bluuebunny/crossref_metadata_2025 huggingface dataset:
KÜRESEL ENERJİ DÖNÜŞÜMÜ: YEŞİL ENERJİ KAVRAMI VE TEŞVİK PROGRAMLARI
Authors: Kılınç Pala Pınar Buket
Published: February 2024

Yeşil enerji politikası ve enerjinin sürdürülebilirliği ekonomik yapıların, teknolojilerin ve kurumların kapsamlı bir şekilde dönüşümünü gerektirmektedir. Enerji dönüşümlerinin insani, ekonomik boyutlarının anlaşılması için sosyal ve beşerî bilimlerde yürütülen araştırmalar oldukça önemlidir. Tüketicileri sürdürülebilir enerji davranışlarına dâhil etme, yeni teknolojilerin benimsenmesini destekleme ve enerji sistemlerinde politika değişikliklerini teşvik etme konusunda sosyal bilimlerin rolü, göz ardı edilmemelidir. Temiz enerjiye geçiş faktörleri, farklı enerji politikalarının ve enerji sistemi değişikliklerinin kabulünün yanı sıra, birçok enerji davranışlarını etkilemekte ve bundan etkilenmektedir. Yapılan incelemelerde ekonomik kalkınmanın, toplumu ve yenilenebilir enerji yatırımlarını olumlu yönde etkileyeceği anlaşılmaktadır. Dünyanın dört bir yanında yenilenebilir enerji, iklim değişikliği, optimizasyon ve ekonomi konularında uzmanlar, yenilenebilir enerji kaynaklarında kaydedilen ilerlemelerin yanı sıra çevreyi tehlikelerden korumaya yönelik yeni stratejiler tartışılmaktadır. Yenilenebilir enerjinin teşviki, yeşil enerjinin üç ana olumlu yönüyle ilgilidir. Bunlar: Çevre üzerindeki sonuçlar, ülkenin kalkınma düzeyi üzerindeki sonuçlar ve sosyal baskıdır Çevresel etkisi düşük/hiç olmayan verimli enerji dönüşüm sistemlerinin geliştirilmesi; yenilenebilir enerjilerin yaygınlaştırılması için önerilen politikalar; sera gazı emisyonunun kısıtlanması ve CO2 tutulmasında son dönemde kaydedilen ilerlemelerden bazılarıdır. Uluslararası çevre topluluğu ve bazı öncü ülkeler, gelişmekte olan ülkeleri düşük karbonlu enerji gelişimini teşvik edecek yeşil enerji ve yenilenebilir enerji politikaları benimsemeye teşvik etmektedir. Dünyada yenilenebilir enerji yatırımlarının ve yeşil enerji dönüşümünün teşviki için çeşitli kamu politikaları uygulanmaktadır. Çalışma bu politikaları kategorize ederek incelemkte ve Türkiye’nin yeşil, ekonomik ve güvenli enerji arzını destekleyecek önerilere yer verilmektedir.
Colorization of Multispectral Image Fusion using Convolutional Neural Network approach
Authors: Mitul M. Patel Et. al
Published: February 2024

The proposed technique  offers a significant advantage in enhancing multiband nighttime imagery for surveillance and navigation purposes., The multi-band image data set comprises visual  and infrared  motion sequences with various military and civilian surveillance scenarios which include people that are stationary, walking or running, Vehicles and buildings or other man-made structures. Colorization method led to provide superior discrimination, identification of objects (Lesions), faster reaction times and an increased scene understanding than monochrome fused image. The guided filtering approach is used to decompose the source images hence they are divided into two parts: approximation part and detail content part further the weighted-averaging method is used to fuse the approximation part. The multi-layer features are extracted from the detail content part using the VGG-19 network. Finally, the approximation part and detail content part will be combined to reconstruct the fused image. The proposed approach has offers better outcomes equated to prevailing state-of-the-art techniques in terms of quantitative and qualitative parameters. In future, propose technique will help Battlefield monitoring, Defence for situation awareness, Surveillance, Target tracking and Person authentication.
Enhancing Transaction Speed of Blockchain System via Parallel Proof of Work
Authors: Priyanka Et al.
Published: February 2024

Blockchain is an online distributed and decentralised ledger system that records transactions and maintains an eternal, verifiable record set of data. While blockchain is employed in many domains, its application in the financial sector is still in its infancy. In this sector, consensus algorithms are used in numerous forms for transaction verification, such as in Bitcoin, Ethereum, Litecoin, etc. Many resources and time are needed for this process. Using concurrent mining instead of solo mining is one way to solve this issue. The main goal of parallel miming is to ensure that the effort required to solve and verify a given block is not shared by more than two processes. In this book, we present several consensus algorithms used to various cryptocurrencies with various blockchain types, explain the bitcoin mining process, and attempt to employ parallel proof of work to accelerate the transaction verification process.
RISC-V Processor for IOT Applications
Authors: Rajveer Singh Et al.
Published: February 2024

