bluuebunny/crossref_metadata_2025 huggingface dataset:
Smart Cleaning System VisionSweep
Authors: Lin Zeyu
Published: February 2025

This paper introduces VisionSweep, a novel smart cleaning system designed to address current limitations in household robotic cleaning by leveraging advanced vision and path-planning technologies. Traditional cleaning robots often lack adaptability, resulting in inefficient cleaning patterns and unnecessary energy consumption. VisionSweep overcomes these challenges through a camera-based vision system that captures human movement patterns and identifies areas requiring cleaning. By employing image preprocessing and the Single Shot Detector (SSD) model, the system accurately detects dirt and high-traffic zones. A path-planning algorithm, such as Dijkstras, optimizes the cleaning route based on detected dirt and human activity, ensuring that the cleaning robot prioritizes key areas. This solution offers a promising approach to resource-efficient and effective automated cleaning within smart home environments.
MoodType An Emotion Monitoring App Based on the Mobert Model
Authors: Shao Zetong , Tu Peijun , Gao Yutong , Wang Yaqi
Published: February 2025

Nowadays, psychological diseases can hardly be detected due to the lack of willingness to get help from professional doctors. With the appearance of smartphones, mobile applications offered a promising future for the auto-monitoring of psychological diseases. In this article, we introduced MoodType, an interactive diary application that offers related mood suggestions based on the input of users. MoodType can classify six different mood types based on the diary the user wrote in this application. Moreover, it offers white noise and pure music for users to release pressure when they are writing the diary. Our data collection comes from more than 20,000 comments on Twitter (Now X), achieving a 0.937 F1-score for the six different moods. In the process of a weeks user experience stage, most of the participants held a high evaluation of both its mood analyzing and interactive experience, showing the reliability of the MoodType.
Collision Detection Algorithms for Deformable Models: A Literature Review
Authors: Wang Xiaoyue , Liu Zhongzheng
Published: February 2025

Collision detection is one of the most important features of video games that involve models that might run into each other. Video game players want to see the two models moving against each other to crash but not go through each other; this is why collision detection has come about. For ordinary models, like a box or a ball, collision detection is quite straightforward: check if the bounding volume of the object has gotten into the bounding volume of another object. For deformable models, like a piece of cloth, there would be a great many of calculations for the collision, since it has a lot of bounding volumes in one model. As a result, a range of methods have been introduced to game developers to optimize players experience and computers performance. All of them have something to do with essential features like bounding volumes, but they use these basic things in different ways.
Traffic Flow Prediction Using Stacked Ensemble Models for Intelligent Traffic Management
Authors: Li Shouming , Xiong Hanfeng
Published: February 2025

As urbanization accelerates, the importance of traffic prediction in optimizing intelligent traffic management systems becomes increasingly evident. However, the process of accurate traffic prediction faces challenges such as the complexity of traffic data, the dynamic nature of traffic patterns, and the inconsistency of model performance across different conditions. To address these challenges, this paper proposes an innovative prediction method based on ensemble models. Specifically, the approach begins by creating a voting classifier that filters out highly accurate models, ensuring that only the best-performing models are selected for further use. Following this, a stacked ensemble model is constructed, which combines the predictions of these high-accuracy models to improve the overall prediction performance. The experimental results, evaluated based on prediction accuracy, show that this method significantly outperforms traditional approaches regarding precision and reliability. This research is highly significant, as it not only enhances the accuracy of traffic flow prediction but also contributes to the optimization of traffic management systems. Additionally, it promotes further exploration and development of more robust and efficient prediction models, potentially benefiting other fields that rely on predictive analytics.
Difference Transconductance Amplifiers and Their Applications
Authors: Yan Haochen
Published: February 2025

As technology advances, the size requirements for Complementary Metal Oxide Semiconductors (CMOS) continue to decrease, creating the need for emerging components to meet the requirements. These components are numerous and complex, with many uses and different functions, which are easy to confuse for scholars. This article reviews existing literature to specifically introduce two differential transconductance amplifiers, namely Voltage Differential Transconductance Amplifier (VDTA) and Current Differential Transconductance Amplifier (CDTA), This paper also outlines their working principles and their respective applications, such as VDTA used as a filter and four-quadrant multiplier and divider, and CDTA used as a modulator and biosensor. Additionally, these two amplifiers can be combined as a memristor. By reviewing these existing experiments, readers can get some specific knowledge that can help them distinguish various transconductance amplifiers, as well as understand the directions and fields in which these amplifiers can be applied. Finally, it points out that despite the promising development of VDTA and CDTA, the scenarios and conditions for their use still need to be further studied. It also proposes future prospects for these technologies.
PC-GraphNet: A Hybrid Model for Point Cloud Completion
Authors: Xie Yunbo
Published: February 2025

