bluuebunny/crossref_metadata_2025 huggingface dataset:
Own Experience of Using Next-Generation Sequencing in the Diagnosis of BRCA-Associated Breast Cancer
Authors: Aristov R. А. , Dorofeev A. V. , Demidov D. A. , Tsaur G. А. , Magdalyanova M. I. , Petkau V. V.
Published: September 2024

Introduction. Breast cancer systematically occupies a leading place among cancer incidence in Russia. Moreover, hereditary forms of tumors occur in 2–8 % of patients. Almost 30 % are associated with pathogenic variants in the BRCA1/2 genes. Since the beginning of 2023, patients with BRCA-associated breast cancer at the Sverdlovsk Regional Oncology Center have been examined using next-generation (NGS) sequencing to carry out the necessary preventive, diagnostic and treating measures.

The purpose of the study was to evaluate the effectiveness of next-generation sequencing in comparison with polymerase chain reaction (PCR) tests and to assess the relevance of the existing PCR panel.

Materials and methods. This work is based on an analysis of the results of molecular genetic testing of 132 breast cancer patients aged 29 to 66 years. Firstly, the biological material of all patients was tested using the polymerase chain reaction in real time method to search for frequent pathogenic variants. If the result was negative, patients were referred for a study using next-generation sequencing to look for rare variants.

Results and discussions. A study of common pathogenic variants of the BRCA1/2 genes using real-time PCR showed the presence of “founder mutations” in 3.0 % of patients. The search for rare pathogenic germline variants using NGS made it possible to identify pathogenic gene variants in another 25 patients (18.9 % of examined).

Conclusion. Taking into account the more aggressive course of hereditary forms of breast cancer, the early age of manifestation of the disease, a lot of rare mutations in the Sverdlovsk region and high probability of transmitting them to children, it is necessary to develop follow-up programs of relatives for the purpose of timely diagnosis and treatment.
Pregnancy-Associated Breast Cancer
Authors: Kiselyova K. E. , Petkau V. V. , Ankudinov N. O. , Dorofeev A. V. , Efremov S. A.
Published: September 2024

Introduction. Currently, there is an increase in the incidence of breast cancer during pregnancy, which is likely due to the trend toward increasing age at childbirth. The incidence rate of pregnancy-associated breast cancer ranges from 17.5 to 39.9 per 100,000 births.

The purpose of our study is to identify distinctive characteristics, evaluate disease-free survival (RFS) and overall survival (OS) in a group of patients with pregnancy-associated breast cancer.

Materials and methods. The results of treatment of 68 patients diagnosed with breast cancer detected during pregnancy or within 12 months after childbirth were analyzed. As a comparison group, the results of treatment of 165 patients aged from 20 to 45 years were analyzed.

Results. When comparing the histological types of tumors in the group of pregnancy-associated malignancies, statistically significant differences were observed in the group of triple negative subtypes. However, there were no differences in long-term survival between groups.

Conclusions. The most common histological subtype in breast cancer associated with pregnancy is triple negative, while luminal subtypes are less common than in the general population. There is a tendency to detect cancer in pregnant women at later stages. The effect of pregnancy on OS is currently not fully understood and additional research is required on pregnancy as an unfavorable prognostic factor.
Effects of Neoadjuvant Chemotherapy on Reccurent Survival in Stomach Cancer
Authors: Krasilnikova N. E. , Kiselev E. A.
Published: September 2024

Introduction. Integrated approach — modern standard of treatment of stomach cancer. At the same time, it is necessary to assess the influence of chemotherapy on the pre-operative stage to the distant results of treatment in real practice.

The purpose of the study — determine the impact of neoadjuvant chemotherapy on patient survival.

Material and methods. A retrospective study of 612 patients receiving neoadjuvant chemotherapy in the conditions of Sverdlovsk Regional Oncological Center was conducted from January 2021 to December 2023.

Results and discussion. The study found that neoadjuvant chemotherapy does not affect overall survival and diseasefree overall survival compared to adjuvant, does not increase the risk of postoperative complications and mortality. Findings suggest that more careful selection of patients is needed who require neoadjuvant chemotherapy, taking into account the somatic status associated with associated pathology.

Conclusion. Based on our findings, we can state that neoadjuvant chemotherapy as part of perioperative chemotherapy is the standard of patient treatment of gastric cancer II–III stage.
Exploring Applied Nonlinear Analysis and Machine Learning in The Evolution of Blockchain Technology
Authors: Neelima Priyanka Nutulapati
Published: September 2024

Blockchain technology is developing quickly, hence its application in data storage for healthcare presents a good way to increase data security and integrity. Blockchain's distributed nature and unchangeable ledger's character help to guard confidential medical records. Still, ensuring resilience and optimizing performance depend on the incorporation of innovative analytical methods. For current blockchain solutions for storing of healthcare data, efficiency of data retrieval and transaction security creates challenges. Big datasets are challenging for conventional methods, which also provide consistent access control. This work explores potential solutions for these issues by means of blockchain technology and Support Vector Machines (SVM) integration. Nonlinear analysis helps to improve blockchain system data classification and retrieval. The proposed method consists in preprocessing healthcare data, training an SVM model to recognize and anticipate access patterns, and embedding these predictions into blockchain transactions to maximize data storage and retrieval operations. Blockchain technology helped the SVM considerably increase data retrieval security and efficiency. Numerical testing reveal a 20% increase in retrieval speed and a 15% decrease in undesired access attempts, compared to standard methods. With 92% of SVM-based classification accuracy, access control systems become far more effective.
On Primitive Ternary Г-Semirings
Authors: K. Maha lakshmi
Published: September 2024

