bluuebunny/crossref_metadata_2025 huggingface dataset:
TECHNOLOGICAL ASPECTS OF STATE IMAGE FORMATION
Authors:   State University of Information and Communication Technologies, Kyiv, Dubovyk N. A.
Published: December 2023

The article is dedicated to the search for optimal ways of shaping the image of the state, considering modern technologies for shaping the image of the Ukrainian state, as well as the role of information and communication technologies in creating an attractive image of Ukraine. The primary focus is on the analysis of the classification of state image technologies. According to the general classification, an attempt is made to identify the strengths and weaknesses in shaping the state's image. Image technologies are examined, including the recognition that objectivity in analyzing the state's image is determined by the objectivity of information, the nature of its informational component, the correspondence or non-correspondence of available information to the current state, orientation of the informational component towards rationality (reason) or irrationality (emotion), and the volume and importance of the information. The article explores the challenges of creating a positive image of the state, particularly on the international stage, based on preserving cultural identity and identity. It identifies trends in Ukraine's further international image integration in the context of shaping a new world order, relying on and considering the impact of information technologies on shaping the state's image. Additionally, special attention is given to communication tools that play a significant role in shaping public opinion, the emergence of myths, stereotypes, fakes, propaganda, and more. With a vast arsenal of techniques for highlighting events against a specific background, or conversely, suppressing them, focusing the attention of the global community on specific facts, internet media shape the information space. For the further development of Ukraine's image, it is essential to use cutting-edge imagebuilding technologies. The requirements for comprehensive inter-industry work on the proper image of our country become relevant. Ignoring these requirements can lead not only to a damaged image but also to national instability and the undermining of international subjectivity. Therefore, to improve Ukraine's image, a range of modern information technologies is being introduced. Strengthening Ukraine's informational presence in the international media space through extensive involvement of Ukrainian diplomatic institutions in active cooperation with local media and the organization of informational events has become favorable. Creating a positive international image of Ukraine is a necessary condition for ensuring the protection of its national interests, adhering to the strategic course towards European integration, successful competitive struggles in the international market, and investment; popularizing cultural values in the global community.
SOCIAL WELFARE AND PSYCHOLOGICAL REHABILITATION OF LAW ENFORCEMENT BODIES AS A RESULT OF POST-TRAUMATIC STRESS HEALTH DISORDERS IN THE CONDITIONS OF A STATE OF WAR: THE SPECIFICITY OF THE APPLICATION OF ARTIFICIAL INTELLIGENCE
Authors:   State University of Information and Communication Technologies, Kyiv, Antypenko I.
Published: December 2023

The article examines that with the beginning of the large-scale military invasion of the Russian Federation on the territory of Ukraine on February 24, 2022, the legislative basis underwent certain changes. Thus, the Law of Ukraine No. 2102-IX of February 24, 2022 approved the Decree of the President of Ukraine «On the introduction of martial law in Ukraine». In accordance with the said Decree, the Cabinet of Ministers of Ukraine introduced and ensured the measures of the legal regime of martial law in Ukraine. It was determined that the current legislation defines that military personnel of the Armed Forces of Ukraine, the National Guard of Ukraine, the Security Service of Ukraine, the Foreign Intelligence Service of Ukraine, the State Border Guard Service of Ukraine, members of the rank-and-file, senior staff and military personnel of the Ministry of Internal Affairs of Ukraine, others formed in accordance with the laws are classified as participants in hostilities of Ukraineʼs military formations that protect the independence, sovereignty and territorial integrity of Ukraine. The stress and danger that law enforcement officers constantly face can take a toll on both physical and mental health. Post-traumatic stress disorder has every chance of entering the list of occupational diseases of law enforcement officers.
EXISTENTIAL REFLECTIONS OF THE PERSPECTIVE OF IMMORTALITY IN THE HUMANITARIAN TRADITION
Authors:   State University of Trade and Economics, Kyiv, Dobrodum O.
Published: December 2023

The scientific problem of death and immortality is traditionally in the center of attention of researchers and is infinitely important, which is updated again and again in the works of futurologists. Transhumanism is sometimes even called the «religion of the XXI century» – biohacking, genetic experiments and even digital immortality are in progress. The purpose of the article: to explore the philosophical aspect of achieving immortality. Among the research methods: problem-chronological and interdisciplinary synthesis, content analysis and the method of included observation, historical-comparative and virtual anthropology. According to modern ideas, a person is what he is, and with the help of modern biomedical, information and communication technologies, he can continue his existence virtually indefinitely. Transplantation and cloning, bioingeneria and ciborgization, prosthetics and the transfer of brain functions to electronic means open the prospects of practical immortality.
An Experience of Supine PCNL in Tertiary Care Hospital in Gujranwala, Pakistan
Authors: Hussain Khalid , Tariq Maria , Tariq Ali Umair , Ahmed Bilal , Akhtar Bilal , Ahmed Jawad
Published: December 2023

