bluuebunny/crossref_metadata_2025 huggingface dataset:
Multiple Feature-Based Recurrent Neural Network for Highly Accurate Ransomware Detection in Android Devices
Authors:   PhD Scholar, Computer Science  Engineering, Amity University Madhya PradeshnGwalior, India, Vyom Vyom ,   Computer Science Engineering, Amity University Madhya Pradesh, Gwalior, India,   Computer Science Engineering, Eshan College of Engineering, Mathura, India, Motwani Deepak , Sharma Pankaj
Published: February 2025

Ransomware or crypto-ransomware is a big headache to digital media and transactions nowadays. Generally, Ransomware affects the operating system and transfers the valuable information and data stored in the system. Some ransomware attacks the system and corrupts the system file, making it useless to the user. Data encryption with a private key is also one of the attaching fashions of some types of ransomwares. Most ransomware attacks are reported in android operating system-based devices. The solution to ransomware is only the earlier identification of an attacked pattern in the operating system and removal of it. Artificial Intelligence (AI) plays a major role in various kinds of attack detection and classification processes. Machine learning (ML) technique can be used to train and classify the presence of ransomware in android-based devices. Various parameters, such as the characteristics of applications' permission access to various inputs of the devices. The data can be used to train the Recurrent Neural Network (RNN), the most popular and highly accurate ML module that performs a highly accurate classification process. The performance can be evaluated using various sensitivity evaluation metrics such as accuracy, sensitivity, specificity, and precision.
Pengaruh Promosi, Harga dan Kualitas Pelayanan Terhadap Keputusan Pembelian di Warung Pondok Bawang Serangan Denpasar
Authors: Arniti Ni Ketut , Purwaningsih Ni Kadek Asyang , Lasmi Ni Wayan , Prawitasari Putu Putri , Maheswari Anak Agung Istri Agung
Published: February 2025

Penelitian ini bertujuan untuk mengetahui pengaruh promosi, harga dan kualitas pelayanan terhadap keputusan pembelian pada Warung Pondok Bawang Attack. Teknik pengambilan sampel menggunakan teknik non-probability sampling dengan jumlah sampel yang ditentukan sebanyak 100 responden. Teknik analisis data adalah pendekatan analisis deskriptif kuantitatif dan analisis partial least squares structural equality modeling (PLS-SEM). PLS-SEM merupakan model persamaan struktural untuk mengembangkan atau memprediksi suatu teori yang sudah ada. Model persamaan yang dianalisis adalah outer model, inner model dan pengujian hipotesis. Berdasarkan hasil perhitungan dengan menggunakan software PLS-SEM versi 3.0 diperoleh hasil bahwa promosi, harga dan kualitas pelayanan memiliki pengaruh positif dan signifikan terhadap keputusan pembelian pada Warung Pondok Bawang Attack. Implikasi dari hasil penelitian ini menunjukkan bahwa semakin tinggi dan baik penerapan strategi pemasaran berupa promosi dan pemberian harga produk yang kompetitif maka hal tersebut dapat meningkatkan keputusan pembelian. dan semakin baik kualitas pelayanan yang diberikan maka akan dapat meningkatkan keputusan pembelian konsumen.
Determinants of Foreign Direct Investment in ASEAN: The Role of Gross Domestic Product, Interest Rate, Inflation and Trade Openness
Authors: Panca Wijaya  , Eogenie Lakilaki  , Anisha  , Jessicaa Amanda  , Tri Wahyuni
Published: February 2025

Pembangunan ekonomi merupakan salah satu elemen utama dalam meningkatkan pendapatan negara, dengan investasi asing langsung (FDI) sebagai salah satu contohnya. Penelitian ini bertujuan untuk menganalisis pengaruh variabel Gross Domestic Product (GDP), suku bunga riil, inflasi, dan keterbukaan perdagangan (Trade Openness/TO) terhadap Foreign Direct Investment (FDI). Dengan metode kuantitatif melalui regresi data panel digunakan sebagai metode penelitian pada rentang periode 2019-2023 di beberapa negara, yaitu Indonesia, Malaysia, Thailand, Vietnam, dan Filipina. Hasil penelitian menunjukkan bahwa variabel GDP, inflasi, dan keterbukaan perdagangan memiliki pengaruh positif dan signifikan terhadap FDI, sedangkan suku bunga riil tidak memiliki pengaruh yang signifikan terhadap FDI.
paymen system Pengaruh Mobile Payment Terhadap Efisiensi Transaksi Keuangan Di Sektor Retail
Authors: Erpenus Marna , Veri Jhon
Published: February 2025

Penelitian ini mengeksplorasi pengaruh mobile payment terhadap efisiensi  transaksi  keuangan  di  sektor  retail.  Dengan meningkatnya adopsi teknologi digital, mobile payment telah menjadi  metode  pembayaran yang populer, menawarkan kemudahan dan kecepatan dalam bertransaksi. Menggunakan metode Systematic Literature Review (SLR), penelitian ini menganalisis literatur relevan dari tahun 2020 hingga 2024. Hasil menunjukkan bahwa penggunaan mobile payment dapat mengurangi waktu transaksi dan antrian di kasir, meningkatkan kepuasan pelanggan, serta memberikan keuntungan operasional bagi pelaku usaha. Fitur keamanan seperti enkripsi dan otentikasi biometrik juga memberikan rasa aman bagi pengguna. Penelitian ini merekomendasikan pengembangan lebih lanjut dalam penggunaan teknologi pembayaran digital di sektor retail dan mengidentifikasi tantangan yang dihadapi dalam implementasinya.
Efek Tata Kelola Perusahaan, Rapat Tata Kelola Perusahaan Dan Remunerasi Tata Kelola Perusahaan Pada Pengungkapan Csr
Authors: Samboro Wisnu , Hidayat Fikri , Wibowo Yushaywa Prasjulia , Athaillah Talitha Nabilah , Nurhidayat Tofik
Published: February 2025

