bluuebunny/crossref_metadata_2025 huggingface dataset:
Effect of School Climate on School Performance at Secondary School Level
Authors: Malik Muhammad Irfan , Akram Muhammad , Qamar Abdul Hameed
Published: May 2023

The study aimed to examine effect of school climate on performance of schools. School climate includes measuring quality of the schools on various indicators such as dealing with internal and external dynamics, sustaining and fostering the school climate, high expectation and respects, handling conflicts and crisis, and shared decision making. Performance of schools is described as accomplishment of all short-term and long-term educational goals by the students, schools, and teachers. In district Sahiwal, 740 Secondary school teachers were selected randomly by using multistage sampling technique who evaluated their head teachers’ performance on quality practices of school climate on Head Teacher Effectiveness Questionnaire adopted for this study. For school performance, scores of student achievement were collected from their institutions along with the data on school performance questionnaire that included factors related to the teacher presence, school cleanliness, functioning of the facilities, and student presence. The data were obtained by reports of monthly visits collected through the evaluation teams of the districts authorities. The study explored that head of the institutions developed school climate effectively, and excellent level of schools performance was also found. The study found reasonable relationship between school climate and performance of schools (r=.57), and 32% variance in performance of school could be explained through school climate. The study also added that climate of school might be evaluated by using these quality practices of head teachers.
Musicality in Infancy
Authors: E. Trehub Sandra
Published: May 2023

The present review summarizes the available evidence on musicality, or music-related abilities, in infants (birth to 3 years). In the early months of life, infants are responsive to the pitch and temporal patterns of music. Their perceptual skills are similar, in many respects, to those of adults, presumably because of the nature of the human auditory system. Adult-infant differences, where evident, are attributable to infants’ unfamiliarity with the musical conventions of their culture. Musical enculturation proceeds more rapidly for temporal than for pitch processing. Musical exposure, especially the singing of caregivers, is prevalent in infancy. Caregivers’ music-making for infants has consequences for their emotional and social regulation and for their subsequent self-regulation abilities. By the end of their first year, most infants have become music-makers as well as music listeners. They move spontaneously to music, and their patterns of “dancing” undergo considerable change in the subsequent months and years. Early dancing is influenced by the familiarity of the music, and later dancing may include aspects of caregivers’ dance movements. Although the onset of singing occurs considerably later than the onset of dance, early singing is remarkably accurate in terms of its pitch range, pitch contours, rhythmic patterning, and fluency, especially when infants sing in their familiar home environment.
The Influence of the Moving Image on Music-Induced Emotions
Authors: Gram-Nilsen Elias , K. Vuoskoski Jonna
Published: May 2023

The combination of music and the moving image is prevalent in our society, occurring in visual art forms and media such as movies, music videos, and commercials. The relationship between the two has received much interest in existing research, but the focus has mainly been on the influence that music may have on the experience of the moving image. The present study adopts the reverse approach, and examines the potential impact the moving image may have on emotions felt and perceived while listening to music. Sixty-six participants were presented with three music excerpts that were introduced either alone or paired with one of two videos aimed to elicit strong emotions (either awe or being moved). The music excerpts were played a second time (without visual accompaniment) to investigate whether a possible influence of previously presented visual information was persistent. The results revealed that the moving image did have an intensifying effect on emotions induced (both awe and being moved) while listening to music. A significant negative effect on perceived valence and enjoyment was found for the least congruent music & video pairing. Interestingly, this incongruent pairing had the most persistent influence, being the only significant carry-over effect during the second presentation of music alone.
Self-Determination Theory Perspective on Motivation and Solo Performance among Students in Higher Music Education in Serbia
Authors: Bogunović Blanka , Jovanović Olja , Simić Nataša , Mutavdžin Dejana
Published: May 2023

Motivation is highly important for participation in musical activities and musical achievement. In the context of higher music education (HME) in Serbia, we sought to examine the relationship between students’ solo performance opportunities and two key components of the Self-Determination Theory (STD) – basic psychological needs (Competence, Relatedness and Autonomy) and motivational regulation styles (Amotivation, External, Introjected negative, Introjected positive, Identified, Intrinsic). The convenient sample of 197 HME students (performing modules; Mage = 23.88, SD = 3.4) completed two inventories: Basic Psychological Needs Satisfaction and Frustration Scale (BPNSFS; Chen et al., 2015) and Relative Autonomy Index Questionnaire (RAI-SRQ; Sheldon et al., 2017); they also provided data on the frequency of solo performances during HME. The results indicate that our participants’ basic psychological needs are highly met, with the need for Relatedness being significantly less satisfied and the need for Autonomy significantly more frustrated than the remaining two needs. The motivation for participation in music activities in our sample could be described as predominantly autonomous – Identified or Intrinsic. Fulfilment/frustration of basic psychological needs and motivational regulation styles predicted the likelihood of public solo performances, with Amotivation and External motivation being significant predictors. Our findings suggest that students with higher external motivation for participation in musical activities are more likely to have solo performances. In line with STD’s postulates, our findings are seen as a reflection of the dominant approaches to music education in Serbia, and are discussed as such.
APA YANG MEMPENGARUHI MAHASISWA UNTUK BERINVESTASI DI PASAR MODAL?
Authors: Sholihink Nur , Fahamsyah Mohammad Hatta
Published: May 2023

