bluuebunny/crossref_metadata_2025 huggingface dataset:
In Defence of Environmental Anthropocentrism
Authors: Plašienková Zlatica , Smolková Eva
Published: May 2024

The critique of anthropocentrism has accompanied environmental thinking since its inception. However, we lack a deeper analysis of anthropocentrism and its forms. The authors of this study concentrate on analysing selected forms of anthropocentrism that were prominent in different periods of the history of European culture. They offer a basic typology of anthropocentrism and characterize philosophical, religious, philosophical-theological and philosophical-scientific anthropocentrism. They also include a fifth form of anthropocentrism, which they call environmental anthropocentrism. The authors consider changes that are important from a philosophical, ethical and axiological perspective and analyse the potential of anthropocentrism in comparison with some of environmental anthropocentrism its alternative forms, such as biocentrism and cosmocentrism. They also attempt to assess the significance of environmental anthropocentrism and the potential for its implementation in human-environmental relations. The environmental anthropocentrism proposed here is a potential solution with applicability to the search for a moderate, humble, non-arrogant, respectful and responsible human approach to relations with nature.
CEZAEVİNDE KALAN TUTUKLU VE HÜKÜMLÜLERDE UYKU KALİTESİNİ ETKİLEYEN FAKTÖRLER
Authors: Bulut Nurettin , Tuncer Özge
Published: May 2024

Amaç: Bu çalışmada, bir ceza infaz kurumunda kalan tutuklu ve hükümlülerin, depresyon ve uyku kalitesi durumları ve uyku kalitesini etkileyen parametrelerin belirlenmesi amaçlanmıştır.
Yöntem: Kesitsel tipte olan bu araştırma, aile hekimliği birimi sorumluluk alanında olan Bergama M Tipi Kapalı Ceza İnfaz Kurumu’nda Ocak 2022- Mart 2022 tarihleri arasında gerçekleştirilmiştir. Katılımcılara sosyodemografik özelikleri ile ilgili anket, Beck Depresyon Ölçeği (BDÖ) ve Pittsburgh Uyku Kalite İndeksi (PUKİ) uygulanmıştır.
Bulgular: Bu çalışmada, 75’i (%21,2) tutuklu, 278’i (%78,8) hükümlü olan toplam 353 erkek katılımcının sonuçları değerlendirilmiştir. Kişilerin yaş ortalaması 38,16 ± 11,36 yıldır. Kişilerin %36,5’i evli ve %9,1’i üniversite mezunudur. Kişilerin %52,4’ü ceza infaz kurumuna girmeden önce alkol kullandığını, %70’i sigara içtiğini, %20,4’ü madde kullandığını belirtmiştir. Katılımcıların %36’sında en az bir kronik hastalık vardır. Kişilerin %22,7’si daha önce psikolojik destek aldığını ifade etmiştir. En sık tutukluluk / hükümlülük nedenleri %24,6 cinayet, %21,5 hırsızlık/gasp ve %17,8 uyuşturucu ticaretidir. Kişilerin BDÖ puan ortalaması 16,03±13,73, toplam PUKİ puan ortalaması 7,44±4,43’dür. Katılımcıların %39,4’ünün depresyon semptomu yaşadığı, %58,1’inin ise uyku kalitesinin kötü olduğu belirlenmiştir. Katılımcıların tutuklu olması (OR: 2,165 [1,177 - 3,981], p = 0,013), madde kullanım öyküsü olması (OR: 2,155 [1,117 - 4,160], p = 0,022), psikolojik destek alması (OR: 2,710 [1,414 - 5,197], p = 0,003) ve depresyon semptomu varlığının (OR: 3,602 [2,150 - 6,033], p<0,001) diğer değişkenlerden bağımsız olarak uyku kalitesinin kötü olması açısından risk faktörleri olduğu belirlenmiştir
Sonuç: Ceza infaz kurumunda kalan her 5 suçludan yaklaşık 2’sinde depresyon semptomu olduğu, yaklaşık 3’ünde ise uyku kalitesinin kötü olduğu belirlenmiştir. Katılımcıların tutuklu olması, psikolojik destek alması, madde kullanım öyküsü ve depresyonun olması uyku kalitesini olumsuz etkilediği görülmüştür.
User-Centered Design for Designing and Evaluating a Prototype of a Data Collection Tool to Submit Information About Incidents of Violence Against Sex Workers: Multiple Methods Approach
Authors: Ditmore Melissa H , Florez-Arango Jose Fernando
Published: May 2024

Background

Sex workers face an epidemic of violence in the United States. However, violence against sex workers in the United States is underreported. Sex workers hesitate to report it to the police because they are frequently punished themselves; therefore, an alternative for reporting is needed.

Objective

We aim to apply human-centered design methods to create and evaluate the usability of the prototype interface for ReportVASW (violence against sex worker, VASW) and identify opportunities for improvement.

Methods

This study explores ways to improve the prototype of ReportVASW, with particular attention to ways to improve the data collection tool. Evaluation methods included cognitive walkthrough, system usability scale, and heuristic evaluation.

Results

End users were enthusiastic about the idea of a website to document violence against sex workers. ReportVASW scored 90 on the system usability scale. The tool scored neutral on consistency, and all other responses were positive toward the app, with most being strong.

