Unveiling advanced strategies for therapeutic stem cell interventions in severe burn injuries: a comprehensive review.

This comprehensive review explores the complex terrain of stem cell therapies as a potential therapeutic frontier in the healing of complicated burn wounds. Serious tissue damage, impaired healing processes, and possible long-term consequences make burn wounds a complex problem. An in-depth review is required since, despite medical progress, existing methods for treating severe burn wounds have significant limitations. Burn wounds are difficult to heal because they cause extensive tissue damage. The challenges of burn injury-induced tissue regeneration and functional recovery are also the subject of this review. Although there is a lot of promise in current stem cell treatments, there are also some limitations with scalability, finding the best way to transport the cells, and finding consistent results across different types of patients. To shed light on how to improve stem cell interventions to heal severe burn wounds, this review covers various stem cell applications in burn wounds and examines these obstacles. To overcome these obstacles, one solution is to enhance methods of stem cell distribution, modify therapies according to the severity of the burn, and conduct more studies on how stem cell therapy affects individual patients. Novel solutions may also be possible through the combination of cutting-edge technologies like nanotechnology and biotechnology. This review seeks to increase stem cell interventions by analyzing present challenges and suggesting strategic improvements. The goal is to provide a more effective and tailored way to repair serious burn wounds.

A multiplex SNaPshot assay for the detection of single nucleotide polymorphism associated with clinical severity of enterovirus infections.

Non-polio enterovirus infections are known to cause a variety of diseases and neurological complications. It is also known that the severity of these diseases largely differs among individuals with different genotypes and alleles. The Single Nucleotide Polymorphisms (SNPs) within specific genes have a considerable effect on the immune response to enteroviruses and on the outcome of disease, leading to variations in complications and infection susceptibility. Knowing the distribution of such SNPs can be valuable for individual case management and studying epidemiological parameters of enterovirus infections. In this feasibility study, a multiplex version of the primer extension-based technique called the SNaPshot Assay has been developed to examine SNPs in various relevant genes for predicting the clinical severity of enterovirus infections. It is already established that this technique is precise, consistent, scalable, and likely to exhibit high throughput. The multiplex SNaPshot can investigate multiple genetic susceptibility markers simultaneously, and the assay can be used to identify vulnerable populations, understand the epidemiology of infections, and manage the outbreaks of enteroviruses. Based on the literature, 15 SNPs were identified which are suspected for higher susceptibility to the worst outcomes after enterovirus infection and the assay was developed. Blood samples of 100 healthy volunteers were collected and tested for assay feasibility as well as to know the proportions of 15 selected SNPs. After the analysis, seven SNPs have been identified and suggested to be considered for future assays. Based on the pilot test results, it appears that positivity for any three out of the identified seven SNPs might indicate a higher risk, and future studies correlated with clinical studies among patients with and without severe diseases utilizing this assay will provide robust parameters to determine at-risk individuals more accurately.

Identification of new stable resistant sources and assessing agro-morphological performance of sponge gourd germplasm against Tomato Leaf curl New Delhi Virus incidence.

Tomato leaf curl New Delhi virus (TolCNDV) causes yellow mosaic disease, which poses a significant biotic constraint for sponge gourd cultivation, potentially resulting in crop loss of up to 100%. In the present investigation, 50 diverse genotypes were screened for 3 years under natural epiphytotic conditions. A subset of 20 genotypes was further evaluated across four different environments. The combined analysis of variance revealed a significant genotype × environment interaction. Eight genotypes consistently exhibited high and stable resistance in the preliminary screening and multi-environment testing. Furthermore, genotype plus genotype × environment interaction biplot analysis identified DSG-29 (G-3), DSG-7 (G-2), DSG-6 (G-1), and DSGVRL-18 (G-6) as the desirable genotypes, which have stable resistance and better yield potential even under diseased conditions. The genotype by yield × trait biplot analysis and multi-trait genotype-ideotype distance index analysis further validated the potential of these genotypes for combining higher yield and other desirable traits with higher resistance levels. Additionally, resistant genotypes exhibited higher activities of defense-related enzymes as compared to susceptible genotypes. Thus, genotypes identified in our study will serve as a valuable genetic resource for carrying out future resistance breeding programs in sponge gourd against ToLCNDV.

