bluuebunny/crossref_metadata_2025_split huggingface dataset:
Recent Advances in Reproductive Endocrinology: Implications for Fertility Treatment in Gynecology
Authors: Manisha laddad Et al. 
Published: February 2024

Within gynaecology, reproductive endocrinology is a crucial field that orchestrates complex hormonal systems that impact fertility outcomes. The purpose of this study is to examine the latest developments in reproductive endocrinology and how they may improve fertility therapies. Significant advancements have been achieved in reproductive medicine over the last ten years in a number of areas, including ovarian stimulation, assisted reproductive technologies (ART), hormone regulation, endocrine problem management, and future possibilities for clinical practice.
Technological developments in ovarian stimulation regimens and pharmaceuticals have transformed assisted reproduction by providing customised methods for maximising ovarian response and reducing side effects. enhanced oocyte yields and embryo quality are showing encouraging results from new stimulation regimens and enhanced gonadotropin formulations. In addition, advances in artificial reproductive technologies (ART) like time-lapse imaging and longer culture systems have improved embryo selection strategies, resulting in fewer multiple pregnancies and greater implantation rates.
Strategies for hormonal regulation that are tailored to each individual's profile have been shown to significantly improve the results of conception. Accurate ovarian stimulation and higher response rates are made possible by biomarker-guided methods that use gonadotropin-releasing hormone (GnRH) and anti-Müllerian hormone (AMH) analogues. Furthermore, current practices emphasise specialised treatments to lessen the influence of endocrine diseases on fertility, such as endometriosis, thyroid dysregulations, and polycystic ovarian syndrome (PCOS).
Future directions are also considered in the study, including the integration of precision medicine, advancements in fertility preservation, ethical considerations, and the critical need for interdisciplinary cooperation. The use of AI technology, patient-centered care, and genetic profiling signals a revolutionary change towards customised reproductive therapies. To maintain fair access and moral practice in reproductive endocrinology, it is imperative that the field's ethical, legal, and social ramifications be recognised and addressed as it develops.
Survey of Applications of Ml in Stress Detection
Authors: Prachi S Ramteke Et al. 
Published: February 2024

Stress is a common and pervasive issue that affects millions of people worldwide. It can lead to a variety of negative health outcomes, including anxiety, depression, and physical health problems. Early detection of stress is crucial for effective management and prevention of these negative outcomes. Stress detection technologies using machine learning algorithms can provide individuals with valuable information about their stress levels and help them manage their stress in more effective ways. This can lead to improved mental and physical health outcomes, as well as increased productivity and overall well-being. Therefore, stress detection is an important area of research that has the potential to positively impact the lives of many people.
This paper presents a survey of techniques applicable to the field of stress detection using machine learning (ML) algorithms. We categorize these techniques based on the approach they take and discuss various challenges, open questions, and future work in this area. We present a taxonomy of existing research and finally discuss gaps and future directions of research to advance the study of stress management using most recent ML techniques. These technologies
provide individuals with valuable information about their stress levels and can help them manage their stress in more effective ways.
Comparison of Regression Algorithms for Predicting Students' Academic Performance
Authors: Mamta Saxena Et al. 
Published: February 2024

In recent years, higher education has reached the peak level in growth. Many Universities, educational institutes and colleges are being set up at private level and public level for the growth of the education sector and for the well being of students [1]. Each of the institutions aims at providing higher knowledge to the students by grooming their faculties and implementing best teaching and educational practices. But still the problem persists as most of the students are at risk of unemployment due to poor academic performance. DM techniques can be used to analyse vast quantity of data that is readily available in bulk, extract usable knowledge, and help decision-making in order to forecast the academic success of students. [2].
The amount of data present in the education sector is examined, and by extracting the data from it, beneficial patterns are found. This is known as educational data mining. This paper discusses numerous regression techniques that can be used in educational institutions to forecast students' academic achievement. To forecast student performance, regression techniques such as Bayesian networks and decision trees can be used. Applications of the CART, J48, Random Forest, and ID3 decision tree algorithms are made to undergraduate student data obtained from private colleges in order to forecast how well they will perform on the final exam of the semester and determine whether or not they will be promoted for the following year. [3].
Case Study on Early-Stage Risk Prediction by Machine Learning Algorithms
Authors: T. Deepthi Et al. 
Published: February 2024

