bluuebunny/crossref_metadata_2025 huggingface dataset:
Data-driven growth strategies with an effective business insights team: Steps to establish analytics-driven functions that enable smarter decision-making and stronger customer relationships
Authors: Taranekar Priyanka
Published: February 2025

In today's data-rich business environment, organizations and their Sales and Marketing department grapple with ever-increasing pressure to leverage analytics for strategic decision-making and sustainable growth. This paper explores the space of data and analytics and proposes the idea of establishing an effective Business Insights (BI) team that enables sales and marketing departments to move beyond standing up a traditional data and analytics function. Drawing from the transformation of a Business Insights team supporting six commercial sales areas in the U.S. based organization, the paper outlines seven critical steps: defining objectives aligned with business goals, developing comprehensive analytics frameworks, implementing advanced data tools, building skilled collaborative teams, fostering cross-functional engagement, establishing continuous monitoring mechanisms, and driving a culture of innovation. The paper provides actionable guidance for each step, emphasizing the importance of stakeholder alignment, advanced data visualization, and tailored reporting processes. Using an illustrative example of a USD 1 billion revenue organization, the paper demonstrates how implementing these strategies can generate significant value through improved sales growth, enhanced upsell opportunities, operational improvements, and reduced customer churn. The paper concludes that organizations that invest in standing up a Business Insights function are better positioned to navigate market complexity and maintain sustained competitive advantage in today's dynamic business landscape while fostering a culture of collaboration and continuous improvement.
The Use of Antifungals in the Pharmacotherapy of Onychomycoses and Associated Dermatomycoses
Authors: Malinovská Zuzana , Jendrálová Lívia , Čonková Eva , Váczi Peter , Čižmáriková Martina
Published: February 2025

Onychomycosis is a fungal disease of the toenails or fingernails with a typical clinical manifestation including change in the color and structure of the nail, subungual hyperkeratosis and onycholysis of the nail plate. Treatment of onychomycosis is very complicated and lengthy. Onychomycosis is closely related to dermatomycoses of the hands and feet. The aim of the work was to evaluate the possibilities and use of local and systemic antifungals in the treatment of onychomycoses and associated dermatomycoses. A group of 4004 prescription records issued to patients with onycho­mycosis and associated dermatomycoses over a 5-year period was used for the analysis. Local antifungals were used in therapy in 84.9% while systemic antifungals in 15.1%. Clotrimazole (28.22%), flutrimazole (21.28%), ciclopirox (19.28%), and amorolfine (16.06%) are the most commonly used local antifungals. For systemic therapy, terbinafine was mostly prescribed agent (10.89%) followed by itraconazole (4%) and fluconazole (0.25%). The most prescribed preparations for local therapy were nail polish containing ciclopirox (19.28%), nail polish containing amorolfine (14.91%), and dermal cream containing clotrimazole (14.61%). The treatment of onychomycosis and associated dermatomycoses with local antifungals prevails over the use of systemic antifungals.
Analisis penerapan PSAK 1 tentang penyajian laporan keuangan pada perusahaan konstruksi
Authors: Raditiningsih Sri , Harjuno Dharu , Vitarani Dina , Gusliana Mais Rimi
Published: February 2025

This study aims to evaluate the application of PSAK 1 at PT Adhi Karya (Persero) Tbk. The research focus includes analyzing the structure of financial statements and grouping important elements such as assets, liabilities, revenues, and expenses. This research uses a qualitative descriptive method with a content analysis approach to the company's annual report and financial statements. The results showed that the financial statements of PT Adhi Karya (Persero) Tbk have been prepared in accordance with PSAK 1, which includes transparency, relevance, and comparability of information. However, there are still challenges in managing high operating expenses, especially in short-term liabilities that require special attention to liquidity strategies. For further discussion, the research findings suggest that improving operational efficiency and optimizing management. Therefore, it is recommended that PT Adhi Karya improve disclosures related to operating expenses, liquidity strategies, and the impact of long-term financing in the notes to the financial statements to support better decision making by stakeholders.
 
Penelitian ini bertujuan untuk mengevaluasi penerapan PSAK 1 pada PT Adhi Karya (Persero) Tbk. Fokus penelitian mencakup analisis struktur laporan keuangan dan pengelompokan elemen penting seperti aset, liabilitas, pendapatan, dan beban. Penelitian ini menggunakan metode deskriptif kualitatif dengan pendekatan analisis isi terhadap laporan tahunan dan laporan keuangan perusahaan. Hasil penelitian menunjukkan bahwa laporan keuangan PT Adhi Karya (Persero) Tbk telah disusun sesuai dengan PSAK 1, yang mencakup transparansi, relevansi, dan keterbandingan informasi. Namun, masih terdapat tantangan dalam pengelolaan beban usaha yang tinggi, terutama pada liabilitas jangka pendek yang memerlukan perhatian khusus terhadap strategi likuiditas. Untuk pembahasan lebih lanjut, temuan penelitian menunjukkan bahwa peningkatan efisiensi operasional dan optimalisasi pengelolaan. Oleh karena itu, disarankan agar PT Adhi Karya meningkatkan pengungkapan terkait beban usaha, strategi likuiditas, dan dampak pembiayaan jangka panjang dalam catatan laporan keuangan guna mendukung pengambilan keputusan yang lebih baik oleh pemangku kepentingan.
Intrusion Detection System Using Hybrid Machine Learning
Authors: K S Mr.Keerthi , C N Ms.Nandini , Ganapati Moger Ms.Monisha , C G Ms.Janani , A Mr.Manuprasad
Published: February 2025

