bluuebunny/crossref_metadata_2025 huggingface dataset:
Technique for Segmentation and Selection of Biomedical Images
Authors: Kuklin Vladimir Zh. , Chervyakov Leonid M. , Ruslantsev Andrei N. , Aslanov Tagirbek G.
Published: January 2025

Various research fields, such as biology and medicine, have increasingly used techniques for the machine estimation of generated pulses. For example, in biological medicine, classifying information makes it possible to automate the interpretation of incoming data obtained owing to diagnosis, which is necessary when processing large volumes of information arrays. This study aims to develop algorithms that enable the selection of single-type objects in images with subsequent image splitting into a set list of segments with heterogeneous tension, even when the number of reference images is very small. Analysis of existing algorithms allowed us to determine the focus area for developing and improving the efficiency of the algorithms. The existing algorithms show poor performance results in analyzing the dark parts of images, so it makes sense to develop an algorithm for image intensity normalization. The developed algorithm simplifies the procedure of partitioning the training base for the classifier owing to the use of the feature vectors. A random forest algorithm was used for image classification, followed by boundary refinement using a Markov field. The image-splitting algorithm precisely separates parts of the brain structure by applying a Markov field to refine classification results. The proposed classification algorithm showed strong results in comparison with existing algorithms, particularly in the comparison of the Dice criterion. The proposed method shows an average increase of 10% in classification accuracy. One way to improve the presented algorithm is to add texture elements to the feature vector, which allows the identification of distinguishing features of the elements, such as shape and length, which could improve this algorithm for a more accurate classification of substructures. Doi: 10.28991/HEF-2024-05-04-011 Full Text: PDF
The Ramifications of Poor Communication in Construction Projects: Unraveling Complex Litigation and Arbitration
Authors: Fahad Malik , Mohamad Habib M. , Sulaiman Muhd F. , Suro Sajiharjo M.
Published: January 2025

The construction industry is known for its complex and diverse nature, involving several stakeholders. Effective communication plays a vital role in ensuring that everyone involved understands the project goals, schedules, and expectations. However, communication breakdowns can lead to delays, exceeding costs, and disputes that often result in litigation. This study aims to investigate the cause and impact of ineffective communication in construction projects in Sabah, Malaysia, and its contribution to disputes and their frequency to escalate into arbitration or litigation. Utilizing a mixed-methods approach, including a survey questionnaire for construction professionals and supported by a literature analysis, the research reveals challenges and proposes solutions. Leveraging mean and standard deviation, this study quantifies the causes and effects of ineffective communication in construction projects, aiding stakeholder comprehension. Survey results highlight work practice differences as a significant cause (27%) of miscommunication, with 99.12% acknowledging miscommunication issues can lead to disputes. About 82.30% stress the importance of well-defined communication protocols. By identifying issues and proposing mitigation strategies, this study empowers project stakeholders to improve project outcomes and reduces the complexity. Respondents with a good understanding of contract form and acts are slightly well aware of how to handle misunderstandings. Moreover, the research emphasizes the importance of communication tools, well-defined contracts, and collaboration in addressing these communication challenges. Doi: 10.28991/HEF-2024-05-04-012 Full Text: PDF
Classification of Coconut Trees Within Plantations from UAV Images Using Deep Learning with Faster R-CNN and Mask R-CNN
Authors: Worachairungreung Morakot , Kulpanich Nayot , Sae-ngow Pornperm , Thanakunwutthirot Kunyaphat , Anurak Kawinphop , Hemwan Phonpat
Published: January 2025

Agriculture currently serves as a crucial food source for the global population. However, coconut farming, in particular, demands extensive care and maintenance. This research aims to classify coconut trees across various plantation areas utilizing deep learning techniques, specifically through Faster R-CNN and Mask R-CNN models, based on unmanned aerial vehicle (UAV) imagery. The data collected by both types of RGB UAVs was used for the classification of coconut trees in experimental plots. For the analysis process, aerial photographs obtained from unmanned aerial vehicles, merged with the principles of aerial photography measurement, were analyzed. The research findings revealed that both Faster R-CNN and Mask R-CNN were capable of effectively classifying image data. Nevertheless, to achieve higher accuracy in results, it is essential that the characteristics of the test plots closely align with each other. This study points towards the adoption of a high-resolution tool, ensuring clearer images that facilitate more accurate classification of coconut trees across extensive areas. Consequently, this could lead to more efficient management and maintenance of coconut plantations. Thus, this approach can substantially enhance the efficiency of managing coconut plantations. Doi: 10.28991/HEF-2024-05-04-02 Full Text: PDF
Tourism Perceptions and Subjective Well-Being: Insights from GIAHS Sites
Authors: Yang Jie , Huang Shi‑Zheng , Cheablam Onanong
Published: January 2025

