bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improvement on Strength, Durability, and Crack Closure Behavior of Bacteria Concrete under Marine Soil Exposures
Authors: Rajesh A. , Sumathi A. 
Published: January 2024

Abstract
In the concrete industry, bacteria-precipitated calcium carbonate (CaCO3) can be used to repair cracks. If cracks in concrete are not repaired in a timely manner, other durability problems arise, necessitating expensive crack repair methods. Bacteria can be isolated from an appropriate physical environment so that they continue to function effectively in concrete. In this study, suitable self-healing bacteria are isolated from a concrete dump yard and incorporated into concrete specimens. After 3 days of normal curing, the specimens were pre-cracked and kept in marine exposure conditions for a period of 56 days. Strength and durability properties such as compressive strength regain, ultrasonic pulse velocity (UPV), and dynamic Young’s modulus were studied, and a water absorption test was carried out for cubes exposed in marine soil conditions. Marine soil treated with a bacteria and nutrient solution (1:9) exhibited improved crack-healing behavior as well as increased strength and durability. Compressive strength regain of 45.98 %, an increased modulus of 54.04 %, and crack healing of 83.05 % were reached with a 60 % reduction in water absorption and 32.49 % increment in UPV values. A microstructure study demonstrates the presence of CaCO3 compounds in healed crack surfaces and treated marine soil, which is primarily due to bacterial action under marine exposures conditions.
Odpowiedzialność karna za czyny powiązane z działalnością patostreamerską. Odpowiedzialność karna patostreamera
Authors: Ziobroń Agata 
Published: January 2024

Patostreaming rozumiany jest jako publikowanie w Internecie treści patologicznych w celu zdobycia pieniędzy lub popularności w sieci. Zachowania patostreamerów, nie tylko naruszają normy społeczne, ale również mogą być kwalifikowane jako przestępstwa i wykroczenia[1]. Z uwagi na obszerność problematyki, w opracowaniu uwaga zostanie poświęcona jedynie patostreamom jako przestępstwom. Kwestia ta zostanie również rozważona przez pryzmat demoralizacji nieletnich aktywnych widzów patostreamów, zważywszy na fakt, że takie treści największą oglądalnością cieszą się wśród osób młodych, nastolatków[2]. Należy w związku z dynamicznym rozwojem patostreamingu rozważyć wprowadzenie typu czynu zabronionego demoralizowania małoletniego, jednak odmiennie niż np. w Azerbejdżanie – precyzując znamiona celem dopasowania go do specyfiki konkretnie tego zjawiska.

[1] Obecnie trwają konsultacje w sprawie projektu ustawy, która ma wprowadzać penalizację patostreamingu. https://www.chip.pl/2023/05/wiezienie-za-patostreaming-nowa-ustawa (dostęp: 08.05.2023r.)
[2]D. Ołownia, Patostreaming jako zjawisko patologiczne i dewiacyjne, „iNFOTEZY” 2021, nr 2, s. 65.
Usunięcie kary 25 lat pozbawienia wolności z katalogu kar Kodeksu karnego
Authors: Pańczyk Łukasz 
Published: January 2024

Ustawa z dnia 7 lipca 2022 r. o zmianie ustawy kodeks karny oraz niektóry innych ustaw jest jedną z największych nowelizacji polskiej ustawy karnej od lat. Wniesie ona do polskiego kodeksu karnego wiele istotnych zmian. Artykuł skupi się wokół modyfikacji katalogu kar (obecnego art. 32 kodeksu karnego) polegającej na uchyleniu kary 25 lat pozbawienia wolności przy równoczesnym rozszerzeniu granic zwykłego pozbawienia wolności, ustanawiając nowe ramy zagrożenia karą na czas od miesiąca do 30 lat pozbawienia wolności. Autor zwięźle przedstawi podstawowe w jego ocenie wątpliwości i kontrowersje związane z nadchodzącą nowelizacją w zakresie wyżej wskazanym, podejmując próbę analizy ratio legis usunięcia kary 25 lat pozbawienia wolności z polskiego porządku prawnego.
The status of verbal theme vowels in contemporary linguistic theorizing: some recent developments. An introduction.
Authors: Kovačević Predrag , Antonyuk Svitlana , Quaglia Stefano 
Published: January 2024

