bluuebunny/crossref_metadata_2025 huggingface dataset:
Koncepcja człowieka w islamie a perspektywa dialogu Chrześcijańsko-Muzułmańskiego
Authors: Kaczmarek Ks. Piotr
Published: December 2024

Artykuł omawia zagadnienie dotyczące dialogu chrześcijańsko‑muzułmańskiego w jego aspekcie antropologicznym. Na początku przedstawiono teologiczne podstawy dialogu wskazane przez Sobór Watykański II i realizowane przez kolejnych papieży oraz omówiono podstawy antropologii chrześcijańskiej. Następnie zaprezentowano koncepcję człowieka w islamie. Postawiono pytanie: skąd pochodzi człowiek i kim jest według antropologii muzułmańskiej? Następnie został podjęty wątek muzułmańskiej eschatolo-gii. Zdefiniowano również status ludzkiej egzystencji i omówiono kwestię ludzkiej woli. Przedstawiono również kryteria moralności w islamie sformułowane w oparciu o szari’at – prawo muzułmańskie. Ważnym źródłem dla prezentowanych argumentów były wybrane fragmenty Koranu oraz literatura przedmiotu. Dyskusja na temat antropologii muzuł-mańskiej ma na celu wskazanie perspektywy wzajemnego dialogu między obiema reli-giami – chrześcijaństwem i islamem.
Patočka a filozofia historii Marksa
Authors: Stojka Róbert
Published: December 2024

Refleksja Patočki nad filozofią historii Marksa może być postrzegana w odniesieniu do kilku zagadnień filozoficznych. Chociaż w jego twórczości filozoficznej nie znajduj-emy obszerniejszej pracy koncentrującej się na tym właśnie temacie, Marksistowska filozofia historii jest obecna w tle wielu rozważań Patočki. Istnieje kilka zagadnień filozoficznych, w których można wykazać krytyczny stosunek Patočki do filozofii historii Marksa. Jest to przede wszystkim kwestia rozumienia zasady negatywnej, dialektyki, pracy i walki klas. Najważniejszą zasadą, na podstawie której Patočka chce odróżnić swoją koncepcję filozofii historii od Marksistowskiej, pomimo pewnych aspektów, które uważa za pozytywne i inspirujące dla swojej filozofii, jest materialistyczne rozumienie istoty ludzkiej historii przez Marksa, z którym nie może się ostatecznie utożsamić. Patočka opiera swoją koncepcję na zasadzie sokratejsko‑platońskiej troski o duszę, która jest pierwotna i niezastąpiona dla jego filozoficznego rozumienia ludzkiej historii i dla jego filozoficznej interpretacji tejże historii.
Odpowiedzialność teologa moralisty za kościół
Authors: Derdziuk OFMCap Andrzej
Published: December 2024

Niniejszy tekst dotyczy odpowiedzialności teologa moralisty za Kościół, która to odpowiedzialność realizuje się w postaci wzrastania w wierze, rozeznawaniu w jej świe-tle aktualnej sytuacji Kościoła oraz w podejmowaniu zadania interpretatora przesłania ewangelicznego w obecnych czasach. Celem tekstu jest prezentacja misji teologa mor-alisty w zakresie odpowiedzialności za Kościół. W opracowaniu zagadnienia użyto me-tody analizy i syntezy oraz wskazano na elementy porównania wypowiedzi różnych papieży na ten temat. Rezultatem artykułu jest ukazanie trzech wymiarów misji teologa moralisty, które polegają na słuchaniu i rozeznawaniu oraz dążeniu do świętości i pełnie niu funkcji hermeneutycznej. Krytyczna funkcja teologa nakłada na niego zadanie po-głębiania i rozwijania nauki Kościoła oraz jej popularyzowania we współczesnym języku zrozumiałym dla odbiorców zanurzonych we współczesnej kulturze. Teolog moralista mający poczucie odpowiedzialności za Kościół pomaga w znalezieniu odpowiedzi na pytanie, jak żyć i jak reagować na wyzwania czasów. Potrzeba zatem nawrócenia dusz-pasterskiego teologii, która nic nie tracąc ze swej pogłębionej refleksji opartej na poprawnej metodologii i solidnej wiedzy zbieranej w uważnej lekturze, będzie umiała dostrzec perspektywę eklezjalną i potrafi ożywiać wiarę Ludu Bożego. Osobista świę- tość teologa moralisty i jego zakorzenienie we wspólnocie Kościoła pozwalają mu sku-tecznie realizować odpowiedzialność za przekaz i pogłębianie wiary, która jest drogą do zbawienia.
Kościół jest ciałem. Wybrane aspekty współczesnej eklezjologii w perspektywie chrystologiczno sakramentalnej
Authors: Woźniak Ks. Robert J.
Published: December 2024