The project introduces a state-of-the-art
Intrusion Detection System (IDS) utilizing Hybrid Machine
Learning that addresses the limitations of traditional systems
by integrating anomaly and signature-based detection
models. The proposed solution integrates anomaly detection
and signature-based models for comprehensive detection of
known and unknown attacks. Advanced machine learning
algorithms ensure high accuracy while Explainable AI (XAI)
provides interpretability for detection decisions. Federated
learning is utilized to preserve data privacy. Designed for
real-time detection in IOT and cloud environments, the
system prioritizes scalability, accuracy, and interpretability,
making it highly adaptable to modern network security needs.
Smart Traffic Systems: A Comprehensive Overview
Authors: Reji Noyal , Jose Philips , V S Sanjayramprasad , Joseph Aju , Mathew Alpha
Published: February 2025

Abstract—Urban traffic congestion represents a
critical chal-lenge for modern cities, significantly
impacting mobility, envi-ronmental sustainability, and
quality of urban life. This com-prehensive survey
explores the transformative potential of ad-vanced
technologies—particularly deep reinforcement learning

(DRL), artificial intelligence (AI), and Vehicle-to-
Everything (V2X) communication—in revolutionizing

traffic management systems. We critically examine
emerging approaches that move beyond traditional
fixed-timing signals, highlighting innovative
methodologies including deep reinforcement models ,
computer vision techniques like YOLOv4, and
intelligent traffic coordina-tion strategies. The survey
synthesizes current research trends, evaluating

technological capabilities in real-time traffic opti-
mization, emergency vehicle prioritization, and

predictive traffic management. By analyzing both
technological achievements and existing limitations,
we provide a strategic roadmap for future research,
emphasizing the need for more adaptive, data-driven,
and intelligent urban traffic solutions that can
effectively address the complex dynamics of modern
transportation networks.
Index Terms—Smart Traffic Management, Deep
Reinforce-ment Learning, Artificial Intelligence,
Computer Vision, Vehicle-to-Everything
Communication, Urban Mobility, Intelligent
Transportation Systems
AI-Integrated Hospital Management System: Enhancing Efficiency and Addressing Data Consent Challenges
Authors: K S Ms. Surabhi , C Merson
Published: February 2025

Artificial Intelligence (AI) has revolutionized
Hospital Management System (HMS), enabling
greater administrative efficiency, optimizing
healthcare workflows, and enhancing patient
services. This study identifies the advance use of AI
in HMS such as process automation, optimization of
resources, and decision support for the medical
professional. But compliance with laws such as
HIPAA and GDPR will be critical, since AI-powered
systems work with vast quantities of sensitive patient
data. This study highlights the importance of having
a clear data consent framework in place that not only
protects patient privacy but also maximizes the
potential of AI in healthcare.
Enhancing Healthcare Practice: The Significance of Medical Humanities in Indian Medical Education and Practice
Authors: Khan Afrina Babu
Published: February 2025

This research paper explores the concept of medical humanities and its significance in enhancing the practice of
medicine through a holistic understanding of human experiences. Despite its proven benefits in fostering empathy,
communication, and critical thinking among healthcare professionals, the integration of medical humanities into
medical education and practice remains limited in India. The paper examines the current
state of medical humanities in Indian medical schools, identifies barriers to its implementation, and discusses potential
strategies for fostering an environment that values humanistic approaches in healthcare. By advocating for the
inclusion of medical humanities, this research aims to emphasize the importance of a more compassionate and
reflective practice in the Indian medical landscape.
KEYWORDS: Medical humanities, holistic care, human experience, healthcare
Formulation & Evaluation of Herbal Nutraceutical Tablet for the Prevention of Insomnia from Ashwagandha & Shilajit
Authors: Gupta Shashank , Maurya Sandeep Kumar
Published: February 2025

