bluuebunny/crossref_metadata_2025 huggingface dataset:
Less-known pages of the history of Georgian-Baltic scientific relations: George Akhvlediani and Jānis Endzelīns
Authors: Javakhishvili Niko
Published: March 2024

Professor George Akhvlediani (1887-1973) was the great Georgian scholar with multiple interests. He worked in several areas of linguistic inquiry. He wrote major works on general linguistics, general and experimental phonetics, speech therapy, Indo-Europeanand Kartvelian languages, some of them being seminal. After having received higher education at Kharkiv and Petrograd universities, Akhvlediani returned to his homeland and became one of the founders of Tbilisi University (26/1/1918). He pioneered in such disciplines as general linguistics and general phonetics. He was in charge of the Department of General Linguistics which played a historical role in the emergence and development of the linguistics thought in Georgia. It should be noted that Jānis Endzelīns (1873-1961), the great Latvian philologist and linguist, immensely contributed to Akhvlediani’s training as a scholar. He has been aknowledged as a major expert of the Baltic languages and an ornament in the field of comparative-historical linguistics. George Akhvlediani was awarded a gold medal for his oeuvre “An essay of the history of liquid and nasal consonants in Sanskrit, Greek, Latin, and Slavic languages”. Professor Endzelīns wrote a comprehensive review on the work and highly appreciated it. George Akhvlediani always recalled the consideration and care shown by Jānis Endzelīns with great gratitude, evidenced by their correspondence. Five letters, sent by Endzelīns to Tbilisi, addressed to Akhvlediani, are kept in the Museum of Ivane Javakhishvili Tbilisi State University.
Negotiation Traps and Impasses: Lessons Learned from the Minsk Agreements
Authors: Bohinska Iryna
Published: March 2024

When do negotiators say „no” and refuse to reach peace agreements in armed conflicts, even if it may lead to a ceasefire? Empirical studies have predominantly focused on factors and techniques that facilitate the start of peace negotiations. Little is known about the reasons that motivate conflict parties to refuse to negotiate. This article offers a novel framework for analysis that explains how to avoid impracticable peace agreements. Using the case of the Minsk agreements, the article shows at least two ways: avoiding the agreement trap and negotiation impasse tactics. The Minsk agreements are a case in which a negotiated settlement is defined as a policy goal (agreement trap). The Minsk process is an example of a negotiating impasse created to avoid implementing a peace agreement disadvantageous to Ukraine.
Exclusive breastfeeding in preventing stunting in toddlers
Authors: Ode Novi Angreni Wa , Arda Darmi , Setyawati Ari , Sasmita Anggun , Aris Tyarini Indrawati , Nordianiwati Nordianiwati
Published: March 2024

Introduction: Exclusive breastfeeding during the first six months of a baby's life has been shown to have many health benefits, and one of them is that it can help prevent stunting in toddlers. Stunting is when a child's physical growth and brain development are hampered due to chronic malnutrition, especially protein, energy, and other essential nutrients.
Objective: Know the role of exclusive breastfeeding in preventing stunting in toddlers.
Methods: Type of quantitative analytical research with a case-control design using a retrospective approach. The population in this study was mothers who had toddlers aged 12–60 months, while the determination of subjects was based on simple random sampling techniques. The inclusion criteria were mothers with stunting toddlers aged 12–60 months and mothers willing to be respondents. The exclusion criteria are toddlers who suffer from chronic diseases and have a history of premature birth. The subjects in this study were 70 toddlers, consisting of 35 stunting toddlers as an intervention group and 35 non-stunting toddlers as controls.
Results showed that toddlers who were exclusively breastfed and stunted were 15 (42.9%), while toddlers who were not exclusively breastfed and stunted were 20 (57.1%). Bivariate analysis showed an association between exclusive breastfeeding and the incidence of stunting (p-value 0.030).
Conclusion: Exclusive breastfeeding can prevent stunting in toddlers. Exclusive breastfeeding can make a significant contribution to stunting prevention; other factors such as public health, sanitation, and access to nutrition also play an important role. Therefore, a holistic approach must be applied to support children's growth and development
Recommendations for the use of conservation detection dogs in seabird research: a thematic analysis
Authors: McKeague Beth , Chapman Simon , Cripps Rachel , González-Solís Jacob , Hartman Jennifer , Johnson Kyoko , Kerrigan Patrice , McClelland Gregory , Militão Teresa , Smith Heath , Finlay Caroline
Published: March 2024

