Background: Psoriasis, a chronic inflammatory skin disorder, poses substantial challenges to affected individuals, with plaque psoriasis being the most prevalent form. Despite advancements in treatment, including biologic drugs and oral small molecules, there remains a need for effective, accessible, and safe therapies for moderate-to-severe psoriasis. Deucravacitinib, a novel oral small molecule targeting Tyrosine Kinase 2 (TYK2), emerges as a promising option in psoriasis management. Objective: This study aims to evaluate the efficacy and safety of deucravacitinib in the treatment of psoriasis. Method: A comprehensive literature search was conducted across multiple databases, including PubMed, clinicaltrials.gov, Cochrane Skin, and Embase, up to February 16, 2023. Manuscripts were selected and analyzed following PRISMA guidelines. Relevant keywords such as "psoriasis," "oral small molecules," "deucravacitinib," "efficacy," and "safety" were used. Various types of manuscripts, including reviews, meta-analyses, clinical trials, and real-life experiences, were considered. Abstracts and full texts of selected articles were reviewed, and references were cross-checked. Results: A total of four completed trials and six ongoing studies were included in the review. Completed studies demonstrated the efficacy of deucravacitinib, with significant improvements in Psoriasis Area and Severity Index (PASI) scores compared to placebo and apremilast. Notably, deucravacitinib showed superiority in achieving PASI 75, 90, and 100 responses. Safety profiles were generally favorable, with common adverse events including nasopharyngitis, headache, diarrhea, and nausea. Conclusion: Deucravacitinib emerges as an innovative and valuable option for psoriasis management, offering promising efficacy and safety outcomes in clinical trials. While further research is warranted to validate its efficacy and compare it with existing therapies, deucravacitinib holds potential as a significant addition to the psoriasis treatment armamentarium.

Diabetes, a chronic metabolic disorder characterised by hyperglycaemia has become a major global health concern, with an increasing prevalence worldwide (Mukhtar, Galalain & Yunusa, 2020). Despite the availability of various anti-diabetic drugs, the search for natural remedies to manage diabetes has gained significant attention. Mangifera indica extracts have been studied for their anti-oxidant, anti-diabetic, lipid-lowering and anti-obesity potentials (Kumar et al., 2021). This study was designed to investigate the therapeutic effects of Mangifera indica methanol extract against Diabetes Mellitus, using in silico methods, Molecular docking simulations were performed to assess the binding affinities and interactions of the identified compounds from the Gas Chromatography/Mass Spectometry analysis result with key enzymes, proteins and hormones involved in glucose metabolism, such as alpha-amylase, insulin receptors, Glucose Transporter type 4 and Glucagon-like peptide 1. 6-methyl-2-(3-nitrophenyl) imidazo[1,2-a] pyridine had the highest binding affinity with Insulin receptors(-7.6kcal/mol), alpha amylase(-8.0kcal/mol) and Glucose transporter type 4(-8.5kcal/mol). Oxime-, methoxy-phenyl had the highest binding affinity with Glucagon-like peptide 1(-6.5kcal/mol). These findings suggest that mango leaves could serve as a source of natural anti-diabetic agent, which could lead to the development of new and effective treatments for diabetes. Further in vitro and in vivo studies are warranted to validate the bioactivity of these compounds and their mechanisms of action. Overall, this project contributes to the growing body of evidence supporting the use of in silico approaches for the discovery of novel antidiabetic agents from natural products.

India has a rich diversity of languages, with over 1,600 languages spoken across the nation. Sanskrit, an ancient, classical sacerdotal language of India, has a rich morphosyntactic influence on Bhadarwahi. This study aims to analyze the key linguistic similarities and differences between Bhadarwahi and Sanskrit, elaborating on vocabulary, origin, and word order while also emphasizing the potential contributions of Sanskrit to Bhadarwahi. The paper uses a comparative analysis method, and investigates word order, revealing how Bhadarwahi and Sanskrit use the same word order structures such as subject-object-verb (SOV). This study expands our understanding of linguistic diversity, as languages continually shape and are shaped by one another.

