bluuebunny/crossref_metadata_2025 huggingface dataset:
SCHISTOSOMIASIS: EPIDEMIOLOGICAL ANALYSIS IN THE FIVE REGIONS OF BRAZIL
Authors: Azevedo Raquel da Silva Machado , Gomes Keyla Nunes Farias , Rocha Leandro , Faria Robson Xavier
Published: December 2024

Schistosomiasis is a parasitic disease caused by the helminth Schistosoma mansoni, which affects approximately 240 million people globally, with Brazil being the most affected country in the Americas, with 1.5 million infected people. The prevalence of this disease is associated with unfavorable socioeconomic conditions and poor basic sanitation. This study aimed to evaluate the epidemiological profile of cases of S. mansoni infection in five regions of Brazil (Northeast, North, South, Southeast and Central-West) between 2010 and 2021. Data from the Schistosomiasis Control Program Information System (PCE) and the Notifiable Diseases Information System (SINAN) were used to analyze variables such as sex, age group, race and incidence by region. The results revealed that schistosomiasis is more common in Northeast, where the combination of unfavorable economic conditions and the presence of snails of the genus Biomphalaria contribute to its spread. In contrast, South and parts of Southeast a lower incidence, which was attributed to better sanitary conditions. The infection predominantly affects men, especially those involved in activities in contact with potentially contaminated aquatic environments, such as fishing and agriculture, who seek medical care less frequently. The most affected age group varies in North, between 40 and 59 years old, and in Northeast, this age group stands out between 2015 and 2021. These data highlight socioeconomic inequalities in the prevalence of the disease, with a higher incidence among people of mixed race in North, Northeast, Southeast and Central-West in South the prevalence is higher among whites. The persistence of schistosomiasis in Brazil highlights the need for control strategies according to the regional epidemiological profile. Schistosomiasis continues to be an important public health problem in Brazil, requiring strategies that prioritize basic sanitation, health education, treatment and epidemiological surveillance to reduce transmission and improve the quality of life of affected populations.
FLUORIDE'S SOCIOECONOMIC IMPACT ON HEALTH EDUCATION: A GLOBAL PERSPECTIVE
Authors: Noronha TP
Published: December 2024

Preventive oral healthcare is a crucial lesson learned with dental health education, significantly impacting both individual well-being and societal economic burden. By empowering individuals with knowledge and skills to maintain optimal oral health, dental education programs can reduce the prevalence of oral diseases, lower treatment costs, and ultimately contribute to a healthier and more economically sustainable future. This article delves into the multifaceted benefits of dental health education, examining its impact on quality of life, healthcare costs, and global economic sustainability. Drawing on recent research, public policies, and community health initiatives from Brazil, Europe, and the United States, we highlight the critical role of dental education in addressing oral health disparities and improving overall population health. As healthcare systems worldwide grapple with rising costs, dental education emerges as a cost-effective strategy. By preventing oral diseases and promoting early intervention, these programs can reduce the need for costly treatments, such as dental extractions and restorations. Moreover, improved oral health can enhance individuals' quality of life, leading to increased productivity and reduced absenteeism. In conclusion, investing in dental health education is not merely a public health imperative but also a sound economic decision. By promoting oral health literacy and empowering individuals to take control of their oral health, we can create a healthier, more prosperous, and sustainable future.
Enfoque Integral de Medicina Interna Tomo 4
Authors: Urzola Suárez María Rosa , Barrera Guerrero Diana Yisela , Valencia Burgos Cristian Alejandro , Montaño Daza Dayra Dayana , Medina Quimbaya Valeria , Camacho Góngora, Alfonso Leonardo , Velázquez Castañeda María Alejandra
Published: December 2024

La medicina integral se basa en una perspectiva holística que considera al paciente como un ser multidimensional, donde los aspectos físicos, emocionales, sociales y espirituales interactúan y afectan su salud. Este enfoque combina conocimientos de la medicina convencional con prácticas complementarias y alternativas basadas en evidencia, con el objetivo de promover la prevención, el diagnóstico y el tratamiento centrado en el individuo.
On the Impact of Oil Prices on Sectoral Inflation: Evidence from the World’s Top Oil Exporters and Importers
Authors: Ben Salem Leila , Nouira Ridha , Rault Christophe
Published: December 2024

This paper investigates the impact of oil price variations on sectoral inflation for a sample of 10 top oil importing and exporting countries. Specifically, we analyze the effects of oil prices on the consumer price index using monthly data spanning the July 2009 to February 2021 period.  Two nonlinear techniques are used to this end: The nonlinear autoregressive distributed lag approach (NARDL), and the Hansen’s model (2000). Our econometric results first indicate that the effect of oil price on inflation tends to change across sectors and countries. Second, the inflationary effects of variations in oil prices are likely to affect the energy sector, such as transport and equipment, which are the most dependent on oil. Third, the effect of oil price exists for all countries, but it is stronger in oil-importing than in oil-exporting ones. Additionally, the country most sensitive to the oil price level is China.
Political Communication Strategies In The Digital Era For Generation Z Voters
Authors: Alifatunnisa Hana , Azzhahra Maullidha , Nurfalah Farida
Published: December 2024

