bluuebunny/crossref_metadata_2025 huggingface dataset:
Evolution of Various Legal Dimensions for Flat-buyers in Bharat
Authors: - Aditya Goyal , - Ekta Gupta
Published: May 2024

This paper delves into the dynamic landscape of laws regulating the rights and responsibilities of flat buyers in India, tracing the evolution of the legal framework from its inception to the present day. The journey unfolds against the backdrop of India's rapidly growing real estate sector, characterized by its multifaceted challenges and opportunities. The study encompasses an in-depth examination of key legislations, judicial precedents, and policy interventions that have shaped the rights and protections afforded to flat buyers.
Beginning with an exploration of early property laws, the paper elucidates the factors that necessitated specialized regulations governing the purchase of flats and apartments. The advent of cooperative housing societies and the Real Estate (Regulation and Development) Act, 2016, marks significant milestones in this evolution, with an emphasis on consumer protection, transparency, and accountability. The analysis extends to the interplay between statutory provisions and evolving judicial interpretations, highlighting landmark cases that have influenced the legal landscape.
Furthermore, the paper investigates the impact of technological advancements, such as online property transactions and blockchain, on the legal aspects of flat purchases. It scrutinizes the role of digitization in enhancing transparency, reducing fraud, and expediting dispute resolution mechanisms.
The study also considers the challenges and gaps in the existing legal framework, offering insights into potential areas for reform. Issues like delays in project completion, ambiguous contractual terms, and the efficacy of dispute resolution mechanisms are examined through a critical lens. Additionally, the paper sheds light on the role of consumer awareness and education in empowering flat buyers to make informed decisions.
In conclusion, the Evolution of Law for Flat Buyers in India is a comprehensive analysis that not only maps the historical development of legal frameworks but also provides a forward-looking perspective on potential reforms and innovations. This research contributes to a deeper understanding of the legal dynamics surrounding flat purchases, offering valuable insights for policymakers, legal practitioners, and stakeholders in the real estate industry.
Resilience amongst Working and Non Working Women
Authors: - Mrinalini Singh , - Dr. Shivani Bhambri
Published: May 2024

Resilience among women has garnered significant attention in research and practice due to its profound implications for individual well-being and societal progress. This abstract explores the multifaceted nature of resilience among women, examining the factors that contribute to their ability to adapt, cope, and thrive in the face of adversity. Drawing from a range of interdisciplinary literature, this review highlights the role of social support, self-efficacy, cultural factors, and coping strategies in shaping women's resilience. Additionally, it explores the impact of various stressors such as gender-based violence, economic disparities, and systemic discrimination on women's resilience levels. Understanding the mechanisms underlying women's resilience is crucial for informing interventions and policies aimed at fostering their empowerment and promoting gender equity. This abstract concludes by discussing future directions for research and implications for practice in enhancing resilience among women across diverse contexts. The study was conducted in Delhi, sample size was 100. The tool used was brief resilience scale.
Scholar- Study Material Application
Authors: - Khan Mohammad Zaid , - Khan Soheb Junaid , - Shaikh Afee Javed , - Abdul Rahman Tanaji
Published: May 2024

In the contemporary educational landscape, the symbiotic relationship between technology and the classroom has become increasingly imperative for fostering student success. Among the myriad educational tools emerging in the digital age, SCHOLAR stands out as an innovative app designed to revolutionize the learning experience.
SCHOLAR embodies a multifaceted approach to enhance student learning, offering a plethora of features tailored to cater to diverse learning styles and preferences. One of its hallmark features is interactive knowledge sharing, which facilitates seamless exchange of information between students and instructors. Through real-time collaboration and discussion forums, students can engage in dynamic discourse, enriching their understanding of various subjects.
Furthermore, SCHOLAR integrates interactive quizzes into its framework, transforming traditional assessment methods into engaging and immersive experiences.
Retirement Planning among Unorganised Workers: Strategies and Challenges
Authors: - Akshatha.Eva.Sampson , - Pavithra Puthran , - Lalan Amin , - Shwetha Rachel
Published: May 2024

Retirement is that period of life when an individual is no longer working or at the commencement of such a period. Unorganised working class in India should have a shot at leading a comfortable life after the age of 60. It is a remarkable goal given that retiring would be last thing in the minds of workers as they struggle to make ends meet on a daily basis.
This study investigates the retirement planning practices of unorganized workers, focusing on the strategies they employ and the challenges they face. Through a comprehensive analysis, we examine the various factors influencing retirement planning decisions among this demographic. The study employs a mixed-methods approach, incorporating both quantitative surveys and qualitative interviews to gather insights into the retirement preparedness and financial security of unorganized workers. Our findings highlight the diverse range of strategies adopted by unorganized workers, including informal savings mechanisms, reliance on family support, and participation in government-sponsored schemes. Additionally, we identify key challenges such as irregular income, lack of access to formal financial services, and limited awareness of retirement planning options. By shedding light on these issues, this study aims to inform policymakers, employers, and stakeholders about the unique needs of unorganized workers in planning for retirement and suggests recommendations for addressing these challenges.
Machine Learning-driven Lung Cancer Detection
Authors: - PRIYANSHU SAHAY , - DEEPANSHU GUPTA , - PIYUSH KUMAR , - MEDHAVI PANDEY
Published: May 2024

