bluuebunny/crossref_metadata_2025 huggingface dataset:
Violência como Vivência Afetiva no Amor Romântico
Authors: Jardim Maria Chaves , Miwa Marcela
Published: October 2023

O presente artigo busca relacionar duas categorias pouco associadas nas ciências sociais: violência e amor. Para construção do argumento central, de que o amor romântico é terreno fértil para a violência entre casais de amantes, a pesquisa realizou revisão bibliográfica sobre o tema e traz resultados exploratórios de uma etnografia virtual realizada no aplicativo WhatsApp, junto às mulheres que buscam ajuda para sair de um relacionamento abusivo. Os dados apontam que o amor vivenciado por essas mulheres é o amor romântico e que as formas de violência vivenciadas por elas ultrapassam a violência física, além de se manterem em relacionamentos abusivos pela crença em ter capacidade de mudar seu companheiro.
Acolher: um livro sobre inclusão
Authors:   Claudia Yamada Utagawa,   Beatriz Cristina Silva dos Reis,   Débora Loureiro Cintra,   Douglas Barros Corrêa,   Guilherme de Mesquita Rodrigues Figueiredo,   Izadora Garcias Araújo Abreu,   Thayla Mascarenhas Pelayo
Published: October 2023

Este livro é um relato de experiência, uma entre tantas que vivenciamos como docentes numa trajetória de mais de 20 anos na instituição. É um relato que se diferencia de outros porque traz, para nós, professores, o frescor e a esperança de novos tempos, construindo e compartilhando saberes com futuros médicos mais críticos, reflexivos e, principalmente, mais humanos. No início do primeiro semestre de 2022, iniciamos o Aprendizado Baseado em Projetos (Project Based Learning), nos módulos 1 a 8, que correspondem aos quatro primeiros anos de formação dos alunos do curso de Medicina do Centro Universitário de Volta Redonda - UniFOA. Este livro relata a trajetória e a experiência de 73 alunos do 2º período do curso de Medicina (Módulo 2), realizada entre os meses de março a junho de 2022. Eram alunos provenientes de diversas partes do país que iniciaram a graduação em meio às dificuldades e incertezas da pandemia de COVID-19 e que traziam consigo histórias e experiências acadêmicas, profissionais e pessoais muito diversas. Essa diversidade, com certeza, contribuiu muito na construção coletiva dos produtos resultantes desses projetos.
Evaluation of the opinions of patients applying to the emergency department in the north of Syria about COVID-19 vaccine
Authors: KARACA Bahadır , ÇELİK Burak
Published: October 2023

Background: In north of Syria, health care is provided with humanitarian aid. Mass vaccinations, seen as a way out of the pandemic in Syria, are to be carried out with the support of WHO and under the supervision of Turkey. In this study, we assessed the knowledge and opinions of people who applied to hospital emergency departments in north of Syria Region about COVID-19 and the vaccine.Methods: A face-to-face survey was conducted by trained interviewers among patients and their relatives who applied to the emergency department of Azez Vatan and Çobanbey Hospitals in North of Syria Region.Results: A total of 331 subjects, 40.2% males and 59.8% females, participated in the study. The mean age was 36.06±12.69 years. While 42.9% of the participants wanted to be vaccinated, 42% said they did not want to be vaccinated, and 15.1% were undecided. When those who answered “No and I am undecided” to the question “Would you like to be vaccinated?” were asked about their hesitations about the vaccine, 129 people indicated that they did not think the vaccines were safe, and 107 people were not sure whether the vaccines provided protection. Belief was found to have no significant effect on the desire to be vaccinated.Conclusions: It is believed that vaccine awareness in the global sense, misconceptions and concerns about vaccines are effective and should be taken into account in vaccination activities and pandemic response in Syria as well as around the world.
The importance of linear measurements made using panoramic radiography in pre-implant site assessment: actual vs. measured
Authors: ALAN Raif , ERBEYOĞLU Ahmet
Published: October 2023

Background: In order to reduce post-operative failure and ensure successful rehabilitation, patients scheduled for dental implant treatment are often evaluated pre-operatively using radiographic images in addition to clinical examination. This study aimed to investigate the reliability of digital panoramic radiography in the pre-implant site assessment.

Methods: Panoramic images of 150 patients with the total of the 396 implants placed in the maxilla (n=165) and mandible (n=231), were examined in the study. Radiographic measurements (vertical and horizontal) were recorded on the computer using the automatic calibration tab for each radiograph and compared with the actual implant dimensions. Moreover, the effects of location, gender, and change in dimensions on magnification rate (MR) were also investigated. The measurements were made by two experienced observers.

Results: Panoramic vertical measurements were significantly higher in both the maxilla and mandible compared to the actual implant lengths (p
Investigation of the knowledge, attitudes and behaviors on active aging of people between 30-40 years: A multi-central cross-sectional study
Authors: YILMAZ YELTEKİN Sevinç , GÖRPELİOĞLU Süleyman
Published: October 2023

Background: Aging is a physiological process that is seen in every human and causes a decrease in all functions.It is important to prepare the elderly population for the future as individuals who can take care of themselves, have low chronic diseases and have economic competence.It is an important and cost-effective method for healthy aging with primary prevention.The aim of this study is to analyze the knowledge, attitudes and behaviors of people aged 30-40, who are the elderly of the future, about active aging.

Methods: This study was conducted face-to-face and over the calling with people aged 30-40 who applied to Family Health Center randomly selected across Turkey between March 2019 and January 2020 for any reason. A questionnaire including about socio-demographic information, health control, vaccinations, smoking and other addictions, nutrition, sports habits and hobbies questions prepared by the researchers was applied to the participants.

