bluuebunny/crossref_metadata_2025 huggingface dataset:
Host plant resistance to insects in pearl millet hybrids and its role in integrated pest management
Authors:   Junagadh Agricultural University, Junagadh-361 001, V. R Pateliya, , G. M Parmar , R. J Chaudhri , K. D Mungra , Asha C Detroja
Published: December 2024

Abstract
The experiment was conducted during the kharif season of 2018 at the Instructional Farm, College of Agriculture, JAU, Junagadh. Ten hybrids of pearl millet were screened against shoot fly (Atherigona approximata) and stem borer (Chilo partellus). Among these, the hybrids GHB-732 and GHB-1231 were found to be resistant to shoot fly at both stages of the crop. In contrast, the hybrids MSH-339 and MH-2024 were found to be susceptible to shoot fly. Regarding stem borer, the minimum attack was recorded in GHB-1231 at both stages of the crop. Additionally, the hybrids GHB-1231 and GHB-905 were found to be tolerant to stem borer during the vegetative stage of the crop.
Key words: shoot fly, stem borer, pearl millet and host plant resistance
Environmental Microbiology: Microbes and Their Roles in Ecosystems
Authors: Kasmawati  , Nasution Eni Sumanti
Published: December 2024

Environmental microbiology is a critical field that explores the intricate relationships between microorganisms and their environments. This study investigates the roles of microorganisms in various environmental contexts, focusing on their diversity, abundance, and ecological functions. Samples were collected from agricultural soils, freshwater bodies, industrial wastewater, and urban air, and analyzed using culture-based and molecular techniques. The results revealed significant variations in microbial abundance and diversity across the sampled environments. Agricultural soils exhibited the highest microbial abundance and diversity, with nitrogen-fixing bacteria playing a crucial role in nutrient cycling. In contrast, freshwater bodies showed moderate diversity, while industrial wastewater had the highest abundance but lower diversity, with a high prevalence of hydrocarbon-degrading microorganisms. Urban air samples had the lowest abundance but relatively high diversity. The biochemical capabilities of the isolates further emphasized the ecological roles of these microorganisms, particularly in bioremediation and soil fertility. The findings underscore the importance of preserving microbial diversity for maintaining ecosystem health and resilience. This research highlights the need for integrating microbiological insights into environmental management policies and suggests future research directions to explore microbial interactions and their potential applications in biotechnology and environmental remediation.
Nghiên cứu sự biến đổi thành phần hóa học của bột hạt mít (Artocarpus heterophyllus Lam.) lên men trong các quá trình sản xuất ở quy mô pilot
Authors: Khang Văn Chí , Lan Lê Thị Tuyết , Hằng Nguyễn Trịnh Thị Như , Nhân Nguyễn Phú Thương
Published: December 2024

Nghiên cứu này được thực hiện để đánh giá sự biến đổi thành phần hóa học (polyphenol, flavonoid, vitamin C, hoạt tính kháng oxy hóa bằng DPPH và ABTS) qua các quá trình lên men, sấy, rang và xay. Mẫu bột thành phẩm có hàm lượng polyphenol, hoạt tính kháng oxy hóa bằng phương pháp DPPH, ABTS, hàm lượng flavonoid và vitamin C lần lượt là 116,66 mg GAE/100 g, 47,54 mg AAE/100 g, 55,99 mg AAE/100 g, 5,89 mg QE/100 g, 9,78 mg/100 g. Qua các giai đoạn sản xuất, các thành phần hóa học được đánh giá mối quan hệ với nhau.
Nghiên cứu giải pháp tưới tiết kiệm nước thích ứng với thâm nhập mặn cho vườn cây sầu riêng ở xã Tam Bình, huyện Cai Lậy, tỉnh Tiền Giang
Authors: Thủy Nguyễn Hồng
Published: December 2024

Hệ thống tưới nhỏ giọt khuếch tán dưới mặt đất là một kỹ thuật tưới mới, hiệu quả và tiết kiệm, được thử nghiệm cho vườn cây sầu riêng ở xã Tam Bình, huyện Cai Lậy tỉnh Tiền Giang. Áp dụng hệ thống tưới khuếch tán dưới mặt đất với mức tưới 96 L/cây/ngày vào các khoảng thời gian cơi đọt đã thuần thục cho kết quả ẩm độ đất ở Vườn mô hình và Vườn đối chứng tương đương nhau, dao động trong khoảng > (70-80) %; mặc dù cây ở Vườn mô hình phát triển chậm hơn với số chồi non, chiều dài chồi chính, chiều dài chồi phụ đều thấp hơn so với Vườn đối chứng nhưng kích thước lớn hơn so với Vườn đối chứng; tổng số quả trên cây của Vườn mô hình (24,80) nhiều hơn so với Vườn đối chứng (16,05) và năng suất quả (98,61 kg/cây) cao hơn so với Vườn đối chứng (61,23 kg/cây). Giải pháp vét mương, đào ao trữ nước kết hợp sử dụng hệ thống tưới nhỏ giọt khuếch tán dưới mặt đất dưới dạng tích hợp vào hệ thống tưới phun mưa sẵn có tại các nông hộ có ý nghĩa đặc biệt về kinh tế - xã hội trong trường hợp nước ngọt tưới cây trở nên khan hiếm, giúp nông dân trồng sầu riêng chủ động bảo vệ vườn cây, thích ứng lâu dài với xâm nhập mặn.
Nghiên cứu công thức chế biến phô mai tươi từ sữa dê
Authors: Loan Lê Thị Kim , Đức Nguyễn Minh , Thái Phạm Văn
Published: December 2024