RISC-V is a recently introduced instruction-set architecture (ISA) that offers innovative advantages, including low power consumption, affordability, and scalability. Utilizing an open, non-proprietary Instruction Set Architecture (ISA) enables the creation of on-the-fly design of soft error countermeasures at the microarchitecture level. This may significantly enhance the resilience of Application Specific Standard Products (ASSP) and FPGA implementations. This paper offers a quick overview of the RISC-V architecture. This paper presents a plan to create and execute a 32-bit single-cycle RISC-V processor using Verilog HDL in the Vivado software.
A Dense Network Model for Outlier Prediction Using Learning Approaches
Authors: Boddu L V Siva Rama Krishna Et al.
Published: February 2024

There are various sub-categories in outlier prediction and the investigators show less attention to related domains like outliers in audio recognition, video recognition, music recognition, etc. However, this research is specific to medical data analysis. It specifically concentrates on predicting the outliers from the medical database. Here, feature mapping and representation are achieved by adopting stacked LSTM-based CNN. The extracted features are fed as an input to the Linear Support Vector Machine () is used for classification purposes. Based on the analysis, it is known that there is a strong correlation between the features related to an individual's emotions. It can be analyzed in both a static and dynamic manner. Adopting both learning approaches is done to boost the drawbacks of one another. The statistical analysis is done with MATLAB 2016a environment where metrics like ROC, MCC, AUC, correlation co-efficiency, and prediction accuracy are evaluated and compared to existing approaches like standard CNN, standard SVM, logistic regression, multi-layer perceptrons, and so on. The anticipated learning model shows superior outcomes, and more concentration is provided to select an emotion recognition dataset connected with all the sub-domains.
Machine and Deep Learning Approaches for Plant Disease Detection: A Comprehensive Review
Authors: Yogesh V. Chimate Et al.
Published: February 2024

People have been using edible foods since ancient times, and they continue to be an essential component of a healthy diet and traditional food systems today. Food crops as a major source of human energy intake, and the challenges they face due to biotic and abiotic stress factors, such as pollution, insects, bacteria, and unfavourable weather conditions. Detecting plant diseases in the early stage is critical for ensuring a stable supply of healthy food, and traditional methods of disease detection by experts are lengthy and have some limitations. The use of Machine and Deep learning is a key aspect of precision farming for crop growth monitoring. Plenty ML strategies, including random forest and support vector machines (SVMs), Convolutional Neural Networks, Deep learning as well as image processing have been used to precisely detect, classify, and predict plant diseases. By leveraging machine learning algorithms, farmers and agricultural experts can accurately detect and diagnose crop diseases, enabling them to take appropriate measures to control and prevent further spread of the disease.  This article provides a comprehensive overview of the different AI approaches for plant disease identification and control, drawing on a range of research articles in the field. The application of machine learning in agriculture holds promise for improving crop health and increasing yields and represents an important area of innovation for sustainable agriculture in the future.
Analysis of Induction Motor Drive Systems
Authors: Martand Pratap Et. al
Published: February 2024

In industry, the induction machine, particularly the cage rotor type, is most typically employed for variable speed applications. Adjustable speed drives use back-to-back AC to DC and DC to AC conversion to alter the speed. This conversion procedure introduces harmonics and reduces power factor at the supply end. It is now more important than ever to design and build a three-phase induction motor drive with higher power quality. A full report on the converter topologies is used for Power Factor Correction at the input side to eliminate harmonics and enhance power factor at the supply side. So the main aim of this study is to improving power quality by raising power factor at input side of an electric drive, hence lowering losses and boosting efficiency.
Design Optimization of Electric Motor (Induction Motor) Using Genetic Algorithm
Authors: Suresh Sharda Et al.
Published: February 2024

Various three phase Induction Motors are extensively used in domestic, commercial and industrial applications. One such induction motor is the Squirrel Cage type which is characterized by its simplicity, robustness and low cost. Hence, squirrel cage motors are extensively used in the industrial sector. However these motors consume large quantities of power. The reduction in electric energy consumption in squirrel cage motors through a better motor design is an attractive option. Optimization of the electromagnetic devices requires consideration of discrete and continuous variables and discontinuities in the search space.
Increasing the Sale of Long Tail Items on E-Commerce Websites
Authors: Ashima Malik Et al.
Published: February 2024

The advent of e-commerce has transformed the retail industry, offering a platform for retailers to reach a vast audience, enabling consumers to shop from anywhere in the world at any time. However, most e-commerce websites are dominated by sales of popular or mainstream items, referred to as the head of the distribution. The long-tail items, which make up the tail of the distribution, are often overlooked, leading to reduced sales and low revenue for online retailers. This research paper aims to explore strategies that online retailers can use to increase the sale of long-tail items on their websites. It also includes a review of existing literature, a qualitative analysis of consumer behavior, and a quantitative analysis of sales data. The findings indicate that online retailers can increase the sale of long-tail items by optimizing their website design, improving search functionality, using data-driven pricing strategies, and implementing targeted marketing campaigns. These strategies have the potential to improve the visibility of long-tail items, increase consumer engagement, and boost revenue for online retailers. A study has also been conducted on the Retail Rocket e-commerce dataset from Kaggle which involved a meticulous examination of various aspects of user interactions within the online retail platform. The dataset provided a rich source of information, including events such as page views, add-to-cart actions, and completed purchases. The analysis aimed to uncover specific patterns and trends related to these events, shedding light on how users engage with both popular and long-tail items.
Functional Brain Connectivity Differences between Aphasic and Neurotypical Brains
Authors: Kailash Nath Tripathi Et al.
Published: February 2024

