Miracle-dz/UniFAR-FTUs huggingface dataset:
Technology as a Social Companion? An Exploration of Individual and Product-Related Factors of Anthropomorphism

From chatbots that simulate human conversation to cleaning robots with anthropomorphic appearance, humanlike designed technologies become increasingly present in our society. A growing strand of research focuses on psychological factors and motivations influencing anthropomorphism, that is, the attribution of human characteristics to non-human agents and objects. For example, studies have shown that feeling lonely can come along with attributing anthropomorphic qualities to objects; others imply that anthropomorphism might influence individuals’ social needs in return. Such an interrelation could have great societal impact, if, for example, interacting with humanlike technology would reduce the need for interpersonal interaction. Yet, the interrelation between anthropomorphism and social needs has not been studied systematically and individual as well as situational preconditions of anthropomorphism have not been specified. The present research investigates the interrelation between anthropomorphism and social needs on the example of interacting with a smartphone and highlights possible preconditions by means of two experimental studies using a 2 × 2-between-subjects-design, varying social exclusion and anthropomorphism. Our first study (N = 159) showed an overall positive correlation between the willingness to socialize and perceived anthropomorphism. Our second study (N = 236) highlighted that this relationship is especially pronounced for individuals with a high tendency to anthropomorphize, given that the product supports a humanlike perception through its appearance and design cues. In sum, results support an interrelation between social needs and anthropomorphism but also stress individual and contextual strengthening factors. Limitations, theoretical, and practical implications are discussed.
The Frequency of Fibromyalgia in Migraine Patients

BACKGROUND: Fibromyalgia (FM) is a prevailing debilitating ailment that has been described in patients with migraines in several investigations. AIM: The study aimed to investigate the frequency of FM in migraine patients and to study the characteristics of migraine patients with comorbid FM. METHODS: This case–control study was piloted in the Neurology Unit, Department of Medicine in Ibn Sina Teaching Hospital in Mosul, Iraq, between March and November 2020. One hundred consecutive patients with migraine and 100 healthy controls were included in this study. The sociodemographic and headache characteristics of the patients were recorded. RESULTS: The frequency of FM was statistically higher among participants with migraines (27%) when compared to the controls (5%). Migraine patients with FM had a substantially older mean age and a higher ratio of female gender than migraine patients without FM. FM was found to be more common in patients without versus with aura. Patients with comorbid FM had greater headache frequency (p = 0.0002), headache intensity (p = 0.007), and higher scores on the “Headache Impact Test (HIT-6)” (p = 0.0001). CONCLUSIONS: There is a high frequency of FM in patients with migraines. Patients with coexistent “FM” and “migraine” tended to have more depressive symptoms, greater headache intensity, headache frequency, and when compared to healthy people, they are more likely to have a significant headache-related disability.
Banana Plant Disease Classification Using Hybrid Convolutional Neural Network

Banana cultivation is one of the main agricultural elements in India, while the common problem of cultivation is that the crop has been influenced by several diseases, while the pest indications have been needed for discovering the infections initially for avoiding the financial loss to the farmers. This problem will affect the entire banana productivity and directly affects the economy of the country. A hybrid convolution neural network (CNN) enabled banana disease detection, and the classification is proposed to overcome these issues guide the farmers through enabling fertilizers that have to be utilized for avoiding the disease in the initial stages, and the proposed technique shows 99% of accuracy that is compared with the related deep learning techniques.
The Scarcity–Prosociality Link: Ambiguous, Yet Thought-provoking

The present essay examines the scarcity–prosociality link, that is, the conditions in which scarcity leads to self-interest and competitiveness or to other-oriented prosociality and cooperativeness. Adopting a social-psychological approach, the findings of the major investigations of reactions to scarcity are summarised. These studies show both self-interest and prosociality as reactions to scarcity, depending on various mediating factors, although a scarcity mindset or limited-good perception is not revealed directly. This link needs to be interpreted in the light of social-psychological, cognitive, economic and cultural factors. In general, the scarcity–prosociality relationship is found to be ambiguous, yet thought-provoking. Some aspects that require detailed exploration and the multi-pronged implications of the scarcity–prosociality association for societal development are highlighted. It is suggested that effective coping with scarcity in resource-constrained economies will be possible if socialisation and social policies promote practices that enhance resource availability, encourage an optimal use of resources, and modify a competitive stance to a cooperative one, and a zero-sum game perception of resource exchange to one of non-zero-sum game.
SARS-CoV-2–Legionella Co-Infections: A Systematic Review and Meta-Analysis (2020–2021)