Subsequent to presenting the thoughts of primitive Ternary Г-semi ring along with primitive ideal of a Г-semi ring we concentrate on them through operator semi ring and get a few outcomes similar to those of semi ring hypothesis.
TPACK and EdTech Integration in Teaching and Learning Process: A Systematic Literature Review (2014-2024)
Authors: Wang Lixia
Published: September 2024

This systematic literature review aims to identify the relationship between Technological Pedagogical Content Knowledge (TPACK) and the integration of Educational Technology (EdTech) for facilitating teaching and learning. A search of the SCOPUS and Web of Science databases yielded 1711 and 18 articles, respectively. Following PRISMA 2020 guidelines, 151 studies published between 2014 and 2024 were included in the final analysis. Five major driving factors underpinning EdTech integration were identified: the relationship between TPACK and EdTech integration, the impact of teacher experience and professional development, the role of contextual factors, emerging trends in EdTech integration, and limitations and future research directions. The review found that teacher TPACK proficiency is strongly related to effective EdTech integration, enhancing student engagement, motivation, and learning outcomes. However, the effectiveness of EdTech integration is significantly influenced by contextual factors such as teacher experience, access to technology, school policies, and learner needs. The rise of mobile learning, artificial intelligence, and the COVID-19 pandemic has also impacted the overall landscape of EdTech integration, presenting both opportunities and challenges. The review emphasizes the need for more robust tools and methods to operationalize TPACK, a better understanding of technology leadership, and strategies to address the digital divide. It provides a nuanced understanding of the complex relationship between TPACK and EdTech integration, offering valuable insights for policymakers, educators, and researchers aiming to optimize technology-enhanced learning experiences.
A Mathematical Framework for Enhancing IOT Security in VANETs: Optimizing Intrusion Detection Systems through Machine Learning Algorithms
Authors: Divya Mishra
Published: September 2024

Vehicular Ad Hoc Networks (VANETs) are of paramount importance to enable secure transportation, a requirement in smart city concepts because security threats can have catastrophic consequences on road safety. To mitigate this issue, authors supervised an efficient mathematical approach in form of IDS with a set of machine-learning algorithms for effective intrusion detection mechanism which secures the VANET environment especially when it comes to IoT security. To improve the accuracy and efficiency of intrusion detection a system is proposed that combines intelligence optimization algorithm such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Ant Colony Optimization, along with Support Vector Machine (SVM) based Intrusion Detection System (IDS).The system will be assessed through the NSL-KDD dataset — a popular intrusion detection dataset that contains realistic network traffic data. This paper will benchmark the performance of three optimization algorithms based on their capabilities to optimize the accuracy of Support Vector Machines (SVM) classifier in attack types detection, including Denial-of-Service (DoS), Probing, Unauthorized Access via Remote to Local System Administrator privilege (U2R), and Unauthorized access from a remote machine (R2L). This holistic view attempts to establish an IDS that is more robust and dynamic in its architecture, such that it can effectively detect security threats while providing solutions within VANETs promoting IoT security for smart transportation.
Integrating Cryptographic Techniques with Machine Learning Algorithms for Enhanced Data Privacy and Information Security: A Mathematical Framework
Authors: J Merlin Florrence
Published: September 2024

Including machine learning in cryptographic schemes, notably homomorphic encryption(HE), is one prominent research direction that might hold the key to maintaining higher levels of data privacy and information security. However, almost all traditional data encryption models expect the payload to be decrypted first before any processing can take place. Such an additional decryption layer is a backdoor waiting to be breached — especially for industries, such as healthcare that have information safeguarding mandates related to sensitive data. The reports further point out that traditional cryptographic mechanisms are not adequate and hence suggest the use of lightweight cryptography in order to secure healthcare IoT enabled devices, as it trades off security with resource constraints associated with this class of small commodity sensors. HE allows encrypted data to be computed on without having to decrypt it, impede throughout processing from the sensitive. This is particularly the case in healthcare where Patient Health Records should naturally be kept private. While SVM and Random Forest are other family members of ML algorithms that can be used in HE area for a specific task like seizure detection or alcoholic predisposition from EEG signals as explored by this study. What these figures evidence are that the predictions on plaintext of data is almost as good and more often than not quicker, but computations involving encrypted date can be computationally expensive. This demonstrates the potential for privacy-preserving machine-learning applications, especially in healthcare systems such as implemented by this end-to-end so… Future work needs to look into integrating HE with DL methods for high-level data analysis and designing practical ML algorithms that can be deployed on resource limited IoT devices.
Analyzing SBI Share Price Volatility: A Novel Mathematical Exploration with the Markovian Model
Authors: A. Manickam
Published: September 2024

By transferring inactive cash from surplus to deficit units in the economy, the stock market plays a significant part in facilitating financial transactions in developing as well as developed nations. Stock market forecasting is observed as one of the most difficult undertakings in today's financial sector. As a result, much emphasis has been placed on scrutiny and prediction of future standards and performance of the financial time series. Business cycles, interest rates, monetary policy, general economic conditions, traders' expectations, political events, and so on influence the stock market. Academic studies show that market price fluctuations are not random, but rather follow a highly non-linear, dynamic pattern. The aim of this written paper is to use a Markov model to detect volatility in SBI share prices. Markov chains are commonly used to describe a wide range of real-world scenarios including randomness. They are used in a variety of sectors, ranging from search engine page ranking to the investigation of genetics in biology. They are frequently used throughout the finance and economics fields to describe unpredictability and anticipate the value of assets in addition to the changes in macroeconomic circumstances such as recession and expansion cycles.
Radiative Maxwell Nanofluid Flow over a Stretching Sheet Undergoing a Chemical Reaction
Authors: Padmini
Published: September 2024

