bluuebunny/crossref_metadata_2025 huggingface dataset:
ANALISIS ALTERASI DAN MINERALISASI MENGGUNAKAN METODE XRD, PETROGRAFI DAN MINERAGRAFI DAERAH PROSPEK CIHAUR, SIMPENAN, KABUPATEN SUKABUMI
Authors: Finlandini Nadya , Joko Suprapto Sabtanto , M I Shiddiq Asep , Novalia Lia , Syafrudin Anshar Muhammad
Published: November 2024

Daerah penelitian terletak di Cihaur, Sukabumi, Jawa Barat, ditempati oleh Formasi Jampang, berada pada Busur Sunda-Banda. Aktivitas magmatik dan tataan tektonik yang kompleks di Busur tersebut potensial menyebabkan terjadinya mineralisasi, menghasilkan beberapa tipe cebakan bijih seperti porfiri, epitermal, dan skarn. Tujuan dari penelitian ini adalah untuk mengidentifikasi alterasi, mineralisasi, dan tipe cebakan bijih pada daerah penelitian. Metodologi penelitian meliputi pengeboran eksplorasi, pemetaan alterasi, dan analisis laboratorium menggunakan metode XRD, petrografi, dan mineragrafi. Alterasi yang berkembang di daerah penelitian terdiri dari alterasi argilik (illit, kaolin, dan smektit), alterasi propilitik (klorit, epidot, dan kalsit), marbellized (95% kalsit), dan skarnisasi (klinopiroksen, wollastonit, klorit-skarn, dan epidot-skarn). Pada skarn terdapat indikasi tahap prograde yang ditandai oleh mineral piroksen dan wollastonit, serta tahap retrograde ditandai oleh mineral epidot, kalsit, dan klorit. Mineralisasi daerah penelitian terdiri dari galena, sfalerit, pirhotit, pirit, dan kalkopirit. Kehadiran mineral  piroksen dan wollastonit, serta galena dan sfalerit menunjukkan bahwa skarn terbentuk pada zona menengah hingga distal.
Novel Framework for Enhancing E-Governance Systems Using Cloud Computing and Data Management Techniques
Authors: Abbas Amel H. , Khudhair Mustafa Mohammed , Aziz Mustafa A , Hussien Nadia , Mohialden Yasmin Makki Mohialden
Published: November 2024

This study proposes a novel way for electronic government organizations to create and deploy computer systems. The recommended solution uses Amazon Web Services (AWS) S3 and Python's Pandas module to handle and analyze citizen data in a safe, scalable cloud. Data, security, and flexibility are major issues with e-government apps. It shows that cloud computing may increase digital governance's reliability, security, and efficiency, offering new alternatives to conventional paradigms. The utilization of cloud computing approaches to overcome traditional network restrictions and create a more flexible and efficient digital framework makes this research unique. According to the study, AWS S3 and Pandas can handle enormous datasets, improve data security, and streamline public service delivery. This strategy promotes service delivery and citizen interaction while improving e-governance's technological competence. According to the paper, online computing's scalability, efficiency, and security make it revolutionary in public administration. It gives states an organizational structure to embrace cloud-based apps, showing how technological improvements may improve government efficiency and efficacy, benefiting residents and the public. Emphasizes electronic governance by proposing a new cloud-based computing architecture for public administration. It enables governments to build more durable and adaptive electronic systems, enabling online governance advances.
Assessment of Errors in Handwritten Prescriptions in Zliten City- Libya
Authors: Alhmmali Abdalla  , Aimen Heshad  , Nour Aldeen Ehmedh  , Mohammed Gratem
Published: November 2024

Errors in handwritten prescriptions are a major factor in medical errors and are the main cause of harm to patients due to the lack of clarity of the prescription or the lack of correct data, which leads to the prescription of the wrong medication, causing adverse events. The present study aimed to identify the common errors in handwriting prescriptions in Zliten City. To collect information about errors in handwritten prescriptions, we used two models: first, we distributed fifty-one questionnaires to fifty-one pharmacies distributed in all areas of Zliten city, and second, we collected one hundred and fifty prescriptions from different health facilities distributed in different areas within Zliten city. The questionnaires and prescriptions then analysed to identify medical errors. In the first model of the questionnaire, the results are as follows: the patient's name and age are often present, while the gender, doctor's name, and stamp are often absent. The main issue lies in the clarity of the font for the drug's name, dose, and dosage form. In the second model of the prescriptions, the results are as follows: the patient's name is mostly present, while gender and diagnosis are absent in about 40% of the prescriptions, the doctor's name is mostly absent, and only 2% of the prescriptions have the doctor's stamp and number in the syndicate, and the main issue lies in the clarity of the font for the drug's name, dose, and dosage form., as it is unclear in between 20-30% of the prescriptions. We found that the patient's information is present in most prescriptions the opposite of the questionnaire in which it is less. Also in the prescriber's information, the analysis in our result for prescription contradicted the questionnaires, as most prescribers in the questionnaire are present, we also found that during the analysis of drug information in prescription not clear more than in the questionnaire. From this research, we concluded that there are many errors in prescriptions, possibly because of the large number of cases that need to be seen by the doctor and the speed of writing, and perhaps because doctors forget the vocabulary of the names of medicines. Because of the many errors in handwritten prescriptions, we must immediately switch to computerized prescription writing.
Emerging Therapeutic Approaches to Drug-Resistant Tuberculosis: A Case Report and Review of Novel Treatments
Authors: Pandey Ashish
Published: November 2024

