Miracle-dz/UniFAR-FTUs huggingface dataset:
Pyoderma gangrenosum associated with inflammatory bowel disease

A case of pyoderma gangrenosum associated with inflammatory bowel disease is reported. A 30-year-old male suffered from abdominal pain,diarrhea with blood and pus for over one month. Over the last 12 days, red papules, pustules and painful ulcers developed on his trunk and limbs. Histopathological examination showed epidermal hyperkeratosis, thickening of stratum spinosum and neutrophil infiltration in the dermis and subcutaneous fatty tissue. Extravasation of red blood cells and fiber degeneration of vascular walls were evident. The diagnosis of pyoderma gangrenosum associated with inflammatory bowel disease was made by colonoscopy. Serum anti-perinuclear antineutrophil cytoplasmic antibody was positive. The disease was markedly alleviated after the treatment with glucocorticosteroids, mesalamine and supportive therapy.
Community Question-Answer System

Web based CQA system come in to the focus when user searches question. Any web based user searches on the internet online QA system provides the answers using matching keywords and the matching concept. Because of that sometimes user do not get the proper answers of asked question. For that research on the QA system is going on which work on the social-based Q&A systems that rely on an asker’s social friends to provide answers. However, this method cannot find answers for a question which does not belonging to the asker’s interests. So, considering this problem, the new system iASK is proposed. This system improves the response latency and answer quality in both the social domain and global domain. It uses neural network based friend ranking method to identify answerer candidates by considering social closeness and Q&A activities. In existing works, we used weak tie assisted social based potential answerer location algorithm and an interest coefficient based uncategorized question forwarding algorithm. In this paper we are also having forum support when user do not get proper answer, and so user takes part in online discussion. Sometime user enters wrong question at time posting, so using the fuzzy dictionary we correct the words which help system to work properly. The main aim is to remove the word mismatch problem using the Lesk algorithm.
Comparison of baited remote underwater video (BRUV) and underwater visual census (UVC) for assessment of reef fish in a marginal reef in the northern Persian Gulf

Underwater Visual Census (UVC) and Baited Remote Underwater Video (BRUV) are broadly used methods to study fish assemblages in marine and estuarine environments. This study compared the results of BRUV and UVC methods for assessing seasonal trends in coral reef fish assemblages in a marginal reef in the northern Persian Gulf. In doing so, seasonal surveys of coral reef fishes were done using BRUV and UVC methods. Comparison of assemblage metrics driven from each method indicated that both methods may reveal similar patterns of seasonal changes in fish and trophic group assemblages while there may be between-method differences in species richness, total abundance, and trophic group abundances. The observed differences may be related to the longer sampling times of BRUV.
Optimal One-Shot Detection of Preambles with Frequency Offset

Unidirectional low power wide area network (LP-WAN) transmissions originating from energy-constrained sensor nodes can only be detected once at the receiver or the transmitted information is lost forever. The usually low-budget transmitters are not synchronized with the receiver and have a significant frequency offset. Hence, we design an optimal detector that maximizes the probability of detection with a hypothesis testing approach using a likelihood ratio test (LRT). The theoretically optimal detector is simulated but not implementable. For practical applications, we present approximated detectors, which are very close to the ideal performance.
Assessing the Impact of CFSR and Local Climate Datasets on Hydrological Modeling Performance in the Mountainous Black Sea Catchment

Precise representation of precipitation input is one of the predominant factors affecting the simulation of hydrological processes in catchments. Choosing the representative climate datasets is crucial to obtain accurate model results, especially in mountainous regions. Hence, this study assesses the suitability of the Climate Forecasting System Reanalysis (CFSR) and local climate data to simulate the streamflow at multiple gauges in the data-scarce mountainous Black Sea catchment. Moreover, the applicability of using the elevations band in the model is also tested. The Soil and Water Assessment Tool (SWAT) is used as a hydrological simulator. Calibration and uncertainty analysis are performed by using SWAT-CUP with the Sequential Uncertainty Fitting (SUFI-2) algorithm based on monthly streamflow data at six different hydrometric stations located at different altitudes. The results reveal that the CFSR dataset provides quite reasonable agreements between the simulated and the observed streamflow at the gauge stations compared to the local dataset. However, SWAT simulations with both datasets result in poor performance for the upstream catchments of the study area. Considering orographic precipitation by applying elevation bands to the local climate dataset using CFSR data leads also to significant improvements to the model’s performance. Model results obtained with both climate datasets result in similar objective metrics, and larger uncertainty with a coefficient variation (CV) ranging from 73% to 107%. This paper mainly highlights that (i) global climate datasets (i.e., CFSR) can be a good alternative especially for data-scarce regions, (ii) elevation band application can improve the model performance for the catchments with high elevation gradients, and iii) CFSR data can be used to determine precipitation lapse rate in data scarce-regions.
Learning to Represent Spatio-Temporal Features for Fine Grained Action Recognition