The development of the digital era has changed political communication strategies, especially in reaching Generation Z voters. Social media such as Instagram, Facebook and TikTok have become the main platforms for delivering political messages. The purpose of this study is to analyze Generation Z's views on political communication strategies carried out by politicians in the digital era, as well as identify the effectiveness of social media platforms in attracting the attention of young voters. This research uses a qualitative method with data collection techniques through observation and interviews with six informants from Generation Z who have the right to vote. The analysis was conducted by categorizing the data into relevant themes. The results showed that political communication strategies using social media succeeded in attracting Generation Z's attention. Interesting political messaging and visual content are effective in increasing young voters' interest. The informants revealed that casual and familiar language, as well as the use of humor in political content, greatly influenced their engagement. Social media not only facilitates access to political information, but also enables direct interaction between politicians and voters. However, challenges such as the spread of fake news and the need for critical skills in assessing information are significant barriers for Generation Z. Political communication strategies that utilize social media are very effective for attracting Generation Z. However, efforts need to be made to ensure the accuracy of information and build critical skills in assessing news, so that Generation Z can participate informally in the political process.
Eradication of Land Mafia in Indonesia by the Ministry of Agrarian Affairs and Spatial Planning of the Republic of Indonesia or the National Land Agency
Authors: Amrullah Amrullah , Bakir Herman
Published: December 2024

The land mafia in Indonesia is a complex phenomenon that harms society and has the potential to disrupt social stability. This research aims to analyze the practices of land mafia that occur in Indonesia and evaluate the eradication efforts by the Ministry of Agrarian Affairs and Spatial Planning/National Land Agency (ATR/BPN). Land mafia practices include certificate forgery, illegal land occupation, and document manipulation that threaten the ownership rights of the community. This research uses normative legal research methods, which involve the process of finding legal rules, principles, and legal doctrines to answer the legal issues at hand. Furthermore, this research also examines the policies and strategic steps taken by the ATR/BPN in combating the land mafia, including the establishment of the Anti-Land Mafia Task Force and the strengthening of land regulations. The results indicate that despite various eradication efforts, challenges in law enforcement and inter-agency coordination remain obstacles. Therefore, better synergy between the government, society, and the private sector is necessary to create a transparent and accountable land system. This research is expected to contribute to the development of more effective policies in eradicating the land mafia in Indonesia and reinforcing legal protection for the community.
Analisis Sentimen Terhadap Cyber Bullying di X Menggunakan Algoritma Naïve Bayes
Authors: Arfan Ibnu Soffi , Fauziah Sifa , Nawangsih Ismasari
Published: December 2024

X adalah salah satu media sosial paling populer di dunia penggunanya bisa menuangkan isi fikiran ke publik dan cepat mendapatkan informasi dan tanggapan dari berbagai sudut pandang. Disamping saking banyaknya sisi positif dari x ini pasti tidak luput dari sisi negatifnya, salah satunya Cyberbullying di sosial media ini. Cyberbullying sendiri termasuk tindakan pidana dan pelakunya dapat ditindak sesuai Undang-undang yang berlaku. Maka dari itu penelitian analisis sentimen terhadap Cyberbullying pada media sosisal x untuk mengklasifikasikan tweet dan komentar yang bermuatan negatif dan positif menggunakan metode dan Naïve Bayes classifier Data masukan pada analisis ini berupa tweet yang diperoleh dari open data untuk di analisis untuk mencari potensi terjadinya tindakan Cyberbullying. Output pada penelitian ini berupa klasifikasi sentimen Cyberbullying yang telah melewati preprocessing. Dari hasil pengujian diperoleh akurasi menggunakan metode Naïve Bayes sebesar 86% menghasilkan pembuktian untuk topik Cyberbullying, sehingga algoritma tersebut dapat diterapkan untuk klasifikasi analisis sentimen pada data yang lain.
Spam Detection in YouTube Comments Using Deep Learning Models: A Comparative Study of MLP, CNN, LSTM, BiLSTM, GRU, and Attention Mechanisms
Authors: Airlangga Gregorius
Published: December 2024

This study explores the effectiveness of various deep learning models for detecting spam in YouTube comments. Six models were evaluated: Multilayer Perceptron (MLP), Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM), Bidirectional LSTM (BiLSTM), Gated Recurrent Unit (GRU), and Attention mechanisms. The dataset consists of 1,956 real comments extracted from popular YouTube videos, representing both spam and legitimate messages. The preprocessing phase involved tokenization and padding of text sequences to prepare them for model input. Results reveal that the LSTM model achieved the highest test accuracy of 95.65%, outperforming other models by capturing sequential dependencies and context within comments. The CNN model also demonstrated high accuracy, underscoring the importance of local pattern recognition in text classification. While BiLSTM and Attention models offered comparable performance, their marginal improvement over LSTM indicates that sequential modeling plays a crucial role in this task. The GRU model, despite being computationally efficient, showed slightly lower accuracy compared to LSTM and BiLSTM. The MLP model, serving as a baseline, exhibited limited performance, emphasizing the need for advanced architectures in spam detection. These findings suggest that combining sequential modeling with local feature extraction could lead to more robust spam detection systems.
Analisis Sentimen Terhadap Kinerja Program Walikota Medan pada Media Sosial X Menggunakan Support Vector Machine
Authors: Sari Desliana , Kurniawan Rakhmat
Published: December 2024

