Miracle-dz/UniFAR-FTUs huggingface dataset:
BigDIVA and Networked Browsing: A Case for Generous Interfacing and Joyous Searching

This paper examines the potentialities of networked browsing , a form of faceted searching that visualizes digital archives in the form of a force-directed network graph. Using BigDIVA.org as an example of networked browsing, this paper presents the results of a small usability study that compared how participants ( N = 8) engaged with BigDIVA’s networked browsing in comparison to use of a search engine such as Google. In doing so, we situate our study within performative conceptualizations of human-computer interfaces [Drucker 2013] in order to explore the potential becomings when human and nonhuman machinic component are entangled together. Based on the observations from our usability study, we argue that networked browsing is suggestive of Whitelaw’s (2015) “generous interfacing” that emphasizes browsing as a tool for exploring relationships between nodes in archives, as well as Shneiderman’s (1996) “joyous experience” for interfacing with the web.
The doctor’s digital double: how warmth, competence, and animation promote adherence intention

Background Each year, patient nonadherence to treatment advice costs the US healthcare system more than $300 billion and results in 250,000 deaths. Developing virtual consultations to promote adherence could improve public health while cutting healthcare costs and usage. However, inconsistencies in the realism of computer-animated humans may cause them to appear eerie, a phenomenon termed the uncanny valley. Eeriness could reduce a virtual doctor’s credibility and patients’ adherence. Methods In a 2 × 2 × 2 between-groups posttest-only experiment, 738 participants played the role of a patient in a hypothetical virtual consultation with a doctor. The consultation varied in the doctor’s Character (good or poor bedside manner), Outcome (received a fellowship or sued for malpractice), and Depiction (a recorded video of a real human actor or of his 3D computer-animated double). Character, Outcome, and Depiction were designed to manipulate the doctor’s level of warmth, competence, and realism, respectively. Results Warmth and competence increased adherence intention and consultation enjoyment, but realism did not. On the contrary, the computer-animated doctor increased adherence intention and consultation enjoyment significantly more than the doctor portrayed by a human actor. We propose that enjoyment of the animated consultation caused the doctor to appear warmer and more real, compensating for his realism inconsistency. Expressed as a path model, this explanation fit the data. Discussion The acceptance and effectiveness of the animation should encourage the development of virtual consultations, which have advantages over creating content with human actors including ease of scenario revision, internationalization, localization, personalization, and web distribution.
PSI: A probabilistic semantic interpretable framework for fine‐grained image ranking

Image Ranking is one of the key problems in information science research area. However, most current methods focus on increasing the performance, leaving the semantic gap problem, which refers to the learned ranking models are hard to be understood, remaining intact. Therefore, in this article, we aim at learning an interpretable ranking model to tackle the semantic gap in fine‐grained image ranking. We propose to combine attribute‐based representation and online passive‐aggressive (PA) learning based ranking models to achieve this goal. Besides, considering the highly localized instances in fine‐grained image ranking, we introduce a supervised constrained clustering method to gather class‐balanced training instances for local PA‐based models, and incorporate the learned local models into a unified probabilistic framework. Extensive experiments on the benchmark demonstrate that the proposed framework outperforms state‐of‐the‐art methods in terms of accuracy and speed.
The Morphometric study of human fetal suprarenal glands at various gestational ages

Background: Suprarenal glands are unique endocrine glands that undergo structural modifications both in prenatal and postnatal life to reach the adult status. In recent years, studies were done on the morphology of fetal organs in various gestational ages in assessing the fetal growth. Objectives: The present study aims to study the morphometry of the suprarenal glands in human fetuses of various gestational age groups. Methods: Sixty suprarenal glands from 30 human fetuses of gestational age (14 to 36 weeks) of both sexes were studied. The parameters like shape, length, width, thickness and weight of the suprarenal glands were measured. The fetuses were divided into 6 groups (Group I to VI) based on their gestational age. The mean, standard deviation and range of each parameter were calculated. Correlation between the studied variables and gestational age was also done. Results: The mean, standard deviation and range of all the parameters in all groups and on both sides were determined and their difference in mean was found to be statistically significant. Pearson’s correlation between the gestational age and weight of the fetal suprarenal gland showed a significant positive correlation (p < 0.001). Conclusion: The results of this study may be useful to the obstetricians, perinatologists, nenatologists and radiologists to assess the age of the fetus based on the weight of the suprarenal glands. The knowledge of variations in the morphology of fetal suprarenal glands is important in the diagnosis of abnormalities of suprarenal glands and also in predicting the outcome of pregnancy. Keywords: Gestational age, Adrenal gland, Regression analysis, Correlation
Personality and Intelligence Interact in the Prediction of Academic Achievement

