bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reproductive Donors’ Needs and Preferences in the Process of Embryo and Gamete Donation: A Mixed-methods Systematic Review of the Current Evidence
Authors: Iranifard Elnaz , Roudsari Robab Latifnejad , Amirian Malihe , Zagami Samira Ebrahimzadeh 
Published: October 2024

Abstract

Background
Reproductive donation is a challenging task, in which donors’ needs are sometimes neglected. To provide reproductive donors with a well-structured, evidence-based and donor-centered care, it is important to acknowledge their needs. This study aimed to synthesize current evidence regarding donors’ needs and preferences.
Methods
This mixed-methods systematic review (MMSR) was conducted based on the recommended approach for MMSR by the Joanna Briggs Institute’s manual for data synthesis. The databases of ISI, PubMed, and Scopus were searched using the keywords of "egg donor", "sperm donor", "ovum donor", "gamete donor", "embryo donor", desire, expectation, preference, and need; without a time limit, up to September 2024. All the original research articles regarding reproductive donors’ needs, written in the English language were included in the study. Quality assessment was carried out using JBI tools for cross-sectional, cohort and qualitative studies. Data was integrated and synthesized by convergent integrated approach.
Results
Through data synthesis of 34 eligible articles, seven categories of reproductive donors’ needs emerged. These categories included 1) Need for support, 2) Informational needs, 3) Need for counseling, 4) Requirements for financial policies, 5) Preference towards recognition of donors’ rights, 6) Need for preserving donors’ dignity and respect, and 7) Desire for improvement of socio-cultural beliefs and public stigma of reproductive donation.
Conclusion
Various reproductive donors’ needs are not completely met by the current care provided by fertility clinics. Healthcare policymakers and fertility clinics must consider donors’ needs and preferences in policymaking and/or clinical practice to provide the service that donors deserve.
Registration:
The protocol of this systematic review is registered in PROSPERO (CRD42024588821).
Active compound profiling in fraction 49 of a secondary metabolite extract from Streptomyces hygroscopicus subsp. Hygroscopicus as antimalaria drug using LCMS, molecular docking, and molecular dynamics
Authors: Ardiyanti Sawitri Aji , Farahdina Afifah Aulia , Fitri Loeki Enggar , Widodo Nashi 
Published: October 2024

Abstract

Background Antimalarial resistance in Indonesia is caused by mutations at the drug target sites and biochemical changes in drug receptors. Previous research indicates that only fraction 49 of Streptomyces hygroscopicus Subsp. Hygroscopicus (S. hygroscopicus) is effective as an antimalarial agent in in vitro tests.Methods The active compounds of secondary metabolites from S. hygroscopicus were identified using LCMS. The binding of compounds to target proteins (PfK13, PfPM2, and PfAMA-1) underwent molecular dynamic simulations to estimate the stability and flexibility of the binding through the dynamic structure of the molecules.Results The LCMS analysis identified four compounds with the fastest retention times (indicating increased non-polarity): Dibutyl phthalate, Dihydroyashabushiketol, Dibenzylamine, and Sedanolide. These compounds meet drug-likeness criteria (Lipinski’s rule and Veber’s rule) and exhibit binding affinity values similar to the control for each target protein. Hydrogen and hydrophobic bonds formed between the compounds and targets show similarities with the bonds formed between the target proteins and their respective control ligands. The stability and flexibility of the molecular structures of the active compounds were assessed using molecular dynamics. Dihydroyashabushiketol exhibited the highest binding affinity and demonstrated a stable and flexible structure toward the target proteins PfK13 and PfAMA-1.Conclusion Dihydroyashabushiketol exhibits the highest binding affinity values in almost all target proteins compared to the other compounds, suggesting that Dihydroyashabushiketol has the potential as an antimalarial agent. The compound demonstrates a stable and flexible structure towards the target proteins PfK13 and PfAMA-1, but not towards the PfPM2 protein.
Optimizing Waste Management: The Impact of Pre-treatment on Black Soldier Fly Larvae for Sustainable Protein Sourcing
Authors: HERVE MUBE KUIETCHE , Lionel Gagueng F. , Daniel Dzepe , Ndomou Serge. C. H. , Chia Shaphan Y. , Raphael Kana Jean , Augustave Kenfack , Rousseau Djouaka , Ndindeng Sali A. 
Published: October 2024

