bluuebunny/crossref_metadata_2025 huggingface dataset:
Hubungan Pengetahuan Ibu tentang Pentingnya 1000 Hari Pertama Kehidupan dengan Tumbuh Kembang Anak
Authors: Angelica Valerie , Stella Sancka , Solehudin Solehudin
Published: July 2024

Introduction: Insight into the mother's knowledge of the importance of the first 1000 days of life and child growth and development is very important because child development is related to maternal stimulation. In preliminary studies, it was found that most children experienced delays in motor, cognitive, language, and socio-emotional. If the mother's knowledge of the first 1000 days of life is lacking, it will cause the growth and development of the child to be less than optimal.
Objectives: To find out the relationship between the mother's knowledge about the importance of the first 1000 days of life with the child's growth and development.
Method: Analytical research of correlation with cross sectional correlation approach.  A sample of 50 respondents from a total population of 100 respondents was taken by purposive sampling technique. This research instrument uses questionnaire sheets. This study used the Spearmen Rank correlation statistical test.
Result: The results of the mother's knowledge of the importance of the first 1000 days of life with child growth and development obtained a value of Sig-value = 0.351. This means according to the Spearmen Rank test if the value of Sig-value = >0.050 then this study proved that there is no relationship between maternal knowledge about the importance of the first 1000 days of life with child growth and development.
Conclusion: There is no relationship between the mother's knowledge about the importance of the first 1000 days of life and the child's growth and development.
Analisis Resiko Kerja dan Upaya Pengendalian Bahaya pada Personel Grup A di Paspampres Jakarta Tahun 2022
Authors: Fitrianie Bella , Sari Agustina , Yaser Muhamad
Published: July 2024

Pendahuluan: Menurut BPJS Ketenagakerjaan pada tahun 2020, jumlah kecelakaan kerja mencapai 153.044 kasus. Angka tersebut turun 1,46% dibandingkan tahun 2019 yaitu 155.327 kasus. Berdasarkan lokasi kejadian, kecelakaan kerja terbanyak sebanyak 104.823 kasus atau setara 68,9% terjadi di lingkungan kerja.
Tujuan: Untuk menganalisis risiko kerja dan upaya pengendalian bahaya pada personil golongan a di Paspampres tahun 2022.
Metode: Metode penelitian ini menggunakan pendekatan kualitatif. Instrumen penelitian yang dipakai berupa HIRARC. Informan penelitian berjumlah tiga orang yaitu penanggung jawab HSE, HR Manajer dan petugas lapangan. Adapun  instrumen pendukung berupa pedoman wawancara, dokumen terkait, telepon genggam (kamera dan perekam). Analisis data pada penelitian ini, meliputi reduksi data, penyajian data, dan penarikan kesimpulan.
Hasil: Hasil identifikasi bahaya pelatihan pada personel sebagian besar 15 bahaya yang dapat menimbulkan korban jiwa, pengkajian risiko dalam pelatihan ditemukan 14 risiko dan pengendalian risiko yang telah dilakukan Paspampres yaitu dengan pemberian APD berupa sarung tangan rappelling dan tali cepat, tali karmantel, masker gas, full body harness, rompi anti peluru, helm mata statis, dan lain sebagainya.
Kesimpulan: Sebagian besar bahaya dapat mengancam jiwa dimana sebanyak 14 risiko telah diidentifikasi, dan Paspampres telah mengendalikan risiko tersebut dengan memberikan peralatan perlindungan diri (APD).
Stop Bullying, Jaga Kesehatan Mentalmu dan Budayakan Sikap Menghargai
Authors: Pramudita Widya Rachma , Rindu Rindu , Fathan Fadhillah , Ilhamsyah Aldi , Ramadhani Alicia Hera , Yuniarti Arum Tri , Karepesina Juliyanti , Fardyanti Nadhir Saffana Tedja , Nurkarimah Resa , Syuni Ridho Maulyza Tryas , Aranda Rizky , Habibah Salma Putri , Putri Sonia Wahyu Amanda , Aisyah Tiara Safa , Purnama Muhammad Gian , Mony Sara , Daeli Perdamaian , Laleda Miranti Blandin
Published: July 2024

Pendahuluan: Perundungan, atau bullying, adalah masalah global termasuk di Indonesia. Menurut Survei Kesehatan Pelajar Berbasis Sekolah Global (GSHS) tahun 2015, sekitar 20,6% siswa melaporkan pengalaman menjadi korban bullying. Dalam konteks ini, permasalahan yang muncul adalah kurangnya kesadaran terhadap bullying dan dampaknya. Untuk mengatasi hal ini, diperlukan pendekatan komprehensif, melibatkan semua komponen sekolah dan melibatkan program-program pendidikan yang menekankan nilai-nilai seperti menghormati perbedaan, empati, dan resolusi konflik sehat.
Tujuan: Pengabdian kepada masyarakat ini bertujuan untuk meningkatkan pemahaman serta kesadaran akan masalah tersebut melalui penyuluhan kepada siswa, guru, orang tua, dan tenaga pendidik.
Metode: Metode yang digunakan adalah Pendidikan Masyarakat. Metode ini bertujuan untuk meningkatkan pemahaman serta kesadaran akan masalah tersebut melalui penyuluhan dengan teknik-teknik seperti ceramah, diskusi, dan penggunaan media visual, diharapkan peserta dapat memahami dampak bullying dan cara-cara untuk mencegah serta menangani situasi tersebut. Digunakan juga kuesioner sebagai alat pengumpulan data. Pengumpulan data yang dilakukan dari data primer (kuesioner berbentuk soft file) menggunakan google form. Data diolah dan dianalisis menggunakan MS. Office.
Hasil: Berdasarkan hasil pre-test dan post-test yang diperoleh dengan menyebarkan kuesioner angket melalui google form, didapatkan hasil pada sebelum dilakukan penyuluhan paling banyak peserta mendapat nilai 100 hanya Sebanyak 3 Orang peserta (3,1%) dan setelah dilakukan penyuluhan terdapat perubahan perolehan nilai berawalan 3 orang peserta manjadi 41 (43,1%) peserta.
Kesimpulan: Penyuluhan tentang Bullying dan Kesehatan Mental berhasil meningkatkan pengetahuan peserta berdasarkan hasil pre-test dan post-test. Kolaborasi antara tenaga kesehatan masyarakat, pihak sekolah, dan siswa telah membuktikan efektivitasnya dalam meningkatkan pemahaman dan kesadaran siswa terhadap isu-isu yang disampaikan.
Meningkatkan Literasi Membaca melalui Inisiatif Taman Baca dan Workshop Literasi di kelurahan Cipondoh
Authors: Nargis Nargis , Putra Aidil Syah , Gunawan Yudhie Indra
Published: July 2024

