bluuebunny/crossref_metadata_2025 huggingface dataset:
Studi Komparatif Pelaksanaan Hak Restitusi Bagi Korban Perdagangan Orang di Indonesia
Authors: Bui Ursula Andriani , Efendi Saparudin , Mandala Opan Satria
Published: December 2024

Penelitian ini bertujuan untuk menganalisis penerapan hukum pemenuhan hak restitusi Terhadap korban Perdagangan Orang di Indonesia. Penelitian ini menggunakan metode hukum normatif, dengan menggunakan pendekatan Perundang-Undangan (statue approach) dan pendekatan kasus (case approach), Pendekatan Konsep, dan pendekatan perbandingan. Hasil penelitian ini adalah (1) pemenuhan hak restitusi bagi korban perdagangan Orang diatur dalam Undang-Undang Nomor 21 Tahun 2007 tentang pemberantasan perdagangan Orang, Kitab Undang-Undang Hukum Acara Pidana (KUHAP) dalam Ganti Kerugian akibat tindak pidana, UU No.31 tahun 2014 perubahan atas Undangundang No. 13 tahun 2006 tentang perlindungan saksi dan korban, Peraturan Mahkamah Agung Nomor 1 Tahun 2022 Tentang Tata Cara Penyelesaian Permohonan Pemberian Restitusi Dan Kompensasi Kepada Korban Tindak Pidana, Pemberian Restitusi berdasarkan Peraturan Pemerintah Nomor 43 Tahun 2017 tentang Pelaksanaan Restitusi Bagi Anak Yang Menjadi Korban Tindak Pidana (2) pemenuhan hak restitusi korban perdagangan orang belum efektif karena Peradilan pidana belum memberikan kepastian atas pemenuhan restitusi, serta tidak adanya ikonsitensi dalam putusan pengdilan terkait Hak restitusi korban TPPO di Indonesia.
Reducing Transmission Signal Collisions on Optimized Link State Routing Protocol Using Dynamic Power Transmission
Authors: Mahabbati Lathifatul , Jatmika Andy Hidayat , Huwae Raphael Bianco
Published: December 2024

Many devices connected to a network inevitably result in clashes between communication signals. These collisions are an important factor that causes a decrease in network performance, especially affecting Quality of Service (QoS) like throughput, Packet Delivery Ratio (PDR), and end-to-end de- lay, which has a direct impact on the success of data transmission by potentially causing data loss or damage. The aim of this research is to integrate the Dynamic Power Transmission (DPT) algorithm into the Optimized Link State Routing (OLSR) routing protocol to regulate the communication sig- nal strength range. The DPT algorithm dynamically adapts the signal coverage distance based on the density of neighboring nodes to reduce signal collisions. In our protocol, the basic mechanism of a DPT algorithm includes four steps. The Hello message structure of OLSR has been modified to incorporate the ”x-y position” coordinate field data. Nodes calculate distances to neighbors using these coordinates, which is crucial for route discovery, where all nearby nodes can process route re-quests. The results of this research are that DPT-OLSR improves network efficiency in busy areas. In particular, the DPT-OLSR routing protocol achieves an average throughput enhancement of 0.93%, a 94.79% rise in PDR, and reduces end-to-end delay by 45.69% across various variations in node density. The implication of this research result is that the algorithm proposed automatically adapts the transmission power of individual nodes to control the number of neighboring nodes within a de-fined range. This effectively avoids unwanted interference, unnecessary overhearing, and excessive processing by other nodes, ultimately boosting the network’s overall throughput.
Cluster Validity for Optimizing Classification Model: Davies Bouldin Index – Random Forest Algorithm
Authors: Prihandoko Prihandoko , Jollyta Deny , Gusrianty Gusrianty , Siddik Muhammad , Johan Johan
Published: December 2024

Several factors impact pregnant women’s health and mortality rates. The symptoms of disease in pregnant women are often similar. This makes it difficult to evaluate which factors contribute to a low, medium, or high risk of mortality among pregnant women. The purpose of this research is to generate classification rules for maternal health risk using optimal clusters. The optimal cluster is obtained from the process carried out by the validity cluster. The methods used are K-Means clustering, Davies Bouldin Index (DBI), and the Random Forest algorithm. These methods build optimum clusters from a set of k-tests to produce the best classification. Optimal clusters comprising cluster members withstrong similarities are high-dimensional data. Therefore, the Principal Component Analysis (PCA) technique is required to evaluate attribute value. The result of the research is that the best classification rule was obtained from k-tests = 22 on the 20th cluster, which has an accuracy of 97% to low, mid, and high risk. The novelty lies in using DBI for data that the Random Forest will classify. According to the research findings, the classification rules created through optimal clusters are 9.7% better than without the clustering process. This demonstrates that optimizing the data group has implications for enhancing the classification algorithm’s performance.
The Weibull Regression Model Analysis of Mahakam River Water Pollution Potential
Authors: Pradipa Zalva , Suyitno Suyitno , Siringoringo Meiliyani
Published: December 2024

