bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Neuroendocrine Regulation of Reproductive Behavior and Emotional Control by Kisspeptin
Authors: Mills Edouard G , Tsoutsouki Jovanna , Pierret Aureliane C S , Comninos Alexander N , Dhillo Waljit S 
Published: January 2025

Abstract
Reproductive success and ultimately species survival at a population level is contingent on a plethora of neuroendocrine signals working in concert to regulate gonadal function and reproductive behavior. Among these, the neuropeptide kisspeptin (encoded by the KISS1/Kiss1 gene) has emerged as the master regulator of the hypothalamic-pituitary-gonadal axis. Besides the hypothalamus, both kisspeptin and its cognate receptor are extensively expressed throughout cortico-limbic brain structures in rodents and humans, which are regions traditionally implicated in behavioral and emotional responses. Thus, there exists a neuroanatomical framework through which kisspeptin can integrate reproductive behavior and emotional regulation with the reproductive axis. Accordingly, this sets the scene for recent findings derived from an assortment of species, including humans, unveiling kisspeptin as an important gatekeeper of reproductive behavior and emotional control. Herein, we summarize the major preclinical animal and human experimental evidence identifying kisspeptin as a key neuromodulator of reproductive behavior and emotional state. Such findings have laid the foundations for clinical applications of kisspeptin-based therapies for patients with related reproductive and psychosexual disorders.
Successfully starting orthodontic specialty training
Authors: Gray Emily , Bradley Beth , Adam Naeem 
Published: January 2025

This article provides a comprehensive guide for new orthodontic trainees, outlining essential strategies to succeed in specialty training. It emphasizes the importance of building professional relationships with peers, supervisors and staff, cultivating high-quality patient records and ensuring a well-rounded training experience. Key topics include managing training commitments, maintaining accurate case logbooks, understanding assessment requirements, and navigating complex treatment modalities. Additionally, the article discusses the benefits of pursuing a higher degree and the importance of balancing work commitments with personal wellbeing. With practical advice, this guide aims to help trainees approach orthodontic training effectively, and maintain a sustainable work–life balance. CPD/Clinical Relevance: A comprehensive guide designed for new orthodontic trainees, detailing key strategies for successfully navigating specialty training.
Fast and accurate imputation of genotypes from noisy low-coverage sequencing data in bi-parental populations
Authors: Triay Cécile , Boizet Alice , Fragoso Christopher , Gkanogiannis Anestis , Rami Jean-François , Lorieux Mathias 
Published: January 2025

Motivation
Genotyping of bi-parental populations can be performed with low-coverage next-generation sequencing (LC-NGS). This allows the creation of highly saturated genetic maps at reasonable cost, precisely localized recombination breakpoints (i.e., the crossovers), and minimized mapping intervals for quantitative-trait locus analysis. The main issues with these low-coverage genotyping methods are (1) poor performance at heterozygous loci, (2) high percentage of missing data, (3) local errors due to erroneous mapping of sequencing reads and reference genome mistakes, and (4) global, technical errors inherent to NGS itself. Recent methods like Tassel-FSFHap or LB-Impute are excellent at addressing issues 1 and 2, but nonetheless perform poorly when issues 3 and 4 are persistent in a dataset (i.e., “noisy” data). Here, we present a new algorithm for imputation of LC-NGS data that eliminates the need of complex pre-filtering of noisy data, accurately types heterozygous chromosomal regions, precisely estimates crossover positions, corrects erroneous data, and imputes missing data. The imputation of genotypes and recombination breakpoints is based on maximum-likelihood estimation. We compare its performance with Tassel-FSFHap and LB-Impute using simulated data and two real datasets. NOISYmputer is consistently more efficient than the two other software tested and reaches average breakpoint precision of 99.9% and average recall of 99.6% on illumina simulated dataset. NOISYmputer consistently provides precise map size estimations when applied to real datasets while alternative tools may exhibit errors ranging from 3 to 1845 times the real size of the chromosomes in centimorgans. Furthermore, the algorithm is not only highly effective in terms of precision and recall but is also particularly economical in its use of RAM and computation time, being much faster than Hidden Markov Model methods.