In the healthcare sector, we generally require continuous monitoring of the patient, The model is designed to assist patients in understanding the potential hazards associated with the infectious illness by using Machine Learning algorithms. It provides recommendations as per the infection severity, enabling patients to effectively monitor their condition independently. All the data records are initialized in the dataset, these are stored in the database which helps in more accuracy of illness prediction. This software interface is simple, based on symptoms of the patient the algorithms will process and gives appropriate infection details, suggestions on severity of infection, recommends to consult a doctor or not. It also ensures the seasonal diseases ongoing in particular areas, identifies them, and gives regular alerts to the users. Non-Communicable Diseases (NCDs) are currently causing more infections are highlighted, and alerts the user by giving information and precautions to be taken for improvement of health. Predictive models and classification algorithms, examine the symptoms specified by the patient as input. Then the most possible disease name will be displayed as an output. Decision Tree, Naive Bayes Classifier, and Random Forest Algorithm are used to forecast the disease. Disease prediction is accomplished by employing ML Algorithms.
Security Framework for IoT Implementing Random Forest Classifier
Authors: Raju Ch Et al. 
Published: February 2024

The Internet of Things will become commonplace by making global connections possible at any moment. The necessity of well-thought-out, carefully implemented, and strictly enforced security standards over the entire lifecycle of IoT devices cannot be overstated.The Internet of Things (IoT) is a relatively new phenomenon that connects disparate computing infrastructures and infrastructure components. Given that the vast majority of the data collected will be shared with an unknowable audience, security is of paramount importance when connecting multiple independent IoT units across the Internet. This article provides a comprehensive review of the state of security in the Internet of Things.The essay emphasizes the necessity to provide security in the device itself alongside conventional security solutions to offer a method employing machine learning exible for preventing, detecting, diagnosing, isolating, and counteracting successful breaches.The bulk of IoT end hosts are low-end devices, This means that many common security practices cannot be used to protect IoTdevices., leaving IoT services and the wider Internet vulnerable to attacks and exploits.To solve this problem, this article presents a unified IoT framework that employs machine learning to implementthe proposed GNRS&NC architecture. This framework's primary goal is to ensure the safety of IoT devices.The framework makes use of random forest classifier. The suggested architecture allows for the seamless incorporation of regional IoT infrastructures into global frameworks without compromising on usability, interoperability, or security.
A comparison of the efficacy of a probiotic toothpaste, a fluoridated toothpaste in management of Streptococci mutans in plaque around orthodontic brackets- An in vivo study
Authors: Bolya Piyush , Mutha Animesh , Nagora Archana , Sharma Rituraj , Choudhary Sushil 
Published: February 2024

The objective of study was to evaluate and compare the efficacy of Probiotic toothpaste, fluoridated toothpaste and non-fluoridated toothpaste (control) on the levels in the plaque surrounding orthodontic brackets. The randomly selected patients are divided into 3 groups (20 each) on the basis of type of toothpaste given to them. The patients in groups were asked to brush twice daily with given toothpastes and to discontinue using their normal toothpaste. Plaque specimens were collected from the labial surfaces immediately surrounding the orthodontic brackets of the maxillary lateral incisors by four passes, each along the tooth at the bracket inter-face at the gingival, mesial, distal, and occlusal aspects. The isolated plaque is sent to Microbiology laboratory soon after collecting in a sterile container. The presence of was evaluated in colony forming unit through culture formation and statistical analysis was performed, and comparisons were made. After one month application of a probiotic containing toothpaste (group 3), a fluoridated containing toothpaste (group 2) and a non-fluoridated toothpaste(group 1) the level of significantly reduced in group 2 (non-fluoridated toothpaste) and group3 (Probiotic toothpaste) & minimal reduction is shown in gruop 1. Conclusion: The use of probiotic toothpaste causes a significant decrease in the levels in the plaque around orthodontic brackets in orthodontic patients.
To identify anatomic relationship between central incisor roots and alveolar bone thickness in individuals with variable sagittal malocclusions
Authors: Anupama  , Goyal Merry , Mittal Sanjay , Aggarwal Isha , Vishavkarma Pallavi 
Published: February 2024

