[Regulation mechanism of the quorum sensing regulator AphA on the type Ⅵ secretion system VflT6SS2 in Vibrio fluvialis]

Objective: To explore the regulation mechanism of the quorum sensing regulator AphA on the functional activity of type Ⅵ secretion system VflT6SS2 in Vibrio fluvialis. Methods: Western Blot analysis was used to detect the relative expression and secretion of VflT6SS2 signature component hemolysin-coregulated protein (Hcp) in wild type (WT), ΔaphA, and corresponding complementary strains. Quantitative reverse transcription PCR and luminescence activity assay of the promoter-lux fusion system was used to measure the mRNA expression levels and promoter activity of the VflT6SS2 core and accessory gene-cluster representative genes tssB2, hcp (tssD2) and vgrG (tssI2), and the quorum sensing regulator HapR in WT and ΔaphA strains. A point mutation experiment combined with a luminescence activity assay was used to verify the regulatory binding site of AphA in the tssD2b promoter region. Electrophoretic mobility shift assay (EMSA) was used to determine AphA binding to the hapR promoter. Results: The mRNA expression levels of tssB2, hcp(tssD2), vgrG (tssI2), and hapR as well as the protein expression and secretion levels of Hcp in ΔaphA strain, were significantly higher than those in the WT strain. The promoter activities of the VflT6SS2 core cluster, tssD2a, tssI2a, and hapR were higher in ΔaphA strain than in the WT strain, while the promoter activity of tssD2b showed the opposite trend. The promoter sequence analysis of tssD2a and tssD2b found significant differences in the region from -335 bp to -229 bp, and two potential AphA binding sites on tssD2b. The promoter activity of tssD2b decreased significantly after the point mutation of the two potential AphA binding sites. EMSA results showed that AphA binds directly to the promoter region of hapR. Conclusions: AphA indirectly inhibits the regulation of the VflT6SS2 core and accessory gene clusters at the promoter level by directly repressing the expression of hapR. AphA showed opposite regulation patterns for tssD2a and tssD2b, and AphA could positively regulate the expression of tssD2b by directly binding to the tssD2b promoter region (-335 bp to -229 bp).

Effects of gonadotropin-inhibitory hormone on testicular development and reproduction-related gene expression in roosters

Gonadotropin-inhibitory hormone (GnIH) plays a crucial role in regulating reproduction in the hypothalamus of poultry and has been intensely investigated since its discovery. This study aimed to assess the effects of GnIH on testicular development, as well as on reproduction-related hormone release and gene expression levels in roosters. The administration of exogenous GnIH resulted in a significant reduction in testis weight, testis volume and semen quality (p < 0.05). Additionally, exogenous GnIH significantly up-regulates the expression of GnIH, and down-regulates the expression of PRL (p < 0.05). GnIH application also decreased the GnRH, vasoactive intestinal peptide (VIP) and luteinizing hormone β subunit(LHβ)gene expression levels. Meanwhile, by neutralizing the effects of endogenous GnIH through immunization, testicular development on day 150 in roosters was significantly promoted. Compared to the control condition, GnIH immunization significantly down-regulated the expression of the VIP and PRL genes (p < 0.05). In conclusion, we found that exogenous GnIH treatment inhibited testicular development, reduces PRL gene expression, and suppressed reproductive performance in roosters. Conversely, GnIH immunization down-regulated VIP and PRL genes, activates the reproductive system, and promotes the reproductive activity and testicular development of roosters.

[Clinical features of SF3B1 mutation in patients with myelodysplastic syndrome with excess blasts]

Objective: To exploring the clinical features of SF3B1-mutated myelodysplastic syndrome with excess blasts (MDS-EB) and analyzing the association between SF3B1 mutation, and efficacy and prognostic significance for patients with MDS-EB. Methods: This was a retrospective case series study. The clinical data of 266 patients with MDS-EB diagnosed in the First Affiliated Hospital of Zhengzhou University between April 2016 and November 2021 were analyzed. The observed indicators included blood routine counts, mutated genes, overall response rate (ORR), overall survival (OS), progression-free survival (PFS), and leukemia-free survival (LFS). The Kaplan-Meier method was used to depict the survival curves. The Log-rank test method was equally used to compare survival across groups and performed the Cox proportional hazard regression model for prognostic analysis. Results: In 266 patients with MDS-EB, 166 (62.4%) were men, and the median age was 57 (17-81) years. Moreover, there were included 26 and 240 patients in the SF3B1-mutated and SF3B1 wild-type groups. Patients in the SF3B1-mutated group were older [median age 65 (51, 69) years vs. 56 (46, 66) years, P=0.033], had higher white blood cell (WBC) counts [3.08 (2.35, 4.78) × 10⁹/L vs. 2.13 (1.40, 3.77) × 10⁹/L], platelet (PLT) counts [122.5 (50.5, 215.0) ×10⁹/L vs. 49.0 (24.3, 100.8) × 10⁹/L], absolute neutrophil counts (ANC) [1.83 (1.01, 2.88) × 10⁹/L vs. 0.80 (0.41, 1.99) × 10⁹/L]and occurrence of DNMT3A mutation [23.1% (6/26) vs. 6.7% (16/240)] (all P<0.05). The ORR were similar in both groups after 2 and 4 cycles of therapy (P=0.348, P=1.000). Moreover, the LFS (P=0.218), PFS (P=0.179) and OS (P=0.188) were similar across the groups. Univariate Cox analysis revealed that SF3B1 mutation did not affect the prognosis of patients with MDS-EB (OS: P=0.193; PFS: P=0.184). Conclusions: Patients with SF3B1 mutation were older, with greater WBC, PLT, and ANC, and SF3B1 mutation easily co-occurred with DNMT3A mutation. From this model, there were no significant differences in efficacy and survival of MDS-EB with or without SF3B1 mutation.

Learning behavior in augmented reality–mediated mobile game–based learning

Purpose

This paper aims to investigate whether the effects of children's current learning are related to their learning efficiency and behavior when they are exposed to two different gaming media.

Design/methodology/approach

In this paper the authors used a quasi-experimental design to determine whether game-based learning can be improved by using mobile devices equipped with augmented reality (AR).

Findings

The control group using the card game was careful to find the correct answer, with the intention of “obtaining the maximum score with the highest rate of correctness,” whereas the experimental group using the AR board game played aggressively by “obtaining the maximum score with the highest number.”

Research limitations/implications

Although integrating an AR board game into the curriculum is an effective approach, the need to implement such a game in response to different learning attitudes and behaviors of students should be addressed.

