mdpi-ai/citelens huggingface dataset:
A Time Series Approach to Smart City Transformation: The Problem of Air Pollution in Brescia
Field: AI

Air pollution is a paramount issue, influenced by a combination of natural and anthropogenic sources, various diffusion modes, and profound repercussions for the environment and human health. Herein, the power of time series data becomes evident, as it proves indispensable for capturing pollutant concentrations over time. These data unveil critical insights, including trends, seasonal and cyclical patterns, and the crucial property of stationarity. Brescia, a town located in Northern Italy, faces the pressing challenge of air pollution. To enhance its status as a smart city and address this concern effectively, statistical methods employed in time series analysis play a pivotal role. This article is dedicated to examining how ARIMA and LSTM models can empower Brescia as a smart city by fitting and forecasting specific pollution forms. These models have established themselves as effective tools for predicting future pollution levels. Notably, the intricate nature of the phenomena becomes apparent through the high variability of particulate matter. Even during extraordinary events like the COVID-19 lockdown, where substantial reductions in emissions were observed, the analysis revealed that this reduction did not proportionally decrease PM2.5 and PM10 concentrations. This underscores the complex nature of the issue and the need for advanced data-driven solutions to make Brescia a truly smart city.
Overexpression of Growth Differentiation Factor 15 in Glioblastoma Stem Cells Promotes Their Radioresistance
Field: ONCOLOGY

GSCs play an important role in GBM recurrence. Understanding the resistance mechanisms in these cells is therefore crucial for radiation therapy optimization. In this study, using patient-derived GSCs, we demonstrate that GDF15, a cytokine belonging to the TGF-β superfamily, is regulated by irradiation (IR) and the transcription factor WWTR1/TAZ. Blocking WWTR1/TAZ using specific siRNAs significantly reduces GDF15 basal expression and reverses the upregulation of this cytokine induced by IR. Furthermore, we demonstrate that GDF15 plays an important role in GSC radioresistance. Targeting GDF15 expression by siRNA in GSCs expressing high levels of GDF15 sensitizes the cells to IR. In addition, we also found that GDF15 expression is critical for GSC spheroid formation, as GDF15 knockdown significantly reduces the number of GSC neurospheres. This study suggests that GDF15 targeting in combination with radiotherapy may be a feasible approach in patients with GBM.
Preschool Teachers’ Cognitions, Emotions, and Tolerance toward Children’s Hypothetical Social Behaviors in the Classroom
Field: PSYCHOLOGY

Teachers’ tolerance toward children’s social behaviors is, in part, guided by teachers’ cognitions and emotions. Few studies have examined the associations between teachers’ cognitions, emotions, and tolerance toward children’s social behaviors. This study aimed to (1) describe the cognitions, emotions, and tolerance of Portuguese preschool teachers toward children’s shy, physically and relationally aggressive, rough-and-tumble play, exuberant, and unsociable behaviors at preschool, depending on children’s sex; and (2) examine the direct and indirect associations (via teachers’ emotions) between teachers’ cognitions and tolerance toward children’s social behaviors, depending on children’s sex. One hundred and seven preschool teachers completed the Child Behaviors Vignettes. Preschool teachers displayed more negative views toward children’s physical and relational aggression, reported positive perspectives toward children’s rough play and mixed attitudes toward children’s exuberance, and differentiated shy from unsociable behaviors. Direct associations between teachers’ cognitions and tolerance were found only for physical aggression. Teachers’ anticipation of negative peer costs and academic performance appear to exert an indirect influence on teachers’ tolerance toward physical aggression and unsociability, via increased levels of worry. These findings highlight the role of teachers’ emotions for tolerance toward children’s social behaviors and the need to enhance their self-awareness.
Embedding Civil Engineering Understanding through the Use of Interactive Virtual Reality
Field: EDUCATION

