Miracle-dz/UniFAR-FTUs huggingface dataset:
The effectiveness of 12 months' intensive shoulder strength training on disability, health-related quality of life and shoulder function after rotator cuff repair

Piitulainen, Kirsi The effectiveness of 12 months’ intensive shoulder strength training on disability, health-related quality of life and shoulder function after rotator cuff repair Jyväskylä: University of Jyväskylä, 2017, 104 p. (Studies in Sport, Physical education and health) ISSN 0356-1070; 256) ISBN 978-951-39-6993-6 ISBN 978-951-39-6994-3 (PDF) Finnish summary Diss. This study examined the effectiveness of intensive shoulder strength training on disability, health-related quality of life (HRQoL) and shoulder function in patients who had undergone rotator cuff repair (RCR). In addition, the selfreport section of the American Shoulder and Elbow Surgeons Standardized Assessment Form (ASES) was cross-culturally adapted to the Finnish language and the psychometric properties of the Finnish version were assessed. Patients with a rotator cuff tear (aged 41-62 years) were randomized into an exercise group (EG, n=35) or a usual care group (UCG, n=32) after RCR. Disability was assessed with ASES questionnaire and quality of life with ShortForm 36 Health Survey (SF-36) preoperatively and at two months, 12 months and three years after surgery. Shoulder function was evaluated by measuring range of motion (ROM) and muscle strength at two and 12 months after surgery. The strength training intervention began two months after surgery and lasted 12 months. The EG were given instructions on a home-based shoulder muscle strengthening programme, while the UCG received ordinary postoperative instructions. The reliability of the ASES questionnaire was assessed. Preoperatively, the RCR patients with high functional disability of the shoulder demonstrated low HRQoL. After the 12-month intervention, no between-group differences were observed in any of the outcomes. The mean (SD) ASES score improved from 74 (14) by 21 points (95% CI, 16 to 26, p < 0.001) in the EG and from 70 (18) by 25 points (95% CI, 20 to 31, p < 0.001) in the UCG. Both groups maintained their post-intervention ASES score levels throughout the three-year follow-up. The Finnish version of the ASES proved to be a reliable and valid shoulder-specific measurement tool. These results suggest that the majority of the patients achieved good recovery during one year. The additional exercise intervention did not benefit patients with a rotator cuff tear.
Motivation and Job Satisfaction of Pharmacists in Four Hospitals in Saudi Arabia

Background: The number of pharmacists in the healthcare sector has been steadily increasing in Saudi Arabia, drawing management attention toward concerning factors influencing pharmacists’ motivation and job satisfaction. * Aim: To find out what strongly motivate pharmacists, measure job satisfaction, determine the influencing factors, and to compare it with pharmacy managers’ and supervisors’ opinion. Methods: Based on Herzberg’s two factor motivation theory and Job Characteristic Theory, a constructionist research design in four different hospitals; through mixed theory of quantitative anonymous questionnaire for Managers/ Supervisors and qualitative semi-longitudinal self-completion questionnaire for pharmacists. Data were analyzed using descriptive statistics and SPSS version 11.5. Results: 71 pharmacists, and 19 managers were enrolled. Majority of participants were young female. Results showed salary, promotion, recognition, and job satisfaction as the most powerful motivator factors. A statistically significant relation between job satisfaction and task significance, autonomy, and managers’ feedback. Manages considered salary, promotion, financial rewards, and vacation as the most important motivator factors. Results confirmed that managers’ opinion does not reflect the true motivators’ and job satisfaction status at their departments. Conclusion: Managers need to eliminate dissatisfaction determined by the hygiene factors of co-workers’ relationship, salary, and job security. Enhance the satisfaction effect related to motivator factors of promotion, recognition, and work itself. It also confirmed previous findings of job satisfaction being a dynamic multi-dimensional phenomenon.
Exploring Mixed Reality Robot Communication Under Different types of Mental Workload

