bluuebunny/crossref_metadata_2025 huggingface dataset:
SMART RAIL SAFETY SYSTEM: MONITORING TRACK CONDITIONS AND PREVENTING DERAILMENTS
Authors:   Department of ECE  RVR&JC College of Engineering Guntur,India, kanth Mr.P.V.Krishna
Published: April 2024

The proposed Railway Track Management System is designed to detect faults in railway tracks by continuously monitoring track vibrations using accelerometers installed along the track. These accelerometers measure the vibrations caused by passing trains and other environmental factors. When an abnormal vibration pattern indicative of a track fault is detected, the system triggers an alarm using a buzzer and displays a message on an LCD screen located at the control center. One of the key features of the Railway Track Management System is its ability to identify various types of track faults, including track misalignment, cracks, and loose fasteners, based on distinct vibration signatures. By leveraging advanced signal processing algorithms, the system can differentiate between nor- mal track vibrations and those caused by faults, thus minimizing false alarms. Upon detecting a fault, the Railway Track Management System provides real-time notifications to railway maintenance personnel, enabling prompt action to be taken to address the issue before it escalates. Additionally, the system logs and records fault data, allowing for detailed analysis and predictive maintenance planning Index Terms—Railway Tracks, IR sensor, NodeMCU , MAX30102,L298N Motor Driver
SENTIMENT ANALYSIS OF WEIBO COMMENTS BASED ON CONVOLUTIONAL NEURAL NETWORK
Authors:   Dept. of Computer Science,  Sethu Institute of Technology,  Pulloor, Tamil Nadu 626115., M Er. Saranya,
Published: April 2024

Sentiment analysis of social media comments plays a crucial role in understanding public opinion and sentiment trends. This study focuses on sentiment analysis of Weibo comments, a popular microblogging platform in China, using a (CNN) approach. We propose a novel methodology that leverages the inherent structural dependencies among comments and users in the Weibo network to capture nuanced sentiment patterns. By representing Weibo comments as a graph, with users and comments as nodes and their interactions as edges, we exploit the relational information to enhance sentiment classification accuracy. Furthermore, we employ attention mechanisms to prioritize influential users and comments in the sentiment analysis process. Through extensive experiments on real Weibo datasets, our proposed CNN-based sentiment analysis framework demonstrates superior performance compared to traditional methods, achieving high accuracy in sentiment classification tasks. This research contributes to advancing sentiment analysis techniques in social media platforms and provides valuable insights for understanding public sentiment dynamics in online communities like Weibo.
A Direct Method to Solve Double Refined Indeterminate Triangular Neutrosophic Linear Programming Problem
Authors:   Department of Mathematics, Sri Ramakrishna College of Arts & Science for Women, Coimbatore, Tamil Nadu, India., R Gokilamani.
Published: April 2024

Double Refined Indeterminate Triangular Neutrosophic Number (DRITrNN) provides the additional possibility to represent with sensitivity and accuracy the uncertain, imprecise, incomplete and inconsistent information. In this article a Linear programming problem is considered in DRITrNN situation and an efficient novel algorithm is proposed to solve the LPP with variables in the form of DRITrNN and its efficiency is validated with Numerical illustration. Keywords: Single valued triangular neutrosophic number , Double Refined Indeterminate Triangular Neutrosophic Number , Linear Programming Problem, Algorithm.
Poverty Detection Using Satellite Imagery
Authors:   Department of Computer Science and Engineering  Rajiv Gandhi Institute of Technology  Banglore-560032 , Karnataka, Y Govinde Gowda
Published: April 2024

As the universe finds it challenging to define poverty, the world bank views poverty as anyone living below $2 per day. Government and international organizations are working to eradicate this poverty. The study reviews some research on satellite images on the prediction of poverty through the concept of CNN. The study split the datasets satellite images of four (4) countries: Nigeria, Mali, Malawi, and Ethiopia obtained from Kaggle in 90% for training with 15% of it for validation and 10% for testing. The datasets were analyzed using CNN, VGG16, ResNet50, which shows that the VGG16 model performs better than the other two models with the validation accuracy of 94%, while CNN has 91%. ResNet has the lowest validation accuracy of 62%. The rise of high-resolution satellite images that contain extensive data of regions or countries' patterns, features, and landscapes can be applied to determine the economic livelihood of people or nations. The application of satellite images to the prediction of poverty is much easier, faster, and less expensive compared to more the prediction becomes more accessible. This study recommends the need for the availability of large satellites images for every region or country. Future researchers should focus on satellite images to predict poverty and the application of satellite images in detecting crime, road traffic, agricultural soil, and the like. Key Words: Convolutional Neural Network, Residual Network, Satellite Images, Architectural Neural Network, Support Vector Machine, Visual Geometry Group.
Detection and Caption Generation of Image Using Deep Learning
Authors:   Vidya Pratishthan’s Kamalnayan Bajaj Institute of Engineering and Technology, Baramati, Mate .Jivan
Published: April 2024