Results:300 people were included in the study. When the medical precautions taken by the participants regarding their health were questioned;blood pressure of 68.0%; blood sugar of 69.3%; 65.0% had their blood fats measured; vision of 70.7%; 79.0% had teeth; 31.7% hear; It was observed that 11.0% of them had occult blood examination in the stool.

Conclusions: The results of our study are individuals between the ages of 30-40; revealed that they do not plan for healthy aging. Preparing for a healthy aging period while still young is extremely important in terms of transforming the measures to be taken into a lifestyle.
Comparison of the oral and dental health awareness of pregnant individuals: A pilot study from Turkey
Authors: TÜRKMENOĞLU Abdulkadir , YILDIRIM Özgün , MOLLAOĞLU Nur
Published: October 2023

Background: In this study, it was aimed to investigate the sociocultural and socioeconomic status of pregnant patients who applied to the department of oral and maxillofacial surgery for tooth extraction as well as their level of awareness about oral and dental health.
Methods: A questionnaire including total of 16 questions about their awareness, practices and attitudes towards oral and dental health was filled by 193 pregnant volunteers, and the results were evaluated statistically.
Results: When the attitudes of pregnant women towards oral and dental health were examined according to their monthly income, it was found that there was no statistically significant difference (p>0.05). However, it was determined that the attitudes of pregnant women with a middle income towards oral and dental health were better. In addition, it was determined that there was a statistically significant difference in the level of consciousness between those who had a dental examination during pregnancy and those who did not (p<0.05).
Conclusions: Not all the pregnant women are always aware that they may have problems by their oral and dental health during their pregnancy and moreover, they are not always well informed by the health personnel. It seems there is a lack of dental health controls in Turkey for pregnants. This pilot study indicates that oral health screening needs to be a routine procedure of antenatal clinics in Turkey in order to inform pregnants in detail regardless of their sociocultural and socioeconomic status to reach better oral health and consequently better pregnancy outcomes.
Determining the risk of development of cranial pathology in patients with minor head injury using antiagregan-anticoagulants
Authors: ÖZENSOY Habibe Selmin , BİLDİK Fikret , ÖZTÜRK Sema , YAVUZ Zeynep , SÜRE PİRHAN Alev Duygu , DEMİRCAN Ahmet , KELEŞ Ayfer , KİLİCASLAN Isa
Published: October 2023

Background: Patients use antiplatelet/anticoagulant drug which is increasing bleeding tendency is increasing with age. These patients can be admitted to the emergency room with minor head trauma and some ambiguities which may occur in the management of emergency services We undertook this study to determine the factor of intracranial hemorrhage in anticoagulated patients and patients on antiplatelet therapy and its impact on clinical management, identify predictors of positive imaging findings and their outcomes.
Methods: ın a prospective analysis, All patients who had minor head trauma between June 1, 2014 and May 1 2015 were included in this study. They should be evaluated by doctors in the ED; no interference will be made during diagnosis and treatment. We reviwed medications, mechanism of injury, head CT results and outcomes. Demografic data, symptoms, clinical examinations were recorded.
Results: 606 patients with minor head trauma were admitted to the emergency department. The average age of patients was 48.6 ± 22.6 and 57% (n = 345) were men, 43% (n = 261) were female. 30% of them (n:182) were taking antiplatelet/anticoagulant. Patients who use antiplatelet/anticoagulat is older then patients who didn’t use antiplatelet/anticoagulat therapy. Patients had CT scanned and they had 14,6% pathological finding. But this wasn’t statistically significant (p=0,762). Similarly, there was no statistically significant difference between 68 users antiplatelet and anticoagulant therapy (p = 0.865). Nausea was statistically significant in patients with pathology in the head CT (p=0,045).
Conclusion: Minor head trauma in patients may die or have brain hemorrhage who use ASA with klopidogrel. However, symptoms of the patient, physical examination and laboratory data are insufficient to predict the risk of intracranial pathology.
“Women Activism – A Pragmatic Analysis”
Authors: Sah Ruchie
Published: October 2023

The purpose of this paper is to acquire an understanding and analyze pragmatically the oppressed status of women in ancient India. In recent years the role and status of women have undergone some drastic changes, maybe due to globalization and commercialism. To render social transformation a reality, it is imperative for women to break free from the oppressive shell that has taken shape through centuries and seek empowerment. Unlike oppression, which curbs personal growth and development, empowering implies building the self-esteem of every woman in society, irrespective of education, social status and other factors, rather than limiting the focus to celebrities. To feel less oppressed and more empowered, there are certain factors that play a seminal role. Education is one of the most important requisites, wherein an educated woman is less likely to feel oppressed owing to being sufficiently qualified to seek employment and enjoy some degree of financial independence. Provision of equal opportunity, particularly in context of gender discrimination, can make a big difference because it would enable women to take proactive part in decision making and achieve their objectives. Ease of access to vocational programs, especially in rural areas, can effectively foster self- employment and entrepreneurship, and in the process, reduce oppression. Social protection, through prevention of female feticide and infanticide, and monitoring and regulating social practices like marriage, divorce, dowry, harassment and so on can negate social oppression. At the same time, awareness in terms of legal rights and human rights, saving schemes and rehabilitation programs would enable women to fight against oppression, both at the personal and social level.
An Investigation of Basic Psychological Needs Satisfaction and Its Basic Components: A Literature Review
Authors: MUKBA Gamze
Published: October 2023

