bluuebunny/crossref_metadata_2025 huggingface dataset:
ESG research trends and future research directions in marketing : Integrating systematic literature review and text mining analysis
Authors:   Global Venture Research Institute, Huh Jongho , Lee Gaeun , Kim Soyeon , Kim Yoon , Park Jimin , Choi Goeun
Published: April 2024

For academic development, it is important to systematically classify prior research and quickly grasp the research trends accordingly. This process provides insight into the importance and meaning of related topics and helps researchers materialize research problems and predict new research directions. However, amid the change in the corporate management paradigm from shareholder capitalism to stakeholder capitalism, ESG research is being actively conducted in the marketing field, but it is difficult to find a study that systematically analyzed ESG research trends in the field. Therefore, this study aims to explore the overall trends of ESG research published in domestic marketing journals through integrated analysis using systematic literature review and text mining analysis. Specifically, we would like to examine which topics ESG research is currently being conducted in the domestic marketing field and which research methodologies are mainly used. And through this, we intend to contribute to expanding the research base in this field by suggesting the shortcomings and future research directions of ESG research being conducted in the domestic marketing field.
The Autonomy of Theory: Ticino Architecture and Its Critical Reception
Authors: Davidovici Irina
Published: April 2024

Following the exhibition Tendenzen—Neuere Architektur im Tessin in Zurich in 1975, contemporaneous architecture in Ticino became the subject of fervent coverage in Swiss and international publications. This extended essay argues that the critical attention emancipated the narratives of Ticino architecture from the actual conditions of production, leading to the paradoxical divergence of its historiography from its history. Placing well-known external constructs, such as the notion of the School of the Ticino, against the robust skepticism of local architects and historians, the essay chronicles the long-term consequences of the misalignment between autonomous theory and situated knowledge.
Мінімальне податкове зобов’язання в агропромисловому секторі України та особливості його застосування в умовах воєнного стану
Authors: Стрілець І. Ю.
Published: April 2024

Безпосередньо перед початком повномасштабного військового вторгнення, в законодавстві України з’явився новий правовий інститут – мінімальне податкове зобов’язання (МПЗ) для сільськогосподарських товаровиробників. На тлі інших змін у правовій системі України в особливий період, це нововведення залишилося без належної уваги в наукових дослідженнях. Тому перед автором постала мета охарактеризувати зміст МПЗ як нового правового інституту, з’ясувати особливості його застосування в умовах воєнного стану, з’ясувати недоліки податкового законодавства щодо МПЗ в контексті воєнного стану і запропонувати шляхи їх подолання. У статті досліджуються спільні ознаки застосування МПЗ для всіх податків, а мета запровадження МПЗ співвідноситься з обставинами воєнного часу. З’ясовано, що МПЗ за своєю правовою природою не є податком, а є мінімальним показником податкового зобов’язання з податку на прибуток підприємств, податку на доходи фізичних осіб та єдиного податку для землевласників і землекористувачів земельних ділянок сільськогосподарського призначення. Встановлено, що в умовах воєнного стану МПЗ не застосовується до земельних ділянок, які перебувають на тимчасово окупованих територіях або на територіях активних бойових дій, а також до земельних ділянок, що забруднені вибухонебезпечними предметами. Запропоновано скасувати нарахування МПЗ за земельні ділянки, розташовані на територіях можливих бойових дій. Для інших територій слід впровадити механізм звільнення від сплати МПЗ на один календарний рік для платників МПЗ, майно яких постраждало від наслідків обстрілів. Обґрунтовано необхідність тимчасового повернення до довоєнної ставки МПЗ у розмірі 4 %. Слід також розглянути питання про звільнення громадян, які проходять військову службу, від нарахування і сплати МПЗ. Стаття є одним із перших правових досліджень МПЗ в Україні. Результати дослідження можуть отримати розвиток у подальших наукових роботах, а також можуть бути використані в законотворчості. Стаття має теоретичний характер, однак має також і емпіричну базу дослідження у вигляді статистичних показників.
Event Management to Connect Across Video Conferencing Platforms
Authors:   Dept of CSE Bannari Amman Institute of Technology Erode, India, K DHANA ABHIRAJ
Published: April 2024

Managing events across multiple video conferencing platforms poses challenges in coordination, resulting in inefficiencies and fragmented user experiences. To address these issues, this project develops a cross-platform integration solution, creating a unified platform for seamless management, scheduling, and tracking of meetings. Integration techniques, such as authentication mechanisms and request wrappers, are explored to facilitate interaction with major platforms like Zoom, Microsoft Teams, and Google Meet. The project aims to enhance user workflow efficiency across multiple platforms by introducing a suite of integrated components. The cornerstone is a secure User Authentication system with Single Sign-On support, ensuring streamlined access. A Unified Dashboard serves as a centralised hub for managing meetings, eliminating the need for platform-switching. Cross-Platform Scheduling enables seamless meeting arrangement from a single interface, while Real-Time Updates keep users informed of schedule changes. Additionally, the incorporation of Artificial Intelligence-driven chat for meeting scheduling facilitates intuitive, natural language-based interaction. Together, these components optimise user experience, saving time and effort. Keywords—Meet, Event Management, Zoom, Integration, video conference
Image-Deblurring and Restoration: Exploring Advanced Techniques for Enhanced Visual Clarity
Authors:   Computer Science Engineering, Maharaja Agrasen Institute of Technology, Pal Mohit
Published: April 2024