Point cloud completion is an important problem in 3D computer vision that aims to reconstruct the missing or occluded parts of point cloud data, often captured through LIDAR or depth sensors. Traditional methods have struggled to effectively complete these point clouds while maintaining fine details and preserving global context, particularly in the presence of complex occlusions and sparse data. In this paper, we introduce a novel deep learning architecture for point cloud completion, named PC-GraphNet. This method combines the strengths of three powerful paradigms: point-based networks, graph convolutional networks (GCNs), and generative adversarial networks (GANs). PC-GraphNet leverages a hybrid approach that integrates a point-wise attention mechanism for local feature refinement, a GCN for global contextual reasoning, and a GAN-based decoder for generating realistic completions. By incorporating both local and global feature extraction, our model significantly improves the quality of completed point clouds, especially in cases of occlusions and sparse input data. Our experiments demonstrate that PC-GraphNet outperforms state-of-the-art methods in terms of both completion accuracy and visual fidelity. Additionally, the model is computationally efficient, making it suitable for real-time applications.
Home Assist Robots via Vision and Oral Guidance
Authors: Xiao Cindy
Published: February 2025

With the acceleration of population aging, the demand for elderly care services is growing rapidly, and the shortage of caregivers has become a global social issue. To address this challenge, the application of artificial intelligence technology in the field of elderly care, and the development of assistive robots capable of providing personalized and efficient care services, has become a focus of research. This study aims to develop an intelligent robot that can understand elderly people's instructions, perceive the surrounding environment, and provide personalized assistance services by integrating advanced artificial intelligence technologies such as image recognition and natural language processing into the robotic system. Specifically, the robot will have the following functions: First, the robot can conduct natural language interaction. Through speech recognition and semantic understanding technology, it can accurately recognize the elderly person's voice commands and conduct natural and fluent conversations. Second, the robot can realize visual perception. By utilizing image recognition technology, it can perceive the surrounding environment in real-time, recognize objects, faces, etc., and respond accordingly based on the scene. Finally, based on the understanding of instructions and the perception of the environment, the robot can complete a series of daily tasks such as fetching objects, companionship, and reminders. By developing and evaluating such intelligent robots, we hope to improve the quality of life for the elderly, reduce the workload of caregivers, promote innovation in elderly care service models, and provide technical support and theoretical foundation for future intelligent elderly care.
Human Flourishing by Living in Harmony with Nature and Moral Integrity: Insights from Epictetus the Stoic
Authors: Prahasan Marimuthu , Mahir I. L. M.
Published: February 2025

This research analyzes the Stoic philosophy of Epictetus, focusing on its relevance to achieving flourished life through living in harmony with nature and moral integrity. In a contemporary world dominated by external validations and material pursuits, individuals struggle to maintain ethical conduct and align their actions with authentic nature. Epictetus offers a practical framework for living a flourished life through emphasizing self-awareness, rational decision-making, and the cultivation of moral character. The study addresses key research questions: How does living in harmony with nature contribute to a morally upright life? What Stoic principles can individuals adopt to cultivate self-discipline and ethical conduct? How do Epictetus’ views on women’s moral agency challenge traditional gender roles? The objectives include exploring the application of Epictetus’ teachings in modern life, identifying methods for self-discipline, and understanding his views on gender equality. Using content analysis and hermeneutic interpretation of Epictetus’ two major books Enchiridion and Discourses, this research identifies practical methods for ethical living, such as self-restraint, rational reflection, and disciplined practice. The findings reveal that living in accordance with nature fosters inner tranquility and human flourishing, while Epictetus’ recognition of women’s moral agency provides a radical re-evaluation of their societal role. The study concludes that Stoic philosophy, as articulated by Epictetus, offers timeless guidance for navigating modern ethical challenges, promoting a life of virtue, authenticity, and alignment with the natural order. By internalizing these principles, individuals can profound fulfillment in this life.
Ban on Corporal Punishment in Schools: the Views of Basic School Teachers in Wassa Amenfi West Municipality, Ghana
Authors: Twumasi Ishmael , Baah Alice Takyiwaa , Amewuda Reuben , Kwesi Sabastian Samuel , Appianing Joseph , Tetteh Alex
Published: February 2025

This research was conducted to investigate the views of basic schoolteachers about the ban on corporal punishment in Wassa Amenfi West Municipality, Ghana. The study specifically sought to achieve three objectives: to explore the perception of teachers about the ban on corporal punishment in basic schools; to examine the teachers’ views about how the ban on corporal punishment is affecting their work as teachers, and to determine alternative measures, instead of corporal punishment, used by teachers in basic schools. The study adopted a descriptive survey research design with a population of 720 public basic schoolteachers. The simple random technique was used to select 180 respondents for the study. Questionnaires were used to collect the data from the teachers. Data collected were analyzed both quantitatively and qualitatively. The findings reported that most teachers have a negative perception of the ban on corporal punishment, preferring its use in managing student discipline. The findings of the study revealed that the ban on corporal punishment hurts the work of teachers since it has made their jobs more difficult and has increased their stress levels. Alternative strategies often suggested by teachers instead of corporal punishment include guidance and counselling, manual labor, establishing rules and regulations with students, removing certain privileges from students, and suspension. It was recommended that the Ghanaian government, through the Ministry of education, revise the law concerning the ban of corporal punishment to allow for limited use of corporal punishment rather than outlaw it entirely because the ban on corporal punishment has some negative impact on teachers’ work. The researcher strongly recommend that the Ministry of Education should organize seminars, conferences, workshops, and other symposia on alternative strategies to deal with indiscipline issues in the absence of corporal punishment.
Data user interaction monitoring considerations for information security measures
Authors: Athavale Anand
Published: February 2025

