Miracle-dz/UniFAR-FTUs huggingface dataset:
A clinical and epidemiological study of non-venereal genital dermatoses: A cross-sectional, hospital-based study from Nepal

Background: Non-venereal genital dermatoses are the conditions of the genitalia that are not transmitted sexually. They may be confused with venereal diseases and be responsible for concerns among patients as well as diagnostic dilemmas for physicians. This study was conducted to determine the prevalence and describe the patterns of non-venereal genital conditions. Methods: This was a hospital-based, cross-sectional, prospective study conducted in a tertiary center in Kathmandu, Nepal, over a period of one year. Non-probability purposive sampling was employed to select the samples. Two hundred patients were enrolled in the study. Ethical approval was taken prior to the study. Detailed history taking along with a complete cutaneous examination were conducted for all patients and recorded in a preformed proforma. Results: Among 21366 patients, two hundred patients had non-venereal genital dermatoses. The prevalence of non-venereal dermatoses was 0.93 %. The mean age of the patient was 29.5 ± 15 years, ranging from 2 months to 81 years. The male-to-female ratio was 2.7:1. Itching was the most common presentation (46%). Fifty-four different types of non-venereal diseases were encountered and classified into inflammatory lesions (n = 84; 42%), infections and infestations (n = 43; 21.5%), normal variants and benign abnormalities (n = 41; 20.5%), and miscellaneous (n = 21; 10.5%). The most common were, among inflammatory dermatoses, drug reactions (11.5%) and eczema (6.5%) and, among infections and infestations, scabies (9.5%) and fungal infections (7.5%). Conclusion: Non-venereal genital dermatoses are important yet less common dermatological conditions. A number of patients have misconceptions about them as venereal. A comprehensive study of non-venereal dermatological genital conditions is required for careful management to minimize morbidity.
GCSANet: A Global Context Spatial Attention Deep Learning Network for Remote Sensing Scene Classification

Deep convolutional neural networks have become an indispensable method in remote sensing image scene classification because of their powerful feature extraction capabilities. However, the ability of the models to extract multiscale features and global features on surface objects of complex scenes is currently insufficient. We propose a framework based on global context spatial attention (GCSA) and densely connected convolutional networks to extract multiscale global scene features, called GCSANet. The mixup operation is used to enhance the spatial mixed data of remote sensing images, and the discrete sample space is rendered continuous to improve the smoothness in the neighborhood of the data space. The characteristics of multiscale surface objects are extracted, and their internal dense connection is strengthened by the densely connected backbone network. GCSA is introduced into the densely connected backbone network to encode the context information of the remote sensing scene image into the local features. Experiments were performed on four remote sensing scene datasets to evaluate the performance of GCSANet. The GCSANet achieved the highest classification precision on AID and NWPU datasets and the second-best performance on the UC Merced dataset, indicating the GCSANet can effectively extract the global features of remote sensing images. In addition, the GCSANet presents the highest classification accuracy on the constructed mountain image scene dataset. These results reveal that the GCSANet can effectively extract multiscale global scene features on complex remote sensing scenes. The source codes of this method can be foundin https://github.com/ShubingOuyangcug/GCSANet.
Changes in Student Attitudes toward Interprofessional Education after
 Online and In-Person Introductory Learning Activities

INTRODUCTION Although introductory interprofessional education (IPE) experiences offered in a variety of formats can be beneficial to students, there is little research evaluating students’ attitudes throughout a sequence of introductory IPE activities. Further, the impact of academic level, gender and race on student attitudes about IPE is not known, particularly when students from a diverse range of health profession programs participate together in introductory IPE experiences. METHODS A sequenced, two-part introductory IPE experience comprising a 90 minute online module followed by a 2-hour face-to-face event was delivered to health science students on three campuses at a large Midwestern university. Student attitudes about IPE based on SPICE-R2 scores were compared before and after the online module and after the in-person event. Paired t-tests were used to determine differences between time points, and linear regression was used to estimate the effects of academic level, gender and race. RESULTS The online course had a significant, positive impact on all students’ attitudes about IPE with the greatest changes for the Roles subdomain.
PERMIAN NON-MARINE BIVALVES FROM THE COLLIO AND GUNCINA FORMATIONS (SOUTHERN ALPS, ITALY): REVISED BIOSTRATIGRAPHY AND PALAEOBIOGEOGRAPHY