Artykuł podejmuje problem ujęcia eklezjologii w kluczu cielesności. Odkrycie wagi Ciała dla eklezjologii powiązane jest we współczesności z renesansem tej Pawłowej kategorii myślenia o Kościele. Jego kulminacją były: encyklika Piusa XII Mystici cor-poris opublikowana w 1943 roku oraz oryginalne i przełomowe studium historyczno-‑teologiczne Henryego de Lubaca Corpus mysticum z 1944. Owoce badań historycznych de Lubaca utorowały drogę do wielkich syntez dogmatyczno‑magisterialnych, które można odnaleźć w Sacrosanctum Concilium, Lumen Gentium i Ecclesia de Eucharistia. Na ile wspomniane teksty skupiają się na sakramentalnym rozumieniu Kościoła, na tyle również, oto główna teza niniejszego artykułu, wskazują na wagę idei cielesności (po-wiązaną z tajemnicą wcielenia) w budowaniu teorii eklezjologicznych. W takiej perspek-tywie, wydaje się, że naglącym zadaniem eklezjologii jest powrót do idei Kościoła jako Ciała Chrystusa. Idea ta nie została porzucona czy też zmarginalizowana, jak czasami mniema się, w tekstach ostatniego Soboru. Wręcz przeciwnie, odnowione podejście tego Soboru do eklezjologii może i powinno być intepretowane w ciągłości z eklezjologią mistycznego Ciała. Współczesne syntezy eklezjologii po linii teologii Ciała mogą zatem czerpać istotne intuicje z dziedzictwa Soborowego. Dodatkowym faktorem w ich rozwoju może stać się bujnie rozwijająca się teologia Ciała w kluczu wojtyłowsko‑fenome-nologicznym.
Immunization but not natural infection of horses results in antibody activity against the S protein of Streptococcus equi subsp equi
Authors: Cohen Noah D. , Hughes Emma V. , Bayne Charlie , Morris Ellen Ruth A. , Bray Jocelyne M. , Landrock Kerstin K. , Gonzales Danielle M. , Baker Reagan M. , Klein Rafaela L. , Liu Wen , Legere Rebecca M. , Wehmeyer S. Garrett , Bordin Angela I. , Wierzbicki Igor H. , Gonzalez David J.
Published: December 2024

OBJECTIVE

Evaluate the immunogenicity of a vaccine targeting the S protein (Ssee) of Streptococcus equi subsp equi and determine antibody activity against Ssee in horses with strangles.

METHODS

The study was designed as a prospective experiment using 20 university-owned Quarter Horses and a cross-sectional serosurvey of 78 privately owned horses with strangles. Horses were immunized IM with 0 (n = 4), 200 (n = 8), or 400 (n = 8) μg of recombinant Ssee at weeks 0, 4, and 12. Serum and nasal secretions were collected at weeks 0, 4, 6, 12, 16, and 28 and tested by ELISA for immunoglobulin (Ig)-G against Ssee; nasal secretions were also tested for anti-Ssee IgA. The function of anti-Ssee IgG in serum was tested for complement deposition onto Ssee and opsonophagocytic killing of S equi subsp equi. Serum from horses with strangles was tested by ELISA for anti-Ssee IgG activity.

RESULTS

Immunization with Ssee significantly (P < .05) increased serum and nasal IgG (but not nasal IgA) against Ssee for up to 12 weeks after the third immunization, and serum from vaccinated horses mediated significantly (P < .001) greater complement deposition onto Ssee, but not opsonophagocytic killing (P > .05), than controls. Horses with strangles did not develop high levels of serum IgG activity against Ssee.

CONCLUSIONS

Immunizing horses with Ssee resulted in increased activity of functional IgG in serum and nasal secretions, and horses with strangles had very low levels of serum IgG activity against Ssee.

CLINICAL RELEVANCE

S protein has potential as a vaccine to reduce the severity of strangles and differentiate between infected and vaccinated horses.
Precision marketing strategy for e-commerce customer segments based on SWOT matrix model
Authors: Du Xiaoyue , Zhou Jiaqi
Published: December 2024

The continuous development of e-commerce puts forward higher requirements for the marketing strategy of each enterprise. The study applies the SWOT matrix model to e-commerce precision marketing and builds a big data platform to help e-commerce marketing strategies become more precise and efficient. An example analysis of Company S is conducted to explore the problems of the company’s products in product selection, pricing, marketing channels and promotion, and a targeted optimisation plan is proposed using the SWOT method. The marketing effect of the e-commerce precision marketing optimisation plan is analysed.The original product selection idea of Company S is limited to e-commerce pop-ups.The percentage of sales of high-margin products is much higher than that of low-margin products in the total sales of 2023.The original traffic ports of Company S are only on-site advertisements and natural traffic. After the optimisation of marketing strategy, off-site traffic was added to the traffic port of Company S, and the proportion of off-site traffic in the total traffic reached 57.38%, and the off-site traffic casting of Company S produced good results.The sales of Company S in the first half of 2024 (1994544) were much higher than the sales in the first half of 2023 (1479904.84).
A study of self-reflection and intelligent adjustment mechanism in artificial intelligence-assisted vocal training
Authors: Li Yan
Published: December 2024