Data leaks are not new to the information security industry. Awareness of malicious insiders trying to steal data has been always there. Much before ransomware, famous cases of insiders stealing the information, including from the government agencies, and then, certain outlets channelizing the leaked information have happened. Along with those, data leak prevention solutions have also been around. But ransomware driven data exfiltration and double extortions have forced organizations to rethink their approach. Besides this, organizations have been forced to validate the nature and granularity of the data loss, or theft, by regulation changes and to cross check the scope of the data loss to verify the accuracy of threat from an attack. However, the current approach to user monitoring is limited in scope while also missing the element of accountability. User data interaction monitoring considerations reach far beyond behavior analysis and response.
A novel approach for accounting of the use phase emissions for connected devices
Authors: Thanawala Zaid
Published: February 2025

Reducing the life cycle emissions of connected devices is essential for mitigating their environmental impact as their proliferation accelerates. These devices, including consumer electronics and Internet of Things (IoT) systems, contribute significantly to greenhouse gas emissions, with their use phase often dominating their overall environmental footprint due to high electricity consumption. Data centers, IoT edge devices, and semiconductor logic chips exemplify how operational energy use can surpass manufacturing emissions, highlighting the need for energy-efficient designs. Implementing eco-design principles, optimizing communication protocols, and integrating low-power components can enhance sustainability. This paper explores decarbonization strategies for the use phase of connected devices through four key principles: 1) enabling better measurement, 2) energy efficiency, 3) renewable energy matching, and 4) carbon offsets. It also examines the need to update carbon footprint methodologies to incorporate real-time energy monitoring, enhancing the accuracy of emissions reporting and facilitating targeted interventions for reducing environmental impact.
Optimizing Stabilizer Mixes for Solidification of Heavy Metal-Laden Sludge from Electroplating Industry Wastewater: A Comprehensive Study on Operational Parameters and Microstructural Analysis
Authors: Lumina Pushpa , Kulkarni Megha , Khan Mohammad Amir , Alsubih Majed , Islam Saiful , Abdulhadi Ahmed M. , Mendhe Vaishali
Published: February 2025

This study focuses on optimizing stabilizer mixes for the solidification and stabilization (S/S) of heavy metal-laden sludge from the electroplating industry, with a dual objective: meeting secure landfill disposal standards and understanding the underlying S/S mechanisms. The research investigates the impact of operational parameters such as stabilizer dosage, curing time, and material composition on solidification efficiency using samples from an electroplating effluent treatment plant. Advanced analytical techniques, including Scanning Electron Microscopy (SEM) and X-ray Diffractometry (XRD), were employed to examine the microstructural changes in the stabilized matrices. The findings highlight the effectiveness of cement-based stabilizers and waste-derived pozzolanic materials, such as waterworks sludge and electroplating slurry, in achieving high unconfined compressive strength (UCS) and immobilizing heavy metals. The study also identifies sinter as a promising binder that transforms waste into durable, structurally sound products, offering a sustainable approach to waste management.
O MUNDO CONTEMPORÂNEO E OS DESAFIOS DO ENSINO RELIGIOSO NO BRASIL
Authors: Schwab Arthur Rocha
Published: February 2025

Este artigo tem como objetivo refletir acerca dos desafios enfrentados pelo Ensino Religioso (ER), explorando as complexidades que o permeiam no contexto contemporâneo, como: diversidade religiosa, novas tecnologias e secularização. O artigo foi construído a partir de pesquisas bibliográficas e formata propostas para que a escola e os docentes possam enfrentar os desafios, destacando a necessidade de abordagens sensíveis e inclusivas que promovam o respeito e a compreensão mútua entre diversas tradições religiosas e filosofias de vida. Além disso, oferece insights não apenas para educadores, mas também para formuladores de políticas e todos os interessados no ensino religioso na sociedade contemporânea.
Portable Object Detection in Real-Time
Authors: Soppari Dr.Kavitha , Varun D , Rithvik Eedula , Anudeep Manchala
Published: February 2025

Portable Object Detection in Real-Time is a computer vision-
based project that enables the identification and classification

of objects using a laptop's built-in camera. The system
leverages deep learning techniques, specifically
convolutional neural networks (CNNs) and pre-trained
models such as YOLO (You Only Look Once) or SSD
(Single Shot MultiBox Detector), to perform efficient and
accurate object detection. The project aims to provide a
lightweight and portable solution without requiring external
hardware, making it accessible for various applications such
as security monitoring, automated inventory management,
and assistive technologies. The system processes live video
feed, detects objects in real time, and displays results
dynamically. This approach ensures high-speed performance
while maintaining accuracy, making it suitable for real-world
deployment in resource-constrained environments.
Keywords: Object Detection, Real-Time Processing,
Computer Vision, Deep Learning, Convolutional Neural
Networks (CNNs), YOLO, SSD, Machine Learning, Laptop
Camera, Portable Solution
Smart City Transportation Deep Learning Ensemble Approach for Traffic Accident Detection
Authors: Bhargavi Jangam , Ashwin Bharatha , Tagore Lavishetty , Rehan MD
Published: February 2025