In this research paper, we employ a combination of CNN and LSTM to tackle image caption generation, a task at the intersection of natural language processing and computer vision. We meticulously discuss key concepts in photograph captioning and its methodologies, leveraging resources like the Keras library, numpy, and Jupyter notebooks. Our research also delves into the flickr_dataset and CNN for photo classification, aiming to shed light on the intricate processes underlying image understanding and caption generation. Keywords- CNN ,LSTM, Image captioning, Deep Learning.
Smart Safety Belt
Authors:   Assistant Professor, Department of Information Technology, Sir Visvesvaraya Institute of Technology, Nashik, Maharashtra, India, Kashid Dr. Pratibha
Published: April 2024

This project is all about creating a special Belt designed to enhance Smart's safety. In today's world, Smart Women often feel vulnerable and concerned about their well-being, especially when they are out alone or in unfamiliar surroundings. To address this issue, we have developed a smart Belt equipped with features like GPS, a distress signal, a camera. All these components are controlled by a small computer called ESP 32. The primary goal of this project is to make Women feel safer and more in control of their personal security. If a woman ever finds herself in an unsafe situation, she can use the Belt to send her location to the police, her family, or trusted contacts. The Belt also includes a notification to alert people. In case of a physical threat, the Belt can capture an image of the person for possible identification. Our project demonstrates that this innovative Belt can provide a practical and reliable solution for Smart's safety concerns. We envision a future where such technology can be further expanded to safeguard other vulnerable groups and individuals, making the world a safer place for everyone. Key Words: Smart's Safety, Smart Belt, GPS Technology, Distress Signal, Personal Security, ESP 32 Control
DETECTA – MULTIPLE DISEASE DETECTION
Authors:   Department of Computer Science and Engineering  Rajiv Gandhi Institute of Technology  Bengaluru- 560032, Karnataka, A Dr. Arudra
Published: April 2024

Machine Learning Techniques for Predictive Analytics in Healthcare There are multiple techniques in machine learning that can in a variety of industries, do predictive analytics on large amounts of data. Predictive analytics in healthcare is a difficult endeavor, but it can eventually assist practitioners in making timely decisions regarding patients' health and treatment based on massive data. Diseases like Breast cancer, diabetes, and heart-related diseases are causing many deaths globally but most of these deaths are due to the lack of timely check-ups of the diseases. The above problem occurs due to a lack of medical infrastructure and a low ratio of doctors to the population. The statistics clearly show the same, WHO recommended, the ratio of doctors to patients is 1:1000 whereas India's doctor-to- population ratio is 1:1456, this indicates the shortage of doctors. The diseases related to heart, cancer, and diabetes can cause a potential threat to mankind, if not found early. Therefore, early recognition and diagnosis of these diseases can save a lot of lives. This work is all about predicting diseases that are harmful using machine learning classification algorithms. In this work, breast cancer, heart, and diabetes are included. To make this work seamless and usable by the mass public, our team made a medical test web application that makes predictions about various diseases using the concept of machine learning. In this work, our aim to develop a disease-predicting web app that uses the concept of machine learning-based predictions about various diseases like Breast cancer, Diabetes, Heart diseases, Covid, Pneumonia, Alzheimer.
Statistical Analysis on Turmeric Production and Price Movement in Tamil Nadu
Authors:   Sri Ramakrishna College of Arts & Science For Women, Coimbatore, Tamil Nadu, V .MALLIKA
Published: April 2024

Since ancient times, agriculture has been one of the chief factors in the advancement of many nations. Also, it has been a huge contributor to the GDP (Gross Domestic Product). But the farmers and the small-scale retailers are still unaware of the demand and supply of the commodities in mandis. Ultimately, they are compelled to use the repetitive pattern of crops. Through knowledge of the intra-mandi prices for seasonal crops is necessary to gain the desired profit. Price trends in several Tamilnadu markets were investigated for Turmeric in order to forecast price volatility and problems that produce mandi-level projections, enhancing its usefulness. Given that medicinal crops have various medical and culinary uses, boosting their productivity could increase farmers' profits in comparison to typical pattern crops. So, the aim of this study is to evaluate the optimum preferred crop conditions for Turmeric with respect to profit. A data from the past decade was screened to observe the variation in prices of the crops along with production analysis. Also, it was validated statistically by various statistical measures like Standard Deviation, Mean and Coefficient of Variation. We examined intra-mandi prices and found that prices fluctuate over the whole peak season, with notable fluctuations in modal prices among several mandis. To demonstrate the variations in pricing reported for certain mandis on specific days, we've given a few instances. A low standard deviation implies that the commodities price is clustered around the mean, whereas a large standard deviation shows that the commodities price is more dispersed. Price volatility is the discrepancy between what is anticipated and what occurs. Keywords: Agriculture, Turmeric, Marginal farmers, Price Movement
SECURITY IN SOCIAL MEDIA: AWARNESS OF PHISHING ATTACKS TECHNIQUES AND COUNTER MEASURES
Authors:   Department of Computer Science and Engineering Rajiv Gandhi Institute of Technology  Bangalore-560032, Karnataka, T Mr. Umesh
Published: April 2024