Aphasia is a language disorder that can arise from brain damage, leading to difficulties in understanding, generating, or using language. Although the precise neural mechanisms are not fully elucidated, it is hypothesized that these disruptions involve altered communication and interaction among brain regions. In this study, functional magnetic resonance imaging (fMRI) was employed to assess functional connectivity in both individuals with aphasia and neurotypical individuals. Functional connectivity is a measure of the way that brain regions communicate and interact with each other. The study participants performed a series of language-processing tasks, while their fMRI data was collected.  The study's findings showed that individuals with aphasia had unique functional brain connectivity patterns when compared to neurotypical individuals. These distinctions were most prominent in the left hemisphere, which is conventionally associated with language processing. In particular, individuals with aphasia demonstrated diminished functional connectivity between the language regions in the left hemisphere and other brain regions, including those in the right hemisphere and the frontal lobe. The study's findings suggest that differences in functional brain connectivity may contribute to language deficits in aphasia. The study's findings also hold significant implications for advancing our understanding of the neurological underpinnings of aphasia and the potential for improved diagnostic and therapeutic methods for individuals with this condition.
“Shopper Mindfulness and Acuity Near Green Marketing in India”
Authors: Arjunsinh Rajput Et al.
Published: February 2024

Green marketing is the advertising of crops that are supposed to be ecologically benign. It joins a comprehensive series of doings including creation alteration, vagaries to the making development, justifiable wrapper as well as changing advertisement. Thus, green selling refers to full selling concept that making, eating and discarding of foods and facilities chance in a routine that is less injurious to the location with emergent alertness about the implication of global warming, non-biodegradable solid surplus, detrimental power of toxins, etc. both sellers and users are pretty increasingly subtle to the need for green products and services.

While the shift of ‘green’ may seem to be luxurious in short run, it will prove to be essential and useful in the long run. This study is essential to classify whether the customers in India are aware of green marketing and green foodstuffs. It classifies the general ecological beliefs of customers. It inspects the factors moving procurement performance of customers for green crops. It focuses the reasons which make the customers keen to pay for green products. For this purpose, primary data were collected from 150 sample respondents using a well – structured survey. Boards were used to analyse the data and use Desks, humble proportions to take it.
A Novel Method for Self-Driving Solar-Powered Drones
Authors: Amam Hossain Bagdadee Et al.
Published: February 2024

This project presented the transformative potential of integrating solar panels into drones. This innovative approach addresses the long-standing issue of limited battery life, enabling drones to operate continuously, adapt to changing mission demands, and contribute to sustainability efforts in the field of unmanned aerial vehicles. This development represents a significant step forward in the evolution of drone technology, promising a more versatile and self-sustaining future for drones across various sectors. Factors like high-speed flight, aggressive maneuvers, heavy payloads, and adverse weather can dramatically reduce battery life. Surveillance drones, for instance, are confined to covering limited areas before returning for battery changes or recharging. A groundbreaking solution lies in the incorporation of solar panels directly into the drones, allowing them to self-charge when required. This innovation ensures uninterrupted drone operation, regardless of the prospects of energy demands, thus marking a significant step forward in drone technology. With this integration of solar power, drones are poised to become not only versatile but also autonomous, promising a transformative development in the world of unmanned aerial vehicles.
Investigation of Evolutionary Computation Techniques for Enhancing Solar Photovoltaic Cell Performance
Authors: Parveen Kumar Et al.
Published: February 2024

The pursuit of optimized solar photovoltaic (PV) cell parameters is critical for advancing renewable energy technologies amidst global energy security and climate change challenges. This research investigates the efficacy of particle swarm optimization (PSO) and gray wolf optimization (GWO) in fine-tuning PV cell behavior parameters. Leveraging evolutionary computation, the study aims to maximize energy output, minimize costs, and enhance system reliability by optimizing material properties, structural configurations, and operating conditions. Through iterative optimization, PSO and GWO navigate the parameter space with precision, yielding solutions that maximize energy yield and system efficiency.
Design and Simulation of Resilient RF Receivers for 5G Interference Mitigation Using MATLAB
Authors: Shatha Kareem Abbas Et. al
Published: February 2024

Introduction: Advanced terminal capabilities increase mobile broadband traffic, straining spectrum resources. Traditional methods like base stations are expensive. Heterogeneous networks (HetNets) using pico cells attempt to improve efficiency, however interference persists. A suggested mitigation technique uses the modified greatest weighting delay first (MLWDF) algorithm for resource allocation and reception processing, which performs well in simulations. Space, time, frequency, time-frequency, and coding domain interference reduction methods are investigated, each having hardware requirements and restrictions.