Kepemimpinan adalah proses dan seni dalam menciptakan interaksi yang mempengaruhi para pengikut untuk mencapai tujuan yang telah ditetapkan. Kepemimpinan penting untuk menciptakan keteraturan dan kesesuaian antara pemimpin dan pengikutnya. Penelitian ini mengangkat tentang kinerja Walikota Medan yaitu bapak Muhammad Bobby Afif Nasution, S.E., M.M. Terdapat 5 program prioritas Walikota Medan yaitu Bidang Kesehatan, Penanganan Infrastruktur, Penanganan Banjir, Kebersihan, dan Pembenahan Kawasan Heritage sekaligus Pemberdayaan UMKM. Penerapan teknik Support Vector Machine (SVM) bertujuan untuk menemukan fungsi pemisah yang paling optimal di antara berbagai fungsi yang ada guna membedakan dua jenis objek. Analisis sentimen atau opinion mining adalah proses otomatis untuk memahami, mengekstrak, dan memproses data tekstual guna memperoleh informasi tentang sentimen yang terkandung dalam kalimat opini. Hasil dari penelitian ini menunjukkan bahwa SVM mampu mencapai tingkat akurasi yang sangat baik dalam mengolah data sentimen, sehingga dapat membantu mahasiswa dan penulis dalam menganalisis pandangan publik terhadap aplikasi ini. Analisis sentimen terhadap data pada aplikasi X mengenai kinerja program Walikota Medan dapat dilakukan menggunakan metode Support Vector Machine dengan accuracy 81 %, precission 84%, recall 90% dan f1-score 87%.
Rekomendasi Ukuran Baju Dewasa Menggunakan Algoritma K-Nearest Neighbor dan Support Vector Machine
Authors: Mumtazah Binta Bailina , Sancoko Sulistyo Dwi
Published: December 2024

Kemunculan platform toko online telah mengubah cara masyarakat berbelanja, termasuk dalam pembelian pakaian. Kendati menawarkan kemudahan dan aksesibilitas, berbelanja pakaian secara online seringkali menghadirkan masalah ketidakcocokan ukuran, yang menyebabkan ketidaknyamanan bagi konsumen. Untuk mengatasi masalah tersebut, penelitian ini mengembangkan sistem rekomendasi ukuran baju menggunakan atribut meliputi jenis kelamin, bentuk badan, tinggi badan, berat badan, dan lingkar dada. Sistem ini menggunakan dua algoritma, yaitu K-Nearest Neighbor (KNN) dan Support Vector Machine (SVM), yang dievaluasi untuk menentukan performa terbaik dalam memberikan rekomendasi ukuran. Hasil eksperimen menunjukkan bahwa metode SVM dengan kernel RBF dan pendekatan One-vs-Rest pada proporsi data 80:20 memberikan akurasi tertinggi sebesar 76%, presisi 78%, recall 76%, dan F1 score 76%, sehingga terpilih sebagai model yang diimplementasikan pada website rekomendasi. Pengujian fungsional pada website dengan metode black box testing menunjukkan bahwa sistem telah memenuhi seluruh persyaratan, termasuk registrasi, login, input data, rekomendasi ukuran, dan logout. Keseluruhan hasil penelitian ini menunjukkan bahwa algoritma SVM memiliki performa lebih unggul dibandingkan KNN dalam klasifikasi ukuran baju, serta memastikan keandalan fungsional sistem dalam memberikan rekomendasi yang sesuai bagi pengguna
Effectiveness of Virtual Account Integrated Academic Information System for Increased Educational Efficiency and Transparency
Authors: Nur Fauziah , Akbar Muhammad Caesar , Sukarwoto Sukarwoto , Ulfa Sylvia
Published: December 2024

Academic information system (SIAKAD) plays an important role in the management of educational data in higher education institutions. This study aims to evaluate the effectiveness of an academic information system integrated with virtual accounts at Medan Aviation Polytechnic, in order to improve efficiency and transparency in financial management. This research uses R&D (Research & Development) method with waterfall software development model. Data was collected through observation, interviews, questionnaires, and documentation. Observations were conducted to understand the data processing process, while interviews and questionnaires were used to obtain input from the study program admin and academic admin. The results showed that the integrated academic information system has functioned well. Features such as KRS filling, transcript printing, and payment confirmation can be accessed by various users, including university admins, study program admins, lecturers, and students. Users reported increased efficiency in managing academic and financial data. The implementation of SIAKAD integrated with virtual accounts provides significant benefits in terms of transparency and reduction of human error in data processing. The system facilitates real-time access to information, which is essential for informed decision-making in education management. This study concludes that the implementation of SIAKAD integrated with virtual accounts is effective in improving the efficiency and transparency of academic and financial data management at Politeknik Penerbangan Medan. Recommendations for further development include enhancing system features to support diverse user needs.
Web Based Dashboard of Airplane Turbulence Mitigation
Authors: Ghozali Ahmad Lubis , Kuresih Kuresih , Cahyanto Kurnia Adi , Iryanto Iryanto , Gernowo Rahmat
Published: December 2024

Airplane accidents still occur frequently, one of which is caused by turbulence. To minimize the risk, an effective forecasting system is needed. This research focuses on developing a web-based dashboard for aircraft turbulence mitigation by considering factors such as convective cloud growth, Richardson number index, and wind shear. The dashboard was developed through four steps: requirement analysis, design, implementation, and verification. The Richardson number index (Ri) is calculated using a formula involving temperature and wind speed at different geopotential heights. Alert status is determined based on Ri values and other parameters, with three alert levels: 'Alert 1', 'Alert 2' and 'Alert 3'. The system provides alerts based on user input. If the cloud cover is less than 50%, the “Alert 1” status is displayed; if Ri < 0.25, the “Alert 2” status appears; and if the wind shear exceeds the threshold, the “Alert 3” status indicates that flights are prohibited. Pilot tests show that the system works well and the Ri calculation results are comparable to existing Richardson calculators. The dashboard allows users to access critical information related to turbulence and flight status in real-time, thereby improving flight safety. Timely alerts help in flight-related decision making. This research successfully developed a web-based dashboard for aircraft turbulence mitigation that works well. By monitoring convective cloud growth, Richardson number index, and wind shear, the system is able to provide relevant alerts to improve flight safety.
Implementasi Metode Rantai Kata dalam Meningkatkan Kosakata pada Siswa Madrasah Aliyah Negeri Palopo (Pengabdian kepada Masyarakat berbasis Pendidikan)
Authors: Saputra Tri Endar Yogi Setiadi , Syamsuddin Syachrir , Ramadani Evan Pramesti C , Syawal Muhammad Awaluddin
Published: December 2024