Drug-resistant tuberculosis (DR-TB), particularly multidrug-resistant tuberculosis (MDR-TB), poses a major global health challenge. Conventional treatment regimens are long, toxic, and often ineffective. This case report describes a 32-year-old male patient with MDR-TB unresponsive to standard therapies, successfully treated using a novel combination of repurposed drugs, immunomodulators, and bacteriophage therapy. Sputum cultures converted to negative within three months, with sustained clinical and radiological improvement over 12 months. The review further discusses the integration of artificial intelligence (AI) in optimizing treatment regimens, a promising but underexplored area in MDRTB management. This case underscores the need for innovative therapeutic approaches to improve outcomes in DR-TB.
Community-Driven Poverty Eradication Strategy: Lessons from Kasese District, Uganda – A Sub-County Level Analysis
Authors: Kungu Ithungu Eresi , Nyamboga Tom Ongesa
Published: November 2024

Poverty eradication continues to pose a significant global challenge, impacting millions and hindering sustainable development. Effectively addressing poverty necessitates comprehensive strategies that extend beyond merely tackling economic disparities, emphasizing the need to empower communities for active participation in their development. In rural Uganda, poverty alleviation remains a critical issue. This study explored the effectiveness of the community empowerment approach in reducing poverty within the Bwera, Karusandara, and Karambi sub-counties of Kasese District in Uganda. Grounded in community development theory, the research employed a quantitative approach using both correlation and survey research designs. Researchers selected a sample size of 130 respondents from a target population of 192 through stratified random sampling and simple random sampling techniques. They gathered primary data using structured questionnaires and analyzed the data with descriptive and inferential statistics via SPSS version 26. Findings from simple linear regression and correlation analyses revealed a significant positive relationship between community empowerment and poverty alleviation (t=2.805; P=.006; r = 0.446; p < 0.01; p < 0.05). The study illustrates a substantial positive connection between community empowerment and poverty alleviation, demonstrating that enhancing community capacity leads to better poverty outcomes. Policymakers should prioritize community empowerment initiatives as a central strategy for poverty alleviation, promoting local participation and resource access to improve sustainable development outcomes. This study’s significance for policymakers lies in its evidence that community empowerment is essential for effective poverty alleviation, informing the development of targeted strategies that enhance local participation and resource access, ultimately fostering sustainable and impactful poverty reduction efforts.
Post-Covid Management Strategies for Enhancing SME Growth in Zimbabwe: A Literature Review
Authors: Kusangaya Rudolph , Mpundu Mubanga
Published: November 2024

The challenges threatening the growth of SMEs in the Post Covid era is an accumulation of the pre Covid and Post Covid challenges. While a lot of studies addressing SMEs challenges and recommendations are noted in literature, a few focus on SMEs operational and administrative related challenges, which are key areas of failure for the SMEs threatening their survival and growth. The current paper is based on a thesis involving a detailed review literature review of 50 articles on SME issues, challenges and recommendations published within the past 25 years inclusive of the pre Covid and post Covid 19 era. Recommendations where extracted, analyzed and synthesized to come up with a framework of Best Business practice for SMEs in the post Covid era. The study provided a framework suitable as a frame of reference for SMEs Practitioners, Managers and Academics for practice recommendations that stimulate efficiency and mitigate the operational and administrative challenges threatening the growth of SMEs in the post Covid era. This paper provides a summary of the findings and explains the components of the framework and how it is recommended to work in practice.
The Role of Teamwork on Employee Performance; A Survey of State Corporations in the Energy Sector in Kenya
Authors: Nyambura Joyce , Kahuthia Julius , Wangui Karuiru Marion
Published: November 2024

Employees are crucial for the success and sustainability of the energy sector. However, employee performance remains a major issue facing the sector. The energy sector in Kenya is grappling with a multifaceted challenge in the distribution of electricity, characterized by substantial technical and non-technical power losses. Employee performance directly influences the efficiency of operations, cost-effectiveness, and the ability to achieve organizational objectives. Strong relationships within the workplace enhance communication, foster innovation, and contribute to a positive organizational culture therefore the study sought to assess the effect of relational empowerment and employee performance in State Corporations in the energy sector in Kenya. The study specifically sought to assess the effect of teamwork on employee performance in State Corporation in the energy sector in Kenya. The study was anchored on relational exchange theory. The study adopted a descriptive research design. The target population was 204 employees from where a sample of 135 respondents was drawn using Taro Yamen formula. The study collected data using structured questionnaires and the data was analyzed using frequencies, percentages, mean, standard deviation and Pearson’s correlation. The findings from the analysis revealed that assigning responsibilities helps employees to understand their roles which enhance performance. The study also revealed that setting collaborative goals ensures that team efforts are aligned with the broader objectives of the organization. The study concluded that there exists a positive and significant relationship between teamwork and employee performance in State Corporation in the energy sector in Kenya. The study also recommended that Kenyan Energy State Corporations should encourage collaborative goal setting and define clear roles and responsibilities within teams, foster trust among team members and promote a culture of innovation to enhance teamwork and performance.
Transforming Healthcare Delivery through Innovative Inventory Control Technology Strategy: Lessons from Bushenyi District, Uganda
Authors: Amukule Maureen Marcel , Nyamboga Tom Ongesa
Published: November 2024