Lung cancer remains one of the most prevalent and deadly forms of cancer worldwide, highlighting the critical need for early detection methods to improve patient outcomes. In this study, we present a novel approach to lung cancer detection utilizing machine learning techniques, specifically leveraging the Random Forest algorithm. Our research focuses on developing a robust and accurate model capable of detecting lung cancer from medical imaging data with high precision and sensitivity. We collected a comprehensive dataset consisting of radiographic images from patients with confirmed lung cancer diagnoses, as well as from healthy individuals for comparison. The Random Forest algorithm, known for its versatility and ability to handle complex datasets, was employed as the primary machine learning framework in our study. Through a process of feature extraction and selection, our model was trained to identify patterns and subtle abnormalities indicative of lung cancer within the imaging data. We conducted extensive experimentation and evaluation to assess the performance of our proposed approach. Our results demonstrate promising outcomes, with the Random Forest model achieving notable accuracy rates in distinguishing between cancerous and non-cancerous lung tissues. Additionally, the model exhibited favorable sensitivity and specificity metrics, indicating its potential as a reliable tool for early lung cancer detection. Furthermore, we conducted comparative analyses with other machine learning algorithms commonly utilized in medical image analysis tasks. The findings underscore the efficacy of the Random Forest algorithm in this particular domain, showcasing its superiority in terms of both performance and interpretability. In conclusion, our research contributes to the ongoing efforts aimed at improving lung cancer diagnosis through the integration of machine learning technologies. By harnessing the power of the Random Forest algorithm, we offer a promising solution for early detection, thereby facilitating timely interventions and ultimately enhancing patient outcomes in the fight against lung cancer.
Advanced Road Lane Detection System
Authors: - Dr. Vinay Warad , - Mohammed Zeeshan , - Mohammed Ehtesham Shaikh , - Syed Shais Ayaan , - Muqtadeer
Published: May 2024

Road lane detection is a critical component of autonomous driving systems, aimed at enhancing vehicle safety and efficiency. This research paper presents an advanced road lane detection system designed to automatically identify lane markings on the road surface. Leveraging image processing techniques such as camera calibration, perspective transformation, and binary thresholding, the proposed system achieves accurate and real-time detection of lane boundaries.
Through extensive experimentation and evaluation, the system demonstrates superior performance across various road conditions and environments. The results highlight the effectiveness and potential of the proposed system in advancing autonomous driving technology and improving road safety.
Geopolitical Dynamics and the Adoption of International Financial Reporting Standards: Implications from the Conflict between Ukraine and Russia
Authors: - E. Susithra
Published: May 2024

This study explores the potential implications of geopolitical dynamics surrounding the conflict between Ukraine and Russia on the adoption and implementation of International Financial Reporting Standards (IFRS) in affected countries. Analyzing the interplay between political tensions, economic sanctions, and domestic instability, the research sheds light on the challenges and opportunities for regulatory harmonization and financial transparency in regions affected by geopolitical conflicts. Key findings highlight the impact of regulatory uncertainty, economic sanctions, and security concerns on businesses' compliance with IFRS, as well as the influence of policy shifts and government agendas on the trajectory of regulatory reforms. The study underscores the importance of adaptive regulatory strategies and international cooperation in promoting financial stability, transparency, and resilience amid geopolitical uncertainty and conflict. By addressing these challenges, stakeholders can navigate the complexities of geopolitical dynamics to advance the adoption and implementation of IFRS, fostering global financial standards and stability in the face of geopolitical challenges.
Consumer Satisfaction and Perception Towards Green Tea
Authors: - SURUDHI.R
Published: May 2024

Green tea is a type of tea that is made from Camellia sinensis leaves and buds that have not undergone the same withering and oxidation process used to make oolong teas and black teas.[1] Green tea originated in China, but its production and manufacture has spread to other countries in East Asia.
Several varieties of green tea exist, which differ substantially based on the variety of C. sinensis used, growing conditions, horticultural methods, production processing, and time of harvest. Although there has been considerable research on the possible health effects of consuming green tea regularly, there is little evidence that drinking green tea has any effects on health
Girmityas' Portrayal in Ashwin Desai’s Inside Indian Indenture: An Apprehensive Study
Authors: - Tamanna Sharma
Published: May 2024

Indentured system was highly tormented form of slavery began when the Britishiers faced the lack of labourers at the sugar, cotton and tea plantation due to the end of African slavery . In this system millions of Indians were contracted to work in the 19 British colonies included Fiji, Trinidad, Guyana, South Africa on low wages.Girmityas refers to those bonded indian slaves who agreed to migrate to british colonies in order to escape from the poverty and famine of british india with dream of getting a life of roses without having any idea of difficulties that they were going to face .Some were also defrauded into Migration without any complete knowledge. They were recruited on different plantations by signing a contract of four to five years with the condition of providing the return amenities at the end of their contract however only seldom time it happened. Many died during the journey that took 10 to 20 weeks and many tried to return to their homeland however , failed. In Literature the representation of these turmoiled indentured labourers were first began in Caribbean literature by ARF. Webber, V.S Naipaul, Ashwin Desai etc. In Ashwin Desai’s Inside Indian Indenture we get the realistic and authentic portrayal of the biography of indentured labourers who were ignored by the history. This book seeks to give voice to those unvoiced people whose stories still remained unknown to the masses . This book is a journey through all those silenced, ignored indentured labourers who were tormented by the hardships showered on them by the proprietors.
Private Labels – Where do they lack? – Indian Scenario
Authors: - Swapnaja Tapadia
Published: May 2024

