bluuebunny/crossref_metadata_2025 huggingface dataset:
Do autistic adults spontaneously reason about belief? A replication study
Authors: Partington Hannah , Nosyk Maryna , Hughes Gillian , Wu Ruihan , Chowdhury Ishita , White Sarah Joanne
Published: October 2024

To overcome the criticisms of earlier work using anticipatory-looking paradigms to investigate implicit mentalizing in autism, Wu et al. (2024) recently presented a multi-trial paradigm with matched true-belief and false-belief conditions. This study is a replication of Wu et al.’s work using a novel set of stimuli and a separate group of participants, all of whom were naïve to this paradigm. Fifty-four (26 autistic) participants completed an implicit mentalizing task with both high- and low-demand false-belief conditions with two corresponding true-belief control conditions, alongside an explicit mentalizing task. In accordance with Wu et al. (2024), our findings support the presence of spontaneous mentalizing difficulties in autistic adults, despite strong explicit mentalizing abilities. Therefore, we provide further evidence that whilst some autistic adults with high-IQs may have developed compensatory strategies that mask mentalizing difficulties on explicit tasks, implicit tasks reveal differences in the underlying spontaneous mechanism.
A Cross-Cultural Approach to Cognitive State Attribution based on Inter-turn Speech Pauses
Authors: Matzinger Theresa , Pleyer Michael , Zhang Elizabeth Qing , Zywiczynski Przemyslaw
Published: October 2024

This study explores how inter-turn speech pauses influence the perception of cognitive states such as knowledge, confidence, and willingness to grant requests in conversational settings. Longer pauses are typically associated with lower competence and willingness, but Matzinger et al. (2023) discovered that this attribution varies when non-native speakers are involved. They found that listeners were more tolerant of long pauses from non-native than from native speakers when assessing their willingness to grant requests. This may result from the fact that listeners may attribute long pauses to the additional cognitive load non-native speakers face when processing and responding in a second language. This tolerance towards long pauses by non-native speakers did not extend to judgments about non-native speakers’ knowledge and confidence - potentially because knowledge questions are less socially engaging than requests. Here, we replicated and extended Matzinger et al.’s (2023) experiment, which focussed on speakers of Polish, to a cross-cultural context with speakers of Chinese. Our results confirmed that non-native accent mediates perceptions of willingness, but not knowledge or confidence. These findings suggest that inter-turn speech pauses play a nuanced role in cognitive state attribution of native and non-native speakers and that cultural factors minimally influence these perceptions. This may indicate that the mechanisms involved are rooted in evolutionarily fundamental aspects of human social communication and cognition.
Reporting health information systems research in peer-reviewed publications
Authors: Gray Kathleen Mary
Published: October 2024

Writing up health information systems research for publication draws selectively on the scholarly conventions of both health sciences and information sciences. This chapter outlines what it means to be an author of a health information systems paper. It gives pointers to appropriate peer-reviewed journals, conference proceedings, book publishers, and preprint servers. It identifies the most pertinent research reporting guidelines from both disciplines. It mentions selected style guides and generic writing tools that are useful in preparing reports of health information systems research.
Wirksamkeit und Partizipation in der Jugendsozialarbeit aus Adressat:innensicht. Ergebnisse einer quantitativen Studie im Feld der Jugendberufshilfe
Authors: Fuchs Benjamin , Böhm-Fischer Annina
Published: October 2024

Jugendberufshilfe wird in Teilen der Literatur als Kontrollsystem verstanden, das zudem fehlende Wirkungsbefunde hat. Wir erforschen anhand von 24 Angeboten der Jugendsozialarbeit im Bereich der Jugendberufshilfe, wie Adressat:innen die Angebote wahrnehmen. Wir zeigen mit quantitativen Daten aus dem Land Berlin (n=192), dass sie die Angebote als wirksam und partizipativ ausgestaltet erleben. Zudem werden benachteiligte Gruppen, obwohl gewisse Unterschiede im Partizipationsempfinden bestehen, insgesamt angemessen adressiert.
Adaptive capacity in Pacific Islands: responding to coastal and climatic change in Nagigi village, Fiji
Authors: McMichael Celia , Yee Merewalesi , Cornish, CSIRO Gillian , Lutu Alisi , McNamara Karen E
Published: October 2024

Coastal communities across the Pacific are increasingly recognized as places of priority for climate adaptation. Pacific Island communities are developing and using strategies to adapt their lives and livelihoods to climatic and environmental risks. Highlighting the case study of Nagigi village, Fiji, we identify adaptation responses to multiple environmental and socio-economic pressures including changing social structures, food insecurity, coastal erosion, extreme weather events and COVID-19. Through a decolonised qualitative methodology, and building on conceptual frameworks of adaptative capacity, we examine six dimensions that shape local adaptive capacity in Nagigi: local assets and resources; experiential and communicated knowledge of socioecological change; social organization; agency and capacity to act (particularly among women); diversity of adaptation options; and Pacific worldviews and values including communal values, commitment to Vanua, and stewardship of local resources. This paper offers insights into how community members understand and respond to multiple pressures, highlighting key dimensions of adaptive capacity. It challenges discourses that focus excessively on the ‘vulnerability’ of Pacific Islanders by highlighting local adaptation to changing socio-ecological and climatic circumstances.
Exploring Trends and Taxonomies in Survey Papers on Large Language Models through Data Science
Authors: Rajput Aayushi
Published: October 2024

