bluuebunny/crossref_metadata_2025 huggingface dataset:
AI-Driven Precision: Transforming Below-Knee Amputation Care in Modern Healthcare
Authors: AlQaissi Sarah Duraid , AlDuroobi Ahmed A.A. , Kadaw Abdulkader Ali. A.
Published: November 2024

Recently, three-dimensional models 3DM in the prosthetics field gained popularity, especially in the context of residual limb shape creation resulting from collecting medical images in Digital Imaging and Communications in Medicine DICOM format from a magnetic resonance imaging MRI after image processing accurately. In this study, a three-dimensional model of the residual limb for a patient with transtibial amputation was realized with the integration of artificial intelligence and a computer vision approach demonstrating the benefits of AI segmentation tools and artificial algorithms to generate higher accuracy three-dimensional model before prosthetic socket design or in case of comparison the 3D model generated from MRI with another 3D model generated from another technique, where a residual limb of a 23 years old male patient with amputation in the left leg wearing a prosthetic socket liner, and having 62 kg weight, 168 cm height, with high activity level. The patient was scanned using GE Medical Systems, 1,5 Tesla Signa Excite.  MRI images in DICOM format were read to retrieve essential metadata such as pixel spacing and slice thickness. These images were processed to obtain a model that reflects the real shape of the residual limb using a specific algorithm, and the 3D model was extracted using AI segmentation tools. The obtained 3D model result with high resolution proves the potential of the artificial intelligence approach with deep learning to reconstruct 3D models concluding that AI has an instrumental role in medical image analysis, particularly in the areas of organ and tissue classification and segmentation., thus generating automatic and repetitive a 3D model.
Rethinking Domestic Debt: Implications for Indonesia's Financial Sector
Authors: Sekarani R.A. Aisyah Fathia , Sugema Iman , Pasaribu Syamsul Hidayat
Published: November 2024

Financial development performance can be affected by using domestic debt to address the public sector financing deficit, especially in countries like Indonesia where the financial sector is highly dependent on one subsector while others are still in their infancy. This study investigates Indonesia’s financial development as affected by domestic public debt using secondary time series data from 2010Q1 to 2020Q3. The study employs Principal Component Analysis and Ordinary Least Squares regression models. The findings show that increasing domestic public debt has a positive and significant impact on financial development in Indonesia. Furthermore, it is revealed that domestic public debt positively and significantly affects financial activity and financial size but has a negative and significant impact on financial efficiency. Therefore, the government should consider reducing securitized debt instruments, especially those issued to the banking system, as this may hinder financial development in the long run.
Adopsi dan Implementasi Permakultur Dalam Meningkatkan Pendapatan Petani dan Mempertahankan Keragaman Biodiversitas
Authors: Liana Suryaningsih B.  , Herman Suheri  , Nurrachman  , Jayaputra  , Ziyadil Ikbar
Published: December 2024

Pembangunan sektor pertanian saat ini dititikberatkan pada pertanian industri yang berkelanjutan untuk meningkatkan ekonomi dan kualitas sumber daya manusia. Dusun Selen Aik menghadapi tantangan dalam pengelolaan kebun dan keragaman tanaman, yang menyebabkan resiko penyakit dan manajemen kebun yang rendah. Penerapan Good Agricultural Practices (GAP) penting untuk meningkatkan kualitas dan daya saing produk yang dihasilkan dari lahan kebun petani. Produksi buah yang tidak merata dan kurangnya pemanfaatan limbah pertanian juga menjadi masalah. Oleh karena itu, diperlukan peningkatan keterampilan petani dengan teknologi ramah lingkungan untuk mencapai pertanian yang berkelanjutan. Adapun tujuan dari kegiatan pengabdian ini adalah untuk meningkatkan kualitas dan daya saing produk perkebunan dan hortikultura melalui penerapan Good Agricultural Practices (GAP) pada penerapan permakultur dan teknologi ramah lingkungan yang bermanfaat terhadap upaya peningkatan pendapatan petani, keberlanjutan ekonomi, serta perlindungan lingkungan. Kegiatan pengabdian masyarakat ini melibatkan 56 petani dari kelompok Tandan Hijau. Metode yang digunakan meliputi survei, observasi, dan pendekatan tindak partisipatif, di mana petani dilibatkan dalam semua tahapan kegiatan yang mencakup ceramah, diskusi, pelatihan, dan demonstrasi lapangan tentang sistem permakultur dan teknologi budidaya organik. Evaluasi dilakukan untuk menilai keterlibatan, antusiasme, dan penerapan pengetahuan oleh peserta. Petani menunjukkan peningkatan kesadaran dan pemahaman tentang pentingnya permakultur, penanganan hama, dan 'carbon farming.' Mereka juga mulai mengolah limbah kebun menjadi kompos dan pakan ternak. Selain itu, bantuan alat seperti rak pengering diserahkan dan demplot pengelolaan kebun secara permakultur akan segera dilakukan dengan pendampingan yang berkelanjutan. Permakultur berperan penting dalam meningkatkan kesejahteraan petani serta memberikan kontribusi positif pada masyarakat dengan memperbaiki ekonomi dan lingkungan.
Sosialisasi Smart-ICows Aplikasi Sistem Pengenalan Individu Sapi Ternak pada Kelompok Koperasi Ternak Sapi di Lombok Timur
Authors: Wiriasto Giri Wahyu , Misbahuddin Misbahuddin , Iqbal Muhamad Syamsu , Rachman A Sjamsjiar , Akbar L A Syamsul Irfan , Zamroni Sulthon
Published: December 2024