Mục tiêu của nghiên cứu gồm (1) khảo sát ảnh hưởng của tỷ lệ sữa dê đông tụ, tỷ lệ (20, 30, 35, 40, và 45) % và (2) khảo sát sự ảnh hưởng của tỷ lệ phối trộn bột bắp (9, 10, và 11) % và bơ (1,  2, và 3) % đến cấu trúc và giá trị cảm quan sản phẩm phô mai tươi từ sữa dê. Kết quả nghiên cứu cho thấy sử dụng 40 % sữa đông tụ trên tổng lượng sữa dê sử dụng đã tạo ra sản phẩm có cấu trúc mềm, mịn, có giá trị cảm quan tốt. Tuy nhiên, khi lượng sữa đông tụ sử dụng vượt quá 40 % làm cho sản phẩm có mùi sữa dê nồng và giảm độ chấp nhận của người tiêu dùng. Ngược lại, tỷ lệ sữa dê thấp hơn 40 %  làm cho sản phẩm có cấu trúc quá mềm. Tương tự, lượng bột bắp và bơ sử dụng tương ứng là 10 % và 2 % tạo ra sản phẩm có cấu trúc tốt và hài hòa về mùi vị của sản phẩm. Điểm cảm quan về cấu trúc, mùi, và vị tương ứng là 4,24, 4,39, và 4,21. Nghiên cứu là tiền đề để chế biến đa dạng các sản phẩm từ sữa dê và là cơ sở để có thể tối ưu, thương mại hóa sản phẩm trong tương lai.
Tối ưu hóa điều kiện lên men cider từ chanh dây (Passiflora edulis Sims) bằng mô hình phức hợp trung tâm
Authors: Diễm Nguyễn Thị Kiều , Thanh Lê Hoàng , Đan Châu Văn , Long Trần Bạch , Nhân Trần Chí
Published: December 2024

Mục tiêu của nghiên cứu là xác định điều kiện lên men chanh dây ảnh hưởng đến chất lượng sản phẩm cider. Nghiên cứu đã tiến hành khảo sát (i) tỉ lệ dịch quả/nước ở các tỷ lệ 1/1; 1/2; và 1/3 (w/v) và (ii) sử dụng mô hình CCD (Central Composite Design) với các yếu tố được khảo sát bao gồm độ Brix (17-19) °Bx; pH của dịch lên men (3,0-5,0); tỉ lệ nấm men Saccharomyces cerevisiae BV818 (0,03-0,05) % (w/v) và thời gian lên men (3-5) ngày. Kết quả nghiên cứu đã xác định được tỉ lệ pha loãng dịch quả/nước là 1/2 (w/v), bên cạnh đó giá trị tối ưu để thực hiện quá trình lên men cider chanh dây với độ Brix của dịch lên men là 18,45; pH = 4,65; tỉ lệ nấm men là 0,038 % (w/v); thời gian là 3,36 (ngày),  khi đó sản phẩm cider chanh dây thu được chất lượng tốt, với hàm lượng ethanol đạt được 4,72 % (v/v), các giá trị màu sắc (L*, a*, b*), chỉ số hóa nâu BI, độ lệch màu (∆E) lần lượt là 66,96; 0,73; 27,34; 50,46 và 2,87 và đạt giá trị cảm quan tốt với số điểm là 18,74.
Xây dựng công thức gel bôi da chứa cao chiết nước lá Trầu không (Piper betle L. Piperaceae)
Authors: Thuỷ Phan Thị Thanh , Hoàng Phan Minh , Oanh Lê Bảo
Published: December 2024

Do chứa nhiều hoạt chất kháng khuẩn, kháng nấm và kháng viêm, Trầu không được sử dụng nhiều trong y học cổ truyền. Công thức bào chế gel đã được xây dựng với thành phần cao chiết nước lá Trầu không có hoạt tính kháng khuẩn với tá dược tạo gel Na CMC. Hoạt tính kháng khuẩn được đánh giá bằng phương pháp đĩa giấy khuếch tán theo quy định của CLSI. Công thức gel đạt chỉ tiêu chất lượng sản phẩm về cảm quan với thể chất mềm mịn, màu vàng nâu, trong suốt, mùi đặc trưng của Trầu, độ pH = (6,02 ± 0,03). Gel có độ đồng nhất không có hiện tượng vón cục, không có kết tủa không tan, độ dàn mỏng 38,50 cm2, gel có độ ổn định qua đánh giá theo chu kỳ nóng lạnh. Hoạt tính kháng vi sinh vật cho thấy chế phẩm kháng được 5 chủng vi khuẩn Escherichia coli, Methicillin - resistant Staphylococcus aureus, Methicillin - susceptible Staphylococcus aureus, Propionibacterium acnes, Pseudomonas aeruginosa, Streptococcus faecalis, Streptococcus pyogenes.
Cooperation in the Implementation of International Laws on Maritime Crime Prevention and Control by the Coast Guard of Southeast Asian Countries
Authors: Khanh Nguyen Minh
Published: December 2024

Recently, maritime crime in Southeast Asia has been complicated. Piracy and smuggling are prominent problems in the East Sea. From 2013 to 2022, Southeast Asia experienced 907 incidents of piracy and armed robbery at sea against ships. These difficulties and challenges require the prevention and combat of maritime crime to have an appropriate cooperation mode between maritime law enforcement forces of Southeast Asian countries. From the requirements of practice, the article analyzes the issue of cooperation in implementing international law on marine crime prevention by the Coast Guard forces of Southeast Asian countries based on building a legal framework and proposing solutions.
The Role of Classroom Interactions in Enhancing Speaking Skills in English
Authors: Mohanapriya  , Jaisre V.
Published: December 2024