Conclusions

Many opportunities to improve the interface were identified. Multiple methods identified multiple issues to address. Most changes are not overly complex, and the majority were aesthetic or minor. Further development of the ReportVASW data collection tool is worth pursuing.
Evaluation of ChatGPT-Generated Differential Diagnosis for Common Diseases With Atypical Presentation: Descriptive Research
Authors: Shikino Kiyoshi , Shimizu Taro , Otsuka Yuki , Tago Masaki , Takahashi Hiromizu , Watari Takashi , Sasaki Yosuke , Iizuka Gemmei , Tamura Hiroki , Nakashima Koichi , Kunitomo Kotaro , Suzuki Morika , Aoyama Sayaka , Kosaka Shintaro , Kawahigashi Teiko , Matsumoto Tomohiro , Orihara Fumina , Morikawa Toru , Nishizawa Toshinori , Hoshina Yoji , Yamamoto Yu , Matsuo Yuichiro , Unoki Yuto , Kimura Hirofumi , Tokushima Midori , Watanuki Satoshi , Saito Takuma , Otsuka Fumio , Tokuda Yasuharu
Published: May 2024

Background

The persistence of diagnostic errors, despite advances in medical knowledge and diagnostics, highlights the importance of understanding atypical disease presentations and their contribution to mortality and morbidity. Artificial intelligence (AI), particularly generative pre-trained transformers like GPT-4, holds promise for improving diagnostic accuracy, but requires further exploration in handling atypical presentations.

Objective

This study aimed to assess the diagnostic accuracy of ChatGPT in generating differential diagnoses for atypical presentations of common diseases, with a focus on the model’s reliance on patient history during the diagnostic process.

Methods

We used 25 clinical vignettes from the Journal of Generalist Medicine characterizing atypical manifestations of common diseases. Two general medicine physicians categorized the cases based on atypicality. ChatGPT was then used to generate differential diagnoses based on the clinical information provided. The concordance between AI-generated and final diagnoses was measured, with a focus on the top-ranked disease (top 1) and the top 5 differential diagnoses (top 5).

Results

ChatGPT’s diagnostic accuracy decreased with an increase in atypical presentation. For category 1 (C1) cases, the concordance rates were 17% (n=1) for the top 1 and 67% (n=4) for the top 5. Categories 3 (C3) and 4 (C4) showed a 0% concordance for top 1 and markedly lower rates for the top 5, indicating difficulties in handling highly atypical cases. The χ2 test revealed no significant difference in the top 1 differential diagnosis accuracy between less atypical (C1+C2) and more atypical (C3+C4) groups (χ²1=2.07; n=25; P=.13). However, a significant difference was found in the top 5 analyses, with less atypical cases showing higher accuracy (χ²1=4.01; n=25; P=.048).

Conclusions

ChatGPT-4 demonstrates potential as an auxiliary tool for diagnosing typical and mildly atypical presentations of common diseases. However, its performance declines with greater atypicality. The study findings underscore the need for AI systems to encompass a broader range of linguistic capabilities, cultural understanding, and diverse clinical scenarios to improve diagnostic utility in real-world settings.
A Study of College English Curriculum under the Guidance of the Core Concepts of Professional Certification—A Case Study of Baoding University
Authors: Li Xuwei , Fu Huijun
Published: May 2024

With the continuous proceeding of professional certification in colleges and universities, college English, as a compulsory course for almost all majors, is an indispensable part of the process. This paper discusses how college English should take advantage of professional certification and build a diversified curriculum system under the guidance of the three core concepts of professional certification: “student-centered”, “outcome-oriented” and “continuous improvement”, and actively carries out reforms from the aspects of curriculum objective setting, teaching objects classification, classroom teaching activity reform, quality control system building etc. It is expected to play a positive and supporting role in the professional certification of colleges and universities, and help each major to meet the standards in the normal major certification and engineering major certification.
Sensation Seeking and Impulsivity Among Young Adults: Predictors of Risky Behavior
Authors: Nikhila T L , Sivakumar Prof. Pavana
Published: May 2024

Abstract: This study examines the relationship between sensation seeking, impulsivity, and engagement in risky behaviors among young adults. 220 individuals, aged 18 to 25, filled out self-report questionnaires measuring their , sensation seeking (Brief Sensation Seeking Scale), impulsivity (Barratt Impulsiveness Scale), and risky behavior engagement (Risk Taking Questionnaire). Correlation analysis and Regression were used to examine the predictive power of impulsivity and sensation seeking for engaging in risky behavior. Mann Whitney U Test was conducted to check the gender differences in sensation seeking and impulsivity. The results show strong positive associations between sensation seeking, impulsivity, and engaging in risky behaviors. Among young adults, sensation seeking and impulsivity are important predictors of engaging in risky behavior. indicating that a higher levels of sensation seeking and impulsivity is associated with a greater chance of young people engaging in risky behaviors. In contrast to females, males were more inclined to seek out sensations. Impulsivity, however, didn't show any apparent gender differences among Young Adults. These findings highlight the importance of understanding how personality factors influence behavior and provide guidance for focused interventions meant to lower risky behaviors in this population.
Home Automation using Android App
Authors: Barve P. , Goyal Sanket
Published: May 2024