Latar   belakang: Kegiatan pengabdian masyarakat ini didorong oleh rendahnya minat baca di kalangan anak-anak usia sekolah. Membaca adalah salah satu indikator penting yang menentukan kemampuan seseorang dalam mengakses dan memanfaatkan informasi.
Tujuan: Pengabdian Masyarakat ini bertujuan untuk meningkatkan minat membaca anak-anak usia sekolah dengan cara mendirikan taman baca di RT 03, yang dilakukan oleh mahasiswa/i Universitas Muhammadiyah Tangerang dalam program KKN Cipondoh.
Metode:  Pendirian taman baca dan penyelenggaraan workshop literasi membaca untuk meningkatkan minat baca anak dilakukan oleh mahasiswa KKN Cipondoh bersama dosen-dosen Universitas Muhammadiyah Tangerang. Workshop literasi membaca untuk menumbuhkan minat baca anak-anak diadakan oleh dosen pembimbing lapangan dan koordinator DPL secara langsung pada tanggal 07 September 2023, bertepatan dengan acara penutupan KKN Cipondoh. Peserta pengabdian ini adalah RT 03 dan RW 01 Kelurahan Cipondoh, Kecamatan Cipondoh.
Hasil: Setelah mengikuti pengarahan dalam workshop yang dihadiri oleh pejabat kelurahan, masyarakat, dan anak-anak berusia 5-15 tahun, mereka sangat antusias menyambut taman baca tersebut. Mereka segera mulai membaca setelah taman baca diresmikan oleh kelurahan, dosen, dan mahasiswa KKN Cipondoh.
Kesimpulan: Kegiatan pengabdian masyarakat ini sukses meningkatkan literasi membaca di kalangan masyarakat Kecamatan Cipondoh, Tangerang, melalui inisiatif Taman Baca berbasis komunitas. Program ini juga berhasil meningkatkan kesadaran masyarakat tentang pentingnya membaca dan pembelajaran sepanjang hayat.
Extratos aquosos da fungicultura no manejo de doenças em pimentão: uma revisão
Authors: Monteiro Robson Eduardo Pereira , Monteiro Gabriela Barbosa de Freitas , Nunes Maria Silvana , Silva Hilderlande Florêncio da , Silva Edcarlos Camilo da , Silva Jakeline Florêncio da , Nascimento Analberto Ian de Oliveira , Carvalho Neto Severino de , Araújo Matheus Henrique Cardoso de , Cruz Adiel Felipe da Silva , Zárate-Salazar Jhonatan Rafael , Nascimento Luciana Cordeiro do
Published: July 2024

O pimentão (Capsicum annuum L.), é uma cultura de grande importância econômica, social e ambiental, a qual apresenta funcionalidade nutracêutica, com produção mundial superior à 36 milhões de toneladas. No entanto seu cultivo e produção podem ser severamente afetados por doenças como a antracnose (Colletotrichum spp.) e fusariose (Fusarium spp.) que podem inviabilizar a colheita e comercialização. Tratamentos alternativos aos fungicidas, como extratos da fungicultura (cogumelos e seu substrato pós-cultivo), tem demonstrado eficiência no controle de fungos e proteção de plantas.  Neste sentido, o objetivo deste estudo foi enfatizar a importância do manejo anternativo de doenças em pimentão, principalmente quanto ao uso de extratos aquosos da fungicultura. Foram realizadas pesquisas, por meio das bases de dados “Portal de Periódicos CAPES”, “ScienceDirect", “Scopus”, “Google scholar”, como também em bases de dados governamentais. A busca foi realizada entre entre o período de dezembro de 2023 a fevereiro de 2024. O método de exclusão foi a partir da leitura dos títulos, resumos e o artigo por completo, sendo a exclusão realizada em cada uma destas fases. Constatou-se com a pesquisa a importância da cultura do pimentão, seja em aspectos sociais ou econômicos, as principais doenças responsáveis por baixo rendimento na cultura, como também a inviabilização da produção e comercialização, causado principalmente pela antracnose. Os estudos evidenciaram a importância de um manejo alternativo de doenças na cultura de pimentão, ante ao uso de produtos químicos, ressaltando o uso de extratos da fungicultura, como dos cogumelos Pleurotus ostreatus, Lentinula edodes e Ganoderma lucidum, como agentes de biocontrole e indutores de resistência promissores no controle de doenças em plantas. Portanto, esta revisão destaca o potencial significativo dos extratos aquosos da fugicultura, sejam eles dos cogumelos ou substrato pós-cultivo como agentes de biocontrole de doenças em plantas, possibilitando uma agricultura sustentável e valorização de uma economia circular. Em vista disso, pesquisas adicionais são necessárias, como espécies de cogumelos e seus substratos utilizados, métodos de extração, constituintes dos extratos, para compreender seus mecanismos de ação, eficácia e limitações.
Uso de culturas de cobertura como ferramenta na estratégia de manejo de buva
Authors: Rodrigues Pedro James Almeida Wolney , Cardoso Junior Osvaldo Soares , Cardoso Hélio Pereira Oliveira , Laet Gabriela da Costa , Mendes Suyla Brenna Dias , Nunes Marcos Euzébio
Published: July 2024