Mahakam River has a vital role in the lives of the people of the East Kalimantan province, includingproviding a raw source of clean water. The multi-activity of the Mahakam River watershed, as a watertraffic lane, mining, fisheries, hotels, restaurants, and resident houses, has the potential to produce wasteinto the water. Increasing waste in the water flow can increase the pollution potential of river water,threatening people’s health. Therefore, precaution is necessary. In this research, statistical preventionwas proposed, providing information to the East Kalimantan people regarding the factors affecting thepollution potential of the Mahakam River through Weibull regression (WR) modeling on dissolved oxygen (DO) data 2022. Research data was secondary data provided by the Life Environmental Departmentof East Kalimantan province. The WR model is a Weibull distribution that is directly influenced by covariates. WR model consists of Weibull survival regression, cumulative distribution regression, hazardregression, and Weibull mean regression. This research aims to obtain the factors affecting the pollution potential and to provide the pollution potential information of Mahakam River 2022. The researchconcluded that factors influencing the pollution potential of the Mahakam River were watercolor degreeand nitrate concentration. Applying the WR model to DO data 2022 was able to provide the pollutionpotential information of Mahakam River, namely the probability of river water isn’t polluted is 0.6555,or the probability of the polluted river water is 0.3445, the pollution rate is 6 locations are polluted forevery 10 mg/L DO, and the DO average of river water is 5.7450 mg/L. Increasing water color degreeand nitrate concentration will decrease the probability of the Mahakam River being polluted, increasethe probability of the Mahakam River being polluted, increase the pollution rate, and reduce the DO ofMahakam River water.
Stock Price Index Prediction Using Random Forest Algorithm for Optimal Portfolio
Authors: Humairah Putri , Agustina Dina
Published: December 2024

With a majority Muslim population in Indonesia, Islamic capital markets such as the Jakarta IslamicIndex (JII) are a relevant choice because the JII is an investment index that complies with Sharia principles. This research aims to predict stock prices in the JII using the Random Forest (RF) algorithm andform an optimal portfolio with the Mean-Variance Efficient Portfolio (MVEP) model. The data used isthe daily closing price of JII stocks from April 2023 to March 2024, obtained from the Indonesia StockExchange and Yahoo Finance. The RF method is used to predict stock prices, with model performanceevaluation using Mean Absolute Percentage Error (MAPE). The results showed that the application ofML with the RF algorithm in predicting stock prices produced very good predictions because the evaluation results using MAPE were in the 0%-10% range, namely a value of 2.522% for ACES shares;1.222% for ICBP shares, and 0.760% for INDF shares. The optimal portfolio formed using MVEPproduces a stock composition with a weight of 7.64% for ACES, 22.46% for ICBP, and 69.90% forINDF. The optimal portfolio’s estimated expected return and risk are 0.0546% and 0.0103%.
Riqueza y distribución de plantas vasculares endémicas de la provincia de Corrientes, Argentina
Authors: Florentín Javier E. , Vallejos Celeste , Salas Roberto M. , Medina Walter A. , Salariato Diego L.
Published: December 2024

Las especies endémicas son aquellas que se encuentran restringidas a un área geográfica específica, es decir, que son exclusivas de una región o localidad. Para la provincia de Corrientes (Argentina), la riqueza de especies de plantas vasculares endémicas es poco conocida. Por ello, el objetivo de este trabajo fue proporcionar una lista actualizada y llevar un análisis pormenorizado, tanto sistemático como geográfico, de estas especies. Para este fin, se describe su distribución en los departamentos y regiones fitogeográficas de los Dominios Chaqueño y Amazónico. Se recopilaron e identificaron 35 taxones endémicos, que incluyen 31 especies, una subespecie y tres variedades, distribuidos en 24 géneros y 16 familias. Las familias más representadas son Amaryllidaceae (nueve taxones), Apocynaceae (cuatro taxones), Iridaceae y Portulacaceae (tres taxones cada una). Predominan las hierbas, seguidas por subarbustos y enredaderas, encontrándose principalmente en pastizales, orillas de ríos y bañados. La distribución de las especies abarca 19 de los 25 departamentos de Corrientes, siendo Santo Tomé, San Martín e Ituzaingó los más ricos en taxones. En términos fitogeográficos, 31 especies se hallan en el Dominio Chaqueño y 11 en el Dominio Amazónico. Además, se detectó que solo ocho especies han sido registradas en los últimos diez años, mientras que los demás taxones cuentan con registros más antiguos. Este estudio proporciona información crucial para futuras investigaciones relacionadas con la conservación de la biodiversidad endémica de Corrientes.
Contribución a la nomenclatura de Averrhoidium (Sapindaceae - Dodonaeaeae): Tipificación de dos nombres vinculados a las Floras de Bolivia, Brasil y Paraguay
Authors: Ferrucci María S.
Published: December 2024

Se procedió a realizar la lectotipificación de dos especies del pequeño género Averrhoidium (Sapindaceae - Dodonaeaeae), ambas sudamericanas: A. gardnerianum y A. paraguaiense. Se describe la metodología para la elección de los lectotipos.
Perbandingan Total Suspended Solid (TSS) di Muara Sungai Bengawan Solo Gresik Menggunakan Data Citra Satelit
Authors: Sahid Argo Nur , Zainab Siti
Published: December 2024