Penelitian ini bertujuan untuk mengetahui apakah terdapat pengaruh literasi keuangan, experienced regret, dan risk tolerance terhadap keputusan investasi mahasiswa Universitas Pelita Bangsa. Pengambilan sampel dalam penelitian ini dilakukan dengan menggunakan metode quota sampling, yaitu teknik untuk menentukan jumlah sampel dengan cara menentukan kriteria-kriteria tertentu sesuai dengan tema penelitian sehingga jumlah (kuota) sampel yang ingin digunakan untuk penelitian bisa tercapai. Untuk menguji hipotesis, penelitian ini menggunakan data primer yang diperoleh dengan cara menyebarkan kuesioner kepada 100 responden dan diolah dengan menggunakan smartPLS (Partial Least Square). Hasil penelitian ini menunjukkan bahwa literasi keuangan berpengaruh positif signifikan terhadap keputusan investasi. Experienced regret juga berpengaruh positif signifikan terhadap keputusan investasi. Risk tolerance juga berpengaruh positif signifikan terhadap keputuan investasi .
PENGARUH SIMPANAN ANGGOTA DAN KREDIT BERMASALAH TERHADAP SISA HASIL USAHA (STUDI KASUS KOPERASI PEGAWAI PDAM TIRTA AYU)
Authors: Nurhayati Nunung
Published: May 2023

Penelitian ini bertujuan untuk mengetahui pengaruh Simpanan Anggota dan Kredit Bermasalah terhadap Sisa Hasil Usaha pada Koperasi Pegawai PDAM Tirta Ayu. Adapun penelitian ini menggunakan jenis data kuantitatif dengan sumber data yang dipergunakan merupakan data sekunder yaitu laporan keuangan berupa neraca dan laporan piutang tak tertagih Koperasi Pegawai PDAM Tirta Ayu periode 2014 sampai dengan 2020. Teknik analisis yang digunakan yaitu analisis korelasi tunggal dan analisis korelasi berganda serta analisis koefisien determinasi. Hasil yang diperoleh secara parsial menunjukkan Simpanan Anggota memiliki pengaruh sangat kuat dan searah terhadap Sisa Hasil Usaha. Sedangkan Kredit Bermasalah secara parsial juga menunjukkan pengaruh yang sangat kuat dan searah terhadap Sisa Hasil Usaha. Serta adapun didapati hasil penelitian secara Bersama-sama atau simultan menunjukkan Simpanan Anggota dan Kredit Bermasalah memiliki pengaruh sangat kuat dan searah. Hasil koefisien determinasi menunjukkan bahwa Simpanan Anggota memiliki kontribusi terhadap Sisa Hasil Usaha sebesar 6.36% dan sisanya dijelaskan oleh variabel lain yang tidak diteliti. Kredit Bermasalah memiliki kontribusi terhadap Sisa Hasil Usaha sebesar 28.74% dan sisanya dijelaskan oleh variable lain yang tidak diteliti. Simpanan Anggota dan Kredit Bermasalah memiliki kontribusi secara Bersama-sama sebesar 18.04% dan sisanya dijelaskan oleh variable lain yang tidak diteliti
DAMPAK E-COMMERCE SELAMA PANDEMI COVID-19PADA UMKM KONVEKSI DI INDRAMAYU
Authors: Friyanty Ita
Published: May 2023

Di awal tahun 2020, para pebisnis Indonesia menghadapi tantangan yang sangat berat. Dimulai dengan munculnya virus Covid-19 yang terjadi di Wuhan, China. Beberapa UMKM mengalami dampak dan perubahan yang luar biasa, yang perlu dimulai dari perusahaan yang biasanya dijual secara offline dan berubah menjadi perusahaan digital yang dikenal dengan digital entrepreneurship. Media sosial dan marketplace dapat menjadi konsep untuk mendorong akses pemasaran yang lebih luas bagi pelaku UMKM (Purnomo, 2019). Tentu saja, salah satu hal yang perlu kita lakukan untuk menerapkan sistem perdagangan adalah berdagang, juga salah satunya. Sistem dan strategi dalam pemasaran yang baik adalah kunci untuk meningkatkan penjualan. Pelayanan yang baik dan informasi yang tersedia adalah aset dalam pemasaran produk. Peningkatan transaksi di media digital tidak terlepas dari sistem pembayaran secara digital dan peningkatan preferensi dan penerimaan umum terhadap teknologi digital. E-commerce merupakan teknologi yang memberikan informasi dan kemudahan dalam melakukan transaksi penjualan yang dilakukan melalui perangkat yang terhubung dengan internet. Oleh karena itu, Peneliti ingin mengetahui bahwa e-commerce mempengaruhi pendapatan. Khususnya bagi UMKM konveksi yang menggunakan e-commerce di Kabupaten Indramayu. Survei ini populasi dari adalah usaha kecil konveksi pengguna e-commerce Kabupaten Indramayu. Teknik pengambilan sampel yang menggunakan non-probability sampling untuk tipe target sampling. Dengan menggunakan metode regresi berganda maka variabel yang berhubungan dengan interface, navigasi, konten, dan reliability berpengaruh signifikan terhadap pendapatan UMKM konveksi Kabupaten Indramayu Selatan pada masa pandemi Covid-19, sedangkan variabel engineering adalah. penghasilan masyarakat.
JOB RESOURCE DEMAND FOR RESEARCH PERFORMANCE IN PRIVATE UNIVERSITY THROUGH WORK ENGAGEMENT
Authors: Gadzali Silvy Sondari , Yunizar Yunizar
Published: May 2023