Riset ini dilakukan guna menelusuri apakah anggota tata kelola perusahaan, frekuensi rapat tata kelola perusahaan, dan remunerasi berdampak pada nilai sosial perbankan syariah. Riset ini menggunakan metode penelitian kauntitatif. Selain itu peneliti memakai teknik penelitian eksplanatori, yang mencoba menjelaskan posisi variabel-variabel yang diteliti dan hubungan di antara variabel-variabel tersebut, merupakan pendekatan yang digunakan. Informasi yang dikumpulkan dari Laporan Bank Indonesia dan Otoritas Jasa Keuangan. Penelitian ini menggunakan variabel corporate governance yang diproksikan dengan Frekuensi Rapat (Dewan Direksi, Dewan Komisaris, Dewan Pengawas Syariah), anggota corporate governance (Dewan Direksi, Dewan Komisaris, Dewan Pengawas Syariah), dan remunerasi corporate governance (Dewan Direksi, Dewan Komisaris, Dewan Pengawas Syariah) sebagai variabel independen dan kinerja nilai sosial yang diproksikan dengan (CSR). Secara simultan variabel tata kelola perusahaan berpengaruh signifikan terhadap kinerja CSR. Penelitian ini berimplikasi pada penambahan literatur dan rekomendasi bagi bank syariah terkait tata kelola perusahaan dan CSR.
Pengaruh Audit Tenure KAP, Reputation KAP, Audit Fee, Auditor Switching dan Firm Size Terhadap Audit Quality dengan Audit Committee Sebagai Variabel Moderasi pada Indeks Kompas100 Bursa Efek Indonesia (BEI)
Authors: Napiajo Napiajo , Hamzani Umiaty , Ikhsan Syarbini
Published: February 2025

Penelitian ini bertujuan untuk menguji dan menganalisis pengaruh Audit Tenure KAP, Reputation KAP, Audit Fee, Auditor Switching dan Firm Size terhadap Audit Quality dengan dimoderasi Audit Committee. Jenis penelitian ini merupakan penelitian kuantitatif, dengan menggunakan data sekunder berupa data dari laporan tahunan dan laporan keuangan (annual report) perusahaan yang terdaftar di Bursa Efek Indonesia (BEI). Populasi dalam penelitian ini yang dipilih sebagai objek penelitian adalah perusahaan-perusahaan yang terdaftar di indeks Kompas100 di Bursa Efek Indonesia (BEI) selama rentang tahun tahun 2021-2023 yaitu berjumlah 140 Perusahaan. Metode analisis dalam penelitian ini menggunakan Moderated Regression Analysis (MRA) dan analisis regresi linear berganda (Multiple Linear Regression) dan alat analisis statistik SPSS versi 26. Hasil penelitian menunjukkan bahwa Audit Tenure KAP, Reputation KAP, Audit Fee berpengaruh negatif terhadap Audit Quality, sedangkan Auditor Switching dan Firm Size berpengaruh positif terhadap Audit Quality. Audit Committee mampu memoderasi hubungan antara Audit Tenure KAP, Reputation KAP terhadap Audit Quality, untuk variabel sisanya yaitu Audit Fee, Auditor Switching dan Firm Size,  Audit Committee tidak mampu memoderasi hubungannya dengan Audit Quality.
Tantangan Kinerja Keberlanjutan pada Tepi Coffee
Authors: Fauziyah Alifah Hafidz , Azahra Athiyyah Raras , Hidayat Meyva Ashilah , Rossa Vidya Dharma , Nugroho Dwiyanjana Santyo
Published: February 2025

Penelitian ini membahas tantangan keberlanjutan yang dihadapi Tepi Coffee, sebuah usaha mikro kecil menengah (UMKM) di sektor coffee shop. Penelitian ini menggunakan metode kualitatif.  Fokus utama penelitian adalah analisis tantangan pada aspek ekonomi, sosial, dan lingkungan, serta strategi keberlanjutan yang diterapkan oleh Tepi Coffee. Hasil penelitian menunjukkan bahwa biaya tambahan untuk praktik keberlanjutan menjadi hambatan utama, terutama karena jumlah pelanggan yang masih terbatas. Selain itu, tantangan dalam rantai pasok menambah kompleksitas implementasi keberlanjutan. Strategi keberlanjutan Tepi Coffee saat ini berfokus pada stabilitas ekonomi jangka pendek melalui peningkatan penjualan dan profitabilitas. Kolaborasi dengan berbagai pihak disarankan untuk membantu UMKM mengatasi tantangan ini dan meningkatkan kinerja keberlanjutan secara bertahap.
Pengaruh Environmental Performance Disclosure, Social Performance Disclosure, dan Good Corporate Governance Terhadap Sustainability Financial Performance pada Perusahaan Pertambangan yang Terdaftar di Bursa Efek Indonesia pada Tahun 2021-2023
Authors: Mawarni Intan , Eliza Any , Syarif Ahmad Hazas
Published: February 2025