Transforming healthcare service delivery through technology-enhanced inventory control has emerged as a crucial strategy for improving efficiency in resource-limited environments. This study explored the impact of technology integration into inventory control management systems within healthcare facilities in Bushenyi District, Uganda. Grounded in Task-Technology Fit (TTF) Theory, the research utilized a quantitative approach with a correlational design. The target population comprised 192 permanent healthcare workers, from which 130 respondents were selected using the Yamane formula. The study collected primary data through a structured self-administered questionnaire, subsequently analyzed using Statistical Package for Social Scientists (SPSS) version 25. A pilot test involving 13 respondents ensured the validity and reliability of the instrument. Both descriptive and inferential statistics facilitated data analysis. Findings revealed a positive significant relationship between technological integration and service delivery (t=2.226, P=0.028<0.05). The study concludes that integrating technology significantly enhances service delivery in healthcare facilities. Recommendations urge healthcare facilities to prioritize technology integration within their service delivery processes to boost operational efficiency and improve patient outcomes. Policymakers can utilize these findings to implement initiatives that promote and invest in technological integration within healthcare systems, ultimately improving service delivery and enhancing patient care and operational efficiency.
Legal Protection Through Diversion in Child Crimes Based on the Juvenile Justice System Law (SPPA Law)
Authors: Mufida Arya Zahroul , Pujiyono Pujiyono
Published: November 2024

Child protection issues in Indonesia are regulated in the Law on the Juvenile Criminal Justice System (SPPA Law). Legal protection efforts for children can be carried out through diversion. Diversion in its implementation is an action taken as a change from the process of resolving cases that occur to children to a settlement process outside the court. If a child commits a criminal offense before turning eighteen, and if the child is turned into the juvenile court after turning eighteen but before turning twenty-one, they are still turned over to the juvenile court. Article 20 of Law No. 11/2012 on the Juvenile Criminal Justice System (SPPA Law) states as much. This article's goal is to investigate how the Juvenile Justice System Law (SPPA Law) protects juvenile criminals legally through diversion. The primary and secondary legal resources served as the data sources for this normative legal study. Qualitative procedures argue that problems differ in their nature, this research approach is more likely to use in-depth analytical tools, specifically looking at problems based on legal protection.  The research material collected will be examined in accordance with the relevant legal and regulatory framework by way of comparison with actual practice. The results state that the legal protection of children through diversion is related to the transfer of cases from the formal process to the informal process, or removing the perpetrator from the juvenile criminal justice system.  Legal protection can be understood as efforts to enforce the law in support of children's various freedoms (including their basic rights and freedoms) and interests relating to their welfare. As such, all children are protected, including those involved in legal disputes (ABH).
Designing a Dynamic Weighted Stacking Recommendation System
Authors: Sharma Nisha , Dutta Mala
Published: November 2024

To increase accuracy, ensemble approaches have become increasingly popular in designing recommendation systems. More recently, efforts have focused on dynamically integrating base models to improve ensemble performance further. Dynamic integration entails combining multiple base models with dynamically changing contributions to the ensemble. In this paper, we propose a Dynamic-Weighted Stacking (DWS) recommendation model. Bayesian optimization is used to adjust hyperparameters and find the best weight for each base model dynamically. The base models used in the DWS recommendation model are K-Nearest Neighbors (KNN), Linear Regression (LR), and Support Vector Machine (SVM). The proposed ensemble model is tested across various scenarios corresponding to different user populations with varying ratings and user counts, and the results are reported. We also compare the DWS recommendation model to individual static base models. It is observed that the batch dynamic integration approach works better than individual static models and static traditional stacking. The proposed model's flexibility in handling various data distributions highlights its potential for real-world applications in recommendation systems.
Harnessing AI & SaaS-Based Enterprise App Development for Business Growth
Authors: Haridasan Praveen Kotholliparambil
Published: November 2024

Purpose: This paper aims to explore the transformative impact of artificial intelligence (AI) on enterprise models within the context of Software as a Service (SaaS), highlighting the necessity for organisations to adopt AI-driven strategies to sustain their competitive edge.
Methodology: The study utilises a comprehensive framework that outlines five critical steps for implementing AI in business settings, including executing pilot projects, assembling in-house AI teams, providing extensive training, developing holistic AI strategies, and ensuring effective communication.
Findings: The integration of AI within SaaS not only enhances operational efficiency and process optimisation but also allows for real-time customisation and improved user engagement, thus fostering customer loyalty and driving sustainable growth.
Unique contribution to theory, practice and policy: The paper contributes to the understanding of AI and SaaS as essential components in the evolution of enterprise applications, proposing that organisations adopt a collaborative approach to harness their combined potential, ultimately informing policymakers about the strategic importance of AI in shaping future business landscapes.
Forecasting Life Insurance Loss Reserves Using Time Series Analysis.
Authors: Osei-Mainoo Angela , Atidebana Daniel Logolam , Nyarkoh Stephen Kwaku
Published: November 2024