As time and technology progresses, the social media security is one of the basic and most important aspects to consider when browsing the internet.Nowadays all people using social media mostly, using social media is widely spread among different age groups to meet several purposes including education, entertainment, or even pursue a research. With the increase of using smartphones and social media, the cyber security threats also increased. The most widely- perpetrated form of social media attacks is phishing; it is used to gather sensitive personal and professional information such as social security numbers, credit card numbers, bank account numbers, user logins and passwords, as well as other information entered through a web site or online sources. Furthermore, many users of different age groups and mainly the old age people have been exposed to social media security violations most times due to a lack of awareness about phishing attacks and how to address with them. Our paper focuses primarily to make people of all age group aware of exposure to this type of attack while using social media networks. Key Words: Cyber security, Social media, Phishing attack
EMOTION BASED MUSIC PLAYER
Authors:   Assistant Professor, Department of Computer Science and Engineering, Tirumala Engineering College, Shaik Mrs. Shammi
Published: April 2024

Recent studies suggest that humans have a strong bond with music and it plays a crucial role in shaping brain function. It is common for individuals to spend around four hours daily immersing themselves in music that aligns with their emotions and preferences. This initiative aims to create an application that utilizes facial expressions to suggest songs that match the user's mood. Facial cues are vital for non-verbal communication. The Emotion-based music player introduces a groundbreaking idea of selecting music for users based on their emotions. The system uses facial recognition technology to understand the user's emotions and selects music that fits their mood. Computer vision is a versatile tool that enables computers to interpret images and videos effectively. By analyzing facial expressions, the system can determine the user's emotional state and suggest a playlist accordingly, saving time and effort. Key Words: Music, Emotions, Facial Recognition, Computer Vision
Efficient Microstrip Monopole Antenna Design for Multi Technology Wireless Applications
Authors:   RVR&JC CE,  Guntur, A.P India,, K . Pradeep Kumar,
Published: April 2024

The demand for compact, efficient antennas capable of supporting multiple wireless communication standards continues to drive innovation in the field. In this paper, we present a novel approach to designing microstrip monopole antennas, leveraging a unique set of design equations to achieve superior performance across 3GHz and 6GHz frequency bands. Additionally, we explore the development of array antennas by combining two microstrip monopoles, offering enhanced gain and radiation characteristics compared to single-element designs. By varying array substrate material, we aim to further optimize performance for applications such as WiFi, LTE, and WiMax. Keywords- Microstrip antenna, broadband monopole antenna, dual band monopole antenna, compact monopole.
A Comprehensive Survey of Security Challenges and Solutions of Industrial Internet of Things (IIoT) Networks
Authors:   Department of Electronics and Communication, Dayananda Sagar Academy of Technology and Management, Bangalore, Karnataka, India, Kumari Anusha
Published: April 2024

Despite the transformative potential of the Industrial Internet of Things (IIoT) in optimizing industrial operations, significant security and privacy challenges persist, underscoring the need for comprehensive solutions. This paper addresses this research gap by presenting a thorough survey of the security challenges and solutions in IIoT networks. Drawing from the extensive literature on IIoT, we identify and categorize key threats such as malware attacks, data breaches, and supply chain vulnerabilities. Additionally, we explore privacy concerns arising from the vast amounts of sensitive data collected and transmitted by IIoT devices. This analysis highlights the critical importance of encryption mechanisms, access controls, and authentication protocols as fundamental security measures. By synthesizing current research, this paper provides insights to guide the development of robust security strategies for IIoT deployments. Addressing these challenges is crucial to maintaining the reliability and integrity of industrial operations, and safeguarding against production disruptions, financial losses, and safety hazards. Through robust security measures and privacy-enhancing technologies, IIoT deployments can foster trust, compliance, and innovation in industrial settings, driving the evolution towards smart factories and connected enterprises. Keywords – Industrial Internet of Things, Cyber Security, Network Security, Threats.
Variant.ai
Authors:   Chouksey Engineering College, Mishra Satyendra Kumar
Published: April 2024

This research paper presents a novel approach to developing a Software as a Service (SaaS) AI platform aimed at revolutionizing user interactions through dynamic conversations facilitated by an advanced AI conversation model. The platform prioritizes user-centric design, leveraging cutting-edge technologies to ensure a seamless and visually engaging experience. Key features include an emphasis on visual excellence through meticulous UI design and animations, as well as robust data integrity measures implemented for secure user data management. The platform also emphasizes operational resilience, with effective server error handling mechanisms in place to enhance user experience. Additionally, the integration of a Conversation Generation Tool, powered by advanced AI models, further enhances user engagement by enabling interactive and dynamic conversations. This research contributes to the advancement of SaaS platforms by demonstrating innovative approaches to user-centric design and AI integration. Key Words: Software as a Service (SaaS), Dynamic conversations, Advanced AI models, Conversation Generation Tool
ACCESSIBILITY SYSTEM TO CONTROL LAPTOP WITHOUT MOUSE OR KEYBOARD
Authors:   COMPUTER SCIENCE AND ENGINEERING   TIRUMALA ENGINEERING COLLEGE, REDDY CH. AKASH
Published: April 2024

