bluuebunny/crossref_metadata_2025 huggingface dataset:
An An Analysis of Directive Speech Acts Used in “The Blind Side” Movie by Michael Lewis
Authors: Ladita Safira , Jazadi Iwan
Published: January 2025

It is fascinating to conduct a study on the directive speech acts because it is so common in everyday life, especially in conversation. Sometimes communication fails simply because the hearer does not understand what the speaker is saying. As a result, the intended message could not be sent effectively and several differences were found in the use of speech acts. The focus of this research was to analyze the use of directive speech acts in the movie “The Blind Side” by Michael Lewis. The research aimed to (1) identify the types of directive speech acts used by the characters in the movie “The Blind Side” by Michael Lewis, and (2) determine the factors influencing the use of each type of directive speech act by the characters. This research was qualitative, employing descriptive techniques. The data sources included primary sources such as video and script, and secondary sources such as articles, journals, and relevant studies. The researchers utilized documentation, observation, and literature study techniques in data collection to draw conclusions after analysis. Searle’s and Hymes’ theory are used to analyze the data. From the observations and literature study, the results obtained were (1) five types of directive speech acts were found to be used by the characters in the movie, namely command, request, invitation, prohibition, and suggestion, and (2) there were factors influencing the use of each type of directive speech act by the characters, including gender, age, race/skin color, and social status/occupation, with race/skin color being the most dominant factor influencing them.
Exploring Turn-Taking Strategies Utilised by Pre-Service Teacher in Indonesian EFL Setting: A Conversation Analysis
Authors: Wahid Permana Putra Rizal , Mira Yusiana Sifreni , Elfiyanto Sonny
Published: January 2025

In the teaching-learning process, a classroom conversation is managed by the teacher to attain specific purposes. The success of teaching-learning process, in addition, requires teacher-student interaction to gain relevant experiences in students’ target language. During the class, taking-turn will likely happen in a classroom interaction. However, during this class, the teacher-student turn seems to be asymmetrical. The teacher tends to be the main speaker allocating the turn to maintain teacher-student interaction. This research, further, aims at exploring turn-taking strategies utilised by EFL pre-service teacher. The researcher utilises a qualitative research approach with a conversation analysis. The data used in this research is unscripted-recorded classroom video. Furthermore, the data is transcribed into conversational data to obtain the data of turn-taking strategies utilised by pre-service teacher in EFL classroom setting. In analysing the data, the researcher ulitises Sacks’ framework (1984). Based on the result of data analysis, it is found that there are seven turn-taking strategies utilised by pre-service teacher in EFL classroom settting. These are adjacency pairs, addressing term, utterance in-completor, repair technique, possible pre-closing, overlaps, and tag question. In addition, the teacher mostly uses question-answer adjacency pairs during the teaching-learning process. This, however, leads to asymmetric turn between teacher and students. The teacher seems to be more dominant to initiate and take turn during classroom conversation. Possible pre-closing, on the other hand, is the least turn-taking strategy used by the pre-service teacher in the teaching-learning process. This turn used by pre-service teacher to close or end a conversation in the teaching-learning process. Since this research has dealt with pre-service teacher, the results will be beneficial for the pre-service teacher to manage turn-taking strategies in EFL classroom setting to ensure the classroom interaction and conversation symmetrical.
Lexical and Structural Ambiguities in the Headlines of The Nigerian Tribune and The Punch, 2015-2022
Authors: Jolaoso Oluwafemi , Azeez Isiaq
Published: January 2025

The primary goal of communication is information sharing for mutual understanding between the sender and the recipient. A news headline is a form of communication that serves as the gist of the main points in the lead. It is written in a more succinctly attention-grabbing manner. It makes the readers curious and piques their interest. However, some of the Nigerian newspaper headlines are ambiguous. They are open to two or more interpretations against the writer’s intended meaning. Therefore, this study investigated the lexical and structural ambiguity in the Nigerian newspapers: The Nigerian Tribune and The Punch. The use of Theory of Meaning by Ludwig Wittgenstein served as the theoretical framework for this study. The data were collected from The Nigerian Tribune and The Punch and qualitatively analysed. Ambiguous headlines were found and their interpretations were given, using the Use Theory of meaning. The study found that ambiguities are frequently used in newspaper headlines due to the polysemous nature of the lexical choices, the dual function of some parts of speech, indexical references and wrong places of prepositional phrases. The analysis showed that these phrases were not placed immediately after their antecedent and thus resulted in ambiguous headlines. The study concluded that headline writers should discontinue using too much ambiguity, to avoid discouraging the readers. The deck, kicker and rider should also be used along with the headlines. Also, the readers are encouraged to contextually study the contents to get the precise and intended message.
Assessment Levels of IL-17, Chemerin, and Biochemical Variables in Women Pregnant Infected with Toxoplasma gondii
Authors: Taha Sahar A. , Ibraheem Raghad Kh.
Published: January 2025