Purpose: To determine an accurate predictive model that captures trends and seasonality in life insurance claims.
Methodology:  Time Series Analysis is used to forecast Secondary data on life insurance claims. The researcher aims at using a non-actuarial and accurate predictive model that captures trends and seasonality in life insurance claims over time. The dataset, comprising monthly claim amounts from May 2018 to March 2024 obtained from an insurance company.
Findings: Life insurance claims increases with time hence the insurance companies are to set up an appropriate reserve to cater for future occurrence. It is realized that ARIMA (2,1,1) is appropriate for modelling the life insurance claim amounts with a least Log Likelihood value of -766.99, AIC value of 1521.97, AICc value of 1522.6, and BIC value of 1530.91. An ACF plot and Ljung Box test on the residuals shows the residuals are free from autocorrelation and free from heteroscedasticity respectively and hence the model is a white noise and adequate for further analysis. The result of the twelve months forecast indicates an increase in the life insurance claims.
Unique contribution to theory, practice and policy: Managers in the insurance companies should focus on risk management and reserve allocation of fund in order to meet short term and long term claims settlement.
HOTS-Based Formative Assessment: The Key to Improving The Quality of Learning
Authors: Adzidzah Nur , Yudiawan Agus
Published: November 2024

This study aims to explain Higher Order Thinking Skills (HOTS)-based formative assessment in learning and reveal the principle of constructivism in comprehensively building students' high-level thinking skills. Literature studies are used as a research method. Relevant literature derived from books and articles in scientific e-journals was collected through documentation techniques. Furthermore, the data obtained was analyzed for content. The results show that HOTS-based formative assessment is the key to improving the quality of learning. This assessment trains students to think critically, analyze, and solve problems independently. In addition, teachers can also get more accurate feedback on student learning development so that they can provide appropriate interventions. The theory of constructivism provides a solid foundation for developing HOTS-based formative assessments. These assessments measure students' learning achievements but also encourage students to think critically, creatively, and independently. By consistently implementing HOTS-based formative assessments, it can create graduates with the competencies needed to face the challenges of the 21st century.
IMPACTOS DA VISITAÇÃO PÚBLICA NA AVIFAUNA DOS PARQUES NATURAIS MUNICIPAIS BOSQUE DA BARRA E DA FREGUESIA, MUNICÍPÍO DO RIO DE JANEIRO, BRASIL
Authors: Veiga Raymundo Corrêa Nivia Cristina , Lourenço Pontes Jorge Antônio
Published: November 2024

A Mata Atlântica no município do Rio de Janeiro foi reduzida a fragmentos, sendo muitos desses protegidos como unidades de conservação da natureza (UC), que abrigam uma elevada riqueza de espécies da avifauna e que convivem com uma intensa visitação pública. O presente estudo teve como objetivo avaliar os impactos da visitação pública sobre aavifauna no Parque Natural Municipal Bosque da Barra (PNMBB) e no Parque Natural Municipal da Bosque Freguesia (PNMBF). O estudo foi iniciado em janeiro de 2021, com observação direta em campo com uso de frequência de ocorrência, índice pontual de abundância, distância inicial de voo e a abundância relativa da avifauna através de pontosfixos de observação e escuta e do método de distância inicial de voo. Os dados foram comparados entre os períodos em que as UC estão fechadas para visitação pública e os dias com visitação mais intensa. Também foram identificados e registrados hábitos alimentares e uso de habitats. O esforço amostral foi de 135 horas com o registro de 67 espécies para o PNMBB e 56 espécies para o PNMBF. Por meio da comparação, foi identificado um déficit da frequência de ocorrência e do índice pontual de abundância, com uma redução na abundância relativa de espécies observadas. No PNMBB, as espécies mais sensíveis à presença humana foram Ardea alba, Furnarus rufus e Columbina talpacoti, enquanto noPNMBF foram: Pitangus sulphuratus, Columbina talpacoti e Troglodytes musculus– mesmo sendo espécies típicas de áreas urbanas.
CONHECIMENTOS, USOS E PRÁTICAS DE MORADORES DO ENTORNO DA ÁREA DE PROTEÇÃO AMBIENTAL DO ENGENHO PEQUENO E MORRO DO CASTRO (SÃO GONÇALO, RJ) EM RELAÇÃO A VERTEBRADOS EXÓTICOS DOMÉSTICOS
Authors: Carvalhaes Fonseca Tulio Augusto , Borges Luciano dos Santos , Santori Ricardo Tadeu
Published: November 2024