Secara umum kebutuhan pangan hewani sebagian besar masih ditopang dari produksi daging sapi. Data sensus masih belum menggambarkan situasi nyata jumlah yang sebenarnya sehingga selisih proyeksi data sensus masih belum menggambarkan tingkat ketersediaan secara pasti. Pada tingkat peternak telah diupayakan oleh stakeholder penggunaan penanda qrcode yang dipasangkan pada telinga sapi sebagai metode identifikasi individu. Sekilas hasil pengamatan di lapangan menunjukkan bahwa penggunaan metode ini memiliki keterbatasan, terutama terkait dengan kelemahan dalam redundansi data dan validasi registrasi individu sapi baru. Terdapat potensi kesalahan saat nomor identitas sapi tertukar antara peternakan dan tempat penjualan ternak. Kesalahan lainnya tidak terpantaunya jumlah sapi yang telah masuk pada rumah potong sehingga secara sensus masih tetap terhitung. Selain itu pada domain penggemukan, diperlukan pencatatan riwayat perawatan. Oleh karena itu, diperlukan sistem yang dapat mendukung peternakan sapi berbasis teknologi. Pada tahap awal, solusi sistem yang kami tawarkan adalah sistem identifikasi biometrik cerdas atau smart ICows yang terintegrasi pada peternakan sapi khususnya pemilik ternak. Sistem ini berupa aplikasi berbasis android terpasang pada perangkat smartphone yang dimiliki setiap pemilik ternak. Sistem ini berperan sebagai alat identifikasi yang nantinya dapat terhubung pada sistem basisdata rekam-jejak pemuliaan sapi ternak. Proses identifikasi ini menggunakan image moncong atau muzzle sapi. Dalam kegiatan pengabdian pada masyarakat ini, kami ingin menguji hasil pengembangan sistem identifikasi sapi ternak dengan tingkat akurasi 83%.
Adotando novos caminhos – um caso de acolhimento institucional em psicoterapia psicanalítica
Authors: Gomes Vanessa Camargo
Published: December 2024

Este estudo apresenta um caso de acolhimento institucional
de ummenino de 6 anos recebido para psicoterapia individual, de orientação psicanalítica, em uma clínica privada da região metropolitana de Porto Alegre. O artigo parte de um caso atendido na prática de estágio profissional curricular introduzindo esta escrita de modo a situar a/o leitor/a na contextualização do caso discutido, em como chegou para
atendimento e de que forma era atendido na instituição. Apresenta-se a prática clínica desenvolvida com o caso Gabriel de modo com que seja possível compreender os elementos conhecidos de sua história. Ainda, são abordados ao longo do texto pontos importantes observados no processo psicoterapêutico de Gabriel, como a dicotomia entre
bom e mau na infância e seu destaque quando se refere às crianças em acolhimento institucional; as mudanças acontecidas quando há a possibilidade de adoção e de uma nova realidade de vida, propondo reflexões sobre a prática clínica inicial da terapeuta, as mudanças e os desdobramentos do caso.
Palavras-chave: estudo de caso; acolhimento institucional; psicoterapia psicanalítica; adoção.
O voluntariado nas enchentes do Rio Grande do Sul (RS) sob a ótica de uma psicóloga voluntária
Authors: Amaral Raquel Aires do
Published: December 2024

Resumo: As enchentes ocorridas no Rio do Grande do Sul (RS) em
maio de 2024 superaram todas as marcas históricas. Por isso, o vo
luntariado nessa situação de desastre se tornou inevitável, tendo em
vista os danos causados. Este estudo buscou refletir sobre a ação dos
voluntários que atuaram junto aos atingidos pelas enchentes e possíveis
impactos na saúde deles, a partir de um relato de experiência. Refletiu-
-se que, os voluntários que atuaram durante a crise, ficaram vulneráveis
a impactos na sua saúde em razão do cenário a que ficaram expostos.
Compreende-se ser de suma importância pensar ações de cuidado dos
mesmos. Por fim, destaca-se a importância de ampliar os estudos volta
dos ao desenvolvimento de ações e estratégias de cuidado aos voluntá
rios que atuam em contextos de desastres e emergências para que, num
esforço contínuo, se construam respostas mais eficientes para se tratar
das situações de crise.
Palavras-chave: voluntariado; enchentes. saúde; Psicologia.
Corpo-metamorfo: território transicional da experiência “de passagem”
Authors: Bittencourt Diennifer Couto
Published: December 2024

Resumo: Nesta escrita, corpos “de passagem” tem como sentido apostar num processo de transformação (re)inventiva de ser e estar no mundo; é criar, a partir dos encontros com o outro, na sua potência do inédito, brechas e desvios para aquilo que entendemos como desejo-livre. Através de um breve percurso ético-estético-político pela Psicologia Esquizoanalítica, pretende-se entender as características de
ser corpo-de-passagem, e o que, enquanto potencial no processo clínico, se apresenta como potência de invenção de si. Para isso, caminha-se na direção de construir uma ideia nômade e rizomática desse território transicional que é a experiência de ser um corpo de passagem, principalmente nas práticas de serviço-escola. Dessa forma, a escrita apresenta-se como um convite para que ser-de-passagem tome o lugar de
travessia, aquele que, dentro da ideia de uma clínica dos afetos, ocupaesse processo de maneira metamórfica, investindo na produção de subjetividades múltiplas e singulares, que não se encerram em si.
Palavras-chave: corpos de passagem; produção de subjetividade; encontros clínicos; metamorfose.
PRIMEIROS SOCORROS NAS ESCOLAS: RELATO DE EXPERIÊNCIA
Authors: SANTOS MARLESON DIEGO DAMASCENO DOS , SILVA CARLOS EDUARDO SOZINHO DA , GONÇALVES GIULLY BERNAL , FREIRE HANNAH CAROLYNE PIRES , SANTOS NINA TEREZA MACIEL , ALVES PAULA MARCELA ALARCON , RAMOS THAINA NUNES , TEIXEIRA NICEANE DOS SANTOS FIGUEIREDO
Published: December 2024

