bluuebunny/crossref_metadata_2025 huggingface dataset:
Enhancing Obstacle Tracing in Self-Driving Cars by Combining Infrared Camera and Radar Sensor.
Authors: Awasthi Tanisha
Published: December 2024

Building safe and reliable autonomous vehicles depend on accurate and efficient obstacle detection and tracing systems. On the other hand, this paper focuses on improving obstacle tracing in autonomous cars by employing infrared sensors and radar cameras within the framework of Bayesian networks. The proposed system merges the capabilities of the two sensors to enhance the fidelity and consistency of the interpretation of the external environment concerning obstacle detection. A Bayesian network is used to describe the uncertainty associated with each sensor, obstacle complexity, and environmental variables which, in turn, enable real-time interaction and dynamic control. The experiments' results are a good validation of the hypothesis, showing that the proposed system enhances the accuracy of obstacle tracing, decreases the number of false positives and negatives, and improves the safety and efficacy of self-driving cars.

Keywords - Self-driving cars, Bayesian Networks, Infrared Sensors, Radar Cameras, Obstacle Detection, Sensor fusion.
Autonomous Weed Detection for Precision Spraying Using Deep Learning
Authors:   Student, Dr.D.Y.Patil agricultural Technical university Talasande , Kolhapur, India, Charane Er.Savita P. , Patil Dr. Sangram , B. Patil Dr. Jaydeep ,   Professor,, Dr.D.Y.Patil agricultural Technical university Talasande , Kolhapur, India
Published: December 2024

The emergence of artificial intelligence (AI) and Internet of Things (IoT) technologies is revolutionizing agricultural practices by facilitating smarter and more efficient methods of farming. This manuscript delineates the creation of an autonomous robotic system specifically engineered for precise weed detection and the selective application of herbicides within agricultural domains. The proposed system integrates a robotic vehicle outfitted with a deep learning-based vision apparatus to identify weeds, alongside a selective spraying mechanism that exclusively targets undesirable flora, thereby diminishing herbicide consumption and lessening environmental repercussions. The robotic vehicle operates autonomously within the agricultural landscape via waypoint navigation, concurrently capturing real-time video through an affixed camera, which is subsequently analyzed to detect and pinpoint weeds. By utilizing AI-driven inference outcomes, the selective spraying mechanism is activated solely upon the identification of weeds, thereby enhancing resource efficiency and alleviating manual labor requirements. This methodology offers a scalable and sustainable alternative to conventional weed management strategies, thereby assisting farmers in curtailing expenses while augmenting field productivity. Empirical field trials substantiate the efficacy of the system in autonomously traversing diverse agricultural settings and executing precise weed spraying with accuracy.

Key Words:  : Autonomous robotic vehicle, precision agriculture, weed detection, deep learning, IoT, selective spraying, waypoint navigation, herbicide reduction, smart farming etc.
Artificial Intelligence in Pharmacy: Innovations, Applications, and Future Emerging Challenges
Authors: Amin Al , Chowdhury Dr. Iffat Quaes , Abyaz Rodshi , Alom Simla , Siam       Sanzida Afrin , Imran Dr. Al , Lia Fahmida Sultana , Azad Professor Abul Kalam
Published: December 2024

AI is transforming the world of pharmaceuticals, spurring innovation in areas like drug discovery, drug development, drug manufacturing, microbiology and personalized medicine. Artificial intelligence (AI) is changing the way drugs are identified, provided, and optimized to ensure patient safety by utilizing advanced technologies such as machine learning (ML), deep learning (DL), and natural language processing (NLP). This aids in the faster, accurate identification of drug candidates, enhances clinical trials, and leads to improved therapeutic pipelines by facilitating precise and efficient data analysis. AI helps speed up drug discovery through analyzing vast datasets to also predict molecular interactions and possible side effects. In microbiology, AI is contributing both to identifying antimicrobials and tackling the challenges presented by antimicrobial resistance (AMR). AI applications on patient-data (such as genetic information, lifestyle choice, and clinical histories) can contribute in delivering personalized medicine that enhances the efficacy of treatment by providing information for exposures and reducing negative outcomes. In addition, it strengthens pharmacovigilance initiatives through real-time analysis of drug safety in the post-market space, early detection of ADRs, and risk assessment to address safety concerns for patients. AI has also been a game-changer in various pharmaceutical manufacturing areas where AI accelerates the production process and improves product uniformity. Artificial intelligence-based algorithms are maximizing automation, making supply chains more efficient, and reinforcing quality management systems. AI can track manufacturing processes in real time by examining data from sensors and equipment, allowing it to identify and address problems before they arise, leading to more efficient and manufacturing processes. However, there are still substantial barriers to the widespread adoption of AI in healthcare. One pressing issue is how to tailor AI technologies to healthcare systems that, in general, have quality and standardized datasets to provide the best possible outcomes. Challenges associated with data privacy, regulatory frameworks, and the need for transparent and interpretable AI models persist. The obstacles remain, but the potential to transform drug development, manufacturing, and patient care is immense with AI. This review discusses the expected impacts of AI in the pharmaceutical practices and the challenges ahead to be able to unlock these benefits from AI in a health-care setting.