Muara Sungai Bengawan Solo yang berada di Kecamatan Ujung Pangkah telah banyak mengalami perubahan setiap tahunnya. Hal ini dipengaruhi oleh beberapa faktor, salah satunya adalah proses pengendapan (sedimentasi) dari hasil angkutan material yang terbawa oleh air sungai di sepanjang daerah aliran sungai (DAS). Berdasarkan latar belakang tersebut, diperlukan usaha untuk memantau persebaran Total Suspended Solid (TSS) di muara sungai Bengawan Solo Gresik. Tujuan dari penelitian ini adalah untuk mengetahui persebaran Total Suspended Solid (TSS) selama 5 tahun untuk menemukan formula yang tepat untuk memodelkan dampak perubahan ini, yang dapat diatasi di masa depan. Metode yang dikembangkan berikut adalah teknologi penginderaan jauh dengan data citra satelit Landsat 8 ekstrak nilai angka digital yang diubah menjadi nilai reflektans untuk kemudian mencari algoritma model matematis yang optimal dengan parameter dari Total Suspended Solid (TSS). Dari penelitian yang telah dilakukan, didapatkan hasil sebagai berikut: reflektan band merah  memiliki nilai hubungan terbaik dengan TSS In Situ dengan nilai R square 0,0450 dan model algoritma yang sesuai dalam menduga konsentrasi TSS adalah model Linier dengan persamaan Y = 1311,3x + 447,93.
Kata kunci: Total Suspended Solid (TSS), Landsat 8, Pemetaan Tematik.
The Impact of Pay and Perquipment on Worker Performance at UD Nilam Sari Nganjuk
Authors: Aini Nurul Nur , Rukmini Meme , Yap Nonni
Published: December 2024

This study examines the impact of pay and perquisites on worker performance at UD. Nilam Sari Nganjuk. The research aims to identify the extent to which financial compensation and non-financial benefits influence employees' productivity and job satisfaction. Using a quantitative research design, data were collected through surveys distributed to 50 employees of the company. The findings indicate a significant positive relationship between pay and worker performance, suggesting that competitive salaries motivate employees to perform better. Similarly, the provision of perquisites, such as bonuses, allowances, and welfare benefits, was found to enhance employee satisfaction and overall productivity. The study concludes that optimizing both pay and perquisites can serve as a strategic tool to boost worker performance and organizational effectiveness. Recommendations for the company include periodic salary reviews and the introduction of innovative employee benefits to sustain motivation and improve performance.
Keywords : Worker Performance, Financial Compensation, Non-Financial Benefits, Job Satisfaction, Productivity
Local Open Government: Key Issues in Scotland, United Kingdom
Authors: Afandi Syed Agung , Afandi Muslim , Erdayani Rizki
Published: December 2024

This study aims to analyze key issues of Scotland's open government. Scotland is a member of the Open Government Partnership (OGP) selected for the Local Government Pilot Program. Qualitative approaches and bibliometric analysis methods were used in this study. The data used were obtained from the Google Scholar database through Publish or Perish with four keywords: “Scotland information access”, “Scotland transparency”, “Scotland participation”, and “Scotland collaboration”. Data selection used Mendeley, while the bibliometric map was obtained using VOSviewer. The findings of this study indicate that open government in Scotland has been able to attract public attention. There are 168 relevant articles, 130 topics, and 20 topic clusters. The main focus topics are: participation, collaboration, development, politics, community, young people, gender, justice, transparency, and freedom of information. Meanwhile, the latest and potential topics include: e-participation, inequality, local authority, infrastructure, gender, capacity, culture, inclusion, Islamophobia, power, network, digital collaboration, elite, and public art. Scotland is currently focused on five open government commitments, including: fiscal openness and transparency; health service development, design, and improvement; empowering government through open data; building stakeholder networks on climate change policy; and supporting participation.
Development Strategy of Village Owned Enterprises (BUMDes) in an Effort to Improve Community Welfare at Tropodo Village Sub-District of Krian Sidoarjo Regency
Authors: Farida Fira Luluk , Choriyah Ilmi Usrotin
Published: December 2024

The aim of this research is to analyze the Development Strategy of Village-Owned Enterprises (Bumdes) In Efforts to Improve Community Welfare at Tropodo Village Sub-District of Krian Sidoarjo Regency. The method used in this research is descriptive qualitative. Data collection techniques use primary data obtained through interviews and secondary data obtained through observation, documentation, and journals. The author uses data analysis techniques from Miles (Sugiyono, 2013) namely, data collection, data reduction, data presentation, and drawing conclusions. The results of this research show that th strategy for developing village-owned enterprises (BUMDes) namelu, first, human resources has been successful because changes in management structure have provided better development with the presence of far more business units. Second, for the management fund BUMDes Bumiasih  has strategy that is able to provide a much wider source of funds. Third, regarding technology and information the use of e-mail and ms excel is the preferred technology to use. Fourth, facilities and infrastructure many changes have been made to futher develop BUMDes Bumiasih business units.
Desain Tata Ruang Siniar sebagai Identitas Jenama: Perspektif Desain Komunikasi Visual
Authors: Akbar Faisal , Miswanti Dini , Susanti Khikmah , Putra Rizki Saga , Hidayati Atiek Nur
Published: December 2024

Artikel ini membahas siniar (podcast) tidak hanya berfungsi sebagai media penyampaian konten audio, tetapi juga sebagai identitas jenama yang kuat. Desain tata ruang siniar memainkan peran penting dalam menciptakan atmosfer yang sesuai dengan nilai-nilai dan karakteristik jenama, serta mendukung pengalaman audiens secara keseluruhan. Elemen-elemen desain seperti penataan furnitur, pencahayaan, pemilihan warna, dan elemen visual lainnya dapat digunakan untuk memperkuat citra jenama dan menciptakan konsistensi visual. Hasil perancangan desain ini menunjukkan bahwa desain tata ruang siniar yang dirancang dengan baik tidak hanya meningkatkan kualitas produksi, tetapi juga berkontribusi signifikan terhadap identitas jenama yang lebih kuat dan berkesan.
Developing Teachers’ Disciplinary Knowledge for High School STEM Integration: A Review of a Decade of Educational Research
Authors: Yoon Susan A. , Miller Katherine M. , Richman Thomas , Noushad Noora , Hageman Grace , Liu Yueqiao , Zhang Weiyi , Cottone Amanda M.
Published: December 2024