Recent skills surveys of engineering graduates have highlighted a deficit in critical thinking among graduates. A possible solution to this is to increase the number of hands-on exercises in the curriculum. This could be carried out through the integration of 3D learning tools, specifically a virtual reality (VR) program, to effectively teach civil engineering practical studies and allow repeatable and measurable exercises for students. This study aims to assess the suitability of the VR program as an additional resource alongside existing learning exercises or a substitute for hands-on experiments when needed. The methodology involved creating a VR program, compatible with VR headsets to replicate an engineering experiment, namely the loading of a concrete beam to observe its failure. Students’ understanding of the virtual experiment was evaluated through end-of-experiment questions. The findings indicate that the VR learning tool was successful in enhancing students’ understanding of the civil engineering experiment. The immersive and interactive nature of VR contributed to a solid grasp of the concepts presented, proving its potential as a valuable educational resource. By leveraging VR technology, educational institutions can provide an engaging and effective alternative to traditional laboratory sessions, ensuring uninterrupted and high-quality learning experiences for civil engineering students.
Convolution Neural Network Bidirectional Long Short-Term Memory for Heartbeat Arrhythmia Classification
Field: AI

Arrhythmia is a heart condition that poses a severe threat to life and requires prompt medical attention. One of the challenges in detecting arrhythmias accurately is that incorrect diagnoses can have severe consequences. In light of this, it is critical to develop a solution that is both effective and reliable. In this study, we propose a residual Convolution Neural Network Bidirectional Long Short-Term Memory (DeepResidualBiLSTM) model for classifying Arrhythmia types, which addresses the vanishing gradient problem and captures the relevant features in the signals’ long dependencies. The model is characterized by its simplicity, stability, and ability to extract meaningful features effectively. Using two well-known datasets, the experimental results demonstrate exceptional accuracy, precision, and recall values of approximately 99.4% at the early stage of 20 epoch training. Furthermore, the model demonstrates a remarkable ability to discriminate between Arrhythmia classes under varying thresholds using the ROC curve metric, with a high value, in most cases, of 100% for accurately detecting positive cases.
Semantic Adversarial Attacks on Face Recognition Through Significant Attributes
Field: AI

Face recognition systems are susceptible to adversarial attacks, where adversarial facial images are generated without awareness of the intrinsic attributes of the images in existing works. They change only a single attribute indiscriminately. To this end, we propose a new Semantic Adversarial Attack using StarGAN (SAA-StarGAN), which manipulates the facial attributes that are significant for each image. Specifically, we apply the cosine similarity or probability score to predict the most significant attributes. In the probability score method, we train the face verification model to perform an attribute prediction task to get a class probability score for each attribute. Then, we calculate the degree of change in the probability value in an image before and after altering the attribute. Therefore, we perform the prediction process and then alter either one or more of the most significant facial attributes under white-box or black-box settings. Experimental results illustrate that SAA-StarGAN outperforms transformation-based, gradient-based, stealthy-based, and patch-based attacks under impersonation and dodging attacks. Besides, our method achieves high attack success rates on various models in the black-box setting. In the end, the experiments confirm that the prediction of the most important attributes significantly impacts the success of adversarial attacks in both white-box and black-box settings and could improve the transferability of the generated adversarial examples.
The Individual Work Performance Questionnaire: Psychometric Properties of the Italian Version
Field: PSYCHOLOGY

Individual work performance can be defined as individual behaviour capable of generating value and a competitive advantage for the organization. Furthermore, this construct is linked to other fundamental variables that constitute worker well-being, such as job satisfaction and engagement. Although important, a complete measure of individual work performance is still lacking in the Italian context. The objective of this work is to validate the Individual Work Performance Questionnaire (IWPQ) within the Italian organisational context. The IWPQ is a multi-dimensional construct consisting of task performance, contextual performance, and counterproductive work behavior. To investigate the psychometric properties of the Italian IWPQ, 1053 participants were enrolled, whose ages ranged between 19 and 69 years. EFA, CFA, and MCFA analyses were performed to test the structural factors of the IWPQ. The results supported the validity of the IWPQ in the Italian context; the final structure consisted of 17 items. Multigroup confirmatory factor analysis showed that the factor solution was invariant across both gender and occupational categories and found evidence of metric, uniqueness, scalar, and structural invariance. Convergent validity was also tested and demonstrated. Adequate studies on the importance of individual performance can be used to better understand and distinguish the different components affecting performance.
Physical Activity Time, Alcohol Consumption, Mediterranean Diet, and Anxiety in Education Science Students
Field: PSYCHOLOGY