Objective: The current research study was completed in some areas of Kirkuk Governorate, where samples were collected randomly from pregnant women who had miscarriages arriving at government hospitals and some private medical clinics, whose ages ranged between 18-35 years for a period from 25/3/2024 to 1/10/2024. Methode: 150 samples were collected from pregnant women who had miscarriages (first miscarriage). It was suspected that they were infected with Toxoplasma, and a rapid test was performed to detect IgM and IgG, as 60 samples were confirmed to be infected with the Toxoplasma parasite through the appearance of a positive IgG result, and 30 uninfected samples were IgM negative. After that, blood was taken from patients and healthy and separated using a centrifuge. Then the intrelukin-17-IL-17, Chemerin, and some biochemical variables such as thyroid hormones (T3, T4, TSH), and antioxidants including glutathione peroxidase -GPX, Superoxide dismutase -SOD and Copper-Cu were measuring. Result: The results of this study showed a significant rise in each parameter (IL-17, chemerin, T3, T4, TSH, and Cu) and a significant low in concentration of (GPX, SOD) in the sera of women infected with T.gondii compared to healthy women, with a probability of P ≤ 0.05.
Co-Opetitive Strategy and Business Models of Downstream Retail Enterprises of Telecommunication Sector in the South-South, Nigeria
Authors: Nkuda Matthias O.
Published: January 2025

This study investigated co-opetitive strategy and business models of downstream retail enterprises of telecommunication sector in the south-south region of Nigeria. The specific objectives were to examine the influence of co-opetitive strategy reflected in strategic alliances and collaboration on business models of downstream retail Enterprises of the telecommunication sector in the south-south region of Nigeria. The survey research design was used for the study. The population of the study consisted of 100 retail enterprises in the downstream telecommunication sector, with sample of 80 respondents which were determined using Taro Yamane’s formula for sample determination. Data were collected using questionnaire distributed to 80 respondents out of which 78 copies of the questionnaire were correctly completed and returned in usable form. Data collected were analysed using simple linear regression analysis. Findings indicated that strategic alliances and collaboration as proxies of co-opetitive strategy have significant influences respectively on operational cost, revenue and profit of the retail enterprises of downstream telecommunication sector in the south-south region of Nigeria. Therefore, it was concluded that co-opetitive strategy has positive and significant influence on the business models of downstream retail enterprises in the telecommunication sector in the south-south region of Nigeria. Therefore, it was recommended that the management of downstream retail telecommunication enterprises in the study should sense and enter into strategic alliance and forge collaboration which define co-opetitive strategy to build, configure and reconfigure their business models to strengthen their competitiveness in the industry.
The Impact of Random Variable Transformation on the Lindley and Sujatha Distribution Probability Models in Modeling Diabetes Survival Data
Authors: Siregar Nanda Saputra , Yendra Rado , Marizal Muhammad , Desvina Ari Pani
Published: January 2025

The probability models of two and three mixed gamma distributions, specifically the Lindley and Sujatha distributions, will be enhanced through the application of random variable transformation techniques, resulting in the Power Lindley and Power Sujatha probability models. This study employs four probability models: Lindley, Sujatha, Power Lindley, and Power Sujatha, to analyze the survival time of diabetic patients. All probability models in this study will utilize the maximum likelihood method for parameter estimation. The optimal model will be determined based on a goodness-of-fit test, which will incorporate both graphical methods (density and cumulative distribution graphs) and numerical methods (Akaike's Information Criterion (AIC) and negative log-likelihood). The results of the goodness-of-fit test indicate that the model derived from the random variable transformation yields a superior probability model compared to its original form.
Magnetic Resonance Cholangiopancreatography (MRCP) Evaluation of Post Cholecystectomy Early Complications Correlation with Endoscopic Retrograde Cholangiopancreatography (ERCP)
Authors: Kabir Dr. Mohammad Ali , Kamal Dr. Mahmud Hasan Mostofa , Hossain Dr. A.S.M Shahidul , Mostafa Dr. Syeda Nazlee , Sultana Dr. Zareen , Begum Dr. Morsheda
Published: January 2025

Background: Magnetic Resonance Cholangiopancreatography (MRCP) non-invasively evaluates biliary and pancreatic ducts, diagnosing post-cholecystectomy complications like stones and strictures, and is compared with ERCP, the gold standard for biliary imaging. Objective: To assess the diagnostic accuracy of MRCP in detecting post-cholecystectomy complications and compare its effectiveness with ERCP in identifying and managing biliary conditions like stones, strictures, and fistulas. Methods: This cross-sectional study enrolled 55 patients with post-cholecystectomy complications, such as jaundice and bile duct dilation, were selected for MRCP and ERCP evaluations. Statistical analyses of the results were obtained by using window based computer software devised with Statistical Packages for Social Sciences (SPSS-22). Result: The test of validity of MRCP compared to ERCP for detecting stones and worms in the common bile duct (CBD), MRCP achieved perfect sensitivity, specificity, and accuracy (100%). Strictures at different parts of the CBD were detected with a sensitivity of 95% and specificity of 100%, while soft tissue masses had a lower sensitivity of 50% but maintained 100% specificity. For detecting fistulas at the proximal CBD, MRCP showed a sensitivity of 100%, specificity of 98.1%, and an accuracy of 98.2%, though the positive predictive value (PPV) was lower at 50%. Conclusion: MRCP is a highly effective, non-invasive tool for evaluating post-cholecystectomy complications, offering perfect accuracy in detecting common bile duct stones and worms.
Aggressive Super-Giant Prolactinoma in a Male Adolescent: A Case Report
Authors: M Alahyane , S Rafi , S Ijdda , G El Mghari , N El Ansari
Published: January 2025