In the current domestic vocal music industry, there are many misunderstandings in many people’s singing, such as singing loudly, overpowering heavy skills, and non-uniformity of vocal areas. Based on the neural network structure model, this paper proposes a relevant method for extracting music features from vocal signals. After downsampling, normalization, frame splitting, and other processing, the time-frequency transformation of the audio signal is achieved, so as to improve the analysis of the information it carries. The audio segmentation algorithm DIS based on metric distance is used to segment the notes, while the spectral variance method is used to determine the turbid and non-turbid segments in the sound clips. Using the amplitude compression-based fundamental estimation filter. The fundamental frequency is extracted to complete the tracking of the dominant fundamental frequency trajectory of vocal features. On the basis of the neural network model, a sparse encoder and softmax classifier are added to build the training fundamental frequency discrimination model. In an empirical investigation of vocal training, the resonance peaks of the vocal singing clip of “Song of the Mother Deer”, the 3rd resonance peak appeared in the interval of 0s-0.52s, 3.81s-4s, 7.15s-9s, 10.85s-11s, and 14.87s-16.24s, with the change amplitude ranging from 2574Hz to 4436Hz, and there is a certain rule of change of the other resonance peaks. The performance of the students trained with the vocal training model was 78.61, and the performance of the students trained with the traditional vocal training was 75.34, and the vocal training model has a good practical effect.
Combination of GNN and MNL: a new model for dealing with multi-classification tasks
Authors: Li Qiling , Yuan Xiaohui , Xie Jiyang
Published: December 2024

In daily life, tasks such as choosing a mode of transportation in traffic, diagnosing diseases and selecting medications in healthcare, as well as recommending products in e-commerce, can all be fundamentally classified as multi-classification tasks. Currently, effective approaches to solving multi-classification tasks include the behavior modeling-based Integrated Choice and Latent Variable (ICLV) model and the machine learning-based Multinomial Logit Model (MNL). The former slightly outperforms the latter in multi-classification tasks due to its ability to identify latent variables and integrate the selection process. However, if certain shortcomings of the MNL model, such as the assumption of independence from irrelevant alternatives, linearity assumption, and lack of hierarchical structure, can be addressed, MNL could outperform the ICLV model in some datasets. Graph Neural Networks (GNNs), which treat the entire feature set as a graph and consider the relationships between features, break the linearity assumption and offer a more flexible and hierarchical structure. This indicates that GNNs are able to effectively alleviate the limitations of MNL. Therefore, we propose an innovative GNN MNL composite model: first, GNN is employed to efficiently extract features from the dataset, and then the extracted features are used as input to train the MNL model. Finally, the trained MNL is utilized to classify new samples. The model’s accuracy was enhanced by incorporating Generative Adversarial Networks (GANs) for data augmentation during the training process. Through validation on three datasets, including modeChoiceData, we demonstrated that the GNN MNL composite model indeed achieves higher accuracy, confirming its feasibility. Future research could explore the generalizability of the GNN MNL model in other classification domains.
Research on Network Attack Sample Generation and Defence Techniques Based on Generative Adversarial Networks
Authors: Shan Jizhou , Ma Hong , Li Jian
Published: December 2024

Generative Adversarial Networks, as a powerful generative model, show great potential in generating adversarial samples and defending against adversarial attacks. In this paper, using Generative Adversarial Networks (GANs) as the basic framework, we design a network attack sample generation method based on Deep Convolutional Generative Adversarial Networks (DCGANs) and an adversarial sample defence method based on multi-scale GANs, and verify the practicality of the two methods through experiments, respectively. Compared with the three adversarial sample generation methods of AE-CDA, AE-DEEP and AE-ATTACK, the DCGAN-based adversarial sample generation method in this paper can interfere with the detection function of the anomaly detection model more effectively, and has better stability and versatility, and can maintain a relatively stable attack effect on a wide range of models and datasets. On the MNIST dataset, the classification accuracy of the adversarial sample defence method proposed in this paper is only slightly lower than that of the APE-GAN defence method on the JSMA adversarial samples, with a maximum classification accuracy of 98.69%. The maximum classification accuracy reaches 98.69%, and the time consumption is 1.5 s, which is only slightly larger than that of the APE-GAN defence method of 1.2 s. Thus, the time consumption of this paper’s multi-scale GAN-based adversarial sample defense method is smaller or equal to that of other comparative defense methods when systematic errors are ignored. The purpose of this paper is to provide a technical reference on how to eliminate adversarial perturbations using generative adversarial networks.
Experimental study on the wear mechanism of cemented carbide tools under high speed cutting conditions
Authors: Huang Wenjing , Yang Jingfen
Published: December 2024

This paper takes interface friction theory and tool wear theory as the starting point and proposes an experimental study on the wear mechanism of cemented carbide tools under different cutting conditions. Titanium alloy Ti-6Al-4V material is selected as the object of study, and its corresponding tool grade YG8, in addition to setting up two groups of control tools, S30T and YW2, and at the same time to determine the experimental workpiece materials and experimental equipment. In order to more intuitively demonstrate the experimental effect of the wear mechanism under high-speed cutting conditions, a finite element simulation model is constructed, and the material constitutive equations, contact properties, and failure criteria of the model are set to investigate the wear mechanism of cemented carbide tools under high-speed cutting conditions. When the cutting speed is 200m/min, the relationship between the size of the main cutting force of the three tool materials is S30T (407N) > YW2 (348N) > YG8 (301N), and with the increasing cutting speed, the YG8 tool still maintains excellent wear performance. Under the same conditions, the cutting distance of YG8 (L=11000mm) is larger than that of YW2 (L=5700mm). The wear mechanism of cemented carbide tools under high-speed cutting conditions is demonstrated in this paper in an intuitive manner, which has a positive impact on their performance improvement.
Analysis of comprehensive treatment strategies and prognostic factors in spinal fracture combined with spinal cord injury
Authors: Wu Kailin , Jian Huan , Hou Mengfan , Song Yijie , Wu Lulu
Published: December 2024