The social role of lecturers as a part of the intellectual community is by doing research. This is questionable due to the low research results that show competence and work engagement in the novelty of science. The ability to understand paradigms, methodologies, and violations of a psychological breach in private tertiary institutions as an important aspect that has not received much attention. The research objective is to obtain an explanation of the ability and PCF (psychological contract fulfillment) as an antecedent for work engagement among lecturers for extra-role performance in the form of social identity theory. An explanatory survey of university permanent lecturers conducted in Kopertis IV (Coordinator of Private Universities, area IV, West Java and Banten province, Indonesia) with covariant-based SEM (Structural Equal Modeling). The analysis shows the importance of work engagement to support the social role of lecturers for the expansion and development of knowledge. Work engagement based on ability and psychological contract fulfillment have a significant influence on the extra-role of lecturers. The practical implication is to optimize the governance function of human resources (HR) to optimize abilities and encourage companies to build long-term orientation with lecturers to fulfill psychological bonds with lecturers.
Pseudoangiomatous stromal hyperplasia of the breast, imaging and clinical perspective: A review
Authors: Alikhassi Afsaneh , Skarpathiotakis Mia , Lu Fang-l , Curpen Belinda
Published: May 2023

Pseudoangiomatous stromal hyperplasia (PASH) is a benign breast pathology, which most commonly presents incidentally along with other breast pathologies. The etiology and pathogenesis of PASH are still unknown; however, there is some evidence suggesting PASH is hormone dependent. The clinical history, presentation, and imaging appearance of PASH are variable. Clinically, PASH has a wide spectrum of presentations, from being silent to gigantomastia. On imaging, PASH demonstrates various benign to suspicious features. Here we summarize PASH’s clinical presentation, histopathology, imaging features, and management.
Novel Delivery Mechanisms for Existing Systemic Agents and Emerging Therapies in Bladder Cancer
Authors: Zhang JJ H. , Starr Savannah L. , Chamie Karim
Published: May 2023

Systemic agents including immune checkpoint inhibitors, antibody-drug conjugates, and targeted therapies play a critical role in the management of bladder cancer. Novel localized delivery mechanisms for existing systemic agents explore solutions to improve treatment response without compromising safety. Herein, we review the contemporary innovations in modern intravesical agents, hyperthermic drug delivery, reverse-thermal gels, nanocarriers, gene therapy, and subcutaneous therapies.
Blood-Derived Progenitor Cells Are Depleted in Older Adults with Cognitive Impairment: A Role for Vascular Resilience?
Authors: Marshall Anisa J. , Gaubert Aimee , Kapoor Arunima , Tan Alick , McIntosh Elissa , Jang Jung Yun , Yew Belinda , Ho Jean K. , Blanken Anna E. , Dutt Shubir , Sible Isabel J. , Li Yanrong , Rodgers Kathleen , Nation Daniel A.
Published: May 2023

Background: Depletion of blood-derived progenitor cells, including so called “early endothelial progenitor cells”, has been observed in individuals with early stage Alzheimer’s disease relative to matched older control subjects. These findings could implicate the loss of angiogenic support from hematopoietic progenitors or endothelial progenitors in cognitive dysfunction. Objective: To investigate links between progenitor cell proliferation and mild levels of cognitive dysfunction. Methods: We conducted in vitro studies of blood-derived progenitor cells using blood samples from sixty-five older adults who were free of stroke or dementia. Peripheral blood mononuclear cells from venous blood samples were cultured in CFU-Hill media and the number of colony forming units were counted after 5 days in vitro. Neuropsychological testing was administered to all participants. Results: Fewer colony forming units were observed in samples from older adults with a Clinical Dementia Rating global score of 0.5 versus 0. Older adults whose samples developed fewer colony forming units exhibited worse performance on neuropsychological measures of memory, executive functioning, and language ability. Conclusion: These data suggest blood progenitors may represent a vascular resilience marker related to cognitive dysfunction in older adults.
Cytokine storm: When the immune system goes into overdrive
Authors: Kale Preeti Prakash , Mani Amit , Gurha Shraddha , Abhishek H.N. , Kant Krishan , Mustilwar Rachita
Published: May 2023

