bluuebunny/crossref_metadata_2025 huggingface dataset:
The Nature of Environmental Violence in Climate Change: Considering the Perspective of Muslim Civil Society in Banyumas
Authors: Luqman Luqman Rico Khashogi
Published: December 2024

The multi-impact environmental damage that has an impact on climate change is the result of the lack of equitable distribution of utilization and control of resources due to the hegemony of power and authority forcing people to exploit nature. Poor environmental governance, which later became a source of crime and suffering for the community, was dominantly the result of the behavior (violence) of the authorities rather than the community’s low awareness and literacy. In Banyumas, climate balance is also an essential issue. This study aimed to find answers to whether the Young Muslim Civil Society in Banyumas has concerns about climate change and its governance. The UNICEF survey in 2021 stated that the younger generation in Indonesia has empathy for environmental governance. This study was field research with a sociological approach through the paradigm developed by Jamil Salmi about violence maps; direct violence, indirect violence (violence by omission), repressive violence, and alienation violence. To map their views, I collected 304 randomly selected samples for filling out a questionnaire based on direct validity and test-retest reliability indicators. According to the discourse of young Muslim Civil Society in Banyumas, this study indicated that repressive violence was an essential part of the nature of environmental violence in climate change. The Young Muslim Civil Society in Banyumas was overwhelmed with worries, which should encourage them not to let state administrators put forward desertion in responding to the global challenge; climate change.
The Fallacy of Synthesis and Diairesis: Towards Logic and Logos in Aristotle’s Rhetoric and Sophistical Refutations
Authors: Petrinski Gerasim
Published: December 2024

The present study focuses on the so-called ‘fallacy of combination
and division’ or ‘synthetic-dieretic fallacy,’ as discussed by Aristotle in his treatises
‘Rhetoric’ and ‘On Sophistical Refutations.’ Despite significant scholarly interest
in these manipulative maneuvers over the last two decades, there is no agreement
regarding the notable discrepancies observed in the two works regarding defini-
tions and the examples the philosopher employs to illustrate them. The thesis to be
defended is that these are not two entirely different phenomena but rather two dis-
tinct approaches applied by Aristotle to refute the paradoxes used in the Megarian
school of philosophy to seemingly disprove the concept of the static (εἶναι) nature
of being and ‘prove’ their idea of an eternally changing dynamic world (γίγνεσθαι).
A new approach will be proposed towards the specific argumentative fallacies and
linguistic means underlying the logic-linguistic phenomena described by Aristotle.
Forming Character Through Moral Education In Early Children At Al-Hasan Village Kindergarten Kedungpanji
Authors: Setyowati Sulis
Published: December 2024

Children are the next generation of families and nations, need to get a good education so that their potentials can develop rapidly, so that they will grow into human beings who have strong personalities and have various kinds of abilities and skills that are useful. Therefore it is important for families, educational institutions play a role and are responsible for providing various kinds of stimulation and proper guidance so that a formidable next generation will be created. who hit his friend. The purpose of this study was to provide an understanding of character, moral education and the implementation of character building with moral education in early childhood at al-Hasan Kindergarten, Kedungpanji Village, Adapum. This research uses a type of qualitative research, data obtained by using interviews, observation , and documentation. The analysis used is to use the concepts provided by Miles & Huberman including: data reduction, data display and conclusion/verification. Character education is a process of planting and directing so that students are able to become fully human and have character in various dimensions. character education should also be given when children enter the school environment, especially since play groups and kindergartens. Development in early childhood is influenced by two factors, namely internal factors or internal factors and external or external factors. The formation of character with moral education carried out in Al Hasan Kindergarten includes the habituation of praying behavior in children in AL-Hasan Pulorejo Kindergarten. The strategy carried out by the teacher has been carried out well, while the strategies carried out include the teacher always reminding and explaining children about the etiquette of praying, being a figure for children in praying and applying rewards and applying punishments. if a child commits an act of saying dirty words, hitting a friend or doing other disgraceful actions, the teacher will definitely reprimand him and if during the lesson there is a student who does not pay attention to the teacher's instructions and when he is reprimanded the student does not comply, the student will come home later than his friends .
Penerapan Literasi Finansial untuk Anak Usia Dini Di RA Al Hikmah Nguri Magetan
Authors: Setianingrum Indah , Anggraeni Pipit
Published: December 2024

Literasi finansial adalah kemampuan untuk mengelola dana yang dimiliki, agar berkembang dan hidup lebih sejahtera dimasa yang akan datang (Otoritas Jasa Keuangan, 2017). Penelitian ini bertujuan untuk mengetahui penerapan literasi finansial untuk anak usia dini di RA Al Hikmah Nguri Magetan. Penelitian ini menggunakan pendekatan kualitatif deskriptif. Penelitian ini menggunakan tiga indikator, yaitu pengenalan bertransaksi, pengenalan konsep menabung, dan pengenalan konsep berbagi. Kegiatannya agar anak anak bisa mengetahui cara bertransaksi, cara menabung, dan bagaimana cara berbagi untuk orang yang membutuhkan.
Meningkatkan Kemampuan Motorik Kasar Dan Keseimbangan Melalui Permainan Lompat Tali
Authors: Afifah Yofia Nur , Purnamasari Isti Armilia
Published: December 2024