Herbal tablets are solid dosage forms of powdered herbs, herbal extracts or their ingredients prepared by
compression. They vary greatly in shape, size, and weight which depend on the amount of drug used and mode of
administration. Pharmaceutical oral solid dosage forms have been used extensively form long time, substantially
due to their ease of administration and suitability for systemic medicine delivery. Withania somnifera member of
Solanaceae family generally known as Ashwagandha, Indian Ginseng, or winter cherry has been used in Ayurveda,
Indian system of traditional medicine. Ashwagandha root is among the most well known herbal medicine used in
Ayurveda, a comprehensive system of medicine that originated in India. Ashwagandha is referred to as the "Prince
of Herbs" in Ayurveda because it has an impressively wide range of remedial effects. The treatment of numerous
terrible diseases in the modern day has benefited greatly from the traditional. Ashwagandha powder, an ayurvedic
medicament made from the herb withania somnifera is used to treat a variety of conditions including osteoarthritis,
type 2 diabetes, anxiety-related issues, and tumour mending capabilities. It’s an unique Indian herb, has significant
stress-relieving properties analogous to those of powerful medicines used to treat depression and anxiety.
In this research study, we had tried to formulate and evaluate the herbal sustained release tablet for the prevention
of insomnia from ashwagandha & shilajit and evaluated the granules properties such as bulk, tapped density, angle
of repose, etc.

Keyword - Withania somnifera, insomnia, Conventional treatments, Shilajit , Lavendula angustifolia,
Risk Analysis of the Cooking Oil Industry in the Maloy Batuta Trans Kalimantan Special Economic Zone
Authors: Ali Sampor , Hananto Djoko , Sudarman Daman
Published: February 2025

Management risk in cooking oil industry is important. This paper to analyze various risks faced by the palm oil-based cooking oil industry in the Maloy Batuta Trans Kalimantan Special Economic Zone (KEK MBTK), Kutai Timur, East Kalimantan, and to formulate mitigation strategies to support the sustainability of the area. The risks examined include fluctuations in Crude Palm Oil (CPO) prices, infrastructure limitations, environmental pressures, regulatory uncertainties, and social conflicts. The research employs a qualitative descriptive approach, collecting data through interviews, literature reviews, and document analysis. The findings indicate that infrastructure improvements, the adoption of environmentally friendly technologies, product diversification, and community involvement are key strategies for addressing these risks. The study concludes that an integrated risk management approach is crucial to enhancing the competitiveness of the cooking oil industry in KEK MBTK while fostering sustainable economic growth in Kutai Timur.
THE EFFECT OF PSAK 72 IMPLEMENTATION, COMPANY SIZE, AND ROA ON THE FIRM VALUE
Authors: Fatoni Muhammad , Fadjarenie Agustin
Published: February 2025

This study aims to analyze the effect of implementation of PSAK 72, company size, and return on assets (ROA) on the firm value. The sample of this research is companies indexed in LQ-45 during 2017-2020. There were 29 companies selected as samples using the purposive sampling technique. The data used is secondary data collected by documentation techniques. The data is analyzed using statistical analysis using the tools E-Views 10 Program. In analyzing the data, this study used panel data regression statistics with the selected model of the fixed effect model. The results of the hypothesis test show that the implementation of PSAK 72 and ROA have a positive effect on the firm value, while company size has a negative effect on the firm value. In conclusion, positive and significant effect of application of PSAK 72 implies that the particular companies tend to have high firm value. The positive and significant effect of ROA on firm value implies that the higher the ROA in a company, the higher the company’s reputation. Meanwhile, the negative and significant effect of company size indicates that small companies perform better compared to bigger companies.
BOOSTING PURCHASE INTENTIONS WITH EMOJIS
Authors: Aina Rizqi , Ariyanti Maya
Published: February 2025

Emojis have rapidly evolved with the advancement of online communication, becoming a staple in various marketing communications, including Firm-Generated Content (FGC). Despite their prevalence, research on the impact of emojis in FGC, particularly on purchase intentions, remains limited. This study aims to explore the influence of emoji usage in FGC on purchase intentions, focusing on the brand Somethinc in the beauty industry. The study targets followers of Somethinc's account on Platform X, investigating emojis as a dependent variable affecting purchase intentions as an independent variable, with positive affect as a mediator and product type as a moderator. This descriptive research employs a quantitative method using SEM-PLS to analyze data collected via purposive sampling in a one-shot cross-sectional manner. Findings reveal a positive and significant relationship between emojis and purchase intentions, mediated by positive affect. The product type, whether hedonic or utilitarian, moderates the positive affect induced by emojis in FGC. These results highlight the impact of emojis in enhancing positive affect and purchase intentions in FGC.
THE INFLUENCE OF CONSUMER ATTITUDES AND CONSUMER MOTIVATION ON PURCHASING DECISIONS THROUGH SHOPEE (Study on D-IV Marketing Management Students at State Polytechnic of Malang)
Authors: Anam Aisyahrani , Hadi Musthofa
Published: February 2025