Practical implications

Depending on the learning situation, different teaching methods and aids can be used to help students effectively learn. The recommendations based on this experiment can broaden the teaching field and allow for a wider range of experimental studies.

Originality/value

Learning behavior was observed, and user attention was interpreted using MindWave Mobile.

[Influencing factors of suicidal ideation among men who have sex with men]

Objective: To investigate the prevalence of suicidal ideation among MSM, and to explore the influence of perceived social support and depression on suicidal ideation and the possible pathway. Methods: MSM who are ≥18 years, HIV-negative, and ever had sex with men (oral sex/anal sex) in the last year participated in is study. Cross-sectional survey and convenient sampling method were used to recruit MSM through a male social interaction platform Blued 7.5 software from December 2020 to March 2021, with a questionnaire survey. Demographic questionnaire, Perceived Social Support Questionnaire and Center for Epidemiologic Studies Depression Scale were employed to collect data. Mplus 8.3 was used for data analysis. Results: Among 1 394 eligible MSM participants, 25.7% (358/1 394) had suicidal ideation. Perceived social support could have a direct effect on suicidal ideation (β=-0.11, P=0.009), and an indirect effect on suicidal ideation through depression (β=-0.18, P<0.001). Conclusions: Suicidal ideation was found to be lower in MSM with a higher level of perceived social support and a lower level of depression. Using social media to improve MSM's perceived social support and reduce depressive symptoms might be an effective means to prevent suicidal ideation.

Analysis of Learning Behavior of Human Posture Recognition in Maker Education

Maker education mainly involves “hands-on” as the core concept and combines various educational theories to redefine interactions between learners and teachers in a learning environment. Identification of meaningful “hands-on” behaviors is crucial to evaluate students’ learning performance, although an instructor’s observation of every student is not feasible. However, such observation is possible with the aid of the artificial intelligence (AI) image processing technique; the AI learning behavior recognition system can serve as the second eyes of teachers, thus accounting for individual differences. However, in previous studies, learning behavior recognition was applied to the traditional or static classroom. A behavior recognition system for identifying “hands-on” actions in the learning context has still not been developed. Therefore, this study designed a human posture evaluation system, obtained human articulation node information from learning field images, and built a learning behavior recognition model suitable for maker education based on the AI convolutional neural network (CNN). A learning behavior model was defined, along with a number of student behavior indexes. Subsequently, the effectiveness of the model and behavior indexes was verified through practical learning activities. The model evaluation results indicated that the proposed model achieved a training accuracy of 0.99 and a model accuracy of 0.83. Thus, the model can be applied to dynamic maker activity learning environments.

The Influence of Affective Feedback Adaptive Learning System on Learning Engagement and Self-Directed Learning

The outbreak of the two-year corona virus has made a great difference on existing methods of learning and instruction. Online education has become a crucial role to maintain non-stop learning after the post-epidemic period. The advanced technologies and growing popularity of network equipment have made it easy to deploy remote connections. However, teachers still face challenges when they actually implement distance courses. During the learning process, the quality of learning can be improved if the researchers consider multiple factors, including emotions, attitudes, engagement, cognition, neuroscientific and cultural psychology. After analyzing these factors, instructors can have better understanding of students' mental building and cognitive understanding in their process of learning, and be familiar with the way of interaction with students and appropriately adjust their teaching. Therefore, the current study established a learning system that aimed to understand learners' emotional signals during learning by applying the adaptive-feedback emotional computing technology. The purpose of the system was to allow learners to (1) self-examine their learning condition, (2) enhance their self-directed learning, (3) help learners who are in negative learning emotions or settings to lower anxieties, and (4) promote their learning attitudes and engagement. Result showed that the system with the adaptive-feedback emotional computing technology has significantly improved the learning effectiveness, lowered learning anxieties and increased students' self-directed learning.

[Sustainable development roadmap of Chinese antimalarial products]

As the first country that has been certified malaria-free in the WHO Western Pacific Region for more than 3 decades, China should share its successful experiences of malaria control and provide globally recognized anti-malaria products by making full uses of its advantages in provision and production capacity of artemisinin raw materials, to fill the gaps of international demands for mosquito nets, rapid diagnostic reagents and antimalarial compounds. Increasing the investment of research and development of antimalarial products, building overseas bases for artemisinin raw material production, establishing international regulatory authority and promoting the local production of antimalarial products are needed to further promote the internationalization of Chinese antimalarial products, so as to achieve the equity and accessibility of Chinese antimalarial products in highburden regions for malaria.

Investigation of the Influence of Artificial Intelligence Markup Language-Based LINE ChatBot in Contextual English Learning

This study is intended to create an innovative contextual English learning environment making use of the widely used communication software, LINE ChatBot, based on the Artificial Intelligence Markup Language (AIML), in order to improve speaking and listening ability among learners. A total of 73 students were invited to participate in learning activities involving a 4-week English conversation exercise including both speaking and listening. Additionally, in order to explore the influence of competition on language acquisition, we added competition characteristics to the learning activities in the experimental group to enhance learning motivation and learning outcomes. The results showed that with the help of the LINE ChatBot contextual learning environment, the performance of both groups of students was slightly enhanced, but no significant differences were found. Meanwhile, extrinsic motivation in both the experimental and control group was improved if they spoke anonymously. That is, the contextual learning environment based on the LINE ChatBot significantly improved the learners' English speaking and listening ability. In addition, the results showed that the addition of a competition element effectively enhanced the learners' intrinsic motivation to learn English on the LINE ChatBot.

Affective Mobile Language Tutoring System for Supporting Language Learning

Students often face difficulties and experience negative emotions toward second language learning. The affective tutoring system (ATS) is a next-generation learning approach that can detect the affective status of learning to increase performance. Therefore, for the purposes of this study, an innovative affective mobile language tutoring system (AMLTS) was designed to support Japanese language learning. The effects of AMLTS, along with asynchronous discussion, that were intended to improve performance, were examined using a triangulation method. To investigate the effect on emotion, the proposed AMLTS provides a virtual emotion agent that can interact with users and record emotional events, learning assessments, and the results of the interaction into a database. Learning effectiveness evaluations were conducted via two experiments: prototype evaluation and final evaluation. Sixty-three students, all beginners, were invited to use the AMLTS to learn Japanese. The research results show that the proposed AMLTS affective interaction design significantly improves learner engagement and performance. In the emotion feedback analysis and learning process, AMLTS helped students deepen their understanding of the content, enabled them to clearly understand the content, and to engage in peer interaction and experience positive emotions. In the evaluation of system usability, AMLTS reveals good usability for foreign language acquisition.