The English language, with its status as a global language, has the power to connect nations while retaining the value of the individual institutions and organizations of the nations. Competency in the language with effective transactional abilities can be the only best way to ensure their development and sustenance. The world-renowned psychologists and language experts strongly point out that language learning is a social process.  With classrooms being prominent workshops for language learning across the globe, they emphasize that these learning rooms should employ social learning approaches and strategies involving collaborative methods. Only such collaborative arenas can certainly promote effective learning of language skills (LSRW), especially speaking.
Efficient Data Sharding Techniques for High-Scalability Applications
Authors: Jayaraman Srinivasan , Borada Daksha
Published: December 2024

In the era of big data and high-demand applications, ensuring scalability while maintaining system efficiency is a critical challenge. Data sharding, the process of partitioning data into smaller, manageable subsets, has emerged as a foundational technique to address this challenge. This paper explores efficient data sharding techniques tailored for high-scalability applications, emphasizing their impact on system performance, resource utilization, and fault tolerance.
Traditional sharding strategies often face limitations, such as uneven data distribution and increased latency, particularly under dynamic workloads. This study investigates advanced approaches, including consistent hashing, range-based sharding, and adaptive load-balancing methods, to mitigate these issues. By leveraging real-time monitoring and predictive analytics, modern sharding algorithms dynamically adjust shard configurations, ensuring even data distribution and minimizing hotspots. Furthermore, the integration of machine learning models enables intelligent decision-making to anticipate workload shifts, enhancing system responsiveness.
A key focus is the application of these techniques in distributed databases, cloud computing environments, and real-time analytics platforms. The study highlights case studies from industry-leading organizations to illustrate the practical implications of efficient sharding. Metrics such as query response time, throughput, and system downtime are analyzed to quantify the benefits of these techniques.
The findings demonstrate that adopting advanced sharding techniques not only improves system scalability but also reduces operational costs and enhances user experience. This paper concludes with recommendations for future research, focusing on hybrid sharding strategies and the integration of emerging technologies like edge computing and federated learning.
A Review on Phytochemical and Ethano Pharmacology of Mallotus Philippnensis
Authors: Tripathi Vaishnavi , Kumar Roshan , Patil Shivanand M.
Published: December 2024

Mallotus philippinensis (Lam.) M Arg is a threatened plant species in the central ecoregion. It is a member of the Euphorbiaceae family. Mallotus philippinensis (Lam.) Muell. Arg. (Family: Euphorbiaceae) is a significant perennial plant utilised in traditional medicine. It is primarily prevalent in the tropical and subtropical climates globally. Despite its herbal origin, it is classified within one of the eight Sadharana rasa categories [Glands and hairs of Mallotus philippinensis (Kampillaka), Arsenic (Somala), Ammonium Chloride (Navasagara), Cowri (Kaparda), Amber (Agnijaara), Red Oxide of Mercury (Girisindoora), Cinnabar (Hingula), Litharge (Muddaarashringa)] in Rasa-shastra, the Ayurvedic study of minerals and metals. M. philippinensis is included within Virecana ghana, a group of medicinal plants or items utilised in purgation therapy in Ayurvedic medicine. Primarily, roots, fruits (including fruit powder), and leaves are utilised for therapeutic applications. The leaves possess a bitter flavour and exhibit a cooling, appetising quality. The glands and hairs of the fruit and leaves are advised for cutaneous issues. To date, research investigations have been conducted to validate and examine the pharmacological properties of M. philippinensis. This document aims to summarise the distribution, morphology, Ayurvedic and traditional applications, and scientific research about M. philippinensis. Researchers have empirically demonstrated the antimicrobial, hepatoprotective, anti-leukemic, anti-HIV, anti-inflammatory, anti-filarial, analgesic, hypnotic, antiproliferative, antifertility, purgative, anthelmintic, and antiallergic activities of various parts of M. philippinensis
Non-Linear λ-Jordan Triple Derivation on Prime Algebras
Authors: Rahnaward Ahmad Ramin , Kaheshzad Shuja , Rahimi Sebghatullah
Published: December 2024

Let A be a prime ∗−algebra and Φ a λ−Jordan triple deriva- tion on A, that is, for every A, B, C ∈ A, Φ(A ⋄ B) = Φ(A) ⋄ B + A ⋄ Φ(B) wher A ⋄λ B = AB∗ + λBA such that a real scalar |λ| ̸= 0, 1, and Φ is addi- tive. moreover, if Φ(I) and Φ(il) are selfadjiont then Φ is a ∗−derivation
Investigating the Relationship between Attitudes Towards Menopause and Sexual Function in Menopausal Women in War-Torn Afghanistan
Authors: Hakim (Hekmati) Pohoranwal Doctor Abdul
Published: December 2024

Introduction: Menopause is one of the natural periods of women's life that due to the completion of a woman's egg, ovulation will no longer occur and as a result, menstruation will stop forever and they will no longer be able to have children Menopause usually begins between the ages of 49 and 52. But it can happen at any age. At this time, the ovaries secrete less female hormones, especially estrogen, and cause menopausal symptoms. Menstruation first becomes irregular and then stops altogether. Women who do not menstruate for a year are considered menopausal 35% of postmenopausal women are reported to suffer from decreased libido. Also in the United Kingdom, Ireland, France and Germany, 47%, 54%, 42% and 24% of postmenopausal women have reported decreased sexual activity. According to our study, 550% of postmenopausal women in Afghanistan suffer from decreased sexual desire.
A long-running Melbourne-based population-based study reported a significant decrease in libido, arousal, orgasm, and sexual activity, and a significant increase in vaginal dryness / painful intercourse throughout menopause. The health values and beliefs of a society affect the perception of sexual desire during menopause and the will of individuals as well as the need for their treatment.
After menopause, sexual desire decreases somewhat. On the other hand, due to the reduction of female secretions, vaginal dryness occurs and sometimes causes pain and discomfort during intercourse, and this issue can affect marital relations.
Research findings; A total of 200 postmenopausal women aged 45-58 years were studied in this study. The mean age of these women was 7.93 ± 57.18 years. The highest age distribution was in the range of 51 to 55 years (53.7%). The mean duration of menopause was 7.00 ± 7.00 years. 176 (89%) were housewives and 167 (83.5%) had less than a diploma.
Conclusion: Although no relationship was observed between sexual function and attitudes toward menopause, a large number of postmenopausal women still had a negative attitude towards this phenomenon, which was also impaired in terms of sexual function.
NEP-2020 Awareness among Teachers: A Study of Knowledge, Perceptions and Challenges
Authors: Heena  , Roshan Kumar , Chetan Singh , Vikram Singh
Published: December 2024