Background: Acute watery diarrhea (AWD), which has a sudden onset and is associated with a risk of severe dehydration, is primarily spread through unsafe water, poor sanitation, and inadequate hygiene. Socioeconomic factors, like low parental education and poverty, further increase risks. WHO-recommended interventions, including oral rehydration therapy, zinc supplementation, and rotavirus vaccinations, have reduced diarrhea-related deaths globally. Aim of the study: This study aims to explore the socio-demographic, environmental, and behavioral factors associated with childhood watery diarrhea, particularly in high-risk regions. Methods: This prospective observational study was conducted at the Department of Pediatric, 250 Bedded General Hospital, Khulna, Bangladesh, with 210 children aged 0–60 months presenting acute watery diarrhea, enrolled over one year July 2023 to June 2024. Eligible children met specific inclusion criteria, while exclusion was applied to cases of chronic diarrhea or unrelated pre-existing conditions. Data confidentiality was maintained, with ethical approval granted. The analysis involved descriptive statistics in SPSS (version 26) for comprehensive result interpretation. Result: The study included 210 children under five, with a mean age of 14.51±5.34 months; most were aged 7-12 months (38.10%), and 54.29% were male. Caregivers were predominantly aged 28.39±4.11 years, with 73.81% having completed primary education. Key findings included high MMR vaccination rates (62.38%), significant exclusive breastfeeding for six months (58.57%), and recent diarrhea reports among 20.95% of caregivers. In terms of WASH practices, 60.48% used piped water, 57.62% stored drinking water separately, and 95.71% had toilet facilities. Notably, 67.14% used water only for handwashing, and 45.24% washed hands with soap post-toilet use. Conclusion: Safe water, sanitation, and handwashing practices are essential to reducing acute watery diarrhea in children under five. Children in households with untreated water and inconsistent caregiver handwashing face higher risks. Targeted public health initiatives to improve water treatment and hygiene could greatly reduce diarrhea incidence and improve child health outcomes.

Diplopia is a frequent symptom in ophthalmology and has many causes. It may be binocular or monocular, the latter reflecting ocular damage. The study of the interaction between diplopia and the workstation is often neglected in therapeutic management; however, diplopia at work can have consequences for the health and safety of the worker concerned and therefore for clinical and socio-professional prognosis. We report a case of monocular diplopia due caused by a nuclear cataract in a radiologist. The purpose is to illustrate and explain the interaction between diplopia and work and the repercussions on fitness for work. This case underscores the need for effective, multidisciplinary medical and occupational strategies to manage diplopia in the workplace.

Background: Abortion remains a critical public health issue, particularly in low-resource settings like Bangladesh, where access to safe abortion services is often restricted. This study aimed to analyze the types of abortions, treatment methods, and post-abortion complications in a tertiary hospital in Bangladesh. Methods: A cross-sectional study was conducted from January to December 2017, including 100 cases of abortion at a 250-bed district hospital in Joypurhat, Bangladesh. Data were collected from patient records, focusing on demographic characteristics, type and nature of abortion, treatment methods, and complications. Descriptive statistics were used for analysis. Results: The majority of patients (42%) were aged 26–30 years, and 58% were primigravida. Most abortions (75%) occurred before 13 weeks of gestation, with incomplete abortions accounting for 86% of cases. Spontaneous abortions constituted 86%, and D&C was the primary treatment method in 83% of cases. Post-abortion complications were infrequent, with incomplete D&C (8%), shock (6%), and septicemia (3%) being the most common. Conclusion: Incomplete abortions and spontaneous abortions are the most common types observed, with D&C being the predominant treatment method. Although complications were low, the findings underscore the need for better access to safe abortion methods, including medical abortion, and the reduction of unsafe practices through improved healthcare education and policy reform.

The vegetation cover of forest ecosystems in sub-Saharan Africa is currently deteriorating. Species that provide non-wood forest products such as Vitellaria paradoxa, Parkia biglobosa and Adansonia digitata are not spared. The aim of this study is to contribute to the valorization and conservation of these species. To achieve this, a forest inventory of the main species was conducted in the Kuinima classified forest. A systematic inventory was carried out using circular plots with a radius of 20 cm. The data obtained was complemented by a structural study of these formations, based on the circumference measured at 1m 30 from the ground. ANOVA analysis of variance revealed a significant difference between densities. The results show that Vitellaria paradoxa has the highest average density (47.714±65.165 individuals/ha), followed by Parkia biglobosa (5.626±2.29 individuals/ha). In terms of health condition, Vitellaria paradoxa is the most attacked by Loranthaceae (41.93%). Regarding the stand structure, all three species show an abundance of juvenile trees (c ≤20 cm). Moreover, with the low mortality rates observed, the dynamics is evolutionary for all three species. In order to preserve the wood potential of this forest, capacity building, technical and awareness-raising actions could be undertaken. These results constitute data that should be taken into account in programs for the conservation of NWFP species in general, and for the control of Loranthaceae that parasitize Vitellaria paradoxa in particular.