Spinal cord injury is a kind of serious trauma, mostly caused by traffic accidents, falling from height and other causes of structural changes in the spine, resulting in damage or compression of the spinal cord, causing functional disorders of the organs innervated by the spinal cord, which seriously affects the quality of life of patients. This paper analyzes the main factors of spinal injury, emphasizes the importance of pre-hospital first aid measures, and proposes pre-hospital first aid principles and technical specifications for spinal injuries. By asking for medical history, physical examination and other measures, the damage pattern of the affected vertebrae and neurological function is comprehensively evaluated, and the spinal cord injury is evaluated by combining X-ray, CT, and MRI techniques. From the three perspectives of medication, non-surgical, and surgical procedures, a comprehensive treatment plan is proposed, and surgery is selected to be performed within 24-72 hours of the occurrence. Different treatment methods are selected based on the level of spinal injury. Considering the long-term stability of the spine, a combined anterior and posterior surgical treatment plan was used, and a clinical analysis was performed. The prognostic influencing factors were analyzed around gender and age. The surgery and post-treatment rehabilitation were evaluated, and postoperative complications were dealt with.
Innovative Research on Teaching Mode Integration of Virtual Reality Technology and Audio Signal Processing for Music Education in Colleges and Universities
Authors: Song Ximeng , Zhang Chunbo
Published: December 2024

VR is an important engine in the process of informatization road in the education industry, which has advantages that traditional technology can not reach. In this paper, we actively explore audio signal processing technology and VR technology combined with the teaching of musicology majors in a new teaching method, and apply it to the teaching practice. After pre-processing the audio signal and extracting the acoustic parameters, the LVQ neural network is used to construct a music singing evaluation model based on audio signal processing. Based on this, an innovative design for music teaching mode is proposed in combination with VR technology. Taking the music majors of a university as an example, we carry out the application of the VR music teaching model and analyze its application effect. The evaluation results of the LVQ model are very close to the expert scores, with an average difference of 0.214. This can be better used in the evaluation of student singing in music teaching. The test scores of the sample students improved by 0.768 points overall after the experiment, and all dimensions were significantly different at the 1% level, indicating that the VR music teaching mode can effectively promote the music knowledge skills and satisfaction of students in music teaching, and the reasonable use of the VR music teaching mode can effectively improve the effect of music teaching.
A Study of Students’ Learning Behaviour Patterns in a Digital English Teaching Environment
Authors: Hu Ke , Zhang Liang
Published: December 2024

In this paper, the multimodal data of students’ learning behaviours are classified into multimodal data such as sound, image and text according to the characteristics of data types presented in the digital English teaching environment. According to the data modal characteristics and factor characteristics, the multimodal behavioral data of students’ English learning is preprocessed. In view of the algorithmic advantages of the Deep Mixed Discriminant Restricted Boltzmann Machine (HDRBM) neural network, the accurate learning evaluation annotation of learning behavioural features by HDRBM is established, constituting the learning behavioural feature extraction model based on HDRBM. The optimal setting value of HDRBM algorithm performance is determined through training tests to extract students’ digital English learning behavior features. The English learning performance levels are divided, and the correlation relationship between different learning behaviors and learning performance is examined. The digital English learning behaviours include attention (23.5 points), learning motivation (15.8 points), learning attitude (36.7 points), and learning strategies (24.9 points), among which the English learning motivation scores are low. There was a significant difference in the scores between the group with learning difficulties and the intermediate, good, and excellent groups. Students’ English learning achievement can be improved by adjusting their learning behaviors.
Optimisation of Teaching Space Design and Innovation of Teaching Mode in Trouser Structure and Craftsmanship Course Empowered by Digital Intelligence
Authors: You Lingli , Dai Zhaojue
Published: December 2024

“Numerical Intelligence” teaching is an important content and means of classroom teaching reform in clothing design and craftsmanship. The first part of the study focuses on the use of digital intelligence technology in trouser design. After selecting the characteristic parameters of the trouser structure, the GA algorithm is used to improve the GRNN algorithm, the global optimization of the smooth factor is carried out, the trouser structure generating a model based on GA-GRNN is constructed, and the model is trained and tested in order to analyze its performance. With this background, we explore the combination of numerical intelligence technology and clothing craft course, innovatively propose the teaching mode of numerical intelligence craft course, and design teaching experiments to explore the practical effect of this teaching mode. The GA-optimized GRNN model improves the number of iterations and the adaptability by 63.23% and 0.0131, respectively, and the error between the model test generation results and the actual values is below 0.4, which has a better trouser suit parameter size generation effect. After applying the teaching mode of the digital intellectualization process course, the student’s overall evaluation of the mode is better, and the number of students with good and excellent academic performance has increased by 64.29%. The teaching mode of the digital-intelligent process course can promote students’ learning efficiency and improve the quality of teaching in the process course.
Research on the Realisation Path of Virtual Music Space Construction and Immersive Experience for Small Chamber Orchestra in the Digital Era
Authors: Zhou Wanlu
Published: December 2024

