bluuebunny/crossref_metadata_2025 huggingface dataset:
Problematics of Judicial Connection in Handling Corruption Cases (Decision Number: 74/Pid.Sus-TPK/2022/PN.Jkt.Pst)
Authors: Oktoberiandi Oktoberiandi , Sujono Sujono , Sudarto Sudarto
Published: September 2024

A connectivity court is a court that functions to try criminal offenses committed jointly by civilians and members of the military (TNI), both general and special crimes, such as corruption. Provisions regarding koneksitas courts are regulated in detail in the Criminal Procedure Code, specifically in CHAPTER XI Article 89 to Article 94, as well as Article 198 to Article 203 in Law Number 31 of 1997 concerning Military Courts. However, in practice, when there is a criminal offense involving members of the TNI and civilians, the case should be resolved through a koneksitas mechanism. In reality, perpetrators are often tried in different courts, with TNI members being tried in military courts and civilian perpetrators in general courts. This creates disparity and ignores the principle of equality before the law, which in turn creates injustice. Law enforcers focus more on procedural justice than on achieving substantial justice.
Perioperative Considerations for ASD Device Closure in the First Trimester: A Case of Secundum ASD with Bidirectional Shunt
Authors: Nugroho Yusuf Agung , Isngadi  , Ruddi Hartono
Published: September 2024

Introduction: Atrial septal defect (ASD) closure during pregnancy is a complex procedure requiring careful consideration of maternal and fetal risks. This case report highlights the perioperative management of a secundum ASD with a bidirectional shunt in a patient during her first trimester.
Case presentation: A 31-year-old woman, G3P2A0, presented at approximately 10-11 weeks gestation with a recently diagnosed large secundum ASD and pulmonary hypertension. She was on Sildenafil and Bisoprolol. Due to the potential risks associated with an unrepaired ASD during pregnancy, the decision was made to proceed with percutaneous ASD closure. General anesthesia was administered with meticulous hemodynamic monitoring. The procedure was successful, and the patient recovered without complications.
Conclusion: ASD closure during the first trimester can be safely performed with careful planning and execution. Multidisciplinary collaboration and vigilant monitoring are crucial for optimal maternal and fetal outcomes.
Bimbingan Kelompok Mengunakan Teknik Cinematherapy Untuk Meningkatkan Pemahaman Kepercayaan Diri Peserta Didik
Authors: Sriyani  , Sendayu Fendahapsari Singgih , Suriatie Mimi
Published: September 2024

Kepercayaan diri adalah keyakinan yang dimiliki setiap individu terhadap dirinya sendiri atas segala hal yang mereka lakukan. Permasalahan yang dialami oleh perserta didik adalah rendahnya kepercayaan diri terkait dengan keyakinan akan kemampuan dalam diri sendiri, optimis,  objektif, bertanggung jawab, rasional, berani dan mampu menyesuaikan diri. Tujuan dari penelitian ini adalah untuk melihat efektifitas layanan bimbingan kelompok menggunakan teknik Cinematherapy untuk meningkatkan pemahaman kepercayaan diri pada peserta didik dikelas XI MIPA 6 SMAN 2 Palangka Raya yang masih rendahnya pemahaman peserta didik terkait kepercayaan diri. Penelitian ini menggunakan penelitian eksperimen dengan desin one group pretest- posttest desain. Jumlah populasi dalam penelitian 50 peserta didik dan sampel berjumlah 6 peserta didik. Teknik pengumpulan data yang digunakan angket, wawancara, observasi, dokumentasi, buku, artikel, jurnal. Penghitungan data terdistrubusi normal, menggunakan statistic parametrik Kolmogrov-Smirnov dan perhitungan uji-t  menggunakan uji paired sampel t test dengan batuan (Program SPSS Versi 25). Analisis data menggunakan Uji normalitas dan Uji-t. dengan kriteria pengujian hipotesis negatif, nilai t-tabel yaitu 22,345 kurang dari 2,015. Dapat disimpulkan bahwa bimbingan kelompok menggunakan teknik Cinematherapy efektif untuk meningkatkan pemahaman kepercayaan diri pada peserta didik dikelas XI MIPA 6 SMAN 2 Palangka Raya.
PENGARUH SOCIAL MEDIA DAN WORD OF MOUTH TERHADAP PEMILIHAN NOBEL PADA MAHASISWA INSTITUT TEKNOLOGI DAN BISNIS NOBEL INDONESIA MAKASSAR
Authors: Pratama R Kartika Putri , Nurhaeda  , Hidayat Andi Ircham
Published: September 2024

Penelitian ini bertujuan untuk menganalisis (1) Pengaruh Social Media Marketing dan Word of Mouth secara parsial terhadap keputusan pemilihan kampus Nobel. (2) Pengaruh Social Media Marketing dan Word of Mouth secara simultan terhadap keputusan pemilihan keputusan pemilihan Kampus Nobel. (3) Variabel yang paling berpengaruh terhadap keputusan pemilihan Kampus Nobel pada Mahasiswa ITB Nobel Indonesia Makassar.
Sampel penelitian sebanyak 92 responden yang merupakan mahasiswa ITB Indonesia Makassar yang berkuliah di kampus ITB Nobel Indonesia Makassar, penelitian ini menggunakan metode analisis regresi linear berganda dengan pengumpulan data menggunakan kuesioner dengan skala likert.
Hasil penelitian menunjukkan bahwa (1) Secara parsial variabel Social Media Marketing dan Word of Mouth berpengaruh positif dan signifikan terhadap keputusan pemilihan kampus Nobel. (2) Secara simultan variabel Social Media Marketing dan Word of Mouth berpengaruh positif dan signifikan terhadap keputusan pemilihan Kampus Nobel pada Mahasiswa ITB Nobel Indonesia Makassar. (3) Variabel yang paling dominan berpengaruh terhadap keputusan pemilihan kampus Nobel adalah variabel Word of Mouth.
PENGARUH PERTUMBUHAN ASET, ROA, DAN ROE TERHADAP DER PADA PT BPR SYARIAH HARTA INSAN KARIMAH FAJAR NITRO
Authors: Nur Suriyadi , Susila Wila , Oktaviani Andi Ririn
Published: September 2024