Basic psychological needs satisfaction is closely related to self-determination theory, which is associated with desires that influence motivation and individuals’ actions. According to self-determination theory, when individuals have both extrinsically motivated and intrinsically motivated motivation while pursuing a task, positive outcomes such as task continuation and subjective well-being occur. Within the framework of self-determination theory, individuals’ motivating needs may be thought of as their psychological nourishment, and the perception of being able to do things and meet their needs in their personal space may be highlighted. Among the basic elements of basic psychological needs satisfaction, autonomy, competence, relatedness, and the potential for life satisfaction related to these three components may be counted. Competence is associated with individuals’ effectiveness in interacting with the environment and their sense of control in being able to accomplish tasks (such as completing a project assignment). Autonomy, on the other hand, is related to the individuals’ ability to regulate their actions voluntarily. Relatedness with others, which is another component of basic psychological needs satisfaction, may arise from individuals’ desire to be in relationships characterized by mutual respect, trust, and emotional connections with others. When looking at the elements associated with basic psychological needs satisfaction in the literature, “Maslow's hierarchy of needs,” “Psychological well-being,” “Disasters,” and “Various motivational sources” may be seen. Considering the elements associated with basic psychological needs satisfaction, it is suggested that activities may be organized on how to benefit from that. For example, an activity may be organized to develop awareness of the components of autonomy, competence, and interpersonal relationships involved in satisfying basic psychological needs.
THE IMPACT OF TELEVISION TURKISH SERIES ON MOROCCAN FEMALE AUDIENCES
Authors: LEMOUALDI Fatine
Published: October 2023

For the past decade, Turkish television series have enjoyed a remarkable interest on Moroccan television. Transformed into a priviliged television consumption for Moroccan audiences, these Turkish series dubbed in Moroccan dialect continue to grow. In this context, recent research has highlighted the sociocultural impact of this production . The focus of our research will be to study the creation of this desire and it’s influence on the lifestyle of Moroccan women. Within this framework, we will first approach the topic conceptually, afterward, we will present the research architecture we have chosen and the methodological protocol we used to carry out our invetisgation. Finally, we will analyze and interpret the results
THE CHINESE ECONOMY: BETWEEN ECONOMIC PARTNERSHIP AND US OPPOSITION
Authors: Sherif NEAAM Hussein
Published: October 2023

Over the past four decades, China was Able to Carry out Comprehensive Reforms in the Political, Economic and Cultural Fields that were Characterized by Gradualness and Adaptation to the Circumstances and Capabilities of the Country and its Own needs. It was Able to Build a Hybrid Economic Model Between the Planning Principles Emanating from its Communist Beliefs and the Market Principles Emanating from its Future Aspirations. This was its First Step in the Process of Economic Reform, which Reflected its Position on the Map of Global Political and Economic Relations, and a Number of Developing Countries Expressed their Hope that China Would Transfer its Economic Experience to their Societies, Especially Since China is Interested in Promoting its Goods and Services Regardless of the Regime and its Affiliations. This Made it a More Attractive Option for Many Developing Countries and Authoritarian Regimes that do not want to Interfere in their Internal Affairs and at the Same Time favor obtaining the highest foreign investments. On the other hand, this success posed a threat to the economic interests of many capitalist countries, especially the United States The United States, which caused tension and turmoil in international trade relations, so the regime change that My neighbor, imposed by the rise of China while achieving its benefits, has created regional and international conflicts
CDIPEM: Cardiovascular disease incidence probability estimation CNN model
Authors: Bodiwala Sunny , Nanavati Nirali
Published: October 2023

Heart disease affects the majority of the world’s population, with a high rate of morbidity and mortality. The prediction of heart disease at an early stage is viewed as one of the imperative issues in clinical trials. Since there is a huge amount of medical data and it keeps on increasing, it becomes very difficult to analyze and process such data. Hence, machine learning algorithms become an obvious choice to handle such data. This paper presents a classification framework for clinical decision-making that uses an optimized convolutional neural network (CNN). The pre-processed clinical dataset is used for the training and testing of the classifier. A publicly available UCI dataset is used to examine how the system performs. The statistical features are extracted at the beginning and then subsequent data minimization is carried out. Therein-after, the prediction of heart diseases is done with the help of CNN. The identification of optimal weights is done to enhance the performance of CNN which in turn gives accurate disease prediction results. In this paper, we propose a hybrid Particle Swarm Optimization (PSO) and Gray wolf Optimization (GWO) technique namely PS-GW technique to identify the optimal weight parameters. Finally, performance analysis is done and the experimental results are compared with the existing approaches which show improved classification accuracy over conventional optimization techniques and some well-known classifiers such as k-nearest neighbour, decision tree, logistic regression, naive bayes and random forest.
Deep learning based highway vehicles detection and counting system using computer vision
Authors: Kumar Ashutosh , Gupta Nidhi , Misra Rahul , Sharma Satyajeet , Chaudhary Deevesh , Sharma Gajanand
Published: October 2023