Convolutional neural networks have pushed the boundaries of action recognition in videos, especially with the introduction of 3D convolutions. But it is an open ended question on how efficiently a 3D CNN can model temporal informationƒ which we try to investigate and introduce a new optical flow representation to improve the motion stream. We use the baseline inflated 3D CNN networks and separate the convolutional filters into spatial and temporal, which reduces the number of parameters with minimal loss of accuracy. We evaluate our approach on NTU RGBD dataset which is the largest human action dataset and outperform the state-of-the-art by a large margin.
Induction Motor Control using Modified Indirect Field Oriented Control

This paper proposes the speed control of induction motor using modified indirect field oriented control (MIFOC). MIFOC scheme is based on the control of active and reactive power to regulate desired speed and torque of induction motor. The flux and torque estimation is not required in proposed scheme which reduces the complexity and ripples as compared to direct torque control and conventional field oriented control strategies. It significantly improves the transient and dynamic behavior of induction motor even at very low as well as reversal of speed of induction motor. The sensors for measurement of parameters are required less in MIFOC against to DTC and IFOC. The proposed scheme is implemented on induction motor in MATLAB SIMULATION to verify the improvement in results. The effectiveness of the control scheme for the wide range of speed control has been validated.
A perspective on practical solar to carbon monoxide production devices with economic evaluation

Solar-chemical production is one of the most promising options for producing valuable chemicals from greenhouse gases. An economically attractive and industrially applicable solar-chemical production device not only requires catalyst and/or reactor design, but also auxiliary unit process design, process integration, and optimization. Herein, we report a state-of-the-art monolithic solar-chemical production device having 8.03% solar to CO conversion efficiency and 0.77 to 31.9% CO2 one path conversion. Since the monolithic device directly couples a photovoltaic cell and a CO2 electrolyzer, the power loss due to a current converter can be avoided. According to the solar-chemical production device, a comprehensive process design accounting for CO2 to CO conversion, unreacted CO2 separation, and recycling structure is provided. The process model shows good agreement with experimental data for CO2 conversion in the electrolyzer. A process level techno-economic evaluation and a comprehensive review are also presented to highlight the current state and the economic feasibility of the developed device. Thereafter, we provide a sensitivity analysis in terms of CO2 conversion, membrane cost, solar to chemical efficiency, and current density necessary for economically profitable CO production. The equivalent CO sales cost from a 4 MW production plant is estimated to be $10.9 per kg and the corresponding carbon tax compensating for the price gap of the current market price is $6.6 per kg CO2. The sensitivity analysis demonstrates that >80 mA cm−2 current density or 22% CO2 conversion is desirable to effectively compete with the conventional CO production process.
Improving Performance of UPQC-DG for Compensation of Unbalanced Loads

In this paper, an improved Power Angle Control (PAC) method for UPQC-DG has been proposed for effective compensation of unbalanced loads. UPQC-DG provides a simultaneous solution to power quality and renewable integration. PAC methods have been developed for UPQC-DG to enhance VA utilization of series and shunt APFs of UPQC-DG. In case of unbalanced loads, existing PAC methods result in circulation of reactive power and increased VA loading of UPQC-DG. PAC method proposed in this work, is designed to tackle above-mentioned issues. Also, proposed PAC method is based on Synchronous Reference Frame (SRF) theory, which makes it robust to non-ideal voltages. Performance of proposed PAC method has been tested using real time simulation performed in Opal-RT. Simulation results show superior performance of UPQC-DG in presence of unbalanced and non-linear loads using proposed PAC method.
Is Popularity an Indicator of Software Security?

Although numerous research attempts can be found in the related literature focusing on the ability of software-related factors (e.g. software metrics) to indicate the existence of vulnerabilities in software applications, none of them have demonstrated perfect results. In addition, none of the existing studies have focused on the popularity of software products, which is an important characteristic of open-source software applications and libraries. To this end, in this paper, the ability of popularity (i.e. utilization) to indicate the existence of vulnerabilities and, in turn, to highlight the internal security level of software products is investigated. For this purpose, a relatively large software repository based on well-known libraries retrieved from the Maven Repository was constructed and its security was analyzed using a widely-used open-source static code analyzer. Correlation analysis was employed in order to examine whether a statistically significant correlation exists between the security and popularity of the selected software products. The preliminary results of the analysis suggest that popularity may not constitute a reliable indicator of the security level of software products. To the best of our knowledge, this is the first study that examines the relationship between the popularity of software products and their security level.
Research of Low Field Intensity Joint MR Scan in Rabbit Knee Articular Cartilage Defect Repair