This study introduces an end-to-end scale-recurrent deep network for deblurring multi-modal medical images affected by motion artifacts. The network features a novel residual dense block with spatial-asymmetric attention, enhancing the recovery of salient information during medical image deblurring. Comprehensive evaluations demonstrate the method's superiority over existing techniques, showcasing its ability to remove blur without introducing visual artifacts. Integration into medical image analysis tasks, such as segmentation and detection, highlights accelerated performance. Additionally, a simple L0-regularized prior is proposed for text image deblurring, leveraging intensity and gradient properties. The method outperforms state-of-the-art text image deblurring algorithms, demonstrating effectiveness in deblurring low- illumination images without complex edge selection strategies. Our proposed end-to-end scale-recurrent deep network for medical image deblurring exhibits robust performance, outshining existing methods in both qualitative and quantitative evaluations. The inclusion of a spatial-asymmetric attention mechanism and a residual dense block enhances the network's ability to recover crucial information from blurred medical images. Furthermore, the seamless integration of our deblurring method into various medical image analysis tasks showcases its versatility and effectiveness in accelerating performance. On a different front, our contribution extends to text image deblurring, where a straightforward yet powerful L0-regularized prior based on intensity and gradient proves effective. This method not only surpasses state-of-the-art text image deblurring algorithms but also demonstrates applicability to challenging scenarios such as deblurring low-illumination images. The combined results highlight the potential impact of our approaches in advancing the quality and applicability of deblurring techniques in both medical imaging and text-related applications. Keywords—Multi-Scale, Unet, Deblurring, Fast Fourier Transform, ResBlock, Non-linear Activation Free Block, NFResnet, Charbonnier, Edge, Frequency Reconstruction.
SilentInterpreter: Analysis of Lip Movement and Extracting Speech Using Deep Learning
Authors:   Dayananda Sagar College of Engineering, Hafeez Ameen
Published: April 2024

Lip reading presents a captivating avenue for advancing speech recognition algorithms, leveraging visual cues from lip movements to recognise spoken words. This paper introduces a novel method employing deep neural networks to convert lip motions into textual representations. The methodology integrates convolutional neural networks for visual feature extraction, recurrent neural networks to capture temporal context, and the Connectionist Temporal Classification loss function for aligning lip features with phonemes. Additionally, dynamic learning rate scheduling and a unique callback mechanism for training visualization are incorporated into the process. Post-training on a sizeable dataset, the model demonstrates notable convergence, showcasing its ability to discern intricate temporal correlations. Comprehensive evaluations, combining quantitative metrics and qualitative assessments, validate the model's effectiveness. Visual inspections of lip reading capabilities and standard speech recognition criteria evaluation highlight its performance. The study delves into the impact of various model topologies and hyperparameters on performance, providing valuable insights for future research directions. This research contributes a deep learning framework for accurate and efficient speech recognition, expanding the landscape of lip reading technologies. The findings open paths for further refinement and deployment across diverse domains, including assistive technologies, audio-visual communication systems, and human-computer interaction. Keywords: lip reading, deep learning, convolutional neural networks, recurrent neural networks, CTC loss, speech recognition
EMD AND WAVELET-BASED ECG SIGNAL DENOISING AND QRS COMPLEX DETECTION
Authors:   Aditya Institute of Technology and Management, Tekkali., Rao Dr.B.Rama
Published: April 2024

This project presents a novel method for noise removal and QRS complex detection in electrocardiogram (ECG) signals, employing Empirical Mode Decomposition (EMD), windowing, and wavelet thresholding techniques. Noise is added to the ECG signal, and EMD is applied to obtain denoised components. Local minima detection and peak matching identify QRS complex boundaries. Windowing isolates the QRS regions, followed by wavelet thresholding for further denoising. Evaluation metrics like improved Signal-to-Noise Ratio, Mean Square Error, and Percent Root Mean Square Difference are calculated at different input SNR values, demonstrating the method's effectiveness in preserving the QRS complex while removing noise.. Keywords: ECG signal processing, QRS complex detection, Empirical Mode Decomposition (EMD), Windowing, Wavelet thresholding, QRS complex extraction, Signal-to-Noise Ratio (SNR), Mean Square Error (MSE), Percent Root Mean Square Difference (PRD).
JAVA Based Quiz Application
Authors:   Department of MCA, Trinity Academy of Engineering, Pune, India, Watore Vikas Ramesh
Published: April 2024

The Java-based Quiz Application is a versatile, standalone program designed to operate independently of an internet connection, making it ideal for offline use in various settings such as training sessions, schools, and areas with limited internet access. It boasts a comprehensive set of features for quiz creation, administration, and participation. Key among its features is the offline user authentication system, enabling users to securely create accounts and log in without internet connectivity. This ensures accessibility and autonomy for users regardless of their location or internet availability. The application offers a user-friendly interface for adding various question types, including multiple choice, to offline quizzes, allowing users to customize quizzes to suit their needs and cover diverse topics. Furthermore, users can manage quizzes offline, facilitating real-time adjustments by educators, trainers, or organizers without the need for an internet connection. The application provides players with a seamless offline quiz experience, offering swift performance feedback and navigation to enhance engagement. Users can select quizzes from offline categories, attempt them offline, and receive immediate scoring and feedback. Emphasizing security, the Java Quiz Application implements robust encryption techniques to safeguard user data and ensure confidentiality offline. This commitment to security ensures the protection of sensitive information even in offline environments, maintaining user trust and confidence in the application's integrity. Key Words: Java, No Internet Connection, Offline Quiz, user Friendly
Leveraging CRC Error Detection for Enhanced Error Correction in Digital Communication Systems
Authors:   Department of VLSI, AVS Engineering College, Salem, Tamil Nadu, India, Murugesan Vigneshwari
Published: April 2024