In the field of highway management, intelligent vehicle detection and counting are becoming increasingly significant. City planners have been fighting the issue of traffic analysis for years. To analyze traffic and streamline the process, intelligent methods are being created. The type of vehicles and the number of vehicles in an area over some arbitrary time period may be taken into account. Over the years, humans have created a variety of mechanisms, because the vehicles are come in different sizes, it is still difficult to identify them, which can directly impact the accuracy of vehicles count. In the field of vision research, computer vision is one of the most often used applications for traffic scenarios. A variety of computer vision applications, including object detection and categorization, have proven that deep learning techniques like Convolutional Neural Networks (CNNs) greatly outperform conventional approaches. Hence in this work, deep learning-based highway vehicles detection and count system suing computer vision is presented. Vehicles on the highway can be efficiently detected by this technique. YOLOv3 (You Look Only Once Version 3) is a real-time object detection technique which is used to detect vehicles in real-time. Precision, recall and real-time rate are measured to evaluate the performance of this system.
Estratégia de garantia de conformidade de contratos de prestação de serviços públicos: requisitos da lei de proteção e defesa do usuário e recomendações da Controladoria Geral da União – CGU
Authors: Magacho Bruna Toledo Piza de Carvalho , Motta Fabrício Macedo
Published: October 2023

Atualmente compliance é um tema relevante na gestão de empresas privadas ou públicas. Objetiva garantir que as organizações cumpram com as leis, normas e regulamentos, promovendo ética e transparência em suas atividades. Este estudo delimita-se à gestão de empresas privadas prestadoras de serviços públicos, pressupondo que possuem um papel essencial na entrega de serviços públicos essenciais à população. A questão explora o processo de implementação de programas de compliance e como pode contribuir para uma gestão mais eficiente e responsável, com impacto positivo na qualidade dos serviços oferecidos. O estudo parte da premissa da manutenção da conformidade na gestão de contratos e garantia do cumprimento da Lei de proteção e defesa do usuário do serviço público (Lei Federal n.º 13.460/2017). Explora-se o conteúdo da norma que estabelece diretrizes para a gestão de contratos entre usuários e prestadores de serviços públicos, com o objetivo de garantir uma relação mais justa e equilibrada entre partes. Destacam-se aspectos indispensáveis para implementar um programa de compliance efetivo, como definição de políticas claras e objetivas, capacitação de colaboradores, auditorias internas e avaliação constante dos riscos envolvidos. Na conclusão, apresenta-se um quadro com cinco pilares norteadores de programas de integridade: comprometimento da alta direção, análise de riscos, políticas e procedimentos objetivos, capacitação, conscientização e indicadores para monitoramento contínuo do sistema. Por fim, ressalta-se a importância do compliance e da gestão de contratos para garantir uma atuação ética, transparente e responsável das empresas prestadoras de serviços públicos, com impacto na qualidade dos serviços oferecidos ao cidadão.
BEING A DOCTORAL STUDENT IN MEASUREMENT AND EVALUATION IN EDUCATION: A PHENOMENOLOGICAL STUDY FROM THE PERSPECTIVES OF DOCTORAL STUDENTS
Authors: DEMİR Seda
Published: October 2023

The study aims to examine the views of doctorate students and graduate doctoral students who have received or are receiving doctoral education in the field of measurement and evaluation in education. Phenomenological design, one of the qualitative research methods, was used in the study. The participants of the study consisted of 24 participants who had completed their doctoral education in the field of Measurement and Evaluation in Education at three different state universities (n=11) or were continuing their doctoral education (n=13). The data were gathered during the fall semester of 2022-2023 academic year via a semi-structured interview form prepared by the researcher and consisting of five open-ended items. Content analysis was used for analysis of the data gathered. The results showed that students' views about the factors leading them to pursue an academic career were grouped under three themes as “having interest in the field”, “desire for academic achievement”, and “career goals.” Two themes, “guidance and mentorship” and “academic support” were identified for students' views on their learning relationships with their supervisors. It was seen that students' views about their academic experiences were grouped under three themes as “research activities”, “teaching experiences”, and “academic development.” In addition, students' views on the skills provided by their supervisors were grouped under the themes of “research skills”, “higher-order thinking skills”, and “pedagogical and teaching skills”. Lastly, three themes, “technical competencies”, “theoretical knowledge”, and “practical skills” were identified for the participants' views on the requirements they needed during their doctoral education.
Cancer-Related Fatigue (2018–2022)
Authors: Fleischer Anne , Campbell Claudine , Polo Katie M.
Published: October 2023

Systematic review briefs provide a summary of the findings from systematic reviews evaluated in conjunction with the American Occupational Therapy Association’s Evidence-Based Practice Program. Each systematic review brief summarizes the evidence on a theme related to a systematic review topic. This systematic review brief presents findings related to interventions addressing cancer-related fatigue in adults living with and beyond cancer.
Psychosocial Technology and Telehealth-Based Interventions for Adults With and Beyond Cancer (2018–2022)
Authors: Amanat Yasaman , Newman Robin , Morikawa Stacey
Published: October 2023

Systematic review briefs provide a summary of the findings from systematic reviews evaluated in conjunction with the American Occupational Therapy Association’s Evidence-Based Practice Program. Each systematic review brief summarizes the evidence on a theme related to a systematic review topic. This systematic review brief presents findings related to psychosocial technology and telehealth-based interventions for adults with and beyond cancer.
ԽԱՂԱՅՆԱՑՈՒՄԸ` ՈՐՊԵՍ XXI ԴԱՐԻ ԻՐՈՂՈՒԹՅՈՒՆ / GAMIFICATION AS 21ST CENTURY REALITY
Authors: BAYTALYAN YELENA
Published: October 2023

The article refers to the gamification in the field of education that has been rapidly developed as a result of digital revolution in the recent decade. The definition to the term “gamification” is given in the article based on the opinions of the professionals in the field. The effectiveness of gamification is summarized with the clear emphasis on its positive (sustainable or non-sustainable) impact.
Application of the Beta Distribution Model to the Customer Churn Rate
Authors: Zaidan Henrique Pinto dos Santos
Published: October 2023