Giant prolactinoma (GP) in childhood and adolescence is a rare entity with scarce litterature. We report a case of A 17-year-old adolescent Moroccan boy presented with a Rapidly progressive vision loss complicated with an incomplete Intracranial hypertension syndrome. Magnetic resonance imaging (MRI) showed a very large intrasellar mass with suprasellar extension and evidence of recent necrotic and hemorrhagic remodeling. Patient underwent an urgent transsphenoidal surgery for tumor resection. Post operative labroratory findings were in favor of a hyperprolactinemia a panhypopituitarism and transient Diabetes insipidus. Histological assessment confirmed diagnosis of prolactinoma. Pituitary MRI control revealed an intrasellar residue. Patient was then started on cabergoline.This case highlights the importance of early identification and the need for a multidisciplinary approach in managing Giant aggressive prolactinomas in young patients.
Sistem Informasi Wedding Organizer VK Project Berbasis Web Menggunakan Metode Prototype
Authors: - Nimas Ayu Anggun Kharisma , - Afiana Septi Laili , - Bagus Dzakiy Rahman Saputra , - Indyah Hartami Santi
Published: January 2025

Wedding organizer merupakan sebuah badan atau organisasi orang yang bertujuan untuk mengarahkan dan mengatur jalannya sebuah pesta pernikahan. Pada era serba digitalisasi yang sangat cepat ini, adanya wedding organizer sangat disambut baik oleh masyarakat terutama kalangan muda untuk mendampingi mereka dalam acara pernikahannya. VK Project merupakan salah satu wedding organizer yang cukup terjamin. Namun walau sudah berkali-kali menerima pesanan dari banyak pengantin, VK Project masihlah menggunakan cara manual untuk pembukuan dan pelanggan juga harus bolak-balik melihat portofolio dari vendor yang bekerja sama dengan VK Project. Dengan dibuatnya website dengan model prototype ini, diharapkan dapat membuka peluang baru untuk website dikembangkan di masa depan. Setelah melakukan pengujian, sebanyak 35% responden memberikan respon yang bagus terhadap prototype yang ditunjukkan.
MONKOI: Sistem Informasi Pengawasan Aktivitas Karyawan pada Bisnis Budidaya Ikan Koi Menggunakan Metode Waterfall
Authors: Ayuna Rahim Imannur  , Agus Widaksono  , Mochammad Rhozac  , Yusril Rifa Mahendra  , Latifah Habibita Alif  , Indyah Hartami Santi  , Miftakhul Lathoif
Published: January 2025

Sistem merupakan prosedur yang terorganisir yang saling bekerja bersama untuk mencapai tujuan tertentu. Teknologi menjadi alat penting untuk meningkatkan efisiensi dan kontrol atas aktivitas operasional. Dalam era transformasi digital yang terus berkembang, pendorong utama perubahan dalam berbagai sektor bisnis adalah kemajuan teknologi informasi dan komunikasi. Maka dibuat lah sistem untuk mengikuti perkembangan jaman dan membantu aktivitas usaha. Sistem yang dibangun dalam penelitian ini adalah pengelolaan sistem kerja berupa Dashboard Kontrol di Putra Koi Farm Blitar. Metode Waterfall dipilih peneliti untuk membangun sistem berbasis web yang dirancang untuk meningkatkan efisiensi operasional pemilik usaha. oleh karena itu sistem "MONKOI" dirancang untuk mengatasi kendala pengawasan manual, meningkatkan transparansi, memperkuat kontrol terhadap aktivitas bisnis, dan mendukung pertumbuhan bisnis secara menyeluruh di tengah persaingan usaha breeding ikan koi.
Evaluation of Predictive Indicators for Post-Intubation Hypotension
Authors: Pan E , Cheng Tao , Chen Yao
Published: January 2025

Post-intubation hypotension is one of the causes of hemodynamic disorders after tracheal intubation, especially for emergency intubation in the emergency department or intensive care unit, due to the characteristics of these patients with serious conditions and time constraints. Therefore, early and rapid prediction of the risk of post-tracheal intubation hypotension and emphasis on early interventional measures are crucial. Therefore, it is crucial to predict the possibility of hemodynamic instability after emergency tracheal intubation in critically ill patients. According to existing studies, the risk factors for post-intubation hypotension include various factors such as the patient’s physiological parameters, drug induction before intubation, and variability in the skills of the healthcare team; however, due to the individual bias effect of some of these indicators and the difficulty of real-time detection, they cannot provide practical value to the clinic. In response to these existing problems, some studies have reported that ultrasonic measurements, a non-invasive, convenient, and dynamically evaluable parameter in real-time, can predict hypotension after tracheal intubation, providing evidence for clinical intervention to improve the prognosis of critical illness.
Possible improvement of Urinary Tract Infection (UTI) by Gatch up positioning in Long-term Acute Care (LTAC)
Authors: Ohfuru Riichi , Bando Hiroshi , Sakata Nobuo
Published: January 2025

