bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of Seasonal Dynamics in Water Temperature and Electrical Conductivity on β- Carotene Biosynthesis in Green Spinach (Silver-beet) and Lettuce (Locarno) Leaves from Aquaponic Greenhouse
Authors: Ibrahim Labaran 
Published: January 2025

Abstract

The present study was conducted to determine the effects of seasonal dynamics in water temperature (WT) and electrical conductivity (EC) on β-Carotene biosynthesis in green spinach (GRSP) (Silver-beet) and green lettuce (GRLE) (Locarno) leaves from an aquaponic greenhouse. The WT and EC of the fish water tap (FWTP) and deep-water culture tank (DWCT) were assessed with a portable dissolved oxygen meter (Model: PDO-520, Taiwan) and a multi-parameter water quality meter (PHT-27, China), respectively. β-Carotene biosynthesis in GRSP and GRLE leaves was analyzed via HPLC-Shimadzu Prominence (Tokyo, Japan). This research was carried out for 4 consecutive seasons (winter, spring, autumn, and summer). The WT levels of the FWTP and DWCT components ranged from 12.12 ± 1.34–25.21 ± 0.95°C. The EC values of these 2 components ranged from 0.55 ± 0.05–0.65 ± 0.55 mS/cm. The WT and EC values were significantly (p < 0.05) different among the 4 seasons. Throughout the research period, the highest and lowest WT and EC levels were detected in the summer and winter periods, respectively. Furthermore, β-Carotene biosynthesis in the GRSP and GRLE leaves ranged from 3.63 ± 0.27–25.80 ± 6.67%. A significant (p < 0.05) difference in β-Carotene biosynthesis of the 2 leafy materials was recorded in the summer and autumn. However, no significant (p > 0.05) different was detected in the winter and spring. The highest level of β-Carotene biosynthesis was obtained in the summer. The results of the present study revealed that seasonal changes in WT and EC induced variations in β-Carotene biosynthesis in the studied vegetable materials. Hence, this work could be used to interpret better climate or growing conditions for sustainable food production.
Pharmacokinetics and Toxicity Study of a Single Intravenous Dose of Distilled Extract of Zanthoxylum piperitum in ICR Mice
Authors: Jang Ji Yong , Kim Jong Uk , Yang Gabsik , Lee Jun Ho , Yook Tae Han 
Published: January 2025

Abstract

This study aimed to investigate the pharmacokinetics and acute toxicity of a single intravenous dose of distilled Zanthoxylum piperitum (deZP) extract in ICR mice. The focus was on understanding the absorption, distribution, and elimination of Terpinen-4-ol, the major active component of deZP, as well as assessing its safety at the administered dose. ICR mice were administered a single intravenous dose of deZP (2.4 mg/kg), and plasma concentrations of Terpinen-4-ol were measured using LC-MS/MS at various time points. Pharmacokinetic parameters such as Cmax, Tmax, half-life, and clearance rate were calculated. In addition, clinical signs, mortality, and biochemical markers were monitored to evaluate acute toxicity. Terpinen-4-ol was rapidly absorbed, reaching a peak plasma concentration (Cmax) of 609.0 ng/mL within 0.083 hours (Tmax). It exhibited a short half-life of 0.168 hours and a high clearance rate of 194.1 L/h/kg. No mortality or significant clinical signs of toxicity were observed. Biochemical parameters, including liver and kidney function markers, remained within normal ranges, indicating that the administered dose was well-tolerated. The pharmacokinetic profile of deZP suggests rapid absorption and elimination of Terpinen-4-ol, while the toxicity assessment indicates good tolerability at the tested dose in ICR mice. These findings provide a foundation for further exploration of deZP's therapeutic potential.
Predicting current and future suitability for intermediate snail hosts of urogenital and intestinal schistosomiasis in a floodplain of Malawi
Authors: Nkolokosa Clinton , Chirombo James , Jones Christopher M. , Kambewa Eggrey Aisha , Tangena Julie-Anne Akiko , Stothard J. Russell 
Published: January 2025

