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Journal articles on the topic 'Data-backed strategies'

Author: Grafiati
Published: 5 June 2025
Last updated: 2 August 2025

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1

Raghunath, Reddy Koilakonda. "Streamlining Processes and Optimizing Resource Allocation through Data-Backed Strategies." Journal of Scientific and Engineering Research 8, no. 12 (2021): 281–87. https://doi.org/10.5281/zenodo.13347992.

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In a fiercely competitive environment, organizations are embracing data-backed approaches as they continue to boost resource allocation and streamline procedures. The important intersection of process optimization approaches with contemporary data analytics tools is examined in this paper. Organizations can find inefficiencies in their operations and processes by using these techniques. One of the most important productivity-boosting tactics is to automate monotonous chores. This allows teams to concentrate on high-value work. Through the strategic deployment of resources, firms can enhance pr
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Alakent, Ekin, Mine Ozer, and M. Sinan Goktan. "The effect of venture capital backing on companies’ subsequent lobbying efforts." Journal of Entrepreneurship and Public Policy 8, no. 2 (2019): 241–53. http://dx.doi.org/10.1108/jepp-07-2019-109.

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Purpose The purpose of this paper is to explore the effect of venture capital (VC) funding as a form of ownership on lobbying strategies of venture-backed companies. Design/methodology/approach The sample consists of venture-backed IPO companies between 1999 and 2014. The authors collected IPO data from the Thompson Securities Data Company (SDC) database. The authors collected VC data from SDC VentureXpert database and lobbying data from the Center for Responsive Politics database (opensecrets.org). Findings Consistent with the hypotheses, the authors find that VC-backed companies spend less o
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Jain, Shikha, Jessica M. Allan, and Rakhee K. Bhayani. "System-Wide Change Is Essential to Value the Contributions of Women in Medicine and Science." Journal of Medical Internet Research 25 (September 22, 2023): e52509. http://dx.doi.org/10.2196/52509.

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The persistent and pervasive gender gap in health care is a fact backed by data, science, and evidence. This editorial aims to describe some of the challenges that continue to persist. Many of the strategies outlined can be implemented both locally and nationally to effect meaningful change and work toward closing the existing gender gap in health care.
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Koneni, Venugopal. "Designing Scalable Java Architectures on AWS: Strategies and Best Practices." International Journal for Research in Applied Science and Engineering Technology 12, no. 9 (2024): 416–23. http://dx.doi.org/10.22214/ijraset.2024.63850.

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This article explores strategies and best practices for designing scalable Java architectures on Amazon Web Services (AWS). It addresses the growing need for robust, scalable systems due to increasing global internet traffic and the prevalence of AWS in cloud-native applications. The paper examines key architectural approaches, including microservices, serverless computing, and containerization, alongside essential AWS services for load balancing, auto-scaling, data management, and security. It presents research-backed insights on the benefits of these strategies, such as improved performance,
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Gia Anisa and Fitria Widianingsih. "SolarWinds Attack: Stages, Implications, and Mitigation Strategies in the Cyber Age." Electronic Integrated Computer Algorithm Journal 2, no. 1 (2024): 47–52. http://dx.doi.org/10.62123/enigma.v2i1.31.

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SolarWinds is a software company based in the United States that provides IT monitoring and management tools. Founded in 1999, SolarWinds offers a variety of products that help organizations manage networks, systems, IT infrastructure, applications and cloud-based services. SolarWinds products are used for performance monitoring, log management, IT security, and data analysis. The company became widely known after a major cybersecurity incident came to light in late 2020, in which their network management software, Orion, was used as a vector for attacks by a state-backed hacking group. These
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Afzal, Naeem. "Discursive Strategies and Media Representation of Conflicts." International Journal of English Linguistics 9, no. 2 (2019): 1. http://dx.doi.org/10.5539/ijel.v9n2p1.

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The media’s tendency to widely represent conflicts, through legitimization or de- legitimization, makes us believe that media narratives may not be perceived as ‘neutral stances’ for the public consumption. This study investigates the policy of a mainstream newspaper, The News International (NI), in Pakistan and discursive strategies manipulated by its editorial writers to portray the Arab Spring. It, specifically, examines how the selected newspaper editorials thematically constructed the uprising; (re) formulated the public opinion by echoing the Arab Spring-cen
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Flandreau, Marc, and Juan H. Flores. "Bonds and Brands: Foundations of Sovereign Debt Markets, 1820–1830." Journal of Economic History 69, no. 3 (2009): 646–84. http://dx.doi.org/10.1017/s0022050709001089.

