The impacts of alien species on river bioassessment.

The extent of alien taxa impacts on river ecosystem health is unclear, but their frequency continues to rise. We investigated 1) the prevalence of including alien taxa in common bioindicators used in river bioassessment, 2) the effect of alien taxa on the richness and abundance of natives, and 3) whether including alien taxa in bioassessment tools increased their sensitivity to river degradation. In the 17 countries analyzed fish represented the greatest number of alien species (1726), followed by macrophytes (925), macroinvertebrates (556), and diatoms (7).

Tracking the Ghosts of the Himalayas: Snow Leopard Conservation Insights From Satellite Collar Data.

This study presents the first movement analysis of snow leopards () using satellite telemetry data, focusing on the northeastern Himalayas of Nepal. By examining GPS-based satellite collar data between 2013 and 2017 from five collared snow leopards (effectively three individuals), the research uncovered distinct movement patterns, activity budgeting and home range utilisation from one adult male and two sub adult females. Hidden Markov models (HMMs) revealed three behavioural states based on the movement patterns-slow (indicative of resting), moderate and fast (associated with travelling) and demonstrated that the time of day influenced their behavioural state.

Impact of Country Income Level on Outcomes in Patients with Acute Brain Injury Requiring Invasive Mechanical Ventilation: A Secondary Analysis of the ENIO Study.

Background: Invasive mechanical ventilation can present complex challenges for patients with acute brain injury (ABI) in middle-income countries (MICs). We characterized the impact of country income level on weaning strategies and outcomes in patients with ABI.

Methods: A secondary analysis was performed on a registry of critically ill patients with ABI admitted to 73 intensive care units (ICUs) in 18 countries from 2018 to 2020.

Food habit, physical activity and nutritional status of adolescents in selected schools of Madhyapur Thimi municipality, Nepal: A cross-sectional study.

A dramatic rise in obesity is caused by unhealthy eating habits combined with lower levels of physical activity, and the under nutrition problem is still unresolved. Focusing on the nutritional needs of adolescents could be a significant step toward breaking the vicious cycle of malnutrition, chronic diseases, and poverty. This study aims to assess food habit, levels of physical activity and nutritional status of adolescents in Madhyapur Thimi Municipality, Bhaktapur.

Advances in Natural-Product-Based Fluorescent Agents and Synthetic Analogues for Analytical and Biomedical Applications.

Fluorescence is a remarkable property exhibited by many chemical compounds and biomolecules. Fluorescence has revolutionized analytical and biomedical sciences due to its wide-ranging applications in analytical and diagnostic tools of biological and environmental importance. Fluorescent molecules are frequently employed in drug delivery, optical sensing, cellular imaging, and biomarker discovery.

Mental Health Literacy and Attitudes Towards Mental Health Problems Among College Students, Nepal.

(1) Background: Research on mental health literacy (MHL) and attitudes toward mental health problems (ATMHP) among non-medical college students in Nepal is limited. This study examined the relationship between MHL and ATMHP, considering demographic variables and familiarity with mental health issues; (2) Methods: We conducted a cross-sectional survey with 385 college students from Chitwan and Kathmandu, Nepal, using opportunity sampling. Descriptive and inferential statistics examined demographic differences, while Pearson's correlation assessed relationships among latent variables; (3) Results: No relationship was found between MHL and ATMHP (r = -0.

Current Stroke Solutions Using Artificial Intelligence: A Review of the Literature.

Introduction: In recent years, artificial intelligence (AI) has emerged as a transformative tool for enhancing stroke diagnosis, aiding treatment decision making, and improving overall patient care. Leading AI-driven platforms such as RapidAI, Brainomix, and Viz.ai have been developed to assist healthcare professionals in the swift and accurate assessment of stroke patients.

Parental wellbeing, parenting, and child mental health in families with young children in Arghakhanchi, Nepal.

Background: Children's social-emotional development and mental well-being are critical to adult mental health. However, little is known about the mechanisms or factors that contribute to poor child mental health in low- and middle-income countries. Given the lack of child mental health research to guide interventions or social-emotional learning programs and policy planning, the present study aimed to address these knowledge gaps by examining the psychopathology mechanism involved in the development of childhood mental health problems.

Participant selection procedures in qualitative research: experiences and some points for consideration.

Qualitative research is widely embraced in the social sciences and education. Among the different traditional, modern, and community-oriented qualitative methodologies, we have drawn on our experiences to adopt seven qualitative methodologies: auto/ethnography, narrative inquiry, participatory action research, ethnography, case study, grounded theory, and phenomenology. Despite the abundance of literature on qualitative methodologies, there is still a need for a more focused exploration of participant selection procedures in qualitative studies.

Evaluation of the Effects of a Combination of Vitamin C, Thiamine and Hydrocortisone vs Hydrocortisone Alone on ICU Outcome in Patients with Septic Shock: A Randomized Controlled Trial.

Aims And Background: Glucocorticoids, vitamin C and thiamine have important biological effects in patients with sepsis and septic shock. Multiple studies have demonstrated the beneficial role of a combination therapy of vitamin C, hydrocortisone and thiamine in patients with sepsis and septic shock in terms of mortality reduction, and increase in the number of days free of ventilators and vasopressors.

Materials And Methods: Patients who had septic shock were assessed for eligibility after intensive care unit (ICU) admission.