The pandemic has brought about a significant change in technology, leading to the creation of a virtual mouse as a substitute for a traditional one. This innovative system utilizes a webcam or built-in camera to capture frames, which are then analyzed through computer vision to enable tracking. Users can control mouse functions by performing gestures, making it a device-free solution, although it does require a battery and a connected dongle. The development and adoption of this virtual mouse represents an active area of research. In basic terms, the system captures images with a camera, processes them for tracking, and responds to user gestures for mouse movement, ultimately eliminating the need for a physical device. Key Words: Virtual Mouse, real camera, web camera, media pipe, computer vision, images capture or video.
Waterflood reservoir modelling for Chirag oilfield
Authors:   SOCAR, Baku, Azerbaijan, Aliyev N. Sh.
Published: April 2024

This article describes the studies carried out to determine the impact of all available laboratory measured oil-water relative permeability data upon the predicted waterflood performance of the Chirag field of the GCA megastructure. Sector and cross-section models were built of the A-6, A-11 and A-13 area using appraisal well GCA-1 core data. A-6 is the first well in Chirag field to have cut water and is the best candidate well for calibrating the laboratory relative permeability data. Simulations using various wateroil relative permeability curves predicted a wide range of water breakthrough times for A-6 and A-11. It was not possible to obtain a good history match of A-6 water production from core relative permeability curves. Grid size sensitivities were studied using a cross-section model. The results show that optimisation of grid size gives an improved match to the actual field history. Static reservoir parameters and aquifer size were also found to have a major impact on the waterflood performance and by adjusting certain key parameters a good history match to the historic A-6 performance could be achieved with the optimised grid. Keywords: Chirag; relative permeability; simulation sensitivity; cross-section model; reservoir description; grid-size; water breakthrough time; history matching.
Recovery of oil viscosity values according to its additive parameters
Authors:   Ufa State Petroleum Technological University, Ufa, Russia, Valeev A. R. , Tashbulatov R. R. ,   Ufa State Petroleum Technological University, Ufa, Russia, Barabanshchikova T. A. ,   Ufa State Petroleum Technological University, Ufa, Russia
Published: April 2024

Considering the complexity of mixtures formed within extensive and intricate pipeline networks, determining the viscosity of mixtures through a computational method that utilizes parameters conducive to additivity is advantageous. These parameters may include the density and component composition, as well as corresponding derivatives, such as the content of paraffins, resins, asphaltenes, and fractional composition. This study explored the relationship between the viscosity and these parameters. A linear regression model for estimating the logarithm of the viscosity was developed, where significant regression coefficients were identified, and the prediction error was assessed through cross-validation. A similar approach was adopted for the second-order regression analysis. This analysis incorporated linear regression including parameters pertaining to the fractional composition. Formulas for calculating the viscosity based on the identified properties were derived and the respective errors were evaluated. Keywords: oil; viscosity; Arrhenius formula; cross-validation; paraffin; resins; asphaltenes; database.
An enhanced oil recovery technology applicable to kazakhstan reserves with highly viscous oils
Authors:   Caspian University of Technology and Engineering named after Sh.Yessenov, Aktau, Kazakhstan, Bissembayeva K. T.
Published: April 2024

The subject of discussion of the article below is polymer flooding as an EOR (enhanced oil recovery) technique considered here within the context of Kazakhstan’s depleted oil-fields exploitation. The underlying factor for considerable residual hydrocarbon saturation observed in the productive reservoirs of the majority of Kazakhstan’s oil fields connected with their stratified heterogeneous structures. Such kind of Oil Reservoirs require additional developments comprising new technologies promoting enhanced oil-recovery. Keywords: viscosity; inhomogeneity; polymer flooding; polyacrylamide; degree of inhomogeneity; permeability; catholyte; trim.
Ortaokullarda Görev Yapan Beden Eğitimi Öğretmenlerinin Kaynaştırma Öğrencilerine Yönelik Ders Uygulamalarının İncelenmesi
Authors: Yaşlı Tülay , Güllü Mehmet
Published: April 2024

Bu çalışmada, ortaokullarda görev yapan beden eğitimi öğretmenlerinin kaynaştırma öğrencilerine yönelik ders uygulamalarının incelenmesi amaçlanmıştır. Çalışmanın örneklem grubu amaçlı örneklem türlerinden ölçüt örnekleme yöntemi ile belirlenmiştir. Örneklem grubunu Mersin, Sakarya, Trabzon, İzmir, İstanbul, Ağrı, Gaziantep, Malatya, Muş, Bitlis, Adıyaman ve Sivas illerinde ortaokullarda görev yapan sınıfında kaynaştırma öğrencisi bulunan 26 beden eğitimi öğretmeni oluşturmuştur. Veriler, yarı yapılandırılmış görüşme formu ile toplanmış ve içerik analizi ve betimsel analiz yöntemi ile çözümlenmiştir. Araştırma bulguları, genel olarak öğretmenlerin kaynaştırma öğrencileri için yeterince uyarlama ve çeşitlendirme yapmadığını, farklı yöntem teknik kullanmadığını, yaptıkları uygulamaların ise yetersiz ve sınırlı olduğunu göstermiştir. Ayrıca diğer öğrencilerin kaynaştırma öğrencilerine karşı yaklaşımında farklılıklar olduğu, kaynaştırma öğrencilerin başarıları değerlendirilirken öğretmenlerin genellikle ayrı bir ölçek uygulamadığı sonucuna ulaşılmıştır. Bu nedenle derslerde kaynaştırma öğrencileri için geliştirilmiş ve uyarlanmış spor branşlarına yer verilmeli, farklı araç gereçlerden yararlanılmalı, beden eğitimi dersinde kaynaştırma öğrencileri için uygulanabilir farklı yöntem ve teknikler geliştirilerek öğretmen ve öğrencilerin hizmetine sunulmalıdır.
Yoga Yapan Bireylerin Yaygın Kaygı Bozukluğu, Psikolojik Sağlamlık ve Mutluluk Düzeylerinin İncelenmesi
Authors: Koser İlknur Ezgi , Kolukısa Şevki
Published: April 2024