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How does sovereign debt emerge? In the early nineteenth century, intermediaries' market power and prestige served to overcome information asymmetries. Relying on insights from finance theory, we argue that capitalists turned to intermediaries' reputations to guide their investment strategies. Intermediaries could in turn commit or else they would lose market share. This sustained the development of sovereign debt. This new perspective is backed by archival evidence and empirical data, and it suggests why strong but undemocratic states could borrow.“A good name is worth more than a gem.”Yiddish
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Peace, Kristin. "Mintel Reports." Charleston Advisor 25, no. 4 (2024): 26–32. http://dx.doi.org/10.5260/chara.25.4.04.

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Mintel Reports provides solid market intelligence for both academic and commercial institutions. The reports offer in-depth analyses of consumer demographics and psychographics, market status, trend forecasts, competitive strategies, and case studies, all backed by interactive data visualizations. The 2023 upgrade formats these analyses and data into a clean, easy-to-read, easy-to-use layout, with smart infographics and multiple options for saving, sharing, and creating. The more mobile-friendly navigation, despite some accessibility issues, is much improved from the legacy product. Mintel Rep
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Amoto, Jeena A. "Challenges and Coping Strategies of Night Junior High School Learners in Learning Sequences and Series Through Mathematics in a Box." Jurnal Multidisiplin Madani 3, no. 12 (2023): 2505–16. http://dx.doi.org/10.55927/mudima.v3i12.3730.

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This research aimed to explore the challenges and coping strategies of night junior high school learners in learning sequences and series through Mathematics in a Box. It involved a case study of a class of grade 10 Night Class learners in the Philippines. The principles of constructionism and symbolic interactionism backed up the thematic analysis of the data. During a six-week conversation, classroom observations and journal writing were done. Five learners participated in one-on-one interviews, and 10 in focus group interviews. Participants struggled with understanding, intricacy of rules,
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Kaneesamkandi, Zakariya, Ateekh Ur Rehman, Yusuf Siraj Usmani, and Usama Umer. "Methodology for Assessment of Alternative Waste Treatment Strategies Using Entropy Weights." Sustainability 12, no. 16 (2020): 6689. http://dx.doi.org/10.3390/su12166689.

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Energy recovery from municipal solid waste is one of the means to attain sustainable development. Multiple factors involving several location specific situations, both measurable and intangible, makes decision making for technology selection very difficult. In this paper, a multi criterion evaluation system for municipal solid waste treatment strategies is established on the basis of specific, measurable, attainable, relevant and trackable situations, to prove the effectiveness of this method. From among various alternatives, three prominent strategies, namely, incineration, anaerobic digestio
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UTAMA, Zahera Mega, and Siti ASYIAH. "STRATEGIES FOR ORGANIZATIONAL CHANGE AT RAGUNAN ZOO PARK TO ACHIEVE SUCCESS IN IMPLEMENTING INFORMATION TECHNOLOGY." ICCD 6, no. 1 (2024): 522–27. http://dx.doi.org/10.33068/iccd.v6i1.718.

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This research aims to analyze the organizational change strategy at Ragunan Wildlife Park for successfully implementing information technology, using Leavitt's Diamond model. The study employs a qualitative approach and a case study method, guided by a constructivist research paradigm and purposive sampling. Data were gathered through in-depth interviews and analyzed qualitatively using the filling system method. The findings reveal that change management at Ragunan Wildlife Park, guided by the Leavitt model, demonstrates that the implementation of information technology has led to technologic
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Ayobami, Miss Adedeji. "Fortifying the Digital Stronghold: Strategies for Enhancing Cybersecurity Resilience and Protecting Essential Networks." International Journal of Research and Innovation in Social Science VIII, no. VIII (2024): 2326–29. http://dx.doi.org/10.47772/ijriss.2024.8080175.

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In an era where everything is connected, governments and businesses must safeguard themselves against new and sophisticated threats. Focusing on the given topic, the purpose of this paper is to discuss higher levels of cybersecurity development. Other measures include using AI solutions to identify threats, using the zero-trust security model concept, and creating effective incident response plans. All of these measures have the objective of containing threats from high-risk attacks like ransomware, state-backed hackers, and supply chain compromise. In this way, acquiring fresh approaches for
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Arvapalli, Sreenu. "The Evolution of SAP SD: From On-Premise to Cloud Solutions." European Journal of Computer Science and Information Technology 13, no. 38 (2025): 132–44. https://doi.org/10.37745/ejcsit.2013/vol13n38132144.

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This article examines the evolution of SAP Sales and Distribution (SD) from traditional on-premise implementations to modern cloud-based solutions within the SAP S/4HANA environment. It explores the technological journey through five key areas: introduction to SAP SD's historical development, the architectural transformation from complex to simplified structures, the emergence of cloud-based innovation ecosystems, the transformation of core sales and distribution functions, and migration strategies with future technological directions. The investigation draws on comprehensive studies across mu
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Kobilov, Alisher, Sadinov Aziz Ziyadullaevich, Rajabov Sherzod, Zulfiya Madrakhimova, Komila Ishankulova, and Lolakhon Klichevna. "Evaluating the efficacy of state-aided programs in transforming agricultural enterprises through advanced digital management platforms." BIO Web of Conferences 175 (2025): 01003. https://doi.org/10.1051/bioconf/202517501003.