Non-marine bivalves are key fossils in Permian continental stratigraphy and palaeogeography. Although known since the end of 19th century, the occurrences from the continental basins of the Southern Alps have never been extensively studied. The non-marine bivalves from the Lower Permian Collio Formation (Brescian pre-Alps) are herein revised, and those from the Guncina Formation (Athesian District) are described for the first time. These two units yielded non-marine bivalves belonging to the genus Palaeomutela sensu lato, which is widespread in the Permian continental successions of eastern Euramerica. Three Palaeomutela morphotypes have been herein described: oval-subtriangular, subtrapezoidal and elongated. The latter includes several specimens herein assigned to Palaeomutela (Palaeanodonta) berrutii sp. nov. and dominates the Collio Formation association. The Guncina Formation yielded also the genus Redikorella, for the first time co-occurring on the same stratigraphic horizon of Palaeomutela, herein assigned to Palaeomutela (Palaeanodonta) guncinaensis sp. nov. To-date, it was generally accepted that the first members of the genera Palaeomutela and Redikorella occurred during the Ufimian (late Kungurian of the global scale) in the non-marine basins of the Cis-Ural Foredeep and of Angara, respectively. Such new finds in the early-middle Kungurian of southwestern Europe, well constrained by radioisotopic dating, suggest new global first appearance (First Appearance Datum) and a possible new center of origin of these genera. This fact raises new questions on biostratigraphy, palaeobiogeography and palaeoecology, which will require further research. If we assume that the genera Palaeomutela and Redikorella had only one center of origin, we need to hypothesise possible migration routes from SW Europe to the continental basins of Eastern Europe and Angara. Apparently, such migration could be better supported by a Pangaea B palaeogeographic configuration.
Nonlinear Thermopower Behaviour of N-Type Carbon Nanofibres and Their Melt Mixed Polypropylene Composites

The temperature dependent electrical conductivity σ (T) and thermopower (Seebeck coefficient) S (T) from 303.15 K (30 °C) to 373.15 K (100 °C) of an as-received commercial n-type vapour grown carbon nanofibre (CNF) powder and its melt-mixed polypropylene (PP) composite with 5 wt. % of CNFs have been analysed. At 30 °C, the σ and S of the CNF powder are ~136 S m−1 and −5.1 μV K−1, respectively, whereas its PP/CNF composite showed lower conductivities and less negative S-values of ~15 S m−1 and −3.4 μV K−1, respectively. The σ (T) of both samples presents a dσ/dT < 0 character described by the 3D variable range hopping (VRH) model. In contrast, their S (T) shows a dS/dT > 0 character, also observed in some doped multiwall carbon nanotube (MWCNT) mats with nonlinear thermopower behaviour, and explained here from the contribution of impurities in the CNF structure such as oxygen and sulphur, which cause sharply varying and localized states at approximately 0.09 eV above their Fermi energy level (EF).
Bringing inside-out online: coming together in a virtual environment

