bluuebunny/crossref_metadata_2025_split huggingface dataset:
MOTIVATION SYSTEM FEATURES FORMATION OF PEDAGOGICAL STAFF DEVELOPMENT
Authors: HOI NATALIIA , ZHUK OLHA , BASARAB VОLОDYMYR 
Published: December 2023

The article highlights the urgency of the problem of forming a system of motivation for the development of teaching staff. The authors emphasize the need to create a quality system of staff motivation in educational institutions. Emphasis is placed on the importance in modern conditions of creating an appropriate motivational basis that will be able to motivate teachers to effective professional activity and the provision of quality educational services. The article partially describes the use of innovative forms and methods of stimulating teachers, which will contribute to high productivity. The authors analyze the main tasks of the system of motivation of professional activity of teachers at the level of strategy of development of general secondary education institutions. The priority conditions for the development of the system of motivation of teachers are determined, the important indicator of the ratio and importance of the influence of motivating and supporting factors of the external and internal environment is characterized.
Researchers claim that the motivational sphere in the management of educational institutions is a necessary element of the overall management system, is an extremely mobile and dynamic structure. The authors substantiate the importance of creating a favourable environment for motivating the development of teachers, which will provide an atmosphere of inspiration.
ФОРМУВАННЯ НАВЧАЛЬНО-ПРЕДМЕТНОЇ КОМПЕТЕНТНОСТІ УЧНІВ ОСНОВНОЇ ШКОЛИ З ФІЗИКИ ЗАСОБАМИ STEM-ТЕХНОЛОГІЙ
Authors: VOITKIV HALYNA , YABLON LIUBOV 
Published: December 2023

Стаття присвячена визначенню сутності поняття “навчально-предметна компетентність з фізики”, встановленню універсальних і специфічних вмінь, через які вона проявляється в учнів. Авторами виділені когнітивний, діяльнісний, емоційний, методологічний компоненти навчально-предметної компетентності з фізики, рівні сформованості навчально-предметної компетентності в учнів та показники для визначення кожного з рівнів. Обґрунтовано важливість використання Stem-засобів, до яких відносять сучасні засоби і технології, що пропонує техніка, виробництво та цифровий світ для формування вміння вивчати фізику не тільки на уроках, але й в подальшій професійній сфері діяльності. Визначено найбільш використовувані Stem-засоби в навчанні фізики та наведено приклади їх впливу на формування кожного з компонентів навчально-предметної компетентності.
ВИКОРИСТАННЯ ЕЛЕМЕНТІВ ПРОБЛЕМНОГО НАВЧАННЯ В МАТЕМАТИЧНОМУ РОЗВИТКУ ДІТЕЙ СТАРШОГО ДОШКІЛЬНОГО ВІКУ
Authors: KULISH INNA , BABELA NATALIIA 
Published: December 2023

Освіта сьогодні передбачає залучення все більшого числа інноваційних методів і технологій навчання. Таким є використання проблемного навчання як методики викладання, що пов’язують з іменами Barrows and Tamblyn, які вперше застосовували її в 1980-х у вищій школі. З того часу дана технологія достатньо широко практикується в освітньому просторі.
У даній статті досліджуються аспекти, що стосуються використання проблемного навчання в освітньому процесі в умовах закладу дошкільної освіти, зокрема, елементів проблемного навчання в математичному розвитку дітей старшого дошкільного віку; проаналізовано погляди науковців щодо ролі проблемного навчання в освітньому процесі, а саме для формування математичної компетентності в дітей старшого дошкільного віку; акцентовано увагу на тому, що позитивно вплине на формування життєвої компетентності в дітей, готуватиме їх до вирішення реальних проблем у повсякденному житті та майбутній професійній діяльності.
СУТЬ КОМПЕТЕНТНІСНОЇ МЕТОДИКИ НАВЧАННЯ СИНТАКСИСУ СКЛАДНОГО РЕЧЕННЯ В ОСНОВНІЙ ШКОЛІ
Authors: ЩУПКО СВІТЛАНА 
Published: December 2023