Abstract

Amidst escalating global urbanization and population growth, the necessity to revolutionize food systems and redefine waste management strategies has become paramount. This study aimed to contribute to the evolution of protein resource diversification within animal feed and offer a sustainable solution for organic waste management using black soldier fly larvae (BSFL) in Bafia, Cameroon. A survey characterized waste production in both restaurants and households to assess their quantity and quality. Subsequently, collected organic wastes were subjected to two pre-treatments: heating (60°C) and fermentation (4 days), while another batch was used fresh as feeding substrates for BSFL in comparison to a broiler starter diet in a 17 days larval feeding experimental period. Throughout the study period, various parameters were evaluated, including physicochemical properties of substrates, bioconversion and growth parameters, life cycle traits of adult BSF, and the nutritional composition of the larvae. The survey revealed a significant disparity in food waste disposal practices: while 98% of restaurants disposed of waste indiscriminately, 95% of households reported using food waste as fertilizer.In the experimental phase, heat treatment exhibited the highest substrate temperature and pH levels throughout the experimental period. Larvae reared on heated substrates showed superior daily weight gain (0.05g/larva/day) and bioconversion rate (41.76%) compared to other substrates. Additionally, larvae from heat-treated substrates had highest lipid (35%) and protein (29.89%) contents compared to all other organic waste treatments, although his protein content remained lower than that of the chick’s starter diet, which had a higher value (37.53%). Notably, flies from larvae reared on heated substrates emerged two days earlier than those from other treatments. These early-emerging adults lived longer and produced more eggs than their counterparts. This study has revealed a stark contrast in the disposal practices of food waste between restaurants and households in Bafia. The findings underscore the potential of utilizing waste, especially after heat pre-treatment, to produce high-quality black soldier fly larvae, offering a promising avenue for sustainable protein sourcing in animal feed while addressing organic waste management challenges.
Eccentricity excitation equation and its underlying mechanism: Orbital precession mechanism
Authors: Dai Yong-Feng 
Published: October 2024

Abstract

This study addresses the problem of orbit formation in planetary (including planet−moon), binary, and hierarchical triple systems by proposing an eccentricity excitation equation and investigating its underlying mechanism. The study introduces a synchronous orbit radius ratio and investigates the relationship between the semi-major axes and synchronous orbit radius ratios of known eccentric systems with similar mass ratio orders of magnitude and spin–orbit angles to discover the eccentricity excitation equation. In an eccentric system with a mass ratio order of magnitude higher than −7.5217, the semi-major axis exhibits a power-law distribution relationship with the product of mass ratio and square of rotation period ratio. By assuming that a gravitational field rotates along with the host celestial body, this study extends Einstein’s equivalence principle to analyze the mechanism underlying the eccentricity excitation equation. A frame exists in local physical space of a rotating gravitational field, which replaces gravity and exhibits a free-fall acceleration toward the host and an acceleration from an initial zero velocity to current velocity of the gravitational field. This frame can be divided into two subframes, one of which can be replaced by the drag force. The orbital eccentricity results from the combined effect of two drag forces caused by the gravitational field rotation of the primary and secondary bodies in a system. Moreover, a power-law relationship exists between the orbital velocity forming the semi-major axis caused by the drag force due to the gravitational field rotation of the secondary body and the ratio of the two drag forces. Orbital precession is driven by the drag force acting on the secondary body only in the aphelion region and is positively correlated with the eccentricity.
Modeling Regional Determinants of Early Motherhood in Colombia and its impact during COVID-19 pandemic
Authors: RAMIREZ FABIAN A DAVILA , Cala-Viteri Favio 
Published: October 2024