【Objective】 To research the diagnostic value of low field intensity joint MR in majority New Zealand albino rabbit knee articular cartilage defect repair. 【Method】 40 New Zealand albino rabbit left knee were divided into two group:A group:cartilage defect were made by operation,but type II collagen were not implant;B group:type II collagen were implant in the defect.Two group of rabbit left knees were scan in joint MR at 2,6,12,and 18 weeks after operations,histological anatomy were done after MR scan. 【Results】 Two group of rabbit knees showed regular dynamic MR appearance,associated with the histological anatomy,the cartilage defect nature repair process were seen in A group;the packing material maturation process were seen in B group.12 weeks after operations,articular cartilage signal were seen in both two groups,articular cartilage signal in B group were smooth. 【Conclusion】 Low field intensity joint MR is potential in articular cartilage defect repair evaluation,it maybe a diagnostic method in articular cartilage defect repair without trauma.
E-Learning Resources In Language Teacher Training

The article discusses the use of e-learning resources in designing and delivering the modules for professional training of foreign language teachers. The authors study the features of different types of training with the use of information and communication technologies (computer-mediated, e-learning, blended learning) and prove that these technologies have a number of learning opportunities. The authors look at the definition and core features of e-learning resources and suggest that e-learning resources used in the blended learning format of professional training at university contribute to the formation of a language teacher’s key competencies necessary for their future professional activity. The experience of the Faculty of Romance and Germanic Philology at Voronezh university of using the blended learning technology is presented, and the structure of training modules developed for the master programme “Teaching languages with the use of online technologies” is considered. Various e-learning resources to support both face-to-face and distance parts of the modules are described, with special attention to such e-learning resource designed as a language teacher’s virtual workshop aimed to simulate a real-life language teaching process, and with that to broaden students’ subject and interdisciplinary knowledge, to develop their skills of processing a large amount of information and readiness to use technologies as a means of constructing diverse educational and methodological support in a language teaching process to increase its efficiency. On the basis of the above-mentioned, the conclusion about a number of benefits of using e-learning resources in the educational process is made.
Decision-making in General Practice: The Importance of a Near Patient Test When Choosing Medical Actions

There is a lack of studies on the impact of near patient test results in primary care, which should be an important prerequisite for reimbursing such tests. Our main purpose is therefore to develop a model to study what effect the results of a near patient test may have on medical actions in primary care. A clinical vignette, describing a young woman with dyspepsia was sent to GPs in Norway, who were asked to suggest actions in response to either a negative or a positive result of the Helicobacter pylori rapid test (HPRT). Discrete choice analysis with multinomial logit models was used to analyse the choice of medical actions. We find that the result of the rapid test has a major influence on actions suggested, and an important prerequisite for reimbursing such tests is fulfilled. Therefore the analytical quality of test results is likely to affect patients' health and social costs.
Dynamic Modeling of the Da Vinci Research Kit Arm for the Estimation of Interaction Wrench

The commercialized version of the da Vinci robot currently lacks of the haptic feedback to the master arm. Thus, the surgeon has no haptic sense and relies only on the visual feedback. For this reason, in the recent research activities using the da Vinci Research Kit (dVRK) platform, the reflection of the interaction force between the slave tool and the environment to the master manipulator is a topic of high interest. In this work a sensorless model-based approach for contact force and torque estimation is presented and validated. The dynamics of the dVRK slave arm is modeled and its parameters are identified. The idea is to use the joint torques obtained from the measured motor currents and to subtract the torques resulting from the dynamics of the robot arm. The resulting torques are therefore only due to the external forces and torques acting on the tool, which are then obtained through the inverse transpose of the Jacobian matrix. The accuracy of this method is assessed by comparing the estimated wrench to the one measured by a force$/$torque sensor (ATI mini 45). It is shown that the external wrench is well estimated compared to the measured one.
The Impacts of Climate Change on the Livelihood and Food Security of Small-Scale Fishers in Lake Kariba, Zimbabwe