Cytokine storm is an excessive immune response that can occur in various medical conditions, including infections, autoimmune diseases, and cancer. It is characterized by a massive release of cytokines, leading to widespread inflammation and tissue damage. Clinical manifestations of cytokine storm include fever, hypotension, respiratory distress, and organ dysfunction. Laboratory findings typically show elevated levels of inflammatory markers and cytokines. The treatment of cytokine storm depends on the underlying cause and severity of the condition, but commonly involves immunosuppressive therapy, cytokine inhibitors, supportive care, plasma exchange, and other therapies. Early recognition and management are crucial for improving patient outcomes. Several cytokine inhibitors have been used in the treatment of cytokine storm, including tocilizumab, anakinra, emapalumab, sarilumab, and baricitinib. However, the use of cytokine inhibitors should be individualized based on the underlying condition and potential side effects. Further research is needed to better understand the pathophysiology of cytokine storm and develop more effective treatment strategies.
Artificial Intelligence in anesthesia: Biotechnology applications for optimal patient outcomes
Authors: Banerjee Shramana , Abhishek H.N. , Gupta Priyanka , Patel Abhishek Pravin , Kant Krishan , Shetti Akshaya N
Published: May 2023

Artificial intelligence (AI) is revolutionizing various fields of medicine, and anesthesia is no exception. AI in anesthesia is not only streamlining the work of anesthesiologists but also improving patient outcomes. The integration of biotechnology and AI has created opportunities for personalized care in anesthesia, with the aim of optimizing patient outcomes. The use of biotechnology in conjunction with AI has further expanded the possibilities in anesthesia care. Biotechnology tools such as genomics and proteomics can provide insights into individual patient responses to anesthesia drugs, enabling personalized drug dosing and reducing the risk of adverse events. Similarly, the use of biosensors and wearable devices can provide continuous monitoring of vital signs and other physiological parameters, allowing for real-time adjustments to anesthesia care. In future the integration of AI and biotechnology in anesthesia care has the potential to transform the field of anesthesia and improve patient outcomes. The development of personalized care plans and the early identification of at-risk patients can lead to a safer and more efficient anesthesia experience for patients.
A survey on cubic fuzzy graph structure with an application in the diagnosis of brain lesions
Authors: Ye Kangrui , Jiang Huiqin , Sadati Seyed Hossein , Talebi Ali Asghar
Published: May 2023

A cubic fuzzy graph is a fuzzy graph that simultaneously supports fuzzy membership and interval-valued fuzzy membership. This simultaneity leads to a better flexibility in modeling problems regarding uncertain variables. The cubic fuzzy graph structure, as a combination of cubic fuzzy graphs and graph structures, shows better capabilities in solving complex problems, especially where there are multiple relationships. Since many problems are a combination of different relationships, as well, applying some operations on them creates new problems; therefore, in this article, some of the most important product operations on cubic fuzzy graph structure have been investigated and some of their properties have been described. Studies have shown that the product of two strong cubic fuzzy graph structures is not always strong and sometimes special conditions are needed to be met. By calculating the vertex degree in each of the products, a clear image of the comparison between the vertex degrees in the products has been obtained. Also, the relationships between the products have been examined and the investigations have shown that the combination of some product operations with each other leads to other products. At the end, the cubic fuzzy graph structure application in the diagnosis of brain lesions is presented.
Boosting generalized zero-shot learning with category-specific filters
Authors: Sun Ke , Zhao Xiaojie , Huang He , Yan Yunyang , Zhang Haofeng
Published: May 2023

Zero-Shot Learning (ZSL) has made significant progress driven by deep learning and is being promoted further with the advent of generative models. Despite the success of these methods, the type and number of unseen categories are nailed in the generative models, which makes it challenging to recognize unseen categories in an incremental manner, and the profits of some superior performance algorithms largely arise from their advanced capability of feature extraction, such as Transformers. This paper rigidly follows the assumptions introduced in conventional ZSL and proposes a visual feature filtering method based on a semantic mapping model, namely, filtering visual features through class-specific filters to effectively remove class-agnostic information. Extensive experiments are conducted on four benchmark datasets and have achieved very competitive performance.
Precise modeling of learning process based on multiple behavioral features for knowledge tracing
Authors: Diao Xiu-Li , Zheng Cheng-Hao , Zeng Qing-Tian , Duan Hua , Song Zheng-guo , Zhao Hua
Published: May 2023

With the increase in needs for personalized learning of online students, knowledge tracing (KT), a technique aimed at tracing the state of a student’s knowledge mastery and predicting performance in future exercises, has become a hot topic in personalized learning research. The behavioral features exhibited during students’ learning process bear information that impacts the state of a student’s knowledge mastery. To study the influence of learning behaviors on students’ knowledge mastery state in the learning process, we propose a Precise Modeling of Learning Process based on Multiple Behavioral Features for Knowledge Tracing model (MBFKT), which models a student’s learning process by making use of these behavioral features. MBFKT initially processes these features through multi-head attention networks, memory networks, and recurrent neural networks to model students’ learning process into three memory links: memory decline link, memory enhancement link, and memory update link. Various update strategies are designed for each memory link, and the performance of numerous possible combinations of behavioral features in the memory links is compared, for the rules of learning and forgetting to be explained. Furthermore, we also study the contribution and degree of influence of different behavioral features on a student’s knowledge mastery state, by which MBFKT is improved, thus enhancing the accuracy of prediction. Through experiments on real online education datasets and comparison with existing benchmark methods, it is observed that MBFKT has evident advantages in predicting performance with good interpretability.
An application for the earthquake spectral and source parameters and prediction using adaptive neuro fuzzy inference system and machine learning
Authors: Rana Anurag , Vaidya Pankaj , Kautish Sandeep , Kumar Manoj , Khaitan Supriya
Published: May 2023