Abstract

Introduction: Early motherhood, defined as occurring in women under 19 years of age, poses significant social challenges with immediate and long-term consequences. This study focuses on early fertility rates (early motherhood) in Colombia and examines their relationship with social and demographic factors.
Methods: Departmental-level data from Colombia's Social Protection Information System (RUAF) and the National Administrative Department of Statistics (DANE) were cleaned and aggregated from 2018-2023. This allowed the estimation of the overall fertility rate, infant fertility rate, and adolescent fertility rate by department and year. A model was constructed to estimate the influence of recognized risk factors such as low educational attainment (% of undereducated population), poverty level (% of population under subsidized health schemes, current GDP), employment rates (% of workforce participation), violence against women (% of female deaths, both general and violent), and infant mortality. The model was refined to improve performance by removing variables with low contributions to early motherhood.
Results: Fertility indicators focusing on early fertility in Colombia were described. Regions that should be prioritized for early fertility prevention strategies were identified because of their increase in the early pregnancy rate during the pandemic. Significant risk factors included the percentage of the population under subsidized health schemes, GDP per capita, percentage of violent deaths, percentage of female deaths, and percentage of deaths among those <18 years of age.
Conclusions: We identified regions that should be prioritized for early fertility prevention strategies, highlighting areas particularly vulnerable to increased early fertility rates during the pandemic. These findings reveal the effects of relaxed public health measures alongside the social and demographic factors needed for targeted interventions. Further research is necessary to quantify the impact of specific interventions on early fertility rates.
Ganga, GAP, and lockdown: potential threats to the biodiversity of the river
Authors: Rai Prabhakar , Kumar Joseph Stanley Yogesh , Sen Arya 
Published: October 2024

ABSTRACT
The Ganges River holds a vital status within India as a cornerstone of the nation's ecological and socio-economic fabric. Flowing through diverse terrains like the Himalayas, Gangetic plains, and coastal regions, it fosters an incredibly rich biodiversity, supporting a myriad of life forms ranging from microorganisms to mammals. Beyond its ecological significance, the river sustains the livelihoods of millions, contributing significantly to the economy of northern India. However, rampant human development over recent decades has posed grave threats to its well-being. Pollution from sewage and industrial waste has tainted its waters with heavy metals, posing risks of bioaccumulation and magnification within aquatic life. Infrastructure projects like dams and bridges disrupt natural habitats and impede the migration of aquatic species, further jeopardising the river's ecological balance. Despite these challenges, there have been glimmers of hope, particularly noted during the COVID-19 lockdown when industrial activities ceased, offering the river a temporary reprieve. Moving forward, effective measures are imperative, including reducing industrial and domestic effluent discharge, scrutinising sources of heavy metal contamination, and prioritising the restoration of the river's natural flow. Preserving the Ganges’ ecological integrity is paramount, necessitating concerted efforts to ensure its health and vitality for future generations.
Resilience, Dispositional Hope, and Psychological Well-Being Among College Students: A Systematic Review
Authors: Yan Zheng , Zakaria Ezarina , Akhir Noremy Md , Hassan Nazirah 
Published: October 2024

Background
Mental health problems are a typical occurrence for college students. Resilience and dispositional hope are crucial in positive psychology and constitute essential psychological capital that collectively promotes psychological well-being. However, limited evidence exists regarding the interplay of resilience, dispositional hope, and psychological well-being across diverse cultures and countries.

Objective
This study aims to synthesize evidence on how resilience, dispositional hope, and psychological well-being interplay across different cultures among college students.

Methods
Six databases were searched comprehensively, adhering to PRISMA guidelines. Initially, 122 articles were identified, with 26 duplicates removed, leaving 96 papers for further evaluation. Subsequently, two separate reviewers evaluated the titles and abstracts of these papers using predefined inclusion criteria, identifying 39 articles for detailed full-text review. Among these, 9 studies were extracted and subjected to rigorous quality assessment.

Results
The article highlights hope and resilience's protective role against stress, anxiety, depression, and academic burnout. Psychological strengths such as resilience and hope significantly enhance well-being. Cultivating these constructs alongside coping strategies and support systems is vital for flourishing among college students.