MCN portfolio: An efficient portfolio prediction and selection model using multiserial cascaded network with hybrid meta-heuristic optimization algorithm.

Generally, financial investments are necessary for portfolio management. However, the prediction of a portfolio becomes complicated in several processing techniques which may cause certain issues while predicting the portfolio. Moreover, the error analysis needs to be validated with efficient performance measures. To solve the problems of portfolio optimization, a new portfolio prediction framework is developed. Initially, a dataset is collected from the standard database which is accumulated with various companies' portfolios. For forecasting the benefits of companies, a Multi-serial Cascaded Network (MCNet) is employed which constitutes of Autoencoder, 1D Convolutional Neural Network (1DCNN), and Recurrent Neural Network (RNN) is utilized. The prediction output for the different companies is stored using the developed MCNet model for further use. After predicting the benefits, the best company with the highest profit is selected by Integration of Artificial Rabbit and Hummingbird Algorithm (IARHA). The major contribution of our work is to increase the accuracy of prediction and to choose the optimal portfolio. The implementation is conducted in Python platform. The result analysis shows that the developed model achieves 0.89% and 0.56% regarding RMSE and MAE measures. Throughout the analysis, the experimentation of the developed model shows enriched performance.

Stakeholders' Perspectives on the "Helping Babies Breathe" Program Situation in Nepal Following the COVID-19 Pandemic.

BACKGROUND: The COVID-19 pandemic impacted healthcare systems, including resuscitation training programs such as Helping Babies Breathe (HBB). Nepal, a country with limited healthcare resources, faces challenges in delivering effective HBB training, managing deliveries, and providing neonatal care, particularly in remote areas. AIMS: This study assessed HBB skills and knowledge postpandemic through interviews with key stakeholders in Nepal. It aimed to identify strategies, adaptations, and innovations to address training gaps and scale-up HBB. METHODS: A qualitative approach was used, employing semistructured interviews about HBB program effectiveness, pandemic challenges, stakeholder engagement, and suggestions for improvement. RESULTS: The study encompassed interviews with 23 participants, including HBB trainers, birth attendants, officials, and providers. Thematic analysis employed a systematic approach by deducing themes from study aims and theory. Data underwent iterative coding and refinement to synthesize content yielding following 5 themes: (1) pandemic's impact on HBB training; (2) resource accessibility for training postpandemic; (3) reviving HBB training; (4) impacts on the neonatal workforce; and (5) elements influencing HBB training progress. CONCLUSION: Postpandemic, healthcare workers in Nepal encounter challenges accessing essential resources and delivering HBB training, especially in remote areas. Adequate budgeting and strong commitment from healthcare policy levels are essential to reduce neonatal mortality in the future.

Biomaterials-Based Strategies to Enhance Angiogenesis in Diabetic Wound Healing.

Amidst the present healthcare issues, diabetes is unique as an emerging class of affliction with chronicity in a majority of the population. To check and control its effects, there have been huge turnover and constant development of management strategies, and though a bigger part of the health care area is involved in achieving its control and the related issues such as the effect of diabetes on wound healing and care and many of the works have reached certain successful outcomes, still there is a huge lack in managing it, with maximum effect yet to be attained. Studying pathophysiology and involvement of various treatment options, such as tissue engineering, application of hydrogels, drug delivery methods, and enhancing angiogenesis, are at constantly developing stages either direct or indirect. In this review, we have gathered a wide field of information and different new therapeutic methods and targets for the scientific community, paving the way toward more settled ideas and research advances to cure diabetic wounds and manage their outcomes.

Correction: Anwer et al. Molecular and Morphological Characterization of Exserohilum turcicum (Passerini) Leonard and Suggs Causing Northern Corn Leaf Blight of Maize in Bihar. Bioengineering 2022, 9, 403.

In the original publication [...].

Current landscape of long COVID clinical trials.