Music spatialisation is one of the means to enrich the performance effect, and the use of digital technology to construct a virtual music space greatly improves the accessibility and availability of the orchestra’s performance. This paper explores the path of virtual music space construction and enhances experience, and proposes a sound field replay technique. A ball microphone array is used to measure the raw ATF, and a sparse decomposition algorithm is used to reduce the number of measurement microphones. The target sound field can be reproduced accurately by solving the loudspeaker excitation signal. Experimental analysis reveals that in the [250,550] Hz interval, the method in this paper has obvious advantages compared with the traditional method, and the mean scores of listeners’ subjective evaluations of physiological immersion, psychological immersion, and emotional immersion are all greater than 4, which indicates that the constructed virtual music space has a better immersive experience, which is conducive to achieving a better performance of small chamber orchestra.
A Study on the Communication Effect of Chinese Traditional Sports Culture on a Global Scale Based on High-Dimensional Data Processing
Authors: Zhu Lei , Fang Jie
Published: December 2024

Against the background of advancing globalisation and rapid development of information technology, international dissemination of Chinese traditional sports culture has become an important way to charm Chinese culture and promote cultural exchanges and mutual understanding. This paper analyzes the technology of international dissemination of traditional sports culture and independently builds a digital, traditional sports museum with a set of cultural data visual platforms. By selecting high-dimensional data features from traditional sports culture, batch gradient descent processing is carried out on cultural data. Based on the logistic regression model of high-dimensional data processing, regression analysis is conducted on the effect of sports culture dissemination. The cultural data visualisation platform designed in this paper can help foreign users understand the origin and development of Chinese traditional sports culture. Through the digital museum, foreign users’ awareness of wushu, taijiquan, qigong, Chinese wrestling, Chinese chess and go, archery, dragon boat, dragon and lion dance, cuju, and acrobatics exceeded 4.0 points. There is a significant difference between the overall impact of digital museums and the occupation of foreign users (P < 0.05). Traditional sports culture dissemination subject, dissemination method, dissemination content and dissemination object can promote the dissemination of culture on a global scale, in which the impact coefficients of the digital museum constructed in this paper, as well as the cultural information visualisation platform, are as high as 0.324 and 0.417, respectively. To sum up, the dissemination of Chinese traditional sports culture on a global scale is strengthened by high-dimensional data processing technology.
Construction and Optimisation of an Intelligent Virtual Teacher System for English Language Education
Authors: Wang Haijuan
Published: December 2024

In this paper, a dialogue teaching system based on the virtual teacher is designed mainly by artificial intelligence and 3D modelling technology, and the design of overall architecture of the system is described in detail, including the design of the functional structure of the system and the design of the software architecture. The emotion calculation technology is applied to the teaching system, and the Bayesian optimization method is used to optimize the emotion calculation. By evaluating and analysing the results of the pilot experiment, the results show that the average speech recognition time of the system is 1.58977, and the average response time is 0.83076, calculated from ten sets of test data. After optimization, the system’s accuracy in recognizing emotions has increased to 90%. The virtual teacher’s dialogue teaching system can be adapted to the teaching needs of multiple learning types and can significantly improve students’ motivation, learning experience, and learning effectiveness.
A Network Analysis Model of Interactive Strategies for Teaching Civics in Colleges and Universities in a Virtual Reality Environment
Authors: Huang Li
Published: December 2024

Taking the ideological and political education course of contemporary colleges and universities as the main research subject, we consider VR technology, a brand new media technology, in improving the interactivity of the traditional Civics and Political Science classroom embedded possibilities as the research direction. A multi-channel virtual reality environment for human-computer interaction is built, and a VR-based interactive teaching system for Civic and Political courses is developed by introducing the B/S 3-tier architecture model. Subsequently, 40 teachers and students applying the VR Civic and Political Science course teaching system were selected to study the teaching interaction behaviours using the social network analysis model, and the student-student interaction behaviours were mined using the cohesive subgroup analysis method. The results show that students prefer watching micro-videos for knowledge learning, the overall online interaction and communication are more active, teachers and teaching assistants have high centrality (both greater than 20), and their timely feedback plays an important role in the motivation of student interaction. In addition, there are more factions composed of different learners, members in the factions interact closely, and there are some members with high faction overlap, which promotes communication and cooperation among subgroups and is the core of the whole network. The study aims to promote the occurrence and development of interactive behaviors within the online learning community, enhance the flow of information, and create a better learning environment for civics.
Optimisation of key algorithms for vision-based SLAM in highly dynamic environments
Authors: Wang Shiqi , Song Shuzhong
Published: December 2024

Highly dynamic environments can cause large deviations in visual SLAM when solving the camera position between two frames, which in turn affects the overall positioning accuracy of the system. For this reason, this paper optimizes the traditional vision SLAM algorithm by focusing on the tracking part of the SLAM algorithm. In the highly dynamic acquired environment, features are extracted through a target detection network that utilizes the multi-scale channel attention module (MS-CAB) and attention feature fusion module (AFFB). The GC-RANSAC algorithm is used to distinguish and remove dynamic feature points, and then the static feature points are utilized for position estimation. Experiments show that this paper’s algorithm has less trajectory error in high dynamic environments, improves the accuracy by more than 94% compared to ORB-SLAM2 in dynamic Walking scenarios, and improves the localisation accuracy of this paper’s algorithm by 90.0%, 86.7%, 98.8%, and 97.5% compared to ORB-SLAM3, with the time spent being only 30.08% of that of DS-SLAM. The experimental findings validate the effectiveness of this paper’s work.
A Study of Machine Vision-Assisted Methods for Cultivating Intercultural Communication Skills in Higher Vocational English Education
Authors: Jiang Shuangshuang
Published: December 2024