Private label market share in the US is very much higher as compared to the share of private labels in India. This research focuses on the aspects which these giant retailers need to consider in order to succeed in Indian market. Comparison of Marketing Mix of National Brands as against Private Labels was done in the first part of this research. For second part of the research questionnaire was prepared to find out consumer preferences and factors which they do compare while making buying decision. Data collected was then analysed to draw inferences. Based on the analysis of both parts I & II conclusion was drawn, which was followed by suggestions that can be implemented by retailers, so as to overcome the lacuna and gain market share.
Teaching for Enhancing Diverse Mixed Age Group Learning in West Bengal
Authors: - ABHIJIT ROY
Published: May 2024

Efficient teaching is dependent on some components, such as student and teacher attentiveness, communication and planning of teachers,’ utilised instructional methods, quality-oriented resources, quality of interactions allowed in the classrooms, and others. There are unified teaching methods in the system of education. As the required and diversified learner in this contemporary era, teachers have to utilise a variety of teaching methods for quality education. One of them is mixed-age group teaching, which consists of detailed instruction for developing the mindset of students. Researchers, through this article, wanted to explain a conceptual overview of the mixed age group teaching background, benefit, and how it is useful for diverse learners. This study has significant implications for students, teachers, teacher educators, academic instructors, researchers, curriculum designers, and others.
A Study of Challenges Faced by Women in Leadership Role
Authors: - Shaila khanam , - Prof. Dr. Azra Ishrat
Published: May 2024

This paper offers a thorough analysis of the numerous difficulties faced by women in leadership roles. Deeply rooted cultural conventions and
organizational biases continue to impede women's progression and
effectiveness as leaders, notwithstanding significant progress made towards gender equality. This report's thorough study reveals a number of significant obstacles, such as the influence of intersectionality, organizational discrimination, work-life balance concerns, and societal preconceptions. It also looks at the "glass cliff" phenomenon, which describes how women are frequently given leadership positions in emergency situations, putting them under more scrutiny and danger. The report emphasizes how important it is to take proactive steps to solve these issues and create cultures that support gender-inclusive leadership, such as diversity initiatives and mentorship programs.
An Empirical Analysis of Investor Behavior: A Post-COVID-19 Examination of Herd Behavior in the National Stock Exchange of India (NSE)
Authors: - Soham Patil , - Aarav Jain
Published: May 2024

This research paper investigates investor behavior, specifically focusing on herd behavior, in the National Stock Exchange of India (NSE) during the post-COVID-19 period, from 2020 to the present. Utilizing daily closing prices of companies listed on the Nifty50, the study employs data sourced from the NSE website. In contrast to earlier research that demonstrated herding in developing economies, this paper adopts the methodology outlined by Christie & Huang (1995) to analyze the data.

The study finds no significant evidence of herding during the broader period of market stress in the NSE, suggesting a divergence from previous trends. The results suggest that Indian investors, despite operating in a volatile market environment post-COVID-19, exhibit rational behavior. Unlike some developing economies where herding behavior has been identified, Indian investors seem to rely on private information rather than imitating the actions of their peers.
Experimental Study on Subgrade Soil Properties using Sea Water as Partial Replacement to Fresh Water in Coastal Areas
Authors: - Ganga Bhavani.ch , - A.Subhash , - j.srija , - p.sangeetha , - k.veeranjaneyulu
Published: May 2024

At present , the fresh water availability is very important factor specially in coastal areas the ground water table providing with sea water . If we utilize the waste water nothing but sea water is used as parital replacement to the fresh water for the construction of subgrade soil for flexible pavements ,we will reduce the utilization of fresh water to the construction works as well as economical for transportation of fresh water to construction site. Sub grade is a component which can taken all compression loads from sub base, base and surface courses and transfer to it to below the ground surface. This paper deals with the sub-grade properties using sea water as partial replacement to fresh water in coastal areas. In order to determine the properties of soil by taking various percentages I.e, 10%,20%,30%,40% and 50%of salt water as partially replaced to normal water. In this study, Proctor’s compaction tests, core cutter test,Atterberg limits and CBR soaked and un-soaked tests are conducted on locally available soil with sea water to normal water. For this study it is identified that the engineering properties of the soil like void ratio,posrosity,degree of saturation does not loose their characterstics in all conditions. The soil with at optimum value is 40% of sea water has CBR soaked value is obtained 6.83% and un-soaked value is obtained 7.0% is just increased when compared with conventionally soil.