Student lifestyles change during university. This research aimed to classify university students according to their levels of physical activity, alcohol consumption, adherence to the Mediterranean diet, and anxiety and studied the relationships between the variables using a multigroup equation model according to gender. The sample was composed of 549 participants (M = 23.06; S.D. = 6.22), of whom 409 were women and 140 were men. Validated and adapted instruments such as the Beck Anxiety Inventory, the PREDIMED Questionnaire, and the Alcohol Use Disorder Identification Test were used. The data revealed four clusters through Ward’s method and the k-means method. Regarding the exploratory model, differences were found in the effects of the variables according to sex. In conclusion, alcohol consumption was positively associated with the Mediterranean diet, and physical activity was negatively associated with the Mediterranean diet and anxiety.
Learning about the Coexistence between Nature and Humans in Elementary Science Education: Developing Lessons Using Folktales That Reflect Ancestors’ Views on Nature
Field: EDUCATION

Understanding the coexistence between nature and humans is a basic concept required in modern society. In this study, we verify the effectiveness of folktales as teaching material in science education by incorporating folktales into the fifth-grade elementary school science unit, “Functions of Running Water and Changes in the Land”. We investigate the effects of folktales that express ancestors’ perspectives on nature on pupils’ ideas about the coexistence between nature and humans. Additionally, we explore the possibility of using folktales in science education. In November 2017, an experimental group (74 participants) explored the coexistence between nature and humans through folktales, while a control group (60 participants) explored this coexistence through discussion activities. These experiments were conducted in fifth-grade classrooms at elementary schools in Hiroshima Prefecture, western Japan. Our results indicate that for some pupils in the experimental group, exposure to their ancestors’ views of nature helped them develop and refine their ideas about their connection to and relationship with the river. Folktales vividly depict the nature of the past in the places where the pupils live, offering a glimpse into their ancestors’ different views on nature that differ from present-day views. It is considered that, by coming into contact with the folktale, pupils were able to enter a situation that transcended time, allowing them to think about and empathize with the people who lived with the river. It is suggested that this connection is related to the results described above.
SIRT1 Promotes Cisplatin Resistance in Bladder Cancer via Beclin1 Deacetylation-Mediated Autophagy
Field: ONCOLOGY

Autophagy-dependent cisplatin resistance poses a challenge in bladder cancer treatment. SIRT1, a protein deacetylase, is involved in autophagy regulation. However, the precise mechanism through which SIRT1 mediates cisplatin resistance in bladder cancer via autophagy remains unclear. In this study, we developed a cisplatin-resistant T24/DDP cell line to investigate this mechanism. The apoptosis rate and cell viability were assessed using flow cytometry and the CCK8 method. The expression levels of the relevant RNA and protein were determined using RT-qPCR and a Western blot analysis, respectively. Immunoprecipitation was utilized to validate the interaction between SIRT1 and Beclin1, as well as to determine the acetylation level of Beclin1. The findings indicated the successful construction of the T24/DDP cell line, which exhibited autophagy-dependent cisplatin resistance. Inhibiting autophagy significantly reduced the drug resistance index of these cells. The T24/DDP cell line showed a high SIRT1 expression level. The overexpression of SIRT1 activated autophagy, thereby further promoting cisplatin resistance in the T24/DDP cell line. Conversely, inhibiting autophagy counteracted the cisplatin-resistance-promoting effects of SIRT1. Silencing SIRT1 led to increased acetylation of Beclin1, the inhibition of autophagy, and a reduction in the cisplatin resistance of the T24/DDP cell line. Introducing a double mutation (lysine 430 and 437 to arginine, 2KR) in Beclin-1 inhibited acetylation and activated autophagy, effectively reversing the decreased cisplatin resistance resulting from SIRT1 silencing. In summary, our study elucidated that SIRT1 promotes cisplatin resistance in human bladder cancer T24 cells through Beclin1-deacetylation-mediated autophagy activation. These findings suggest a potential new strategy for reversing cisplatin resistance in bladder cancer.
Big Five Personality Traits and Compulsive Buying: The Mediating Role of Self-Esteem
Field: PSYCHOLOGY