The subjective well-being (SWB) of residents serves as a crucial measure of social harmony. This study applied the cognition-affection-behavior theory to investigate how tourism perceptions influence residents’ SWB while also assessing the intermediary roles of emotional solidarity (ES) and resident-tourist value co-creation (RVC). Researchers collected 411 valid survey responses from residents in GIAHS and utilized Structural Equation Modeling path analysis and bootstrapping method to test the proposed hypotheses. The results indicate that benefit perceptions positively impact residents’ SWB, with ES and RVC serving as sequential mediators in this relationship. In GIAHS, improving residents' perception of benefits can foster ES and RVC, creating a connection between residents and tourists and ultimately enhancing residents' SWB. Doi: 10.28991/HEF-2024-05-04-06 Full Text: PDF
Livelihood Vulnerability Index of Resettled Peasants Displaced by Land Acquisition of An Airport
Authors: Sari Embun , Winoto Joyo , Soetarto Endriatmo , Asikin Zaenal , Ayu Sri Fajar , Nauly Meutia
Published: January 2025

This study aims to assess the social impact of land acquisition on relocated farmers who are displaced due to land acquisition. Delays in infrastructure development will have a broad impact. Law Number 2 of 2012 concerning Land Acquisition for Development in the Public Interest addresses the classic problem of infrastructure project development: land acquisition. Eviction due to land acquisition will cause various potential interrelated risks for the affected community, including loss of housing, marginalization, morbidity and mortality problems, and loss of access to collective ownership. This research method uses the Livelihood Vulnerability Index (LVI) approach to assess the response capacity in addressing the risk of change due to the release of agricultural land from external parties, such as the government in the case of land acquisition for Yogyakarta International Airport (YIA). The study results show that the economic and sociological approaches allow the LVI model to reveal the economic, social, and cultural impacts of relocated farmers after 10 years of land acquisition. The value of land compensation must be comparable to the assets taken over in land acquisition. This can be done by increasing response capacity through commercial property ownership, variation in income sources, and job training. Doi: 10.28991/HEF-2024-05-04-07 Full Text: PDF
A CRITICAL STUDY OF THE CONCEPT OF OBEDIENCE IN HAROLD PINTER'S THE DUMB WAITER
Authors: Deka Pranjyoti
Published: January 2025

British playwright Harold Pinter’s The Dumb Waiter was first performed in 1960. The play revolved around the two hitmen, Ben and Gus, who were waiting for the entirety of the play in a windowless, dreary basement room to receive an order from the higher authority for their next target. Both the hitmen had been receiving coded incomprehensible messages and complex food orders through a dumb waiter which might be from their higher-ups. The coded messages never revealed the exact nature of the requirement from the assasins as well as the identity of that night’s target. Ben was experienced, sedate, and professional, while Gus was inquisitive about their tasks. Gus complained about the little space he got from his superiors. He hinted at the disrespect he felt due to the callous dealings of his higher-ups. In fact, he was not ready to accept the class hierarchy. He was also dissatisfied with how their employers considered them meaningless. On the other hand, Ben, the senior hitman, was compliant with his employers and maintained silence regarding the unpleasant nature of his work. His views contradicted Gus, and he advised his junior to accept the class hierarchy. Gus showed his resistance against the authority while Ben remained obedient to his superior authority. The binary of obedience and resistance, as depicted through the characters of Ben and Gus, is a central theme of The Dumb Waiter. This study attempts to examine the theme of obedience in The Dumb Waiter.
भारतीय ज्ञान परंपरा और वैज्ञानिकता
Authors: Rachna
Published: January 2025

भारतीय ज्ञान की यह प्राथमिक विशेषता है कि वह मनुष्य को सर्वश्रेष्ठ प्राणी मानकर विचार ही नहीं करती अपितु वह मनुष्य को इस प्रकृति का अदना सा हिस्सा मानती है । यह कहना अधिक तर्कसंगत होगा की भारतीय ज्ञान परंपरा में मनुष्य सबसे तुच्छ प्राणी है । “वसुन्धरा पर जिस दिन अमृत पुत्र ‘मानव’ ने अपने नेत्र खोले, उसी दिन से उसने अपनेको असहाय पाया। असहाय इस अर्थ में कि उसके पैरों में हिरण के बच्चे के समान दौड़ने की क्षमता न थी; पक्षियों के समान उड़ने के लिए उसे पंख नहीं दिये गये थे; मछलियों के समान तैरने की प्रतिभा उसमें नहीं थी; वह पेड़ पर बन्दरों के समान उछल-कूद भी नहीं सकता था; उसे पक्षियों के समान घोंसले भी बनाने न आता था; मधुमक्खियों को तरह के छत्ते भी वह नहीं बना सकता था; कोयल के समान उसके कण्ठ में स्वर भी न था; वह दीमक और चींटियों से भी अधिक मूढ़ और प्रतिभाहीन था; और ऐसे असहाय वेश में इस पृथ्वी पर मनुष्य का अवतार हुआ । सब प्रकार से हीन इस पार्थिव प्राणी ने अपने नेत्र में देखा और भीतर-ही-भीतर अपने अन्तःकरण में कातरता से अपनी स्थिति को समझने का प्रयत्न किया”1 । पश्चिम इसे सिर के बल देखता है और यही वो ऐतिहासिक भूल है जो पश्चिम को ज्ञान के स्तर पर कंगाल करती है । जो भी परंपरा मनुष्य को श्रेष्ठ मानती है वह वैज्ञानिक उन्नति कर ही नहीं सकती । इसका कारण यह है कि एक श्रेष्ठ वर्ग को प्रकृति द्वारा वह सबकुछ प्राप्त होता है जिसकी उसे आवश्यकता होती है, फिर मानव का उद्विकास मानने वाले विज्ञान या ज्ञान लेकर क्या करेंगे ?
EXPLORING THE MANAGERIAL CHALLENGES IN IMPLEMENTING 'ONE NATION, ONE ELECTION' IN INDIA
Authors: Eranna
Published: January 2025