Amaç; Yoga yapan bireylerin yaygın kaygı bozukluğu, psikolojik sağlamlık ve mutluluk düzeylerinin belirlenmesidir.
Gereç ve Yöntem: Çalışmaya yoga yapan 150 kişi katılmıştır. Araştırmada kullanılan veri toplama araçları; “Kişisel Bilgi Formu”, “Yaygın Kaygı Bozukluğu (YAB-7), “Kısa Psikolojik Sağlamlık Ölçeği” ve “Oxford Mutluluk Ölçeği-Kisa Formu” dur.
Bulgular: Katılımcıların yagın kaygı bozukluğu puan ortalamaları 5,25±4,25 olarak bulunmuştur. Katılımcılarının psikolojik sağlamlık puanlarına bakıldığında ortalamalarının 20,02±2.25 olduğu görülmekte olup mutluluk ortalamalarının ise 23,17±3,02 olduğu saptanmıştır.
Katılımcıların yoga yapıyor olmaları ile yaygın kaygı bozukluğu düzeyi arasında negatif yönlü, psikolojik sağlamlık ve mutluluk düzeyleri arasında pozitif yönlü anlamlı bir istatiksel ilişki saptanmıştır (p
Assessing the Complex Interplay of China’s Fertility Policy Adjustments and Female Employment Dynamics: An In-depth Analysis of the Digitalized HRM Landscape in the Age of AI and Big Data
Authors: Zhang Jiayue , Jamil Rossilah
Published: April 2024

The fertility policy adjustments are occurring against a backdrop of rapid technological advancement, characterized by the integration of big data analytics and artificial intelligence (AI) into human resource management (HRM) practices. In the banking sector, as in many other industries, the adoption of these technologies has become increasingly pervasive. This study explores the intricate relationship between fertility policy adjustments, the integration of big data and AI in HRM practices, and employee satisfaction within China's banking sector. In response to evolving demographic and technological landscapes, the research aims to uncover how fertility policy adjustments influence female employment dynamics, the adoption of big data and AI in HRM, and ultimately, employee satisfaction. Utilizing a quantitative research design, structured surveys were administered to female bank employees. The resulting data were rigorously analyzed using the Statistical Package for the Social Sciences (SPSS). The study underscores the practical significance of optimizing HR technologies, particularly big data analytics and AI, for enhancing both HR functions and employee satisfaction. It also emphasizes the importance of data-driven HR practices and predictive employee retention strategies as crucial tools in creating responsive and supportive work environments. Additionally, this research contributes to HRM theory by recognizing the pivotal role that technology integration plays in shaping modern HR strategies and organizational success. While acknowledging its limitations, this study lays the foundation for future research, including studies that are longitudinal, comparative, and qualitative studies, to offer a more comprehensive understanding of the complex dynamics in the contemporary workplace.
Distinct But Not Separate: Rethinking Maritain’s Distinction of Planes to Recover his Democratic Potential
Authors: Knoll Travis
Published: April 2024

Few Catholic theologians wielded as much influence over the Twentieth-Century Catholic Church as Jacques Maritain. Furthermore, few have stirred as much global controversy in the realm of theological politics (especially in the area of global affairs). Considered treasonous by Latin American conservatives and impractical by those arguing for a politically active church, Maritain’s work touts a contemplative moderation that frustrates all political sides. Maritain’s canon daunts even the best readers and often breeds practical misinterpretation of his own philosophy. Using primary sources from Argentina and Brazil, this article reexamines Maritain’s distinction of the spiritual and worldly planes and its application of Maritain’s political thought during both the Spanish Civil War period and Brazil’s 21-year dictatorship (1964-1986). It thereby pushes back on longstanding theological critiques of this distinction. Far from advocating a church aloof from the political sphere, Maritain advocated for a vigorous engagement with it while maintaining the church’s spiritual integrity.
Revisiting Maritain in the Present Context—A Response to Gilbrian Stoy, Travis Knoll, and Brian Boyd
Authors: Cavanaugh William T.
Published: April 2024