Aim and objectives: The study uses MATLAB to construct and simulate robust RF receivers. Enhancing 5G communication network interference reduction is the goal.

Method: Simulink is used to study transmitter and receiver RF losses, including I/Q imbalances, phase noise, and power amplifier non-linearity. Spectrum masks, error vector magnitudes, and peaks-to-average power ratios measure performance. Simulink models examine constellation distortion, neighboring channel rejection, and packet error rates in 802.11ax and 5G waveform reception due to RF impairments. The paper stresses the necessity of reliable data measurement for RF interference analysis and discusses interference mitigation.

Results: Comparing Error Vector Magnitudes (EVMs) in Case 1 and Case 2 shows how NR interference affects HE receptions. EVMs approach -20 dB in Case 1 without NR interference. In Case 2, NR interference distorts constellations and lowers EVMs to -17 dB, suggesting poor reception. ACRs demonstrate NR-free channel separation by measuring power differences. The future investigation involves analyzing ACRs with HE waveforms as interferers and examining system behavior under different interference situations.

Conclusion: To reduce non-idealities in mobile communication transceivers, this thesis presents digital projection interpolation and Wiener-SAF for leakage route and receiver nonlinearity estimation.
The Importance of Educational Data Mining and Learning Analytics for Improving Teaching and Learning: An Issue Brief
Authors: Lalhruaitluanga Et al.
Published: February 2024

“The words educational data mining and learning analytics are frequently used interchangeably, despite their being an increase in their investigation and implementation. This may be as a result of the fact that both areas have similar conceptual components. One way to ensure precision, homogeneity, and consistency It aims to pinpoint themes that are similar to and different from one other in the two domains as they develop. This a topic modelling study of papers on educational data mining and learning analytics was carried out in the elucidate the two areas' respective themes. In particular, we used structural topic modelling to find the two domains' subjects from the abstracts. For instructional purposes, we use structural topic modelling on N 1 4192 articles. For both educational data and survey data, we infer five-topic models analytics for mining and learning. While there may be disciplinary variations in research, our findings show that beyond their various lineages, there is no evidence to indicate a clear separation between the two disciplines. the area of educational research on the uses of advanced statistical methods is trending toward convergence for improving teaching and learning, discover how to mine massive data streams for insights that may be put to use. Over the past five years, both areas have converged on a growing emphasis on student behaviour. This study topic has advanced greatly, and a variety of related words, including Academic Analytics, Institutional Analytics, Teaching Analytics, Data-Driven Education, Data-Driven Decision-Making in Education, Big Data in Education, and Educational Data Science, are now used in the paper. The main publications, significant turning points, cycle of knowledge discovery, primary educational settings, specialised tools, freely accessible datasets, widely used methodologies, primary goals, and anticipated trends in this field of study are reviewed to provide the state of the art at this time.
Construction and Validation of the Scale for the Study of Cyberbullying (SSC)
Authors: Bartkowicz Zdzisław , Chudnicki Andrzej , Czopek Natalia Kamila
Published: February 2024

Introduction: Cyberbullying is becoming an increasingly serious problem among children and adolescents, threatening safety and mental health, and posing new tasks for psychological and pedagogical support. Diagnosing the dangers of engaging in cyberbullying is a task that requires appropriate tools to assess in detail the ways in which others are attacked virtually and the individual's participation as a perpetrator or victim of cyberbullying. It is felt that there is a lack of appropriate tools that measure cyberbullying multifacetedly, as a way of behaving in the virtual world that is perceived by the individual in terms of good and bad. Research Aim: This article presents the conceptual assumptions and stages in the construction of a new tool to measure cyberbullying. The Cyberbullying Screening Scale consists of 4 subscales measuring the frequency of manifesting and experiencing 17 modes of virtual harm. In addition, respondents rated how often individual acts of cyberbullying occur in the school environment and to what extent they are bad or meaningless. Method: The analysis of psychometric properties was based on the results of the survey of 240 secondary school students. Results: Factor analysis established a set of items for the individual subscales. High reliability indices were obtained for all subscales. A preliminary standardisation of the tool was carried out, as a result of which it was determined how many perpetrators, victims and aggressive victims of cyberbullying are in the study group. Conclusion: The results obtained are consistent with those obtained in different countries using other tools.
Collaborative Learning with Students - the Relevance of Interpersonal Affordances in the Field of Assessment
Authors: Zbróg Zuzanna
Published: February 2024