Penelitian ini bertujuan untuk menganalisis pengaruh pertumbuhan aset, return on asset (ROA), dan return on equity (ROE) terhadap debt to equity ratio (DER) pada PT BPR Syariah Harta Insan Karimah Fajar Nitro. Metode penelitian yang digunakan adalah analisis regresi linear berganda. Data yang digunakan merupakan data sekunder berupa laporan keuangan PT BPR Syariah Harta Insan Karimah Fajar Nitro dari tahun 2019 hingga 2021. Hasil penelitian menunjukkan bahwa pertumbuhan aset berpengaruh negatif dan signifikan terhadap DER, ROA berpengaruh negatif dan signifikan terhadap DER, sedangkan ROE tidak berpengaruh signifikan terhadap DER.
Kata kunci: Pertumbuhan Aset, ROA, ROE, DER
Padidėjusio D-dimero kiekio sąsaja su COVID-19 infekcija ir vakcinacija bei plaučių embolija. Klinikinių atvejų apžvalga
Authors: Budrytė Aušrinė , Nosamaitė Gabrielė , Urbonas Gediminas , Paliokaitė Ieva
Published: September 2024

Plaučių embolijos ir COVID-19 ligos klinikinių išraiškų panašumas tapo diagnostiniu iššūkiu. Padidėjęs D-dimero kiekis, stebimas PE atveju, negali patvirtinti diagnozės – pokyčiai būdingi ir pasiskiepijus COVID-19 vakcina arba sergant COVID-19 liga, net jei nepasireiškia ūminė plaučių embolija. Padidėjusio D-dimero kiekio interpretavimas tampa sudėtingu, nes konkretaus kiekio, išskiriančio sergant COVID-19 ir plaučių embolija, nėra. Šiame straipsnyje aptariama D-dimero tyrimo reikšmė, siekiant diferencijuoti COVID-19 ligą ir plaučių emboliją.
FUNCTIONAL MODEL OF PROFESSIONAL COMPETENCE DEVELOPMENT OF FUTURE PRIMARY CLASS TEACHERS AND ITS COMPONENT STRUCTURE
Authors:   Independent researcher of Urganch State Pedagogical Institute, Uzbekistan, Amatovich Otajanov Islom
Published: September 2024

In this article, the functional model of the development of professional competence of primary school teachers and its structural structure are studied. The success of a teacher in his professional activity is one of the main requirements of the modern educational process and depends on his competence. Therefore, the main aspects of creating a functional model for the development of the professional competence of primary school teachers and its improvement have been revealed. The article talks about the structure of this model, its components and their interdependence, as well as ways to improve the teacher's professional skills. This model serves to modernize the education system and improve the quality of primary education.
THE STATE OF SPEECH AND COMMUNICATION SKILLS IN YOUNG CHILDREN
Authors:   Head of the Department of Preschool Education, Puchon University in Tashkent, Uzbekistan, Narimanovna Nazarova Elvira
Published: September 2024

The article substantiates the importance of the formation of communication skills in young children. The article also reveals the conditions for the correct formation of communication skills at an early age, describes the actions of close adults in the development of these skills.
Zooming in on what counts as core and auxiliary: A case study on recognition models of visual working memory
Authors: Robinson Maria M. , Williams Jamal R. , Wixted John T. , Brady Timothy F.
Published: September 2024

Research on best practices in theory assessment highlights that testing theories is challenging because they inherit a new set of assumptions as soon as they are linked to a specific methodology. In this article, we integrate and build on this work by demonstrating the breadth of these challenges. We show that tracking auxiliary assumptions is difficult because they are made at different stages of theory testing and at multiple levels of a theory. We focus on these issues in a reanalysis of a seminal study and its replications, both of which use a simple working-memory paradigm and a mainstream computational modeling approach. These studies provide the main evidence for “all-or-none” recognition models of visual working memory and are still used as the basis for how to measure performance in popular visual working-memory tasks. In our reanalysis, we find that core practical auxiliary assumptions were unchecked and violated; the original model comparison metrics and data were not diagnostic in several experiments. Furthermore, we find that models were not matched on “theory general” auxiliary assumptions, meaning that the set of tested models was restricted, and not matched in theoretical scope. After testing these auxiliary assumptions and identifying diagnostic testing conditions, we find evidence for the opposite conclusion. That is, continuous resource models outperform all-or-none models. Together, our work demonstrates why tracking and testing auxiliary assumptions remains a fundamental challenge, even in prominent studies led by careful, computationally minded researchers. Our work also serves as a conceptual guide on how to identify and test the gamut of auxiliary assumptions in theory assessment, and we discuss these ideas in the context of contemporary approaches to scientific discovery.
Social Media Marketing, Brand Image, Brand Awareness, Perceived Quality And Purchase Intention In Skincare Product Users
Authors: Oktavia Kiki Nur , Mariam Siti
Published: September 2024