Pada masa ini anak harus distimulasi sebaik mungkin agar kemampuan yang dimiliki anak dapat berkembang secara maksimal. Salah satu penyebab perkembangan motorik kasar tidak berkembang secara optimal adalah kegiatan pengembangan kemampuan motorik kasar tubuh anak yang masih jarang dilaksanakan, sehingga anak kurang terstimulasi dalam mengembangkan kemampuan motorik kasarnya. Penelitian ini bertujuan untuk Meningkatkan kemampuan motorik kasar dan keseimbangan melalui permainan lompat tali di Kelompok KB Darul Hikam Desa Blaran Kecamatan Barat Kabupaten Magetan
PENANAMAN LITERASI BACA TULIS PADA ANAK USIA DINI DI RA AL AMANAH KENONGOMULYO MAGETAN
Authors: Setianingrum Indah , Salima Hayyi’
Published: December 2024

Penanaman literasi baca tulis pada anak usia dini dapat memberikan hal positif untuk anak terutama pada aspek perkembangan bahasanya. Literasi baca tulis merupakan kemampuan dan pengetahuan membaca serta menulis, kemampuan menganalisis , mengolah serta memahami informasi untuk dianalisis, menanggapi serta menggunakan bahasa (Wardhani et al., 2021). Penelitian ini bertujuan untuk mengetahui penanaman literasi baca tulis untuk anak usia dini di RA Al Amanah Kenongomulyo Magetan. Penelitian ini menggunakan pendekatan kualitatif deskriftif. Indikator yang digunanakan yaitu membaca, menulis, menggambar, dan mendengarkan. Kegiatan yang diberikan bertujuan membekali anak untuk pendidikan selanjutnya atau sekolah dasar.
Kata Kunci: Literasi Baca Tulis, Anak Usia Dini
INTEGRASI PENDIDIKAN KARAKTER DALAM PEMBELAJARAN BAHASA ARAB PADA ANAK USIA DINI DI KABUPATEN NGAWI
Authors: Ulfa Maria
Published: December 2024

Pendidikan karakter sangatlah diperlukan untuk mengimbangi pendidikan yang berorientasi pada kecerdasan kognitif. Dengan adanya pendidikan karakter sejak usia dini, diharapkan persoalan mendasar dalam dunia pendidikan dapat diatasi bersama. Upaya pengembangan pendidikan karakter dalam lingkungan pendidikan adalah dengan mengintegrasikan nilai-nilai karakter dalam semua mata pelajaran. Pengintegrasian nilai-nilai karakter ini bukan hanya menjadi tanggung jawab guru pendidikan agama saja, melainkan semua guru. Tak terkecuali guru pendidikan bahasa Arab. semua guru harus dapat mengintegrasikan pendidikan karakter dalam setiap kegiatan pembelajaran yang dilaksanakan. Tujuan dari penelitian ini adalah untuk mengetahui integrasi pendidikan karakter dalam pembelajaran bahasa Arab pada anak usia dini di TPA Al-Idris desa Keraskulon kecamatan Gerih kabupaten Ngawi. Adapun hasil penelitian menunjukkan bahwa pendidikan karakter yang diterapkan di TPA Al-Idris sesuai dengan tujuan dan capaian pembelajaran yang ada.Pembelajaran bahasa Arab di TPA Al-Idris dilaksanakan dengan memperhatikan strategi pembelajaran yangsesuai untuk anak usia dini dan sudah memenuhi empat kemahiran berbahasa. Integrasi pendidikan karakterdalam pembelajaran bahasa Arab pada anak usia dini dilakukan dengan menanamkan nilai-nilai karakter melalui materi ajar dan strategi pembelajaran.
ESTUDO DA ACESSIBILIDADE DE PARQUES PÚBLICOS PARA CRIANÇAS COM DEFICIÊNCIA
Authors: Silva Thiego Ribamar Costa , Truccolo Adriana Barni
Published: December 2024

Este trabalho teve como objetivo geral investigar a acessibilidade de parques e praças públicos para o brincar de crianças com mobilidade reduzida, no município de Alegrete, RS. Para tanto, foi realizada uma pesquisa quantitativa com recorte transversal. Quanto ao objetivo a pesquisa foi descritiva, quanto ao local de coleta de dados a pesquisa foi de campo e foi utilizado como instrumento de coleta de dados a versão traduzida e adaptada do instrumento BRAT-DO Formulário de observação direta de parques. Foram visitados dois parques e 13 praças localizados em diferentes regiões geográficas do município. A partir disso, constatou-se que existe a necessidade de uma maior atenção aos brinquedos instalados nos parques e nas praças, a fim de que todas as crianças sejam contempladas, possam brincar, interagir e socializar, desenvolver.
TINGKAT PENGETAHUAN KADER KESEHATAN DESA GISIKCEMANDI SEDATI SIDOARJO TENTANG LOW BACK PAIN (NYERI PUNGGUNG BAWAH)
Authors: Dwianto Ignatius Heri , Yuni Kurniawaty  , Sri Winarni
Published: December 2024