Bahasa Inggris merupakan salah satu komponen pengetahuan yang saat ini sudah harus dikuasai secara lengkap oleh siswa disemua kalangan. Tak terkecuali oleh siswa di tingkat Sekolah Menengah, Kejuruan atau Madrasah. Yang dimana dalam tingkatan tersebut mereka akan memutuskan apakah akan melanjutkan pendidikan atau langsung bekerja. Jika mereka memutuskan untuk melanjutkan pendidikan salah satu aspek yang harus dilakukan oleh para siswa dalam meningkatkan kemampuan Bahasa Inggris mereka adalah dengan meningkatkan kemampuan kosakata mereka. Sebagaimana yang diketahui bahwa kosakata merupakan bagian yang paling penting dalam Bahasa Inggris. Tanpa memiliki kosakata yang memadai mereka akan kesulitan dalam menguasai Bahasa Inggris khususnya berkomunikasi dengan menggunakan Bahasa Inggris. Oleh sebab itu sangat diperlukan adanya metode atau strategi yang tepat agar kosakata mereka dapat dikuasai dengan mudan dan cepat. Metode rantai kata adalah salah satu metode atau strategi yang ditawarkan oleh tim Pengabdian kepada Masyarakat dari Universitas Mega Buana Palopo. Tim pengabdian ini akan melaksanakan semacam workshop atau pemberian materi bagaimana pengaplikasian rantai kata sehingga nantinya siswa akan dengan mudan menghasilkan dan menguasai kosakata dalam Bahasa Inggris. Dengan demikian jika mereka telah mudah dalam menghasilkan kosakata tentu akan sangat bermanfaat bagi mereka dalam mengauasai dan tentunya berkomunikasi dengan menggunakan Bahasa Inggris.
The Role of Expressive Arts Therapy in Integrating Mind-Body Approaches in Medicine
Authors:   Faculty of Education, Kampala International University, Uganda, Samuel J. Kakungulu
Published: December 2024

Expressive Arts Therapy (EAT) integrates artistic modalities such as music, dance, visual arts, and literature into medical practices to foster holistic healing by bridging the connection between mind and body. Rooted in interdisciplinary frameworks, EAT draws on historical, cultural, and contemporary understandings of art’s therapeutic potential. This paper examines the interconnected roles of EAT and mind-body medicine in addressing emotional and physical health, reviews its clinical applications across medical specialties, and highlights its profound benefits in improving resilience, emotional processing, and physical recovery. The discussion also emphasizes ethical considerations, cultural sensitivity, and evidence-based practices in implementing EAT effectively in medical settings, underscoring its transformative impact on patient care and medical paradigms.

Keywords: Expressive Arts Therapy, Mind-Body Medicine, Holistic Healing, Psychosomatic Health, Emotional Resilience.
Evaluation of access to established coping mechanisms against poverty-induced child violence in Mpigi District, Ugand
Authors:   Department of Applied Psychology Kampala International University P. O. Box 20000 Kampala, Lilian Nabakooza , Mugisha Samuel ,   Department of Applied Psychology Kampala International University P. O. Box 20000 Kampala
Published: December 2024

This study explored access to coping strategies against poverty-induced violence among children living in impoverished conditions in Mpigi District. Data were collected through self-administered questionnaires and documentary analysis. A total of 109 participants consented to take part in the study. Results revealed a high incidence of violence against children, with respondents acknowledging various forms of abuse, including physical (hitting/slapping), psychological (verbal abuse), sexual (assault and rape), and economic (withholding resources) violence. Children from economically disadvantaged households were particularly vulnerable to these abuses. Specifically, 46.2% of participants agreed, and 12.8% strongly agreed, that children experience physical violence within their homes. Moreover, 51.3% agreed, and 15.4% strongly agreed, that children face psychological violence in domestic settings. Notably, 33.3% of participants agreed, and 23.1% strongly agreed, that children endure sexual violence, while 38.5% agreed, and 30.8% strongly agreed, that children experience economic violence, including the withholding of financial resources. These findings highlight an urgent need for comprehensive strategies to protect children from sexual exploitation and to support survivors. Addressing sexual violence is crucial for safeguarding children’s rights and promoting their overall well-being. The study also revealed the extent of economic violence faced by children in impoverished households in Mpigi District, suggesting that such violence perpetuates cycles of poverty and vulnerability by denying children access to basic needs and increasing the risk of child labor. Tackling economic violence is essential for ensuring that children’s fundamental needs are met and for reducing child labor rates. Identified coping mechanisms included seeking social support from family and friends (56.4%), utilizing formal support and legal services (69.3%), accessing public recreational facilities (69.3%), engaging in income-generating activities (65.9%), participating in community-based groups (23.1%), and seeking professional help (15.4%). This study underscores the barriers marginalized populations face in accessing formal support services and highlights the need for culturally sensitive and accessible mental health resources. Addressing psychological violence is vital for promoting children’s mental health and preventing long-term emotional harm.