Sustainability financial performance merupakan suatu kemampuan perusahaan dalam menghasilkan profit jangka panjang dalam mempertahankan kinerja keuangan secara berkelanjutan. Penelitian ini bertujuan untuk mengetahui pengaruh environmental performance disclosure, social performance disclosure, dan good corporate governance terhadap sustainability financial performance pada perusahaan pertambangan di Bursa Efek Indonesia periode tahun 2021-2023. Penelitian ini menggunakan metode penelitian kuantitatif dan menggunakan data sekunder yang diperoleh dari sustainability report, annual report dan sk peringkat PROPER. Populasi penelitian yaitu perusahaan pertambangan di BEI tahun 2021-2023 sebanyak 48 perusahaan, dan sampel sebanyak 16 perusahaan yang diambil menggunakan teknik purposive sampling. Analisis data menggunakan SPSS 25 dengan menggunakan analisis regresi linear berganda, uji asumsi klasik, dan uji hipotesis. Hasil penelitian menunjukan environmental performance disclosure tidak berpengaruh terhadap sustainability financial performance, sedangkan variabel social performance disclosure dan good corporate governance berpengaruh negatif signifikan terhadap sustainability financial performance.
A Analisis Modal Intelektual, Kebijakan Dividen Dan Struktur Modal Terhadap Nilai Perusahaan Dengan Return Saham Sebagai Variabel Moderasi Pada Sektor Finansial Di Bursa Efek Indonesia
Authors: Amir Ja'far , Abdurohim Abdurohim , Susanti Riana Susanti
Published: February 2025

. Penelitian kausal komparatif ini menganalisa laporan keuangan 105 perusahaan yang diterbitkan di Bursa Efek Indonesia (BEI) periode 2020-2022. Variabel yang digunakan dalam penelitian ini adalah beberapa faktor non fundamental yaitu modal intelektual (????AIC )dan faktor fundamental dari kinerja keuangan yaitu debt of equity (DER) dan dividen payout ratio (DPR) sebagai variable independent dan nilai perusahaan yang diproksikan oleh price to book ratio (PBV) sebagai variable dependen dengan return saham sebagai variable moderatingya. Hasil penelitian ini menunjukkan bahwa modal intelektual (???????????????? ), kebijakan dividen (DPR) dan struktur modal (DER) berpengaruh positif terhadap nilai perusahaan (PBV) secara simultan atau secara bersama-sama, modal intelektual (???????????????? ) berpengaruh negatif terhadap nilai perusahaan (PBV). kebijakan dividen (DPR) berpengaruh negatif terhadap nilai perusahaan (PBV), struktur modal (DER) berpengaruh positif terhadap nilai perusahaan (PBV) dan return saham tidak memperkuat hubungan antara modal intelektual (???????????????? ), kebijakan deviden (DPR) dan struktur modal (DER) terhadap nilai perusahaan (PBV)
Serum Vitamin B12 as a Risk Factor and Prognostic Indicator in Acute Ischemic Stroke: A Case-Control Study at a Tertiary Care Hospital Mirpurkhas (Sindh)
Authors: Ahsan Naveed , Shahbaz Lal , Asim Shazia , Erum Humaira , Ansari Masud Ali , Javaid Amber
Published: February 2025

Ischemic stroke is among the main causes of disability and death globally. Vitamin B12, through its role in homocysteine metabolism, may help prevent stroke, as its deficiency increases stroke risk. Objective: To compare the serum level of vitamin B12 in stroke patients and controls. Methods: The current case-control study was conducted in Mirpurkhas, Sindh, included 75 patients who suffered from stroke and 75 control subjects. Serum level of vitamin B12 and the levels of homocysteine were evaluated, along with the severity of stroke and functional outcomes were evaluated using the National Institutes of Health Stroke Scale (NIHSS) and Modified Rankin Scale (mRS), respectively, at discharge and 28 days. Statistical analysis explored associations with the severity of the stroke and its outcomes. Results: Stroke patients showed significantly lower levels of vitamin B12 (188.4 ± 43.6 pg/mL) than controls (352.7 ± 54.1 pg/mL, p<0.001). Vitamin B12 insufficiency (<200 pg/mL) was more prevalent in stroke patients (65.3%) compared to controls (18.7%, p<0.001). NIHSS scores were higher in deficient patients (13.1 ± 4.2) than those with insufficient (9.6 ± 3.1) or sufficient levels (7.5 ± 2.5, p<0.001). Worse functional outcomes (mRS 3.9 ± 1.2) were noted in deficient patients compared to insufficient (2.8 ± 0.8, p=0.007) and sufficient levels (2.3 ± 0.6, p<0.001). Logistic regression identified vitamin B12 deficiency as an independent stroke risk factor (OR=5.9, 95% CI: 2.9–12.3, p<0.001). Conclusions: It was concluded Vitamin B12 deficiency was associated with increased stroke severity and poorer outcomes, suggesting its potential role in stroke management.
Evaluating the Rising Incidence of Multidrug-Resistant and Extensively Drug-Resistant Salmonella typhi and Salmonella paratyphi in Sialkot City
Authors: Zaman Umair , Nasir Shua , Asim Shazia , Azmat Junaid , Khan Rana Muhammad Asad , Soomro Abdul Karim
Published: February 2025