Introduction: In the introduction I explain the meaning of the main concepts and theoretical categories: a community of practice, the relational concept of learning through knowledge sharing, and social networks. I provide examples of factors that influence the effectiveness of the knowledge sharing process within communities of practice. I add to the analysed concept the category of affordances which is related to the possibilities to act in a specific environment. Research Aim: The aim of the research is to understand and describe how I create, interpret and change my social and personal environment. I formulate my research perspective in the following questions: How to use possible interpersonal affordances in the field of assessment to build a community of entities learning from each other in the academic space? Method: It is my choice to work using autoethnography, I apply the procedure of data analysis following the evocative approach, which is characterised by a change in both the subject of cognition (the researcher) and the recipient of the message. Results: The contemporary context of students’ social functioning requires a decisive transition/ return to the culture of relational learning, in which the following are important: taking care of emotional well-being, sensitivity to students’ needs, and support, including in the form of constructive feedback based on individual or group (peer) reflection. These types of values shared in a group provide an environment conducive to learning. Conclusions: Interpersonal affordances in the field of assessment come from certain types of motivations and values that guide a person building relationships in a specific community. The crisis situation afforded me actions that involved changing my style of everyday functioning to a more attentive, supportive one, requiring the creation of a relational, comfortable space for learning. Communication relationships based on various types of constructive feedback have observably led to a positive change in the contexts of learning from each other.
In Search of Skills to Overcome Life’s Obstacles in People Who Perform Supra-Personal Tasks
Authors: Remiszewska Zofia
Published: February 2024

Introduction: In their lives, people have to cope with various limitations or obstacles. How they cope with such problems may determine their future and, thus, optimise or destroy their existence. Research Aim: The purpose of the research presented in this article was to identify the types of skills necessary to overcome life’s obstacles in the biographies of those individuals pursuing supra-personal tasks who were able to face life’s problems. Method: The qualitative paradigm approach was used. Data were extracted from an in-depth narrative interview, thus it was possible to understand the elements of the reality of the interviewed individuals related to their skills in overcoming life’s obstacles. Results: The conducted research shows that the skills of overcoming life’s obstacles identified in the participants were related to the existence of such traits as resilience, optimism, self-reliance and entrepreneurship. Conclusions: Possessing skills related to such qualities as resilience, optimism, self-reliance and entrepreneurship can make it easier for one to overcome obstacles and pursue one’s goals, while strengthening one’s self-esteem and self-confidence. It can cause the impossible to become possible.
Threatened Childhood in the Drawings of Ukrainian Children
Authors: Popławska Agata , Bocharova Olena
Published: February 2024

Introduction: In the 21st century, most children experience favorable conditions for development and are protected by their loved ones, who provide them with a happy and safe childhood. Nonetheless, it cannot be forgotten that there are still many thousands of children around the world who experience oppression and whose childhood is destroyed by adults due to abandonment, neglect, and mental and physical violence. Research Aim: The aim of the study was to attempt to discover and understand the individual traumatic war experiences of Ukrainian children, externalised in drawings. Method: Qualitative methods were used which allowed for an understanding of the way in which life situations are experienced by those studied. Projective techniques were used to analyse and interpret children’s drawings. Results: In the analysis of the drawings of Ukrainian children who have experienced war trauma, 5 main categories were differentiated: 1. Mummy, I see war; 2. My Father– Hero; 3. Friendship in the face of tragedy; 4. Putin is dead; and 5. Ukraine victorious. The drawings tell a tale of the cruelty which the children have experienced, which they have seen and felt, and which they carry inside themselves. Conclusions: The children’s drawings are a space for the externalisation of unspoken feelings. The children’s works demonstrate that suffering, uncertainty, fear for their own lives and the lives of loved ones, and the drama of the sudden loss of a carefree childhood and entry into the cruel world of adults are permanently etched into their memories.
Evolutions of Inflectional Forms of Old Belarusian Adjectives (Based on the Grand Duchy of Lithuania Chronicles)
Authors: Citko Lilia
Published: February 2024

The article is devoted to the inflectional forms old Belarusian adjectives. As a source of research material, two monuments of the 16th–18th centuries were used, representing the first (the Chronicle of Suprasl) and the last (the Chronicle of Bychowiec) editions of the Chronicles of the Grand Duchy of Lithuania. Chronicle literature reflects the condition of the living language of that period better than religious works subordinated to the canons of Church Slavonic tradition. The aim of the research is the analysis of the development of inflectional forms of adjectives with particular attention to similarities and differences in reference to the Ruthenian condition. Forms of adjectives have been selected and compared to paradigms of the earlier period. It has been established that inflectional system of adjectives took into consideration both the advanced process of phasing-out of non-complex inflexion (nominal) and the promotion of complex inflection (pronominal). Within its framework, old features referring to the Church Slavonic language have been documented, although at the same time, features of the nature of Belarusian innovations have been very clearly marked. Inflectional system of adjectives (especially The Chronicle of Bychowiec) preserved some regional features which indicate references to the south-western Belarusian dialects. These phenomena may help to establish the location of the monument or the place of origin of its author.
Formation of the Pantheon of Figures of the Era of the Grand Duchy of Lithuania in the Belarusian Memory Politics (1988–2023)
Authors: Marozau Siarhei
Published: February 2024

