bluuebunny/crossref_metadata_2025 huggingface dataset:
Development and Validation of a Mobile-Centered Digital Health Readiness Scale (mDiHERS): Health Literacy and Equity Scale
Authors: Kim Hana , Schnall Rebecca , Yoon Nagyeom , Koh Seong-Joon , Lee Jisan , Cheon Jae Hee
Published: June 2024

Background

There has been a rapid expansion of digital health care services, making the need for measuring and improving digital health readiness a priority. In response, our study team developed the Mobile-Centered Digital Health Readiness: Health Literacy and Equity Scale (mDiHERS) to measure digital health readiness.

Objective

We aim to develop and validate a scale that assesses digital health readiness, encompassing literacy and equity, and to ensure the effective use of mobile-centered digital health services.

Methods

This study was conducted from October 2021 to October 2022 to develop and validate the mDiHERS. Participants included patients with inflammatory bowel disease, which is a chronic condition requiring continuous management, and experts in medical and nursing informatics. The scale development involved a literature review, focus group interviews, and content validity evaluations. A total of 440 patients with inflammatory bowel disease were recruited for the validation phase, with 403 completing the survey. The scale’s validity and reliability were assessed through exploratory factor analysis and Cronbach α. The scale was translated into English by translators and bilingual and native researchers, ensuring its applicability in diverse settings.

Results

The mDiHERS consists of 36 items across 6 domains, with a 5-point Likert scale for responses. The validation process confirmed the scale’s construct validity, with 4 factors explaining 65.05% of the total variance. The scale’s reliability was established with Cronbach α values ranging from 0.84 to 0.91. The scale’s development considered the technical proficiency necessary for engaging with health mobile apps and devices, reflecting the importance of subjective confidence and objective skills in digital health literacy.

Conclusions

The mDiHERS is a validated tool for measuring patients’ readiness and ability to use digital health services. The mDiHERS assesses user characteristics, digital accessibility, literacy, and equity to contribute to the effective use of digital health services and improve accessibility. The development and validation of the mDiHERS emphasize the importance of confidence and competence in managing health digitally. Continuous improvements are necessary to ensure that all patients can benefit from digital health care.
A Study on the Change Path of Public Administration Mode in the Era of Big Data
Authors: Li Runjia , He Sumu , Zeng Zitong
Published: June 2024

The advent of the big data era presents social public administration with a host of novel opportunities and challenges. Harnessing the capabilities and guiding influence of big data in a scientific manner is essential for enhancing the current standards of social and public administration. This paper delves into the critical issues confronting the existing public administration model within the big data context, including information security concerns, challenges in information integration, and the lack of information awareness among staff. It proposes targeted reform measures aimed at fostering the evolution of the public administration model to better adapt to and thrive in the new era.
The Customer-Funded Business—A Conceptual Analysis
Authors: Tarrazo Manuel
Published: June 2024

John Mullins’ The Customer-Funded Business (CFB) (Wiley, 2014) focuses on entrepreneurial and start-up cases where customer funding, often referred to as “the magic of traction”, is sufficient to make the venture succeed. Customer funding is a necessity for those start-ups that do not obtain financing from the traditional, usual sources—corporate and venture capital. Second, certain businesses are natural candidates to be set up in this way, as they provide self-sufficient customer funding. This is the case with, for example, matchmaker, pay-in-advance, subscription, scarcity-based, and service-to-product models. Third, Mullins believes the concept is so useful and powerful that it may generate an authentic revolution in entrepreneurial endeavors. In this note, we complement Mullins’ analysis with additional material that strengthens his CFB strategies. We first clarify the components of any customer-funded strategy: working capital and cash-conversion cycle, cashflows dynamics, and production intensity. These components provide a wider context that, in turn, enable us to review the role of customer-funded strategies in practice. We review the cases of about one hundred start-ups. Our study strengthens the case for CFB strategies, not only for financing reasons, but also to protect the interests of the start-up’s founders.
Misconception in Air Pressure and Use of Conceptual Change Model to Eliminate Misconception
Authors: Wangchuk Sonam
Published: June 2024

Determine the common misconceptions about air pressure's dependence on altitude and boiling point's dependence on air pressure and use the Conceptual Change Model to eliminate misconceptions. A quantitative case study was administered to gather information from 25 students of Tang Central School. The three-tier model was used to identify the misconceptions in participants. The conceptual Change model focused on four steps (awareness, exposure, confrontation, and resolving) were incorporated to address the misconception. In the process, YouTube tutorials were used as learning materials. Misconceptions are allayed using an effective teaching strategy (Conceptual Change Model) and outsourcing external resources such as tutorials.
La agenda internacional y los Objetivos de Desarrollo Sostenible. Retos y perspectivas de camino al 2030
Authors: Aréizaga Sánchez Gabriela Paola , Macedo Chagolla Fernando , Arvizu Cortés Mario Marcos
Published: June 2024

Los Objetivos de Desarrollo Sostenible, implementados por Naciones Unidas en el 2015, surgen como una meta integral y ambiciosa para abordar los temas más preocupantes que enfrenta la humanidad en la época actual. Las investigaciones contenidas en la obra exploran las diversas perspectivas de estos objetivos y su relevancia en la agenda internacional.
Alteraciones morfométricas en hembras juveniles de iguana negra (Ctenosaura pectinata) cuando varía el consumo de proteína y energía
Authors: Sánchez Mendez Cristina Guadalupe , López Pozos Roberto , Santiago Romero Héctor , Martínez García José Antonio , Mendoza Martínez Germán David , Arcos-García José Luis
Published: June 2024