Key Words: Artificial Intelligence, Precision Medicine, Drug Discovery, Machine Learning, Pharmacovigilance
Risk factors for postnatal depression among recently delivered young women in Rural Karnataka, South India
Authors:   School of Arts, Humanities and Social Sciences, REVA University, Bangalore, Karnataka, India, Siddaiah Anand , Zhao Xin ,   School of Arts, Humanities and Social Sciences, REVA University, Bangalore, Karnataka, India, Nanjaiah Shivamma ,   Division of Public Health Practice & Translational Research, Mel & Enid Zuckerman College of Public Health, University of Arizona, Tucson, USA, Krupp Karl ,   Public Health Research Institute of India, Mysore, India, Srinivas Vijaya ,   Public Health Research Institute of India, Mysore, India, Krishna Murali ,   Public Health Research Institute of India, Mysore, India, Muralidhar Kiranmayee ,   Public Health Research Institute of India, Mysore, India, Placek Caitlyn ,   Public Health Research Institute of India, Mysore, India, Madhivanan Purnima ,   Public Health Research Institute of India, Mysore, India
Published: December 2024

ostnatal depression (PND) is a global public health issue that is associated with devastating and persistent outcomes in mothers and children. In India, PND affects one-in-five first-time mothers. Research on PND among populations in rural settings in India is limited. We aim to describe the prevalence of and risk factors for postnatal depression among a sample of women in their postnatal period in a rural setting in Mysore, South India. Participants were recruited from a large quasi-experimental study that examined the feasibility and acceptability of using mobile medical clinics for antenatal care and HIV testing for pregnant women living in rural communities. All postpartum women completed the PHQ-9 along with a brief survey after completion of the informed consent process. Logistic regression was used to identify factors associated with PND. A total of 148 mothers 16-20 weeks postpartum completed the study (Mage = 22.9 years, SD ±3.40). About 18.9% met the screening cut-off for postnatal depression using PHQ-9 with scores ≥10. After controlling for age and interaction term for participants’ age and their spouses’ education level, postnatal mothers residing with husbands with higher levels of education had significantly lower odds of depression symptoms (Odds Ratio: 0.25; 95% CI: 0.10-0.6) as compared to those whose husbands had lower education levels. High prevalence of PND indicates the need for early screening, evidence-based intervention programs, and capacity building for frontline health workers such as Auxiliary Nurse Midwives and Accredited Social Health Activists who work closely with pregnant and postnatal mothers in rural communities. This study also indicates the need for research on husbands’ level of understanding of PND, and their attitudes immediately after their wives’ delivery in rural communities.
ASSESSMENT OF THE ECONOMIC FEASIBILITY OF THE PARTICIPATION OF CONTRACTORS IN PUBLIC PROCUREMENT OF CONSTRUCTION WORKS
Authors: Ablyazov Timur , Tikkoev Vladislav
Published: December 2024

The study of the economic feasibility of attracting contracting organisations to perform public contracts for construction works is a relevant area. This study analyses domestic and foreign literature devoted to the issues of support for small enterprises in the public procurement market and measures that stimulate competition for public contracts. Based on open data, an up-to-date database was formed, which reflects the current situation of construction companies in the public contracting market. The results of the data analysis are given in the text of the article. The information obtained became a ground for discussion of the current impact of public contracts on construction companies and helped to formulate topical issues and theses that will help to further increase the transparency and efficiency of the public procurement tool for construction suppliers.
ASSESSMENT OF THE TOURIST AND RECREATIONAL POTENTIAL OF THE LAKES OF THE CITY OF KRASNODAR
Authors: Golubyatnikova Ekaterina , Maksimov Dmitry
Published: December 2024

The article presents the results of research on the tourist and recreational potential of water bodies within the boundaries of the municipality of Krasnodar, conducted using the author's methodology based on previously developed methodological approaches. The assessment of the degree of suitability of the use of the city's water bodies for tourism and recreation purposes was carried out according to a set of parameters: water quality according to the main hydrochemical indicators, the degree of attractiveness and uniqueness of landscapes, the development of tourist infrastructure, the intensity of use in tourist and recreational activities, taking into account the principles of rational recreational nature management, etc.; and the limiting factors of the development of the tourist and recreational sphere are also identified (for example, pollution of reservoirs). According to the developed assessment scale, the most promising water bodies for organizing recreation for the population have been identified – Lakes Staraya Kuban and Verkhneye Pokrovskoye. In conclusion, measures are proposed aimed at increasing the tourist attractiveness of all the studied reservoirs, the main of which are aimed at eliminating sources of lake pollution, landscaping the coastal zone, expanding the types of their tourist and recreational use, monitoring the wastewater treatment system, etc.; The necessity of creating a cadastre of tourist resources was also determined, due to the importance of providing executive authorities, local governments and tourist organizations with up-to-date information about the tourist potential of a particular territory.
RESEARCH ON LOW-CARBON ECONOMIC DEVELOPMENT MODEL OF RUARL AREAS IN CHINA (CASE STUDY OF JILIN PROVINCE)
Authors: Lu Yiqi
Published: December 2024