Abstract Inside-Out courses bring together traditional campus-based students and incarcerated students to learn alongside one another in a correctional setting. This novel approach to the delivery of educational programming has recognized benefits for both inside and outside students. This past year, the COVID pandemic prevented non-essential staff, such as college instructors, from physically entering correctional institutions. While most colleges and universities continued to provide educational services to its campus-based students virtually, they were prohibited from doing the same with their incarcerated students. The majority of correctional institutions have been resistant to using this technology because of security concerns, even though with proper planning, such programming can be provided successfully and safely. Although most Inside-Out programs were canceled during the Coronavirus pandemic, this article profiles one program that was able to continue virtually through the use of internet-based services at the Westchester County Department of Correction. Data from this feasibility study suggest that a virtual pedagogical approach has the ability to create positive learning experiences for inside and outside students. Results imply that increased programmatic opportunities could be available to more correctional institutions, even post-COVID, if correctional staff are open to the implementation of internet-based technology and willing to work collaboratively with outside program providers.
CELLULAR NETWORKS PROVIDING DISTRIBUTION GRID COMMUNICATIONS PLATFORM

This paper concentrates on studying the latest cellular network technologies in connection with distribution grid protection and fault location applications. It introduces recent 5G deployment options and their state through performance and QoS tests in two commercial mobile operators' networks. The tests are performed with line differential relays, merging units, and substation protection and control device in a closed loop real-time simulation environment. Connectivity to a cellular 5G network is established with commercial 5G routers and devices. The communication performance and reliability are assessed using dedicated software tools.
Overview of common practices in calf raising facilities

Abstract In this literature review, we overview some of the common management practices associated with calf rearing in specialized operations of the United States. Given the growing importance of dairy-beef calves entering the beef production of the United States, we overview aspects related to housing, nutrition, and health events during the pre- and post-weaning period. Based on data on dairy animals, we hypothesize how early life experiences could impact the feedlot performances of dairy-beef animals. Most of the large calf raising operations, where the majority of dairy-beef animals are raised, are located in the Central Great Plains and West regions of the United States. Approximately 80% of calves are individually housed, but the type of housing (e.g., outside hutch, inside a barn) varies based on location of calf-raising facilities. Milk-replacer is fed in more than 80% of operations, while milk (saleable or nonsaleable) is fed in approximately 30% of calf raising facilities (some operations fed more than one type of liquid diet). In addition to liquid feed, water and calf starter are offered ad libitum to calves. Adequate starter intake at weaning is crucial for feed transition from pre- to post-weaning period, which occurs at approximately 2 months of age. Then, calves are mainly housed in group pens and transition from calf-starter to total mixed ration (TMR). Health challenges such as scours and bovine respiratory disease (BRD) can hinder the performance of calves and are major causes of morbidity and mortality in calf ranches. Transportation at a very young age and comingling with animals from other dairies can increase the risk of diseases. Current research efforts are focusing on determining individual factors such as body weight (BW) at arrival or biomarkers of inflammation and stress that can be predictive of disease morbidity, mortality, and performance of calves. Future research should focus on how to utilize this information to optimize management and to develop targeted preventative strategies to reduce incidence of diseases and mortality and improve performance during the pre-weaned period. Also, more research is needed to understand how colostrum management, housing, and nutrition can impact the adult performance of dairy-beef animals.
Evaluation of failed implants and reimplantation at sites of previous dental implant failure: survival rates and risk factors

Purpose The purpose of this study was to evaluate failed implants and reimplantation survival and to identify the relative risk factors for implant re-failure. Methods Ninety-one dental implants were extracted between 2006 and 2020 at the National Health Insurance Service Ilsan Hospital, including 56 implants in the maxilla and 35 implants in the mandible that were removed from 77 patients. Patient information (e.g., age, sex, and systemic diseases) and surgical information (e.g., the date of surgery and location of the implants and bone grafts) were recorded. If an implant prosthesis was used, prosthesis information was also recorded. Results In total, 91 first-time failed dental implants in 77 patients were analyzed. Of them, 69 implants in 61 patients received reimplantation after failure. Sixteen patients (22 implants) refused reimplantation or received reimplantation at a different site. Eight of the 69 reimplants failed again. The 1-year survival rate of the 69 reimplants was 89.4%. Age at reimplantation and smoking significantly increased the risk of reimplantation failure. However, a history of taking anti-thrombotic agents showed a statistically significant negative association with reimplantation failure. Of the failed implants, 66% showed early failure and 34% showed late failure of the initial implantation. All 8 re-failed implants showed early failure. Only 3 of these 8 failed reimplants were re-tried and the second reimplants all survived. Conclusions The total survival rate of implants, which included reimplants and second reimplants was 99.2%, although the survival rate of the initial implantations was 96.3%. Previous failure did not affect the success of the next trial. Reimplantation failure was more strongly affected by patient factors than by implant factors. Therefore, each patient’s specific factors need to be meticulously controlled to achieve successful reimplantation.
A Trisection Algorithm for Estimating Distance Measures for Strong Observability and Strong Detectability