Legionnaires’ Disease (LD) is a severe, sometimes fatal interstitial pneumonia due to Legionella pneumophila. Since the inception of the SARS-CoV-2 pandemic, some contradictory reports about the effects of lockdown measures on its epidemiology have been published, but no summary evidence has been collected to date. Therefore, we searched two different databases (PubMed and EMBASE) focusing on studies that reported the occurrence of LD among SARS-CoV-2 cases. Data were extracted using a standardized assessment form, and the results of such analyses were systematically reported, summarized, and compared. We identified a total of 38 articles, including 27 observational studies (either prospective or retrospective ones), 10 case reports, and 1 case series. Overall, data on 10,936 SARS-CoV-2 cases were included in the analyses. Of them, 5035 (46.0%) were tested for Legionella either through urinary antigen test or PCR, with 18 positive cases (0.4%). A pooled prevalence of 0.288% (95% Confidence Interval (95% CI) 0.129–0.641), was eventually calculated. Moreover, detailed data on 19 co-infections LD + SARS-CoV-2 were obtained (males: 84.2%; mean age: 61.9 years, range 35 to 83; 78.9% with 1 or more underlying comorbidities), including 16 (84.2%) admissions to the ICU, with a Case Fatality Ratio of 26.3%. In summary, our analyses suggest that the occurrence of SARS-CoV-2–Legionella infections may represent a relatively rare but not irrelevant event, and incident cases are characterized by a dismal prognosis.
Chasing the conversation: Autistic experiences of speech perception

Background and aims Humans communicate primarily through spoken language and speech perception is a core function of the human auditory system. Among the autistic community, atypical sensory reactivity and social communication difficulties are pervasive, yet the research literature lacks in-depth self-report data on speech perception in this population. The present study aimed to elicit detailed first-person accounts of autistic individuals’ abilities and difficulties perceiving the spoken word. Methods Semi-structured interviews were conducted with nine autistic adults. The interview schedule addressed interviewees’ experiences of speech perception, factors influencing those experiences, and responses to those experiences. Resulting interview transcripts underwent thematic analysis. The six-person study team included two autistic researchers, to reduce risk of neurotypical ‘overshadowing’ of autistic voices. Results Most interviewees reported pronounced difficulties perceiving speech in the presence of competing sounds. They emphasised that such listening difficulties are distinct from social difficulties, though the two can add and interact. Difficulties were of several varieties, ranging from powerful auditory distraction to drowning out of voices by continuous sounds. Contributing factors encompassed not only features of the soundscape but also non-acoustic factors such as multisensory processing and social cognition. Participants also identified compounding factors, such as lack of understanding of listening difficulties. Impacts were diverse and sometimes disabling, affecting socialising, emotions, fatigue, career, and self-image. A wide array of coping mechanisms was described. Conclusions The first in-depth qualitative investigation of autistic speech-perception experiences has revealed diverse and widespread listening difficulties. These can combine with other internal, interpersonal, and societal factors to induce profound impacts. Lack of understanding of such listening difficulties – by the self, by communication partners, by institutions, and especially by clinicians – appears to be a crucial exacerbating factor. Many autistic adults have developed coping strategies to lessen speech-perception difficulties or mitigate their effects, and these are generally self-taught due to lack of clinical support. Implications There is a need for carefully designed, adequately powered confirmatory research to verify, quantify, and disentangle the various forms of listening difficulty, preferably using large samples to explore heterogeneity. More immediate benefit might be obtained through development of self-help and clinical guidance materials, and by raising awareness of autistic listening experiences and needs, among the autistic community, communication partners, institutions, and clinicians.
Commemorating by Marching: Memorialization and Resistance Practices of the Srebrenica Genocide

Abstract Using the case-study of the Marš Mira, a peace march to commemorate the Srebrenica genocide of July 1995, this article explores how practices of memorialization of genocide and resistance against denial of genocide intersect, in order to gain more insight into the challenges post-conflict societies face. The march retraces the steps that the Bosniak men and boys took while fleeing the Serb army after the fall of the Srebrenica enclave. It is a powerful means of commemorating the genocide and, as such, highlights the importance of space within memorialization. Simultaneously, walking the march serves as an act of resistance to Serb narratives of denial. We argue that resistance against genocide denial and memorialization of the genocide are intricately interwoven in the incentives of Bosniaks participating in the annual Marš Mira, and that they manifest themselves in the use of the landscape in which the march takes place. Through an analysis of four incentives for walking the Marš Mira, we shed light on the challenges that Serb denialism poses to the ability of the Bosniak community to deal with the past of the Srebrenica genocide.
A Deep Learning Model for Cervical Cancer Screening on Liquid-Based Cytology Specimens in Whole Slide Images