Conclusion
This systematic review is the first to comprehensively summarize evidence regarding the interplay between college students' psychological well-being, dispositional hope, and resilience. Future research should employ diverse methods for a nuanced understanding, focusing on cross-cultural comparisons.
Oral and Long-acting Injectable Aripiprazole in Severe Mental Illness and Substance Use Disorder Comorbidity: An Updated Systematic Review
Authors: Santorelli Mario , Miuli Andrea , Pettorruso Mauro , Di Carlo Francesco , De Berardis Domenico , Sensi Stefano L. , Martinotti Giovanni , Clerici Massimo , di Giannantonio Massimo 
Published: October 2024

Background:
Co-occurrence of substance use disorders is frequent in patients with mental
health disorders is a condition known as “dual diagnosis”. The use of substances worsens the prognosis
and lowers the quality of life of psychiatric patients. It also increases the risk of hospitalization and
suicide rate.

Objectives:
To assess the effects of aripiprazole therapy on substance use and other psychiatric outcomes
in dually diagnosed patients.

Methods:
We performed a systematic review conducted on 3 databases PUBMED, SCOPUS, and
Web of Science, selecting original studies and analyzing the impact of aripiprazole therapy on dually
diagnosed patients. Six hundred and fifty-five articles were founded and, after removing duplicates
(n = 274) and applying the exclusion criteria, 12 articles were included in our systematic review.

Results:
12 studies were included, among which 6 were Randomized Controlled Trials. The Most frequent
psychiatric diagnosis were schizoaffective disorders, schizophrenia, and bipolar disorders. Alcohol
and cocaine use disorders were the most used substances. Eleven studies showed a clinical improvement
after aripiprazole treatment. 8 studies evaluated craving and found a significant reduction
after treatment with aripiprazole. No definitive conclusions can be drawn on substance usage and
maintenance of abstinence.

Conclusion:
The present findings suggest aripiprazole may be associated with reducing substance craving
and improving depression, psychosis, and schizoaffective disorders in dually diagnosed patients.
ANALISIS PENGARUH UTANG DOMESTIK DAN UTANG LUAR NEGERI TERHADAP PERTUMBUHAN EKONOMI DI INDONESIA PADA TAHUN 2014 - 2023
Authors: Pratomo Athar Gherin , Fadjar Nurman Setiawan 
Published: October 2024

During the period of 2014-2023, Indonesia government set a target for average economic growth of 5.2% for 2014-2020 and 6% for 2020-2025. In order to achieve that, the fiscal policy adopted by the government is by utilizing debt. Based on Keynesian view, the government can incur debt to finance government budget deficits and stimulate economic growth. This research employs the ordinary least squares (OLS) method because it seeks to analyze the relationship between the variables of quarterly increase of GDP, quarterly increase of domestic debt growth, and quarterly foreign debt. Based on the estimation results of the model conducted in the research, the result show that the variables of quarterly domestic debt growth and quarterly foreign debt growth can only explain a 14.49% increase in quarterly GDP value. Simultaneously, domestic debt and foreign debt do not affect economic growth. Partially, an increase per quarter in domestic debt has a significant negative effect on the increase in quarterly GDP value, while an increase per quarter in foreign debt has a positive but not significant effect on the increase of quarterly GDP value.
Leveraging Machine Learning to Identify Subgroups of Misclassified Patients in the Emergency Department: Multicenter Proof-of-Concept Study
Authors: Wyatt Sage , Lunde Markussen Dagfinn , Haizoune Mounir , Vestbø Anders Strand , Sima Yeneabeba Tilahun , Sandboe Maria Ilene , Landschulze Marcus , Bartsch Hauke , Sauer Christopher Martin 
Published: October 2024

Background
Hospitals use triage systems to prioritize the needs of patients within available resources. Misclassification of a patient can lead to either adverse outcomes in a patient who did not receive appropriate care in the case of undertriage or a waste of hospital resources in the case of overtriage. Recent advances in machine learning algorithms allow for the quantification of variables important to under- and overtriage.