This project proposes a real-time traffic accident detection
system for smart cities using a deep learning approach. The

system aims to detect accidents like rear-end collisions, T-
bone crashes, and frontal impacts by processing video

sequences from traffic surveillance cameras. This system will
utilize Convolutional Neural Networks (CNN) to analyze
RGB frames and optical flow information helping to identify
accidents more accurately. By automating the detection
process the system seeks to minimize manual intervention,
improve response times and provide real-time location visual
data to emergency services. Key challenges include data
imbalance and varying road conditions which the model will
address through the use of specialized datasets. This system
is designed to be computationally efficient and suitable for
integration into smart city infrastructure. The project requires
Python and Flask for development with future potential to
enhance traffic management and accident response in urban
environments.
Keyword: Real-Time Monitoring, Crash Detection, Deep
Learning, Convolutionary Neural Networks (CNN), Traffic
Monitoring, Emergency Response, Automated Accident
Detection, Geospatial Analysis, Accident Patterns, Traffic
Management, Video Processing, Flask Framework, Collision
Detection, Traffic Flow Analysis, Smart Transportation, AI
in Transportation, Computer Vision, Object Detection.
A Nagy Szánhedrin (II.)
Authors: Heka László
Published: February 2025

Az állam legfőbb politikai és igazságszolgáltatási szervének első neve, a Gerousia (vének tanácsa, szenátus) a perzsa időkből származik, tehát sokkal korábbi, mint a Szánhedrin elnevezés. Olyan magas rangú, tekintélyes papokból állt, akik nem rendelkeztek teljesen meghatározott tanácskozási, döntéshozatali és ítélkezési jogkörrel. Eredetileg valószínűleg nem volt rendszeresen felállított testület, hanem csak alkalmi zsinat, amelyet különleges alkalmakkor hívtak össze, hogy fontos kérdéseket vitassanak meg, vagy a vallási életre vonatkozó rendeleteket hozzanak.
A Nagy Szánhedrin mellett két másik bíróság is létezett: kis szánhedrinek (minden városban) és a legkisebb, három főből álló kollegiális testület, a bét din.
Recuperata fuit Hispania
Authors: Liktor Zoltán Attila
Published: February 2025

A (késő)középkori spanyol politikai kultúra két pillére az Ibériai-félsziget felszabadítása, a mórok kiűzése (geostratégia) és a (katolikus) vallási egység megteremtése és megőrzése (messianisztikus imperializmus) volt. A spanyol nemzeti identitás a reconquista harcaiban alakult ki, amelyben a katolikus hit, az iszlámmal szembeni küzdelemben a kötőszövetet jelentette. A reconquista során a spanyol uralkodók megértették, hogy a politikai és vallási egység elengedhetetlen a túléléshez, de még inkább a mórok elleni küzdelem sikeréhez, a reconquista beteljesüléséhez. A politikai egység elérése és megőrzése a (késő)középkorban a spanyol politikai kultúra legbelsőbb lényegévé vált, amelyet a mórokkal folytatott hosszú harcok tapasztalataiból örököltek.
A vad által okozott kárért való helytállás történeti fejlődése Magyarországon
Authors: Pap Márk
Published: February 2025

Az emberiség történetét a kezdetektől fogva végigkísérik a vadon élő állatvilággal való interakciók, amelyek egyik legjellemzőbb megnyilvánulási formája a vadon élő állatok által az emberi javakban előidézett kár. Erre a jelensége jellemzően az egyes nemzeti jogrendszerek is reagáltak, és ez alól a magyar jogrendszer sem képez kivételt, amelyben a vad által okozott kár telepítését rendező szabályozás alakulása mindig szorosan kapcsolódott a vadászati jogra vonatkozó joganyag fejlődéséhez. Jelen tanulmány arra törekszik, hogy a kezdetektől napjainkig felrajzolja a vad által okozott kárért való helytállást rendező jogi szabályozás magyarországi fejlődésének történeti ívét, amelynek során azoknak az összefüggéseknek a vizsgálatára helyezi a hangsúlyt, hogy a társadalmi és gazdasági viszonyok átalakulása miként képeződött le a vadászati jogra vonatkozó hazai szabályozásban, ez utóbbi változásai pedig milyen irányú fejlődést indukáltak a vad által okozott kárért való helytállás szabályozása terén.
COMPARATIVE PRODUCTIVITY OF CORN HYBRIDS AT DIFFERENT PLANNED LEVELS OF MINERAL NUTRITION AND THE USE OF STIMULANTING PREPORATIONS OF THE YARA VITA SYSTEM
Authors:   Samara State Agrarian University, Vasina Natalia V. , Trifonov Denis I. ,   Samara State Agrarian University, Vasin Alexey V. ,   Samara State Agrarian University, Savachaev Anton V. ,   Samara State Agrarian University
Published: February 2025