This report provides an in-depth analysis of survey papers within a specific dataset, utilizing various data science techniques. The main goal is to investigate, manipulate, and evaluate the data to uncover trends and distributions of taxonomy related to surveys in this field.
The exploration phase began with a time-series analysis of survey releases, allowing for the visualization of trends over time. Subsequently, taxonomy distributions were analyzed through bar and pie charts to identify the most common categories.
A feature matrix was created in the manipulation phase by implementing TF-IDF vectorization on the textual components (titles and summaries) and one-hot encoding for categorical variables. These features were then normalized and divided into training and testing sets to facilitate model evaluation.
For the evaluation process, a Random Forest classifier was employed to predict the taxonomy of surveys based on the extracted features. Performance metrics accuracy and precision were utilized, with the model achieving an accuracy of 56.89\%. Other models such as LinearSVC, and Logistic Regression were also used for data evaluation and they gave approximately the same accuracy as that of random forest classifier. While this result suggests significant room for improvement, it highlights the potential of machine learning to automate the classification of survey papers based on their content.
This analysis demonstrates how data science methods, including natural language processing (NLP) and machine learning, can be leveraged to discern trends, conduct feature engineering, and assess models in the context of survey data. Future research may focus on integrating more sophisticated models and feature selection strategies to enhance predictive accuracy.
Integrating ambulatory assessment data into clinical practice: Perspectives on interpretation and implementation
Authors: Piccirillo Marilyn , Burger Julian , Hall Mila , Hehlmann Miriam Ina , Scholten Saskia
Published: October 2024

Objective: Naturalistic, personalized, ambulatory assessment (AA) data collected using smartphones or other health-tracking devices provides unparalleled opportunities for clinicians to assess symptoms, experiences, and therapy processes outside of session, ultimately strengthening the precision of clinical assessment and facilitating the delivery of increasingly personalized and adaptive (digital) interventions. However, there is relatively little clinician-friendly guidance to support the interpretation or implementation of AA data in psychotherapy. As clinical researchers and practicing psychologists, we aim to outline how AA data can be used collaboratively between clients and clinicians. Method: We describe a case example involving the collection of self-reported AA data, then explain the challenges with interpreting and implementing AA data for clinical care. Results: We discuss implementation-related barriers and provide recommendations for clinicians and those working in applied settings who are interested in integrating AA into their practice. For example, we recommend clinicians use a co-define client-centered variables and outcomes of interest, particularly a reporting period timeframe and a threshold at which change could be considered clinically meaningful. Conclusion: We encourage the formation of research-practice partnerships between clinical researchers and clinicians to address barriers at the
Representing the drivers of lifestyle change in Integrated Assessment Models using theories from environmental psychology: introducing the Motivation, Agency, and Past Behaviour (MAP) framework
Authors: van Valkengoed Anne M , Steg Linda , Perlaviciute Goda
Published: October 2024

Sustainable lifestyle changes are an important demand-side solution to reduce CO2 emissions. While sustainable lifestyles are increasingly included in integrated assessment models, modellers have so far not managed to realistically model what drives changes in lifestyles. Important questions about the feasibility and likelihood of lifestyle change, and how lifestyle changes can be accelerated or promoted thus go unanswered. Environmental psychology is a discipline dedicated to understanding environmental behaviour, and its theories and findings could therefore be instrumental to informing the modelling of lifestyle change in integrated assessment models. Yet, we identify two barriers currently hinder the systematic integration of this knowledge into integrated assessment modelling. The first barrier is plurality: there are many theories and findings that are potentially relevant to modelling lifestyle change, but guidance is lacking on which to apply when. The second barrier is ambiguity: many theories in psychology are not precise enough to unambiguously translate them into a mathematical model. To overcome the barrier of plurality, we introduce the Motivation, Agency, and Past behaviour (MAP) framework, which summarises and integrates the insights of 8 prominent behavioural theories used in environmental psychology and that can be used to determine which theories and determinants are most relevant for specific modelling applications. To overcome the barrier of ambiguity, we identify three areas where the precision of theorizing in environmental psychology can be improved, namely definitions and consistent use of constructs, the specification of relationships between constructs, and describing the strength and boundary conditions of these relationships. We urge for closer collaborations between modellers and environmental psychologists to successfully model the drivers and impacts of sustainable lifestyle change.
Climate Fiction, Real Impact: Causal Evidence for Narrative Climate Content's Longitudinal Effect
Authors: Tiwathia Anirudh , Rakhimov Abdurakhim , Syropoulos Stylianos , Thulin Erik
Published: October 2024

Featuring climate content on screen is believed to be a highly efficient strategy for shifting audiences’ climate beliefs, attitudes, and behaviors. With this objective, major studios and other media organizations have launched initiatives to increase the prevalence of climate content. Despite various psychological theories proposed for how climate content may influence beliefs resulting in climate action, many studies assessing the empirical evidence for this pathway rely on cross-sectional analyses with severely limited causal attribution and nearly all studies only measure the impact at a single point in time, limiting our understanding of the persistence of any estimated impact. In this study, we address these limitations through a longitudinal randomized controlled trial (N = 1,014), estimating the impact of watching narrative climate content (a climate focused episode of the television series Madam Secretary) on a set of climate beliefs and attitudes, including belief in climate change, endorsement of government action, social norms around climate action, and other drivers of personal action. These measures were assessed at baseline, as well as three later points (immediately post-viewing, 3-5 days post-viewing, and 7-10 days post-viewing). We find that watching narrative climate content can significantly increase pro-climate beliefs and attitudes. While these positive changes tend to decline across time, they often persist 7-10 days post-viewing. This finding lends credible causal evidence for the claim that on-screen narrative climate fiction has the power to shift relevant climate beliefs and attitudes, even significantly post-viewership, and may be an effective tool supporting large scale social change towards climate action.
Bachelor Thesis 2016-17: Analyzing the Goal Contribution of English Club Midfielders
Authors: Chowdhury Koushik
Published: October 2024