A prospective analytical study was conducted at the Urology Department of Gujranwala Teaching Hospital from January 2022 to April 2023. The aim was to experience the safety & efficacy of supine PCNL performed at tertiary care hospital at Gujranwala which is being performed in few centers in Pakistan. A total of 98 patients undergoing percutaneous nephrolithotomy (PCNL) were included in the study. The majority of patients presented with flank pain. Complete stone clearance was achieved in 67 cases, and 31 patients became stone-free after extracorporeal shock wave lithotripsy (ESWL). Post-operative complications were minimal, with only two cases of sepsis and 10 cases of post-operative fever. No mortality was reported during the study. Percutaneous nephrolithotomy was found to be the preferred treatment option for renal stones larger than 20mm, offering a high stone-free rate and low complication rates. Further advancements in treatment modalities may help reduce complications and improve outcomes.
Analysing the significant factors for land use impact assessment in building construction projects in Sri Lanka: whole life cycle analysis approach
Authors:   Department of Building Economics, University of Moratuwa, Sri Lanka, Jayasundara S.W. , Mallawaarachchi H. ,   Department of Facilities Management, University of Moratuwa, Moratuwa, Sri Lanka, Damsari A.G.U. , Gunathilake P.K.S.V.S.
Published: December 2023

This research paper focuses on analysing the significant factors for land use impact assessment in building construction projects in Sri Lanka using a whole life cycle analysis approach. The study recognizes the importance of land use in achieving sustainability and highlights the potential environmental consequences of land use changes and occupation. Through a questionnaire survey and the application of the Relative Importance Index (RII) method, the study identifies and ranks the key factors for land use impact assessment. The findings reveal that factors such as site selection, erosion and sedimentation control, site assessment and development, and on-site renewable energy play a crucial role in assessing the land use impact of building construction projects. A comprehensive assessment framework is proposed, which allocates credits to these factors based on their significance. The developed framework provides a practical tool for evaluating and promoting sustainable land use practices in the construction industry. The research underscores the need for considering land use impacts throughout the entire life cycle of buildings and emphasizes the importance of integrating sustainable practices into construction processes. By adopting the identified factors and assessment framework, construction projects in Sri Lanka can enhance their sustainability performance and minimize their land use impacts, leading to a more environmentally responsible built environment.
A new multidimensional model II regression based on bisector approach
Authors: GAZELOĞLU Cengiz , ZEYTİNOĞLU Asuman , YILMAZ Nurullah
Published: December 2023

A new multidimensional Model II regression based on bisector point of view (BRM-II) is introduced for multivariate problems that may contain measurement error. The suggested method is constructed depending on using the bisector of the minor angle between two hyperplanes identified by linear regression. The performance of the proposed method are examined by simulations up to ten variables for different sample sizes and distribution types in terms of the Mean Square Error. Moreover, the BRM-II is applied to two real problems with two and three variables, and compared with the existing methods. The results indicate that the BRM-II is easy applicable and offers relatively better accuracy. The relevant method can be easily coded in any programming language provides convenience in its application. Thus, the proposed method provide powerful tool for prediction of relevant real life problems.
MENINGKATKAN AKTIVITAS DAN KETERAMPILAN BERPIKIR KRITIS MENGGUNAKAN MODEL PANTING PADA SISWA KELAS V
Authors: Arif Rahman  , Aslamiah
Published: December 2023

Abstract: This study addresses the issues of low activity, critical thinking skills, and learning outcomes in science class. The objective is to describe the analysis of teacher and student activities and to analyze the improvement of critical thinking skills and learning outcomes. The research uses Classroom Action Research (CAR) conducted over four meetings in a fifth-grade class consisting of 18 students, 8 male and 10 female, at SDN Danda Jaya 3. Qualitative data was obtained through observation of teacher and student activities, as well as student critical thinking skills. The results indicate that the teacher's activities in meetings 1 to 4 were well-implemented. Student activities improved from 44% to 94% throughout meetings 1 to 4, almost entirely meeting the criteria for being active. Student critical thinking skills also improved from 39% to 94% over meetings 1 to 4, meeting almost all criteria for being skilled. The level of student learning outcomes increased from 44% to 100%. Based on the findings, the PANTING teaching model can improve student activity and critical thinking skills.

Abstrak: Penelitian ini membahas masalah rendahnya aktivitas, kemampuan berpikir kritis, dan hasil belajar di kelas pada muatan IPA. Tujuannya adalah untuk mendeskripsikan analisis aktivitas guru dan siswa serta menganalisis peningkatan kemampuan berpikir kritis dan hasil belajar. Penelitian ini menggunakan Penelitian Tindakan Kelas (PTK) yang dilakukan selama empat pertemuan di kelas V yang terdiri dari 18 siswa, 8 laki-laki dan 10 perempuan, di SDN Danda Jaya 3. Data kualitatif diperoleh melalui observasi aktivitas guru dan siswa, serta kemampuan berpikir kritis siswa. Hasil penelitian menunjukkan bahwa kegiatan guru dalam pertemuan 1 sampai 4 dilaksanakan dengan baik. Aktivitas siswa meningkat dari 44% menjadi 94% selama pertemuan 1 hingga 4, hampir seluruhnya aktif. Keterampilan berpikir kritis siswa juga meningkat dari 39% menjadi 94% selama pertemuan 1 hingga 4, memenuhi hampir seluruhnya terampil. Hasil belajar siswa meningkat dari 44% menjadi 100%. Berdasarkan temuan, model pengajaran PANTING dapat meningkatkan aktivitas siswa dan kemampuan berpikir kritis.
The Effect of Dual Diode Laser: (810,980) nm in Acceleration of Orthodontic Tooth Movement:A Case Report
Authors: Aya A. Assi*  , Rawaa A. Faris  , Balsam Saadi Abdulhameed  , Sarmad S. Almalki
Published: December 2023