Adequate medical practice has been emphasized for the increasing elderly population. The authors have long provided Long-Term Acute Care (LTAC). Concerning clinical problems related to urinary tract infection (UTI), we propose the Gatch-up 45-degree positioning as a preventive measure for UTI. The case involves a 68-year-old female who underwent the Gatch-up procedure for 1 hour, twice a day, over a period of 1 month. Post-void residual (PVR) urine volume was measured and compared between the previous month and the intervention period. The average PVR significantly decreased from 245 mL to 80 mL (p < 0.05), representing a 67.3% reduction. This suggests further indications and potential future development for this procedure.
The Latest topics of Standards of Care in Diabetes 2025: Focusing on GLP-1RA
Authors: Bando Hiroshi , Wood Michael , Ebe Koji
Published: January 2025

The American Diabetes Association (ADA) presented the Standards of Care in Diabetes-2025 online in December 2024. The authors immediately reviewed and provided perspectives on the latest developments regarding glucagon-like peptide-1 receptor agonists (GLP-1RA). Some newly added content about GLP-1RA is included, such as its application for heart failure with preserved ejection fraction (HFpEF), obesity, metabolic dysfunction-associated steatotic liver disease (MASLD), and metabolic dysfunction-associated steatohepatitis (MASH). Concurrent use of DPP-4 inhibitors (DPP-4i) with GLP-1RA (GIP/GLP-1RA) is not recommended due to a lack of additional glucose-lowering effects beyond GLP-1RA alone. GLP-1RA is expected to demonstrate various positive clinical effects.
A ANALYSIS OF LEGAL PROTECTION AND LABOR GENDER EQUALITY IN THE COAL MINING INDUSTRY PT. MUTIARA ETAM COAL, PALARAN DISTRICT, EAST KALIMANTAN
Authors: Surya Suryaningsi
Published: January 2025

Regulations related to legal protection and gender equality in labor are crucial aspects, especially in industries dominated by male workers such as coal mining. This study aims to analyze legal protection for gender equality in the coal mining industry, with a case study on PT. MEC. The research method used is qualitative descriptive with a case study approach. This research involves company leaders and employees as research subjects, with data collection techniques through observation, interviews, and documentation. Data analysis is carried out through the stages of collection, reduction, presentation, and drawing conclusions. The results of the study show that PT. The MEC complies with Law No. 13 of 2003 on Manpower, which explicitly prohibits gender discrimination in the workplace. The implementation of gender equality at PT. MEC is based on several key factors. First, the company implements an equal wage system between men and women, based on the principle of fairness and efforts to increase the retention of female employees. Second, PT. The MEC implements an inclusive recruitment policy that actively encourages women's participation in various departments, aiming to increase workforce diversity. Third, the company provides facilities and policies that support employee welfare, including maternity leave and adequate lactation facilities. PT. The MEC also takes special measures to ensure the safety of workers, especially women, including anti-harassment policies. However, challenges remain, especially in raising workers' awareness of gender equality rights and encouraging more women to pursue careers in the industry. Although PT. While MECs have demonstrated a strong commitment to gender equality and creating a fair working environment, further efforts are still needed to achieve all-round equality. These findings emphasize the importance of sustainable implementation of more comprehensive policies and strategies in the context of the coal mining industry.
Doğal Gaz Depolama Yükümlülüğünde İfa Güçlüğü
Authors: Günaydınoğlu Tecir Aslı
Published: January 2025

Doğal gaz, doğada herhangi bir işleme tabi olmadan kendiliğinden bulunabilen ancak ulaşılabilmesi, çıkarılması ve dağıtımının farklı teknik faaliyetleri gerektirdiği, yeryüzünde belirli bölgelerde bulunan bir enerji kaynağıdır. Bu kaynağın güvenli bir şekilde depolanması ve dağıtılması, enerji güvenliği ve istikrarı için kritik öneme sahip düzenlemelerdir. Doğal gaz depolama yükümlülüğü, genellikle enerji tedarikçilerine belirli miktarda doğal gazı depolama zorunluluğu getiren bir düzenleme olup, bu yükümlülüğün temel amacı, acil durumların yanı sıra talep artışlarına hızlı bir şekilde yanıt verebilmek, arz güvenliğini sağlamak ve enerji piyasalarında istikrarı korumak olsa da tüm bu hususların amacına ulaşabilmesi aynı zamanda liberal bir doğal gaz piyasasının varlığını da beraberinde getirmektedir. Doğal gaz depolama yükümlülüğü ile ilgili düzenlemelerin etkin bir şekilde uygulanması, bu düzenlemelerin sürekli olarak gözden geçirilmesi ve uyumlu bir şekilde güncellenmesi, enerji sektöründeki değişen koşullara uyum sağlanması açısından büyük öneme sahiptir. Aksi durumda, doğal gaz tedarikçileri, doğal gazın depolanması yükümlülüğünde ifa güçlüğü problemi ile karşı karşıya kalabileceklerdir.
MGA KILOS SA FEEDBACK LITERACY NG MGA MAG- AARAL SA MEDYOR SA FILIPINO NG KAPALONG COLLEGE OF AGRICULTURE, SCIENCES AND TECHNOLOGY: ISANG DESKRIPTIBONG KOMPARATIBONG PAG-AARAL
Authors: Carl Benedict T. Miole  , Benjie F. Salcedo
Published: January 2025