Football is the most popular sport, followed by all the countries. Professional clubs spend huge amounts of money to fetch good players for competition at the highest domestic levels. In its efforts to achieve performance-related goals, clubs have to ensure that they identify the right players. In this research, a data mining technique is used to predict the goal contribution of midfielders from English football clubs, which assists the club in making player selection. With the help of five football seasons (English Clubs: 2011-12 to 2015-16) data, an attempt has been made to identify the potential of midfielders by using a classification model based on characteristics like weather, ground, competition level, timing of matches, opposition strength, substitution status, player form, and position of players. In data mining, various techniques were tested, such as BayesNet, Naive Bayes, Naive Bayes Multinomial, Logistic Regression (multinomial), Multilayer Perceptron, Random Forest, J48, and SMO. Out of these, tool SMO, which solves the quadratic programming problem related to Support Vector Machines (SVMs), gave the best result. The performances were mainly assessed with a confusion matrix that offered information about the prediction of performance by midfielders and the events that included them. In the case of this experiment, SMO was seen to be better off than other algorithms and therefore most suitable as a classifier. Thus, this work focuses on presenting the benefits of data mining approaches, with consideration given to Sequential minimal optimization (SMO) in identifying player performance and advancing the area of sports analytics studies.
Stock Market Participation Awareness among University Students in Nepal
Authors: Lama Anil Kumar , Karki Gyanendra , Neupane Sangam
Published: October 2024

Financial Literacy amongst students is very important aspects. Therefore, as part of Financial Literacy, a study was conducted amongst 120 students of various colleges and fields to explore the awareness level of stock market investments in the Kathmandu valley. With a growing number of young investors entering the financial market, this research seeks to understand the factors that influence students' engagement with the stock market, particularly in a developing economy like Nepal. The study employs both qualitative and quantitative methodologies, including surveys distributed to students across various colleges in Nepal. Findings reveal that while there is moderate awareness about the stock market among students, actual participation remains limited. The main barriers include a lack of financial literacy, limited disposable income, and perceived risks associated with stock investments. Furthermore, cultural attitudes towards saving and investing also play a significant role in shaping students' engagement with the stock market. The research underscores the importance of integrating financial education from the school level itself to equip students with the knowledge and confidence to participate in the stock market. This study contributes to the existing literature on financial literacy and investment behaviors, offering insights into the unique challenges faced by students in developing countries like Nepal. It emphasizes the need for targeted interventions to enhance financial literacy and foster a more inclusive financial ecosystem.
The Role of Digital Media and Peer Influence on Adolescent Smoking Behavior: A Critical Analysis of Intervention Strategies
Authors: Chaudhary Neha , Jatal Manika
Published: October 2024

This study is an attempt to explore perceptions and attitudes toward smoking amongst adolescents, where the main objective of the research is to explore the factors that help in understanding how their views and behavior are shaped. This study garnered data through questionnaires given to adolescents between the ages of 10-20, representing varied walks of life. The results bring out intricate interplays of social, psychological, and environmental factors that shape adolescent perceptions. Peer pressure, media representation, and familial attitudes emerge as potent determinant factors. The research therefore stresses the implementation of focused educational programs and policies aimed at dispelling myths in order to reduce smoking initiation rates during this period. Recommendations for further research and intervention are discussed here, which would form the foundation of comprehensive anti-smoking strategies relevant for this most vulnerable age group.
Socially Responsible Business Practices: A Case Study of Kanchanjangha Tea Estate & Research Center, Nepal
Authors: Chapagain Bal Ram
Published: October 2024

Considering the ongoing debate regarding the roles of business in society, this case study highlights the exemplary socially responsible business practices of Kanchanjangha Tea Estate & Research Center (KTERC), Nepal. The data regarding the responsible business practices of KTERC were collected from primary as well as secondary sources. The qualitative content analysis of data obtained from KTERC's website, reports, deliberations in a business resiliency symposium, and three in-depth interviews with the company's executives revealed that KTERC’s approach to CSR goes far beyond shareholder and philanthropic approaches and it provides a good business case for CSR. The analysis of data showed that KTERC is embracing the stakeholder approach of CSR with special emphasis on creating shared value approach in order to create a win-win situation between business and society. In light of the study findings, corporate managers can learn CSR best practices and design their CSR policies and initiatives to gain social legitimacy as well as reap various strategic benefits. The government and policymakers can also recognize and reward certain CSR practices that are congruent with the government's social goals. This is perhaps the first study of its kind in the Nepalese context.
Impact of Motivational Factors on Employee Performance on Banking Industry in Nepal
Authors: Bhatta Nirmala , Acharya Chet Narayan
Published: October 2024