Abstrak: Pengetahuan merupakan hasil dari tahu, dan ini terjadi setelah orang merasakan suatu objek tertentu. Pengetahuan manusia sebagian besar diperoleh melalui mata dan telinga. Fenomena di Desa Gisikcemandi Kecamatan Sedati Kabupaten Sidoarjo hasil wawancara dengan kader kesehatan desa masih banyak yang belum mengetahui tentang nyeri punggung bawah. Minimnya pengetahuan yang dimiliki oleh kader kesehatan desa sehingga pengetahuan tentang nyeri punggung bawah perlu ditingkatkan. Desain penelitian yang digunakan adalah penelitian deskriptif. Jumlah sampel sebanyak 30 responden. Setelah data terkumpul dilakukan analisis dengan menggunakan statistik deskriptif proporsi presentase dan diperoleh hasil Karakteristik dari 30 responden sebanyak 1 responden berusia antara 19-30 tahun, 10 responden berusia 31-40 tahun dan 19 responden berusia 41-55 tahun, sebanyak 5 responden yang berpendidikan SD , sebanyak 10 responden yang berpendidikan SMP, sebanyak 9 responden yang berpendidikan SMA dan sebanyak 6 responden yang berpendidikan Perguruan Tinggi. dan responden yang berprofesi sebagai ibu rumah tangga sebanyak 23 orang, karyawan sebanyak 6 orang, dan perawat sebanyak 1 orang, responden yang sudah mendapatkan informasi tentang Low Back Pain sebanyak 15 orang dan yang belum mendapatkan informasi tentang Low Back Pain sebanyak 15 orang. Kesimpulan dari 30 responden tersebut 0 orang responden dengan tingkat pengetahuan baik, 14 orang responden dengan tingkat pengetahuan cukup dan 16 orang responden dengan tingkat pengetahuan kurang. Sebagian besar responden yaitu 53% memiliki pengetahuan kurang dan 47% memiliki pengetahuan cukup.
Pengaruh Pertumbuhan Penduduk, Kesempatan Kerja Terhadap Pengangguran dan Kemiskinan di Kabupaten Aceh Utara
Authors: Chairunnisa Chairunnisa  , Muliana Padang  , Mahdiyyah Azra  , M Azrul Azwar  , Asnidar Asnidar  , Ahmad Ridha
Published: December 2024

This study aims to analyze the effect of population growth, employment opportunities on unemployment and poverty in North Aceh district. this study uses secondary data obtained from the Central Statistics Agency (BPS). with the period 2013-2022 in North Aceh District. This research model is path analysis using the eviews application. Based on the results of research that has been conducted on the Effect of Population Growth and Employment Opportunities on Unemployment and Poverty in North Aceh Regency, it shows that population growth has a negative and significant effect on unemployment, employment opportunities have a positive and insignificant effect on unemployment, population growth has a positive and insignificant effect on poverty, employment opportunities have a negative and significant effect on poverty and indirectly population growth has a significant effect on poverty through unemployment and also indirectly population growth has an insignificant effect on poverty through unemployment.
Analisis Pengaruh Strategi Manajemen Operasional terhadap Perawatan Warehouse
Authors: Daniel David Camberra Simanungkalit
Published: December 2024

Warehouse management and internal logistics planning and control are increasingly important. Nowadays, many Warehouse management methods as well as internal logistics planning and control are increasingly important. Warehouses play a critical role in matching product demand with supply at various echelons in the supply chain. The warehouse decision model is very important for the profitability of an organization. The method used in this research activity uses a qualitative approach where this approach explores and understands the meaning of some individuals or groups of people who originate from social problems. warehouse layout arrangements, inventory arrangements, maintenance of warehousing equipment, storage of goods, stock lists, entry of goods, expenditure of goods, picking of goods, packaging of goods, delivery of goods, and so on. Benefits of implementing good warehouse management, such as: 1. Serving customers better 2. Obtaining data in real time 3. Preventing the risk of loss 4. Avoiding fraud 5. More accurate reordering of goods. Suggestions for further research, adding another subject to understand warehouse design what it is like and how to manage it.
Pengaruh Upah Minimum dan Tingkat Inflasi terhadap Pertumbuhan Ekonomi dan Tingkat Pengangguran Terbuka di Provinsi Banten
Authors: Yessi Tamba  , Dian Novita Sari  , Rizki Imam Maulana  , Asnidar Asnidar  , Ahmad Ridha
Published: December 2024

This study aims to determine the effect of wages and inflation on economic growth and the open unemployment rate in Banten. This quantitative research uses secondary data sourced from the Central Statistics Agency (BPS) from 2011 - 2023. The data analysis used used the path analysis method. The results of this study indicate that the minimum wage directly has a negative and significant effect on economic growth in Banten Province. Inflation has a positive but insignificant effect on economic growth in Banten Province. Minimum wage has a negative and significant effect on the Open Unemployment Rate in Banten Province. Inflation has a negative and insignificant effect on the Open Unemployment Rate in Banten Province. Economic Growth has a positive but insignificant effect on the Open Unemployment Rate in Banten Province. Meanwhile, indirectly, Minimum Wage has a negative and significant effect on Open Unemployment Rate through Economic Growth in Banten Province. Inflation has a positive and insignificant effect on the Open Unemployment Rate through Economic Growth in Banten Province.
Pengaruh Efikasi Diri Terhadap Kesiapan Kerja pada Mahasiswa Tingkat Akhir Program Studi Manajemen Fakultas Ekonomi dan Bisnis Universitas Negeri Makassar
Authors: Ayu Liyan Pratiwi  , Andi Mustika Amin  , Uhud Darmawan Natsir  , Romansyah Sahabuddin  , Tenri Sayu Puspitaningsih Dipoatmodjo
Published: December 2024