Ang pag-aaral na ito ay naglalayong tukuyin ang kilos sa feedback literacy ng mga mag-aaral ng BSEd medyor sa Filipino ng Kapalong College of Agriculture, Sciences and Technology, pati na rin ang kaugnayan nito sa kasarian at antas ng taon. Gamit ang kwantitatibo at deskriptibong-komparatibong metodolohiya, isinagawa ang sarbey sa 147 mag-aaral sa pamamagitan ng stratified random sampling at Likert scale bilang instrumento. Lumabas sa resulta na mataas ang antas ng kanilang kakayahan sa pagkuha, pag-unawa, at paggamit ng feedback, ngunit bahagyang mas mababa ang kakayahan sa pagbibigay ng feedback at pamamahala ng emosyon. Walang pagkakaiba ang feedback literacy batay sa kasarian, ngunit mayroong pagkakaiba naman ayon sa antas ng taon ng mag-aaral. Iminumungkahi ng pag-aaral na isama ang mga pagsasanay, workshop, at seminar sa pagpapahusay ng feedback literacy bilang bahagi ng mga programa para sa mga guro. Sa kabuoan, ang pag-aaral na ito ay nagbigay ng mahahalagang impormasyon hinggil sa antas ng feedback literacy ng mga mag-aaral ng BSEd Major sa Filipino at ang mga salik na nakaaapekto rito.
MGA SUSING SALITA: literacy, mag-aaral, kilos sa feedback, kuwantitatibo, deskriptibong-komparatibo, stratified random sampling
Retención de información con el uso de ChatGPT 3.5 en estudiantes universitarios
Authors: Álvarez-Landivar Isabela , González Fátima , Mendoza Guillermo
Published: January 2025

This study evaluated the use of Artificial Intelligence in information retention among college students. A quasi-experimental design was employed with a sample of fifty students who were asked to research a topic and complete a questionnaire. Participants were divided into a control group, which used the internet to complete the task, and an experimental group, which exclusively utilized an artificial intelligence chatbot (ChatGPT 3.5). To ensure uniformity in attentional capacity at the start of the experiment, an attentional test was administered prior to the task. Information retention was subsequently assessed through a knowledge test, administered immediately after the task and again one week later. The results indicated that the control group achieved significantly higher scores, suggesting that ChatGPT was less effective in supporting information retention in the short and medium term compared to other research methods.
Revolution of Cloud Technology in Software Development
Authors: - Bhanuprakash Madupati
Published: January 2025

Software development has been fundamentally re-imagined by cloud technology through scalable, available-on-demand services and resources. Enter Infrastructure as a Service (IaaS), followed by Platform as a Service (PaaS) and now Software as a Service (SaaS); these models have disrupted the traditional development landscape enabling organizations to concentrate on their primary applications without investing heavily in infrastructure. And integration of DevOps and Continuous Integration/Continuous Deployment (CI/CD) practices helped to unify the cycle even more by speeding up updates and automating deployments. Cloud technology may offer many benefits, but also brings with it some challenges including data security and privacy both at stake as well as vendor lock-in translates in the form of integration cost impacting legacy infrastructure. In this paper, we will discuss the changes that have occurred in software development with cloud technology and how it works.
The Automation of Claims Processing: A Case Study on UiPath Implementation
Authors: - Sai Sneha
Published: January 2025

In the fast-evolving landscape of business operati- ons, automation has emerged as a vital tool for enhancing efficiency and accuracy, particularly in sectors such as insurance where claims process- ing is critical. Manually handling claims can be labor-intensive, prone to errors, and costly, affect- ing employee satisfaction and customer service. This white paper discusses an automated claims processing system developed using UiPath, focus- ing on a case study where 80 employees previ- ously engaged in manual validation of claims. The automation of this process resulted in a remarka- ble 69 percent reduction in full-time employees (FTE) and a significant decrease in processing err- ors. The implications of such advancements ext- end beyond operational efficiency, highlighting the transformative potential of robotic process autom- ation (RPA) in the insurance industry. This paper aims to illustrate how the integration of an autom- ated claims processing system can revolutionize operational workflows, reduce costs, and enhance accuracy.
IBM Mainframe & Z/OS: Advanced Insights from A Programmer's Perspective
Authors: - Chandra Mouli Yalamanchili
Published: January 2025

Despite all the advancements in distributed technology, IBM mainframes still host a prominent percentage of transaction processing across different market segments, such as healthcare, airlines, financial, stock trading, etc., making IBM mainframe attractive from a prominent technology perspective for developers to adopt.
This paper explores and discusses the architecture of the IBM mainframe from a programmer's perspective to understand critical hardware and software components that support applications running on the mainframe.
Leveraging Gateway Security for Handling Cyber Threats in Banking
Authors: - Gomathi Shirdi Botla
Published: January 2025

Cyber threats in banking pose a persistent challenge, risking financial and reputational damage. This paper explores the critical role of gateway security in safeguarding banking operations, emphasizing middleware platforms like IBM DataPower. We examine the current threat landscape, the inadequacies of traditional security solutions, and the potential of gateway security to address these gaps. Through a detailed analysis of its features and implementation, we demonstrate how gateway security ensures a robust defense against emerging threats, ensuring the resilience of financial systems.
Implementing Secure Architecture and Threat Modeling in Complex Systems
Authors: - Sreekanth Pasunuru
Published: January 2025

