[Research progress of microvascular invasion in hepatocellular carcinoma]

Hepatocellular carcinoma (HCC) is a kind of highly aggressive tumor of the digestive system. Several studies have confirmed that microvascular invasion (MVI) is an independent risk factor for early recurrence and poor prognosis of HCC after surgery. Currently, pathological examination is the gold standard for diagnosing MVI. This paper summarizes concept, prognosis, preoperative prediction and treatment plan based on literature review of MVI in HCC.

Goat Milk Based Infant Formula in Newborns: A Double-Blind Randomized Controlled Trial on Growth and Safety

OBJECTIVES

We aimed to determine the growth and safety parameters in newborns fed a goat milk based infant formula (GMF) using a randomized double-blind trial, in which a cow milk formula (CMF) served as a control and a breast fed (BF) group as a reference.

METHODS

Healthy term infants (n = 218) aged up to 14 days were recruited from 25 European study centers and randomized to GMF or CMF. Weight, length, head circumference were measured at baseline, and at 14, 28, 56, 84, and 112 days at the study clinics. Adverse events were recorded and stool characteristics, reflux, fussiness, colic, and flatulence were self-reported by parents in 3-day diaries. Anthropometric measurements were transformed to WHO standardized age- and sex-adjusted z -scores. Analyses of covariance and linear mixed modeling were used to statistically analyze growth, while adjusting for potential confounders when studying the breast-fed group (n = 86).

RESULTS

Comparing the GMF to the CMF group, weight gain [mean difference 227.8 g (95% CI -16.6 to -439.0)] and z-scores for anthropometric measurements were similar after 112 days intervention. Infant formula groups showed greater mean (SD) weight z-scores than the BF group from 84 days onwards (GMF: 0.28 (0.84), CMF: 0.12 (0.88), BF -0.19 (1.02), P < 0.05), whereas length and head circumference z-scores were similar. Incidences of serious adverse events and reflux, fussiness, colic, and flatulence were similar among the three groups.

CONCLUSION

Our data demonstrate that GMF provides adequate growth, has a good tolerability, and is safe to use in infants.

Flexible Forearm Triboelectric Sensors for Parkinson's Disease Diagnosing and Monitoring

Existing approaches that assess and monitor the severity of Parkinson's Disease (PD) focus on the integration of wearable devices based on inertial sensors (accelerometers, gyroscopes) and electromyographic (EMG) transducers. Nevertheless, some of these sensors are bulky and lack comfortability. This manuscript presents triboelectric nanogenerators (TENGs) as an alternative stretchable sensor solution enabling PD monitoring systems. The prototype has been developed using a triboelectric sensor based on Ecoflex™ and PEDOT:PSS that is placed on the forearm. The movement of the skin above the forearm muscles and tendons correlates with the extension and flexion of fingers and hands. This way, the small gap of 0.5 cm between the polymer layers is displaced, generating voltage due to the triboelectric contact. Signals from preliminary experiments can discriminate different dynamics of emulated tremor and bradykinesia in hands and fingers. A modified version of the TS is integrated with a printed circuit board (PCB) in a single package with signal conditioning and wireless data transmission. The sensor platforms have demonstrated a good sensitivity to PD symptoms like bradykinesia and tremor based on the Unified Parkinson's Disease Rating Scale (MDS:UPDRS).

Wearable Triboelectric Sensors Enabled Gait Analysis and Waist Motion Capture for IoT-Based Smart Healthcare Applications

Gait and waist motions always contain massive personnel information and it is feasible to extract these data via wearable electronics for identification and healthcare based on the Internet of Things (IoT). There also remains a demand to develop a cost-effective human-machine interface to enhance the immersion during the long-term rehabilitation. Meanwhile, triboelectric nanogenerator (TENG) revealing its merits in both wearable electronics and IoT tends to be a possible solution. Herein, the authors present wearable TENG-based devices for gait analysis and waist motion capture to enhance the intelligence and performance of the lower-limb and waist rehabilitation. Four triboelectric sensors are equidistantly sewed onto a fabric belt to recognize the waist motion, enabling the real-time robotic manipulation and virtual game for immersion-enhanced waist training. The insole equipped with two TENG sensors is designed for walking status detection and a 98.4% identification accuracy for five different humans aiming at rehabilitation plan selection is achieved by leveraging machine learning technology to further analyze the signals. Through a lower-limb rehabilitation robot, the authors demonstrate that the sensory system performs well in user recognition, motion monitoring, as well as robot and gaming-aided training, showing its potential in IoT-based smart healthcare applications.