Currently, China is in the process of transition from traditional agriculture to innovative agriculture. It is necessary to transform the economic development of rural areas and move towards low-carbon development. The object of the study is rural areas of Jilin province. The paper analyzed the main factors affecting carbon dioxide emissions in rural areas of Jilin province. Considering the current situation of rural development in Jilin Province, it is proposed to transform the economic development of rural areas based on the principles of a low-carbon economy, introduce low-carbon concepts and technologies of agricultural production, thereby changing traditional rural life, organization and management methods, and introduce a low-carbon model of rural economic development.
Adaptive-biologized potato cultivation technology
Authors: Fedotova Ludmila , Timoshina Natalia , Knyazeva Elena , Arsentiev Ilya
Published: December 2024

The article presents the results of research obtained in two experiments. The objective of the research in the 2010-2012 (leached chernozem, Tambov region) and 2021-2023 (sod-podzolic medium loamy soil, Moscow region) field experiments was to study the possibilities of cultivating domestic potato varieties using adaptive biologized technologies and to compare them with the traditional mineral system. The introduction provides literature data on the degradation of arable land, including under potato plantings, and the reasons causing it. A series of experiments have proven that in order to increase the productivity of potato crop rotations, it is necessary to use green manure, calculate fertilizer doses taking into account soil fertility and the planned yield; a 50% reduction in the doses of NPK fertilizers in combination with green manure and biologically active preparations: azotovit, phosphatovit, bisolbisan, bisobifit, agrovin, etc.
Under conditions of prevailing heat and drought in 2010-2012, in the experiment on leached chernozem, the effect of pre-planting treatment of tubers with bacterial preparations (azotovit, 1 l / t + phosphatovit, 1 l / t) was most pronounced in the crop rotation link [(buckwheat + vetch) - potatoes], while bacterial preparations worked well both in unfertilized soil (24.6%) and against the background of half the dose of NPK (20.2%). Also, a high effect of bacterial fertilizers was obtained when cultivating potatoes for 3 years in one place: from 10.6% against the background of a full dose of NPK to 27.0% against the background of a half dose of NPK. In a field experiment on sod-podzolic medium loamy soil (2021-2023), a relatively high potato yield (up to 29.3 t / ha) was ensured by its placement after plowing oilseed rape against the background of a half dose of N31P37K82Mg10 + biopreparations. Complex mineral nutrition against the background of plowing young weeds: [Weeds + (N33P41K79Mg7 + BisolbiFit) + 2-fold spraying of BisolbiSan and Agrovin] also made it possible to obtain a high return on investment and increase the yield to 26.5 t / ha. The increase in yield from the input of agrochemicals against the background of plowing in weed biomass was higher than the values of similar field variants with rapeseed.
Revisiting operations strategy for competitiveness: Exploring potential research opportunities
Authors: Chebo Abdella Kosa , Endeshaw Berhanu , Haile Robel , Dhliwayo Shepherd
Published: December 2024

Operations strategy for competitiveness have been the subject of extensive and developed research. Despite the topic's wider applicability, there is a lack of a thorough understanding of the conceptual connections and effects of the field in this dynamic business environment. It is therefore appropriate to assess its progression and shape a possible future direction. Through scientific mapping and thematic progression, this study synthesizes existing research and proposes paths to advance the operations strategy for competitiveness research. The study reveals earlier, deeply researched themes like operations research, quality assurance, and strategic planning as well as more recent topics that have attracted scholars' interest, like decision-making, sustainability, cost- and profit-optimization, and investments in environmental management. In addition, the key themes are organized into five categories: manufacturing and competition, supply chain management, costs, decision-making, and sustainable development. Generally, this study offers a comprehensive resource to acquire knowledge about the recent advancements, trends, and future paths of operation strategy and competitive advantage.
Compliance with personal protective equipment use among clay works employees
Authors: Kibirige Israel , Niyitegeka Josue , Mutekanga D. R.
Published: December 2024

This study examined how personal factors: knowledge and attitudes; and company factors: commitment, availability of personal protective equipment (PPE), adequacy of equipment, and work arrangements are compliant with the use of PPE among Clay Works factory employees. Failure of compliance results in occupation health problems. Hence, a need to examine both personal and institutional factors in this factory. The study employed descriptive and analytical cross-sectional research designs with qualitative and quantitative data collection approaches. Data was collected from a purposively selected 133 employees and 5 management staff of Unique Clay Works Limited. Quantitative data was collected using a questionnaire, which was distributed to all 133 respondents. Qualitative data were collected using face-to-face interviews.  Quantitative data was analysed using descriptive statistics and qualitative data was analysed using coding. The results show that the level of compliance with the use of PPE was low (30.1%). The regression-adjusted Odd Ratio shows that females are 4.95% more likely to comply than males. At the same time, commitment by management accounted for 17.56% (p < 0.05). It is recommended that employers need to consider gender as an important factor regarding PPE compliance in the company and that companies uphold PPE compliance and also assess productivity as a consequence of compliance.
Impact of global innovation indicator on China’s exports development
Authors: Ismail Hosameldin H.
Published: December 2024