The article is devoted to the process of overcoming the depersonalization of Belarusian historiography, which took place until the mid-1980s. Its aim is to answer the question of how, in the context of the formation of the Belarusian-centric paradigm of history, «new» or newly discovered historical figures of the Grand Duchy of Lithuania (GDL) were introduced into science, culture and collective memory. The text is divided into 5 parts. The first one shows the fact that the elimination of the GDL from the memory of Belarusians has formed a complex of historical inferiority. The second part describes the process of «settling» the history of Belarus in 1988–1995 by new heroes, until their fixation in the first encyclopaedic editions of the Republic of Belarus and history textbooks. The third part tells about the blow that in 1995–1996 the supporters of the re-Sovietisation of historical science inflicted on the Belarusian national pantheon and the leaders of its formation, the consequences of which were felt at the beginning of the 21st century. The fourth part is devoted to replenishment of the pantheon of GDL heroes by representatives of the aristocracy. The fifth part reveals the channels for transferring the names and deeds of the heroes of the Belarusian historical pantheon to the collective memory, which have been used since the turn of the 20th and 21st centuries. The article justifies the fact of the popularity of biographical reconstruction in modern scientific and literary works. “Risk zones” and “memory conflicts” were presented in the promotion of the new pantheon – with former allies in the GDL, various Belarusian interpretive strategies and new attempts to revise the pantheon.
Revision of the Pragmatics of the Rites of the Bride in the Bathhouse: the Motifs of “a Newly Rolled Stick” in Wedding Laments and “the Cross to Lie” in Kupala Invective Song from the Russian and Belarusian Traditions of the 19th – early 20th Centuries
Authors: Shylinhouski Kiryl
Published: February 2024

In this study, devoted to the analysis of Kupala song about Sopukha, an attempt is made to establish an internal logical connection between the folklore motifs contained in the song and the transcending semantics of the bathhouse, including an analysis of the pragmatics of the rituals of the bride and the women in the bathhouse. The motifs of “a newly rolled stick” in the Northern Russian bride’s laments and “lying in a cross position” in the Northern Belarusian Kupala song describe the healing and magical rites that were used to cleansing a woman after childbirth, getting rid of menstruation or restoring it. This song was chosen as the subject of the study due to the fact that it was mistakenly interpreted in folklore and ethnographic literature as the text directly describing the archaic religious rites of the Eastern Slavs, including men, thereby confirming the idea of the bathhouse as a pagan temple or a “sanctuary of the girl’s clan”. In addition to the semiotic approach, the analysis of the genre features of the song and its invectives was applied, which represents an innovation in the study of this song as an element of the traditional culture. An important result of the study is the formulation of new arguments against the purely mythological interpretation of the rite of the bride's pre-wedding bath and the rite of farewell to krásota (“menstruation”, “menstrual blood”), according to which the bride symbolically loses her virginity.
Family-Centered Theory of Change
Authors: Salinas Juan , Grewal Parwinder , Gutierrez Jose , Pereyra Nicolas , Ramirez Dagoberto , Salinas Elizabeth , Salinas Griselda , Santana Virginia , Saygin Can
Published: February 2024

Hispanic-Serving Institutions (HSIs) are often characterized as Hispanic enrolling (rather than serving) that practice deficit-based systems that continue to marginalize Hispanics and other underrepresented students, especially in STEM fields.  Extant research on HSIs stresses the importance of investigations into the value of grassroots advocacy groups as external influencers of institutional servingness through deeper engagement with the Hispanic community. Using a novel Family-Centered Theory of Change (FCTC) that addresses diversity, equity, and inclusion, we integrated concepts of intersectionality and servingness into a Family Integrated Education Serving and Transforming Academia (FIESTA) framework. We investigated the potential transformational impact of FIESTA on students, families, faculty, and administrators at The University of Texas Rio Grande Valley (UTRGV), an institution with over 90 % Hispanic population. Preliminary findings shed light on how the FIESTA framework can help reshape an HSI’s identity from “Hispanic enrolling” to a true Hispanic-Serving Institution through Family-Centered Pedagogy. The Family-Centered Pedagogy was defined as the enrichment of the learning experience in which students complement their own instruction by drawing from the experience and ancestral knowledge of their families, supported by the FCTC developed by AVE Frontera, our community partner.​
Sort-term adaptations on bilateral body weight-bearing symmetry and postural control through the application of rotary prisms in healthy children
Authors: Ziaka Aikaterini , Giakas Ioannis , Tsaklis Panagiotis
Published: February 2024

Background: Motor-control is organized by coordinated sensory systems which integrate for the preparation of movement. Certain visuoperceptive disorders may impair proper development of motor control during childhood, thereby impacting functional aspects like bilateral weight-bearing symmetry. Rotary prisms (RPs) are a rehabilitation modality that have shown promise in facilitating motor-control and spatial-realignment for adults, improving weight-bearing symmetry, often evaluated by indexes like the normalized symmetry index (NSI%). However, less is known for the short-term effect of RPs on NSI% and consequent effects on functional capacity in healthy children.
Methods: We evaluated the acute and short-term chronic effect of RPs in fourteen healthy children (8.8±1.1 years) on NSI% and the total execution time (s) of a dynamic balance sit-to-stand task (SITS). Measurements were performed at baseline, immediately following RP application (immediate phase) and 10 min following RP removal (spatial re-alignment).  
Results: We detected an overall main effect of time on NSI% (F=15.1, p<0.001, η2=.54), improving both immediate (-67.3%, 3.4±4.46%, p<0.001) and spatial re-alignment phases (-55.3%, 5.2±4.3%, p<0.001) compared to baseline (9.7±1.9 %). Moreover, no significant differences for NSI% between immediate and spatial re-alignment phases were detected (p>0.05). However, TUT of the SITS task remained unaffected (F=1.13, p>0.05).
Conclusions: Non-significant differences for NSI% between immediate and spatial re-alignment phases indicate that short-term neural adaptations may persist following the removal of RPs in healthy children. Indicating the potential suitability of RPs in neurorehabilitation for children with balance impairments, such as pre-existing sensory motor dysfunctions and others.
Modeling the number of clothing merchandise returned through online shopping using a mixture of Poisson distribution: an interdisciplinary approach
Authors: Nain Anuj
Published: February 2024