This study aims to examine the influence of social media marketing on brand image, brand awareness, and perceived quality in skincare product users. Research methods using quantitative approach descriptive causality. The sample consisted of 105 respondents who are active skincare users on instagram. Data were collected through online questionnaires and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results showed that social media marketing has a significant and positive influence on brand image, brand awareness, and perceived quality, which can increase purchase intention. These findings indicate that an increase in social media marketing can increase consumer purchase intention. Based on the results of this study, it is recommended that skincare companies are advised to continue to optimize social media marketing strategies to build a positive brand image, increase brand awareness, and strengthen perceived quality in order to create consumer desire to buy products.
Estrategias Pedagógicas para Mejorar la Comprensión de Conceptos Ma-temáticos Abstractos en Estudiantes de Educación Media
Authors: Herrera Lemus Lisbeth Patricia , Consuelo Sanchez Bertha , Sumba Chacha Darwin Fabian , Chulli Cuello Janneth Fabiola , Casanova Narvaez Herma Morayba , Baque Curay Maria Teresa , Moran Garcia Irma Rocio
Published: September 2024

En este estudio se examinan las estrategias pedagógicas que tienen el potencial de optimizar la comprensión de conceptos matemáticos abstractos en alumnos de educación primaria. Frecuentemente, los estudiantes enfrentan dificultades al intentar comprender conceptos matemáticos abstractos, como el álgebra y la geometría, ya que les resulta complicado hacer la transición del pensamiento concreto al abstracto. Se investigan diversas técnicas pedagógicas diseñadas para facilitar el proceso de transición cognitiva mediante un enfoque mixto de investigación que incluye análisis cualitativos y cuantitativos. Dentro de las estrategias examinadas se incluyen el enfoque de aprendizaje basado en problemas (ABP), la utilización de recursos manipulativos y la integración de tecnología educativa. El aprendizaje basado en problemas se reconoce como una estrategia efectiva para promover el pensamiento crítico y la resolución de problemas en entornos matemáticos. Esto posibilita que los estudiantes investiguen de forma activa conceptos abstractos. El empleo de recursos manipulativos, como bloques o figuras geométricas, favorece la visualización y comprensión concreta de conceptos que de otra manera resultarían complejos de asimilar. El papel de la tecnología educativa en la enseñanza de las matemáticas abstractas también es analizado en el artículo. Las aplicaciones de matemáticas interactivas y las simulaciones digitales son herramientas eficaces para mejorar la comprensión de conceptos matemáticos, ya que ofrecen entornos visuales que permiten a los estudiantes experimentar y manipular dichos conceptos. Los resultados del estudio señalan que la integración de estas estrategias pedagógicas no solo potencia el desempeño académico de los alumnos en matemáticas, sino que también aumenta su motivación y confianza. La participación activa y la colaboración entre los estudiantes posibilitan a estos abordar de forma más eficaz los desafíos abstractos de las matemáticas, contribuyendo al desarrollo de un conocimiento más profundo. El artículo resalta la importancia de la formación de los docentes en el uso de estas metodologías como garantía para su efectiva aplicación en el entorno educativo. Se sugiere que un enfoque pedagógico apropiado tiene el potencial de convertir la enseñanza de las matemáticas abstractas en una experiencia más asequible y estimulante para el alumnado.
Percepción de Cuidados Perdidos en Familiares de Personas Hospitalizadas en Ciudad Salud, Atapaneo, Michoacán
Authors: Jiménez Valdez María Cleofás , Valadez Cisneros Ana Adelaida , Ortiz Mendoza Guadalupe , Guzmán Vega Esmeralda , Vargas Peña Josué
Published: September 2024

Introducción. Los cuidados perdidos son cualquier aspecto de la atención que requiera el paciente que se omite o se retrasa significativamente. Los cuidados perdidos afectan el progreso y dañan la integridad de las personas que no reciben cuidados. Objetivo. Analizar la percepción de los cuidados perdidos en familiares de personas hospitalizadas en Ciudad Salud, Atapaneo, Michoacán. Metodología. Estudio cuantitativo, diseño observacional, descriptivo y transversal. Muestra no probabilística de 138 familiares de personas hospitalizadas.  Instrumento: MISSCARE con 28 ítems. Se utilizó estadística descriptiva. Resultados. Mayoría de familiares de personas hospitalizadas fueron mujeres (69.6%), casados (45.7%), dedicados al campo (49.3%), universitarios (39.9%) y con media de 38.21 años (DE = 13.55) de edad; 54.3% es el cuidador principal, media de 19.18 días (DE=41.90) de tiempo de cuidado al paciente y media de 2.63 (DE=1.34) de personas que cuidan. Mayoría de pacientes fue mujer (54.1%), casados (57.2%), 55.1% con patología de medicina interna, con media de 51.02 años (DE=20.80) de edad y media de 19.18 días (DE=41.90) de tiempo de hospitalización. Respecto al cuidado perdido, 53.6% de los familiares lo consideran como nunca omitido. Conclusiones. Cinco de cada 10 familiares de pacientes consideran que el cuidado en enfermería nunca se omite.
Eficacia del Entrenamiento Otago para Mejorar Equilibrio y Reducir Riesgo de Caídas en Adultos Mayores
Authors: Márquez Celedonio Félix Guillermo , Alvarado Mañón Alexandra , Ponce Díaz Erick , Morales Sánchez Kevin Obed , Estrada López Diana Jazmín
Published: September 2024

