bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessment of the Transportation of Abandoned Mine Water Contaminants to the Surrounding Aquifers. A Case of Mlolongo Open-Pit Lake, Kenya
Authors: Chepkoech Ronnice , Alunda Bernard Ouma , Nzioka Antony Mutua 
Published: February 2025

Abstract

This study investigated the water quality of Open-pit Lake and the potential transportation of contaminants to the surrounding aquifers over time. The objectives included determining key water quality parameters, and modelling contaminants' spatial distribution and migration to understand their impact on the surrounding aquifers. Among the measured chemical water quality parameters, calcium (Ca), potassium(K), aluminium (Al), sulphates (SO₄²⁻), chlorides (Cl⁻), nitrite (NO₂⁻), nitrate (NO₃⁻), and nitrogen (N) were within WHO threshold recommended limits. However, sodium (Na), ammonia (NH₄⁺), manganese (Mn), fluoride (F⁻), carbonates (CO₃2⁻), iron (Fe), and phosphates (PO43−) exceed WHO recommended threshold limits. The potential migration and transportation of contaminants were then modelled using MODFLOW and MT3DMS codes. The hydrological, geological, and concentration of contaminants were used as input parameters for the Processing MODFLOW Pro and MT3DMS models. The spatial distribution and travel distance of the selected three contaminants; sodium (Na), carbonates (CO₃2⁻), and nitrate (NO₃⁻) from Mlolongo Open-pit Lake to the surrounding aquifers was simulated. The findings show that the spatial distribution and travel distance increase with time, with shallow aquifers being more vulnerable than deeper aquifers. In addition, the projection of the concentration of contaminants in the surrounding aquifers shows that the concentration of the contaminant increases with time and stabilizes after some time due to dilution and increased travel time. The Processing MODFLOW Pro validation results show a Mean Root Squared Error (RMSE) of 0.2240, indicating a minimal difference between the modelling results and the actual observed values, and thus, a lower modelling error.
Sex-specific dispersal patterns of the threatened Northern River Shark
Authors: Devloo-Delva Floriaan , Kyne Peter , Marthick James , Grant Michael , Gunasekera Rasanthi , Johnson Grant , Morgan David , Pillans Richard , Saunders Thor , White William , Grewe Peter , Feutry Pierre 
Published: February 2025

Abstract

Quantifying genetic connectivity between populations of a species is important to understand its conservation and management needs. Genetic connectivity implies gene flow among discrete populations occurring via the dispersal of individuals outside their population of origin, followed by reproduction. This process can be biased between sexes, with increasing evidence of sex-biased dispersal in elasmobranchs (sharks and rays). In this study we assessed the historical and contemporary connectivity of the threatened Northern River Shark (Glyphis garricki) using mitochondrial genomes, complemented with a genealogical framework based on close-kin relationships. Almost all of the 11 sampling locations in five regions across their known range formed a distinct breeding unit, with those locations in close geographical proximity sharing more kin. Close-kin results, based on cross-river half siblings and mitochondrial haplotypes, suggested that males had higher dispersal rates (63 % [23–68 %]), compared to females (10 % [5–20 %]). High fixation indices (global ΦST = 0.71) and a large proportion of same-river maternal half siblings (89 % [79–95 %]) indicated that females returned to their river of origin for pupping (i.e. natal philopatry on historical and contemporary timescales). By including full mitochondrial genome data, close-kin methods can detect sex-biased contemporary connectivity over the last couple generations. This is crucially important for the framing of conservation and management actions, and could require a sex-specific assessment of threats.
Respiratory syncytial virus G glycoprotein promotes Streptococcus pneumoniae-induced severe pneumonia
Authors: Li Lu , Long Xin , Wan Yushun , Wang Yuncheng , Shi Peiru , Liu Enmei , Deng Yu 
Published: February 2025