Como animal ectotermo, la iguana negra (Ctenosaura pectinata) come alimentos diversos y su crecimiento no es constante; por lo tanto, su ganancia de peso y crecimiento longitudinal son bajos. En esta investigación se estudiaron los cambios morfométricos de la iguana negra a temperatura ambiente. Se probaron diferentes porciones de proteína cruda y energía metabolizable. Se utilizaron 30 hembras juveniles con peso promedio de 124.4 ± 61.1 g. A cada hembra se le mantuvo en una jaula individual con un bebedero y un comedero semiautomáticos. Su alimentación consistió en la combinación de proteína cruda (29.4 y 33.4 %) y tres variantes de energía metabolizable: 2.49, 2.55 y 2.7 Mcal/kg. Las variables evaluadas fueron peso vivo (mg), perímetro, diámetro y longitud corporal (mm). Las variables asociadas al consumo de alimento fueron: materia seca (mg), proteína cruda (PC) y energía metabolizable (EM). Se empleó un diseño de bloques completos aleatorizados con arreglo factorial 2×3, donde el criterio de bloqueo fue el peso de las iguanas. Para observar las diferencias entre tratamientos, se utilizó la prueba de Tukey. Hubo diferencias (P < 0.0500) en el ancho de la cabeza y el diámetro base de la cola por efecto del factor energía. Los tratamientos de 29.4 PC y 2.55 EM, y 33.4 PC y 2.55 EM mostraron mayor (P < 0.0500) consumo de materia seca, proteína y energía. Debido a la alimentación también se registró aumento en algunas variables morfométricas. Las hembras juveniles crecieron mejor con la combinación alimenticia de: 33.4 y 2.55 (PC−EM).
Fictional Names without Fictional Objects
Authors: Orlando Eleonora
Published: June 2024

In this paper, I criticize Mark Sainsbury’s proposal concerning the semantic analysis of fictional discourse, as it has been put forward in chapter 6 of his Reference without Referents. His main thesis is that fictional names do not refer, and hence statements containing them are genuinely false and must be interpreted in terms of true paraphrases, arrived at on a case-by-case basis. In my opinion, the proposal has a problem derived from the fact that the relation between some problematic examples —“Holmes is a detective”, “Tony Blair admires Holmes”— and their suggested paraphrases needs to be clarified and further elaborated.
Protective Measures from the Interference of Confining Animals to Farm Site
Authors: Hussain Mohd Vasique
Published: June 2024

Abstract: A farm producing grains, vegetables and crops are required to be protected from unwanted interference of animals. It is necessary to demarcate the boundary between farms. Due to non-hindrance the crops are damaged by the roaming animals resulting in severe loss of manpower and money. The research is aimed to resolve such consequences by the use of fencing at farm site. For the research purpose agricultural farm of College of Agricultural Engineering is considered. A design of fencing is proposed as a protective measure and cost estimation is done to analyse the approximate cost for the designed fencing
Exploring the Benefits of Beaded Accessory in the Shama District of the Western Region, Ghana
Authors: Obo Susana
Published: June 2024

Abstract: Providing entrepreneurial skills to Ghanaian youth has become a national concern in recent time. This has been highlighted in the Sustainable Development Goal (SDG) 4 Target 4.4, which states that by 2030, substantially increase the number of youth and adults who have relevant skills, including technical and vocational skills for employment, decent jobs and entrepreneurship. This study explores the benefits and prospects of beaded accessory industry in Shama District of the Western Region to ascertain its feasibility as an avenue for providing the youth with entrepreneurial skills. Qualitative research design was used. Self-reported data were collected from the 17 people comprising three (3) producers, four (4) sellers and ten (10) users of beaded accessories using interview. The data collected from the interviewees was analysed using descriptive and thematic content procedures. The results of the study show that beaded accessories are worn by royals; used for cultural purposes; women wore them around their waists, as earrings/necklaces/anklets/bracelets for various functions in the past; used to decorate sewn clothes, bags/purses and footwear. It was recommended that in the face of this current unemployment rate among the youth in Ghana, the government should liaise with the chiefs to establish small bamboo fashion accessories industries at the places where there are bamboo plantations.
Comparison of Stability Analysis of Building by Euro and Indian Code
Authors: Jakhar Dipanshu
Published: June 2024

Abstract: Precast concrete construction is a construction in which the concrete is cast in molds as per the requirement, treated in a controlled factory environment, and then transported to the construction site and put in the desired place. Therefore, in this report the comparison of stability analysis of building by euro and Indian code is been carried out. The methodology used for manual calculation of stability check is calculation of wind analysis and mass load analysis where firstly, the horizontal load coming on the structure is calculated. The horizontal load includes the wind load and mass load. The critical direction of both loads is determined and then applied at floor levels along with the geometrical imperfection load. Second is based on the relative stiffness of each Stability wall, the floor loads are distributed among the stability walls at each floor level. And finally, the local stability of each wall is checked. The stability checks for local stability are
Crime Predictive Model for Hotspot Mapping
Authors: Sejal Suryawanshi
Published: June 2024