The predisposition of central-incisors and its association with alveolar bone in surrounding area required assessment before any decision for treatment which involves anteroposterior (AP) movement of incisor inside the jaws. To identify anatomic relationship between central incisor roots and alveolar bone thickness in individuals with variable sagittal malocclusions and to also correlate if any sexual dimorphism among samples. The present study was conducted on 100 pre-treatment lateral cephalograms of young adult patients aged 15 to 30 years. They were divided into 2 groups on the basis of Angle’s system of classification as Class I and Class II with 50 subjects each group. patients were selected from the pool of patients who reported to All the lateral cephalograms were hand traced by same operator and tracings included mandibular symphysis, 1 molar central incisors, the OP, incisal edges, root apices, incisor long axes, upper incisor CEJ and upper incisor root midpoint. Various parameters were then measured for both the groups. All data were analysed using the Statistical Package for the Social Sciences software (SPSS version 24.0 Inc, Chicago, IL, USA. Independent sample t-test was used to determine possible statistically significant differences between the Class I and Class II for various parameters. U1-lab was statistically significant increased value in Class I sample, Where as L1-ling was statistically significant increased value in Class II sample. A very small but significant difference was found for the mandibular alveolar bone thickness in males and females in both Class I and Class II samples. A significant variance between alveolar (AV) process of class II and Class I occlusion. There was also a significant variation in males and females of the sample group.
Time-dependent force depreciation of intraoral orthodontic elastics of variable force and lumen sizes – An in vitro study
Authors: Raza Monis , Sethi Mridu , Kumar Piush , Sharma Payal , Shahi Ankit Kumar 
Published: February 2024

: To evaluate force decay of elastics of different dimensions and different force values over 48-hours.Steps included extension and immersion of elastics in artificial saliva and measurement of force levels at a specified point of time. A model with vertical pins placed at in the oral cavity. The initial force measurement was done using Universal testing machine before the elastics were engaged onto the pins 37⁰C in artificial saliva. The reading was taken after this in the Universal testing machine for the samples. The elastics were then placed back into the static simulation for the next 23 hours and again into the dynamic simulation for the next 1 hour. Statistically significant difference (P&#60;0.05) was observed between force depreciation between rest and maximum stretch of the elastic. Statistically significant difference was observed in force depreciation with varying time intervals of a particular elastic sample. Lumen size and pre-determined force values affect the overall force decrease pattern of elastics. Elastics with higher force and smaller lumen size show comparatively higher loss of force than the lighter elastics with larger internal diameter. The maximum force loss of a particular elastic happens within the first 24 hours of elastic stretch. The study would help provide information about how an elastic's lumen size and initial force are interdependent, giving clinicians a better understanding of how to prescribe the right elastics for the force they need to apply for treatment.
BARRIERS ASSOCIATED WITH INACCESSIBLE MENTAL HEALTH SERVICES FOR YOUTH REFUGEES AND ASYLUM SEEKERS: AN INTEGRATIVE REVIEW
Authors: Barbo Geneveave , Petrucka Pammla 
Published: February 2024

Youth refugees and asylum seekers are vulnerable to mental health conditions. Although their mental health needs are well documented, evidence reveals that they are underutilizing mental health services. This integrative literature review aims to examine the evidence on barriers to mental health access experienced by youth refugees and asylum seekers, determine the literature gaps, and identify the future direction of research in the field. Academic databases, such as CINAHL, OVID MEDLINE (R), PsycINFO, EMBASE, and Web of Science, as well as grey literature, were used to identify eligible articles. A total of 29 articles were included in this review. Our findings revealed 5 major themes: (a) approachability and ability to perceive; (b) acceptability and ability to seek; (c) availability, accommodation, and ability to reach; (d) affordability and ability to pay; and (e) appropriateness and ability to engage. These findings can assist multiple stakeholders in improving mental health access, quality, and provision.
Home-Garden Production and Women Dietary Diversity: An Experience from Success of Micro-Intervention in Boru Meda Kebele, Ethiopia
Authors: Mohammed Jemal Abdulkerime , Mulat Asegie Asrat 
Published: February 2024