Availability
NOISYmputer and its source code are available as a multiplatform (Linux, macOS, Windows) Java executable at the URL https://gitlab.cirad.fr/noisymputer/noisymputerstandalone/-/tree/1.0.0-RELEASE?reftype=tags.
Application of attenuated total reflection–Fourier transform infrared spectroscopy in semi-quantification of blood lipids and characterization of the metabolic syndrome
Authors: Gau Tz-Ping , Wen Jen-Hung , Lu I-Wei , Huang Pei-Yu , Lee Yao-Chang , Lee Wei-Po , Lee Hsiang-Chun 
Published: January 2025

Background/Purpose
Dyslipidemia, a hallmark of metabolic syndrome (MetS), contributes to atherosclerotic and cardiometabolic disorders. Due to days-long analysis, current clinical procedures for cardiotoxic blood lipid monitoring are unmet. This study used AI-assisted attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectroscopy to identify MetS and precisely quantify multiple blood lipid levels with a blood sample of 0.5 µl and the assaying time is approximately 10 minutes.

Methods
ATR-FTIR spectroscopy with 1738 data points in the spectral range of 4000–650 cm−1 was used to analyze the blood samples. An adaptive synthetic technique was used to establish a prevalence-balanced dataset. LDL-C, HDL-C, TG, VLDL-C, and cholesterol levels were defined as the predicted targets of lipid absorption profiles. Linear regression (LR), gradient boosting regression tree (GBT), and histogram-based gradient boosting regression tree (HGBTR) were used to train the models. Lipid profile value prediction was evaluated using R2 and MAE, whereas MetS prediction was evaluated using area under the ROC curve.

Results
A total of 150 blood samples from 25 individuals without MetS and 25 with MetS yielded 491 spectral measurements. In the regression models, HGBT best predicted the targets of TG, CHOL, HDL-C, LDL-C, and VLDL-C with R2 values of 0.854 (0.12), 0.684 (0.08), 0.758 (0.10), and 0.419 (0.11), respectively. The classification model with the greatest AUC was RF (0.978), followed by HGBT (0.972) and GBT (0.967).

Conclusion
The results of this study revealed that predicting MetS and determining blood lipid levels with high R2 values and limited errors are feasible for monitoring during therapy and intervention.
First-line glaucoma monotherapy medication patterns in Finland during 1995–2019 based on a population-based study
Authors: Purola Petri K. M. , Koskinen Seppo V. P. , Uusitalo Hannu M. T. 
Published: January 2025

Background
The long-term patterns in first-line glaucoma medication are not well established. Exploring these in longitudinal and population-based settings would provide information for the healthcare systems to plan glaucoma care accordingly.

Objective
To evaluate patterns in first-line glaucoma monotherapy in Finland during 1995–2019 based on nationwide survey and register data.

Methods
A population-based cohort study with 25 years of total follow-up. The cohort (n = 9288) is a random sample drawn from the nationwide health examination survey FinHealth 2017 which represents the Finnish population aged 30 years or older in 2017. Glaucoma patients were selected from the survey participants based on linked register data that included prescriptions and special reimbursements for glaucoma medication. The patterns, length of use, age at initiation, and persistence of first-line glaucoma drug monotherapies were observed during 1995–2019.

Results
A total of 141 glaucoma patients with glaucoma drug monotherapy as a first-line glaucoma therapy were identified from the sample. The proportion of patients continuing with their first-line monotherapy was 64% after 1 year, 37% after 3 years, and 21% after 5 years of follow-up. During the 25 years there was a shift from beta-blockers to prostaglandin analogues as the prominent first-line glaucoma drug class. The length of use was longer for prostaglandin analogues compared with beta-blockers among patients continuing with their first-line monotherapy after 5 years of follow-up. The non-persistence rate was 38% of all patients during their first-line monotherapy. Timolol fixed-combinations were the most common second-line glaucoma therapy with a share of 39% after 5 years of follow-up.

Conclusions
During the 25-year follow-up a shift from beta-blockers to prostaglandin analogues had occurred and long initial therapies of over 5 years had become more common. However, the decline in the continuation of the initial therapy still occurred early with 1 out of 3 patients continuing after 3 years. This decline together with the consistent problem of non-persistence remain clinical challenges in topical drug therapy of glaucoma.
MicroRNA-221 protects myocardial contractility in myocardial ischemia/reperfusion injury through phospholamban
Authors: Li Hongyu , Qiu Jimiao , Liu Chang , Yu Guobing , Wu Danyu , Chu Yichun , Wang Kai 
Published: January 2025

Objective
To investigate the effects and mechanisms of miRNA 221 on myocardial ischemia/reperfusion injury (MIRI) in mice through the regulation of phospholamban (PLB) expression.