Personality predicts academic achievement above and beyond intelligence. However, studies investigating the possible interaction effects between personality and intelligence when predicting academic achievement are scarce, as is the separate investigation of broad personality factors versus narrow personality facets in this context. Two studies with 11th grade students (Study 1: N = 421; Study 2: N = 243) were conducted to close this research gap. The students completed the Intelligence-Structure-Test 2000 R measuring general reasoning ability, and a well-established personality inventory based on the Five Factor Model. Academic achievement was operationalized via Grade Point Average. Using hierarchical regression and moderation analyses, Study 1 revealed that Conscientiousness interacted with intelligence when predicting academic achievement: there was a stronger association between intelligence and academic achievement when students scored higher on the Conscientiousness scale. Study 2 confirmed the findings from Study 1 and also found a moderation effect of Neuroticism (stronger association between intelligence and academic achievement with lower values on the Neuroticism scale). Analyses at the facet level revealed much more differentiated results than did analyses at the domain level, suggesting that investigating personality facets should be preferred over investigating personality domains when predicting academic achievement.
Cone Beam Computed Tomography Assisted Immediate Implant Placement in Anterior Maxilla and Mandible

AIM : The aim of this study is to evaluate the accuracy of cone beam computed tomography and clinical outcome of immediately placed implants in anterior maxilla and mandible. MATERIALS AND METHODS: This is a prospective study conducted on patients who reported to the department of oral and maxillofacial surgery in Ragas Dental College, Chennai. A total of 10 patients with unsalvageable upper and lower anterior teeth were included in the study. The accuracy of cone beam computed tomography is assessed by comparing tooth and bone dimensions and clinical outcome was evaluated by radiographically by 3 month, 6month. RESULTS: The percentage of accuracy of cone beam computed tomography in assessing the width of the teeth is 98%, length of the teeth is 99.06%, labial bone thickness is 88.98% and palatal bone thickness is 97.14%. The clinical outcome is evaluated by Albrektsson’s criteria, where the mean marginal bone loss was 0.3 mm,9.09 % had periimplant radiolucency around implants, 9.09% had infection, all the implants exhibited good osseointegration and were asymptomatic. CONCLUSION: The implants placed into the extraction sockets will heal predictably and therefore cause reductions in the number of surgical interventions and in the total span of treatment time. In the present study, we got 98% accuracy in width of the tooth, 99.06% in measuring the length of the tooth, 88.98% in measurement of labial bone thickness and 97.14% in palatal bone thickness in the cone beam computed tomography by comparing clinically.
Gender Differences Associated with Adolescent Substance Abuse: Comparisons and Implications for Treatment.

Research on adult substance abusers has revealed a number of social and psychological differences between males and females that have important implications for treatment. Thus far, little attention has been paid to such gender differences in etiology, referral, and treatment among adolescent substance abusers. Data from 930 adolescents in treatment for substance abuse were analyzed to help clarify differences between male and female adolescent substance abusers. Several implications for understanding adolescent substance abuse and treatment are advanced.
Uninsured free clinic patients’ experiences and perceptions of healthcare services, community resources, and the Patient Protection and Affordable Care Act

Free clinics provide free or reduced fee healthcare to individuals who lack access to primary care and are socioeconomically disadvantaged. There has been a paucity of free clinic research with the few studies employing a quantitative design. The purpose of this study is to conduct an in-depth qualitative exploration of free clinic patients’ experience and perceptions of healthcare services, community resources, and the Patient Protection and Affordable Care Act (ACA). Free clinic adult patients (n=35) participated in four focus groups between June and July 2014 (one Spanish group in June, and two English groups and one Spanish group in July) in a classroom of a free clinic. More than 80% of the participants were non-US born from Mexico, Central/South America, South or East Asia, Pacific Islands, or Western Europe. While participants reported being satisfied overall with free clinic services, they indicated that they desire more specialty services and health education programs. Furthermore, they reported being frustrated by long waiting timesboth in the waiting room and when making an appointment, phone communication, and interpreter services. It is necessary to find effective ways to provide information about health education opportunities and the ACA to free clinic patients because participants appeared not to have received sufficient information about available resources. Health education programs for free clinic patients should not only focus on increasing knowledge but also changing behaviors.
Children’s Quality of Life in Europe: National Wealth and Familial Socioeconomic Position Explain Variations in Mental Health and Wellbeing—A Multilevel Analysis in 27 EU Countries