In this article, William Cavanaugh responds to Brian Boyd’s critique of Cavanaugh’s use of Jacques Maritain’s work in Cavanaugh’s book Torture and Eucharist. The article reassesses Maritain’s views on the state, the church, and the laity in light of Boyd’s analysis, which accepts Cavanaugh’s critique of Maritain on the state but rebuts aspects of Cavanaugh’s critique of Maritain’s views on the church and the laity. Cavanaugh accepts some of Boyd’s rebuttals, such as his defense of Maritain’s views on the formation of laity and the temporal authority of bishops, but Cavanaugh pushes back on others, such as Maritain’s views on the relationship of ends to means and eternity to time. After discussing the differences among Maritain’s context, the context of Pinochet’s Chile, and the present context of the church in Latin America and Europe, Cavanaugh argues for a different form of Christian politics that rises from the grassroots rather than tries to sway elites.
Partners in Forming the People: Jacques Maritain, Saul Alinsky, and the Project of Personalist Democracy
Authors: Hayes-Mota Nicholas
Published: April 2024

At first glance, Jacques Maritain, the influential Catholic philosopher, and Saul Alinsky, the infamous “dean” of community organizing, could scarcely be more different, in temperament or reputation. Nevertheless, for nearly three decades, these two men were close friends and dedicated collaborators, drawn together by a passionate commitment to democracy. By reading the two alongside each other, this article offers a new interpretation of both. After historically contextualizing the relationship between Maritain and Alinsky, it advances two major claims about their democratic thought. First, it shows that Maritain and Alinsky shared a commitment to a political project best described as “personalist democracy,” insofar as it founded democratic politics upon a specific ethical (and, for Maritain, theological) conception of the human person. Second, the article argues that both thinkers understood personalist democracy to be realizable, in practice, only through a particular kind of democratic organization. They saw the process of organizing as the indispensable means for forming the diffuse persons who comprised society into a coherent “people,” capable of acting for the common good and, in so doing, discovering their own dignity. The article concludes by offering reasons why the project of personalist democracy, as Maritain and Alinsky conceived it, may still have much to offer today.
Catholic Social Teaching: Toward a Decolonial Praxis
Authors: Mikulich Alex
Published: April 2024

The claims to universality in the thought of Jacques Maritain and Catholic social teaching present a problem. The thought of Jacques Maritain and Catholic social teaching tend not to perceive their own entanglement in modernity and its hidden underside of colonial oppression. First, I explore this problem by drawing upon the scholarship of Catholic social ethicist Mary E. Hobgood to underscore the internal contradictions between three different social models in Catholic social teaching: feudal organic, liberal orthodox, and radical liberationist. I situate Maritain’s work within these social models. Second, I utilize Sylvia Wynter’s appropriation of Franz Fanon’s sociogenetic approach as a way of understanding how people and institutions are malformed by dominant modern epistemologies. I argue that the Roman Catholic Church lacks a coherent and credible praxis of transformation. Finally, I suggest three starting points to initiate shifts toward a decolonial ethic of Catholic social teaching.
Introduction: Jacques Maritain and Contemporary Challenges to Democracy
Authors: Johnston Laurie , Catta Grégoire
Published: April 2024

Providing an introduction to the collection of articles regarding Jacques Maritain and his relevance for challenges to democracy today, this article describes some of his main themes and the complexity of his intellectual journey. Maritain played a major role in the development of Catholic social teaching on democracy, and can provide moral and spiritual grounding for a renewal of democracy now. He articulates the moral value of democracy as the form of politics that best allows Christians to live out our love of neighbor and love of enemy in concrete ways, while still making appropriate distinction between the spiritual and temporal spheres. Articles in this volume examine the implications of the friendship between Maritain and Saul Alinsky, William Cavanaugh’s interpretation of Maritain’s influence (with a response from Cavanaugh himself), and reflections upon how we can critically appropriate the thought of Maritain in the contemporary context, 50 years after his death. The introduction concludes with words that Maritain addressed to US Catholics in 1939.
Table of Contents, Vol. 13, Special Issue 1, Catholicism, Challenges to Democracy, and the Legacy of Jacques Maritain
Authors: Johnston Laurie , Catta Grégoire
Published: April 2024

Table of Contents, Vol. 13, Special Issue 1, Catholicism, Challenges to Democracry, and the Legacy of Jacques Maritain
Experiences of Dispute Resolution in Non-Court Forums: Justice San
Authors: Vidyasagar Shruti , Naik Shruti
Published: April 2024

Dispute resolution in India involves several actors and institutions – not only courts but also various other forums for alternative means of dispute resolution. While the judiciary is the sole authority responsible for redressing rights’ violations, the problems plaguing the judicial system contribute significantly to parties opting to settle disputes out of court. In this paper, we examine the functioning of some non-court forums, with a special focus on the question of women’s rights, autonomy, and agency in dispute resolution processes. We ask whether the working of such non-court forums is in consonance with the values of the Indian Constitution, especially the rule of law. In the context of women’s rights, we ask whether these forums take a legally neutral or gendered approach, and whether they speak they give primacy to rights or prioritise community and conciliation. To find answers, we analyse data from surveys and interviews undertaken by DAKSH to review the attitudes and approaches of such noncourt forums. We argue that valorising non-court forums as ‘quick, flexible, and effective’ while disregarding their subjectivity, arbitrariness, and lack of accountability – both to the individuals who approach them and to the society in which they function – amounts to a betrayal of constitutional values. We also argue that while all citizens, women included, must have the autonomy to choose any forum to resolve their disputes, that choice must not be governed by tradition, nor be influenced by lack of awareness of rights, or worse, failure of the state in ensuring speedy and effective dispute resolution.
A Right to the Indian City? Legal and Political Claims over Housing and Urban Space in India
Authors: Idiculla Mathew
Published: April 2024