In this study, CRC error detection techniques will be used to not only identify but fix single-bit errors in digital communication systems. In the past, CRC codes have been employed mainly for their ability to detect errors efficiently. However, this paper suggests a new way that will make it possible to modify CRC functions and thus correct the identified errors. It is intended that by using an optimized look-up table in Verilog hardware description language with an advanced Xilinx 14.7 toolchain, this research can increase the dependability and effectiveness of error correction mechanisms found in digital systems. The study presents how to create a detailed hardware description, optimize lookup tables for minimal resource usage and increased error correction capability; then synthesizes design with Xilinx 14.7.The conclusion makes a practical contribution towards identification and removal of single-bit errors which indicates a turning point in the use of Cyclic Redundancy Check (CRC) technology from being just about error detection to full scale error correction. This enhancement has the potential to greatly increase the durability and reliability of data transmission and storage systems, especially in critical applications requiring utmost data integrity. Keywords: Cyclic Redundancy Check (CRC), Error detection, Single-bit errors, Optimized lookup table, Xilinx 14.7 toolchain.
Fire Fighting Robot with SMS and Call Alert
Authors:   Electronics & Telecommunication & P G Moze College of Engineering, Pune, Patil Prof. Ashwini
Published: April 2024

In emergency situations such as fire outbreaks, timely intervention is crucial to minimize damage and ensure safety. Traditional fire-fighting methods often face challenges in reaching remote or hazardous locations promptly. To address this gap, we present a pioneering solution in the form of a "Fire Fighting Robot with SMS Alert." Our project integrates advanced hardware and software components to develop a robust system capable of autonomously detecting smoke and fire, and alerting the relevant authorities through SMS. The hardware design involves equipping a mobile platform with hit-sensing sensors for detecting impacts and smoke. Software development utilizes the Arduino IDE to program the Arduino UNO microcontroller, enabling efficient control and communication. Through meticulous implementation and rigorous testing, our project demonstrates promising results. The robot effectively senses fire and smoke, triggering immediate SMS alerts to designated recipients. Additionally, upon completion of its tasks, the robot initiates a call to the owner for further instructions, ensuring comprehensive response capabilities. This paper highlights the significance of our contribution to the field of emergency response systems, offering a practical and innovative solution to enhance safety and mitigate risks in fire incidents. The outcomes of our project provide valuable insights for future developments in Electronics and Telecommunication Engineering, with potential applications in various domains beyond fire-fighting scenarios. Key Words: Fire Fighting Robot, SMS Alert, Emergency Response, Robotics, Arduino, Hardware Design, Software Development, etc.
Augmenting AI’s Prospects: ChatGPT Future Insights
Authors:   Parul University  Vadodara, Gujarat, Verma Aditya A
Published: April 2024

An expansion of GPT-3, the big language model ChatGPT was published by OpenAI on November 30, 2022. In real time, the AI chatbot responds to user requests by communicating. The level of natural speaking responses provided by ChatGPT signals a significant change in the way we will utilise AI-generated data in our daily lives. There are several applications for ChatGPT for a student studying software engineering, including assessment preparation, translation, and writing specific source code. Even more difficult parts of scientific writing, including paraphrasing and literature summaries, may be handled by it. Therefore, the purpose of this position paper is to examine possible methods for incorporating ChatGPT into higher education. As a result, we concentrate on papers discussing ChatGPT's impact in our day to day lives. Keywords: Artificial Intelligence (AI); ChatGPT; educational technology; university education.
Crime Analysis and Prediction
Authors:   Parul Institute of Engineering & Technology Parul University Gujarat, India 2205112140062, Singh Aman Rajesh
Published: April 2024

Data Mining in Crime analysis is a systematic approach to identifying and analyzing patterns and trends in crime. With the increasing adoption of computerized systems, Data Mining in Crime analysis can assist law enforcement in predicting crime. This technique plays a key role in cyber forensics. Cyber forensics involves the collection and analysis of digital evidence to detect and document a cybercrime or security breach. Data mining techniques can help investigators extract valuable insights from the large volume of data typically collected during a cyber forensics investigation. Keywords: Data mining, crime, pattern, analysis, cyber, Forensics, detect, document, breach, security.
Responding to challenge call for machine learning model development in diagnosing respiratory disease sounds
Authors: Melek Negin
Published: April 2024