The beta distribution model has been applied in many different research environments due to the flexibility of its two parameters. In this research, we fit this probabilistic model for mod- eling a recurring problem confronted for many businesses called the customer churn rate (or churn rate). It represents the proportion of customers who cancel their subscriptions after a given time. We use data from a Brazilian media service company to develop the modeling. The parameters are estimated by the maximum likelihood estimation (MLE) technique. Finally, we perform the MLE technique by considering two programming languages; Ox and R.
Penyuluhan tentang Jajanan Sehat sebagai upaya Perbaikan Status Gizi pada Siswa di SD Negeri 100 Kendari
Authors: Bahar Hartati , Savitri Effendy Devi , Muchtar Febriana , Lestari Hariati , Tosepu Ramadhan , Paridah Paridah , Hasanah Aswatun
Published: October 2023

Sekolah merupakan salah satu lembaga pendidikan formal. Sekolah merupakan subsistem pendidikan, karena lembaga pendidikan itu sesungguhnya identic dengan jaringan-jaringan kemasyarakatan, sebab dalam prosesnya terdapat aktifitas kemanusiaan dan pemanusiaan sejati. Sementara itu,
siswa membutuhkan konsumsi pangan yang cukup dengan gizi seimbang karena masih mengalami masa pertumbuhan dan perkembangan.
Siswa SD menghabiskan seperempat waktunya untuk beraktivitas di sekolah. Mereka lebih banyak mengkonsumsi makanan jajanan. Hal yang perlu diperhatikan adalah pemilihan makanan jajanan yang baik untuk dikonsumsi sehingga tidak menimbulkan masalah kesehatan
 
Maka dari itu tujuan dari kegiatan ini ialah untuk memberikan pemahaman kepada siswa (i) di SDN 100 Kendari mengenai jajanan sehat dan cara memilih jajanan yang sehat dalam lingkungan sekolah melalui media poster. Berdasarkan  hasil kuesioner pre test dan post test didapatkan bahwa ada perbedaan yang signifikan rata-rata pre test yang diberikan sebelum penyuluhan dan post test yang diberikan setelah penyuluhan. Hal ini menandakan bahwa pemberian poster kepada siswa (i) sebagai media penyuluhan telah berhasil merubah pengetahuan dan sikap mereka.
Duygusal Şantaj Ölçeğinin Türkçe’ye Uyarlanması ve Psikometrik Özelliklerinin İncelenmesi
Authors: KAHRAMAN Meliha , IKIZ F. Ebru
Published: October 2023

Duygusal şantaj, yakın ilişkiler bağlamında, talepleri ve arzuları karşılanmayan tarafın, diğer tarafı açık veya örtülü şekilde tehdit etmek suretiyle güç kullanma biçimidir. Bu çalışma, Forward (1997) tarafından geliştirilen ve daha sonra Chen (2009) tarafından revize edilen Duygusal Şantaj Ölçeği'nin Türkçeye uyarlanması amacını taşımakta olup, ölçeğin geçerlik ve güvenirliğini incelemeyi hedeflemektedir. Araştırmanın katılımcı grubunun %71.2’si kadın ve %28.7’si erkektir, böylece katılımcı grubu 243 kadın ve 98 erkek olmak üzere toplamda 341 üniversite öğrencisinden oluşmaktadır. Katılımcıların yaş ortalaması 21.9 olarak hesaplanmış olup, yaşları 18 ile 40 arasında değişmektedir. Yapılan açımlayıcı faktör analizi sonucunda, ölçeğin %54'lük bir oranda duygusal şantaj düzeyini yansıttığı görülmüştür. Ayrıca, doğrulayıcı faktör analizi sonucunda, ölçeğin orijinal yapısını koruyarak 3 alt boyut ve 14 madde içerdiği belirlenmiştir. Algılanan Duygusal İstismar Ölçeği ve Duygusal Öz Yeterlik Ölçeği ölçüt bağlantılı geçerlik analizinde kullanılmıştır. Yapılan güvenirlik çalışmaları sonucunda, tüm ölçeğin Cronbach alfa katsayısı .84 olarak hesaplanmıştır. Bu bulgular, Duygusal Şantaj Ölçeği'nin bireylerin duygusal şantaj seviyelerini değerlendirmede geçerli ve güvenilir bir psikolojik ölçüm aracı olduğunu ortaya koymaktadır.
DETERMINANTS OF REPRODUCTIVE HEALTH SEEKING BEHAVIOUR AMONG WOWEN OF REPRODUCTIVE AGE IN AJAOKUTA VILLAGE, KOGI STATE
Authors: Abdulkarim Sheidu HARUNA  , Chiemezie Scholastica ATAMA  , Mohammed AUDU  , Bilkisu Aboda MUSA  , Yusuf Baba IBRAHIM
Published: October 2023