A comparison of prokaryote communities inhabiting sponges, bacterial mats, sediment and seawater in Southeast Asian coral reefs

In the present study, we used Illumina sequencing to explore the prokaryote communities of 17 demosponge species and how they compare with bacterial mat, sediment and seawater samples (all sampled from coral reef habitat in Taiwan and Thailand). The studied sponge species formed three clusters. Operational taxonomic unit (OTU) richness and evenness were by far highest in the sediment and bacterial mat biotopes. There were pronounced differences in OTU richness and evenness among clusters and also considerable variation among certain host species within clusters. Additionally, the relative abundance of some prokaryotic taxa also differed among clusters with Poribacteria, e.g., being recorded in all sponge species, but with very low relative abundances in species of two of the three clusters. This sponge-associated phylum was, however, recorded at relatively high mean abundance in bacterial mat samples, which also housed relatively high abundances of actinobacterial and Chloroflexi members. Our results support high microbial abundance (HMA) status of the species Aaptos lobata, Hyrtios erectus, Pseudoceratina purpurea and Xestospongia testudinaria and low microbial abundance (LMA) status of the species Acanthella cavernosa, Echinodictyum asperum, Jaspis splendens, Ptilocaulis spiculifer, Stylissa carteri and Suberites diversicolor. Other species (Agelas cavernosa, Agelas nemoechinata, Acanthostylotella cornuta, Paratetilla sp., Hymeniacidon sp. and Haliclona cymaeformis) deviated somewhat from the typical HMA/LMA dichotomy and formed a strongly supported cluster.

[COVID-19 pandemic: global epidemiological trends and China's subsequent preparedness and responses]

The outbreak of COVID-19 has spread quickly across 114 countries/territories/areas in six continents worldwide and has been announced as a pandemic by WHO. This study analyzed global COVID-19 epidemiological trends, examined impact of the pandemic on global health security, diplomacy, and social environment in China, and provided short- and long-term strategic policy recommendations for China's subsequent preparedness and responses.

Prednisolone dose during treatment of tuberculosis might be a risk factor for mortality in patients with systemic lupus erythematosus: a hospital-based cohort study

Patients with systemic lupus erythematosus (SLE) are at high risk of tuberculosis (TB) because of their immunocompromised status and the use of immunosuppressive drugs. In endemic regions, TB complicates the diagnosis and treatment of SLE, but the risk factors of mortality in these patients have not been investigated. In this study, we reviewed medical records during 2006–2016. Patients who fulfilled the 1997 American College of Rheumatology SLE criteria and presented with definite TB were enrolled. The primary outcome was mortality during TB treatment. There were 5388 SLE patients screened, and 30 patients were enrolled. Seven patients died during follow-up. Compared with the survival group, patients in the mortality group had significantly more central nervous system involvement of TB, higher Systemic Lupus Erythematosus Disease Activity Index-2000 scores and more cyclophosphamide use before TB, and higher prednisolone dose before and during TB treatment. Cox regression showed that prednisolone dose during TB treatment was an independent risk factor for mortality (per 10 mg/day increase, hazard ratio (HR) 1.61, p = .019). For SLE patients, prednisolone dose during TB treatment is an independent risk factor for mortality. Keeping prednisolone dose at less than 25 mg per day during TB treatment might be a reasonable strategy in these patients.

Analysis of EEG Lemple-Ziv complexity and correlative aspects before and after treatment of anti-syphilis therapy for neurosyphilis

Objective To investigate the diagnostic value of electroencephalogram (EEG) complexity in patients with neurosyphilis by comparing the changes of electroencephalogram Lempel-Ziv complexity (EEG-LZC) before and after anti-syphilis treatment. Methods The EEG complexity of neurosyphilis patients diagnosed in our hospital from July in 2015 to June in 2017 was analyzed and compared with other diagnostic results such as serology examination and cerebrospinal fluid examination. Results A total of 27 patients were diagnosed, including 19 males and 8 females, of which 6 were mesenchymal(cerebrospinal membrane and meningeal vascular), 16 were parenchymal(paralytic dementia, spinal cord tuberculosis and optic neuropathy), and 5 were asymptomatic. After intensive anti-syphilis therapy, the LZC increased significantly in all patients while the trend and degree of change were consistent with other diagnostic results. Conclusion The LZC can be used as one of the diagnostic indexes meanwhile the trend and degree of its change can be used as the reference index of curative effect to neurosyphilis.

Facial expression recognition using optimized active regions

In this paper, we report an effective facial expression recognition system for classifying six or seven basic expressions accurately. Instead of using the whole face region, we define three kinds of active regions, i.e., left eye regions, right eye regions and mouth regions. We propose a method to search optimized active regions from the three kinds of active regions. A Convolutional Neural Network (CNN) is trained for each kind of optimized active regions to extract features and classify expressions. In order to get representable features, histogram equalization, rotation correction and spatial normalization are carried out on the expression images. A decision-level fusion method is applied, by which the final result of expression recognition is obtained via majority voting of the three CNNs’ results. Experiments on both independent databases and fused database are carried out to evaluate the performance of the proposed system. Our novel method achieves higher accuracy compared to previous literature, with the added benefit of low latency for inference.

[Clinical applications of intelligent pressure control flexible ureteroscope for the treatment of renal calculi ≤2 cm]

Objective: To evaluate the effectiveness and safety of intelligent pressure control flexible ureteroscope for management of renal stones ≤2 cm. Methods: The clinical data of 267 cases of renal calculi treated with flexible ureteroscope lithotripsy at Department of Urology, Ganzhou People's Hospital from June 2015 to December 2017 were analyzed retrospectively. There were 129 male and 138 female patients, with a mean age of 51.2 years (ranging from 19 to 76 years). Among them, 145 patients underwent intelligent pressure control flexible ureteroscope (intelligent control group) and 122 patients underwent flexible ureteroscope ordinary (ordinary group). The t test, χ² test or Fisher exact test were used for statistical analysis. The success rate of stone seeking, the stone free rates, the incidence of complications, the average operation time, the average hospital stay after operation were compared between the two groups. Results: The average mean operative time of the patients with intelligent control group was (26.17 ± 8.64) minutes, significantly shorter than (47.23±18.35) minutes of the ordinary group (t=1.968, P=0.000). The stone free rate of the patients with intelligent control group was 97.2%, it was higher than 86.0% of ordinary group (χ²=0.069, P=0.004). The complication rate of the patients with intelligent control group was 2.7%, which was significantly shorter than 18.0% of the ordinary group (χ²=17.586, P=0.000). However, there was no significant difference between the two groups in the success rate of stone seeking and postoperative hospital stay (P>0.05). Conclusion: Intelligent controlled pressure ureteral flexible ureteroscope has the advantages of short operation time, high stone free rate and less complications in the treatment of renal calculi ≤2 cm compared with flexible ureteroscope ordinary.