The normal and abnormal sounds from the respiratory system shed great light on medical science by revealing the quality, diseases and changes in people’s lungs. In medicine, this easy and old method, realized by the stethoscope, facilitates the diagnosis of diseases by specialists. This manual method can sometimes lead to wrong decisions in terms of sound detection due to different audibility. Detailed sound analysis is crucial for accurately detecting lung diseases with high mortality rates. As technology advances, the development of automated approaches based on machine learning is of great interest as they provide modern and highly accurate analysis. In today’s most popular topic, i.e., the COVID-19 disaster, the conflict between early detection of respiratory disease and machine learning for sound signal processing is extremely important. In this study, a machine learning model was developed to detect respiratory system sounds such as sneezing/coughing in disease diagnosis. The automatic model and approach development of breath sounds, which carry valuable information, results in early diagnosis and treatment. A successful machine learning model was developed in this study, which was a strong response to the challenge called the “Pfizer digital medicine challenge” on the “OSFHOME” open access platform. In the database provided in this challenge, which consists of 3 parts, features that effectively showed coughing/sneezing sound analysis were extracted from training, testing and validating samples. Based on the Mel frequency cepstral coefficients (MFCC) feature extraction method, mathematical and statistical features were prepared. The sequential forward selection (SFS) feature selection method was used to select the relevant and dominant variables among the obtained features to represent the model fully and accurately. Three different classification techniques were considered for successful respiratory sound classification in the dataset containing more than 3800 sounds. Support vector machine (SVM) with radial basis function (RBF) kernels, decision tree and ensemble aggregation classification methods were used as classification techniques. In an attempt to classify coughing/sneezing sounds from other sounds, SVM with RBF kernels was achieved with 83% success.
Perancangan Aplikasi Kompresi File Audio Dengan Menggunakan Algoritma Sequitur
Authors: Sianturi Winda Remi
Published: April 2024

Kompresi audio adalah proses mengubah sebuah aliran data input menjadi aliran audio baru yang memiliki ukuran lebih kecil. Aliran yang dimaksud adalah berupa audio, data, dokumen, dalam memori. Kebutuhan terhadap kompresi audio dipengaruhi oleh dua alasan, yaitu kecenderungan manusia untuk mengumpulkana udio dan kebutuhan terhadap proses transfer audio yang terlalu tidak memenuhi kapasitas. Salah satu solusi untuk melakukan pengiriman audio atau tentu diperlukan sebuah media penyimpanan yang dapat menampung sebuah audio atau informasi tersebut besarnya suatu ukuran yang akan dipindahkan sangat berpengaruh padaruang penyimpanan. Artinya jika ukuran yang di pindahkan tersebut berukuran besar maka dibutuhkan ruang penyimpanan yang cukup besar, juga untuk menampung audio tersebut.Hasil dari penelitian ini maka untuk mengatasi masalah seperti ini dapat dilakukan dengan proses teknik kompresi data. Kompresi data bertujuan untuk memperkecil sebuah ukuran file yang dapat mengurangi ukuran bit yang ada pada setiap audio, dan juga dengan berkurangnya ukuran audio tersebut berkurang jugalah ruang penyimpanan yang dibutuhkan
Historical Development of Education and Learning in the Transmission of Miao Nationality Music in Yunnan Province, China
Authors: Yu Linhan , Choatchamrat Sarawut
Published: April 2024

Miao Nationality music represents a profound and longstanding musical heritage from the cultural legacy of the Miao community in Yunnan Province, China. This qualitative research study endeavor aims to explore the historical development and transmission of Miao Nationality music, emphasizing its significance within the context of ethnomusicology, cultural transmission theory, and education theory. The chosen research site strategically focuses on Yunnan Province, China, especially targeting regions with substantial Miao populace and deeply entranced musical traditions. Seven key informants, including elder musicians, music educators, community leaders, and cultural enthusiasts, were purposefully sampled to provide expert insights. A thematic analysis of qualitative data gathered through interviews and observations revealed important information about the ancient roots of Miao Nationality music, how it is used in everyday life, how cultural exchanges affect it, and how important it is for traditional instruments, vocal styles, and passing down the music from one generation to the next. The study suggests strategies for safeguarding and disseminating Miao Nationality music, emphasizing cultural awareness, technological advancements, support for inheritors, environmental protection, and innovative communication methods.
The Strategies of Driving Upright Schools Under the Office of the Basic Education Commission in the Northeastern
Authors: Sattarutnumporn Kanjanar , Chansirisira Pacharawit
Published: April 2024

The study aimed 1) to investigate the components and indicators of the upright schools, 2) to explore the current state, the desired state, and the need assessment of driving the upright schools, 3) to develop strategies for driving the upright schools and 4) to investigate the outcomes of implementing driving the upright school strategies in schools in the northeastern region under the supervision of the Office of Basic Education Commission. The study is divided into 4 phases. Phase 1: seven experts scrutinize, evaluate the components and indicators. Phase 2: investigate the need assessment of a sample group including school directors and teachers total of 375 schools took derived by multi-stage sampling. Phase 3: 10 experts for assessment the strategies. Phase 4: apply the strategies to 30 schools. The data were collected through questionnaires, interviews, assessments, and observational forms. Average, standard deviation and Priority Needs Index (PNImodified) were used to analyze the data. The findings of the study revealed the following:

1. The components and indicators of the upright school project include five components and sixteen indicators: 1) academic administration (4 indicators), 2) budget administration (3 indicators), 3) personnel administration (2 indicators), 4) general administration (2 indicators), and 5) result and success (5 indicators). These are measured at the highest level when evaluating the appropriateness of the mentioned features and indicators.

2. The overall current state of the upright schools is rated at a moderate level, while the desired state is rated at high level. However, when classifying the needs of driving the upright school project, the required components were arranged from highest to lowest as follows: result and success, academic administration, budget administration, personnel administration, and general administration.