This research aims to determine the influence of self-efficacy on work readiness in final year students of the Management Study Program at the Faculty of Economics and Business, Makassar State University. This research used quantitative methods involving 65 female students who were actively studying at the Management Study Program, Faculty of Economics and Business, Makassar State University class of 2020. Data was collected using a questionnaire in the form of a Likert scale. Data analysis in this research uses simple linear regression with the help of a program microsoft excel 2007 and program software SPSS statistics 20. The results of this study show that self-efficacy positively and significantly influences work readiness in final year students of the Management Study Program at Makassar State University.
Pengaruh Pendapatan Asli Daerah dan Pajak Daerah dan Kemiskinan pada Pertumbuhan Ekonomi di Gorontalo
Authors: Wahyuni Siregar  , Fani Inka Prilia  , Fatimah Fatimah  , Asnidar Asnidar
Published: December 2024

This study aims to analyze the influence of Local Own-Source Revenue (Pendapatan Asli Daerah, PAD), regional taxes, and poverty levels on economic growth in Gorontalo Province during the 2013– 2024 period. PAD and regional taxes are essential indicators of a region's fiscal independence in funding development, while poverty acts as an impediment that can reduce productivity and consumer purchasing power. The research employs quantitative analysis using secondary data obtained from the Central Bureau of Statistics (BPS) and regional financial reports. The results indicate that PAD and regional taxes have a significant positive impact on economic growth, while poverty levels have a significant negative effect. Increased PAD and regional tax revenues contribute to public investment, infrastructure development, and social services, supporting economic activities. On the other hand, high poverty levels slow down economic growth due to limited purchasing power and reduced participation in productive activities. In conclusion, optimizing PAD and regional tax management, along with effective poverty alleviation policies, is crucial to fostering inclusive and sustainable economic growth in Gorontalo. This study is expected to serve as a reference for local governments in formulating more targeted economic development strategies.
The Impact of Loads of College Basketball Players on Their Competitive Performance
Authors: Jia Jian , DR. MARIA LIRIA D. DACANAY
Published: December 2024

This study meticulously examines the influence of training loads on the competitive performance of college basketball players. It endeavors to gauge the technical and psychological preparedness of players before games, shedding light on the efficacy of their training regimens. Focused solely on college basketball players and their training routines, this study does not delve into extraneous factors such as diet or psychological variables that may impact performance. The insights gleaned from this study are poised to offer invaluable guidance to coaches and trainers in crafting tailored training programs tailored to optimize the performance of college basketball players.
Overseas Dissemination of Confucianism in the Documentary Hello, China
Authors: Li Jing
Published: December 2024

The introduction of Confucius and Confucianism in the French version of the documentary Hello, China plays a crucial role in promoting traditional Chinese Confucian culture to French-speaking countries. By using French as the narration language for the documentary, it facilitates the dissemination of Confucianism to French-speaking nations, particularly in Francophone Africa. This paper adopts a multimodal text analysis approach to explore how the documentary Hello, China constructs Confucius personal image and his Confucian identity, as well as how it spreads Confucian culture overseas. Through analysis, the study aims to identify the strengths and weaknesses of the documentary, thereby suggesting ways to improve the global dissemination of Confucianism and promoting its broader and deeper outreach.
From Virality to Engagement: Examining the Transformative Impact of Social Media, Short Video Platforms, and Live Streaming on Information Dissemination and Audience Behavior in the Digital Age
Authors: Yin Huaijin
Published: December 2024

The digital world has changed the way we share and consume information through the adoption of social media, short-form video and live streaming. These tools changed how virality works, how audiences act and how content gets created. This article takes a closer look at the dynamics of virality, and how algorithms and crowdsourcing facilitate quick sharing of information while driving the development of misinformation and echo chambers. Likewise, it explores how users interact with content rather than consume it, and explores engagement metrics, gamification and interactivity. The paper also explores how content is personalized, storyboarded, and made in the creator economy, and how creators must strike a fine line between authenticity and algorithmic needs. In looking at them, this paper gives a general outline of the dramatic changes digital technologies will bring to communication and culture, and what ethical questions they raise. Future research should explore trends such as decentralized platforms and AI in content strategies.
A Comparison of Machine Learning Algorithms for Predicting Alzheimer’s Disease Using Neuropsychological Data
Authors: Mokadem Zakaria , Djerioui Mohamed , Attallah Bilal , Brik Youcef
Published: December 2024

Alzheimer’s disease (AD) is a gradient degeneration of essential cognitive activities such as memory, thinking, and cognition. AD mainly affects elderly individuals and is recognized as the most common cause of dementia. This study investigates the predictive performance of nine supervised machine learning algorithms—Logistic Regression, Decision Tree, Random Forest, K-Nearest Neighbors, Support Vector Machine, Gaussian Naïve Bayes, Multi-Layer Perceptron, eXtreme Gradient Boost, and Gradient Boosting—using neuropsychological assessment data. We applied two classification techniques—binary and multiclass—to classify 1761 subjects into three categories: cognitively normal (CN), mild cognitive impairment (MCI), and Alzheimer's disease (AD). Binary classification tasks focused on CNvsAD and CNvsMCI subsets, while multiclass classification used the full dataset (TriClass). Hyperparameter tuning was performed to optimize model performance. The results indicate that ensemble learning models, particularly Gradient Boosting (GB) and Random Forest (RF), exhibited superior accuracy compared to other algorithms. Most models for the CNvsAD subset achieved the highest accuracy (97.74%), while GB achieved the best performance (94.98%) for the CNvsMCI subset. For multiclass classification, RF achieved the highest accuracy at 84.70%. These findings highlight the robustness and efficiency of ensemble learning algorithms, especially in handling complex, non-linear data structures. This study underscores the potential of RF and GB as reliable tools for early detection and classification of Alzheimer’s disease using neuropsychological data.
Hajutunnistuskoirien käyttö kirjanpainajan (Ips typographus) tunnistamisessa ja torjunnassa
Authors: Kangaslampi Reetta
Published: December 2024