Contemporary theoretical approaches to morphology have devoted considerable attention to verbal theme vowels, i.e., the issue of whether they can be shown to possess identifiable syntactic or semantic properties. The position that theme vowels are items without syntactic or semantic import has profound theoretical consequences, entailing the existence of an autonomous component of Grammar dedicated to Morphology (Aronoff 1994, Anderson 1992, Embick and Halle 2003). Approaches that dispense with a separate morphological module must assume that theme vowels do, in fact, have discernible semantic contributions (Jabłońska 2004, 2007). In this paper, we review the arguments from both sides in order to set the stage for and critically examine a series of new contributions published in this Special Collection. On balance, evidence of a link between theme vowels and particular meaning components (either aspect or argument structure) can be observed, though only in the form of (often very strong) tendencies, which figure most prominently in ‘minimal pairs’ of verbs differing only in their theme vowel. We highlight this observation and the methodological approaches that were employed to extract it (quantitative corpus or experimental studies) as the main contribution of this Special Collection and discuss the theoretical significance of this finding. Our position is that it cannot be taken as a falsification of the view that theme vowels are ‘pure morphology’, to the extent that it would require proof of a perfect correlation between theme vowels and a particular semantic property. At the same time, following Marantz (1997) we consider the possibility that categorial rules are not necessarily to be expected in structures involving only a root and a little v, highlighting an innovative approach in terms of markedness hierarchies where aspect/argument structure is only one factor determining theme vowel selection (Milosavljević and Arsenijević 2022) as a possible way of deriving non-categorial rules observed in other papers from a mix of morphosyntactic and phonological factors.
СОЦИАЛЬНО-ПОЛИТИЧЕСКИЙ КОНСТРУКТИВИЗМ: МЕТОДОЛОГИЧЕСКИЕ ОСОБЕННОСТИ ИССЛЕДОВАНИЯ ПРОЦЕССОВ МОДЕРНИЗАЦИИ
Authors: Керимов Олег Юрьевич 
Published: January 2024

Целью исследования является анализ теоретико-методологической специфики базовых принципов социального и политического конструктивизма как парадигмы изучения и стратегического планирования модернизационных процессов в социальной и политической сфере.
Методологическую базу исследования составляют положения теории социального и политического конструктивизма, а также методы сравнительного анализа.
Результаты исследования. В то время как социально-технологическая и социокультурная парадигмы модернизации ориентируют на «естественный», эндогенный, длительный, эволюционный процесс перехода от традиционного типа общества к модерному, то социально-политический конструктивизм как подход к преобразованиям предполагает разработку проектов переконструирования социальных и политических институтов на основе конструирования и обновления символических оснований политики. При этом субъектом конструирования выступают правящие политические элиты. Несмотря на то, что в рамках социально-политического конструктивизма возможны вариативные сценарии модернизации незападных обществ — радикальный, либеральный, консервативный, с соответствующей направленностью конструирования смыслов и их объективизации в институциональных структурах, все эти сценарии имеют в своей природе дирижистские представления о политической воле коллективного субъекта преобразований как достаточном основании для инициирования и эффективного осуществления модернизации. Современные социально-политические конструктивистские проекты являются дирижистскими в силу лидирующей роли государства и политических элит как инстанции, осуществляющей выбор и директивную реализацию модернизационного проекта.
Перспективы исследования определяются тем, что социально-политический конструктивизм является не только теоретической парадигмой, но и концептуальной базой дирижистских стратегий осуществления модернизационных преобразований. Это связано с тем, что в основе конструктивизма лежит базовое представление о неограниченной пластичности общества и его политических институтов.
Решения внутригосударственных судов по искам о понуждении к сокращению выбросов парниковых газов: пространство дискреции государств
Authors: Ровнов Юрий Евгеньевич , Кинзикеева Камилла Рустемовна 
Published: January 2024