HIV Care Seeking Pathways and Barriers to the Continuum of Care Faced by Persons Living With HIV in Rural Nepal: A Qualitative Study.

Background: The Human Immunodeficiency Virus (HIV) has a major impact on a person's social and personal lives, affecting both physical and mental health. To meet the global 95-95-95 target, it is essential to understand and address the multi-level challenges to improve the continuum of care for persons living with HIV (PLWH). This study delves into the care-seeking pathways and barriers encountered by PLWH residing in rural areas of Nepal, shedding light on the complexities of accessing and navigating the continuum of care.

Tobacco consumption behavior and its associated factors among in-school adolescent students of Saptari, Nepal.

Tobacco consumption among adolescent students in Nepal has grown to an alarming proportion, raising serious concerns about associated factors. The study aimed to describe the tobacco consumption behavior of in-school adolescent students and its associated factors. A cross-sectional survey design was followed to conduct the study.

Primary Leiomyosarcoma of the Kidney: A Case Report.

Primary renal leiomyosarcoma is a rare but highly aggressive tumor with a poor prognosis. Early detection and surgical excision provide the most effective initial treatment. However, vigilant postoperative surveillance is critical due to the elevated risk of tumor recurrence and metastasis, as seen in this case.

Quantum machine learning for Lyapunov-stabilized computation offloading in next-generation MEC networks.

Quantum computing and machine learning convergence enable powerful new approaches for optimizing mobile edge computing (MEC) networks. This paper uses Lyapunov optimization theory to propose a novel quantum machine learning framework for stabilizing computation offloading in next-generation MEC systems. Our approach leverages hybrid quantum-classical neural networks to learn optimal offloading policies that maximize network performance while ensuring the stability of data queues, even under dynamic and unpredictable network conditions.

Screening of Breast among Women: A Cross-Sectional Study in Nepal.

Background: Breast cancer ranks as the second most prevalent malignancy among women in Nepal. This cancer has a high likelihood of cure, if detected early. Therefore, it is imperative to emphasize awareness and screening for breast cancer in Nepal.

Clinical, Hematological, and Biochemical Profile in Seropositive Dengue Cases at a Tertiary Care Hospital in Nepal.

Dengue virus infection is a major source of morbidity and mortality in the majority of tropical and subtropical nations. In Nepal, the first case of dengue was reported in 2004, followed by numerous outbreaks exerting a critical impact on public health. This study aims to describe the clinical and laboratory characteristics of dengue patients visiting a tertiary care hospital to see the trend of presentation.

Assuring assistance to healthcare and medicine: Internet of Things, Artificial Intelligence, and Artificial Intelligence of Things.

Introduction: The convergence of healthcare with the Internet of Things (IoT) and Artificial Intelligence (AI) is reshaping medical practice with promising enhanced data-driven insights, automated decision-making, and remote patient monitoring. It has the transformative potential of these technologies to revolutionize diagnosis, treatment, and patient care.

Purpose: This study aims to explore the integration of IoT and AI in healthcare, outlining their applications, benefits, challenges, and potential risks.

Evaluating the feasibility of estimating particulate mass emissions of older-model diesel vehicle using smoke opacity measurements.

Real-world emissions of particulate matter (PM) and smoke opacity were studied for an older-model diesel pickup truck during four types of driving tests, namely fixed-point test, snap-acceleration test, road test, and hill road test (uphill/downhill). A portable emissions measurement system (PEMS) and an opacimeter were used to measure real-time concentrations of PM and smoke opacity, respectively, and simultaneously. Correlation analysis showed a significant positive association between PM and opacity, suggesting the feasibility of using an opacimeter to estimate PM mass emissions from diesel vehicles.

Primary intraperitoneal hydatid cyst presenting with abdominal distension: A case report.

Introduction: Peritoneal hydatid disease accounts for 2-13 % of abdominal hydatidosis cases. Due to its nonspecific clinical presentation and potential for multi-organ involvement, the condition is often misdiagnosed. Evidence on managing primary peritoneal hydatid cysts remains limited, presenting challenges in diagnosis and treatment.

Infantile achalasia cardia: A rare case report of a 3-month-old female with recurrent pneumonia successfully treated with surgical intervention.

Introduction: Achalasia, a rare esophageal disorder with an annual incidence of 0.11 per 100,000 in children, is characterized by impaired lower esophageal sphincter (LES) relaxation and peristalsis. Infantile cases are extremely uncommon and often linked to genetic conditions like Allgrove and Down syndrome.

Role of diaphragmatic ultrasound in patients with acute exacerbation of chronic obstructive pulmonary disease.

Assessing diaphragm function status is vital for diagnosing and treating acute exacerbation of chronic obstructive pulmonary disease (AECOPD). Diaphrag-matic ultrasound has become increasingly important due to its non-invasive nature, absence of radiation exposure, widespread availability, prompt results, high accuracy, and repeatability at the bedside. The diaphragm is a crucial respiratory muscle.

In silico design and assessment of a multi-epitope peptide vaccine against multidrug-resistant .

Unlabelled: , an opportunistic and notorious nosocomial pathogen, is responsible for many infections affecting soft tissues, skin, lungs, bloodstream, and urinary tract, accounting for more than 722,000 cases annually. Despite the numerous advancements in therapeutic options, no approved vaccine is currently available for this particular bacterium. Consequently, this study focused on creating a rational vaccine design using bioinformatics tools.