Abstract: In contemporary law enforcement, the need for proactive strategies to combat crime and ensure public safety is paramount. This paper presents the development and implementation of a predictive modeling framework aimed at identifying crime hotspots and optimizing resource allocation for law enforcement agencies. The model leverages historical crime data, geographical information, and socio- economic factors to forecast areas at elevated risk of criminal activity. Through a multistage process encompassing data collection, preprocessing, feature engineering, and model training, the predictive model enables law enforcement agencies to anticipate and prioritize areas with the highest likelihood of crime occurrence. By strategically deploying resources to these identified hotspots, law enforcement agencies can intervene early, deter criminal activity, and reduce overall crime rates. This research contributes to the advancement of evidence-based policing practices by offering a scalable framework for crime hotspot mapping that prioritizes efficiency, effectiveness, and community partnership.
Formulation and Evaluation of Herbal Mosquito Repellent Incense Stick
Authors: Faruki Sami R.
Published: June 2024

Abstract: Currently, there are a number of environmental and health concerns with the use of chemicals made specifically to repel mosquitoes. The goal of this study was to create a safer, chemically free, much less expensive, and easily manufactured mosquito repellent. Living things called vectors can spread contagious diseases from animals to humans or between humans. The most well-known disease vector is the mosquito. The goal of this study was to ascertain the effectiveness of Azadirachta indica, a plant from the Maliaceae family that is used to make a safe and reliable herbal mosquito repellent stick, as a natural insect repellent. In today's world, there is a growing need for natural mosquito repellents that are affordable, dependable, nontoxic, environmentally safe, and biodegradable.
Automated Irrigation System Using Temperature Sensor and Soil Humidity Sensor
Authors: Anusha Mrs. K
Published: June 2024

Abstract: Over recent years, the agricultural sector has experienced a significant shift towards implementing smart farming techniques facilitated by Internet of Things (IoT) technology. This paper introduces the conception, creation, and execution of an automatic irrigation system utilizing an ESP-32 microcontroller, soil moisture sensor, DHT-11 sensor, water level sensor, buzzer, pump motor, and GSM module. The primary objective of this system is to optimize water consumption and augment crop yield by delivering precise irrigation control based on real-time environmental data. The proposed model presents numerous advantages including improved water efficiency, minimized manual intervention, and enhanced crop yield through optimized irrigation techniques. Furthermore, its scalability and adaptability render it suitable for deployment across diverse agricultural environments. Experimental findings affirm the efficacy and dependability of the model in conserving water resources while maximizing agricultural output
Sesmic Comparitive Analysis for Isolated RCC Trapezoidal Footing Resting over Black Cotton Soil
Authors: Gupta Dr. A. R.
Published: June 2024

Abstract:During earthquake soil deforms under influence of incident seismic waves and dynamically carries with it foundation and support structures. There are various types of soil and various types of footing Thus it becomes important to study the behaviour of footing during earthquake in different soil The main objective of the study is to understand the effect of sesmic forces on Isolated RCC Trapezoidal Footing resting over Black Cotton soil. Also from various literature review study shows the point which are helpful to overcome damage in footing construction by showing different method, loading combination, sesmic effect, footing stability, etc.
Seismic Damage Assessment of RCC Structure Considering Infill Walls and Coupled Forces
Authors: Dharmale Mr. Purnesh N
Published: June 2024

Abstract: Seismic damage assessment of reinforced concrete (RC) structures is a critical aspect of structural engineering, especially in regions prone to earthquakes. These assessments ensure the safety and integrity of buildings during seismic events. Incorporating infill walls and understanding coupled forces are pivotal in accurately predicting and mitigating damage. Infill walls, although non-structural, significantly influence the dynamic behavior and overall seismic performance of RC structures. They interact with the structural frames, affecting stiffness, strength, and failure modes, which must be considered in any thorough analysis. Coupled forces, arising from the interactions between various structural and non-structural components during an earthquake, can profoundly impact a building's response to seismic loads. This introduction aims to underscore the importance of detailed seismic damage assessments, highlighting the need for advanced modeling techniques and comprehensive analyses to ensure that RC structures can withstand and perform adequately under seismic conditions. By integrating these considerations, engineers can enhance the resilience and safety of buildings, thereby reducing the risk of catastrophic failures and improving public safety during earthquakes.
Advancements in Face Recognition: From Feature Extraction to Deep Learning Models and Integrated Biometric Solutions
Authors: Upadhyay Niharika
Published: June 2024

Abstract: Face recognition is a critical field within computer vision and artificial intelligence, focusing on identifying or verifying individuals through digital images or video frames. This research investigates feature extraction and dimensionality reduction techniques, starting from geometric and appearance-based features to advanced deep learning models like DeepFace and FaceNet. It explores face detection methods such as the Viola-Jones Detector, Histogram of Oriented Gradients (HOG), and Convolutional Neural Networks (CNNs), emphasizing the importance of accurate face detection as a precursor to recognition. The study delves into the efficacy of various algorithms, including Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Support Vector Machines (SVM), and neural networks, highlighting their roles in enhancing recognition accuracy. It addresses challenges such as lighting, pose variations, and occlusions, presenting solutions like multi-task learning frameworks and face de-occlusion networks. Utilizing the Olivetti Faces dataset, the research evaluates different face recognition models, discussing their performance and accuracy. The findings underscore the potential of integrating face recognition with other biometric modalities, enhancing system reliability and opening new applications in security, consumer technology, and beyond.
Advancements and Innovations in Face Recognition Technology: A Review of Methodologies, Challenges, and Emerging Approaches
Authors: Upadhyay Niharika
Published: June 2024