Este trabalho explora a interação de moradores ao redor da Área de Proteção Ambiental do Engenho Pequeno e Morro do Castro (São Gonçalo, RJ) com vertebrados exóticos domésticos. O estudo aborda a presença e a disseminação de espécies exóticas como um problema ambiental, destacando seu impacto no Brasil. Ele investiga como o conhecimento e as práticas locais influenciam essas interações e as dinâmicas do ecossistema. A pesquisa concentra-se nos animais domesticados e em como os moradores afetam e são afetados pela fauna exótica. Ao compreender essas relações, o estudo busca contribuir para o manejo e a conservação de áreas protegidas, ressaltando a importância de considerar os saberes e as práticas das comunidades locais. O trabalho oferece uma visão aprofundada sobre o papel dos vertebrados exóticos domésticos na ecologia local, ajudando a identificar estratégias que possam ser implementadas para minimizar os impactos negativos dessas espécies no ambiente natural.
ZNAČAJ DIGITALNE STEREOTAKSIJSKE BIOPSIJE U KORELACIJI SA PATOHISTOLOŠKIM POSTOPERATIVNIM NALAZIMA
Authors: Papracanin Armin , Šeper Semra , Bajramović Jasmina , Prevljak Sabina , Trogrlić Ana
Published: November 2024

Aim : This research was conducted with the aim of analyzing the accuracy and diagnostic value of digital stereotactic breast biopsy compared to the postoperative histopathological findings.
Methods : A retrospective-prospective study was carried out over a period of 10 months, involving 30 female patients who underwent stereotactic breast biopsy. Data were collected on BI-RADS status, histopathological findings after stereotactic breast biopsy and after surgical excision, basic demographic and relevant medical history data. The patients were divided according to the degree of malignancy into three groups: patients with benign, patients with suspicious and patients with malignant pathohistological findings. The BIS and RIS systems were used for data collection, and the data were statistically analyzed using STATISTICA for Windows.
Results : All patients had a radiological finding of BI-RADS 3 or higher. Histopathological results after stereotactic biopsy showed benign findings in 17 patients (B1 and B2), borderline malignant changes were present in 4 patients (B3), one patient had a lesion suspicious for malignancy (B4), and 8 had confirmed malignant lesions (B5). Out of the total 30 patients, 13 underwent surgical treatment. Postoperative histopathological findings in 4 patients showed benign changes, 6 patients had an invasive form of carcinoma, including 5 with invasive NST breast carcinoma and one characterized as invasive ductal breast carcinoma, while three patients had Ductal Carcinoma In Situ (DCIS). A correlation test was performed between the estimated degree of malignancy from the pathohistological findings after stereotaxic biopsy and after surgical operation. Spearman's ρ test showed a significant correlation between the two methods (p < 0.001).
Conclusion : The results of histopathological analysis of samples obtained through the stereotactic biopsy method largely correlate with the postoperative histopathological diagnosis in patients who underwent surgical treatment.
Keywords : digital stereotactic breast biopsy, PHD findings, BI-RADS, NST, Ductal Carcinoma In Situ.
RADIOLOGICAL ASSESSMENT OF SPONDYLOLISTHESIS OF LUMBOSACRAL SPINE
Authors: Đopa Antonio
Published: November 2024

Introduction: One major injury or frequent minor injuries cause the vertebral body, pedicle and superior articular surfaces to slide forward. This disorder is known as spondylolisthesis and is usually accompanied by symptoms, often proportional to the degree of forward movement. Patients may complain of pain in the lower back that spreads to the thighs, and limited range of motion is possible
Objectives: The aim of this study is to determine the frequency of spondylolisthesis by age and gender in the patients studied at SKB Mostar.
Research methodology: The method of content analysis was used to retrospectively examine X-ray, CT and MRI examinations of patients with the clinical features of lumbar pain syndrome in the period from 1 January 2019 to 1 January 2020 in patients who underwent radiological examination of the LS spine at the Clinical Institute of Radiology of the University Clinical Hospital Mostar. Data were collected from IMPAX at the SKB Mostar Department of Radiology. The input parameters that were observed were: pain syndrome, diagnosis. The output parameters were the radiological findings from the X-ray, CT, and MRI scans.
Results: During the study period, 297 spinal scans were performed, and spondylolisthesis was found in 32 patients, or 11%. The youngest respondent was 8 years old, and the oldest was 85 years old. The average age of the respondents was 64.37 years. The largest number of respondents was in the age group of over 75 years old. Of the tests performed, the most common were CT scans, followed by MRI, and the rarest were X-ray scans. The highest prevalence of spondylolisthesis was found in vertebrae L4-L5 and L5-S1 at 41%. Spondylolisthesis was found bilaterally in 9% of cases at the L3-L4 and L5 vertebrae.
Conclusion: Most often, spondylolisthesis is found in L4-L5 and L5-S1 vertebrae. There was no difference according to gender, and most often subjects older than 75 years had spondylolisthesis.
Cyber Hacking Breaches Detection Using Machine Learning
Authors: Prof. Kurhe. P. V  , Aishwarya Antre  , Piyush Deore  , Aniket Thakare  , Tushar Salunkhe
Published: November 2024