The purpose of the research is to improve the methods of cultivating corn hybrids for grain when applying fertilizers to the planned yield using stimulating preparations of the Yara Vita system. Corn responds well to fertilizers, sufficient supply of nutrients is necessary for the formation of a high yield. The effectiveness of fertilizers is strongly dependent on climatic and weather conditions during the growing season. It was decided to combine the application of mineral fertilizers, the treatment of crops with liquid mineral and stimulating preparations used as leaf fertilizers during the growing season, which will allow achieving the planned yield of the highest quality. The experience was laid accord-ing to a three-factor scheme in 4-fold repetition. The structure of the yield of various corn hybrids obtained by apply-ing fertilizers for the planned yield of 7 and 11 t/ha has been studied. The analysis of the crop structure showed the patterns of crop formation and allowed us to establish that increased doses of mineral fertilizers give a significant increase in the corn harvest. On average, the biological yield of corn was 5.86-10.94 t/ha. The maximum yield – 10.94 t/ha – forms a hybrid of Amarok against the planned background of mineral nutrition of 11 t/ha when processing crops with Yara Vita preparations. The features of growth and development of various hybrids when using the system of stimulating drugs Yara Vita are analyzed. The assessment of the fodder advantages of corn grain of the studied variants is given. It has been established that the use of mineral fertilizers and the treatment of crops with stimulating drugs allows not only to form a full-fledged harvest of corn grain, but also to increase the fodder advantages of the crop. The largest collection of dry matter, digestible protein and feed units is noted on variants with the treatment of crops with the Yara Vita preparations when applying fertilizers for the planned yield of 11 t/ha.
YIELD AND OIL CONTENT OF SUNFLOWER HYBRIDS WHEN USING FERTILIZER AND STIMULATING PRAPARATION VIGOR FLOWER
Authors:   Samara State Agrarian University, Saniev Ramis N. , Vasin Vasily G. ,   Samara State Agrarian University, Brezhnev Alexey V. ,   Samara State Agrarian University, Kim Vera E. ,   Samara State Agrarian University
Published: February 2025

The purpose of the research is to develop methods for increasing the productivity of sunflower hybrids cultivated ac-cording to the Clearfield system when applying fertilizers N10P26K26 + Nitrobor 40 kg/ha and treating crops with Vigor Flower in the conditions of the forest-steppe of the Middle Volga region. The objects of research are Diammofoska and Nitrabor fertilizers; crop treatment: control (without treatment), Vigor Flower; sunflower hybrids – 8N358KLDM,
LG 5543 KL, LG 5452 HO KL, ES Novamis SL, Si Katana KLP. The field experience was laid down in the crop rota-tion of «Plant Growing and Agriculture» Department of the Samara State Agrarian University. The soil of the experi-mental site is ordinary residual carbonate medium–humus medium-thick heavy loamy chernozem. Agrotechnics are generally accepted for the zone, the predecessor is spring wheat. Sowing was carried out with a tilled seeder SUPN-8 in a dotted manner with a seeding rate of 65 thousand germinating seeds per 1 ha, the crops were treated in phase 3 with a pair of leaves with a Captor preparation of 1.0 l / ha, the flow rate of the working fluid is 150 l / ha. Cleaning was carried out separately in the phase of full ripeness. Crop records were carried out by the method of harvesting sites with an area of 10 m2 in fourfold repetition with a complete analysis of the crop structure. The number of plants, the weight of anthodiums, the weight of seeds, the moisture content of seeds were determined. The yield was brought to a humidity of 7%. The maximum yield is achieved by crops of the hybrid 8H358KLDM, which is 25.49 c/ha, when applying fertilizers N10P26K26 + Nitrobor 40 kg/ha and treating crops with Vigor Flower. The oil content of hybrids is in the range of 49.64-49.77% with the maximum value on crops of the hybrid 8H358KLDM when applying fertilizers N10P26K26 + Nitrobor 40 kg / ha and using the preparation Vigor Flower for growing season. The best oil yields are hybrids LG 5543 KL and 8H358KLDM with an oil yield of 12.46 and 12.68 c/ha when applying fertilizers N10P26K26 + Nitrobor 40 kg/ha and treating crops with Vigor Flower.
YIELD FORMATION OF AGROPYRON-LEGUMINOUS MIXTURES WHEN USED FOR HAY
Authors:   Samara State Agrarian University, Vasin Vasily G. , Krieger Maksim S. ,   Samara State Agrarian University, Vasin Aleksei V. ,   Samara State Agrarian University
Published: February 2025