This research investigates the impact of motivational factors on employee performance within the Nepalese banking industry, a sector critical for the nation's financial stability and economic growth. Recent growth in Nepal's banking sector, driven by factors such as increased financial inclusion and technological advancements, underscores the need for a highly motivated and productive workforce. Employee performance, defined as the measurable contribution of an individual to organizational goals, is crucial for maintaining a competitive edge. This study explores the relationship between motivation and performance, drawing on need-based theories, goal-setting theory, and social cognitive theory, while considering Nepal's unique socio-cultural context. This study investigates the impact of intrinsic and extrinsic motivational factors on employee performance within the banking sector in Nepal. Data were collected from 350 respondents across various banks through online surveys, with a pilot test conducted to ensure clarity and reliability. The survey assessed both types of motivational factors and their influence on employee performance. Demographic analysis provided key insights into the participant pool, enhancing the understanding of the sample's characteristics. The findings underscore the importance of both intrinsic factors, such as job satisfaction and professional development, and extrinsic factors, including competitive salaries and job security, as key motivators for employee performance. Additionally, the study highlights the influence of cultural values, such as collectivism and respect for hierarchy, in shaping employee motivation in Nepal. By employing a descriptive research design and rigorous methodological steps, including statistical analysis using SPSS, this study provides a comprehensive understanding of the motivational landscape in Nepal's banking sector. The insights gained can guide banks in developing effective strategies to enhance employee motivation and performance, contributing to the overall success and growth of the industry.
Unveiling Disparities: A Case of Digital Divide in Nepal
Authors: Chand Mahendra Bahadur , K.C. Subin , Maharjan Milan
Published: October 2024

This research investigates the digital divide in Nepal, a country witnessing rapid growth in digital adoption. Despite impressive internet penetration rates, disparities persist, rooted in socio-economic factors such as income inequality, gender imbalances, educational disparities, and rural-urban distinctions. Drawing on international literature and employing logistic regression analysis on data from the 2022 National Demographic and Health Survey, the study reveals a significant correlation between socio-economic status (SES) and internet access. Results indicate that individuals with higher SES have a 3.92 times greater likelihood of internet access. Additionally, gender disparities emerge, with females exhibiting higher access probabilities. Urban residents and those with higher education levels also show an increased likelihood of internet access. The findings highlight the persistent digital divide in Nepal and emphasize the need for targeted interventions to promote digital inclusivity. This research contributes to international discussions on digital disparities, offering insights into the multifaceted nature of the digital divide and urging for equitable digital opportunities.
Determinants of Electronic Customer Relationship Management (E-CRM) Systems in the Nepalese Insurance Sector
Authors: Adhikari Pitri Raj
Published: October 2024

E-commerce has revolutionized the global shopping landscape, especially among younger generations, by providing unprecedented convenience and accessibility. This shift has transformed traditional retail, enabling consumers to easily find, compare, and purchase products online. The internet has created a centralized platform that brings together competitors and consumers, opening new avenues for product and service promotion. Customer relationships are crucial in customer focused marketing, with Customer Relationship Management (CRM) leveraging customer data to enhance promotions. The evolution from e-CRM to CRM highlights the growing emphasis on customer relationships to establish competitive power. This study investigates the impact of trust, privacy, reliability, responsiveness, and customer satisfaction on the success of electronic customer relationship management (E-CRM) systems in the Nepalese insurance sector. Based on primary data from 393 respondents in the Nepalese insurance sector, the study employs descriptive statistics, correlations, and regression analysis. Data are collected using Google Forms The results show that privacy, reliability, responsiveness, trust, and customer satisfaction are positively correlated with the success of E-CRM systems. Higher levels of these factors lead to greater success in E-CRM systems within the Nepalese insurance sector.
Hubungan antara Dukungan Sosial Dengan Kelelahan Kerja Pada Karyawan Bagian Produksi PT. Tirta Sibayakindo
Authors: Sembiring Epridonta , Syafrizaldi Syafrizaldi
Published: October 2024

This study aims to determine the correlation between social support and job burnout on employees of the production division of PT. Tirta Sibayakindo. This study uses quantitative research methods that are correlational. The sample used in this study were employees of PT. Tirta Sibayakindo as many as 35 people. The technique used by the researcher is purposive sampling. Work Fatigue scale which is based on the characteristics of work fatigue according to Budiono, et al, 2003, namely: Feelings of sluggishness, sleepiness and dizziness, Inability to concentrate, Decreased level of alertness, Poor and slow perception, Decreased passion for work, Decreased physical and spiritual performance. The social support scale in this study was taken based on the aspects of social support according to Canava and Dolan (in Tarmidi and Rambe, 2010): Emotional Support, Appreciation Support, Instrumental Support, Information Support, and Social Network Support. Based on the calculation of product moment correlation analysis, it can be seen that there is a negative relationship between social support and work fatigue. This result is evidenced by the correlation coefficient rxy = -0.355, with significant p = 0.018 0.05. The determinant coefficient (r2 r2 = 0.126. This shows that social support affects work fatigue by 12.60% on work fatigue. Based on the results of the empirical and hypothetical average values, it can be concluded that the received social support tends to be low and the work fatigue received tends to be high.
Zaštita i sigurnost medicinskih sestara/tehničara u Republici Hrvatskoj prilikom ubodnog incidenta
Authors: Batinović Vesna , Brezak Paula , Majer Marjeta
Published: October 2024