This paper explores the tradeoffs between different types of mixed reality robotic communication under different levels of user workload. We present the results of a within-subjects experiment in which we systematically and jointly vary robot communication style alongside level and type of cognitive load, and measure subsequent impacts on accuracy, reaction time, and perceived workload and effectiveness. Our preliminary results suggest that although humans may not notice differences, the manner of load a user is under and the type of communication style used by a robot they interact with do in fact interact to determine their task effectiveness
Leaf disease Detection and Climatic Parameter Monitoring of Plants Using IoT

: In agribusiness exploration of programmed checking of diverse parameters alongside leaf malady recognition is imperative examination subject as it may demonstrate advantages in controlling substantial zone of yields, and subsequently this framework naturally identify side effects of sickness when they show up on plant clears out. The term leaf infection is typically utilized just for devastation of live and sound takes off. This paper gives thought regarding estimation of diverse climatic parameters of plant and investigation of leaf sickness discovery utilizing picture handling and sends the whole data over web by method for term IoT. Web of Things (IoT) expects to stretch out Internet to huge number of dispersed gadgets by characterizing standard, interoperable correspondence convention. The real goal of Internet of Things (IoT) is to make a keen situation utilizing empowering advances, for example, sensors, inserted gadgets, and correspondence conventions. For result reason grape plant is picked in certain framework. Creating Grape is an overwhelming errand as the plant is presented to the assaults from different small scale life forms, bacterial maladies and irritations. The side effects of the assaults are generally recognized through the leaves, stems or organic product examination. That is the reason leaf ailment location of grape plant is picked in this framework.
Clustering IoT Malware Samples based on Binary Similarity

The Internet of Things (IoT) is a rapidly growing technology of interconnected embedded devices, estimated to encompass billions of them in the upcoming years. In response, attackers have been developing new malware families speciﬁcally targeting IoT devices, such as the Mirai botnet, the Amnesia rootkit and others. In order to eﬃciently analyze new malware samples, it is important for antivirus companies to accurately classify them as members of known families. To this end, the industry employs a number of techniques including similarity digests, e.g. ssdeep and sdhash. A recently proposed similarity digest by TrendMicro, called TLSH, has been shown to outperform other approaches in the context of detecting variants of the same malware family. In this paper, I study how TLSH similarity scores can be used for clustering malware samples and whether existing clustering algorithms can correctly classify similar samples. I collected 12993 samples for my study from VirusTotal, each of which is associated with one of 29 IoT speciﬁc malware families. I cluster the dataset using two widespread algorithms: the Partitioning Around Medoids (PAM) algorithm k-Medoid, and the density-based al-gorithm OPTICS. I ﬁnd that the assumptions of the tested clustering algorithms do not hold in the context of identifying variants of existing malware families, and the calculated clusters do not accurately reﬂect the underlying structure of the sample set. I conclude that existing clustering algorithms are not appropriate for clustering malware sample sets likely to be encountered in practice.
Refractory Hailey-Hailey Disease That Responded Well to Photodynamic Therapy

of vascular origin. The most important differential diagnoses are angiosarcoma, which expresses endothelial markers such as CD31 and CD34, and chronic expansive hematoma, which presents as an encapsulated tumor filled with blood and neovasculature. What was interesting about this case, apart from the rarity of the condition, was the ease with which a giant vascular eccrine spiradenoma could be mistaken for a lesion of vascular origin.
BIOSYNTHESIS, CHARACTERIZATION AND ANTIPARKINSON ACTIVITY OF MAGNETITE-INDONESIAN VELVET BEANS (Mucuna pruriens L.) NANOPARTICLES