Pro Gradu –tutkielmassa tutkittiin hajutunnistuskoirien käyttöä kirjanpainajan Ips typographus tunnistamisessa ja torjunnassa. Tavoitteena oli selvittää, voidaanko koulutettua hajutunnistuskoiraa käyttää tunnistamaan pieni kirjanpainajaryhmä laboratorio-olosuhteissa luotettavasti.
Kasviantuhoojat peltokasveilla 2024 – Lämmin kesä suosi varsikirppoja, ruosteita ja rikkakananhirssiä
Authors: Huusela Erja , Jalli Marja , Ruuttunen Pentti
Published: December 2024

Kasvukausi 2024 muistetaan erityisesti alkukesän kuivuudesta. Loppukesää värittivät runsaat sateet suurimmassa osassa maatamme. Kun kosteusolosuhteet kohtasivat keskimääräistä suuremmat lämpötilat, olivat olosuhteet suosiolliset usealle kasvintuhoojalle.
Tysk som tillægskompetence – lærendes motivation, behov og erfaringer
Authors: Gebauer Mirjam , Larsen Aase Voldgaard , Pedersen Anne Grethe Julius , Holleufer Simon , Vejnø Ida
Published: December 2024

This study explores how L2 learners of German as an Additional Competence (GAC) reflect on motivation, needs, expectations, experiences, and persistence. GAC is a new initiative that was launched in 2022 at Aalborg University, supported by a special budget from the Danish Ministry of Education and Research for boosting German and French language skills in higher education in Denmark. At Aalborg University, GAC is offered as courses outside of the academic curricula and ECTS system. To evaluate and further develop this new initiative, we have conducted 14 semi-structured interviews with course participants to inquire about their motivation, needs, expectations, and experiences. Theoretically and methodologically, the study is based on Dörnyei’s (2005) model of Motivational Self System in second language (L2) acquisition, the concept of target needs by Hutchinson and Waters (1987), Unger’s (2022) study of narrative constructions of needs in foreign language teaching, and Tinto’s (2020) concept of persistence, involving self-efficacy, sense of belonging, and perception of curriculum. The study provides insights into a broad variety of motivational factors, needs, persistence, and experiences from both previous German language learning and the GAC-courses. The findings of the study point towards both career-strategic and personal goals as key factors for the motivation of the participants. Moreover, their perceived needs focus on the enhancement of practical language skills. Accordingly, most participants expect the courses to allow for extensive training and practical exercises. Also, an informal and safe atmosphere to overcome a fear of speaking and making mistakes are desirable and form a contrast to the participants’ prior learning experiences, and it seems that participants need both academical and social support in their learning.
Кинематические расстояния галактик в местном объеме
Authors: Karachentsev I. D. , Popova A. A.
Published: December 2024

We consider the kinematic distances to nearby galaxies obtained by the Numerical Action Method (NAM) based on the Cosmic-flow-3 survey data. NAM-distances are compared with 418 high-precision distances measured by the Tip of the Red Giant Branch (TRGB) method using the Hubble Space Telescope. We estimated the average difference  = -0.30 ± 0.08 Mpc and the standard deviation of 1.57 Mpc. Approximately the same difference in the distance scale is obtained in comparison with less accurate distance estimates through the membership of galaxies in known groups or from the Tully-Fisher relation. We conclude that the NAM method provides distance estimates with an accuracy of 20% within the Local Volume, which is valid for ~90% of the sky, except for the regions of the Virgo cluster and the Coma-I group.
Рассмотрены кинематические расстояния до близких галактик, полученные методом численного действия (NAM), основанным на данных обзора Cosmic-flow- 3. Расстояния NAM сравниваются с 418 высокоточными расстояниями, измеренными методом вершины ветви красных гигантов (TRGB) с помощью космического телескопа Хаббла. Мы оценили среднюю разницу <DNAM - DTRGB
> = -0.30 ± 0.08 Мпк и стандартный разброс в 1.57 Мпк. Примерно такая же разница в масштабе расстояний получается по сравнению с менее точными оценками расстояний через принадлежность галактик к известным группам или из соотношения Талли-Фишера. Мы пришли к выводу, что NAM-метод дает оценки расстояний с погрешностью 20% в пределах Местного объема, что справедливо для ~90% неба, за исключением областей скопления Virgo и группы Coma-I.
Relevant Anatomy of Facial Region and Clinical Analysis of Common Complications in Botulinum Toxin and Filler Injections
Running Title: Common Complications of Botox and Fillers
Authors: CETINOK Hurriyet , Mortazavi Ali , Alavimatin Negin
Published: December 2024