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Government-supported digital management platforms have enabled the formulation of multiple policy frameworks with considerable economic, technological, and operational benefits. As little is known about where digital transformation is gaining momentum beyond developed economies and large-scale agribusinesses, the purpose of this study is to map in what contexts of agricultural operations it is perceived to gain traction. Drawing on data from survey responses and interviews in government-supported agricultural enterprises, we identify a long tail of policy-driven initiatives and regional fundin
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Riaz, Samreen, Brekhna Jamil, Ubaidullah, Mohammed Ijaz Khan, Ayaz Ul Haq, and Saima Norin. "Coping Strategies of Derogatory Comments and Cynical Humor in Clinical Teaching among Dental Students." Annals of Punjab Medical College 18, no. 2 (2024): 116–20. http://dx.doi.org/10.29054/apmc/2024.1537.

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Objective: To identify the strategies students adopt to cope with derogatory comments from senior clinicians and/or teachers. Study Design: Qualitative study. Settings: The study was done at Punjab medical college (PMC) dental institute, Faisalabad medical University, Faisalabad Pakistan. Duration: 6 months from 01-03-2023 to 31-08-2023. Methods: The study was a qualitative phenomenological study. Final year bachelors of dental surgery students from one public and one private-sector institute were enrolled in this study. Semi-structured interviews of 10 students were conducted. Data collected
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Yazhou, Qin. "Optimizing Rehabilitation Strategies for Sports Injuries: A Comprehensive Analysis of Evidence-Based Interventions and Rehabilitation Protocols." International Journal of Scientific and Management Research 06, no. 07 (2023): 01–15. http://dx.doi.org/10.37502/ijsmr.2023.6701.

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Athletes commonly become injured during competition, emphasizing the necessity for appropriate recovery. This research examines if standard sporting injury treatments and rehabilitation work in China. The issue Despite the high occurrence of sports injuries in China, rehabilitation therapy efficacy research is scarce. Interview-based research addresses such problems. This research examines how different therapy and rehabilitation programs help Chinese athletes recover from competition-related injuries. The researchers interviewed wounded athletes to acquire data. Structured interviews were con
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Zagallo, Patricia, Shanice Meddleton, and Molly S. Bolger. "Teaching Real Data Interpretation with Models (TRIM): Analysis of Student Dialogue in a Large-Enrollment Cell and Developmental Biology Course." CBE—Life Sciences Education 15, no. 2 (2016): ar17. http://dx.doi.org/10.1187/cbe.15-11-0239.

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We present our design for a cell biology course to integrate content with scientific practices, specifically data interpretation and model-based reasoning. A 2-yr research project within this course allowed us to understand how students interpret authentic biological data in this setting. Through analysis of written work, we measured the extent to which students’ data interpretations were valid and/or generative. By analyzing small-group audio recordings during in-class activities, we demonstrated how students used instructor-provided models to build and refine data interpretations. Often, stu
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Kayusi, Fredrick, Srinivas Kasulla, S. J. Malik, and Petros Chavula. "Article Context and Technological Integration: AI's Role in Climate Change Research." LatIA 3 (February 19, 2025): 85. https://doi.org/10.62486/latia202585.

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This article explores the transformative role of artificial intelligence and machine learning in tackling climate change. It highlights how advanced computational techniques enhance our understanding and response to environmental shifts. Machine learning algorithms process vast climate datasets, revealing patterns that traditional methods might overlook. Deep learning neural networks, particularly effective in climate research, analyze satellite imagery, climate sensor data, and environmental indicators with unprecedented accuracy. Key applications include predictive modeling of climate change
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Choi, June, Jaehyun Lee, Jik-Soo Kim, and Jaehwan Lee. "Optimization Techniques for a Distributed In-Memory Computing Platform by Leveraging SSD." Applied Sciences 11, no. 18 (2021): 8476. http://dx.doi.org/10.3390/app11188476.

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In this paper, we present several optimization strategies that can improve the overall performance of the distributed in-memory computing system, “Apache Spark”. Despite its distributed memory management capability for iterative jobs and intermediate data, Spark has a significant performance degradation problem when the available amount of main memory (DRAM, typically used for data caching) is limited. To address this problem, we leverage an SSD (solid-state drive) to supplement the lack of main memory bandwidth. Specifically, we present an effective optimization methodology for Apache Spark b
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Kiran, Kumar Voruganti. "Federated Machine Learning for Collaborative DevOps in Multi-Tenant Cloud Environments." Journal of Scientific and Engineering Research 7, no. 10 (2020): 230–38. https://doi.org/10.5281/zenodo.12666973.