[Assessment of Height Prediction Model Based on SNPs Loci]

OBJECTIVES

To establish a height prediction model of Chinese Han male based on the reported 547 height-associated single nucleotide polymorphisms （SNPs） loci in Europeans, and assess its accuracy for height estimation.

METHODS

The DNA typing was analyzed in 59 Han male samples of Shandong province by Affymetrix SNP Array 6.0 chip and HiSeq 4000 sequencing platform. Prediction model was established using 547 height-associated SNPs loci as predictors and weight allele sums （WAS） as computing method. The accuracy of height prediction model was analysed using receiver operating characteristic （ROC） curve and area under curve （AUC）.

RESULTS

There was no height-associated SNPs locus was found by genome-wide association studies. In present study, height prediction model was established by WAS and obtained an AUC of 0.67 （95% CI: 0.53-0.90）.

CONCLUSIONS

It has reference value for predicting the height of Han male in Shandong province by WAS model based on 547 SNPs loci, while it is still necessary to further promote the accuracy of the prediction model by screening more height-associated SNPs loci with population heterogeneity.

Sponge Prokaryote Communities in Taiwanese Coral Reef and Shallow Hydrothermal Vent Ecosystems

Previously, it was believed that the prokaryote communities of typical 'low-microbial abundance' (LMA) or 'non-symbiont harboring' sponges were merely subsets of the prokaryote plankton community. Recent research has, however, shown that these sponges are dominated by particular clades of Proteobacteria or Cyanobacteria. Here, we expand on this research and assess the composition and putative functional profiles of prokaryotic communities from LMA sponges collected in two ecosystems (coral reef and hydrothermal vent) from vicinal islands of Taiwan with distinct physicochemical conditions. Six sponge species identified as Acanthella cavernosa (Bubarida), Echinodictyum asperum, Ptilocaulis spiculifer (Axinellida), Jaspis splendens (Tetractinellida), Stylissa carteri (Scopalinida) and Suberites sp. (Suberitida) were sampled in coral reefs in the Penghu archipelago. One sponge species provisionally identified as Hymeniacidon novo spec. (Suberitida) was sampled in hydrothermal vent habitat. Each sponge was dominated by a limited set of operational taxonomic units which were similar to sequences from organisms previously obtained from other LMA sponges. There was a distinct bacterial community between sponges collected in coral reef and in hydrothermal vents. The putative functional profile revealed that the prokaryote community from sponges collected in hydrothermal vents was significantly enriched for pathways related to DNA replication and repair.

Evaluating students’ learning achievement and flow experience with tablet PCs based on AR and tangible technology in u-learning

Purpose

Advances in technology have led to continuous innovations in teaching and learning methods. Ubiquitous-learning (u-learning) practices are still in the development stages. The current lack of effective learning strategy tools means that students often experience difficulty focusing on the learning objectives. Little research has been done on the educational benefits of integrating augmented reality (AR) technology running on tablet PCs (TPCs), either in the classroom or in a u-learning environment. Still, classroom instruction using TPCs has been shown to be attractive to students and able to effectively increase their motivation to learn. The paper aims to discuss these issues.

Design/methodology/approach

This paper uses a TPC game (an app called SkyView) to help young students understand the theory and practically implement the astronomy concepts of prograde and retrograde motion. The study design is based on the use of AR technology, and the authors divide students into “tablet PC application” (experimental group) and “astrolabe” (control group) games. The authors investigate whether the experimental group surpasses the control group in terms of learning motivation, flow experience (FE), self-efficacy regarding technology, self-efficacy regarding science, positive feelings about the learning experience, and satisfaction with the learning approach (SL).

Findings

The findings show that students in the experimental group performed better in regards to learning achievement. In general, the improved FE helped students enjoy the learning activity to the point that they did not notice the passage of time. In regards to SL, the findings show that the students in the experimental group had an increased willingness to use the TPC to learn.

Originality/value

There is a lack of research investigating the effects of the FE with tangible and AR technology in learning environments. The results of this study show the responses and performance of elementary students who participated in such a learning experience, in terms of their feelings regarding the method and tools, and in terms of their motivation, willingness to learn, and actual learning achievement.

FAMLF is a target of miR-181b in Burkitt lymphoma

Burkitt lymphoma (BL) is a highly malignant non-Hodgkin's lymphoma that is closely related to the abnormal expression of genes. Familial acute myelogenous leukemia related factor (FAMLF; GenBank accession No. EF413001.1) is a novel gene that was cloned by our research group, and miR-181b is located in the intron of the FAMLF gene. To verify the role of miR-181b and FAMLF in BL, RNAhybrid software was used to predict target site of miR-181b on FAMLF and real-time quantitative PCR (RQ-PCR) was used to detect expression of miR-181b and FAMLF in BL patients, Raji cells and unaffected individuals. miR-181b was then transfected into Raji and CA46 cell lines and FAMLF expression was examined by RQ-PCR and western blotting. Further, Raji cells viability and proliferation were detected by MTT and clone formation, and Raji cell cycle and apoptosis were detected by flow cytometry. The results showed that miR-181b can bind to bases 21–42 of the FAMLF 5′ untranslated region (UTR), FAMLF was highly expressed and miR-181b was lowly expressed in BL patients compared with unaffected individuals. FAMLF expression was significantly and inversely correlated to miR-181b expression, and miR-181b negatively regulated FAMLF at posttranscriptional and translational levels. A dual-luciferase reporter gene assay identified that the 5′ UTR of FAMLF mRNA contained putative binding sites for miR-181b. Down-regulation of FAMLF by miR-181b arrested cell cycle, inhibited cell viability and proliferation in a BL cell line model. Our findings explain a new mechanism of BL pathogenesis and may also have implications in the therapy of FAMLF-overexpressing BL.

Expression of T-lymphoma invasion and metastasis factor on the occurrence of oral squamous cell carcinoma

In recent years, many studies have found that tumor metastasis-related gene T-lymphoma invasion and metastasis-inducing factor 1 (TIAM1) had abnormal high expression in a variety of tumor cells; however, there are few studies regarding its expression in oral squamous cell carcinoma (OSCC). This study aimed to observe the expression of TIAM1 in OSCC and investigated its clinical significance. The expression of TIAM1 in tissues from 120 cases of OSCC and oral mucosa from 40 normal cases was detected by immunohistochemistry, and the relationship between the expression of TIAM1 and the clinicopathological parameters of OSCC was analyzed. The positive expression rate of TIAM1 in the OSCC tissues was significantly higher than that in the normal oral mucosa (92.5% vs 0%). With the decrease of histological differentiation of OSCC, the increase of tumor node metastasis (TNM) stage and the occurrence of lymph node metastasis, the TIAM1 staining positive rate was gradually increased, and the difference was statistically significant (P less than 0.05). However, the expression of TIAM1 in the OSCC tissues was in no correlation with the gender and age of the patients. The expression of TIAM1 is closely related to the occurrence, development and metastasis of OSCC, and it can be used as a new marker for reflecting its biological behaviors.