Objective: This study analyzes the prevalent problems associated with Botulinum toxin and filler injections. By concentrating on the Iranian populace, we seek to elucidate the particular obstacles and adverse effects associated with these prevalent cosmetic operations. Healthcare professionals must implement preventive efforts and be equipped to address any consequences. A comprehensive understanding of anatomy is essential for achieving optimal outcomes.
Materials and Methods:This retrospective-descriptive study analyzed the medical records of female patients treated with Botox and dermal fillers at the private dental clinic between 2019 and 2024. The study focused on comparing the most common complications associated with each treatment for botulinum toxin and filler injections. Exclusion criteria included patients with pre-existing skin conditions, chronic diseases, or other significant health concerns. This study aimed to analyze the frequency and severity of problems, contextualizing data with current literature to evaluate the relative safety and efficacy of different cosmetic operations.
Results: In our study, we identified the most common complications associated with botox and filler injections. For botox, the top three issues were no correction (20.22%), redness (15.1%), over and under correction (9.5%). As for fillers, the most frequent complications include inflammation (25.9%), pain (25.9%) and erythema (22.2%).
Conclusion: This study highlights the importance of understanding facial anatomy, specifically complications in the context of botox and filler injections, emphasizing the importance of meticulous technique and a strong understanding of anatomy to minimize risks. The insights provided will assist practitioners in better complications, ultimately enhancing the safety and outcomes of cosmetic procedures.
Seroprevalence of SARS-COV-2 Antibodies Associated with the Use of Personal Protective Equipment in Healthcare Workers
Authors: Rekic Amela , Pranjic Nurka
Published: December 2024

Background: Hypothetically, PPE played an estimated influential role in preventing SARS-CoV-2 transmission among HCWs before immune-prophylaxis by vaccination in BH. Objective: This research aims to determine the relationship between PPE use and the serological response to SARS-COV-2 among HCWs. Methods: The sample contained 127 COVID-19 outpatients with an average age of 43.5 ± 10.8, 66% women, and 80 (63%) health workers as the study group (37% non-medical workers as a control subjects). The created questionnaire collected sociodemographic data on comorbidity or not, application of PPE, and severity of the clinical picture of COVID-19 infection. Results: All subjects were monitored for the dynamics of antibodies, separately for IgM- and Ig-G three times, repeated every 3 months (only three before immuno-prophylaxis by vaccinations). A serological investigation of subjects' blood was collected by trained medical staff in vacutainers with a clotting activator to obtain the subjects' serum centrifuged, separated, and tested on the AFIAS 6 COVID-19 apparatus. Healthcare workers who did not wear goggles had significantly higher IgM antibody levels than HCWs who use them [F=9.359 (1, 102), p=.003, partial η2=.084]. Also, HCWs who did not use a visor had significantly higher IgM nucleocapsid antibody titer than those who used it daily or occasionally [F=4.790 (1, 102), p=.031, partial η2=.045]. Increase SARAS-COV-2 IgM titer three, six, or nine months after past COVID-19 infection and before vaccination. Conclusion: It presents a new acute or recent asymptomatic infection in our HCWs and unrecognized COVID-19. This implies considerable source and unrecognized risk of transmission of the SARS-COV-2 virus, and among HCWs, COVID-19 is an infectious disease with a high prevalence rate.
HOUSE PRICE PREDICTION USING ML: A Review
Authors: K M Poornima , Hiremath Sharan U , K U Shreya , H Tejaswini , N S Vidya
Published: December 2024

In today's society, everyone wants a home that fits their lifestyle and budget while still providing the
facilities they require. House values fluctuate a great deal, indicating that they are typically overstated. Many
criteria must be considered when projecting house prices, including the location, number of rooms, carpet area,
age of the property, and other fundamental local features. This study seeks to forecast house prices based on all of
the main factors that go into deciding the price.
Keywords: Machine learning, Supervised learning, linear regression, model, Ridge regression
Automatic Target Detection Using Ground Penetrating Radar (GPR) Data Based on A Machine Learning Approach: A Survey
Authors:   Department of Electronics and Telecommunication, Babasaheb Naik College of Engineering Pusad, Karla Road, Pusad,  Maharashtra, 445215, India., Savade Gaurav R.
Published: December 2024

Ground Penetrating Radar (GPR) is a valuable
tool for subsurface exploration across diverse fields such as
archaeology, defence, and civil engineering. Traditionally,
GPR data has been interpreted manually, requiring extensive

expertise and being time-consuming. Recently, machine-
learning approaches have emerged as effective solutions for

automating target detection, significantly reducing time and
human dependency while enhancing accuracy. This review
provides a comprehensive overview of the current
advancements in automatic target detection using GPR data,
focusing on machine learning-based methods. We summarize
feature extraction techniques, popular machine learning
algorithms, and challenges within this domain. This paper also
identifies future directions and potential improvements for
robust, accurate, and efficient GPR-based automatic target
detection systems.
Key Words: Machine Learning, Ground Penetrating Radar,
Object Detection, Signal Processing.
A Comprehensive Review of Research on Disease Prediction in Plant Leaves
Authors: Shrivastava Mrs. Nidhi , Patel Dr. Sachin , Shrivastava Dr. Hemang
Published: December 2024

In agriculture, plant disease
detection at an early stage is significant. Plant
leaves are an important factor in plant disease
detection. Early disease prevention in-line
harvest loss benefit is given to plant growers.
The odd leaves can be visible after getting
infected, and if the software can tell accurately
the disease infestation result. Forecasting plant
leaf disease works better for an early disease
warning. The infected leaf needs to be
permanently removed, or it will affect the
plant. As leaves are a significant part and
produce food from the sun, the infected leaves
show different patterns. Many proposing such
AI and ML models have forecasted the infected
leaves of many plants. This document focuses
on forecasting diseases in plant leaves mainly
for four types of plants: tomato, potato, apple
& grape. Diseases in plant leaves can cause
significant damage to plants and can have a
detrimental effect on both the quantity and
quality of production whether we consider a
lower scale kitchen gardening or a high scale
agriculture farming. The research begins with
an overview of the common plant leaf diseases
found in each of these four plants, along with
their symptoms and causes. It then discusses
the importance of early detection and
management of these diseases to ensure healthy
growth. This helps a naïve gardener as well as
an experienced farmer to prevent a plant or a
whole field from getting infected or diseased.
Plant disease detection approaches are crucial
for prevention and management. Various

techniques in plant disease detection using AI-
based machine learning and deep learning

methods are reviewed comprehensively.