Patients are very concerned about the lengthy nature of orthodontic treatment. It is necessary to find a non-invasive way to quicken physiologic tooth movement. This study's objective was to assess the effectiveness of low-intensity laser therapy in shortening the time and discomfort of orthodontic treatment. Experimental work: Using a split-mouth study to compare tooth movement with conventional treatment and laser-accelerated orthodontic tooth movement. A patient presenting with a class II division I malocclusion characterized by the misalignment of the upper and lower teeth as classified by Angle’s molar classification system was indicated to undergo fixed orthodontic appliance orthodontic treatment. The treatment plan involved bilateral extraction of the upper first premolar teeth on both sides and distalization of the anterior segment to close the created space. For an experimental investigation, a patient was chosen at random and given right-side radiation using a dual diode laser (810,980 nm wavelength, 100 mW output power). Results: The tooth movement was measured over a period of 15 weeks; the first three orthodontic activations on the study side included scheduled laser treatment (the first month, laser-assisted treatment on days (0,3,7, and 14), the following two months, on days (0 and 14) from the day of orthodontic activation, and another 3 months of follow-up only); it was observed that orthodontic tooth movement was significantly higher in the study side than in the control side, as measured clinically using a digital vernier. We also noticed a considerable decrease in pain levels following a visual analog test. Conclusion: LLLT might clinically considerably speed orthodontic tooth movement and greatly lessen discomfort using the parameter settings employed in this investigation.
Fortalecimiento de las competencias investigativas metodológicas procedimentales de los docentes de la Fundación Universitaria Católica del Sur
Authors: Rosero de la Torre Rocío
Published: December 2023

El objetivo de esta investigación es caracterizar las competencias investigativas metodológicas procedimentales de los docentes del Programa de Administración de Servicios de Salud de la Fundación Universitaria Católica del Sur, puesto que el saber-hacer tiene gran importancia en la producción de investigaciones, más aún en la educación superior pues constituye una de las columnas fundamentales de la misión institucional. Esta se abordó desde un paradigma cuantitativo, con un enfoque empírico analítico, siendo a su vez de tipo  descriptivo, la recolección de datos se realizó por medio de la técnica de encuesta y el instrumento seleccionado fue una prueba de conocimientos aplicada a toda la población. El análisis de datos se efectuó con la técnica no paramétrica conocida como mediana.

Se encontró como resultado que las competencias investigativas metodológicas procedimentales del grupo de docentes, según su mediana, está ubicada en la categoría muy deficiente, por ello se diseñó un plan de formación para su fortalecimiento, conformado por 8 lecciones, cada una de ellas presenta una estrategia didáctica basa en el uso de las TIC, en términos generales consistió en el diseño, valiéndose de herramientas digitales disponibles en Internet, de presentaciones, plantillas, pizarras e infografías interactivas para el desarrollo de cada lección; las evidencias se guardan en un portafolio digital que reposa en Google Drive, la duración total del plan de formación es de 48 horas, 16 horas presenciales con la asistencia del mediador y 32 horas de trabajo autónomo.
Habilidades blandas desde el contexto de la Cuarta Revolución Industrial en Practicantes de Psicología
Authors: Salamanca Vargas Mary Isabel , González Egle María , Martínez Trujillo Nerys Esther
Published: December 2023

La presente investigación tuvo como objetivo, comprender la importancia de las habilidades blandas desde el contexto de la Cuarta Revolución Industrial en los practicantes de Psicología de la Universidad Popular del Cesar, entendiendo que estas están asociadas a rasgos de personalidad; por tanto, el profesional de esta era debe contar con competencias socioemocionales que no se enfoquen en el conjunto de saberes, sino que incluyan capacidades que se adquiere a través del aprendizaje, la práctica y la experiencia. En este sentido, el estudio se constituyó en tres etapas: descriptiva, estructural y de análisis de la información. La discusión de los resultados giró en torno a aquellos aspectos relevantes provenientes de la interpretación de los datos obtenidos mediante la entrevista a profundidad realizada a cuatro miembros del programa de Psicología que participan en las prácticas profesionales, lo que permitió a la investigadora conocer sus opiniones respecto a las categorías abordadas. Se concluyó que, los practicantes conocen las habilidades blandas y su importancia sobre su futuro como profesionales de Psicología en el mercado laboral actual, signado por la tecnología, la virtualidad y las relaciones de inmediatez tanto de producción como de uso.
One Health im Ernährungsunterricht: Ein kooperatives Lernkonzept zur Analyse eines Lebensmittelkorbs unter Berücksichtigung von Mensch, Tier und Umwelt
Authors: Pühringer Manuela , Abu Zahra-Ecker Rim
Published: December 2023

