Impact of blanching pretreatment on physicochemical properties, and drying characteristics of cabbage (Brassica oleracea)

Cabbage (Brassica oleracea) is popular winter vegetables cultivated all over Bangladesh and contains essential nutrients. This study aimed to evaluate the efficacy of pre-blanching on the preservation of cabbage by drying. In this research work, cabbage was blanched at 80°C, 90°C, and 100°C temperature for 12, 8, and 2 mins, respectively. Then the samples were dried at 60°C maintaining 60% relative humidity. The moisture and ash content of untreated and treated dried samples was in the range of 16.07±0.04 to 10.80±0.01% and 5.71±0.06 to 3.81±0.02%, respectively. The total phenolic content in cabbage was 74.47±0.63 mg GAE/100g at 100°C blanching temperature for a short time of 2 mins, which was higher compared to 61.91±0.48 mg GAE/100g at 80°C for 12 mins. It was observed that the antioxidant activity and two water-soluble vitamins-ascorbic acid and beta carotene decreased in pre-blanched dried samples in contrast with fresh ones. Blanching at higher water temperature and a short period was found useful for the retention of total phenolic content and greenness of cabbage. Blanching pre-treatments were also found to have better color retention capacity than untreated dried cabbage. A proper combination of drying time and temperature, along with the incorporation of blanching pretreatment, might be useful to preserve cabbage for a long time.

Development of a core outcome set for cutaneous squamous cell carcinoma trials: identification of core domains and outcomes

BACKGROUND

The lack of uniformity in the outcomes reported in clinical studies of the treatment of cutaneous squamous cell carcinoma (cSCC) complicates efforts to compare treatment effectiveness across trials.

OBJECTIVES

To develop a core outcome set (COS), a minimum set of agreed-upon outcomes to be measured in all clinical trials of a given disease or outcome, for the treatment of cSCC.

METHODS

One hundred and nine outcomes were identified via a systematic literature review and interviews with 28 stakeholders. After consolidation of this long list, 55 candidate outcomes were rated by 19 physician and 10 patient stakeholders, in two rounds of Delphi exercises. Outcomes scored 'critically important' (score of 7, 8 or 9) by ≥ 70% of patients and ≥ 70% of physicians were provisionally included. At the consensus meeting, after discussion and voting of 44 international experts and patients, the provisional list was reduced to a final core set, for which consensus was achieved among all meeting participants.

RESULTS

A core set of seven outcomes was finalized at the consensus meeting: (i) serious or persistent adverse events, (ii) patient-reported quality of life, (iii) complete response, (iv) partial response, (v) recurrence-free survival, (vi) progression-free survival and (vii) disease-specific survival.

CONCLUSIONS

In order to increase the comparability of results across trials and to reduce selective reporting bias, cSCC researchers should consider reporting these core outcomes. Further work needs to be performed to identify the measures that should be reported for each of these outcomes.

Survey on Deep Neural Networks in Speech and Vision Systems

This survey presents a review of state-of-the-art deep neural network architectures, algorithms, and systems in vision and speech applications. Recent advances in deep artificial neural network algorithms and architectures have spurred rapid innovation and development of intelligent vision and speech systems. With availability of vast amounts of sensor data and cloud computing for processing and training of deep neural networks, and with increased sophistication in mobile and embedded technology, the next-generation intelligent systems are poised to revolutionize personal and commercial computing. This survey begins by providing background and evolution of some of the most successful deep learning models for intelligent vision and speech systems to date. An overview of large-scale industrial research and development efforts is provided to emphasize future trends and prospects of intelligent vision and speech systems. Robust and efficient intelligent systems demand low-latency and high fidelity in resource-constrained hardware platforms such as mobile devices, robots, and automobiles. Therefore, this survey also provides a summary of key challenges and recent successes in running deep neural networks on hardware-restricted platforms, i.e. within limited memory, battery life, and processing capabilities. Finally, emerging applications of vision and speech across disciplines such as affective computing, intelligent transportation, and precision medicine are discussed. To our knowledge, this paper provides one of the most comprehensive surveys on the latest developments in intelligent vision and speech applications from the perspectives of both software and hardware systems. Many of these emerging technologies using deep neural networks show tremendous promise to revolutionize research and development for future vision and speech systems.