The concept of "One Nation, One Election" proposes synchronizing elections for the Lok Sabha and State Legislative Assemblies to streamline India's electoral process, potentially reducing financial costs and governance disruptions. However, its implementation faces significant challenges. The paper aims to identify the managerial challenges in implementing ‘One Nation, One Election’ in India. The study is based on secondary information drawn from existing literature, expert opinions, policy reports, and government recommendations to highlight various complexities and proposed solutions. By doing so, this research will contribute to the ongoing discourse on the feasibility and implications of this electoral reform. The study finds that constitutional amendments, particularly Articles 83 and 172 and changes to the Representation of the People Act, pose legal complexities. Logistically, conducting nationwide elections requires substantial resources, and the risk of political instability, especially from mid-term dissolutions, requires contingency planning. Voter behavior and participation could be impacted by confusion and fatigue from simultaneous elections. A phased and strategic approach is essential to ensure success, addressing these challenges while maintaining electoral integrity and federal balance.
IMPACT OF COVID-19 VACCINE ON PEOPLE: A CASE STUDY
Authors: Aggarwal Amrita
Published: January 2025

The research explores the multifaceted impact of COVID-19 vaccines on physical, mental, and social well-being among residents of Mumbai, India. It examines the effectiveness of vaccines in mitigating severe illness and hospitalizations while highlighting the physical side effects and their management. Mental health dynamics are analyzed, emphasizing reduced anxiety and improved perceptions of safety post-vaccination, though some individuals reported persistent stress and concerns. Socially, the study reveals enhanced participation in group activities and improved community resilience, yet notes challenges in addressing misinformation and vaccine hesitancy. A mixed-method approach was employed, combining secondary data and primary survey responses from individuals aged 18-50. The survey captured experiences with physical side effects, emotional changes, and perceptions of vaccine rollout efficiency. Key findings include a high vaccination rate (97.3%) among respondents, with Covishield being the most administered vaccine. Despite minor side effects, most respondents managed them effectively through rest and hydration. Social dynamics shifted positively, with increased confidence in engaging in public and social activities. The study also underscores disparities in vaccine access and the need for targeted communication strategies to counter misinformation. Recommendations emphasize prioritizing mental health through transparent communication, equitable vaccine distribution, and addressing logistical barriers. The study concludes by advocating for a collaborative approach involving governments, healthcare providers, and communities to enhance vaccine acceptance and efficacy, thereby mitigating the pandemic's multifaceted impact.
THE POETICS OF FRAGILITY: AGEING AND CONTINUITY IN SEAMUS HEANEY’S HUMAN CHAIN
Authors: Sameer Ridha , Singh Gulab
Published: January 2025

This study delves into Seamus Heaney’s poetic treatment of ageing, trauma, and continuity within his final collection, Human Chain. Through close analysis of key poems, particularly “Route 110” and “Miracle”, the research highlights how Heaney’s brush with mortality following a stroke informs his reflections on fragility, resilience, and the passage of time. Employing mythological allusions, sensory imagery, and moments of vivid memory, Heaney transforms personal vulnerability into a broader meditation on human existence. “Route 110” explores life’s cyclical nature by retracing formative experiences, while “Miracle” reflects on acts of care and the communal aspects of survival. Together, these poems illustrate Heaney’s ability to intertwine intimate recollections with collective cultural memory, creating a poetics that bridges past and present. This study argues that Heaney’s portrayal of fragility becomes an assertion of continuity and artistic legacy, positioning Human Chain as a testament to the endurance of memory, art, and the human spirit.
ASSESSING THE RELATIONSHIP BETWEEN PUBLIC EXPENDITURE AND HUMAN DEVELOPMENT OUTCOMES IN INDIA
Authors: Nawale (Kadam) Pramodini Balasaheb
Published: January 2025

This study explores the relationship between public expenditure and human development outcomes in India. It examines the extent to which government spending on health, education, and social welfare translates into improved human development indicators such as literacy rates, life expectancy, and poverty reduction. Using a mixed-methods approach, the research analyses data trends over the past two decades, identifies gaps in resource allocation, and highlights regional disparities. The findings underscore the need for enhanced accountability and policy reforms to ensure that public expenditure effectively addresses the socio-economic needs of India's diverse population.
WOMEN ENTREPRENEURS AND GOVERNMENT POLICIES: A PATH TO EMPOWERMENT
Authors: Ritu Kumari  , Singh Vinay Pal
Published: January 2025