In the current technological era, online shopping has become a dominant trend. With easy internet access and rapid technological advancements, society increasingly relies on e-commerce platforms like Shopee for their shopping needs. This study aims to analyze the influence of consumer attitudes and motivation on purchasing decisions on Shopee. This quantitative research involved distributing questionnaires to 77 D-IV Marketing Management students from the Business Administration Major for the 2023/2024 academic year who have made purchases on Shopee. Accidental sampling was used, and data were analyzed using multiple linear regression (Y = a + b1X1 + b2X2 + e) and hypothesis testing. The findings show that consumer attitude does not have a partial effect on purchase decisions, while consumer motivation does. Collectively, both variables significantly influence purchase decisions, contributing 85.7% to the purchase decision, with 14.3% influenced by other factors. The study concludes that only consumer motivation significantly impacts purchasing decisions. Shopee should more strictly filter sellers by verifying addresses, product types, and availability to avoid pre-orders. Additionally, Shopee can improve information quality on prices, availability, and product benefits, and enhance transaction security to improve user safety and application ratings, thereby building positive consumer perception.
PRUDENCE ACCOUNTING, LEVERAGE, AND FIRM VALUE: THE PERSPECTIVE SIGNALING THEORY
Authors: Isyauqina Rizka Novika , Fambudi Imam Nurcahyo
Published: February 2025

The firm has a long-term goal of optimizing the value because it is related to the share price so as to maximize the prosperity of shareholders. This study aims to determine and analyze the effect of prudence and leverage on firm value (Empirical Study of Public Companies in Indonesia). This study has a novelty in the measurement of prudence developed by Fambudi et al using the Heckit Model. The population of this study were all public companies in Indonesia during 2017-2021. A total of 332 companies were selected as samples using a purposive sampling technique, with secondary data utilized for the analysis. The results of this study indicate that prudence has a significant positive effect on firm value. Companies that apply prudence are often seen as careful and responsible entities. This good reputation builds investor and creditor confidence. Meanwhile, leverage has a significant negative effect on firm value. A high leverage ratio indicates that the company has a large debt and tends to be riskier. This study includes two control variables: firm size and growth opportunities. Firm size, as a control variable, has a negative effect on firm value, while company growth has a significant positive effect on firm value.
TAX LEARNING IN THE DIGITAL ERA: EFFECTIVENESS AND CHALLENGES AT MERCU BUANA UNIVERSITY
Authors: Dewi Anisa Millenia , Kwarto Febrian
Published: February 2025

Fast digitalized learning has resulted in greater embrace of online learning in higher education systems, even on complex topics like taxation. This change implies the need for the assessment of the impact and hurdles facing internet based tax education. This study aims to evaluate the effectiveness of online tax learning in the context of higher education. The research method used is quasi-qualitative, involving participants enrolled in an online tax course. The analysis technique employed is Creswell's spiral analysis. The findings indicate that online tax learning offers students flexibility in access and scheduling, enhances engagement, and provides advantages in the application of technology. However, challenges such as difficulties in accessing technology and a lack of direct interaction may impact the effectiveness of learning. The implications of this study provide insights for the development of further learning strategies and curriculum updates that support the effectiveness of online tax education in higher education institutions.
Analysis of the Impact of Work Motivation and Employee Commitment on Employee Performance at the Staffing Agency and Human Resource Development of the City of Solok
Authors: Nurhayati Nurhayati , Sriyanti Esi , Putri Sarah Maidola
Published: February 2025

The objective of this study is to examine how work motivation and employee dedication impact the work output of employees at the Personnel and Human Resource Development Agency in Solok City. A quantitative approach was used to survey 54 participants. The statistical analysis revealed that work motivation has a partial but significant influence on work performance. This is supported by the t test results, where the value of tvalue 2.740 exceeds the critical ttable value of 2.008 at a significance level of 0.008, which is less than 0.05. It could be inferred that motivation at work plays a significant role in influencing job performance. After conducting statistical analysis, it can be deduced that the level of commitment among employees has a partial but meaningful impact on job performance within the Solok City Personnel and Human Resource Development Agency. This assertion is supported by the T test, where the t value of 4.526 surpasses the critical t value of 2.008, with a significance level of 0.000 which is lower than 0.05. Hence, it can be concluded that the commitment of employees has a significant influence on job performance. Both work motivation and employee commitment positively impact job performance at the Solok City Personnel and Human Resource Development Agency, as supported by the F test (F = 57.459, p < 0.05). The R Square value is 0.693, indicating that 69.3% of the variance in job performance is explained by these factors, with the remaining 30.7% influenced by other variables.
The Effect of Workload, Distributive Injustice and Job Burnout on Employee Performance with Quiet Quitting as an Intervening Variable in Employees at Public Works and Highways Department of East Java Province
Authors: Nugroho Ario Bagus , Mujanah Siti , Ardiana I Dewa Ketut Raka
Published: February 2025

Human Resource Management has many functions like organizing on how to determine the workload of every employee, controlling their employee’s workload, providing fair and appropriate compensation also integrating the employee’s needs and the organization’s expectation of them. Every workplace which has employees detached, losing motivation and initiative while working because of the workload, tiredness or the feeling of injustice, would most likely disturb their employee performance. This study aimed to test and analyze the effect of workload, distributive injustice and job burnout also analyzed and test the role of quiet quitting on every path of the relationship between these variables on employee performance. This Study used quantitative approach, and questionnaire was distributed via online form to 100 employees of Public Works and Highways Department of East Java Province. Hypothesis testing was carried out by using SEM-PLS algorithm through the Smart-PLS 4 Application. The results of this study indicate that workload, job burnout, and quiet quitting significantly affect employee performance, while distributive injustice does not. Additionally, job burnout significantly influences quiet quitting, whereas workload and distributive injustice do not. As an intervening variable, quiet quitting mediates the relationship between distributive injustice and employee performance, as well as job burnout and employee performance, but not workload and employee performance.
The Effect of ESG Performance on Firm Value with Financial Performance as Mediation in Companies Listed on IDX ESG Leaders in 2020-2023
Authors: Rusmana Rizal Adriansyah Rusmana , Sembiring Ferikawita Magdalena
Published: February 2025