Conservation detection dog handler teams (CDDHTs) offer many potential benefits to the world of conservation. Seabird populations are an important component of marine ecosystems. However, they are threatened by several anthropogenic activities, including the introduction of invasive species. Although CDDHT can support seabird conservation through invasive species management efforts and population assessments, they are under-utilised. A lack of methodological standardisation within CDDHT work and the under-publishing of their use within seabird research leads to difficulties in conducting new CDDHT seabird-related studies due to an inability to learn from previous research. This study aimed to address these shortcomings by investigating the techniques and methods used by those actively working with, or planning to work with, CDDHT on a seabird project to better understand them, and propose best practices in the field. Seven professionals who have used, or will use, CDDHT as part of a seabird project (four handlers, three ecologists/researchers) participated in structured written surveys which were thematically analysed. Five superordinate themes emerged from the survey data: Training, Location, Role of Handler, Wildlife Considerations, and Dog Selection Criteria, with the first two themes having several subordinate themes. A summary of best practices was developed from the findings, with notable recommendations including preparation across all project elements, networking with other professionals, and making judgments on the use of techniques like discrimination and field trials based on the specific project and dog(s). These results can serve to benefit future seabird studies involving CDDHT as well as supporting the development of standardisation in the CDDHT field.
ESTERCO ANIMAL COMO FONTE DE ENERGIA RENOVÁVEL
Authors: BARBOSA FLORES NAONI , MATTE MICHELE KUCHAR , OLIVEIRA NATHALIA ALVES DE , NOLASCO LORECI GOTTSCHALK
Published: March 2024

O descarte inadequado dos dejetos do meio rural, principalmente quando se trata de esterco bovino, cada vez mais torna-se um prejuízo para o meio ambiente, para a sociedade e a economia, tendo sua extensão no ordenamento jurídico. Animais bovinos emitem metano (CH4) – o gás de efeito estufa mais importante depois do dióxido de carbono (CO2), durante a digestão e pela degradação do esterco, além do consumo de fertilizantes nitrogenados, que emitem óxido nitroso (N2O), gás 265 vezes mais potente que o CO2 no aquecimento global. Mediante uso de tecnologias como o biodigestor anaeróbico que tem como função processar rejeitos animal como a combustão da biomassa, encontrada em resíduos rurais e urbanos, é possível obter a conversão de gás metano, em biogás, gerando energia térmica, elétrica ou mecânica, considerada uma das principais fontes com maior potencial para o futuro, por ser alternativa renovável. O estudo tem por escopo a realização de pesquisa exploratória e bibliográfica através do levantamento de dados encontrados na literatura, a fim de identificar quais benefícios a tecnologia do biodigestor anaeróbico apresenta para o desenvolvimento sustentável e, pari passu, cumpre com o preceito constitucional fundamental de promover um meio ambiente sadio e equilibrado para as presentes e futuras gerações.

Palavras-chave: Esterco animal. Impacto ambiental. Tecnologias de alternativas renováveis.
ARQUITETURA HOSTIL
Authors: BOLZAN AMARILHA NADINE , BALDIN LARA VIVIAN , CAPILÉ MARQUES THAISA , GARABINI VANIA MARA BASILIO
Published: March 2024

Arquitetura hostil é um método cruel de afastar pessoas pobres em situação de rua e “higienizar” as cidades, através da colocação de pontas de aços em degraus ou pedras embaixo de viadutos, lugares utilizados como cama para essas pessoas. O seguinte trabalho tem como objetivo apurar a utilização da arquitetura hostil no Brasil e, paralelamente, analisar o Estatuto da Cidade e a função social da propriedade. Foi possível concluir que uso da arquitetura de exclusão mostra que o Estatuto da Cidade, bem como a função social da propriedade fundamentada no Código Civil, não cumpre com o seu papel de garantir a todos da sociedade moradia digna e bem-estar.
TRIBUNAL DO JÚRI
Authors: FIGUEIRÓ BELLATO DEBORA , TURELLA ROGÉRIO
Published: March 2024

É indubitável que existe um ordenamento específico a ser seguido no âmbito jurídico. Porém, o que se nota é que em crimes dolosos contra a vida há uma diferenciação, pois são sentenciados por jurados leigos, isto é, cidadãos comuns que formam o Conselho de Sentença. Nisto, é perceptível que, como qualquer ser humano, os jurados já vem com suas convicções e ideologias para o Plenário. Por isso, vê-se a importância da análise sobre a influência que a mídia e os próprios operadores do Direito têm em conduzir a Sessão Plenária, haja vista que esses lados acabam por expor os fatos de forma parcial, pois estão em busca de um resultado, seja justo ou não. Como observado, também é visto a propagação da justiça nesses julgamentos, considerando os aspectos supracitados, pois há causas que não estão diretamente ligadas ao ordenamento jurídico e sim ao aspecto social dos jurados. No mais, é  explicitado o funcionamento do procedimento do tribunal do júri, as influências atuantes nele e as suas respectivas consequências.
Hygienic Determinism, Cultural Essentialism, and Public Health in Ecuador and Guatemala, 1900-1950
Authors: Carey Jr David
Published: March 2024

In Guatemala and Ecuador—two nations with large Indigenous populations—public health professionals and government officials attributed high incidences of infectious disease among indígenas (Indigenous people) to culture and customs rather than to structural determinants of abject poverty. Race played as much of a role as medical science in shaping how public health officials approached infectious-contagious diseases and the indígenas who contracted them in the first half of the twentieth century. To disparage indígenas and undermine their claims to citizenship, Guatemalan and Ecuadorian public health officials deployed cultural essentialism and hygienic determinism, by which I mean efforts to portray marginalized populations, particularly their practices and habits, as sources and propagators of diseases that compromise public health and ravage those same marginalizedpopulations.
Introducción
Authors:   Universidad Intercultural Maya de Quintana Roo, Castillo Cocom Juan A.
Published: March 2024