Key Words:
CBR-Soaked, Un-soaked,sea water, locally available water, compaction test, atter berg limits
Uttar Pradesh Police: Reforms and Employment Status
Authors: - Brij Bhushan Yadav , - Dr.  Poonam Chaudhary
Published: May 2024

An essential part of the state's legal system is the police force. Most people associate the word "police" with state personnel whose duty it is to maintain order, especially when it comes to the ordinary application of the penal code.More than just keeping the peace and catching criminals, today's police officers also help with traffic laws enforcement, crowd control at events like rallies and fairs, supporting emergency services like the fire department and flood rescue teams, and mediating small disputes between members of the public. An essential component of the state's justice system is the police. The word "police" mostly refers to state employees whose job it is to uphold law and order, particularly through the execution of the regular criminal code. In addition to preventing crimes and apprehending offenders, police officers nowadays also assist with other welfare tasks such as assisting with traffic regulations, managing crowds at public events and meetings, supporting fire departments and flood rescue teams, and assisting members of the public in resolving small conflicts.
Location Based Privacy Preserving using Machine Learning
Authors: - Roshini Singh , - Guguloth Kiranmai , - A. Sangeeta
Published: May 2024

Location-based privacy preservation is crucial in the digital age due to the widespread use of location-based services and growing concerns about individual privacy. Despite the use of k-anonymity measures, current systems face challenges, particularly the risk of re-identification, especially when attackers have additional contextual information. These systems also suffer from information loss, leading to a significant decrease in data utility. Striking the right balance between privacy and data utility remains a prominent challenge in the field of location-based privacy preservation. To address the existing gaps and challenges in privacy-preserving location data publishing, a robust framework termed Location anonymization framework is being introduced which consists of three methods Generalization, Sequence alignment and Clustering. DGH Trees are being used to minimize the information loss and also maintains a balance between privacy and utility. To enhance privacy preservation in overly sensitive datasets, a modified version of the k-means algorithm is being put forth. Moreover, to improve the alignment process, the more efficient iterative multisequence alignment is being opted for over the progressive counterpart within this framework. The aim is to achieve a more balanced trade-off between privacy and utility in location data publishing.
In Pursuit of Emotional Stability: Exploring the Role of PsyCap and Its Correlates among Health Care Workers during Covid-19 Pandemic
Authors: - Chetna Jaiswal , - Nishi Srivastava , - K. Vyshna , - Unnikannan P Santhosh Kumar
Published: May 2024

Background: A novel coronavirus pneumonia pandemic broke out, which ultimately spread over the world and affected public health. Global growth has been impeded, societal instability has been brought about, and overall mental health has been adversely affected by the COVID-19 pandemic. Health care workers, especially nurses, experienced an extensive amount of occupational stress, emotional discomfort and instability during this period. One of the positive factors that enable people to overcome psychological discomfort and hardship and enhance perseverance in their field of work is psychological capital (PsyCap). It is described as the positive and progressive state of the person, defined by HERO as a high degree of hope, efficacy, resilience and optimism. Aim & Objectives: This study aims to identify the relationship of Psychological capital with Coping and Positive & negative affect. And further, it aims to find the differences in male and female health care workers on the basis of these variables during the COVID-19 pandemic. Method: A correlational study was designed using purposive sampling to obtain a sample of healthcare workers in various hospitals in Kerala. The participants of age range 20 to 45 were selected for this study. After gaining the informed consent, all the scale including psychological capital questionnaire (PCQ-24), Brief Cope and positive affect and negative affect schedule (PANAS) were used in the present study. Obtained data had been statistically computed by using SPSS version 22. Result: Result suggested that Psychological capital is significantly positively correlated with coping, positive affect dimension of PANAS and negatively correlated with negative affect which is dimension of PANAS. Further it revealed that there is no significant difference between male and female health care workers with respect to these variables namely psychological capital, brief coping, positive affect and negative affect. Conclusion: This study paints a clear picture of the importance of psychological elements like positive affect, coping, and PsyCap in the lives of healthcare workers (HCWs) in order to improve their emotional stability, perseverance, and commitment to their jobs.
Grievance Redressal Mechanism in BSNL
Authors: - Prerna singh , - Prof.Ms.Sushma Budshra
Published: May 2024

The report is about the grievance faced by employees in an organization and in this report BSNL redressal system is taken to demonstrate the grievance process and how resolution can be taken by the organization to solve the issues
Analyzing the Impact of Meme Marketing on Consumer Engagement in the Digital Era
Authors: - Aditya Kumar Pandey
Published: May 2024

This research explores meme marketing, a new type of social media marketing that has gained popularity due to its capacity to engage and amuse consumers. Businesses and marketers are seeing the benefits of using memes to engage with consumers. The research attempts to investigate the influence of meme marketing activities on consumers and their effectiveness in capturing consumer attention. This research tries to understand humorous, creativity, brand recall and recognition which among these variables is more effective in meme marketing to capture the consumer attention. In this research a descriptive method is used for analyzing data. The findings reveal valuable insights into the role of memes in shaping consumer engagement and by leveraging memes, marketers can tap into the potential of digital culture and enhance consumer engagement in the digital era.
Grievance Handling Mechanism
Authors: - Vaibhav Kumar Sharma , - Prof. Mr Chhavi Prakash
Published: May 2024