Sizeable variations in quality of life (QoL) and wellbeing according to socioeconomic status and national wealth have been observed. The assessment of children’s wellbeing may vary, depending on whether a parental or a child perspective is taken. Still, both perspectives provide important and valid information on children’s wellbeing. The Flash Eurobarometer no. 246 which was conducted for the European Commission assesses parents’ reports on their children’s health and wellbeing in 27 EU member states. Overall, 12,783 parents of 6–17-year-old children in the 27 EU states participated in telephone interviews. Parents reported children’s QoL and wellbeing using the KIDSCREEN-10 measure, as well as their occupational status and education level. Within a multilevel analysis, the KIDSCREEN-10 was regressed on parental occupation and education level. Random intercepts and slopes were regressed on gross domestic product per capita and income inequality. Low QoL was reported in 11.6% of cases, whereby cross-national variation accounted for 13% of the total variance in QoL. Children from countries with higher national wealth and lower income inequality were at lower risk for low QoL and wellbeing. Higher age of the child, a medium or low parental occupational status, and low parental educational status were associated with a higher risk for low QoL and wellbeing.
Intermittent Fasting During Ramadan Improves Insulin Sensitivity and Anthropometric Parameters in Healthy Young Muslim Men

The current study aimed to determine the effect of fasting during Ramadan on the metabolic profile, anthropometry, and serum leptin and adiponectin concentrations. Anthropometry and blood samples were examined at 2 phases: baseline (within 3 days of the start of the Ramadan fast) and end-line (in the last 3 days before the end of the Ramadan fast) in 27 healthy Muslim male participants who completed Ramadan fasting. Results demonstrate reductions in body weight (P < .001), body mass index (P < .001), fat mass (P = .003), muscle mass (P = .004), and waist circumference (P < .001) following reductions in energy intake (P = .003). Insulin sensitivity was improved. Serum insulin concentration and homeostatic model assessment of insulin resistance decreased significantly (P = .005 and P = .009). No significant change in fasting plasma glucose was observed. Correlation coefficients showed a significant correlation between the percentage changes in body weight and percentage changes in serum leptin concentration (r = 0.412; P = .037). These results demonstrate that intermittent fasting during Ramadan leads to beneficial effects by improving insulin sensitivity. It also resulted in a beneficial effect on weight and fat loss.
The Failure of Regeneration Traditional Pottery Handicraft

Traditional pottery crafts in rural areas generally take form home industry, containing local wisdom, and passed from one generation to the next through socialization in the family. However, the condition of the traditional pottery industry now no longer persists in Paseban Village. Based on these conditions, this research attempts to explain the cause and the regeneration failure through social practice perspective. This research employed a qualitative method (phenomenology) and interactive model of analysis. The results showed that the causes of regeneration failure were influenced by internal and external factors. Internal factors are the system of division of labor in the family, orientation changes, and socialized. Meanwhile, external factors are the scarcity of raw materials, job opportunities in other sectors, education, and decreased consumer interest. The process of regeneration failure occurs from social practices in habituation of family and community
¿En qué medida utilizan los estudiantes de Física de Bachillerato sus propios errores para aprender? Una experiencia de autorregulación en el aula de secundaria

En aquest article presentem els resultats d'una experiencia en autoregulacio del aprenentatge a l'aula de fisica de secundaria. L'objectiu principal d'aquesta investigacio es comprendre com els estudiants gestionen la informacio que els proporciona una prova escrita sobre els seus coneixements, aixi com valorar l'eficacia de l'autoregulacio que els estudiants duen a terme a posteriori. Hem trobat deficiencies importants en aquests processos i una relacio significativa entre l'exit escolar i aquests. Com a consequencia, observem la necessitat d'implementar a l'aula estrategies que permetin als estudiants no nomes l'analisi dels seus errors, sino tambe la presa de decisions adequades per utilitzar-los com un mitja per a l'aprenentatge.
Real-time fnirs brain input for enhancing interactive systems