Ubodnim incidentom smatra se ozljeda kože uzrokovana iglom ili oštrim predmetom. Prema procjeni Svjetske zdravstvene organizacije godišnje mu je u svijetu profesionalno izloženo preko dva milijuna zdravstvenih radnika. Prema procjeni Američkog centra za kontrolu i prevenciju bolesti primjenom standardnih mjera zaštite moguće je prevenirati 86 % ubodnih incidenata. Kako bi se smanjio rizik od infekcije nastale prilikom ubodnog incidenta, u svakodnevnom radu treba se držati općih mjera zaštite te nakon incidentne situacije provoditi specifične mjere. U našoj zemlji prema Pravilniku o načinu provođenja mjera zaštite radi sprečavanja i nastanka ozljede oštrim predmetima, svaka medicinska sestra/tehničar mora biti upoznata s mogućnošću nastanka ubodnog incidenta za vrijeme rukovanja oštrim predmetima u radu. Nastane li ubodni incident, poslodavac je obavezan odmah poduzeti mjere u skladu s posebnim propisima o uvjetima i načinu provođenja preventivnih i kontrolnih mjera za sprečavanje bolničkih infekcija te osigurati pružanje zdravstvene skrbi ozlijeđenim radnicima. Koraci koje je potrebno poduzeti kod postekspozicijske profilakse sastoje se od: postupka s mjestom ekspozicije (ispiranje kontaminiranog dijela vodom i sapunom), prijave profesionalne ekspozicije, evaluacije ekspozicije, evaluacije izvornog bolesnika te postekspozicijski postupci koji se hitno započinju u slučaju zaraze HIV-om ili HBV-om. Iako su djelatnici dužni prijaviti svaki ubodni incident bolničkom povjerenstvu ustanove u kojoj rade, procjenjuje se da godišnje u Hrvatskoj ostane neprijavljeno 32.000 incidenata. Broj prijavljenih slučajeva godišnje ne pokazuje trend smanjenja, stoga je potrebno dosljedno primjenjivati dostupne mjere zaštite koje su trenutno dostupne te kontinuirano podizati svijest među zdravstvenim djelatnicima o riziku u radu s oštrim predmetima.
Posebnosti rada medicinskih sestara/tehničara tijekom izvanrednih situacija
Authors: Radman Barbara , Nola Iskra Alexandra
Published: October 2024

Izvanredna situacija definira se kao događaj izazvan prirodnom katastrofom ili situacijom prouzrokovanom ljudskim djelovanjem. Posljedice tog događaja mogu dovesti do ugroze stanovništva i ljudskih žrtava, oštećenja imovine te nastanka nestabilne gospodarske situacije. Izvanredne situacije velikih razmjera često uzrokuju preopterećenja zdravstvenog sustava zbog nedostupnosti materijalnih i ljudskih resursa za zbrinjavanje velikog broja žrtava. Najčešće je riječ o manjku osoblja, vozila za transport, zdravstvene opreme i lijekova. Medicinske sestre i tehničari čine najveći dio zdravstvenog kadra, koji u trenutcima izvanrednih situacija mogu pružiti stručnu pomoć velikom broju unesrećenih. Svi segmenti zdravstva i gotovo svo zdravstveno osoblje mogu biti uključeni, na određenoj razini, u zdravstveni odgovor na izvanrednu situaciju i oporavak od iste. U bolničkom sustavu rad medicinskih sestra organiziran je po načelu pružanja danonoćne skrbi, međutim svaka izvanredna situacija zahtijeva određene prilagodbe rada medicinskih sestara i tehničara. Medicinske sestre moraju poznavati planove i protokole za izvanredne situacije matičnih ustanova, biti pripravne i spremne sudjelovati u slučaju mobilizacije osoblja, prioritizirati pacijente u slučaju evakuacije i/ili transporta te voditi brigu o osobnoj sigurnosti i sigurnosti na radnom mjestu primjenom sigurnosnih mjera, osobne zaštite te implementiranjem pravila zaštite na radu. Također, zadužene su i za sigurnost i zaštitu pacijenata. Poplave, potresi i epidemije (specifično COVID-19 pandemija) karakteristične su katastrofe na području Republike Hrvatske te predstavljaju neposredni rizik za život i zdravlje stanovništva uz mogući dugoročni utjecaj na okoliš. Ovaj rad prikazuje posebnosti rada medicinskih sestara/tehničara na primjeru navedenih katastrofa.
ANALISIS M BANKING PADA BANK BCA MENGGUNAKAN METODE TECHNOLOGY ACCEPTANCE MODEL (TAM)
Authors: Saputra Rizky Rangga , Utomo Agus Prasetyo
Published: October 2024

Penelitian ini bertujuan untuk mengevaluasi faktor-faktor yang memengaruhi penduduk Kota Semarang, khususnya mahasiswa di Universitas Stikubank Semarang. Penelitian ini menggunakan Technology Acceptance Model (TAM) yang dikembangkan oleh Davis (1989), yang melibatkan variabel Perceived Usefulness dan Perceived Ease of Use. Selain itu, ada tiga variabel tambahan yang ditambahkan, yaitu Privasi, Technical support, dan Attitude to Use. Analisis data dilakukan menggunakan Smart PLS versi 3. Hasil penelitian menunjukkan bahwa Perceived Usefulness, Technical support, dan Privasi memiliki pengaruh positif terhadap Attitude to Use. Namun, ditemukan bahwa Perceived Ease of Use tidak memiliki pengaruh terhadap Attitude to Use.
Analisa Sentimen Menggunakan Algoritma C4.5 Dan Naïve Bayes Dengan Topik Artificial Intelligence Pada Media Sosial Twitter (X)
Authors: Prasetyo Aji Dwi , Yel Mesra Betty
Published: October 2024

Artificial intelligence (AI) atau yang biasa disebut dengan kecerdasan buatan manusia merupakan hal yang cukup ramai diperbincangkan dalam masyarakat saat ini dengan dampak yang positif yang signifikan dapat membantu meringankan pekerjaaan manusia. Namun disisi lain artificial intelligence juga memberikan dampak yang negatif yaitu dapat dapat mengambil alih pekerjaan manusia dan berpotensi menimbulkan kekacauan ekosistem informasi akibat dari propaganda yang berisi berita bohong dan disinformasi. Tujuan dari penelitian ini untuk mengetahui persepsi masyarakat terhadap dampak perkembangan artificial intelligence apakah positif atau negatif serta mencari nilai akurasi dari kinerja metode yang digunakan. Hasil dari penelitian ini dapat dijadikan referensi bagi pemerintah untuk mendukung pengambilan keputusan mengenai langkah yang dapat diambil dalam menghadapi dampak perkembangan artificial intelligence berdasarkan sudut pandang pada masyarakat luas. Algoritma yang digunakan adalah C4.5 dan Naïve bayes. Dari kedua metode ini digunakan sebagai hasil akhir akurasi dari penelitian ini dan menjadikan perbandingan nya antara satu sama lain.
Pengenalan Wajah Pada Video Dengan Metode Active Appearance Model (AAM)
Authors: Asyrofie Maulana Azhar , Mulyana Dadang Iskandar
Published: October 2024