Primeiros socorros são um conjunto de ações primárias prestadas a vítimas de acidentes ou mal
súbito, com a intenção de manter os sinais vitais da vítima em parâmetros de normalidade e impedir a
evolução do quadro da vítima para óbito, até a chegada do suporte avançado de vida no local do acidente
(Mello, 2023).
INTERVENÇÕES PÓS-PARADA CARDIORESPIRATÓRIA: HIPOTERMIA TERAPÊUTICA E NEUROPROTEÇÃO
Authors: BRITO IGOR SOUZA , RAMOS BRUNA SCIAMMARELLA , BRITO BRENO SOUZA
Published: December 2024

A parada cardiorrespiratória (PCR) é uma das emergências médicas mais graves, com alta taxa de
mortalidade e morbidade. Mesmo quando se consegue reverter o quadro com o retorno da circulação
espontânea (RCE), ainda enfrentamos um desafio significativo: o impacto sobre a função neurológica.
Isso acontece porque, ao interromper o fluxo de sangue e oxigênio para órgãos vitais, principalmente o
cérebro, ocorrem lesões isquêmicas e hipóxicas. Essas lesões desencadeiam uma série de eventos que
podem causar danos neurológicos severos, muitas vezes permanentes.
Resistiendo el control estatal: el Instituto Guadalupe Victoria de Aguascalientes, institución formadora de maestras católicas y urbanas
Authors: Recéndez Guerrero Emilia
Published: November 2024

El objetivo del presente trabajo es visibilizar y analizar las estrategias implementadas por algunas escuelas particulares contra las medidas efectuadas por el Estado mexicano en su afán por obtener la hegemonía educativa. Se eligió como objeto de estudio o ejemplo de esa resistencia al Instituto Guadalupe Victoria de Aguascalientes, considerando su larga trayectoria educativa en la defensa de un proyecto encaminado a modelar mujeres que conservaran los principios e ideales católicos, mediante el ejercicio de la práctica docente. El arco temporal es amplio y a la vez concreto, va desde su fundación (1807) hasta que cerró la Normal (2020), a fin de mostrar las tácticas y formas que se implementaron en la institución para subsistir en tiempos de crisis y prosperar en tiempos de paz. Se recurrió a una metodología mixta utilizando alguna bibliografía temática entretejida con las remembranzas de dos exalumnas. Se analizan categorías como disciplina, orden, reconocimiento, competitividad, memorización, como parte de su modelo educativo, que si bien pareciera anclado a la tradición, la conciliación con las reformas educativas, la actualización de los planes y programas de estudio favoreció la renovación continua y permitió la permanencia.
De trazos, colores y letras sobre el papel. Los cuadernillos de escritura como fuente para hacer historia de la educación de la niñez indígena de México. Un distrito queretano, 1879-1884
Authors: Castillo Molina Daniel Gibran
Published: November 2024

Este trabajo estudia la petición escrita de útiles y pensamientos femeninos en dos años diferentes (1879 y 1884) realizada por niños y niñas en un distrito indígena. Se muestra cómo esos breves escritos, más que mecanismos evaluadores y de reconocimiento personal, constituyeron trasfondos temáticos que eran poco visualizados en la época. Por ello, más allá de las manifestaciones educativas y valorativas, se intenta reflexionar sobre la participación infantil dentro del escrito; la inculcación escrita del español y la internalización del pensamiento de sus preceptores. Por tanto, los cuadernos escolares encontrados ofrecen una gama de aristas que pueden ser analizadas en futuros trabajos.
Panorama de las revistas académicas especializadas en el área de historia e historiografía de la educación en México
Authors: Trujillo Holguín Jesús Adolfo
Published: November 2024

Las revistas académicas especializadas son el canal de comunicación más importante para las y los integrantes de la comunidad científica a nivel nacional e internacional. Aunque el predominio de la revista impresa en papel se mantuvo durante varios siglos (Leyva y Gaitán, 2019; Reyna y Alonso, 2015), durante las últimas dos décadas se posicionó el formato electrónico como la opción predominante en los procesos de edición y publicación, gracias a la irrupción de recursos informáticos como el software libre Open Journal Systems –OJS–, que representa una de las iniciativas más importantes en el impulso a las políticas mundiales de acceso abierto al conocimiento (Open Access) y uno de los recursos más eficientes para apoyar los procesos de gestión editorial.
Optimal Technology License Contracts with Quality Improvement Under Stackelberg Competition
Authors: Ze Jia Xuan , Le Yand
Published: December 2024