In the Developing countries, Typhoid is one of the major health concerns. Most importantly the disease management is getting complicated due to multi and extensive drug resistance incidence. Objective: To investigate the incidence of causative agent’s salmonella typhi and para-typhi in the affected patients of Sialkot who were either multi drug resistant or extensive drug resistant. Methods: This descriptive cross-sectional study was conducted at the department of microbiology, Khawaja Muhammad Safdar medical college, Sialkot from January, 2024 to July, 2024. A total of 2000 patients with febrile illness were examined for the study, 500 samples of neonates were excluded and blood samples of remaining 1500 patients were collected. The blood samples were cultured on MacConkey agar and blood agar. Among the 1500 patients, only 73 were found to be infected with either Salmonella typhi or Salmonella paratyphi according to CLSI criteria. Antibiotic sensitivity was investigated and resistant to trimethoprim-sulfamethoxazole (septran), chloramphenicol, and ampicillin were labeled as multi drug resistant while resistant to ciprofloxacin and third generation cephalosporins in addition to aforementioned antibiotics were labeled as extensively drug resistant. Results: From a total of 1500 samples, n=73 salmonella positive samples were included in this research. Incidence of extensively drug resistant Salmonella was 23(32%) and multidrug drug resistant Salmonella was 7 (10%). Conclusion: This study highlighted significant resistance rates, emphasizing the need for sensible antibiotic prescriptions and judicious antimicrobial use to combat rising multidrug and extensive resistance.
Ankle-Brachial Pressure Index Correlates with Abdominal Volume Index in Normal-Weight Type 2 Diabetes Mellitus Patients
Authors: Mudassar Sahar , Lakho Mumtaz Ali , Anwar Rehan , Rehman Muhammad Atiq Ur , Zakir Humaira , Joher Imran
Published: February 2025

Obesity significantly impacts glycemic control and vascular health in Type 2 diabetes mellitus. Objectives: To compare clinical characteristics, obesity indices, and vascular status between normal-weight and obese/overweight Type 2 diabetes mellitus patients. Methods: A cross-sectional study was conducted for six months from April 2024 to September 2024 at the Medicine Outpatient Department. This study included 82 Type 2 diabetes mellitus patients divided into two groups: normal-weight (n=34) and obese/overweight (n=48). Clinical parameters such as HbA1c, BMI, abdominal volume index, and ankle-brachial pressure index (ABPI) were measured. Data were analyzed by SPSS version 23.0. Results: Obese/overweight patients were significantly older (57.74 ± 8.57 vs. 52.81 ± 9.41 years, p=0.018) and had worse glycemic control (HbA1c: 7.17 ± 0.97% vs. 6.51 ± 0.68%, p = 0.0008) than normal-weight patients. Both BMI (30.57 ± 3.39 vs. 23.13 ± 1.80 kg/m²) and AVI (16.44 ± 1.58 vs. 11.84 ± 1.61) were higher in the obese/overweight group (both p<0.0001). Ankle-Brachial Pressure Index was lower in obese/overweight patients (0.93 ± 0.15 vs. 0.99 ± 0.08, p=0.033), suggesting poorer vascular health. Negative correlations between ankle-brachial pressure index and obesity indices indicated higher adiposity was linked to vascular dysfunction. Conclusions: It was concluded that obese/overweight Type 2 diabetes mellitus patients showed poorer vascular health and glycemic control than normal-weight patients. Abdominal volume index, age, and diabetes duration independently predicted ankle-brachial pressure index, emphasizing the need to address abdominal obesity and glycemic control to mitigate vascular risks in T2 diabetes mellitus patients.
Clean Coal Technology: The Solution to Global Warming by Reducing the Emission of Carbon Dioxide and Methane
Authors: Samiul Islam F. A.
Published: February 2025

One of the primary causes of energy and global warming is coal. Acid rain, smog, and health issues are associated with the sulfur dioxide, nitrogen dioxide, heavy metals, and acid gasses that coal generates. Carbon dioxide emissions from coal are the primary source of greenhouse gases. In 2010, “The Environmental Protection Agency” discovered that almost one-third of carbon dioxide emissions were from coal-based power plants. Coal will no longer be a source of greenhouse gas emissions if energy is produced from it without burning it. Coal is still a significant source of power generation and is only growing despite its negative effects, but why? Soon, coal burning may no longer have any negative effects. Scientists have discovered numerous clean coal methods. They have found a method of producing energy that virtually eliminates pollution by not using coal. The technique, known as the Coal-Direct Chemical Looping (CDCL) approach, will virtually eradicate over 95% of the pollutants caused by burning coal. This will significantly impact the rate at which global warming occurs. Burning fossil fuels, mostly coal, releases a material known as soot, or black cotton. Due to the dark particles’ ability to absorb heat from the atmosphere, it is a dangerous dark matter. On a larger scale, black carbon also accelerates glacier melting, which alters local weather patterns because of the melted freshwater. As of right now, it is the second most important human-caused element contributing to climate change. The most important man-made factor influencing Earth’s climate is still CO2, and soot emissions from diesel engines and chimneys have a big effect on the environment. Significantly lowering global soot emissions would positively affect the environment and human health. As natural gas and renewable energy take center stage, this technology is gradually being pushed to the sidelines as it leads to the reduction of inefficient coal plants. In the US and Europe, coal-fired power plants have been phased out, but they are becoming more prevalent in Asia. Advances in technology have made it possible to emit heat without burning coal. Carefully regulating the chemical process to ensure that the carbon dioxide stays entirely inside the furnace and the coal is chemically consumed without ever burning. Water and coal ash are the only waste products from iron oxide to metal, which is recyclable. We need a remedy as the world’s carbon emissions are out of control. Currently, CDCL appears to be the only sensible solution to slowing down the current rate of global warming without doing away with coal, one of the primary energy sources.
Exploring Tourist Motivations and Experiences in Cemetery Tourism: A Study of Dark Tourism in the Philippines
Authors: Dotong Emmanuel
Published: February 2025