New Education Policy 2020 has been announced by honorable Prime Minister of India, Shri Narendra Modi Ji to make India a knowledgeable vibrant country which is a current need of 21st century. The policy aims to promote the role of teachers in Indian society and culture and to develop fundamental skills in students as well as social, ethical, emotional and critical thinking skills in all students. However, there is no sufficient implementation of NEP -2020 yet. This study was conducted to explore the knowledge of teachers about NEP-2020. It was a questionnaire based study consisting of 10 questions. All data were analyzed in MS-Excel, SPSS. A significant proportion of teachers (68%) have foundational knowledge of current educational policy, indicating a basic knowledge that is essential for effective implementation. However, 52% of teachers were not aware about the role of NEP in higher education system, national education schemes. Only 20% of educators express confidence in using these frameworks. Most of the respondents deny to be benefited from National Education Schemes due to lack of awareness, highlighting the critical need for targeted professional development and support. Key gaps in technology integration and policy understanding were identified, highlighting areas where teachers need additional training and resources. Seminars should be organized regularly to keep teachers informed about national programmes and their implementation.
Synergistic Fusion: Enhancing Herbal Potency with Phytosome Technology
Authors: Jamloki Deepshikha , Anamika  , Negi Vasudha , Khan Subhani
Published: December 2024

This review explores the innovative integration of Phytosome technology to augment the effectiveness of herbal compounds. Phytosomes are specialized delivery systems that enhance the bioavailability and absorption of herbal extracts by forming molecular complexes with phospholipids. The review highlights the pivotal role of Phytosomes in improving the solubility and permeability of herbal constituents, thereby facilitating their absorption into the bloodstream. By encapsulating herbal molecules within phospholipid layers, Phytosomes shield them from degradation and metabolic processes, prolonging their presence in the body and enhancing their pharmacological activity. Furthermore, the review underscores the versatility of phytosome technology in enhancing the efficacy of various herbal extracts ranging from traditional remedies to modern herbal supplements. Through case studies and empirical evidence, the paper illustrates how the synergistic fusion of phytosomes with herbal compounds leads to superior therapeutic outcomes compared to conventional formulations.
Moreover, the review discusses the potential applications of synergistic fusion in diverse fields such as pharmaceuticals, nutraceuticals, and cosmeceuticals. It emphasizes the significance of this approach in addressing challenges related to poor bioavilability and inconsistent efficacy encountered with conventional herbal preparations. A comprehensive overview of the synergistic potential of combining phytosome technology with herbal extracts. It elucidates the mechanisms underlying enhanced bioavailability and efficacy, paving the way for the development of novel herbal formulations with optimized therapeutic benefits.
Water Contamination by Heavy Metals and their Toxic Effect
Authors: Lama Sumaya Assanousi Eshtiwi
Published: December 2024

Water pollution by heavy metals is a serious problem affecting humans and animals. Heavy metal ions can cause health problems such as liver and kidney damage, skin diseases, mental retardation and cancer. To avoid the harmful effects of these toxic metals, it is important to find an environmentally friendly and cost-effective way to remove heavy metal ion pollution from diseases. Biosorption is an environmentally friendly process based on plant biomass.Algae and agricultural waste and microorganisms. This method is environmentally friendly and does not require much investment. This review provides basic knowledge on heavy metal pollution research and environmental removal.
The Effect of Heating Irrigation Water on the Growth and Development of Cucumber Plants Grown in the Winter Season
Authors: Aml Adrees Abdulsalam
Published: December 2024

This study looks into what happens to cucumber plants when they are watered with warm water in the winter. For the study, cucumber plants were split into two groups: one got water that was warm, and the other didn't. The plants in the hot watering group grew faster than the plants in the control group. They were taller, had bigger leaves, flowers earlier, and had more fruits per plant. The group that used hot water also had a higher total yield weight per plant. The findings show that heating irrigation water makes it just right for the roots. This facilitates nutrient absorption in plants, alleviates stress, and accelerates development, particularly under cold conditions. This information is beneficial for cultivators in temperate regions; nevertheless, more research is required to ascertain its impact on soil health, energy use, and potential integration with other crops in the future.
Role of Marine Algal Compounds in Early Brain Development
Authors: Padmanabhan Srihari , Tharan Ojaswin
Published: December 2024

Bioactive substances are related to many benefits regarding health, which include antioxidants, anti-inflammatory, and antimicrobial properties. It is revealed through this research that supplementation of DHA enhances majorly the cognitive development. In studies of animals, the rats are exposed to DHA at the time of lactation, and gestation. On DHA, the major focus presence is noticed in this regard, and on the other side, smaller subsets examine other bioactive compound effects that are found in marine algae. It includes antioxidants and EPA. In the form of primary producers, to the global production of oxygen, the contribution made by them, and also serve in the form of a marine food web foundational components. Despite major findings, in the design of this research the variability, and outcomes emphasize the standard protocols of research requirements. It is reported through many types of research that, the markers are reduced through these compounds of oxidative damage in human trials, and animal models.
Machine Learning in Predictive Quality Assurance
Authors: Bussa Santhosh
Published: December 2024