Penelitian ini berfokus pada pengenalan wajah dalam video menggunakan metode Active Appearance Model (AAM), sebuah teknik yang mengintegrasikan informasi bentuk dan tekstur wajah untuk melakukan deteksi serta fitting wajah dengan presisi tinggi. Penelitian ini bertujuan untuk mengembangkan dan mengevaluasi kinerja model AAM yang dilatih menggunakan dataset Labeled Faces in the Wild (LFPW) dan menerapkannya pada aplikasi real-time. Uji coba dilakukan dalam berbagai kondisi pencahayaan, variasi ekspresi wajah, dan sudut pandang yang berbeda untuk menilai ketahanan (robustness) dari model yang dikembangkan. Hasil pengujian menunjukkan bahwa AAM mampu mengenali wajah dengan tingkat akurasi yang signifikan, bahkan pada kondisi video real-time yang menantang. Namun, ditemukan penurunan performa ketika model dihadapkan dengan kondisi pencahayaan yang sangat rendah atau sangat terang serta variasi ekspresi wajah yang sangat signifikan. Meski demikian, hasil penelitian secara keseluruhan menunjukkan bahwa model AAM yang dilatih pada dataset LFPW memberikan tingkat kesalahan fitting rata-rata sebesar 0,12 pada landmark wajah tertentu, terutama di area mata dan mulut. Temuan ini mengindikasikan bahwa AAM memiliki potensi besar untuk diterapkan dalam sistem pengenalan wajah berbasis video, namun memerlukan pengembangan lebih lanjut untuk menghadapi situasi yang lebih kompleks.
Analisis Sentimen Terhadap Resesi Ekonomi Global Di Indonesia Menggunakan Hybrid Linear Regression – Naive Bayes
Authors: Herisnan Diva Nabila , Elwinda Masyitah , Rashid Rashid , Rahmaddeni Rahmaddeni
Published: October 2024

Penelitian ini bertujuan untuk menganalisis sentimen masyarakat Indonesia terhadap resesi ekonomi global menggunakan pendekatan hybrid yang menggabungkan algoritma Linear Regression dan Naive Bayes. Data yang digunakan diambil dari dataset Kaggle yang berisi 2.138 tweet terkait resesi ekonomi. Tahapan penelitian meliputi identifikasi masalah, pengumpulan dataset, preprocessing, pembobotan kata menggunakan TF-IDF, klasifikasi data, distribusi sentimen, dan evaluasi model. Hasil analisis menunjukkan bahwa sentimen publik terhadap resesi ekonomi global di Indonesia didominasi oleh reaksi netral. Metode hybrid Linear Regression dan Naïve Bayes dengan pembobotan kata TF-IDF pada splitting data 60:40 memberikan hasil akurasi tertinggi sebesar 97,66%.Secara keseluruhan, akurasi tertinggi dengan menggunakan Linear Regression yaitu sebesar 98,01%. Penelitian ini memberikan wawasan yang lebih mendalam tentang persepsi masyarakat terhadap resesi ekonomi, yang dapat membantu pembuat kebijakan dan industri dalam merancang strategi yang lebih efektif untuk menghadapi dampak dari krisis ekonomi global.
Deteksi Microsleep Menggunakan Convolutional Neural Network Dengan Sensor ESP32 Pada Pengemudi
Authors: Akbar Yuma , Bintoro Bayu , Mulyana Dadang Iskandar , Lestari Sri
Published: October 2024

Microsleep merupakan kondisi berbahaya yang terjadi ketika seseorang tertidur dalam waktu sangat singkat tanpa disadari, terutama saat mengemudi. Skripsi ini bertujuan mengembangkan sistem deteksi Microsleep berbasis Convolutional Neural Network (CNN) dengan sensor ESP32 pada pengemudi. Sistem ini dirancang untuk memantau dan menganalisis pola aktivitas pengemudi secara langsung yang dikumpulkan oleh sensor ESP32. Data yang diperoleh kemudian diproses dan diklasifikasikan menggunakan model CNN untuk mendeteksi kejadian Microsleep. Implementasi sistem ini diharapkan dapat meningkatkan keselamatan berkendara, sehingga dapat mengurangi risiko kecelakaan lalu lintas. Penelitian lebih lanjut diperlukan untuk meningkatkan akurasi deteksi dan menguji sistem pada kondisi nyata di jalan raya. hasil pengolahan data dan hasil pembahasan pada penelitian ini, dapat ditunjukkan bahwa arsitektur convolutional neural network (CNN) dengan algoritma you only look once (YOLO) dapat diimplementasikan untuk melakukan deteksi pada pengemudi apakah terjaga atau tertidur. Selain itu dengan melakukan konfigurasi parameter model dengan batch size 16, network size 320x320, diperoleh nilai IoU dengan learning rate 0.01.
Implementasi Sistem Monitoring Keamanan Toko Berbasis Wifi Menggunakan Ip Camera
Authors: Purba Johans Luther , Tharo Zuraidah , Lesmana Dicky
Published: October 2024