Abstract: The study summarizes the key findings and contributions of the reviewed papers on face recognition technology. These papers explore various methodologies and innovations aimed at enhancing the accuracy, efficiency, and robustness of face recognition systems. From novel clustering techniques and adaptive classifiers to innovative distance metrics and robust recognition systems, the research presented in these papers demonstrates a diverse array of approaches to address the complexities of face recognition. Additionally, the exploration of emerging methodologies such as Independent Component Analysis (ICA) and novel distance metrics showcases ongoing efforts to push the boundaries of face recognition technology. By addressing challenges related to dimensionality, computational complexity, and robustness, researchers aim to develop more effective and versatile face recognition systems with applications across diverse domains including security, human-computer interaction, behavioural science, and more.
Health Care Chatbot
Authors: Shriyal Prof. Swati
Published: June 2024

Abstract: Diabetes management is a complex and continuous process that requires regular monitoring, timely medical advice, and effective communication with healthcare providers. Traditional methods often fall short in providing the constant support needed by diabetes patients. The integration of chatbots in healthcare, powered by machine learning (ML) and deep learning (DL), presents an innovative solution to enhance patient engagement, streamline communication, and offer personalized care. This project aims to develop a comprehensive healthcare chatbot designed specifically for diabetes management. The chatbot utilizes ML and DL technologies to facilitate multi-modal interactions, including text and voice commands, direct communication with healthcare providers, prescription management, and personalized medical advice based on symptom input.
Advanced Community Management Systems (ACMS) for Gated Communities
Authors: Kalburgi Anusha
Published: June 2024

Abstract: "ACMS for Gated Communities" is an Android application designed for housing colonies, gated communities, and apartment complexes to streamline and automate their daily activities, creating an ideal and optimal living environment. The key advantage is that it can be customized to match the individual demands of many communities, resulting in a flexible and scalable solution. This app allows residents to quickly manage deliveries, book facilities, and contact with management. Gated communities have become a popular residential option around the world, offering homeowners with a safe and private living environment. The varying needs and expectations of residents are usually too much for traditional management techniques to handle, which calls for innovative and revolutionary solutions. ACMS for gated communities blend technology, security, and convenience to provide a comprehensive solution for managing transportation and access within these residential areas. Future advancements in artificial intelligence, Internet of Things (IoT) integration, and autonomous vehicle management are expected to further enhance the capabilities of these systems. ACMS enhances security and streamlines entry and exit processes by utilizing automated gate systems, visitor management protocols, and integrated surveillance. This abstract examines the idea of Advanced Community Management Systems (ACMS) for gated communities, which utilize modern technology and dynamic methods to improve community administration and increase resident satisfaction.
Advanced NLP Techniques for Sentiment Analysis and Text Summarization Using RNNs and Transformers
Authors: Pritam Kumar
Published: June 2024

Abstract: This research focuses on leveraging artificial intelligence and neural network architectures to enhance the capability of machines in comprehending, interpreting, and summarizing text data in human languages. The study aims to improve natural language processing (NLP) tasks, specifically sentiment classification and text summarization. Key efforts include the development of neural network architectures such as Recurrent Neural Networks (RNNs) and Transformers to model linguistic contexts and sequences. The creation of annotated datasets for sentiment analysis and summarization was essential for training and evaluating these models. Additionally, transfer learning techniques were explored to pretrain language models on large corpora, enhancing their performance. The evaluation of neural network models utilized relevant NLP metrics like accuracy, ROC curve, and F1 score for sentiment classification tasks. The research also developed end-to-end NLP pipelines leveraging trained neural networks for document summarization and sentiment detection. The results confirmed that AI and neural networks could effectively perform sentiment analysis and text summarization. Training metrics indicated robust learning and generalization capabilities, with high accuracy and improved ROUGE and BERT scores. The findings underscore the potential of deep neural networks in understanding and summarizing textual content, suggesting promising directions for future work, including deeper neural networks, attention models, and multimodal data integration.
Healthy Life Pro – A Fitness Integration Platform using Flutter
Authors: Pawar Ojas
Published: June 2024

Abstract: In a world where health and fitness have taken the center stage, “Healthy Life pro” emerges as a transformative solution, uniting gym owners, trainers, and fitness enthusiasts within a dynamic and interconnected ecosystem. Developed using the cutting-edge Flutter framework, this app redefines the way the fitness industry operates, fostering collaboration, engagement, and efficiency across its diverse user base. With “Healthy Life pro”, we’ve harnessed the power of modern technology to create a platform that empowers gym owners, trainers, and customers. This innovative application opens the door to a world where individuals and businesses in the fitness space can come together to transform the way they work and interact. Gym owners will find “Healthy Life pro” as a robust set of tools that simplify the management of their facilities, from scheduling classes and tracking memberships to enhancing customer engagement. Trainers will benefit from a central hub for showcasing their expertise, offering personalized training programs, and engaging with clients in real-time. Meanwhile, fitness enthusiasts can seamlessly discover and access a wide range of fitness programs, book sessions with their favourite trainers, and connect with a vibrant fitness community
An Analysis of the Success of Talent Acquisition through Online Recruitment
Authors: Lakshmi Datla Yasoda
Published: June 2024