As society develops, the phenomenon of technology licensing is becoming more prevalent. This paper analyzes the optimal licensing contract for the patentor with a quality improvement innovation in a Stackelberg duopoly market. We examine and compare two licensing contracts (fixed-fee licensing and royalty licensing) in terms of the patent-holding firm’s profit, consumer surplus, and social welfare. We also study the impact of quality differences on the choice of licensing contract. One might expect that consumer surplus and social welfare are greater under fixed-fee licensing. However, we show that this conclusion seems to be untrue under quality improvement technology licensing. Moreover, we find that (1)A royalty fee is always better than a fixed-fee authorization for the innovator’s profits; (2) Relative to social welfare, there is a threshold between fixed-fee authorization and concession authorization, and when this threshold is exceeded, concession fees are adopted, and vice versa for fixed-fee authorization.
Emerging approaches to genetic therapy in treatment for breast cancer
Authors: Jimena Pagaza-Hernández  , Jazmín E. Barrientos-Cabrales  , Dayanara G. López  , Julissa Carrillo-Villarreal  , Aylin Meza-Sifuentes  , Monica M. Nuñez-Vallez  , Brissia Lazalde
Published: December 2024

Breast cancer is one of the leading causes of death among women, which implies an urgent need to explore further alternative therapeutic strategies than conventional surgery, chemotherapy, and radiotherapy treatments. Thus, prevention should be highlighted through early genetic screening, not only among patients with clear risk factors but also among the general population in order to discover predisposition and intervene earlier.
The current therapeutic innovations are focused on improving such treatments by devising less invasive and more specific approaches. Examples include gene repair, such as halting tumor growth by restoring functionality to damaged genes using CRISPR and similar technologies. MicroRNAs have also shown much promise in controlling major cancer processes such as metastasis and cell division. Besides, nanoparticle-based drug delivery allows for more effective release of drugs. Consequently, there is lesser development of side effects. Suicide gene therapy is also commanding more attention against breast cancer as a less aggressive and hence more effective therapy with the appearance of selective killing of cancerous cells.
Harnessing AutoCAD designs with machine learning for smart building optimization
Authors: Saket Maheshwari  , Manya Agrawal
Published: December 2024

One intriguing approach to enhancing building architecture, increasing energy efficiency, and automating predictive maintenance is to integrate AutoCAD designs with machine learning (ML). This study investigates the ways in which CAD data and AI methods might improve design procedures and advance sustainability. Among the most important uses are automated design optimization methods, such as genetic algorithms and reinforcement learning, which improve natural lighting, ventilation, and thermal insulation while lowering energy use. Additionally, by examining architectural elements taken from CAD files, machine learning models like Random forest and Classification Models may mimic energy performance and allow for data-driven design modifications.
In order to simplify feature recognition and analysis, the study also explores the use of computer vision models, such as ANN, to extract geometric characteristics from AutoCAD drawings. Still, issues including insufficient datasets, high processing costs, and incompatibility with conventional design tools must be resolved. This study lays the groundwork for using AI to promote smart construction practices and sustainable urban planning by analyzing recent research and pointing out new trends
The impact of advertising on sales growth in some selected telecommunication companies in Mogadishu –Somalia
Authors: Dahir Ahmed Hassan
Published: December 2024

Purpose: This study examined the impact of advertising on sales growth of some selected Telecommunication Companies in Mogadishu Somalia.
Methods: This study was performed through correlation research design, focused sample of 55 employees focused of some selected telecommunication companies especially Hormuud, Somnet and Sometel Telecommunication companies in Mogadishu.
Results: 49 (89%) out of 55 of the respondents were male while 6 (11%) out of 55 of the respondents were female. In terms of respondent’s age of less than 20 were 2 respondents, 43 respondents were between 20 and 30 years old, while 10 respondents were 30-40. Thus, this implies that respondents questioned were all mature enough to answer the questionnaire distributed to them. Overall mean of TV advertisement is 3.676 and standard deviation 1.1312, this indicates that the TV advertisement was very good, also Radio advertisement, Billboard advertisement and print Media advertisement were very good when we look at their mean of 3.402, and standard deviation 1.1908, mean of 3.362, SD of 1.1206, mean of 3.13, SD of 1.147 respectively.
Conclusion: The main purpose of this study is to investigate the impact of advertising on sales growth of some selected telecommunication companies in Mogadishu-Somalia. To achieve this Main purpose the researchers used Pearson's product moment correlation. As analysis has shown that the TV advertisement and sales growth have a strong positive relationship given (r =.656, and P-value is less than 0.01), as well as the result indicates that there is a strong positive relationship between radio advertisement and sales growth given (r =.470, and P-value is less than 0.01). The researchers recommended telecommunication companies to use the different kinds of advertisements in order to reach their products or services to the general public.
Perforated jejunal diverticulitis: A case report
Authors: Abidine L’kbir  , Maroua Benali  , Lina Laasri  , Hicham Bensalem  , Youssef Abdelhafid  , Stephane Arblade  , Safia Bergueil
Published: December 2024

Jejunal diverticulitis is a rare pathology identified either incidentally on imaging or intra-operatively. a delayed diagnosis can lead to significant morbidity and mortality. We report a case of a 58 -year old with history generalized abdominal pain. Computer tomography scan revealed a perforated jejunal diverticulum. The patient underwent small bowel resection with primary anastomosis.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care
Authors: Sydney Anuyah  , Mallika K Singh  , Hope Nyavor
Published: December 2024