Abstract: The rapid expansion of smart technology has changed many aspects of daily life, with home automation taking the lead. This study examines the creation, advancement, and deployment of a Bluetooth-based home automation system. Utilizing a microcontroller, the system enables seamless communication between household appliances and user-controlled devices. By integrating Bluetooth communication protocols, users can manage and monitor their home environment from a distance, enhancing convenience, efficiency, and energy conservation. The document delves into system architecture, hardware elements, software algorithms, and user interface design, providing insights into the technical aspects of the configuration. It also covers practical considerations such as security protocols and scalability to ensure a stable and reliable operation. Through experimental outcomes, the efficacy and usability of the proposed home automation solution are illustrated, demonstrating its potential to transform traditional houses into intelligent, interconnected ecosystems. This research contributes to the existing knowledge in home automation and serves as a valuable resource for researchers, professionals, and enthusiasts keen on exploring the capabilities of Bluetooth technology to enhance everyday living experiences.
Crop Recommendation System Using Machine Learning
Authors: Agarwal Ankush , Sharma Himanshu , Deshraj  , Maan Mr. Amit
Published: May 2024

Abstract: This study describes how machine learning techniques were used to successfully construct a crop recom- mendation system. With an emphasis on maximizing resource utilization and advancing agricultural sustainability, the system is a useful tool for helping farmers choose their crops. The system delivers customized crop suggestions by ana- lyzing multiple aspects, including soil conditions and climate, by utilizing machine learning algorithms and incorporating real-time data. This novel strategy seeks to improve farming methods by giving farmers customized insights that help them make more effective and sustainable farming decisions
Advanced Wireless Transmission Using NGROK
Authors: Karunamurthy Dr. A. , K Keerthana. , A Suganthi.
Published: May 2024

Abstract: This project explores the feasibility and practicality of accessing home appliances remotely from anywhere in the world using Ngrok, a secure tunneling service. Leveraging Ngrok's capabilities, users can control various home appliances via the internet, enhancing convenience and accessibility. The study investigates the efficiency and security aspects of such remote access, aiming to provide insights into the potential of Ngrok for widespread adoption in smart home systems. Additionally, considerations are made towards cost-effectiveness and scalability to ensure accessibility to a broad user base.
Drive Alert Solutions Synopsis
Authors: Dhaygude Hanumant , Lokhande Pranay , Shaikh Ayesha , Suryawanshi Pruthaviraj , Naware Prof. Rahul
Published: May 2024

Abstract: In today's technological landscape, "Safety First: Drive Alert" pioneers a novel approach to enhance road safety by integrating AI and real-time data analysis. Developed with Flutter and advanced machine learning algorithms, this solution serves as a proactive tool for tracking driver locations and identifying high-risk accident-prone areas. With two-level alerts at 500m and 200m, it offers early warnings to drivers, mitigating potential hazards and preventing accidents. This innovation not only delivers critical real-time information to drivers but also signifies technology's transformative potential in addressing safety issues. By promoting a safer driving environment, it embodies innovation's ethos and underscores technology's role in protecting lives on the road
Naive Bayes - Random Forest Ensemble Model Analysis and Heart Disease Prediction
Authors: Bybin Nivyn , Gopan Parvathy , K Ramkrishna , Jimmy Ryan Sebastain , Eldho Anu , Meckmalil Rotney Roy
Published: May 2024

Abstract: The critical task of accurately diagnosing heart disease can potentially save lives. Leveraging the UCI machine learning heart disease dataset and employing ensemble machine learning techniques, including Gausian Naive Bayes and Random Forest algorithms, the research investigates 13 primary characteristics to predict heart disease risks. The conventional machine learning approaches are utilized to analyze the dataset, unveiling correlations between features and heart infection risks. The aim is to develop a user-friendly interface, the Heart Disease Clinical Decision Support System (HDCDSS), where patients input their clinical details to receive a predictive analysis of their coronary disease. The system, built in Python with Flask and Bootstrap, provides clients with personalized reports on their heart health, enhancing diagnostic accuracy and potentiallystreamlining healthcare processes.
The Impact of Social Media on Consumer Behavior and Purchasing Decisions in the Fashion Industry
Authors: Johari Diwakar Ray , Prashath Dr. R. Thanga
Published: May 2024

Abstract: The present study aims to examine the noteworthy impact of social media platforms on customer behavior and purchase decisions in the ever-changing fashion business. Fashion marketers now need to grasp how social media usage affects consumer behavior due to its exponential expansion worldwide, especially among fashion-conscious populations. This study investigates the complex relationship between social media involvement and several aspects of consumer behavior, such as brand awareness, brand loyalty, buy intentions, and actual purchase behavior. It does this by conducting a thorough review of the existing literature and doing empirical analysis. Additionally, the study explores the ways in which brand advertising, influencer endorsements, and user-generated material on social media influence customer perceptions and preferences in the fashion industry. This study integrates theoretical understandings with real-world applications is to offer insightful information to fashion firms and marketers who want to improve their social media tactics and gain a competitive edge in a sector that is becoming more and more digital
Preperation of Sambhar Premix
Authors: Uttarwar Gauri Kishor , Kailaswar Tanvi Santosh , Gandratwar Rohit Kishor , Salunke Bhushan Baban , Korde Divya , Watkar Prashant
Published: May 2024