A putative mechanism on remission of multiple sclerosis during pregnancy: estrogen-induced indoleamine 2,3-dioxygenase by dendritic cells

The basis for the reduced relapse rate of multiple sclerosis (MS) during pregnancy remains unexplained but, if defined, could create novel treatment options. Estrogen constitutes one candidate molecule, but the mechanism by which estrogen may affect MS during pregnancy is unclear. In this study, we used monocyte-derived dendritic cells (DCs) from MS patients to explore the estrogen (17-b-estradiol)-related pathway of immune modulation. Estrogen induced the expression of indoleamine 2,3-dioxygenase (IDO) on DCs, limiting T-cell proliferation and both Th1 and Th2 cytokine production. The suppression of T-cell proliferation mediated by estrogenexposed DCs was partly abolished by the IDO-inhibitor, 1-methyl-dl-tryptophan, indicating that estrogen-exposed DCs induced IDO-dependent T-cell suppression. Our data support the hypothesis that the change in the clinical course of MS observed in pregnancy may be related to the estrogen DC-IDO axis, which could represent a novel target for MS therapy.

Implementation and evaluation of mobile e-books in a cloud bookcase using the information system success model

Purpose

– To continue to develop and improve cloud e-bookcases, the purpose of this paper is to implement a cloud e-bookcase and modifies the information systems (ISs) success model to make it capable of assessing this system. It also provides suggestions for future systems development.

Design/methodology/approach

– This study implements a cloud bookcase and uses the IS success model to evaluate user intention and satisfaction with the system. It also develops a success model for the cloud bookcase.

Findings

– The results of study indicate that user satisfaction and intention with regard to using the system are positively related to net benefits. In other words, increasing user satisfaction and intention with regard to using the system will have a positive effect on the benefits users receive from doing so.

Practical implications

– Users think the functions and services of the cloud bookcase can indeed help them search for and organize information about electronic books. However, they are not satisfied with the information quality. Therefore, further work is needed to identify any important factors that this study did not investigate. This study suggests that the quality of a system’s functions and guide service have to be upgraded in order to increase user satisfaction with and intention to use the system.

Originality/value

– This study implements a cloud bookcase and uses the IS success model for verification. An overall explanatory power of 77.9 percent is achieved with this approach. User satisfaction with and intention to use the system are independent from each other, and the results caused by various factors can be separately identified. The findings of this study have considerable practical value.

Integrating ISSM into TAM to enhance digital library services

Purpose

This study aims to propose a new model by incorporating information system success model (ISSM) into technology acceptance model (TAM) with an “attitude toward using” as the connection variable. The new model is then adopted to analyse and investigate empirical data and develop relevant factors, which affect the personal usage behaviour and net benefits for National Central Library in Taiwan to enhance digital library services. The research results can benefit future establishment and design of library information system or improvement of website service procedures.

Design/methodology/approach

This study selected National Central Library Taiwan Digital Meta-Library as the research theme, and used stratified convenience sampling to perform interviews in various colleges and universities in the southern Taiwan. A total of 264 valid questionnaires were returned, and this study used structural equation modelling (SEM) to perform analyses.

Findings

The results reveal that attitude toward using is significantly and positively affected by perceived usefulness, perceived ease of use and user satisfaction. However, service quality of information system and personal net benefits do not have a significant and positive effect on attitude toward using, while they have an indirect and significant effect on attitude toward using through user satisfaction. Based on the results above, “user satisfaction” is the critical factor affecting the attitude toward using. Therefore, to strengthen users’ positive attitude toward using, the factor of user satisfaction is a key for enhancing digital library service.

Originality/value

This study constructed the “New Technology Information Assessment Model” as the reference for improving practical assessment. Moreover, this study also proposed the suggestions concerning digital library information services.

Development and evaluation of the mobile library service system success model

Purpose

– The purpose of this study is to develop and analyse the usage status, level of satisfaction and success model of a mobile library service system in Taiwan. The research results could serve as a reference for the development, evaluation and improvement of libraries’ mobile services.

Design/methodology/approach

– This study designed a mobile library service system and used the informational system success model to evaluate its use status and level of satisfaction and, thus, to develop a success model for a mobile library service system.

Findings

– Results showed that students’ level of satisfaction with the mobile library service system had a positive correlation with the usage status indicated that the system could help them to improve their work efficiency, such as by reducing time spent searching for books and cost of obtaining electronic resources. The students also expressed a willingness to continue using the mobile library service system.

Practical implications

– In general, the students thought that the mobile library service system could reduce the time needed to search for book-related information, but that the service quality should be improved. Therefore, this study suggests that the education and training of system service personnel should be enhanced and that easy-to-use functions be provided to promote the users’ level of satisfaction and willingness to use the system.

Originality/value

– This study developed a mobile library service system and invited students studying in the National University of Tainan, in southern Taiwan, to be the subjects in an experiment, with a goal to evaluate the success of a model mobile library. The findings showed that the overall explanatory power (R2) of this model was 55 per cent and, thus, that the findings of this work have practical significance.

Identifying cooperative transcription factors in yeast using multiple data sources

BACKGROUND

Transcriptional regulation of gene expression is usually accomplished by multiple interactive transcription factors (TFs). Therefore, it is crucial to understand the precise cooperative interactions among TFs. Various kinds of experimental data including ChIP-chip, TF binding site (TFBS), gene expression, TF knockout and protein-protein interaction data have been used to identify cooperative TF pairs in existing methods. The nucleosome occupancy data is not yet used for this research topic despite that several researches have revealed the association between nucleosomes and TFBSs.

