Miracle-dz/UniFAR-FTUs huggingface dataset:
Protective and risk factors for adolescents in a residential school setting

Approximately 50% of all American children and adolescents are currently at risk for developing personal and social problems (Weissberg, 1990). As a nation, how are we responding to this situation? Under the large umbrella of educational reform one option being debated is removing at-risk children living in poverty from their homes and placing them in residential educational facilities. Despite the rhetoric being exchanged, little empirical evidence exists that directly investigates the effects of removing children and adolescents from their homes. This study investigated the protective and risk factors associated with the resiliency, achievement, and adjustment of adolescents from low income home environments attending a residential school. The first question examined what combination of protective/risk factors predict adolescent achievement. The second question explored the ability of various protective/risk factors to predict membership into an academic/behavioral protective or at-risk group. The third question examined the relationship among intraindividual factors and perceived adjustment to the residential school. Content analysis of two survey questions also revealed themes relevant to the adjustment process and feelings about being at a residential school. , Results of the study supported the resiliency literature that attributes the adolescent resiliency trajectory to the combination and interaction of various intraindividual, familial, and contextual factors. Gender-difference findings suggest that possibly male and female adolescents are differentially affected by the interactions of various protective/risk variable combinations. The female students performed better than their male classmates on general cognitive ability, and academic achievement, effort, and conduct. Conversely, male students experienced significantly more difficulty across behavioral categories; they accumulated more residential disciplines and more academic detention points in comparison to their female classmates. Another finding addressed the value of relationships and the necessity of familial and school supportive systems to promote adolescent achievement, adjustment, and resiliency. Results revealed the importance family plays in adolescent resiliency. Attending a residential school appeared to be related to other familial and contextual factors, the students who attend the school for a longer period of time visit more frequently with family members. The most salient theme that emerged was the importance of familial and contextual factors on the adjustment, achievement, and resiliency of adolescents, particularly as related to relationships and supportive systems. Clearly, adolescents respond in the direction of resiliency when the protective factors of family and school supportive systems are a part of the adolescents' lives. In combination with other protective factors influencing their development, adolescents who have supportive systems appear to be on a trajectory toward resiliency.
A Generalized and Parallelized SSIM-Based Multilevel Thresholding Algorithm

ABSTRACT Multilevel thresholding is a widely used technique to perform image segmentation. It consists of dividing an input image into several distinct regions by finding the optimal thresholds according to a certain objective function. In this work, we generalize the use of the SSIM quality measure as an objective function to solve the multilevel thresholding problem using empirically tuned swarm intelligence algorithms. The experimental study we have conducted shows that our approach, producing near-exact solutions, is more effective compared to the state-of-the-art methods. Moreover, we show that the computation complexity has been significantly reduced by adopting a shared-memory parallel programming paradigm for all the algorithms we have implemented.
Pocket Atlas of Sectional Anatomy—Volume I: Head and Neck

Head and Neck anatomy is essential to the diagnosis of many neuroophthalmic conditions. The ability to localize pathology corresponding to clinical findings and corroborate that with imaging studies is central to patient care. Localizing and diagnosing conditions with the help of imaging can expedite the treatment process and allow for better prognosis. The 333 pages of this book are divided into 3 major sections: 1) cranial computed tomography, 2) cranial magnetic resonance imaging, and 3) neck. The book is organized such as the left page has the radiologic image along with a picture representation of the level of the image and the right page has a full color diagram corresponding to the radiologic image with detailed anatomic structures presented in a numbered format with an accompanying legend. For example, great representations of cavernous sinus anatomy, with all structures labeled through different levels, are presented. Orbital anatomy is also clearly delineated. Other helpful pearls throughout the book include great representation of bony anatomy and a summary of vascular territories. Axial, coronal, and sagittal cuts are represented in each section. This book is a concise anatomical guide with correlation between radiologic imaging and corresponding diagrams detailing different structures at various levels and cuts. There is no pathology represented, and all images are of normal anatomy. It serves as a good reference for students and physicians reviewing head and neck imaging.
Cloud and snow detection from remote sensing imagery based on convolutional neural network