Abstract

This paper presents the first species distribution models (SDMs) for intermediate snail hosts for urogenital and intestinal schistosomiasis in the Lower Shire Valley (LSV), Malawi. The SDMs are specific to the Bulinus africanus group and Biomphalaria pfeifferi. The former transmits urogenital schistosomiasis (Schistosoma haematobium), and the latter transmits intestinal schistosomiasis (Schistosoma mansoni), both of which affect nearly 240 million people globally. This study addresses the following questions: 1. Where are the most suitable habitats for intermediate host snails in the LSV? 2. Which environmental factors influence the geographical distribution of such snails in the LSV? 3. How will climate change shape future schistosomiasis transmission risk? Consistent with expectations, the SDMs reveal the following: 1) currently, Bu. africanus not only has a wide distribution across central Chikwawa and eastern Nsanje but is also concentrated in floodplains, and the LSV has few habitats that can support Bi. pfeifferi, 2) vegetation cover is the most important predictor of Bu. africanus distribution, whereas precipitation variables are most important for Bi. pfeifferi in the LSV, and 3) future projections indicate a moderate increase (4.4%) and east-ward shift in Bi. pfeifferi distribution, with patchy spatial coverage, and a significant expansion (46%) of suitable habitats for Bu. africanus in LSV. Understanding the spatial and temporal distributions of these snails is important for controlling and eliminating schistosomiasis.
Evaluation of the mechanical properties of implant-supported permanent crowns manufactured by additive and subtractive techniques: an in vitro study
Authors: Sahin Nilufer Ipek , Tokar Emre 
Published: January 2025

Abstract

Background
The development of composite resin materials that can be used with additive manufacturing techniques has contributed to the widespread use of 3D printers for producing implant-supported permanent crowns. The number of studies evaluating the surface roughness and fracture resistance of these materials is limited. This study aims to evaluate these features of implant-supported crowns produced by additive manufacturing using an experimental setup as close to clinical conditions as possible, and to compare the results with those of crowns produced by subtractive manufacturing methods. Crowns produced in three different thicknesses were used to determine the optimal wall thicknesses applicable in clinical practice.
Methods
In this in vitro study, two composite resins and one hybrid ceramic were used. A total of 180 crowns, produced in three different thicknesses (1.0, 1.5, and 2.0 mm), were cemented onto titanium abutments. Half of the crowns were designated as experimental, whereas the other half served as control groups (n = 10 for each material and thickness group). The samples in the experimental group were subjected to thermal aging to simulate one year of clinical aging. Surface roughness measurements were taken using a profilometer, and a universal testing machine was employed to assess fracture resistance. Two-way ANOVA was used to compare group means, Duncan’s post-hoc test was used for the comparative evaluation of subgroups, and a t-test was used to compare surface roughness results before and after thermal aging.
Results
Compared with those produced by the subtractive manufacturing technique, the crowns produced via the additive manufacturing technique presented lower surface roughness and lower fracture resistance values. Thermal aging did not significantly affect these parameters across all test groups (p > 0.05). There was no difference between the two manufacturing techniques at 1.0 mm (p > 0.05), whereas crowns produced using the subtractive manufacturing technique at thicknesses of 1.5 and 2.0 mm presented greater fracture resistance than those produced with the additive manufacturing technique (p < 0.01).
Conclusions
It was concluded that implant-supported permanent crowns produced by the additive manufacturing technique using composite resin meet clinical requirements regarding surface roughness and fracture resistance.
Overdose risk environment for people who use drugs in New Jersey: Imagining possible points of intervention for harm reduction practitioners
Authors: Sullivan Nora , Enich Michael , Flumo Rachel , Campos Stephanie , Flores Netanya , Mellor Jenna , O’Neill Caitlin , Nyaku Amesika N. 
Published: January 2025