O crescente uso do glyphosate, um herbicida flexível aplicável em diferentes estágios de crescimento de plantas daninhas, levou à seleção de biótipos resistentes. Nesse contexto, plantas de cobertura podem ser estratégias alternativas de manejo, suprimindo o crescimento das plantas daninhas. Desse modo, objetivou-se avaliar a supressão de Conyza spp. por biomassa de diferentes culturas de cobertura. O experimento foi conduzido entre o período de fevereiro a junho de 2023 em condições de vaso, em campo aberto. O delineamento experimental foi montado em blocos casualizados em esquema fatorial (2x5). Os fatores consistiram em duas culturas de cobertura, Mucuna-preta (Mucuna aterrima) e Braquiária (Urochloa brizantha), e cinco níveis de fitomassa seca na superfície do solo (0, 4, 8, 12 e 16 Mg ha-1), com quatro repetições. Foram realizadas contagens diárias de plantas para determinação do Índice de Velocidade de Emergência e aos 50 dias, foi determinado o número total de plantas emergidas, a fitomassa seca da parte aérea, a fitomassa seca das raízes e o volume radicular.  Os tratamentos M. aterrima 16 Mg ha-1; U. brizantha 12 e 16 Mg ha-1 se destacaram com maiores supressões sobre o desenvolvimento da fitomassa seca aérea, radicular e volume radicular. Por sua vez, para os parâmetros índice de velocidade de emergência e número de plantas emergidas, o destaque foi o tratamento M. aterrima 16 Mg ha-1. O estudo destacou a eficiência das culturas de cobertura na supressão da buva, especialmente em taxas mais elevadas.
Gestão hospitalar humanizada para acolhimento de pacientes em serviços públicos de saúde
Authors: Santos Elenito Bitencorth
Published: July 2024

A humanização das práticas nos serviços público de saúde deve ser realizada por uma equipe hospitalar bem treinada, o que é crucial para a administração qualificada no atendimento ao paciente que procuram esses serviços. A gestão hospitalar que se concentra na humanização, promove abordagens mais compassivas, empáticas e centradas no paciente, criando possibilidades que melhorem a qualidade do serviço, o bem-estar de seu paciente e a satisfação dos profissionais de saúde envolvidos. Contextualizar estratégias e ações necessárias pode refletir um senso de responsabilidade na equipe, promovendo melhores práticas de cuidados de saúde e aumentando o acesso dos pacientes aos serviços públicos de saúde. Isto se baseia na análise e reflexão sobre estratégias que podem potencialmente melhorar a qualidade de vida. A metodologia de abordagem é qualitativa, o que permite uma interpretação mais aprofundada do tema, revelando a complexidade do comportamento humano como impulsionador das práticas de cuidado em saúde. Nesse contexto, é possível afirmar que o agente que desempenha o papel de gestor, líder, gerente ou chefe de departamento, incluindo-se neste contexto o profissional enfermeiro, tenha consciência sobre a incumbência de propor ações estratégicas que venham ao encontro das necessidades dos indivíduos com responsabilidade e em conformidade com os preceitos assistenciais básicos estabelecidos pelas instituições organizacionais.
Optimizing data mining processes in government databases: a comprehensive approach to strategic information analysis
Authors: Borges Rodrigo Cândido , Silva Rogério Sousa e , Lima Henrique Valle de , Batista Karla de Aleluia , Souza Daniel Soares de
Published: July 2024

In the current technological era, marked by the massive and continuous generation of data, information must go beyond mere raw data analysis. In the governmental context, detailed data analysis is crucial to aid in the understanding and deep comprehension of complex phenomena within public administration. This type of analysis is essential for driving public policy formulation, allocating resources efficiently, and generating positive societal impacts. This article thus explores the application of data mining techniques in governmental contexts and related databases. Through a critical review of practical cases drawn from the literature, the study seeks to discuss the complexities and challenges inherent in mining data from governmental databases. The analyzed cases provide a comprehensive view of the methodologies used, highlighting best practices and common obstacles faced in the process of extracting valuable information from large volumes of governmental data. The investigation covers various aspects of data mining, from data collection and cleaning to the selection and application of specific algorithms for interpreting results. By addressing these elements, the article offers insights into the techniques and strategies for applying data mining in governmental contexts. This study is designed to serve as a reference for both researchers and professionals operating at the intersection of data science and public administration. Additionally, it aims to inform decision-making processes in the public sector, promoting more effective and efficient governance. By offering detailed insights into best practices, potential pitfalls, and emerging trends in the field of governmental data mining, the article contributes to enriching academic and professional discourse. Furthermore, it seeks to enhance public sector governance by providing the tools and understanding necessary for improved policy-making and resource management.
Predictors for Successful Pregnancy Following Hystro-Laparoscopic Intervention among Infertile Females: A Cohort Study
Authors: Murshid Rafal Mustafa , Nori Wasan , Obaid Reshed Zeki , Akram Wisam
Published: July 2024