Abstract

Objectives
Co-infection with RSV and S.pn is linked to severe, often fatal pneumonia, with unclear molecular mechanisms. This study investigates whether RSV and S.pn interaction enhances pneumococcal pathogenicity and explores the underlying molecular mechanisms.
Methods
We co-incubated S.pn with RSV and transnasally infected mice, using RNA-seq and proteomics to analyze bacterial pathogenesis. Airway epithelial cells were infected with RSV and subsequently challenged with S.pn. We constructed an in vitro biofilm model for further study. Confocal microscopy and Western blotting investigated the association between the RSV G glycoprotein and S.pn. Mass spectrometry and pull-down assays identified surface proteins involved in direct binding.
Results
After incubation with RSV, S.pn exhibited a significant increase in inflammatory response and adherence to epithelial cells, as well as enhanced virulence in a murine pneumonia model. These effects were associated with extensive changes in the proteomics of S.pn and significantly upregulated expression of peptidoglycan biosynthesis genes. Additionally, we found that the RSV G glycoprotein binds to the maltodextrin ABC transporter substrate-binding protein of S.pn, which may explain how RSV infection enhances S.pn adhesion to cells.
Conclusions
The direct interaction between the RSV G glycoprotein and S.pn, leading to increased bacterial pathogenicity and more severe disease outcomes, represents a novel paradigm in respiratory infections.
Clinical trial number
Not applicable.
Development and in-vitro Assessment of Topical Gel of Celecoxib-Loaded Nanosponges for the Rheumatoid Arthritis
Authors: Shanmugam Saraswathi Tenpattinam , Bukke Sarad Pawar Naik , Natarajan Preethi , Narapureddy Bayapa Reddy , Almoyad Muhammad Ali Abdullah 
Published: February 2025

Abstract

Background
Osteoarthritis is characterised by degenerative changes, while rheumatoid arthritis is an inflammatory disorder characterised by swelling and inflammation in the synovial membranes of the joints, which leads to bone erosion and joint deformity. Although new drugs have expanded treatment options, severe rheumatoid arthritis can significantly impair physical functions.
Methods
Using Emulsion Solvent Evaporation technology with a 32-factorial design. Various concentrations of ethyl-cellulose (EC) and poly-vinyl alcohol (PVA) as rate-inhibiting copolymers. The Nanosponges were also tested for particle size (PS), zeta potential (ZP), entrapment efficacy (EE), and drug loading. It was subjected to physicochemical characterisation using FT-IR, XRD, TEM and SEM. The Carbopol 934P gel was treated with an optimised CENS containing an equal amount of Celecoxib. The celecoxib-loaded NS gel was further tested for viscosity, spreadability, drug diffusion, stability, and skin irritation.
Results
CENS2 was constituted of Celecoxib, EC, and PVA, with particle size (259 ± 0.63nm), ZP (-7.01 ± 0.01 mV), and %EE (98.1%). The physicochemical tests of the produced NS showed polymer-drug compatibility, efficient drug encapsulation, and that the drug remained non-crystalline within the spherical NS. CENS3 topical gels revealed 86.3% drug diffusion in Franz cells after good drug release.
Conclusion
The current study suggests that a The CENS3-based gel could improve the transdermal delivery process without inducing skin irritation. Celecoxib Nanosponges gel could prove effective against Rheumatoid arthritis.
Risk of Newly Incident Diabetes Mellitus and Treatment Risk Factors in Breast Cancer Survivors: Landmark Analyses of Nationwide Data
Authors: Shim Hyeongjin , Kim Bong-seong , Han Kyungdo , Koo Hye Yeon , Kim Seonghye , Lee Dagyeong , Cho In Young , Jung Wonyoung , Shin Dong Wook 
Published: February 2025