The aims of the present study were to synthesize magnetite nanoparticles mediated by the extract of velvet bean (Mucuna pruriens) seed from Indonesia and evaluate its anticataleptic effect on haloperidol-induced catalepsy mice. The magnetite-M. pruriens seed extract nanoparticles (FeMPn) were synthesized by reacting ferric chloride (FeCl3) solution with M. pruriens seed extract. Scanning Electron Microscopy-Energy Dispersive X-ray (SEM-EDX), Transmission Electron Microscopy (TEM), Fourier-Transform Infrared (FTIR) and Thermogravimetric Analysis/Differential Thermal Analysis (TGA/DTA) were used to characterize the FeMPn synthesized. Catalepsy test of FeMPn was performed at dosages of 5, 10, 15, 20 and 25 mg/kg body weight. SEM and TEM images showed the aggregation of FeMPn with a spherical shape and smallest size of 30.5 nm. FTIR spectra confirmed the presence of Fe-O bonding from the absorption band at 557.4 cm. TGA/DTA results confirmed that the addition of Fe leads to increase the thermal stability of the extract. The administration of FeMPn at all dosages was able to lower the catalepsy in mice significantly and it was better than the extract itself with the best dosage was 10 mg/kg body weight. These findings suggest that FeMPn could be a promising option for antiparkinson treatment.
The incidence of lower respiratory tract infections and pneumococcal vaccination status in adults in flemish primary care

ABSTRACT Pneumococcal vaccination coverage of adults at risk for pneumococcal disease is below recommended levels. There is no observational data on pneumococcal vaccination and the incidence of lower respiratory tract infections in a general adult population. The current study had the objective to explore the incidence of lower respiratory tract infections and the pneumococcal vaccine coverage in function of age, influenza vaccination status and risk status, in Flanders, Belgium. We used data from Intego, ageneral practice-based morbidity registration network in Flanders (Belgium). We gathered data on pneumococcal vaccinations, influenza vaccination (in 2014) and ICPC2-coded diagnoses of pneumonia and acute bronchitis (2015). First, we divided the population into three groups along the risk status for developing apneumococcal infection according to the recommendations for pneumococcal vaccination in adults by the Belgian High Council of Health. 28.6% from our total adult study population are considered the target group for vaccination. Second, we found that the average pneumococcal vaccination coverage in this targeted population was 18.7%. Third, we found asignificantly higher incidence of LRTI in patients previously vaccinated against pneumococcal disease and/or influenza across the majority of subgroups. Pneumococcal vaccination coverage in Flanders is quantitatively low but observed to be qualitatively high in terms of reaching the most at risk population. Our findings are likely to be highly relevant to addressing future vaccination strategies in Flanders.
SIMULATION-BASED OPTIMIZATION FOR INTEGRATED PRODUCTION PLANNING AND CAPACITY EXPANSION DECISIONS

In this paper, we consider a simplified semiconductor supply chain that consists of a single front-end facility and back-end facility. We present a production planning formulation that is based on clearing functions. A cost-based objective function is considered. The minimum utilization of expensive bottleneck machines in the front-end facility is a parameter of the model. At the same time, the less expensive capacity of the back-end facility can be increased to reduce the cycle time in the backend facility. The release schedules obtained from the planning formulations are assessed using discrete-event simulation. An overall cycle time larger than a given maximum value is penalized. Simulated annealing is used to determine appropriate minimum utilization levels for the front-end bottleneck machines and appropriate capacity expansion levels for the back-end. The results of the computational experiments demonstrate that the profit can be increased while the maximum possible overall cycle time is not violated.
RNA-Seq analysis of early transcriptional responses to activation in the leukaemic Jurkat

The leukaemia-derived Jurkat E6.1 cell line has been used Background: as a model T cell in the study of many aspects of T cell biology, most notably activation in response to T cell receptor (TCR) engagement. We present whole-transcriptome RNA-Sequencing data for Methods: Jurkat E6.1 cells in the resting state and two hours post-activation via TCR and CD28. We compare early transcriptional responses in the presence and absence of the chemokines CXCL12 and CCL19, and perform a basic comparison between observed transcriptional responses in Jurkat E6.1 cells and those in primary human T cells using publicly deposited data. Jurkat E6.1 cells have many of the hallmarks of standard T cell Results: transcriptional responses to activation, but lack most of the depth of responses in primary cells. These data indicate that Jurkat E6.1 cells hence represent Conclusions: only a highly simplified model of early T cell transcriptional responses.
Validity of the Anadolu-Sak Intelligence Scale in the identification of gifted students