Keywords— Agriculture farming, Kitchen
Garden, Plant leaf diseases, Forecasting
diseases.
HOSPITAL FINDER APPLICATION
Authors: Soumya Ms. , Faizan Mohammed , Rayyan Mohammed , Farhan Mohammed
Published: December 2024

The hospital Finder Application is a user-
friendly mobile solution designed to help people quickly

locate nearby hospitals and also accessing all the other
health care facilities. By utilizing Google Maps API, the
app provides real time location data and direction to the
hospitals. The application is ideal for emergency cases or
health care check-up. A standout feature is the emergency
button specially designed for very seamless cases where
it detects users' location and send an alert to ambulance.
Its intuitive interface ensures seamless navigation,
offering an efficient and stress-free experience. With a
focus on accessibility, the app aims to simplify the
process of finding health care facilities, ensuring users
can make informed decision during critical times.
Key Words: Hospital Finder, Emergency Button, Healthcare
Services, Real-Time Navigation, User-Friendly Interface.
Special Pair of Rectangles and Wagstaff Primes
Authors: Janaki G , Priya S. Shanmuga
Published: December 2024

The objective of this work is to identify the pairs of
rectangles such that a Wagstaff prime number represents the sum of
their areas in each pair. Each Wagstaff prime number is also
accompanied by the number of primitive and non-primitive rectangles.
Key Words: Pair of rectangles, Wagstaff prime number, Primitive,
Non-primitive, Area.
Echoes of Pain: Unraveling the Mystery of Migraines
Authors: Journal IJSREM
Published: December 2024

A complex and disruptive neurological illness, migraines are marked by frequent, severe headache episodes that are
frequently accompanied by phonophobia, photophobia, and nausea. Despite their frequent occurrence, effective
therapy is difficult because of the incomplete understanding of the root causes. This study looks at the neurovascular,
genetic, and environmental elements that contribute to the pathophysiology of migraines to better understand their
complex character. We review current hypotheses, such as the involvement of neurotransmitters and the central
nervous system's reaction to pain, as well as cortical spreading depression and neuro inflammation. Additionally, we
evaluate improvements in therapy strategies, including both non-pharmacological and pharmaceutical therapies, as
well as diagnostic criteria. Through the integration of these various components, this article aims to present a
thorough review of migraine research, identify current knowledge gaps, and suggest future lines of study, eventually
advancing better management techniques for those who experience this illness.
Video Conferencing Software Development Kit (SDK) Using WEBRTC
Authors: P Jeevitha , D Sowmya , Abhiram K N , Kumar Kandiga Akshay , B S Chethan Kumar
Published: December 2024

The studies offered on this paper introduces
video conferencing, that is a device orientated to offer
its customers with an extra communique availability
through the convergence of traditional telephony and
real-time multimedia in web browsers. The device
consists of Internet software that provides a video
conference room for multiple customers without the
need to download additional software. The prevailing
task intent is to recommend a unified communications
device that stands out from the rest, particularly on the
side of interacting with the telephony community
directly from an internet browser as well as an
animated video conference that allows for a switch in
real- time media flows between these technologies.
The device was realized using WebRTC (Web Real
Time Communications) for real-time audio and video
transmission, Node.js as web server and signaling.

Key Words: WebRTC, Video Conferencing System,
Real Time Communication.
National Education Policy (NEP) 2020: A Hindsight Towards Our Indian Educational Roots
Authors:   University of Lucknow, Sharma Pallavi
Published: December 2024

The axle of this study is to trace out the educational implications from ancient education system of India with specific
reference to cultural values which would help in the successful implementation of national education policy-2020 of
India. This study uses qualitative approach and deploys a mix of desktop and Hermeneutics analysis to trace out the
educational implications with specific reference to ‘cultural value’ aspect while seeking perspective from ancient
education system of India. The overview of national education policy had been studied and tens of research papers on
NEP implementation and innovation aspect along with a deeper study of ancient education system of India were studied
to seek a perspective on relevance with current introduced NEP-2020.The study concludes that moving back to our
cultural roots in order to witness a headway/progression in the coming future is a wise proposition from national
education policy 2020. It is not taking a step back but a pull to accelerate with a great speed just like a catapult.
Inspirations from ancient Indian education system like Seva, Tarkik Chintan, Charitra Nirman, Yoga etc. will lead to
develop a complete man who will be able to work in any field with skills of critical thinking, educational expertise
along with values, empathy, appreciation and love towards own culture and patience and openness to new
possibilities and change.