This research is intended to study the impact of global innovation indicators on Chinese exports development, through describing and analyzing impact the seven innovation indicators on the Chinese exports as well as  impact of the key innovation indicator on the Chinese exports, and getting to know the concept of innovation, types of innovation , as well as importance of innovation in achieving economic development, offering  job opportunities, contributing to finding innovative solutions for problems, in addition to referring to the seven innovation indicators, which are institutions, human capital, research, infrastructure, market development, business development, knowledge outputs and creative outputs. The research is also intended to study innovation development in China, as China adopted implementation of an innovation-based economic development strategy in 2006, so it took the initiative to set up high- tech zones, technology parks, innovation clusters and funds to support creative projects. China now ranks first worldwide in terms of number of patent applications submitted to the national patent agencies. The Chines government has been keen to increase spending on research, development and innovation to boost exports and thus drive the economic development process. Statistical analysis tools such as simple linear regression, correlation coefficient and coefficient of determination will be used to measure impact of the seven global innovation indicators as independent variables and gross exports as a dependent variable. Outcomes of statistical analysis showed that there is a direct correlation between human capital index and the Chinese researches and exports, while there is no direct correlation between business environment development index and the Chines exports, indicating that business environment in China needs more government efforts to be exerted to improve and develop business environment which includes knowledge businesses, innovation links and knowledge absorption.
Smart irrigation system using PLC, SCADA, and fuzzy control
Authors: Morsi Iman , Ahmed Maged
Published: December 2024

This paper describes the design of smart irrigation control system for a 20-acre farm in Alexandria, Egypt, based on a Graphical User Interface GUI, Supervisory Control and Data Acquisition systems SCADA, Programmable Logic Control PLC, Fuzzy Logic Control FLC, and sensors.  A SCADA system with a local Human Machine Interface HMI screen, and remote control through a VPN connection is applied to monitor and regulate the field sensors. There are various agricultural crops on this farm which are affected by the environmental parameters. The measured input parameters are soil moisture, wind speed, pressure, temperature, humidity, rain fall, and soil conductivity. The measured data are extracted from the sensors. The output is then carried out based on the applied PLC, SCADA, and fuzzy control which are designed and implemented to make a decision about the suitable operational irrigation pumps can be used. The comparison between the total daily power consumption per day for the traditional irrigation system which is 352 KWh/day, and the total daily power consumption per day for the smart control irrigation system which is 242 KWh/day, resulting the reduction rate in power and cost is 31.25%. PLC, SCADA, and fuzzy control ensure long-term water conservation in agriculture and reduction in the power consumption.
Dasar Pendidikan Agama Anak: Perspektif Nilai Sosial Budaya Masyarakat Aceh
Authors: Rahmi Aulia , Chairullah Chairullah , Fadhilah Fadhilah
Published: December 2024

Adat ngon hukom hanjet cree lage zat ngon sifet, meaning that Islamic law and customary traditions are inseparable, like essence and attribute. This Acehnese proverb reflects the deep interconnection between customary traditions (adat) and Islamic law (syara’). Without Islamic law, there would be no regulations for customs, and without customs, there would be no means to implement Islamic law. Consequently, Islam profoundly influences Acehnese culture, embedding Islamic values into most cultural practices. For instance, children are taught religious lessons from an early age, particularly about reading the Quran, performing prayers, moral conduct, and prohibitions according to tradition. Cultural traditions that embody child-rearing teachings include Peucicap, bringing children to religious teachers (teungku), circumcision ceremonies, Meudamee,  peuayôn aneuk (putting children to sleep), mutual cooperation (gotong royong), Quran graduation ceremonies, and more.
Arah Kebijakan dan Strategi Pendidikan Islam Kementerian Agama Indonesia
Authors: Zamahsari Abdul Aziz
Published: December 2024

The educational path is a vehicle through which students develop their potential in an educational process by the objectives of education. In reality, there are still many problems in implementing the education system, especially Islamic education in Indonesia. The transformation of Islamic education, which refers to the direction of the Ministry of Religion's policy in the field of education, needs to be carried out by further developing a broader concept of education by the dynamics and developments of society. The method used in this study is library research. The results of this study indicate that: 1) Islamic education must be directed to (i) creating Islamic morals, faithful, and pious humans, (ii) believing it as a truth, and (iii) proving it in action. 2) The direction of Islamic education policy in the Ministry of Religious Affairs of the Republic of Indonesia includes: a) Strengthening the education system with a moderate perspective, b) Increasing the quality of educators in educational units, c) Increasing student participation in educational units, d) Increasing the number of teachers who meet the SNP, e) Increasing the standard of education quality, f) Strengthening student character education, g) Increasing the quality of vocational education based on cooperation with the world of work/industry, h) Increasing the quality of PTKI with an international reputation, i) Increasing the quality of PTK graduates accepted in the world of work, j) Increasing the quality of research utilization, k) Increasing the effective and accountable organizational governance of the Directorate General of Islamic Education.
Phân lập và xác định đặc điểm các dòng nấm men từ men rượu trên địa bàn thành phố Cần Thơ
Authors: Huy Huỳnh Quốc , Trinh Nguyễn Thị Mỹ , Ngọc Trần Thị Như , Châu Lưu Minh , Thạnh Nguyễn Ngọc , Tiên Đoàn Thị Kiều , Phong Huỳnh Xuân
Published: December 2024