The complexity of modern systems has introduced new security challenges as organizations strive to safeguard critical infrastructure. Secure architecture principles are necessary to build resilient systems, while threat modeling enables proactive identification and mitigation of potential security vulnerabilities. This paper explores how secure architecture and threat modeling can be effectively integrated into the development lifecycle of complex systems. It also provides a detailed overview of best practices, common methodologies, and actionable insights to manage emerging security threats. Diagrams, pseudocode, and flowcharts are used to illustrate key concepts and methodologies in threat modeling.
Scalable Cloud Designs for Global Service Dependability
Authors: - Varun Garg
Published: January 2025

The rapid growth of cloud computing has transformed the way global apps work and enables businesses to meet the needs of millions of concurrent users. Particularly for systems seeking low latency, exceptional availability, and efficient resource use, scalability and reliability have become more important than ever. This work explores how scalable designs made possible by Microsoft Azure's cloud architecture support global service reliability. Key areas of focus are techniques for load balancing using Azure Load Balancer and Traffic Manager, distributed data processing using Synapse Analytics, and resource optimization with Azure Cost Management and Monitoring tools. Furthermore, under discussion are emerging technologies altering cloud systems coming forward: artificial intelligence-driven scaling and serverless computing. Combining these technologies helps businesses to maintain business use cases, assure operational quality, and be competitive in a quickly changing digital landscape.
Achieving and Maintaining Compliance with Global Data Security Regulations
Authors: - Sreekanth Pasunuru
Published: January 2025

This white paper explores the critical role of cryptography and data protection methods in achieving and maintaining compliance with global data security regulations, including PCI-DSS, NIST, and GDPR. It delves into the evolving landscape of data security threats and discusses strategies to mitigate risks,
safeguard sensitive information, and ensure regulatory adherence. The paper provides a comprehensive overview of cryptographic techniques, data encryption standards, key management practices, and access controls. Additionally, it highlights the importance of regular security assessments, incident response planning, and employee training to bolster overall data security posture.
Procurement Strategies for Successful Product Launches and Brand Consistency
Authors: - Kosalee Thameera Galkaduwa
Published: January 2025

This study focuses on the significance of procurement strategies in the achievement of product launch and brand stability. The study thus reveals timely sourcing, quality assurance, cost optimization and supplier relations as some of the aspects of procurement practices. It covers aspects of branding through procurement and marketing synchronization and risk management through technological advancements like Artificial Intelligence and Blockchain. Examples include the sustainability strategy of Procuring Coca-Cola and the Cost-Quality Relationship of Procter & Gamble. Overall the author of the study finds that integration and innovative supplier relation management are valuable in procurements and brand management.
Unlocking Efficiency: A Comprehensive Guide to RPA Implementation in Healthcare
Authors: - Sai Sneha Marri
Published: January 2025

Healthcare systems worldwide face mounting challenges, including escalating costs, workforce shortages, and increasing administrative burdens. In this landscape, RPA offers a revolutionary soluti- on by automating repetitive tasks that drain time and resources. RPA bots mimic human actions to process data, handle workflows, and interact with digital systems.
According to industry research, over 30% of healthcare tasks— from administrative duties to patient data management—can be automated. This shift has the potential to save hospitals 15-25% in operational costs annually. Beyond cost savings, RPA enhances accuracy, mitigates compliance risks, and accelerates service deli- very, allowing healthcare professionals to focus on patient care. UiPath stands out as a prefer- red RPA platform, offering intuitive tools, seamless integration with existing systems, and advanced features like artificial intelligence (AI) and machine learning (ML). Its user-friendly interface enables even non-technical staff to design and deploy automation solutions, making it an ideal choice for healthcare providers looking to modernize their operations.
MDG as a Strategic Tool for Accelerating M&A Data Migration and Modernization
Authors: - Arun Chinnannan Balasubramanian
Published: January 2025

The rise in mergers and acquisitions (M&A) has highlighted the critical need for robust data management and migration tools. Data consolidation and modernization are central to achieving synergies in M&A transactions. SAP Master Data Governance (SAP MDG) emerges as a strategic enabler in streamlining and accelerating the data migration process while ensuring data integrity and quality. This white paper explores SAP MDG's role in addressing data migration challenges during M&A, its architecture, capabilities, and strategic value for data modernization initiatives. The paper provides detailed examples, discusses implementation strategies, and concludes with an evaluation of SAP MDG's long-term benefits for organizations engaging in M&A.
An Analysis of Semiconductor Manufacturing: Current Trends and Challenges
Authors: - Ronak Italia
Published: January 2025

Semiconductor manufacturing is a critical driver of technological innovation, powering advancements in electronics, computing, and communication systems. This paper explores the current trends, challenges, and future outlook for semiconductor manufacturing, with a focus on technological innovations such as 3D ICs, photonic-electronic integration, and next-generation lithography techniques. As the industry continues to push for smaller, more efficient devices, challenges related to material limitations, process variation, thermal management, and sustainability are becoming more pronounced. The paper also highlights the role of advanced manufacturing techniques, automation, and metrology in overcoming these challenges. The future of semiconductor manufacturing will be shaped by these developments, alongside a continued emphasis on sustainability and energy efficiency.
Effectiveness of Beamforming Techniques on 5G Networks
Authors: - Aqsa Sayed
Published: January 2025