Abstract: A sambhar premix is a convenient blend of dry spices and lentils essential for preparing the popular South Indian dish, sambhar. Comprising roasted and ground ingredients like lentils (toor dal, masoor dal), spices (coriander, cumin, fenugreek, mustard seeds), dried red chilies, and aromatics (turmeric, asafetida, curry leaves); this premix offers a quick solution to recreate the flavorsome and aromatic sambhar. When stored in an airtight container, this premix maintains its freshness, making it a time-saving and versatile addition to various culinary creations. masala development process would highlight the key steps and considerations in creating this traditional South Indian spice blend. It would cover aspects suchas ingredient selection, proportioning, grinding techniques, and the preservation methods employed. Additionally, the abstract might touch upon the cultural significance of masala and its role in enhancing the flavor profile of the iconic dish. This abstract delves into the historical evolution of masala, exploring its traditional ingredients and tracing the development of a premix. The document outlines the meticulous method of preparation for the premix, emphasizing key steps such as ingredient selection, proportioning, and grinding techniques. Additionally, it includes a comprehensive cost analysis of the production process. Proximate testing is employed to evaluate the nutritional composition of the masala, shedding light on itsdietary implications. This abstract aims to provide a holistic overview of the masala development process, combining historical context, preparation methodology, cost considerations, and nutritional insights. This detailed abstract explores the rich history, intricate ingredients, and methodical preparation of masala powder, with a focus on developing a premix. The historical analysis delves into the origins and evolution of the spice blend, highlighting the regional variations and cultural significance associated with its use in South Indian cuisine. The document provides a comprehensive overview of the ingredients, emphasizing the selection of authentic spices crucial to achieving the distinctive flavor profile. The method of preparation for the premix is detailed, encompassing precise measurements, grinding techniques, and the blending process to ensure consistency and optimal flavor infusion. A meticulous cost analysis is presented, covering raw materials, processing expenses,and packaging costs, offering insights into the economic feasibility of producing masala on a larger scale. Furthermore, proximate testing is employed to assess the nutritional composition, detailingthe macronutrient and micronutrient content, contributing to a comprehensive understanding of the spice blend's dietary implications. This abstract aims to serve as a comprehensive reference, encapsulating the historical, culinary, economic, and nutritional dimensions of masala powder and its premix variant.
Preparation of Bajra Healthy Wafers
Authors: Dhankute Akshay Subhash , Baghele Sachin Hemraj , Pote Arpit Gajanan , Waghmare Siddhant Chandrabhan , Pustode Lilesh Hiwaraj , Watkar Prashant
Published: May 2024

Abstract: Bajra, also known as pearl millet, is a versatile grain rich in essential nutrients and dietary fiber. The incorporation of bajra into snack production, particularly in the form of wafers, presents a promising avenue for creating healthier snack alternatives. Bajra-based wafers offer a blend of taste, crunchiness, and nutritional benefits, catering to the growing demand for wholesome snacks in today's health-conscious society. This abstract explores the development and nutritional aspects of bajrabased wafers, highlighting their potential as a nutritious snack option. The process involves carefully selecting high-quality bajra grains, milling them into flour, and blending them with complementary ingredients to create a crispy, flavorful snack. These wafers not only provide a delightful eating experience but also offer numerous health benefits due to bajra's inherent nutritional profile. The nutritional analysis reveals that bajra wafers are an excellent source of complex carbohydrates, dietary fiber, protein, and essential minerals such as iron and magnesium. Additionally, they are gluten-free, making them suitable for individuals with gluten sensitivities or celiac disease. The inclusion of bajra in snack form contributes to a balanced diet, aiding in weight management and promoting digestive health. Sensory and microbial analyses were conducted to evaluate the product's attributes and safety. The proximate analysis revealed key nutritional parameters such as moisture content (68.8%), total fats (15.55g/200g), protein (9g/200g), carbohydrates (20.2g/200g), crude fiber (6g/200g), ash content (15.34), calcium (234.5mg/200g), and iron (9.425mg/200g). The microbial load was found to be within acceptable limits. Organoleptic assessment, encompassing attributes like color, flavor, texture, taste, and odor, indicated favorable reception by panelists, garnering a high rating score of 8. A packaging solution was chosen based on considerations of product properties and shelf-life requirements, with the product exhibiting a shelf life of 2 to 3 months from the manufacturing date. In conclusion, the developed product offers a nutrient-rich, fiber- and protein-packed snack alternative, catering to health-conscious consumers.
Virtual try-on using Open-CV
Authors: Antad Prof. Dr. Sonali , Bardekar Vincent , Damre Ganesh , Chule Bhumika , Dhurve Durgesh
Published: May 2024

Abstract: Virtual Try-On (VTO) technology has drawn a lot of interest recently as a potentially effective way to improve online shopping experiences, eliminate the need for in-person trials, and raise consumer happiness. This report provides a comprehensive analysis of the state-of-the-art methods, challenges, and possible future opportunities in the virtual try-on industry. In the future, consider integrating augmented reality (AR) for real-time virtual fitting in physical environments, deep learning to improve the accuracy of cloth simulation, and effortlessly creating an effective and user-friendly VTO system for users to boost customer satisfaction. With aim to create a reliable e-commerce platform that will enable customers to try on clothing wherever they are, whenever they like, with the necessary privacy and security. The report concludes by emphasizing the transformative potential of VTO in transcending temporal and spatial constraints, presenting a vision where customers can try on clothing at their convenience. This vision aligns with the overarching goal of creating a reliable e-commerce platform that not only meets but exceeds customer expectations, thus setting a new standard in the online shopping landscape. The findings and recommendations herein provide a roadmap for industry stakeholders to navigate the challenges, seize opportunities, and collectively usher in a new era of online retail.
Title- Digital Ad-fluence: Unravelling the Influence of Online Ads on Consumer Inclinations
Authors: Chopra Divija
Published: May 2024