Cloud and snow detection is one of the most important tasks in remote sensing (RS) image processing areas. Distinguishing cloud and snow from RS images is a challenging task. Short-wave infrared (SWIR) band has been widely used for ice/snow detection. However, due to the lack of SWIR in high-resolution multispectral images, such as ZY-3 satellite imagery, traditional SWIR-based methods are no longer practical. In order to mitigate the adverse effects of cloud and snow detection, in this work, we propose an effective convolutional neural network (CNN) with a multilevel/ scale feature fusion module (MFFM), a channel and spatial attention module, and an encoder-decoder network structure for cloud and snow detection form ZY-3 satellite imageries. The MFFM can aggregate multiple-level/scale feature maps from the backbone network, ResNet50, for providing representative semantic feature information for cloud and snow detection. Channel and spatial attention module (CSAM) is used to further refine the semantic feature maps that outputs by MFFM thus making the network have better detection performance. The encoder-decoder structure allows the proposed CNN to restore detailed object boundaries thus making the detection results more accuracy. Experimental results on the ZY-3 satellite imageries dataset demonstrate that the proposed network can accurately detect cloud and snow, and outperforms several state-of-the-art methods.
Robust Stability Investigation of the Interactions Among Grid-Forming and Grid-Following Converters

State-of-the-art grid-connected converters can be classified as “grid-following,” meaning that they require a dedicated synchronization unit in order to inject active and reactive currents into the grid. Recently, other converter control concepts have been proposed in the literature, such as the synchronverter, which can instead achieve synchronization without a dedicated unit and, within its physical limitations, make the converter behave as an ideal voltage source. Since it should be expected that the grid-connected converters having different control philosophies will coexist for many years, in this article, the interaction among the converters operating nearby are addressed. First, the component connection method (CCM) technique is introduced, as a means for obtaining the state-space representation of a complex system with several units operating nearby. Due to the complexity of the grid and the difficulty in obtaining its exact representation, $\mu $ -analysis is adopted in this article for assessing the robust stability of the converter under different operating conditions, according to a defined set of plant uncertainties. Simulation results and experimental tests in a laboratory environment by means of a power hardware-in-the-loop (PHIL) test bench are performed to demonstrate the validity of the presented analysis.
Original paper Early and one year results of transvascular pulmonary valve implantation in patients after tetralogy of Fallot, Ross and Rastelli operations

Background: Transcatheter pulmonary artery valve implantation (TPVI) is a relatively new method of treatment in patients (pts) after repair of congenital heart disease (CHD). Aim: To assess the early and one year results of TPVI in patients with right ventricular outflow tract conduit dysfunction. Material and methods: TPVI with routine pre-stenting with BMS was performed in 17 pts (9 men, mean age 24.1 ±5.6 years) for pulmonary conduit dysfunction 11.4 ±6.4 years after total repair of tetralogy of Fallot or pulmonary atresia (11 pts: 8 pts with pulmonary homograft, 3 pts with Contegra xenograft or aortic monocusp homograft), pulmonary stenosis (1 pt), Ross procedure (3 pts) and Rastelli operation (TGA, pulmonary atresia – 2 pts). The schedule of follow-up assessment comprised clinical evaluation, cardiovascular magnetic resonance, transthoracic echocardiography and chest X-ray to screen for device integrity. Seventeen pts completed 1-month, 11 pts 6-month and 10 pts 12-month follow-up. Results: TPVI was performed with no serious complications in all patients. In 15 patients with significant pulmonary stenosis peak right ventricular outflow tract (RVOT) gradient was reduced from a mean of 73.4 ±30.0 mm Hg to 35,3 ±14,7 mm Hg on the next day after implantation (p < 0.001). At 1-month, 6-month and 12-month follow-up mean RVOT gradient was 30.4 ±11.2 mm Hg, 31.1 ±11.9 and 32.7 ±11.7 mm Hg, respectively (NS). In all patients pulmonary valve competence was restored. Mean pulmonary regurgitation fraction decreased from 20.9 ±7.8% to 2.4 ±2.1% (p = 0.0001) one month after procedure and the effect was stable after one year observation. Significant decrease in right ventricular end-diastolic and end-systolic volumes (131.8 ±47.8 ml/m2 to 115.3 ±40.3 ml/m2; p = 0.002 and 73.1 ±41.1 ml/m2 vs. 57,6 ±39,0 ml/m2; p = 0.004, respectively) as well as a slight improvement in RV ejection fraction (47.9 ±13.0% to 53.2 ±15.2%; p = 0.07) were observed one month after procedure. No stent fractures were seen. Conclusions: 1. TPVI is an effective and safe method of non-surgical treatment for patients with RVOT conduit dysfunction. 2. TPVI wit the use of pre-stenting technique may be performed in selected patients with RVOT patch. 3. Routine pre-stenting with BMS may protect against stent fractures after TPVI. 4. The study showed excellent results in 10 patients after one-year follow-up.
MICOPLASMAS Que papel nas Infecções Humanas