This study explores the motivations and experiences of tourists engaged in dark tourism in the Philippines, focusing on cemetery tourism destinations such as the Hanging Coffins of Sagada, the Sunken Cemetery of Camiguin, and the Nagcarlan Underground Cemetery. By employing a qualitative approach, the research investigates the underlying motivations of tourists, including curiosity, education, and incidental visits, as well as their personal experiences and emotional responses. The study also examines the ethical considerations and cultural sensitivities involved in promoting these sites as tourist destinations. Findings reveal that tourists are driven by a mix of educational interests and a desire for unique experiences while also highlighting the economic benefits and challenges of maintaining cultural integrity. The study highlights the need for culturally sensitive tourism practices and community involvement to ensure respectful engagement with these historically and culturally significant sites. The insights gained aim to inform sustainable tourism strategies that balance cultural heritage preservation with dark tourism’s economic potential.
Artificial Intelligence in Product Pricing and Revenue Optimization: Leveraging Data-Driven Decision-Making
Authors: Oteri Omoezime Janet , Onukwulu Ekene Cynthia , Igwe Abbey Ngochindo , Ewim Chikezie Paul-Mikki , Ibeh Augustine Ifeanyi , Sobowale Adedamola
Published: February 2025

Artificial Intelligence (AI) has emerged as a transformative tool in product pricing and revenue optimization, offering businesses a data-driven approach to decision-making. By analyzing vast amounts of historical and real-time data, AI models can identify patterns and predict consumer behavior, enabling dynamic pricing strategies that optimize revenue and improve competitiveness. Machine learning algorithms, in particular, facilitate the continuous adaptation of pricing models to market changes, competitor actions, and consumer demand fluctuations. This technology not only enhances pricing precision but also drives personalization, allowing companies to offer tailored pricing to different customer segments. The integration of AI into pricing decisions is revolutionizing industries such as retail, e-commerce, and hospitality, where it significantly enhances profitability while ensuring customer satisfaction. The use of AI in this context supports businesses in navigating complex pricing dynamics and achieving sustainable revenue growth in an increasingly competitive marketplace.
Cost Optimization in Logistics Product Management: Strategies for Operational Efficiency and Profitability
Authors: Oteri Omoezime Janet , Onukwulu Ekene Cynthia , Igwe Abbey Ngochindo , Mikki Ewim Chikezie Paul- , Ibeh Augustine Ifeanyi , Sobowale Adedamola
Published: February 2025

Cost optimization in logistics product management is crucial for enhancing operational efficiency and improving profitability in an increasingly competitive market. This paper explores various strategies that organizations can adopt to streamline logistics operations, reduce overheads, and maximize profit margins. The study emphasizes the importance of integrating advanced technologies, such as data analytics and automation, to optimize inventory management, transportation routes, and warehouse operations. It also examines the role of strategic partnerships, lean management principles, and supply chain visibility in minimizing costs while maintaining service quality. By focusing on both short-term cost-saving initiatives and long-term strategic goals, businesses can achieve a balance between reducing expenditures and ensuring sustainable growth. Ultimately, the paper provides a comprehensive framework for logistics managers to implement cost optimization practices that drive operational excellence and profitability in a dynamic market environment.
Red Planet, Green Thumb
Authors: Iavernaro Massimo
Published: February 2025

Space agencies are actively exploring solutions for sustaining human life on Mars, including the cultivation of plants in extreme environments. This article presents a high school educational experiment designed to engage students in interdisciplinary science by simulating plant growth under martian conditions, using a purpose-built martian regolith simulant (MSP-1). Using martian regolith simulant as a substrate, the study examines the growth patterns of broad beans (Vicia faba maior), chosen for their nitrogen-fixing properties, rapid growth, and ease of measurement. Key parameters analyzed include growth rates, leaf area development, and biomass production. The primary objectives of this experiment are twofold: to provide students with hands-on experience in applying scientific methods to real-world challenges and to stimulate their interest in space exploration and sustainability. While the results do not aim to introduce groundbreaking discoveries, they highlight key challenges associated with extraterrestrial agriculture and offer insights into adapting terrestrial practices for martian environments. By replicating this experiment, educators can inspire students to connect classroom knowledge with innovative problem-solving approaches, fostering critical thinking and collaboration skills. This work underscores the value of integrating practical experiments into science education and contributes to ongoing discussions on the feasibility of sustainable agriculture beyond Earth.
Digital infrastructure & sustainable data centers investment in Africa: Role of Tier III & Tier IV
Authors: Abiodun Kehinde
Published: February 2025

Africa's digital transformation is accelerating, driven by rapid urbanization, increasing mobile connectivity, and the adoption of emerging technologies such as artificial intelligence (AI), the Internet of Things (IoT), and Big Data. However, the continent faces significant challenges in digital infrastructure, including limited data storage capacity, unreliable power supply, and gaps in network coverage. This review examines the role of Tier III and Tier IV data centers in addressing Africa’s growing digital needs while promoting sustainable development. Tier III and Tier IV data centers offer high availability, fault tolerance, and scalable designs and are critical to ensuring data security, disaster recovery, and operational continuity. These facilities provide the foundation for supporting mission-critical applications, cloud computing, and advanced analytics, enabling economic growth and technological innovation. Their implementation also aligns with Africa’s sustainability goals by integrating renewable energy sources, energy-efficient cooling systems, and green building practices. This review highlights key investment opportunities, strategies for sustainable data center development, and the socio-economic impact of these facilities. Case studies from South Africa, Kenya, and Nigeria demonstrate how data centers have bridged the digital divide, created job opportunities, and enhanced connectivity. Despite challenges such as high capital costs, regulatory complexities, and unreliable power infrastructure, innovative solutions and public-private partnerships are fostering progress. The review concludes with recommendations for strengthening policies, attracting investments, and leveraging technological advancements to build resilient and eco-friendly data center ecosystems. As Africa advances its digital economy, Tier III and Tier IV data centers will play a pivotal role in achieving data sovereignty, improving service delivery, and supporting sustainable economic development.
The transformative impact of data products: The foundation for scalability and AI success
Authors: Nida Bhanu Raju
Published: February 2025