Unter Einbeziehung der kooperativen Unterrichtsmethode Gruppenpuzzle, angewandt bei der Analyse eines Lebensmittelwarenkorbs, wird das Thema „One Health“ aufbereitet. Ziel ist es, den Lernenden Zusammenhänge zwischen Gesundheit von Mensch, Tier und Umwelt aufzuzeigen und die Komplexität des Themas erfassbar zu machen.
Mir doch WURST!? – Implementierung des One-Health-Ansatzes im Unterricht zum Thema Fleischproduktion und Fleischkonsum
Authors: Hobusch Ulrich , Michenthaler Johanna , Salzmann-Schojer Katharina
Published: December 2023

Der Beitrag skizziert die Implementierung des WHO One-Health-Ansatzes in der schulischen Bildung. Dieser Ansatz betont die Verbindung von Gesundheit von Menschen, Tieren und Umwelt, insbesondere in der Landwirtschaft und Fleischproduktion. Das Autorenteam betont die Notwendigkeit, den One-Health-Ansatz in der schulischen Berufs- und Verbraucherbildung zu integrieren. Der Artikel bietet eine fachdidaktische Herangehensweise. Als Ausblick wird ein partizipativer empirischer Ansatz für die (hoch-)schulische Lehre präsentiert.
Application of a Hybrid Model of HPO and LSTM Neural Network Based on ICEEMDAN for Wind Speed Forecasting
Authors: Bi Qi , Bai Yu-long , Huang Yu-ting , Hong Jun-tao , Chen Zhi-ru , Hou Zai-hong
Published: December 2023

Wind power has the benefits of low cost, low emission, abundant resources, and renewability. The inherent randomness, intermittency, and fluctuation of wind power bring about the volatility of wind power generation. Ameliorating the precision of wind speed prediction has great significance. This study aimed to put forward a hybrid model of the hunter–prey optimization (HPO) and the long short-term memory (LSTM) neural network based on improved complementary ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) to acquire the exact wind speed forecast. First, the ICEEMDAN–HPO–LSTM model used ICEEMDAN to preprocess the raw wind speed sequence and then used the HPO–LSTM model to forecast each decomposed subsequence. Ultimately, the last predicted outcomes of the original wind speed sequence were attained by synthesizing all prediction subseries. Five comparison models were established based on three sets of data with different sequence lengths in Inner Mongolia, China, to test the dependability and utility of the model, and the advantages of the model were proved. The findings displayed that (1) the constitution of ICEEMDAN decomposition and HPO–LSTM could ameliorate the behavior of wind velocity forecast; and (2) the average values of the mean absolute error, mean absolute percentage error, root mean square error, and determination coefficient (R2) of the three datasets were 0.22411, 4.60277%, 0.27590, and 0.99719, respectively. The proposed prediction model can be used for wind speed forecasts.
Time-Varying Formation Control for Multiagent Systems with Different Time Delays
Authors: Sun Fenglan , Liang Qinbo , Zhu Wei , Li Qiuying
Published: December 2023

This article studies the time-varying formation (TVF) problem of multiagent systems (MASs) with different time delays. By designing the control protocol, the followers could achieve the desired TVF. Considering different communication delays, based on graph theory and stability theory, sufficient conditions for the system to realize TVF are obtained. Finally, the numerical example is employed to validate the effectiveness of theoretical results.
Interpretable Deep Learning Model for Identifying the Immediate Risk of Myocardial Infarction Complications
Authors: Wang Mengxiao , Jin Yanrui , Li Zhiyuan , Wei Xiaoyang , Liu Chengliang , Yang Xiaoxue
Published: December 2023

Electronic health records (EHR) encompass extensive personal information, diagnostic records, and medical history, enabling the prediction of disease occurrence and mortality risk. The objective of this study is to predict myocardial infarction complications and assess the risk of death by comparing the performance of various deep learning models and traditional machine learning approaches. The findings demonstrate similar performance between two kinds of models in predicting complication. The DeepFM model is commonly employed for Click-through rate (CTR) prediction. To the best of our knowledge, this is the first application of the DeepFM model to the EHR domain, and we have demonstrated its exceptional predictive performance, achieving the accuracy of 93.95%. Moreover, we further classify samples into low, intermediate, and high- risk categories with high confidence. To comprehend these results, we conduct an interpretability analysis of the models’ predictions employing SHAP values. This analysis involves ranking the significant features, and summarizing ECG-related features, which hold clinical decision-making revelance for clinicians.
User-centric item characteristics for personalized multimedia systems: A systematic review
Authors: Motamedi Elham , Tkalčič Marko
Published: December 2023

Multimedia item characteristics are used in domains, such as recommender systems and information retrieval. In this work we distinguish two main groups of item characteristics: (i) item-centric item characteristic (ICIC) and (ii) user-centric item characteristic (UCIC). With the term ICIC we denote a characteristic of an item that (a) has roots in the item and (b) has the same value for all users, for example, the duration of a song. With the term UCIC, we denote a characteristic of an item that (a) has roots in the perception of the user from an item characteristic and (b) exhibits some variance across different users, for example, the perceived emotion of a song. We survey recent work that covers various types of UCIC, acquisition methods of UCIC, and domain usage of UCIC. We identify gaps in the research and provide guidelines for future work.
T2FM: A novel hashtable based type-2 fuzzy frequent itemsets mining
Authors: Jeya Sutha M. , Ramesh Dhanaseelan F. , Felix Nes Mabel M. , Vijumon V.T.
Published: December 2023