This paper provides an in-depth analysis of the grievance handling mechanism within Bharat
Sanchar Nigam Limited (BSNL), one of India's largest telecommunications companies. It
explores the structure, processes, and effectiveness of BSNL's grievance redressal system,
aiming to identify strengths, weaknesses, and areas for improvement. Through a thorough
examination of existing literature, organizational documents, and, this study offers insights into
the challenges faced by BSNL in addressing grievances and suggests strategies to enhance its
responsiveness and efficiency in resolving customer complaints and employee concerns. The
findings of this research contribute to the broader discourse on organizational grievance
management and offer practical recommendations for enhancing service quality and stakeholder
satisfaction within BSNL and similar enterprises.
Reliability Centered Maintenance Method on Quotient Gradient System (QGS) in Production at PT ABC Dumai
Authors: Melliana M
Published: May 2024

QGS A1 is a powerful crusher and dryer designed based on reference drying equipment with good performance efficiency. QGS A1 has a very important function in expediting the production process, but this tool often breaks down so it really affects the smooth production. In connection with the damage to the tool needs to be examined to find out what maintenance should be done.This study aims to find out earlier the damage that affects the smooth production so that it can be known what maintenance actions must be carried out . This study uses the Reliability Centered Maintenance method which utilizes information on reliability and weaknesses as well as maintenance actions to choose from. The results of this study found a solution that the QGS A1 treatment run to failure was 81.2%, direct condition was 18.18%, and failure finding was 0%. The conclusion of this study is Condition Directed, namely the actions taken aim to detect damage by visual inspection, checking tools and monitoring a number of existing data.
Objetos ostensivos e não ostensivos e a Teoria da Aprendizagem Significativa de David P. Ausubel
Authors: Angelo Mateus Santos , Lima Maria Batista
Published: May 2024

Este artigo tem como objetivo caracterizar a articulação entre os objetos ostensivos e não ostensivos e à teoria da aprendizagem significativa de Ausubel, quanto aos elementos geométricos “Ponto, reta e plano” no livro didático “A conquista da matemática” do 6º ano (PNLD 2020). Tem caráter bibliográfico, com enfoque qualitativo, sendo utilizado como referencial o trabalho de Ausubel et al (1980), que trata da teoria da aprendizagem utilizada neste trabalho; Moreira (2012), que aborda em seu estudo uma análise da teoria de Ausubel; Chevallard (1999, 2009, 2002) e Kluth e Amouloud (2020), que tratam sobre a Teoria Antropológica do Didático (TAD). O livro analisado faz parte do Programa Nacional do Livro Didático (PNLD 2020), e foi escolhido por ser um dos mais utilizados na rede pública de ensino de Sergipe. A análise se deu a partir da seleção de atividades envolvendo o conteúdo de “Ponto, reta e plano”, que apresentam objetos ostensivos e não ostensivos. Após a análise, foi possível perceber articulações entre a teoria de Ausubel e os elementos geométricos presentes nas atividades selecionadas, e sua caracterização com a Teoria Antropológica do Didático.
РЕАЛІЗАЦІЯ СЕРЕДНЬОЇ СПЕЦІАЛІЗОВАНОЇ ОСВІТИ НАУКОВОГО СПРЯМУВАННЯ: ТЕОРЕТИЧНІ ЗДОБУТКИ І ПРАКТИЧНІ ВИКЛИКИ
Authors: Halchenko Maksym , Dovgyi Stanislav , Malynoshevska Alona
Published: May 2024

У статті визначено основні поступи, які здійснено вченими Інституту обдарованої дитини НАПН України, до реалізації середньої спеціалізованої освіти наукового спрямування в Україні. З'ясовано суть та структуру інтелекту як апарату розумної поведінки особистості, що буде покладено в основу освітнього процесу в наукових ліцеях (ліцеях-інтернатах). Обґрунтовано критерії відбору навчально-тренувальних вправ і завдань, спрямованих на формування технічних, організаційних, операційних, практичних та комунікативних умінь та розвитку відповідних здібностей. Запропоновано визначені критерії враховувати при розробленні навчальних програм і посібників, які репрезентуватимуть спеціалізований блок навчального плану наукових ліцеїв (ліцеїв-інтернатів). У контексті наукового супроводу освітнього процесу у зазначених закладах розроблено механізм трансформації чинних академічних ліцеїв у заклади середньої спеціалізованої освіти наукового спрямування. Завершується дослідження проблеми інтеграції освітнього і наукового складників у діяльності таких закладів. Здобуті наукові та практичні результати, що відображенні у статті та матеріалах вчених закладу, є свідченням того, що інститут готовий і спроможний відповісти на виклики практичного характеру: розроблення навчального плану наукових ліцеїв (ліцеїв-інтернатів); навчальних програм і посібників його спеціалізованого блоку; організувати підготовку педагогів до роботи у зазначених закладах; забезпечити у них методичний супровід освітнього процесу тощо.
ОСОБИСТИЙ ПЛАН ПРОФЕСІЙНОЇ ТРАНСФОРМАЦІЇ ПЕДАГОГІЧНИХ ПРАЦІВНИКІВ ДЛЯ РОБОТИ В ПРОФІЛЬНІЙ ШКОЛІ: СУТНІСТЬ, СТРУКТУРА, ЗНАЧЕННЯ
Authors: Prosina Olha
Published: May 2024