In an increasingly data-driven world, data products serve as the foundation for scalability and are critical to the success of Artificial Intelligence (AI) systems. These products transform raw data into valuable insights, tools, and automated processes that empower organizations to thrive in complex, competitive environments. This paper examines the transformative role of data products, emphasizing their contributions to scalability, AI development, business intelligence, process optimization, and regulatory compliance. With their ability to drive innovation, enhance decision-making, and future-proof enterprises, data products represent a cornerstone of modern digital ecosystems.
Decoding salesforce foundations for organizational success
Authors: Puli Kalpana
Published: February 2025

Salesforce Foundations introduces a suite of integrated features designed to enhance organizational efficiency and collaboration across departments using Salesforce's Sales Cloud and Service Cloud. This paper examines the key functionalities of Salesforce Foundations, including its impact on data management, user experience, and the potential for driving innovation within organizations. By leveraging built-in tools for sales, service, marketing, and commerce, Salesforce Foundations aims to empower administrators and teams to optimize customer relationship management (CRM) processes effectively. The implications of these enhancements for organizational success are discussed, highlighting the importance of data-driven decision-making and cross-department collaboration.
Subscription Integration and Pricing for Product Managers: Maximizing Retention and Revenue Growth
Authors: Oteri Omoezime Janet , Onukwulu Ekene Cynthia , Igwe Abbey Ngochindo , Ewim Chikezie Paul-Mikki , Ibeh Augustine Ifeanyi , Sobowale Adedamola
Published: February 2025

Subscription integration and pricing strategies have become critical for product managers aiming to optimize retention and drive revenue growth in increasingly competitive markets. This paper explores the key principles and methodologies behind designing subscription models that align with customer expectations and business goals. It emphasizes the importance of understanding customer behavior, segmenting users effectively, and tailoring subscription offerings to enhance perceived value. By integrating data-driven approaches, such as predictive analytics and A/B testing, product managers can refine pricing strategies to minimize churn while maximizing lifetime value. The role of dynamic pricing, freemium models, tiered subscriptions, and bundling strategies is examined, highlighting their impact on user acquisition and long-term engagement. Furthermore, the research delves into the psychological factors influencing subscription adoption, including perceived fairness, pricing transparency, and the anchoring effect. It also addresses challenges such as subscription fatigue and competition, offering actionable insights to mitigate these risks. Real-world case studies and best practices are presented to illustrate successful implementation strategies, empowering product managers to craft robust subscription models that balance customer satisfaction with sustainable revenue growth. The findings underscore the critical interplay between customer-centric design and strategic pricing in fostering retention and achieving scalable success in subscription-based businesses.
QUAL O PAPEL DA MORALIDADE PARA A VALIDADE DO ORDENAMENTO JURÍDICO SEGUNDO ALF ROSS?
Authors: Feitosa Patricia Ferreira Monte , Matos Nelson Juliano Cardoso , Costa Sebastião Patrício Mendes da
Published: February 2025

O trabalho refere-se a uma reflexão sobre o pensamento do filósofo realista Alf Ross, a partir da obra Direito e Justiça, especificamente, em relação à sua posição sobre a influência da Moralidade na construção do Direito, que consiste num tema constante na investigação dos juristas. A princípio, contextualiza-se seu pensamento dentro da Filosofia do Direito ao demonstrar sua ligação com a corrente do Realismo Jurídico, descrevendo suscintamente as ideias realistas. Posteriormente, a visão do autor sobre o conceito de Direito Vigente, outro dos principais conceitos abordados no livro, bem como a tangência com a Moralidade. A metodologia utilizada foi a bibliográfica, tendo como base o livro Direito e Justiça, e artigos que a referenciavam.
DO TRABALHO COOPTADO À SOCIEDADE DO CANSAÇO UMA ANÁLISE DO TRABALHO SOB A ÓTICA DE KARL MARX NA CONTEMPORANEIDADE
Authors: Silva Saula Rebeca Dantas da Veiga Angeline da , Lima Francisco Meton Marques de
Published: February 2025

O presente artigo visa discutir- a relação de trabalho em tempos pós-modernos de sociedade fluida, líquida, ágil com acesso por meio de plataformas aos mais diversificados bens e serviços. Quem é o trabalhador que está cada vez mais absorvido pela busca da dignidade humana ao tempo em que se submete à cooptação pelo sistema capitalista da venda da sua força de trabalho? Baseado numa sociedade do cansaço, em que cada vez mais se encontram trabalhadores subjugados, oprimidos pela ideia de cumprir e alcançar metas, desempenhos, ensejando a captura da subjetividade e o consequente adoecimento. Perdendo a sua identidade, acarretando a sua despersonalização, para que de modo informal, precarizado e com direitos sociais vilipendiados permaneça condicionado ao discurso neoliberal do empreendedorismo, o qual falsamente propõe uma individualização e pseudoautonomia quanto às condições de trabalho. Analisaremos sob a perspectiva de karl Marx, que já descrevia essa alienação do trabalho no seu Manuscritos econômico- filosóficos de 1844, fazendo um paralelo com a atualidade, ressaltando como foi visionária sua abordagem.
EFEITOS DA SINVASTATINA COMO AGENTE OSTEOINDUTOR EM ENXERTOS ÓSSEOS PARA REABILITAÇÃO COM IMPLANTES DENTÁRIOS: REVISÃO DE LITERATURA
Authors: Silva Nicolas Gonçalves da , Magalhães Clarissa Bichara , Brito Priscila Mendes Rabelo de , Lima Filho Luis Gonçalves de , Santos Matheus Prates , Batista Stefany Eduarda , Molina Ives Luis Velásquez , Arruda Fabyana Vasconcelos de Souza , Rabelo Daniel Pereira , Reis Ana Cristina Dallarmi
Published: February 2025