Las caídas en adultos mayores son accidentes con alta prevalencia que se asocian a pérdida de la calidad de vida y muertes; estrategias fisioterapéuticas como el entrenamiento Otago permiten mejorar las condiciones físicas y reducir su riesgo. El objetivo de la investigación fue determinar la eficacia del entrenamiento Otago para mejorar el equilibrio y reducir riesgo de caídas en adultos mayores para lo cual se realizó una intervención experimental con grupo control y asignación aleatoria. Para medir el efecto de las intervenciones se aplicaron a 25 participantes en cada grupo la escala de Downton, la prueba de Tinetti y el test time up and go al inicio y final del estudio. Con entranamiento Otago 8 (32.0%) sujetos se clasificaron en riesgo alto en la medición basal Downton y al final 21 (84.0%) en riesgo bajo y 0 (0.0%) en alto (p < 0.01); con prueba de Tinetti riesgo alto en 7 (28.0%) al inicio y 0 (0.0%) al final (p < 0.001) y tiempo de marcha 22.8 ± 12.7 seg., al inicio y  12.1 ± 7.4 seg., al final (p < 0.001). Entrenamiento Otago tiene eficacia significativa para mejorar el equilibrio, la marcha y reducir la dependencia en adultos mayores.
Analysis of Comprehension Difficulties in Chemistry and Their Impact on Student Interest in Learning
Authors: Febriani Febriani , Hayyun Hayyun , Nilawati Ratna , Abdullah Abdullah
Published: September 2024

Chemistry is often considered a difficult subject for learners due to its abstract concepts and complex terminology. This can lead to difficulties in understanding the material and a decrease in students' interest in studying chemistry. The aim of this research is to describe and explain the factors of difficulty understanding in solving chemistry material experienced by students. The research method used is descriptive qualitative. The results show that 62.3% of students experience slight difficulty and 37.7% experience moderate difficulty in understanding chemistry material. The interest in learning chemistry of class XII MIA students is categorized as sufficient with a percentage of 46.68%. Factors causing difficulties in understanding chemistry material include a lack of understanding of mathematical concepts, the predominance of lecture methods, limited learning media, and the suboptimal use of chemistry laboratories. The conclusion of this research provides an overview that the factors causing difficulties in understanding chemistry material affect students' interest in learning. Therefore, these findings can be used as evaluation material to improve the quality of chemistry education in schools.
Handwritten Character Recognition using Enhanced Artificial Neural Network
Authors: MOHAMAD MUHAMMAD ARIF , Ahmad Muhammad Aliif
Published: September 2024

This study addresses the concerns regarding the performance of Handwritten Character Recognition (HCR) systems, focusing on the classification stage. It is widely acknowledged that the development of the classification model significantly impacts the overall performance of HCR. The problems identified specifically pertain to the classification model, particularly in the context of the Artificial Neural Network (ANN) learning problem, leading to low accuracy in recognizing handwritten characters. The objective of this study is to improve and refine the ANN classification model to achieve better HCR. To achieve this goal, this study proposed a hybrid Flower Pollination Algorithm with Artificial Neural Network (FPA-ANN) classification model for HCR. The FPA is one of the metaheuristic approaches is utilized as an optimization technique to enhance the performance of ANN, particularly by optimizing the network training process of ANN. The experimentation phase involves using the National Institute of Standards and Technology (NIST) handwritten character database. Finally, the proposed FPA-ANN classification model is analyzed based on generated confusion matrix and evaluated performance of the classification model in terms of precision, sensitivity, specificity, F-score and accuracy.
Experimental Investigation of Heat Transfer from Symmetric and Asymmetric IC Chips Mounted on the SMPS Board with and without PCM
Authors: Kurhade Anant Sidhappa , Kadam Arjun Arun , Biradar Ramdas , Bhambare Parimal Sharad , Gadekar Tushar , Patil Prashant , Yadav Rahul Shivaji , Waware Shital Yashwant
Published: September 2024

In the present study the experiments were conducted on steady-state that incorporated nine symmetric and asymmetric separate discrete integrated circuits (ICs), strategically positioned at different locations on a substrate board, both with and without phase-change material (PCM). These ICs were subjected to varying levels of heat flux. It has been noted that the temperature is highly influenced by variables such as the size and positions of integrated circuits (ICs), the heat flux applied to the ICs. Furthermore, the non-dimensional geometric distance parameter, λ, is notably affected by both the size and positioning of the ICs. It's observed that at a higher value of λ (0.19), the temperature decreases by 18.79% at a velocity of 3 m/s and by 26.48% at a velocity of 5 m/s without PCM. With PCM, the temperature drop is 23.58% at 3 m/s and 32.47% at 5 m/s. The correlation shows a regression of 0.97 and an RMS error of 0.012%. A proposed correlation establishes a connection between θ (non-dimensional temperature) and λ, suggesting that the maximum non-dimensional temperature (θ) decreases with an increase in λ. This implies that the maximum temperature of the integrated circuits (ICs) is reduced at higher λ values. These findings provide valuable insights for thermal design engineers, aiding them in optimizing the placement of integrated circuits (ICs) to improve the reliability and lifespan of the ICs.
Thermoelectric Cooling System for Vehicle Cabin during Parking Powered by Solar Photovoltaic Energy
Authors: Al-Hamadani Ali Abdulruda Farhan , Ali Taher Noor Al-Huda
Published: September 2024

When an automobile is parked in an open area, the temperature inside the cabin rises because heat is carried inside by convection, conduction, and solar radiation that enters via the windows. Elevated temperatures within the car's interior are not only harmful to passengers, but they can also deteriorate the plastic dashboard and electronic devices. A cooling fan, window film, and a sheet of aluminum foil to cover the windshield are utilized to reduce the amount of heat that builds up within the vehicle cabin. This research used a thermoelectric cooler powered by solar photovoltaic energy. The system consisted of two panels 660 watt, two GEL batteries 200 Ah, a solar charger, six thermoelectric modules, fins, and fans. The results show that the temperature inside the vehicle cabin lowered by 4°C without using the conventional air conditioning system, which used harmful refrigerants. The maximum coefficient of performance was 0.0138.
Comparative Experimental Analysis and Performance Optimization of Single-Cylinder DI and HCCI Engine with Series Catalytic Converters
Authors: Chaudhari Pavan Bhaskar , Arakerimath Rachayya , Pathan Khizar Ahmed , Khan Sher Afghan
Published: September 2024