Background: Infertility is a major medical and sociopsychological problem that impacts a couple's life. Investigations help guide therapeutic intervention by exploring underlying causes. Hysteroscopy can identify and treat intrauterine pathologies such as adhesion, septum, and endometrial polyps. Laparoscopy has a diagnostic and therapeutic role in the pelvic cavity, including tubal blockage, pelvic adhesions, endometriosis, and polycystic ovaries. Objective: To evaluate the value of combined hystro-laparoscopic interventions in managing female infertility and to explore predictors for a successful pregnancy. Methods: A retrospective cohort study enrolled (142) eligible females who underwent hystro-laparoscopy. Participants' demographic criteria were recorded. Additionally, intraoperative interventions (hysteroscopic removal of the polyp and septum) and laparoscopic removal of pelvic adhesions, removal of the chocolate cyst, ovarian drilling and laparoscopic chromotubation). All patients were followed up for six months. Logistic regression and odd ratio were used to assess the intervention's reliability in predicting pregnancy. Results: Clinical pregnancy was reported in 48/142, with a success rate of 33.8%. Pregnant women had significantly lower ages and lived in urban areas. Laparoscopic adhesion removal and tubal block correction reliably predicted clinical pregnancy, with adjusted odds ratios (AOR) of 0.25; 95% CI (0.08–0.78) and 0.40; 95% CI (0.16-0.98), respectively. None of the hysteroscopic interventions was statistically significant. Conclusions: Because hystero-laparoscopic procedures improve the chances of getting pregnant and are minimally invasive, they are an important part of fertility workups and can be used to diagnose and treat fertility problems.
The Hidden Relay
Authors: de Boer Peter
Published: July 2024

Reproduction and genetics are the central themes of biology. They relate to big questions of life such as: who are we, where do we come from, and where are we going? In the combined science of reproductive genetics, generations are interconnected and fertility plays a significant role. The cell lineage responsible for this is known as the germline, with gametes as the functional products and heralds of information. The book follows the germline and attempts, through a more liberal and narrative use of language, to bridge the gap between an academic textbook and society.
On The Analysis of Some Deep Learning Algorithms for Object Detection and Applications
Authors: Sandy Sandy ,   Faculty of Informatics Engineering, Albaath University, Syria
Published: July 2024

The traditional methods of discovering objects no longer meet the requirements of the times as a result of their reliance on non-dynamic methods and as a result of their slow performance in light of the world's dependence on a huge amount of multimedia and social media. With the rapid development of deep learning providing more powerful tools capable of manipulating high-level and complex semantic features of objects. Several techniques have been developed to detect objects using deep learning algorithms. This research presents a comparative analysis of the most famous deep learning techniques for object detection, explaining their mechanisms, use cases and an experimental evaluation of their performance.
The Impact of Social Media on Democratic Politics in the Western Background
Authors: Chen Keyan
Published: July 2024

The advent of social media has revolutionized the landscape of Western politics, presenting both opportunities and challenges. This paper explores the profound impact of social media on political engagement and discourse, analyzing its effects through the lens of social psychology, media theories, and political science. This paper recognizes that while social media platforms have democratized access to political dialogue and fostered cross-cultural exchange, they have also exacerbated polarization and disseminated misinformation. Furthermore, this paper recognizes that through the formation of insular online communities and the proliferation of demagoguery, social media has intensified societal divisions and eroded trust in democratic institutions. Moreover, the anonymity of social media has facilitated the spread of fake news, undermining the integrity of public discourse. This paper underscores the urgent need for effective regulation and critical media literacy initiatives to mitigate the negative consequences of social media on Western politics and promote informed civic engagement.
Role-play Interaction and Language Improvement: A New Language Learning Strategy for Children in Large Classes
Authors: Han Peitong
Published: July 2024

In the 21st century, with the rapid development of global information technology, the improvement of language ability has become a key element of children's comprehensive development. Peer communication ability is of great significance to children's social communication, and kindergarten is the key period to cultivate children's peer communication ability. Role-play interaction is one of children's favorite games. Children interact with their peers by playing various roles in the game, and then develop their peer communication abilities. It can be seen that role-play has an important and unique value for cultivating children's peer communication abilities. The purpose of this study is to explore the relationship between role-play interaction and language improvement, so as to find new strategies and methods for language education for large class children. The significance of this study is that it can not only help teachers better understand the level of language development of children in large classes, but also help parents provide better guidance to promote the common development of the family, which can also lay a solid language foundation for children in large classes.
Exploration of various predictive models for the National Basketball Association
Authors: Bao Will , Liang Hanyin , Liu Ashley , Yang Kevin , Zhang Terry
Published: July 2024