Keywords: Poverty-induced violence, Coping strategies, Economic violence, Child abuse, Social support, Mental health resources
Appraisal of the use of Mediation and Negotiation in Conflict Resolution during Armed Conflicts in East Africa
Authors:   Department, Post-Graduate and Diploma, Kampala International University, Kampala, Uganda., Owoche Anta Godswill i , Ashibi Jacob Eneji ,   Deputy Vice Chancellor (Academic Affairs) Kampala International University, Ogu Lorrita ,   Faculty of Law, University of Calabar, Nigeria., Iheanacho Linda ,   Faculty of Law, University of Calabar, Nigeria., Okpong Dennis Edet ,   Lieutenant and Legal Officer with the Nigerian Navy
Published: December 2024

This research appraises the use of mediation and negotiations during armed conflicts in East Africa, focusing on some key case studies like South Sudan, Somalia, and Northern Uganda. Attention is paid to how regional and international actors have been significant facilitators of peace processes, involving the African Union, Intergovernmental Authority on Development, and the United Nations. The doctrinal approach to research was undertaken to understand the successes and setbacks of these efforts, address practical challenges pertaining to cultural, political, and logistical barriers, and analyze power dynamics and processes of trust-building during mediation and negotiation. While mediation has indeed been instrumental in brokering peace agreements, many challenges persist, such as the influence of external actors on peace processes and the sustainability of the outcomes. By taking a nuanced approach to understanding how mediation and negotiation can best be developed and leveraged in East Africa’s conflict landscape. It provides practical recommendations on how to enhance the capacity of local mediators, improve coordination among external actors, and ensure the sustainability of peace agreements. This study contributes to the academic discourse of conflict resolution and policy development and imparts valuable information to scholars and policymakers alike on current dynamics in armed conflict in East Africa and what that may mean for international peace building efforts in the years ahead.

Keywords: Mediation, Negotiation, East-Africa, Peace Agreement, Peace Building
Wealth Effects of Change in Infant Mortality Rate in India and its major states: A Decomposition Analysis
Authors: Singh Anuj
Published: December 2024

A newborn's first 28 days of life and their survival for a year present a crucial window of opportunity for management and prevention of the condition, which could otherwise be fatal. Eventhough, India has made great strides towards reducing child death (UN-IGME-child mortality report, 2015), the country is still far from reaching the SDG goal of reducing child mortality. In India, a household's financial situation may have a significant impact on infant mortality rates. The National Family Health Survey rounds-3 and 5 are taken into account for the analysis in this study. Further, decomposition analysis has been implemented in the present study. According to the decomposition analysis, there are four reasons why the infant mortality rate changes: (1) because of the change in the infant mortality rate; (2) because of the change in married couples' fertility women; (3) as a result of changes in the proportion of married women now and (4) in other variables influencing the rates of infant mortality rates in various wealth indices between NFHS-3 and NFHS-5. . KEYWORDS :Infant mortality rate, Wealth-indices, Decomposition analysis, National family health survey (NFHS).
Empirical Likelihood Ratio Based K-Nearest Neighbours Regression
Authors: Sukshitha R. , Satyanarayana Satyanarayana
Published: December 2024

Regression models play a pivotal role in real-life applications by enabling the analysis and prediction of continuous outcomes. Among these, the k-Nearest Neighbours (KNN) model stands out as a significant advancement in machine learning. KNN's ability to make predictions based on the proximity of data points has found wide-ranging applications in various fields. However, the traditional KNN regression model has its limitations, including sensitivity to noise and an uneven distribution of neighbours. In response, this paper introduces a novel approach: an empirical likelihood ratio (ELR) based regression algorithm. The ELR technique offers distinct advantages over distance-based nearest neighbour computations, particularly in handling skewed data distributions and minimizing the impact of outliers. The proposed ELRbased KNN regression model is rigorously assessed through both simulation studies and real-life scenarios. The results explicitly demonstrate the enhanced performance of the ELR-based approach over the conventional KNN model. This research contributes to a deeper understanding of regression techniques and underscores the practical significance of leveraging empirical likelihood ratios in refining predictive models for real-world applications.. KEYWORDS :Regression model, k-Nearest neighbours, Empirical likelihood ratio, Distance measures, Data distributions.
A New Modified Estimator for Population Mean using Auxiliary Character and Attribute in Double Sampling
Authors: Kumar Kamlesh , Kumar Sunit , Kumar Sanjay
Published: December 2024

In sample surveys, when information on two auxiliary characters is available, several authors prefer chain-type estimators to improve the performance of estimators of the population mean. These authors have assumed that the information (population mean, total, etc.) on the first auxiliary or auxiliary character is not available but on the second or additional auxiliary character. However, there are instances where the latter and former may also be unavailable. In such cases, we have suggested a novel modified regression-type estimator that uses the data from the auxiliary character and the auxiliary attribute in double sampling to estimate the population mean. We have derived the expressions for bias and mean square error of the suggested estimator using the large sample approximation. After mathematical comparisons, we have obtained mathematical conditions under which the suggested estimator has lower mean square error than the existing estimators. Further, we supported these theoretical comparisons using a numerical analysis with a real-life dataset.. KEYWORDS :Bias, Double sampling, Mean square error, Auxiliary attribute, Auxiliary character.
High Efficiency Irrigation System and Socio-Economic Development for the Farmers of Pakistan
Authors: Yaqoob Muhammad Akram , Zia Zartashia , Mehmood Qaisar , Riaz Muhammad , Yaqoob Muhammad Majid
Published: December 2024