Abstract

Background
While breast cancer increases the risk of diabetes mellitus (DM), its temporal relationships according to age group and treatment risk factors for DM have not been comprehensively investigated. In this study we explore temporal patterns of DM risk in breast cancer survivors, stratified by age and risk factors.
Methods
Using the National Health Insurance Service database in South Korea, this retrospective cohort study analyzed 65,982 breast cancer survivors and 168,214 age-matched controls, excluding those with prior DM or other cancers. Multivariable Fine-Gray models adjusted for sociodemographics, comorbidities, lifestyle behaviors, and cancer treatments assessed DM risk, with landmark analyses at 1, 3, and 5 years post-diagnosis and stratification by age (≤ 50 and > 50 years).
Results
In women ≤ 50, DM risk was highest in the first year post-diagnosis (sHR 3.74, 95% CI 3.08–4.55), decreased at 1 year (sHR 1.11, 95% CI 1.03–1.19), and showed no significant increase in 3-year and subsequent analyses. In women > 50, DM risk was also elevated in the first year (sHR 1.71, 95% CI 1.92–2.35) but not later. Significant risk factors included BMI ≥ 25 (sHR 1.45), smoking (sHR 1.72), hypertension (sHR 1.48), dyslipidemia (sHR 1.49), and taxane use (sHR 1.15). Tamoxifen was a risk factor in younger women (sHR 1.22, 95% CI 1.06–1.40).
Conclusion
Breast cancer survivors face the highest DM risk within the first year post-diagnosis, particularly younger women. Risk factors include obesity, smoking, hypertension, dyslipidemia, and treatments such as taxane and tamoxifen.
Design and Implementation of a Centralized Monitoring and Controlling System for Campus Lighting
Authors: Kakarla Hussain , Patil Swaroop Vilas , Chougale Gufaran Ainuddin , Jadhav Soudhagar Bharat , Bhojne Sairaj Shrikant , Dapke Ganesh B 
Published: February 2025

Abstract

This paper presents the comprehensive design and implementation of a centralized monitoring and controlling system for college campus lighting. The system integrates a microcontroller with various sensors, relays, contactors, and a Node-MCU Wi-Fi module to create an efficient, automated, and scalable lighting solution. By enabling real-time monitoring and remote control, the system aims to optimize energy consumption, reduce operational costs, and enhance the overall convenience and reliability of campus lighting management. The proposed solution not only ensures sustainable energy usage but also provides a flexible framework that can be adapted to different campus environments. The implementation demonstrates significant improvements in both energy efficiency and ease of maintenance, highlighting its potential as a smart solution for large-scale lighting systems.
The Service Needs Index: A Tool to Quantify Complexity and Identify Treatment Needs in Youth Mental Health Services
Authors: Capon William , Hickie Ian B , Varidel Mathew , Crouse Jacob J , Rosenberg Sebastian , Dimitroupoulos Gina , LaMonica Haley M , Scott Elizabeth M , Iorfino Frank 
Published: February 2025

Abstract

Background While digital technologies can facilitate the comprehensive mental health assessment of an individual’s treatment needs, they also enable the aggregation and analysis of data at a population or service level. The Service Needs Index (made up of clinical, psychosocial, and comorbidity components) collectively expresses a concise metric for the type, range, and complexity of young people’s treatment needs.Methods Using data from 1611 young people, we examined the Service Needs Index (made up of Clinical, Psychosocial, and Comorbidity subscores) across four mental health service populations (headspace Camperdown, urban headspaces, regional headspaces, and Mind Plasticity (a private practice in Sydney, Australia). ANCOVA and pairwise comparisons were conducted controlling for age and sex. Bayesian logistic regression examined the association between index scores and the odds of being at-risk for psychological distress.Results There was significant variability in service needs index scores (and subscores) between the four service populations. The private practice (Mind Plasticity) and regional headspaces had greater complexity than urban headspace services and headspace Camperdown. Complexity was driven by different patterns, with Mind Plasticity having relatively higher clinical and comorbidity needs, while regional headspace services had higher clinical and psychosocial needs. Higher index scores were associated with increased odds of being at-risk for a mental disorder (Kessler-10 > 25), with the Service Needs Index requiring the lowest necessary score increase (6.1-units) to double the odds of being at-risk (OR = 2.0).Conclusions The differences across service groups provide examples on how indices may shape policy and system-level decision-making in headspace services and other Primary Health Networks. The Service Needs Index measures complexity and could inform system-level decision-making by providing insights into trends, resource allocation, and the efficacy of interventions across broader groups.
A qualitative study of health, social, and community professionals’ practices to reduce alcohol- related risks among people living in social precarity in the Greater Paris region
Authors: Frechet Coline , Kane Rokhayatou , Veyrier Clair-Antoine , Yaya Issifou , Alain Tristan , Duracinsky Martin , Kokule Lisa Yombo , Cabrolier Lorraine Cousin 
Published: February 2025