Increasing calls for greater STEM-integrated experiences in K–12 education have spawned numerous studies on teacher beliefs, educational goals, and practices for teaching and learning. However, how the field proposes to support the development of teachers’ STEM-integrated disciplinary knowledge appears to be underresearched. In this systematic review, we analyzed 110 articles to determine (a) in what ways has the literature focused on teacher learning, (b) to what extent the literature addressed the development of teachers’ STEM-integrated disciplinary knowledge, and (c) to what extent the literature identified mechanisms for developing teachers’ STEM-integrated disciplinary knowledge. Results reveal needs that include, among others, more studies focused on developing teacher disciplinary knowledge; studies that differentiate teacher needs at different grade levels; studies that differentiate mechanisms aimed at developing teachers’ pedagogical knowledge, pedagogical content knowledge, and disciplinary knowledge; and studies that explicitly examine the mechanisms being used to support the development of teachers’ STEM-integrated disciplinary knowledge.
Ranking of risk using the application of the AHP method in the risk assessment process on the Piraeus-Belgrade-Budapest railway corridor
Authors:   Military Academy, University of Defence, Belgrade, Serbia, Komazec Nenad , Janković Katarina ,   General staff of the Serbian armed forces, Development and equipment directorate, Technical testing center, weapons and military equipment testing center, Nikinci, Serbia, Mladenović Milica ,   S4 GLOSEC Global Security, Belgrade, Serbia, Mijatović Maja ,   S4 GLOSEC Global Security, Belgrade, Serbia, Lapčević Zoran ,   Public Utility Company City Sanitation Belgrade, Serbia
Published: December 2024

The paper examines the application of the AHP method in risk assessment for the Piraeus-Belgrade-Budapest railway corridor, which is part of the "Belt and Road Initiative". The AHP method is employed to identify, analyze, and evaluate risks in five key areas: security, operational, economic, environmental, and political risks. The analysis includes the assessment of potential threats to infrastructure security, operational efficiency, economic sustainability, and environmental protection. The results are presented in a tabular format, providing insight into risk prioritization and their relative importance. This study contributes to the understanding of the complex challenges accompanying the implementation of major international infrastructure projects, offering a systematic approach to risk management and supporting decision-making within the comprehensive logistics chain connecting Asia and Europe.
Evaluation of the effect of casting die vibration on the microstructure and mechanical proprties of aluminum alloys : review
Authors: Hassan Jwad , Adnan A. Ugla
Published: December 2024

Aluminium alloy is one of the most widely used engineering materials due to its properties Relatively lower specific weight and corrosion resistance compared to steel. Moreover, they are They are also relatively easier to machine. Aluminium alloy is found to provide the highest quality Degree of machinability compared to other lightweight metals such as titanium and magnesium Alloy. Various techniques have been used to induce motion during the solidification process of molten metal in the casting mold, such as mechanical vibration, ultrasonic vibration, and electromagnetic vibration. This paper presents a brief review of the above vibration processes and their types, uses, and how they affect the mechanical properties of aluminium alloys
Stream flow modeling using SWAT model and performance evaluation in Adhaim watershed
Authors: Jabbar Noorsatar , Ali N. Hilo  , Fouad H.Saaed
Published: December 2024

https://ejuow.uowasit.edu.iq
Understanding the hydrological cycle and finding data crucial for water management require a foundational understanding of basin-scale simulation. To create the most accurate stream flow modeling possible, data from the weather stations was combined with input from other maps of the research area, such as soil, land cover, land use (LCLU), and digital elevation model (DEM).  Regarding Adhaim Watershed, period 2000 to 2013SWAT model calibration was done using the Sequential Uncertainty Fitting (SUFI–2) technique and the Nash–Sutcliffe simulation efficiency (NSE) and coefficient of determination (R2). This included an initial calibration from 2000/1/1  to 31/9/2009  which was then validated for 1/10/2010 to 31/12/2013   using daily streamflow values. Adhaim Watershed's whole area was determined to be 11816.82 km2. Grasslands make up 41.01% of the total area. Additionally, 28% of LCLU came from croplands and desolate regions in equal measure.  A hydrological type D clay soil was discovered, along with the watershed's primary slope (0–5). The mean streamflow of Adhaim was determined to be 22.m3/????????????, and upon calibration, it was found to be 30 ????3/????????????.
A Review of Energy Harvesting Techniques for Self-Powered IoT Devices
Authors: Kamal Zainab , Dr. Riyadh A. Abbas  , Dr. Manaf H. Kadhum
Published: December 2024