The stringent norms imposed by the government to reduce emissions to the environment have forced all engine manufacturers to reduce engine emissions. Carbon monoxide and NOx emissions from diesel engines are topics of significant consideration. This causes climate change and natural calamities. The current paper focuses on the comparative performance optimization of single-cylinder engines in DI and HCCI mode fitted with custom-designed catalytic converters in Series configuration using Taguchi regression Analysis based on experimental results obtained for series combination. The present work tested a diesel engine in both DI and HCCI modes with catalytic converters in series configurations with various monolith lengths and compression ratios. The test results are then analyzed using the Taguchi method and regression analysis. Overall, BTE is higher for HCCI mode than DI mode with the series arrangement of catalytic converters in the 24% to 35% range. Meanwhile, BSFC is lower for HCCI mode, in the 20% to 64% range. Hydrocarbon emission is higher, starting from 15% to 48%. The NOx emissions are lower for lower load, but on full load, they are more than those in DI Mode. CO emissions are also Higher for HCCI mode in the 12% to 30% range.
A Study on Two-Phase Flow with High Viscosity and Low Surface Tension Liquid in a 40-Degree Inclined Mini Channel
Authors: Sudarja Sudarja , Sukamta Sukamta , Yudha Fitroh Anugrah Kusuma , Susanto Muhammad Heru , Kumolosari Eli
Published: September 2024

There are numerous applications of two-phase flow in mini pipes, including electronics cooling systems, microreactors in the chemical industry, and material development and manufacturing. This application requires a thorough understanding and is supported by complete data and information. However, the data and information are currently limited. Experimental research has been carried out on flow patterns, void fractions, and two-phase flow pressure gradients in small pipes. This study aims to obtain primary data on the subject. Dry air and a mixture of 67% distilled water, 30% glycerin, and 3% butanol represent the gas and liquid phases, respectively. The addition of butanol and glycerin each aims to reduce surface tension and improve the viscosity of the liquid phase, respectively. The density, kinematic viscosity, and surface tension of the liquid were 1,080.4 kg/m3, 2,368 mm2/s, and 38.6 mN/m, respectively. The test section was a 1.6 mm diameter glass pipe equipped with an optical correction box. The gas superficial velocity (JG) ranged from 0.025 to 66.3 m/s, whereas liquid superficial velocity (JL) varied from 0.033 to 4.935 m/s. The experiment was conducted under adiabatic conditions. Plug, slug-annular, annular, disperse bubbly, and churn flow patterns emerged, while separated flow was not discovered. For plug, slug-annular, and dispersed bubbly flows, the increase of JG proportionally affected the void fraction. However, for churn and annular flows, no particular relationship existed between JG and void fraction due to the slip between the real velocities of the gas and the liquid. The pressure gradient rose as JG and JL increased.
Development of Digital Image Processing Algorithms via FPGA Implementation
Authors: Suhaili Shamsiah , Huong Joyce Shing Yii , Lit Asrani , Kipli Kuryati , Huja Husin Maimun , Mohd Sabri Mohamad Faizrizwan , Julai Norhuzaimin
Published: September 2024

Real-time image processing is one of the fundamental elements in achieving IR 4.0. The rapid development of digital image processing techniques has enabled various applications in fields such as healthcare, transportation, and manufacturing. People are seeking higher-performance image processing as traditional image processing is no longer fulfilling the demands. FPGA-based digital image processing has become one of the choices for the public due to its parallel pipelining, which enables shorter processing time and better performance. Several digital image processing algorithms have been developed in this project, which are gray level transformation, brightness manipulation, contrast adjustment, thresholding, and inversion. They are the most popular algorithms used in digital image processing. Microsoft Paint is used to convert the format of the color input image to bitmap format, followed by MATLAB to convert it into a hexadecimal file to be read and written in FPGA. Platforms such as ModelSim Altera and Intel Quartus II are used to write Verilog HDL for digital image processing algorithms. As a result, five hexadecimal files are obtained from the simulation. The output hexadecimal files are further processed in MATLAB to generate respective images.
The Effect on Exercise Addiction and Anxiety Levels in Breathing Exercises in Bodybuilding Athletes
Authors: İlhan Aydın , Çoşkun Deniz
Published: September 2024

Abstract
Exercise is considered a promising and emerging treatment for individuals recovering from addiction. The purpose of this research is to examine the effect of breathing exercises on exercise addiction and anxiety levels in bodybuilding athletes. The population of the research consisted of 20 test subjects and 20 control volunteers, male and female participants, who exercised in the fitness center of the Asis sports complex located at Van Yüzüncü Yıl University in Van province. Breathing exercises were performed on the subject group for 40 minutes, 2 days a week for 10 weeks. The survey was measured twice in total for the subject and control groups, before the exercise program and at the end of the exercise program. Personal information form, Exercise Addiction Scale (EAS) and Beck Anxiety Scale (BAS) were used as data collection tools in the study. To find the relationship between breathing exercises and exercise addiction and anxiety levels, Shapiro-Wilk analysis was tested and T-test was used to compare two independent groups since normal distribution was detected. When we look at the control group, there was only a difference in the comparison of exercise addiction results, while in the experimental group, a significant difference was found between the performance of breathing exercises and the comparison of exercise addiction and anxiety results. It can be said that breathing exercises reduce exercise addiction and anxiety levels in individuals doing bodybuilding sports. It is very important to maintain balance and have a healthy approach when exercising. In order to benefit from the benefits of exercise to the maximum extent, personalized programs should be prepared and implemented under expert guidance. It may be recommended that Breathing Exercise studies be applied to other sports branches as well.
Keywords: Bodybuilding Athletes, Breathing Exercises, Exercise Addiction, Anxiety
Akıllı Telefon Kullanım Süresinin İtfaiyeci Adaylarının Kavrama Kuvveti ve El Becerisi Üzerindeki Etkisi
Authors: Karataş Mustafa
Published: September 2024