Cyber hacking breach prediction is one of the emerging technologies and detecting and predicting breaches through computer algorithms has become a very challenging task To make malware detection more effective, scalable and more efficient than traditional system calls human involvement Machine learning to be used for breach detection and prediction The main goal is a series of cyber hacking attacks each of which will harm the person’s information and financial reputation. Government and non-profit organizations’ data, such as user and company information,, can be compromised, posing a risk to their finances and reputation if they collect information from websites and social networks it can trigger a cyber attack. Organizations such as the healthcare sector are capable of holding sensitive information that must be handled discreetly and securely. Data breaches can lead to identity theft, fraud, and other losses. The findings show that 70% of breaches affect a wide range of organisations, including healthcare providers. The investigation indicates a possible data breach. Due to the heavy usage of computer programs and security on the host and network, there is a risk of data breach. Machine learning can be used to detect these attacks. Research uses machine learning models to protect against web security flaws. The data set is available from the Privacy Rights Clearing House. Teaching employees how to use modern security measures can reduce data breaches. This can help to understand attack detection and data security. Machine learning models such as Random Forest, Decision Tree, k-means and Multi- layer Perceptron are used to predict data violations
Developing a Real Time Non Invasive Approach to Distinguish Natural and Artificial Ripened Fruits
Authors: Somvanshi Vaishnavi. B  , Dighe Sandhya. B  , Jamdhade Sakshi. S  , Badwar Pranoti. Y
Published: November 2024

In this project we focuse on detecting artificial and natural ripened fruit using the sensor introduces a novel Internet of Things-based method. An ESP32 microcontroller serves as the system's central hub and is responsible for gathering and interpreting data from a wide range of sensors. These sensors include a DHT sensor that measures the temperature and humidity inside the fruit container, a moisture sensor that determines the moisture content of the fruits and vegetables, a weight/load sensor that tracks the weight of the produce, and a MQ2 gas sensor that carefully measures the concentration of ethylene gas released by fruits [7]. This strategy reduces food waste and preserves agricultural products by providing a more effective and sustainable substitute for conventional techniques. A key component of guaranteeing the freshness, quality, and market value of fruits and vegetables is their timely ripening.The ability of the system to continuously evaluate the complex interactions between temperature, humidity, moisture, etc. This project presents the development of an IoT-based system for preventing the premature ripening of fruits and vegetables. The system utilizes sensors to monitor ethylene gas concentration, temperature, humidity, moisture content, and weight, enabling timely intervention to regulate ripening conditions. By detecting changes in these parameters, the system can activate a DC fan to improve air circulation and disperse ethylene gas, and a DC pump to spray ethylene absorbent onto the fruits. This helps to control the ripening process and prolong the shelf life of fruits and vegetables.
Android and IoT Integrated Smart Wildlife Surveillance using Night Vision
Authors: Prof. Borhade Rani Balasaheb  , Lamkhade Harshada Ramdas  , Lende Divya Ganesh  , Garje Nikhil Ravindra
Published: November 2024

Animal are important part of our ecosystem. Animal are very critical to our ecosystem. Due to increase in animal trafficking many wild animal are becoming endanger and also there population is decreasing. Because of this humans have created zoo, national park and sanctuaries which can work as safe heavens for these animal to avoid extinction. There can be scenario where animal are ill or poor health condition which can be a also cause of the death. Many people visit national park and sanctuaries where they are not able to see all animal. This project will be implement in python and will implement YOLO V7 algorithm to detect animals. Once animal is detected it will send name and GPS co-ordinates of the animal. These GPS co-ordinates will display on mobile and farmer can find animal at given location. This project can also be placed in farm land where human and animal conflict are common. If animal is detected it can send alert or sound can be generated to distract it. This project will help detection on wild animal using camera and deep learning technology. Android app will be used to locate the animal on google map..
Phytosomes: Enhance the Bioavailability and Therapeutic Efficacy of Herbal Extract
Authors: Dr. L. D. Higane  , Prasad Gahininath Sanap  , Rushikesh Trimbak Nimbalkar  , Nitin Rajebhau Wagh
Published: November 2024

Plant extract have been proved useful in treatment of various disease ,but their hydrophilic nature and unique chemical structure has imposed a major challenges. People are drawn to therapeutic herbs because of their minimal side effects. Herbal medicines’ uses are limited by the traditional dose Form’s low absorption, decreased bioavailability, and reduced penetration through biological membranes. To address all of these problems with herbal extract or plant actives, a revolutionary drug delivery system known as Phyto-Phospholipid Complexes (Phyto some) approach was introduced. This cutting-edge technology technique Produced the desired therapeutic effect at a lower dose. Increased pharmacokinetic characteristics, skin penetration Through strategic targeting to transition from hydrophilic to lipophilic environments, and improved stability due to Chemical coupling. The most recent research on the potential use of Phyto complexes for the treatment of various Diseases, their marketable form, the mechanism of Phyto transportation, and the prospects for the future are Summarized in this review. The Prospectus of the Phytosomes Method can provide new directions and a boundless Frontier as revolutionary medicinal therapy.
Natural Language Processing for Electronic Health Record Optimization in Android Applications
Authors: Gift Mboneche  , Ulemu Mponela
Published: November 2024

This paper aims to demonstrate the development of an Android application designed to improve healthcare data management using Natural Language Processing (NLP) technologies. It develops an Android application that enables healthcare professionals to access patient records anytime, enhancing decision-making. The system uses Optical Character Recognition (OCR) to extract patient data from documents, simplifying data entry for diagnoses and treatments. It also incorporates Quick Response (QR) code generation for accurate data retrieval. By leveraging NLP, the mobile application will enhance efficiency, accessibility, and accuracy in healthcare, particularly benefiting developing countries where digital health records are uncommon..
Formulation and Evaluation of Herbal Shampoo
Authors: Pathan Mujayat Jafar  , Sayyed Muzammil Sayyed Ahemad  , Gore Hanuman Sundar  , Dr. L. D. Hingane
Published: November 2024