Heat and mass transform properties of a 2-D electrically conducting incompressible Maxwell fluid over a stretching sheet were explored in presence of thermal radiation, heat generation/absorption, and chemical reactions. A numerical study of heat and mass transform processes occurring over stretching sheet is performed. Governing boundary layer equations for momentum, energy, & concentration are transformed into set of related ordinary differential equations using a stream function formulation. Then, using the BVP4C method, resultant nonlinear ordinary differential equations are numerically solved. Important research data are shown both graphically, including velocity, Lewis number (Le), Brownian motion parameter (Nb), concentration profiles, local skin friction coefficient, and rates of heat and mass transfer. Impacts of parameters across stretching surface, such as Maxwell parameter (k0), magnetic parameter (M), Biot number (Bi), elastic parameter (λ), Brownian motion parameter (Nt), and radiation parameter (Nr), are also investigated by numerical analysis in this study.
Enhancing Ransomware Detection in Cybersecurity: A Comprehensive Ensemble Approach
Authors: Sharath Kumar D R V A
Published: September 2024

Ransomware has emerged as a significant cybersecurity threat, targeting individuals, businesses, and even governmental organizations, causing substantial financial losses and data breaches. Detecting ransomware attacks promptly is crucial for mitigating their impact, necessitating effective detection methods. One such approach is the use of ensemble methods, which combine multiple base classifiers to enhance predictive performance. Ensemble methods like Adaptive Boosting (AdaBoost), Random Forest (RF), and Naïve Bayes (NB) have shown promise in ransomware detection. AdaBoost iteratively adjusts the weights of misclassified instances to improve classification accuracy. RF constructs multiple decision trees and aggregates their predictions to form a more robust model. NB is a probabilistic classifier that assumes feature independence and is based on the Bayes theorem. The UGRansome dataset serves as a benchmark for evaluating ransomware detection algorithms. This dataset contains samples of ransomware and benign files, facilitating the training and testing of machine learning models. To evaluate effectiveness of the proposed ensemble method framework, various evaluation metrics such as accuracy, precision, recall, F1 score, and ROC curve analysis are employed. Experimental results on the UGRansome dataset demonstrate the effectiveness of the ensemble-learning approach, achieving a classification accuracy of 96%. By leveraging the strengths of multiple base classifiers, the ensemble approach enhances detection capabilities, contributing to more robust cybersecurity defenses against ransomware threats.
Empowering Women through Entrepreneurship: Case Studies from Developing Economies
Authors: Prithu Sarkar Roop Raj, Supriya Pathak, , Ravindra Gharpure B. Venugopal, Rajesh Bhaskar Survase,
Published: September 2024

Entrepreneurship's transforming role in women's empowerment in developing nations. This research examines how women engage in entrepreneurial activities to overcome socioeconomic hurdles. This in turn supports the promotion of social inclusion and financial independence. Some case studies are used in the study. Several unique success stories are included in the report, all of which show how women-led businesses have improved people's lives while simultaneously fostering community development and economic growth. To augment women's involvement in the entrepreneurial ecosystem, the research highlights the importance of focused policies, resource accessibility, and encouraging networks. To achieve this goal, a comprehensive analysis of the obstacles and possibilities faced by female entrepreneurs must be conducted. The results highlight the importance of empowering women via business as a critical tool for achieving more general development objectives. This is because it promotes gender parity and offers support for the continuous development of the economic landscape in emerging nations. The goal of this research is to offer practical insights so that practitioners, development organizations, and politicians working to promote and expand women's entrepreneurship programs globally will have the knowledge and tools necessary to carry out their duties efficiently.
Độc tính của nano AgNPs sinh học đến quá trình phát triển trên mô hình ruồi giấm
Authors: Tuệ Nguyễn Trọng , Thúy Nguyễn Thu , Tuấn Phạm Quốc , Đạt Trần Quốc , Tâm Lê Thị , Tuấn Lê Anh
Published: September 2024

Các hạt nano bạc (AgNPs) là một trong những vật liệu nano đang được sử dụng phổ biến nhất nhờ đặc tính lý hóa độc đáo, khả năng kháng khuẩn cùng với việc dễ chế tạo, giá thành rẻ. Việc nghiên cứu ảnh hưởng của AgNPs đến các sinh vật và con người là vô cùng cần thiết. Do đó, chúng tôi tiến hành đánh giá mức độ ảnh hưởng của AgNPs sinh học đến quá trình phát triển của ruồi giấm. Kết quả nghiên cứu cho thấy có sự hấp thu và tích lũy AgNPs trong tế bào ấu trùng ruồi giấm tiếp xúc với AgNPs. Nồng độ AgNPs 250 mg/L gây đứt gãy DNA của tế bào máu ấu trùng ruồi giấm. Đồng thời, AgNPs ở nồng độ 150 mg/L và 250 mg/L đã làm giảm tỉ lệ trứng nở ra thành ấu trùng và tỉ lệ ấu trùng thoát kén thành ruồi trưởng thành. Từ các kết quả cho thấy: AgNPs ảnh hưởng tiêu cực đến các giai đoạn phát triển của ruồi giấm và gây đứt gãy DNA của các tế bào máu trong dịch haemolymph. Đây cũng là một mô hình đầy hứa hẹn để nghiên cứu độc tính của các hoạt chất sinh học ảnh hưởng đến quá trình sinh trưởng và phát triển của động vật.
Đặc điểm nhiễm khuẩn ở bệnh nhân lupus ban đỏ hệ thống
Authors: Mùi Trần Thị , Phương Nguyễn Hoàng , Đoàn Nguyễn Văn , Hằng Vũ Thị
Published: September 2024