In Ajay Maken v Union of India, a case concerning the legality of the demolition of Shakur Basti in Delhi, a division bench of the Delhi High Court held that slum-dwellers possess the right to housing and shall be protected from forced and unannounced eviction. In arriving at its verdict, the Court invoked an idea popular in urban social movements and international law- ‘The Right to the City’. But what is this Right to the City? And how is it relevant in Indian jurisprudence? This paper examines the meaning and relevance of the Right to the City and explores how it may be exercised and realized in the Indian city. It considers how the Right to the City is articulated globally in national and international legal instruments, traces the Indian jurisprudence on the right to housing, and explicates the political practices of claiming urban spaces in India. This paper argues that for the idea of the Right to the City in India to realize its potential it needs to go beyond a framework based in law and include political strategies that make claims over housing and urban spaces. It argues that the Right to the City is an inherently political and radical claim about remaking cities that challenge the rationalities of laws and masterplans. The paper hence considers both legal and political pathways for realizing the Right to the City and the Right to Housing in India.
Child Sexual Abuse Cases in India and Judicial Officers’ Perceptions and Experiences of POCSO-related Special Training
Authors: Kumar Shailesh
Published: April 2024

Stakeholder training has been considered essential to tackle the problem of poor engagement with child sexual abuse (‘CSA’) victims in the pre-trial and trial stages of the criminal process. Be it stakeholder attitudes and behaviour towards the CSA victims and the accused involved in CSA cases or stakeholders’ procedural practices, more and improved training has been repeatedly emphasised. It is, therefore, pivotal to investigate what kind of special training is imparted to stakeholders under the Protection of Children from Sexual Offences (‘POCSO’) Act, 2012, as well as the challenges and limitations to such training. Also important is to analyse and discuss what, if any, implications such training has on stakeholder engagement with child victims and on CSA cases. This article answers these questions by employing a qualitative empirical method and a new set of data – in-depth face-to-face interviews with 17 judicial officers (Judicial Magistrates & POCSO Special Judges) on their perceptions and experiences of special training to deal with POCSO cases, along with court observations, conducted during six months’ fieldwork (2019-2020) in India. The findings suggest that around half of these respondents received training on POCSO matters. Such training resulted in stakeholders, though not all, implementing the special POCSO procedures during pre-trial and trial stages. Through these findings, the article showcases that there are limitations to special training and to the law itself in its present form, given the infrastructural challenges that exist for these stakeholders and the socio-economic inequalities capturing both victims and accused in registered POCSO cases. Consequently, it aims to contribute to thinking through new ways on effective stakeholder training and of future directions of research, and argues that despite several limitations, the law remains a site of possibility to deliver improved experiences with the justice system to both CSA victims and accused.
Formation of digital literacy among secondary school students in extracurricular activities
Authors: Коросташова В.В. , АршбаТ В.
Published: April 2024

Цифровая грамотность играет важную роль в развитии у обучающихся способностей к самообразованию и социализации в современном информационном обществе, обеспечивающих их профессиональное и личностное становление. Однако опыт участия Республики Казахстан в международных исследованиях показал недостаточный уровень развития цифровой грамотности школьников. Используемые сегодня школьные учебники информатики содержат основу, позволяющую методически грамотно и эффективно проводить пропедевтическую подготовку обучающихся к формированию у них базовой составляющей цифровой грамотности. Но при этом, наблюдается отсутствие организованной системы представления учебных материалов для развития цифровой грамотности. Восполнение этого пробела возможно путём интеграции учебной и внеучебной деятельности, соориентированной на решение данной задачи. В статье представлены результаты экспериментальной работы по подготовке и реализации факультативного курса для школьников «Цифровая грамотность» в школе-лицее «Дарын» (г. Петропавловск, Республика Казахстан). Приведён тематический план курса, описаны показатели цифровой грамотности школьников (информационная грамотность; коммуникация и сотрудничество; создание цифрового контента; карьерные компетенции) и уровни её сформированности. На основе анализа полученных результатов сделан вывод об эффективности использования разработанного курса.

Digital literacy plays an important role in developing students’ abilities for self-education and socialization in the modern information society, ensuring their professional and personal development. The experience of the Republic of Kazakhstan’s participation in international research has shown an insufficient level of development of digital literacy among schoolchildren. School computer science textbooks used today contain a basis that allows them to methodically competently and effectively conduct propaedeutic preparation of students to develop the basic component of digital literacy. But at the same time, there is a lack of an organized system for presenting materials for the development of digital literacy in textbooks. Filling this gap is possible through the integration of educational and extracurricular activities, co-oriented towards solving this problem. The article presents the results of experimental work on the preparation and implementation of an optional course for schoolchildren “Digital Literacy” at the “Daryn” school-lyceum (Petropavlovsk, Republic of Kazakhstan). The thematic plan of the course is given, the indicators of digital literacy of schoolchildren (information literacy; communication and cooperation; digital content creation; career competencies) and the levels of its formation are described. Based on the analysis of the results obtained, a conclusion was made about the effectiveness of using the developed course.
Regional platforms as subjects of innovation infrastructure: types, significance, features of functioning
Authors: Бухтияр Е.С. , Гайдукова В.В.
Published: April 2024