Nghiên cứu được thực hiện nhằm phân lập các dòng nấm men từ các mẫu men rượu trên địa bàn thành phố Cần Thơ và xác định một số đặc điểm của các dòng nấm men được phân lập như khả năng chịu cồn, khả năng chịu nhiệt, khả năng kết lắng và khả năng sinh H2S. Từ đó có thể lưu trữ được nguồn nấm men thuần dòng để ứng dụng vào quá trình lên men rượu gạo tại địa phương. Kết quả nghiên cứu đã phân lập được 12 dòng nấm men từ 5 mẫu men rượu. Khi đánh giá hoạt tính chịu cồn, các dòng nấm men này đều chịu được nồng độ cồn ở mức 8 % v/v, trong đó có 10 dòng chịu được nồng độ cồn ở mức 12 % v/v. Tất cả dòng nấm men phân lập được đều có khả năng phát triển ở nhiệt độ 30 oC và 37 oC, 8 dòng có khả năng phát triển ở nhiệt độ 40 oC và 3 dòng có khả năng phát triển ở nhiệt độ 45 oC. Ngoài ra, 12 dòng nấm men phân lập được đều không sinh H2S và có khả năng kết lắng tốt.
Exploring targeted apoptosis in huh-7 human liver cancer cell line through Mentha Officinalis-mediated gold nanoparticles: an in vitro study
Authors: R. Anitha
Published: December 2024

Functionalized gold nanoparticles (AuNPs) have emerged as promising tools for targeted cancer therapy due to their unique physicochemical properties and tunable surface chemistry. Research has highlighted hepatocellular carcinoma (HCC) as a significant global health concern, ranking as the fifth most prevalent cancer and the third leading cause of mortality worldwide. Despite advancements in diagnosis and treatment, effectively combating this disease remains challenging. Therefore, there is a pressing need to explore novel diagnostic and therapeutic approaches. Cancer nanotechnology has emerged as a promising field in medicine, aiming to revolutionize cancer diagnosis and treatment. Gold nanoparticles (GNPs/AuNPs) have garnered considerable attention due to their biocompatibility, ability to undergo surface modifications with various ligands, and exceptional optical properties, offering potential avenues for innovation in cancer management. In the present study, the potential of biosynthesized AuNPs functionalized with Mentha officinalis aqueous extract (MO-AuNPs) was explored for selectively inducing apoptosis in human liver cancer cell line (Huh-7). This research delves into various aspects of gold nanoparticles (AuNPs) synthesized using Mentha officinalis extract, including synthesis, stability, antioxidant properties, anti-inflammatory effects, cytotoxicity, and apoptosis induction potential. The synthesis of MO-AuNPs is described, mechanistic insights into apoptosis induction by MO-AuNPs are provided.
Phytochemical composition and neuroprotective potential of Mirabilis jalapa: a review
Authors: NS Disha
Published: December 2024

Four-o’clock plant, scientifically named as Mirabilis jalapa, has gained significant attention for both its ornamental beauty and its medicinal properties, widely utilized as folk remedies. It is a plant grown in the warm climate as a species and showed different pharmacological effects in various therapeutic sectors such as neuroprotective and anxiolytic. Using PubMed, Web of Science Semantic Scholar and Google Scholar and the search terms Mirabilis jalapa phytochemicals; neuroprotection; anxiolytic effect; traditional medicine; flavonoids; alkaloids and neurological disorders literature supporting the medicinal role of Mirabilis jalapa were sourced. The members of Mirabilis jalapa contain flavonoids, alkaloids, triterpenes leaves and saponin through which it provides possibility for the neuroprotection feature. According to research, extracts of the plant can help prevent oxidative stress, a major factor in illnesses including Alzheimer’s and Parkinson’s. Animal studies reveal that components from M. jalapa interfere with Aluminum cytotoxicity by increasing antioxidant enzyme levels, as well as decreasing oxidative damage biomolecules. In addition, the flavonoid constituent has anxiolytic effects because its extract interferes with GABAergic transmission, whereas its effectiveness is comparable to diazepam. Furthermore, the plant has exhibited anticonvulsant effect possibly due to interaction with Ca channel and Glu transmission. Thus, these studies show directions in which the plant works, indicating that it may possess valuable means to treating neurological disorders. However, further clinical trials are needed to understand the exact effects of the plant in human organisms. Mirabilis jalapa therefore, is Discovered to be of great potential as a natural antioxidant and neuroprotective compound as well as anxiolytic remedies.
The combined effect of medicinal plant extract and sulfonylurea agent: a preliminary study to evaluate anti-diabetic potential in experimental animals
Authors: Thakkar Vaishali
Published: December 2024