The Indonesia Stock Exchange launched the ESG Leaders stock index on December 23, 2020, which contains 30 stocks that have the best ESG assessment and are not involved in controversy. Nevertheless, there has been a decline in the valuation of companies within the index as indicated by a drop in stock prices and Tobin's Q ratios. The primary aim of this study is to investigate the process of how the performance metrics related to environment, social responsibility, and corporate governance impact the value and financial performance of companies through mediation analysis. The study utilized quantitative approaches to analyze a group of businesses listed in the IDX ESG Leaders from 2020 to 2023. The sample selection involved deliberately selecting 25 companies for analysis. The researcher plans to study financial and corporate sustainability reports through panel data regression to analyze secondary data. The results indicate that ESG Performance may not directly influence the value of a company, but it could have a distinct effect on its financial performance. The impact of environmental performance on financial performance is beneficial and significant, whereas social and governance performance has a notably detrimental effect on financial performance. Moreover, a firm's value is positively influenced by financial performance, which can also act as a mediator for the impact of social and governance performance on firm value.
POLITICAL AND LEGAL DEVELOPMENT OF SUSTAINABLE TOURISM VILLAGES
Authors: Soraya Joice , Refangga Galih Setya
Published: February 2025

This study examines the legal politics and initiatives aimed at establishing sustainable tourism villages in Kampung Kembang, Tawangrejeni Tourism Village, Turen District, and Malang Regency. The legal politics focus on developing legislation that promotes sustainable tourism, fosters sustainable management, and ensures social, economic, cultural, and environmental sustainability. The development strategies include improving attractions, accessibility, amenities, community empowerment and entrepreneurship, human resource capacity, stakeholder collaboration, digital technologies, waste management, and financial resources. The establishment of sustainable tourism villages is intended to help achieve the Sustainable Development Goals (SDGs) in economic, ecological, social, and cultural areas. Development activities must be holistic and integrated, engaging multiple sectors. With the appropriate legal politics and comprehensive development initiatives, Kampung Kembang is intended to become a model for a sustainable tourism village that benefits the community while protecting nature and culture.
THE ANALYSIS OF EFFECTIVENESS OF USING DRONE EMPRIT AS A CYBER PATROL ASSISTANCE TOOL: LAMPUNG AND NORTH SUMATRA REGIONAL ELECTION STUDY CASE
Authors: Haloho Pebriandi , Nita Surya , Aminanto Muhammad Erza
Published: February 2025

This study evaluates the effectiveness of Drone Emprit as a cyber patrol tool during the 2024 regional elections (Pilkada) in Lampung and North Sumatra. By leveraging big data analytics and natural language processing, Drone Emprit monitors public sentiment and key issues on social media, such as neutrality of civil servants (ASN), misinformation, and potential conflicts. Using a mixed-method approach, data were collected from Twitter over four observation periods. The findings show significant changes in public sentiment, with positivity dominating early periods and negativity increasing in later periods due to controversies. The analysis highlights Drone Emprit real-time capabilities in detecting public sentiment, identifying key issues, and supporting strategic decision-making. This study underscores the potential of big data tools to enhance cyber patrols and maintain social stability during politically sensitive periods.
SOCIAL MEDIA ANALYSIS OF THE PUBLIC RELATIONS DIVISION OF THE INDONESIAN NATIONAL POLICE IN THE KETUPAT OPERATION 2024 USING INTELLIGENCE SOCIO ANALYTIC (ISA)
Authors: Sidabutar Wobsi Prawira , Nita Surya , Yopik Gani
Published: February 2025

The rapid development of information and communication technology in the digital era has significantly impacted public communication, especially through the use of social media by the Public Relations Division of the Indonesian National Police (Divhumas Polri). This study aims to analyze the effectiveness of the Intelligence Socio Analytic (ISA) used by Divhumas Polri during the 2024 Ketupat Operation in monitoring and understanding public sentiment across various social media platforms. The methodology employed is qualitative descriptive, using secondary data analysis from daily ISA reports. The findings indicate that Polri's communication strategy through social media effectively increased public positive sentiment, although challenges such as misinformation and traffic congestion still influenced some negative public perceptions. In conclusion, ISA's application by Divhumas Polri proved effective in managing public communication and maintaining societal opinion stability during the Ketupat Operation period.
Analyzing Pakistan's Fragile Political, Social, and Economic Landscape: Challenges, Transitions, and Structured Solutions Needed
Authors: Khpalwak Zazai Abuzar , Rahmani Najeebrahman , Zirak Assadullah
Published: February 2025