Predictive quality assurance (PQA) uses machine learning (ML) for enhancing the quality assurance process from traditional reactive systems to proactive predictive systems: predicting and preventing defects toward quality across the board. This paper is an exploration of the ML techniques of PQA with a focus on supervised, unsupervised, and reinforcement models, along with their interaction with real-time quality control systems. Techniques of data preprocessing, dealing with imbalanced datasets, and validation of the model in detail are discussed. Major applications in manufacturing, automotive, and electronic areas are described, together with ethical concerns and challenges. Future directions focus on self-governing quality assurance systems that are assisted by high AI algorithms.
Globalization and Cultural Resilience: Transformations and Challenges in India
Authors: Tirkey C. Anupa
Published: December 2024

Globalization has emerged as a defining phenomenon of the 21st century, influencing economies, societies, and cultures worldwide. India, with its rich cultural heritage and diverse societal fabric, has experienced profound transformations under the influence of globalization. This paper explores the cultural changes and challenges that have emerged in India during this era. It examines how globalization has affected traditional values, societal norms, and cultural practices, and analyzes the resulting tensions between modernity and tradition. The study also discusses how India navigates these challenges, leveraging its cultural resilience and adaptability to foster a hybrid identity in a globalized world.
Implementing Scalable Data Architecture for Financial Institutions
Authors: Bagam Naveen
Published: December 2024

The finance sector generates vast volumes of complex data, which require scalable and robust architectures for efficient storage, processing, and analytics. Scalable data architecture is the basis that will make financial institutions competitive, compliant, and innovative in the modern fast-developing digital landscape. This paper addresses the principles, technologies, and methodologies necessary to implement scalable data architecture, keeping in mind high availability, security, and performance optimization as challenges. This paper is geared with real-world examples, technical frameworks, and performance metrics to provide actionable insights on scalability: both for legacy systems and new implementations.
AI-Powered Cyber-Physical Systems: A New Frontier in Securing Healthcare from Cyber Attacks
Authors: Ahmedabad Akhil
Published: December 2024

There is a rising need for adequate cybersecurity safeguards to protect patient data, medical equipment, and crucial infrastructure as healthcare systems become more digitized. Effective security solutions are required for these intricate settings because of the range of medical equipment used within this system, i.e., Mobile Devices (MD) and Body Sensor Nodes (BSN). Healthcare facilities may utilize artificial intelligence (AI) techniques and cyber-physical systems (CPS) to identify and thwart cyberattacks. A novel machine learning threat detection framework for safe healthcare data transfer has been suggested in this research. Smart Healthcare Cyber-Physical Systems (SHCPS) can distribute the gathered data to cloud storage. Cyberattack patterns may be predicted using AI models, and this information is processed to aid healthcare professionals in making decisions. The proposed system begins with a medical record and preprocesses it using a normalization method. The novel jellyfish-optimized weighted dropped binary long short-term memory (JFO-WDB-LSTM) technique ultimately distinguishes between valid and erroneous healthcare data. Compared to other models, our suggested model achieves attack prediction ratios of 98%, detection accuracy ratios of 88%, delay ratios of 50%, and communication costs of 67%, according to experimental results.
Urban Expansion, Resource Management, and Climate Adaptation: Rethinking Sustainable Growth in India
Authors: Sharma Ashok
Published: December 2024

India is undergoing significant socio-economic transformations driven by demographic shifts, rapid urbanization, and industrialization, all of which present unique challenges and opportunities for sustainable development. This paper explores the demographic transition occurring in India, focusing on the implications of population growth for urban centers, particularly Tier-II cities, and the sustainability of their development. By evaluating the impacts of industrialization and urban sprawl, this study assesses the environmental strains caused by unchecked growth and the role that innovative, smart solutions can play in addressing climate change and resource degradation.
The paper also examines the Nagpur Desert ecosystem as a case study to highlight the specific challenges of managing land, water, and human resources in fragile environments. It argues for a holistic, ecological approach to development that integrates sustainable resource management with social and economic growth. Through these lenses, the paper provides insights into how India can balance the pressures of modernization with the imperative of environmental stewardship.
Machine Learning for Identifying Copy Move Forgery in Digital Video Forensics
Authors: Gupta Ravindra
Published: December 2024

One of the most important tasks in digital forensics to find instances of modified content is the detection of copy-move forgery (CMF) in videos. Copy-move forgery includes taking a section of a video, pasting it into another movie, and then hiding or changing that section. As a consequence of advancements in network technology, low-cost multimedia devices, intelligent image or video editing software, and broad adoption of digital multimedia coding standards, the number of applications for digital multimedia has significantly risen in recent years. Establishing if a video is legitimate or not is one of the trickiest areas of video forensics. This may be a crucial responsibility when recordings are used as primary evidence to influence decisions, such as in a court of law. Therefore, we provide a novel machine learning-based copy-move forgery detection technique in this research. Weiner filter is first used to gather and pre- process video data. The pre-processed video data are then segmented using a threshold-based technique to image segmentation. Finally, we suggest a novel integrated stochastic random neighbouring approach (ISRNA) for categorizing videos. Our suggested technique is compared and contrasted with traditional ways to demonstrate the efficacy of the suggested method. Results from experiments show that our suggested strategy performs better than traditional ways.
Comparative Analysis of IT Management Tools in Healthcare
Authors: Annam Sri Nikhil
Published: December 2024