Women of reproductive age play a pivotal role in ensuring the continuity of the society, yet, they are faced with high risks of complications and even death in the course of performing this role. The study examined the determinants of reproductive health-seeking behaviour among women of reproductive age (15-49 years) in Ajaokuta village. The Behavioural Model of Health Service Use was adopted as a theoretical framework of the study. A self-administered open-and closed-ended structured questionnaire was used as instrument of data collection. A descriptive survey was carried out among 156 respondents using the multi-stage sampling technique. Frequency distribution tables and percentage were used to analyze the data. The respondents had the knowledge of reproductive health service, seeks reproductive health care services but the traditional and the faith-based care services. Family influence, educational qualification, inadequate healthcare services, access to health care service, lack of quality services, inadequate health workers, attitudes of health workers, cost of services, lack of confidentiality, waiting period to access care and volume of patients awaiting treatments were the determining factors found by the study. More awareness centered on the benefits of orthodox services utilization, minimal family interference, education of women, availability of quality and accessible reproductive health services, adequate health workers with good attitudes, affordability of healthcare services, strict confidentiality, urgent attention to avoid large number of patients  awaiting care services were the recommendations provided by the study

Keywords: Ajaokuta Village, Maternal Morbidity, Maternal Mortality, Reproductive Health, Reproductive Health Seeking Behaviour.
ANALISA TOTAL PRODUCTIVE MAINTENANCE MESIN EXTRUDER BERBASIS RISK FACTOR
Authors: Respati Muhammad Nabil Reza , Mukhtar M. Nushron Ali
Published: October 2023

Teknologi yang di pakai perusahaan semakin maju mengikuti perkembangan zaman, sehingga untuk menjamin kelancaran proses produksi harus selalu memperhatikan pemeliharaan produktivitas. Permasalahan yang terjadi adalah tingginya cost yang di timbulkan karena lamanya waktu downtime pada salah satu mesin, yaitu mesin extruder. Pada penelitian ini mengkaji tentang manajemen perawatan. Metode Overall Equipment Effectiveness (OEE) di gunakan untuk mengukur efisiensi perawatan. Analisis dari resiko operasional selama proses produksi menggunakan House Of Risk (HOR). Pengolahan data Overall Equipment Effectiveness dimulai dengan pengukuran tiga komponen yaitu Availability, Performance, dan Rate Of Quality. Dalam kurun waktu satu tahun, di dapatkan rata-rata nilai OEE mesin extruder pada tahun 2022 sebesar 74,04 %. Identifikasi resiko dilakukan pada proses maintenance mesin extruder. Hasil dari pengukuran effectiveness to difficulty ratio memperoleh 3 prioritas mitigasi pada mesin extruder di dapatkan nilai OEE di bawah overall plant efficiency 85%. Atas dasar tersebut, di pilih 6 risk agent dan 5 preventive action yang memberikan feedback paling tinggi pada resiko maintenance. Kerusakan part, kurangnya jadwal perawatan, dan gangguan kelistrikan merupakan Risk agent yang berpengaruh terhadap operasional extruder. Tindakan pencegahan yang bisa dilakukan adalah melaksanakan pengecekan mesin tiap minggu. ABSTRACTThe technology used by the company is increasing by the following times, to ensure a smooth production process had to heed to productivity maintenance. The problem that occurs is the high cost incurred due to the length of downtime on one of the machines, which is the extruder machine. This research examines maintenance management. The Overall Equipment Effectiveness (OEE) method is used to measure maintenance efficiency. Analysis of operational risks during the production process using the House of Risk (HOR). Overall Equipment Effectiveness data processing starts with measuring three components, Availability, Performance, and Rate of Quality. Within one year, the average OEE value of the extruder machine in 2022 was 74.04%. Risk identification is carried out in the extruder machine maintenance process. The results of measuring the effectiveness to difficulty ratio obtained three mitigation priorities on the extruder machine obtained an OEE value below the overall plant efficiency of 85%. On this basis, six risk agents and five preventive actions were selected that produced the highest feedback on maintenance risks. Part damage, lack of scheduled maintenance, and electrical interference are risk agents that affect extruder operations. Preventive action that can be done is to carry out machine checks every week.
PENJADWALAN PERAWATAN MESIN MILLING PIPE DENGAN PENDEKATAN SIMULASI MONTE CARLO PADA PT WPP
Authors: Firmansyah Moch. Faries , Widiasih Wiwin
Published: October 2023

PT WPP merupakan industri manufaktur yang memproduksi pipa stainlees. Karena keadaan daya saing bisnis saat ini, organisasi harus dapat mempertahankan ketergantungan peralatan manufaktur mereka untuk memastikan kelancaran proses produksi.. PT WPP mengaplikasikan metode preventive maintenance pada perawatan mesin produksinya hanya saja dalam penentuan jadwal belum optimal, hanya berlandaskan patokan dari kegagalan-kegagalan yang terjadi sebelumnya. Dalam mesin produksi pipa stainlees, PT WPP memiliki 3 mesin produksi yaitu mesin slitter, mesin milling pipe, dan mesin polishing. Mesin produksi yang memiliki breakdown tertinggi yaitu mesin milling pipe dengan frekuensi breakdown 444. Berdasarkan analisis pareto didapatkan 8 komponen kritis  dengan downtime tertinggi yaitu abrasive, gearbox, sander, cutter, as cutter, welding, water pump, dan hower. Simulasi monte carlo dapat menguji jadwal perawatan yang optimal. Hasil dari Simulasi didapatkan interval waktu perawatan preventive untuk komponen abrasive 11 hari, komponen gearbox 15 hari, komponen sander 23 hari, komponen cutter 9 hari, komponen as cutter 170 hari, komponen welding 43 hari, komponen water pump 32 hari, dan komponen hower 25 hari. Dengan mengaplikasikan interval waktu optimum dapat meningkatkan keandalan menjadi 35,33% hingga 65,33%.                       ABSTRACT PT WPP is a manufacturing industry that produces stainless steel pipes. Due to the current state of business competitiveness, organizations must be able to maintain dependence on their manufacturing equipment to ensure the smooth running of the production process. PT WPP applies the preventive maintenance method to the maintenance of its production machines but the schedule is not optimal, only based on the benchmark of failures that occur previously. In terms of stainless steel pipe production machines, PT WPP has 3 production machines namely slitter machines, pipe milling machines and polishing machines. The production machine that has the highest breakdown is the pipe milling machine with a breakdown frequency of 444. Based on the Pareto analysis, 8 critical components with the highest downtime are obtained, namely abrasives, gearbox, sander, cutter, axle cutter, welding, water pump, and hower. Monte carlo simulation can test the optimal maintenance schedule. The results of the simulation obtained preventive maintenance time intervals for abrasive components 11 days, gearbox components 15 days, sander components 23 days, cutter components 9 days, axle components cutter 170 days, welding components 43 days, water pump components 32 days, and hower components 25 day. Applying the optimum time interval can increase the reliability to 35.33% to 65.33%.
МАШИНАЛЫҚ ОҚЫТУДЫ ПАЙДАЛАНЫП СӨЙЛЕУ ЭМОЦИЯЛАРЫН ТАНУ
Authors: Ералханова А.Т.
Published: October 2023