Đặt vấn đề: Nhiễm khuẩn là một trong những nguyên nhân chính dẫn đến tử vong ở bệnh nhân lupus ban đỏ hệ thống (Systemic Lupus Erythematosus-SLE). Mục tiêu: Đánh giá tình trạng nhiễm khuẩn ở bệnh nhân SLE. Phương pháp nghiên cứu: Nghiên cứu tiến cứu mô tả cắt ngang trên 1282 bệnh nhân Lupus ban đỏ hệ thống (Systemic Lupus Erythematosus – SLE) được nhập viện tại Trung tâm Dị ứng – Miễn dịch lâm sàng Bệnh viện Bạch Mai từ 1/6/2018 đến 31/5/2019. Kết quả: 220 bệnh nhân nhiễm khuẩn (17,16%). Nhiễm khuẩn khu trú cơ quan chiếm đa số 84,55%, (chủ yếu gặp cơ quan hô hấp 37,30%), nhiễm khuẩn huyết 11,36%. CRPhs tăng chỉ gặp trong 10% bệnh nhân, Procalcitonin tăng trong 52,7% trường hợp. Vi khuẩn gặp trong nhiễm khuẩn đa số là tụ cầu vàng 39,10%, trực khuẩn mủ xanh 17.40%, lao gặp ít chỉ 4,30%. Bệnh nhân đa số được dùng corticosteroid điều trị 86,36%, HCQ 69,5%. Kết luận: Bệnh nhân SLE hay gặp nhiễm khuẩn hô hấp, nguyên nhân hay gặp do tụ cầu vàng. Thuốc dùng và liều corticosteroid có liên quan nhiễm khuẩn.
The Effect of Vigor and Affective Commitment on the Performance of Women Student Entrepreneurs: the Moderating Role of the Social and University Environment
Authors:   Candidate to Ph.D. Full Professor in the Business School, Costa Rica Institute of Technology, Campus Cartago, Cartago, Costa Rica, Víquez-Paniagua Ana Gabriela , Leiva Juan Carlos ,   Full Professor in the Business School, Costa Rica Institute of Technology, Campus Cartago, Cartago, Costa Rica. Postal address: Box 159-7050 Cartago, Costa Rica. Editor-in-Chief of the TEC Empresarial Journal, Mora-Esquivel Ronald ,   Full Professor in Business School, Costa Rica Institute of Technology, Campus Cartago, Cartago, Costa Rica. Postal address: Box 159-7050 Cartago, Costa Rica. Researcher affiliated with the Business, Economics and Technology Management Research Center at Costa Rica Institute of Technology (Cartago, Costa Rica)
Published: September 2024

This study aims to analyze the performance of university women in active entrepreneurship from the perspective of cognitive variables, such as vigor and affective commitment, and contextual variables, such as the social and university environments. The study follows a multilevel analysis with a three-way interaction model. The data analysis covers 6779 university students from 39 countries, included in the GUESSS Survey, 2018. The evidence indicates a positive influence of the interaction between vigor and affective commitment on the performance of companies created by female university entrepreneurs. It shows the dependence of this interaction on the social and university environment, mainly on the social environment. This empirical study focuses on university students with active startups and determines the main influences on their business performance. This study has important theoretical implications that enrich the understanding of the relationships between the studied variables and contribute to existing knowledge. It mainly highlights the relevance of vigor and affective commitment for business success. Furthermore, it suggests the need for a more elaborate theory on interactions in the business context.
Effects of ginsenoside Rg1 on HIF-1a, VEGF, and ET-1 expression in mice with chronic intermittent hypoxia and pain
Authors: QIN Fei , WANG Peng , ZHANG Min , QIANGZE Zhang , HE Zhuang , LIU Bing
Published: September 2024

Chronic intermittent hypoxia (CIH) is associated with pulmonary hypertension and lacks effective early intervention approaches. Our study intends to investigate the protective effect of ginsenoside Rg1 on pulmonary small artery damage of CIH in mice. A total of 72 SPF-grade male C57BL/6 mice were randomly divided into an experimental group, which received ginsenoside Rg1 10 mg/kg (low-dose group, group T1) and 20 mg/kg (high-dose group, group T2) daily, and the control group (group C), which received an equal volume of normal saline every day. Samples were collected on days 7, 10, and 14 after treatment to assess HIF-1a, VEGF, and ET-1 levels by immunohistochemical staining, serum level of HIF-1a, VEGF, and ET-1 by ELISA, or the mRNA level of HIF-1a, VEGF, and ET-1 by real-time PCR. The control group presented increased serum levels of HIF-1a, VEGF, and ET-1 from days 7 to 14. Compared with the control group, the treatment group showed significantly decreased serum levels of HIF-1a, VEGF, and ET-1 on day 7, 10, or 14 at the same time points (P < 0.05). Consistently, immunohistochemical staining analysis also showed an increased trend of HIF-1a, VEGF, and ET-1 IOD values in the control group, which were all decreased in the treatment group at the same time points with the lower level in the T2 group than the T1 group (P < 0.05). Moreover, HIF-1a, VEGF, and ET-1 mRNA levels in groups C, T1, and T2 also showed similar results to immunohistochemical staining (P < 0.05 or P < 0.001). In the treatment group, HIF-1a was positively correlated with VEGF or ET-1 and VEGF was positively correlated with ET-1. Ginsenoside Rg1 inhibits the expression of HIF-1a, VEGF, and ET-1 in mice with CIH and pain.
Revolutionizing green hydrogen production: the impact of ultrasonic fields
Authors: De Menezes Christian Matheus Barbosa , Sobral Daniel de Morais , Dos Santos Leonardo Bandeira , Benachour Mohand , Dos Santos Valdemir Alexandre
Published: September 2024