En 2023, recibí un correo de Quetzil Castañeda preguntándome sobre el significado de la palabra T’áalk’u: “Oye, por cierto, quiero saber qué quiere decir esa palabra que inventaste: T’áalk’u… The arrival of god? But arrive is tàal with unglottalized “t” so what is the first word? What does it mean I couldn’t find it in any dictionary? (¿La llegada de dios? Pero “llegar” se escribe taal con “t” normal; ¿qué significa la primera palabra?) No la he encontrado en ningún diccionario”.
La ortografía Maya, desde 1492 hacia 2024
Authors:   Indiana University, Castañeda Quetzil Eugenio
Published: March 2024

En las últimas décadas, empezando en el siglo pasado, varios gobiernos y sus colaboradores académicos han propuesto en diferentes ocasiones una sola ortografía para escribir maaya. Con muchas buenas intenciones se ha intentado crear una norma para la revitalización del idioma. Aun con estos esfuerzos no se ha podido definir una regla integra con aceptación universal por todos los escritores mayas y sus públicos. Además de que no hay una autoridad absoluta para dictaminar el escribir maaya, las normas en realidad son inadecuadas por su silencio en múltiples aspectos necesarios.
Le’ Xkampaal Iknalitica’o: Omni-Desvanecimiento y Omni-Existente
Authors:   University of Connecticut, Williams Sarah Anne
Published: March 2024

Basándose en quince años de trabajo con parteras en Quintana Roo y Yucatán, este capítulo examina cómo los medios de comunicación y los marcos gubernamentales consideran a la partería como una práctica indígena en vías de extinción al igual que sus practicantes, son un intento de naturalizar y despolitizar un proceso intencional de eliminación. Las narrativas estatales que presentan la partería como una tradición practicada únicamente por una cohorte fuertemente estereotipada de mujeres mayas de edad avanzada, utilizan ideologías existentes de la indigenidad —y de los pueblos indígenas— como algo que inexorablemente es situado en antigüedad para dar paso a la modernidad, el progreso y el proyecto del mestizaje en México.
Una aproximación a los Elementos Motivacionales en la Asignación del Patk’aaba’ (Apodo) en Lengua Maya en X-Hazil Norte
Authors:   Universidad Intercultural Maya de Quintana Roo, Tun Canul Ismael Eliezer
Published: March 2024

En los procesos de identificación en el dinamismo de las relaciones interpersonales entre los mayahablantes de X-Hazil Norte participan un conjunto de elementos culturales y lingüísticos que responden a una necesidad expresiva. En este escrito se aproxima a comprender los recursos más representativos que coadyuvan a estimular la asignación de apodos en esta comunidad. Este texto se teje con una serie de tsikbalo’ob (diálogos) con interlocutores de diferentes edades. Los elementos que sirven de referente para moldear a la personalidad de un sujeto con un agente externo varían de acuerdo con una circunstancia significativa. Al denominar a una persona con un patk’aaba participan mecanismos que son componentes de la realidad circundante y poseen rasgos intrínsecos a la lengua maya en relación con su entorno social.
La Cosecha
Authors:   University of Würzburg, Otto Laura
Published: March 2024

En México, los impactos del cambio climático antropogénico global, manifestados en crecientes sequías, intensas lluvias, tormentas y temperaturas más cálidas en los océanos, son localmente visibles y palpables. La masiva llegada de algas Sargassum a lo largo de la costa caribeña desde 2015 marca un punto de inflexión significativo en este contexto. Estas algas no solo afectan al medioambiente, sino que también moldean injusticias sociales. Mi investigación etnográfica destaca que las algas tienen significados diferentes para diversos actores. El relato corto “La Cosecha” entrelaza material de investigación con elementos ficticios, arrojando luz sobre las transiciones en las trayectorias de vida, las interconexiones transnacionales y las preguntas de pertenencia en el Antropoceno. Los resultados subrayan la necesidad de una narrativa matizada y no esencializadora dentro del marco de perspectivas decoloniales y poscoloniales, así como de la investigación etnográfica.
Beber en el equilibrio del amor
Authors:   Universidad Intercultural Maya de Quintana Roo, de Atocha Brito May Donny Limber
Published: March 2024

Huelo estas tristes cervezas y también huelo el fondo vacío de la madrugada. Chocan sus cristales inacabables en el aire como espumas que pecan entre mis labios fermentadas de amor.
Reflexiones del tsikbal y el iknal
Authors:   Universidad Intercultural Maya de Quintana Roo, Ucan Dzul Angel Abraham , Ballote Blanco Alina Dianela ,   Universidad Intercultural Maya de Quintana Roo
Published: March 2024