This study examine the factors in the adoption of high-efficiency irrigation system (HEIS) for socio-economic development in southern Punjab, Pakistan. Multi-stage sampling is used to select the sample of 400 farmers (200 HEIS adopters and 200 non-adopters) from major districts of south Punjab. The results demonstrated that determinants including average landholding, age, education and awareness of HEIS all had a significant impact on the adoption of HEIS. The adoption rate of HEIS was also found to be impacted by energy crises, operational and maintenance issues, high installation prices and a lack of experienced employees. A higher proportion of participants strongly believed that HEIS might increase agricultural productivity while simultaneously saving water for future use. Additionally, respondents believed that shifting HEIS to high-value crops improves social status, particularly in rural areas. BCR values for wheat, guava and citrus using SI and DI were found to be larger than 1. The SI system NPV values for the wheat crop ranged from Rs. 248034 to Rs. 463191. Similarly, the results are consistent for DI for guava and citrus orchards (BCR > 1 and NPV positive values demonstrate that HEIS project is more economically feasible and viable than TI). Moreover, the benefit-cost ratio demonstrated that, when compared to conventional irrigated growers, the yield and net benefit due to HEIS of a variety of crops, including citrus, wheat, and guava, improved significantly to 48.48%, 70%, 44.83%, 102%, 178% and 107%, respectively. Water productivity of HEIS-irrigated wheat, guava and citrus were calculated as 1.2, 2.6 and 2.5 kg/m3, respectively and increased highly significantly than TI. The findings suggested that government initiatives should focus to enhance adoption rate of HEIS. This could be accomplished by providing modest subsidized HEIS and imparting awareness to farmers about the socioeconomic benefits of HEIS.. KEYWORDS :Agriculture, Cost-benefit, HEIS, Socio-economic development, Sustainable, Water productivity, NPV.
Trend Analysis on Prices of Sunflower in Andhra Pradesh- A Time Series Approach
Authors: Balaji Ch Ch V.D. , Ramesh D. , Rao V. Srinivasa , Reddy G. Raghunadha
Published: December 2024

The present study made an attempt to forecast the sunflower prices in Adoni, Kurnool and Yemmiganur markets of Andhra Pradesh by using the secondary time series data for a period of 147 months with an interval ranging from Jan 2011 to Apr 2023. For this study various Growth models (linear, Cubic, Quadratic, Exponential and power models) and time series models (ARIMA and GARCH) and Hybrid Times series models were applied. On consideration of the selected diagnostic criterion like R2, RMSE and MAPE, it resulted that Hybrid time series models outperformed among the selected models for all the three selected markets. Finally, the prices of sunflower in Adoni, Kurnool and Yemmiganur market were forecasted by ARIMA(1,1,1)-GARCH(1,1), ARIMA(2,1,1)-GARCH(1,1) and ARIMA(2,1,2)-GARCH(1,1) models respectively and prices of for the month of April 2024 were estimated as 5527.7 (Rs. /Q.), 5819.70(Rs. /Q.) and 5395.04 (Rs. /Q.).. KEYWORDS :Price, Model, Sunflower, Forecast.
Linear Mixed Model Effects in Meta Analysis of Agricultural Data
Authors: Jerome Kanyama Busanga , Peter Njuho
Published: December 2024

This paper proposes a suitable approach to analyze agricultural data by fitting a linear mixed model in a metaanalysis (MA) framework. We develop an underlying theory that provides practical information on how to carry out the analysis in the MA by using the Maximum Likelihood Estimate (MLE) method to estimate the parameters in the model without requiring an assumption about a specific form of the population distribution. Past studies in the MA assumed of independence and normality of the data, but this is not always the case. The concept of log-likelihood approach enables us to estimate the parameters of interests through the process of log-odds ratio in the MA. There is a need for a mechanism of testing the past studies to find a good estimate of a parameter of interest in the absence of assumptions. This mechanism of transformation in the analysis is based on the accuracy of the estimate parameter from the dataset. An illustrative example on maize grain yield is used to determine whether the efficacy of using fertiliser given that the irrigation was used in the experiment to compare to the efficacy of fertiliser application under the rainfall.. KEYWORDS :Fixed effect model, Random effect model, Log-Odds ratio, Meta analysis, Maximum likelihood estimate.
Construction of Sliced Orthogonal Latin Hypercube Designs with Flexible Run Size
Authors: Dash Sukanta , Kumar A. Anil , Mandal Baidya Nath
Published: December 2024

Latin hypercube designs (LHDs) are commonly used in designing complex computer models. With the added property of orthogonality, a special type of orthogonal Latin hypercube designs called Sliced Orthogonal Latin Hypercube Designs (SOLHD) are now a days gaining much importance in the field of computer experiments. SOLHD are a special type of OLHDs that can be further partitioned into different slices and act as batches of smaller orthogonal Latin hypercube designs. In this article, we have proposed methods of construction for Sliced orthogonal Latin hypercube designs of equal as well as unequal batch size. The proposed methods are for obtaining SOLHD with two or three slices. . KEYWORDS :Computer experiments, Orthogonality, Orthogonal Latin hypercube designs, Sliced orthogonal Latin hypercube designs.
Uniform Mixture Design in Ellipsoidal Region for Unconstrained Mixture Experiments
Authors: Singh Poonam , Shukla Himanshu
Published: December 2024