Methods
The MIRI mouse model was created and mice were divided into sham, MIRI, MIRI+ 221, and MIRI+ scr groups, with miRNA 221 overexpression induced in the myocardium of MIRI mice by targeted myocardial injection. Quantitative RT-PCR analysis was performed to observe the variation in miRNA 221, PLB, SERCA2, RYR2, NCX1, Cyt C and caspase 3 mRNA levels in myocardium, while Western blot assessed the levels of PLB, p-PLB (Ser16), p-PLB (Thr17), SERCA2, RYR2, NCX1, Cyt C and caspase 3 proteins. Changes in the structural integrity of the mouse heart were identified with HE and MASSON staining, while TUNEL staining was used to evaluate the TUNEL-positive cells of cardiomyocytes. Changes in myocardium calcium concentration were detected with reagent kits and the targeting interaction between miRNA 221 and PLB was evaluated using a luciferase reporter assay.

Results
In the myocardium of MIRI mice, miRNA 221 level was significantly reduced, while the levels of PLB, p-PLB (Ser16), p-PLB (Thr17), and apoptosis-related genes caspase 3, and Cyt C were increased markedly, as well as calcium levels in myocardium. Following the overexpression of miRNA 221 in myocardium, there was a marked alleviation of myocardial injury and cardiomyocyte apoptosis and necrosis, significant enhancement of left ventricular systolic function, and marked decrease in the levels of PLB, p-PLB (Ser16), p-PLB (Thr17), caspase 3 and Cyt C, as well as a significant decrease in total calcium levels in myocardium.

Conclusions
miRNA 221 can alleviate myocardial injury in mouse myocardial ischemia/reperfusion by suppressing the expression of PLB, thus reducing calcium overload in myocardium.
Exploring the textural characteristics of foods preferred by Chinese elderly individuals based on IDDSI levels
Authors: Chen Muxi , Cheng Yi , Hu Wen , Wang Mengyan , Duan Juan , Shi Lei 
Published: January 2025

Objective
This study aimed to investigate the textural characteristics of foods preferred by elderly Chinese individuals and their suitability based on the International Dysphagia Diet Standardization Initiative (IDDSI) framework. The goal was to provide objective data to support the development of safe and nutritious diets tailored to the swallowing abilities of the elderly.

Methods
A cross-sectional observational study was conducted, using web-scraping technology to identify 26 commonly preferred food ingredients among elderly individuals across seven regions of China. These foods were prepared and evaluated according to IDDSI levels 0–7. Texture analysis was performed to measure hardness, cohesiveness, and adhesiveness, with statistical tests including chi-square analysis and multiple linear regression used to explore the relationships between these textural properties and IDDSI levels.

Results
As IDDSI levels increased, the hardness of various food categories generally showed an upward trend, with significant increases observed in fruits, vegetables, grains, and tubers at IDDSI levels 6–7 (p≤0.05). Cohesiveness varied without a clear linear trend, showing significant changes at specific IDDSI levels for meats, grains, and tubers (p≤0.05). Adhesiveness initially increased and then decreased across the IDDSI spectrum, with the most significant fluctuations occurring in mixed beans, fruits, and grains at levels 5–7 (p≤0.05). Regression analysis revealed that cohesiveness had the most substantial impact on IDDSI levels (coefficient = -5.224, p≤0.05), followed by adhesiveness (coefficient = -0.021, p≤0.05), and hardness (coefficient = 0.002, p≤0.05).