С развитием технологий распознавания мультимедийных образов, которая позволяет извлекать и анализировать большие объемы мультимедийной информации из видео- и аудио- источников, наблюдается большой рост применения технологии машинного обучения с использованием глубокого обучения для решения различных задач. Распознавание речевых эмоций (или классификация) – одна из самых сложных тем в науке о данных. В этой работе, мы использовали архитектуру на основе MLP-классификатора, которая извлекает мел- частотные кепстрал коэффициенты, хромограммы, мел-шкале спектрограммы из звуковых файлов и использует их в качестве входных данных нейронной сети для идентификации эмоций, используя образцы из Райерсон аудиовизуальной базе эмоциональной речи и песни (RAVDESS). Была разработана модель нейронной сети для распознавания четырех эмоций (спокойствие, гнев, страх, отвращение). Данная модель классифицирует речевые эмоции с точностью 83,33%. Ключевые слова: голос, распознавание эмоций, MLP-классификатор, RAVDESS, jupyter notebook, Python.

Бейне және дыбыс көздерінен мультимедиялық ақпараттың үлкен көлемін шығаруға және талдауға мүмкіндік беретін мультимедиялық кескінді тану технологияларының дамуымен әртүрлі мәселелерді шешу үшін терең оқытуды пайдалана отырып, машиналық оқыту технологиясын пайдаланудың айтарлықтай өсуі байқалды. Сөйлеу эмоциясын тану (немесе жіктеу) деректер ғылымындағы ең күрделі тақырыптардың бірі болып табылады. Бұл жұмыста біз MLP классификаторы негізіндегі архитектураны қолдандық. Райерсон эмоционалды сөйлеу мен әннің аудио-визуалды дерекқорынан (RAVDESS) үлгілерді пайдалана отырып, аудио файлдардан мел-жиілігінің кепстрал коэффициенттері, хромограммалар, мел-шкаласындағы спектрограммалар шығарылып, эмоцияларды анықтау үшін олар нейрондық желінің кірісі ретінде пайдаланылды. Төрт эмоцияны (тыныштық, ашу, қорқыныш, жиіркеніш) тану үшін нейрондық желі моделі әзірленді. Бұл модель сөйлеу эмоцияларын 83,33% дәлдікпен жіктейді. Түйін сөздер: дауыс, эмоцияны тану, MLP классификаторы, RAVDESS, jupyter notebook, Python.

With the development of multimedia image recognition technologies, which allows extracting and analyzing large amounts of multimedia information from video and audio sources, there has been a large increase in the use of machine learning technology using deep learning to solve various problems. Speech emotion recognition (or classification) is one of the most complex topics in data science. In this work, we used an MLP classifier-based architecture that extracts chalk-frequency cepstral coefficients, chromograms, chalk-scale spectrograms from audio files and uses these as input to a neural network for emotion identification using samples from the Ryerson Audio-Visual Emotional Speech and Song (RAVDESS). A neural network model was developed to recognize four emotions (calm, anger, fear, disgust). This model classifies speech emotions with an accuracy of 83.33%. Keywords: voice, emotion recognition, MLP classifier, RAVDESS, jupyter notebook, Python.
ЛАУРИЧЕЛЛА ЖҮЙЕЛЕРІНЕН АЛЫНҒАН АЗҒЫНДАЛҒАН ЖҮЙЕЛЕРДІҢ КӨП ӨЛШЕМДІ ҚАЛЫПТЫ-РЕГУЛЯРЛЫ ШЕШІМДЕРІ
Authors: Исенова А.А.
Published: October 2023

В работе изучены возможности построения нормально-регулярных решений вырожденных систем полученных из систем Лауричелла путем предельного перехода. Исследованы ряд важных частных случаев систем, с решениями в виде нормально-регулярных решений. Доказаны некоторые свойства таких рядов, установлены связь этих рядов с вновь введенными функциями В.И.Художникова. Установлены также необходимые условия существования нормально-регулярных решений систем типа Горна состоящих из двух и более уравнений. Построенные новые решения являются обобщениями известных функции Горна и Гумберта двух переменных. Необходимые и достаточные условия существования нормально-регулярных решений системы устанавливаются с помощью понятия ранга и антиранга. Для построения решения применяются модифицированный метод Фробениуса-Латышевой. Ключевые слова: связь, свойства, нормально-регулярные решения, гипергеометрическая функция, система Горна, система Лауричелла, функция В.И.Художникова.