The versatile ability, flexibility, and ease of adaptability of uniform mixture designs makes it useful in various fields such as industrial, pharmaceutical and chemical sciences. In product formulation and process optimization, mixture experiments have emerged as a very useful response surface approach. Different experimental regions provide designs with different space filling property. This paper attempts to obtain uniform mixture designs in ellipsoidal region. The method is illustrated for 3-, 4- and 5-dimensional ellipsoidal region. Designs for 3, 4 and 5 component mixtures are obtained by using the proposed transformation and the uniformly scattered designs are selected on the basis of DM2-discrepancy.. KEYWORDS :Mixture experiments, Uniform mixture design, Ellipsoidal region, DM2-discrepancy.
An Enhanced Exponential Dual to Ratio-cum-Product Type Estimator of Population mean under Stratified Random Sampling
Authors: Sharma Richa , Singh Lakhan , Yadav Subhash Kumar , Kumar Surendra
Published: December 2024

This article investigates an exponential estimator in dual form for the population mean in stratified random sampling using two auxiliary variates that are modified from the ratio-cum-product type estimators. The formulae for bias and mean squared error (MSE) have been determined for the suggested stratified random sample estimator. Additionally, in a stratified sample scheme, the propounded estimator has been practically and conceptually compared to current ones. It is proven that the improved estimator that has been presented is more effective than all other competing population mean estimators. . KEYWORDS :Ratio-cum-Product estimator, Stratified sample scheme, Population mean, Mean squared error, Bias.
Construction of Structurally Incomplete Row-Column Designs with Pairwise Balance and/or Variance Balance Property
Authors: Manjunatha B. , Parsad Rajender , Mandal B.N. , Dash Sukanta , Vinayaka Vinayaka
Published: December 2024

In this paper, construction methods of Structurally Incomplete Row-Column (SIRC) designs and a specific subset within this category called Balanced Incomplete Latin Square (BILS) designs (The treatments, rows, and columns all have an equal number), which satisfy the property of Pairwise balance (PB) and /or Variance Balance (VB) are presented. PB and/or VB SIRC/ BILS designs have been derived by employing symmetric BIB designs, combining two VB SIRC/BILS designs, and introducing treatments into pre-existing VB SIRC designs. For a ready reckoner, the catalogue of PB and/or VB SIRC/BILS designs that are obtainable from methods of construction for v (total treatments count), b1 (total rows count), b2 (total columns count), k1 (total count of non-empty nodes in rows) and k2 (total count of non-empty nodes in columns) have been prepared for v, b1, b2, k1, k2 .. 15.. KEYWORDS :Structurally incomplete row-column designs, Balanced Incomplete Latin Square designs, Pairwise balance, Variance balance.
Beyond Uncertainty: Exploring Demographic Drivers of Sharia Insurance Adoption in Indonesia
Authors: Gunawan Gugun , Juhadi Juhadi , Mutiah Ridla
Published: December 2024

This research is motivated by the fact that human life is inevitably exposed to various risks, both economic risks such as business bankruptcy, fires, and losses, as well as personal risks such as accidents, illnesses, and even death. Although death is certain, the exact time of its occurrence is unknown. The purpose of this research is to determine the impact of demographic factors on the growth of Sharia insurance in Indonesia. This study employs a qualitative research method. The results show that insurance companies, as non-bank financial institutions engaged in risk coverage, are one of the pillars of the national economy. This is due to their ability to accept risk transfers from the public and their role in absorbing and accumulating public funds.
Mapping the Regional Development Disparities in Western Indonesia: An Integrative Approach of Williamson Index and Klassen Typology
Authors: Nopiah Ririn , Barika Barika , Septriani Septriani
Published: December 2024

Disparities is one of the problems of economic development in developing countries. The Western Region of Indonesia tends to contribute to high economic growth but is accompanied by the problem of regional disparities which is also relatively high. Efforts to reduce regional disparities are aimed at accelerating equitable development. This study examines the development of inter-regional disparities mapping through the Klassen typology method, measuring disparities with the Williamson index in the Western Region of Indonesia in 2021-2023. The results show that most regions are still in the relatively underdeveloped and less developed category and the average regional disparities index is at moderate disparities, namely 0.465. This study provides suggestions to prioritize development based on regional equality, especially areas that are still underdeveloped.
Introduction to GeoGebra (MSU UG Syllabus Text Material)
Authors: Rama Mrs. G.
Published: December 2024

Syllabus

Unit I: Installation and Introduction of GeoGebra – Drawing Versus Geometric Construction.

Unit II: Practice Block I- Basic Algebraic Input, Commands and Functions.

Unit III: Export of Pictures to the Clipboard-Practice Block-II-Inverting Pictures into the Graphics View.

Unit IV: Inserting Text into the Graphics view-Practice Block III

Unit V: Constructing Spread sheet View& Graphics View- Creating Static Instruction Materials- Creating Dynamic Worksheets.
Operations and Supply Chain Management
Authors: Mangaonkar Dr. Mahesh
Published: December 2024

In today’s fast-paced and interconnected business environment, operations and supply chain management play a critical role in driving organizational success. This book aims to provide students, practitioners, and managers with a comprehensive understanding of the concepts, techniques, and best practices in operations and supply chain management.
Paula Escarameia
Authors: Domingues Vanessa
Published: December 2024

Paula Ventura de Carvalho Escarameia’s legacy extends beyond classical legal achievements. With a diversified career over decades that got cut short way too soon at the age of fifty, she’s earned global acclaim for her expertise in public international law, especially concerning the situation in East Timor. She believed that public international law was no rigid construct but could and should be changed especially in the areas of self-determination and the protection of human rights – ultimately contributing to the establishment of the International Criminal Court.
ANALYSIS OF FACTORS THAT INFLUENCE EMPLOYEE PERFORMANCE AT EVENT ORGANIZERS IN MATARAM CITY
Authors: Wira Moh. Pandu Wira Bakti
Published: December 2024

