bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development and application of a machine learning-based predictive model for obstructive sleep apnea screening
Authors: Liu Kang , Geng Shi , Shen Ping , Zhao Lei , Zhou Peng , Liu Wen 
Published: May 2024

ObjectiveTo develop a robust machine learning prediction model for the automatic screening and diagnosis of obstructive sleep apnea (OSA) using five advanced algorithms, namely Extreme Gradient Boosting (XGBoost), Logistic Regression (LR), Support Vector Machine (SVM), Light Gradient Boosting Machine (LightGBM), and Random Forest (RF) to provide substantial support for early clinical diagnosis and intervention.MethodsWe conducted a retrospective analysis of clinical data from 439 patients who underwent polysomnography at the Affiliated Hospital of Xuzhou Medical University between October 2019 and October 2022. Predictor variables such as demographic information [age, sex, height, weight, body mass index (BMI)], medical history, and Epworth Sleepiness Scale (ESS) were used. Univariate analysis was used to identify variables with significant differences, and the dataset was then divided into training and validation sets in a 4:1 ratio. The training set was established to predict OSA severity grading. The validation set was used to assess model performance using the area under the curve (AUC). Additionally, a separate analysis was conducted, categorizing the normal population as one group and patients with moderate-to-severe OSA as another. The same univariate analysis was applied, and the dataset was divided into training and validation sets in a 4:1 ratio. The training set was used to build a prediction model for screening moderate-to-severe OSA, while the validation set was used to verify the model's performance.ResultsAmong the four groups, the LightGBM model outperformed others, with the top five feature importance rankings of ESS total score, BMI, sex, hypertension, and gastroesophageal reflux (GERD), where Age, ESS total score and BMI played the most significant roles. In the dichotomous model, RF is the best performer of the five models respectively. The top five ranked feature importance of the best-performing RF models were ESS total score, BMI, GERD, age and Dry mouth, with ESS total score and BMI being particularly pivotal.ConclusionMachine learning-based prediction models for OSA disease grading and screening prove instrumental in the early identification of patients with moderate-to-severe OSA, revealing pertinent risk factors and facilitating timely interventions to counter pathological changes induced by OSA. Notably, ESS total score and BMI emerge as the most critical features for predicting OSA, emphasizing their significance in clinical assessments. The dataset will be publicly available on my Github.
Causal effects and metabolites mediators between immune cell and risk of breast cancer: a Mendelian randomization study
Authors: Ming Ruijie , Wu Huan , Liu Hong , Zhan Fangbiao , Qiu Xingan , Ji Ming 
Published: May 2024

Introduction: The incidence and mortality of female breast cancer remain high, and the immune microenvironment of breast cancer has undergone significant alterations. However, the impact of blood immune cell levels on the risk of breast cancer is not fully understood. Therefor this study aims to investigate the causal relationship between blood immune cell levels and the risk of breast cancer.Methods: A Mendelian randomization (MR) analysis was employed to assess the causal relationship between immune cells and the risk of breast cancer, as along with their potential mediating factors. Genetic statistics of metabolites breast cancer and immune cells were obtained from the GWAS Catalog, while the genome-wide association study (GWAS) statistics of breast cancer were extracted from the UK biobank. Two-sample MR analysis were performed using inverse-variance weighted (IVW) to ascertain the causal association between immune cells and the risk of breast cancer. Furthermore, 1,400 metabolites were analyzed for their mediating role between immune cells and the risk of breast cancer.Results: MR analysis through IVW method revealed that genetically predicted CD24+ CD27+ B cells were associated with a decreased risk of breast cancer (OR = 0.9978, 95% CI: 0.996–0.999, p = 0.001), while IgD- CD38+ B cells were linked to an increased risk of breast cancer (OR = 1.002, 95% CI: 1.001–1.004, p = 0.005). Additional CD14+ CD16+ monocytes were associated with an increased risk of breast cancer (OR = 1.000, 95% CI: 1.000–1.001, p = 0.005). Mediation analysis revealed a positive causal relationship between IgD- CD38+ B cells and Glycerate levels, with the latter also exhibiting a positive causal relationship with the risk of breast cancer (p &lt; 0.05). Conversely, IgD- CD38+ B cells displayed a negative causal relationship with Succinoyltaurine levels, and the latter also demonstrated a negative causal relationship with the risk of breast cancer (p &lt; 0.05).Conclusion: This MR study provides novel genetic evidence supporting a causal relationship between IgD- CD38+ B cells and the risk of BC. Moreover, it is identified that IgD- CD38+ B cells contribute to an increased risk of BC through both positive and negative mediation effects involving Glycerate and Succinoyltaurine.
Strategic Analysis of Feature Selection Methods for Enhanced Dental Therapy Recognition in Machine Learning Applications
Authors: Noor Shaheena , Saleem Muhammad Imran , Ismat Najma , Minhas Humera Noor , Rukaiya Rukaiya , Siddiqui Aneeta 
Published: May 2024