Os micoplasmas, denominacao comum dos generos Mycoplasma e Ureaplasma, representam um grupo unico e complexo de microrganismos que tem sido ignorado pela maioria dos laboratorios de diagnostico, nao so devido ao seu crescimento fastidioso, falta de meios comerciais e ausencia de procedimentos para um diagnostico rapido, mas sobretudo devido a uma percepcao clinica de longa data e amplamente difundida de que estes microrganismos sao de menor importância. Recentemente, esta situacao tem sido invertida, devido a uma melhor compreensao da sua importância clinica, da sua recente associacao a infeccao pelo Virus da Imunodeficiencia Humana (VIH), a complicacoes na gravida e no recem nascido e a doencas do foro reumatologico, assim como da necessidade da sua erradicacao em pessoas infectadas. Tambem o aparecimento de tecnicas que permitem a sua cultura e/ou identificacao tem contribuido para uma clarificacao do papel destes microorganismos como agentes etiologicos ou como cofactores de determinadas patologias clinicas. Este artigo pretende ser, nao so uma revisao sobre as principais caracteristicas dos micoplasmas humanos, como tambem contribuir para um melhor conhecimento deste fascinante grupo de microrganismos por parte dos profissionais de Saude, quanto as doencas a que sao associados e metodos de diagnostico mais comuns. Palavras-chave: Micoplasmas, cultura, conservacao, diagnostico, laboratorial, serologia, biologia molecular, susceptibilidade, antimicrobianos
Comparing the Relaxing Effects of Different Virtual Reality Environments in the Intensive Care Unit: Observational Study

Background After a prolonged intensive care unit (ICU) stay, approximately 50%-75% of all critically ill patients suffer from neurocognitive late effects and a reduction of health-related quality of life. It is assumed that the noisy and stressful ICU environment leads to sensory overload and deprivation and potentially to long-term cognitive impairment. Objective In this study, we investigated three different virtual reality environments and their potentially restorative and relaxing effects for reducing sensory overload and deprivation in the ICU. Methods A total of 45 healthy subjects were exposed to three different environments, each 10 minutes in length (dynamic, virtual, natural, and urban environments presented inside the head-mounted display, and a neutral video on an ICU TV screen). During the study, data was collected by validated questionnaires (ie, restoration and sickness) and sensors to record physiological parameters (240 hertz). Results The results showed that the natural environment had the highest positive and restorative effect on the physiological and psychological state of healthy subjects, followed by the urban environment and the ICU TV screen. Conclusions Overall, virtual reality stimulation with head-mounted display using a dynamic, virtual and natural environment has the potential, if directly used in the ICU, to reduce sensory overload and deprivation in critically ill patients and thus to prevent neurocognitive late effects.
Solving Office Ergonomics Problem Using Rapid Upper Limb Assessment (RULA)

This research took place in the Industrial computation laboratory, where the main function of the laboratory as a place of practical activity related to industrial engineering software for students. From the results of the Nordic Body Map preliminary questionnaire (NBM) showed that the highest percentage after students doing computer practically for 2 hours was the pain in the sitting position when operating the computer (typing and holding the mouse). Based on the analysis that has been used with the RULA method for positions at the time of computer operation, the results of risk level 3 to 4 are obtained (long-term action is needed) and the risk level is 5 - 6 (immediate action is required). To reduce the level of student injury risk during the learning process, this research proposes a redesign work desk position and seat position with a work station design approach based on student’s anthropometric data by utilizing RULA. The three results of work station design proposals, computer desks namely table mat height 78 cm, 83 cm wide, and 45 cm long, 68 cm height keyboard and for chairs namely 49 cm seat height, 42 cm seat base width, 46 cm pedestal length, width of backrest 42 cm, height of backrest 58 cm with a slope of 5 o degree. By paying concern to the student’s posture, the design proposal should appropriate and decrease the risk level of students who operating computer into level 1 – 2 (acceptance posture)
Single-Valued Neutrosophic Power Shapley Choquet Average Operators and Their Applications to Multi-Criteria Decision-Making

Single-valued neutrosophic sets (SVNSs), which involve in truth-membership, indeterminacy-membership and falsity-membership, play a significant role in describing the decision-makers’ preference information. In this study, a single-valued neutrosophic multi-criteria decision-making (MCDM) approach is developed based on Shapley fuzzy measures and power aggregation operator that takes a correlative relationship among criteria into account and also simultaneously reduces the effects of abnormal preference information. Firstly, two aggregation operators, namely, generalized weighted single-valued neutrosophic power Shapley Choquet average (GWSVNPSCA) operator and generalized weighted single-valued neutrosophic power Shapley Choquet geometric (GWSVNPSCG) operator, are accordingly defined, and the corresponding properties are discussed as well. Secondly, based on the proposed aggregation operators, an integrated MCDM approach is proposed to effectively solve single-valued neutrosophic problems where the weight information is incompletely known. A programming model is constructed to obtain the optimal Shapley fuzzy measure. Next, the proposed operators are utilized to aggregate the decision-makers’ preference information. Finally, a theoretical example with tourism attraction selection is provided to examine the efficacy of the developed approach, in which the results is found reasonable and credible.
An analysis of Academic Performance of Students with Hearing Impairment in Tanzania Secondary Schools