The purpose of the research is to develop methods for increasing productivity and improving the feed value of poly-species herbage based on crested wheatgrass when harvesting for hay in the conditions of the forest-steppe of the Middle Volga region. The results of studies of the feed productivity of poly-species stands of perennial grasses based on crested wheatgrass with the use of a biological growth stimulator Gumi-20M are presented. The studies
of 2019-2021 were conducted on the herbage of the fifth-seventh years of life with a haymaking assessment in the phase of earing of the crested wheatgrass and flowering of legumes. The composition of the studied grass mixtures included crested wheatgrass, bluegrass, sandy esparcet, blue-hybrid of alfalfa and lotus corniculatus. The influence of the biostimulator on such parameters as tillering, photosynthetic activity (leaf area, as well as photosynthetic poten-tial and net photosynthesis productivity were evaluated), yield, the proportion of components in the grass and feed advantages were studied (the collection of dry matter and digestible protein was taken into account, the number of feed units and exchange energy was taken into account). An increase in productivity was revealed when using a bi-ostimulator. It was found that the maximum productivity is provided by three-component herbage with sandy esparcet and blue-hybrid of alfalfa. These herbages showed the maximum collection of green mass and the best fodder prop-erties. The largest leaf area is formed in two-component herbage with crested wheatgrass when using Gumi-20M. In such mixtures, the area of legume leaves exceeds the area of cereal leaves. The photosynthetic potential similarly increases with the use of the stimulator Gumi-20M and with the addition of a legume component to the herbage. The best indicators were noted in herbage with esparcet and alfalfa. There was an increase in the proportion of legumes when using a stimulant. The smallest share of the component was shown by lotus corniculatus.
NEONATAL ULTRASOUND SCREENING OF DOG'S PREGNANCY
Authors:   Moscow State Academy of Veterinary Medicine and Biotechnology named after K. I. Scriabin, Slesarenko Natalya A. , Shumeyko Anastasia V. ,   Moscow State Academy of Veterinary Medicine and Biotechnology named after K. I. Scriabin, Kolyadina Natalya I. ,   Moscow State Academy of Veterinary Medicine and Biotechnology named after K. I. Scriabin
Published: February 2025

The purpose of the research is to identify the features of the morphogenesis of the neonatal period of the fetus of dogs. The features of the morphogenesis of the neonatal period of the fetus of dogs are presented. The research was carried out on the basis of the Department of Anatomy and Histology of Animals named after Professor A. F. Klimov of the Moscow State Academy of Veterinary Medicine and Biotechnology – MBA named after K. I. Scriabin and the «MedVet» Veterinary Center. The object of research is 57 pregnant female dogs, divided into groups taking into ac-count their breed affiliation, which were studied throughout the entire pregnancy period. Ultrasound examination throughout pregnancy was performed using the Vetus 8 device of the «Mindray» company using a microcomplex sensor with a wave range of 4.7-12.8 Hz. On the basis of ultrasound examination of the course of pregnancy in fe-male dogs, the main stages of fetal embryogenesis and organogenesis were revealed. Embryos were found on the 15th-17th day after ovulation, on the 17th-19th day the embryo acquires an elongated shape. On the 20th-22nd day, fetal membranes in the form of spherical structures were revealed around the embryo, from the 24th day the embryo takes a bipolar form, from the 42nd day signs of ossification of the skin were revealed, from the 45th day of pregnan-cy, the hairline is actively formed. The characteristic of the main stages of fetal development in normal, according to the gestation period is presented. Based on ultrasound examination, additional criteria for assessing fetal maturity were introduced: assessment of the amount of meconium in the colon, which may indicate the normal functioning of the intestine and signal the readiness of the fetus for birth; monitoring of the state of renal structures by the amount of amniotic fluid.
FEATURES OF THE GROWTH OF HALF-BLOODED YOUNG ANIMALS WITH RECIPROCAL CROSSES OF KALMYK AND MONDOLONG BREEDS CATTLE
Authors:   Samara State Agrarian University, Molostova Anastasia Y. , Karamaev Sergey V. ,   Samara State Agrarian University, Valitov Haidar Z. ,   Samara State Agrarian University, Karamaeva Anna S. ,   Samara State Agrarian University
Published: February 2025

The purpose of the research is to improve the fattening and meat qualities of Kalmyk cattle by reproductive crossing with the Mandolong breed. The objectives of the research are to study the effect of reciprocal crossing of animals of the Kalmyk and Mandolong breeds on the intensity of weight growth of crossbred young animals of the first genera-tion. The Kalmyk breed has a number of valuable economic and useful features. At the same time, the breed does not fully meet modern market requirements. Increased ability to fat deposition at an early age, low milk production of cows, a relatively short period of intensive growth and insufficient muscularity of the posterior third of the trunk reduc-es fattening and meat qualities. To improve these characteristics, in 2010 the Mandolong breed was imported from Australia, which is characterized by large size, precocity, high growth rate, excellent meat qualities. The problem with crossing breeds is that the Mandolong breed surpasses the Kalmyk breed in live weight of cows by 177 kg (37.8%), producing bulls by 250-300 kg (33.3-41.2%). Studies have shown that at birth, crossbred bulls from Mandolong cows outperformed their peers from the Kalmyk cows by 3.6 kg (10.1%), heifers, respectively, by 3.9 kg (12.9%). In the process of growing, the situation changed and at the age of 18 months, on the contrary, bulls from mothers of the Kalmyk breed outperformed their peers of group III by 25.6 kg (4.7%), heifers, respectively, by 16.1 kg (3.7%). Thus, for further breeding, it is preferable to use a variant of crossing Kalmyk cows with Mandolong bulls.
Predictive Modelling of Food Demand: Harnessing Machine Learning for Analysis and Insights
Authors: Nagesh A. Sri , Kiran T. S Ravi , Krishna G. Samrat
Published: February 2025