Abstract: This dissertation investigates the influence of online advertising on consumer inclinations and purchasing behaviour in the digital age. As marketing efforts increasingly shift toward digital platforms, understanding the complex dynamics between online advertisements and consumer decision-making processes has become crucial. The study aims to unravel the intricate relationship between these two elements, providing insights into how online ads shape consumer preferences, attitudes, and purchasing decisions. The research employs a mixed-method approach, combining quantitative data from a survey of 100 respondents with a qualitative review of relevant literature spanning the past 10-20 years. The survey data offers valuable insights into consumers' perceptions, attitudes, and experiences with online advertising, while the literature review provides a comprehensive understanding of the theoretical underpinnings and empirical findings from prior research. Through factor analysis, the study identifies three key dimensions that collectively explain a significant portion of the variance in consumer behaviour toward online advertisements: the influence of price discounts, satisfaction and engagement levels, and the visual appeal of advertisements. These findings shed light on the critical factors that drive consumer responses to digital marketing campaigns. The dissertation contributes to the growing body of knowledge in digital marketing and consumer behaviour, offering practical implications for businesses and marketers seeking to navigate the ever-evolving landscape of online advertising. By uncovering the underlying mechanisms through which online ads influence consumer inclinations, this research provides valuable insights for developing effective digital marketing strategies that resonate with target audiences and contribute to business success in the digital era
3-Level Password Authentication System
Authors: Kumbhar Nikhil K. , Lengare Mahesh M. , Kambale Swapnil R. , Kotmire Rahul S. , Suryawanshi Prof. R. K.
Published: May 2024

Abstract: The project is an authentication system that allows users to access the system only if they have entered the correct password. The project includes three levels of user identification. while some took them to their limits. In short, almost all passwords available today can be cracked to some degree. Therefore, this project aims to achieve maximum security in user authentication. Includes three logins with three different password systems. Password difficulty increases with each level..
Comparative Analysis of Framed-Tube & Braced-Tube System in Tall Buildings Using ETABS
Authors: Madhubhai Gamit Gauravkumar , Naik Mr. Sagar
Published: May 2024

Abstract: Since the rigid frame became popular in the first half of the 20th century, tall buildings with structural systems have evolved. The development of underlying frameworks for tall structures lays on reasonable realism, economy of material utilization, effortlessness and polish, and worry for constructability. We are now able to build buildings that are ever higher thanks to cutting-edge building materials, sophisticated computational software, and sturdy structural systems. The rationale behind the creation of structural systems for tall buildings is to achieve architectural expression, ensure safety and serviceability, and make rational and effective use of materials. The use of composite structures, which combine the advantages of various materials, has been the trend in structural systems for tall buildings. In both static and dynamic conditions, these high-rise structures ought to be able to withstand a variety of lateral loads, such as wind load and earthquake load. This study examines the responses of the Framed Tube, Braced Tube, structural systems to various parameters such as Story displacement, Story drift, Story shear, and time period. The analysis focuses on 60-story structures situated in Seismic Zone III with medium soil conditions. The static analysis of the structures is conducted using the linear static method, which involves wind load calculations using the force coefficient method. On the other hand, the dynamic analysis is performed using the response spectrum method, with wind load calculations carried out using the gust factor calculation method.
A Study on E-Payment Applications used by Online Customers
Authors: Soren Rima Gladis
Published: May 2024

Abstract: Mobile payment apps, being digital in nature, facilitate convenient transactions and money transfers. Customers derived advantages from the implementation of various payment systems. Several e-payment applications, including Google Pay, PhonePe, Paytm, and others, are utilized for UPI transactions. In recent years, there have been a lot more payment choices on the local market. This has led to a huge rise in the number of people using Internet-based payment apps. These payment apps create significant value and satisfaction. This study examines both the utilization and satisfaction of online customers utilizing payment applications. This study employs a descriptive research approach, utilizing a sample size of 100 customers to collect data from primary sources. In order to achieve this objective, sophisticated techniques like simple percentage analysis are utilised. The process of analysing and interpreting data is visually represented through the use of graphs and pie charts.
Development of Android App on Scheduling Payments and Financial Management of Workers in Construction Industry
Authors: Kumar Abhishek , Akshatha G , Moger Netravati V , Kotian Mr. Roshan S
Published: May 2024