A sinvastatina é um medicamento amplamente utilizado no tratamento de dislipidemias, particularmente para reduzir os níveis elevados de colesterol LDL e prevenir doenças cardiovasculares, como infarto do miocárdio e acidente vascular cerebral. Pertence à classe das estatinas, que agem inibindo a enzima HMG-CoA redutase, responsável pela síntese de colesterol no fígado. Objetivo: Avaliar os efeitos da sinvastatina como agente osteoindutor em enxertos ósseos para reabilitação com implantes dentários. Metodologia: Esta revisão de literatura foi realizada com base em artigos científicos dispostos nas bases de dados MEDLINE via PubMed (Medical Literature Analysis and Retrieval System Online), LILACS (Literatura Latino-Americana e do Caribe em Ciências da Saúde) e Biblioteca Virtual em Saúde (BVS). Resultados: Embora os estudos atuais apresentem evidências promissoras, são necessárias mais pesquisas para estabelecer protocolos seguros e eficazes sobre a sinvastatina. Tem demonstrado efeitos beneficos além da redução do colesterol, entre esses efeitos estão propriedades anti-inflamatórias, antioxidantes e osteoindutoras. Esse último aspecto tem despertado interesse em áreas como a odontologia e ortopedia, devido ao potencial da sinvastatina para estimular a formação óssea e promover a regeneração de tecidos. Conclusão: Conclui-se que a sua capacidade de estimular a formação óssea por meio da ativação de fatores de crescimento e aumento da atividade dos osteoblastos a torna uma alternativa promissora para melhorar os resultados em enxertos ósseos. No entanto, para consolidar seu uso clínico, é essencial aprofundar as pesquisas sobre dosagens, métodos de aplicação e segurança, garantindo sua eficácia em diferentes contextos e pacientes.
Prediction of Financial Distress and Viability of Yes Bank
Authors:   Assistant Professor  Innovation The Business School, Sahoo Smruti Ranjan
Published: February 2025

This Article constitutes a comprehensive examination of financial distress prediction within the context of Yes Bank, a prominent financial institution in India. In light of the crucial role banks play in the economy and the potential systemic implications of their distress, this study delves into the intricacies of predicting such events, aiming to contribute to the existing body of knowledge in risk management, banking regulation, and financial stability.

Key words: Financial Distress, Altman Z Score, Du pont Ratio
From Syntax to Semantics: The Intersection of Natural Language Processing and Generative AI
Authors:   1B. Tech Computer Science & Engineering, Amity University Chhattisgarh, Raipur, India- 493225, Shah Shrinkhla
Published: February 2025

Natural Language Processing (NLP) is a fast-expanding subject within artificial intelligence that focuses on enabling robots to understand, interpret, and synthesize human language.

This research paper provides a detailed examination of NLP, covering its historical evolution, methodologies, applications, and its association with Generative AI (GenAI). The paper explores the transition from rule-based approaches to deep learning models such as transformers, highlighting their impact on modern NLP applications like sentiment analysis, machine translation, and chatbots. Furthermore, it discusses the role of NLP in technological advancements and its integration with big data and cloud computing. By addressing current challenges and future directions, this study contributes to a deeper understanding of NLP's potential and its expanding influence across various industries.

Key Words:  Natural Language Processing, Semantic analysis, Generative AI, Syntax Analysis, Natural Language Generation
The Role of Machine Learning in Water Quality Assessment: Current Applications and Future Scope
Authors:   2Gujarat Technological University, Information Technology Department, Rajkot, India, VORA Dr. K.B.
Published: February 2025

Water quality is vital for human health, ecosystems, industries, and agriculture. However, increasing contamination and pollution over recent decades have posed significant challenges to maintaining clean water sources. Effective monitoring is essential for safeguarding public health, protecting the environment, and ensuring sustainable water management. Artificial Intelligence (AI), particularly machine learning (ML), offers powerful tools for water quality assessment, classification, and prediction. With the rapid expansion of aquatic environmental data, ML has become indispensable for analyzing complex, nonlinear patterns that traditional models struggle to address. Unlike conventional approaches, ML-driven models can efficiently process vast datasets, improving the accuracy of water quality monitoring and forecasting. ML has been widely applied in water research, enhancing the development, monitoring, simulation, evaluation, and optimization of various water treatment and management systems. These models assist in detecting contamination patterns, predicting pollution levels, and improving decision-making processes. Furthermore, ML-driven approaches contribute to water pollution control, quality enhancement, and watershed ecosystem security management. This review explores the applications of ML in assessing water quality across diverse environments, including surface water, groundwater, drinking water, sewage, and seawater. We highlight key case studies demonstrating the effectiveness of ML in water quality management and discuss emerging opportunities for its future implementation. By leveraging AI and ML, researchers and policymakers can develop smarter, data-driven strategies for ensuring cleaner and safer water resources.