For reliably analyzing the properties of strong observability and strong detectability of a system, continuous distance measures can be used. When calculating these measures, it is necessary to find the global minimum of a nonconvex target function. The main contribution of this article is an optimization algorithm that guarantees to find this global minimum in a fast and efficient way by exploiting the special structure of the optimization problem. Using this optimization algorithm, the distance measures can be reliably calculated. The numerical properties and the usefulness of the algorithm in practical applications are illustrated by means of a numerical example.
The “Jewish premium”: attitudes towards Jewish and non-Jewish immigrants arriving in Israel under the Law of Return

ABSTRACT This paper examines discriminatory attitudes of Israeli Jews towards non-Jewish immigrants admitted into Israel under the Law of Return. We looked at three spheres of discrimination: admission, political rights, and welfare rights and focused on the role of realistic socioeconomic and symbolic threats in the emergence of discriminatory attitudes. We used a mixed-methods approach that allowed to test our hypotheses among a representative sample (survey) and examine the logics underlying the respondents’ justifications for endorsing discrimination (focus groups/in-depth interviews). The findings show that discrimination endorsement is strongest in the case of admission and political rights where Israeli Jews seek to prevent the presence of outgroups and deny them the right to become part of the society. By contrast, discrimination with respect to welfare rights is less pronounced – possibly because it is not viewed as awarding membership in society, but rather providing individuals their basic needs based on universalistic or democratic values.
A Noncentral Lindley Construction Illustrated in an INAR(1) Environment

This paper proposes a previously unconsidered generalization of the Lindley distribution by allowing for a measure of noncentrality. Essential structural characteristics are investigated and derived in explicit and tractable forms, and the estimability of the model is illustrated via the fit of this developed model to real data. Subsequently, this model is used as a candidate for the parameter of a Poisson model, which allows for departure from the usual equidispersion restriction that the Poisson offers when modelling count data. This Poisson-noncentral Lindley is also systematically investigated and characteristics are derived. The value of this count model is illustrated and implemented as the count error distribution in an integer autoregressive environment, and juxtaposed against other popular models. The effect of the systematically-induced noncentrality parameter is illustrated and paves the way for future flexible modelling not only as a standalone contender in continuous Lindley-type scenarios but also in discrete and discrete time series scenarios when the often-encountered equidispersed assumption is not adhered to in practical data environments.
Social Media Strategy to Improve Brand Image: in the Context of Students’ Decision Making

This study aims to examine and analyze the influence of social media on brand image and student decision-making. This study involved as many as 210 students from the health sciences and business studies program. Of the total 210 data obtained, the remaining 202 data can be used for further testing and data analysis, this is because there are a number of data that are categorized as outliers so that they must be eliminated. This study is a quantitative research category using a survey approach as a method of data collection. Then, regarding the process of testing and analyzing data, this study uses a structural equation modeling (SEM) approach with AMOS software. The findings of this study confirm that social media has a significant positive effect on brand image and decision making, besides that brand image has a positive and significant effect on student decision making. The findings of this study make a positive contribution to the development of science, especially in the field of marketing strategies through social media in improving brand image and decision making. The findings of this study are expected to make a practical contribution to increasing product competitiveness and consumer confidence.
Building GIS Platforms for Spatial Business: A Focus on the Science of Maximizing Location Intelligence Benefits Through Risk/Cost Management