Este artigo revisa a utilização de campos ultrassônicos na eletrólise alcalina para produção de hidrogênio verde, destacando benefícios e desafios dessa tecnologia emergente. A aplicação de ultrassom pode aumentar significativamente a eficiência da eletrólise, reduzindo sobretensões e otimizando a transferência de massa. Dados quantitativos da Tabela 1 mostram que a integração de ultrassom pode reduzir a resistência ôhmica em até 76% e aumentar a eficiência de produção de hidrogênio em até 28%. Por exemplo, em condições otimizadas, a produção de hidrogênio pode ser aumentada em 45%, com uma economia de energia variando de 10 a 25%. A revisão examina o impacto do ultrassom na remoção de bolhas de gás das superfícies dos eletrodos e avalia o uso de transdutores ultrassônicos em diferentes configurações experimentais. A eficácia do ultrassom em frequências específicas (20–100kHz) e intensidades ajustáveis (10–1000W/cm²) é discutida em termos de melhoria da transferência de massa e redução da resistência ôhmica. Apesar dos benefícios, desafios técnicos como a seleção de materiais resistentes e o controle preciso das condições de operação são destacados. O artigo sugere que futuras pesquisas devem focar na integração de tecnologias ultrassônicas em sistemas de energia renovável, combinando ultrassom com técnicas avançadas para otimizar a eletrólise de hidrogênio de forma sustentável e econômica.
The predictive power of house price imbalance indicators
Authors: Cáceres Esther
Published: September 2024

Rationale

The Banco de España regularly uses indicators that measure imbalances arising in the residential real estate sector to inform its quarterly decisions on the countercyclical capital buffer. This article analyses these indicators’ power to predict systemic crises.

Takeaways

•The residential real estate sector is particularly important for financial stability, as evidenced by the housing crisis in Spain that began in 2008. It is, therefore, essential to have early warning indicators for effective risk identification.

•In the recent period, on data to 2023 Q3, house price imbalance indicators suggest that house prices remain moderate and around their equilibrium value.

•After describing recent developments in these indicators, their predictive power is assessed using the AUROC metric.
Value depletion in students a threat of post COVID era: An analytical study on the basis of the perspectives of Swami Vivekananda on value education.
Authors: Jacob Runcy , Gaur Rajnee
Published: September 2024

The abrupt shift to online learning, increased social media engagement, and widespread use of smart devices have adversely affected students' physical and mental well-being. Lingering issues persist post-pandemic. This study seeks to highlight the negative repercussions of swift transitions to online education and excessive mobile device usage on students' learning capacity and ethical principles. Focusing on post-COVID value depletion among students, the research aligns with the value perspectives of Swami Vivekananda, the renowned Indian Educational Philosopher. Qualitative data collection methods, including focus group interviews, observation, and questionnaires, were employed to gather insights. The study investigates the impact of online learning and social media usage during the pandemic on students' physical, moral, and mental health. Findings indicate widespread social media addiction among students, a decline in moral values, and consequent academic setbacks. The pandemic severely disrupted their fundamental social interactions. The research aims to guide educators and institutions in comprehending the shifts in student behaviour in the post-COVID landscape, facilitating adjustments in parenting approaches and lesson planning. Embracing a value-based learning approach can aid students in their holistic development, nurturing them into responsible citizens of the future.
Upaya Penanggulangan Peredaran Skincare Berbahaya di Indonesia
Authors: Maharani Dewi Fajar , Dona Raisa Monica  , Fristia Berdian Tamza
Published: September 2024

Perawatan kulit saat ini menjadi salah satu kebutuhan utama masyarakat, terutama bagi para wanita yang ingin tampil cantik. Perawatan kulit pencerah banyak diminati oleh konsumen karena stigma yang berkembang bahwa cantik identik dengan kulit putih. Tingginya minat pasar terhadap produk perawatan kecantikan pencerah kulit tentunya menjadi peluang yang menguntungkan bagi para pelaku usaha di bidang produk perawatan kecantikan. Penelitian ini bersifat deskriptif. Metode penelitian deskriptif merupakan sifat penelitian yang menggambarkan suatu fenomena dengan data akurat yang diteliti secara sistematis (Syafrida, 2021:6). Sifat penelitian deskriptif digunakan untuk mengidentifikasi, menggambarkan, dan menjelaskan bagaimana Upaya Penanggulangan Peredaran Skincare Berbahaya di Indonesia. Menggunakan teknik seperti analisis tematik untuk mengidentifikasi pola dan tema dari hasil wawancara dan FGD. Badan Pengawas Obat dan Makanan (BPOM) adalah lembaga yang mengatur dan membina produk perawatan kulit di Indonesia. Registrasi, pengujian keamanan, dan standar label untuk produk perawatan kulit ditetapkan oleh BPOM. Sebagai contoh, Peraturan Kepala BPOM No. 12 Tahun 2016 tentang Tata Laksana Registrasi Perawatan Kulit mewajibkan produk perawatan kulit yang beredar di Indonesia untuk didaftarkan dan menjalani pengujian laboratorium (Sumber: Pedoman BPOM).
Analysis of Predictive Factors for Cognitive Impairment in the Elderly using Logistic Regression and Decision Tree Analysis
Authors: Han Myeunghee
Published: September 2024