Simple Summary In this pilot study, we aimed to investigate the use of deep learning for the classification of whole-slide images of liquid-based cytology specimens into neoplastic and non-neoplastic. To do so, we used a large training and test sets. Overall, the model achieved good classification performance in classifying whole-slide images, demonstrating the promising potential use of such models for aiding the screening processes for cervical cancer. Abstract Liquid-based cytology (LBC) for cervical cancer screening is now more common than the conventional smears, which when digitised from glass slides into whole-slide images (WSIs), opens up the possibility of artificial intelligence (AI)-based automated image analysis. Since conventional screening processes by cytoscreeners and cytopathologists using microscopes is limited in terms of human resources, it is important to develop new computational techniques that can automatically and rapidly diagnose a large amount of specimens without delay, which would be of great benefit for clinical laboratories and hospitals. The goal of this study was to investigate the use of a deep learning model for the classification of WSIs of LBC specimens into neoplastic and non-neoplastic. To do so, we used a dataset of 1605 cervical WSIs. We evaluated the model on three test sets with a combined total of 1468 WSIs, achieving ROC AUCs for WSI diagnosis in the range of 0.89–0.96, demonstrating the promising potential use of such models for aiding screening processes.
Fine 3D neutronic characterization of a gas-cooled fast reactor based on plate-type sub- assemblies

CEA neutronic studies have allowed the definition of a first 2400 MWth reference gas-cooled fast reactor core using plate-type sub-assemblies, for which the main neutronic characteristics were calculated by the so-called ERANOS 'design calculation scheme' relying on several method approximations. The last stage has consisted in a new refine characterization, using the reference calculation scheme, in order to confirm the impact of the approximations of the design route. A first core lay-out taking into account control rods was proposed and the reactivity penalty due to the control rod introduction in this hexagonal core lay-out was quantified. A new adjusted core was defined with an increase of the plutonium content. This leads to a significant decrease of the breeding gain which needs to be recovered in future design evolutions in order to achieve the self breeding goal. Finally, the safety criteria associated to the control rods were calculated with a first estimation of the uncertainties. All these criteria are respected, even if the safety analysis of GFR concepts and the determination of these uncertainties should be further studied and improved. (authors)
Depression: Determinants That Influence the Mental Health of Older People (60 Years +) in Botswana

Correlates of depression in older people were explored in this study. The prevalence of depression was also calculated. Data were collected using a cross-sectional study stratified by district in urban and rural Botswana using the Patient Health Questionnaire. A snowballing technique was utilized to recruit older participants (N = 378; age = 71.8; SD = 9.1) with low to high incomes. Univariate and multivariate analyses were used to investigate the associations among demographics, individual, social, and environmental factors, and depression. The prevalence of depression and social impairment in older people was 7.8% and 20.6%. The correlates significantly associated with depression in Model 2 were education, income earned, resilience, and self-esteem (F (6, 358) = 19.5, p < . 001; R2 = 23%) after adjusting for all influencing factors. Self-perceived health was associated with depression in Model 3 [F (11,340) = 12.5, p < . 001; R2 = 28%]. In the final model, resilience, quality of life (QOL), and leisure were significantly associated with depression (p < .001), followed by anxiety, somatic symptoms, and social impairment (p < .05) [F (20,214) = 9.2, p < . 001; R2 = 46%]. Findings provide preliminary information on the determinants of depression for further review by the research community. Stakeholders should also take cognizance of these correlates during their practice to curb depression in older people.
An Analysis of Forms and Effects of Workplace Harassments on the Female Students’ during the Industrial Internship Program in the Hotel

The gap competence between the vocational colleges’ graduates and the needs of the industrial world is a crucial problem that must be minimized immediately. Dealing with the previous phenomenon, the government brings up a program called industrial internship. In line with the earlier policy, Politeknik Negeri Jember, as one of the vocational colleges, requires an industrial internship program. Various industrial places are offered to the students. One of them is in the hotel. However, during the program's implementation, the problems related to workplace harassment are faced by the students, especially the female ones. This case leads to a problematic situation. The further implication, the goal to fill the gap competence will be far from the reach. To cope with the preceding dilemma, this qualitative paper aimed to describe the forms and effects of workplace harassment experienced by female students during the industrial internship in hotels. Sixty-seven female students and graduates were involved as participants. The questionnaire was used to collect the data. Based on the analyzed data, it can be summarized that: 1) there are two forms of workplace harassment on the female students, which are direct and indirect, and 2) there are three effects of workplace harassment on the female students, which are devouring lesser moral value, having lower work performance and the changing of employment status. By briefly describing the two results, it is expected that the workplace harassment experienced by female students during the implementation of industrial internships can drag the policymaker's attention to be promptly lessened and solved.
Effects of Prosocial Video Games on Prosocial Thoughts and Prosocial Behaviors