Abstract

Background
The Risk Environment Framework is widely utilized theoretical framework for understanding the landscape of harm for people who use drugs (PWUD). This study sought to understand factors contributing to risk of overdose for PWUD in New Jersey. Understanding these factors can lead to improved policy interventions, programmatic targets, and a shared understanding that overdose risk is impacted by larger societal forces influencing PWUD.
Methods
Using a community based participatory design model, this study conducted 30 semi-structured, in-depth interviews with PWUD and naloxone distributors in New Brunswick and Newark, New Jersey from February to November of 2022. Thematic analysis was performed using a collaborative analytical approach.
Results
Risk factors for overdose fell into all four categories of Rhodes’s Risk Environment Framework – physical, social, economic, and policy. Many factors overlapped in multiple categories, and most factors had elements existing at both the macro and micro levels.
Conclusions
Interventions supporting PWUD should see overdose risk as an environmental, structural consideration, and be constructed to address comprehensive risks, rather than directing themselves exclusively at the individual level. Factors contributing to risk at the macro level included systemic and institutional concerns and stigma toward PWUD. At the micro level, mental health, substance use behaviors, treatment and recovery, and trauma were cited as potential risk factors.
A Face Recognition Based Attendance System with Geolocation and Real-Time Action Logging
Authors: Ray Debmalya 
Published: January 2025

Abstract

This paper introduces a cutting-edge face recognition-based attendance system, designed to address the limitations of traditional attendance methods through the integration of advanced machine learning, computer vision, and geospatial APIs. The system streamlines the attendance process by automating the identification and logging of attendees with high accuracy and efficiency. Key features include live video recognition for real-time face identification, an intuitive user registration module for enrolling new individuals, CSV-based logging for seamless data export and management, and geolocation-aware attendance tracking to ensure that records are not only time-accurate but also location-specific. This geospatial context provides valuable insights, particularly for distributed teams or multi-location setups. The implementation leverages Python, a versatile programming language, and integrates OpenCV for real-time video processing and face detection, ensuring quick and reliable face recognition even in dynamic environments. The graphical user interface (GUI) is developed using PyQt5, allowing for a user-friendly and responsive experience. This combination of powerful technologies ensures that the system is both scalable and adaptable, able to integrate easily into various organizational workflows, from small educational institutions to large-scale corporate environments. The system's practical application is validated through experimental results conducted in diverse settings, including workplaces, academic institutions, and security-sensitive environments. These results highlight the system’s exceptional accuracy, even under challenging conditions such as low lighting or crowded spaces. Furthermore, the system demonstrates its potential to enhance operational efficiency, reduce administrative overhead, and improve security by providing a reliable, context-aware solution for attendance management. In conclusion, this face recognition-based attendance system offers a modern, automated solution that combines the power of machine learning and computer vision with geospatial data, creating an intelligent, highly effective tool for attendance tracking across a wide range of industries and applications.
Impact of CYP2D6 polymorphisms on the pharmacokinetics, efficacy, and safety of tamsulosin therapy in patients with benign prostatic hyperplasia
Authors: Abdullaev Sh. P. , Abdullaev Sh. P. , Shatokhin M. N. , Krasnov A. V. , Bochkov P. O. , Tuchkova S. N. , Loran O. B. , Sychev D. A. 
Published: January 2025

Introduction. CYP2D6 is involved in the metabolism of tamsulosin, which is used to treat lower urinary tract symptoms (LUTS) in benign prostatic hyperplasia (BPH). However, the impact of carrying polymorphic variants of the CYP2D6 gene on the clinical efficacy and safety of tamsulosin therapy is still not well understood.Aim. To evaluate the impact of CYP2D6 polymorphic variants on steady state concentration of tamsulosin (Cssmin), as well as their correlation with the efficacy and safety of therapy in patients with BPH.Materials and methods. A single-center prospective study included 75 patients who completed all stages of the study. The median age of the patients was 69 years, body mass index was 27.17 ± 4.86 kg/m². 56 patients (74.67%) had comorbidities, which means the presence of at least one chronic disease in addition to the diagnosis of benign prostatic hyperplasia. 26 people (34.67%) were classified as polymorbid patients, i.e. having several comorbidities at once, while 19 patients (25.33%) had no comorbidities except for benign prostatic hyperplasia. Genotyping was performed by real-time polymerase chain reaction. Cssmin of tamsulosin was determined by HPLC-MS/MS. Efficacy of therapy was assessed using IPSS score and Qmax. Safety was assessed based on the incidence of adverse reactions.Results. Carriage of CYP2D6*4 and CYP2D6*10 was found to be associated with statistically significant increases in Cssmin levels. However, the identified pharmacokinetic differences, carriage of CYP2D6 markers was not reflected in the clinical efficacy and safety of tamsulosin.Conclusion. CYP2D6*4 and CYP2D6*10 may affect the Cssmin levels of the tamsulosin, but does not affect the clinical results of treatment.
Assessment of ecological risks to the health of students using a questionnaire method
Authors: Onopriev V. V. , Bolotova E. V. , Dudnikova A. V. , Batrakova L. V. , Abramenko A. G. 
Published: January 2025