У сучасному освітньому середовищі вчителі стикаються з різноманітними викликами, які вимагають постійного самовдосконалення та адаптації. У статті розглядається професійна трансформація педагогічних працівників як ключовий аспект їхньої діяльності, зокрема в умовах війни. Обговорюються компоненти та процеси, пов'язані з організацією та реалізацією професійної трансформації через складання особистого плану професійної трансформації, що включає визначення цілей, аналіз навичок, вивчення можливостей, складання стратегії та рефлексію. Підкреслюється значення системного підходу та використання інструментів, таких як методичний порадник «Проєктування і дизайн плану професійної трансформації» (авт. О. Просіна), у досягненні успіху в професійній трансформації. Завдяки системному підходу до саморозвитку та складанню особистого плану професійної трансформації вчителі зможуть підвищити свою кваліфікацію та компетентність, адаптуватися до мінливих умов освітнього середовища, досягти успіху у своїй професійній діяльності.
Neural representation of phonological wordform in temporal cortex
Authors: Sorensen David O. , Avcu Enes , Lynch Skyla , Ahlfors Seppo P. , Gow David W.
Published: May 2024

While the neural bases of the earliest stages of speech categorization have been widely explored using neural decoding methods, there is still a lack of consensus on questions as basic as how wordforms are represented and in what way this word-level representation influences downstream processing in the brain. Isolating and localizing the neural representations of wordform is challenging because spoken words activate a variety of representations (e.g., segmental, semantic, articulatory) in addition to form-based representations. We addressed these challenges through a novel integrated neural decoding and effective connectivity design using region of interest (ROI)-based, source-reconstructed magnetoencephalography/electroencephalography (MEG/EEG) data collected during a lexical decision task. To identify wordform representations, we trained classifiers on words and nonwords from different phonological neighborhoods and then tested the classifiers' ability to discriminate between untrained target words that overlapped phonologically with the trained items. Training with word neighbors supported significantly better decoding than training with nonword neighbors in the period immediately following target presentation. Decoding regions included mostly right hemisphere regions in the posterior temporal lobe implicated in phonetic and lexical representation. Additionally, neighbors that aligned with target word beginnings (critical for word recognition) supported decoding, but equivalent phonological overlap with word codas did not, suggesting lexical mediation. Effective connectivity analyses showed a rich pattern of interaction between ROIs that support decoding based on training with lexical neighbors, especially driven by right posterior middle temporal gyrus. Collectively, these results evidence functional representation of wordforms in temporal lobes isolated from phonemic or semantic representations.
THE POVERTY OF POLICY EXECUTION: THE NIGERIAN EXPERIENCE
Authors: ADEOYE Dr. JULIUS OLANIYI , WILLIAM Dr. OKOTIE , OMOLARA DADA Dr. OLUDOLAPO
Published: May 2024

Policy summersault in Nigeria has to a large extent eroded public confidence in government’s ability to provide essential service as a way of solving societal problems. There is greater attention being paid to public policy execution in and out of intellectual discourse. The concept of public policy execution is not without its attending challenges and creative process of getting it done. Thus various proposals are faced with difficulties enroute execution. Various proposals fail to materialise, while those that do appeared distorted or mutilated, for them not to serve their envisioned drives. This paper objectively examines the challenges of policy execution in Nigeria. The paper relies on primary and secondary data for analysis and presentation these underlying factors. The paper found that effective policy execution can only be attained through unceasing commitment politically with clear responsibilities definition and effective coordination, by ensuring that genuinely, commitment to elimination of corruption at all levels of government is achieved for free flow of policy execution process. The paper concluded that poverty of policy execution is premised on government genuine commitment
Bilgi Psikolojisine Giriş
Authors: Özen Yener
Published: May 2024

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Why are Joint Replacement Registries Needed?
Authors: Zazirnyi I.M.
Published: May 2024

Summary. Joint replacement registries are well established and have an important impact on decision making and clinical practice. The objective of this article was to review orthopedic registries to examine aspects of patient demographics, implant use, and revision outcomes in relation to knee replacement surgery. Six national arthroplasty registries with more than 10 years of data were selected for a review. Despite the geographic diversity, the demographics of patients referred for surgery and subcategories of surgery were remarkably similar. For cemented total knee replacement, minimally stabilized devices have been preferred in most countries, and a revision-free result can be expected in more than 94% of cases after 10 years. Partial replacements were used in 6% to 15% of primary cases and had higher revision rates than total replacements, but had lower postoperative mortality and fewer infectious complications. Patellofemoral replacements are used in 1% or less of cases and have a high revision rate.
Prediksi Peningkatan Kunjungan Pasien Dimasa Mendatang Mengunakan Jaringan Saraf Tiruan Backpropagation
Authors: Muhammad Thoriq  , Syaputra Aldo Eko , Eirlangga Yofhanda Septi
Published: May 2024