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Federated Machine Learning (FML) represents a transformative approach to collaborative DevOps, particularly within multi-tenant cloud environments. By enabling decentralized machine learning model training across various data sources without necessitating data centralization, FML enhances data privacy, security, and compliance, crucial aspects for multi-tenant cloud platforms. This research delves into the integration of FML within DevOps practices, highlighting its potential to address key challenges such as data security, model accuracy, and operational efficiency. Key findings from the stud
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Cheng, Rui, Renyun Zhang, Jiawei Li, Zhuxi Xiao, and Wenhao Fan. "Analyzing the Role of Asset-Backed Securities: A Case Study of JD.com Group's Liquidity and Risk Management." Advances in Economics, Management and Political Sciences 202, no. 1 (2025): 123–33. https://doi.org/10.54254/2754-1169/2024.24908.

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This study examines JD.com's utilization of asset-backed securities (ABS) as a financial tool to enhance liquidity and manage risk, particularly within the regulatory environment of China. The research investigates the impact of JD.com's consumer credit ABS on its financial stability and evaluates the effectiveness of its risk management strategies. Through case studies, financial data analysis, and comparisons with other fintech firms, the study identifies key benefits and potential risks associated with JD.com's ABS strategy. Preliminary findings suggest that while ABS products have provided
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Mostern, Ruth, and Marieka Arksey. "Don't Just Build It, They Probably Won't Come: Data Sharing and the Social Life of Data in the Historical Quantitative Social Sciences." International Journal of Humanities and Arts Computing 10, no. 2 (2016): 205–24. http://dx.doi.org/10.3366/ijhac.2016.0170.

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Historians and historical quantitative social scientists, motivated by a renewed interest in quantitative history and by sophisticated tools for digital infrastructure, are developing data repositories for global-scale and collaborative analysis. However, their archives have been slow to grow. This article is directed toward historians who are contemplating such projects. Repository development is very valuable. On the other hand, studies show that repository projects that rely upon voluntary contribution from numerous researchers seldom reach critical mass. Our surveys and our study of the Co
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Moseti, Irene Moraa, and Stephen Mutula. "STRATEGIES FOR MANAGING SCHOLARLY CONTENT AT UNIVERSITIES IN KENYA." Mousaion: South African Journal of Information Studies 34, no. 1 (2016): 56–82. http://dx.doi.org/10.25159/0027-2639/639.

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This study investigated strategies employed by universities in Kenya for managing scholarly content. The study was underpinned by the Conversation Theory and the Knowledge Management Process Model and was based on the post-positivist paradigm. A survey was conducted within a multiple case study design. The population of the study consisted of academic staff, postgraduate students, university librarians and representatives of university research units from six universities in Kenya. Self-administered questionnaires were used to collect data from academic staff and postgraduate students while ke
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Tariq, Beenish, Sadaf Taimoor, Hammad Najam, Rob Law, Waseem Hassan, and Heesup Han. "Generating Marketing Outcomes through Internet of Things (IoT) Technologies." Sustainability 12, no. 22 (2020): 9670. http://dx.doi.org/10.3390/su12229670.

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This paper highlights the effectiveness of data stored from the operational use of Internet of Things (IoT) technologies for generating marketing-related outcomes, such as business intelligence for product development, product support, and customer relationship management (CRM), by exploring this research domain under the lens of the well-established means–ends theory. This study conducted a multidisciplinary literature review to develop the conceptual framework. Moreover, a smart refrigerator was chosen as an example to demonstrate how the analysis of data stored from the operational use of I
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S. Alshaye, Moayad, and Rami AlAmoudi. "Transforming the steel industry supply chain: strategies for optimization, sustainability and resilience." International Journal of Basic and Applied Sciences 14, no. 1 (2025): 422–34. https://doi.org/10.14419/61zbgk64.

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The steel supply chain, a critical component of the global economy, ‎is increasingly facing inefficiencies. The challenges reduce efficiency-‎cy and present an opportunity to enhance sustainability. This study ‎will deal with three main aspects: First, it will forecast steel prices ‎based on global GDP trends so that demand volatility can be miti-‎gated by linear regression model; second, it will reduce land trans-‎portation costs by a linear programming approach which means ‎minimizing the number of trips needed for delivery; and third, it will ‎make regulatory compliance better by studying s
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Rozukalne, Anda, Sergejs Kruks, Alnis Stakle, and Ilva Skulte. "A Representation of migration in Latvian mass media (2015 – 2016): Deny voice to the voiceless." Informacijos mokslai 87 (April 23, 2020): 13–35. http://dx.doi.org/10.15388/im.2020.87.24.