Bu çalışma, itfaiyeci adaylarının akıllı telefon kullanım süresinin kavrama kuvveti ve el becerisi üzerindeki etkilerini incelemiştir. Katılımcıların telefon kullanım süresi, kavrama kuvveti ve el becerisi ölçümleri değerlendirilmiştir. Araştırmaya 106 itfaiyeci adayı gönüllü olarak katılmıştır. Çalışmaya katılanların %26,4'ü kadın, %73,6'sı erkektir. Katılımcıların yaş (kadınlarda 20±1,38 yıl erkeklerde 20,1±1,4 yıl), boy (kadınlarda 1,67±0,05 m erkeklerde 1,77±0,05 m), kilo (kadınlarda 60,29±8,13 kg erkeklerde 74,9±11,9 kg), kavrama kuvveti (kadınlarda 30,36±4,94 kg erkeklerde 48,34±7,4 kg), el becerisi (kadınlarda 16,41±1,25 sn erkeklerde 16,34±1,48 sn) ve telefon kullanım süreleri (kadınlarda 413,68±97,14 dk/hafta erkeklerde 385±81,52 dk/hafta) tespit edilmiştir. Elde edilen verilerin analizinde SPSS 23 paket programı kullanılmıştır. Normal dağılım gösteren veriler, korelasyon ve regresyon analizleri ile incelenmiştir. Kadınlarda telefon kullanım süresi ile kavrama kuvveti arasında negatif ve anlamlı bir ilişki bulunmuştur (r=-0,592, p=0,001). Erkeklerde de benzer bir ilişki saptanmıştır (r=-0,264, p
BIM and orthogonal test methods to optimize the energy consumption of green buildings
Authors: Li Xiaojuan , Lin Mingchao , Jiang Ming , Jim C. Y. , Liu Ke , Tserng Huipin
Published: September 2024

The construction industry’s rapid growth significantly impacts energy consumption and environmental health. It is crucial to develop optimization strategies to enhance green building energy efficiency and encompass comprehensive analysis methods. This study aims to introduce and validate a novel framework for optimizing energy efficiency design in green buildings by integrating Building Information Modeling (BIM) technology, Life Cycle Cost (LCC) analysis, and orthogonal testing methods, focusing on enhancing energy efficiency and reducing life cycle costs. The optimization parameters for the building envelope are identified by analyzing energy consumption components and key green building factors. The orthogonal testing method was applied to streamline design options. Building Energy Consumption Simulation (BECS) software and LCC analysis tools were employed to calculate each optimized option’s total annual energy consumption and the current life cycle costs. Using the efficiency coefficient method, each optimization scheme’s energy consumption and economic indicators were thoroughly analyzed. The framework’s validity and applicability were confirmed through an empirical analysis of a campus green building case in Fujian Province, demonstrating that the optimized framework could reduce energy consumption by 4.85 kWh/m2 per year and lower costs by 38.89 Yuan/m2 compared to the reference building. The case study highlights the framework’s significant benefits in enhancing environmental performance and economic gains. The results provide critical parameter selection and offer scientific and technological support for the design of building energy efficiency, promoting optimization techniques and sustainable development within the construction industry.
Flux Rope Modeling of the 2022 September 5 Coronal Mass Ejection Observed by Parker Solar Probe and Solar Orbiter from 0.07 to 0.69 au
Authors: Davies Emma E. , Rüdisser Hannah T. , Amerstorfer Ute V. , Möstl Christian , Bauer Maike , Weiler Eva , Amerstorfer Tanja , Majumdar Satabdwa , Hess Phillip , Weiss Andreas J. , Reiss Martin A. , Green Lucie M. , Long David M. , Nieves-Chinchilla Teresa , Trotta Domenico , Horbury Timothy S. , O’Brien Helen , Fauchon-Jones Edward , Morris Jean , Owen Christopher J. , Bale Stuart D. , Kasper Justin C.
Published: September 2024

As both Parker Solar Probe (PSP) and Solar Orbiter (SolO) reach heliocentric distances closer to the Sun, they present an exciting opportunity to study the structure of coronal mass ejections (CMEs) in the inner heliosphere. We present an analysis of the global flux rope structure of the 2022 September 5 CME event that impacted PSP at a heliocentric distance of only 0.07 au and SolO at 0.69 au. We compare in situ measurements at PSP and SolO to determine global and local expansion measures, finding a good agreement between magnetic field relationships with heliocentric distance, but significant differences with respect to flux rope size. We use PSP/Wide-Field Imager for Solar Probe images as input to the ELlipse Evolution model based on Heliospheric Imager data (or ELEvoHI), providing a direct link between remote and in situ observations; we find a large discrepancy between the resulting modeled arrival times, suggesting that the underlying model assumptions may not be suitable when using data obtained close to the Sun, where the drag regime is markedly different in comparison to larger heliocentric distances. Finally, we fit the SolO's magnetometer and PSP's FIELDS data independently with the 3D Coronal ROpe Ejection (or 3DCORE) model, and find that many parameters are consistent between spacecraft. However, challenges are apparent when reconstructing a global 3D structure that aligns with arrival times at PSP and SolO, likely due to the large radial and longitudinal separations between spacecraft. From our model results, it is clear the solar wind background speed and drag regime strongly affect the modeled expansion and propagation of CMEs and need to be taken into consideration.
Forecast of Foreground Cleaning Strategies for AliCPT-1
Authors: Zhang Junzhou , Ghosh Shamik , Dou Jiazheng , Liu Yang , Li Siyu , Chen Jiming , Wang Jiaxin , Zhang Zhaoxuan , Delabrouille Jacques , Remazeilles Mathieu , Feng Chang , Hu Bin , Liu Hao , Santos Larissa , Zhang Pengjie , Zhao Wen , Zhang Le , Huang Zhi-Qi , Li Hong , Zhang Xinmin
Published: September 2024