Abstract: In today’s technologically advanced and rapidly moving world, recruiters are increasingly turning to online recruitment. Currently, many HR professionals prefer e-recruitment as their primary method for sourcing candidates. This approach utilizes numerous online platforms such as LinkedIn, Naukri, Instagram, Facebook, etc. With the advent of artificial intelligence, e-recruitment has reached a new level of sophistication.
Machine Learning-Powered Fraud App Detection: Safeguarding Google Play Store Integrity
Authors: Kumar Kanakala SS Praveen
Published: June 2024

Abstract: As the variety of mobile applications used in daily life expands, it becomes crucial to stay updated and discern which apps are safe and which are not. It is challenging to make a judgment. Our methodology predicts using four criteria: ratings, feedback, in-app purchases, and the presence of advertisements. The system assesses three models: Naïve Bayes, logistic regression, and decision tree classifier. These models were then evaluated based on four F1 score metrics: recall, precision, and accuracy. A high F1 score should exceed 0.7, and a recall score greater than 0.5 indicates enhanced precision and accuracy. After analysis, we found that the decision tree model was an exceptional model with an accuracy of 85% and an F1 score
Geometric Improvements in the Horizontal Alignment and Vertical Profile of Lohapathar Ghat Section in Bhopal-Salkanpur Road using Autodesk Civil 3D Software
Authors: Gawande Ajay Kumar , Kirar Dr. Bablu
Published: June 2024

Abstract: Geometric highway design involves the creation of visible elements like horizontal alignment, vertical profile, crosssectional features, sight distances, curves, and superelevation, all vital components in maintaining road safety. Concentrating on the stretch of road from Bhopal to Salkanpur, specifically the area around Salkanpur Ghat in Madhya Pradesh, India, this research aims to enhance the horizontal and vertical geometry using Civil 3D Software. Spanning approximately 1.860 km in hilly terrain, this section poses significant risks with sharp curves and steep vertical gradients ranging from 6.5% to 7%. These conditions contribute to its status as an accident-prone area, resulting in both physical and economic losses. The outputs demonstrate that both improved alignments have shorter lengths compared to the existing road, with smoother curves and reduced maximum gradients (5.3% compared to 7%). Moreover, the minimum design speed has significantly increased from 20 kmph to 65-80 kmph, indicating enhanced safety and efficiency for vehicular traffic."
Advancements in Natural language Processing: An In-depth Review of Language Transformer Models
Authors: Singh Ritesh Kumar
Published: June 2024

Abstract: This review paper provides a succinct exploration of the history and impact of language transformer models in natural language processing (NLP). Beginning with a literature review, we trace the evolution of key models and elucidate fundamental concepts like self-attention mechanism and positional encoding. A comparative analysis of major transformer models, including BERT, GPT, T5, XLNet, offers insights into their architectures, strengths, and weaknesses. The discussion extends to pretraining objectives, fine-tuning strategies, and evaluation metrics, complemented by real-world examples of successful applications in NLP. We address current challenges, discuss potential future directions, and explore ethical considerations, providing valuable suggestions for researchers and practitioners in the NLP community in our conclusive summary.
A Study on Playful Work Design and Performance of Employees
Authors: Savaikar Shreyas
Published: June 2024

Abstract: This paper's primary goal is to make an initial attempt to learn about and comprehend the various facets of concrete 3D printing. We have studied materials, printing parameters, finished and ongoing projects, and we have tested 3D printable concrete with materials that are readily available in our locality. This work examines a variety of historical data on mix design proportions, draws a general conclusion about the effects of mixture compositions on characteristics, particularly on the fresh and hardened stages of 3DPC, highlights those effects, and describes mix design methodologies. Right now, we continue to use a trial-and-error methodology, which is standard practice. In order to accomplish design goals that are common to particular 3D printer parameters and that should be widely accepted, we need to develop a set of standard guidelines.Here, the idea of manual extrusion—manually printing 3D objects with a hand-held extruder—is presented for experimental purposes.
Evaluation of Mechanical and Tribiological Characteristics of LM-13 Hybrid Al-Metal Matrix Composites
Authors: Sukumar Dr. S.
Published: June 2024

Abstract: LM-13 used for piston and applications where thermal stresses are more. This alloy can withstand higher temperatures and loads. It has good wear resistance properties and machinability. In this experimental study, Al alloy LM13-SiC & MoS2 & Graphite hybrid composites were produced by stir casting method using Sic powder as reinforce particles with 150-micron average diameter and Al alloy as the matrix metal. The melt composites were stirred, then casted into a metallic mold. Different samples of 0, 2.5, 5 and 7.5 weight percent of Sic with constant weight percentage of MoS2 and graphite were prepared. The casted composite specimens were machined as per test standards. Effects of weight percent of Sic particles on hardness, tensile strength and compressive strength of prepared composites have been investigated. The highest tensile and compressive strengths were achieved in the specimen containing 5%, 7.5 weight percent of SiC, which shows an increase in comparison with the unreinforced Al alloy. It has been observed that addition of Sic particles significantly improves hardness, tensile strength, and compressive strength properties as compared with that of unreinforced matrix. Wear and corrosion rate were minimum obtained with the ratio of 5% & 7.5 weight percent of Sic.
LITERATUR REVIEW: MEKANISME DAN PENGARUH IKLIM TROPIS TERHADAP FAKTOR DEGRADASI KLOROFIL TANAMAN KELAPA SAWIT
Authors: Icaq Dwi Prasetyo  , Sumaryanto Sumaryanto
Published: June 2024