3. The strategies for driving upright schools under the authority of the Office of Basic Education Commission, which are comprised of 5 strategies (5S)

4. The outcomes of implementing driving the upright school strategies demonstrated that the target schools understandably applied the strategies and have been evaluated at the highest level in all standards regarding the standard of upright school project administration on the whole.
Physiotherapy Management of Guillain-Barré Syndrome in a Tertiary Hospital in South-South Nigeria: A Case Report.
Authors:   Department of Physiotherapy, University of Port Harcourt Teaching Hospital, Port Harcourt., OTI Ifeanyi Kalu , OKONKWO Kenechukwu Kingsley ,   Department of Physiotherapy, University of Port Harcourt Teaching Hospital, Port Harcourt., AYERITE Annette Benjamin ,   Department of Physiotherapy, University of Port Harcourt Teaching Hospital, Port Harcourt., ANYAMA Ernest Ugonna ,   Department of Physiotherapy, University of Port Harcourt Teaching Hospital, Port Harcourt., MADUME Anelechi Kenneth ,   Department of Physiotherapy, College of Medical Sciences, Rivers State University, Port Harcourt, Nigeria ., NWAEDOZIE Obianuju Chinekwu ,   Department of Physiotherapy, University of Port Harcourt Teaching Hospital, Port Harcourt.
Published: April 2024

Background: Guillain-Barré Syndrome (GBS) is a potentially life-threatening post infectious disease characterized by rapidly progressive, symmetrical weakness of the extremities. It can cause life-threatening complications, particularly if the breathing muscles are affected or if there is dysfunction of the autonomic nervous system. Case Presentation: This is a case report of Physiotherapy management of a 51-year old female patient with Guillain-Barré Syndrome (GBS). Patient was referred from the neurology unit, department of Internal Medicine, University of Port Harcourt Teaching Hospital (UPTH) to the neurology clinic of the physiotherapy department, UPTH as a case GBS after series of investigations. Appropriate physiotherapy intervention was given for a period of 36 weeks after a thorough assessment of the patient. The Guillain-Barre Syndrome Disability Score was used to assess the overall functional status of the patient while the Oxford Muscle Grading Scale was used to assess for muscle strength. The Numerical Pain Rating Scale (NPRS) was used to assess the level of pain in the limbs while the Berge Balance Scale (BBS) was used to assess the patient’s balance. The case report was presented in line with the CARE: Case Report Guideline for case reports. All ethical procedures were followed. Treatment outcome: Treatment outcome revealed that the Guillain-Barré Syndrome Disability Score reduced from 4 to 2 while that of Berg Balance Scale increased from 3 to 42 after 36 weeks of intervention. Pain level on range of motion of the limbs based on the Numerical Pain Rating Scale reduced from 6/10 to 1/10 on the upper limb and from 8/10 to 2/10 on the lower limbs. Conclusion: Physiotherapy is effective in the management of patients with Guillain-Barré Syndrome. Early referral to Physiotherapy is key to pain management, balance control and overall functional status of the patients.
Prevalence and Pattern of Stroke Cases Seen at the Neurology Clinic of Physiotherapy Department, University of Port Harcourt Teaching Hospital, Port Harcourt: A Ten-Year Retrospective Study .
Authors:   Department of Physiotherapy, University of Port Harcourt Teaching Hospital, Port Harcourt, Nigeria, OTI Ifeanyi Kalu , NWAEDOZIE Obianuju Chinekwu ,   Department of Physiotherapy, University of Port Harcourt Teaching Hospital, Port Harcourt, Nigeria., AYERITE Annette Benjamin ,   Department of Physiotherapy, University of Port Harcourt Teaching Hospital, Port Harcourt, Nigeria., ANYAMA Ernest Ugonna ,   Department of Physiotherapy, University of Port Harcourt Teaching Hospital, Port Harcourt, Nigeria., PETER Adadinfiari Lois ,   Department of Physiotherapy, University of Port Harcourt Teaching Hospital, Port Harcourt, Nigeria., MADUME Anelechi Kenneth ,   Department of Physiotherapy, College of Medical Sciences, Rivers State University, Port Harcourt, Nigeria.
Published: April 2024

Background: Stroke is a condition of public health concern. It affects people of different age brackets, leading to long-term debilitation with a significant percentage of survivors left with permanent disabilities Methods: The study adopted a descriptive retrospective study design in which the data of a total of 338 adult male and female stroke patients who attended the neurology clinic of Physiotherapy Department, University of Port Harcourt Teaching Hospital (UPTH), between December 2012 and December 2022 were retrieved and studied following ethical clearance. Data were analysed using the Statistical Package for Social Science (SPSS) version 25. Descriptive statistics was used to present the data in frequency tables. Results: Majority of the stroke patients were male 208 (61.5%), married 300 (88.8%), and between the ages of 51 and 60 (28.7%). The most common type of stroke was ischaemic stroke 295 (87.2%) with majority between the age bracket of 61-70 (26.6%). First episode of stroke was the most prevalent 301 (89.0%) with majority of the survivors between the age bracket of 51-60 (25.7%). Hypertension was the most prevalent risk factor 195 (57.7%) and was also most prevalent among the age bracket of 51-60 (16.0%). Lastly, majority of the stroke patients had right sided hemiparesis 192 (56.9%). Conclusion: The risk factors and clinical presentation of stroke vary from individuals to individuals. Adequate education, counseling, medical, and financial support should be given to stroke survivors in order to prevent and manage the condition.
Nata De Coco Quality Development Model from Different Inoculum Sources
Authors:   Faculty of Agriculture, Sam Ratulangi University, Study Program Food Technology, Mandey Lucia , E. A. Kandou Jenny ,   Faculty of Agriculture, Sam Ratulangi University, Study Program Food Technology, Tarore Dantje ,   Postgraduate Program of Sam Ratulangi University Entomology Study Program of interest, Health Entomology
Published: April 2024