The Internet of Things (IoT) manages a vast network of interconnected smart devices that collect, transmit, and analyze data from their environment using embedded components like processors, sensors, and communication equipment. These devices, which require efficient power sources, often rely on batteries that limit their operational lifespan and increase environmental impact. This paper provides a comprehensive review of energy harvesting techniques aimed at enhancing the longevity and sustainability of IoT devices. The methodology involves a comparative analysis of various energy harvesting sources such as solar, thermal, RF, and mechanical energy focusing on their efficiency, applicability, and integration within wireless sensor networks (WSNs). Key contributions include the identification of current limitations in energy harvesting technologies, such as low energy conversion efficiency and intermittency, and the proposal of solutions to optimize energy capture and storage. The results demonstrate that integrating multiple energy sources can significantly improve power availability and reduce dependence on conventional batteries. This review concludes by outlining the ongoing challenges and future research directions needed to develop efficient, reliable, and cost-effective energy harvesting systems for IoT applications.
Conhecimento das grávidas sobre sinais de trabalho de parto: uma revisão scoping
Authors: Resendes Marisa , Moreira Ana Cristina , Almeida Juliana , Tavares Márcio , Sousa Santos Ana Paula
Published: December 2024

Contexto e Objetivo: A gravidez e o parto são acontecimentos marcantes na vida das mulheres, acompanhados por transformações físicas e emocionais. Frequentemente, surgem dúvidas, medos e incertezas, especialmente relacionadas ao desconhecimento dos sinais de trabalho de parto. A promoção da saúde no período pré-natal visa capacitar as grávidas sobre o reconhecimento desses sinais e o momento oportuno para procurar assistência hospitalar, promovendo a saúde materno-fetal e um parto seguro. O objetivo desta revisão scoping foi mapear as evidências sobre o conhecimento das grávidas a respeito dos sinais de trabalho de parto. Métodos: Realizou-se uma revisão scoping baseada na metodologia do Joanna Briggs Institute (2020). A pesquisa foi feita em bases de dados da EBSCOhost e limitou-se a estudos publicados entre 2010 e 2023. Três revisores independentes avaliaram e sintetizaram os estudos selecionados. Resultados: Foram analisados cinco artigos. Os resultados foram agrupados em duas categorias principais: Grávidas Com Conhecimento dos Sinais de Trabalho de Parto, que abordaram sinais físicos de início de trabalho de parto, como mudanças fisiológicas e sintomas associados ao processo de parto; e Grávidas Sem Conhecimento, que incluíram temas relacionados à falta de informação, dificuldade de identificação de sinais e insegurança sobre o momento de procurar assistência hospitalar. Conclusões: As grávidas demonstraram um baixo nível de conhecimento sobre os sinais de trabalho de parto, além de dificuldade em identificar o momento correto para procurar atendimento hospitalar. Grande parte das grávidas não tinha recebido orientações adequadas durante o pré-natal. A educação em saúde no pré-natal é essencial para promover o empoderamento e a autonomia das grávidas.
Revisão sistemática de análises funcionais de comportamentos desafiadores no Brasil
Authors: Lemos Felipe Magalhães , Gonçalves Meira de Almeida Christiana , Dos Santos Carmo João , Jessel Joshua
Published: December 2024

Contexto: As análises funcionais são consideradas o padrão-ouro para identificar a função de comportamentos desafiadores e determinar intervenções subsequentes. Embora recomendadas, sua utilização por analistas do comportamento é reportada como pouco frequente. Objetivo: Realizar uma revisão sistemática de artigos publicados com revisão por pares, que descrevam análises funcionais de comportamentos desafiadores como procedimento pré-tratamento, conduzidas no Brasil, independentemente do local de publicação. Métodos: Realizou-se buscas online nas bases PsycINFO, ERIC, ISI Web of Science, Biblioteca Virtual em Saúde e Google Acadêmico; adicionalmente contactaram-se telefonicamente grupos de pesquisa em análise do comportamento. Os estudos incluídos (i) foram conduzidos no Brasil; (ii) utilizaram análise funcional como pré-tratamento; (iii) recorreram a procedimentos experimentais e mensuraram comportamentos desafiadores; e (iv) demonstraram uma relação entre eventos ambientais e comportamento. Resultados: Identificaram-se 234 estudos; porém, apenas cinco atenderam aos critérios de inclusão. A maioria (80%) foi classificada como utilizando análise funcional breve, embora os autores as classificassem como análise funcional padrão. Nenhum estudo apresentou ou atingiu critérios de diferenciação nas análises funcionais. Conclusões: Conclui-se que estudos envolvendo análises funcionais para informar planos de tratamento são escassos no Brasil, sendo necessárias adequações nas pesquisas para alcançar a precisão requerida.
International student assessments measure cognitive ability
Authors: Rindermann Heiner
Published: December 2024

Rutkowski et al. (2024) question whether international comparative student assessment studies (e.g., PISA, TIMSS, PIRLS) also measure intelligence. In addition, they accuse other researchers of having sinister intentions and frame their research on the side of political evil (e.g., “holocaust”). To determine what a diagnostic instrument measures, one can choose a content-cognitive-psychological or an empirical-correlative approach. However, one must start with defined terms and constructs. We define intelligence as the ability to think and the broader cognitive ability (or cognitive competence) as the ability to think, the disposal of knowledge and use this knowledge in an understanding way. Analyses show that the cognitive demands of the tasks in intelligence tests and student assessment tests are similar and can be solved using similar cognitive processes and strategies (e.g. finding information and reasoning). Correlative and factor analytic analyses at different data levels show a high empirical similarity and a strong g factor. The causal factors for individual development and for individual, national and historical differences in IQs and ILSA are also similar. Instead of distinguishing between intelligence tests and student assessment tests, we recommend distinguishing between thinking and knowledge. Finally, the introduction of political ideology is not helpful; science is damaged when hatred and agitation are spread. The Nazis, for example, also denigrated intelligence research (from their perspective as part of Jewish-modernist ideology).
How to search for evidence to answer clinical questions: pragmatic guidance for healthcare professionals and biomedical researchers
Authors: Boesen Kim , Hirt Julian , Woelfle Tim , Moscosio-Cuevas Jose Ignacio , Olsen Ole , Klingenberg Sarah Louise , Gluud Christian
Published: December 2024