Proses fotosintesis pada tanaman berperan penting dalam menghasilkan oksigen dan glukosa sebagai sumber energi atau penyusun struktur sel tanaman. Pada proses fotosintesis, klorofil memiliki peran yang krusial sebagai penerima energi cahaya, transfer energi, dan transfer elektron. Konsentrasi klorofil yang tinggi dapat meningkatkan respon fotosintesis dan hal ini menjadi penting khususnya pada tanaman kelapa sawit sebagai tanaman C3. Tanaman dengan karakter C3 ini memiliki korelasi yang positif antara hasil tandan dengan intersepsi radiasi matahari per kelapa sawit karena adanya korelasi langsung dengan radiasi yang diintersepsi untuk memproduksi gula melalui siklus Calvin. Oleh karena itu, konsentrasi klorofil dan karakter klorofil pada tanaman kelapa sawit menjadi penting untuk dipahami. Pada tulisan ini dikaji mengenai karakter klorofil, karakter fotosintesis tanaman kelapa sawit, mekanisme degradasi klorofil dan faktor-faktor yang berpengaruh. Beberapa faktor yang dikaji mengenai proses degradasi klorofil mencakup penuaan daun, kekeringan, defisiensi nitrogen, dan suhu lingkungan. Karena pentingnya kajian mengenai karakter klorofil dalam proses fotosintesis dan dalam hal ini sangat diperlukan maka dengan tulisan ini diharapkan dapat memberikan pandangan baru dalam memahami metabolisme dan pengaruh lingkungan khususnya iklim tropis terhadap degradasi klorofil tanaman kelapa sawit.
Habitar, consumir y cultivar. Procesos e iniciativas para la transición ecosocial en Cataluña y Madrid
Authors: Berná Serna David , Sama Acedo Sara , Homs Ramirez de la Piscina Patricia
Published: June 2024

En el actual contexto de crisis ecosocial, las narrativas ecotransformadoras impregnan las actuales agendas institucionales, de entidades asociativas y movimientos sociales. Estas narrativas buscan promover prácticas que aseguren la sostenibilidad de la vida y redefinir las relaciones sociedad-naturaleza en términos de interdependencia y ecodependencia. Este artículo aborda, primero, el contexto sociopolítico de desarrollo de estas narrativas y los procesos ecotransformadores involucrados. Posteriormente, analiza la "capacidad ecotransformadora" de iniciativas colectivas concretas desde tres casos de estudio: los procesos de neorruralización y producción de vino natural (Sierra Oeste de Madrid y Sur de la Sierra de Gredos), los sistemas de aprovisionamiento agroecológico (Cataluña) y los huertos urbanos comunitarios integrados en un Programa Municipal (Madrid). El análisis pone énfasis en las motivaciones, desafíos y limitaciones que encuentran los agentes al practicar formas sostenibles de habitar, producir y consumir, así como sobre sus relaciones con las agendas institucionales públicas sobre la transición ecosocial.
Iniciativas público-comunitarias de cuidado a personas mayores. Oportunidades y retos para la transformación en el Ecosistema Local de Cuidado de Zestoa
Authors: Barañano-Uribarri Maider , Uriarte-Goikoetxea Alaitz , Legarreta-Iza Matxalen
Published: June 2024

Los cambios demográficos y el envejecimiento de la población han propiciado un aumento de la demanda de cuidados en un contexto de fragilidad en su provisión. Como respuesta, surgen iniciativas para su reformulación. En el Territorio Histórico de Gipuzkoa, el gobierno foral, junto con el local y autonómico, está impulsando iniciativas público-comunitarias, denominadas Ecosistemas Locales de Cuidado. Constituyen un espacio privilegiado para analizar modelos de gobernanza colaborativa e identificar oportunidades que brinda la comunidad en la provisión de cuidados. El artículo tiene como objetivo analizar la creación del Ecosistema Local de Cuidado de Zestoa, atendiendo a la organización social de cuidados y a la colaboración entre agentes. Se realiza un seguimiento durante dos años, que incluye entrevistas y grupos de discusión. Los resultados muestran que la colaboración resulta crucial para responder a las particularidades del municipio, pero crea tensiones respecto a los ritmos y las formas de trazar la participación.
Relating non-local quantum computation to information theoretic cryptography
Authors: Allerstorfer Rene , Buhrman Harry , May Alex , Speelman Florian , Verduyn Lunel Philip
Published: June 2024