Women play a crucial part in Indian culture; nonetheless, their inferior social standing has hindered their ability to fully actualize their entrepreneurial potential. The MSME sector substantially enhances economic growth in India. The Indian economy is asserted to be strengthened by it. It has provided resilience to deal with shocks and adversities associated with the global economy. Approximately twenty percent of Indian MSMEs are situated in rural regions, where they employ almost 40% of the nation's workforce. This paper aims to outline the challenges encountered by Indian female entrepreneurs and to delineate the main factors influencing their growth. The article examines several programs launched by the Ministry of MSME and seeks to determine the necessary actions to enhance women's entrepreneurship in India. It also analyses the available financing sources and the criteria for eligibility to offer financial assistance to Indian women entrepreneurs. It is essential to educate Indian women entrepreneurs on the availability of state and central financial schemes and their funding sources, as well as to provide modest loans or microfinance to women entrepreneurs beginning enterprises in rural and semi-urban areas. The state government and financial institutions will offer development and training programs for educated young women and experienced female entrepreneurs. India is experiencing a significant increase in the population of female entrepreneurs. Consequently, federal and state governments have established financial organizations to support women-owned enterprises. To achieve this goal, they have implemented several programs to alleviate the financial burden on female businesses.
IMPACT OF GOVERNMENT POLICIES ON MSME GROWTH: EVALUATING EFFECTIVENESS AND GAPS
Authors: Saxena Sonakshi , Sirohi Prof. Rajeev Kumar
Published: January 2025

Micro, Small, and Medium Enterprises (MSMEs) are pivotal to the economic growth and development of nations. They contribute significantly to employment generation, industrial output, and exports. Recognizing their importance, governments worldwide have implemented various policies to foster the growth and sustainability of MSMEs. However, the effectiveness of these policies often varies, revealing gaps that need addressing. This paper evaluates the impact of government policies on MSME growth, analyzing their effectiveness and identifying existing gaps through a global and regional lens. Recommendations for bridging these gaps and enhancing policy frameworks are also proposed.
INDIA’S POLICIES IN THE RUSSIAN-UKRAINIAN CRISIS: ASSESSING NEW TRENDS AND IMPLICATIONS
Authors: Pandey Smita
Published: January 2025

The ongoing Russian-Ukrainian crisis, which began in 2014, has had a significant impact on the economic relationship between Russia and India. This paper provides an extensive review of existing literature on the economic effects of the crisis on Russian-Indian relations. The crisis, which began with Ukraine's efforts to integrate into the EU and Russia's subsequent annexation of Crimea, led to prolonged conflict, economic sanctions, and growing diplomatic tensions between Russia and the West. The study highlights the global economic consequences of the crisis, particularly for countries with strong ties to Russia, such as India. As a major trading partner and investor in Russia, India has felt the direct consequences of the crisis. Western sanctions have severely affected the Russian economy, leading to a drop in foreign direct investment, a decline in the ruble’s value, and reduced trade with the West. Meanwhile, Ukraine has faced significant economic challenges, including losses in industry and agriculture, reduced foreign investment, and disruptions in energy supplies, which have caused inflation and a decline in purchasing power. The fallout from the crisis has extended to India, as sanctions imposed by the EU and the US on Russia hinder access to global financial markets and technology. Despite these difficulties, there remain opportunities for growth and collaboration in areas such as energy, trade diversification, defense, and infrastructure development, which could strengthen economic ties. However, the crisis presents multiple challenges and risks to Russian-Indian economic relations, such as geopolitical instability, trade barriers, currency fluctuations, regulatory issues, and energy dependency. Overcoming these obstacles will require proactive policy measures, reforms, and continued bilateral commitment. In conclusion, although the Russian-Ukrainian crisis has had significant economic consequences for Russian-Indian relations, there are still opportunities for cooperation. By addressing challenges, improving diplomatic relations, diversifying trade, reducing investment barriers, and encouraging innovation, Russia and India can strengthen their economic partnership despite the difficulties caused by the crisis.
Eksplorasi Peran Emosi atau Perasaan Dalam Implementasi Kurikulum Merdeka Belajar Pada Pendidikan Agama Islam
Authors: Muhtar Lalu Deni , Zubair Maimun , Mareta Mira
Published: January 2025

Pendidikan menjadi fondasi utama dalam membentuk individu dan masyarakat yang berkualitas. Tantangan utama pendidikan saat ini adalah bagaimana mengimplementasikan kurikulum yang relevan dan responsif terhadap kebutuhan peserta didik serta perubahan zaman. Kurikulum Merdeka Belajar, yang menekankan kebebasan dan kemandirian dalam proses pembelajaran, menawarkan solusi terhadap tantangan ini. Dalam konteks pendidikan agama Islam, peran emosi atau perasaan sangat penting karena memengaruhi motivasi, konsentrasi, dan pemahaman peserta didik. Studi yang membahas peran emosi dalam pendidikan agama Islam masih terbatas, namun beberapa penelitian menunjukkan bahwa pemahaman dan pengelolaan perasaan dapat meningkatkan efektivitas pembelajaran agama. Artikel ini mengeksplorasi lebih lanjut bagaimana perasaan dapat memengaruhi implementasi Kurikulum Merdeka Belajar dalam pendidikan agama Islam, serta menawarkan rekomendasi untuk meningkatkan pemahaman dan penerapan konsep ini. Penelitian ini menggunakan pendekatan kualitatif studi literatur untuk menganalisis peran emosi dalam implementasi Kurikulum Merdeka Belajar pada pendidikan agama Islam. Proses ini melibatkan pemilihan literatur berkualitas tinggi dari jurnal ilmiah, buku teks, artikel, dan dokumen akademis lainnya. Analisis literatur berfokus pada bagaimana Kurikulum Merdeka Belajar berkontribusi terhadap pembentukan sikap dan nilai dalam agama Islam serta implikasi kecerdasan emosional terhadap pengajaran dan pembelajaran agama Islam. Penelitian ini menyimpulkan bahwa kecerdasan emosional guru berperan penting dalam meningkatkan kualitas pengajaran, membangun hubungan baik dengan siswa, dan mengelola stres. Temuan penelitian ini diharapkan dapat memberikan kontribusi positif terhadap pengembangan kebijakan pendidikan dan praktik terbaik dalam meningkatkan kualitas pendidikan agama Islam, dengan menekankan pentingnya integrasi kecerdasan emosional dalam kurikulum dan pelatihan guru.
Students' Creative Thinking Skills with STEAM-SDGs Approach to Energy Concept: Rasch Model Analysis
Authors: Purwanti Purwanti , Hayat Muhammad Syaipul , Dewi Endah Rita Sulistya
Published: January 2025