RESULTS

In this study, we developed a novel method to infer the cooperativity between two TFs by integrating the TF-gene documented regulation, TFBS and nucleosome occupancy data. TF-gene documented regulation and TFBS data were used to determine the target genes of a TF, and the genome-wide nucleosome occupancy data was used to assess the nucleosome occupancy on TFBSs. Our method identifies cooperative TF pairs based on two biologically plausible assumptions. If two TFs cooperate, then (i) they should have a significantly higher number of common target genes than random expectation and (ii) their binding sites (in the promoters of their common target genes) should tend to be co-depleted of nucleosomes in order to make these binding sites simultaneously accessible to TF binding. Each TF pair is given a cooperativity score by our method. The higher the score is, the more likely a TF pair has cooperativity. Finally, a list of 27 cooperative TF pairs has been predicted by our method. Among these 27 TF pairs, 19 pairs are also predicted by existing methods. The other 8 pairs are novel cooperative TF pairs predicted by our method. The biological relevance of these 8 novel cooperative TF pairs is justified by the existence of protein-protein interactions and co-annotation in the same MIPS functional categories. Moreover, we adopted three performance indices to compare our predictions with 11 existing methods' predictions. We show that our method performs better than these 11 existing methods in identifying cooperative TF pairs in yeast. Finally, the cooperative TF network constructed from the 27 predicted cooperative TF pairs shows that our method has the power to find cooperative TF pairs of different biological processes.

CONCLUSION

Our method is effective in identifying cooperative TF pairs in yeast. Many of our predictions are validated by the literature, and our method outperforms 11 existing methods. We believe that our study will help biologists to understand the mechanisms of transcriptional regulation in eukaryotic cells.

A comprehensive performance evaluation on the prediction results of existing cooperative transcription factors identification algorithms

Background

Eukaryotic transcriptional regulation is known to be highly connected through the networks of cooperative transcription factors (TFs). Measuring the cooperativity of TFs is helpful for understanding the biological relevance of these TFs in regulating genes. The recent advances in computational techniques led to various predictions of cooperative TF pairs in yeast. As each algorithm integrated different data resources and was developed based on different rationales, it possessed its own merit and claimed outperforming others. However, the claim was prone to subjectivity because each algorithm compared with only a few other algorithms and only used a small set of performance indices for comparison. This motivated us to propose a series of indices to objectively evaluate the prediction performance of existing algorithms. And based on the proposed performance indices, we conducted a comprehensive performance evaluation.

Results

We collected 14 sets of predicted cooperative TF pairs (PCTFPs) in yeast from 14 existing algorithms in the literature. Using the eight performance indices we adopted/proposed, the cooperativity of each PCTFP was measured and a ranking score according to the mean cooperativity of the set was given to each set of PCTFPs under evaluation for each performance index. It was seen that the ranking scores of a set of PCTFPs vary with different performance indices, implying that an algorithm used in predicting cooperative TF pairs is of strength somewhere but may be of weakness elsewhere. We finally made a comprehensive ranking for these 14 sets. The results showed that Wang J's study obtained the best performance evaluation on the prediction of cooperative TF pairs in yeast.

Conclusions

In this study, we adopted/proposed eight performance indices to make a comprehensive performance evaluation on the prediction results of 14 existing cooperative TFs identification algorithms. Most importantly, these proposed indices can be easily applied to measure the performance of new algorithms developed in the future, thus expedite progress in this research field.

An evaluation model for digital libraries' user interfaces using fuzzy AHP

Purpose

– The aim of this paper is to improve the service quality of digital libraries (DLs) through an evaluation model for DLs' user interfaces. This evaluation model can provide a useful reference for existing DLs or relevant research.

Design/methodology/approach

– Relevant literature was synthesized, an evaluation framework was established, and the Fuzzy AHP was employed to investigate the evaluation model for DLs' user interfaces, obtain the relative weights for the importance of the evaluation criteria, and establish the priority ranking for the criteria of DLs' user interfaces.

Findings

– The top five criteria are ease of use, searching, language, presentation, and design, respectively. For users, an interface should be intuitive. Good interface presentation and design are critical when users evaluate a digital library.

Practical implications

– All of the students, teachers and experts considered that the presentation and design of DL user interfaces were what users had had contact with in the very beginning, and they were critical influential factors in DL user interfaces. Furthermore, ease-of-use and searching were fundamental interface functions, as well as important evaluation criteria. Interfaces should also provide interactive functions to improve interaction, while tailor-made services should be taken into account to establish an excellent interface in order to meet each user's need.

Originality/value

– The evaluation model for DLs' user interfaces employed in this study will help developers of DL user interfaces discover the criteria that they should aim for as a reference, perform comprehensive criteria evaluation according to their actual needs, and employ top criteria for evaluation.

A cloud computing based platform for sleep behavior and chronic diseases collaborative research

The objective of this study is to propose a Cloud Computing based platform for sleep behavior and chronic disease collaborative research. The platform consists of two main components: (1) a sensing bed sheet with textile sensors to automatically record patient's sleep behaviors and vital signs, and (2) a service-oriented cloud computing architecture (SOCCA) that provides a data repository and allows for sharing and analysis of collected data. Also, we describe our systematic approach to implementing the SOCCA. We believe that the new cloud-based platform can provide nurse and other health professional researchers located in differing geographic locations with a cost effective, flexible, secure and privacy-preserved research environment.

OrchidBase 2.0: comprehensive collection of Orchidaceae floral transcriptomes

Both floral development and evolutionary trends of orchid flowers have long attracted the interest of biologists. However, expressed sequences derived from the flowers of other orchid subfamilies are still scarce except for a few species in Epidendroideae. In order to broadly increase our scope of Orchidaceae genetic information, we updated the OrchidBase to version 2.0 which has 1,562,071 newly added floral non-redundant transcribed sequences (unigenes) collected comprehensively from 10 orchid species across five subfamilies of Orchidaceae. A total of 662,671,362 reads were obtained by using next-generation sequencing (NGS) Solexa Illumina sequencers. After assembly, on average 156,207 unigenes were generated for each species. The average length of a unigene is 347 bp. We made a detailed annotation including general information, relative expression level, gene ontology (GO), KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway mapping and gene network prediction. The online resources for putative annotation can be searched either by text or by using BLAST, and the results can be explored on the website and downloaded. We have re-designed the user interface in the new version. Users can enter the Phalaenopsis transcriptome or Orchidaceae floral transcriptome to browse or search the unigenes. OrchidBase 2.0 is freely available at http://orchidbase.itps.ncku.edu.tw/.