The results of the study "Nata De Coco Quality Development Model from Different Inoculum Sources", aim (1) to utilize wasted coconut water from the coconut industry and home industry, (2) to obtain a Nata de Coco quality development model from different inoculum sources (inoculum from pineapple flesh and inoculum that are already available on the market. The methodology used is quantitative (laboratory experiments) with Complete Randomized Design (RAL). This research includes stages, as follows, namely: Phase I, using coconut water media sources with the maturity level of ripe coconuts, with Treatment A = basic ingredients of fresh Coconut Water (0 storage), B = basic ingredients of Coconut Water with storage for 1 week, C = basic ingredients of coconut water with storage for 2 weeks, and treatment D = basic ingredients of coconut water with storage for 3 weeks. Phase II, fermenting coconut water which becomes a substrate as a fermentation medium using inoculum sources, namely: liquid inoculum sources from natural ingredients of pineapple flesh and liquid inoculum sources available on the market in producing cellulose pellicle. The results of the study can be concluded as follows: (1) Coconut water waste wasted from the coconut industry and coconut home industry in the North Minahasa Regency area of North Sulawesi from ripe coconuts can be utilized by Acetobacter xylinum bacteria in producing Nata de Coco pellicle, (2) IN treatment (Natural Acetobacter xylinum liquid inoculum from pineapple fruit) provides the best treatment results from several quality parameters of Nata de Coco produced such as: parameters of Layer Thickness, Water Content, Fiber Content, and Color, than IP treatment (liquid inoculum Acetobacter xylinum on the market).
Aggresive Behaviour of Pupils towards Teachers
Authors: Emmerová Ingrid , Jablonský Tomáš , Blažič Mojca
Published: April 2024

Aggressive behaviour towards teachers is a concerning issue that can take many forms, including physical violence, verbal abuse, threats, and bullying. This type of behaviour can have serious consequences for both the teacher and the students involved, and it is important to address it in the school environment promptly and effectively. This overview study is focused on the aggressive behaviour of pupils towards teachers in the Slovak Republic. It analyses the current scientific studies implemented since 2010. The results of the studies show that aggressive behaviour towards teachers is widespread in Slovakia. Based on the analysis, some conclusions and suggestions for pedagogical practice are formulated.
Commercialization fo Innovative Technologies and Regulatory Reform
Authors:   Korea Public Choice Association, Song Myungwon , Kim Yongjeon , Hong Seung-Hun
Published: April 2024

In the era of the Fourth Industrial Revolution, the pace of technological innovation is increasing rapidly. However, the speed of change in laws and regulations has not kept pace, resulting in the so-called regulatory lag. This is because innovative technologies and industries produce new and disruptive things in a remarkable speed, while the regulatory response is slow and lagging behind. This study surveyed 75 companies in the early demonstration stage of technology development to identify the regulatory challenges they have experienced in commercializing innovative technologies and suggested alternatives to solve them. The study found that companies in the early demonstration stage of technology development claimed the absence or lack of a certification system to prove the stability and performance of innovative products as the biggest regulatory obstacle. This shows that appropriate regulations are needed for SMEs' technological innovation rather than deregulation.
Festskriftsmaterial
Authors: Lundholm Michael , Magnusson Jonas
Published: April 2024

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A relação entre desigualdade escolar e desigualdade social
Authors: Jesus Simone Aparecida de , Araujo Vitor Savio de
Published: April 2024

O presente artigo tem a pretensão de fazer uma reflexão a respeito das desigualdades sociais e de como essas desigualdades chegam às escolas, fazendo ressoar na aquisição da leitura, que é, por sua vez, um importante recurso para se colocar diante desse contexto. Para tanto, a primeira parte da obra de PATTO (1999) norteará a compreensão dos estudos apresentados, fazendo todo um percurso histórico da origem das desigualdades vividas atualmente na escola. O artigo baseia-se ainda na discussão de Mészáros (2007) sobre a superação do capital e o lugar da educação e da escola, propriamente dita, nesse contexto. Além de outros referenciais que tratam a questão da desigualdade social e escolar. A ideia principal desse artigo é apontar o percurso das desigualdades no âmbito educacional, partindo sobretudo da constituição da própria educação e da função que esta passa a ter perante a sociedade, resguardando a esta instituição um destaque importante na tomada de consciência pelo sujeito, do lugar que ele ocupa e de como se torna vital romper com a estrutura posta, que perpetua as desigualdades sociais e escolares.
O desenvolvimento de uma startup de TI como prática acadêmica do Uniceplac
Authors: Souza Gilmar Severino Lucena de , Oliveira Hélder Line , Davidis Henrique de Carvalho , Ribeiro Washington Fábio de Souza , Souto Osmam Brás de , Souza Wilton Marinho Carneiro de , Santos Jorge Alberto dos , Portela Sebastião Ivaldo Carneiro
Published: April 2024