21st century education demands innovation in learning to develop students' creative thinking skills.  This study aims to measure the effect of implementing STEAM-SDGs-based science learning on the concept of energy on students' creative thinking skills. The research method used a quasi-experimental method with a one-group pretest-posttest design. The subjects of the study were 32 students of grade VIII of SMP Negeri 1 Jumo, Temanggung Regency. Data collection was carried out using a creative thinking skills test instrument and the research data were analyzed using the rasch model. The results showed a significant increase in students' creative thinking skills, with an average pretest score of 35.83 and a posttest score of 82.32. Welch's t-test showed a significant difference between the pretest and posttest (t = -6.31, df = 55, and prob = 0.001, p <0.05). The greatest increase occurred in the fluency, flexibility, and elaboration indicators, while the originality indicator experienced a lower increase. STEAM-SDGs integration has proven effective in improving students' creative thinking skills, with the highest indicator in flexibility (90.24) and the lowest in originality (69.93). This study suggests that combining STEAM with global sustainability issues such as the SDGs can prepare students to face 21st century challenges and increase their awareness of environmental and sustainability issues.
Development Module Of Information Services For Students' Maturity In Career Decision Making
Authors: Khairiyah Feby Najmah , Sukma Dina
Published: January 2025

Adolescence is an important period in the development of high school students, where they begin to find their identity and determine their career direction. This process is often accompanied by challenges, such as the lack of accurate and transparent information regarding career choices. This study aims to develop a module service that is valid in content and design, practical, and effective to assist students in making career decision information. This research uses the research and development (R&D) method. The research design model used in this study is the ADDIE (Analysis-Design-Develop-Implement-Evaluate) research and development model. The respondents in this study were 3 expert lecturers for content validation, 2 expert lecturers for display validation, 3 guidance and counseling teachers for practicality testing, and 30 students for effectiveness testing. The results of the study indicate that the developed service module is valid in terms of content and design, and is also practical and effective for the maturity of students' career decision-making information
A New Integral Transform “Dukani Transform” with Applications
Authors: Hilmi Hozan , Hama Faraj Jwamer Karwan , Ali Saleh Al-Joufi Salah , Jalil Shabaz , Hussein Rahman Hiwa , Swara Fatah Shwan
Published: January 2025

This paper describes a novel integral transform called the "Dukani Transform," which we can employ to precisely (analytically) solve the Volterra integral equations (VIE) of the first sort. To do this, first the Dukani transform of transcendental and elementary algebraic mathematical functions is derived by the authors. Next, the basic properties of the Dukani transform were discussed. Then, using a range of differential equations, including integral equations (IEs), ordinary differential equations (ODEs), and integro differential equations (IDEs), the exact (analytic) solution for first-class generic VIE was found by the authors. Numerical problems have been thoroughly examined and solved, in a step wise manner, demonstrating the applicability of the Dukani transform. The findings demonstrate that, without need for time-consuming calculations, the suggested "Dukani Transform" new integral transform produces accurate (VIEs.) of first-kind and second kind.
Applications of Quasi-Subordination on Subclasses of Bi-Univalent Functions Associated with Generalized Differential Operator
Authors: Salih Muhammed Muhammed , Galib Atshan Waggas
Published: January 2025

This paper introduces and defines subclasses of the function class  of analytic and bi-univalent functions associated with the operator  within the open unit disk through quasi-subordination. We derive results concerning the corresponding bound estimations of the coefficients  and .
Using the Linear Programming Model in Determining the Potential Production Capacities by Employing the Parametric Programming Method
Authors: Kamel  Al – Mashhadani Athraa , Shaker Salman Muna , Yassir Abdul Ameer Ruqayah
Published: January 2025

This research aims to use the linear programming method to identify underutilized production capacities within the company's production lines by employing the parametric programming method as a supporting tool. It is considered a fundamental and important method that helps make the best use of the resources available to companies and aids decision-makers in making accurate, scientifically-based decisions. The study includes identifying unused capacities within four production lines of a dairy company: the dairy production line and the confectionery production line. The study identifies unused capacities within the natural juice and beverages production line and the bakery production line. Based on the results obtained and a comparison with actual achievements, it identifies the unused production capacities. This approach grants the model greater flexibility and uses it as a foundational basis for determining optimal values in the future.
Enhancing AI Through Statistical Methods for Improved Decision-Making
Authors: Kamil Habeeb Hadeel , Hassan Radhy Zainb
Published: January 2025