Abstract

People living in social precarity have greater risk of developing alcohol use disorder. Current alcohol use disorder healthcare guidelines recommend implementing partial abstinence-based harm reduction practices, particularly for most-at-risk groups, to minimize the consequences of such a radical change on users and their loved ones. This qualitative study described and analyzed alcohol harm reduction practices adopted by health, social, and community professionals working with people living in social precarity in the Greater Paris region. A thematic analysis of the data revealed the following three alcohol harm reduction practices: (i) authorizing the consumption of alcohol in care facilities, (ii) reducing alcohol consumption, and (iii) providing prevention interventions and information on alcohol consumption.
The facilities share a common focus on building trust and cultural adaptation, with varying levels of patient engagement from passive to active involvement. Alcohol harm reduction practices differ based on location, population served, and users' level of precarity, while addressing both social needs and alcohol consumption simultaneously. A standard definition of the concept of alcohol harm reduction among people living in social precarity is essential so that harm reduction practices can be standardized and their effects objectively assessed.
Theoretical estimation of transcript complexity via the condition number of a random matrix
Authors: Zhang Bo , Guo Yaohui , Liu Guoping , Zou Meng 
Published: February 2025

Abstract

Transcript quantification varies substantially across classical tools like Cufflinks, StringTie, featureCounts, and RSEM, undermining reliability and reproducibility. To address this, we propose a systematic framework for evaluating transcript complexity by calculating the condition number of a gene-specific random matrix, which bounds quantification error and reflects tool discrepancies. Specifically, genes with low condition numbers consistently show high correlations (PCC > 0.8) across tools, whereas genes with high condition numbers exhibit poorer correlations, reflecting tool-specific biases. Longer reads reduce complexity, and as reads lengthen, the condition number approaches 1. Additionally, hybrid-seq reduces quantification error for genes with high condition numbers in short-read data and low condition numbers in long-read data. Notably, unique mapping strategies introduce quantification errors exceeding those of multiple mapping approaches by over 10-fold, even for low-complexity genes, but this discrepancy disappears with sufficiently long read lengths. Integrating transcript complexity metrics with sequencing strategies is essential for improving RNA-seq quantification accuracy.
Modeling surface water potential and allocating water demand in the Nashe River watershed using water evaluation and planning
Authors: Asrat Taye Tadesse , Feyessa Fekadu Fufa , Sime Chala Hailu 
Published: February 2025

ABSTRACT

The Nashe River watershed in Ethiopia is experiencing increased water demand due to the growing socioeconomic activities. As a result, the study aimed to assess the surface water potential and allocate water demands in the Nashe watershed, Ethiopia, by utilizing the water evaluation and planning model. The model was calibrated using observed and simulated streamflow data, resulting in a good performance with a Nash–Sutcliffe efficiency of 0.955, a coefficient of determination (R2) of 0.952, and a percentage of bias of −2.859. In the base year (2019), the annual surface runoff was estimated at 1.197 billion cubic meters (BCM), while the current annual water demand is 328.35 million cubic meters (MCM), indicating no water shortage currently. However, future scenario analysis considering a 3.9% annual irrigation expansion showed an increase in irrigation water demand from 0.30076 MCM in the base year to 0.984 MCM by 2050. Additionally, a scenario analyzing natural climate variation indicated a decrease in available surface water resources, ranging from 1.197 BCM during a normal year to 0.267 BCM during a very dry year. The study revealed that there will be unmet water demand during dry months and excess water demand during wet months.
HIV infection in the Siberian Federal District of the Russian Federation
Authors: Levakhina L. I. , Blokh A. I. , Pasechnik O. A. 
Published: February 2025