Healthcare systems today rely heavily on IT management tools for automation of patient care, increased operational efficiency, and simplification of the decision-making processes. This paper focuses closely on some of the major IT tools such as Electronic Health Records, Health Information Exchanges, CRM systems, ERP systems, and IT security frameworks. This research identifies some of the key trends, challenges, and opportunities surrounding healthcare IT through a feature and scalability analysis, checking for standard compliance, and assessing the general effects associated with such tools. The conclusion for the study brings actionable recommendations about ways to enhance IT tool adoption and optimize integration.
Machine Learning Applications in Life Science Image Analysis: Case Studies and Future Directions
Authors: Bhatt Jay , Bhat Smita Raghavendra , Mane Hrishikesh Rajesh , Pandey Priya , Singh S P , Goel Punit
Published: December 2024

Machine learning (ML) has revolutionized image analysis in life sciences, enabling breakthroughs in fields such as cell biology, pathology, and drug discovery. By automating complex tasks, ML algorithms have significantly enhanced accuracy, efficiency, and scalability in interpreting biological images. This abstract reviews key applications of ML in life science image analysis, highlights recent case studies, and explores future directions in the field.
In medical imaging, convolutional neural networks (CNNs) have been pivotal in detecting diseases such as cancer and neurological disorders from MRI, CT, and histopathological images. ML-powered image segmentation has improved cellular and tissue-level analysis, enabling researchers to monitor disease progression and evaluate therapeutic responses. For instance, supervised learning models have been instrumental in high-throughput screening for drug discovery, facilitating the identification of potential candidates from large datasets.
Emerging trends such as self-supervised learning and generative models promise to overcome the challenges of limited labeled data and domain adaptation. Advances in explainable AI are addressing concerns regarding model interpretability and trustworthiness, critical for clinical adoption. Moreover, the integration of ML with omics data and bioinformatics is creating novel opportunities for personalized medicine.
Future research should focus on building robust, generalizable models capable of addressing the variability inherent in biological datasets. Ethical considerations, including data privacy and bias mitigation, must also guide the development of these technologies. The synergy between ML and life sciences holds immense potential to transform healthcare, paving the way for more precise diagnostics and innovative therapies.
Integrating Digital Storytelling through Online Learning to Reduce Students’ Speaking Anxiety
Authors: Nadianti Lintang Indira , Muslim Ahmad Bukhori , Gandana Isti Siti Saleha
Published: December 2024

Online learning has been widely used in delivering materials to students. Likewise, many private institutions in Indonesia also implement online learning. They utilize online learning platforms such as Zoom Meeting, Google Meet, and Google Classroom to support the process of teaching and learning. However, during online speaking classes, students’ anxiety poses as one of the biggest problems that obstruct students in improving their skills. Digital storytelling can be considered as one of the media to improve students’ speaking skills. This research aims to investigate the implementation of digital storytelling through online learning to reduce students’ speaking anxiety in an Indonesian private institution and to find out students’ perspectives on the benefits and challenges in regard to its implementation. A single qualitative case study was carried out involving one student in a private institution. The data were collected through three main instruments: classroom observation, interview with the student, and a questionnaire. The collected data from the questionnaire were analyzed based on six sources of anxiety proposed by Saglamel and Kayaoglu (2013) and the questionnaire was adopted from Horwitz et al. (1986) to measure student’s speaking anxiety. From the results of observation, interview, and questionnaire, it can be concluded that implementing Digital storytelling in an online learning can reduce the student’s level of speaking anxiety.
DIURNAL EFFECT OF PM10 AND NOX ON CHRONIC OBSTRUCTIVE PULMONARY DISEASE AND ASTHMA IN ABUJA NIGERIA
Authors:   University of Sunderland, Public health department, Faculty of health and wellbeing, Ihedike Christabel , Mdegela Mselenge ,   University of Greenwich, Public health department, Faculty of health and education, MooneY John D ,   Aberdeen University Institute of Applied Health Science Aberdeen United Kingdom, Ana Godson R.E.E. ,   University of Ibadan Nigeria, Environmental Health Sciences department, Faculty of Public health, Ling Jonathan ,   Independent Researcher Darlington England
Published: December 2024

Introduction: Air pollution is emerging as a crucial risk factor for respiratory health problems like Chronic Obstructive Pulmonary Disease (COPD) and asthma in developing countries, including Nigeria where air pollutant concentrations are elevated. In these countries, urban and peri-urban areas like Abuja bear the bulk of the problem. Nevertheless, data on the health effects of air pollution and pollutants are limited. This study aimed to critically examine the health effects of particulate matter less than 10 μg/m3 (PM10), and nitrogen dioxide (NO2) in Abuja FTC, Nigeria.

Methodology: The diurnal effect of PM10, and NO2 concentrations was used to examine COPD and asthma patients due to exposure to these pollutants from November 2015 to December 2018. PM10 and NO2  air concentrations were monitored by the Nigerian Metrological Agency throughout the study. The 402 participants recruited were part of a major study which examined the effect of photochemical smog on COPD and asthma patients. For this study, participants completed the Medical Research Council (MRC) dyspnoea questionnaire; lung function tests was performed to determine the airway obstructive level in association with the pollutant at varying concentrations.

Results: The 24-hour mean of PM10 was 296.7µg/m3, and the NO2 1-hour mean was 253.1µg/m3, which are both higher than the WHO set thresholds. The diurnal variation of PM10 varied from an average of 149.5µg/m3 in the morning to 345.3µg/m3 during the afternoon (dry season) and 108.5µg/m3 to 250.4µg/m3 (wet season). The PM10 increase was significantly associated with decreased forced expiration volume (FEV)1 and forced vital capacity (FVC) in the participants (-786, P=.000); with a moderate significant association between NOx and FVC (-.582, P= .018). A significant association was also observed between PM10 with Dyspnoea (-.786, P=.000). When we stratified for gender, it was observed that women had a higher significance P=.001 and for every 10 μg/m3 increase in NO2 and PM10 concentration above the WHO recommended 24hr thresholds, the relative risk for developing respiratory symptoms was 1.09 (95% CI: 1.07 to 1.05) and 1.06 (95% CI: 1.01 to 1.10), respectively.