The popularity of smart clinics has increased significantly as a result of technical developments in fields like computer vision. At the heart of such systems is the ability to recognize objects and activities as well as perceive the environment as a whole. This is crucial for both eco-independent systems and human-machine interaction, especially in settings with constrained workspaces, like dental care. Our study delves into an extensive analysis of multiple machine learning models designed to robustly predict dental treatments. These models encompass Lazy Instance-based Learning, Sequential Minimal Optimization, Hoeffding Tree, and Random Tree. Leveraging object-oriented input sourced from gaze-guided wearable cameras, we scrutinize intricate attributes such as material properties, patients' dental conditions, and the array of instruments in use. Notably, we exploit the insight that identifying visual cues during an activity holds the potential to address the specific therapy identification challenge. Utilizing a dental data set that we gathered in the real world, we conducted our experiments and discovered that combining multiple criteria enhances accuracy in comparison to using each one alone. We did see, nevertheless, that in certain circumstances employing the symptoms alone produced superior outcomes. Additionally, symptoms demonstrated to have lesser error than combination in terms of RMS error convergence. Finally, we observed that the machine learning models' build and test durations increased as a result of the combined method. This demonstrates that adding additional parameters does not necessarily result in better outcomes in machine learning applications generally and in medical/dental applications in particular. Instead, it relies on the machine learning tool used, the settings taken into account and the input data provided. The versatility of our approach extends beyond dental contexts. It has been systematically validated across diverse domains, including the recognition of kitchen activities within smart home environments. This methodology holds relevance for various outdoor scenarios where the focal point of attention guides ongoing activities.
Influence of Steam Curing Temperature on the Characteristic of Self-Compacting Concrete Incorporating Palm Shell Ash
Authors: Nurjannah Siti Aisyah , Muliawan Sutanto , Nurazizah Ervi Tri Romayni , Asmarani Dwi 
Published: May 2024

Self-Compacting Concrete (SCC) is proven as durable concrete and applied to constructions. In this paper, a study was conducted to analyze the influence of variations of steam curing temperature (SCT) and water/binder (w/b) ratio on the characteristics of SCC incorporating 10% Palm Shell Ash (PSA) as a partial substitution for cement mass. The SCT was arranged from 25 C to 80 C. The variation of w/b in the compositions of SCC was 0.325, 0.350, and 0.375. The results showed that using PSA, the variation of SCT and the w/b ratio influenced the workability of the fresh concrete. The PSA, SCT, and the w/b ratio affected the concrete compressive strength and mass density. The increased SCT caused a lighter density and greater compressive strength. However, the decreased compressive strength occurred due to an excessive SCT of 70 C and above. The SCT of 60 C, 10% PSA, and w/b ratio of 0.350 in the mixture produced the greatest compressive strength of 36.27 MPa at 28 days of age, while without SCT, the greatest compressive strength of 36.78 MPa was achieved at the age of 28 days containing 10% PSA and w/b ratio of 0.325. It indicated that the w/b ratio was more influential than the SCT on the increase of the SCC compressive strength.
Procesy sekurytyzacji i desekurytyzacji migracji w Polsce w kontekście migracji z Ukrainy po wybuchu wojny rosyjsko-ukraińskiej (2022)
Authors: Liszkowska Dominika 
Published: May 2024