В 2022–2023 годах в Международный трибунал по морскому праву, Международный Суд и Межамериканский суд по правам человека поступили запросы о вынесении консультативных заключений об обязательствах государств по защите климатической системы Земли от антропогенных выбросов парниковых газов. За официальными формулировками запросов скрывается вопрос о том, сформировалась ли международно-правовая норма, обязывающая государства действовать более амбициозно в сфере смягчения антропогенного воздействия на выбросы парниковых газов, чем это предусматривает Парижское соглашение и поданные к настоящему времени «определяемые на национальном уровне вклады» (далее — ОНУВ). На аналогичный вопрос, но в сфере внутригосударственного права, уже успели ответить суды ряда государств. Самыми известными являются решения нидерландских судебных инстанций, которые предписали нидерландскому государству обеспечить сокращение совокупных выбросов парниковых газов страны к концу 2020 года до уровня на 25 % ниже 1990 года, а крупнейшему юридическому лицу страны Royal Dutch Shell — сократить выбросы CO2 по всей товаропроводящей цепи к концу 2030 года до уровня на 45 % ниже 2019 года. В основу исковых требований истцов и решений судов по таким делам ложатся, прежде всего, доклады Межправительственной группы экспертов по изменению климата (далее — МГЭИК) AR4, AR5 и SR15 и содержащиеся в них оценки о необходимых уровнях сокращения выбросов. Но если остроту климатической проблемы внутригосударственные суды оценивают одинаково, их выводы относительно юридических обязанностей государств разнятся. Решения нидерландских судов, полностью заимствовавших цифры сокращений из докладов МГЭИК, являются скорее исключением, чем правилом. В статье рассмотрены различные подходы внутригосударственных судов к толкованию обязанности государств в сфере сокращения выбросов парниковых газов: описаны мотивы, положенные судами Нидерландов в основание вышеупомянутых постановлений, и представлена альтернативная точка зрения судов иных государств, в частности Конституционного суда Германии и судов первой и апелляционной инстанции Брюсселя (Бельгия). Сделаны выводы о том, какие вопросы, вероятно, встанут перед международными судами при вынесении консультативных заключений в свете рассмотренной практики внутригосударственных судов.
Sistem informasi pengelolaan data simpan pinjam pada koperasi gardenia kebun raya cibodas
Authors: Fitriana Nissa Nur , Rahmaty Myrna Dwi 
Published: January 2024

Instansi dapat dikatakan berhasil apabila mampu memberikan pelayanan yang baik. Untuk mencapai keberhasilan tersebut, instansi dapat memanfaatkan teknologi informasi untuk meningkatkan efisiensi pelayanan. Sistem yang berjalan di koperasi Kebun Raya Cibodas dinilai masih belum bekerja secara optimal dalam proses pencatatan dan pengolahan data maupun laporan di bidang keuangan karena pencatatan masih dilakukan secara manual dimana data simpan pinjam anggota ditulis ke dalam buku besar. Oleh karena itu, tidak jarang anggota tidak mengingat besaran simpanan maupun angsuran pinjaman yang ditanggungnya. Maka perlu adanya sistem informasi yang bertujuan untuk mempermudah kinerja pegawai dalam penyusunan data koperasi. Metode penelitian yang digunakan yakni metode pendekatan objek serta menggunakan metode pengembangan prototipe. Penelitian ini menyelesaikan permasalahan yang ada dengan merancang dan membangun sistem informasi koperasi yang bertujuan untuk mempermudah kinerja pegawai Koperasi Gardenia dalam penyusunan data koperasi disertai dengan pembuatan laporan secara otomatis, dan serta memberikan informasi data simpan dan pinjam pada anggota melalui pesan singkat (SMS).
Novel MobileNet based Multipath Convolutional Neural Network for defect detection in fabrics
Authors: Gnanaprakash V Et al. 
Published: January 2024

Automatic fabric defect detection and classification is the most important process in the textile industry to ensure the fabric quality. In the existing systems, a learning based method is used for detecting defects in plain weave fabrics. In this paper, a novel MobileNet based Multipath Convolutional Neural Network (MMPCNN) architecture is proposed for detection and classification of simple and complex patterned fabric defects. In the proposed MMPCNN architecture, MobileNet model is used in the first path. In this, Gabor filter bank is used instead of conventional filters in the first convolution layer. A simple convolutional neural network architecture with Gray Level Co-occurrence Matrix (GLCM) features as an input is used in the second path of the MMPCNN architecture. Gabor filters are more useful for analyzing the texture with different orientations and scales. Each Gabor filter parameter has its own impact on analyzing the texture and extracting the information from the texture. Therefore, in this paper, the use of Gabor filter parameters in MMPCNN architecture is analyzed. The proposed model is experimented on the TILDA textile image database and it is able to achieve 100% accuracy with reduced trainable parameters for fabric defect detection and classification.
Image Coding based Orthogonal Polynomials Multiresolution Analysis with Joint Probability Context Modeling and Modified Golomb-Rice Entropy Coding
Authors: Puli Vinay Kumar Et al. 
Published: January 2024