By examining the test for admitting electronic records in trials, this research critically examines the procedural and legal nuances unique to digital records. The study investigates ambiguities in authority, privacy concerns, and procedural conflicts. It seeks to propose recommendations for improving the handling of electronic records in criminal trials, aiming to ensure that justice is served without compromising individual rights. This analysis provides a comprehensive approach to navigating the complexities of digital evidence while maintaining the integrity of the judicial process and upholding fundamental human rights.

The practical application of international conventions like the Montreal Convention of 1999 and the OHADA Uniform Act of 2023 in the context of attaching goods onboard aircraft presents significant challenges. These frameworks do not explicitly address the attachment of such goods, focusing instead on liability and recovery procedures. The OHADA Uniform Act aims to simplify recovery processes but may struggle with conflicting national regulations and regional legal practices. The absence of specific legislation for attaching goods in-flight creates a critical gap, leading to uncertainty and inefficiency in enforcement. Addressing this gap in this paper requires developing targeted legal solutions that align with international standards while addressing the unique demand of air transport.

Background: Clinicians confront heparin-induced thrombocytopenia (HIT) as the most pertinent pathological relationship. Antibodies directed against complexes of heparin molecules and platelet factor 4 (PF4) are the cause of this immune-mediated phenomena. HIT is a significant adverse event that affects individuals with acute coronary syndromes (ACS). Objective: To assess the frequency of HIT in patients presenting with ACS. Materials and Methods: This study was carried out the Northeast Medical College's Department of Cardiology in Sylhet from June 2021 to December 2022. A total of 234 individuals aged 40 to 70 years old presented with ACS within 24 hours of symptom onset. This study excluded patients with idiopathic thrombocytopenic purpura (ITP), aplastic anemia, myeloproliferative diseases, or pre-existing thrombocytopenia. Thrombocytopenia was evaluated using medical records and a full blood count (CBC), with isolated thrombocytopenia (platelets <150 x109/L) prior to heparin administration. Results: Diabetes mellitus, hypertension, a history of ACS, and obesity were the most frequent comorbidities, accounting for 41.03%, 33.76%, 43.16%, and 14.96%, respectively. The incidence of HIT in NSTEMI and STEMI was higher than in unstable angina, although still comparable. The delayed presentation of ACS > 12 hours was also strongly correlated with the occurrence of HIT (p<0.05). Unstable angina and middle age (50–60 years) were found to have a significant relationship with HIT (p<0.05). Conclusion: HIT is more common in patients who have had a myocardial infarction or who have had symptoms for more than 12 hours at the time of hospitalization. Cardiologists and internal medicine experts must take extra precautions when administering heparin to high-risk patients to prevent problems.

The main objective of this study was to look for the electromagnetic interference produced by medical devices in hospitals and to evaluate its impacts on the proper functions of such devices. However, the present study encountered other important problems with regard to CT scanner and X-ray Imaging systems. Such problems demand fast responses in order to secure health safety for the patients and the operators of such systems.

Metabolic syndrome (MetS) is defined by a set of components including hyperglycemia, dyslipidemia, hypertension, and central obesity. Despite the well-established association between MetS and chronic kidney disease (CKD) whose prevalence is on the increase, significant gap remains in our understanding of the relationship between kidney dysfunction and individual components of MetS, particularly in Nigeria. The objectives were to determine the prevalence of kidney dysfunction among adults with MetS and to examine the relationship of key components of MetS with kidney dysfunction using a cross-sectional study of randomly selected hospital outpatients with MetS. Kidney function was assessed using estimated glomerular filtration rate (eGFR). Descriptive and inferential statistical analyses were performed and statistical significance was set at p < .05. The mean age of the 75 study participants with MetS was 53.33 ± 13.94 years. Females constituted 65.3% and males, 34.7%. The prevalence of kidney dysfunction (eGFR < 60 mL/min/1.73 m²) was 36.0%, with no significant difference between genders. The key components of MetS that significantly correlated with kidney function were blood pressure, serum high density lipoprotein-cholesterol, and triglyceride. The same components independently predicted kidney function. To conclude, the study highlights the considerable burden of kidney dysfunction among adults with metabolic syndrome in Nigeria. Hypertension and dyslipidemia were the components of metabolic syndrome significantly associated with kidney dysfunction. Screening, early detection and targeted interventions including lifestyle modification and appropriate drug management are crucial to mitigate the impact of metabolic syndrome on kidney health, to improve health outcomes and to reduce CKD burden.