Os cursos de Tecnologias da Informação do Centro Universitário Apparecido dos Santos (Uniceplac), uma instituição de ensino superior localizado na cidade do Gama- Distrito Federal, vem ampliando suas práticas acadêmicas na perspectiva da preparação de jovens empreendedores, criando oportunidades ainda na graduação de vivências diferenciadas e impactantes para o mundo do trabalho através de um projeto de uma Startup.  O projeto é desenvolvido desde 2020 e oferece um ambiente fértil para que os estudantes resolvam problemas da comunidade com a oferta de soluções tecnológicas, permitindo compreender, ainda na graduação, as complexas interações entre as tecnologias e os negócios. Os resultados têm sido promissores e mais de 12 sistemas já foram desenvolvidos e testados indicando a eficiência dos processos de gerenciamento utilizados no projeto e o grau de envolvimento da equipe que mostrou espírito aberto para novos aprendizados e alta capacidade de adaptação a novos desafios. Portanto, o desenvolvimento de práticas acadêmicas focadas na resolução de problemas da comunidade, além de permitir que estudantes experimentem desafios reais para aplicar seus conhecimentos, torna a instituição de ensino superior um vetor do desenvolvimento regional.
Caracterização do perfil da genitália feminina de bovinos nelore e mestiços do oeste Goiano – APL Lácteo
Authors: Lopes Joyce Caroliny dos Santos , Santos Klayto José Gonçalves dos , Santos Aracele Pinheiro Pales dos , Ferro Rafael Alves da Costa , Ferro Diogo Alves da Costa , Moraes Isadora David Tavares de , Andrade Weverton Rodrigues
Published: April 2024

A reprodução é o principal pilar da produção de bovinos. Para ser rentàvel, deve-se considerar as adversidades desse processo. Objetivou-se avaliar as características morfológicas da genitália de fêmeas bovinas nelore e mestiças, provenientes de um abatedouro comercial do Oeste Goiano. Foram avaliadas 302 genitálias, onde observou-se a média de peso da genitália; volume, comprimento e largura dos ovários.  Encontrou-se uma correlação positiva para peso e volume dos ovários dos animais gestantes e não gestantes, diferença significativa no peso da genitália e volume do corpo lúteo. Essas características podem identificar patologias, atividade ovariana luteal e fase do ciclo, que podem interfeir na fertilidade.
Uma experiência de curricularização da extensão: o impacto do projeto de extensão sobre a importância dos impostos municipais
Authors: Sampaio João Marcos Francisco
Published: April 2024

O projeto de extensão, visou, inicialmente, mapear os tributos cujas receitas são destinadas ao Município, sejam os de sua competência ou os cobrados por meio de convênio com outros entes, como o ITR, e posteriormente os alunos matriculados na disciplina “Noções de Direito Público” elaboraram uma cartilha informativa a ser divulgada por meios digitais, que permitiu divulgar a importância que o pagamento de tributos para o funcionamento dos serviços públicos e como deve ser sua destinação. Dessa forma, os alunos puderam aplicar na prática os conhecimentos adquiridos em sala de aula, e o reverter em benefício da comunidade externa. A cartilha foi direcionada a diversos segmentos sociais, prezando pela linguagem clara e acessível, permitindo ampliar o alcance das informações.
Segurança do trabalho na utilização de explosivos industriais na mineração
Authors: Barreto Clarice Guilherme , Henrique Daniele de Macedo , Silva Francielio Gomes da , Meyer Mauro Froes , Macedo Neto Miguel Cabral de , Sales Rafael Araújo , Santos Junior Zulmar Jofli dos
Published: April 2024

O desmonte de rocha nas operações de lavra a céu aberto caracterizou-se nas últimas décadas pelo emprego de explosivos. As crescentes necessidades de diminuição de custos nas operações de lavra e, em particular, no desmonte de rocha fizeram com que as empresas mineradoras passassem a se preocupar com a qualidade do desmonte com explosivos por ser a forma de energia menos onerosa para aplicar no desmonte. Várias tecnologias de desenvolvimento de novos explosivos têm como alvo a produção e sistemas de iniciação inerentemente seguros. Contudo, a prevenção de acidentes sempre dependerá da conjunção da boa prática e de procedimentos seguros de todos aqueles envolvidos nas operações de carregamento e detonação. A tentativa de otimizar todos os parâmetros para maximizar as etapas do desmonte do maciço rochoso, utilizando substância explosiva com segurança e em harmonia com o meio ambiente nos propiciou o desenvolvimento deste trabalho técnico.
As configurações partidárias no Paraná e a disputa pela agenda política- educacional entre sindicato e governo
Authors: Carissimi Aline Chalus Vernick
Published: April 2024