Chronic metabolic diseases like diabetes mellitus have a huge terrible effect on a society's health and monetary system. because there are various issues with the treatment this is now available. it is important to search for trade remedies. A aggregate of natural and allopathic remedy can be an effective remedy as an possibility to available treatment. therefore, the purpose of this take a look at have turn out to be to take a look at the combination anti-diabetic outcomes of Glibenclamide and “aloe vera” extract in experimental animals. The antihyperglycemic pastime turned into assessed using an oral glucose tolerance take a look at and diabetes brought about using manner of the use of streptozotocin (STZ) & excessive fat weight loss plan (HFD) version in rats. Wister rats were divided into 5 organizations. business enterprise I was dealt with with a normal pallet diet regime. group II come to be given HFD and streptozotocin. employer III has come to be given HFD &Streptozotocin and treated with Glibenclamide. organization IV was modified into given HFD & Streptozotocin and dealt with with “aloe vera” extract. agency V modified into given HFD & Streptozotocin and handled with a way containing “aloe vera” extract and Glibenclamide. Physiological parameters which incorporate body weight and biochemical parameters consisting of blood glucose, HbA1c level, lipid profiles, and oxidative strain parameters collectively with glutathione (GSH) & malondialdehyde (MDA) degree were used to assess the antidiabetic potential of a method containing “aloe vera” extract and glibenclamide. approach containing “aloe vera” extract and Glibenclamide. device containing “aloe vera” extract and Glibenclamide has a good-sized effect in controlling blood glucose ranges. lower in HbA1c degree, and lipid profiles (besides HDL stage)verify effective anti-diabetic remedy of the test system. similarly, massive adjustments in GSH & MDA tiers propose a functionality synergistic anti-oxidant impact of the mixed remedy. the existing take a look at observed out that a technique containing “aloe vera” extract and Glibenclamide confirmed a good sized antidiabetic ability, via the reversing of hyperlipidemia, and oxidative pressure fame in non-diabetic & diabetes rats.
Redesigning Pricing Systems for E-Commerce Platforms: A Case Study in Backend Optimization
Authors: Gupta Hari , Siddharth
Published: December 2024

The dynamic nature of e-commerce requires adaptable and efficient pricing systems to meet the demands of competitive markets. This study presents a comprehensive approach to redesigning pricing systems for e-commerce platforms with a focus on backend optimization. By analyzing the limitations of traditional pricing architectures, we propose a robust framework that leverages microservices, scalable databases, and machine learning algorithms to enhance pricing accuracy and agility. The redesign emphasizes modularity, enabling real-time price adjustments based on market trends, inventory levels, and consumer behavior. A case study of an e-commerce platform's transition to the proposed system demonstrates significant improvements in performance metrics, including reduced latency, increased system reliability, and enhanced revenue growth. This research highlights the importance of integrating advanced technologies and streamlined backend processes to sustain a competitive edge in the e-commerce industry. The findings serve as a guide for businesses aiming to modernize their pricing systems and align them with evolving market dynamics.
Comparison of Container Orchestration Engines
Authors: Shah Samarth , Jain Ujjawal
Published: December 2024

Container orchestration engines have become essential for managing containerized applications in modern cloud-native architectures. These tools automate the deployment, scaling, networking, and management of containers, enabling seamless application lifecycle management. With a growing number of orchestration solutions available, understanding their features, strengths, and limitations is crucial for selecting the right platform.
This paper presents a comparative analysis of prominent container orchestration engines, highlighting their core functionalities, architectural design, and suitability for different use cases. Key areas of comparison include resource allocation, fault tolerance, scalability, and integration with DevOps workflows. The study explores how these platforms address challenges such as dynamic workload management, service discovery, and inter-container communication while maintaining high availability and system resilience.
The analysis reveals that while some platforms excel in simplicity and ease of deployment, others provide advanced features tailored to complex, large-scale systems. Additionally, open-source orchestration tools are evaluated against proprietary solutions in terms of community support, customization capabilities, and total cost of ownership.
This comparative study aims to assist organizations and developers in identifying the most suitable container orchestration engine based on their operational needs and technical constraints. By understanding the trade-offs and unique features of each platform, stakeholders can make informed decisions that optimize performance, reduce operational overhead, and support efficient application delivery in a rapidly evolving technology landscape. This abstract underscores the importance of aligning platform capabilities with organizational goals for successful containerized application management.
Advanced Data Modeling Techniques in SAP BW/4HANA: Optimizing for Performance and Scalability
Authors: Balasubramanian Vaidheyar Raman , Chhapola Akshun , Yadav Nagender
Published: December 2024