This research paper explores the application of various predictive models for the National Basketball Association (NBA), with the aim of predicting game outcomes and margins of victory for the 2015- 16 season. The research focuses on three, distinct models, all created using the statistical analysis software Rthe mean score difference model, the weighted mean wins model, and the team strength model. Each model employs different methodologies and data analysis techniques to predict game outcomes and team strengths. Our study found that the team strength model and mean score difference model performed best due to their use of point margins as their primary variable, while the weighted mean wins model was less accurate due to its use of wins and losses. None of the models, however, were able to match the predictions from sports gambling organizations, called the bookies, showing that much more work is needed, not only to surpass the bookie models but to inch closer from prediction to actuality.
A deep dive into generative modeling: Evaluating DF-GANs, DM-GANs, and AttnGAN
Authors: Tong Haojing
Published: July 2024

Generative Adversarial Networks (GANs) have become pivotal for generating synthetic data. This paper conducts a comprehensive comparison of three cutting-edge GAN models. In particular, this study delved deep into the architectural intricacies, strengths, and limitations of each model, emphasizing their distinct features and mechanisms. DF-GANs focus on producing natural images with a single-stage backbone, DM-GANs leverage memory structures to enhance model performance, while AttnGAN employs attention-driven, multi-stage refinement for precise text-to-image generation. Through a series of literature search, this study evaluates the applicability of these models in various scenarios, offering insights into their practical implications and potential areas of improvement. This comparative study aims to serve as a reference point for researchers and practitioners alike, shedding light on the contemporary advancements in GAN technology and guiding future developments in the domain.
Investigation related to application of Generative Adversarial Networks in text-to-image synthesis
Authors: Xu Yun
Published: July 2024

Recent research attention has been captivated by the advent of Generative Adversarial Networks (GANs) in the realm of generating visuals from textual descriptions. Within a GAN framework, the interplay between the discriminator and generator components facilitates the production of lifelike visuals. This method proves to be versatile and user-friendly, allowing for the generation of authentic, diverse, and semantically faithful conditional images. However, the field still has to solve two issues: the development of high-resolution images with multiple elements and the construction of proper evaluation criteria that correlate with human perception. This paper contextualizes a number of adversarial text-to-image generation models and their core principles. This article engages in a comprehensive examination of the current methodologies employed in the analysis of text-to-image generation models, emphasizing their limitations and proposing avenues for future advancements. The discussion within this article centers on the utilization of generative adversarial networks in text-to-image synthesis, offering researchers both a comparative analysis and a benchmark for their text-to-image generation studies.
Research on key factors of flight delays in the United States based on data mining
Authors: Wang Zicheng
Published: July 2024

Flight delays in the United States pose a significant global challenge. With the continuous growth of the aviation industry, the increasing number of flights raises demands on transportation infrastructure, making flight delay a serious challenge affecting the aviation industry and passengers. Through comparative analysis, we found that the average flight duration and departure times of delayed flights were significantly later than those of non-delayed flights. Additionally, the delay rates were highest in California and lowest in Texas for both departure and arrival locations. Using cluster analysis, major airlines in the United States were classified into three categories. Factor analysis was employed to analyse the correlations among different factors. Logistic regression revealed a positive correlation between departure times, flight durations, and flight delays. Conversely, the day of the week showed a negative correlation with flight delays. These studies provide practical insights for improving flight punctuality and enhancing the aviation transportation system. This, in turn, aids airlines in optimizing operations and mitigating the adverse impacts of delays on the economy and passengers.
Research on the design of non-invasive load monitoring system
Authors: Chen Taizhong
Published: July 2024

In industrial production, machine failure will cause production efficiency decline, maintenance costs increase and other problems, while the traditional manual maintenance can only be carried out after the failure, cannot play an early warning effect, and has low efficiency. Non-invasive load identification and condition estimation can predict upcoming failures, remind maintenance in time, reduce failures, and improve production efficiency. In this paper, a non-intrusive load monitoring system is designed based on a non-contact high-frequency synchronous power data acquisition device. A non-intrusive on-line load monitoring system is constructed by building the load feature database offline and training the model. After event detection and feature extraction of the data sent by the power data acquisition device to the server, these data are input into the model for load identification. The experimental results show that the system has high precision of load identification and can meet the needs of practical life and engineering.
Ensuring information security and stability: The application of blockchain in naming system
Authors: Liu Zerong
Published: July 2024

In recent years, network information security and stability problems have emerged one after another, and people's personal privacy and property security are being threatened. A large part of these problems are caused by two major characteristics of traditional DNSinsecurity and instability. Therefore, this article aims to explore a new internet naming system the Blockchain Naming Systemto address the current issues of internet information security and stabilityespecially the problems caused by the traditional DNS system. This article adopts scientific research methods such as literature survey, comparative research, experimental exploration, analogy research, and model building. By analyzing the current situation, studying the feasibility of the blockchain naming system, and comparing its advantages and disadvantages with the traditional DNS system, it is not difficult to conclude that this new blockchain naming system has huge potential. It can not only ensure stability and security but also contribute to other fields.
Experimental research on Bayesian methods in large-scale datasets
Authors: Gong Wenyi
Published: July 2024

The current study systematically examines the application of the Bayesian approach or Bayesian estimation methods in large-scale datasets, emphasizing their adaptability as well as predictive prowess across various domains. The study navigates the challenges inherent in the computational efficacy and scalability of these techniques to offer insights into their application in the fields of text analysis, image processing, recommendation systems, and social network analysis. The study uses experimental designs that highlight how well Bayesian methods perform in comparison to more conventional methods, emphasizing how much better they are able to handle uncertainty and incorporate prior knowledge. The future directions and possible enhancements of Bayesian techniques are also discussed, especially with regard to overcoming computational limitations by integrating machine learning and developing sophisticated algorithms. As a crucial tool for modern data analysis and predictive modelling, the study's conclusion upholds the critical role that Bayesian estimation plays in the world of big data.
Optimization of 4-links robot in stimulating robot area
Authors: He YanYi
Published: July 2024