Abstract: A innovation centralized platform designed specifically for labour payment to efficiently manage project management, labour payments and generate detailed financial reports. Mobile computing offers helps to construction workers improve efficiency and minimize the paper works. However, the uptake of the technology is quite low in the industry, with little research on key constraint factors and the priority needs of the construction workforce. In recent year mobile applications have become increasingly popular years and is expected to continue like that as all the tech is moving towards mobile. However, unfortunately, in the face of accelerating user demand, businesses are not validating that their apps are safe, secure and they are more dragged by the speed-to-market pressure as well as the need to maintain a high level of user experience. As the application contains all the payment information tedious writing work can be avoided on site. Just set the payment in the application and are free to go. Extensive time and effort are spent on inspecting and documenting of payments. Managing large number of projects with various subcontractors will be difficult. If the hard copy is lost, entire data set cannot be taken back. In financial updates client also face same problem, to get clients according to their requirements. To bridge this gap and to develop better connection between client, engineers and subcontractors, we need a platform. Project cost based on labour payments and payments pending can be accessed easily. Maintain a history of project payments, weekly payments balance payments tracker
Documentation Management System with PDF Chat
Authors: Devkate Vaibhav , Divekar Atharv , Hulmukhe Prasad , Randhir Om , Chowdhary Dr. Rajesh , Nilekar Prachi , Joshi Shushrut
Published: May 2024

Abstract:DMS represents the principle of software and hardware solutions that provide many capabilities including data storage, version control, metadata tagging, management and advanced search. These systems are essential tools for businesses, governm ent agencies, schools, doctors, professionals, and individuals looking to improve their information management strategies. By fa cilitating collaboration in the business environment to ensures data integrity and public compliance management, DMS has prov en to be relevant in many ways.DMS represents the principle of software and hardware solutions that provide many capabilities i ncluding data storage, version control, metadata tagging, management and advanced search. These are essential tools for busine sses, government agencies, schools, doctors, professionals, and individuals looking to improve their datas management strategies . To Build this system we have used ReactJS for frontend, NestJS for Backend, for Database we used PostgreSQL and for the PDF chat we used Langchain in Python.
Memoria Sonora Juvenil de la dictadura cívico-militar chilena.
Authors: Castañeda Meneses Patricia Lorena
Published: May 2024

El artículo presenta los resultados de una investigación orientada al rescate de la memoria sonora juvenil en el contexto de la dictadura cívico-militar chilena. Los resultados identifican las memorias sonoras asociadas al Canto Nuevo y al rock latino como experiencias generacionales enlazadas con los recuerdos de una vida cotidiana estrechamente custodiada y severamente limitada en su expresión musical. Esta base constituyó una unidad cultural de resistencia con himnos generacionales que trascienden el tiempo pasado y otorgan sentidos al tiempo presente, a través de la reactualización de una identidad juvenil que fue censurada, negada y estigmatizada por las autoridades dictatoriales.
Panambí-nº17-COMPLETO
Authors: Venegas Romero Pablo
Published: May 2024

Archivo de la versión completa del número 17 de nuestra publicación.
THE DIFFERENCES IN MEANING BETWEEN MUSLIM WOMEN'S MODEST CLOTHING AND WOMEN'S CLOTHING ADVERTORIALS
Authors: Adara Reza Anggriyashati , Fadliyah Annisa
Published: May 2024

Modest fashion has progressed positively in the last two decades. Designers and advertisers are trying to attract modest fashion’s consumers. One of the mediums to promote it is by advertorials. Analyzing words and phrases used in advertorials can help advertisers, practitioners and other concerned parties to understand how advertorials are written. Using Leech’s theory toward meanings, this study aimed to analyze and compare the differences between the advertorials of Muslim women modest clothing and women's clothing from semantic perspective. This study applied a descriptive qualitative approach by analyzing four advertorials of women’s modest, formal, and casual clothing. The results of this study show that the advertorials of modest clothing seem to use a thematic meaning by creating the images of comforted and elegant looking Muslim women in modest clothes. On the other hand, the advertorials of women’s formal and casual clothing look to portray the wearers as sexy and confident women. Although both types of advertorials give meanings with empowering themes, they explore different aspects of empowerment to give understanding toward their potential consumers.
Taming the acidity of Ni 2 P/Al 2 O 3 by Pt modification for ultra-deep hydrodesulfurization of diesel
Authors: Zhou Shuhu , Liu Yuanchen , Zhu Jingyi , Liu Feng , Liu Jiaxu , Cheng Huifang , Wu Peiwen , Li Huaming , Liu Jixing , Zhu Wenshuai
Published: May 2024

The design and development of hydrodesulfurization (HDS) catalysts with
superior catalytic activity for the conversion of refractory
organosulfur compounds has been highly desirable, but still remains
challenging in the petroleum processing field. Herein, a series of
Pt-triggered Ni P/Al O
catalysts were fabricated and examined for
4,6-dimethyldibenzothiophene (4,6-DMDBT) HDS. The loading of Pt
strengthened the interaction between the Pt and Ni P
and promoted the hydrogen atoms overflowing to the Ni P
surface due to the lower electronegativity of Pt compared to Ni, thereby
enhancing the number of Lewis and Brønsted acid sites and facilitating
the prehydrogenation and isomerization pathways, and thereafter
substantially boosting the HDS performances of Pt-Ni
P/Al O catalysts.
Therein, 5%Pt-Ni P/Al O
exhibited the optimal HDS performance with 97.1%
4,6-DMDBT conversion, remarkably higher than that of Ni
P/Al O (25.6%) and
the-state-of-the-art catalysts reported in literature due to its
moderate acidity and temperate interaction between Pt and Ni
P.
Adherence experts’ perspectives and experiences of educating healthcare professionals on medication adherence: A qualitative study
Authors: Rezae Fatima , Carter Stephen , Moles Rebekah , Kelly Ayano
Published: May 2024

