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.

Malignant diseases are considered one of the problems of our time, and cancer is defined as the abnormal growth of malignant cells. It is widely accepted as the leading cause of death. There is currently no proven cancer cure. As a result, scientists have concentrated on creating secure and efficient therapies. Research has been done on the effects of naturally occurring substances that have been extracted from living things, such fungus on cancer cells. This study sought to determine the natural products' efficacy against human cancer cell line MCF-7. After A. terreus was isolated from samples of chicken droppings, it was grown on potato and Sabouraud Dextrose Agars (SDA and PDA) with chloramphenicol media. It was then identified using the extracted genomic DNA, the internal transcribed spacer (ITS) region was amplified and sequenced. After 30 days of incubation at 27°C, natural metabolite products were also recovered from the fermentation medium using the ethyl acetate extraction technique. The effectiveness of the fungal extract against the human cancer cell line MCF-7 and the normal human cell line NHF cell was also determined after incubation for 27 hours with the natural extract. The treated human cancer cell line MCF-7 showed decrease of proliferation, whereas the normal human cell line NHF showed no effect. Significant inhibitor compared to cancer line. The IC50 values for MCF-7 cell lines and NHF normal human cell lines were 7.672 and 1431 μg/mL, respectively. In summary, MCF-7 was affected by the natural extract extracted from A. terreus, in contrast to the control. When these results were combined, they showed that the fungal extract is an effective anti-cancer treatment.

Background: Accurate knowledge of cervical vertebral morphometry is crucial for diagnosing pathological conditions and planning surgical interventions. However, data specific to the Bangladeshi population is lacking. Objectives: To determine the morphometric measurements of typical cervical vertebrae (C3-C6) on Magnetic Resonance Imaging (MRI) in adult Bangladeshi people and to analyze potential sex-based differences. Methods: This cross-sectional analytical study was conducted on 70 MRI scans (35 male, 35 female) of typical cervical vertebrae from adult Bangladeshi individuals. Various morphometric parameters were measured using 'Radiant DICOM Viewer' software. Statistical analysis was performed using SPSS version 22.0. Results: The sagittal diameter of the vertebral body was significantly larger in males compared to females for all measured vertebrae (p<0.001). No significant differences were found between sexes in the height and transverse length of the vertebral body, anteroposterior and transverse lengths of the vertebral foramen, dimensions of foramen transversarium, superior articular facets, lamina, pedicle, and spinous process length (p>0.05 for all). Conclusion: This study provides baseline morphometric data for typical cervical vertebrae in adult Bangladeshi individuals. The observed sexual dimorphism in sagittal vertebral body diameter and the lack of significant differences in other parameters contribute to our understanding of population-specific cervical spine anatomy. These findings may have implications for optimizing surgical techniques and implant designs for the Bangladeshi population.