Healthcare professionals, such as medical doctors, nurses, and physiotherapists commit to lifelong learning and to provide evidence-based healthcare. Despite this, surveys have found that medical doctors’ ability to find, analyse, and interpret scientific evidence is poor, which severely impairs the ability to stay updated. Thus, healthcare professionals should have basic competences to find relevant, updated biomedical evidence in the shape of systematic reviews and randomised clinical trials. Simple, pragmatic searches can be valuable to identify such evidence. In this paper, we provide a simple 4-step guidance on how to find systematic reviews and randomised clinical trials from commonly used databases and search engines like PubMed, the Cochrane Library, and Google Scholar. We highlight the World Health Organization International Clinical Trial Registry Platform to find planned and ongoing clinical trials and PROSPERO to find planned and ongoing systematic reviews. We give some background knowledge on each resource and tips to successful searches. Our guidance is intended as an evidence-based, pragmatic overview for healthcare professionals and researchers who would like to quickly answer specific questions to make a clinical decision, such as choosing between different treatments, or in the context of research purposes to find evidence on a certain topic. It is not intended as guidance for exhaustive searches needed for conducting systematic reviews.
Score-Based Tests for Parameter Instability in Ordinal Factor Models
Authors: Classe Franz , Kern Christoph , Debelak Rudolf
Published: December 2024

We present a novel approach for computing model scores for ordinal factor models, i.e. Graded Response Models (GRMs) fitted with a limited information (LI) estimator. The method makes it possible to compute score-based tests for parameter instability for ordinal factor models. This way, rapid execution of numerous parameter instability tests for Multidimensional Item Response Theory (MIRT) models is facilitated. We present a comparative analysis of the performance of the proposed score-based tests for ordinal factor models in comparison to tests for GRMs fitted with a full information (FI) estimator. The new method has a good Type I error rate, high power, and is computationally faster than FI estimation. We further illustrate that the proposed method works well with complex models in real data applications. The method is implemented in the lavaan package in R.
The cost-effectiveness of the Dutch In Balance fall prevention intervention compared to exercise recommendations among community-dwelling older adults with an increased risk of falls: a randomized controlled trial
Authors: Delfgaauw Jirini , van Gameren Maaike , Voorn Paul Benjamin , Bossen Daniël , Olij Branko , Visser Bart , Pijnappels Mirjam , Bosmans Judith
Published: December 2024

Background Falls among older adults are a growing public health issue, and are associated with injuries and increased societal costs. Therefore, implementation of effective fall prevention interventions is important. Given limited healthcare resources, evaluating the cost-effectiveness of these interventions is essential. Therefore, we aimed to evaluate the cost-effectiveness of the In Balance fall prevention intervention for community-dwelling older adults with an increased risk of falls compared to general physical activity recommendations (control) from a societal perspective.MethodsAn economic evaluation was conducted alongside a twelve month, single-blind, multicenter randomized controlled trial. Participants were 264 non- and pre-frail community-dwelling adults aged 65 years or older with an increased fall risk. We assessed costs from a societal perspective and effects included the number of falls, fall-related injuries, and Quality-Adjusted Life Years (QALYs) based on the EuroQol Five-level questionnaire (EQ-5D-5L) and the Adult Social Care Outcomes Toolkit (ASCOT). Missing data were handled using Multiple Imputation by Chained Equations (MICE). Incremental costs and effects were estimated using Seemingly Unrelated Regressions and used to estimate Incremental cost-effectiveness ratios (ICERs).ResultsOn average, In Balance was less expensive and more effective than control, but differences were not statistically significant. ICERs indicated dominance of the intervention for prevented falls (€-14,329 per prevented fall), prevented fall-related injuries (€-14,569 per prevented injury), and QALYs based on both the EQ-5D-5L (€-168,265 per QALY gained) and ASCOT (€-135,797 per QALY gained). The probability of cost-effectiveness of In Balance compared to control was 98% at a willingness to pay (WTP) of €0 per unit of effect gained.ConclusionsBased on this study, we conclude that In Balance may be considered cost-effective compared to control. Future research should explore whether In Balance as part of a comprehensive fall prevention strategy is cost-effective.
Risk and the Gender Gap in Attitudes toward Artificial Intelligence
Authors: Borwein Sophie , Magistro Beatrice , Alvarez R. Michael , Bonikowski Bart , Loewen Peter John
Published: December 2024

The potential for artificial intelligence to disrupt life and work has prompted debates on its regulation. This paper examines the gender gap in attitudes toward AI, focusing on how differences in risk-taking influence support for AI adoption and regulation. Using survey data from 3,000 respondents in Canada and the United States, we find that women are more skeptical of AI’s economic benefits and more likely to emphasize its risks, such as job displacement. This gap appears to be linked to women’s higher general risk aversion and greater exposure to AI-related risks. Experimental evidence shows that as AI’s benefits become more uncertain, women’s support for its adoption drops more sharply than men’s, while their support for government intervention increases. Given AI’s potential to exacerbate gender inequalities, policies that overlook women’s perspectives risk perpetuating workplace and societal disparities.
The ADVANCE toolkit: automated descriptive video annotation in naturalistic child environments
Authors: Middelmann Naomi K. , Calbimonte Jean-Paul , Wake Emily Bernadette , Jaquerod Manon , Junod Nastia , Glaus Jennifer , Sidiropoulou Olga , Plessen Kerstin J. , Murray Micah M. , Vowels Matthew J
Published: December 2024