O trabalho a seguir leva em consideração a noção de política e a construção de tal agenda, a partir dos conceitos apresentados por Muller & Surel (2002) que configuram-se em  “espaço de trocas e espaço dos possíveis”, ou seja, aquilo que seria o espaço de litígio, da disputa, que são em grande parte espaços institucionais e de produção de alternativas, e é a partir dessa disputa que o objeto em litígio ascende à agenda política. Esse litígio expõe a disputa pelo poder, a partir de classes, e pólos distintos (Bourdieu, 2012), que neste caso, é dada pela relação sindicato e governo, no entanto, os interesses políticos presentes na disputa, revelam a dominação política de determinados grupos, sendo que o projeto do sindicato de docentes do serviço público no Brasil se revela, em sua maioria, no campo da esquerda, enquanto o de governo, se revela nesta pesquisa, ora mais próximo, ora mais distante do projeto da categoria do magistério público. Nesse sentido, podemos dizer que a luta política, e a disputa pela agenda política, toma como elemento central, na produção das políticas educacionais, a relação entre sindicalismo docente e governo.
Diversidade florística e estrutural das formações savânicas do Jalapão – Tocantins, Brasil
Authors: Viana Rodney Haulien Oliveira , Schaefer Carlos Ernesto Gonçalves Reynaud , Campos Prímula Viana , Neri Andreza Viana , Lolis Solange de Fátima , Oliveira Rafael José de , Corrêa Guilherme Resende , Saporetti Júnior Amilcar Walter , Souza Priscila Bezerra de
Published: April 2024

O objetivo deste trabalho foi descrever e avaliar a variação florística e estrutural que caracteriza as diferentes fitofisionomias encontradas na região do Jalapão (campo sujo, campo cerrado, cerrado sentido restrito, cerrado sentido restrito de topo de chapada, cerrado sentido restrito de encosta e cerrado rupestre de encosta), localizada no Estado do Tocantins. Foram amostradas oito áreas que seguiram o mesmo padrão de coleta, ou seja, dez parcelas de 20 × 50 m em cada área, distribuídas a cada 50 m. Em cada parcela, foram amostrados todos os indivíduos com circunferência ≥ 10 cm, medidos a 30 cm do solo. Nas parcelas de 20 × 50 m, foram instaladas subparcelas de 5 × 15 m, onde foram amostrados os indivíduos com circunferência ≥ 5 e < 10 cm, medidos a 30 cm do solo. Além disso, foram instaladas subparcelas de 2 × 2 m para amostragem dos indivíduos ˂ 5 cm. Nas oito áreas de estudo foram amostradas 338 espécies pertencentes a 76 famílias botânicas. A riqueza e o índice de diversidade tenderam a aumentar em direção aos estratos inferiores. O Cerrado Rupestre de Encosta (A4 e A7) apresentou a maior representatividade no número de espécies, com 153 e 158, respectivamente, enquanto o Campo Sujo (A2) apresentou baixa riqueza específica nos três estratos. O estrato superior revelou uma maior similaridade entre as fitofisionomias, ao passo que, no estrato médio e inferior, as parcelas mostraram-se mais dispersas. As espécies comuns às oito áreas foram Hirtela ciliata, Pouteria ramiflora, Davilla elliptica e Ouratea macranthos. O presente estudo comprova que as fitofisionomias apresentaram espécies exclusivas com arranjos florísticos e estruturais distintos, evidenciando que cada área possui uma identidade singular que contribui para a funcionalidade do ecossistema.
Assessment and Comparison of Community Resilience to Floods and Tsunamis in Padang, Indonesia
Authors: Mulia Fajar A , Handayani Wiwandari
Published: April 2024

Community disaster resilience is very important for the City of Padang, where floods occur almost every year. The city is also now at the peak of the Sunda Megathrust cycle, which could cause a tsunami in the near future. This study aims to assess and compare community resilience to different types of natural disasters that cause either shocks or stresses. Data were collected through the distribution of questionnaires to 150 respondents and field observations. The analysis employed a quantitative approach to assess community disaster resilience based on indices of social, community capacity, economic, and infrastructure dimensions. The highest values for the social dimension were found in both floods and tsunamis, scoring equally at 0.73, indicating high resilience. In contrast, the lowest values for the economic dimension were observed in floods (0.35) and tsunamis (0.32), indicating low resilience. A significant difference was noted in the community capacity dimension, with a resilience value of 0.50 for floods and 0.34 for tsunamis, indicating moderate and low resilience, respectively. The results of this analysis suggest that the community is more prepared to face floods, as evidenced by higher values in the community capacity and economic dimensions compared to tsunamis. Therefore, interventions to increase community resilience are needed. This study recommends the need for an integrative and comprehensive approach, beyond existing efforts, in increasing community resilience related to floods and tsunamis.
Metaizeau Technique for Treatment of Paediatric Isolated Radial Neck Fracture – Clinical and Radiological Outcomes – Case Control Study
Authors: Małolepszy Maciej , Buchcic Piotr , Grzegorzewski Andrzej
Published: April 2024

Background. Radial neck fractures account for 5-17% of elbow fractures and about 1% of all fractures in children. The subject of the presented research is assesment of clinical and radiological outcomes of the Metaizeau technique for treatment of isolated radial neck fractures in children.Material and methods. Retrospective analysis of clinical and radiological data of patients treated with the Metaizeau technique in our Department between 2015 and 2020. Twenty children with isolated radial neck fracture met the inclusion criteria. Results. Excellent outcomes of operative treatment were achieved in 95% of children. None of the complications described in the literature (e.g. avascular necrosis of radial head (AVN), malunion, nonunion) were observed in our case series.Conlcusions. 1. The Metaizeau technique for reduction and stabilisation of the radial neck fracture using a TEN is a safe and effective method in the paediatric population and produces good clinical and radiological results. 2.Furthermore, the minimal demands it places on surgical equipment make it possible for this technique to be recommended to orthopaedic surgeons managing paediatric trauma patients.