Для успешного функционирования региональной инновационной инфраструктуры должна быть создана система площадок, ориентированных на внесение инновационного вклада по более предметным и локальным областям. Площадки – это образовательные организации, которым присвоен официальный статус, позволяющий разрабатывать, апробировать и предлагать профессиональному педагогическому сообществу инновационные модели содержания образовательной деятельности и управления системой образования. В статье определены и охарактеризованы три вида площадок, организовываемых региональным Институтом развития образования: 1) стажировочные, позволяющие формировать и транслировать инновационный опыт в режиме курсовой подготовки слушателей; 2) передового педагогического опыта, обеспечивающие создание и апробацию инновационных продуктов для региональной системы образования; 3) опорные, действующие в инновационном поле по заказу министерства и создающие актуальные инновации в форме опыта или продукта в соответствии с оперативными изменениями системы образования. Представлены их цель, задачи, принципы деятельности, механизмы координации деятельности.

For the successful functioning of the regional innovation infrastructure, a system of platforms should be created that are focused on making innovative contributions in more subject-specific and local areas. Platforms are educational organizations that have been assigned an official status that allows them to develop, test and offer innovative models for the content of educational activities and management of the education system to the professional teaching community. The article identifies and characterizes three types of platforms organized by the regional institute for educational development: 1) internships, which allow the formation and transmission of innovative experience in the course training of students; 2) advanced pedagogical experience, ensuring the creation and testing of innovative products for the regional education system; 3) supporting ones, acting in the innovation field at the request of the ministry and creating current innovations in the form of experience or product in accordance with operational changes in the education system. Their purpose, objectives, operating principles, and mechanisms for coordinating activities are presented.
Emotiewerk in de reclasseringspraktijk
Authors: Geenen Marie-José , Duin Karlijn
Published: April 2024

Emotion work in probation practice – ‘There is a lot going on inside, but I try not to show it’

In the performance of their work, probation officers are confronted with the emotions of clients and with their own emotions. We asked fifteen probation officers which emotions they encounter in their work, how they express emotions in the interaction with their clients and what they need to maintain their resilience despite the emotional burden of their work. The emotions they experience range from caring, pride, passion to indignation, irritation and disgust. Probation officers realize that expressing emotions is not always desirable in the light of building a working alliance and working on recidivism reduction and reintegration. By means of surface acting and deep acting (Hochschild, 1983) they find their way in sometimes hiding and sometimes feigning emotions. Probation officers indicate that they need space to let off steam and on the other hand the opportunity to reflect with colleagues about what can and cannot be expressed in contact with their clients.
Informatiegestuurd toezicht
Authors: Ruimschotel Dick
Published: April 2024

Informatiegestuurd toezicht – Wat is dat en hoe doe je dat (goed)?

De huidige nadruk bij toezichthouders op data en op informatie- en risicogestuurd toezicht vraagt om nuancering. Zero tolerance toezicht vraagt om andere informatie dan stelseltoezicht. De meest acceptabele ambitie voor modern toezicht is ‘het optimaliseren van effectiviteit van toezicht op korte en lange termijn’. Deze taakstelling vraagt om een sterke informatiepositie in iedere fase van de adequate toezichtcyclus; analyse, strategie, implementatie en evaluatie. Informatie omvat informatie over risico maar is breder, bijvoorbeeld informatie over de omvang van doelgroepen of informatie over beschikbare interventies. Door die verschillende fasen te onderzoeken op wenselijke informatie ontstaat een Basis Informatiemodel (BIM) als een netwerk van verschillende informatie-eenheden; informatie-knooppunten en informatie-producten. Die informatie wordt opgebouwd, veredeld en gebruikt voor toezichtsdoeleinden. BIM kent vier niveaus (BIM4) die oplopen qua complexiteit; van feiten of data naar kennis of inzicht! Zonder de vier niveaus ‘op orde te hebben’ is het erg moeilijk om goed, effectief toezicht uit te oefenen en onmogelijk om optimaal toezicht te realiseren of te claimen. BIM4 kan dan ook gebruikt worden als een groeimodel, een pad om – van niveau 1 tot niveau 4 – te groeien naar een qua informatie volwaardige toezichthouder.
De matiging van een bestuurlijke boete bij de overschrijding van de redelijke termijn
Authors: de Rond Carola
Published: April 2024

De matiging van een bestuurlijke boete bij de overschrijding van de redelijke termijn. Over verschillen en veranderingen in de rechtspraak van de (hoogste) bestuursrechters

Deze bijdrage bespreekt de rechtspraak van de (hoogste) bestuursrechters op het punt van de matiging van een bestuurlijke boete vanwege een overschrijding van de redelijke termijn. De auteur constateert verschillen in de rechtspraak van de hoogste bestuursrechters en een recente verandering in de lijn van de rechtbank Rotterdam op dit punt.