In this study, we examined the prosocial video game (PVG) versus neutral video game (NVG) effects on children’s prosocial behaviors. The first objective is to rate and choose the PVG and NVG by 67 experts. The second objective is to test whether playing a PVG can increase prosocial thoughts and behaviors. The third objective is to test the gender effects on prosocial thoughts and behaviors. The final objective is to assess the mediation effect of prosocial thoughts on prosocial behaviors. One hundred and 76 children (50% girls; Mage = 4.89, SD = 0.79) recruited from a Chinese kindergarten participated in the 2 (Game) x 2 (Gender) factorial experiment. Half of them were randomly assigned to play a PVG or an NVG for 20 minutes. Prosocial thoughts were measured by reaction time (RT) to prosocial pictures in the Picture Decision Task (PDT), while prosocial behaviors were measured by difficulty of jigsaw chosen for the “virtual components” in the Tangram Jigsaw Task (TJT). Results were that brief exposure of children to a PVG increased their prosocial thoughts and prosocial behaviors. More precisely, boys reported higher accessibility of prosocial thoughts and more prosocial behaviors than girls. The PVG effect on prosocial behaviors was mediated by prosocial thoughts. These findings suggest that increasing PVG exposure and training prosocial thoughts were effective ways to promote the positive development of prosocial behavior during early childhood.
Examining Day-to-Day Dynamic Transit Accessibility Using Functional Data Analysis

Measurements of transit accessibility have been used to evaluate the interactions between transit networks and land use and, more recently, to identify marginalized neighborhoods in need of transportation services to support urban policymaking, transportation planning, and the evaluation of transit systems. Because transit systems are dynamic and their weekly use patterns have high temporal variation, their accessibility is also highly variable across days. In this study, we propose a set of dynamic transit accessibility measures that examine the temporal fluctuations of accessibility by public transit modes. To this end, we employ a novel approach of the functional data analysis that takes cross-area time-dependent curves fitted from the daily accessibility values. We examine Seoul’s intermodal integrated transit system to measure dynamic transit accessibilities to capture the heterogeneity of day-to-day fluctuations in accessibility over the course of a week across neighborhoods. The spatial representation of the dynamic transit accessibilities and the clusters based on the measures reveal an urban structure on which neighborhoods are differentiated by temporal fluctuations of accessibility, not just by a traditional concentric urban pattern of accessibility.
Gangster school: The role of the school environment in gang recruitment strategies in Port Elizabeth, South Africa

Gangs and gang violence continue to be serious challenges throughout South Africa, but especially in cities such as Cape Town and Port Elizabeth. In the northern areas of Port Elizabeth, hardly a day goes by without at least 1 report in the local news media about gang-related incidents. Most of the gangs in the northern areas have organised and relatively sophisticated recruitment strategies that they use to recruit new members. Various factors contribute to the gravitation of most youths to the gang lifestyle. With this article I seek to examine 1 of those factors, namely the school environment. I argue that various factors affecting the school environment make it possible for gangs to target school-going youths for recruitment. The article is based on both the literature and the use of primary data from my research into gangs in the northern areas of Port Elizabeth. The article concludes with some recommendations on how to combat gang recruitment in the school environment.
Hydrothermal Treatment Effect on Antioxidant Activity and Polyphenols Concentration and Profile of Brussels sprouts (Brassica oleracea var. gemmifera) in an In Vitro Simulated Gastrointestinal Digestion Model

Brussels sprouts are a source of polyphenolic compounds. However, their concentration is affected by many factors depending on the plant material, hydrothermal treatment methods and digestion in the gastrointestinal tract. The aim of this study was to determine the effect of hydrothermal treatment on the antioxidant activity, concentration and profile of polyphenols of Brassica oleracea var. gemmifera in an in vitro simulated gastrointestinal digestion model. The study showed a significant effect of the type of hydrothermal treatment on total polyphenol concentration, polyphenolic acid profile, flavonoid content and antioxidant activity. Traditional boiling in water was the least effective type of hydrothermal treatment with respect to bioactive components of Brussels sprouts. Sous-vide was the most effective hydrothermal treatment in terms of retention of polyphenolic compounds and high antioxidant activity, thus providing a better alternative to steam cooking. Using an in vitro model, a significant difference was demonstrated between the concentration of bioavailable polyphenolic compounds and the polyphenol content of the plant material before digestion. The influence of the type of hydrothermal treatment used on the concentration of bioavailable polyphenolic compounds was maintained in relation to material not subjected to in vitro digestion (except for antioxidant activity).