Transcriptomic analysis of floral organs from Phalaenopsis orchid by using oligonucleotide microarray

Orchids are one of the most species rich of all angiosperm families. Their extraordinary floral diversity, especially conspicuous labellum morphology, makes them the successful species during evolution process. Because of the fine and delicate development of the perianth, orchid provides a rich subject for studying developmental biology. However, study on molecular mechanism underling orchid floral development is still in its infancy. In this study, we developed an oligomicroarray containing 14,732 unigenes based on the information of expressed sequence tags derived from Phalaenopsis orchids. We applied the oligomicroarray to compare transcriptome among different types of floral organs including sepal, petal and labellum. We discovered that 173, 11, and 285 unigenes were highly differentially expressed in sepal, petal, and labellum, respectively. These unigenes were annotated with Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, and transcription factor family. Unigenes involved in energy metabolism, lipid metabolism, and terpenoid metabolism are significantly differentially distributed between labellum and two types of tepal (sepal and petal). Labellum-dominant unigenes encoding MADS-box and sepal-dominant unigenes encoding WRKY transcription factors were also identified. Further studies are required but data suggest that it will be possible to identify genes better adapted to sepal, petal and labellum function. The developed functional genomic tool will narrow the gap between approaches based on model organisms with plenty genomic resources and species that are important for developmental and evolutionary studies.

Developing a reading concentration monitoring system by applying an artificial bee colony algorithm to e-books in an intelligent classroom

A growing number of educational studies apply sensors to improve student learning in real classroom settings. However, how can sensors be integrated into classrooms to help instructors find out students' reading concentration rates and thus better increase learning effectiveness? The aim of the current study was to develop a reading concentration monitoring system for use with e-books in an intelligent classroom and to help instructors find out the students' reading concentration rates. The proposed system uses three types of sensor technologies, namely a webcam, heartbeat sensor, and blood oxygen sensor to detect the learning behaviors of students by capturing various physiological signals. An artificial bee colony (ABC) optimization approach is applied to the data gathered from these sensors to help instructors understand their students' reading concentration rates in a classroom learning environment. The results show that the use of the ABC algorithm in the proposed system can effectively obtain near-optimal solutions. The system has a user-friendly graphical interface, making it easy for instructors to clearly understand the reading status of their students.

A pilot study on conducting mobile learning activities for clinical nursing courses based on the repertory grid approach

In clinical nursing courses, students are trained to identify the status of the target patients. The mastery of such ability and skills is very important since patients frequently need to be cared for immediately. In this pilot study, a repertory grid-oriented clinical mobile learning system is developed for a nursing training program. With the assistance of the mobile learning system, the nursing school students are able to learn in an authentic learning scenario, in which they can physically face the target patients, with the personal guidance and supplementary materials from the learning system to support them. To show the effectiveness of this innovative approach, an experiment has been conducted on the "respiratory system" unit of a nursing course. The experimental results show that the innovative approach is helpful to students in improving their learning achievements. Moreover, from the questionnaire surveys, it was found that most students showed favorable attitudes toward the usage of the mobile learning system and their participation in the training program.

Prolactin plays a stimulatory role in ovarian follicular development and egg laying in chicken hens

The aim of this study was to show a stimulatory role in ovarian follicle development by prolactin (PRL) in chicken hens. In experiment 1, anti-PRL antibodies were generated in hen plasma by intramuscular administrations of recombinant PRL antigen. Egg laying remained at levels lower (P < 0.05) in the PRL-immunized group than in the BSA-immunized group of hens, whereas development of incubation was depressed in the former but not the latter group. Throughout the experiment, plasma PRL concentrations were lower in the PRL-immunized hens than in non-incubating control hens; LH concentrations were similar between the PRL- and BSA-immunized hens until the end of the experiment when LH was lower in the BSA-immunized hens (P < 0.05). In experiment 2, anti-PRL receptor (PRLR) antibodies were raised in hens with the use of immunizations against recombinant PRLR extracellular domain. Immunization against PRLR initially increased the egg-laying rate when measured under the short photoperiod (12 h) but blocked the laying rate increase that occurred in the BSA-immunized control hens when the photoperiod was extended from 12 to 16 h. The development of incubation behavior was not affected by immunization against PRLR nor was plasma PRL or LH concentration. In experiment 3, when the egg-laying rate was depressed in PRL immunization hens, developmental speed of large white follicles was found to be slower than in the BSA-immunized control hens (P < 0.05). These results indicate that immunization against PRL slows down ovarian follicular development and reduces hen egg-laying performance, suggesting that PRL plays a stimulatory role in ovarian follicular development in chicken hens.

The influence of autonomic interventions on the sleep-wake-related changes in gastric myoelectrical activity in rats

BACKGROUND

Significant changes in autonomic activity occur at sleep-wake transitions and constitute an ideal setting for investigating the modulatory role of the autonomic nervous system on gastric myoelectrical activity (GMA).

METHODS

Using continuous power spectral analysis of electroencephalogram, electromyogram, and electrogastromyogram (EGMG) data from freely moving rats that had undergone chemical sympathetomy and/or truncal vagotomy, sleep-wake-related fluctuations in GMA were compared among the intervention groups.

KEY RESULTS

The pattern and extent of fluctuations in EGMG power across the sleep-wake states was blunted most significantly in rats undergoing both chemical sympathectomy and truncal vagotomy. The effect of these interventions also varied with respect to the transition between different sleep-wake states. The most prominent influences were observed between active waking and quiet sleep and between paradoxical sleep and quiet sleep.

CONCLUSIONS & INFERENCES

The sleep-wake-related fluctuations in EGMG power are a result of joint contributions from both sympathetic and vagal innervation. Vagotomy mainly resulted in a reduction in EGMG power, while the role of sympathetic innervation was unveiled by vagotomy and this was reflected most obviously in the extent of the fluctuations in EGMG power.

OrchidBase: a collection of sequences of the transcriptome derived from orchids

Orchids are one of the most ecological and evolutionarily significant plants, and the Orchidaceae is one of the most abundant families of the angiosperms. Genetic databases will be useful not only for gene discovery but also for future genomic annotation. For this purpose, OrchidBase was established from 37,979,342 sequence reads collected from 11 in-house Phalaenopsis orchid cDNA libraries. Among them, 41,310 expressed sequence tags (ESTs) were obtained by using Sanger sequencing, whereas 37,908,032 reads were obtained by using next-generation sequencing (NGS) including both Roche 454 and Solexa Illumina sequencers. These reads were assembled into 8,501 contigs and 76,116 singletons, resulting in 84,617 non-redundant transcribed sequences with an average length of 459 bp. The analysis pipeline of the database is an automated system written in Perl and C#, and consists of the following components: automatic pre-processing of EST reads, assembly of raw sequences, annotation of the assembled sequences and storage of the analyzed information in SQL databases. A web application was implemented with HTML and a Microsoft .NET Framework C# program for browsing and querying the database, creating dynamic web pages on the client side, analyzing gene ontology (GO) and mapping annotated enzymes to KEGG pathways. The online resources for putative annotation can be searched either by text or by using BLAST, and the results can be explored on the website and downloaded. Consequently, the establishment of OrchidBase will provide researchers with a high-quality genetic resource for data mining and facilitate efficient experimental studies on orchid biology and biotechnology. The OrchidBase database is freely available at http://lab.fhes.tn.edu.tw/est.