Identifying the psychological instability in mental health assessment through the application of ML techniques, using the principally the RFA (Random Forest Algorithm). This research investigates the application of machine learning techniques to detect psychological instability in individuals. By employing a variety of algorithms, including both supervised and unsupervised learning methods, this study aims to predict psychological states based on diverse data inputs such as behavioural patterns, physiological signals, and social interactions. The models are developed and validated using datasets from clinical studies, social media activity, and wearable health devices. The results illustrate the capability of ML to provide accurate and timely predictions of psychological instability, offering valuable insights for early diagnosis and intervention in mental health care. This study advances the field by demonstrating a data-driven approach to understanding and managing psychological health.

Introduction: Haemorrhages in the third trimester of pregnancy are nowadays a frequent situation that can jeopardize the maternal-fetal prognosis. Given its scale and degree of seriousness, this work was initiated to assess the contribution of ultrasound in its management. Material and Methods: This was a descriptive cross-sectional study with retrospective data collection which took place at the Kalabancoro Reference Health Center from May 1, 2022 to October 31, 2022. Its objective was to study the contribution of ultrasound in the management of haemorrhage in the third trimester of pregnancy. Results: During the study, 154 cases of haemorrhage in the third part of pregnancy out of 2,546 pregnancies were recorded, representing a frequency of 3.4%. The average age of the patients was 27 ± 3.5 years with extremes of 16 and 38 years. Married women were the most represented with 84.4%. Out-of-school women were the most represented, accounting for 63.6% of cases. Multiparous women were the most represented with 39.6% cases. Arterial hypertension was the most common medical history, i.e. 66.6%. Bleeding during pregnancy was the most frequent reason for consultation with 87.6%. Retroplacental hematoma was the predominant etiology, i.e. 67.5%. In utero fetal death was found in 54.5% of cases. Conclusion: The contribution of ultrasound was very important in the therapeutic decision-making. Emergency caesarean section was performed in 66.7% of cases.

Introduction: The use of artificial intelligence (AI) in medical settings has shown promise in various domains including diagnostics, treatment recommendation, and patient management. Recent advances have explored the potential of AI in pre-surgical assessments, but its application in transplant psychology remains unexplored. The objective of this study is to assess the effectiveness of AI in the context of screening potential liver transplant donors and recipients. To assess the feasibility of using ChatGPT-4 to screen potential liver transplant donors and recipients. Methods: This study utilizes a cross-sectional research design to evaluate the feasibility of using ChatGPT-4 in the preliminary screening of living liver donors and liver transplant candidates. The study aims to determine the accuracy and reliability of ChatGPT-4 in assessing hypothetical scenarios involving potential donors and recipients. Results: The analysis showed no found no significant differences between ChatGPT-4 and the expert panel in assessing liver transplant candidates, demonstrating an overall accuracy of 83.58%, sensitivity of 56.10%, and specificity of 80.49%. Additionally, the Cohen’s Kappa statistic of 0.68 (95% CI: 0.52-0.83) indicated substantial agreement between ChatGPT-4 and the psychologists’ evaluations. The absence of false positives (0%) and a low false negative rate (8%) emphasize ChatGPT-4's cautious and accurate decision-making capabilities. Conclusion: The findings of this study demonstrate that ChatGPT-4 has the potential to serve as an effective screening tool for liver transplant candidates, complementing the work of human experts and enhancing the overall efficiency of the transplant process. While challenges remain, the integration of AI into the liver transplantation workflow could lead to significant improvements in candidate evaluation and patient outcomes, paving the way for the broader application of AI in clinical practice.