Objective
This study aimed to identify clinical features most strongly associated with triage misclassification using a machine learning classification model to capture nonlinear relationships.

Methods
Multicenter retrospective cohort data from 2 big regional hospitals in Norway were extracted. The South African Triage System is used at Bergen University Hospital, and the Rapid Emergency Triage and Treatment System is used at Trondheim University Hospital. Variables included triage score, age, sex, arrival time, subject area affiliation, reason for emergency department contact, discharge location, level of care, and time of death were retrieved. Random forest classification models were used to identify features with the strongest association with overtriage and undertriage in clinical practice in Bergen and Trondheim. We reported variable importance as SHAP (SHapley Additive exPlanations)-values.

Results
We collected data on 205,488 patient records from Bergen University Hospital and 304,997 patient records from Trondheim University Hospital. Overall, overtriage was very uncommon at both hospitals (all <0.1%), with undertriage differing between both locations, with 0.8% at Bergen and 0.2% at Trondheim University Hospital. Demographics were similar for both hospitals. However, the percentage given a high-priority triage score (red or orange) was higher in Bergen (24%) compared with 9% in Trondheim. The clinical referral department was found to be the variable with the strongest association with undertriage (mean SHAP +0.62 and +0.37 for Bergen and Trondheim, respectively).

Conclusions
We identified subgroups of patients consistently undertriaged using 2 common triage systems. While the importance of clinical patient characteristics to triage misclassification varies by triage system and location, we found consistent evidence between the two locations that the clinical referral department is the most important variable associated with triage misclassification. Replication of this approach at other centers could help to further improve triage scoring systems and improve patient care worldwide.
The Impact of International Classification of Disease–Triggered Prescription Support on Telemedicine: Observational Analysis of Efficiency and Guideline Adherence
Authors: Accorsi Tarso Augusto Duenhas , Eduardo Anderson Aires , Baptista Carlos Guilherme , Moreira Flavio Tocci , Morbeck Renata Albaladejo , Köhler Karen Francine , Lima Karine de Amicis , Pedrotti Carlos Henrique Sartorato 
Published: October 2024

Background
Integrating decision support systems into telemedicine may optimize consultation efficiency and adherence to clinical guidelines; however, the extent of such effects remains underexplored.

Objective
This study aims to evaluate the use of ICD (International Classification of Disease)-coded prescription decision support systems (PDSSs) and the effects of these systems on consultation duration and guideline adherence during telemedicine encounters.

Methods
In this retrospective, single-center, observational study conducted from October 2021 to March 2022, adult patients who sought urgent digital care via direct-to-consumer video consultations were included. Physicians had access to current guidelines and could use an ICD-triggered PDSS (which was introduced in January 2022 after a preliminary test in the preceding month) for 26 guideline-based conditions. This study analyzed the impact of implementing automated prescription systems and compared these systems to manual prescription processes in terms of consultation duration and guideline adherence.

Results
This study included 10,485 telemedicine encounters involving 9644 patients, with 12,346 prescriptions issued by 290 physicians. Automated prescriptions were used in 5022 (40.67%) of the consultations following system integration. Before introducing decision support, 4497 (36.42%) prescriptions were issued, which increased to 7849 (63.57%) postimplementation. The physician’s average consultation time decreased significantly to 9.5 (SD 5.5) minutes from 11.2 (SD 5.9) minutes after PDSS implementation (P<.001). Of the 12,346 prescriptions, 8683 (70.34%) were aligned with disease-specific international guidelines tailored for telemedicine encounters. Primary medication adherence in accordance with existing guidelines was significantly greater in the decision support group than in the manual group (n=4697, 93.53% vs n=1389, 49.14%; P<.001).

Conclusions
Most of the physicians adopted the PDSS, and the results demonstrated the use of the ICD-code system in reducing consultation times and increasing guideline adherence. These systems appear to be valuable for enhancing the efficiency and quality of telemedicine consultations by supporting evidence-based clinical decision-making.