Due to the increasing political, security, social, and economic challenges in Pakistan, it is necessary for everyone to have a better and more accurate understanding of it to have a clear picture of the current situation in Pakistan. The aim of highlighting the above-mentioned topics is to provide a comprehensive roadmap for identifying, analyzing, and solving issues and problems that have hindered the development and progress of the country, especially when officials are not saying much about it. This research utilizes both quantitative and qualitative methods to extract findings. Materials for the article have been gathered from electronic media, printed materials, reputable reports (UN, UNDP), etc. Based on the analysis and evaluation of the political, security, social, and economic situation of Pakistan, it can be said that country is in a precarious situation and its management is beyond the capacity of its rulers and politicians. If this situation continues, it is possible that the country's situation will become more volatile in the near future, and in that case, the possibility of Pakistan's disintegration in the coming years is conceivable.
The Impact of Artificial Intelligence (AI) on Human Resources: A Case Study of the Indonesian Police Institution
Authors: Septiyandini Widya , Muriman Chairul , Mayastinasari Vita
Published: February 2025

Artificial Intelligence in the digital era has brought significant changes in the way companies manage and utilise human resources. Artificial Intelligence is expected to assist in various aspects of human resource management, particularly in military or state security sectors. This study focuses on the impact of AI on human resources within the Indonesian police force. The use of AI tools in managing the large amount of employee data in the police force is seen as beneficial. Matching the right person with the right job is a key challenge for human resource professionals, which AI and automation technology can help with. AI aids in forecasting future employee needs and making effective recruitment choices. Performance management tools driven by AI offer opportunities for both employees and organisations in police forces. AI can also help in evaluating employees fairly through multi-attribute decision-making processes. Additionally, AI systems can assist managers in determining appropriate compensation and benefits for police personnel.
Possibility of Implementing Digitization of Notarial Authentic Deeds as Electronic Evidence
Authors: Alyandi Putu Sinthya , Purwanto Wayan Novy
Published: February 2025

The aim of this article is to examine the usage of cyber notary, which has not been effective because of the vague standards surrounding the concept of cyber notary, including its definition and rules. Additionally, the article aims to assess the feasibility of incorporating cyber notary into traditional notary practices. The method used in this research is normative legal research. The results of this article are: First, there is a need for legal harmonization or re-actualization of rules between UUJN/UUJN-P and the ITE Law so that they can serve as a legal framework regulating the digitalization of authentic deeds, and notarial deeds can be categorized as valid electronic documents under the ITE Law. Second, the implementation of digitizing authentic notarial deeds is based on fulfilling legal needs in the notary sector, which extends beyond the formulation of rules regarding cyber notary to include the digitization of authentic deeds and notaries' obligations in executing cyber notary duties.
Study of Hardware Acceleration of Graph Neural Networks
Authors: Rayarao Surya Rao
Published: February 2025

The size and complexity of graphs increase, the computational demands of GNNs become a major bottleneck. To address this challenge, researchers have explored hardware acceleration techniques to speed up GNN computations. This paper presents an overview- of existing hardware acceleration methods for GNNs, including specialized hardware designs and optimizations. We discuss the advantages and limitations of these approaches and highlight the key factors to consider when designing hardware accelerators for GNNs. Furthermore, we present potential directions for future research in this domain, aiming to unlock the full potential of GNNs through efficient hardware acceleration.

Researchers are exploring various approaches for hardware acceleration of GNNs, including custom-designed hardware, accelerators like GPUs and TPUs, and software optimizations for existing hardware. As this research area progresses, it has the potential to revolutionize how graph-based data is processed, enabling more advanced and efficient solutions across a wide range of industries and domains.

The COPRAS method requires identifying selection criteria, evaluating information related to these criteria, and developing methods to evaluate Meeting the participant's needs Criteria for doing in order to assess the overall performance of the surrogate. Decision analysis involves a Decision Maker (DM) Situation to do consider a particular set of alternatives and select one among several alternatives, usually with conflicting criteria. For this reason, the developed complexity proportionality assessment (COPRAS) method can be used.