No studies have analyzed the path of predicting the experience of cognitive dysfunction by considering various characteristics in elderly, especially focusing on sleep duration. Thus, this study aimed to predict the experience of cognitive dysfunction according to sleep duration in older individuals. This cross-sectional study used data from 3,361 older individuals from the 2021 Community Health Survey (CHS). Participants were included in two groups according to their experience of cognitive dysfunction (yes or no). Sleep duration was categorized into the following three groups: lack of sleep(<6h), normal sleep (6 to <10h), and oversleep (≥10h). Decision tree and logistic regression analyses were used to identify factors related to cognitive dysfunction in elderly. According to the decision model, those who slept for ≥10h had depression and experienced the highest rate (89.2%)of cognitive dysfunction. In contrast, people aged 65-74 years with a lack of sleep or average sleep duration and low stress levels were the least likely to experience cognitive dysfunction (63.0%). Older individuals who were asleep for ≥10h and had depression showed the highest rate of cognitive dysfunction. Community-based programs to improve cognition in the elderly or healthcare providers caring for the elderly need to continuously assess and consider their age, sleep time, and depression to prevent and manage cognition dysfunction in elderly.
Self-Efficacy and The Assertive of Midwives Towards Early Detection of Preeclampsia among Pregnant Women
Authors: Lusianah Meinawati
Published: September 2024

Preeclampsia in pregnancy is a condition that can threaten the health of both mother and baby. Optimal midwifery service standards are necessary and very important to be implemented so that they have an impact on reducing maternal and infant mortality rates. The aim of the research is to analyze the influence self-efficacy and the assertiveness of midwives in early detection of preeclampsia in pregnant women. Type of observational research design cross sectional. The research subjects were 100 independent practicing midwives in the work area of ​​the Jombang Regency Health Center, taken using techniques Multistage random sampling. Exogenous variables self-efficacy and assertiveness and the endogenous variable is preeclampsia detection. The instrument uses a questionnaire. Data were analyzed quantitatively with correlation tests Chi-Square and logistic regression. The research results showed that midwives with self-efficacy good ones (72%) and midwives with high assertiveness (72%). The analysis results show that the T-statistic value self-efficacy of 4.196 and the T-statistic value of assertiveness is 4.099, which is the significance level self-efficacy of 0.032 and assertiveness of 0.028 (p<0.05). Thus, H0 is rejected, and Ha is accepted, this shows that self-efficacy and assertiveness influence early detection of preeclampsia in pregnant women. Self-efficacy and the positive assertiveness of midwives has a strong direct influence on midwives' performance in early detection of preeclampsia in pregnant women. Self-efficacy and assertiveness have equally important contributions in building individual characteristics so that they do not have significant differences.
Shaping Healthy Beginnings: A Systematic Review on the Impact of Parenting Styles on Toddler Nutritional Status
Authors: Sofiatun  , Deviantony Fitrio
Published: September 2024

Toddlers need a sufficient diet to support their physical and mental development because they grow and develop quickly during this time. Children under five's nutritional status is crucial to their overall health. A child's nutritional health is also influenced by their parents' educational methods and parenting styles. While ineffective parenting can lead to nutritional issues, effective parenting can help children get the nutrition they need. This study investigates how parenting practices affect the nutritional status of children under five. A review of the literature from 2019 to 2020 was conducted as part of this research technique using Google Scholar and the keywords "parenting patterns," "under-five nutrition," and "nurses." The literature review findings indicate a substantial relationship between toddlers' health and nutritional status and how parents raise their offspring. Well-educated children under five typically have better nutritional conditions than those raised in unsuitable ways. Based on this research, their parents' parenting practices significantly influence toddlers' nutritional status. Thus, attempts to improve children's nutritional condition throughout the toddler years must prioritize enhancing the quality of parenting practices.
Panorama das principais fontes de financiamento público para o esporte brasileiro
Authors: Castro Suélen Barboza Eiras de , Mezzadri Fernando Marinho
Published: September 2024