Video recordings are commonplace for observing human and animal behaviours, including inter-individual interactions. Analyses for clinical applications remain particularly cumbersome, requiring human-based annotation that is time-consuming, bias-prone, and cost-ineffective. Attempts of machine learning to address these limitations still oftentimes require highly standardised environments, scripted scenarios, and forward-facing individuals. Here, we provide the ADVANCE toolkit - an automated video annotation pipeline. The versatility of ADVANCE is demonstrated with schoolchildren and adults in an unscripted clinical setting that included 2-5 individuals, occlusions, and large variations in actions. We accurately detected each individual, tracked them simultaneously throughout the duration of the recording, estimated the position of their skeleton joints, and labelled their poses. By resolving challenges of manual annotation, we radically enhance the ability to extract information from video recordings across different scenarios and settings. This toolkit reduces clinical workload and enhances ethological validity, offering scalable solutions for behaviour analyses in naturalistic contexts.
Inconclusive evidence for a prospective effect of academic self-concept on achievement: A simulated reanalysis and comment on Marsh et al. (2024)
Authors: Sorjonen Kimmo , Melin Bo , Nilsonne Gustav
Published: December 2024

Marsh et al. (2024) recently reported associations between academic achievement and self-concept (i.e., self-perceived academic competence). Marsh et al. claimed that their analyses supported a reciprocal effects model, according to which academic achievement and self-concept reinforce one another. Marsh et al. (2024) further recommended to test alternative models and juxtapose their results and interpretations. Here, we followed this recommendation and tested different models using data simulated to resemble the data they used. However, contrary to Marsh et al. (2024), in the present analyses we found contradictory positive, negative, and null effects between within-individual math self-concept and subsequent change in within-individual math achievement and vice versa. This suggests that the findings by Marsh et al. (2024) may have been spurious and that the reciprocal effects model can be challenged.
Mapping the ecology of risk: 100 risky choices of modern life
Authors: Frey Renato , Fischer Olivia
Published: December 2024

What are the risky choices people are confronted with in our complex and fast-changing world? This article reports on a set of representative population surveys in Switzerland (N = 4, 380) that collected those risky choices people perceive to be relevant in their own lives or in the lives of a large number of fellow citizens. Based on this empirical basis we developed an inventory of 100 risky choices, which we analyzed to address several open issues of the behavioral sciences, such as regarding the structure of the current ecology of risk (e.g., life domains; stability). Moreover, we employed this inventory with anindependent follow-up study (N = 933) to thus address the generalizabilty of the psychological construct of risk preference to real-life choices that are relevant to various subgroups of the population. The five key insights that emerged from developing, analyzing, and employing this inventory may not only be useful for researchers studying decision making under risk and uncertainty (e.g., what criteria to use for the development of novel measurement instruments), but also for policy making and various applied settings (e.g., by mapping who will likely be confronted with which risky choices; how swiftly therisks of modern life change, either spontaneously or in response to a global shock).
Make a Move+: A Randomized Controlled Trial of a Program Targeting Psychosexual Health and Sexual and Dating Violence for Dutch Male Youth with Mild Intellectual Disabilities
Authors: Verbeek Mirthe , van de Bongardt Daphne , Luijk Maartje , Miller Elizabeth , Slob Eric , Weeland Joyce
Published: December 2024

Whereas male youth with mild intellectual disabilities (MID) display similar sexual development as their peers without MID, they experience higher rates of sexual and dating violence (SDV) and sexual risk behavior. Yet, little is known about effective gender-specific prevention for this population. Therefore, we conducted a cluster-randomized controlled trial of a Dutch group-counseling program promoting psychosexual health and preventing SDV among male youth with MID aged 14 – 21 years: Make a Move+. The 120 participating male youth completed three questionnaires (baseline, post-test, 3-month follow-up; 77.5% retention). A subsample of 14 male youth and five trainers were interviewed pre- and post-program. With these multi-method, multi-informant data, we evaluated program effectiveness on the six intended outcomes (attitudes (primary outcome), global self-esteem, skills, knowledge, SDV use and victimization, and sexual risk behavior) by 1) statistically comparing self-reports between the intervention and control groups; 2) thematically analyzing interview data. We found limitations in program integrity, and mixed evidence for program effectiveness on attitudes, knowledge, skills, SDV use and sexual risk behavior, and no evidence for effectiveness on global self-esteem or SDV victimization. We also found indications of adverse effects on SDV use and victimization. We offer suggestions for program refinement and future program evaluations.
Survey on the effectiveness of the rent brake in Munich
Authors: Sommer Felicitas , Schade Rebekka , Prokosch David , Coelho Isabela , Haensch Anna-Carolina , Kreuter Frauke
Published: December 2024