Sebagai lembaga kesehatan pertama pada suatu wilayah dalam memberikan pelayanan kesehatan jumlah kunjungan pasien tidak bisa kita prediksi kedatangannya dan pada waktu-waktu tertentu jumlah pasien membludak sehingga menjadi tidak sesuai dengan tenaga kesehatan (nakes) yang sedang bertugas. Karena banyak pasien yang datang dan tidak sesuai dengan nakes yang sedang bekerja menyebabkan banyaknya pasien yang mengantri bahkan sampai tidak bisa dilayani dan dianjurkan untuk pemeriksaan besok harinya. Inilah yang menyebabkan pelayanan kesehatan menjadi kurang optimal serta beberapa aspek dari puskesmas tidak berjalan dengan sempurna. Berdasarkan masalah tersebut diatas, perlu dilakukannya sebuah penelitian yang komprehensif guna memperkirarkan jumlah kedatagan pasien dimasa yang akan datang. metode jaringan saraf tiruan (JST) bakcpropagation akan dipakai dalam membantu penelitian ini. Penggunaan metode ini dengan mempertimbangkan bahwa Jaringan Syaraf Tiruan mempunyai kemampuan belajar dari pola-pola yang di masukan di ajarkan dan melakukan komputasi dengan paralel. Data yang dipakai meneliti adalah data kunjungan-kunjungan pasien pada tahun lampau yang akan dijadikan data training. Tujuan dari penelitian ini mengharapkan JST menggunakan Backpropagation dapat memperkirakan keberhasailan latihan kerja secara akurat. Hasil dari penelitian ini adalah Setelah dilakukan tahapan propagasi balik. Hasil prediksi yang optimal diperoleh sebesar 0.98946, mendekati nilai target (1). Terdapat kemungkinan kesalahan sebesar 0.00011 atau 0.01% yang terjadi.
Model Keselarasan Bisnis dan TI untuk Perencanaan Tata Kelola TI berdasarkan COBIT 5
Authors: Yoppy Mirza Maulana
Published: May 2024

Tata kelola teknologi informasi (TKTI) merupakan pengelolaan TI dengan memastikan bahwa penerapan TI dapat meningkatkan kinerja dan mewujudkan tujuan organisasi. Adapun keberhasilan TKTI adanya keselarasan bisnis dan TI (Business-IT Alignment) atau dikenal dengan BITA. BITA merupakan suatu kondisi visi, misi, tujuan organisasi dapat didukung dengan adanya TI. BITA merupakan isu penting dalam perspektif para eksekutif, karena BITA dapat memaksimalkan investasi TI dan meningkatkan kinerja organisasi sehingga dapat mewujudkan tujuan organisasi. BITA dapat diimplementasikan dalam TKTI dengan dukungan framework Control Objectives for Information and Related Technology yang dikenal COBIT. Oleh sebab itu tujuan penelitian ini membuat model BITA untuk perencanaan TKTI berdasarkan COBIT yaitu versi 5. COBIT 5 merupakan versi lanjutan dari COBIT 4.1, yang memiliki fitur lebih lengkap yang meliputi integrasi framework, standard, dan resource lainnya. Penelitian ini menghasilkan Model BITA dengan 5 tahapan berdasarkan COBIT 5 dan model di implementasikan dengan studi kasus di Universitas Dinamika. Setelah model ini diimplementasikan, maka dapat disimpulkan bahwa model ini dapat dijadikan panduan dalam merencanakan TKTI pada suatu organisasi.
Analisis Kepuasan Pengguna Pijar Sekolah SMK Kesuma Bangsa Dengan EUCS Dan TAM
Authors: Ismail Rendy , Nugroho Handoyo Widi
Published: May 2024

With the help of Pijar Sekolah, educational institutions can create interesting and fun digital curricula. Interactive Digital Books are one of the thousands of digital resources available at Pijar Sekolah, Digital Books, Learning Videos, and Virtual Laboratories that can be used by all students to support learning at school. PLS is a classification of SEM transformation modeling methods, and SEM analysis is a combination of regression analysis, factor analysis and path analysis. The margin of error for this research is 95%. To determine satisfaction with the Pijar Sekolah Application using the Technology Acceptance Model TAM and End User Computing Satisfaction EUCS. The population of this study were Pijar Sekolah users, sampling used the Slovin Formula, data analysis using SmartPLS version 3.2.9 with PLS-SEM. As a result, of the seven approved hypotheses, two hypotheses were accepted and the other five were rejected. So the factors that influence user satisfaction are ease of use and format. The results of this research show a picture of user satisfaction with the Pijar Sekolah system. For future researchers, they can carry out a development model by adding variables for user satisfaction, namely the perception of enjoyment variable, namely to find out how comfortable the user is when using the system.
Sistem Pendukung Keputusan Pemilihan Wireless Router Menggunakan Pendekatan Rank Reciprocal dan ARAS
Authors: Tonggiroh Mursalim , Nurhayati Siti , Yakub  , Jusmawati
Published: May 2024