Este artículo busca hacer una aportación más sobre el término iknal en el pensamiento maya contemporáneo; además, el análisis realizado es desde el punto de vista del maya y no desde del pensamiento occidental. El texto aborda el concepto iknal desde la perspectiva del estudiante y cómo el término está inmerso en la enseñanza y en el modelo educativo de la UIMQRoo. Además, se da una breve definición del término junto con tsikbal, las cuales han ganado popularidad en las últimas dos décadas. Asimismo, sugiere la implementación del tsikbal y de un tutorial dentro de las tutorías con el objetivo de que tanto profesores maya hablantes y no maya hablantes las apliquen para el beneficio de los estudiantes, profesores y la institución. El texto explora dos palabras, que desde siempre han existido en la cultura maya, pero han tenido auge los últimos años, también alienta a la constante reflexión sobre dichos términos.
Sobre el Tren Maya, El Tsikbal y La ‘Voz Comunitaria’. Un Rompecabezas Metodológico
Authors:   University of Massachusetts Boston, Capetillo Ponce Jorge
Published: March 2024

En los meses de mayo y junio del 2019 un grupo de investigación formado por académicos, artistas y estudiantes de la UQROO y UMASS Boston realizaron un estudio de campo en 7 comunidades en los estados de Quintana Roo y Campeche por donde pasarán los rieles y se construirán estaciones del Tren Maya. El ensayo presenta diversos componentes de la metodología que se utilizó, así como una discusión sobre el objetivo de rescatar la “voz comunitaria” para insertarla en el debate sobre los pros y contras del Tren Maya. También se inserta una breve discusión del Tsikbal como otro componente que se podría sumar a la metodología para hacerla más penetrante y eficaz. Finalmente, se presentan algunos ejemplos de la metodología gubernamental, particularmente de FONATUR, hacia las comunidades y las reacciones de ellas en contra.
Comparative Analysis of Data Driven Software Tools in Asian Countries: Advancing the Development of Engineering Projects
Authors: Shar Abida , Memon Atia Bano , Maher Zulfikar Ahmed , Luhana Kirshan Kumar , Koondhar Muhammad Yaqoob , Farooqui Saira Baby
Published: March 2024

A number of software tools are developed to improve the quality of the products developed in various fields of life, including engineering. The main purpose of the data-driven software tools the engineers design is to develop products on time with the requirements and specifications given by the customers. The most famous data-driven software tools specialized for engineering projects are AutoCAD, CATIA, Primavera, and ZW3D, which are widely considered good and appropriate tools in Asian countries for working on civil, electrical, and mechanical projects. Each software tool has unique characteristics; some of them are useful for civil engineering projects, while others are good for mechanical and electrical engineering projects. The main objective of conducting this research is to determine the best data-driven engineering tool. In this research, quantitative research methodology through survey techniques is employed for data collection. Data was collected from the already-existing users of the above-mentioned engineering tools. The resultant data is statistically analyzed. The results of the current study show that CATIA is better and preferable in terms of all identified features. However, with respect to robustness, Primavera is found to be slightly higher than CATIA. The results of this study aim to assist engineers, especially in Asian countries, in selecting appropriate tools for their data-driven engineering projects and thus be more effective and efficient in the engineering process.
From Strategy to Execution: Data-Driven Optimization of IT Project Management in the Dynamic Landscape of Banking Industry of South Asian economy
Authors: Aisha Khan  , Qamar Abbas
Published: March 2024

In this study, the “iron triangle,” which also covers quality management and people management, is compared to the effectiveness of an IT project. To determine the key aspects of project design that have a major impact on project success, a survey was administered to numerous project teams working in Pakistani financial institutions. Project planning, scope management, time management, cost management, quality management, and people management were some of the areas of project management that were the focus of the study. To gather data, a questionnaire was created based on the theoretical frameworks of stakeholder theory and resource dependency theory. It was discovered through observation and data analysis that the management of different IT project components has a big impact on the project's success. To further explore the management elements that were not examined in this study and the procedures that have the greatest influence on project outcomes, more research is however required. The necessity of successfully managing project components to maximize the possibility of a successful project completion is highlighted by this study, which offers useful insights for IT project managers and stakeholders.
Block-Chain based Trustful Data-Driven Cyber-Physical Social System Framework for Urban Air Mobility
Authors: Abbasi Faheem Ahmed , Dahri Kamran , Ahmed Shaikh Zia , Ali Memon Muhammad , Ali Nizamani Muhammad , Yaqoob Koondhar Muhammad
Published: March 2024

This paper provides an overview of existing research on urban mobility issues and highlights the importance of incorporating smart technologies, particularly in the context of introducing air-based transportation, to enhance the efficiency of urban mobility systems. The integration of air mobility will bring about increased complexities in managing urban transportation due to the growing volume of data, services, and infrastructure that governing bodies will have to handle. Urban air mobility infrastructure consists of interconnected and intricate systems that demonstrate the seamless integration of physical and software components. To address these complexities, the Cyber-physical social system (CPSS) is proposed as an effective approach to minimize complications within and between these subsystems. Establishing public-private partnerships and ensuring secure transactions are vital prerequisites for embracing current technological advancements and shaping the future of urban air mobility services. In this regard, blockchain technology emerges as a reliable protocol that guarantees the integrity of data exchanged among the decentralized network of stakeholders, eliminating the need for a trusted intermediary.
The ramifications of Missing Nursing Care on adverse patient outcomes are profound. Insights gleaned from data offer valuable perspectives on nursing practices and their direct repercussions on patient well-being
Authors: Mushtaq Humaira , Ali Shagufta , Jafar Madiha , Gull Atia
Published: March 2024