The increasing demand for faster and more scalable data processing in business intelligence systems has led to the adoption of advanced data modeling techniques in SAP BW/4HANA. SAP BW/4HANA, built on the in-memory computing platform of SAP HANA, offers significant advantages in terms of performance and scalability. This paper explores the latest data modeling methodologies within SAP BW/4HANA to enhance system performance and accommodate the growing complexity of business data. Key strategies for optimizing data models include leveraging the power of HANA's in-memory capabilities, implementing optimized object structures, and utilizing data tiering for efficient storage management. The use of advanced modeling techniques such as composite providers, enhanced data flows, and the integration of SAP HANA's native capabilities for real-time analytics are also discussed. Furthermore, the paper addresses the challenges involved in managing large-scale data environments, ensuring data consistency, and implementing best practices for performance tuning. By focusing on these advanced approaches, organizations can achieve higher data throughput, reduced query response times, and greater scalability, enabling them to effectively handle large volumes of data across multiple systems. The implementation of these techniques not only enhances the operational efficiency of SAP BW/4HANA but also provides businesses with actionable insights that drive data-driven decision-making. The paper concludes by highlighting the future directions in data modeling within SAP BW/4HANA and the ongoing evolution of its features for emerging business needs.
Transdermal Patches: Design and Current Approaches Using Natural Polymers
Authors: Kumar Aman , Sahani Vandana , Patil Shivanand M.
Published: December 2024

One method of controlled drug delivery is the transdermal drug delivery system (TDDS), which aims to distribute the drug through the skin at a predetermined and regulated rate. It provides a number of benefits, including a longer therapeutic impact, fewer side effects, increased bioavailability, better patient compliance, and simple medication therapy discontinuation. For most compounds, the stratum corneum is thought to be the rate limiting barrier in transdermal penetration. The appendageal, transcellular, and intercellular pathways are the three main ways that drugs can enter the body. When giving medication by this route, it is important to take into account the following aspects: skin age, condition, physicochemical characteristics, and environmental conditions. Polymer matrix, membrane, drug, penetration enhancers, pressure-sensitive adhesives, backing laminates, release liner, etc. are some of the fundamental parts of TDDS. Transdermal patches are used to deliver active chemicals to the circulatory system through the skin. These patches can be classified into a variety of systems, such as reservoir, matrix, and micro-reservoir systems. Consistent methodologies are used to assess the adhesion qualities, physicochemical properties, in vitro drug release studies, in vitro skin penetration studies, skin irritation studies, and stability studies once transdermal patches have been prepared. Different medications are marketed as transdermal patches, depending on the length of the therapy. Natural polymers can be used as the means of achieving predetermined rates of drug delivery. Natural polymers are basically polysaccharides so they are biocompatible and without any side effects. Gums, mucilages, resins and plant extracts are widely used natural materials for conventional and novel dosage forms. The present article highlights the available information on natural polymers and their versatile use.
Development of High Strength Concrete for Structural Application in Asia
Authors: Arjumand Abdul Qadir , Qaisari Suhrab Nikjo
Published: December 2024

Due to its improved mechanical qualities and ability to reduce the size of structural parts, high-strength concrete (H.S.C.) has attracted much interest in structural engineering. This study article examines how high-strength concrete may be used in structural applications developed in Asia. The study's main objectives are to improve the mix design, add the appropriate admixtures, and evaluate the mechanical characteristics and durability of the resultant high-strength concrete. The development of High Strength Concrete (H.S.C.) material components for structural applications in Asia has been the subject of substantial research by several scholars. The findings of this study show that high-strength concrete breakthroughs and ground-breaking architectural icons have been built in Asia. For high-strength concrete to be used successfully and securely over the long term, proper mix design, quality control, and building techniques are essential.
Current Prospective of Hypertension Disease and their Future Aspects in Different Stage of Female Health
Authors: Dixit Vishal , Anamika  , Patil Shivanand
Published: December 2024

Cardiovascular disease is the primary cause of mortality in women. Due to age and worsening of risk factors over the menopausal transition, risk of coronary heart disease events increases in postmenopausal women with diabetes. Randomized studies have conflicted regarding the beneficial impact of estrogen therapy upon intermediate cardiovascular disease markers and events. Therefore, estrogen therapy is not currently recommended for indications other than symptom management. However, for women at low risk of adverse events, estrogen therapy can be used to minimize menopausal symptoms. The risk of adverse events can be estimated using risk engines for the calculation of cardiovascular risk and breast cancer risk in conjunction with screening tools such as mammography. Use of estrogen therapy, statins, and anti-platelet agents can be guided by such calculators particularly for younger women with diabetes. Risk management remains focused upon lifestyle behaviors and achieving optimal levels of cardiovascular risk factors, including lipids, glucose, and blood pressure. Use of pharmacologic therapies to address these risk factors, particularly specific hypoglycemic agents, may provide some additional benefit for risk prevention. The minimal benefit for women with limited life expectancy and risk of complications with intensive therapy should also be considered.
Advanced Auditing: Techniques and Tools for the Modern Auditor
Authors: Milad Mohammed Muftah Ahmed
Published: December 2024