Przedmiotem artykułu jest proces desekurytyzacji migracji w Polsce, który można zaobserwować w kontekście migracji, które miały miejsce po wybuchu wojny na Ukrainie (2022). W artykule, przy wykorzystaniu teorii sekurytyzacji szkoły kopenhaskiej, dokonano w pierwszej kolejności analizy procesu zapoczątkowanego w 2015 r., związanego z kryzysem migracyjnym UE. W jego wyniku doszło do zaostrzenia dyskursu medialnego i politycznego w Polsce i ukazania migrantów i uchodźców z Bliskiego Wschodu i Afryki, jako zagrożenia dla państwa i społeczeństwa. Podobna tendencja zaobserwowana została w związku z sytuacją na granicy polsko-białoruskiej, kiedy przy wykorzystaniu obrazów wzbudzających strach wprowadzono „środki nadzwyczajne”, uniemożliwiające migrantom (określanym jako „broń Łukaszenki”) przedostanie się na terytorium Polski. Z kolei znacznie bardziej masowa migracja, która miała miejsce po wybuchu wojny na Ukrainie, nie spotkała się z taką tendencją, a towarzyszące jej działania można ocenić całkowicie odmiennie. W związku z tym celem analizy stała się odpowiedź na pytanie: jakie czynniki wpłynęły na desekurytyzację migracji, która miała miejsce w Polsce po inwazji Rosji na Ukrainę?
Mapping the Key Actors of Rural Land Conflicts in Bangladesh
Authors: Rahman Md. Zarif , Korobi Sadia Aktar 
Published: May 2024

Conflicts over rural land have plagued Bangladesh since its independence. Rural land issues continue to remain unresolved, and violence related to land is still on the rise. The investigation of those engaged in these disputes and the dynamics of their relationships, however, has received very little attention. The current study maps those involved in land conflicts and their relational interplay in the context of rural Bangladesh. The study utilizes qualitative method of data collection including KII interviews, focus group discussions, and expert interviews. Through purposive sampling, key informant interviews and focus group discussions involved a group of relevant stakeholders in land conflicts in the study areas who provided needed information, ideas, and insights on land issues in the area. The study finds that the power structure of the village affects benefit distribution and the resolution of land disputes. Local political leaders and "Matbors" have an impact on how disputes are resolved. Law enforcement authorities are ineffective at resolving violent conflicts, and corrupt land office staff are also of no help, prolonging such conflicts. The study suggests holding workshops on empathy-building, digitizing land management, and enhancing the court system to lessen disputes amongst stakeholders in rural Bangladesh.
ABORDAGEM MULTIDISCIPLINAR NO TRATAMENTO DE DOENÇAS CRÔNICA
Authors: Harumi de Castro Shimasak Karine , Faria Mendonça Lunna , Henrique Costa Paulo , de Souza Lopes Rafaela , Silva Martins Raíssa , Botelho Moreira Giovana , Divino de Oliveira Júnior Marcos , Mário Delaiti de Melo José , Gonçalves Rodrigues Bianca , Araujo Xavier Gabrielle , Teodoro Ferro Ferreira Sofia , Cardoso Araujo Jade 
Published: May 2024

Introdução: Sendo uma das principais causas de morte pelo mundo, as doenças crônicas se caracterizam por patologias com desenvolvimento gradual e de longa duração, podendo se estender por cerca de 6 meses ou se perdurar por toda a vida. Classificando-se em transmissíveis, causadas por um agente infeccioso e não transmissíveis frequentemente relacionadas à predisposição genética e estilo de vida. Objetivos: Revisar a abordagem multidisciplinar no tratamento de doenças crônicas. Metodologia: Pesquisa realizada entre abril e maio do ano de 2024, com base em uma revisão integrativa da literatura científica nas bases de dados SciELo e Biblioteca Virtual em Saúde (BVS), utilizando os descritores: "Doenças crônicas" e "Abordagem no tratamento para doenças crônicas". Resultados e discussão: Resultados e discussão: A abordagem multidisciplinar no tratamento de doenças crônicas é fundamental para melhorar os resultados clínicos e a qualidade de vida dos pacientes. A participação de diferentes profissionais de saúde facilita a adesão ao tratamento e reduz maiores complicações. Conclusão: É essencial promover e implementar estratégias que incentivem a colaboração entre diferentes profissionais de saúde no manejo dessas condições, a fim de facilitar o processo do tratamento.
Morphological, Biochemical and Proline-Related Genes Analyses in Resistant and Susceptible Wheat Cultivars in Iraq
Authors: Al-Saadi Waleed K. , Hamdalla Majid Sh. , Aljuaifari Wisam 
Published: May 2024