Artificial Intelligence-Enabled Caregiving Walking Stick Powered by Ultra-Low-Frequency Human Motion

The increasing population of the elderly and motion-impaired people brings a huge challenge to our social system. However, the walking stick as their essential tool has rarely been investigated into its potential capabilities beyond basic physical support, such as activity monitoring, tracing, and accident alert. Here, we report a walking stick powered by ultra-low-frequency human motion and equipped with deep-learning-enabled advanced sensing features to provide a healthcare-monitoring platform for motion-impaired users. A linear-to-rotary structure is designed to achieve highly efficient energy harvesting from the linear motion of a walking stick with ultralow frequency. Besides, two kinds of self-powered triboelectric sensors are proposed and integrated to extract the motion features of the walking stick. Augmented sensing functionalities with high accuracies have been enabled by deep-learning-based data analysis, including identity recognition, disability evaluation, and motion status distinguishing. Furthermore, a self-sustainable Internet of Things (IoT) system with global positioning system tracing and environmental temperature and humidity amenity sensing functions is obtained. Combined with the aforementioned functionalities, this walking stick is demonstrated in various usage scenarios as a caregiver for real-time well-being status and activity monitoring. The caregiving walking stick shows the potential of being an intelligent aid for motion-impaired users to help them live life with adequate autonomy and safety.

[Effect and mechanism of siRNA targeting α-enolase gene combined with paclitaxel on proliferation, invasion and apoptosis of hepatocellular carcinoma cell]

Objective: To investigate the effect of siRNA targeting inhibition of α-enolase (ENO1) combined with paclitaxel on the proliferation, invasion and apoptosis of hepatocellular carcinoma SK-HEP-1 cell and its mechanism. Methods: siRNA-ENO1 (siRNA-ENO1 group) and siRNA-negative control (siRNA-NC group) were transfected into SK-HEP-1 cells in vitro, the untransfected SK-HEP-1 cells were used as the control group, and the transfection effect was detected by real-time fluorescent quantitative polymerase chain reaction and western blotting. After SK-HEP-1 cells were treated with 0, 2.5, 5, 10, 20 and 40 μg/L paclitaxel for 48 hours, the cell survival rate was measured by 3-(4, 5-dimethyl-2-thiazolyl)-2, 5-diphenyl-2H tetrazolium bromide (MTT) method and the semi inhibitory concentration of paclitaxel was calculated. SK-HEP-1 cells transfected with siRNA-ENO1 or siRNA-NC were treated with 10 μg/L paclitaxel as paclitaxel+ siRNA-ENO1 group and paclitaxel+ siRNA-NC group. The proliferation, clonogenesis, invasion and apoptosis of siRNA-NC group, siRNA-ENO1 group, paclitaxel+ siRNA-ENO1 group and paclitaxel+ siRNA-NC group were detected by MTT, clonogenesis, Transwell chamber and flow cytometry respectively. The expression levels of the phosphorylation of phosphatidylinositol-3-kinase (p-PI3K), p-protein kinase B (Akt) and proliferating cell nuclear antigen (PCNA), matrix metalloproteinase 9 (MMP-9) and B lymphocytoma-2 gene (Bcl-2) were detected by western blotting. Results: Compared with the control group (1.00±0.00 and 0.69±0.04, respectively), the expression levels of ENO1 mRNA and protein (0.25±0.03 and 0.23±0.02, respectively) in siRNA-ENO1 group decreased significantly (P<0.05), but there were no significant differences in the expression levels of ENO1 mRNA and protein in siRNA-NC group (P>0.05). Compared without treatment group [(100.00±0.00)%, P<0.05], the survival rates of SK-HEP-1 cells treated with 2.5, 5, 10, 20 and 40 μg/L paclitaxel [(88.65±6.46)%, (72.36±6.08)%, (60.48±4.23)%, (38.52±3.56)% and (20.75±2.32)%, respectively] decreased significantly (P<0.05), and the semi inhibitory concentration of paclitaxel was 13.26 μg/L. The cell survival rate and clone formation rate of siRNA-ENO1 group [(68.86±5.12)% and (18.12±2.25)%, respectively] were lower than those of siRNA-NC group [(100.00±0.00)% and (29.65±3.06)%, respectively, P<0.05]. The cell survival rate and clone formation rate of the paclitaxel+ siRNA-ENO1 group [(43.28±2.64)% and (8.72±0.52)%, respectively] were significantly different from those of the paclitaxel+ siRNA-NC group [(61.75±5.06)% and (13.48±2.16)%, respectively, P<0.05] and siRNA-ENO1 groups [(68.86±5.12)% and (18.12±2.25)%, respectively, P<0.05]. Cell invasion number in paclitaxel+ siRNA-ENO1 group (23.64±2.12) was lower than that in siRNA-ENO1 group and paclitaxel+ siRNA-NC group (42.16±2.75 and 37.35±2.42, respectively, P<0.05). The apoptosis rates of paclitaxel+ siRNA-NC group and siRNA-ENO1 group [(17.49±1.35)% and (15.29±1.50)%, respectively] were higher than that of siRNA-NC group [(7.21±0.70)%, P<0.05]. The apoptosis rate in the paclitaxel+ siRNA-ENO1 group [(24.59±2.40)%] was higher than those in the paclitaxel+ siRNA-NC group and siRNA-ENO1 group [(17.49±1.35)% and (15.29±1.50)%, respectively, P<0.05]. The expression levels of ENO1, PI3K/Akt signaling pathway related proteins including p-PI3K and p-Akt and the expression levels of PCNA, MMP-9 and Bcl-2 in siRNA-ENO1 group and paclitaxel+ siRNA-NC group were lower than those in siRNA-NC group (P<0.05). The expression levels of ENO1, p-PI3K, p-Akt, PCNA, MMP-9 and Bcl-2 in paclitaxel+ siRNA-ENO1 group were lower than those in siRNA-ENO1 group or paclitaxel+ siRNA-NC group (P<0.05). Conclusion: siRNA targeting inhibition of ENO1 expression can enhance the inhibitory effect of paclitaxel on proliferation, invasion and apoptosis of SK-HEP-1 cells, and its mechanism may be related to the inhibition of PI3K/AKT signaling pathway.