Internet telah menjadi kebutuhan esensial, menjadikan wireless router sebagai infrastruktur yang tak terpisahkan dalam menyediakan akses internet. Namun, dalam memilih perangkat router wireless yang tersedia di pasaran, pengguna sering kali dihadapkan pada kompleksitas informasi dan kebingungan dalam menentukan pilihan terbaik. Tujuan dari penelitian ini yaitu untuk mengembangkan sistem pendukung keputusan dalam menentukan perangkat wireless router yang tepat dan cepat melalui kombinasi pendekatan pembobotan Rank Reciprocal dan metode Additive Ratio Assessment (ARAS). Pendekatan Rank Reciprocal dapat memberikan bobot pada setiap kriteria berdasarkan peringkatnya, di mana bobot tersebut merupakan nilai kebalikan dari peringkatnya. Sedangkan alternatif terbaik ditentukan menggunakan metode ARAS melalui perhitungan skor kegunaan untuk setiap alternatif dengan cara menghitung rasio dari penjumlahan produk bobot kriteria dan nilai kinerja setiap alternatif terhadap nilai optimal yang dapat dicapai. Penelitian ini menghasilkan SPK yang dapat merekomendasikan wireless router terbaik dengan menunjukkan perangkingan alternatif. Output yang dihasilkan oleh sistem dan perhitungan manual dari studi kasus pada penelitian ini, didapatkan nilai utilitas untuk altertantif terbaik yang sama yaitu TP-Link Archer AX23 (A3) dengan skor 0,8999. Pengujian usability testing mencapai rata-rata nilai sebesar 87,5%, mengindikasikan bahwa sistem tersebut dapat diterapkan karena telah sesuai dengan kebutuhan penggunanya.
Pengembangan Pengembangan Learning Management System (LMS) dengan Pendekatan Self Directed Learning (SDL) untuk Sekolah Menengah Kejuruan (SMK) di Kota Pekanbaru
Authors: Ismanto Edi , Herlandy Pratama Benny , Renita Rahmadani
Published: May 2024

Perkembangan Learning Management System (LMS) telah mengalami evolusi yang signifikan dalam bidang pendidikan. Seiring dengan pergeseran menuju pembelajaran online dan kemajuan teknologi, LMS telah berkembang menjadi platform yang mengintegrasikan teknologi canggih seperti cloud computing, big data analytics, dan kecerdasan buatan. Hal ini memungkinkan LMS modern untuk menyediakan pengalaman pembelajaran yang lebih personal, adaptif, dan responsif terhadap kebutuhan individu. Pengembangan pembelajaran online sangat penting untuk SMK Muhammadiyah 3 Pekanbaru yang saat ini masih mengandalkan media tradisional. Selain itu aksesibilitas terhadap materi pembelajaran yang juga masih terbatas. Kurangnya dukungan sistem pembelajaran online telah mengakibatkan rendahnya minat dan hasil belajar siswa. Penelitian ini menggunakan pengembangan model Waterfall dengan pendekatan Self Directed Learning (SDL) untuk mengembangkan model LMS yang menarik dan efektif. Pengembangan LMS ini bertujuan menciptakan model pembelajaran online yang efektif yang fokus pada siswa untuk meningkatkan minat belajar dan memperbaiki hasil belajar. Teknik pengujian Usability digunakan untuk menguji antarmuka pengguna, navigasi, dan kemudahan penggunaan sistem secara keseluruhan. Berdasarkan hasil validasi Black box didapat nilai sebesar 100%, serta pengukuran aspek Usability sebesar 85%, dengan demikian LMS ini sangat lanyak untuk digunakan.
Augmentasi Data pada Prasasti Logam untuk Deteksi Aksara Kawi
Authors: Rachmat Santoso
Published: May 2024

Deep learning telah diterapkan di berbagai bidang seperti pembacaan aksara pada prasasti. Beberapa penelitian telah menerapkan deep learning dan menciptakan model dengan akurasi yang tinggi untuk melakukan deteksi dan pengenalan aksara pada prasasti.  Seperti diketahui deep learning memerlukan data dalam jumlah yang besar dan bervariasi untuk menghasilkan model dengan performa yang tinggi. Namun sayangnya, tidak semua data memiliki jumlah yang cukup besar untuk mendukung proses pelatihan dengan deep learning. Data Prasasti merupakan salah satu contoh data yang memiliki jumlah terbatas karena susah untuk ditemukan. Untuk mendukung ketersediaan data dalam jumlah besar serta bervariasi, penelitian ini menerapkan augmentasi pada data aksara di prasasti untuk memenuhi kebutuhan dataset pelatihan deep learning. Teknik augmentasi data yang digunakan telah disesuaikan dengan data berjenis aksara, seperti rotasi, translasi, zoom, blur serta kombinasi antara teknik tersebut untuk menciptakan variasi baru. Penelitian ini menggunakan 3 (tiga) sampel data gambar yang diambil dari salah satu lempeng Prasasti Waruṅgahan. Menerapkan 19 teknik augmentasi data, penelitian ini menghasilkan data baru dengan jumlah yang besar serta bervariasi. Sebelum augmentasi, data gambar hanya sebanyak 3 (tiga) data dengan total 285 label. Setelah augmentasi dilakukan, jumlah data meningkat menjadi 60 data gambar lempeng dengan total 4975 label. Hasil augmentasi data ini digunakan sebagai dataset pelatihan untuk YOLO object detection. Hasil pelatihan yang dilakukan pada penelitian lain menunjukkan bahwa penambahan jumlah serta variasi data meningkatkan akurasi pendeteksian aksara khususnya pada Prasasti Waruṅgahan.