This study focused on analysis of academic performance of students with hearing impairment in secondary schools in Tanzania. The study used both qualitative and quantitative research approaches. Three secondary schools from Njombe and Iringa regions were purposively sampled. A total of 90 respondents of different categories were involved in the investigation. Respondents were selected using purposive and stratified random sampling techniques. The findings indicated that a large number of students with hearing impairment have poor academic performance for various reasons, including lack of trained teachers, lack of common medium of communication as well as shortage of learning materials and specialized equipments for students with hearing impairment, lack of in-service training and motivation for teachers of students with hearing impaired students. The study recommends that the government have in place a policy on the use of sign language and review the current teacher education curriculum for students with hearing impairment so as to integrate it in the content of Sign Language skills. There is also a need for the government to set aside a budget for issues pertaining to the education of students with hearing impairment in secondary schools as well as for motivating specialist teachers.
The Relationship between Engagement in Occupations and Pressure Sore Development in Saudi Men with Paraplegia

Various research studies have explored the factors that predispose people with spinal cord injuries to pressure sore development. Two hundred risk factors have been associated with pressure sore occurrence. One of the variables commonly reported to affect pressure sore occurrence is a decreased level of activity (Vidal and Sarrias 1991, Fuhrer et al 1993). This concurs with the philosophy of occupational therapy that a reduction in activity can generate pathology (Miller et al 1988). This research study investigated whether decreased participation in occupational activities (work, leisure and activities of daily living) was related to pressure sore occurrence in paraplegic men. The sample was selected randomly from the occupational therapy discharge files of a rehabilitation facility in Saudi Arabia. The data were collected by means of a telephone questionnaire from a total of 58 men, over a 3-month period. The study showed that there was a large increase in unemployment in paraplegic men following injury (from 10% to 59%) and, as might be expected, manual workers were more vulnerable than office workers. The study found no significant association between pressure sore occurrence and whether or not the individual was employed. However, it showed a statistically significant association between unemployment and pressure sores severe enough to lead to hospitalisation. The study also found a statistically significant association between individuals' independence in activities of daily living and the number of pressure sores that they had reported in the last 2 years. These findings indicate the potential importance of clients remaining occupationally active for their wellbeing and the significant contribution that occupational therapists can make by enabling rehabilitation of occupational activities.
A Group-Based Binary Splitting Algorithm for UHF RFID Anti-Collision Systems

Identification efficiency is a key performance metrics to evaluate the ultra high frequency (UHF) based radio frequency identification (RFID) systems. In order to solve the tag collision problem and improve the identification rate in large scale networks, we propose a collision arbitration strategy termed as group-based binary splitting algorithm (GBSA), which is an integration of an efficient tag cardinality estimation method, an optimal grouping strategy and a modified binary splitting. In GBSA, tags are properly divided into multiple subsets according to the tag cardinality estimation and the optimal grouping strategy. In case that multiple tags fall into a same time slot and form a subset, the modified binary splitting strategy will be applied while the rest tags are waiting in the queue and will be identified in the following slots. To evaluate its performance, we first derive the closed-form expression of system throughput for GBSA. Through the theoretical analysis, the optimal grouping factor is further determined. Extensive simulation results supplemented by prototyping tests indicate that the system throughput of our proposed algorithm can reach as much as 0.4835, outperforming the existing anti-collision algorithms for UHF RFID systems.
The Effect of Destination Image on Destination Branding and Revisit Intention

—Tourism destinations based on local wisdom currently receive a lot of attention from tourists. Pujon Kidul tourist village is one of the tourist destinations in East Java Indonesia that uses restaurant in the rice fields as an attraction. The objectives of this research are (1) to analyze direct effect of the destination image on destination branding, the destination image on revisit intention, destination branding on revisit intention (2) to analyze indirect effect of destination image on revisit intention through destination branding. This type of research is quantitative ex post facto. The research sample was 200 tourists who had visited the tourist village of Pujon Kidul. Through the path analysis from SPSS for Window version 25.0 it can be concluded that (1) the destination image have a significant positive direct effect on revisit intention, the destination image have a significant positive direct effect on destination branding, the destination branding have a significant positive direct effect on revisit intention (2) the destination image have an indirect effect on revisit intention through destination branding. The implication of the results of research is that efforts must be made to establish destination branding through improving service quality such as road access and parking.