Multicultural intermingling has become a major development trend in international society, and in this context, higher vocational English education takes the cultivation of students’ cross-cultural communicative competence as an important educational goal. In this paper, we use the YOFD network in machine vision technology to detect students’ faces in the English teaching classroom and solve the head pose rotation matrix by combining it with the solvePnP function in the OpenCV software library. Combining the results of students’ face and head posture detection, we detect changes in their concentration through their fatigue state and score their classroom concentration. The intercultural communication model proposes a 3-level multi-component competence structure, while the symbiotic texture of human-computer collaborative teaching constructs a human-computer symbiotic English teaching model for intercultural communication. The video data of students’ English classroom behaviors were obtained through a high-speed camera, and a human-computer symbiotic English teaching comparison experiment was designed. The ACC value of the YOFD model for students’ face detection was 95.36%, and the average values of yaw, pitch, and rotation angle errors for head posture detection ranged from 1.98° to 3.27°. The experimental group’s students outperformed the control group in English reading by 9.95 points, and their intercultural communication competence improved across all dimensions by 1.065 to 1.434 points. Relying on machine vision technology to assist English teachers in grasping students’ concentration in the classroom, combined with the human-computer symbiosis English teaching model, can enhance students’ intercultural communicative competence.
Elementary Number Theory Problems. Part XV – Diophantine Equations
Authors: Pąk Karol , Korniłowicz Artur
Published: December 2024

This paper formalizes problems 38, 58, 160, 164, 168, 171, 188, 195, 196, and 198 from “250 Problems in Elementary Number Theory” by Wacław Sierpiński.
SUR L’IMPORTANCE DE CRÉER LES CONDITIONS D’UN CONTACT OFFICIEL ET SYSTÉMATIQUE ENTRE LES ÉTUDIANTS INSCRITS AUX PROGRAMMES DE « LANGUES MODERNES APPLIQUÉES » ET « ANNÉE PRÉPARATOIRE DE LANGUE ROUMAINE »
Authors: ȘERBAN Mihai
Published: December 2024

The present article is a plea for the creation of contexts of direct interaction between students belonging to two foreign language programs conducted in parallel, in the Bucharest University of Economic Studies: the Romanian Language Preparatory Year for Foreign Students (Anul Pregătitor de Limba Română, i.e. APLR) and the Applied Modern Languages program (Limbi Moderne Aplicate, i.e. LMA). My goal is to argue in favor of the need to add to the usual activities of explaining and practicing foreign languages, to the grammar and communication classes, practical activities, typical for what in specialized language is called “la perspective actionnelle”, which gives students the opportunity for a natural, spontaneous communication. Once this type of communication is started, through a common institutional project, it will certainly continue, to the obvious benefit of both categories of students: foreigners and Romanians.
« AOLEU » – L’INTERJECTION IDENTITAIRE - CULTURELLE ROUMAINE PAR EXCELLENCE ?
Authors: BÂRLEA Roxana-Magdalena
Published: December 2024

The interjection “aoleu” is a very interesting case in Romanian and seems to be “prototypical” for this language. In this article we attempt to provide arguments to support this hypothesis. We start with its etymology then we analyse its derivatives, its many lexicophonetic, diachronic and diatopic variants, and its diastratic and pragmatico-stylistic values. We then carry out a submorphological analysis. We focus on its semantic-functional aspects. In the last section, we review a few occurrences of “aoleu” in (web) comics and other recent icono-textual documents, for which we provide French and English translations.
TRADE AGREEMENTS AND COMMERCIAL RELATIONS BETWEEN IRELAND AND ROMANIA
Authors: STANCA Nicoleta
Published: December 2024

The documents that I have included in this article dedicated to the trade agreements and commercial relations between Ireland and Romania in the decades of the 20th century were traced in the National Archives of Ireland in June 2022, when I had the opportunity to collaborate with the team of the Embassy of Romania in Ireland and do research on the bilateral relations between the two countries. One of the earliest trade exchanges (1931) however was found in the library of University College Dublin and I have also made use of other Romanian sources to offer a more comprehensive picture of the difficulties often preventing the two countries from developing more substantial commercial and diplomatic links in the respective period.
The Influence of the Code of Ethics and Corporate Social Responsibility on Consumer Buying Behaviour
Authors: Caldeira Rui Nóbrega , Moro Alfonso Infante
Published: December 2024

Objective: To analyze the impact of Corporate Social Responsibility (CSR) on organizational reputation and assess how codes of ethics influence consumer behavior.
 
Theoretical Framework: This study examines CSR principles, focusing on aspects like ethical labor practices, community development, and environmental sustainability. It includes an exploration of "Greenwashing," a practice where companies promote sustainable values without significant eco-efficient actions.
 
Method: A survey was conducted with 230 Portuguese consumers to evaluate their awareness and perceptions of CSR and ethical practices in organizations.
 
Results and discussion: Findings indicate that CSR and ethical behavior are important to consumers when making purchase decisions. While many participants value CSR, there is limited awareness about Greenwashing among Portuguese consumers, highlighting a need for better consumer education on corporate environmental claims.
 
Research Implications: This study underscores the importance of transparency and genuine CSR efforts in shaping consumer trust and brand reputation, and highlights the influence of CSR on consumer purchasing behavior.
 