Parameters related to earthquake origins can be broken down into two broad classes: source location and source dimension. Scientists use distance curves versus average slowness to approximate the epicentre of an earthquake. The shape of curves is the complex function to the epicentral distance, the geological structures of Earth, and the path taken by seismic waves. Brune’s model for source is fitted to the measured seismic wave’s displacement spectrum in order to estimate the source’s size by optimising spectral parameters. The use of ANFIS to determine earthquake magnitude has the potential to significantly alter the playing field. ANFIS can learn like a person using only the data that has already been collected, which improves predictions without requiring elaborate infrastructure. For this investigation’s FIS development, we used a machine with Python 3x running on a core i5 from the 11th generation and an NVIDIA GEFORCE RTX 3050ti GPU processor. Moreover, the research demonstrates that presuming a large number of inputs to the membership function is not necessarily the best option. The quality of inferences generated from data might vary greatly depending on how that data is organised. Subtractive clustering, which does not necessitate any type of normalisation, can be used for prediction of earthquakes magnitude with a high degree of accuracy. This study has the potential to improve our ability to foresee quakes larger than magnitude 5. A solution is not promised to the practitioner, but the research is expected to lead in the right direction. Using Brune’s source model and high cut-off frequency factor, this article suggests using machine learning techniques and a Brune Based Application (BBA) in Python. Application accept input in the Sesame American Standard Code for Information Interchange Format (SAF). An application calculates the spectral level of low frequency displacement (Ω0), the corner frequency at which spectrum decays with a rate of 2(fc), the cut-off frequency at which spectrum again decays (fmax), and the rate of decay above fmax on its own (N). Seismic moment, stress drop, source dimension, etc. have all been estimated using spectral characteristics, and scaling laws. As with the maximum frequency, fmax, its origin can be determined through careful experimentation and study. At some sites, the moment magnitude was 4.7 0.09, and the seismic moment was in the order of (107 0.19) 1023. (dyne.cm). The stress reduction is 76.3 11.5 (bars) and the source-radius is (850.0 38.0) (m). The ANFIS method predicted pretty accurately as the residuals were distributed uniformly near to the centrelines. The ANFIS approach made fairly accurate predictions, as evidenced by the fact that the residuals were distributed consistently close to the centerlines. The R2, RMSE, and MAE indices demonstrate that the ANFIS accuracy level is superior to that of the ANN.
Integrated and optimized SVR analysis: Assessment of the preliminary and entire fracture energy of concrete
Authors: Wang Zhiyong
Published: May 2023

Assessment of energy needed for crack growth in concrete structures has been an interesting topic since the use of fracture mechanics to concrete. However, experimental procedures need time, cost and efforts. Based on historical data, regression approaches were created using mechanical characteristics and mixed design factors to quantify the concrete preliminary (Gf) and whole (GF) fracture energy. This work combined support vector regression (SVR) analysis with antlion optimization (ALO) and Harris Hawks optimization (HHO) approaches to build a hybridized SVR evaluation to fully comprehend Gf and GF. Evaluation metrics demonstrate that both optimized ALO-SVR and HHO-SVR assessments could perform wonderfully throughout the estimation mechanism. Whenever the superior SVR investigation was contrasted to the literature, it was observed that the uniquely developed ALO-SVR regression also provides a reasonable boost in effectiveness, with benefits across the board. Finally, although the HHO-SVR technique has its particular capabilities in the simulating procedure, the ALO-SVR analysis seems to be highly reliable for determining Gf and GF.
An approach for Correcting the Word-level Mispronunciations for non-native English-speaking Indian Children
Authors: Kasture Neha , Jain Pooja
Published: May 2023

Speech Recognition and its potential applications in terms of “talking devices” have become indispensable in today’s world. Technological advances like mobiles, smart home assistants or tablets extensively use the techniques of automatic speech recognition that works good for adults but cannot always follow and understand children’s speech. The primary goal of this paper is to bridge the gap of communication between voice assistants and Indian children speaking English as secondary language. The issue of lack of children’s speech corpora with English as non-native language, is addressed by creating a dataset of children in the age group of 5-15 years, speaking Hindi or Marathi as their mother tongue and English as their second language. The analysis and implementation of the proposed work shows the accuracy of approximately 96% and potential for further scope by increasing the size of dataset in lower age group. The key contributions of our work are (i) creating speech dataset of Indian children whose mother-tongue is Hindi or Marathi, (ii) employing and evaluating hybrid Convolutional Neural Network (CNN) as an age classifier, (iii) language modeling to customize children vocabulary, (iv) checking accuracy and performance of the system.
Privacy in process mining: Logs conversion to images using machine learning algorithm
Authors: Agordzo George K. , Fang Xianwen , Li Juan
Published: May 2023