Association rule mining (ARM) is an important research issue in the field of data mining that aims to find relations among different items in binary databases. The conventional ARM algorithms consider the frequency of the items in binary databases, which is not sufficient for real time applications. In this paper, a novel hash table based Type-2 fuzzy mining algorithm (T2FM) with an efficient pruning strategy is presented for discovering multiple fuzzy frequent itemsets from quantitative databases. The algorithm employs a hash table based structure for efficient storage and retrieval of item/itemset which reduces the search efficiency to O(1) or constant time. Previously, type-2 based Apriori and FP-growth based fuzzy frequent itemsets mining were proposed, which required large amounts of computation and a greater number of candidate generation and processing. Meanwhile, the proposed approach reduces a huge amount of computation by finding the common keys before the actual intersection operation takes place. An efficient pruning strategy is proposed to avoid unpromising candidates in order to speed up the computations. Several experiments are carried out to verify the efficiency of the approach in terms of runtime and memory for different minimum support threshold and the results show that the designed approach provides better performance compared to the state-of-the-art algorithms.
Semi-supervised fuzzy C means based on membership integration mechanism and its application in brain infarction lesion segmentation in DWI images
Authors: Zhang Benfei , Huang Lijun , Wang Jie , Zhang Li , Wu Yue , Jiang Yizhang , Xia Kaijian
Published: December 2023

In this paper, a novel semi-supervised fuzzy clustering algorithm, MFM-SFCM, based on a membership fusion mechanism is proposed for Diffusion-weighted imaging (DWI) brain infarction lesion segmentation. The proposed MFM-SFCM algorithm addresses the issue of weakened constraints and insufficient influence of labeled samples on the clustering process that arises in the semi-supervised fuzzy C-means clustering (SFCM) when emphasizing supervised information. By using a new membership fusion mechanism, MFM-SFCM eliminates this issue, greatly improving the accuracy of clustering results and accelerating convergence speed. This allows fuzzy clustering to achieve good results in the segmentation of DWI brain infarction lesions using a small amount of labeled information. The effectiveness of the MFM-SFCM algorithm is demonstrated through experiments conducted on a real-world dataset of DWI brain images.
Large-capacity information hiding method based on a chunking matrix
Authors: Zhang Ju , Zhang Tao , Xiang Yanpeng , Liu Jiahao , Zhang Yu
Published: December 2023

Information hiding is a crucial technology in the field of information security. Embedding capacity and stego-image quality are two key performance metrics in information hiding. In recent years, many information-hiding methods have been proposed to enhance embedding capacity and stego-image quality. However, through the study of these methods, we found that there is still room for improvement in terms of performance. This paper proposes a high-capacity information-hiding method based on a chunking matrix (CM). CM divides a 256×256 matrix into blocks, where each block contains k×k corresponding secret numbers. A pair of pixels is extracted from the original image and used as the coordinates for the matrix. In the search domain at that coordinate position, the corresponding secret number is found, and the matrix coordinates of the secret information are used as the pixel value for the stego-image. This paper evaluates the security and effectiveness of CM through measures such as embedding capacity, peak signal-to-noise ratio (PSNR), and bit-plane analysis. CM achieves a maximum embedding capacity of 4.806 bits per pixel (bpp) and maintains a PSNR value of more than 30 dB. Furthermore, the bit-plane analysis fails to detect the presence of the information hidden using CM method.
A novel uncertain information modeling method based on cosine similarity and cross entropy under spherical uncertain linguistic fuzzy set
Authors: Ma Qianxia , Zhu Xiaomin , Bai Kaiyuan , Pu Qian , Zhang Runtong
Published: December 2023

Multi-attribute group decision-making (MAGDM) is one of the research hotspots in human cognitive and decision-making theory. However, there are still challenges to the existing MAGDM methods in modeling uncertain linguistics of decision-makers’ (DMs’) cognitive information and objectively obtaining weights. Therefore, this paper aims to develop a new MAGDM method considering incomplete known weight information under spherical uncertain linguistic sets (SULSs) to model uncertain information in MAGDM problems. The method mainly includes the following aspects. Firstly, a new concept, which enables an intuitive evaluation of neutral membership and hesitancy degrees at the linguistic evaluation, has been is first developed for capturing the more uncertain information. Secondly, the cosine similarity measure (CSM) and cross-entropy measure (CEM) are widely used to measure ambiguous information because of their robustness of measurement results. The CSM and CEM are extended to SULSs to calculate the DMs’ and attributes weights quantitively, respectively. Thirdly, in terms of effective integration of fuzzy information to obtain more accurate decision results, the Hamy mean (HM) and dual Hamy mean (DHM) operators are valued due to their consideration of the interrelationships between inputs. Two extension operators, named spherical fuzzy uncertain linguistic weight HM and DHM, are proposed to integrate spherical fuzzy uncertain linguistic information in the third stage. In the experiment, a decision case is presented to illustrate the applicability of the proposed method, and results show the effectiveness, flexibility and advantages of the proposed method are demonstrated by numerical examples and comparative analysis.
RETRACTED: Infrared and visible image fusion method based on full convolutional network (FCN)
Authors: Hu Huixian , Wang Xiu , Li Tian
Published: December 2023