[Application effects of failure mode and effect analysis on the limb posture positioning nursing of extremely severe burn patients]

Objective: To explore the application effects of risk assessment method of failure mode and effect analysis (FMEA) on the limb posture positioning nursing of extremely severe burn patients. Methods: A retrospective observational study was conducted. According to the different limb posture positioning methods, 30 extremely severe burn patients who met the inclusion criteria and underwent routine limb posture positioning in the First Affiliated Hospital of Air Force Medical University from January 2018 to June 2019 were included into routine limb positioning group (19 males and 11 females, aged (40±10) years), and 30 extremely severe burn patients who met the inclusion criteria and underwent limb posture positioning with FMEA risk assessment from July 2019 to December 2020 in the department were included into FMEA limb positioning group (20 males and 10 females, aged (38±10) years). Patients in routine limb positioning group received only routine limb posture positioning by rehabilitation therapists with bare hand every day from the time when their limb wounds healed until they were discharged from hospital. Patients in FMEA limb positioning group received FMEA risk assessment by physicians, rehabilitation therapists, and nurses within 24 hours after admission to analyze the potential failure modes of limb posture positioning, and target-directed limb posture positioning measures were adopted until they were discharged. The risk priority numbers (RPNs) of six major failure modes of patients in FMEA limb positioning group before and after intervention were compared. The range of motion (ROM) of shoulder abduction, elbow extension, wrist dorsiflexion, ankle plantarflexion, total action motion of hand, and modified Barthel index scores of the patients in two groups before and after intervention were also assessed. Data were statistically analyzed with independent sample t test, chi-square test, and paired sample t test. Results: The RPNs of 6 main potential failure modes of patients in FMEA limb positioning group i.e. untimely interference of limb posture positioning, not strong awareness of limb posture positioning of nurses, inconsistent of evaluation standards of limb posture positioning, nurses' lacking knowledge about limb posture positioning, nurses' lacking active participation, unsatisfying effects of patients' limb posture positioning were respectively (146±31), (140±22), (125±34), (136±23), (110±28), and (110±5) points after intervention, which were significantly lower than (578±64), (543±57), (419±89), (269±64), (240±41), and (222±48) points before intervention (t=18.441, 23.681, 10.035, 5.362, 9.438, 7.171, P<0.01). After intervention, the ROMs of shoulder abduction, elbow extension, wrist dorsiflexion, and ankle plantarflexion of patients in FMEA limb positioning group were significantly better than those in routine limb positioning group (t=-4.250, 11.400, -15.928, 10.963, -7.470, P<0.01); the ROMs of shoulder abduction, elbow extension, wrist dorsiflexion, and ankle plantarflexion of patients in FMEA limb positioning group and routine limb positioning group were significantly better than those before intervention (t=-35.573, 33.670, -31.090, 32.902, -19.647, -14.952, 11.411, -33.462, -12.818, -13.672, P<0.01). After intervention, the Barthel index score of patients in FMEA limb positioning group (78±9) was significantly higher than 57±9 in routine limb positioning group (t=-9.055, P<0.01), and the Barthel index scores of patients in FMEA limb positioning group and routine limb positioning group were significantly higher than those before intervention (35±5 and 34±4, t=-22.964, -12.329, P<0.01). Conclusions: In the limb posture positioning nursing of extremely severe burn patients, risk assessment method of FMEA can effectively avoid the high risk factors in the limb posture positioning of patients, thus maintain the effects of limb posture positioning and improve the ROM of patients, as well as increase the daily living ability of patients in prognosis.