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The main focus of the research is the representation of migration in Latvian media. In total, 860 publications were analysed covering both Latvian and Russian speaking media content, and the following two methodological approaches were applied: the framing analysis of textual and visual content, and historical discourse analysis in order to reveal the arguments and strategies behind the justification of intolerance.
 The research data reveals that the framing of migration in Latvian media is left in the hands of politicians and officials. Economic strains and threat argumentation topoi do
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Trzaska, Rafał, Adam Sulich, Michał Organa, Jerzy Niemczyk, and Bartosz Jasiński. "Digitalization Business Strategies in Energy Sector: Solving Problems with Uncertainty under Industry 4.0 Conditions." Energies 14, no. 23 (2021): 7997. http://dx.doi.org/10.3390/en14237997.

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Digital transformation is a concept based on the use of digitalization and digitization. Digitalization leads to change of business models and provides a competitive advantage also in the energy sector. The process of change towards a digital business requires a specific strategy type, aimed to solve problems with uncertainty caused by Industry 4.0 implementation. This paper aims to propose a theoretical model combining different digitalization strategies and business models. Their theoretical foundations were discussed in the literature review part and related empirical research questions wer
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Chinnobaiah, Sandeep. "A Business Development Strategy for India's Rail Company Ircon in Expanding Businesses to Asia, Africa and Middle East." International Journal of Asian Business and Information Management 7, no. 4 (2016): 19–35. http://dx.doi.org/10.4018/ijabim.2016100102.

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The Ircon is one of the key players in the market of transportation infrastructure development backed by Indian government and Indian railways. It has successful presence in various locations such as Malaysia, Algeria, Mozambique, Srilanka and India. The objective of the company is to expand globally to get lucrative projects simultaneously sustain competition locally and overseas. The idea is to devise a strategic marketing plan based on infrastructure spending data, location accessibility and market friendliness of the target market countries. The research design carried out was of comprehen
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Dai, Susie Y. "Critical Role of Reliable Measurement in Regulatory Science." Journal of Regulatory Science 3, no. 1 (2015): i—ii. http://dx.doi.org/10.21423/jrs.regsci.3116.

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The Food Safety Modernization Act (FSMA) has made prevention the cornerstone of a sustainable food safety system; therefore, a need exists for measurement tools to effectively monitor food for safety and quality. A preventive program requires reliable testing of all food products to ascertain the necessary protective steps to safeguard the food chain. Accordingly, the monitoring and surveillance systems need to be backed up by an effective, accurate, and task-specific measurement system. Metrology has highlighted two important features for reliable measurement, namely traceability and uncertai
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A. Abu-Ein, Ashraf, Obaida M. Al-Hazaimeh, Alaa M. Dawood, and Andraws I. Swidan. "Analysis of the current state of deepfake techniques-creation and detection methods." Indonesian Journal of Electrical Engineering and Computer Science 28, no. 3 (2022): 1659. http://dx.doi.org/10.11591/ijeecs.v28.i3.pp1659-1667.

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Deep learning has effectively solved complicated challenges ranging from large data analytics to human level control and computer vision. However, deep learning has been used to produce software that threatens privacy, democracy, and national security. Deepfake is one of these new applications backed by deep learning. Fake images and movies created by Deepfake algorithms might be difficult for people to tell apart from real ones. This necessitates the development of tools that can automatically detect and evaluate the quality of digital visual media. This paper provides an overview of the algo
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Rocha, Joana, Ana Maria Mendonça, and Aurélio Campilho. "Review on Deep Learning Methods for Chest X-Ray based Abnormality Detection and Thoracic Pathology Classification." U.Porto Journal of Engineering 7, no. 4 (2021): 16–32. http://dx.doi.org/10.24840/2183-6493_007.004_0002.

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Backed by more powerful computational resources and optimized training routines, deep learning models have proven unprecedented performance and several benefits to extract information from chest X-ray data. This is one of the most common imaging exams, whose increasing demand is reflected in the aggravated radiologists’ workload. Consequently, healthcare would benefit from computer-aided diagnosis systems to prioritize certain exams and further identify possible pathologies. Pioneering work in chest X-ray analysis has focused on the identification of specific diseases, but to the best of the a
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Wahome, Lucy Mumbi, and Leon Awiti,PhD. "AN ASSESSMENT OF THE ADOPTION OF OUTCOME HARVESTING AS AN EVALUATION APPROACH: A CASE OF SELECTED NON-GOVERMENTAL ORGANIZATIONS IN NAIROBI COUNTY, KENYA." International Journal of Business Management and Economic Review 07, no. 03 (2024): 01–16. http://dx.doi.org/10.35409/ijbmer.2024.3575.