The work proposes, a JPEG2000 like compression technique which is based on multiresolution analysis of orthogonal polynomials transformation (OPT) coefficients has been presented with bit modeling for Golomb-Rice entropy coding. Initially, the image under analysis is divided into blocks and OPT is applied to each divided blocks. Then, transformed coefficients are represented as sub bands like structure (multiresolution) and scalar quantization is carried out to the transformed coefficients to reduce the precision. The quantized coefficients are then bit modelled in the bit plane using a joint probability statistical model, and significant bits in the bit plane are chosen. On the selected relevant bits, a geometrically distributed set of context is modelled for further encoding with modified Golomb-Rice encoding to provide compressed data. The decompression procedure is just the reverse of compression procedure. Experiments and analysis are carried out to demonstrate the efficiency of the proposed compression scheme in terms of compression ratio and Peak-Signal-to Noise Ratio (PSNR), and the results are encouraging
Stylometric Analysis of Genre in Hindi Literature
Authors: Vibha Tiwari Et al. 
Published: January 2024

The field of stylometry is the quantitative study of writing style. It is used for analyzing various patterns in writing text such as vocabulary, parts of speech, punctuations etc. In this paper a detailed analysis of various techniques of Stylometry analysis is being done and some of their applications are discussed. In this research, stylometric analysis of Genre in hindi literature is being done. , we have used a dataset of four Hindi stories each from four different famous Indian authors. Features are extracted from the preprocessed text data using the TF-IDF (Term Frequency-Inverse Document Frequency) technique. PCA is applied for dimensionality reduction. The results were good, effectively creating different groups that stand for different literary motifs or styles within the dataset.
Utilizing J48 Algorithm in Predicting Students Dropout in Higher Education Institution
Authors: Noreen B. Fuentes Et al. 
Published: January 2024

Dropout refers to students who voluntarily withdraw from a course or program prior to completion. University dropouts continue to be a major concern for educators and represent a substantial loss of human resources for society. At Cebu Technological University, it is always a challenge of the Department Chairperson the declining student population, which resulted in the reduction of the number of sections per year level and under loading of faculty.
This study centers on the creation of a student-dropout model that predicts a student's behavior toward his studies. This model utilized the J48 decision tree algorithm, which extract data from the Student Information System (SIS) portal of the existing institution. Nine hundred sixty-one (961) demographic and academic datasets from students enrolled in the two programs under the College of Computer, Information, and Communications Technology (CCICT) of Cebu Technological University (CTU) with nineteen (19) attributes. During the testing procedure, 10-fold cross-validation was utilized. The J48 pruned tree utilized an average of 3 foliage with 4 as the measure of the tree. The Kappa statistic yields a value of 0.8617 and its Correctly Classified Instances rate of 93.7%. This algorithm helps a lot to the institution in reducing the escalation of the attrition rate and providing proactive measures to address the issue.
Design a New Neural Network Architecture Using a Layer of Neurons
Authors: Ibrahim Altarawni Et al. 
Published: January 2024

Nowadays there are many different models of artificial neural networks. The difference between these models lies in the learning methods only, that is, in the rules for changing the parameters of the algorithm tuning, with or without links and side comments. While studying the general framework of network models, we see that the rules for obtaining the result and the mechanism for calculating the error can differ. For example, a multilayer realization might produce a threshold function when used as a classifier, or a linear function if used as an internal typeface.
Where this research came to discuss the possibilities of the standard representation of some models of artificial neural networks, which clarify and treat some of the characteristics of that representation. Which can be considered an essential element in the process of typical representation of these networks, where a new proposal is made during this representation by using a “layer” of neurons, in other words, using a group of neurons that work in parallel and perform the same functions for which they were set .
Evaluation of Lung Function by Spirometry in Textile Mill Workers
Authors: Pradip H. Kadam Et al. 
Published: January 2024