A Motion Capturing and Energy Harvesting Hybridized Lower-Limb System for Rehabilitation and Sports Applications

Lower-limb motion monitoring is highly desired in various application scenarios ranging from rehabilitation to sports training. However, there still lacks a cost-effective, energy-saving, and computational complexity-reducing solution for this specific demand. Here, a motion capturing and energy harvesting hybridized lower-limb (MC-EH-HL) system with 3D printing is demonstrated. It enables low-frequency biomechanical energy harvesting with a sliding block-rail piezoelectric generator (S-PEG) and lower-limb motion sensing with a ratchet-based triboelectric nanogenerator (R-TENG). A unique S-PEG is proposed with particularly designed mechanical structures to convert lower-limb 3D motion into 1D linear sliding on the rail. On the one hand, high output power is achieved with the S-PEG working at a very low frequency, which realizes self-sustainable systems for wireless sensing under the Internet of Things framework. On the other hand, the R-TENG gives rise to digitalized triboelectric output, matching the rotation angles to the pulse numbers. Additional physical parameters can be estimated to enrich the sensory dimension. Accordingly, demonstrative rehabilitation, human-machine interfacing in virtual reality, and sports monitoring are presented. This developed hybridized system exhibits an economic and energy-efficient solution to support the need for lower-limb motion tracking in various scenarios, paving the way for self-sustainable multidimensional motion tracking systems in near future.

AI enabled sign language recognition and VR space bidirectional communication using triboelectric smart glove

Sign language recognition, especially the sentence recognition, is of great significance for lowering the communication barrier between the hearing/speech impaired and the non-signers. The general glove solutions, which are employed to detect motions of our dexterous hands, only achieve recognizing discrete single gestures (i.e., numbers, letters, or words) instead of sentences, far from satisfying the meet of the signers' daily communication. Here, we propose an artificial intelligence enabled sign language recognition and communication system comprising sensing gloves, deep learning block, and virtual reality interface. Non-segmentation and segmentation assisted deep learning model achieves the recognition of 50 words and 20 sentences. Significantly, the segmentation approach splits entire sentence signals into word units. Then the deep learning model recognizes all word elements and reversely reconstructs and recognizes sentences. Furthermore, new/never-seen sentences created by new-order word elements recombination can be recognized with an average correct rate of 86.67%. Finally, the sign language recognition results are projected into virtual space and translated into text and audio, allowing the remote and bidirectional communication between signers and non-signers.

Upregulation of long noncoding RNA FERRE promoted growth and invasion of breast cancer through modulating miR-19a-5p/EZH2 axis

OBJECTIVE

It has been demonstrated that long non-coding RNA (LncRNA) plays an important regulatory role in a series of diseases. The purpose of this study is to investigate the expression of long non-coding RNA (LncRNA) FERRE and its facilitating effects on proliferation and invasion of breast cancer by regulating oncogene EZH2 through sponging with miR-19a-5p.