Background: In order to combat malnutrition and micronutrient deficiencies, Nutrition Sensitive Agriculture (NSA) gives nutrient-dense foods, dietary diversity, and food fortification the highest priority. This micro-intervention project's goal is to increase home-gardening system's contribution to raising women's dietary diversity score (WDDS) by diversifying family farming practices. Methods: In Ethiopia's Boru-Meda Kebele, The authors applied the intervention to 40 specifically chosen female beneficiaries between the ages of 15 and 49. FAO's standardized questionnaire was used as a tool to conduct an initial and end-line dietary diversity survey by giving careful consideration to cultural and religious elements. The qualitative information was also gathered using case studies, key informant interviews, and focus group discussions. Results: The local population's diet was dominated by staple cereal crops, and women were less knowledgeable about home gardening and diverse diets. Before intervention, the average number of food groups produced and consumed was 2.63±1.00 and 3.68±1.16 respectively. The intervention enhanced the WDDS to 6.13±0.76, and the production diversity to 5.63±0.90. The intervention changed the community's consumption and production patterns, especially among women. Conclusion: Home-garden agriculture helps to increase WDDS. As a result, development partners must concentrate on farming system diversification by increasing the accessibility of vegetable seeds and educating local farmers about the contribution of diversified vegetable production and consumption. Strengthening the cooperation among stakeholders and maintaining monitoring of activities should also be given due emphasis.
Universidade Federal do Sul da Bahia
Authors: Borba Renata Ribeiro , Ferraz Marcelo Inácio  Ferreira , Pinheiro Lessí Inês Farias 
Published: February 2024

A Universidade Nova trata-se de uma proposta de reformulação acadêmica do nível superior inspirada nas ideias “anisianas” e reformas de amplitude mundial. Integra, atualmente, estruturas acadêmicas de algumas universidades públicas brasileiras, através da oferta de cursos interdisciplinares de formação geral, por exemplo. Assim, este artigo traz um levantamento teórico quanto ao panorama mundial no que se diz respeito às reformulações que marcaram esta instituição – a universidade – e também a abordagem em âmbito nacional. A partir da explanação temporal compreende-se o surgimento da Universidade Nova e certifica-se que a estrutura acadêmica da Universidade Federal do Sul da Bahia, desde a sua origem, molda-se nesta filosofia, pois implementa como um de seus mecanismos a formação em ciclos e a interdisciplinaridade.
OSMANLI’DA HASTA ROLÜ, HASTA TALEPLERİ VE BÜROKRASİ (19. YÜZYIL)
Authors: KILIÇ Rüya 
Published: February 2024

Bu çalışmada, 19. yüzyıl Osmanlı toplumunda hasta ve yakınlarının verdiği dilekçelerde dile getirilen talepler ile bürokratik makamların bu taleplere verdiği cevaplar ele alınmaktadır. İnsan, sağlık sebebiyle en temel ihtiyaçlar bakımından başkasına geçici veya kalıcı olarak bağımlı hâle gelebildiği gibi bazı sorumluluklardan da kurtulabilir. Sorumluluktan kurtulma talebi, özellikle devlet kurumlarında çalışan kimseler için resmî olarak dile getirilmesi gereken bir süreçtir. Bu süreç, birtakım yazışmalar sebebiyle kayda geçtiğinden yazışmalar veya talepler günümüze veri olarak intikal eder. Devlet kurumlarında çalışan kimselerin sağlık sebebiyle sunduğu yazılı taleplere yönetici makamdan da cevap gelir. Bu da bize, bürokratik mekanizmanın hasta ve hastalık durumu karşısındaki tutumunu değerlendirme fırsatı verir.
Osmanlı arşivlerinde, hasta talepleri ve bunlara verilen cevapları içeren çok sayıda belge bulunmaktadır. Bu çalışmanın dayandığı belge grubu, hastaların hastalıkla başa çıkma çabaları ile bürokratik makamların hasta taleplerine verdikleri idari tepkileri birlikte görme imkânı sağlamaktadır. Bu sürece doğrudan veya dolaylı olarak hasta yakınları da dâhil olmaktadır. Böylece hasta, hasta yakını ve yetkili merciler arasında yürütülen yazışmalar üzerinden hastaların hastalıkla baş etme çabaları tespit edildiği gibi, hastalık vesilesiyle yapılan idari işlemler de takip edilebilmektedir. Süreç; merhamet, hak ediş, hastalık bahanesi, sorumluluk ve meşruiyet açılarından işlemektedir. Bu sebeple, bireysel hasta tecrübeleri ve buna dayalı bütün süreçleri yansıtması bakımından, çalışmanın kurgusunu tek tek hikâyeler üzerinden oluşturmayı yöntem olarak tercih ettik. Birbirinden farklı her bir özel hikâyenin bizi, genel bir tutum, anlayış ve yaklaşıma götürmesini; bu genel tabloya dayalı olarak da hasta rolü, talepleri ve bürokratik uygulamalar üzerine bir değerlendirme yapmaya sevk etmesini umduk.
Efektivitas Bubuk Kayu Manis (Cinnamommum Burmanii) Untuk Pengendalian Lalat Rumah (Musca Domestica)
Authors: Mohamad Sri Wahyunita , Boekoesoe Linjte , Ayini Nur , Pratama Yanasta Yudo , Machfud Achmad Ali 
Published: February 2024