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This study investigated the implementation of outcome harvesting as an evaluation tool within the nonprofit sector. Specifically, it examined its effectiveness, identified challenges, and proposed adoption strategies. Conducted as a descriptive survey, 30 monitoring and evaluation professionals from 15 NGOs in Nairobi were selected via purposive sampling. Data were gathered through semistructured interviews and analyzed with SPSS v27 and content analysis. Findings indicate that outcome harvesting is a key evaluation method, with 48% of respondents highlighting its efficacy in impact reporting
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Ashraf, A. Abu-Ein1, M. Al-Hazaimeh2 Obaida, M. Dawood3 Alaa, and I. Swidan3 Andraws. "Analysis of the current state of deepfake techniques-creation and detection methods." Indonesian Journal of Electrical Engineering and Computer Science 28, no. 3 (2022): 1659–67. https://doi.org/10.11591/ijeecs.v28.i3.pp1659-1667.

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Deep learning has effectively solved complicated challenges ranging from large data analytics to human level control and computer vision. However, deep learning has been used to produce software that threatens privacy, democracy, and national security. Deepfake is one of these new applications backed by deep learning. Fake images and movies created by Deepfake algorithms might be difficult for people to tell apart from real ones. This necessitates the development of tools that can automatically detect and evaluate the quality of digital visual media. This paper provides an overview of the algo
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34

CHENGAI, WU, and Jung-Bum Wee. "The Impact of COVID-19 on MBS Prepayment Rates." Korean Journal of Financial Studies 54, no. 3 (2025): 211–32. https://doi.org/10.26845/kjfs.2025.06.54.3.211.

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This study empirically examines the impact of COVID-19 on the prepayment rates of mortgage-backed securities (MBS), using monthly data from the Korea Housing Finance Corporation (KHFC) spanning June 2004 to December 2022. The analysis reveals that prepayment rates declined during the pandemic, primarily because borrowers prioritized liquidity amid heightened employment insecurity, reduced income, and broader economic uncertainty. Notably, increased market volatility—reflected in indicators such as the VIX—and rising base interest rates further discouraged prepayment behavior. However, these be
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Gikandi, Alice Wangui. "Family-Based Intervention Strategies and Substance use Disorders among the Youths in Selected Rehabilitation Centers in Nairobi, Kenya." International Journal of Research and Innovation in Social Science VII, no. X (2023): 601–11. http://dx.doi.org/10.47772/ijriss.2023.701049.

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This study investigated the influence of family-based interventions strategies and substance use disorders among the youth in the rehabilitation centres in Nairobi, Kenya. The study was guided by the family structure theory. The research approach was qualitative and phenomenological design was used. The target population was 303 youth in selected rehabilitation centers in Nairobi County, aged between 18-35 years and their parents. A sample of 12 clients who had stayed in rehabilitation centers for the longest time were purposively selected in order to provide qualitative data. Similarly, 12 pa
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Minciună, Dorina Adelina, Demetra Gabriela Socolov, Attila Szőcs, et al. "AnnoCerv: A new dataset for feature-driven and image-based automated colposcopy analysis." Acta Universitatis Sapientiae, Informatica 15, no. 2 (2023): 306–29. http://dx.doi.org/10.2478/ausi-2023-0019.

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Abstract Colposcopy imaging is pivotal in cervical cancer diagnosis, a major health concern for women. The computational challenge lies in accurate lesion recognition. A significant hindrance for many existing machine learning solutions is the scarcity of comprehensive training datasets. To reduce this gap, we present AnnoCerv: a comprehensive dataset tailored for feature-driven and image-based colposcopy analysis. Distinctively, AnnoCerv include detailed segmentations, expert-backed colposcopic annotations and Swede scores, and a wide image variety including acetic acid, iodine, and green-fil
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Shinde, Shilpa. "Bridging the Skill Gap to Reduce Attrition: The Role of PMKVY in Enhancing Workforce Retention in Semi-Formal Sectors." International Journal of Management and Development Studies 14, no. 6 (2025): 29–38. https://doi.org/10.53983/ijmds.v14n6.004.

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In the evolving landscape of the global workforce, marked by digital disruption, automation, and rising attrition, upskilling and reskilling have become vital strategies for organizational sustainability and employee retention. This research paper examines the role of structured skill development initiatives in improving workforce retention, with a focused case study on the Pradhan Mantri Kaushal Vikas Yojana (PMKVY) India’s flagship skilling program. Drawing on theoretical foundations such as Human Capital Theory and the Psychological Contract, the paper explores global and Indian trends, ana
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Mansur, Baso Syafaruddin, and Yusuf. "The Relationship Between Principal Leadership and Work Motivation Teachers Based on Education and Da'wah." ETDC: Indonesian Journal of Research and Educational Review 3, no. 3 (2024): 211–19. https://doi.org/10.51574/ijrer.v3i3.2690.