Background: Online shopping has witnessed a significant surge in popularity owing to its accessibility and convenience. The rise of online shopping has revolutionized the retail industry, with clothing purchases garnering a dedicated following. However, a persistent challenge in internet purchasing lies in the uncertainty surrounding the fit, appearance, and quality of clothing merchandise. As a result, customers often resort to returning items that fail to meet their expectations or differ from the website's descriptions. In this study, we aim to address this issue by proposing a novel approach to model the number of items returned through online purchases. Specifically, we employ a mixture of Poisson distribution to capture the complexities of the return process and its underlying factors.
Methods: A mixture of Poisson distribution is employed to model the uncertainties in online clothing returns. The approach aims to capture the complexities of the return process and its underlying factors, providing valuable insights for e-commerce businesses to optimize operations and enhance customer satisfaction.  
Results: The findings of this study have the potential to shed light on the reasons behind increased return rates, offering e-commerce businesses valuable information to optimize their operations and enhance customer satisfaction.
Conclusions: Poisson distribution is capable of analyzing the hidden patterns in the data, and hence the results of the study are beneficial for various stakeholders, including statisticians, e-commerce firms, and app developers.
Surgical management for a retained guidewire in vivo during percutaneous coronary interventions following acute myocardial infarction from descending thoracic aorta to external iliac artery: a case report
Authors: Hossain M. Fidah , Reza M. Shamim , Sarker Swadesh R. , Mahmud Sultan , Khan Masrur A. , Hoque Muhammad M. , Islam M. Shadequl , Rahman Mezbahur , Mallick Anami , Saha Anup K.
Published: February 2024

This case report describes the unique presentation of a 60-year-old woman who was referred from the cardiology department due to the retention of a guidewire following a coronary angiogram. The guidewire was inadvertently left in the right external iliac artery after the angiogram procedure. This report discusses the clinical presentation, diagnostic procedures, and successful management of this case without unusual complication. The successful removal of the retained guidewire culminated in a favourable outcome for the patient. Efforts to extract residual guide-wire fragments from the coronary circulation are generally the preferred course of action. Nevertheless, certain case reports and series have proposed that, in carefully selected patients, leaving the guide-wires in situ without attempting extraction may be a reasonable option when the likelihood of successful removal appears remote, considering anatomical and technical factors. For such cases, a more suitable approach involves administering systemic anticoagulation and antiplatelet agents, coupled with vigilant follow-up.
Assessment of clinical, functional and radiological outcomes in young patients with grade 3 and 4 osteoarthritis of the knee joint undergoing knee joint distraction with and without arthroscopic debridement and chondroplasty-a prospective, comparative and randomized controlled study
Authors: Gupta Dinesh , Garg Rohit N. , Adate Amey Ashok
Published: February 2024

Background: Treatment of severe osteoarthritis (OA) in relatively young patients is challenging. Although successful, Total knee arthroplasty (TKA) has a limited lifespan, with the risk of revision surgery, especially in active young patients. Our study aims to assess the comparative clinical, functional and radiological outcomes of knee joint distraction (KJD) with and without arthroscopic debridement and chondroplasty in OA of knee in the young, in a randomized controlled trial.
Methods: Our study was a prospective randomized trial with equal allocation. A total of 160 patients needing intervention for knee arthritis, in the age group of <55 years were included as per the inclusion criteria, and were randomized into 2 groups. Group A included 80 patients who underwent KJD alone. Group B included 80 patients who underwent KJD with arthroscopic debridement and chondroplasty. All patients were followed up to 24 months post intervention. Clinical (Visual analogue scale-VAS), functional (Western Ontario and McMaster universities OA index-WOMAC) and radiological (Joint space width-JSW) outcomes were then compared and assessed.
Results: Both the groups showed statistically significant improvement of clinical, functional and radiological outcome scores compared to baseline levels. The mean improvement in KJD+SCOPY group was statistically superior to that of KJD group with regard to clinical and functional outcome scores; however, the radiological improvement though being statistically significant in both groups compared to baseline levels, but one group was not superior to that of other.
Conclusions: KJD in patients with OA of knee (Kellegren Lawrence grade 3-4) aged <55 years results in improvement of clinical, functional and radiological parameters at 2 year follow up. Addition of arthroscopic debridement and chondroplasty to KJD makes it superior to KJD alone in terms of improvement in clinical, functional and radiological outcomes. We recommend arthroscopic debridement and chondroplasty coupled with KJD for compliant patients of less than 55 years with grade 3-4 OA of the knee.
Improving cosmetic and functional outcome in case of post burn contracture of hand and fingers by using de-epithelized plantar skin graft
Authors: Mohanty Satyabrata , Gupta Jitendra Kumar
Published: February 2024