In today’s digital age, log files are crucial. However, the conversion of text log files into images has only recently been developed. The security of log files is a major source of concern, and the security of the systems in which the logs are stored determines the safety of the log file in process mining. This calls for the first conversion of a text log file into an image file. Thus, this research aims to convert the log files into images in a mugshot database and detect illegal activity and criminals from the converted images employing a novel Convolutional Neural Network (CNN). The developed model has three stages: pre-processing, feature extraction, and detection and matching. The pre-processing was performed by min-max normalization, and in feature extraction, the deep learning method was used. Moreover, in the detection phase, CNN is employed for detecting illegal activities, and the matching process is performed for detecting illegal activities from converted images and criminals in the mugshot database. The model’s performance is evaluated in terms of precision, F1-score, recall, and accuracy values of 99.6%, 98.5%, 98.7%, and 99.8%, respectively. A further comparison has been performed to show the effectiveness of the suggested model over other methods.
Online product pricing considering product quality and return policy
Authors: Liu Xuwang , Liu Yanyang , Qi Wei , Luo Xinggang
Published: May 2023

With the rapid development of O2O, offline experience and online purchase have become a method of purchase for more and more customers. Through offline experience, consumers can feel the quality of products directly. Such channel switching behavior of consumers will produce a “showroom” effect and affect the return rate of online channels. This study adopts the multinomial logit model to maximize profits by considering the difference in quality between online and offline products, quality defects, and offline service. Then, a pricing decision model is developed to analyze the influence of returning goods due to quality problems on the retailers’ optimal pricing and profit. The result shows that retailers can obtain the optimal profit when the offline service is maintained at a certain level. As the return rate increases, the optimal pricing increases, but the maximum profit decreases. The optimal pricing decreases with the increase in online product quality, but the maximum profit increases accordingly. In the omni-channel environment, customers can freely switch between channels according to utility and preference when purchasing products. Based on customer returns, retailers can dynamically adjust their service, control product quality, and set optimal product pricing, thus achieving maximum profits. This study can provide a theoretical basis and decision support for omni-channel retailers in platform operation and revenue management.
Enhanced MABAC method for Pythagorean 2-tuple linguistic MAGDM and their applications to quality evaluation of construction project
Authors: Liu Lin
Published: May 2023

With the rapid development of the construction industry, people’s requirements for the construction quality continue to improve, and the supervision and management of the construction project quality has been paid more and more attention. The perfect quality supervision and management system is not only an important guarantee for the whole construction project implementation process, but also provides support for the smooth implementation of the construction project. With the increasing number of high-rise buildings in cities and the increasing difficulty of construction, it has posed great challenges to the construction industry, which also means that the quality supervision and management of construction projects are facing new challenges. Therefore, the project quality supervision and management department should review the situation, optimize the quality supervision and management work according to the current situation and needs of the construction project development, effectively improve the system guarantee and content optimization, maximize the role of quality supervision and management, and provide assistance for the high-quality and sustainable development of the construction industry. The quality evaluation of construction project is a classical multiple attribute group decision making (MAGDM). In this paper, we extended multi-attributive border approximation area comparison (MABAC) method for MAGDM with Pythagorean 2-tuple linguistic sets (P2TLSs). Firstly, a brief review of the definition of P2TLSs is given. Next, two aggregation operators of P2TLSs are used to fuse overall evaluation information. Moreover, combining traditional MABAC model with P2TLSs, Pythagorean 2-tuple linguistic number MABAC (P2TLN-MABAC) is built with all computing steps depicted in detail. Furthermore, a numerical example related to quality evaluation of construction project is conducted to demonstrate the effectiveness of the proposed method. Finally, some comparisons with P2TLWA and P2TLWG operators are also carried out.
RETRACTED: GRA method based on cumulative prospect theory for MCGDM with IVNSs and applications to college English translation teaching quality evaluation
Authors: Jin Xiaofang
Published: May 2023

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
Phenotype Genotype Characterization of FKRP-related Muscular Dystrophy among Indian Patients
Authors: Unnikrishnan Gopikrishnan , Polavarapu Kiran , Bardhan Mainak , Nashi Saraswati , Vengalil Seena , Preethish-Kumar Veeramani , Valasani Ravi Kiran , Huddar Akshata , Nishadham Vikas , Nandeesh Bevinahalli Nanjegowda , Nalini Atchayaram
Published: May 2023

Background:

The phenotypic spectrum of Fukutin-related protein ( FKRP) mutations is highly variable and comprises of limb girdle muscular dystrophy (LGMD) R9 (previously LGMD 2I) and FKRP related congenital muscular dystrophies.

Objective:

To identify the distinct genotype phenotype pattern in Indian patients with FKRP gene mutations.

Methods:

We retrospectively reviewed the case files of patients with muscular dystrophy having a genetically confirmed FKRP mutation. All patients had undergone genetic testing using next-generation sequencing.