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
University lecturers’ perceived stress and self-rated health during COVID-19
Authors: Quach Ha-Linh , Do Chi Lan Thi , Dang Giap Xuan , Nguyen Thang Manh , Le Thang Cao , Nguyen Ha Thu
Published: December 2023

BACKGROUND: In 2022, many universities transitioned from virtual learning back to in-person teaching. Significant changes in working conditions, along with COVID-19-related anxiety during the pandemic, might impact the well-being of lecturers. OBJECTIVE: This study aims to assess the perceived stress, self-rated physical and occupational health of Vietnamese lecturers in 2022 compared to the pre-pandemic levels, and to identify their associating factors. METHOD: This is a cross-sectional study conducted in May–June 2022 through an online survey questionnaire. A sample of 425 university lecturers were included. Participants’ stress levels were assessed using the Perceived Stress Scale. Participants were asked to compare their current physical and occupational health with before the pandemic. Explanatory variables included (1) COVID-19 exposure; and (2) perceptions of changes in working environment due to the pandemic. Multivariable ordinal least squared regression analyses were used to estimate the coefficient and 95% confidence intervals for the associations between COVID-19 exposure variables, work conditions, and each outcome. RESULTS: Our findings indicated that over 60% of participants experienced moderate stress, while nearly half reported worsened physical and occupational health during the pandemic. Gender, age, perceptions of workload, workplace safety, COVID-19 infection, and incentive programs were significant factors associated with higher stress levels and worse self-rated health. CONCLUSION: To ensure occupational safety and support lecturers as they return to in-person classes, it is crucial to provide appropriate psychological and health support services.
Calculating permissible deviations of vibration accelerations of printed circuit assemblies by simulation modeling
Authors: Bityukov V. K. , Dolmatov A. V. , Zadernovsky A. A. , Starikovsky A. I. , Uvaysov R. M.
Published: December 2023

Objectives. A variety of technical condition control methods are used in the production and operation of printed circuit assemblies (PCA) for radio-electronic means (REM). The main methods are optical, electrical, and thermal. However, not all possible defects can be detected using these methods. For example, a weakened PCA fastener in a block or the incorrect installation of an electric radioelement (ERE) on a printed circuit board (PCB) can be detected only by analyzing the mechanical characteristics of the REM. These factors, in particular, are the values of the vibration acceleration amplitudes on ERE or at selected PCB control points (hereinafter referred to as the PCA vibration acceleration amplitude). In order to draw a conclusion about the presence of a defect, the measured values of the vibration acceleration amplitudes obtained as a result of testing PCA for the effects of harmonic vibration are compared with the permissible values calculated during the simulation of mechanical processes in PCA. This takes into account the variations in the physical and mechanical parameters of materials and geometric parameters of the PCA design. The aim of this paper is to determine the permissible values of PCA vibration acceleration amplitudes to be compared with the measured values.

Methods. The Monte Carlo simulation method is used to calculate the permissible deviations of vibration accelerations. This consists in repeatedly calculating the values of the vibration acceleration amplitudes at random values of the physical and mechanical parameters of materials and geometric parameters of the PCA design within their tolerances.

Results. Experimental verification of this method was carried out using theSolidWorkssoftware for modeling mechanical processes. This enabled the tolerance values for PCA vibration acceleration at the control point at the first resonant frequency to be established and experimental data to be obtained when introducing various defects. The results of comparing the measured values with the calculated tolerance enabled conclusions to be made with regard to the possibility of detecting PCA defects.

Conclusions. Using this method of calculating tolerances for the PCA vibration acceleration amplitude allows the presence of defects in REM that do not affect the electrical or thermal characteristics of REM to be determined, thus increasing the efficiency of technical condition control.
Investigation of influence of objective function valley ratio on the determination error of its minimum coordinates
Authors: Smirnov A. V.
Published: December 2023

Objectives. A valley is a region of an objective function landscape in which the function varies along one direction more slowly than along other directions. In order to determine the error of the objective function minimum location in such regions, it is necessary to analyze relations of valley parameters.

Methods. A special test function was used in numerical experiments to model valleys with variables across wide ranges of parameters. The position and other valley parameters were defined randomly. Valley dimensionality and ratio were estimated from eigenvalues of the approximated Hessian of objective function in the termination point of minimum search. The error was defined as the Euclidian distance between the known minimum position and the minimum search termination point. Linear regression analysis and approximation with an artificial neural network model were used for statistical processing of experimental data.

Results. A linear relation of logarithm of valley ratio to logarithm of minimum position error was obtained. Here, the determination coefficient R2 was ~0.88. By additionally taking into account the Euclidian norm of the objective function gradient in the termination point, R2 can be augmented to ~0.95. However, by using the artificial neural network model, an approximation R2 ~ 0.97 was achieved.