Background: Burn scar contractures in the fingers and hand often lead to debilitating functional and cosmetic issues. Various surgical approaches exist, but achieving optimal outcomes remains a challenge. While grafting glabrous split-thickness skin from the foot's plantar aspect is a well-established method, it remains underutilized, with conventional grafts leading to complications, especially in darker-skinned individuals.
Method: This study involved 35 patients with McCauley grade II and III hand burn contractures, spanning various age groups and genders. Surgical procedures encompassed scar removal, contracture release, and plantar skin graft application. Post-operatively, patients received dressing, splinting, and physiotherapy. Donor site healing was evaluated at the 3-week mark.
Results: Remarkably, all patients exhibited successful donor site healing within 3 weeks. The surgical technique effectively addressed contractures, enhancing range of motion and function. Post-operative care, featuring physiotherapy, coconut oil massages, and pressure garment use for at least 6 months, significantly contributed to post-burn hand and finger contracture management.
Conclusions: De-epithelized plantar skin grafts offer a promising avenue for enhancing both aesthetics and function in individuals with post-burn hand and finger contractures. This technique minimizes complications common with traditional grafts while promoting successful donor site healing and improved range of motion. The study underscores the significance of using like-for-like reconstruction to achieve the best possible results in managing post-burn contractures.
Comparison of open reduction and internal fixation by lateral extensile approach versus minimal invasive percutaneous fixation (Essex Lopresti) for the management of Sanders type 2 and 3 calcaneum fractures: a prospective, two-arm, parallel group study
Authors: Garg Rohit N. , Tathe Pankaj , Kundu Soutrik , Gupta Dinesh , Dubey Rakesh
Published: February 2024

Background: Calcaneum is one of the most common tarsal bone to get fractured accounting for around 50-60% of all tarsal fractures. Due to lack of Indian studies comparing the outcomes of fracture calcaneus managed by operative methods of open reduction internal fixation (ORIF) versus the percutaneous minimal invasive approach (Essex Lopresti); we decided to conduct one such study.
Methods: Adult patients with intra-articular Sander type 2 and 3 calcaneum fractures, managed by ORIF or Essex Lopresti were enrolled. The clinical outcomes (VAS score for pain, range of motion), radiological outcomes (Bohler’s and Crucial angle of Gissane) and functional outcomes (American orthopedic foot and ankle society (AOFAS) and Maryland foot score) were assessed at 6th month and 1-year post intervention and compared.
Results: 117 patients managed with percutaneous fixation (n=63) or ORIF (n=54) were enrolled. Mean age of patients was 42.63±7.93 years. Mean VAS score was statistically comparable in both operative groups at 6th month and 1 year (p>0.05). Mean dorsiflexion and eversion angles were significantly higher in plating group at 6th month (p<0.05) while other movements were comparable in both the groups. Mean Bohler’s angle, Gissane’s angle, AOFAS and Maryland scores were found to be comparable in both groups (p>0.05) on follow-up. Both groups showed similar complications trend.
Conclusions: Percutaneous fixation and plating methods were found to be comparable for calcaneus fracture management based on clinical, functional and radiological outcomes with similar complication rates.
Immediate versus early soft tissue coverage for severe open grade III B tibia fractures: a comparative clinical study
Authors: Jain Karun
Published: February 2024

Controversy remains regarding timing in the management of grade III-B open tibia fractures. Many authors recommend an immediate definitive soft tissue coverage within a critical period of 12 hours, yet in many patients, this may be impossible due to concomitant injuries or delayed referral. The present case series aims to compare the role of immediate versus early soft tissue coverage for severe open grade III-B tibial fractures. 20 cases of tibial fractures of were divided into two groups; 10 cases each. Immediate group (within 12 hours) and early group (3-7 days), according to the soft tissue coverage time. Strict criteria for inclusion in the first group included debridement within 12 hours of injury, no sewage or organic contamination, the presence of bleeding skin margins, and the absence of systemic illness. All 20 cases had been treated by a debridement and soft-tissue cover with a muscle pedicle or fasio-cutanous flap. Functional outcome measures included deep infection rate, stable soft tissue coverage, number of inpatient’s stays, number of surgical procedures, and union time. The mean follow-up period was 24 months. Mean inpatient time was 30 and 41 days respectively. Mean surgical procedures were 2.2 and 3.4 respectively and union time was 26 versus 34 weeks. Mean inpatient time, mean surgical procedures per time and union time were pointedly less in the immediate flap coverage group which significantly improves results concerning early union, healing time, and cost of hospitalization and rehabilitation.