O esporte no Brasil é reconhecido pelo Estado brasileiro como um direito de cada cidadão e como um bem dotado de recursos e estrutura legal e administrativa própria. No que tange aos recursos, o fomento ao esporte conta com diversas fontes públicas diretas e indiretas, das quais destacamos o orçamento público, o patrocínio das estatais, a Lei Agnelo/Piva e a Lei de Incentivo ao Esporte. Este trabalho teve por objetivo discorrer sobre as principais fontes de financiamento público para o esporte no Brasil na esfera federal e mapear suas principais tendências a partir da produção científica sobre o financiamento esportivo no Brasil. Este estudo se caracteriza como uma pesquisa documental e bibliográfica e envolveu a análise de ordenamentos jurídicos, teses, dissertações e artigos de periódicos científicos relativos ao financiamento público esportivo na esfera federal. Concluímos que o financiamento das principais fontes públicas para o esporte tem se caracterizado pela desarticulação com os preceitos legais da Constituição Federal de 1988 e daqueles relativos a noção de direito social. Descontinuidades financeiras, não garantia de volume mínimo, focalização de investimentos em infraestrutura, regiões e modalidades esportivas específicas são algumas tendências das principais fontes públicas da esfera federal para o esporte brasileiro.
Refletindo sobre o lugar da história na Educação Física: apontamentos sobre o livro “Educação Física, esportes e corpo: uma viagem pela história”
Authors: Corrêa Cahuane , Furtado Heitor Luiz
Published: September 2024

Trata-se de uma resenha do livro Educação Física, Esportes e Corpo: uma Viagem pela História, de André Mendes Capraro e Maria Thereza Oliveira Souza publicado pela editora Intersaberes, no ano de 2017. Destaca-se de forma inicial a escolha da temática histórica e seus desdobramentos nas análises dos diferentes objetos relacionados à educação física. Apresenta uma linguagem fácil e atrativa, muito pelo fato de a produção possuir o objetivo de ser um recurso didático e introdutório para professores e alunos. Todavia, demonstra uma pluralidade de objetos e períodos temporais, desenvolvidos por meio de referenciais teóricos bem elaborados, o que contribui para a comunidade acadêmica e incentiva produções futuras.
OS DIFERENTES DISCURSOS SOBRE A OBESIDADE: UM IMPERATIVO DE SAÚDE RELACIONADO COM A EDUCAÇÃO FÍSICA
Authors: Rojo Jeferson Roberto , Santos Marcos Antonio dos
Published: September 2024

A obesidade e a saúde são temas que geram conflitos dentro do campo da Educação Física brasileira. Diante disso, o presente artigo tem como objetivo tecer algumas reflexões sobre o conceito de saúde e os imperativos alinhados a ele, bem como verificar como a obesidade vem sendo abordada por diversos setores da sociedade brasileira, inclusive nos programas governamentais. Para isso, apropriou-se de fontes de pesquisa documental e bibliográficas, as quais se constituem no formato de peças publicitarias, documentos oficiais, sites oficiais e a literatura acadêmica da área. Diante dos achados da pesquisa, considera-se relevante o ponderamento em ambos os lados do discurso sobre saúde e obesidade.
O DESAFIO DA DUPLA CARREIRA: ANÁLISE SOBRE OS GRAUS ACADÊMICOS DE ATLETAS DE ELITE DO FUTSAL FEMININO BRASILEIRO
Authors: Maquiaveli Giulia , Coelho Guilherme Fernandes , Vicentini Lucas , Oliveira Flavia Volta Cortes de , Ricci Christiano Streb , Marques Renato Francisco Rodrigues
Published: September 2024

Pode-se compreender dupla carreira como a dedicação concomitante entre duas atividades rotineiras, sendo o investimento no esporte e nos estudos um exemplo recorrente. O desenvolvimento de uma carreira esportiva demanda treinamentos intensos, longos confinamentos, viagens e mudanças de cidade e residência, o que provoca dificuldades para adequação aos calendários e atividades esportivas e acadêmicas. Neste cenário, o objetivo deste estudo foi analisar o grau acadêmico de atletas de elite do futsal feminino brasileiro. A análise se fundamentou em categorias da Sociologia Reflexiva de Pierre Bourdieu, relacionadas ao campo acadêmico e à herança cultural familiar. Foi aplicado um questionário a dez atletas da seleção brasileira adulta feminina de futsal. Os dados foram analisados de modo a caracterizar a incidência das respostas através de estatística descritiva e foram submetidos aos testes Qui-quadrado, V de Cramer e de Correlação de Spearman. As atletas participantes apresentaram maior grau acadêmico do que a população brasileira estratificada, com a maioria tendo cursado o ensino superior privado com bolsas de estudo esportivas. As participantes também superaram seus pais e mães, demonstrando uma baixa influência da herança cultural familiar. Conclui-se que o futsal tem colaborado para a inserção e permanência das atletas na carreira acadêmica, principalmente no ensino superior.
As características de distribuição de bolsas no programa bolsa-atleta referentes à idade e ao sexo dos atletas olímpicos e paralímpicos
Authors: Camargo Philipe Rocha de , Santos Thiago De Oliveira , Santos Sabrina Coelho dos , Mezzadri Fernando Marinho
Published: September 2024

Este estudo teve por objetivo identificar as características de distribuição de bolsas entre os atletas das modalidades olímpicas e paraolímpicas referente a idade e sexo dos atletas. Foram analisados dados de 16.200 atletas financiados pelo programa Bolsa-Atleta durante o período de 2005 a 2016, de acordo com os dados fornecidos pelo Ministério do Esporte e catalogadas no banco de dados do Projeto Inteligência Esportiva (IE)/UFPR. Utilizou-se o software estatístico IBM SPSS Statistics (v. 24) para a análise descritiva da caracterização dos participantes, que foram divididos em cinco categorias de acordo com as médias de idade de recebimento da bolsa, bem como de acordo com seu sexo. Os resultados indicaram a existência de diferenças significativas entre o investimento nos atletas em relação ao gênero, apontando um maior valor de pagamento para as mulheres, embora em menor número de beneficiadas; e apontaram para um maior beneficiamento de atletas inseridos nas categorias de idade 3 (25 à 35 anos) e 4 (35 à 45 anos). Este estudo representa um esforço inicial para ilustrar como o apoio aos atletas pode ser aprimorado, para além disto, esses resultados podem auxiliar os gestores no desenvolvimento de estratégias e políticas voltadas para estes atletas.
INCERTEZA E NÃO-ERGODICIDADE: AS PERSPECTIVAS DAS VERTENTES INSTITUCIONALISTAS
Authors: Azevedo Laís Fernanda De , Conceição Octavio Augusto Camargo
Published: September 2024