The study aims to explore the correlation between missed nursing care and adverse patient outcomes. It delves into the reasons behind missed nursing care leading to negative patient consequences. The research framework employs missed nursing care as an independent variable and adverse patient outcomes as a dependent variable. Utilizing convenient sampling, this cross-sectional quantitative deductive study gathered data from nurses. All factors under scrutiny were assessed via questionnaires utilizing an appropriate Likert scale. Out of a total population of 411 nurses, 202 were sampled. The study's findings indicate a direct relationship between missed nursing care and adverse patient outcomes, demonstrating that an increase in missed nursing care corresponds to a rise in negative patient consequences. These outcomes were statistically significant, with reliable scales and valid data. The research concludes that reducing missed nursing care is pivotal for improving adverse patient outcomes. It recommends offering advanced skill courses, implementing thorough monitoring of nurses' activities, and mandating the self-reporting of missed patient care and adverse events
Family Motivation As A Catalyst For Entrepreneurial Behavior: Analyzing The Role Of Entrepreneurial Intention In Graduate Ambitions With Quantitative Data
Authors: Islam Mamoona , Anwar Farooq , Rauf Rabeeya
Published: March 2024

Drawing from Conservation of Resource theory, we examine intricate relationship between family motivation and entrepreneurial behaviour in this study, with a focus on the mediational role of entrepreneurial intention in influencing graduate students' aspirations. In the ever-evolving realm of entrepreneurship, it is imperative for both academics and industry to comprehend the impact of family motivation on the entrepreneurial aspirations of graduates. A time lag study is conducted and 220 self admintered questionnaire has been collected from recent graduates. Furthermore, data from Pakistan empiricaly support understudied effect  and provides empirical evidence supporting a favourable correlation between family motivation and the intention to pursue entrepreneurship at the graduate level. The findings underscore the significant influence of familial support in fostering entrepreneurial aspirations. Moreover, the study highlights the significant influentional impression of graduate entrepreneurial intention on their entrepreneurial behaviours, providing vital insights for politicians, educators, and entrepreneurs who aim to promote entrepreneurship among graduates. While recognising the limitations of this study, the present research enhances our comprehension of the intricate relationship between familial dynamics and the aspirations of graduate students in entrepreneurship.
Data-Driven Exploration of Web Browsing Habits: A Visual Analysis with BHVis
Authors: Qayoom Abdul , Rehman Shafiq Ur , Waqas Muhammad , Aoun Muhammad , Saeed Umair , Yadong Wu , Song Wang
Published: March 2024

Browsing history is an eminent tool for internet users to keep track of the daily and specially visited webpages without bookmarking them. Traditional history tools have become insufficient to satisfy their purpose of addressing complex browsing patterns. Graphical interfaces are the critical solutions for these complexities. Therefore, visualising the browsing histories interactively can be helpful in this case. There are many built-in basic visualisation browsing icons for the ease of the users in different browsers, which help the user quickly access the visited pages. But these tools lack in-depth analysis of users' browsing habits. In this study, we propose a novel approach for visualising the browsing history data and browsing habits of the user. We named this system BHVis (Browsing Habits Visualisation), which visualises the user’s web page visits using different visualisation methods and visual representations to make the browsing habits of the users explicable. The main contribution of this system is to enable users to gain insight into their browsing patterns and enable self-analysis and self-improvement. The system is evaluated based on different case studies. The study shows that this system enables users to gain insights into their web usage and monitor their web browsing habits.
Innovative Supply Chain Management Strategies in Pakistan’s Textile Industry Amidst Global Economic Shifts
Authors: Dad Allah , Ahmed Asmarah , Bibi Nusrat , Hussain Syed Asad
Published: March 2024

This study explores the critical factors influencing the competitiveness of Pakistan's textile industry, a key pillar in the national economy. Grounded in Resource-Based View (RBV), Institutional Theory, and Stakeholder Theory, the research formulates and tests hypotheses concerning the impact of technological advancements, governmental policies, global market dynamics, sustainability practices, and supplier relationships on industry competitiveness. Employing a stratified random sampling method, the study gathered responses from 371 industry professionals, ensuring a representative cross-section of the sector. Data was collected through a structured questionnaire and analyzed using advanced statistical techniques. Key findings reveal that technological innovation, supportive government policies, adaptability to global market shifts, sustainable practices, and robust supplier relationships significantly enhance competitiveness. These findings offer valuable insights into the complicated nature of industrial competitiveness, bridging theoretical postulations with empirical evidence. The study's implications are twofold: guiding industry stakeholders in strategic decision-making and informing policy-makers on fostering a conducive environment for industrial growth. Limitations include the study's focus on specific industry segments within Pakistan, highlighting the need for broader, possibly comparative, research in the future. The study's findings have profound implications for industry practices and policy frameworks, advocating for a holistic approach to enhancing the global standing of Pakistan's textile sector.
Evaluation of the MMCT App Based on the Octalysis Gamification Framework
Authors: Shafi Faiza , Agha Attia , naz Anum , Chandio Fida hussain , Naqvi Syeda hira fatima
Published: March 2024