The integration of artificial intelligence [AI] into clinical trials has revolutionized the process of drug development and personalized medicine. Among these advancements, deep learning and predictive modelling have emerged as transformative tools for optimizing clinical trial design, patient recruitment, and real-time monitoring. This study explores the application of deep learning techniques, such as convolutional neural networks [CNNs] and transformer-based models, to stratify patients, forecast adverse events, and personalize treatment plans. Furthermore, predictive modelling approaches, including survival analysis and time-series forecasting, are employed to predict trial outcomes, enhancing efficiency and reducing trial failure rates. To address challenges in analysing unstructured clinical data, such as patient notes and trial protocols, natural language processing [NLP] techniques are utilized for extracting actionable insights. A custom dataset comprising structured patient demographics, genomic data, and unstructured text is curated for training and validating these models. Key metrics, including precision, recall, and F1 scores, are used to evaluate model performance, while trade-offs between accuracy and computational efficiency are examined to identify the optimal model for clinical deployment. This research underscores the potential of AI-driven methods to streamline clinical trial workflows, improve patient-centric outcomes, and reduce costs associated with trial inefficiencies. The findings provide a robust framework for integrating predictive analytics into precision medicine, paving the way for more adaptive and efficient clinical trials. By bridging the gap between technological innovation and real-world applications, this study contributes to advancing the role of AI in healthcare, particularly in fostering personalized care and improving overall trial success rates.
Transforming global health through multimodal deep learning: Integrating NLP and predictive modelling for disease surveillance and prevention
Authors: Oluwatosin Agbaakin  , Verseo’ter Iyorkar
Published: December 2024

The integration of multimodal deep learning (DL) approaches in global health represents a transformative advancement in disease surveillance and prevention. The complexity of modern public health challenges, including emerging infectious diseases, healthcare disparities, and resource constraints, necessitates innovative tools that can analyse and interpret diverse data sources in real time. Multimodal DL combines natural language processing (NLP) and predictive Modelling to bridge the gap between structured data, such as case numbers and hospital resources, and unstructured data, including epidemiological reports, social media, and clinical notes. By doing so, it provides comprehensive insights for early outbreak detection, resource allocation, and risk management. NLP enables the extraction of actionable information from diverse unstructured datasets, facilitating the identification of disease patterns and potential outbreaks from news articles, public health bulletins, and social media trends. Predictive models, on the other hand, excel in forecasting disease spread, estimating healthcare demand, and optimizing resource distribution. Together, these technologies empower decision-makers with real-time, actionable insights, enhancing public health preparedness and response capabilities. This paper explores the applications of multimodal DL in disease surveillance, focusing on its role in integrating diverse data modalities for actionable insights. It highlights case studies demonstrating the success of AI-driven tools in mitigating outbreaks and improving healthcare resource management. Additionally, the study discusses ethical, social, and technical challenges, offering recommendations for scaling these systems globally. The adoption of multimodal DL can significantly advance public health strategies, ensuring a more resilient and equitable healthcare system.
Thinking the Future Potential of Artificial Intelligence in Law Enforcement
Authors: Putri Feby Milenia Yahya Krisna , Hakim Hary Abdul , Praja Chrisna Bagus Edhita , Espares Gerald
Published: November 2024

The use of Artificial Intelligence (AI) indicates the beginning of a new era in the development of digital technology. In general, AI's capabilities are considered to be able to solve problems which have been experienced by professionals, including AI robots which have also been widely used in law enforcement processes. However, the development of AI in law enforcement is certainly not without obstacles in which it is marked by the existence of a legal vacuum which forms the basis for the legality of AI use and a lack of literacy among law enforcers regarding the use of AI. In addition, law enforcement officials in Indonesia are still less aware of the benefits of using AI in order to support their profession. The aim of this study is to analyze the urgency of the implementation of AI for law enforcement in providing legal services and law enforcement processes. The research method used was a normative legal method with a statutory approach and a conceptual approach. Moreover, the analysis was conducted qualitatively and presented descriptively. The result shows that Artificial Intelligence (AI) is very important in helping develop services and law enforcement in which law enforcers in Indonesia so far still rely on manual or conventional methods in conducting their duties. Furthermore, AI can provide benefits in terms of time efficiency and accuracy in assessing cases which are urgently needed by law enforcement. Meanwhile, in terms of law enforcement's perception of the use of AI, they position AI as an assistant which cannot completely replace the law enforcement profession since AI does not have the human characteristics which law enforcement officers should have.
Purification, Defilement, and Privilege? An Example from the Hemerological and Menological Corpus
Authors: Hätinen Aino
Published: December 2024

This paper discusses the purity instructions found in the ‘Lying Down Menology’, the latest addition to the corpus of hemerological and menological literature from Babylonia and Assyria. After briefly describing the nature of this text and its instructions for incubation rituals, the discussion will focus on purity in this context, establishing that the dirtiness prescribed in some of the instructions relates to other negative aspects incorporated in the ritual, such as eating malodorous foods. Finally, I will argue that the use of luxury products in this ritual suggests that only the wealthy members of the upper social classes could adhere to the instructions of the ‘Lying Down Menology’ throughout all twelve months of the year.
Bathrooms and Toilets in Babylon-Merkes: Speculation or Reality?
Authors: Bielefeld Svende
Published: December 2024