Conclusion
The findings underscore the importance of considering the textural properties of foods when designing diets for elderly individuals with dysphagia. The study provides empirical evidence supporting the IDDSI framework and offers a predictive model that can assist in the development of customized diets, ensuring both safety and nutritional adequacy. Future research should focus on refining food preparation methods to better meet the specific needs of this population.
Long-term Double-J stenting is superior to short-term Single-J stenting in kidney transplantation
Authors: Oudmaijer Christiaan A. J. , Muller Kelly , van Straalen Erika , Minnee Robert C. , Kimenai Diederik J. A. N. , Reinders Marlies E. J. , van de Wetering Jacqueline , IJzermans Jan N. M. , Terkivatan Turkan 
Published: January 2025

Background and objectives
Urological complications after kidney transplantation, due to the ureteroneocystostomy, are associated with significant morbidity, prolonged hospital stay and even mortality. Ureteral stents can minimize the number of complications but are not consistently used, as previous studies were retrospective in nature. We aim to prospectively determine the most effective stenting approach.

Methods
We performed a non-blinded single-centre randomised controlled trial in an academic hospital. Kidney transplant recipients were randomised to either a Single-J stent or a Double-J stent, removed according to respective protocols. Primary outcome was PCN placement within six months. Secondary outcomes encompassed urinary tract infections, cost-effectiveness, and hospital admission time. The study was conducted from November 2018 to August 2023, during which 300 recipients were included with complete follow-up.

Results
PCN was performed in 14.5% in the Single-J group (21/145) and 4.5% in the Double-J group (7/155), p = 0.003. Multivariable logistic regression, corrected for recipient age, BMI, sex, and donor type, showed an OR of 0.26 [0.10, 0.61] (OR [95%CI]). To prevent PCN in one recipient, 10 would have to receive the Double-J. All secondary outcomes were comparable, whereas hospital admission time and cost-effectiveness analysis heavily favoured Double-J stenting. An important limitation was that Single-J participants were unable to leave, even if their recovery allowed earlier discharge.

Conclusion
This trial showed that Double-J stenting consistently reduced urological complications from 14.5% to 4.5%, while being highly cost-effective. Transplant surgeons should favour Double-J stenting to minimise the risk of complications.
Meretas Jalan Kesetaraan: Praktik Baik Dan Refleksi Program Sekolah Gender Di Perguruan Tinggi
Authors: Nasrul Latifi Yulia , Elly Triantini Zusiana 
Published: January 2025

Abstrak
Artikel ini akan menjelaskan tentang praktik baik pengarusutamaan gender di salah satu perguruan tinggi Islam di Indonesia. Dengan menggunakan pendekatan peran dan jaringan aktor (actor network theory/ANT) dan metode penelitian kualitatif, artikel ini menjelaskan temuan penelitian terkait dengan bagaimana upaya program pengausutamaan gender di lingkungan perguruan tinggi di tengah derasnya arus tehnologi informasi yang terus bergerak dinamis, sementara persoalan gender belum bergerak dan masih seringkali muncul berupa persoalan klasik dan berulang. Berangkat dari metode analisis yang digunakan dan didasarkan pada pencarian makna yang secara ontologik bergerak antara empiris, logis, dan etik dengan corak berfikir reflektif dan verstehen, temuan penelitian ini menunjukkan kuatnya peran, kontribusi, dan tantangan Sekolah Gender dalam penguatan paradigma kesetaraan gender dan penguatan kampus inklusi. Analisis atas temuan data menghadirkan refleksi dan rekomendasi bagi penguatan pengausutamaan gender seperti yang terlihat dalam program Sekolah Gender terutama terkait: bentuk dan substansi, kurikulum dan materi, pendekatan pembelajaran, strategi publikasi, dan pengembangan jejaring internal dan eksternal dan merekomendasikan forum atau program serupa di berbagai perguruan tinggi di Indonesia.
Kata Kunci: Pengarusutamaan, Gender, Peran, Tantangan, Perguruan Tinggi
[This article will discuss the best practices of gender mainstreaming at one of the Islamic universities in Indonesia. Using an actor-network theory (ANT) and qualitative methods, this article presents interesting findings on how gender mainstreaming programs survive and are implemented in the higher education environment amidst the dynamic flow of information technology, while gender issues remain stagnant and often present as recurring, classical problems. Based on the analytical methods used and the search for meaning that ontologically navigates between empirical, logical, and ethical dimensions with a reflective and verstehen way of thinking, the research findings highlight the significant role, contributions, and challenges faced by the Gender School in strengthening the paradigm of gender equality and fostering an inclusive campus. The analysis of the data findings provides reflections and recommendations for strengthening gender mainstreaming, as seen in the Gender School program particularly related to: the form and substance, curriculum and materials, learning approaches, publication strategies, and the development of internal and external networks. It also recommends similar forums or programs in various universities across Indonesia.]
Keywords: Mainstreaming, Gender, Role, Challenges, University
Optimal Consumption and Portfolio Choices with Housing Dynamics
Authors: Deng Xiaoyu , Liu Xixian , Sun Qianmin , Wu Banggang 
Published: January 2025