Latar Belakang: Lalat rumah (Musca domestica) merupakan salah satu vektor yang banyak di Indonesia, dan cara penularannya yang sangat sederhana dan terjadi secara mekanis. Di mana lalat rumah ini menyebarkan parasit melalui kontak langsung dengan Host tanpa disertai Perkembangbiakan parasit dalam tubuh lalat tersebut. Insektisida alami salah satu cara mengendalikan Lalat rumah menggunakan Kayu manis
Tujuan: Penelitian ini bertujuan untuk mengetahui Efektivitas Bubuk Kayu manis (Cinammomum burmanii) pada Konsentrasi 8%, 10%, 12% dengan waktu pengamatan setelah 1x24 jam.
Metode: Penelitian ini menggunakan metode Eksperimental Murni dengan Rancangan Acak Lengkap (RAL). Sampel penelitian sejumlah 45 ekor lalat rumah dengan 5 lalat rumah pada masing-masing kosnentrasi yang digunakan yaitu 8%, 10%, dan 12% dengan 3 kali pengulangan diamati setelah 1x24 jam.
Hasil: Jumlah kematian lalat rumah pada konsentrasi 8 persen saringan bubuk kayu manis dengan pengulangan:jumlah ekor yang mati yakni (I: 1 ekor; II: 1 ekor; III: 2 ekor) dengan persentase kematian lalat 26%, sedangkan pada konsentrasi 10% dengan pengulangan:jumlah ekor yang mati (I: 3 ekor; II: 3 ekor; III: 4 ekor), serta pada konsentrasi 12% dengan pengulangan:jumlah ekor yang mati yakni (I:5 ekor; II:4 ekor; III:5 ekor). Hasil uji One-Way ANOVA menunjukkan nilai signifikansinya 0,001 (p-value <0,05), yaitu dan konsentrasi yang paling efektif pada bubuk kayu manis untuk pengendalian lalat rumah yaitu pada konsentrasi 12%
Simpulan: Saringan bubuk kayu manis (Cinammomum burmani) efektif untuk pengendalian lalat rumah (Musca domestica). Konsentrasi bubuk kayu manis untuk pengendalian lalat rumah yang paling efektif adalah 12%
Microlearning Pada Pembelajaran Refraksi di Akademi Refraksi Optisi Kartika Indera Persada
Authors: Sahel Sahel , Haryanti Suci , Kartikawati Atti 
Published: February 2024

Pembelajaran abad 21 yang diimplementasikan dengan pembelajaran yang memudahkan peserta didik dalam belajar adalah dengan microlearnig yang berupa video pembelajaran dan tujuan pembelajaran lebih menyenangkan dan memudah mahasiswa dalam memahami pembelajaran Refraksi. Dengan metode penelitian ADDIE lima tahap yaitu: (1)Analysis, (2)Design, (3)Development,(4)Implementation, (5) dan Evaluation. Untuk tahap uji kelayakan adalah ahli materi mempunyai rata-rata 95% dan ahli media 84% dari sisi media sudah layak untuk digunakan. Begitu pun dengan hasil uji efektivitas atau evaluasi dari media yang digunakan sudah layak digunakan yaitu one to one, uji kelompok kecil dan kelompok besar sebesar 94%.

Abstract
21st century learning that is implemented with learning that makes it easier for students to learn is by microlearning in the form of learning videos and learning objectives that are more fun and easier for students to understand Refraction learning. With the ADDIE research method five stages, namely: (1) Analysis, (2) Design, (3) Development, (4) Implementation, (5) and Evaluation. For the feasibility test stage, material experts have an average of 95% and media experts 84% from the media side are suitable for use. Likewise, the results of the effectiveness test or evaluation of the media used are suitable for use, namely one to one, small group and large group tests by 94%.