Статтю присвячено лінгвістичним основам навчання синтаксису складного речення в основній школі. Системне вивчення синтаксису складного речення є найважливішим у здійсненні учнями мовленнєвої діяльності та досягненні мети мовної освіти загалом. У статті з’ясовується, наскільки знання із синтаксису відповідають сучасним вимогам, характеризують теоретичне підґрунтя реалізації компетентнісного підходу в мовній освіті, аналізує стан різноаспектних наукових досліджень синтаксистів, а також визначає лінгвістичні засади компетентнісної методики навчання синтаксису складного речення.
Muerte segura: Violencia étnica en la Era de la Globalización
Authors: APPADURAI Arjun 
Published: December 2023

En el artículo, escrito en 1998, se revisan los estudios antropológicos sobre violencia étnica que se habían llevado a cabo desde 1990. En estos estudios se había identificado la incertidumbre social como catalizador para este tipo de violencia, conclusión de la que se sirve para este análisis de la globalización. Siendo éste un fenómeno que no hace sino crear incertidumbres, la violencia étnica que se desencadena en este contexto resulta brutal.
Desempeño productivo de Arapaima gigas en estanques de clima templado
Authors: Ganoza C. Francisco , Gonzales M. Luis , Prieto D. Cruz , Alvarez V. Jhon , Barreto M. Jesús , Airahuacho B. Felix 
Published: December 2023

El estudio monitoreó el desempeño productivo del paiche (Arapaima gigas) durante 30 meses en condiciones de clima templado de la Costa Central del Perú. Tras 40 días de aclimatación y con 80% de sobrevivencia, los peces (n: 32, peso: 44 ± 34 g, longitud: 17.6 ± 4.9 cm) fueron transferidos a una piscina en invernadero (8 peces/m3) y alimentados al 5% de su peso corporal con una dieta de 60% de alimento balanceado para truchas y 40% de pescado fresco deshuesado y eviscerado. Después de 15 meses bajo invernadero y con el 62% de sobrevivencia, los peces (n: 20, peso: 4.3 ± 1.0 kg, longitud: 77.3 cm) fueron transferidos hacia un estanque de tierra excavada al aire libre (6.9 peces/m3), y alimentados con pescado fresco al 5% del peso corporal. La temperatura de agua fluctuó entre 23.2 y 26.0 °C en invernadero, y entre 23.0 y 24.6 °C en estanque al medio ambiente, siendo hasta 18% menos de temperatura con respecto a la mínima del agua en su hábitat natural. A los 32 meses de edad, el paiche alcanzó 1.23 m de longitud y 16.89 kg de peso. Las ganancias de peso fluctuaron entre 3.4 y 20.9 g/d en invernadero y 8.4 y 74.6 g/d en estanque al medio ambiente. En las estaciones frías, los peces se caracterizaron por mostrar mayores consumos de alimento, pero menores ganancias de peso, reflejándose en pobres índices de conversión alimenticia. Se registró mortalidad de 38% solo en la etapa de invernadero. Los parámetros productivos del paiche en condiciones de clima templado fueron inferiores a los alcanzado en su hábitat de clima tropical; sin embargo, la ganancia de peso menos variable en invernadero y la conversión alimenticia más eficiente en estaciones cálidas sugieren que su cultivo sería viable en condiciones de invernadero.
The ability of Sitophilus oryzae (Coleoptera, Curculionidae) to transmit Mycobacterium bovis: Morphology, cultural biochemical properties of the bacteria
Authors: Zazharskyi V. V. , Alifonova K. V. , Brygadyrenko V. V. , Zazharska N. M. , Goncharenko V. P. , Solomon V. V. 
Published: December 2023