Hardware acceleration of GNNS. QM is got the first rank whereas the live journal is having the Lowest rank.
Enhancing Named Entity Recognition in Low-Resource Dravidian Languages A Comparative Analysis of Multilingual Learning and Transfer Learning Techniques
Authors: Panchadara Kiranmaye
Published: February 2025

Named Entity Recognition (NER) is a crucial task in Natural Language Processing (NLP), yet its performance in low-resource languages, such as Kannada, Malayalam, Tamil, and Telugu of the Dravidian language family, remains challenging due to limited linguistic resources. Originating from India, these languages represent a rich linguistic diversity, but they often lack adequate resources for technological advancements. In this study, we explore methods to enhance NER performance in these low-resource Indian languages using multilingual learning and transfer learning techniques. Leveraging mBERT, RoBERTa, and XLM-RoBERTa algorithms, we conduct a comprehensive analysis. Initially, we evaluate each algorithm's performance on individual languages, obtaining accuracy scores. Subsequently, we merged datasets from pairs of languages to investigate cross-lingual transfer learning. For instance, combining Kannada and Tamil datasets yields a better accuracy, surpassing Kannada's standalone accuracy. We repeat this process for Tamil, Malayalam, and Telugu subsequently, assessing both individual and multilingual accuracies. Our experiments provide insights into the efficacy of multilingual learning and transfer learning across diverse Dravidian languages, contributing to bridging the technological gap between urban and rural communities in India. By analyzing the impact of algorithm choice and cross-lingual transfer, we uncover valuable findings to advance NER performance in underrepresented languages. This study demonstrates the potential of technological advancements to empower diverse linguistic communities and foster inclusivity in NLP research and applications.
Understanding its Big Data Analytics Potential Benefits for Healthcare Organizations
Authors: Gorre Tejasvi
Published: February 2025

Big data analytics involves the examination and analysis of extensive and intricate datasets to discover shape business strategies, or deepen understanding of a specific phenomenon. It encompasses the use of advanced analytic techniques like data mining, machine learning, and statistical analysis to extract valuable information from vast quantities of data. datasets characterized by their size, speed, and diversity. It involves rephrasing or restating the information in a different way, using different words and sentence structures. Paraphrasing helps to avoid plagiarism and can be used to clarify complex concepts or make information more accessible to a specific audience. It is important to accurately represent the original source while incorporating your own writing style. Storing the processed data in appropriate storage systems, such as data lakes or distributed file systems, Data analysis: Applying various analytic techniques to extract insights and discover patterns, correlations, and trends within, predictive analytics. Researchers can Through the utilization of advanced analytical techniques like unveil concealed patterns, correlations, and trends that might not be evident through conventional analysis approaches. This allows researchers decision-making processes. These insights can lead to new discoveries, novel findings, and a deeper understanding of complex phenomena. Nonmetal mineral product industry, General equipment manufacturing, Mining and washing of coal, Textile industry, Food manufacturing industry. e-Readiness, Technology, Environment, Organization, People. e-Readiness is got the first rank whereas is the Organization is having the Lowest rank. Rank using the DEMATEL for e-Readiness is got the first rank whereas is the Organization is having the Lowest rank.
CURRENT TRENDS AND APPROACHES OF ENTERPRISES TO INVESTING IN MARKETING
Authors: Teslenko Denis , Liulin Pavel
Published: February 2025

The article examines modern trends and approaches of enterprises to investing in marketing within a dynamically changing market environment. Key factors influencing marketing investment decisions are analyzed, alongside the impact of digital technologies, data, and analytics on marketing cost-effectiveness. Special attention is given to the integration of artificial intelligence, marketing process automation, and the development of omnichannel strategies as tools for optimizing expenditures.
The study reviews modern marketing tools such as Big Data, CRM systems, chatbots, personalized advertising campaigns, and programmatic advertising models. The influence of globalization and digitalization on corporate marketing investment strategies is discussed, as well as methods for assessing their efficiency using key metrics, including ROI, CAC, CLV, ROMI, and marginal revenue from advertising activities.
Based on the conducted analysis, practical recommendations are provided to enhance the return on marketing investments, adapt strategies to changing market conditions, and improve economic efficiency under uncertainty.
ROLE AND ECOLOGICAL FEATURES LANDSCAPES IN BIOSPHERE
Authors: Ibragimov Tahir
Published: February 2025

The article discusses the following topics: landscapes and their features; role of landscapes in the biosphere; environmental results of the dynamics of the landscape; geochemistry-chemical properties, peculiarities of landscape ecology; environmental significance of geochemistry and economic landscape classification.
Professional development model for language teachers in junior high schools in Anhui province, China
Authors: Ding Jie , Boonphadung Suttipong
Published: February 2025

Junior high school language education is undergoing a reform that prioritizes the development of students’ language literacy, extending traditional language and literature instruction. Teacher professional development (PD) is crucial for ensuring the effective implementation of this approach. However, in the context of junior high school language education reform, studies regarding how language instruction promotes students' moral development, addresses the unequal distribution of educational resources between urban and rural areas, and enhances teacher quality are limited. Against this backdrop, the purpose of the present study is to investigate the administrative context, PD level, and influencing factors of PD among junior high school language teachers in Anhui Province, and propose a PD model for language teachers. Based on data from 598 respondents, this study employs a mixed-methods approach, integrating qualitative interviews, quantitative surveys analyzed with AMOS, and focus group discussions. The findings indicate that individual teacher factors (ITF) and educational authority factors (EAF) have significant positive direct effects on teacher’s PD guide (TPGD). Furthermore, school management factors (SMF) also have a significant positive direct effect on TPGD. Additionally, SMF was found to mediate the relationships between ITF and TPGD, as well as between EAF and TPGD, indicating significant indirect effects of ITF and EAF on TPGD through SMF. This study highlights the need for greater support and opportunities to address challenges such as limited professional pursuit, ensuring quality language education. The proposed PD model offers valuable insights into effectively supporting language teachers' PD, with implications for policy and practice.
Factors influencing purchase decisions on social media platforms: The role of explainable artificial intelligence
Authors: Dat Nguyen Van , Dang Pho Hai , Thich Nguyen Van
Published: February 2025