Aim: Medication non-adherence is a global health problem affecting
patients with numerous medical conditions. Training healthcare
professionals (HCPs) on managing the challenging issue of medication
non-adherence requires an evidence-based approach. Therefore, we aimed
to describe the perspectives and experiences of adherence experts on
educating HCPs about medication adherence in order to guide the content
and delivery of medication adherence education to HCPs. Methods:
Semi-structured interviews were conducted online, face-to-face, and via
phone. Interviews were video or audio recorded and professionally
transcribed. Data was coded line by line into the preliminary coding
framework and analysed using inductive thematic analysis. Results:
Fifteen adherence experts were interviewed between May 2022 and March
2023. Five major themes with subthemes were identified: enhancing
awareness among HCPs, seeing life through the patient’s lens,
communicating to build empathy and rapport, having a structured approach
to address individual patient behaviours, and delivering enriching and
targeted training. Conclusion: Adherence experts emphasised the impact
HCPs can play by regularly addressing the pervasive issue of adherence
in their clinical setting. HCPs can elicit behaviour change by
understanding the patient’s perspective, the complexity of adherence,
and communicating effectively. Structured approaches include using
tools, frameworks, and communication methods. Continuous training that
is clinically relevant and builds on existing professional expertise is
required to overcome HCPs’ own barriers to behaviour change.The findings
of this study guide the content and delivery of medication adherence
education and training to HCPs.
An explainable machine learning-based approach for analyzing customers' online data to identify the importance of product attributes
Authors: Karimzadeh Aigin , Zakery Amir , Mohammadi Mohammad Reza , Yavari Ali
Published: May 2024

Online customer data provides valuable information for product design
and marketing research, as it can reveal the preferences of customers.
However, analyzing these data using artificial intelligence (AI) for
data-driven design is a challenging task due to potential concealed
patterns. Moreover, in these research areas, most studies are only
limited to finding customers’ needs. In this study, we propose a game
theory machine learning (ML) method that extracts comprehensive design
implications, which is more connect to customer needs and preferences.
The method first uses a genetic algorithm to select, rank, and combine
product features that can maximize customer satisfaction based on online
ratings. Then, we use SHAP (SHapley Additive exPlanations), a game
theory method that assigns a value to each feature based on its
contribution to the prediction, providing a guideline for assessing the
importance of each feature and its positive or negative influence on
overall satisfaction. We apply our method to a real-world dataset of
laptops from Kaggle, and derive design implications based on the
results. Our approach tackles a major challenge in the field of
multi-criteria decision making and can help product designers and
marketers, to understand customer preferences better with less cost and
effort. The proposed method outperforms benchmark methods in terms of
relevant performance metrics.
Shedding light on the therapeutic efficacy of oxygen-releasing gel and photodynamic therapy in the repair of periodontal tissue. A study in rats
Authors: Garcia Valdir Gouveia , Miessi Daniela Maria Janjácomo , Rocha Tiago Esgalha da , Gomes Natália Amanda , Rodrigues João Victor Soares , Ervolino Edilson , Freitas Rubens Moreno , Wainwright Mark , Molon Rafael S. de , Theodoro Letícia Helena
Published: May 2024

Adjunctive therapies to non-surgical periodontal treatment have
significant advantages in susceptible patients as it helps to modulate
the host immune response. In this study, we compare the effectiveness of
oxygen releasing gel (BM) alone, or associated with photodynamic therapy
(PDT), after scaling and root planning (SRP), as adjuvants in the
treatment of ligature-induced experimental periodontitis (EP) in rats.
Our findings indicate that treatment with BM, PDT, and BM+PDT groups at
both 7 and 30 days resulted in decreased alveolar bone destruction in
the furcation area of mandibular molars compared to the EP and SRP
groups. At 30 days, the PDT and BM+PDT groups enhanced the resolution of
inflammation by decreasing the inflammatory infiltrate and increasing
alveolar bone neoformation. Treatment with BM gel alone also improves
the repair of periodontal tissues but is less effective compared to PDT.
Finally, combining BM with PDT appears to diminish the effects of PDT.
Early COVID-19 XBB.1.5 vaccine effectiveness against hospitalisation among adults targeted for vaccination, VEBIS hospital network, Europe, October 2023--January 2024
Authors: Antunes Liliana , Mazagatos Clara , Martínez-Baz Iván , Naesens Reinout , Borg Maria-Louise , Petrovic Goranka , Fatukasi Terra , Jancoriene Ligita , Machado Ausenda , Oroszi Beatrix , Husa Petr , Lazar Mihaela , Dürrwald Ralf , Howard Jennifer , Melo Aryse , Pérez-Gimeno Gloria , Castilla Jesus , Bernaert Eva , Dziugyte Ausra , Makarić Zvjezdana Lovrić , Fitzgerald Margaret , Mickienė Auksė , Gómez Verónica , Túri Gergő , Součková Lenka , Marin Alexandru , Tolksdorf Kristin , Nicolay Nathalie , Rose Angela , Group on behalf of the European Hospital Vacci
Published: May 2024