This study examines the crucial relationship between Artificial Intelligence (AI) and statistics, which has grown in importance due to the information boom and computational advances. Modern data-intensive applications have led these domains to merge, despite their parallel history. This document explores AI's fundamentals, focusing on machine learning and deep learning, and how statistical methods help AI perform tasks like decision-making and pattern identification. We integrate AI with robust statistical modelling and prediction to improve AI transparency and effectiveness. This multidisciplinary approach emphasizes theoretical advances, practical applications, ethical considerations, and future problems at the interface of AI and statistics. We encourage AI and statistics communities to collaborate to promote innovation and responsible AI development and deployment. This collection of publications is a comprehensive resource for researchers and practitioners using AI and statistics to better decision-making and predictive analytics
Dimension reduction analysis of Ischemic stroke by using MAVE and SMAVE methods
Authors: .H.AL-Sharoot Mohammed , .J.Tuama Sanaa
Published: January 2025

With the rapid development that the world has witnessed in all scientific fields, data analysis has become more complex due to the large size of collected data that needs to be analyzed. Because of that the data analyst needs a powerful tool to deal with such that kind of data and this is why the dimension reduction methods have developed. In this paper, we focuses on minimum average variance estimation as powerful dimension reduction tools to analysis of ischemic stroke for sample of patients under some covariates. The aim of this paper is to determine the most important covariates that affect the size of ischemic stroke as response variable.
And the results indicated that the SMAVE method is the best method for prediction of the future ischemic stoke volume.
Applications of Horadam Polynomials for Bi-univalent Functions associated with Gamma-Starlike Function
Authors: Kadim Mohammed Hayder
Published: January 2025

This study presents a novel subclass of analytic and bi-univalent functions within the open unit disk, utilizing Horadam polynomials related to Gamma-starlike functions. Our primary focus is on deriving upper bounds for the second and third Taylor-Maclaurin coefficients of functions belonging to this subclass. We employ subordination techniques and properties of Horadam polynomials to establish these coefficient estimates.
Predicting Student Enrollment at the Education College of Benghazi via Mathematical Modeling Approaches
Authors: Naser Ali Mohamed Fatma , Bukhatwa Bothaina
Published: January 2025

This study aims to demonstrate the process of three different models for predicting the number of undergraduate students enrolled at the Education College of Benghazi in a certain period. These models are Exponential change method, logistic method and the least squares method. Data was collected from registration and admissions office of the education college of Benghazi for the years 2015-2023. This data will be used to forecast for all methods that will be discussed in this research. For evaluating and comparing the efficiency and accuracy of these methods, Mean Absolute Deviation (MAD), Mean Absolute Percent Error (MAPE), and Root Mean Square Error (RMSE) were used. Enrollment data analysis allowed for the comparison of the models to the actual enrollment in regards to which method gave the best prediction of future student enrollment. The least squares method provided the most accurate estimations, with the precision rate of 92%. The three models were further used to predict enrollment levels for the Education College of Benghazi in the future semesters.
CALCORREAR PELAS VEREDAS DA PESQUISA SOBRE A IMPORTÂNCIA DO (A) PSICOLOGO (A) EM LOCAIS DE PRIVAÇÃO DE LIBERDADE (PRESÍDIOS) EM TEMPOS PANDÊMICOS
Authors: Nunes Maria de Lourdes Rocha Lima , Almendra Matheus da Costa
Published: January 2025

A pandemia de COVID-19 evidenciou e aprofundou desigualdades preexistentes em diversos contextos sociais, incluindo o sistema prisional, que se tornou um foco de atenção devido às suas condições estruturais e sanitárias precárias. As populações
carcerárias, já marginalizadas e frequentemente privadas de acesso adequado a serviços de saúde, enfrentaram um cenário ainda mais crítico com a disseminação do vírus. Os presídios, caracterizados por superlotação, ventilação inadequada e falta de recursos básicos, transformaram-se em espaços altamente propícios para a transmissão do coronavírus. A incapacidade de manter distanciamento social e o acesso limitado a itens essenciais, como máscaras e álcool em gel, comprometeram não apenas a saúde dos detentos, mas também de todos aqueles que trabalham ou transitam nesses ambientes, como policiais prisionais, equipes de saúde e operadores do direito (Nunes, 2022).
A pandemia de COVID-19 trouxe consigo uma onda de incertezas e medo, afetando profundamente a saúde mental de indivíduos em todo o mundo. O isolamento social e a percepção constante de risco contribuíram para o aumento expressivo de sintomas de trauma, ansiedade e estresse, especialmente entre aqueles expostos a contextos de maior vulnerabilidade. Estudos indicam que o medo da contaminação e a insegurança sobre o futuro, combinados com a solidão e a interrupção abrupta das rotinas, foram fatores críticos na amplificação do sofrimento psicológico durante os períodos iniciais dos surtos (Zanon, 2020).
DESAFIOS DA INCLUSÃO ESCOLAR DE ALUNOS COM TRANSTORNO DO ESPECTRO AUTISTA (TEA)
Authors: Luz Viliane Cristina de Oliveira , Aragão Danubya Oliveira Pires
Published: January 2025