This paper examines the rooms with drainage facilities of the Neo-Babylonian dwellings in Babylon-Merkes, which Reuther interprets as bathrooms or toilets in his excavation report. This interpretation will be reappraised by asking the following questions: is it possible to understand Neo-Babylonian attitudes to hygiene in dwellings in Babylon-Merkes, to identify specific rooms in which measures were undertaken influenced by such attitudes, and to link such precautions to a specific social class? If not, can another interpretation for drained rooms be proposed relying on the Akkadian words used for individual rooms and features? The final aim is to provide a comprehensive overview of the potential functions of drainage systems in residential areas.
Peningkatan Akses Informasi Masyarakat Melalui Pembuatan Website Desa Turirejo, Gresik
Authors: Aminulloh Mohammad Ilyas , Widodo David Wahyu , Ivananda Muhammad Hilmi , Mahendra Zidan Bayu , Retnawati Lestari
Published: November 2024

Turirejo Village, Gresik, faces challenges in delivering information to its residents. The lack of access to important information causes limitations in community participation and appropriate decision-making. The purpose of this service is to improve access to information and community participation in Turirejo Village through the creation of a village website. The methods used include needs analysis, design, creation, and training on the use of the website to village officials and the community. The result of this activity is the creation of a website that functions as an effective means of information and communication between village officials and the community. This website provides various important information such as village news, activities, announcements. In addition, the training provided to village officials and the community improved their ability to manage and utilise the website independently. Thus, this project not only created a digital communication tool but also empowered the community in using information technology.
Pelatihan Media Penunjang Kegiatan P5 Bagi Siswa SMA Sunan Giri Menganti Gresik
Authors: Widiartin Tjatursari , Saurina Nia , Indra Prasetya Noven , Kukuh Adisusilo Anang , Syidada Shofiya , Ihsan Pribadi Teguh
Published: November 2024

P5 stands for the Pancasila Youth Profile Strengthening Project. This project is part of the Merdeka curriculum. P5 is one of the Indonesian government's efforts to realize the values of Pancasila in the education system of the nation's next generation. P5 activities must basically be holistic, contextual, learner-focused, and exploratory. Whatever type of activity is carried out, in the end each student is required to make a report on the results of the activity in the form of videos, posters, books, and so on. Through this Community Service activity, mentoring training will be carried out for Sunan Giri Menganti Gresik High School students so that they have a variety of P5 activities and are easy to make activity reports by introducing several media that will support the making of activity reports.
Implementasi Metode WebQual 4.0 dan Customer Satisfaction Index (CSI) Untuk Analisis Tingkat Kepuasan Mahasiswa Terhadap Layanan Website AIS Universitas Mulawarman
Authors: Rosmasari Rosmasari
Published: November 2024

Universitas Mulawarman (Unmul) merupakan salah satu perguruan tinggi negeri yang ada di Kota Samarinda, Kalimantan Timur. Unmul memiliki portal akademik berbentuk aplikasi web yang dapat diakses oleh civitas akademik yang ada di Unmul. Unmul memilki Sistem Informasi Akademik (SIA) yang beralih menjadi Academic Integrated System (AIS). Selama penerapan AIS belum ada yang melakukan pengukuran terhadap tingkat kepuasan Mahasiswa terhadap layanan website AIS secara menyeluruh dari berbagai aspek dan perspektif pengguna. Penelitian ini bertujuan untuk mengetahui bagaimana Tingkat kepuasan mahasiswa terhadap layanan website akademik AIS Unmul, serta kualitas layanan website dari perspektif pengguna. Penelitian ini menggunakan 100 kuesioner dengan variabel penelitian menggunakan metode webqual 4.0 yang terdiri dari usability, information quality, service interaction quality dan untuk analisis data digunakan metode customer satisfaction index. Metode webqual 4.0 bertujuan mengetahui valid, reliabel nya data dan mengetahui persepsi responden, untuk tingkat kinerja yang memilih sangat tidak setuju sebesar 4%, tidak setuju sebesar 12%, cukup setuju 38%, setuju sebesar 38% dan sangat setuju sebesar 9%, atau bisa dikatakan cukup puas terhadap kualitas layanan website AIS Universitas Mulawarman, sedangkan untuk persepsi responden pada tingkat kepentingan yang memilih sangat tidak penting sebesar 0%, tidak penting sebesar 0%, cukup penting sebesar 10%, penting 58%, dan untuk sangat penting 58%. Metode customer satisfaction index bertujuan untuk mengetahui tingkat keseluruhan baik tingkat kesesuaian, antara tingkat kinerja dengan tingkat kepentingan dan mengetahui tingkat kepuasan pengguna secara menyeluruh. Dari hasil perhitungan CSI didapatkan 67,33% puas dikarenakan skor yang berada pada rentang 66% sampai dengan 80,99% puas, hasil uji kesesuaian antara tingkat kinerja dengan nilai tingkat kepentingan didapatkan dari ke tiga variabel sebesar 80% dan dari ke tiga variabel ini perlu ada perbaikan, variabel usability terutama kemudahan akses website AIS, variabel information quality, prioritas perbaikan adalah menyajikan informasi yang lengkap dan terperinci. Variabel service interaction quality perbaikan diperlukan untuk meningkatkan reputasi website dengan memperbaiki kinerja.
Советские праздники как социально-психологический и идеологический индикатор общества
Authors: Зиганьшин Ринат
Published: December 2024