Nowadays, robots can be considered as a symbol of advancement of internet and the multi-link robots represent interesting reference systems among various kinds of robots. 4-links robots can be obviously thought as a symbol of muti-robots and bionic robots owing to it takes inspiration of humans body parts, foot, leg, thigh, and torso, consisting of four links [1]. The technology of 4-links robot is still in its infancy. At the same time, the invention of hybrid robots gets more recognition and widely applied. Thus, it is necessary to analyze and optimize 4-link robots, to contribute to the progress in bionic robots and provide convenience for human life systematically and further. This report studies stimulation method of muti-links robots, which combines spring-mass robots and 4- links planar robots as a kind of hybrid robots and aims to conclude the relationships between springs and length per step, mass distribution and increase energy efficiency.
Integrating Virtual Reality and Building Information Modeling in environmental design: Enhancements, challenges, and future prospects
Authors: Feng Yifan , Wang Zekun , Guo Zongping , Feng Fan
Published: July 2024

This article provides an in-depth analysis of the integration of Virtual Reality (VR) and Building Information Modeling (BIM) in environmental design. It explores the enhanced immersive design experiences and client engagement facilitated by VR, alongside the comprehensive and collaborative advantages offered by BIM. The article discusses the significant improvements in design efficiency, accuracy, and a user-centered approach these technologies bring to the field. However, it also addresses the challenges and limitations, including technological barriers, data security concerns, and the integration with traditional methods. The future directions of VR and BIM in environmental design are examined, highlighting potential advancements and the need for a balanced approach towards their adoption and implementation. This study aims to provide a comprehensive overview of the current state and future potential of VR and BIM in reshaping environmental design practices.
Review of the data science in the field of healthcare
Authors: Hu Weiye
Published: July 2024

The world is entering the digital age, where advancements in computer technology have resulted in the emergence of data-driven applications in the healthcare sector. Data science is a multidisciplinary domain that employs scientific methodologies such as data mining techniques, machine learning algorithms, and big data to derive knowledge and insights from many types of structured and unstructured data. The healthcare business produces extensive datasets containing valuable information regarding patient demographics, treatment regimens, and tumor sizes. This study will examine the procedures of data purification, data mining, data preparation, and data analysis employed in healthcare applications, using methods of literature review and analysis. Efficiently managing and analyzing data can greatly benefit the healthcare industry. By leveraging data science, the application of data-driven decision-making in healthcare holds the potential to enhance the quality of healthcare services.
Analisis Peran Guru dalam Pembentukan Pendidikan Karakter Siswa Kelas IV Sekolah Dasar
Authors: Arifin Arifin , Nurhasanah Enung , Jamaah Jamaah
Published: July 2024

This research focuses on analyzing the role of teachers in forming the character of class IV students at SDN 17 Woja. The aim of this research is to analyze the role of teachers as educators, demonstrators, class managers, motivators and evaluators in the formation of student character, as well as to identify supporting and inhibiting factors in this process. The character values ​​that are the focus of the research include religious, honest, disciplined, independent, socially caring and responsible. This research uses a qualitative method with a descriptive approach. The data collection techniques used were observation, interviews and documentation involving fourth grade teachers and students as research subjects. Data analysis stages include data collection, data reduction, data presentation, and drawing conclusions. The validity of the data was tested using triangulation techniques. The results of the research show that the role of teachers in forming the character of class IV students at SDN 17 Woja includes several important aspects: (1) Teachers as educators, demonstrators, class managers, motivators and evaluators play a significant role in shaping student character, (2) Supporting factors identified were a conducive family environment and the availability of adequate facilities and infrastructure, while inhibiting factors included a lack of support from the family and several obstacles originating from the teachers themselves.
Incidence of Cestode Parasites and Assessment of Histopathological Alterations in the Intestine of Domestic Pigeons (Columba livia domestica) in District Hyderabad, Sindh, Pakistan
Authors: Soomro Bakhtawar , Memon Shakeel Ahmed , Mushtaq Sajida , Malik Sadia
Published: July 2024

The avian species are severely harmed by helminth parasites. Many of the parasites infected them via habitats, feeding habits, or by a few infected birds that coexist with them. Objective: To examine histological alterations caused by cestode parasites in the pigeon’s intestines in the district of Hyderabad, Sindh, Pakistan. Methods: One hundred (100) domestic pigeons (Columba Livia domestica) were used after that pigeons were dissected and their intestines were excised. Under the dissecting microscope and magnifying glass various parts of the intestine were examined to see the presence of the cestode parasites. The (H & E) staining method was applied for histological study. Results: The cestode parasites that infected the pigeons were identified as Choanotenia infundibulum, Raillietina cesticillus, and Cotugnia digonopora. Infected Pigeons had diarrhea, weakness, emaciation, and stunted development. Histopathological alterations in the intestine of pigeons caused by Cotugnia digonopora have disfigured the villus and glands. The intestinal architecture was destroyed, villi degraded, the muscle layer had holes, and glands were distorted by Raillietina cesticillus and Choanotenia infundibulum, respectively. Conclusions: This research revealed that the pigeon’s intestine was infected with cestode parasites and had notable histological alterations as compared to non-infected pigeons. It is concluded that this study will help out in the documentation of specific parasite species and also provide a valuable understanding of the pathogenesis of infections in birds.
College Students Lived Experiences on Separation from Parents: A Phenomenological Study
Authors: Gaspan Ginalyn , Sasot Dr. Christoper F
Published: July 2024