5G networks promise substantial improvements in speed, latency, and connectivity. Beamforming techniques are critical in realizing these improvements. Beamforming optimizes signal transmission and reception by focusing energy toward specific receivers, significantly enhancing network capacity and efficiency. This paper explores how beamforming techniques contribute to 5G performance, examining various types of beamforming, including analog, digital, and massive MIMO-based systems. It further
addresses the benefits of these techniques in improving data rates, reducing interference, and maximizing spectrum efficiency. The challenges faced in implementing beamforming, such as hardware complexity and real-time adaptation, are also discussed. The paper concludes with future trends, including AI-driven beamforming and energy-efficient implementations.
Versions of the .Net Framework's Architecture Run From 2.0 to 4.5
Authors: - AzraJabeen Mohamed Ali
Published: January 2025

This paper discusses .Net framework architecture and its versions. The study's main research question explores the intricate relationship between different versions of .Net Framework architecture and recognized standards in order to comprehend their synergy and impacts on the user experience. From a methodological perspective, this study is based on a detailed analysis of existing industry practices, as well as a comprehensive evaluation of .net frameworks and emerging standards. Through meticulous observation and critical analysis, the study dissects key components of framework architecture, shedding light on the fine line that separates innovation from adherence to established conventions. The study's key findings provide insight into the intricate connection between standard compliance and creative design. The article describes how these factors affect user engagement, website performance, and the overall viability of digital platforms. Designers and developers may navigate the difficult terrain of modern frameworks with the aid of insights gleaned from in-depth research. In addition to theoretical concerns, the study's implications offer practical guidance for business professionals. It's crucial to understand how .Net architecture and standards work together as the version evolves. The findings emphasize how important it is to strike a balance between originality and norm compliance to foster a digital environment where innovation meets user expectations.
Covid-19 Pandemic Impact on Child Welfare System
Authors: - Rashmi Mandayam
Published: January 2025

The COVID-19 pandemic has profoundly disrupted the child welfare system, exacerbating existing challenges such as underfunding, inconsistent policy enforcement, and workforce shortages, while creating new obstacles for child protection, family preservation, and service delivery. These systemic challenges, present long before the pandemic, have historically hindered the system’s ability to operate effectively across states and jurisdictions. The absence of a unified national strategy for addressing child abuse and neglect further magnified the disparities in service delivery, leaving vulnerable populations without adequate support. This paper examines the pandemic’s impact on the U.S. child welfare system, emphasizing changes in reporting mechanisms, service accessibility, and outcomes for vulnerable populations. It also explores adaptations in service delivery, the role of technology, and policy recommendations to address systemic inefficiencies and inequities.
FinNext: An Intelligent System for Real-Time Financial Product Recommendation Using Customer Transaction Patterns and Market Dynamics
Authors: - Anirudh Reddy Pathe
Published: January 2025

This paper presents FinNext, an intelligent recommendation system for real-time financial product suggestions based on customer transaction patterns and market dynamics. Leveraging advanced machine learning techniques, FinNext aims to enhance customer satisfaction and financial service providers' offerings by providing tailored recommendations based on individual financial behaviors and current market conditions. By integrating both transaction data and external market data, the system adapts to market fluctuations, optimizing financial advice for users in a dynamic economic environment. Few researches, meanwhile, have computed the similarity between utilizing product and customer data. As a result, a confusion matrix is used in this study to produce affinity variables that mix product and consumer data. In order to improve forecasting effectiveness in massive analysis data, a variety of derived variables are also developed. A sliding-window technique is taken into consideration to build the recommendation model in this study, which applies a variety of data mining classifiers, including decision trees, neural networks, support vector machines, random forests, and rotation forests.
Advancements and Challenges in Medication Therapy Management: Improving Patient Outcomes Through Enhanced Pharmacist Interventions
Authors: - Adinarayana Andy
Published: January 2025

Medication therapy management is a vital service that attempts to improve individual patient treatment outcomes by addressing ineffective, unnecessary drug therapy, and polypharmacy. It increases both the quality of care and the overall satisfaction of patients. However, executing such initiatives can be difficult due to the presence of numerous obstacles. These issues must be recognized, carefully evaluated and understood in order to successfully implement such programs in community pharmacies. This paper identifies various challenges associated during implementation and manage such complex program in the patient care.
Digital Transformation in Retail
Authors: - Vivek Jain
Published: January 2025

Digital transformation is reshaping the retail landscape, driven by advancements in technology, evolving consumer behavior, and competitive market dynamics. This paper explores the impact of digital transformation on the retail sector, highlighting its role in enhancing customer experience, streamlining operations, and enabling data-driven decision-making. We examine key technologies such as artificial intelligence (AI), Internet of Things (IoT), and cloud computing, and their application in retail. The study also delves into challenges and future trends, providing a comprehensive overview for practitioners and researchers.
The State of Cloud Adoption in Healthcare
Authors: - Anand Laxman Mhatre
Published: January 2025