The problem of tuberculosis has been relevant for many years due to active spread of the infection pathogen around the globe, in particular in Ukraine. In this article, we determined the epizootic role of the rice weevil (Sitophilus oryzae (Linnaeus, 1763); Coleoptera, Curculionidae) in the spread of Mycobacterium bovis. We identified the effect of the beetle on properties of the pathogen, particularly the changes in morphology, cultural, biochemical, and biological properties after the bacteria had travelled through the body of the rice weevil. To achieve our objectives, we used the museum 100th passage of the virulent strain of M. bovis. We employed microscopic, cultural, biochemical, biological (infecting the biological model), pathoanatomic, histological methods, and PCR studies. The rice weevil is able to retain mycobacteria and release them into their environment for 30 days after becoming infected, with gradual decrease in the number of microbial cells. According to morphology and cultural properties, the pathogen we isolated in the experiment was identical to the initial culture. Enzymatic activity of the bacteria varied. The bacteria that had passed through the intestines of M. bovis were observed to have changes in the biochemical parameters which helped them to adapt to the new environment. We measured the effect of the rice weevil on pathogenicity of M. bovis, isolated directly from the beetle and from grain contaminated with the insects during the experiment. The practical importance of the study consists in expansion of our understanding of the ways M. bovis spreads, identification of effect the rice weevil has on mycobacteria. It also might help in the search for ways to interrupt the chain of tuberculosis transmission – prevention of spread of the disease to favourable areas.
Campylobacter in Africa – A specific viewpoint
Authors: Paintsil Ellis Kobina , Masanta Wycliffe O. , Dreyer Annika , Ushanov Leonid , Smith Stella I. , Frickmann Hagen , Zautner Andreas E. 
Published: December 2023

AbstractCampylobacter infections and campylobacteriosis-associated post-infectious sequelae are a significant global health burden that needs to be addressed from a specific African perspective. We conducted a comprehensive literature search on NCBI PubMed to compile a comprehensive narrative review article on Campylobacter infections in Africa, focusing on key aspects in human and veterinary medicine as well as food hygiene. We specifically focused on the epidemiology of enteropathogenic Campylobacter spp. in sub-Saharan and North Africa considering antimicrobial susceptibility. The most significant sequela resulting from molecular mimicry to Campylobacter surface structures is the Guillain-Barré syndrome, which was mainly examined in the context of limited studies conducted in African populations. A dedicated subsection is allocated to the limited research on the veterinary medically important species Campylobacter fetus. There are significant differences in the composition of the gut microbiome, especially in rural areas, which affect the colonization with Campylobacter spp. and the manifestation of campylobacteriosis. There may be a problem of overdiagnosis due to asymptomatic colonization, particularly in the detection of Campylobacter using molecular biological techniques. To reduce the colonization and infection rate of Campylobacter, we propose implementing several control measures and urge further research to improve the current understanding of the peculiarities of campylobacteriosis in Africa.
Authenticating peanut butter and yoghurt in the Kumasi Metropolis of Ghana using near infrared spectroscopy
Authors: Bimpong Donald , Adofowaa Lois Amponsah , Agyeman Ama , Boakye Abena , Oduro Ibok Nsa , Otoo Ellis William , Zaukuu John-Lewis Zinia 
Published: December 2023

AbstractPeanut butter and yoghurt are targeted for adulteration intended at consumer deception. This study aimed to fingerprint and detect peanut butter and yoghurt adulteration with cassava flour and starch using Near Infrared Spectroscopy (NIRS) in a quasi-experimental approach. Ingredients for laboratory sample preparation were obtained from the Kumasi Metropolis. Peanut butter was adulterated at 1, 3, 5, 10, 15, 20% w/w and yoghurt at 0.25, 0.5, 1, 3, 5, 10, 15, 20, 25, 45, 50% w/w. Selected concentrations mimicked practices on the market. Marketed products were randomly sampled from six markets in the Kumasi Metropolis to validate the study models. Samples were scanned with a hand-held NIRS in triplicates. Chemometric (Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA) and Partial Least Square Regression (PLSR) models) statistical methods were employed to develop classification and prediction models. Peaks with spectral bands such as 1050 , 1200 and 1450 nm were observed for peanut butter and 990–1100 nm, 1100–1200 nm and 1300–1408 nm were observed for yoghurt in the NIR spectrum. Some yoghurt brands were suspected of containing cassava starch, while Peanut butter from the different markets differed based on classification models. Cassava flour and starch concentrations were quantitatively predicted by PLSR with an R2CV of 0.98 and an error of 0.9 g/100 g (low error).
Identification of the minimum effective dose for binary endpoints
Authors: Awaab John Ayuekanbey , Adjabui Michael Jackson , Dioggban Jakperik 
Published: December 2023