We report the test results of several independent foreground cleaning pipelines used in the Ali CMB Polarization Telescope experiment (AliCPT-1), a high-altitude cosmic microwave background (CMB) imager in the Northern Hemisphere with thousands of detectors dedicated to the search for a primordial CMB polarization B-mode signature. Based on simulated data from four detector modules and a single season of observation, which we refer to as Data Challenge 1 (DC1), we employ different and independent pipelines to examine the robustness and effectiveness of estimates on foreground parameters and primordial B-mode detection. The foreground cleaning strategies used in the pipelines include the parametric method of template fitting (TF) and the nonparametric methods of constrained internal linear combination (cILC), analytical blind separation (ABS), and generalized least squares (GLS). We examine the impact of possible foreground residuals on the estimate of the CMB tensor-to-scalar ratio (r) for each pipeline by changing the contamination components in the simulated maps and varying the foreground models and sky patches for various tests. According to the DC1 data with the simulation input value r
true = 0.023, the foreground residual contamination levels in the TF/ABS/cILC/GLS pipelines are well within the corresponding statistical errors at the 2σ level. Furthermore, by utilizing the tension estimator, which helps identify significant residual foreground contamination in the detection of the primordial B-mode signal by quantifying the discrepancy between various r measurements, we conclude that the presence of small foreground residuals does not lead to any significant inconsistency in the estimation of r.
Finance et intelligence artificielle : une révolution en marche
Authors: Castanet Claire , Planes Camille
Published: September 2024

Après quelques années de traversée du désert, le concept d’intelligence artificielle (IA) est à nouveau sur le devant de la scène, laissant espérer des révolutions dans de nombreux secteurs d’activité. L’IA bénéficie en effet de la conjonction de la croissance exponentielle des capacités de calculs des ordinateurs et de l’accès à un univers de données d’une richesse décuplée par Internet et par les réseaux sociaux. Or, l’industrie financière se nourrit de sa capacité à capter de l’information, à traiter et à utiliser celle-ci pour apporter de la valeur ajoutée à ses opérations et à la restituer. Elle est donc largement impactée par cette révolution en marche qui touche aux racines mêmes de son modèle économique et qui pourrait la conduire à se voir déstabilisée par l’arrivée de nouveaux venus tels que les GAFA (25) , ce qui l’obligerait à se réinventer par des alliances, une nouvelle conception de ses métiers et une offre de services repensée. Nous observerons où en sont les univers du trading ‒ où le recours aux algorithmes est déjà ancien ‒ et de la gestion d’actifs, entre réalité et prospective. Puis nous examinerons la relation business-to-client , le client étant au centre de ces transformations, les accélérant par ses nouveaux besoins (ubiquité, disponibilité, rapidité) et par ses comportements (utilisation des réseaux sociaux). L’utilisation de l’IA pose de véritables défis à la fois à nos industries, mais aussi aux clients, citoyens et régulateurs. Pour ces derniers, il s’agit de ne pas freiner les bénéfices attendus de ces innovations fondées sur l’intelligence artificielle (par exemple, en matière de connaissance du client ou de détection des abus), tout en étant attentif aux risques qu’ils peuvent engendrer pour la protection des investisseurs ou le bon fonctionnement des marchés.
Intelligence artificielle et assurance
Authors: Dixneuf Patrick
Published: September 2024

Il ne faudrait pas que son statut de « mot à la mode » occulte le fait que l’intelligence artificielle est aujourd’hui en passe d’atteindre le stade industriel et commercial. Elle commence à transformer en profondeur de nombreuses activités économiques, ainsi que les relations humaines au niveau tant des clients que des collaborateurs. Devant toute innovation, le monde de l’assurance se doit de réfléchir à deux niveaux : le premier, comme pour tout secteur économique, est celui de la transformation de sa propre chaîne de valeur ; le second, plus spécifique, est celui de la gestion des risques, et donc potentiellement de la nouvelle matière assurable que crée toute nouveauté technologique ou industrielle. Enfin, sur le plan sans doute assurantiel, mais aussi sur le plan sociétal se posent de nombreuses questions de responsabilité et d’éthique, qu’il serait aussi irresponsable qu’illusoire d’éluder.
Entretien avec Tatsuya TANAKA, Président Monde du groupe Fujitsu, et Shingo KAGAWA, CEO, head of digital services business et CTO
Authors: Serris Jacques , Mantienne Delphine
Published: September 2024

Le 29 juin s’est tenue à Paris l’étape française du Fujitsu World tour 2017 «  Human centric innovation, Digital Co-creation  ». L’événement était tourné vers les enjeux de l’Intelligence artificielle, à la suite de la récente annonce par Fujitsu d’un accord de coopération avec l’INRIA et d’un investissement de plus de 50 M€ en France dans la transformation digitale, les partenariats avec les start-ups et l’ouverture d’un centre d’excellence sur l’intelligence artificielle au Drahi X-Novation Center de l’École polytechnique.
L’Homme face à l’intelligence artificielle : repenser l’éthique de la relation homme-machine
Authors: Gibert Paul-Oliver
Published: September 2024