Este estudo trata dos obstáculos da inclusão escolar de pessoas com transtorno do espectro autista (TEA) e tem como objetivo geral analisar os desafios enfrentados pela família na inclusão escolar de alunos com esse transtorno. Para tanto, realizou-se pesquisa de natureza qualitativa, com uso do método descritivo, a partir de uma revisão bibliográfica com delineamento transversal, cujo corpus de investigação foi constituído por doze artigos científicos, publicados no período de 2020 e 2024. Os resultados revelaram que os principais desafios enfrentados estão na falta de infraestrutura escolar, na efetivação da matrícula, profissionais sem nenhuma capacitação para trabalharem com esse público e o preconceito por desconhecimento das características de uma pessoa com TEA. Assim, conclui-se que os desafios enfrentados pelos alunos com TEA no processo de inclusão escolar poderiam ser minimizados por meio de uma equipe multidisciplinar, que possibilitasse a garantia do acolhimento e atendimento às necessidades dessas pessoas e de seus familiares.

PALAVRAS-CHAVE: Desafios; Família; Inclusão escolar; Transtorno do espectro autista.
O IMPACTO DA TECNOLOGIA NA SAÚDE MENTAL DE CRIANÇAS NA PRIMEIRA INFÂNCIA
Authors: Sousa Maria do Amparo Soares da Silva , Neta Olindina Fernandes da Silva
Published: January 2025

A primeira infância, período crítico entre o nascimento e os seis anos, é essencial para o desenvolvimento físico, cognitivo, social e emocional das crianças. Nesse cenário, a tecnologia surge como uma ferramenta com potencial para ampliar as oportunidades de aprendizagem e interação, mas também levanta preocupações sobre seus impactos negativos. A presente pesquisa qualitativa tem como objetivo examinar o impacto da tecnologia na primeira infância, utilizando a técnica de análise de conteúdo e o software Atlas.TI para identificar e analisar as categorias emergentes a partir de entrevistas com pais e educadores. Os dados coletados indicam que a tecnologia, especialmente por meio de smartphones e tablets, já está presente na vida das crianças desde cedo. As principais atividades realizadas com esses dispositivos incluem assistir a vídeos, jogar jogos educativos e interagir com aplicativos. Apesar de alguns benefícios percebidos, como o aprimoramento das habilidades cognitivas e o estímulo à aprendizagem, os resultados revelam que o uso excessivo dessas tecnologias pode comprometer o desenvolvimento saudável das crianças. A análise sugere que é fundamental um equilíbrio entre o uso da tecnologia e o tempo dedicado ao brincar, atividade essencial para o desenvolvimento da criatividade, da cognição e das habilidades sociais. Os pais e educadores desempenham um papel crucial na mediação do uso das tecnologias, sendo necessário limitar o tempo de exposição às telas e monitorar o conteúdo consumido, para evitar riscos relacionados à dependência precoce dos dispositivos. A pesquisa aponta para a necessidade de estratégias educativas mais eficazes, que incentivem a substituição de atividades virtuais por interações lúdicas e presenciais, promovendo o desenvolvimento integral das crianças. O brincar deve ser valorizado como parte essencial do processo de socialização e aprendizado, prevenindo possíveis efeitos adversos na saúde física e no bem-estar emocional das crianças na primeira infância.
PALAVRAS-CHAVE: Primeira Infância. Influência Tecnologia. Saúde Mental. Comportamento Infantil. Internet.
Does Translanguaging Enhance Learning? Examining EFL Students’ Perceptions and Success in Bali
Authors: Ratminingsih Ni Made , Padmadewi Ni Nyoman , Nitiasih Putu Kerti , Artini Luh Putu , Ana I Ketut Trika Adi
Published: January 2025

The integration of first and second languages in English as a Foreign Language (EFL) classrooms, termed translanguaging, is gaining recognition for its potential to improve comprehension and student engagement. This study investigates students’ perceptions of translanguaging in Bali, a unique multilingual setting, and examines its correlation with their English learning achievement. Bali’s sociolinguistic environment, where students frequently use Balinese, Indonesian, and English, offers an ideal context to explore this phenomenon. This study employed a correlational research design, involving 65 fourth-semester students aged 18 to 22, to assess perceptions of translanguaging through a structured questionnaire and their English achievement through standardized tests. Descriptive statistics showed that students held positive perceptions of translanguaging, finding it beneficial for understanding course content and encouraging participation. However, Pearson correlation analysis revealed a minimal, non-significant correlation between students’ positive perceptions and their English learning achievement (r = 0.039, sig. = 0.758). While translanguaging created a supportive and engaging learning environment, its direct influence on academic achievement was limited. These findings suggest that although translanguaging may foster an inclusive and interactive classroom setting, it does not significantly impact measurable language achievement. This study contributes valuable insights into the role of multilingual practices in EFL education and encourages further research on their complex effects on learning outcomes.
Enhancing English Proficiency and Digital Literacy through Digital Storytelling in Vocational Health Students
Authors: Istanto Wisnu , Amelia Noer , Edi-Krause Sulistyaning , Suemith Merlissa
Published: January 2025