Conclusion/Recommendation: There is high level of pollutant concentration with strong association with COPD and asthma symptoms in FCT Abuja. Immediate policies and actions are needed to reduce pollutants from various sources including from transport and energy manufacturing facilities.
Evaluasi Program Kampung Keluarga Berkualitas di Kelurahan Juhut Kecamatan Karang Tanjung Kabupaten Pandeglang
Authors: Az-Zahra Zulfa
Published: December 2024

Pemerintah Indonesia telah meluncurkan Program Keluarga Berencana (KB) sebagai langkah strategis untuk mengatasi berbagai tantangan kependudukan. Program ini dirancang dengan tujuan utama untuk menekan laju pertumbuhan penduduk, sertaeningkatkan kualitas hidup ibu dan anak. Pada pelaksanaannya, terdapat beberapa masalah terkait evaluasi Program Kampung Keluarga Berkualitas di Kampung Canggoang, Kecamatan Juhut, Kabupaten Pandeglang, yang mengakibatkan capaian program belum optimal seperti rendahnya tingkat pendidikan, kurangnya dalam pelayanan kesehatan, termasuk dalam keluarga berencana dan kesehatan reproduksi, dan kurangnya partisipasi masyarakat dalam kegiatan Kampung KB. Penelitian ini bertujuan untuk mengetahui Evaluasi Program Kampung Keluarga Berkualitas Di Kampung Canggoang Kecamatan Karang Tanjung Kabupaten Pandeglang. Teori yang digunakan yaitu teori William N Dunn. Penelitian ini menggunakan metode kualitatif deskriptif. Teknik pengumpulan data yang digunakan adalah wawancara, observasi dan dokumentasi. Hasil penelitian menunjukkan bahwa pelaksanaan evaluasi yang telah dilakukan dalam Program Kampung Keluarga Berkualitas di Kampung Canggoang, Kelurahan Juhut, Kecamatan Karang Tanjung, Kabupaten Pandeglang, dapat disimpulkan bahwa program ini secara umum berhasil mencapai tujuan yang telah ditetapkan. Program ini telah memberikan dampak positif dalam berbagai aspek, seperti peningkatan kualitas hidup masyarakat, peningkatan kesadaran kesehatan, dan pengembangan sumber daya manusia.
STRATEGI PENGEMBANGAN USAHA DALAM MEMENUHI KEBUTUHAN KONSUMEN MENGGUNAKAN ANALISIS SWOT PADA AIR GALON MINERAL OSMO PLUS
Authors: Ade Hadiono  , Firzah Putri
Published: December 2024

Air minum merupakan kebutuhan pokok untuk dikonsumsi oleh semua makhluk hidup, perkembangan teknologi pengolahan air biasa menjadi air siap minum membuat banyak pihak terdorong untuk mengekspoitasi air dan dikemas menjadi air minum dalam kemasan baik ukuran kesil sampai dalam ukuran galon 19 liter.
Penelitian ini bertujuan untuk mengetahui strategi pengembangan usaha pada air galon Osmo Plus. Metode penelitian menggunakan pendekatan deskriptif kuantitatif. Populasi penelitian ini adalah konsumen tetap air galon Osmo Plus, sampel yang di gunakan sebanyak 80 responden. Sedangkan teknik yang digunakan random sampling. Teknik pengumpulan data dengan metode pengamatan, koesioner, wawancara, studi pustaka dan dokumentasi.
Teknik analisis data yang digunakan yaitu analisis SWOT, dimana data dikumpulkan berdasarkan kesimpulan yang di ambil dari matrik SWOT. Dari perhitungan matriks SWOT terdapat nilai pada strategi SO (0.36,0.38), strategi WO (0.33,0.38), Strategi ST (0.36,0,27) dan Strategi WT (0.33,0,27).
 
Kunci : Strategi pengembangan, Kebutuhan konsumen, Analisis SWOT.
A Structural Equation Modeling of Aggression, Distress, and Their Impact on Academic Success
Authors:   Psychology Scientific Research Institute, Rustamov Ph.D. Elnur , Nuriyeva Ulkar Zalova ,   Psychology Scientific Research Institute, Quliyeva Esmira ,   Psychology Scientific Research Institute, Abbasova Sevil ,   Psychology Scientific Research Institute
Published: December 2024

Analyzing the relationship between adolescents' aggression, psychological distress, and academic achievement is vital for identifying the key factors that affect educational outcomes.

The aim of this study was to investigate the potential mediating role of aggression in the relationship between psychological distress and academic success among adolescents in Azerbaijan (N = 271; M = 14.26, SD = 1.7). Data were collected using the Buss Perry Aggression Questionnaire-Short form (BPAQ-SF), and The Children and Adolescents Psychological Distress Scale (CAPDS-10). The obtained results demonstrated that higher levels of aggression were inversely related to academic success, while distress also showed a negative correlation with academic success. Using structural equation modeling (SEM), it was found that aggression fully mediated the connection between psychological distress and academic success. In conclusion, the study's findings enrich the current body of literature and offer valuable insights for school psychologists, educators, and parents, enabling them to implement targeted interventions in this domain.
Eu quero falar! As crianças encenam ser youtubers
Authors: Queiroz Marta Maria Azevedo
Published: December 2024