This paper examines the integration of advanced auditing techniques and tools that are transforming the audit profession in response to the increasing complexity of today’s business landscape. Focusing on data analytics, robotic process automation (RPA), blockchain, and cybersecurity solutions, this study highlights how these technologies enhance audit accuracy, efficiency, and risk management. By enabling comprehensive data analysis, real-time monitoring, and automation of repetitive tasks, advanced auditing tools significantly streamline the audit process, allowing auditors to focus on critical insights and strategic recommendations. Case studies illustrate the practical application of these tools across industries, demonstrating improved audit outcomes such as increased exception detection, faster reconciliation processes, enhanced data security, and reduced costs. However, the adoption of these technologies also presents notable challenges, including high implementation costs, data privacy concerns, integration issues, and skill gaps within audit teams. Addressing these challenges is essential for organizations aiming to fully realize the potential of modern auditing tools. The findings underscore the importance of equipping auditors with both technological skills and traditional expertise to meet the demands of a dynamic, data-intensive environment. Embracing these advancements enables organizations to foster transparency, improve accountability, and support more informed decision-making through robust and efficient audit processes.
Impact of Agricultural Fertilizers on Groundwater Quality in the Bani Walid Area - Libya
Authors: Lama Sumaya Assanousi Eshtiwi
Published: December 2024

The research presented in this review reveals that fertilizers, in addition to strengthening the agriculture sector, pollute soils and ground water. The essential elements found in fertilizers are necessary for improving soil quality and promoting healthy agricultural plant growth. Fertilizers are very important for agriculture, but they are also bad for the environment, people, and animals. They contain a variety of pollutants, such as radionuclides and heavy metals, in addition to mineral nutrients. In addition to inorganic fertilizers, organic fertilizers introduce organic contaminants, diseases, and potentially hazardous and toxic metals into soils and waterways. However, because they improve soil microbial variety, aeration, moisture content, nutrient status, and organic matter, organic fertilizers are better for soil health. Proper processing of organic fertilizers is necessary to remove unwanted metals, organic compounds, and pathogens before application to soil.
A Computational Rational Function, Its Difference-Differential Calculus, and Practical Applications
Authors: Ahmed Ahlaam Salih
Published: December 2024

Noncommutative rational functions, which extend classical rational functions to settings where variables do not commute, play a crucial role in various domains including system theory, control, optimization, and formal language theory. This paper provides a comprehensive exploration of these functions, focusing on their construction, properties, and the mathematical tools needed for their analysis. We begin by defining noncommutative rational functions and discussing their algebraic structure, highlighting the absence of a canonical form akin to coprime fraction representations in the commutative case. The realization theory for noncommutative rational functions is then developed, extending classical concepts such as state space models, controllability, observability, and minimality to the noncommutative setting. This theory provides a structured framework for representing noncommutative rational functions in a minimal state space form, which is essential for applications in system theory and control. To further analyze these functions, we introduce a difference-differential calculus specifically designed for noncommutative rational functions. This calculus generalizes traditional differentiation and finite difference operators to the noncommutative context, allowing for the detailed study of how these functions change with respect to noncommutative variables. The calculus also enables the development of higher-order operators and finite difference formulas, which are useful in various analytical and computational applications.
Leveraging Digital Science for Improved QA Methodologies
Authors: Mothey Mouna
Published: December 2024

Products and processes are using digital technology to increase manufacturing efficiency and quality. The digital revolution of the industrial industry is primarily driven by intense competition and changing customer expectations. Manufacturers may improve customer experiences, save costs, and boost speed and efficiency by using digital technologies. The application of related individual digital technologies has not been thoroughly assessed and combined to achieve adequate QA in the building sector, and as a result, it has received limited attention, despite the expanding rich and fragmented literature focusing on Industry 4.0 and Quality Assurance (QA). Therefore, the purpose of this study was to collect, assess, and synthesize the existing literature on specific digital technology uses in quality assurance in the construction sector and suggest future lines of inquiry. Deming's cycle concept and a literature review methodology were used in this study to answer the following four research questions: (1) what is the literature's current state-of-the-art? (2) Which digital tools have been used in the construction sector for quality assurance? (3) Which QA process areas have seen the use of digital technology, and what are their uses? (4) What are the shortcomings of the current study and potential avenues for further investigation into digital technology for quality assurance in the construction sector? According to the data, since 2017, there has been a growing trend of study on digital technologies for quality assurance in the construction industry. Using six distinct study methodologies published throughout 18 different publishing sources, this spans 23 nations. Based on their functionality, four types of digital technologies were identified as having been used for quality assurance in the construction industry: data gathering technologies, decision-oriented technologies, collaboration technologies, and technologies linked to security and transparency. The use of digital technologies have a high degree of application during the "do" phase, enhancing the quality management procedure throughout construction towards reaching pre-stated quality standards, according to evaluation using Deming's cycle framework.