PATIENTS AND METHODS

qRT-PCR was performed to detect the expressions of FERRE and EZH2 in human breast cancer tissues and cells. CCK-8 assay was performed to evaluate the MCF-7 cells proliferation and transwell assay was performed to evaluate the MCF-7 cells migration. Correlation analysis between FERRE and miR-19a-5p was detected by statistical analysis. Bioinformatics prediction was made to detect the binding site of FERRE and miR-19a-5p and Luciferase activity was conducted to investigate the interaction between EZH2 and miR-19a-5p. Furthermore, we cloned the mice EZH2 3'-UTR into the Luciferase reporter vector and constructed miR-19a-5p binding mutants to validate the inhibited modulation of miR-19a-5p to the EZH2 expression.

RESULTS

Results showed that expression of FERRE and EZH2 were upregulated in human breast cancer tissues and cells. qRT-PCR and CCK-8 assay showed that FERRE expression is associated with the proliferation of breast cancer cells, upregulated FERRE contributed to cell proliferation of MCF-7. Transwell assay showed that FERRE was associated with the migration ability of tumor cells, increased expression of FERRE promoted the migration and invasion of breast cancer cells. The bioinformatics prediction and Luciferase assay demonstrated that by sponging with miR-19a-5p, FERRE can serve as a molecular sponge to further regulate the expression of EZH2.

CONCLUSIONS

We found that lncRNA-FERRE was upregulated in human breast cancer patients, which could accelerate tumor proliferation, migration and invasion as a molecular sponge by modulating the inhibitory effect of miR-19a-5p on oncogene EZH2.

Effect of radiomics from different virtual monochromatic images in dual-energy spectral CT on the WHO/ISUP classification of clear cell renal cell carcinoma

AIM

To investigate the effect of radiomics obtained from different virtual monochromatic images (VMIs) in dual-energy spectral computed tomography (CT) on the World Health Organization/International Association for Urological Pathology (WHO/ISUP) classification of clear cell renal cell carcinoma (ccRCC).

MATERIALS AND METHODS

A retrospective study of 99 ccRCC patients who underwent contrast-enhanced dual-energy CT was undertaken. ccRCC was confirmed at surgery or biopsy and graded according to the WHO/ISUP pathological grading criteria as low grade (n=68, grade I and II) or high grade (n=31, grade III and IV). Radiomics risk scores (RRSs) for differentiating high and low grades of ccRCC were constructed from 11 sets of VMI in (40-140 keV, 10 keV interval) the cortical phase. Receiver operating characteristic (ROC) curves were drawn and the area under the curves (AUCs) was calculated to evaluate the discriminatory power of RRS for each VMI. The Hosmer-Lemeshow test was used to evaluate the goodness-of-fit of each model and the decision curve was used to analyse its net benefit to patients.

RESULTS

The AUC values for distinguishing low-from high-grade ccRCC with RRS of 40-140 keV VMIs were all >0.920. The Hosmer-Lemeshow test showed that the p-values of RRS of VMIs were >0.05, suggesting good fits. In the decision curve analysis, RRS from the 40-140 keV VMIs had similar decision curves and provided better net benefits than considering all patients either as high-grade or low-grade.

CONCLUSIONS

The RRS obtained from multiple VMIs in dual-energy spectral CT have high diagnostic efficiencies for distinguishing between low- and high-grade ccRCC with no significant differences between different VMIs.

Progress in micro/nano sensors and nanoenergy for future AIoT-based smart home applications

Self-sustainable sensing systems composed of micro/nano sensors and nano-energy harvesters contribute significantly to developing the internet of things (IoT) systems. As one of the most promising IoT applications, smart home relies on implementing wireless sensor networks with miniaturized and multi-functional sensors, and distributed, reliable, and sustainable power sources, namely energy harvesters with a variety of conversion mechanisms. To extend the capabilities of IoT in the smart home, a technology fusion of IoT and artificial intelligence (AI), called the artificial intelligence of things (AIoT), enables the detection, analysis, and decision-making functions with the aids of machine learning assisted algorithms to form a smart home based intelligent system. In this review, we introduce the conventional rigid microelectromechanical system (MEMS) based micro/nano sensors and energy harvesters, followed by presenting the advances in the wearable counterparts for better human interactions. We then discuss the viable integration approaches for micro/nano sensors and energy harvesters to form self-sustainable IoT systems. Whereafter, we emphasize the recent development of AIoT based systems and the corresponding applications enabled by the machine learning algorithms. Smart home based healthcare technology enabled by the integrated multi-functional sensing platform and bioelectronic medicine is also presented as an important future direction, as well as wearable photonics sensing system as a complement to the wearable electronics sensing system.