Long COVID was reported as a multi-systemic condition after the infection of SARS-CoV-2, and more than 65 million people are suffering from this disease. It has been noted that around 10% of severe SARS-CoV-2 infected individuals are suffering from the enduring effects of long COVID. The symptoms of long COVID have also been noted in several mild or asymptomatic SARS-CoV-2 infected individuals. While limited reports on clinical trials investigating new therapeutics for long COVID exist, there is an abundance of scattered information available regarding these trials. This review explores the extensive literature search, and complete clinical trial database search to map the current status of long COVID clinical trials worldwide. The study listed about 110 long COVID clinical trials. In addition to conducting extensive long COVID clinical trials, we have comprehensively presented an overview of the condition, its symptoms, notable manifestations, associated clinical trials, the unique challenges it poses, and our recommendations for addressing long COVID.

Development, validation and clinical utility of short-term adverse-effects of electroconvulsive therapy (SAVE) checklist.

Electroconvulsive therapy (ECT) is one of the most effective treatments in psychiatry. However, it has many cognitive and non-cognitive adverse effects (AEs). There are lacunae in the literature on systematic assessment of non-cognitive AEs. There is a need for a standard, comprehensive and specific clinical tool to evaluate this. Hence, a checklist of short-term AEs of ECT (SAVE) with a 2-phase assessment was developed. Content validation was done using 15 experts' ratings and predefined content validity ratio and index (CVR and CVI) in a two-stage modified Delphi method. The checklist had a good CVR and CVI with a final tool of 39 items. The tool was sensitive and identified the non-cognitive AEs after ECT. Cardiovascular and musculoskeletal systems displayed the highest incidence. Many participants exhibited delayed recovery in orientation, gait, and stance, highlighting a necessity for meticulous monitoring. SAVE is the first standardised tool to assess short-term ECT-related AEs systematically. This checklist likely identifies clinically significant incidences of adverse effects. Its regular use may enhance the safety of ECT and patient comfort by supporting early identification and intervention for AEs. However, given the transient nature of AEs, further studies are needed to determine their predictive validity for long-term consequences.

Comparative analysis of heavy metal content of unregulated facial whitening creams and branded facial whitening creams.

The present study was conducted to evaluate potential health risks of Omani cosmetics considering the dangers and adverse effects on health caused by unregulated and unlabelled cosmetic products. Therefore, this current study is to examine the toxic heavy metals of unregulated facial whitening creams that are available in the Omani market and compare them with branded facial whitening creams. A total twenty-two samples were purchased from the Souqs/markets of all eleven governorates of Oman and their heavy metals content was determined by using Inductively Coupled Plasma-Optical Emission Spectroscopy (ICP-OES). The sample was digested by using ultra wave microwave at 180 °C. The percentage of heavy metals present in the unregulated whitening creams were compared with the heavy metals content of two randomly selected and branded whitening creams. The results showed that most of the unregulated samples contain significant amount of chromium, cooper and lead. In comparison, the branded face creams contained only the permissible amount of the heavy metals tested. The maximum arsenic content was found in a sample collected from Al Batinah South region (1.74 ppm). The maximum cadmium content was found in a sample collected from Al Wusta region (2.02 ppm). The maximum cobalt and chromium content were found in the samples collected from Al Buraimi region (0.10 ppm) and Dhofar region (8.04 ppm) respectively. In conclusion, unregulated face creams are not safe for human consumption because they contain significant levels of heavy metals that exceed the permissible limits.

Comparative Analysis of Strength of Differently Activated Denture Base Materials Including Recent Acetal Resin-Based Biodentaplast.