Originality/value: This research provides insights into Portuguese consumer perspectives on CSR and ethical codes, contributing to understanding the importance of CSR in corporate reputation management. It also offers new data on Greenwashing awareness among consumers.
PREMATURE PLACENTAL ABRUPTION: EPIDEMIOLOGY, RISK FACTORS, AND MEDICAL AND SOCIOECONOMIC ASPECTS
Authors:   Department of Obstetrics and Gynecology № 1, Avicenna Tajik State Medical University, Dushanbe, Republic of Tajikistan, Dodkhoeva Munavvara , Salimova Zumrat ,   Department of Obstetrics and Gynecology № 1, Avicenna Tajik State Medical University, Dushanbe, Republic of Tajikistan
Published: December 2024

Objective: To study epidemiology, risk factors, and medical and socioeconomic aspects of premature placental abruption (PPA) of a normally located
placenta in the settings of a level III maternity care hospital.
Methods: An analysis was conducted on 183 antenatal and delivery records of the women admitted to Maternity Hospital № 1 in Dushanbe, Republic
of Tajikistan (RT), between 2019 and 2023. Among the women diagnosed with PPA, there were 19 cases of complete PPA and 164 cases of partial PPA.
Results: The study has highlighted a growing trend in the incidence of PPA among pregnant women. However, there has been a notable decrease
in severe cases due to improved prenatal care and the implementation of new National Standards on Managing Complications in Pregnancy and
Childbirth and on Bleeding, Eclampsia, 2010-2014 and evidence-based strategies as a result of United Nations Population Fund (UNFPA) interventions.
Nevertheless, the study revealed a high prevalence of previous complicated pregnancies, as well as past and current comorbidities such as anemia,
kidney disease, hyperemesis gravidarum, and hypertensive disorders.
Conclusion: To minimize the occurrence of PPA and its effects, it is crucial to actively prevent, promptly diagnose, and effectively treat PPA risk factors.
Keywords: Pregnancy, premature detachment of a normally located placenta, bleeding, risk factors, preeclampsia.
A NEW METHOD OF ASSESSING OCULAR INFLAMMATION IN THE ANTERIOR SEGMENT USING SOFTWARE
Authors:   LLC «Jarrohii chashm Nigoh», Dushanbe, Republic of Tajikistan, Mirakhmedova Parvina , Ostanaeva Parvin ,   LLC «Jarrohii chashm Nigoh», Dushanbe, Republic of Tajikistan, Yuldasheva Sayyora ,   LLC «Jarrohii chashm Nigoh», Dushanbe, Republic of Tajikistan, Dzhabarov Anvar ,   Freelancer, Dushanbe, Republic of Tajikistan
Published: December 2024

Objective: To create a Telegram bot as a new tool for assessing anterior uveitis.
Methods: A total of 132 images, including radial and linear sections in the AC-OCT mode, were captured for a study using the SOCT Copernicus REVO
60 tomography device (Optopol Technology SA, Zawiercie, Poland). The study involved eight patients with uveitis of varying degrees of inflammatory
severity, classified according to the Standardization of Uveitis Nomenclature (SUN) criteria. These examinations were conducted at the Nigoh Eye
Surgery Clinic in Dushanbe, Republic of Tajikistan, from March to May 2024. For the study, an independent observer selected 27 high-quality images
with a resolution of 1566×956, which were saved in an identical format, with the same contrast and negligible variations in the level of brightness (from
-10 to 4), on which inflammatory cells were distinguishable, he also counted the cells in the application. Twenty-seven results of cell counting by the
standard method served as a control. The ROC curve was constructed as a statistical processing method; sensitivity, specificity, accuracy, completeness,
and F1-measure were calculated. The images were subjected to an assessment of the activity of the inflammatory process in anterior uveitis in a
specially developed Telegram bot to detect and count the number of inflammatory cells.
Results: The method correctly identified cases as negative or "healthy" in 96.5%. The positive predictive value (PPV), or precision, was 0.964. This
means the method was correct among all the cases predicted as positive – i.e., "sick" – in 96.4% of cases. The recall was 0.926, i.e., of all true positives
(TP), the method was correct in 92.6% of cases. The F1-score, the harmonic mean of precision and recall, was 0.945, indicating a good balance between
these two parameters.
Conclusion: The Telegram bot provides an impressively accurate and intuitive platform for evaluating the activity of the inflammatory process in
anterior uveitis. Designed as a complimentary tool, it aims to reach a wide range of medical professionals, allowing easy access without requiring
specialized training, advanced medical skills, or complex equipment. Users only need a device compatible with Telegram and a reliable internet
connection to get started. This straightforward approach enhances the tool's usability and transforms it into an essential resource for healthcare
providers aspiring to improve their diagnostic capabilities.
Keywords: Specialized software, Telegram bot, uveitis, optical coherence tomography, inflammation in the anterior chamber.
RETROSPECTIVE ANALYSIS OF THE SURGICAL TREATMENT OUTCOMES FOR DIFFUSE PERITONITIS
Authors:   Irkutsk Scientific Centre of Surgery and Traumatology, Irkutsk, Russian Federation, Chepurnykh Elena ,   Department of Intermediate-Level Surgery, Irkutsk State Medical University, Irkutsk, Russian Federation, Ayushinova Natalia ,   Irkutsk Scientific Centre of Surgery and Traumatology, Irkutsk, Russian Federation,   Department of Advanced-Level Surgery, Irkutsk State Medical University, Irkutsk, Russian Federation, Grigoriev Evgeniy ,   Irkutsk Scientific Centre of Surgery and Traumatology, Irkutsk, Russian Federation,   Department of Advanced-Level Surgery, Irkutsk State Medical University, Irkutsk, Russian Federation, Shurygina Irina ,   Irkutsk Scientific Centre of Surgery and Traumatology, Irkutsk, Russian Federation
Published: December 2024