Molecular Detection of Human Brucellosis among Patients with Pyrexia of Unknown Origin

This study describes the molecular detection of human brucellosis among patients with pyrexia of unknown origin. It was a cross-sectional descriptive study and was carried out in the Department of Microbiology, Mymensingh Medical College, Mymensingh, Bangladesh. Non-probability purposive type of sampling technique was used. Blood samples were collected from 400 pyretic patients from September 2018 to August 2019. BCSP31 Brucella genus-specific TaqMan real-time PCR and SYBR Green real-time PCR were undertaken for molecular detection. Out of 400 samples, 22 (5.5%) samples found BCSP31 Brucella genus-specific real-time PCR positive. The study revealed that a considerable number of brucellosis is present in rural areas among risk as well as non-risk group study population having definite male predominancy, most prone to develop among >40-80 years age group. Brucella genus and species-specific real-time PCR might be performed for confirmation and also to avoid unjustified costs, drug toxicity, and un-masking of other potentially dangerous diseases.

Co-circulation of dengue virus type 3-genotype I and type 2-Cosmopolitan genotype in 2018 outbreak in Dhaka, Bangladesh

Dengue virus (DENV) that caused an outbreak in Dhaka, Bangladesh during 2018 was analysed phylogenetically. DENV samples were classified into type 2-Cosmopolitan genotype (54%) and type 3-genotype I (46%), indicating co-circulation of two DENV types and resurgence of type 3 associated with genotype replacement.

An osteopontin-derived peptide inhibits human hair growth at least in part by decreasing fibroblast growth factor-7 production in outer root sheath keratinocytes

BACKGROUND

Given that unwanted hair growth (hirsutism, hypertrichosis) can cause major psychological distress, new pharmacological treatment strategies with safe and effective hair growth inhibitors that do not destroy the hair follicle (HF) and its stem cells need to be developed.

OBJECTIVES

To establish if osteopontin-derived fragments may modulate human hair growth given that human HFs express the multifunctional, immunomodulatory glycoprotein, osteopontin.

METHODS

Our hypothesis was tested ex vivo and in vivo by using a newly generated, toxicologically well-characterized, modified osteopontin-derived peptide (FOL-005), which binds to the HF.

RESULTS

In organ-cultured human HFs and scalp skin, and in human scalp skin xenotransplants onto SCID mice, FOL-005 treatment (60 nmol L^-1 to 3 μmol L^-1 ) significantly promoted premature catagen development without reducing the number of keratin 15-positive HF stem cells or showing signs of drug toxicity. Genome-wide DNA microarray, quantitative reverse-transcriptase polymerase chain reaction and immunohistochemistry revealed decreased expression of the hair growth promoter, fibroblast growth factor-7 (FGF7) by FOL-005, while cotreatment of HFs with recombinant FGF7 partially abrogated FOL-005-induced catagen promotion.

CONCLUSIONS

With caveats in mind, our study identifies this osteopontin-derived peptide as an effective, novel inhibitory principle for human hair growth ex vivo and in vivo, which deserves systematic clinical testing in hirsutism and hypertrichosis. What's already known about this topic? The treatment of unwanted hair growth (hypertrichosis, hirsutism) lacks pharmacological intervention, with only few and often unsatisfactory treatments available. Osteopontin is prominently expressed in human HFs and has been reported to be elevated during catagen in the murine hair cycle. What does this study add? We tested the effects on hair growth of a novel, osteopontin-derived fragment (FOL-005) ex vivo and in vivo. In human hair follicles, high-dose FOL-005 significantly reduces hair growth both ex vivo and in vivo. What is the translational message? High-dose FOL-005 may provide a new therapeutic opportunity as a treatment for unwanted hair growth.