[Correlation analysis between serum ferritin level and liver damage in acute stage of dengue fever]

Objective: To investigate the correlation between serum ferritin (SF) level and liver damage in the acute stage of dengue fever. Methods: A retrospective study was conducted to analyze 171 cases diagnosed with dengue fever as dengue fever group and 130 healthy patients as control group in Hangzhou 3A grade hospital from July to December 2017. Clinical data, SF and liver function related indicators were collected from both groups: alanine aminotransferase (ALT), aspartate aminotransferase (AST), total bilirubin (TBIL) to analyze the correlation between liver damage and SF in patients with dengue fever. Results: ALT, AST, and SF levels were significantly higher in the dengue fever group than those in the healthy control group (Z = 11.553, 15.054 and 15.163, P < 0.001). SF levels were higher in the dengue fever combined with liver damage group than those without the liver damage group (z = 6.930, P < 0.001). However, there was no statistically significant differences in age, gender, peak body temperature, and history of liver disease (P > 0.05). In addition, Spearman's correlation analysis showed that SF was positively correlated with ALT, AST, and TBIL (r = 0.464, 0.531 and 0.315, P < 0.001). Among dengue patients with different SF levels, there were significant difference in ALT, AST levels and incidence of liver damage (H = 14.240 and 17.584, χ(2) = 49.547, P < 0.001). Patients with higher SF levels had higher ALT, AST levels and incidence of liver damage. Binary logistic regression analysis showed that hyperferritinemia (SF≥500 ng/ml) was the risk factor for dengue fever combined with liver damage (OR = 8.120, P < 0.001). Furthermore, ROC curve analysis showed that the AUC for SF to judge dengue fever combined liver damage was 0.846 (95% CI: 0.785-0.908), and the sensitivity and specificity when the SF cut-off value was 1 506 ng/ml were 74.8% and 83.3%. Conclusion: There is a certain correlation between the SF level and the degree of liver damage in acute stage of dengue fever patients, and hyperferritinemia is a risk factor for dengue fever combined with liver damage.

Genome sequencing of pancreatic cancer: differential expression by location

The results demonstrated that pancreatic ductal carcinoma (PDAC) of the body/tail was associated with more transcriptional and genomic changes, and correlated with worse prognosis, than PDAC of the pancreatic head. The different mutation types and gene expression of tumour locations provide deep insight into the carcinogenesis or metastasis of PDAC, and suggest different early diagnostic and therapeutic strategies. SNV, single-nucleotide variations; NLS, Nuclear localization sequence; MB, million base-pairs; UTR, untranslated region.

Analysis of physiological and metabolite response of Celosia argentea to copper stress

Copper-tolerant (Cu) plants with high ornamental value play an important role in the ecological restoration of the copper tail mining area. We first discovered Celosia argentea adaptability in a copper mine area in China; however, its resistance to Cu and the underlying mechanism are not clear. In this study, C. argentea was selected for pot culture experiments. Its heavy metal accumulation and translocation, physiological and metabolic products were analysed under different growth concentrations of Cu (0-2400 mg.kg^-1 ) stress. Our results indicated that roots strongly accumulated Cu²⁺ . Oxidative stress defence mechanisms were activated in leaves under Cu treatment. Higher Cu concentrations triggered higher electrolyte leakage (EL), Malondialdehyde (MDA), superoxide dismutase (SOD) and peroxidase (POD) activity, and consequently a higher capacity to scavenge oxygen radicals and maintain cellular membrane integrity. In the citrate cycle, some amino acids and sugars related to biological pathways were altered in C. argentea exposed to Cu stress. Metabolomics data revealed that C. argentea used elevated sugar content as an antioxidant to regulate reactive oxygen species (ROS). Some organic acids and amino acids were up-regulated compared with the control, indicating that these may chelate Cu in cells to remove excess Cu²⁺ . The up-regulation of polyamines and some organic acids may mitigate oxidative stress. These results indicate that C. argentea could be used as a Cu-tolerant plant in Cu mine restoration. Its Cu tolerance mechanism also provides a basis for future plant improvement or breeding for use in mine restoration.