Penelitian ini bertujuan untuk menganalisis pengaruh motivasi, kompensasi, dan lingkungan kerja terhadap kinerja karyawan pada Event Organizer di Kota Mataram. Jenis penelitian ini bersifat deskriptif kuantitatif. Pengujian dilakukan pada 35 responden yang tersebar di Kota Mataram. Data didapatkan dengan metode wawancara yang bisa dilakukan secara langsung (personal interview) maupun tidak langsung (via telepon atau Whatsapp). Selain dengan metode wawancara, pengumpulan data ini juga dilakukan dengan menyebarkan kuesioner kepada responden. Alat analisis yang digunakan adalah Regresi Linier Berganda, Uji Koefisien Determinasi (R2), Uji T, dan Uji Simultan (Uji F).
Hasil analisis menunjukkan bahwa variabel pengaruh motivasi, lingkungan kerja dan kompensasi secara bersama-sama atau simultan berpengaruh terhadap kinerja karyawan pada Event Organizer di Kota Mataram. Dengan nilai signifikan sebesar 0,000, sedangkan nilai Koefisien Determinasi (R²) sebesar 0,517 (51,7%) artinya semua variabel independen mempengaruhi variabel dependen sebesar 51,7%. Sedangkan sisanya 48,3% di jelaskan oleh variabel di luar model.
PENGARUH PENANAMAN MODAL ASING (PMA), PENANAMAN MODAL DALAM NEGERI (PMDN) DAN INFLASI TERHADAP PENERIMAAN PAJAK DI INDONESIA TAHUN 2014-2023
Authors: Setyanto Alief , Sari Meylika Juwita , Anastasya Sari
Published: December 2024

taxes are an important component of a country's wealth and monetary level, enabling the country to produce output in the form of state revenue. The study aims to determine the effect between foreign investment, domestic investment and inflation on tax revenue in Indonesia. This study was conducted with the aim of knowing what factors can affect tax revenue in Indonesia, which is also the main source of tax revenue in Indonesia. This study uses quantitative methods with an associative approach while the analysis method used is multiple linear regression analysis. The results obtained from this study are that tax revenue in Indonesia is negatively affected by the variables of foreign investment, domestic investment and inflation.
PERAN EDUKASI DAN LITERASI KEUANGAN DALAM MENINGKATKAN PARTISIPASI MASYARAKAT PADA PASAR MODAL SYARIAH DI INDONESIA
Authors: Rahmadewi Riska , Febriansah Dodi , Khalifah Sulaiman Nur , Malik Anas
Published: December 2024

Pasar modal syariah di Indonesia memiliki potensi besar dalam mendukung ekonomi berbasis syariah yang inklusif dan berkelanjutan, namun tingkat partisipasi masyarakat masih rendah dibandingkan pasar modal konvensional. Penelitian ini bertujuan untuk menganalisis peran edukasi dan literasi keuangan dalam meningkatkan partisipasi masyarakat di pasar modal syariah. Penelitian ini menggunakan metode kualitatif dengan pendekatan studi literatur (library research) dengan data dari Survei Nasional Literasi dan Inklusi Keuangan (SNLIK) 2023 dan laporan Bursa Efek Indonesia (BEI). Hasil penelitian menunjukkan bahwa tingkat literasi keuangan syariah masyarakat Indonesia hanya 39,11%, lebih rendah dari literasi keuangan konvensional sebesar 65,43%. Faktor-faktor seperti keterbatasan akses informasi, rendahnya edukasi formal, dan minimnya pemahaman investasi syariah menjadi kendala utama. Dan program edukasi seperti Yuk Nabung Saham (YNS) terbukti efektif dalam meningkatkan literasi dan inklusi keuangan. Partisipasi masyarakat di pasar modal syariah terus tumbuh dengan jumlah investor mencapai 144.813 pada tahun 2024, meningkat lebih dari 225% sejak 2018. Sehingga penelitian ini menyimpulkan bahwa literasi dan edukasi keuangan berperan penting dalam meningkatkan partisipasi masyarakat di pasar modal syariah. Diperlukan strategi komprehensif dari berbagai pihak untuk memperkuat literasi keuangan, memperluas akses informasi, dan membangun kepercayaan terhadap produk syariah.
Psikoedukasi Dan Teknik Relaksasi Breathing Exercise Sebagai Keterampilan Remaja Dalam Regulasi Emosi
Authors: Syaharani Nabila Dhita , Anjani Nafadhilla Refie , Kurniawan Ladya Ghaisani , Aini Dewi Khurun
Published: December 2024

Regulasi emosi adalah sebuah proses aktif untuk mengubah pengalaman dan ekspresi emosi. regulasi emosi dapat mempengaruhi pengalaman dan perilaku individu. Tujuan dari penelitian ini yaitu untuk meningkatkan pemahaman remaja mengenai regulasi emosi dengan memperkenalkan teknik-teknik regulasi emosi seperti relaksasi dengan pendekatan mindfulness kepada anggota Karang Taruna Permata Desa Mangkang. Penelitian ini menggunakan metode pendekatan Community Based Research (CBR). Hasil dari kegiatan ini menunjukkan adanta peningkatan pemahaman mengenai regulasi emosi dan Teknik-teknik regulasi emosi.