Keamanan toko merupakan aspek penting yang memerlukan perhatian khusus untuk mencegah tindakan kriminal seperti pencurian dan vandalisme. Penelitian ini bertujuan untuk mengimplementasikan sistem monitoring keamanan toko berbasis WiFi menggunakan IP Camera sebagai solusi efisien dan efektif dalam memantau kondisi toko secara real-time. Sistem ini dirancang untuk mengirimkan gambar dan video dari kamera pengawas yang terhubung melalui jaringan WiFi ke perangkat pengguna, sehingga pemilik toko dapat memantau situasi secara langsung dari jarak jauh. Pengujian sistem dilakukan pada berbagai skenario untuk mengevaluasi kinerja transmisi data, kualitas gambar, serta kehandalan koneksi WiFi dalam lingkungan toko. Hasil penelitian menunjukkan bahwa sistem ini mampu memberikan pemantauan yang optimal dengan kualitas video yang memadai, serta memberikan peringatan dini melalui notifikasi saat terdeteksi aktivitas mencurigakan. Implementasi sistem ini diharapkan dapat meningkatkan keamanan toko secara signifikan dan meminimalisir potensi kerugian akibat tindakan kriminal.
العلامة موسى بن علي العالم الرباني ورجل الدولة الفاعل
Authors: الكندي أحمد بن يحيى , أبوحماد زياد عواد , الحراصي سعيد بن سلطان
Published: October 2024

الأهداف: تهدف هذه الدراسة إلى بيان الجوانب الشخصية للعلامة بن موسى بن علي التي أهلته ليكون عالمًا ربانيًا، ورجل الدولة الفاعل. المنهجية: سلك الباحث المنهج التاريخي بتتبع المراحل المختلفة من حياة العلامة موسى بن علي، والاستقرائي لجمع المادة العلمية المتعلقة بجوانب شخصيته الدينية والعلمية، والتحليلي والاستنباطي: لتحليل المواقف والجوانب المهمة في حياة هذا العالم لاستخراج واستنباط الصفات والملامح المؤثرة في الجوانب المختلفة في الدولة والمجتمع. الخلاصة: خلصت الدراسة إلى أنَّه يعتبر موسى بن علي مرجع زمانه في الفتوى، وتميز بعقلية استنباطية فريدة، ظهرت من خلال كثير من المسائل التي اجتهد وتفرد فيها، وكان له دور سياسي بارز وفاعل في المراحل التاريخية المختلفة فقد شارك في جماعة أهل الحل والعقد فترة، ثم تصدر أهل الحل والعقد ورئاستهم، بل كان له دور مباشر في ادارة الدولة وتحمل أعباء منصب الإمام، كما كلف بمنصب القضاء وثم رئاسة القضاة، وخلال ذلك اتصف بالحذر والورع وعمق الفهم والدراية ودقة استنباط المخرج للمسألة القضائية المعروضة، كشفت الأدوار المختلفة التي اضطلع بها العلامة موسى ين علي عن نضج وعمق إدراك في فقه السياسة الشرعية والفقه السياسي عنده.
Desarrollo del pensamiento crítico en estudiantes de Trabajo Social a través del Teatro del Oprimido: evaluación de una actividad educativa sobre gestión de la diversidad cultural
Authors: Ferrer-Aracil Javier , Giménez-Bertomeu Víctor M. , Cortés-Florín Elena M. , Aragonés-González María
Published: October 2024

Introducción: Este estudio evalúa la aplicación del Teatro del Oprimido en la enseñanza-aprendizaje del Trabajo Social. Se analiza la percepción del alumnado sobre los contenidos, metodología y organización de la actividad, así como sobre la adquisición de competencias de pensamiento crítico a través de ella. Metodología: Participaron 114 estudiantes del Grado en Trabajo Social de la Universidad de Alicante (España). Se empleó el método cuantitativo de tipo descriptivo y explicativo. Se utilizó el cuestionario como instrumento de recogida de datos. Se realizaron análisis tanto univariados como bivariados. Resultados: Se observa una percepción positiva del alumnado acerca de la experiencia, valorando tanto el método empleado como el impacto de la actividad en la adquisición de competencias. Discusión: Se analizan e interpretan los principales resultados de la investigación, vinculándolos con el cuerpo de conocimiento preexistente. Conclusiones: Se concluye que el Teatro del Oprimido es un método eficaz para el desarrollo del pensamiento crítico.
Evaluación de lesiones constructivas en viviendas patrimoniales: Caso de estudio de la ciudad de Chuquiribamba (Ecuador)
Authors: Galarza Viera José Luis , Galarza Viera José Luis , Monteros Cueva Karina , Soto Toledo Katherine Haydeé , Cuenca Soto Franklin Guillermo
Published: October 2024

Introducción: La ciudad de Chuquiribamba, patrimonio cultural y arquitectónico de Ecuador, enfrenta el deterioro de sus edificaciones de tierra debido a factores climáticos. Este estudio se propuso investigar las causas y efectos de dicho deterioro. Metodología: Se realizó una exploración in situ con el apoyo de estudiantes de Arquitectura, quienes recolectaron 192 fichas digitales sobre lesiones en muros de fachada. También se realizaron entrevistas a los habitantes para identificar las causas del deterioro y se analizaron los factores climáticos que inciden en la construcción con tierra en el contexto andino. Resultados: El análisis reveló que factores climáticos como la lluvia y el viento contribuyen al deterioro, con una frecuencia del 32,45% en las lesiones, siendo las más comunes las suciedades depositadas, organismos vivos y grietas por carga. Discusión: Los hallazgos confirman la influencia de los factores climáticos en el deterioro de las edificaciones de tierra. Las entrevistas con los habitantes complementaron el análisis, proporcionando información clave sobre las causas directas e indirectas. Conclusiones: A futuro, se sugiere investigar el proceso de alteración físico-química de los muros de tierra debido a la erosión y explorar nuevas técnicas de reparación.
Una gamificación para la mejora de la motivación en el aprendizaje de los estudiantes universitarios: el uso didáctico del modelo RAMP
Authors: García López Esteban
Published: October 2024