Abstract
This study develops a dynamic model to analyze the optimal consumption and portfolio choices of households acquiring housing services through renting or owning. The model incorporates time-varying financial constraints, represented by the liquid wealth-to-house value ratio, to provide a unified framework for decision-making. We examine the optimal timing and size of house purchases, highlighting the role of intergenerational transfers in facilitating homeownership. By employing a recursive utility function that disentangles risk aversion from the elasticity of intertemporal substitution, the model extends beyond the limitations of standard CRRA utility. Empirical validation using data from the China Household Finance Survey reveals strong consistency between theoretical predictions and observed household behaviors, offering new insights into housing and portfolio decisions under financial constraints.
Implicit pragmatic phenomena in headlines of Hungarian health-related fake news
Authors: Németh T. Enikő , Németh Zsuzsanna , Nagy C. Katalin 
Published: January 2025

Abstract
Fake news is often designed with clickbait headlines to reach a wide readership. The current work focuses on implicit pragmatic phenomena in fake news headlines, namely implicit arguments, implicit contents in speech acts, and implicatures, in order to add to the findings of earlier research on the topic. It provides a corpus-based analysis of Hungarian health-related fake news headlines. It concludes that (i) implicit arguments in headlines create an information gap and are only used as tools of manipulation to generate clicks; (ii) the intended perlocutionary effect of the headlines that appear as speech acts with incomplete propositional content or implicit illocutionary force is not the effective transfer of information but rather to evoke emotions manipulatively; (iii) the goal of the unfair use of implicatures may be to avoid responsibility. This study reveals that the special combination of explicit and implicit content in fake news headlines can create or widen an information gap, manipulate readers by generating psychological effects, convey false information, and stimulate peripheral processing.
Significados del acoso sexual en estudiantes universitarios. Un estudio a través de redes semánticas
Authors: Quintero Hernández Yazmin Alejandra , Tirado Prieto Karla Ximena , Vázquez Ortiz Sara Stephanie , Leal Ocampo Alexa Jimena 
Published: January 2025

Reconocer e identificar el Acoso Sexual (AS) es el primer paso para su erradicación. El estudio tuvo como objetivo conocer los significados que estudiantes universitarios tenían del Acoso Sexual. El estudio se realizó por medio de investigación documental, redes semánticas, diario de campo y observación participante. Los resultados preliminares permitieron acceder a una serie de significados sobre el AS en estudiantes de las carreras de ingeniería civil, enfermería y obstetricia, y administración financiera, del Campus Celaya Salvatierra, de la Universidad de Guanajuato. Derivados de los resultados se diseñaron productos de divulgación dirigidos a la erradicación de este tipo de violencia en la Comunidad Universitaria.
Potential of artificial intelligence and search engines to successful passing the test part of primary accreditation and primary specialized accreditation
Authors: Zheleznova E. A. , Vlasov V. V. , Vlasova A. V. , Depui T. I. , Podobed I. V. 
Published: January 2025

ChatGPT is a language model that has many benefits and applications in healthcare and medicine. It can be useful for medical professionals in various fields, including research, diagnostics, patient monitoring, and education. However, the use of GPT chat also entails a number of ethical issues and limitations, such as accuracy, plagiarism, copyright infringement and bias.The study aim was to assess the potential of passing primary accreditation and primary specialized accreditation using artificial intelligence — ChatGPT, and the Yandex search engine.The study consisted of 2 stages. The study revealed that using ChatGPT made it possible to pass General Medicine primary accreditation and Cardiology primary specialized accreditation. Using ChatGPT4 significantly accelerated the test. However, despite the significant acceleration of artificial intelligence, the quality of the answers does not allow successful accreditation in all specialties. A tendency was noted that the subjects began to trust the bot's answers to a greater extent without checking it.