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This study investigates the relationship between the principal's leadership and teacher motivation at public elementary school 1 Ranteanging. The research takes a qualitative approach, combining educational, psychological, and sociological aspects. Data were gathered through in-depth interviews, observations, and documentation and then analyzed using data reduction, presentation, and verification. The findings show that the principal uses successful leadership strategies, such as direct direction, motivation, and active participation in school activities. The principal is described as personab
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B, Sumyuktha, and Dr Vijayaraj K. "The Role of Employee Resilience in Driving Organizational‎Excellence: A PLS-SEM Approach." International Journal of Accounting and Economics Studies 12, no. 3 (2025): 231–39. https://doi.org/10.14419/y9mr4028.

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In an era marked by disruption, uncertainty, and rapid transformation, organizations can no longer rely solely on traditional strategies to ‎sustain performance. Instead, employee resilience—the capacity to adapt, recover, and thrive amid adversity—has emerged as a pivotal driver of organizational excellence. This study investigates how organizational support, transformational leadership, workplace culture, psycho-‎logical capital, and leadership development orientation shape employee resilience and, in turn, elevate organizational outcomes. Utilizing data ‎from 130 professionals and analyzed
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Pragati, Tiwari, and Melita Stephen Natal Ms. "The Role of AI in Talent Acquisition: A Study of Recruitment Processes in IT Companies." International Journal of Advance Research Publication and Reviews 6, no. 5 (2025): 2215–21. https://doi.org/10.5281/zenodo.15354624.

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In this fast-evolving landscape of IT industry, the demand for skilled professionals is higher than any time. IT companies are seeking innovative paths to attract, assess, and select the best talent to stay competitive in the global market. Traditional recruitment methods, which rely largely on resume screening, interviews, and decision-making, often prove to be time- consuming, resource-intensive, and prone to human bias. To address these challenges, organizations are largely turning to Artificial Intelligence (AI) to revolutionize their talent acquisition strategies. AI in recruitment is its
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Ramli, Norliza, and Hazliza Haron. "TRANSFORMING DIGITAL BUSINESS MODEL INNOVATION (DBMI) TO ENHANCE SME BUSINESS PERFORMANCE IN MALAYSIA: A CUSTOMER PERSPECTIVE." Advanced International Journal of Business, Entrepreneurship and SMEs 7, no. 24 (2025): 465–92. https://doi.org/10.35631/aijbes.724031.

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Amidst the contemporary digital scene, realizing Digital Business Model Innovation (DBMI) is an indispensable strategy for SMEs in Malaysia's F&B landscape to profoundly elevate their performance and ensure they remain competitive. This study delves into the pivotal impact of digital literacy, product innovation, service convenience, and digital interaction quality, with customer engagement serving as a crucial mediator. By analysing data from 300 SME customers through Multiple Regression Analysis, we uncover vital performance drivers, backed by Pearson Correlation and Factor Analyses to c
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Nosè, Michela, and Corrado Barbui. "Systematic review of clinical interventions for reducing treatment non-adherence in psychosis." Epidemiology and Psychiatric Sciences 12, no. 4 (2003): 272–86. http://dx.doi.org/10.1017/s1121189x00003080.

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SummaryAims - Studies investigating the efficacy of clinical interventions for reducing treatmeni non-adherence have generated contrasting findings, and treatment non-adherence remains very common in clinical practice. This systematic review was carried out to investigate the efficacy of clinical interventions that community psychiatric services can implement to reduce nonadherence in patients with psychosis. Method - Systematic review of randomised clinical trials, controlled clinical trials and observational studies assessing the efficacy of adherence enhancing interventions. Results - Forty
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Febrianti, Reni, Fajri Usman, and Sawirman Sawirman. "Directive Speech Acts Used by Teacher Via Zoom Cloud Meeting in English School Indonesia." Randwick International of Education and Linguistics Science Journal 3, no. 4 (2022): 675–78. http://dx.doi.org/10.47175/rielsj.v3i4.611.

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The purpose of this study is to categorize and describe the varieties, purposes, and tactics of teachers’ directive speech acts via zoom cloud meeting in English School Indonesia. This descriptive qualitative research used “teknik bebas libat cakap (SLBC)” technique or Uninvoled Conversation Observation Technique which is backed by the data collection techniques of keeping records and taking notes. This study makes use of Kreidler’s idea of directive speech act kinds (1998), Bach and Harnish’s (1979) theory of directive speech act functions and Yule’s (1990) theory of directive speech act stra
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Zvidzai, Mark, Fadzai M. Zengeya, Mhosisi Masocha, Amon Murwira, and Paradzayi Tagwireyi. "Projected Climate Scenarios Reveal an Expanding Suitable Habitat for the Critically Endangered African White‐Backed Vulture Gyps africanus." Integrative Conservation 3, no. 4 (2024): 398–409. https://doi.org/10.1002/inc3.81.