An efficient management system for wireless sensor networks

Wireless sensor networks have garnered considerable attention recently. Networks typically have many sensor nodes, and are used in commercial, medical, scientific, and military applications for sensing and monitoring the physical world. Many researchers have attempted to improve wireless sensor network management efficiency. A Simple Network Management Protocol (SNMP)-based sensor network management system was developed that is a convenient and effective way for managers to monitor and control sensor network operations. This paper proposes a novel WSNManagement system that can show the connections stated of relationships among sensor nodes and can be used for monitoring, collecting, and analyzing information obtained by wireless sensor networks. The proposed network management system uses collected information for system configuration. The function of performance analysis facilitates convenient management of sensors. Experimental results show that the proposed method enhances the alive rate of an overall sensor node system, reduces the packet lost rate by roughly 5%, and reduces delay time by roughly 0.2 seconds. Performance analysis demonstrates that the proposed system is effective for wireless sensor network management.

Multi-hop routing mechanism for reliable sensor computing

Current research on routing in wireless sensor computing concentrates on increasing the service lifetime, enabling scalability for large number of sensors and supporting fault tolerance for battery exhaustion and broken nodes. A sensor node is naturally exposed to various sources of unreliable communication channels and node failures. Sensor nodes have many failure modes, and each failure degrades the network performance. This work develops a novel mechanism, called Reliable Routing Mechanism (RRM), based on a hybrid cluster-based routing protocol to specify the best reliable routing path for sensor computing. Table-driven intra-cluster routing and on-demand inter-cluster routing are combined by changing the relationship between clusters for sensor computing. Applying a reliable routing mechanism in sensor computing can improve routing reliability, maintain low packet loss, minimize management overhead and save energy consumption. Simulation results indicate that the reliability of the proposed RRM mechanism is around 25% higher than that of the Dynamic Source Routing (DSR) and ad hoc On-demand Distance Vector routing (AODV) mechanisms.

Multiple sclerosis: reduced proportion of circulating plasmacytoid dendritic cells expressing BDCA-2 and BDCA-4 and reduced production of IL-6 and IL-10 in response to herpes simplex virus type 1

OBJECTIVE

We hypothesized that autoaggressive immune responses observed in multiple sclerosis (MS) could be associated with an imbalance in proportion of immune cell subsets and in cytokine production in response to infection, including viruses.

METHODS

We collected blood mononuclear cells (MNC) from 23 patients with MS and 23 sex- and age-matched healthy controls (HC) from the island of Sardinia, Italy, where the prevalence of MS is extraordinarily high. Using flow cytometry, we studied MNC for expression of blood dendritic cell antigens (BDCA)-2 and BDCA-4 surface markers reflecting the proportion of plasmacytoid dendritic cells (pDC) that produce type I interferons (IFNs) after virus challenge and promote Th2/anti-inflammtory cytokine production. In parallel, pro-inflammatory (interleukin [IL]-2, IL-12, IFN-gamma), anti-inflammatory (IL-4, IL-10), and immuno-regulatory/pleiotropic cytokines (type I IFNs including IFN-alpha and beta, IL-6) were measured before and after an in vitro exposure to herpes simplex virus type 1 (HSV-1).

RESULTS

The subset of lineage negative (lin(-)), BDCA-2(+) cells was lower in patients with MS compared with HC (0.08 + or - 0.02% vs 0.24 + or - 0.02%; P < 0.001). A similar pattern was observed for lin(-)BDCA-4(+) cells (0.08 + or - 0.02% vs 0.17% + or - 0.03; P < 0.01). Spontaneous productions of IL-6 (45 + or - 10 pg/mL vs 140 + or - 26 pg/mL; P < 0.01) and IL-10 (17 + or - 0.4 pg/mL vs 21 + or - 1 pg/mL; P < 0.05) by MNC were lower in patients with MS compared with HC. Spontaneous production of IL-6 (6.5 + or - 0.15 pg/mL vs 21 + or - 5 pg/mL; P < 0.01 and IL-10 (11 + or - 1 pg/mL vs 14 + or - 3 pg/mL; P < 0.05) by pDC was also lower in patients with MS compared with HC. Exposure of MNC to HSV-1 showed, in both patients with MS and HC, increased production of IFN-alpha, IL-6, and IL-10 but decreased production of IL-4. In response to HSV-1 exposure, productions of IL-6 (165 +or - 28 pg/mL vs 325 + or - 35 pg/mL; P < 0.01) and IL-10 (27 +or - 3 vs 33 + or - 3 P < 0.05) by MNC as well as by pDC (IL-6: 28 + or - 7 vs 39 + or - 12 P < 0.05; IL-10: 14 + or - 1 vs 16 + or - 3 P < 0.05) were lower in patients with MS compared with HC.

CONCLUSION

The results implicate a new evidence for altered immune cells and reduced immune responses in response to viral challenge in MS.

Endocrine regulations of reproductive seasonality, follicular development and incubation in Magang geese

This study investigated the regulatory mechanisms of seasonal breeding, developments of ovarian follicles and incubation in Magang geese, a short day breeding bird. Throughout the year, plasma PRL concentrations increased in non-breeding season in spring and summer (from April to early August), and remained low in the rest of the year, while LH concentrations peaked in August and September and remained low in non-breeding season (March to June). Lengthening photoperiod increased PRL and decreased LH secretions, which inhibited follicular development, terminated lay and induced moulting, while shortening photoperiod decreased PRL and increased LH secretion and reinitiated lay. Long photoperiod stimulated PRL secretion occurred with increased gene expressions of PRL in the pituitary gland and VIP in the hypothalamus, but inhibition of LH secretion was without decreases in gene expressions of LH beta subunit and GnRH. Under breeding conditions, terminating incubation decreased PRL but increased LH concentrations and resumed lay in 24 days following recruitment of about 10 large white follicles into hierarchical development. Plasma concentrations of progesterone and inhibin peaked at peak lay, whereas LH concentrations exhibited a bi-phasic pattern with troughs at peak lay and incubation when PRL concentrations were high. Ninety percent geese exhibited incubation behaviour after laying one clutch of approximately eight eggs in approximately 30 days. In conclusion the seasonal reproductive activities in Magang geese is directly inhibited by long photoperiod and directly stimulated by short photoperiod via PRL and LH secretions, whose interplays also cause occurrences of four to five lay and incubation cycles in the breeding season.