Results:

Our patients included five males and four females presenting between 1.5 years and seven years of age (median age - 3 years). The initial symptom was a delayed acquisition of gross motor developmental milestones in seven patients and recurrent falls and poor sucking in one patient each. Two patients had a language delay, with both having abnormalities on the brain MRI. Macroglossia, scapular winging, and facial weakness were noted in one, three and four patients respectively. Calf muscle hypertrophy was seen in eight patients and ankle contractures in six. At the last follow-up, three patients had lost ambulation (median age - 7 years; range 6.5–9 years) and three patients had not attained independent ambulation. Creatine kinase levels ranged between 2793 and 32,396 U/L (mean 12,120 U/L). A common mutation - c.1343C>T was noted in 5 patients in our cohort. Additionally, four novel mutations were identified. Overall, six patients had an LGMD R9 phenotype, and three had a congenital muscular dystrophy phenotype.

Conclusion:

Patients with FKRP mutations can have varied presentations. A Duchenne-like phenotype was the most commonly encountered pattern in our cohort, with c.1343C>T being the most common mutation
Muscle Ultrasound Abnormalities in Individuals with RYR1-Related Malignant Hyperthermia Susceptibility
Authors: van den Bersselaar Luuk R. , van Alfen Nens , Kruijt Nick , Kamsteeg Erik-Jan , Fernandez-Garcia Miguel A. , Treves Susan , Riazi Sheila , Yang Chu-Ya , Malagon Ignacio , van Eijk Lucas T. , van Engelen Baziel G.M. , Scheffer Gert-Jan , Jungbluth Heinz , Snoeck Marc M.J. , Voermans Nicol C.
Published: May 2023

Background:

Variants in RYR1, the gene encoding the ryanodine receptor-1, can give rise to a wide spectrum of neuromuscular conditions. Muscle imaging abnormalities have been demonstrated in isolated cases of patients with a history of RYR1-related malignant hyperthermia (MH) susceptibility.

Objective:

To provide insights into the type and prevalence of muscle ultrasound abnormalities and muscle hypertrophy in patients carrying gain-of-function RYR1 variants associated with MH susceptibility and to contribute to delineating the wider phenotype, optimizing the diagnostic work-up and care for MH susceptible patients.

Methods:

We performed a prospective cross-sectional observational muscle ultrasound study in patients with a history of RYR1-related MH susceptibility ( n = 40). Study procedures included a standardized history of neuromuscular symptoms and a muscle ultrasound assessment. Muscle ultrasound images were analyzed using a quantitative and qualitative approach and compared to reference values and subsequently subjected to a screening protocol for neuromuscular disorders.

Results:

A total of 15 (38%) patients had an abnormal muscle ultrasound result, 4 (10%) had a borderline muscle ultrasound screening result, and 21 (53%) had a normal muscle ultrasound screening result. The proportion of symptomatic patients with an abnormal result (11 of 24; 46%) was not significantly higher compared to the proportion of asymptomatic patients with an abnormal ultrasound result (4 of 16; 25%) ( P = 0.182). The mean z-scores of the biceps brachii (z = 1.45; P < 0.001), biceps femoris (z = 0.43; P = 0.002), deltoid (z = 0.31; P = 0.009), trapezius (z = 0.38; P = 0.010) and the sum of all muscles (z = 0.40; P < 0.001) were significantly higher compared to 0, indicating hypertrophy.

Conclusions:

Patients with RYR1 variants resulting in MH susceptibility often have muscle ultrasound abnormalities. Frequently observed muscle ultrasound abnormalities include muscle hypertrophy and increased echogenicity.
THE MAIN PRINCIPLES OF DESIGNING PUBLIC SPACES IN GERMANY ON THE EXAMPLE OF THE CITY OF HANNOVER
Authors: Melnyk Mariia
Published: May 2023

In Germany, public space and its use are thought to be full of conflicts: festivalization vs. everyday quality, advertising vs. urban design, commerce vs. culture, drivers vs. strollers, demonstrators vs. tourists, private use vs. general accessibility, spontaneous, temporary appropriation vs. permanent order, and design

The often conflicting expectations – also of women and men or old and young people – about public space are an expression of the increasingly heterogeneous nature of urban society. In terms of design, the pendulum swings between nostalgic kitsch, cool modern design and aesthetic neglect.

In recent years, the pressure and overload of private and public advertising, road and information signs, retail and restaurant furniture and telecommunications equipment have increased. The generally accepted indicator, the agreement about what quality of form is in public space, seems to be largely lost. 

Too often only the city center is seen as a public space in need of planning and political attention. Main roads or district and district centers are lost from sight, let alone commercial areas. Demographic changes, a smaller, older and brighter urban population make new demands on public space, as a place where different cultures and increasingly differentiated lifestyles meet, as a place for the integration of urban society.

So there is a need for action. It is not about uniform rules for the use and design of public spaces, nor about the illusion of ideal and consistent planning. Rather, it is about criteria of social and aesthetic quality, about what is appropriate in each city and each district, which should be developed and discussed in dialogue with residents, users and the public.
Investigation of thixotropy of underwater silty soils
Authors: Sukach Mykhailo , Komotska Svitlana
Published: May 2023

In the natural state, thixotropic phenomena in soils most often occur under external loads of a dynamic nature: earthquakes, vibrations from moving vehicles, working machines and mechanisms. Data on the study of soil thixotropy indicate that under dynamic load to reduce the strength and go into a liquid state can be dispersed soils of different types, genesis and age. The influence of dynamic loading is especially significant in the case of poorly compacted and water-saturated sandy and clay soils.