Levando em consideração o papel das instituições na formação das relações econômicas em um ambiente de incerteza, o presente trabalho propõe-se a sistematizar o conceito de incerteza, a partir de Frank Knight, bem como a hipótese da não-ergodicidade, a partir de Davidson, e identificar como tais aspectos são incorporados nas vertentes do Velho Institucionalismo, a partir de Veblen e Commons, e da Nova Economia Institucional (NEI), a partir de Douglass North. Verificou-se que no Velho Institucionalismo tais aspectos não são abordados especificamente, mas estão implicitamente presentes na conformação das instituições. Já na NEI de North, a incerteza e a hipótese da não-ergodicidade são diretamente abordadas e exercem um papel importante no método de análise das mudanças institucionais.
Criptoativos: Uma Análise do Comportamento e da Formação do Preço do Bitcoin
Authors: Camacho Tatiana Silveira , Silva Guilherme Jonas Costa da
Published: September 2024

O objetivo do artigo é especificar e detalhar os fatores que influenciam o preço de mercado de cripotativos usando o exemplo específico do bitcoin. Devido à popularidade e apelo mercadológico crescente dos criptoativos, compreender a formação do preço destes ativos financeiros ganhou relevância no debate acadêmico. As evidências sugerem que os preços dos criptoativos estão relacionados aos fatores internos, em particular, à mineração, enquanto que os externos estão relacionados aos aspectos mercadológicos.
Leveraging Pharmacovigilance to Build Trust and Strengthen Health Policy
Authors: Kargiolakis George
Published: September 2024

During the first 2 years of the pandemic, the importance of drug safety in building trust between citizens and institutions for the protection of Public Health was highlighted. At the same time, it became apparent that there are many gaps in the education of healthcare professionals in reporting possible adverse events, making it even more difficult to implement measures protecting Public Health (such as vaccination) due to inadequate communication of basic concepts of Pharmacovigilance (PV) and patient safety to the general public. The above, combined with the chronic deficiencies in infrastructure and inadequate or even non-existent procedures, had significant implications both for the protection of Public Health and for the trust of citizens in the Healthcare system, the competent bodies and ultimately the institutions themselves. In Greece, there is minimal education in Pharmacovigilance and its basic concepts, even in schools such as medicine, nursing and pharmacy. In recent years, some efforts have started at the postgraduate level, but overall, the weight given to this issue is quite inadequate. However, if we why we need Pharmacovigilance and think about how it could directly and indirectly improve the protection of Public Health, then it will be clear why it needs to be introduced in the education of future health professionals and become something like their second nature and way of thinking. In Greece, there is minimal education in Pharmacovigilance and its basic concepts, even in schools such as medicine, nursing and pharmacy. In recent years, some efforts have started at the postgraduate level, but overall, the weight given to this issue is quite inadequate. However, if we why we need Pharmacovigilance and think about how it could directly and indirectly improve the protection of Public Health, then it will be clear why it needs to be introduced in the education of future health professionals and become something like their second nature and way of thinking.
Measuring Patient Satisfaction in a General Hospital
Authors: TSAKIRI Eleni
Published: September 2024

Knowledge of the experience of health service users is a strategic operational success factor, due to the ability of patients to capture a unique (individual) picture of the hospital's operation, information whose utilization contributes to the improvement of the organization. The purpose of the current study was to measure perceived quality through the experiences of the patients of Rhodes General Hospital. 420 questionnaires were collected with convenience/ random sampling (July 2022-February 2023). A weighted patient satisfaction questionnaire was used. A regularity and reliability check (Cronbach's alpha) were performed. To test the statistical hypotheses, the non-parametric Mann Whitney U and Kruskal Wallis test, one-way ANOVA with post hoc analysis and regression analysis were performed. IBM SPSS v.25 statistical package was utilized. The level of statistical significance was set at 0.05. The sample consists of 285 women (68%) and 135 men (32%). The average age was 48.8 years (± 21.71). Almost half of the sample of patients had scheduled admission. Overall satisfaction is quite high (4.77± 0.34). Respondents express their satisfaction with the parameters of reception and accommodation (4.57±0.55), medical follow-up (4.85± 0.35), nursing care (4.91 ±0.28) and general service (4.77 ±0.46). Gender appears to be statistically significantly related to perceived satisfaction with the care environment, diligence of serving, and behavior of catering staff. Age and type of admission seem to be statistically significantly related to perceived patient satisfaction with physicians' behavior, quality of nursing care, and behavior toward attendants. Older patients are more satisfied with the instructions they receive on discharge. These findings illustrate that the measurement of patient satisfaction is a legitimate indicator for improving the services and strategic goals of healthcare organisations, which ensure the patient-centered nature of care. The improvement strategies of facilities/reception/environment, as well as upgrading the communication skills of medical, nursing, and other staff, will help to ensure the best possible quality rates at the investigated hospital.