This study explores the effectiveness of Germany’s rent control regulation in the context of Munich's housing crisis. The rent brake, aimed at preventing excessive rents in tense housing markets, was implemented in 2015 in Germany but has faced challenges in practical application. This research evaluates the number of tenants eligible to use the rent brake, investigates how eligibility of the rent break varies depending on housing conditions and landlord types and identifies factors hindering its application.A sample of 10,000 individuals from Munich's registration database, covering residents who moved after 2019, was drawn, resulting in 356 complete responses for analysis. The survey assessed demographics, rental conditions, and knowledge of the rent brake, with findings weighted by city district and household size.The study reveals that while 13% minimum and up to 38% of tenants could potentially apply the rent brake, only 2% of respondents had successfully secured a rent reduction. This low uptake is attributed to limited awareness—only 38% of participants knew about the rent brake—and fears of landlord retaliation, such as potential termination or strained relationships. The study concludes that the tenant-dependent enforcement undermines the effectiveness of the rent breake. Enhanced information access, tenant support systems, and institutional measures are needed to strengthen the regulation's impact and promote fair housing practices.
Pelaksanaan Pembelajaran Penjas Adaptif di SLB Sri Mujinab Pekanbaru Pada Kegiatan Tatap Muka Terbatas
Authors: Ananda Sanjai Ananda
Published: December 2024

Pendidikan adalah usaha yang sudah direncanakan guna  mewujudkan tujuan pembelajaran. Di kehidupan masyarakat ada anak yang terlahir dalam keadaan normal dan ada juga anak yang terlahir dalam keadaan memiliki kebutuhan khusus. Pelaksanaan pembelajaran di kota Pekanbaru mengalami kendala di tengah masih adanya penyebaran wabah Covid-19 sehingga pelaksanaan pembelajaran di kota Pekanbaru di batasi. Metode penelitian ini adalah deskriptif kualitatif, populasi dalam penelitian ini adalah tempat, pelaku dan aktivitas. Teknik penarikan sempel adalah purposive sampling yang menjadi instrument adalah peneliti sendiri. Pengumpulan data menggunakan teknik triangulasi. Penelitian ini menghasilkan pembahasan peneltian, bahwa tidak semuanya yang ada pada tujuan dari rumusan pemebelajaran penjas adaptif baik secara teori materi dan peraktek terlaksana dan  penyusunan RPP di sesuaikan dengan karakteristik peserta didik, dan pembelajaran tidak berpatokan pada RPP. Kesimpulan adalah pelaksanaan pembelajaran penjas adaptif di SLB Sri Mujinab Pekanbaru pada kegiatan  tatap muka terbatas tidak terlaksana dengan baik apa yang tertulis di tujuan yang ada di dalam rumusan pembelajaran penjas adaptif, pelaksanaan pembelajaran penjas adaptif di SLB Sri Mujinab Pekanbaru pada kegiatan tatap muka terbatas tidak berpatokan pada RPP pelaksanaan pembelajaran penjas adaptif di SLB Sri Mujinab Pekanbaru pada kegiatan tatap muka terbatas berhasil melaksanakan protokol kesehatan
Integrating Multiple Machine Learning Models to Predict Heart Failure Risk
Authors: Pinem Tuahta Hasiholan , Rianto, M. Yan
Published: December 2024

The research aims to create and evaluate machine learning models for the prognosis of heart failure based on patient medical information. Various predictive models have been created employing algorithms like logistic regression, decision trees, random forests, K-nearest neighbors, naive Bayes, support vector machines (SVMs), neural networks, and ensemble voting classifiers. The dataset utilized comprises diverse clinical characteristics from patients diagnosed with heart failure. The data underwent division into training and testing sets in an 80:20 ratio. Metrics including accuracy, Cross Validation Score, and ROC_AUC Score score were used to assess the models' performance. The findings reveal that the Voting Classifier, amalgamating the Logistic Regression and Support Vector Classifier models, demonstrated superior performance with an accuracy of 88.04%, a cross-validation score of 91.01%, and a ROC_AUC score of 88.00%. Further scrutiny suggested that blood pressure and cholesterol levels serve as substantial indicators of heart failure. This study presents a notable advancement in the utilization of machine learning models for heart failure prediction by scrutinizing diverse algorithms and pinpointing the most pertinent clinical characteristics. These outcomes hint at the potential for the development of machine learning-driven clinical tools to facilitate early detection and enhance medical interventions.
Rubber Leaf Image Classification Using Artificial Intelligence Methods as an Effort to Improve Plantation Production Results
Authors: Buyung Irawadi , Utari Evrita Lusiana , Mustiadi Ikhwan , Winardi Sugeng , Ariyanto Ipan , Listyalina Latifah
Published: December 2024

Purpose: Rubber is one of the plantation commodities that contributes positively to the trade surplus in the agricultural sector. Seeing the positive trend in global rubber consumption and production, demand is expected to continue increasing in the future. To enhance rubber productivity, rubber processing technology can be used to make it more efficient, thus increasing the amount of latex extracted from the sap and reducing waste materialDesign/methodology/approach: One technology that can be developed to increase the productivity efficiency of rubber plants is by using Artificial Intelligence. This technology is expected to be implemented in the rubber plantation sector, specifically in the automatic recognition of rubber leaves.Findings/result: The measurement and performance analysis of the rubber leaf image classification algorithm based on Artificial Intelligence has also been evaluated, showing near-perfect accuracy on training data (99.86%) and very good performance on validation data (97.43%), with a very low validation loss (0.0873), indicating that the model has learned well by the last epochOriginality/value/state of the art: The population in this study consists of image data from various tree leaves, including 10 types of rubber leaves and non-rubber leaves