A high salinity level negatively affects the morpho-physiological parameters of plants. As a result of salinity, these effects are considered crucial signs of plant damage. In this study, ten Iraqi wheat cultivars were examined against two salinity levels (3 and 15 ds m-1) and some morphological, biochemical properties were measured. Also proline-related genes were analyzed using Ilumina RNA sequences and bioinformatics analyses. All cultivars demonstrated a decrease in the studied parameters with an increase saliness. 'Dijlah' cultivar showed best performance salinity stress, while 'Ibaa 99' was sensitive based on morphological and biochemical parameters. The competition was in favor of the sodium ion at the expense of the potassium ion in high salinity conditions. Proline accumulation in wheat blade leaves was about 2.5 times higher at the peak salt level. The transcriptomic analysis was done and the transcripts per million (TPM) values were estimated for some proline genes. The genes of probable proline transporter 2, proline dehydrogenase 2, and GSK-like kinase 1A obtained the higher TPM values in cultivar 'Dijlah' cultivar than in 'Ibaa 99' cultivar. It can be concluded that 'Dijlah' cultivar is a salt tolerant cultivar as compare with the susceptible 'Ibaa 99' cultivar, and their proline accumulation was increased with salinity stress and was related with TPM values. Morphological, biochemical and TPM values would offer a good combined- criteria for recognition the tolerant genotype.
Análisis del Clima Laboral en los Centros Educativos del Distrito 0808 de Licey al Medio, Santiago: Un Enfoque Multidimensional
Authors: Contreras Alcántara Fernando 
Published: May 2024

El estudio analizó el clima laboral en los Centros Educativos del Distrito 0808 desde un enfoque multidimensional, centrándose en comprender y evaluar el ambiente de trabajo en este contexto espacial. Esta aproximación multidimensional abordó diversas facetas del clima laboral, incluyendo el liderazgo institucional, la comunicación, el trabajo en equipo, la satisfacción laboral y el apoyo emocional. La investigación se justificó por la importancia de crear entornos laborales positivos que promuevan el bienestar emocional y el desarrollo profesional del personal en el ámbito educativo, así como la mejora de la calidad educativa. La investigación se basó en un enfoque cuantitativo descriptivo, utilizando el muestreo aleatorio simple (MAS) probabilístico para seleccionar a 332 participantes. Los resultados revelaron que en los centros educativos existe un clima laboral muy positivo. Además, un alto porcentaje de los encuestados consideró que los conflictos que surgen se resuelven de manera eficaz dentro del equipo, y que se sienten valorados tanto por los directivos como por sus compañeros. Estos hallazgos son consistentes con la importancia de promover entornos laborales que fomenten la colaboración, el apoyo mutuo y la comunicación abierta. Asimismo, destacan el papel fundamental del liderazgo institucional en la creación y mantenimiento de un clima laboral positivo, así como el impacto positivo que esto puede tener en la satisfacción laboral y el desempeño del personal.
Modelo Cíclico para para Elaboración de Planes de Seguridad e Higiene Ocupacional en Empresas de la Construcción
Authors: González Panzo Barsimeo , Hernández Osorio Nadia Yasmín , Dolores López Carlos Daniel , Hernández Jiménez José Pascual , Trejo Lozano Rubén 
Published: May 2024

El modelo cíclico para la elaboración de planes de seguridad e higiene ocupacional en empresas de la construcción es un enfoque sistemático que busca garantizar condiciones seguras y saludables en los lugares de trabajo. Este modelo se estructura en un ciclo continuo de cuatro etapas: planificación, implementación, evaluación y mejora. Todo esto, debido a que la seguridad e higiene ocupacional es un elemento fundamental y de vital importancia en las empresas de cualquier tamaño y tipo y por ello en el giro de la construcción es de vital importancia la implementación de estos planes; los cuales buscan mejorar las condiciones de trabajo, a través de estrategias como diagnósticos, planes de capacitación y adiestramientos entre otras para evitar dentro de lo posible, las enfermedades y los accidentes laborales. Una vez que se hizo una prueba piloto la implementación del modelo se propone que sea con un enfoque estratégico desde la alta dirección, iniciando por conocer las diferentes áreas que conformen a la empresa, y las actividades que realizan cada uno de sus empleados, para ello se sugiere familiarizarse con la forma de trabajo de la empresa para la recolección de datos e información, esto con ayuda de herramientas adecuadas por ejemplo, observación directa y check list, para realizar un análisis e interpretación de resultados, priorizando los riesgos de higiene y seguridad identificados y de acuerdo a una matriz de valoración de riesgos, determinar la situación real e ideal en la que se encuentra la empresa con base en la seguridad de los empleados, con el fin de elaborar un plan ideal acorde al contexto de la empresa, en el que se prioricen los riesgos identificados, dando pronta solución, mejorando el nivel de higiene y seguridad. Como ya se había mencionado el modelo cíclico para la elaboración de planes de seguridad e higiene ocupacional en empresas de la construcción es un enfoque integral que permite identificar, prevenir y abordar los riesgos laborales de manera continua y sistemática. Al seguir este modelo, las empresas pueden garantizar un entorno de trabajo seguro y saludable para sus empleados, reduciendo así el riesgo de accidentes y lesiones en el lugar de trabajo.
Impact of a shorter university week on academic performance and study–life balance of dental students
Authors: Gaballah Kamis , El Kishawi Mohamed , Ibrahim Eteman , Al Kawas Sausan 
Published: May 2024