Aim: to assess the epidemiological manifestations of HIV infection on the territory of the Siberian Federal District of the Russian Federation.Materials and methods. The study was conducted in 10 territories of the Siberian Federal District over a fourteen-year period of HIV infection surveillance (2009–2022). The material for the study was information from federal statistical observation forms No. 2, No. 61, No. 4, as well as departmental observation «Information on measures for the prevention of HIV infection, hepatitis B and C, identification and treatment of patients with HIV infection.» A traditional descriptive evaluative observational epidemiological study algorithm was used.Results and discussion. In the Siberian Federal District, the long-term average incidence of HIV infection was 101.2 per 100 thousand population (95% CI 101.0–101.4), which is 2 times higher than the Russian average of 48.3 (95% CI 48.3–48.4). The incidence of morbidity among children decreased from 9.6 cases to 4.3 cases per 100 thousand children (Tdecr.=–4.0%, p=0.009). There was an increase in the proportion of the female population among the sick from 35.5% in 2009. up to 46.5% in 2022. The incidence of women in the age group of 15–17 years was 3.7 times higher than the incidence of men, in the age group of 18–24 years it was 1.8 times. The highest incidence rate was observed in three subjects of the Siberian Federal District — Kemerovo, Irkutsk, and Novosibirsk regions. 50.6% of patients had a subclinical stage, 49.1% — stages of secondary diseases. In the Siberian Federal District, during the studied period, the coverage of the population with HIV testing increased by 1.7 times and amounted to 32.4% of the population; the coverage of antiretroviral therapy for HIV-infected patients who were under dispensary observation increased to 90.1%; it decreased by more than 2 times number of cases of treatment interruption.Conclusion. Despite the observed trend towards a decrease in the incidence rate of the population, the relevance of the problem of HIV infection for the health care of the region remains, which requires the introduction of additional measures aimed at stabilizing the epidemiological situation.
Тuberculous enterocolitis as a reflection of immunosuppressive conditions
Authors: Reshetnikov M. N. , Sterlikov S. A. , Gafarov U. O. , Plotkin D. V. 
Published: February 2025

The aim: to determine the main risk factors and their impact on the development of tuberculous enterocolitis (TEC) in Moscow. Materials and methods. Risk factors for the development of intestinal tuberculosis were studied in 217 adult patients with a combination of respiratory tuberculosis and intestinal tuberculosis compared with 22 663 adult patients with respiratory tuberculosis without tuberculosis intestines registered in 2016–2023.Results and discussion. As a result of the calculations, the main risk factors for the development of tuberculous enterocolitis were immunosuppressive therapy (aOR 12.05; 95% CI 6.71–20.69), diabetes mellitus (aOR 9.06; 95% CI 4.45–16.81) and HIV infection (aOR 7.55; 95% CI 5,40–10,67). In our study, we were able to identify the main risk factors affecting the development of tuberculous enterocolitis and adapt the results obtained to the diagnostic search scheme in patients with generalized tuberculosis: the examination algorithm for such patients must necessarily include performing an abdominal CT scan with double contrast enhancement and colonoscopy with biopsy.Conclusion. Taking into account predictors of tuberculous enterocolitis and including them in clinical diagnostic algorithms can help in early diagnosis of the disease and avoid the appearance of its complicated forms.
Agriculture et développement industriel en Centrafrique : une approche par le modèle ARDL
Authors: KPANGBA-KINGO Pothin Melaine Néri 
Published: February 2025

L’agriculture est une composante principale dans les développements industriels qui constitue, parmi d’autres, un mécanisme fondamental de l’Etat pour stimuler la croissance économique. L’objectif de cet article est d’étudier l’incidence de l’agriculture sur le développement industriel en Centrafrique. Dans cet article, les données utilisées sont des séries chronologiques annuelles qui couvrent la période de 1986-2016. La modélisation par l’approche ARDL (Auto Regressive Distributed Lags) a permis de retenir ARDL (1, 1, 2, 2, 2, 1, 2, 1, 2) comme modèle optimal. De plus, le test de bande de Pesarane a révélé l’existence de la cointégration entre les variables de notre modèle économétrique. Les résultats de l’estimation montrent qu’à court terme, l’effet de l’agriculture sur le développement industriel est positif et faible. En revanche, l’effet de l’agriculture à long terme est positif et significatif. Cela nous permet de conclure que le développement industriel en Centrafrique expliquée par l’agriculture