We conducted a multicentre test-negative case-control study covering the
period from October 2023 to January 2024 among adult patients aged ≥18
years hospitalised with severe acute respiratory infection in Europe. We
provide early estimates of the effectiveness of the newly adapted
XBB.1.5 COVID-19 vaccines against PCR-confirmed SARS-CoV-2
hospitalisation. Vaccine effectiveness was 48% overall, ranging between
68% at 14–29 days and 40% at 60–105 days post vaccination. The
adapted XBB.1.5 COVID-19 vaccines conferred protection against COVID-19
hospitalisation in the first 3.5 months post vaccination, with VE
>70% in older adults (≥65 years) up to 1 month post
vaccination.
Defaunation is associated with increased fine-scale spatial genetic structure in a small-seeded palm despite high abundances of small-bodied seed dispersers
Authors: Lamperty Therese , Diaz-Martin Zoe , Swamy Varun , Karubian Jordan , Choo Juanita , Dunham Amy
Published: May 2024

Anthropogenic pressures such as hunting are increasingly driving the
localized functional extinctions of all or most large and medium-sized
wildlife species in tropical forests, a phenomenon broadly termed
defaunation. Concurrently in these areas, smaller-bodied wildlife
species benefit from factors such as competitive release and experience
population increases. This transformation of the wildlife community can
impact species interactions and ecosystem services such as seed
dispersal and seed-mediated geneflow with far reaching consequences.
Evidence for negative genetic effects following defaunation is
well-documented in large-seeded plants that require large frugivores for
long distance seed dispersal. However, how defaunation affects
small-seeded (< 1.5cm diameter) plants, which are dispersed by
frugivores with a wide range of body-sizes and responses to
anthropogenic threats, is not well understood. To better understand the
reach of defaunation’s impacts on tropical plant communities, we
investigated spatial and genetic patterns in a hyperabundant
small-seeded palm, Euterpe precatoria in three sites representing
distinct defaunation levels. We found significantly higher fine-scale
spatial genetic structure among nearest-neighbor seedlings in the
defaunated site and in the recovering, partially defaunated site
relative to the faunally-intact site. Defaunation was associated with
shorter distances between seedlings and adults and lower genetic
distance between adult and seedling cohorts. No effects were detected on
inbreeding and genetic diversity; however, we caution that trends we
detected indicate that defaunation influences the spatial distribution
of genetic variation even in small-seeded plants that inherently have a
broad suite of seed dispersal agents, and this could lead to negative
downstream effects on genetic diversity.
Profiling the organ membrane proteome dysregulation in the context of liver disease
Authors: Antony Frank , Brough Zora , Orangi Mona , Aoki Hiroyuki , Babu Mohan , Duong Franck
Published: May 2024

Alcohol consumption and high-fat diets often coincide in Western
society, exerting negative synergistic effects on the liver. While many
studies have demonstrated the impact of ALD and NAFLD on organ protein
expression, none have offered a comprehensive view of the dysregulation
at the level of the membrane proteome. In this study, we utilize
peptidisc and solvent precipitation (SP4) methods to isolate and compare
the membrane protein content of the liver with its unique biological
functions. Using mice treated with a high-fat diet and ethanol in
drinking water, we identified 1,563 liver proteins, with 46% predicted
to have a transmembrane segment. Among these, 106 integral membrane
proteins are dysregulated compared to the untreated sample. Gene
ontology analysis reveals several dysregulated membrane processes
associated with lipid metabolism, cell adhesion, xenobiotic processing,
and mitochondrial membrane formation. Pathways related to cholesterol
and bile acid transport are also mutually affected, suggesting an
adaptive mechanism to counter the steatosis of the liver model. Our
peptidisc-based membrane proteome profiling thus emerges as an effective
way to gain insights into the role of the transmembrane proteome in
disease development, warranting further in-depth analysis of the
individual effect of the identified dysregulated membrane proteins.
Habitat fragmentation strongly restricts gene flow in endangered ectomycorrhizal fungal populations: evidence from Rhizopogon togasawarius, specific to Pseudotsuga japonica, across the entire distribution range
Authors: Abe Hiroshi , Gan Lu , Murata Masao , Nara Kazuhide
Published: May 2024

Habitat fragmentation is a major driver of genetic differentiation and
genetic diversity loss in endangered species due to restricted gene
flow, genetic drift, and inbreeding. However, the impact on
ectomycorrhizal (ECM) fungi remains unexplored, despite their critical
roles in forest ecosystems. In this study, we investigated the
population genetic structure of the ECM fungus Rhizopogon
togasawarius, which specifically colonizes Pseudotsuga japonica
across its entire distribution range. Both symbionts are found only in
small, fragmented forests in Japan; they are designated as endangered
species on the IUCN Red List. We assessed the population genetic
structure of 236 R. togasawarius specimens collected from five
remaining populations, distributed in two regions separated by a sea
channel. Microsatellite analyses using 20 loci revealed strong genetic
differentiation among populations (F = 0.255),
even in the nearest population pair separated by a distance of only 8 km
(F = 0.075), indicating extremely limited gene
flow between populations. Population history analyses implied that
population divergence occurred approximately 2200 generations ago
between the two regions, and nearly 1000 generations ago between the
nearest populations within the Shikoku region. Because of prolonged
genetic isolation, significant inbreeding was confirmed in four of five
populations, where effective population sizes became very small
(Ne = 9.0–58.0). Although evaluation of extinction risks for
microorganisms is challenging, our conservation genetic results
indicated that habitat fragmentation increases extinction risk through
population genetic mechanisms, as demonstrated in plants and animals,
and therefore should not be overlooked in biodiversity conservation
efforts.