Keywords: Water Quality, Machine Learning, Prediction, Future Applications
Digital Framework with Adaptive Learning and Smart Analytics
Authors:   Computer Science and System Engineering, Lendi Institute of Engineering and Technology, Viziangaram., .Lohitha G
Published: February 2025

The Integrated Learning Management System (LMS) with Role-Based Access and Dynamic Assessment Generation is designed to streamline educational processes for both students and administrators. This advanced portal offers a user-friendly interface with distinct functionalities tailored to each role. Admins can efficiently manage courses, generate and organize exam questions, create assessments, and monitor student progress through a comprehensive dashboard. Students, on the other hand, benefit from access to course materials, interactive assignments, and real-time exam results. The system features secure login mechanisms, a robust database for storing user and course data, and tools for tracking academic performance. Utilizing modern technologies such as Html, CSS, and Java script for the frontend and MySQL for the backend, this LMS ensures a seamless and scalable educational experience.

Key Words: Learning Management System (LMS), Role-Based Access Control, Dynamic Assessment Generation, Course Management, Exam Creation and Management, Question Bank, Student Progress Tracking, Admin Dashboard, Secure Authentication, User Authentication
(LLM) AI Generated Text Detection
Authors:   1Professor, Dept of Computer Engineering, JSPM’s Jayawantrao Sawant College of Engineering Pune, Shivarkar Prof Sayali
Published: February 2025

Large Language Models have completely revolutionized text generation, with significant studies reporting an unprecedented quantity of human-quality content. Still, this super capability comes with some grave risks: the spreading of misinformation at an unprecedented scale, academic plagiarism, and even erosion of trust in written communication. We are therefore developing a robust AI-generated text detection system. Our two-phased approach first involves training a neural network classifier on at first carefully hand-crafted textual features designed to capture subtle variations between human and LLM-generated text, then creating a web application using Next.js that allows a user to easily input text to analyze and receive a clear classification outcome. This project is yet another contribution to combat the spread of misinformation and to the preservation of academic integrity. But most importantly, for the responsible and ethical use of powerful AI technologies.

Keywords: AI-Generated Text, Text Detection, Large Language Models, Machine Learning, Academic Integrity, Misinformation, Authenticity
THE IMPACT OF BRAND CREDIBILITY ON BRAND EQUITY IN THE BEAUTY INDUSTRY
Authors: Hasdiansa Ilma Wulansari
Published: February 2025

This research investigates the impact of brand credibility on brand equity in the beauty industry, particularly focusing on skincare products. The objective is to explore how the perceived trustworthiness and expertise of a brand influence its overall brand equity, which includes customer loyalty, brand awareness, perceived quality, and brand associations. Using a quantitative approach, data were collected through surveys distributed to 45 consumers who are regular users of beauty products. Statistical analysis, including regression analysis, was used to examine the relationship between brand credibility (comprising trustworthiness and expertise) and brand equity. The results show that brand credibility has a significant positive effect on brand equity, with trustworthiness emerging as the stronger predictor of brand equity compared to expertise. These findings suggest that brands in the beauty industry can enhance their market position by improving their credibility, particularly in terms of trustworthiness. The research concludes that building a trustworthy brand image is essential for strengthening brand equity and sustaining consumer loyalty in a competitive market.
Analysis of Debt to Asset Ratio and Debt to Equity Ratio on Return on Assets in Hotel, Restaurant, and Tourism Sub-Sector Companies Listed on the Indonesian Stock Exchange
Authors: Mursalini Wahyu Indah , Sriyanti Esi , Septiana Sherli
Published: February 2025

The purpose of this study is to investigate the influence of debt-to-asset and debt-to-equity ratios on the return on assets of companies operating in the hotel, restaurant, and tourism sector that are publicly traded on the Indonesia Stock Exchange between 2020 and 2023. Using a sample of 88 data from 22 businesses in this subsector, the methodology used is a quantitative approach with correlation analysis. Literature review and documentation were used for data collection, while multiple linear regression, descriptive statistical tests, and hypothesis testing were used for data analysis. With a value of t-value -3.384 > t-table 1.987 and Sig. 0.001 < 0.05, so the research findings show that the Debt to Assets Ratio (X1) variable has a partial influence on Return on Assets (Y). Apart from that, if t-value 6.468 > t-table 1.987 and Sig. 0.016 < 0.05, then the Debt-to-Equity Ratio (X2) also influences Return on Assets (Y). These two factors simultaneously influence Return on Assets (Y), with Sig. 0.000 < 0.05 and f-value 22.010 > f-table 3.10. During the 2020–2023 period, the hotel, restaurant and tourism subsectors listed on the Indonesia Stock Exchange experienced a combined impact of 34.1% from the Debt to Assets Ratio (X1) and Debt to Equity Ratio (X2) on Return on Assets (Y).
Analysis of Foreign Ownership on Tax Avoidance
Authors: Mardiani Isni , Ajitama Ombih , Pahala Indra , Wahono Puji
Published: February 2025

Economic globalization has driven the flow of foreign direct investment (FDI) to various developing countries including Indonesia. Increasing foreign ownership in domestic companies has brought positive impacts such as job creation, technology transfer, and increased global competitiveness. However, on the other hand, there are concerns that foreign ownership in companies can also increase tax avoidance practices. Businesses with overseas ownership frequently exploit gaps in tax laws across different countries due to their access to global networks and additional resources. Research on a specific sample revealed that foreign ownership tends to have a detrimental impact on tax evasion. However, there are conflicting studies that suggest a positive or neutral outcome. This indicates that the level of tax evasion within a company is heavily influenced by its internal and external policies, as well as the various market environments it operates in.