AIM AND OBJECTIVES: The aim of this study is to comparatively analyse the compressive and tensile strength of different types of record base materials made of different materials and processing techniques. MATERIALS AND METHODOLOGY: The compressive and tensile strength of 4 types of injection moulded materials were compared with a control of conventional compression moulded material. Twenty test specimens (10 tensile and 10 compressive) were fabricated from each material. A test was done using the Instron 3382 (Norwood, MA, USA) universal testing machine. RESULTS: Compressive and tensile test values showed significant differences between the record base resin groups tested for both compressive and tensile strength tests (p=0.00). The mean tensile strength value was greatest for Group V (66.0 MPa) and lowest for Group III (41.9MPa) and the mean compressive strength value was greatest for Group I (74.5 MPa) followed by Group V (70.2 MPa) and lowest for Group III (10.8 MPa). CONCLUSION: Injection moulded acetal resin showed the highest tensile strength value; it was comparable to that of conventional compression moulded polymethyl methacrylate (PMMA). Compression moulding is reported to have the highest compressive strength values followed by injection moulded acetal resin material. Injection moulded acetal resin material attributed to its advantages and superior strength value, can be used as a material of choice in various clinical scenarios.

Design, control, aerodynamic performances, and structural integrity investigations of compact ducted drone with co-axial propeller for high altitude surveillance.

Compact multi-rotor unmanned aerial vehicles (UAVs) can be operated in many challenging environmental conditions. In case the UAV requires certain considerations in designing like lightweight, efficient propulsion system and others depending upon the application, the hybrid UAV comes into play when the usual UAV types cannot be sufficient to meet the requirements. The propulsion system for the UAV was selected to be coaxial rotors because it has a high thrust-to-weight ratio and to increase the efficiency of the propulsion system, a unique propeller was proposed to achieve higher thrust. The proposed propeller was uniquely designed by analyzing various airfoil sections under different Reynolds's number using X-Foil tool to obtain the optimum airfoil section for the propellers. Since the design with duct increases efficiency, the Hybrid UAV presented in this paper has the modified novel convergent-divergent (C-D)-based duct which is a simplified model of a conventional C-D duct. The yawing and rolling maneuverings of the UAV could be achieved by the thrust vectoring method so that the design is simpler from a structural and mechanical perspective. The use of UAVs has risen in recent years, especially compact UAVs, which can be applied for applications like surveillance, detection and inspection, and monitoring in a narrow region of space. The design of the UAV is modeled in CATIA, and its further performance enactment factors are picked from advanced computational simulations relayed bottom-up approach. The predominant computational fluid dynamics (CFD) and fluid structure interaction (FSI) investigations are imposed and optimized through Computational Analyses using Ansys Workbench 17.2, which includes analysis of structural behaviour of various alloys, CFRP and GFRP based composite materials. From the structural analysis Titanium alloy came out to be the best performing materials among the others by having lower total deformation and other parameters such as normal and equivalent stress. The dynamics control response is obtained using MATLAB Simulink. The validations are carried out on the propeller using a thrust stand for CFD and on the duct through a high-jet facility for structural outcomes to meet the expected outcome.

Evaluation of the potential of extract of seaweed Eucheuma denticulatum as an alternative to antibiotic growth promoter in broiler chickens.

The seaweeds are in focus for their immunity and gut health-stimulating potentials in humans and farm animals, but their potential as a gut health-promoting agent and performance booster to replace antibiotic growth promoters (AGP) in broiler chicken-feed remains to be evaluated. In vivo feeding experiments were conducted on commercial broiler chickens (1-42 days post-hatch) to evaluate dried aqueous exact of red seaweed Eucheuma denticulatum (referred to as PBD 5). Each of the three test diets (basal diet with three dosing regimens of PBD5, 0.25 g kg -1 for 0-6 weeks, 0.25 g kg -1 for 0-4 weeks or 1.0 g kg -1 for 0-2 weeks), along with an AGP supplemented diet (Virginiamycin (V), 20 ppm in basal diet), and a control diet was fed to 13 pen replicates of five chicks in each. PBD5 at 1.0 g kg -1 diet for 0-2 weeks improved (P < 0.05) cumulative feed efficiency (4.65 % improvement at 28 d, and 3.74 % at 35 d) than the control and comparable to the V group and the trend in improvement persisted up to 42 d. The group fed with PBD5 @ 1.0 g kg -1 for 0-2 weeks had significantly (P < 0.05) higher serum IgG level, glutathione peroxidase levels, fat digestibility, and expression of occludin and avian beta-defensin 4 gene in the gut and a trend of increased expression of growth hormone receptor gene in the liver as compared to the control with no significant effect on body weight, phytohemagglutinin response or haemagglutination inhibition titer. At d 25 of age, fecal E. coli count was significantly (P < 0.01) lower in the seaweed extract groups and the V group as compared to the control. It can be concluded that dried aqueous extract of E. denticulatum at 1 g kg -1 diet for 0-2 weeks can be used as an alternative to antibiotic growth promoter in broiler chickens to improve feed efficiency and reduce gut pathogen load, and the improved performance was associated with increased expression of gut immunity and growth hormone receptor genes.