KEYWORDS: National Education Policy 2020, hermeneutics analysis, desktop analysis, ancient education system
of India.
AI ENHANCED VIDEO EDITOR
Authors: P Dr. Ramya , T Gopi , S Krishna Kumar , R Jeevanyaa , K Vinayakashakaravarthi
Published: December 2024

The AI-Enhanced Video Editor is an
advanced tool designed to simplify and elevate
the process of content creation for video editors,
social media influencers, and other creative
professionals. Leveraging state-of-the-art
Generative AI technologies, it incorporates
Whisper for accurate transcription, MoviePy for
dynamic video editing, OpenCV for image and
video processing, and Transformers for powerful
AI-driven functionalities. This editor offers an
intuitive interface combined with scalable
architecture to ensure a smooth and efficient user
experience. Its robust API integrations enable
seamless incorporation of AI tools into
workflows, making it adaptable to diverse editing
needs. Security is a core focus, with end-to-end
encryption protecting user data during transfer.
Built on a modern technology stack, the tool uses
frameworks like React.js and Flask, Material-UI
for a responsive interface, React Router for
streamlined navigation, and Python as the
primary programming language. Additional tools
such as gTTS and Pydub enhance its audio
processing capabilities, providing a

comprehensive suite for media editing. The AI-
Enhanced Video Editor empowers users to

produce high-quality content effortlessly,
bridging the gap between conventional editing
tools and cutting-edge AI innovations. It is
tailored to meet the growing demands of the
digital age while ensuring scalability, efficiency,
and robust security for content creators.
WorkGen - A Unified Platform for Workforce Analytics and People Management
Authors: S L Karthika , S Pavithran , Jayakumar Archa , K Kalaivani
Published: December 2024

Effective workforce planning and management are
essential for organizational success in today’s
competitive, data-driven world. This paper introduces
WorkGen, a comprehensive web application that

revolutionizes workforce management through data-
driven insights, seamless analytics, and automation.

WorkGen combines cutting-edge technologies such
as Streamlit, Python, and the MERN stack to deliver
a unified platform that automates data visualization,
report generation, meeting scheduling, and project
allocation. By addressing critical challenges

organizations face, WorkGen enhances decision-
making, operational efficiency, and resource

management. Its robust architecture ensures
scalability and ease of use, making it a transformative
tool for workforce optimization. This paper discusses
the development process, methodologies, and
implementation results of WorkGen while
highlighting its unique capabilities and future
potential.
Systematic Literature Review
Authors: Aba-‘Ilmi Mohammad Nawa
Published: December 2024

This research aims to examine the development of research that addresses improve student learning outcomes through google meet. This research was conducted to determine: (1) a map of the development of the number of publications researching improve student learning outcomes through google meet; (2) know which scientific articles have the highest number of citations; (3) know the development map of scientific publications based on keywords. The data source used in this study is scientific articles in the google scholar database with google meet keywords, with article title categories, abstracts, and keywords in the range 2019-2022. The search results show that 318 scientific articles match keywords based on Harzing's Publish or Perish app. The results showed that research on improve student learning outcomes through google meet in 2019 - 2022 which was the highest in the google scholar database occurred in 2021 and reached 141 publications or 44%. Meanwhile, the publication that has the highest number of citations is (A Darmuki, 2020) which is quoted 154 times. A map of the development of scientific publications based on google meet’ keywords analyzed using the VOSViewer application shows that the research map is divided into 5 clusters.
Predicting Credit Paying Ability with Machine Learning Algorithms
Authors: Febriyanti Ama , Izzalqurny Tomy Rizky
Published: December 2024

Most people still have difficulty accessing finance because of a lack or even no credit history. This study aims to develop a data model that predicts a customer's ability to pay from various aspects other than credit history. This study uses the CRSIP-DM (Cross Industry Standard Process Model for Data mining) method. The data used in this study is the Home Credit Default Risk dataset collected by documentation techniques. The data were then analyzed using data modeling analysis techniques, namely logistic regressor, decision tree classifier, random forest classifier, and lgbm classifier. This study found that the best model for predicting client payment ability is the lgbm classifier or the Random Forest Classifier.
The Influence of Work Discipline and Non-Physical Work Environment on Employee Performance
Authors: Aulia Dita , Resawati Retno
Published: December 2024

The researcher conducted a study to understand the impact of work discipline and non-physical work environment on employee performance in a local government agency in Bandung. Additionally, this research aims to analyze the most dominant factors influencing employee performance between work discipline and the non-physical work environment in this particular local government agency being studied. The researchers interviewed 65 employees using questionnaires.
The research using path analysis found that the variables of work discipline and non-physical work environment in one of the local government agencies in the city of Bandung are valid. The conclusions and considerations regarding the research results emphasize the importance of paying attention to work discipline and non-physical work environment to enhance employee performance. The research findings indicate that Work Discipline (X1) significantly influences Employee Performance (Y). Furthermore, the Non-Physical Work Environment (X2) also significantly influences Employee Performance (Y).
To improve work discipline in one of the local government agencies in Bandung, we recommend that supervisors allocate time to supervise the implementation of company tasks and impose appropriate sanctions on employees who violate discipline. Leaders must pay attention to and be aware of any violations committed by anyone without discrimination among the employees. The company should also provide recognition to employees who perform well to enhance their performance. To improve the non-physical work environment, the researcher recommends organizing events or activities that can strengthen the relationship between employees and superiors, fostering mutual assistance and care among them. The local government agency should also maintain leaders who provide technical assistance to subordinates when they face difficulties, as it will significantly assist other employees.