Teaching English to healthcare students presents multifaceted challenges, particularly for non-native speakers who must concurrently navigate the complexities of medical concepts and the acquisition of language proficiency. Addressing these dual demands necessitates pedagogical innovations that integrate linguistic development with digital literacy to meet the dynamic requirements of contemporary healthcare. This quasi-experimental study explored the efficacy of digital storytelling as a transformative educational tool for enhancing English fluency and multimedia communication skills among vocational health students. Seventy-eight participants were allocated into an experimental group, which engaged in structured weekly digital storytelling activities, and a control group, which adhered to traditional grammar-based instruction. Over a 16-week intervention, data collected via the Test of English Proficiency Speaking and the Multimedia Communication Comfort Scale revealed significant outcomes, with the experimental group exhibiting substantial improvements (T-value = -23.91, p < 0.001) compared to the negligible gains of the control group (T-value = -11.12, p > 0.05). Furthermore, a robust positive correlation (r = 0.60) between initial lower proficiency and more significant improvement underscores the inclusivity and adaptability of digital storytelling for diverse learner profiles. By merging authentic language use with practical engagement in digital tools, digital storytelling equips vocational health students with critical competencies essential for effective communication in increasingly digitalized healthcare environments, demonstrating its potential as a cornerstone of 21st-century vocational education.
Exploring High School EFL Teachers' Experiences with Magic School AI in Lesson Planning: Benefits and Insights
Authors: Setyaningsih Endang , Asrori Muhammad , Ngadiso  , Sumardi  , Zainnuri Hasan , Hariyanti Yuni
Published: January 2025

Advancements in artificial intelligence (AI) are reshaping education, yet its role in lesson planning warrants further exploration. This study examines how Indonesian high school English as a Foreign Language (EFL) teachers integrate MagicSchool AI, a generative AI tool, into lesson planning, revealing opportunities and challenges. Data from 38 teachers, collected through post-workshops open-ended questionnaires, and focus group interviews, highlight AI's dual potential: while it accelerates lesson planning, supports differentiated instruction, and fosters creativity, it also necessitates critical teacher oversight, effective prompt-engineering skills, and significant adaptation to align with classroom dynamics. Teachers emphasized AI’s value in reducing workloads and generating diverse instructional ideas but noted that its outputs often lack readiness for immediate use, requiring refinement to ensure pedagogical soundness. These findings underscore the importance of targeted training and professional development to equip teachers with the skills to navigate AI tools effectively. This study emphasizes the critical balance between human expertise and technological efficiency by framing AI as a collaborative ally rather than a replacement for educators. It contributes to the growing discourse on AI in education, offering insights into optimizing human-AI collaboration for innovative, contextually relevant, and impactful teaching practices. This research invites educators and policymakers to envision AI as a transformative force, capable of bridging innovation with pedagogical integrity to shape the future of education.
Evaluating the Impact of AI Tools on Grammar Mastery: A Comparative Study of Learning Outcomes
Authors: Lalira James Edward , Yopie A. T. Pangemanan  , Jane E. Scipio  , Sjerly Lumi  , Theo Ch. Merentek  , Vivi Nansy Tumuju
Published: January 2025

Artificial Intelligence (AI) tools are increasingly integrated into education, offering innovative solutions to enhance learning, particularly in language acquisition. In grammar instruction, tools like Grammarly and ChatGPT provide real-time feedback, error correction, and personalized learning experiences. This study investigates the impact of these AI-assisted learning tools on grammar proficiency among students from diverse academic programs in two higher education institutions in Indonesia. A quasi-experimental design was employed, comparing pre-test and post-test grammar scores to evaluate the effectiveness of these tools. A total of 150 students participated, representing programs such as Nursing, Pharmacy, Health Administration, Economics Education, and English Education. The findings revealed significant improvements in grammar scores, particularly among students in non-language-focused programs, with an average increase of 15%. Students in the English Education program showed smaller gains (5%), attributed to their higher baseline proficiency. While the results demonstrate the potential of AI tools in enhancing grammar accuracy, concerns were raised about over-reliance on technology and the need for transparent integration in educational contexts. The absence of qualitative insights and long-term retention data are acknowledged as limitations. This study highlights the importance of using AI as a supplementary resource to support meaningful grammar learning, especially for students with limited exposure to formal language instruction.
How Do EFL Teachers Navigate Problem-Based Learning in Indonesian Classrooms?
Authors: Azzahra Nurfie Rahmadani , Nurkamto Joko
Published: January 2025

The adoption of Problem-Based Learning (PBL) in English language education is gaining momentum due to its potential to enhance students' language proficiency, critical thinking, and problem-solving skills, which are essential for the 5.0 society era. Despite its numerous benefits, the implementation of PBL in secondary English education remains limited, primarily due to the complexities of designing instructional plans that align with student-centered learning curricula. This study investigates teachers’ competence in developing PBL lesson plans and explores their challenges. Using a case study approach, the research focuses on four in-service English teachers with extensive experience and pedagogical expertise. Guided by the framework of social constructivism, data were collected and analyzed thematically. The findings reveal the current state of teacher preparedness and highlight key contextual challenges, including managing diverse student competencies and characteristics, addressing classroom management issues, and effectively utilizing digital technology in instruction. These challenges emphasize the need for systemic support, professional development opportunities, and policy reforms that prioritize enhancing pedagogical practices over mere compliance. Addressing these issues is critical for fostering productive and supportive PBL learning environments in English language education.