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ABSTRACTEstimating the potential distribution of climatically suitable habitats for different species is important for developing targeted and adaptable biodiversity conservation strategies. However, such crucial information remains limited for obligate scavengers such as the Critically Endangered (CE) African White‐backed Vulture (AWbVs) Gyps africanus. In this study, we applied two Species Distribution Modelling (SDM) algorithms, MaxEnt and BIOCLIM, within the Wallace interface to predict changes in the climatically suitable geographic ranges of the AWbVs under current, 2050, and 2070 climat
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Bhatta, Megh Vilas, and Suman Kharel. "Changing Pattern of Rural Life and Livelihood: An Ethnographic Investigation." Nepalese Journal of Development and Rural Studies 15 (December 3, 2018): 52–62. http://dx.doi.org/10.3126/njdrs.v15i0.31598.

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The changing livelihood is an unstoppable phenomenon of the contemporary world at the present era. In the due course of social development, changes have been noticed and the social transformation has become an inevitable process. In the study upon the Aarukharka village, various external interventions like modernity, urbanization and globalization have been found to be the causative factors of ongoing changes in the pattern of people’s life and livelihood strategies in the studied community. A qualitative approach backed up by the ethnographic method was applied while various tools and techniq
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Adhi Kesava Naidu Neelam, Aditya Vaddi, and Varshini Namburi. "Role of Computer-Aided Design and Development in Modern Pharmaceuticals." Journal of Pharma Insights and Research 2, no. 6 (2024): 001–7. https://doi.org/10.69613/qq36qs27.

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The integration of molecular biology and computational technologies has transformed modern drug discovery and development processes. Advanced computational methodologies, particularly artificial intelligence (AI) and machine learning (ML), have reshaped traditional drug development approaches through unprecedented access to ligand property data, target binding interactions, three-dimensional protein structures, and virtual libraries containing billions of drug-like molecules. AI and deep learning (DL) implementations have enhanced multiple stages of drug discovery, from target identification t
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Faiyetole, Ayodele Adekunle, and Francis Adeyinka Adesina. "Regional response to climate change and management: an analysis of Africa’s capacity." International Journal of Climate Change Strategies and Management 9, no. 6 (2017): 730–48. http://dx.doi.org/10.1108/ijccsm-02-2017-0033.

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Purpose The mainstream climate change community has primarily concerned itself with mitigation and adaptation strategies, both of which require monitoring and prediction. These four inter-connected response actions (mitigation, adaptation, monitoring and prediction) constitute the main strategies for managing climate change. This paper aims to weigh in on policies and societal coordination for effective management of the earth’s climate with respect to these four elements in Africa because of its socioeconomic peculiarities. Design/methodology/approach The Delphi experts’ method backed by ques
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Wang, Li, S. Sitharama Iyengar, Amith K. Belman, Paweł Śniatała, Vir V. Phoha, and Changsheng Wan. "Game Theory based Cyber-Insurance to Cover Potential Loss from Mobile Malware Exploitation." Digital Threats: Research and Practice 2, no. 2 (2021): 1–24. http://dx.doi.org/10.1145/3409959.

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Potential for huge loss from malicious exploitation of software calls for development of principles of cyber-insurance. Estimating what to insure and for how much and what might be the premiums poses challenges because of the uncertainties, such as the timings of emergence and lethality of malicious apps, human propensity to favor ease by giving more privilege to downloaded apps over inconvenience of delay or functionality, the chance of infection determined by the lifestyle of the mobile device user, and the monetary value of the compromise of software, and so on. We provide a theoretical fra
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Vidigal, Luís Pedro Vieira, Túlio Augusto Zucareli de Souza, Roberto Berlini Rodrigues da Costa, et al. "Biomethane as a Fuel for Energy Transition in South America: Review, Challenges, Opportunities, and Perspectives." Energies 18, no. 11 (2025): 2967. https://doi.org/10.3390/en18112967.

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This review examines the current status of biomethane development in South America through a comprehensive comparative analysis of national legislation, scientific literature, and institutional data across all South American countries. The methodology consisted of a systematic review of technical and regulatory documents to assess the status of biomethane production, commercialization, and utilization throughout the region. The findings indicate that biomethane remains largely underdeveloped in most South American countries, primarily due to fragmented data, inadequate infrastructure, and a la
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Lin, Xiaodan, Chen-Ying Lee, and Chiang Ku Fan. "Exploring the Impacts of Autonomous Vehicles on the Insurance Industry and Strategies for Adaptation." World Electric Vehicle Journal 16, no. 3 (2025): 119. https://doi.org/10.3390/wevj16030119.

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This study investigates the impacts of autonomous vehicles (AVs) on the insurance industry from the viewpoint of insurance companies, highlighting the necessity for adaptation due to technological advancements. The research is motivated by the gap in understanding between traditional insurers and automaker-backed insurance services regarding AV implications. The purpose is to identify potential impacts, evaluate the level of concern among diverse insurance companies, and examine their differing perspectives. The methodology includes a literature review, the Analytic Hierarchy Process (AHP), an
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