The effects of psychological intervention on anxiety symptoms of COVID19-positive patients isolated in hospital wards

OBJECTIVE

The study aimed to explore the effects of psychological intervention on alleviating anxiety in patients in novel coronavirus (2019-nCoV) isolation wards.

PATIENTS AND METHODS

Between January 24th, 2020 and March 5th, 2020, 103 patients were studied. Among these, 32 were patients in the isolation ward of the Infectious Disease Department in Baoding Second Hospital with suspected 2019-nCoV, and 71 patients diagnosed with 2019-nCoV were in the Tangshan Infectious Disease Hospital. Of the 103 patients included, 97 cases were observed in isolation. Using a self-control study design, each patient's anxiety was scored on a self-rating anxiety scale before receiving the psychological intervention (on the 7th day of isolation) and after receiving the intervention (on the 14th day of isolation). The severity of anxiety was evaluated based on the anxiety score before receiving the intervention. The anxiety scores before and after receiving the intervention were then compared using the paired t-test, and p<0.05 was considered statistically significant.

RESULTS

After receiving the psychological intervention once or twice a week, the anxiety of the patients improved significantly after one week.

CONCLUSIONS

The anxiety of patients with 2019-nCoV in isolation wards can be alleviated through psychological intervention. By alleviating patient anxiety, this intervention also helps patients maintain their psychological wellbeing, which promotes rehabilitation and helps with the control of 2019-nCoV.

Flourishing energy harvesters for future body sensor network: from single to multiple energy sources

Body sensor network (bodyNET) offers possibilities for future disease diagnosis, preventive health care, rehabilitation, and treatment. However, the eventual realization demands reliable and sustainable power sources. The flourishing energy harvesters (EHs) have provided prominent techniques for practically addressing the concurrent energy issue. Targeting for a specific energy source, wearable EHs with a sole conversion mechanism are well investigated. Hybrid EHs integrating different effects for a single source or multi-sources are attaining growing attention, for they provide another degree of freedom concerning a higher-level energy utility. Merging EHs with other functional electronics, diversified functional self-sustainable systems are developed, paving the way for the accomplishment of bodyNET. This review introduces the evolution of wearable EHs from a single effect to hybridized mechanisms for multiple energy sources and wearable to implantable self-sustainable systems. Last, we provide our perspectives on the future development of hybrid EHs to be more competitive with conventional batteries.

Laser vibrational excitation of radicals to prevent crystallinity degradation caused by boron doping in diamond

Pursuing high-level doping without deteriorating crystallinity is prohibitively difficult but scientifically crucial to unleashing the hidden power of materials. This study demonstrates an effective route for maintaining lattice integrity during the combustion chemical vapor deposition of highly conductive boron-doped diamonds (BDDs) through laser vibrational excitation of a growth-critical radical, boron dihydride (BH₂). The improved diamond crystallinity is attributed to a laser-enabled, thermal nonequilibrium suppression of the relative abundance of boron hydrides (BH), whose excessive presence induces boron segregation and disturbs the crystallization. The BDDs show a boron concentration of 4.3 × 10²¹ cm^-3, a film resistivity of 28.1 milliohm·cm, and hole mobility of 55.6 cm² V^-1 s^-1, outperforming a commercial BDD. The highly conductive and crystalline BDDs exhibit enhanced efficiency in sensing glucose, confirming the advantages of laser excitation in producing high-performance BDD sensors. Regaining crystallinity with laser excitation in doping process could remove the long-standing bottlenecks in semiconductor industry.

An in-vitro study on a novel six-phage cocktail against multi-drug resistant-ESBL Shigella in aquatic environment

Shigella spp. are water-borne pathogens responsible for mild to severe cases bacilli dysentery all around the world known as Shigellosis. The progressively increasing of antibiotic resistance among Shigella calls for developing and establishing novel alternative therapeutic methods. The present study aimed to evaluate a novel phage cocktail of lytic phages against extended spectrum beta lactamase isolates of Shigella species in an aquatic environment. The phage cocktail containing six novel Shigella specific phages showed a broad host spectrum. The cocktail was very stable in aquatic environment. The cocktail resulted in about 99% decrease in the bacterial counts in the contaminated water by several species and strains of Shigella such as Shigella sonnei, Shigella flexneri and Shigella dysenteriae. Achieving such a high efficiency in this in-vitro study demonstrates a high potential for in-vivo and in-situ application of this phage cocktail as a bio-controlling agent against Shigella spp. contamination and infections.