Accurate demand forecasting in the food industry is critical to optimizing supply chain operations, minimizing waste, and maximizing product availability. Traditional forecasting techniques are often incapable of capturing the complexities of consumer behaviour as well as external influences such as business tariffs, weather conditions or shifts in the economy. These hurdles lead to inefficiencies, excess inventory, or stockouts. This study focuses on the application of Machine Learning (ML) techniques to improve the forecasting accuracy of food demand. Using more transformational algorithms obtained at a deeper level, we hope to make predictions more accurately and control the dynamic nature of food demand in a better way. These fluctuations may make traditional methods often inaccurate, based on seasonality, promotions, or shifting consumer preferences. However, machine learning can better handle these changing variables. In this paper, we introduce a comparative study of multiple ML methods, including time series models like ARIMA and Prophet, and regression models such as decision trees and neural networks. These models are used on past sales data coupled with explanatory variables such as the weather forecast and promotional information. Through the application of machine learning, our goal is to offer more accurate, adaptable forecasting solutions, thus enabling improved inventory control, minimized waste, and a streamlined supply chain. Using this method can greatly enhance the precision of demand prediction, which ultimately can be quite useful to the running of foodindustry
Box drill training as an effective method to improve agility in futsal players
Authors: Ramadhanti Dessy , Syamsuramel Syamsuramel , Victorian Ahmad Richard
Published: February 2025

Research Problems: This research aims to determine the effect of box drill exercises on agility ability in futsal extracurricular activities at state primary school 58 Lubuk Linggau. Research Objectives: This research aims to determine the effect of box drill exercises on agility ability in futsal extracurricular activities at state primary school 58 Lubuk Linggau. Methods: The method used in this research is quasi-experiment. Using a research design, namely a one-group pretest-posttest design. The research sample was thirty students at state primary school 58 Lubuk Linggau. The research location was conducted at state primary school 58 Lubuk Linggau. Results: Data from the pretest results obtained from 20 students obtained the poor category, and the students who received the very few categories were 10 students. Data from the posttest results were obtained from 30 students in the good category. The value obtained by the Independent Sample Test count was 1.474. The research results have an effect if 1.474 0.05 then Ha is accepted. After conducting the hypothesis testing criteria using the t-test, there is tcount 5.896 and ttable 1.69, then tcount > ttable with a confidence level of 0.95 (α 0.05) with a sample size of (N 30). Conclusion: It was explained that there was a significant difference, which means (Ha) there was an influence of box drill exercises on agility ability in futsal extracurricular activities at state primary school 58 Lubuk Linggau.
An Experimental Study of the Effects of Production-oriented Approach and Task-based Language Teaching on Senior High School Students’ English Writing
Authors: Husier Qi , Baiyinna Wu
Published: February 2025

Based on theoretical foundation of Production-oriented Approach (POA) and Task-based Language Teaching (TBLT), a nine-week quasi-experimental study was conducted to explore the effects of POA and TBLT on senior high school students’ English writing. Two parallel classes of grade two in a senior high school in Hohhot, Inner Mongolia Autonomous Region were chosen as experimental classes, which were randomly assigned to either POA group or TBLT group. Combining standardized writing tests, validated questionnaires with semi-structured interviews, it aims at addressing the following two research questions: (1) What are the effects of POA and TBLT on complexity, accuracy and fluency of senior high school students’ English writing? (2) What are the effects of POA and TBLT on the senior high school students’ critical thinking skills? The research results showed that: (1) There existed significant difference of writing scores between POA group and TBLT group. Compared with TBLT, the application of POA was more contributed to improving complexity and accuracy of English writing of senior high school students. (2) There was no significant difference between two groups in the mean scores of overall critical thinking skills. But it existed significant difference in the dimension of analysis between POA group and TBLT group. Finally, according to the findings of the research, some suggestions for improving efficiency of English writing teaching are put forward for high school English teachers and the limitations of the study and suggestions for the future research are discussed.
Enhancing English Proficiency Through AI Conversations: The Impact of ChatGPT on TOEIC and Speechace Performance in a Project-Based Learning Context
Authors: Sakaue Jun , Yamanaka Tsukasa
Published: February 2025

This study examined the impact of integrating ChatGPT into a project-based English learning course on students’ English proficiency, as assessed by TOEIC Listening and Reading scores and Speechace metrics. The participants, 110 first- and second-year university students, were divided into Homework and No-Homework groups, with the former required to engage in weekly English conversations with ChatGPT. The results revealed that while the Homework group demonstrated significant improvements in several Speechace categories, particularly among second-year students, no significant correlation was found between the number of completed assignments and score improvements. Additionally, TOEIC scores indicated greater progress in Listening and Reading among the Homework group compared to the No-Homework group. Notably, the reliance on text during ChatGPT conversations possibly explained the stronger impact on Reading and Vocabulary, while Fluency and Pronunciation also improved. However, an increase in unnatural pauses highlighted the need for further refinement in task design to encourage more natural conversational dynamics. This study underscored the potential of AI tools like ChatGPT to enhance English communication skills while identifying areas for improvement in their pedagogical application.
Parentalité et édification de la paix dans Les nouveaux veufs mariés de Gabriel Tagne
Authors: TAKAO Mawaya
Published: February 2025