Although legacy systems have been supporting operations in the healthcare sector for long, their efficacy in the modern age is dwindling. These systems are costly, insecure, and less scalable. Cloud technology is emerging as the most suitable alternative to legacy systems. The technology is relatively affordable, scalable, and features futuristic security mechanisms. This document discusses legacy technologies’ limitations in the healthcare sector and how cloud technology is bridging these issues. The document also explores adoption of the technology in the sector and how barriers to cloud migration can be addressed.
The Role of AI in Optimizing Dispatching and Route Planning
Authors: - Bhavya Vashisht
Published: January 2025

The trucking industry in the United States is a cornerstone of the supply chain, facing challenges such as inefficiencies in dispatching, high operational costs, and unpredictable delays. Artificial Intelligence (AI) has emerged as a transformative tool, offering innovative solutions to these challenges through
optimized dispatching and route planning. This paper explores the role of AI in enhancing fleet utilization, reducing costs, and ensuring timely deliveries. By leveraging machine learning, predictive analytics, and geospatial data, AI enables dynamic decision-making and route optimization tailored to
real-time conditions. This study also examines the financial and environmental benefits of AI adoption, highlights implementation challenges, and reviews successful applications within the industry. Through a detailed analysis, the paper underscores AI's potential to revolutionize logistics, creating a
more efficient and sustainable trucking ecosystem
AI Payment Gateways: The Silent Guards of Your Transactions
Authors: - Puneet Sharma
Published: January 2025

In the bustling ecosystem of digital payments, where trillions of dollars traverse virtual highways, security and efficiency stand as paramount pillars. AI-powered payment gateways have emerged as unyielding sentinels, silently orchestrating seamless transactions while vigilantly combating fraud and minimizing
disruptions. Unlike traditional rule-based systems, these AI-driven solutions leverage adaptive algorithms, predictive analytics, and deep learning to decode complex behavioral patterns, ensuring that every transaction is both secure and fluid. This paper explores the transformative role of AI in payment gateways, focusing on areas such as anomaly detection, real-time decision-making, risk management, and user personalization. It delves into the intricacies of federated learning, adversarial resilience, and the burgeoning field of explainable AI (XAI),
offering insights into how these technologies redefine trust in digital commerce. As e-commerce and fintech expand, AI payment gateways stand as indispensable architects of a secure and inclusive financial future.
Developing QML Remote Machine UI (RMUi) Application
Authors: - Binoy Kurikaparambil Revi
Published: January 2025

It is often desirable to install lightweight, high-UI-rich applications that do not contain core technologies but simply expose data and UI controls on a remote machine. In many scenarios, it is advantageous to install lightweight applications on client systems that offer a rich user interface while not directly incorporating core functionalities. Instead, these applications focus on effectively presenting data from a remote machine. Developing a QML application using the QT framework as a Remote Machine User Interface(RMUi) provides such an advantage.
Exploring Confluence: Enhancing Collaboration and Knowledge Management in Modern Organizations
Authors: - Harika Sanugommula
Published: January 2025

Confluence, a collaborative workspace platform, has gained significant traction in organizational knowledge management and project collaboration. This paper provides an in-depth analysis of Confluence's role in enhancing team productivity, enabling information sharing, and fostering collaborative workflows in both remote and hybrid work settings. We examine the alternative tools for confluence, features of Confluence. Findings suggest that Confluence not only improves team communication but also enables a centralized knowledge repository that can scale with organizational growth. The paper concludes by discussing potential improvements and future implications for knowledge management technologies.
Targeted Physical Therapy Interventions for Urinary Incontinence: Enhancing Quality of Life and Preventing Recurrence in Men and Women
Authors: - Laljibhai Makwana MS, DPT
Published: January 2025

Urinary Incontinence (UI) is a widespread condition seen in men and women with physical, psychological and social consequences. A condition characterized by involuntary loss of urine due to pelvic floor muscle dysfunction, bladder overactivity or a combination of causes. It also affects quality of life and puts affected children at risk for anxiety, depression and social withdrawal. However, physical therapy has gained a reputation as a highly effective noninvasive treatment route for UI. Remarkable success in reducing episodes of UI and improving bladder control has been shown with targeted interventions, including pelvic floor muscle training (PFMT), bladder retraining and electrical stimulation. Kegel exercises such as pelvic floor muscle training strengthen the pelvic floor so it can support the bladder and urethra the way it should. Bladder retraining involves improving voiding habits and reducing urgency and electrical stimulation is used to activate underused pelvic floor muscles and inhibit overactive bladder activity. There is a significant consideration of gender specifics, such as postpartum and post-prostatectomy needs requiring tailored therapy. Using biofeedback and wearable devices, treatment outcomes are being improved by delivering real time feedback and encouraging adherence to therapy. Additionally, virtual platforms and telerehabilitation also enhance accessibility by functioning as guided exercises and educational resources. The evidence supports the considerable benefits of physical therapy for reducing UI recurrence and improving quality of life, and the need for structured and personalized approaches. The mechanisms, interventions, and outcomes of targeted physical therapy for UI are reviewed here, with a special reference to its use to prevent recurrence and restore confidence in activities of daily living. Focusing in part on addressing barriers to care and incorporating innovative technologies will further improve outcomes for all individuals.