Comparative efficacy of repetitive transcranial magnetic stimulation protocols for obsessive-compulsive disorder: A network meta-analysis.

BACKGROUND: Repetitive transcranial magnetic stimulation (rTMS) has been found to be helpful for the treatment of obsessive-compulsive disorder (OCD). However, the relative efficacy of different rTMS protocols is unclear. OBJECTIVE: To conduct a systematic review and network meta-analysis (NMA) of published literature to compare the relative efficacy of different rTMS protocols for decreasing Yale-Brown Obsessive Compulsive Severity (Y-BOCS) scores in patients with OCD. METHOD: Relevant articles published between 1985 to September 2023 were searched from the Cochrane Central Register of Controlled Trials, PubMed and PsycInfo. Double or single-blinded randomized controlled studies conducted on patients with OCD comparing an active rTMS protocol with either another active or sham rTMS protocol were included. Network meta-analysis (NMA) was conducted using a frequentist approach. Standardized mean difference (SMD) of change in Y-BOCS scores was calculated employing Hedge's g. Pairwise meta-analysis using random effects model was conducted which was extended to the NMA using restricted maximum likelihood estimation procedure. Surface under the cumulative ranking (SUCRA) probabilities were used to rank the interventions. RESULTS: Excitatory rTMS of the bilateral dorsolateral prefrontal cortex (DLPFC), inhibitory rTMS of right DLPFC, inhibitory as well as excitatory rTMS of bilateral medial prefrontal cortex/anterior cingulate cortex (mPFC/ACC) and inhibitory rTMS of bilateral supplementary motor area (SMA) were superior to sham stimulation. The DLPFC and mPFC/ACC protocols had a higher probability of being among the top-ranked interventions. The majority of studies had a modest sample size and at least some concerns in the risk of bias assessment. CONCLUSION: rTMS targeting either the medial or lateral prefrontal cortices is a promising intervention for resistant OCD. There is a need to confirm these findings in large systematic studies.

Blood within the bone: orbital intraosseous venous malformation.

PURPOSE: Description of clinical features, radiological characteristics, and management strategies in primary orbital intraosseous venous malformation (OIVM) with pertinent literature review. METHODS: A retrospective analysis including clinical, radiologic, operative, and histopathological data of six cases of histopathologically proven OIVM was done. A comprehensive literature review was conducted using online databases and augmented with manual search to identify reported cases of OIVM. RESULTS: Study data showed five females and one male in young to middle-age group, with an average age of 30 years (range: 20-48 years). Proptosis was noted in five cases (83.33%), and the duration of symptoms ranged from 6 months to 10 years. Frontal and zygomatic bones were most frequently affected and expansile bony lesion was the most common CT scan finding. Three patients underwent pre-operative embolization of feeders followed by en bloc excision of mass and surgical reconstruction (50%); one patient was managed with partial excision (16.66%) while two were regularly followed-up after incision biopsy (33.33%). Histopathology revealed vascular spaces with endothelial lining, separated by bony trabeculae in all patients. Follow-up periods ranged from 6 to 48 months and no recurrence or progression were noted. CONCLUSIONS: OIVM is an exceptionally rare disorder with a gradually progressive benign course. Ophthalmologists need to be mindful of this entity during patient evaluation as it has propensity for large volume blood loss intra-operatively, owing to its vascular nature. Complete excision with reconstruction of resultant defect is the preferred treatment strategy and without known recurrence.