São 67,4% bilhões de pessoas conectados à internet (ONU, 2023). Essa proporção era de 4.021 bilhões, com destaque à comunicação móvel (Digital In, 2018). Um em cada três usuários da internet é criança (UNICEF, 2017). TIC Kids Online Brasil (2023) constatou que 24% dos entrevistados iniciaram a conexão à internet na primeira infância – essa proporção era de 11% em 2015. Nesse contexto, o presente artigo tem com o objetivo de compreender as apropriações midiáticas (redes sociais digitais) das crianças e as produções de subjetividades. Utilizou-se a produção de desenho e texto escrito, com perguntas: O que você mais gosta de fazer? O que quer ser? As crianças, em sua maioria, enfatizaram gostar do YouTube e o desejo de ser youtuber. Questionou-se, então:  Vocês conhecem o YouTube? Se você tivesse um canal no YouTube, o que gostaria de apresentar ao mundo? Expressaram acessar diversos canais e o desejo de “falar para o mundo”. O YouTube é, para elas, espaço de fala e visibilização, de brincadeiras – um brinquedo, de aprendizagens. Uma realidade que afeta os modos/estilos de ser criança e viver as infâncias.
Sistematização dos fatores de influência no projeto de semeadora-adubadora para agricultura digital
Authors: Santos Bruna Karine dos , Romano Leonardo Nabaes , Santos Diego Michael Cornelius dos
Published: December 2024

O trabalho teve como objetivo sistematizar os Fatores de Influência no Projeto (FIP) de semeadora-adubadora relacionados ao escopo do projeto. Com o avanço das tecnologias e a crescente demanda por precisão e integração digital, os processos de projeto de máquinas agrícolas precisam ser organizados. Os FIP, definidos na fase inicial do projeto, servem como diretrizes para as decisões técnicas ao longo do ciclo de desenvolvimento. A pesquisa adotou uma abordagem exploratória, com revisão bibliográfica e inspeções de campo, para mapear e classificar os FIP aplicáveis ao escopo do projeto. Os resultados sistematizam esses fatores em classes e propriedades, garantindo a rastreabilidade das informações e permitindo ajustes durante o desenvolvimento do produto. A sistematização dos FIP contribui para um desenvolvimento mais eficiente e inovador de máquinas agrícolas, promovendo maior produtividade e sustentabilidade no contexto da agricultura moderna.
Hipoadrenocorticismo em um canino sem raça definida: relato de caso
Authors: Vial Luísa Picoli , Polessello Amanda Fernandes , Potrich Ana Flávia Gaboardi , Rossi Ana Luiza Vazquez , Pieri Cintia Benetti , Vanassi Letícia Corrêa , Fiorese Letícia , Minhos Tamires Brandão
Published: December 2024

O hipoadrenocorticismo ou síndrome de Addison, é caracterizado pela produção insuficiente dos hormônios das adrenais. Isso resulta na diminuição do teor de cortisol e de aldosterona. Cães com síndrome de Addison apresentam variados sintomas, que vão desde diarreia e vômito até tremores e letargia. A deficiência do cortisol pode causar sinais clínicos crônicos que são manifestados principalmente pelo trato gastrointestinal.  Já a ausência de aldosterona pode causar uma elevação dos níveis de potássio e pode fazer com que não ocorra reabsorção de sódio. O tratamento indicado para animais com hipoadrenocorticismo é reposição de glicocorticoide e dos mineralocorticoides.
Growth endangered tree species in forest recomposition areas
Authors: Figueiredo Junior Orlando de , Souza Onassis de Pablo Santos de , Nascimento Junior José Maria Martins do , Bahiana Bruno Gonçalves , Rocha Tainá Teixeira , Herrera Raírys Cravo
Published: December 2024

In Brazil, there is a large gap in studies related to protected native species, discouraging their use in plantations, and consequently, further favoring the reduction of their conservation. In this sense, this research aimed to analyze the biotic and abiotic factors that influence the initial establishment, in enrichment planting, of five endangered forest species. The planting areas are located in extensions covered by secondary forest in the municipality of Vitória do Xingu/PA. The total perimeter outlined for enrichment with species corresponded to 147.26 ha. To evaluate the seedlings, 147 sample units of 800 m² were installed. The species survival inventory and height measurement were carried out 30 and 180 days after planting. The phytosanitary conditions of the seedlings, fauna vestige, soil fertility, herbaceous layer, and neighboring trees were evaluated. Among the main results obtained, the following stand out: (i) Cedrela odorata was found to have the highest mortality rate; (ii) Apuleia leiocarpa was the species that showed the highest absolute growth rate with a significant difference concerning Bertholletia excelsa; (iii) higher mortality was recorded at 30 days than in the second evaluation; (iv) the presence of animals inside the plots influenced seedling mortality; (v) the variability in the number of soil nutrients among the plots was not sufficient to generate different behavior among species; and (vi) the herbaceous layer and the surrounding trees did not promote any interference in the growth of the plants. It is recommended to use the species evaluated in this study in enrichment plantings.
Compartimentação geossistêmica do campo de dunas ativas e inativas da Planície Costeira de Estância – SE
Authors: Prata Marçal Lukas Martins , Alves Neise Mare de Souza
Published: December 2024

Este estudo propõe uma compartimentação geossistêmica do Campo Dunar da planície costeira de Estância, usando o modelo teórico de Bertrand (2004). Foram identificadas três unidades: Geofácies Dunas Ativas Primárias, Dunas Ativas Secundárias e Dunas Inativas Pleistocênicas. A classificação baseou-se em Sloss, Sheperd e Hesp (2012) e Giannini et al. (2005). A metodologia incluiu trabalhos de campo, análise de imagens de satélite e fotografias aéreas, além de pesquisa bibliográfica e documental. As Dunas Ativas Primárias são influenciadas por processos oceânicos. As Dunas Ativas Secundárias evoluíram das primárias, apresentando maior altimetria e largura. As Dunas Inativas Pleistocênicas, afastadas da costa, têm vegetação predominante de restinga arbustiva/arbórea. Embora interdependentes, essas unidades possuem características específicas, especialmente na cobertura vegetal. O uso e ocupação das terras causam problemas ambientais, destacando a necessidade de estudos aprofundados sobre o ambiente.