The main object of this present study is to prepare and evaluate an herbal Shampoo and determine physiochemical function that emphasizes on safety, Efficacy and quality of the product Herbal Shampoo is the natural haircare product Which is use to remove grease, dirt, dandruff and promote hair growth. Strenthness and darkness of the hair. It is also supply softness, smoothness, and Shines for the hair. Various drugs are used for the pre mixture of cosmetics Shampoo. Such drugs shows different side effects such as hair loss, high scaling, Scratching, discomfort, nausea and headache. Therefore an experiment is made to prepare herbal shampoo that is free from side effects. (1) The aim of the present study is to Formulate and evaluate herbal Anti dandruff Shampoo containing natural ingredients with an Emphasis on safety and efficacy.(2).
Blockchain Based Proxy Re-Encryption for Secure Data Sharing
Authors: Gunjal Aditya Ashok  , Chikane Mayur Sakharam  , Jadhav Shreyash Ashok  , Prof Ghodake G. K.
Published: November 2024

This paper proposes a solution to secure data sharing within the Internet of Things (IoT) by combining Proxy Re-Encryption (PRE) and Blockchain. In IoT networks, data must often be shared across multiple devices and users, raising concerns over data privacy and security. Proxy Re-Encryption enables controlled data sharing without disclosing original information, while Blockchain technology offers an immutable, transparent ledger for tracking data transactions. Together, these technologies ensure data integrity, privacy, and efficient access control, making them suitable for modern IoT applications
ICT USAGE IN TESL EDUCATION: INSIGHTS AND OBSTACLES FACED BY TEACHER-TRAINEES IN KOTA KINABALU
Authors: Anak Puteh Vanessa
Published: November 2024

This study explores the integration of Information and Communication Technology (ICT) in English language learning among TESL teacher-trainees in Kota Kinabalu, Malaysia. Since English is a compulsory subject in Malaysian education, the government has been placing increasing focus on ICT use to improve language learning. In the past two decades, much has changed in policy and practice to create more positive perceptions of ICT as a possible solution; but while these shifts may now make sense on paper, several obstacles remain for making changes effectively simply by introducing yet another new technology. The main objectives are to find out TESL teacher-trainees’ perception towards usage of ICT in classroom and obstacles in using ICT faced by TESL teacher-trainees in classroom.
Shortage of technological infrastructure, technology access, and trained teachers on the usage of ICT are some challenges. In addition, different perceptions among teacher-trainees indicate issues such as low self-confidence in ICT usage. This paper uses a mixed-methods approach, using both quantitative questionnaires and qualitative interviews to capture the trainee experience. Using a purposive sample of 88 TESL trainees, primarily practicum participants in Sabah, this study employed a mixed-methods approach with quantitative questionnaires and qualitative semi-structured interviews. Fifteen trainees were selected for interviews to provide in-depth insights. The significant finding concludes a strong and positive correlation between teacher perception towards ICT usage in the classroom. Nevertheless, lack of resources, and training may hinder the effectiveness of the ICT. The knowledge gained will help to direct policy and curriculum development-informed teacher training aimed at increasing the use of ICT in English instruction.
Use of complementary and alternative medicine by cancer patients attending Jaramogi Oginga Odinga Teaching and Referral Hospital, Kenya
Authors: Obat Rhoda Atieno , Okalebo Faith , Terefe Ermias
Published: November 2024

This study aimed to determine the prevalence and patterns of complementary and alternative medicine use among cancer patients at Jaramogi Oginga Odinga Teaching and Referral Hospital's Oncology and Palliative Care Unit. A cross-sectional study was carried out at the hospital. Seventy-one (71) participants were conveniently sampled. They were eligible to participate if they were at least 18 years old, had a cancer diagnosis, and could comprehend the questions. A questionnaire was used to collect data that was then analysed using STATA 13.0 at a 0.05 level of significance. Participants included 25(35.2%) males and 46(64.8%) females were recruited. About 67.6 per cent of the participants used complementary and alternative medicine. Majority used it for Tumour suppression (n = 25, 52.1%), and most sourced from CAM practitioners (n = 23, 47.9%). Overall, 60.4 per cent of complementary and alternative medicine users experienced side effects, with diarrhoea affecting the greatest percentage (62.1%). The highest level of education was found to be positively associated with the use of complementary and alternative medicine (aOR=3.337). In conclusion, complementary and alternative medicine is widely used by cancer patients attending Jaramogi Oginga Odinga Teaching and Referral Hospital Oncology and Palliative Care Unit. As a result, there is need identify specific herbs taken by cancer patients, evaluate their active constituents, and investigate their potential anticancer mechanisms, as well as assess their knowledge, attitude, and perspective.
O processo de humanização na gestão escolar democrática em uma escola de buritis – RO
Authors: Silva Ana Paula de Oliveira , Bombardelli Joel
Published: November 2024