Background: In present scenario industrialization is growing at a faster rate throughout the world in developed as well as developing countries. Occupational lung disease is becoming one of the major problem in occupational health. Many environmental problems are associated with textile industry such as water pollution, noise pollution, soil pollution and air pollution. Out of these different pollutions air pollution resulting from cotton dust is the most important factor affecting health of the workers. Various studies in India and outside have been carried out in cotton mill workers with different results. So present study was planned to evaluate the lung function of cotton mill workers by spirometry in this part of country.
Material & methods: The study was carried out in 55 participants who were exposed to cotton dust directly. 55 controls were also selected from the workers of same mill but not exposed directly to cotton dust. Spirometry findings were compared between two groups.
Results: The values of most of the PFT parameters were significantly reduced in subject group compared to control group (p<0.05). However there was no any significant difference in the values of FEV1/FVC ratio between the groups (p>0.05).
Conclusion: From our study we conclude that workers in the cotton mills are exposed to cotton dust and various types of other air pollutants. And the chronic exposure results in decline in pulmonary function
Street Light Controller Including Automatic Traffic Light Controller System Implementation on FPGA
Authors: Ajaykumar Dharmireddy Et al. 
Published: January 2024

— The number of vehicles has greatly expanded over time and is continually growing. Due to traffic congestion, a sizable amount of working hours must be spent on the roads, which has an indirect negative influence on the economy and leads to preventable road accidents that end in fatalities. While metropolitan infrastructures are developing much more slowly, the number of vehicles is rising. We require a system that can successfully manage such a circumstance. A system that can efficiently manage traffic is what we call an automatic traffic control system. Moreover, a system for automatic street lights is built within. This suggested concept tries to automate traffic regulation based on density and a controller for automatic street lights that only come on at night. It detects vehicles by using IR (Infra Red) sensors in every direction. IR sensor modules for traffic lights and an LDR sensor module for streetlights provide the inputs, respectively. Verilog HDL is used to implement the solution, and Xilinx Vivado is used to simulate it. An FPGA has this suggested model pre-programmed (Field Programmable Gate Array).
Analysis of Vision based Techniques for the Translation of Indian Sign Language
Authors: Attili SubhaVidisha Et al. 
Published: January 2024

Sign language acts as a medium of communication among those of the hearing impaired and mute community. However, it cannot be easily understood by common people. Various research has been done to bridge this gap by developing Sign Language Recognition (SLR) methodologies. Studies say that 1 in every 5 deaf people is Indian.
In this paper, a thorough review of these methodologies has been done, to compare and contrast various aspects of them. This includes an overview on different preprocessing methods used like segmentation, image morphological processing, cropping, etc, feature extraction techniques like Fourier Descriptors, Image Moments, Eigen values, Mediapipe and others. This study also covered classification models spanning from Distance metrics to Kernel based approaches and feedforward neural networks, along with Deep Learning based methods such as CNNs, LSTMs, GANs, Transformers etc.
Electronic Health Record System using Blockchain Technology
Authors: Anchala Balaraj Et al. 
Published: January 2024

The healthcare sector is frequently known for being delicate and intricate.Individuals' sensitive information must be kept safe, secure, and protected.Blocks of the blockchain are secured and bound to each other using cryptographic principles.
By maintaining the patient at the centre of the medical ecosystem system and establishing greater security, interoperability, and privacy of stored patient records, blockchain has the potential to eradicate the problems ailing the industry and transform healthcare.
By decentralizing and encrypting health records, blockchain ensures that patient data is securely stored and tamper-proof. Additionally, blockchain can facilitate the seamless exchange of medical information between different healthcare providers, leading to better coordination of care and reduced medical errors. By leveraging Ethereum's smart contract functionality, healthcare organizations can securely store and
share patient data, ensuring its integrity and confidentiality. Moreover, Ethereum's programmable nature allows for the development of decentralized applications (DApps) that can streamline various healthcare processes, such as medical record management, supply chain tracking, and clinical trials. Overall, the integration of blockchain in the healthcare industry has the potential to revolutionize the way healthcare data is managed, ensuring privacy, security, and efficiency in patient care.