В статье рассматривается феномен праздников, в первую очередь – государственных, их роль, место и значение в исторической ретроспективе, особенно во времена СССР и Новой России, их эволюция и трансформация как идейно-психологическая реакция общества на социально-политические перемены в государстве. Рассматриваются в первую очередь государственные праздники, их взаимоотношения с церковно-религиозными, замещение одних другими.
Цивилизация как объект междисциплинарного исследования (материалы круглого стола)
Authors: Чумаков Александр , Гринин Леонид , Малков Сергей , Билюга Станислав , Шпырко Ольга , Сулимов Андрей , Коротаев Андрей , Гринин Антон , Алешковский Иван , Давыдова Ольга , Краснова Влада , Белоусова Алина , Козырева Мария , Прохорова Дарья , Андреев Алексей
Published: December 2024

1 июня 2024 г. на факультете глобальных процессов Московского государственного университета имени М. В. Ломоносова по Программе развития МГУ (проект № 24-Ш05-12 «Цивилизации как объект математического моделирования») состоялся круглый стол «Цивилизации как объект междисциплинарного исследования». Участники круглого стола обсудили вопросы цивилизационного развития мирового сообщества, рассмотрели различные концепции и подходы к пониманию исторического процесса в целом, а также отдельных государств и их альянсов в частности. При этом каждый участник круглого стола был ориентирован на то, чтобы с позиции своих профессиональных интересов дать рабочее определение понятию «цивилизация». Затем в результате обсуждения и обмена мнениями ставилась задача определиться в общих подходах к содержанию понятия «цивилизация», которое является основополагающим для данного проекта.
Innovative teaching: How pre-service teachers use artificial intelligence to teach science to fourth graders
Authors: Abualrob Marwan Mohammad
Published: December 2024

This study aims to uncover the prompts most frequently repeated by pre-service teachers when using the Copilot technique, as well as their reflections on its use in preparing and planning science lessons for fourth graders. The qualitative research methodology with an exploratory case-study design was conducted on a purposeful sample of 20 pre-service teachers. The sample was divided into four focus groups. Data was collected through document analysis of the outcomes from the pre-service teachers’ artificial intelligence creations, their reflective journal entries, and the discussion that occurred during the four focus groups’ interviews. The study’s results revealed that the applications mostly used by pre-service teachers include lesson plans, instructional media, authentic assessment, tables, pictures, drawings, and instructional strategies. Six themes emerged from the reflective Journal and focus groups’ interview analysis connected to the use of the Copilot method in teaching. These themes were the following: developing cognition of new ideas, attracting attention to things that never crossed their minds, saving time and effort, compatibility with students’ needs, less human interaction, and dependency.
Identifikasi Kualitas Udara pada Ruangan menggunakan Deret Sensor Gas dan Algoritma LDA
Authors: Swarga Luhfita Tirta , Swarga Lutfi Agung
Published: December 2024

In Indonesia, the amount of carbon emissions and other gas elements has increased from year to year due to vehicle fumes, factory fumes, and the smoke emitted by cigarettes. This situation is considered a factor in air pollution because it produces carbon monoxide (CO), hydrogen (H2), nitrogen monoxide (NO), and other substances. Exposure to this pollution can be bad for health, even causing death. This research creates a prototype for detecting air quality in rooms using gas sensor arrays and the LDA (Linear Discriminant Analysis) algorithm, especially for concentrations of CO, H2, and NO gas elements. The measurement data is then processed using the Linear Discriminant Analysis (LDA) algorithm as a classification method to determine the air quality. The results of the experiment show that this system can classify the air quality in four different rooms with an accuracy of 88,30%.
The Utilization of the Insta-story Feature as a Tool to Build Self-Image in Students of the Faculty of Social and Political Sciences (FISIP) University of Lampung
Authors: Hidayati Dewi Ayu , Irmasari Heni
Published: December 2024

This study aims to describe how to use instastory features in shaping self-image and to describe the reasons users use instastory features in shaping self-image. This study used qualitative research methods. Informants in this study were 9 students from the Faculty of Social Sciences, University of Lampung with different majors. In addition, this study uses data collection techniques of observation, in-depth interviews, and documentation. Data analysis in this study uses data reduction, data presentation, and drawing conclusions and data verification. The results of this study show that: (1) Students of the University of Lampung Social Sciences before sharing photos or videos, always add edits to the uploaded photos or videos. Students also pay attention to appearance, give make- up before sharing photos or videos to the instastory. (2) University of Lampung Social Sciences students form a self-image in the institution with a variety of objectives, one of the reasons for forming self-image is because they want to be recognized in cyberspace and want to have a positive impact and desire to get a job offer.
 Keywords: Student, instastory, self-image.
 
Abstrak
Penelitian ini bertujuan untuk mendeskripsikan bagaimana penggunaan fitur instastory dalam membentuk citra diri serta untuk mendeskripsikan alasan pengguna menggunakan fitur instastory dalam membentuk citra diri. Peneliti menggunakan metode kulitatif. Informan pada penelitian ini berjumlah 9 orang mahasiswa Fisip Universitas Lampung dengan latar belakang jurusan yang berbeda. Selain itu, penelitian ini menggunakan teknik pengumpulan data observasi, wawancara mendalam, dan dokumentasi. Analisis data pada penelitian ini menggunakan reduksi data, penyajian data, serta penarikan kesimpulan dan verifikasi data. Hasil penelitian ini menunjukan: (1) Mahasiswa Fisip Universitas Lampung sebelum membagikan foto atau video, selalu menambahkan editan dalam foto atau video yang di unggah. Mahasiswa juga memperhatikan penampilan, memberikan polesan make-up sebelum membagikan foto atau video ke instastory. (2) Mahasiswa Fisip Universitas Lampung membentuk citra diri di instastory dengan tujuan yang beragam yang salah satu alasan membentuk citra diri yakni karena ingin di akui keberadaan nya di dunia maya serta ingin memberikan dampak positif dan keinginan untuk mendapatkan tawaran pekerjaan.
Kata kunci : Mahasiswa, instastory, citra diri
Teachers’ Principled Resistance to Curricular Control: A Theoretical Literature Review
Authors: Huddleston Andrew P. , Talley Stephanie , Edgington Sara , Colwell Emily , Dale Allison
Published: November 2024