In the current world, an overseas Filipino worker has taken on heroic qualities. In order to earn a big salary and support their families, OFW parents risk their lives by working abroad. The study aimed to determine whether the perspective, emotions, and relationships of college students with their OFW parents affected their academic achievement. Nine (9) college students who had spent at least ten years apart from their OFW parents were interviewed using a qualitative thematic analysis. Facebook was used in the study’s snowball sampling procedure to find volunteers. Focus group discussions (FGD) and interviews with structured research interview questions were both employed by the researcher to collect data.
Perspektif Kitab Pengkhotbah terhadap Etos Kerja dan Implikasinya pada Mahasiswa Sekolah Teologi
Authors: Natalia Cristine , Wibowo Gandi
Published: July 2024

Artikel ini mengeksplorasi perspektif mahasiswa sekolah teologi terhadap Kitab Pengkhotbah (Qoheleth) yang mempengaruhi pembentukan etos kerja mereka. Penelitian mengungkap bagaimana pemahaman terhadap Kitab Pengkhotbah mempengaruhi sikap dan pandangan mereka terhadap pekerjaan, panggilan, dan pelayanan rohani. Kitab Pengkhotbah terkadang disalahpahami sebagai kitab yang menekankan pesimisme, tetapi analisis menunjukkan bahwa pesan yang disampaikan justru realistis. Kitab Pengkhotbah sejatinya mengajarkan pentingnya tanggung jawab, disiplin, dan integritas dalam bekerja. Penelitian ini menggunakan metode kualitatif dengan pendekatan studi literatur tetapi disertai wawancara terhadap 30 mahasiswa seminari untuk memberikan keragaman perspektif yang kaya dari mahasiswa terhadap Kitab Pengkhotbah dalam konteks etos kerja mahasiswa. Hasilnya menunjukkan bahwa banyak mahasiswa menghadapi tantangan dalam mengembangkan etos kerja yang baik karena sikap malas, menunda-nunda pekerjaan, dan tindakan tidak etis lainnya. Diskusi dalam artikel ini menggambarkan bagaimana pengertian yang benar tentang kitab ini dapat membentuk etos kerja yang kuat dan bertanggung jawab bagi mahasiswa teologi. Langkah-langkah konkret seperti pembinaan, pembentukan budaya belajar yang kondusif, peninjauan kurikulum, dan edukasi tentang pentingnya pendidikan teologi diusulkan untuk meningkatkan etos kerja mahasiswa. Diharapkan bahwa pemahaman yang benar tentang pesan Kitab Pengkhotbah akan membantu mahasiswa sekolah teologi untuk mengembangkan etos kerja yang kuat, integritas, dan bertanggung jawab dalam menjalani tugas mereka.
PHƯƠNG PHÁP XỬ LÝ XỈ ĐÁY LÒ (CBA) VÀ KINH TẾ TUẦN HOÀN TRONG QUẢN LÝ CHẤT THẢI DÙNG TRONG BÊ TÔNG BỀN VỮNG
Authors: Đỗ Đại Thắng , Phan Duc-Hung , Lê Anh Tuấn
Published: July 2024

Nghiên cứu trình bày sự ảnh hưởng đến một số tính chất cơ học của bê tông khi sử dụng xỉ đáy lò (CBA) từ các nhà máy nhiệt điện để thay thế cốt liệu nhỏ sau khi được xử lý. Xỉ đáy lò được xử lý bề mặt bằng các phương pháp vật lý và hóa học nhằm tăng cường khả năng bám dính bề mặt. Phương pháp vật lý được thực hiện bằng cách sử dụng cát khô làm sạch bề mặt xỉ trong thùng quay Los Angeles. Phương pháp hóa học được tiến hành bằng cách ngâm xỉ trong dung dịch vôi bão hòa trong các khoảng thời gian khác nhau hoặc trong dung dịch axit sunphuric với nồng độ khác nhau. Kết quả thực nghiệm cho thấy các phương pháp xử lý bề mặt CBA giúp cải thiện độ độ sụt của hỗn hợp cũng như cường độ chịu nén, chịu kéo (ép chẻ) và độ đặc chắc của bê tông.
Koncepcia „nekonečného“ ako možného východiska z krízy identity „ľudského“ u Emmanuela Lévinasa
Authors: Mičko Ján ,   Trnavská univerzita v Trnave, Filozofická fakulta, Katedra filozofie
Published: July 2024

This study focuses on Emanuel Lévinas, a representative of the 20th century dialogical philosophy and Jewish theology, who, in breaking down previously familiar philosophical and anthropological constructs, offers in his ethics the possibility of both accepting and understanding the other (of reaching the Other). Although Lévinas drew directly on Martin Buber‘s ideas for his dialogical principle, there are moments in which their conceptions differ significantly from each other (the Other, the Face). The aim of the study is not only to acquaint the reader with Lévinas‘s conception of philosophy and theology, but also with his life and the religious, philosophical, and literary influences that contributed greatly to the development of Lévinas‘s personality and can offer the reflective subject of today a way out of the identity crisis of values and culture caused by the instability of the present.
Use of the dual stator induction machine in a hybrid renewable energy pumping system
Authors: Adjati Arezki , Rekioua Toufik , Rekioua Djamila
Published: July 2024