Gamification has tremendous popularity among the various domains such as e-learning, business, and healthcare. It is well documented that many applications are being developed to assist the patients to modify their behavior and most of them are designed to engage and motivate users to increase adherence, using gamified techniques. However, academic research and management pay little attention to the challenges of developing, implementing, managing, and maximizing gamification methods. In this research work we have presented a medication management application based on a gamification concept that provides reminder tools for patients who have difficulty in remembering their regimen. Currently, we have evaluated the efficiency of the platform in support of the motivating and engaging application of mHealth (MMCT) based on the Octalysis Gamification Framework. The latter contains several elements of the game design that can be used to enhance their experience as required in each stage of the player’s journey. We conclude by discussing the following section on gamification in addition to the guidelines for further development of the Octalysis method.
Risk Assessment to improve the performance of Projects
Authors: Latif Muhammad Haris
Published: March 2024

The research, focal point on a wide-ranging investigation of the processes associated with identifying, assessing, and managing threats associated with various projects. The main objective is to enhance the performance by efficiently identifying and mitigating the potential hazards that may arise during the lifecycle of the project. While using a quantitative approach for this, the study includes surveying and interviewing a total of 50 project managers and team members to collect primary data. The collected data is subjected to statistical analysis and thematic investigation to discover patterns, trends, and correlations between risk assessment practices and project performance indicators. The research results offer valuable insights into the existing utilization of risk assessment methodologies in project management and their effect on project success. The analysis evaluates the effectiveness of various risk assessment strategies and techniques, encompassing both qualitative and quantitative methods. Additionally, the study explores organizational factors influencing the implementation and outcomes of risk assessment processes.
Exploring the Impact of Organizational Culture on Employee Performance in Pakistan's Corporate Sector
Authors: Afzal Muhammad Farhan , Anwer Sobia , Khan Hamid , Azhar Tehseen , Shahid Muhammad Naeem
Published: March 2024

This study explores the impact of organizational culture, specifically leadership style and communication patterns, on employee performance in Pakistan's corporate sector., The primary problem addressed is the identification of how these specific cultural factors influence employee effectiveness and productivity in a unique emerging market context., Methodologically, the study employed a structured questionnaire survey, targeting a diverse group of employees across various levels in the corporate sector of Pakistan., The survey aimed to gather insights into the perceptions of employees regarding their organizational culture and its influence on their performance., Results indicated that a positive leadership style is significantly associated with higher employee performance, with a path coefficient of 0.5012 and a t-value of 19.8950., Additionally, effective communication patterns within an organization were found to be positively related to employee performance, demonstrated by a path coefficient of 0.5121 and a t-value of 19.3776.The implications of these findings are profound., For leadership style, it suggests the need for organizational leaders in Pakistan to adopt more positive and employee-centric approaches to drive performance., In terms of communication, the results advocate for the implementation of clear and effective communication channels within organizations to enhance employee productivity., The study contributes significantly to the understanding of organizational culture's impact on employee performance in the context of Pakistan's corporate sector., It adds a unique perspective by examining these relationships in a non-Western context, thus enriching the global discourse on organizational culture and performance., For policy implications, this research offers valuable insights for organizational leaders and policymakers., The findings highlight critical areas of focus for leadership development and communication enhancement strategies, aimed at boosting employee performance and, consequently, organizational success in emerging markets., This study serves as a benchmark for similar interventions in corporate sectors across other emerging economies.
Fake News Identification in Urdu Tweets Using Machine Learning Models
Authors: Iqbal Zahid , Khan Fida Muhammad , Khan Inam Ullah , Khan Inam Ullah
Published: March 2024