Most human-computer interaction (HCI) techniques cannot fully capture the richness of the user’s thoughts and intentions when interacting with a computer system. For example, when we communicate with other people, we do not simply use words, but also accompanying cues that give the other person additional insight to our thoughts. At the same time, several physiological changes occur that may or may not be detected by the other person. When we communicate with computers, we also generate these additional signals, but the computer cannot sense such signals, and therefore ignores them. Detecting these signals in real time and incorporating them into the user interface could improve the communication channel between the computer and the human user with little additional effort required of the user. This communication improvement would lead to technology that is more supportive of the user’s changing cognitive state. Such improvements in bandwidth are increasingly valuable, as technology becomes more powerful and pervasive, while our cognitive abilities do not change considerably. In this dissertation, I explore using brain sensor data as a passive, implicit input channel that expands the bandwidth between the human and computer by providing supplemental information about the user. Using a relatively new brain imaging tool called functional near-infrared spectroscopy (fNIRS), we can detect signals within the brain that indicate various cognitive states. This device provides data on brain activity while remaining portable and non-invasive. This research aims to develop tools to make brain sensing more practical for HCI and to demonstrate effective use of this cognitive state information as supplemental input to interactive systems. First, I explored practical considerations for using fNIRS in HCI research to determine the contexts in which fNIRS realistically could be used. Secondly, in a series of controlled experiments, I explored cognitive multitasking states that could be classified reliably from fNIRS data in offline analysis. Based on these experiments, I created Brainput, a system that learns to identify brain activity patterns occurring during multitasking. It provides a continuous, supplemental input stream to an interactive human-robot system, which uses this information in real time to modify its behavior to better support multitasking. Finally, I conducted an experiment to investigate the efficacy of Brainput and found improvements in performance and user experience.
Comparison of effect of nifedipine, labetalol and methyldopa in treatment of hypertension in pregnancy in a tertiary care government hospital -

Background: To know the incidence & demographic aspects of hypertensive disorders in pregnancy and to compare effect of nifedipine, labetalol, methyldopa on various aspects of PIH such as control of BP, proteinuria, gestational age on admission & of delivery and maternal & perinatal outcome. Methods: Study was conducted in M.Y. Hospital, Indore for one year of period. Three groups each of 50 pts were given nifedipine, labetalol, and methyldopa. Groups were compared on basis of age, residence, parity, control of BP, proteinuria, gestational age of delivery maternal complication &perinatal outcome. Results: maximum patients were from younger age group and mostly are primigravida. Fall in systolic & diastolic BP is significant in all 3 groups. Incidence of decrease in albuminuria is max in labetalol group. Incidence of LSCS is maximum in nifedipine group. No statistically significant difference in three groups regarding foetal outcome. Conclusions: All three drugs are safe & effective drug in treatment of PIH. Labetalol is more effective in reducing albuminuria as compared to nifedipine & methyldopa.
Diversity control in a multi-objective genetic algorithm

We cover an investigation on the effects of diversity control in a multiobjective genetic algorithm (MOGA). Specifically, the diversity control operator used is based on the one developed for a diversity control oriented genetic algorithm (DCGA). The performance comparison between multiobjective genetic algorithms with and without diversity control is explored where different benchmark problems with specific multiobjective characteristics are utilised. The search performance of the multiobjective genetic algorithms is determined by inspecting the closeness of solutions to the true Pareto front, the uniformity in the solution distribution and the range of solutions in the objective space. The results indicate that the use of diversity control with specific parameter settings promotes the emergence of multiobjective solutions that are close to the true Pareto optimal solutions while maintaining a uniform distribution of the solutions along the Pareto front.
Constrained multicast routing in WDM networks with sparse light splitting

As WDM technology matures and multicast applications become increasingly popular, supporting multicast at the WDM layer becomes an important and yet challenging topic. In this paper, we study constrained multicast routing in WDM networks with sparse light splitting, i.e., where some switches are incapable of splitting light (or copying data in the optical domain). Specifically, we propose four WDM multicast routing algorithms, namely, Re-route-to Source, Re-route-to-Any, Member-First, and Member-Only. Given the network topology, multicast membership information, and light splitting capability of the switches, these algorithms construct a source-based multicast light-forest (consisting one or more multicast trees) for each multicast session. The performance of these algorithms are compared in terms of the average number of wavelengths used per forest (or multicast session), average number of branches involved (bandwidth) per forest as well as average number of hops encountered (delay) from a multicast source to a multicast member.
Evaluation Efficacy of HEART Score in Prediction of Major Advanced Cardiac Events in Patients with Chest Pain

1Department of Emergency Medicine, Mashhad University of Medical Sciences, Mashhad, Iran. 2Emergency Medicine Resident, Mashhad University of Medical Sciences, Mashhad, Iran. 3Social medicine Specialist, Mashhad University of Medical Sciences, Mashhad, Iran. 4Social medicine Resident , Mashhad University of Medical Sciences, Mashhad, Iran. 5Mashhad University of Medical Sciences, Mashhad, Iran. 6Department of Emergency Medicine, Alborz University of Medical Sciences, Karaj, Iran.