Introduction. The study of the prevalence of multiple chemical sensitivity (MCS) among young people is a significant medical and social issue. Sensitivity to environmental factors is not only an indicator of functional disorders but also one of the mechanisms negatively affecting health levels, disease development, quality of life, and reduced productivity. Multiple chemical sensitivity (MCS) represents one of the widespread variants of the body’s maladaptation to chemical components in the environment.Aim. To assess environmental risks to students’ health through a questionnaire.Materials and methods. Questionnaire survey using QEESI questionnaire of 287 student volunteers 95 males with a mean age of 20.2 ± 1.3 years and 192 females with a mean age of 20.5 ± 1.4 years. Data collection using the developed digital platform “EcoMedic”. Statistical processing was performed using MedCalc statistical programme.Results. Among all 287 tested individuals, a total of 94 individuals (33.1%) were found to have MHF criteria. In the group of 135 first-year students tested, 39 individuals (28.8%) met the criteria for the diagnosis of MHF. A survey of 152 fourth-year students revealed that 55 (36.1%) met the criteria for the MHF diagnosis. Compared to the group of 1st year students with MHF, 4th year students suffering from MHF had higher intensity of respiratory/mucous membrane symptoms p = 0.0016, cardiac and chest symptoms, p = 0.001, gastrointestinal symptoms p = 0.0001 and cognitive disorders p = 0.0001.Conclusions. The prevalence of multiple chemical intolerance among students was 33.1%. Worsening MCH symptoms include increased respiratory/mucosal, cardiac/thoracic, gastrointestinal, and cognitive symptoms.
Thioredoxin-interacting protein TXNIP as a promising diagnostic marker for metabolic-associated fatty liver disease in patients with type 2 diabetes
Authors: Meltonian A. R. , Laevskaya M. Yu. , Savchenkov Yu. N. , Babenko A. Yu. 
Published: January 2025

Introduction. Metabolic-associated fatty liver disease (MAFLD) is a common disease that has a pathogenesis-based relationship with type 2 diabetes (T2D).Aim. To determine the levels of TXNIP protein in patients with MAFLD and T2D who were on metformin monotherapy, to compare these levels with the findings of MRI of the liver, and to assess changes in TXNIP protein levels six months after starting treatment with glucagon-like peptide-1 receptor agonists (GLP-1RA) and sodium-glucose cotransporter-2 (SGLT-2) inhibitors.Materials and methods. The study included 49 patients (34 female and 15 male) with T2D and MAFLD, aged 55 ± 8 years, who were followed up at the outpatient clinic of Almazov National Medical Research Centre (St. Petersburg) from January 2023 to March 2024. The eligibility criteria included BMI values of 25–40 kg/m² and a glycated hemoglobin level not exceeding 9.5%. Results. The study showed that serum TXNIP protein levels were positively correlated with the severity of MAFLD assessed based on MRI findings. Furthermore, TXNIP levels significantly decreased as a result of therapy with GLP-1RAs and SGLT-2 inhibitors.Conclusion. These correlation data suggest that the TXNIP level could be used as a promising diagnostic marker in patients with MAFLD and T2D, both at the stage of diagnostic evaluation and when considering the outcomes of ongoing therapy.
Current approach to the management of adnexal torsion
Authors: Dobrokhotova J. E. , Shchegolev A. A. , Markarov A. E. , Kotomina T. S. , Khlynova S. A. , Dimitrova V. I. , Markova E. A. , Slyusareva O. A. 
Published: January 2025