The inter-relationships between the Big Five personality traits, self-esteem, and compulsive buying are supported by strong empirical evidence. What is yet unknown is to what extent self-esteem can channel the influence of personality traits on compulsive buying. The main objective of this study is to explore the possible mediating role of self-esteem in the link between the Big Five personality traits and compulsive buying. Path analysis results, using a sample of 487 university students, generally confirm the suitability of the proposed model in which self-esteem mediated the effects of the Big Five personality traits (neuroticism, extraversion, agreeableness, openness to experience, and conscientiousness) on compulsive buying. Moreover, a direct effect of neuroticism and conscientiousness on compulsive buying was found. Finally, based on the finding that self-esteem acts as a necessary filter in the analysis of the five factors–compulsive buying relationship, several action-oriented guidelines for the prevention or intervention of this behavioral problem are suggested.
Grief (Work) Is Heart (Work): A Critical Race Feminista Epistolary Exchange as an Offering on Death, Grief, and Well-Being to Academia
Field: EDUCATION

This article centers around my work as a critical race feminista; an academic experiencing consistent attacks on the scholarship I produce while also being a tía (aunt), an active griever, and a godmother to my eldest nephew, Solano Garcia. This is the first time that my nephew and I will have shared our most private papelitos guardados (intimate guarded papers). In this article, we respond to the paucity of Black, Indigenous, and People of Color-centered death, grief, and well-being in academia. Using a critical race feminist epistolary methodology, we document our epistolary exchanges that contain dehumanizing attempts on our bodymindspirit matrices as active grievers of color confronting the premature death of my brother, who died at the age of 37 in the summer of 2021. Unlike the ‘western’ psychotherapeutic tradition of overcoming death and grief, we stake a claim, sit with it, and affirm it as an ongoing process. We argue that recognizing and affirming death and grief is a life-making process that creates spaces for healing through our epistolary offerings. This article aims to offer BIPOC faculty, staff, students, and their families life-affirming strategies towards radical self-care, love, and intergenerational collective healing within a sociopolitical context that operates as a surveillance mechanism.
Family Functioning Styles and Exercise Addiction: Disengaged, Enmeshed, and Rigid Family Patterns Are Associated with Exercise Addiction
Field: PSYCHOLOGY

Physical exercise is a widely recommended practice for promoting health, but for some individuals, this activity can result in pathological and morbid behaviour. Therefore, the study of the factors contributing to the onset, development, and progression of exercise addiction is particularly relevant. Within this framework, the present study assessed the effect of family functioning, body image concerns, age, and gender on exercise addiction. A sample of 300 regular exercisers (Mage = 30.3 years, SD = 11.6; 69.7% females, 30.3% males) participated in the study and completed the Family Adaptability and Cohesion Evaluation Scales–IV, Body Image Concern Inventory, and Exercise Addiction Inventory. Data were analysed by implementing a series of moderated moderated-mediations. Results showed that three significant models were relevant. First, positive associations of disengaged (p < 0.05), enmeshed (p < 0.05), and rigid (p < 0.01) family functioning with exercise addiction were found. Furthermore, body image concerns mediated all these relationships, and the interaction between gender and age significantly moderated the effects of body image concerns on exercise addiction (p < 0.05). Such data may be useful for a deeper understanding of the variables associated with the development of exercise addiction, suggesting key elements on which it might be useful to focus in clinical and/or preventive activity.
Academic Success at Social Costs: An Exploratory Study on Social Networks of Chinese Students under Academic Streaming
Field: PSYCHOLOGY