Жұмыста шекті ауысу арқылы Лауричелла жүйелерінен алынған азғындалған жүйелердің қалыпты-регулярлы шешімдерін құру мүмкіндіктері зерттелді. Шешімдері қалыпты-регулярлы шешімдер түрінде болатын жүйелердің бірқатар маңызды ерекше жағдайлары зерттелді. Мұндай қатарлардың кейбір қасиеттері дәлелденді, осы қатарлардың В.И.Художников жаңадан енгізілген функцияларымен байланысы орнатылды. Сондай-ақ, екі немесе одан да көп теңдеулерден тұратын Горн типті жүйелердің қалыпты-регулярлы шешімдерінің болуы үшін қажетті шарттары орнатылған. Тұрғызылған жаңа шешімдер белгілі Горн және екі айнымалылы Гумберт функцияларының жалпылауы болып табылады. Жүйенің қалыпты-регулярлы шешімдері бар болуының қажетті және жеткілікті шарттары ранг және антиранг ұғымдары арқылы орнатылады. Шешімді құру үшін модификацияланған Фробениус-Латышева әдісі қолданылады. Түйін сөздер: байланыс, қасиеттер, қалыпты-регулярлы шешімдер, гипергеометриялық функция, Горн жүйесі, Лауричелла жүйесі, В.И. Художников функциясы.

In this paper, the possibilities of constructing normal-regular solutions of degenerate systems obtained from Laurichella systems by limiting transition are studied. A number of important special cases of systems with solutions in the form of normally regular solutions are investigated. Some properties of such series are proved, the connections of these series with the newly introduced functions of V.I. Khudozhnikov are established. The necessary conditions for the existence of normally regular solutions of Horn-type systems consisting of two or more equations are also established. The constructed new solutions are generalizations of the well-known Horn and Humbert functions of two variables. The necessary and sufficient conditions for the existence of normally regular solutions are established using the concepts of rank and antirank. A modified Frobenius-Latysheva method is used to construct the solution. Keywords: connection, properties, normal-regular solutions, hypergeometric function, Horn system, Laurichella system, V.I. Khudozhnikov function.
ПРИМЕНЕНИЕ МЕТОДОВ МАШИННОГО ОБУЧЕНИЯ НА РЫНКЕ НЕДВИЖИМОСТИ АЛМАТЫ
Authors: Сапакова С.З.
Published: October 2023

Бұл жұмыста Алматы қаласының Әуезов және Бостандық аудандары бойынша жылжымайтын мүлік нарығы қарастырылды. Бұл нарық әлемдік экономиканың маңызды саласы екені белгілі. Қазақстанда тұрғын үй жылжымайтын мүлік нарығы көптеген ерекшеліктерімен сипатталатын жүз мыңдаған пәтерлерден тұратын күрделі құрылым болып табылады. Бұл ретте нарықтағы кез келген өзгерістер алыпсатарлыққа және жылжымайтын мүлік бағасының әдейі көтерілуіне себеп болуы мүмкін. Сондықтан пәтердің нақты құны қандай және қай жерде қымбаттырақ екенін түсіну маңызды. Зерттеу барысында машиналық оқыту әдістерін пайдалана отырып, жылжымайтын мүліктің құнын болжау моделін құру қарастырылды. Жұмыста машиналық оқытудың бірнеше алгоритмі: Linear Regression, Lasso, Ridge, Decision Tree Regression, Random Forest Regression, SVМ (Gaussian kernel) қолданылды, олардың жұмыс нәтижелері мен дәлдіктері көрсетілді. Түйiн сөздер: машиналық оқыту, жылжымайтын мүлік, мәліметтерді өңдеу, регрессиялық талдау, алгоритм.

В данной работе был рассмотрен рынок недвижимости в Ауэзовском и Бостандыкском районах города Алматы. Известно, что этот рынок является важным сектором мировой экономики. Рынок жилой недвижимости Казахстана представляет собой сложную структуру, состоящую из сотен тысяч квартир, характеризующихся многими особенностями. В то же время любые изменения на рынке могут стать причиной спекуляций и преднамеренного повышения цен на недвижимость. Поэтому важно понимать, какова реальная стоимость квартиры и где она дороже. В ходе исследования было рассмотрено создание модели прогнозирования стоимости недвижимости с использованием методов машинного обучения. В работе использовались несколько алгоритмов машинного обучения: Linear Regression, Lasso, Ridge, Decision Tree Regression, Random Forest Regression, SVM (Gaussian kernel), показаны результаты их работы и точность. Ключевые слова: машинное обучение, недвижимость, обработка данных, регрессионный анализ, алгоритм.

In this work, the real estate market in Auezov and Bostandyk districts of Almaty city was considered. It is known that this market is an important sector of the world economy. The residential real estate market in Kazakhstan is a complex structure consisting of hundreds of thousands of apartments characterized by many features. At the same time, any changes in the market can cause speculation and deliberate increase in real estate prices. Therefore, it is important to understand what the real cost of the apartment is and where it is more expensive. In the course of the study, the creation of a real estate value prediction model was considered using machine learning methods. Several algorithms of machine learning: Linear Regression, Lasso, Ridge, Decision Tree Regression, Random Forest Regression, SVM (Gaussian kernel) were used in the work, their work results and accuracy were shown. Keywords: machine learning, real estate, data processing, regression analysis, algorithm.