Introduction. In the structure of urgent gynecological practice, ovarian torsion ranks fifth, which is usually diagnosed in women of reproductive age. To date, there is no single standard for assessing the viability of the ovary and choosing a conservative or radical operation for patients with ovarian torsion, in this regard, there is a need to search for potential predictors that determine the validity of the choice of the volume of surgical intervention.Aim. To optimize management tactics for patients with uterine torsion.Materials and methods. In a retrospective study, an analysis of 55 case histories of patients admitted to a gynecological hospital with a diagnosis of ovarian torsion was carried out. Depending on the organ-preserving and organ-removing surgical treatment, the patients were divided into two groups. The analysis of the studied indicators was carried out using correlation, regression, factor and ROC analysis.Results. The results of the study demonstrated that only a visual assessment of the state of the ovarian torsion to unjustified organ-removing interventions in 57.1% of patients. Based on correlation, factor, regression and ROC analysis, diagnostically significant predictors determining the volume of surgical intervention were determined.Conclusions. Based on the retrospective analysis, an algorithm for managing patients with ovarian torsion was developed: at stages A and B according to the clinical classification of ovarian torsion damage, regardless of the studied criteria, organpreserving treatment – detorsion must be performed; at stage C, special attention is paid to D-dimer values: at D-dimer <1450 ng/ml – detorsion, and only at D-dimer >1490 ng/ml – organ-preserving surgery.
The Moderated Mediating Effects of Social Media Identity and Loneliness on the Relationship Between Problematic Internet Use and Mental Health in China: Nationwide Cross-Sectional Questionnaire Study
Authors: Liu Chenxi , Liu Yushu , Liu Chaojie , Lin Rujiao , Wang Xi , Zhang Xinyi , Wu Yibo , Wang Dan 
Published: January 2025

Background
Mental health disorders are a major public health challenge, and problematic internet use (PIU) may play an important role in this issue. However, the underlying mechanisms of PIU and its effects on mental health have not yet been elucidated.

Objective
This study examines the mediating effect of loneliness on the relationship between PIU and mental health, as well as the moderating effect of social media identity on the relationships among PIU, loneliness, and mental health.

Methods
A cross-sectional questionnaire survey was conducted on 21,292 participants recruited using a multistage stratified sampling strategy from 31 provinces/regions in mainland China from June 20 to August 31, 2022. This study assesses PIU (PIU questionnaire-short form-6), depression (9-item Patient Health Questionnaire [PHQ-9]), anxiety (7-item Generalized Anxiety Disorder scale [GAD-7]), loneliness (3-item loneliness scale), and social media identity (identity bubble reinforcement scale). Additionally, we collected the sociodemographic characteristics of the participants. Participants whose total score of PHQ-9≥15 or total score of GAD-7≥10 were considered to have moderate or severe symptoms of depression or anxiety, respectively. A moderated mediation model was established to examine the mediating effect of loneliness on the association between PIU and mental health outcomes (depression and anxiety), moderated by social media identity.

Results
Approximately 22.80% (4854/21,292) and 14.20% (3023/21,292) of the respondents reported moderate or severe symptoms of depression and anxiety, respectively. Loneliness significantly mediated the association between PIU and mental health outcomes, explaining 42.53% and 45.48% of the total effect of PIU on depression and anxiety, respectively. Social media identity significantly moderated the associations between PIU and depression (β=0.002, 95% CI 0.001-0.002), PIU and anxiety (β=0.001, 95% CI 0.000-0.002), loneliness and depression (β=0.010, 95% CI 0.007-0.013), and loneliness and anxiety (β=0.007, 95% CI 0.004-0.010), but not between PIU and loneliness (β=0.000, 95% CI –0.003 to 0.003). Higher levels of social media identity were significantly associated with lower levels of loneliness (β=–0.018, 95% CI –0.020 to –0.016).

Conclusions
Addressing loneliness may serve as a valuable approach to mitigate the impact of PIU on mental health outcomes. However, social media identity poses a significant challenge in addressing health issues linked to PIU.