Small-scale fisheries play a significant role as a source of employment, livelihood strategy and contributor to food security. However, changes in climatic variables alter the productivity and distribution of marine and freshwater fish species, negatively affecting the livelihoods of fishery-dependent communities. This study seeks to identify small-scale fishers’ livelihoods and examine the impacts of climate change on livelihoods and food security of small-scale fishing households. The study was conducted in Sanyathi fishing basin in Lake Kariba, Zimbabwe. The Sustainable Livelihood Approach framework of the Department for International Development was used to define the small-scale fishers’ livelihood assets and activities. The study employed a mixed-method approach for data collection. A pretested, semi-structured questionnaire, focus group discussions and observations were used to collect data from the small-scale fishers. The data collected were subjected to descriptive and bivariate analysis. The present results indicate that fishing is the community’s primary livelihood activity. More than 62% of fishermen stated that fishing revenue is declining, owing to declining fish catches. Of participants, 98% recognised food purchases as the primary source of food. Therefore, 78% of the small-scale fishers perceive their households to be food insecure due to declining incomes from fisheries. These findings show the need for policymakers and development agencies to formulate strategies that specifically target fishing communities whose livelihoods rely on natural ecosystems.
Effects of auditory-motor synchronization on 400-m sprint performance: An applied study

There is a conspicuous dearth of empirical research regarding the ergogenic and psychological effects of synchronous music when applied in a sports training context. The main purpose of this longitudinal intervention study was to investigate the ergogenic and psychological effects of synchronous music applied over a one-month period of speed endurance training. Twelve participants (six women and six men; 21.1 ± 1.7 years) were randomly assigned to either an experimental group (sprint training coordinated with synchronous music) or a control group (conventional sprint training). Immediately after each training session and each time trial, the Feeling Scale, CR-10 Rating of Perceived Exertion Scale, and Physical Activity Enjoyment Scale were administered to each participant. No significant interaction effect of Group × Time for Rating of Perceived Exertion (p = .898) or Physical Activity Enjoyment Scale (p = .411) was identified during the training sessions. A significant Group × Time interaction was identified for Feeling Scale scores (p = .007). Nonetheless, following Bonferroni adjustment for pairwise comparisons, the between-group differences in Feeling Scale scores did not reach significance. No significant interaction effect of Group × Time or main effect of group was identified for sprint performance, although the latter effect was associated with a large effect size (ηp2 = 0.35). Experimental group participants executed the 400-m time trials 5.07% faster than control group participants. This finding is noteworthy from an applied perspective, given the potential ergogenic effects associated with auditory-motor synchronization.
Efficient 802.11 Hand-off through Load Aware Channel Probing

In 802. 11 NLaN, Access Point (AP) and its associated mobile stations (MSs) forms a basic service set BSS. In such network a continuous service coverage with an acceptable throughput is highly desirable while the $\mathrm {M}\mathrm {S}s$ roam around the network. Limited size of WLAN BSSs with increased deployment results more transmission overlapping and frequent hand-offs. This significantly increases the delay. On the other hand, selection of appropriate target AP is another major issue as it crucially determines the obtained throughput. In this paper we propose a load aware channel probing (LACP) towards an efficient hand-off addressing these two issues simultaneously. Based on the accumulated load on the $\mathrm {A}\mathrm {P}s$ in range the proposed approach efficiently reduces the probe-count during hand-off by avoiding unnecessary channel probing and selects the appropriate destination AP. The objective is to reduce the hand-off delay and to enhance the obtained throughput. We first present a motivational example then develop an elegant algorithm. The novelty of the idea is established through extensive simulations. We have shown that the performance of the proposed approach is highly comparable to the other approaches from existing literature.
Evaluating the efficacy of a brief parenting intervention based on video tape modelling : effects on parental stress and parent-child relationships

Objectives Well-established links between child adjustment, parenting behaviour and parenting stress have been documented in the literature. The treatment of choice for children with conduct problems is Parent Management Training. One of the most well researched interventions is Webster-Stratton's BASIC programme based on video tape modelling. This includes a component aimed at encouraging more positive parent-child relationships through the use of child-directed play and targeted praise. It was hypothesised that using this component with the parents of children referred to child clinical psychology and psychiatry services would result in decreased parenting stress and that this effect would be mediated by improved positiveness towards the child. Design A within groups design was used, assessing parents preand postintervention. Method The parents of twenty referred children were recruited in to the study. Baseline self-report measures of parenting stress, child behaviour and Positiveness towards the child were completed. Participants were offered two sessions using Webster-Stratton's manualised programme as a guide for video tape modelling with discussion. Parents completed outcome measures following the intervention. Results Positiveness to child was significantly improved in mothers but not in fathers. Changes in parenting stress and child adjustment were in the expected direction but not significant. Conclusions The brief intervention demonstrated some efficacy in improving parent-child relationships. It was concluded that reduction in child behaviour problems might have more effect on parenting stress than positiveness to child. Methodological weaknesses and implications for future research are discussed.