L’écriture de la parentalité est un ancrage sur les faits et gestes des parents dans la construction et l’édification d’une société moderne en décadence éthique et morale visant à renforcer les valeurs du vivre-ensemble, de la paix et du développement humain durable. Le cadre théorique et méthodologique s’appuie sur la sémiotique littéraire afin de faire ressortir la structure formelle et sémantique de l’oeuvre sur fond de responsabilité parentale. Les résultats de cette étude montrent que la responsabilité des parents est un fondement à l’édification de la paix et de l’harmonie sociale.
Periodontal Disease - Symptoms and Treatment
Authors:   Clinic Resident of the Department of Orthopedic Dentistry Samarkand State Medical University Samarkand, Uzbekistan, ugli Nishonov Zokhidjon Khayrulla , Bustanovna Islamova Nilufar ,   PhD, Assistant Department of Orthopedic Dentistry Samarkand State Medical University Samarkand, Uzbekistan
Published: February 2025

Periodontal disease is a systemic lesion of the parotid tissue (periodontal) of a primary dystrophic nature.
Continuity in teaching function-related concepts in general secondary schools and academic lyceums
Authors:   Mathematics teacher at secondary school No. 16, Sharof Rashidov district, Jizzakh region, Department of Preschool and School Education, Uzbekistan, Sattarovna Akhmedova Vazira
Published: February 2025

Continuity in mathematics education is crucial for ensuring smooth cognitive development and conceptual understanding among students transitioning from general secondary schools to academic lyceums. One of the key areas requiring a structured approach is the teaching of function-related concepts. This paper examines the necessity of continuity in teaching functions, explores existing gaps in the curriculum transition, and proposes pedagogical strategies to reinforce students’ comprehension. By aligning methodologies and gradually increasing the complexity of function-related concepts, educators can facilitate deeper mathematical understanding, critical thinking, and problem-solving skills. The study highlights the importance of curriculum integration, differentiated instruction, and the use of technology to enhance continuity in teaching mathematical functions.
Development of management competencies in students based on individual approach
Authors:   Tashkent state university of economy, Uzbekistan, Abrorovna Aripova Shaxlo
Published: February 2025

This study explores how an individualized approach to management education can enhance students’ leadership, strategic planning, problem-solving, resource allocation, and communication skills. Employing a mixed-methods design, the research involved 120 undergraduate students enrolled in management-related courses at a public university. Data were collected through baseline and post-intervention self-assessment questionnaires, structured interviews, and focus group discussions. During a 16-week intervention, participants engaged in tailored learning activities—such as case studies, simulations, role-plays, and reflective journals—aligned with their unique interests and competency gaps. Quantitative findings showed statistically significant improvements in key managerial skills, including an average increase of 15% in leadership and 18% in communication. Qualitative insights revealed heightened motivation, deeper engagement with course content, and greater self-confidence among students. However, the study also identified increased demands on both instructors and learners, requiring careful planning, resources, and continuous feedback. Despite these challenges, the results indicate that personalized pedagogy not only bolsters students’ management competencies but also prepares them more effectively for real-world organizational contexts. Future research should investigate the longitudinal effects of individualized learning on professional outcomes and compare its impact across diverse academic settings.
ASSESSING THE IMPACT OF INSTITUTIONAL QUALITY ON THE IMPLEMENTATION OF SUSTAINABLE DEVELOPMENT GOAL NO. 8 (COMPARATIVE ANALYSIS FOR POLAND AND UKRAINE)
Authors: Mitkov Milen , Stryzhak Olena , Sushchenko Olena , Tymoshenko Karyna
Published: February 2025

In recent years, many countries have focused on sustainable development issues in their economic policies. In turn, institutional quality is important for ensuring the sustainable development of the state. One of the key Sustainable Development Goals (SDGs) is Goal 8 - Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all (SDG8). Achieving this goal is particularly important both for Ukraine, which has faced serious demographic problems due to Russian military aggression, and for Poland, which has accepted a large number of refugees from Ukraine.The aim of the article is to determine the role of institutional quality in ensuring the implementation of SDG8 for Poland and Ukraine. To achieve this objective, the paper uses the following methods: visualisation, calculation of Spearman's rank correlation coefficients, logarithmic transformations, Augmented Dickey-Fuller test (ADF test), and Granger causality test. The study uses the World Bank's SDG 8 indicators as well as the Worldwide Governance Indicators (WGI) for Ukraine and Poland. The data cover the period from 1996 to 2020.The calculation results showed that the correlations between WGI and SDG8 indicators are country-specific. The Granger test demonstrated that causal relationships between WGI and SDG8 indicators in the first and second differences of logarithms vary for Ukraine and Poland. The identified patterns allow us to conclude that the impact of the institutional environment on economic performance has cross-country variations. In addition, the comparison of data for Ukraine and Poland shows that different institutions in the countries have dissimilar effects on employment and productivity by sector. All calculations were carried out by EViews 12 and Statistica programmes.