Conclusions. The obtained relations may be used for estimating the expected error of extremum coordinates in optimization problems. The described method can be extended to functions having a valley dimensionality of more than one and to other types of hard-to-optimize algorithms regions of objective function landscapes.
Semantic features of complex technosocial systems: On the taxonomy of artificial intelligence technological packages
Authors: Dovguchits S. I.
Published: December 2023

Objectives. The aim ofthis work is to enhance the scientific and methodological apparatus of artificial intelligence (AI) sciences by enriching their conceptual framework. The current conceptual framework of AI sciences does not reflect the intricate nature of this technological and socioeconomic phenomenon as possessing the diverse range of capabilities and the interconnectedness that allows for the imitation of human cognitive functions and comparable results. The author of the article structures the concept of the technological package of AI, describing its system properties, connections and functional elements based on the various types of human cognitive and operational activities.

Methods. The research is based on the concept (method) of technological packages—genetically and functionally connected sets of technologies with system properties.

Results. For the first time in Russian and international practice, the basic (general) taxonomy of the AI technological package has been specified and structured. A taxonomy of the AI metatechnological package (a package of metatechnologies) has been proposed. General taxonomy can serve as a tool for improving strategies, methodological documents and state programs to define the development of AI systems at state or industry level.

Conclusions. The suggested basic (general) taxonomy oftechnological package and taxonomy of metatechnologies package allows research to move away from the limited view of AI. It increases semantic and methodological clarity in relation to AI as a complex technosocial phenomenon and contributes to the harmonized integration of AI systems intо the sphere of socioeconomic activities of the state. It can thus serve as a foundation for further improvement of state economic and legal regulation of AI development.
Profound Symptom Alleviation in Long-Covid Patients After PAMP-Immunotherapy: Three Case Reports
Authors: Gaudek Raphaela , Porath Holger , Hobohm Uwe
Published: December 2023

BACKGROUND
Long-Covid patients suffer from a range of symptoms with a largely varying degree of severity, including chronic fatigue syndrome (CFS), myalgic encephalomyelitis (ME), post-exertional malaise (PEM), postural orthostatic tachycardia syndrome (POTS), loss of smell and/or taste, cough, shortness of breath, headache, muscle ache, sleep disturbance, cognitive dysfunction, and depression.

TREATMENT
PAMP-immunotherapy was developed by one of us (UH), inspired by the old fever therapy a century ago, to treat cancer patients. Unintentionally, in three cases of Long-Covid, quick and profound symptom alleviation could be observed after only a few PAMP treatments.

CONCLUSION
PAMP-immunotherapy might be a treatment option for Long-Covid patients which is surprisingly brief, cheap, and effective.
Potential Benefits of Information Technology Trends in Nigerian Tertiary Institutions
Authors: Jibrin Habib Shehu , Idris Muhammad Kabir , Usman Bello , Alhassan Isah Muhammad , Adamu Ahmed Aminu
Published: December 2023

In recent years, research on the possible applications of IT trends in tertiary institutions has grown significantly. This review focuses on the impact of numerous IT trends on tertiary education. The main objective of this review is to give a general overview of 45 related published articles sourced from five research databases between 2015 and 2023. The review discusses a variety of IT trends, such as artificial intelligence (AI), cloud computing (CC), the internet of things (IoT), data analytics and big data, cybersecurity, and virtual and augmented reality (VR and AR), and how it improve communication and collaboration. It also discusses how big data analytics is used to make better decisions, integrate AI into tertiary institutions, the potential of mobile learning apps, and how virtual reality is used in science education, cloud computing implications, and gamification applications. The review also shows how IT trends are becoming increasingly significant in changing how students learn at postsecondary institutions. The results demonstrate how learning management systems increase student engagement, while social media platforms have the ability to promote communication and collaboration. Additionally, the combination of artificial intelligence and big data analytics has exciting prospects for data-driven decision-making and individualised learning. Innovative methods to improve student learning and engagement are made possible by the use of virtual reality technology and mobile learning applications. The use of blockchain technology at tertiary institutions demonstrates its potential in fields like secure record-keeping and credentialing. The use of gamification also opens up new opportunities for boosting student engagement and motivation. at the final section, the effects of cloud computing at tertiary institutions are critically analysed, with an emphasis on the advantages and difficulties of cloud-based solutions.
NEW OBSERVATION OF ROCINELA SIGNATA SCHIOEDTE & MEINERT, 1879 (ISOPODA: AEGIDAE) AS ECTO- AND GILL PARASITE OF RED SNAPPER FISH LUTJANUS PURPUREUS (POEY, 1866), COLLECTED FROM THE GREAT AMAZON REEF SYSTEM (GARS)
Authors: Alves-Júnior Flavio , Martins Déborah , Paiva Ricardo , Klautau Alex , Cintra Israel
Published: December 2023

The isopod Rocinela signata Schioedte & Meinert, 1879 (Aegidae) is largely recorded in literature as ectoparasites of marine fishes; however, the full list of hosts is still far from complete. We report the occurrence of R. signata as ectoparasite from a new host: Lutjanus purpureus (Poey, 1866), an important fishery resource in the northern region of Brazil, collected from the Great Amazon Reef System (GARS), Brazil. Four specimens of R. signata were observed parasitizing three specimens of L. purpureus, collected during the fishery operations, using a manzuá trap along the continental shelf of the Amapá State. The presence of R. signata in the GARS expands its geographic distribution (the northernmost Brazilian record), additionally, the occurrence of R. signata in deeper waters than previously reported (~90 m), and its new host interaction.
Current state and prospects for digitalization of the Russian coal industry
Authors: Panov Yu. P. , Grabsky A. A. , Rozhkov A. A.
Published: December 2023

Background.Innovative robotic systems for mineral extraction and processing are increasingly changing the core operational principles of mining enterprises, thus making the creation of an intelligent mining enterprise a reality.