The purpose of this project was to conduct a theoretical literature review of the research that has documented examples of teachers’ principled resistance to curricular control. Principled resistance occurs when teachers reject curricular policies and programs that control their work and conflict with their professional principles. The authors examined the pedagogical commitments that led to teachers’ principled resistance and drew upon Lacey’s and Sikes et al.’s model of teacher socialization to analyze how teachers have engaged in principled resistance. The authors located 62 studies published between 1984 and 2022. Teachers resisted forms of neoliberal curricular control they believed did not meet their students’ academic and social needs, most negatively impacted ethnically diverse and impoverished students, and was not culturally responsive. Teachers enacted principled resistance through strategic compliance, strategic compromise, strategic redefinition, overt and outright resistance, and leaving. Implications for researchers, school administrators, policymakers, and teachers are discussed.
60-Second-Long Counter-Manipulation Inoculation Interventions Somewhere Over the Iron Curtain
Authors: Orosz Gabor , Faragó Laura , Salamon Janos , Goldberg Beth , Roozenbeek Jon , Krekó Péter
Published: December 2024

Can a one-minute video make any defense for online manipulation? This is a crucial question in a cultural context where Russian propaganda and Western information sources are equally present. This preregistered work replicates the brief online randomized controlled trial counter-scapegoating intervention of Roozenbeek et al. (2022) and, using the same technique, tests two new interventions: counter-decontextualization and counter-discrediting (Nall=1,200). All three could increase the recognition of the manipulation techniques. Counter-scapegoating and -discrediting interventions could reduce sharing intentions. Counter-discrediting and -decontextualization interventions reduced the trustworthiness of the manipulative content. These hyper-scalable and brief video-based interventions appear effective in a cultural context where disinformation and misinformation are broadly present.
What Makes an Efficient Adult Inmates’ Trainer?
Authors: Evaggelos Anagnou , Iosif Fragkoulis , Alexandra Tzinavou
Published: December 2024

Second Chance Schools operating under the strict framework of the prison are an innovative educational institution in the field of Adult Education and confirm the invaluable value of corrective education. The peculiarities of the prison area and the socially vulnerable group of trainees require the staffing of Second Chance Schools Prisons with adult trainers equipped with appropriate skills and abilities to meet their complex, demanding and expanded educational role. This article analyzes the profile of an effective adult trainer of incarcerated individuals through a case study in Greek Second Chance Schools in Prisons. Specifically, it explores the necessary knowledge, skills, and attitudes that an trainer must possess in order to be effective in their role. Semi-structured interviews (convenience sampling) were conducted with 13 trainers at two Greek Second Chance Schools operating within correctional facilities. The data were analyzed using thematic content analysis. As the research indicates, the essential knowledge required for trainers includes the principles of adult education, the principles of educating vulnerable social groups, and knowledge of intercultural education. Key skills identified include communication, the ability to perceive the needs of inmate learners, and the management of problems and conflicts. Trainers consider fundamental attitudes to be acceptance, respect, setting boundaries in the trainer-trainee relationship, and humor.
Semantic Layer Reconstruction in Large Language Models Using Multi-Level Transformer Feedback Mechanisms
Authors: Welling Charles , Longborough Beatrix , Winterbourne Barnaby , Eisenhardt Isabella
Published: December 2024

Semantic Layer Reconstruction introduces a transformative mechanism for refining the interactions between transformer layers, leveraging recursive feedback to enhance semantic coherence across linguistic tasks. The framework incorporates a multi-level feedback mechanism that recalibrates token embeddings through bidirectional propagation of semantic cues, addressing challenges such as semantic drift and alignment inefficiencies. By dynamically integrating higher-layer abstractions into earlier computational processes, the approach fosters a more coherent synthesis of token-level and contextual representations. Experimental evaluations reveal significant improvements in perplexity, BLEU scores, and semantic similarity indices, highlighting the framework's ability to address complex linguistic phenomena. Layer-wise analyses underscore the critical contributions of middle layers in achieving optimal semantic alignment, while attention-weight distributions demonstrate a more balanced contextual focus. The recursive feedback mechanism also proved instrumental in capturing long-range dependencies, showcasing its utility in tasks requiring deep contextual understanding. Comparative configurations further validated the adaptability of the mechanism, with dynamic recursive intervals outperforming static approaches across all metrics. Noise-resilience experiments highlighted the model's robustness, while visualizations of semantic drift reduction provided compelling evidence of improved coherence. The integration of the mechanism into existing transformer architectures maintained computational efficiency through optimizations such as sparse attention and modularity. The study bridges theoretical innovations with empirical validation, offering a scalable and adaptable solution for advancing the semantic capabilities of transformer-based architectures. The findings provide a foundation for redefining the paradigms of contextual representation and layer-wise interaction in contemporary language modeling.