In response to an open topic posed by Tamhane and Dunnett (1999), this article suggests a confidence interval approach for determining th minimum effective dose of medicine with binary data. To address this issue, we employ a partitioning strategy together with a confidence interval technique. In medical research, binary data typically appear about dichotomous outcomes, such as the onset of a disease or the effectiveness of a medication. The suggested method not only determines the lowest dose of a medicine that would work, but it also offers an estimate of the therapeutic impact of the nearest unsuccessful amount. Those details are useful for further research in clinical trials. The procedure controls the family-wise error rate. The acetaminophen data example in this article was used to calculate the minimum effective dose, which was determined to be 151 $\mu$ g. The findings revealed that Wilson's score showed a strong coverage probability. The findings further revealed that the Wald and Binomial Distribution have poor coverage probability. We recommend that Wilson's score with a stepwise confidence-based procedure is more suitable for dose discovery studies with binary outcomes
The use of the Korean honorific system In the family-themed K-pop (Korean pop) song lyrics
Authors: Rahmah Dwita , Sukyadi Didi 
Published: December 2023

Korean society, to this day, generally still applies Confucian principles in its discourse. Confucian principles in speech are expressed through the use of politeness in language This research conducted to determine how the Korean honorific system is used in the family-themed K-POP (Korean Pop) song lyrics and the factors that influence such use. This research was designed as a qualitative study. The data were collected by using a document analysis technique. Meanwhile, the data analyzed by using a linguistic data analysis technique, with reference to Kang, et al.’s (2005) Korean honorific system theory and Lee’s (2002) theory of social factors that influence the application of the Korean honorific system. This research resulted in 38 Korean honorific system expressions. The most commonly used Korean honorific system type is, namely, the honorific vocabulary. Because songwriters often used vocabulary in the form of honorifics, where the vocabulary was a pronoun to mention the characters in the lyrics of the song. The use of the Korean honorific system was influenced by various factors, including age, social status, intimacy, and context. While the gender factor was not found, this is likely due to the speaker and the addressee having different ages and social status.
An Effective Supply Chain Model using Blockchain in IoT with Trust Enabled Hybrid Concensus Algorithm
Authors: Yassir Farooqui Et al. 
Published: December 2023

With the rapid growth of multiagent systems, concerns about privacy and security have assumed a position of paramount importance. Blockchain technology has gained a lot of attention since it first appeared because of its benefits in terms of decentralization, accessibility, traceability, and the capacity to be trustless. The increasingly complicated supply chains in today's world face significant issues regarding traceability and integrity. Blockchain technology holds out the possibility of developing a new concept for supply chain traceability, lapping these worries. Thus, in this research, the trust enable hybrid consensus algorithm is proposed for establishing consistency in the network with the irrelevant traders. The authorization is identified by the proposed model for accessing the Blockchain network depending on the accessibility rules. Depending on the various information sources, the authenticity of data is calculated, which makes the interaction between both the agent as well as the resource. The efficiency of the proposed model is determined by three different measures for secure data transfer. The attained minimal transaction time is 0.856 ms, memory usage is 87.684 KB, and responsiveness is 3.599 ms, respectively.
A Lightweight Deep Learning Model for The Early Detection of Epilepsy
Authors: Saranya Et al. 
Published: December 2023