Evaluation of the Ecotoxicology of Seaweed-Based Biopesticide Used in Combat of the Polyphagous Pest Using Eudrilus eugeniae Kinb.

Fundamental techniques for determining the toxicity of pesticides to soil organisms are ecotoxicological laboratory assays. Due to their expanding potential and rise in use as a sustainable agricultural strategy toward the biological pest management, we quantified the effects of the compounds from the active fraction of the green seaweed Chaetomorpha antennina (Chlorophyceae), which is found in abundance in coastal areas of India that was used for the control of the polyphagous lepidopteran Spodoptera litura. Since the seaweed compounds were able to affect the morphology, physiology, and biochemical aspects of the pest, it is essential to perform an ecotoxicological assessment against the bioindicator organism Eudrilus eugeniae Kinb. This comprehensive assessment includes a morphological assay as well as the possible effects of the compounds on the earthworm's physiological and biochemical aspects such as acetylcholinesterase, catalase, and superoxide dismutase enzyme activities. The benignity of the compounds should also be confirmed by analyzing the gut histology of the earthworms treated with the compounds.

Long-term impact of the COVID-19 pandemic on obsessive-compulsive disorder.

There is limited data on the long-term effect of the COVID-19 pandemic on obsessive-compulsive disorder (OCD). We report on the course of a cohort of individuals with OCD followed-up over a period of one year during the first wave of the COVID-19 pandemic in India. A cohort of 240 individuals registered at a specialty OCD clinic was regularly followed-up using standardized rating tools at three months, six months, and one year into the onset of the COVID-19 pandemic in India. These were compared with clinical ratings recorded in a comparable historical cohort of 207 individuals with OCD, followed up during a non-pandemic year. The pandemic and non-pandemic (historical control) cohorts did not differ in illness severity and rate of relapse. It was found that COVID-19-related anxiety declined over time. Among those patients who were treatment responders prior to the pandemic, COVID-19-related anxiety and non-adherence to medication predicted a relapse of symptoms. Contrary to our expectations, the rate of relapse and illness trajectory in the pandemic cohort did not differ from the non-pandemic cohort, suggesting that the pandemic did not impact our largely medication-adherent cohort. Adherence to treatment seemed to have a protective effect during the pandemic.

Effect of patient and diagnostic intervals on the risk of advanced stage in Indian patients with seven types of gastrointestinal cancers: A retrospective cohort study.

OBJECTIVES: Advanced stage is linked to prolonged patient and diagnostic interval for gastrointestinal (GI) cancers. However, objective evidence of this fact is not so forthcoming. Our aim was to study the effect of these intervals on the risk of advanced stage for GI cancers. METHODS: We performed this retrospective cohort study to analyse the effect of patient and diagnostic intervals on final stage in seven types of GI cancers, during 2013 and 2022. Two groups of stage: early (TNM- 0, I, II) and advanced (TNM- III, IV), were formed. Outcome studied was interdependence between patient and diagnostic intervals and incidence of advanced stage. Binary logistic regression was applied to calculate odds ratio of having an advanced versus early stage as a function of duration of these delays, in the whole cohort. We used restricted cubic splines with five knots to study flexible and non-monotonic pattern of association between these delays and stage. RESULTS: In whole cohort of 1859 patients, median patient and diagnostic intervals of early and advanced cancers were 21 and 26 days and 120 and 45 days, respectively. There was a positive association between patient interval and advanced stage (odds ratio [OR], 1.04, confidence interval [CI], 1.035 to 1.045; P < 0.001) and negative association between diagnostic interval and advanced stage (odds ratio, 0.98, CI, 0.976 to 0.998; P-0.017), among all gastrointestinal cancers combined. Increased risk of advanced stage started from day one of patient interval and for diagnostic interval there was an initial decrease followed by subsequent increase in the risk of advanced stage beyond 26 days of diagnostic interval. CONCLUSIONS: Longer patient and diagnostic intervals increase the risk of advanced stage in gastrointestinal cancers.