Non-local quantum computation (NLQC) is a cheating strategy for position-verification schemes, and has appeared in the context of the AdS/CFT correspondence. Here, we connect NLQC to the wider context of information theoretic cryptography by relating it to a number of other cryptographic primitives. We show one special case of NLQC, known as f-routing, is equivalent to the quantum analogue of the conditional disclosure of secrets (CDS) primitive, where by equivalent we mean that a protocol for one task gives a protocol for the other with only small overhead in resource costs. We further consider another special case of position-verification, which we call coherent function evaluation (CFE), and show CFE protocols induce similarly efficient protocols for the private simultaneous message passing (PSM) scenario. By relating position-verification to these cryptographic primitives, a number of results in the information theoretic cryptography literature give new implications for NLQC, and vice versa. These include the first sub-exponential upper bounds on the worst case cost of f-routing of 2O(nlog⁡n) entanglement, the first example of an efficient f-routing strategy for a problem believed to be outside P/poly, linear lower bounds on quantum resources for CDS in the quantum setting, linear lower bounds on communication cost of CFE, and efficient protocols for CDS in the quantum setting for functions that can be computed with quantum circuits of low T depth.
ANALISIS PUTUSAN HAKIM NO. 319/PDT.G/2017 PADA GUGATAN WANPRESTASI UNTUK PELAKSANAAN KONTRAK MURABAHAH BI AL-WAKALAH
Authors: Maulana Muhammad
Published: June 2024

Penerapan murabahah bi al-wakalah yang dilakukan oleh bank BRI Syariah cabang Banda Aceh telah menimbulkan persengketaan disebabkan pihak nasabah tidak menerima sepenuhnya perwakilan untuk pembelian rumah yang telah diwakalahkan pada akad pembiayaan. Hal tersebut telah menimbulkan konflik antara pihak bank,  nasabah dan developer terjadi permasalahan. Adapun tujuan penelitian skripsi ini yaitu untuk  meneliti pendapat hakim Mahkamah Syar’iyah Kota Banda Aceh putusan No.319/Pdt.G/2017 dalam menolak gugatan pengggugat dan juga menolak eksepsi tergugat, serta menganalisis pertimbangan hakim dalam gugatan wanprestasi pada pembiayaan murabahah bi al-wakalah pada BRI Syariah KCP Banda Aceh. Untuk mendapatkan data yang objektif serta valid, penulis menggunakan desain penelitian dengan pendekatan yuridis normatif, jenis penelitiannya kualitatif (qualitative research), secara eksklusif (content analysis) dan teknik pengumpulan data melalui dokumentasi. Hasil dari penelitian penulis yaitu pada proses persidangan majelis hakim Mahkamah Syar’iyah Kota Banda Aceh menolak gugatan tergugat disebabkan tidak terbukti pihak tergugat melakukan wanprestasi dan secara tegas menolak seluruh tuntutan pihak penggugat atas perjanjian pembiayaan murabahah bi al-wakalah telah dilaksanakan sepenuhnya oleh pihak tergugat, dan seluruhnya sesuai dengan kesepakatan yang dimuat dalam perjanjian tersebut. Namun dalam putusan ini ada bagian yang tidak terungkap terutama pada alasan pihak tergugat yang secara langsung telah menyalurkan pembiayaan tahap kedua kepada pihak developer seharusnya berdasarkan akad perjanjian pencairan tahap kedua tersebut tetap harus dilakukan pihak nasabah debitur. Dengan demikian putusan yang dibuat majelis hakim ini masih perlu ditinjau ulang terutama mengungkap fakta terjadinya pentransferan dana tahap kedua langsung kepada pihak developer sebelum rumah yang diorder nasabah debitur selesai dibangun dan diserahkan kepada pihak penggugat.
KONTEKSTUALISASI MAKNA SENIF RIQAB DALAM PERSPEKTIF ULAMA KONTEMPORER
Authors: Musa Armiadi
Published: June 2024

Sebagian Ulama Kontemporer seperti Mahmud Syaltut, memandang bahwa perbudakan yang dimaksudkan  dalam al-Quran surat at-Taubah ayat 60, sudah tidak ditemukan lagi faktanya di dunia sekarang ini, karena itu penafsiran riqab perlu diperluas tidak hanya menyangkut pembebasan budak tetapi juga  upaya membebaskan negara-negara yang masih dikuasai negara lain yang bertindak dzalim baik secara politik, ekonomi, maupun ideologis. Negara-negara seperti ini masuk dalam cengkeraman perbudakan dan mengekang kebebasan warganya yang berdampak pada aspek kemanusiaan secara global  lebih mengerikan daripada sekedar perbudakan hamba sahaya. Dengan demikian terma riqab tidak lagi harus dipahami secara literal, karena riqab dalam konteks budak sudah tidak relevan lagi. Namun jika ‘illat yang ada dalam pemikiran ulama dipertimbangkan dan disesuaikan dengan keadaan sekarang, maka riqab dikontekstualisasikan pemaknaanya agar sesuai dengan kondisi sekarang. Menurut al-Qurthubi dan Muhammad Rasyid Rida, terkait membebaskan bangsa yang terjajah dengan zakat, Rasyid Rida berpendapat dibolehkan sekiranya tiada lagi keperluan untuk menebus kemerdekaan hamba sahaya secara individu. Beliau mengemukakan bahwa bagian  senif riqab boleh dipergunakan untuk membantu sesuatu bangsa yang ingin melepaskan dirinya dari penjajahan, apabila tidak ada sasaran membebaskan, perorangan. Adapun Yusuf Qardhawi cenderung menyatakan bahwa tidak perlu memperluas pengertian kalimat yang madlul aslinya tidak menunjukkan demikian, sebab menolong bangsa yang sedang memperjuangkan kemerdekaannya, merupakan tanggungjawab Bersama, bukan membebankan bantuannya pada dari senif zakat.  Riqab pada konteks kekinian, khususnya di Indonesia dan Malaysia dapat disamakan dengan human trafficking atau perdagangan orang., sehingga direkomendasikan kepada Lembaga-lembaga keamilan dapat membebaskan mereka dari perbudakan modern.
A Comparative Analysis of XGBoost and LightGBM Approaches for Human Activity Recognition: Speed and Accuracy Evaluation
Authors: Türkmen Güzin , Sezen Arda
Published: June 2024