Epilepsy is a neurological disorder and non communicable disease which affects patient's health, During this seizure occurrence normal brain function activity will be interrupted. It may happen anywhere and anytime so it leads to very dangerous problems like sudden unexpected death. Worldwide seizure affected people are around 65% million. So it must be considered as serious problem for the early prediction. A number of different types of screening tests will be conducted to assess the severity of the symptoms such as EEG,MRI, ECG, and ECG. There are several reasons why EEG signals are used, including their affordability, portability, and ability to display. The proposed model used bench-marked CHB-MIT EEG datasets for the implementation of early prediction of epilepsy ensures its seriousness and leads to perfect diagnosis. Researchers proposed Various ML /DL methods to try for the early prediction of epilepsy but still it has some challenges in terms of efficiency and precision Seizure detection techniques typically employ the use of convolutional neural networks (CNN) and a bidirectional short- and long-term memory (Bi-LSTM) model in the realm of deep learning. This method leverages the strengths of both models to effectively analyze electroencephalogram (EEG) data and detect seizure patterns. These light weight models have been found to be effective in automatically detecting seizures in deep learning techniques with an accuracy rate of up to 96.87%. Hence, this system has the potential to be utilized for categorizing other types of physiological signals too, but additional research is required to confirm this.
Design and Implementation of Hybrid Multiplier for DSP Applications
Authors: Amgoth Laxman Et al. 
Published: December 2023

In recent decades, there has been a consistent reduction in feature sizes in integrated circuit (IC) technology, leading to the need for increased placement of functional circuits on each chip. When it comes to the design of digital circuits, there is a significant focus on hybrid logic. Hybrid logic is highly regarded due to its ability to consume less power while achieving higher efficiency. Hybrid logic circuits have similarities to complementary metal-oxide-semiconductor (CMOS) transistors, yet possess a reduced transistor count while offering enhanced performance and reliability capabilities. This study examines the modeling and implementation hybrid multiplier with of help of hybrid adder. The functionality of adder is determined with the help of hybrid logic producing XOR/XNOR functionalities in single circuit. The proposed hybrid Multiplier, which incorporates a hybrid Adder, has been successfully designed and implemented using CMOS 45nm technology and Mentor Graphics software the hybrid transistor logic multiplier demonstrates a decrease in total delay of 60% compared to CMOS.
Enhancing Image Quality: A Comparative Study of Spatial, Frequency Domain, and Deep Learning Methods
Authors: Rashmi Agrawal Et al. 
Published: December 2023

Image restoration and noise reduction methods have been created to restore deteriorated images and improve their quality. These methods have garnered substantial significance in recent times, mainly due to the growing utilization of digital imaging across diverse domains, including but not limited to medical imaging, surveillance, satellite imaging, and numerous others.
In this paper, we conduct a comparative analysis of three distinct approaches to image restoration: the spatial method, the frequency domain method, and the deep learning method. The study was conducted on a dataset of 10,000 images, and the performance of each method was evaluated using the accuracy and loss metrics. The results show that the deep learning method outperformed the other two methods, achieving a validation accuracy of 72.68% after 10 epochs. The spatial method had the lowest accuracy of the three, achieving a validation accuracy of 69.98% after 10 epochs. The FFT frequency domain method had a validation accuracy of 52.87% after 10 epochs, significantly lower than the other two methods. The study demonstrates that deep learning is a promising approach for image classification tasks and outperforms traditional methods such as spatial and frequency domain techniques.
Brain Tumour Detection Using Resnet 50 and Mobilenet
Authors: G.V.S.N.R.V. Prasad Et al. 
Published: December 2023

The scientific community defines a brain tumour as a mass or growth of abnormal cells in the brain. A brain tumour is a development of abnormal cells, some of which may develop into cancer. MRI scans are the most common way to find brain tumours and are used to detect brain cancer. There are different types of tumours exist. They are cancerous(malignant)and non- cancerous(benign) in the brain identification of unchecked tissue growth in MRI may help us diagnose brain cancer. Machine Learning and Deep Learning algorithms are used to identify this tissue growth. When these algorithms are applied to MRI scans, a faster prediction of brain tumours is made, and a better degree of accuracy aids in treating patients. MRI scans allow us to perform rapid analysis and identify the exact location of unwanted tissue growth. Various uses include image recognition and identifying objects, image classification, segmentation, neural network and data processing. The proposed model successfully classified the MRI image into four classes: glioma, meningioma, and pituitary tumour and no tumour, indicating that the given brain MRI has no tumour. In this paper the proposed models are MobileNet and Resnet50 and gives accuracy of 0.98. These models classifies the type of tumour very accurately.