A scientific decision model is simulated for rigorously aggregating weighted risks and costs for lower-order risk factors established by Tomlinson for planning GIS (Geographic Information System) implementations. The basic assumption of the paper is that generally, management practitioners do not estimate risk with the required quantitative rigor during the planning phases. Examples include: (a) lack of Johari window risk mapping and assessment (b) subjective versus Delphi method judgmental probabilities (c) violation of Lusser’s law (d) failure to utilize Galton’s estimation (e) incorrect weighting (if at all) (f) doubtful risk aggregation techniques for summarized likelihoods and (g) ad hoc decision making without Bayesian logic. For organizations competing in a global economy, strong decision models lead to management decision-making options in the creation of value from location awareness and proximity intelligence capabilities. Results are simulated and discussed with reference to future potential research.
NAFTNet retrospective report on the treatment of anti-Ro/SSA mediated fetal heart block with dexamethasone

Abstract Background Complete atrioventricular block (CAVB) is a complication of maternal antibody positivity and treatment of fetal disease is controversial in terms of efficacy and safety. We hypothesized that dexamethasone treatment for fetal anti-Ro/SSA antibody-mediated cardiac disease leads to better pregnancy outcomes than expectant management. Methods A retrospective multi-center cohort study of anti-Ro/SSA antibody positive pregnancies with fetal conduction disease reported by participating North American Fetal Therapy Network (NAFTNet) centers between January 2010 and December 2018. The primary outcomes included: fetal death, oligohydramnios, growth restriction, preterm delivery, and new maternal comorbidities. Secondary outcomes included: pacemaker prior to 28 days, transplantation, and neonatal death in maternal/fetal dyads treated with dexamethasone versus not. Results In 127 anti-Ro/SSA positive pregnancies, 98 were treated with dexamethasone and 29 were not. Of those treated, 61/96 (63.5%) met the primary outcome including 45/91 (49.4%) premature deliveries; 20 mothers developed comorbidities during treatment (fetal death 5, 10 growth restriction, 14 oligohydramnios, two new/worsening gestational diabetes). In the untreated group, 15/25 (60%) met the primary outcome including 11/22 (50%) premature deliveries and four mothers developing comorbidities during their pregnancy (fetal death 3, one growth restriction, one new onset maternal hypertension). Regarding secondary outcomes, 37/96 (43%) treated fetuses required a pacemaker or died by 28 days, while untreated 13/25 (52%) required pacemaker placement, died prior to 28 days or required listing for transplantation. Excluding terminations, survival without transplant was 17 (68%) in untreated and 85 (89%) in treated patients (p<.01). Conclusions While the use of dexamethasone in anti-Ro/SSA positive pregnancies is associated with a high rate of poor pregnancy outcomes, there was an unexpected similarly high rate in untreated positive pregnancies. This suggests that the maternal disease itself is influencing pregnancy complications independent of dexamethasone. Our data, which show that treatment decreases neonatal morbidity and overall mortality without increasing overall pregnancy complications, warrant further study.
Isolated pilomatricoma of the arm: A case and a review of the literature

Pilomatricoma is a relatively rare tumor of the skin derived from primitive basal cells of the epidermis that differentiate into hair matrix cells. These tumors appear as solitary, firm nodules, showing a normal to pearl white epidermis. Its most frequent locations are the head and neck, while involvement of the upper extremities is relatively uncommon. Herein, we present the case of a seventeen-year-old female with pilomatricoma of the arm and review the literature regarding pilomatricomas of the upper extremities. The diagnosis of pilomatricoma is confirmed histologically and its treatment is based on surgical excision. Because of the low incidence and variable clinical presentation, pilomatricoma is a tumor not commonly suspected preoperatively. This presentation may help clinicians to diagnose this entity more effectively and decrease the rate of misdiagnosis.