Introducción: La gamificación educativa en educación superior tiene el potencial de propiciar cambios significativos en la forma en la que el alumnado se comunica, aprende y trabaja en equipo en postpandemia. Metodología: Una perspectiva novedosa sobre el uso didáctico del juego en la universidad es el resultado de la revisión documental del estado del arte que analiza la relación entre la gamificación educativa y la motivación del aprendizaje a través del modelo RAMP. Resultados: El modelo RAMP contiene cuatro factores que se consideran vitales para el aprendizaje a través del juego como lo son: las relaciones que el individuo debe forjar en su proceso formativo y personal, así como la autonomía en la enseñanza-aprendizaje, la maestría para un dominio temático a nivel de experto y el propósito para el logro de objetivo. Discusión: El modelo RAMP tiene el potencial de generar la cohesión grupal al combinar la motivación de logro de los estudiantes con un entorno más interactivo que fomente directamente las actitudes proactivas. Conclusión: Con ello, se genera una solución a la problemática de construcción de grupos que en el contexto de esta investigación no se ha logrado resolver ni desde el trabajo cooperativo ni desde la colaboración.
Екологогеографічні аспекти оцінки перспективності інтродукції Picea Glauca (Moench) Voss. у дендрологічний парк «Тростянець» НАН України
Authors: Тарабун М. О.
Published: October 2024

Збагачення біорізноманіття, вивчення біологічних та екологічних властивостей рослин в нових кліматичних умовах, пошук шляхів найбільш ефективного їх використання є важливим завданням біологічної науки та інтродукції як її складової. Метою дослідження є проведення порівняльного аналізу еколого-географічних умов в межах ареалів представників роду Picea Diert. і пункту інтродукції для виявлення кліматичної аналогії з дендропарком «Тростянець» та її зв’язку з результатами інтродукційного випробування й оцінити адаптивну здатність досліджуваних видів. Обґрунтовано вибір об’єктів досліджень, попередній досвід інтродукції дав неоднозначні результати. Як показали дослідження, досить широкий діапазон еколого-географічних умов, в яких зростає P. glauca в природі, зумовлює його достатню адаптивну здатність, яка виявляється в умовах культури на значній території поза межами природного місцезростання. При цьому, доведену перспективність інтродукції P. glauca та використання в інші регіони України.
Image restoration of reflectors by the method of digital aperture focusing in thick-walled pipes of small diameter
Authors: Bazulin E. G.
Published: October 2024

In ultrasonic inspection of pipes of various diameters using antenna arrays and arrays, two technologies of reflector image reconstruction are widely used: antenna array focusing technology (PAUT) and digital aperture focusing (DAF) technology. If the tube diameter is larger than a hundred wavelengths, the DAF method can be used to reconstruct the reflector image by taking into account several reflections from the boundaries, assuming that the object of inspection is flat. In this case, the errors in the formation of DAF-image of reflectors will be insignificant. However, if the pipe diameter is several tens of wavelengths and the wall thickness is about half of the pipe diameter, then in this case the geometry of the inspection object must be taken into account to obtain a high-quality DAF-image of the reflectors. The paper considers the peculiarities of image formation at registration of echo signals by an antenna array or matrix, when scanning both on the external and internal surfaces of the object of control. In numerical and modeling experiments it is shown that both antenna array and antenna array can be used to obtain high-quality DAF-image of reflectors when scanning along the outer surface of a thick-walled pipe of small diameter. This is due to the presence of the effect of physical focusing of the ultrasonic field. But when scanning along the inner surface of a thick-walled tube of small diameter, because of the defocusing effect, it is necessary to register echoes with an antenna array to restore the image of reflectors.
Thermal testing of corundum ceramics: pulse heating and optimized data processing algorithms
Authors: Chernykh S. E. , Vavilov V. P. , Kostin V. N. , Komolikov Yu. I. , Kladov D. Y.
Published: October 2024

A review of the types of defects in the production of corundum ceramic tiles and traditional methods of integrity testing of products made of this material is carried out. The integrity of tiles containing artificial defects was investigated by the method of active thermal testing using pulsed optical heating. A scheme of two-way thermal testing with software processing of the initial thermograms using the Parker method is applied. It has been established that the best results in detecting internal defects in ceramic tiles with a thickness of 10 mm during thermal stimulation using xenon lamps are obtained by the method of two-way thermal testing with the construction of thermal conductivity maps.
Monitoring of relative magnetic permeability variation during cyclic bending testing of austenitic steel grade 10Kh18n10t samples
Authors: Kochnev A. V. , Rigmant M. B. , Korkh M. K. , Gordeev N. V. , Matosyan A. M.
Published: October 2024

Cyclic bending testing of austenitic chromium-nickel steel grade 10Kh18N10T samples was carried out. Evalution of relative magnetic permeability showed its noticeable increase when the samples became fractured. This increase is related to deformation martensite appearance. Additional experiment showed, that deformation martensite formation starts before the actual destruction of the sample.