There is an increasing number of people who generate and distribute content online, especially via social media platforms, which is primarily responsible for the proliferation of fake information. Fake information can cause controversy and distort people's perspectives, so it needs to be addressed immediately. The goal of this work is to detect false information in Urdu tweets, a difficult task given the language's large user population and particular grammatical difficulties. We offer an all-inclusive machine learning system that reliably classifies tweets in Urdu as legitimate or false. The methodology we use consists of several key steps: preprocessing, which includes normalizing, tokenizing, removing stop words, and stemming to prepare the data for analysis; data collection, which involves compiling and annotating a sizable dataset of Urdu tweets; and feature extraction, which makes use of technique TF-IDF to extract the semantic and syntactic nuances of the language. We investigate various machine learning models, including RNNs and CNNs, and more sophisticated neural networks like SVM, Random Forest, Logistic Regression, Naive Bayes, and Decision Tree to find the most efficient method for resolving this classification problem. The models are put through a rigorous training and assessment process using measures including the F1 score, accuracy, precision, and recall. Furthermore, a thorough examination of their confusion matrices is done. Our study's findings suggest that deep learning models hold much promise for resolving the problem of inaccurate information in Urdu. This opens the door for additional research and the creation of real-time algorithms for spotting false information. The subject of information integrity in Urdu language content is improved by this work, which also sheds light on the applicability of machine learning techniques in many linguistic contexts. Using SVM, Random Forest, Logistic Regression, Naive Bayes, and Decision Tree we achieved accuracies of 74%,91%, 76%, 78%, and 67% respectively. Meanwhile, CNN and RNN are the classifiers with the highest accuracy levels at 91% and 99% respectively. The results demonstrate that the CNN Model achieved 99% highest accuracy in detecting fake news from Urdu Tweets.
Sea Level Rise And Tsunami In Middle East
Authors: Khan Ali Akber , Ahmed Iftekhar , Qamar Mahmood Khalid , Aqsa Tehreem
Published: March 2024

The Arabian Gulf, an area experiencing fast urbanization and significant economic growth, is facing impending and complex environmental issues due to rising sea levels and the potential occurrence of tsunamis. An exhaustive analysis of scientific literature spanning from 2010 to 2022 elucidates the intricate interaction between natural and anthropogenic elements that contribute to the phenomenon of sea level rise in the region. The analysis includes important factors such as the melting of glaciers, thermal expansion, and local subsidence. The combination of these elements highlights the susceptibility of coastal areas, affecting essential infrastructure and communities. This study expands its scope to include the historical background of tsunamis in the Arabian Gulf, investigating geological and seismic indicators that enhance our comprehension of probable occurrences. The study employs sophisticated modeling approaches to evaluate possible tsunami scenarios and their potential consequences on heavily populated coastal areas). The results emphasize the urgent requirement for proactive risk management measures, which involve creating and executing strong early warning systems, adaptable infrastructure planning, and community participation activities.  In addition, the report outlines the particular weaknesses of the Arabian Gulf, highlighting the possible social, environmental, and cultural consequences of rising sea levels and tsunamis. By analyzing successful case studies from around the world, the research identifies and condenses the most effective strategies that can be applied specifically to the Arabian Gulf region. This entails the incorporation of not just technology remedies, but also underscores the need for global cooperation and multidisciplinary methodologies to guarantee all-encompassing and enduring risk reduction tactics. Conclusively, this study not only identifies and thoroughly examines the impending dangers presented by the rise in sea levels and tsunamis in the Arabian Gulf but also provides a proactive and pragmatic plan for achieving sustainable development in response to these climate-related difficulties. The suggested measures, which combine scientific knowledge with practical considerations, offer a comprehensive strategy to protect the region's future from the many effects of rising sea levels and tsunamis.
Quantum Shield For IoT: Enhancing Bluetooth Security with a Novel Hybrid Encryption Algorithm
Authors: Shirazi Syed Atir Raza , Wahab Abdul , Shah Sadia Abbas , Anwar Aqsa , Akhtar Raybal , Yousaf Nafeesa
Published: March 2024

Bluetooth communication enables effective data sharing for a wide range of applications, from audio streaming to IoT devices, boosting user ease and productivity. Bluetooth security difficulties stem from flaws in encryption mechanisms, which could allow unauthorized access or data interception. Current flaws include vulnerability to eavesdropping and device spoofing, emphasizing the need for improved security measures. The hybrid encryption technique suggested in this paper is a tribute to unprecedented innovation in Bluetooth security. It pioneers a multi-layered approach to data protection by seamlessly integrating AES, Blowfish, RSA, and SHA-256. This algorithm not only answers current security concerns, but it also teaches how to use cryptographic approaches strategically. Furthermore, its prudent use of RSA, which minimizes computing overhead, demonstrates a forward-thinking approach to combining security and efficiency. The algorithm's astounding great accuracy after multiple tests demonstrates its practical practicality, confirming its potential to transform Bluetooth security procedures. This effort establishes a new cryptographic standard, altering the landscape of wireless communication security.
Association between depression and BMI in young adults
Authors: Wang Haoshuang
Published: March 2024

Globally, depression significantly affecting people's quality of life with a range of negative health outcomes. Previous studies have confirmed a link between BMI and depression. Consequently, this study focused on data spanning from 2017 to March 2020, encompassing individuals aged 18 to 30 years within the National Health and Nutrition Examination Survey (NHANES). The study included 1635 participants, with complete data and selected covariates. Then, used weighted logistic regression models to investigate the connection between depression and BMI. Given the significant influence of gender, subgroup analysis was performed to compare the varying impact of BMI between males and females. Ultimately, the analysis of model results revealed a noteworthy positive correlation between BMI and depression within the 18-30 age group, with women experiencing a more pronounced effect than men. In conclusion, reducing BMI emerges as a potential strategy to mitigate the risk of depression.
Application and Prospects of Artificial Intelligence in Breast Cancer Early Diagnosis, Screening, and Treatment
Authors: Yu Dian
Published: March 2024