Aim.To develop a set of proposals for promoting the digitalization of the coal industry in Russia by carrying out an analysis of the current state of implementation of innovative equipment and digital technologies within the Industry 4.0 state initiative in Russian coal companies.

Materials and methods.The research was conducted using the methods of systems approach, value chain theory, expert evaluation, technological foresight, logical and comparative analysis, economic and statistical processing of information, including its tabular interpretation. The research materials included the data of coal companies, JSC “Rosinformugol”, Internet sources, and open publications.

Results.The proposal is made to develop five groups of key technological digital industry platforms

(TP), as follows: 1) TP “Prospecting and exploration works”; 2) TP “Underground mining technologies”; 3) TP “Open-pit mining technologies”; 4) TP “Technologies for processing coal and industrial waste”; 5) TP “Technologies for transporting rock mass”. It is proposed to implement the innovative digital potential of the coal industry in two stages, thereby completing the structural and digital transformation of the coal industry.

Conclusion.The proposed TPs of the Russian coal industry should solve the following tasks:

determination of the basic requirements and functional properties of the Russian coal industry based on the Industry 4.0 state initiative, along with the principles of their implementation;

determination of the main technological directions for the main sectors (processes) of technological development of the coal industry, including prospecting and exploration; underground and open-pit coal mining; upgrading and processing of coal and industrial waste; transportation of coal;

identification of the main components, technologies, information and management solutions in all the above processes;

diversification of the activities of coal mining companies in the creation of products with high added value;

overcoming the technological gap and import dependence by implementing phased import substitution and innovative development of the Russian coal industry and mining engineering with the achievement of technological sovereignty.

The research results can be used when creating a unified network of scientific and educational centers on the principles of public-private partnership for the development and industrial implementation of innovative technologies in the coal, mining, and exploration industries, as well as in the training of highly-qualified personnel on the basis of Sergo Ordzhonikidze Russian State University for Geological Prospecting.
The Hybotidae of the Our Planet Reviewed in Corsica 2019-2021 survey, with the description of three new species of Platypalpus and Tachydromia (Diptera, Empidoidea)
Authors: Grootaert Patrick , Van de Velde Isabella , Pollet Marc
Published: December 2023

In the framework of the Our Planet Reviewed program, a 3-years survey of Corsica was conducted between 2019 and 2021. A total of 3,287 Empidoidea (Diptera) were retrieved from about 17% or 152 out of 876 Diptera samples and examined. They contained 31 representatives of the family Atelestidae, 649 Brachystomatidae, 778 Empididae and 1,829 Hybotidae. The hybotid genera Drapetis Meigen, 1822, Platypalpus Macquart, 1827, and Tachydromia Meigen, 1803, were studied in more detail. Three species are described here as new to science: Platypalpus pseudoarticulatoides Grootaert, n. sp., P. pseudoniveisetoides Grootaert, n. sp. and Tachydromia corsicana Grootaert, n. sp. In addition, some rare species with a limited distribution in Europe such as Drapetis hirsuticercis Stark, 2003, Platypalpus longimanus (Corti, 1907), Platypalpus parvicauda (Collin, 1926), and Platypalpus stigma (Collin, 1926) are discussed here. Platypalpus excavatus Yang & Yao in Yang et al., 2007, is considered as a new objective synonym of Tachydromia excisa Becker, 1907.
PROGRAM PARENTING DALAM MENDAMPINGI TUMBUH KEMBANG ANAK USIA DINI DI DHARMA WANITA REJOMULYO
Authors: Naila Ibnah Warda
Published: December 2023

Keluarga merupakan lembaga sosialisasi pertama bagi seorang anak. Melalui keluarga itulah, anak diberikan dasar pembentukan tingkah laku, watak, moral, dan pendidikan agar kelak dapat melakukan penyesuaian diri. Berdasarkan hasil observasi dan wawancara dengan tenaga pendidik TK Dharma Wanita Rejomulyo, terdapat permasalahan mengenai cara pola asuh dan mindset orang tua yang masih kurang tepat. Maka dari itu, kami membuat program parenting yang dilaksanakan untuk wali murid TK Dharma Wanita Rejomulyo guna menangani permasalahan tersebut. Terdapat dua rangkaian kegiatan, yaitu Seminar Parenting dan Kegiatan Mewarnai Bersama Orang Tua. Tujuan dari program ini adalah memberikan pemahaman kepada orang tua terkait cara pola asuh anak yang baik. Hasil dari kegiatan Seminar Parenting adalah orang tua sudah cukup memahami cara pola asuh anak usia dini yang benar. Hal itu ditunjukkan dengan adanya peningkatan pada hasil post-test sebesar 41,86%. Diharapkan seiring berjalannya waktu, murid TK Dharma Wanita Rejomulyo dapat terbentuk karakter dan kepribadiannya dengan sebagaimana mestinya. Serta para orang tua dan guru dapat mendidik anak-anak sejak usia dini dalam pembentukan karakter masa depan bangsa.