The challenge of treating patients with secondary suppurative generalized peritonitis (GP) remains significant due to the consistently high mortality
rate.
Objective: To analyze surgical treatment outcomes for patients with GP and to identify unfavorable outcome predictors.
Methods: A retrospective study was conducted on 31 medical records of inpatients diagnosed with secondary GP of variable etiology and treated
at the Irkutsk Regional Clinical Hospital, Russia. The severity of the patients' conditions was assessed using the Acute Physiology, Chronic Health
Evaluation (APACHE) II and the Sequential Organ Failure Assessment (SOFA) scoring systems. Additionally, the severity of peritonitis was evaluated
using the Mannheim Peritonitis Index (MPI). Simultaneously, the severity of enteral insufficiency syndrome (EIS) was assessed using the scale
proposed Yu.M. Gain et al.
Results: The most common causes of peritonitis were perforated gastric and duodenal ulcers and adhesive intestinal obstruction observed in
22.6% and 19.4% of cases, respectively. The average number of relaparotomies performed was 4.5 [3; 7]. The postoperative mortality rate was
29%. Patients had an average length of hospital stay of 41.5 days [24; 76]. The average APACHE II and SOFA scores were 19 [14; 22] and 3.5 [2; 8],
respectively. The severity of EIS in patients during their first operation was scored at 3.7 [3.05; 4.6]. The number of staged relaparotomies with
peritoneal lavage was found to be dependent on the severity of EIS (r�=0.58), which directly impacted the outcome of the GP (r�=0.61). It was
established that significant factors in predicting surgical treatment outcomes include the hospital patient's health status, as assessed by the APACHE
and SOFA scores, and the severity of peritonitis evaluated according to the MPI. Conclusion: When predicting the outcome of surgical treatment for GP, it is essential to consider the severity of the patient's condition, the extent
of the involvement, and the severity of EIS. By evaluating these factors in a coordinated manner, we can optimize surgical strategies and enhance
treatment outcomes for this group of patients.
Keywords: Secondary generalized peritonitis, relaparotomy, enteral insufficiency syndrome, severity of the condition, Mannheim peritonitis index.
CASE REPORT: FAMILIAL WISKOTT-ALDRICH SYNDROME
Authors:   Ryazan State Medical University named after Academician I.P. Pavlov, Ryazan, Russian Federation, Belykh Natalia , Glotova Inna ,   Ryazan State Medical University named after Academician I.P. Pavlov, Ryazan, Russian Federation, Deeva Yuliya ,   Ryazan State Medical University named after Academician I.P. Pavlov, Ryazan, Russian Federation, Piznyur Inna ,   Ryazan State Medical University named after Academician I.P. Pavlov, Ryazan, Russian Federation
Published: December 2024

Wiskott-Aldrich syndrome (WAS) is a rare X-linked recessive disorder characterized by a triad of symptoms: immunodeficiency, thrombocytopenia,
and eczema. It arises from a mutation in the gene encoding the WAS protein (WASp). The disease can present with varying degrees of severity,
ranging from classic WAS, which features a severe phenotype, to milder forms, such as X-linked thrombocytopenia and X-linked neutropenia. WAS
primarily affects boys, although it can occur in isolated cases in girls, and it does not show any significant ethnic or geographic predisposition. This
article discusses a clinical case of WAS identified in two siblings from the same family. In this study, we analyzed primary medical documentation and
conducted a literature review. The syndrome is relevant for healthcare providers across various specialties, as it requires a comprehensive approach
to diagnosis and ongoing monitoring. Medical genetic diagnostics play a crucial role in the diagnosis, while treatment may involve hematopoietic stem
cell transplantation from a compatible donor. Additionally, this condition can be detected prenatally through appropriate medical consultation for the
family.
Keywords: Children, immunodeficiency, Wiskott-Aldrich syndrome, thrombocytopenia, hematopoietic stem cell transplantation, clinical case.
EXAMINING THE EU POLICIES AND CORPORATE RELATIONS THROUGH A CYBERSECURITY LENS
Authors: SARCEA (MANEA) Oana-Alexandra , Costea Ana , ZBUCHEA Alexandra
Published: December 2024

The present paper integrates a broad analysis of European Union policies and their synergy with private corporations through a cybersecurity filter. As the digital landscape evolved, the EU has implemented a series of regulations and directives aimed at sustaining cybersecurity across member states. Various EU regulations establish strict requirements for cyber resilience and data protection. The analysis explores how these policies affect private corporations, emphasizing the impact on operational practices and compliance challenges. The paper examines the joint frameworks established between the EU and private sector entities, such as information-sharing initiatives and public-private partnerships. A bibliometric analysis was conducted to highlight the connections between the key terms used in the study. This analysis allows understanding of the interferences between the cybersecurity-related EU framework and private companies operating in the EU.