In modern society, as artificial intelligence technology becomes increasingly mature, AI can already be utilized to assess and treat breast carcinoma. By summarizing results and data of experiments that use AI to help breast carcinoma diagnosis and cure, this article states the positive impact of AI on breast cancer screening, detection of breast cancer-related genes, and prediction of efficacy of breast cancer treatment drugs. What is more, illustrating the moral, legal, and social challenges encountered by scientists when they use artificial intelligence. Also, this article makes some suggestions for the future development of AI technology. The author believes that AI technology have the ability to contribute significantly to the diagnosis and cure of breast cancer and can enhance the chances of patients surviving to a considerable extent. However, currently, artificial intelligence technology remains in a relatively nascent stage, necessitating ongoing attention and dedicated efforts for its advancement.
Comparative Analysis of the Two Innovative Vaccines
Authors: Bao Fengyu
Published: March 2024

Multiple sclerosis (MS), one of the most prevalent autoimmune diseases, poses a significant challenge for therapeutic advancements. Among these, antigen-specific therapies (ASTs) utilizing therapeutic vaccines have emerged as highly promising. Designed to induce antigen-specific tolerance without compromising the overall immune system, these vaccines offer a glimmer of hope for MS patients, despite many still being in the preclinical trial phase. This research provides an elaborate comparison of two distinct vaccine types: m1Ψ mRNA vaccines and ROS-scavenging CeNP MSN vaccines. As AST vaccines targeting MS, they exhibit notable similarities across various facets, ranging from superficial aspects such as the models employed to evaluate therapeutic effects to deeper considerations like their anti-inflammatory characteristics and key mechanistic factors. Beneath these similarities, significant differences are identified and analyzed within this article. Additionally, the advantages, disadvantages, and noteworthy features of each vaccine are thoroughly compared, accompanied by corresponding suggestions for improvement. Through this comparative analysis of the two innovative vaccines, the paper aims to enhance readers' comprehension of MS treatments. By offering humble insights, it aspires to make a positive impact on related research, ultimately contributing to the advancement of MS therapeutic approaches.
Classification of breast cancer data based on neural network algorithm
Authors: Ouyang Mingyu
Published: March 2024

In today's world, breast cancer has become the most common malignant tumor, so this paper mainly classifies the features of breast cancer through BP neural network to improve the accuracy of research and judgment. This paper mainly adopts 30 breast cancer feature data of 569 cases, and then obtains the feature data used in this BP neural network through correlation analysis, feature selection and principal component analysis. By training, the BP neural network that is most suitable for this data is constructed from aspects such as the number of hidden layers, loss function, and iteration times, ultimately improving the accuracy to 100%.
Research on the Breast Cancer Risk Factors and Possible Therapy
Authors: Gao Yifei
Published: March 2024

This article introduces the benefits of public health that can be developed related policies through research to prevent or control pandemic or diseases. Cancer is now a major concern of public health worldwide. Research has been conducted to identify and solve the major problems for some types of cancer. This article gives some detailed information for one type of cancer, breast cancer. The third part of the article includes risk factors for breast cancer, which the unhealthy lifestyle is one of the possible risk factors includes alcohol intake, being overweight, that the likelihood of breast cancer development might grow. Also, the third part has the information that describe some of the genes that are commonly found in the breast cancer and some of could improve the breast cancer cells growth. For the fourth part, some possible and newly treatments will be mentioned. Through the assessment of risk factors, more people can be motivated to improve their lifestyles to decrease their risk, or to undergo genetic checking to identify whether have the high risk to diagnosis the breast cancer, which help people to know their risk and treat breast cancer earlier. The hormone therapy is one of the treatments which includes SERM that compete with estrogen and SERD directly block estrogen to bind to control the development of breast cancer cells. Hormonal therapy could contribute to controlling breast cancer recurrence, but people who use tamoxifen may develop resistance. In this way some targeted needs to be combined with hormone therapy.
Progress on Pathogenesis Rccs and Related Treatments
Authors: Li Yehao
Published: March 2024

Kidney cancer has been a concern by society for many years because the pathogenesis of kidney cancer is complex, it may be related to genetic factors, environmental factors and lifestyle. Early diagnosis is crucial for the treatment and prognosis of kidney cancer, but there are still certain challenges. Advances in kidney cancer include gene mutation research, immunotherapy, targeted therapy and liquid biopsy. These research advances are expected to provide more accurate and effective methods for the early diagnosis, treatment and prognosis assessment of kidney cancer. However, the research of kidney cancer still faces some challenges and unknown areas, including early diagnosis, drug resistance mechanism, metastasis mechanism and individualized treatment strategy. This essay is an analysis of the research of kidney cancer, which is about the factors of getting kidney cancer and the treatment of kidney cancer. Kidney cancer research can help improve early diagnosis and screening, gain insight into tumorigenesis mechanisms, overcome drug resistance and metastasis, and promote breakthroughs in immunotherapy. For future expectations, people should refine unclear mechanisms and improve treatment options.