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O uso de imagens no processo de escolarização de estudantes surdos
Authors: Aguiar Eli Prestes de
Published: November 2024

A escolarização de estudantes surdos ao longo da história envolveu diferentes estratégias metodológicas. No entanto, nos últimos anos, a Educação Bilíngue de surdos tem apresentado as possibilidades pedagógicas mais adequadas às especificidades da pessoa surda, a partir da pedagogia visual e da potencialização de um dos artefatos culturais do povo surdo, as experiências visuais. Nesse sentido, este Relato de Experiência aborda a importância do uso de recursos visuais na compreensão e na produção de conhecimento de estudantes surdos e apresenta que é possível ter resultados diferentes quando as escolhas metodológicas são tecidas por caminhos que dialogam com as singularidades linguísticas dos estudantes.
Desafios e perspectivas do PROERD no contexto escolar
Authors: Escobar Valdecir Guerreiro
Published: November 2024

Este artigo analisa o Programa Educacional de Resistência às Drogas (PROERD), destacando seu histórico, desafios enfrentados e impacto no contexto escolar. O objetivo é analisar a eficácia do PROERD na prevenção ao uso de drogas entre crianças e adolescentes, e identificar os principais obstáculos que ele enfrenta em sua implementação. A metodologia incluiu uma revisão da literatura bem como uma análise dos dados disponíveis sobre seu impacto nas escolas. A pesquisa é qualitativa e baseada em pesquisa bibliográfica. Os resultados indicam que o PROERD desempenha um papel crucial na conscientização dos estudantes sobre os perigos das drogas, promovendo valores como responsabilidade e autoestima. No entanto, o programa enfrenta também desafios significativos, como a falta de recursos adequados e a necessidade de adaptação às mudanças sociais. Conclui-se que, apesar dos obstáculos, o Programa continua sendo uma ferramenta valiosa na promoção da saúde e bem-estar dos alunos, e sua continuidade e aprimoramento são essenciais para garantir sua eficácia a longo prazo.
Ticarette Önemli Ağaç Türleri
Authors:   İstanbul Üniversitesi-Cerrahpaşa, Orman Fakültesi, Orman Endüstri Mühendisliği, Orman Biyolojisi ve Odun Koruma Teknolojisi Ana Bilim Dalı, İstanbul, Türkiye, Tuncer Fatma Diğdem , Doğu Ayşe Dilek ,   İstanbul Üniversitesi-Cerrahpaşa, Orman Fakültesi, Orman Endüstri Mühendisliği, Orman Biyolojisi ve Odun Koruma Teknolojisi Ana Bilim Dalı, İstanbul, Türkiye
Published: November 2024

Ağaç türü teşhisi ahşap işleyen endüstriler, yarı mamul ve mamul halde ticaretini yapan kuruluşlar için olduğu kadar botanik, antropoloji, arkeoloji, sanat tarihi, etnografya, konservasyon, restorasyon, kriminoloji gibi farklı disiplinler için de oldukça önemlidir. Klasik odun teşhis yöntemleri olarak kabul edilen ve ahşabın makroskobik ve mikroskobik yapısını incelemeye dayanan yöntemler günümüzde en yaygın olarak kullanılan ve güvenilir teşhis yöntemleridir. Bu iki yöntem birbiri ile karşılaştırıldığında mikroskobik teşhis makroskobik teşhise göre laboratuvar şartlarında nispeten uzun hazırlık ve inceleme sürelerini ve bu konuda uzmanlaşmış olmayı gerektirmektedir. Bu bölümde; konunun uzmanı olmamakla birlikte özel ilgi duyan kişiler dikkate alınarak, ülkemizde ticarette sıklıkla kullanılan iğne yapraklı ve geniş yapraklı ağaç türlerinin makroskopik özellikleri ve kullanım alanları ile ilgili bilgiler verilmiştir
Optimizing pharmaceutical supply chain management through AI-driven predictive analytics: A conceptual framework
Authors: Adeleke Damilola Adekola  , Samuel Ajibola Dada
Published: November 2024

The pharmaceutical supply chain is a complex, multi-layered system that faces unique challenges, including fluctuating demand, stringent regulatory requirements, and logistical constraints. This paper explores the role of AI-driven predictive analytics in optimizing pharmaceutical supply chain management, presenting a conceptual framework that enables companies to leverage advanced data analytics for improved decision-making, risk management, and operational efficiency. Key AI techniques, such as machine learning, data mining, and predictive demand forecasting, are discussed as tools for addressing critical supply chain issues, including inventory optimization, demand variability, and regulatory compliance. The proposed framework details essential components—data collection, processing, integration with existing systems, and real-time decision-making—and outlines critical success factors for effective implementation. By offering insights into the transformative potential of predictive analytics, this paper provides actionable recommendations for pharmaceutical companies seeking to build resilient and responsive supply chains. Future research directions are also proposed, emphasizing the need for adaptable predictive models and the ethical implications of AI applications in pharmaceuticals.
Keywords: Pharmaceutical Supply Chain, AI-driven Predictive Analytics, Machine Learning, Demand Forecasting, Inventory Optimization, Regulatory Compliance.