Nous constatons aujourd’hui une rupture dans les relations entre l’homme et la machine, rupture permise par l’intelligence artificielle qui met l’humain en position de déléguer certaines actions à ces machines autonomes. Cette rupture appelle doublement une réflexion éthique : quel doit être, quel peut être le bon usage de cette nouvelle possibilité offerte par les machines ? Comment, de façon efficace, peut-on permettre la réalisation des espoirs de certains dans l’intelligence artificielle tout en évitant les cauchemars redoutés par d’autres ? Les machines autonomes réputées intelligentes devront intégrer dans leur conception des règles et des contraintes éthiques afin que les délégations que les humains leur accorderont soient exercées dans le cadre de ce que nous attendons d’elles. Parallèlement, il faut développer la capacité des hommes à juger et à agir par eux-mêmes en pleine conscience pour qu’ils ne soient pas asservis par des machines qu’ils auront euxmêmes construites. Il ne peut pas y avoir d’abdication du libre arbitre.
Artificial Intelligence: Challenges for the future
Authors: Vazirgiannis Michalis
Published: September 2024

Artificial intelligence is developing as a new revolution that affects almost all aspects of socio-economic life. The production and storage of unprecedented quantities of data, the abundance of computational resources and the huge industrial interest and investment enable AI dominance of many tasks, some of them currently done by humans. AI even enables solving problems that were previously unthinkable to tackle with and thus is expected to reshape society, economy and governance. On the other hand, the added value of AI is not expected be evenly shared among countries, thus increasing the risk for widening the gap among countries and social classes. Handling and managing the huge capabilities of AI is mainly a political decision in which powerful industries need to participate.
La procédure et la confiance des citoyens en la justice à l’épreuve de la dématérialisation
Authors: Lacabarats Alain
Published: September 2024

La confiance des justiciables dans le fonctionnement de la justice passe par l'adoption, aussi bien en matière civile qu'en matière pénale, de règles de procédure garantissant le respect du droit au procès équitable. Le recours aux technologies informatiques peut affecter la qualité des procédures juridictionnelles, en remettant en cause les conditions dans lesquelles sont appliqués les principes fondamentaux du procès. Mais au-delà de ce risque, ces technologies peuvent être également une chance à saisir pour l'institution judiciaire.
L’engagement dans une pratique collaborative : une question de « confiance » ?
Authors: Debroux Josette
Published: September 2024

De nombreux travaux s’intéressant au développement de « l’économie collaborative » s’inscrivent dans le paradigme de l’échange, avec la « confiance » comme concept central. L’engagement dans une pratique collaborative peut être analysé à partir du modèle dispositionnaliste et contextualiste, selon lequel la pratique résulte de la rencontre entre des dispositions – des manières de voir, de penser et d’agir – construites au cours de la socialisation et d’un contexte présent qui les actualise. L’enquête réalisée auprès de conducteurs réguliers de Blablacar montre que, au cours de leur socialisation, les conducteurs ont construit une disposition à être économes et, plus largement, une disposition ascétique, des compétences relationnelles, voire parfois un goût pour l’altérité. C’est à un moment d’incertitude sociale, de fragilisation du statut social, que démarre l’engagement dans la pratique dont ils ont eu connaissance par un proche qui les encourage. La pérennisation de la pratique suppose le renforcement de dispositions faiblement constituées.
Le numérique à l’école : la crise sanitaire, une opportunité pour développer une culture numérique
Authors: Merriaux Jean-Marc
Published: September 2024

À la suite de la fermeture de toutes les écoles le 16 mars 2020, l’ensemble de la communauté éducative a dû répondre à cette situation exceptionnelle, qui a touché 12 millions d’élèves, plus de 20 millions de parents, 800 000 enseignants et 400 000 agents du ministère chargé de l’Éducation nationale, en ayant recours massivement au numérique. Les outils institutionnels proposés par le ministère, ses opérateurs et ses partenaires tels que les outils « ma classe à la maison » du CNED, les ENT (espaces numériques de travail) et les ressources numériques ont permis de répondre à l’urgence et aux attentes des différents acteurs. La spécificité française qui repose sur la capacité à articuler les politiques publiques en matière de numérique avec le soutien d’une multitude d’acteurs a su montrer une certaine efficacité, soulignée par l’OCDE qui a cité la France comme l’un des pays ayant le mieux réussi à organiser cette continuité pédagogique. Avec cet article, nous cherchons, à travers une synthèse des retours d’expérience pendant la crise, à identifier quelques axes pour permettre le développement d’une culture numérique partagée dans un système éducatif en mouvement.
Vers la confiance, voire la certification, des systèmes à base d’intelligence artificielle
Authors: Chiaroni Julien
Published: September 2024

Le fonctionnement sûr des logiciels est au cœur de nombreuses applications de tous les jours, qu’il s’agisse du transport (automobile, aviation, rail…), ou des dispositifs de santé. Toutefois, la question reste ouverte lorsque les systèmes intègrent de l’intelligence artificielle (IA). Pour y parvenir, le développement de lignes directrices en matière d'éthique et de confiance est un élément central en vue de définir des exigences requises et partagées. Toutefois, avant de mettre en œuvre ces exigences ainsi que celles spécifiques à l’application et au contexte d’emploi, il est impératif de développer un cadre technique conduisant à revisiter l’ensemble de la chaîne de conception, d’évaluation et de déploiement des systèmes à base d’intelligence artificielle. Cela se traduit, d’une part, par le développement des briques logicielles permettant d’outiller l’ingénierie algorithmique et système de l’intelligence artificielle, et, d’autre part, par de nouvelles approches d’évaluation, voire de certification. C’est tout l’enjeu du « grand défi » que de lever ces verrous et permettre le déploiement de l’IA à de futurs produits et services, tout en garantissant la confiance nécessaire à l’acceptabilité sociale des futurs utilisateurs.