This study aims to measure the impact of privacy concerns and perceptions of personalization on purchase decisions on social media platforms. It focuses on the mediating role of attitudes toward advertising and the moderating role of Explainable Artificial Intelligence (XAI). The study investigates consumers who frequently shop on social media. The research model was implemented using an online questionnaire and direct interviews, yielding 515 valid responses. To assess the reliability of the measurement scales, SPSS 26 software was employed. The research hypotheses were tested, and the measurement and structural models were evaluated using AMOS 28. The proposed model is grounded in the Elaboration Likelihood Model (ELM), causal models, interpretability in human-AI interaction, computational privacy theory, and the Theory of Reasoned Action (TRA). The findings indicate that consumers' perceptions of personalized advertising content positively influence their attitudes toward advertisements. Privacy concerns negatively affect users' attitudes toward advertisements. Positive attitudes toward advertising, in turn, influence purchase decisions on social media. This study enriches the theoretical understanding of consumer behavior toward AI-enabled technological products and offers managerial implications for producers to enhance advertising quality and meet consumer demands in the context of social media shopping.
The Mental Image of a Product and its Influence on Purchase and Repeat Purchase Decisions by Saudi Consumers
Authors: Fait Adil Mohamed Ahmed
Published: February 2025

This study examines how product aesthetics, self-image congruence, perceived quality, and exposure to advertising collectively contribute to consumer perception and drive purchasing behavior among Saudi consumers. Grounded in Consumer Perception Theory (CPT) and Self-Congruity Theory (SCT), the study employs quantitative research on data collected from 871 respondents. The findings indicate that product aesthetics and perceived quality strongly influence purchasing decisions, while self-image congruence and exposure to advertising play significant but secondary roles. Furthermore, purchasing decisions mediate the relationship between these independent variables and repeat purchase behavior, reinforcing the importance of a product’s mental image in fostering long-term consumer loyalty. The study offers practical insights for marketers, emphasizing the need for brands to align their design, quality, and promotional efforts with consumer expectations and cultural values in the Saudi market. Future research should explore longitudinal impacts and the impact of external factors, such as technological advancements and market competition, on product perception and consumer loyalty.
Adapting to change: Lived experiences of nursing students in rebuilding clinical confidence with limited face-to-face exposure
Authors: Abalona Maricel D. , Ajera Sheilla M. Tr , Ching Gregory S.
Published: February 2025

The COVID-19 pandemic significantly reshaped nursing education, with the transition to remote learning impacting clinical confidence and competency development among student nurses. As nursing programs shift back to in-person learning, students face challenges in adapting to limited face-to-face clinical exposure, which serves as a critical bridge between theoretical knowledge and hands-on practice. This qualitative study employs descriptive phenomenology to explore the lived experiences of six nursing students—three third-level and three fourth-level—selected based on specific inclusion criteria. Data were gathered through one-on-one semi-structured Zoom interviews, and thematic analysis identified four key themes: (1) ineffective practical learning through virtual platforms, (2) limited face-to-face clinical exposure as a foundation for skill recovery, (3) challenges in transitioning from virtual to actual related learning experiences, and (4) fostering clinical confidence through personal preparation and adaptation. The findings highlight the difficulties students face in regaining hands-on competencies, adjusting to new learning modalities, and managing self-directed learning strategies to compensate for lost clinical immersion. Despite these challenges, limited face-to-face exposure was perceived as a step toward rebuilding clinical confidence, emphasizing the need for adaptable nursing curricula, enhanced simulation strategies, and structured transition programs. The study provides insights for educators, administrators, and policymakers in optimizing clinical education, ensuring students are adequately prepared for the evolving demands of professional nursing practice.
Spectroscopic investigation of thermo and kinetic properties for lithium-sulfur electrolytes
Authors: Abd Suha Sahab
Published: February 2025

The development of advanced lithium-sulfur (Li-S) batteries has gathered noteworthy attention due to their high theoretical energy density and potential for use in next-generation energy storage systems. This study focuses on the thermodynamic and dynamic analysis of advanced Li-S battery electrolytes using spectroscopic methods. By employing techniques such as nuclear magnetic resonance (NMR), Raman spectroscopy, and infrared (IR) spectroscopy, the research explores the interaction mechanisms between lithium ions and sulfur compounds within various electrolyte formulations. The results provide insights into the solvation structures, ion transport properties, and the stability of intermediates, which are significant for improving the performance and lifespan of Li-S batteries, clearing the way for the development of more efficient and durable Li-S battery systems.