In this article, we propose a hybrid power supply of a water pumping station. The combination of photovoltaic, wind turbine, and fuel cell powers the dual stator inductor motor that drives the centrifugal pump. The novelty of this contribution is to replace the usual actuators used for pumping by a dual stator inductor motor that offers power segmentation and the possibility to operate in degraded mode. The adoption of Fuel Cells helps get rid of carbon dioxide to migrate to hydrogen.
Performance, combustion, and emission features of a diesel engine powered by biodiesel mixture and butanol blends
Authors: Ramuhaheli Shumani , Enweremadu Christopher
Published: July 2024

The search for permanent fossil fuel substitutes has become critical due to the declining supply of fossil fuels and the toxic pollution emitted by diesel engines. In this study, diesel engine characteristics have been investigated numerically and experimentally using diesel, biodiesel mixture from waste vegetable oil and soybean oil (BM100) and butanol blends (5%, 10%, and 15%). The experimental work was conducted on the single-cylinder diesel engine generator at different speeds (1000, 1500, 2000, and 2500 rpm) and full load conditions. A commercial Diesel-RK software was used to perform the numerical aspects of the diesel engine. The different percentages of butanol blends were added to biodiesel mixture to form biodiesel mixture-butanol blends. It was discovered that there was good agreement between the experimental and numerical results. The cylinder pressure, heat release rate, brake power, brake-specific fuel consumption, brake thermal efficiency, nitrogen oxide, carbon dioxide, and particulate matter (PM) emissions were all predicted using the numerical technique. Results showed a decrease in carbon dioxide, particulate matter, and brake power. When compared to regular diesel fuel, at maximum speed, there was a decrease in brake-specific fuel consumption and an increase in nitrogen oxide emissions.
Hydrogen fuel cell electric vehicles controlled by direct torque control (DTC) during low-speed operation
Authors: Tazerart Farid , Azib Ahmed , Kerrouche Farid , Rekioua Toufik
Published: July 2024

Controlling the speed and torque of electric vehicles (EVs) under various road conditions poses a significant challenge with conventional control methods. This paper introduces a novel approach to direct torque control (DTC) by incorporating a self-tuning fuzzy speed controller specifically designed for EV applications. The self-tuning fuzzy proportional-integral-derivative (PID) controller is devised to continually update its output scaling factor. DTC, which directly links torque and speed control to the electromagnetic state of the motor, eliminates the need for a modulator. It performs effectively at high speeds and operates without a speed sensor. However, DTC is typically employed in the medium and low-speed range of electric vehicle propulsion. This paper aims to develop a DTC structure utilizing a self-tuning fuzzy speed controller for driving a fuel cell electric vehicle in low-speed urban scenarios. Simulation results demonstrate that the adaptive fuzzy PI control ensures better efficiency compared to the conventional PI controller, affirming its superior control performance.
GÊNERO, SEXUALIDADES E CONCEITOS QUEER NA GEOGRAFIA
Authors: Pequeno Victor Dantas Siqueira
Published: July 2024

O presente texto insere-se no debate de gênero e sexualidades na Geografia e é fundamentado teórico-metodologicamente pelas teorias queer. Desta feita, a pergunta que incitou a escrita foi: Quais os conceitos/princípios queer têm sido mobilizados na Geografia? Na tentativa de uma possível resposta, amparo-me na leitura e discussão das teses de doutorado arquivadas no sítio eletrônico da Biblioteca Digital Brasileira de Teses e Dissertações (BDTD) no período 2019-2022 nestas quais os/as autores/as referenciam chaves conceituais queer. Me atenho àquelas elaboradas por Judith Butler. Defendo, por fim, a atitude de um saber/fazer geográfico corporificado, politizado e desvirtuoso.
PALAVRAS-CHAVE: Palavras-chave: Geografias Feministas; Teorias Queer; Posicionalidade; Pesquisa Geográfica.
EFFECTIVENESS OF FUNCTIONING OF DOMESTIC SMALL AGRICULTURAL MANAGEMENT AT THE REGIONAL LEVEL: ANALYSIS OF ACTIVITIES AND DEVELOPMENT PROSPECTS
Authors: Bunchikov Oleg , Mihnenko Tat'yana , Sedyh Yuliya
Published: July 2024

The article evaluates the activities of one of the most dynamically developing categories of small agricultural businesses, K(F)H, operating in the territory of one of the eight federal districts of the Russian Federation, the Southern Federal District (SFD). The activities of farms and farms in the production of both crop and livestock products are analyzed both in the district as a whole and at the level of its constituent entities, including one city - Sevastopol. Appropriate conclusions were drawn and further development paths were determined.
THE IMPACT OF PRACTICAL TRAINING OF VETERINARIANS ON THE ECONOMIC EFFICIENCY OF THE VETERINARY CLINIC
Authors: Stepanov Gennadiy
Published: July 2024

The article substantiates the dependence of the economic efficiency of a veterinary clinic on the qualifications and experience of doctors working in them, describes the impact of practical training of veterinarians on the economic efficiency of a veterinary clinic. The main problems of training veterinarians at universities for practical work in veterinary clinics dealing with the treatment of small domestic animals are identified and disclosed, which lead to the formation of training programs for specialists directly in the veterinary clinic. These programs, due to the shortage of personnel and the need for education, have a high profitability coefficient, while allowing clinics to increase their work efficiency, take a more competitive position in the market, and improve the quality of veterinary services.