Background:
The 4-day workweek is gaining traction as a credible and effective alternative to conventional 5-day workweek. We aimed to investigate the impact of a 4-day workweek on dental students’ academic performance and study–life balance.

Methods:
A total of 284 dental students participated in answering an electronic questionnaire. The response scores, mean values, and standard deviations were calculated. Internal consistency and associations between the scores were tested. Differences in responses between preclinical and clinical year students were evaluated. SPSS was used for data analysis, with a significance set at P < 0.05.

Results:
A total of 246 students reported satisfactory experiences with the new 4-day university week. The majority preferred to continue with the short-week scheme. There were no statistically significant differences between preclinical- and clinical-level scores. A total of 73.3% of the students reported an increase in patient treatment and clinical procedures compared to the previous year with a 5-day schedule. Most students were satisfied with their weekly workload. They reported a significant improvement in clinical performance with the new weekly plan. Introducing a 4-day university week helped 76% of students reduce the cost of attending college.

Conclusion:
The introduction of the 4-day study week at the College of Dental Medicine was welcomed by students across all years of the program due to the improved academic achievement and clinical training opportunities it provided. They were also satisfied with the longer weekend, as it helped them relieve stress, prepare better for examinations, and spend more time with their family and friends.
Tamsulosin: An unthinkable cause of priapism
Authors: Mishra Anurag , Jana Atanu 
Published: May 2024

Abstract
Priapism is the full or partial erection that continues for more than 4 h beyond sexual stimulation and orgasm or is unrelated to sexual stimulations. Most commonly, it is idiopathic in nature. Few drugs are also associated with priapism. Here, we are presenting a case report of tamsulosin-associated priapism in 36-year-old men.
Management of foreign body ingestion in pediatric population: A single-center study
Authors: Ghosh Arindam , Pal Sujay , Das Debjani , Sasmal Debojyoti , Patra Rishavdeb , Sarkar Ruchirendu 
Published: May 2024

Abstract

Background:
Children of all ages may ingest a foreign body (FB). Most (>95%) of ingestions are accidental. Gastrointestinal tract obstruction or impaction by a FB depends on the physical properties of the object such as size, shape, and composition. The majority of ingested FBs are low-risk objects and can be managed without imaging or intervention where as high-risk objects and symptomatic children may require careful observation and surgical intervention. The aim of our study is to discuss our experience of management of FB ingestion in children in IPGME&R and SSKM Hospital, a tertiary care centre and to identify the high-risk FBs ingested and discuss the symptoms where conservative managements can be done even in sharp objects.

Materials and Methods:
This observational single institute-based study was conducted in the Department of Pediatric Surgery in IPGME&R and SSKM Hospital and data were collected and analyzed statistically.

Results:
A total of 84 patients came with ingested FBs (Boy – 59 and Girl – 29) and 22 were sharp FBs. Among nonsharp FBs, coins are most common 40 (47.6% of all FBs). Most of them were asymptomatic 75 (89.3%) and among all four required surgical intervention and eight were removed by endoscopy. In 72 patients, no intervention was required for FB ingestion including 16 sharp objects.

Conclusion:
Most of the ingested FBs are expelled through stool spontaneously. Nonsharp FBs such as magnets and button battery large size are high-risk objects and require active surgical intervention and sharp FBs need very much careful observation after admission and very few requires surgical intervention. Endoscopic removal is indicated in some early cases.