Human activity recognition is the process of automatically identifying and classifying human activities based on data collected from different modalities such as wearable sensors, smartphones, or similar devices having necessary sensors or cameras capturing the behavior of the individuals. In this study, XGBoost and LightGBM approaches for human activity recognition are proposed and the performance and execution times of the proposed approaches are compared. The proposed methods on a dataset including accelerometer and gyroscope data acquired using a smartphone for six activities. The activities are namely laying, sitting, standing, walking, walking downstairs, and walking upstairs. The available dataset is divided into training and test sets, and proposed methods are trained using the training set, and tested on the test sets. At the end of the study, 97.23% accuracy using the LightGBM approach, and 96.67% accuracy using XGBoost is achieved. It is also found that XGBoost is faster than the LightGBM, whenever the execution times are compared.
A IMPORTÂNCIA DA MATEMÁTICA FINANCEIRA NO ENSINO FUNDAMENTAL II
Authors: Lopes Joao Paulo Silva , Melo Ângelo Gomes de , Reis Cátia Caixeta Guimarães
Published: June 2024

A matemática financeira se faz presente diariamente em várias situações do nosso cotidiano, seja na vida de uma criança a de um idoso. A imprensa enche os cidadãos diariamente de informações sobre os impostos, taxas e contribuições, por isso é importante ter consciência dos tributos que incidem sobre os preços das mercadorias, dos serviços privados ou públicos e das contribuições a que todo cidadão está sujeito a prestar. O objetivo do trabalho foi mostrar a importância de estudar a Matemática Financeira no Ensino Fundamental II, buscando analisar como o conteúdo deve ser transmitido, para que o aluno seja capaz de diagnosticar, refletir e resolver problemas financeiros cotidianamente. A metodologia de pesquisa deste trabalho, foi feita por meio de pesquisas e consultas a materiais disponíveis em sites, artigos, livros, monografias e dissertações a respeito de Matemática Financeira, também foram consultados documentos como os PCNs - Parâmetros Curriculares Nacionais, Lei de Diretrizes e Base e a Base Nacional Comum Curricular no Ensino Básico. Foi aplicado um questionário para identificar como está sendo trabalhada a Matemática Financeira em sala de aula e quais recursos pedagógicos a professora tinha a sua disposição, dentre outras informações relevantes para a pesquisa. Os principais resultados obtidos durante a realização do trabalho, pôde-se notar que iniciar a educação financeira desde a infância juntamente com as demais disciplinas curriculares na escola, sem dúvida faz com que o aluno ao chegar à vida adulta tenha facilidade em lidar com as finanças pessoais e assim ter uma vida mais estável financeiramente. Claramente foi possível notar que muito mais do que a demonstração e dedução de fórmulas, a Matemática Financeira pode ser usada como uma ferramenta para tomada de decisões no meio em que os alunos convivem.
Boosting Cancer Dataset Performance with Mutual Information-Based Feature Prioritization
Authors: Chin Fung Yuen , Goh Yong Kheng
Published: June 2024

In the field of statistical modelling, mutual information is a crucial and common concept, suitable for tasks such as selecting the most important features or classifying data into different categories. Feature selection addresses the challenge of high-dimensional data in building effective predictive models by identifying relevant attributes while mitigating the curse of dimensionality. Previous studies have benchmarked the effectiveness of statistical models against established results. To enhance this, a new benchmark method is proposed, exploiting ranking features via mutual information scores. Mutual information score is used to understand the relationship between underlying data and variables. The performance of the classification depends on its information content, which directly affects the performance of the statistical model. The technique simultaneously determines the optimal feature quantity to guide the feature selection process. The validation of these selected features is conducted through Z-score graphs. Experimental results show that this method can identify feature subsets better than using the full features. This advance promises to improve cancer analysis, enabling more sophisticated diagnostic and prognostic methods.
Multicollinearity in Binomial Regression: A comparison between CERES and PR Plots for detection
Authors: saleem Nasir Saleem , Akbar Atif , Imon A. H. M. Rahmatullah , khan Javaria Ahmad
Published: June 2024

For identification of multicollinearity, residuals are most common tool in linear regression model, but a limited literature is available which describe this situation in case of GLM. Binomial regression model has extensive applicability in analyzing with heart disease and many other types of data. Here, we have offered a comparison between CERES and PR plots in BRM to detect the multicollinearity problem. At first, we have developed a comparison tool and then apply them to real-world and simulated data. We examine and compare these plots on the detection of a possible multicollinearity separately and observe that the performance of CERES plot is better than compare to the PR plots.