At dynamic loading there can be both consolidation of soil and accordingly increase in its durability, and decrease in durability. More often it is necessary to face processes of decrease in durability and thinning of soils at dynamic influence. The most studied processes occurring in water-saturated sands. The state of liquefaction during vibration occurs due to the destruction of contacts between individual grains, the strength of sandy soil drops to almost zero. After removing the vibration load, the grains of sand under the influence of their own weight move down, causing compression of the liquid phase. The more sands contain fine particles and organic matter, the longer they retain a liquid state, the slower the squeezing of water and compaction. The possibility of thinning sandy soils is determined not so much by natural porosity, but by the stress of the soil and the nature of vibration.
Elite innovation and talent entrepreneurship
Authors: Sukach Mykhailo
Published: May 2023

Weihai City (Shandong Province, China) hosted an "Online-video Road-show" devoted to the selection of foreign high-class talents. More than 20 entrepreneurs and several Ukrainian academics enthusiastically communicated via online video, discussing the convergence of technologies in the fields of agriculture, medical treatment, automation, etc. A new attempt at a cloud-based international road show has been launched - a prelude to the "China Weihai International Talents, Innovation and Entrepreneurship Conference".

The event was organized by the Weihai Municipal Bureau of Human Resources and Social Security and conducted by the Human Resources and Social Security Administration (Weihai Talent Work). After numerous selections and a combination with the production situation and the real needs of the park of enterprises, a plan of activities for online docking with the Ukrainian team of academics was determined. Ukraine has a strong scientific and research base, a sufficient supply of high-class talent and a powerful technical force. Five academicians and specialists took part in the joint works, who attracted the interest of Weihai enterprises with their technical achievements.
ART PROJECTS AS HUMANITARIAN STRATEGIES FOR PSYCHOSOCIAL SUPPORT: INTERNATIONAL EXPERIENCE OF DEVELOPMENT AND IMPLEMENTATION
Authors: Овчарук Olga
Published: May 2023

The purpose of the article is to substantiate the possibilities of using the international experience in the field of cultural and artistic practices as a humanitarian strategy for psychosocial support for children and youth in Ukraine under martial law, based on a cultural analysis of the implementation of the «Mobile Arts for Peace» (MAP) art project. The research methodology is to use interdisciplinary and comparative approaches to study the specifics of the therapeutic impact of various types of arts – theatre, music, visual arts, choreography in the implementation of international art projects in post-conflict societies. The main research methods are: the method of hermeneutic analysis – for the interpretation of works of art created within certain national cultures; the method of semiotic analysis –for revealing the meanings and values of artistic phenomena as sign systems; the method of psychological experiment – for analysing the results of using innovative artistic methods in the process of psychological support for project participants. The scientific novelty consists in summarising the international experience of developing and implementing the «Mobile Arts for Peace» art project in different countries of the world – Rwanda, Nepal, Indonesia, Kyrgyzstan; substantiating the possibilities of providing psychosocial support to participants in art projects as forms of cultural and artistic practices; identifying the features of the MAP project implementation based on the specifics of national cultural traditions, historical, and cultural memory, and the depth of cultural trauma in each society. Conclusions. The analysis of the process of implementing the «Mobile Arts for Peace» art project allowed us to summarise the international experience of engaging art as an effective tool for peacebuilding, establishing dialogue, and providing psychological assistance to societies in countries that have gone through various types of conflicts. The studied international experience can be successfully used to develop concepts, programs, and methodological recommendations adapted to the needs of Ukrainian society in the context of war.

Key words: international art project, Mobile Arts for Peace, cultural and artistic practices, psychosocial support, humanitarian strategies.
Concept of Vocal Pedagogy by Valentyna Antoniuk in the Context of Ukrainian Vocal School Development
Authors: Sachok ViktorViktor
Published: May 2023

The purpose of the article is to reveal the theoretical foundations, pedagogical principles, and teaching methods of Valentyna Antoniuk in the context of the development of the Ukrainian vocal school. The research methodology is based on a complex combination of the historical and cultural method (in the comprehension of cultural and artistic factors in forming V. Antoniuk’s pedagogical concept in the context of the development of the national vocal school in Ukraine). The method of aesthetic and stylistic analysis are used in the disclosure of the characteristics of pedagogical principles and priorities in V. Antoniuk’s teaching activity. The novelty of the study consists in revealing the modern understanding of the "vocal school" phenomenon, which is connected with the individual creativity of the performer, asserting what is basic for the concept of V. Antoniuk’s vocal pedagogy, in the context of creative personalities’ professional features. Conclusions. V. Antoniuk's pedagogical attention is focused on the methods of sound production and sound science, singing breathing, the use of vocal apparatus resonators, principles of voice production, articulation and intonation foundations of performance, performing freedom and individual performing vision of an artistic image. Among the pedagogical priorities of training is the desire for a student's personal understanding of a vocal work, its artistic and semantic interpretation and filling the performance of the work with maximum detailing of various expressive means.

Key words: Ukrainian vocal school, vocal pedagogy, vocal performance, ethnocultural traditions of performance.