In universities that require students to reside in dormitories, there are two types of social networks—study/classroom-based and social/dorm room-based. The academic streaming system may disrupt study/classroom connections, but its impact on students’ social networks is unknown. Using self-reported surveys, this study examines ego network measures of network sizes, turnover, multiplexity, and diversity among 382 students (44% female, 56% male). Surveys were administered before and after the university employed a first-semester grade-point average to demote or promote students into an honours college. Follow-up interviews were conducted with 11 honours students staying within their track and 11 students who were re-streamed to the non-honours track. Quantitative results showed that students in the non-honours college and who remained there had increasingly overlapping friendship circles between study and social environments, along with more diverse social connections, indicating stronger networks. In contrast, honours participants experienced fewer overlapping networks across domains and less dispersed social ties, especially after the academic replacement process. Qualitative results showed that the honours students faced a trade-off between academic success and social engagement in maintaining their elite status. Re-streamed students experienced otherness in social groups and decreased psychological wellbeing. This study contributes to the application of network analysis in education and provides insights into the unintended consequences of educational practice on students’ social networks.
Psychometric properties of principals’ attitudes toward inclusive education (PATIE) scale: Arabic version
Field: PSYCHOLOGY

Inclusive education is critical for the successful integration of students with disabilities into general education schools, and principals’ attitudes play a crucial role in this process. Despite the recognized significance of attitudes, there remains a gap in understanding these attitudes among principals in Arabic-speaking regions concerning inclusive education practices. This study aims to bridge this gap by validating and assessing the reliability of the Arabic version of the Principals’ Attitudes Toward Inclusive Education (PATIE) scale. To measure these attitudes in the Arab region, the current study validated and assessed the reliability of the Arabic version of the Principals’ Attitudes Toward Inclusive Education (PATIE) scale using a sample of 391 principals from schools that have in place inclusion programs for students with disabilities. Confirmatory factor analysis (CFA) was employed to validate the scale’s structural, discriminant, and convergent validity, while Cronbach’s alpha and composite reliability (CR) were utilized to evaluate the scale’s reliability. The results demonstrated the strong validity and reliability of the Arabic version of the PATIE, with all five factors displaying good reliability. These findings suggest that the scale can effectively measure attitudes toward inclusive education in Arabic-speaking countries. This study’s implications for research and practice are significant, as they underscore the importance of positive attitudes among principals in promoting inclusive education and provide a validated tool for measuring these attitudes.
Bibliometric Mining of Research Trends in Machine Learning
Field: AI

We present a method, including tool support, for bibliometric mining of trends in large and dynamic research areas. The method is applied to the machine learning research area for the years 2013 to 2022. A total number of 398,782 documents from Scopus were analyzed. A taxonomy containing 26 research directions within machine learning was defined by four experts with the help of a Python program and existing taxonomies. The trends in terms of productivity, growth rate, and citations were analyzed for the research directions in the taxonomy. Our results show that the two directions, Applications and Algorithms, are the largest, and that the direction Convolutional Neural Networks is the one that grows the fastest and has the highest average number of citations per document. It also turns out that there is a clear correlation between the growth rate and the average number of citations per document, i.e., documents in fast-growing research directions have more citations. The trends for machine learning research in four geographic regions (North America, Europe, the BRICS countries, and The Rest of the World) were also analyzed. The number of documents during the time period considered is approximately the same for all regions. BRICS has the highest growth rate, and, on average, North America has the highest number of citations per document. Using our tool and method, we expect that one could perform a similar study in some other large and dynamic research area in a relatively short time.