Anadolu-Sak Intelligence Scale (ASIS) is the first intelligence scale developed and normed in Turkey. In this study, the concurrent validity of the ASIS was investigated. A total of 98 gifted and 232 average students were administered the ASIS. Gifted students’ mean IQ (135) on the ASIS was found to be above the traditional cutoff (130 IQ). ASIS general intelligence index was the best predictor of giftedness, followed by the Fluid Reasoning Index, the Crystalized Knowledge Index and the Memory Capacity Index. Correlations between the ASIS indexes and academic achievement in math, science, language and social studies for average students were high, ranging from . 50 to . 83. The General Intelligence Index had the highest correlations with academic achievement in all the subjects with a mean correlation of . 81 at the fourth grade and . 75 at the fifth grade. Results provided strong support for the validity of the ASIS in relation to academic achievement and giftedness.
An Overview of Risk Factors Related to Driver Distraction: Reviews and Meta-Analyses

The objective of this study is the comparative assessment of driver distraction related risk factors with the explicit purpose of ranking their impact on road safety. Existing studies were selected and analysed in a set taxonomy, of which distraction includes 11 risk factors. For each risk factor the applied methodology included rigorous literature search and selection, analysis of studies in terms of design, methods and limitations and synthesis of findings and meta-analyses, when feasible. 37 high quality studies were selected and analysed. Results indicate that cellphone use in any form is the most detrimental type of distraction. Conversation with passengers, cognitive overload and inattention, and outside factors were found to have a modest impact, while listening to music and operating devices were found to have an unclear impact. Three meta-analyses were also conducted, determining the proportions of crashes that occur due to drivers conversing with passengers or operating devices.
321-329 Ahmed HF.pmd

This study aimed first to estimate the prevalence of subclinical mastitis (SCM) among dairy cows and buffaloes of smallholders who sell milk directly to consumers through bulk tanks of milk distributors. The second aim is to estimate the prevalence of Escherichia coli in milk of SCM cases and identify its virulence genes and to emphasize the public health risk form drinking this milk. A total of 227 and 174 dairy cows and buffaloes, respectively from Kafrelsheikh Governorate, Egypt were examined with California Mastitis Test (CMT) to estimate the prevalence of SCM. Samples were also screened for E. coli using classical bacteriological and molecular methods. The prevalence of CMT-positive cows and buffaloes samples examined was 47.4% (49.9% and 44.3% for cows and buffaloes, respectively). Cows were found to be at a higher risk of getting high CMT score than buffaloes. E. coli was detected bacteriologically in 16.4% and in 27.2% of the CMT-positive cows and buffalo samples, respectively. A total of 83.1% and 75.6% of isolates were confirmed as E. coli using PCR technique. A multiplex PCR assay was used to identify five virulence genes in the E. coli isolates; the eae gene for enteropathogenic E. coli, stx for Shiga toxin-producing E. coli, elt and est for enterotoxigenic E. coli, and the hlyA of the enterohemolysin gene for enterohemorrhagic E. coli. Only one E. coli strain identified carried two virulence genes (eae and est). The high prevalence of SCM among dairy cows and buffaloes in the study area indicated that there is high risk to consumers who consume milk of these animals. Also, control of SCM is a prerequisite among smallholders in Egypt in order to minimize its deleterious effects such as microbial antibiotic resistance and public health hazards. To our knowledge, this is the first study that highlights the ecology of virulence by E. coli causing SCM in Kafrelsheikh governorate, Egypt. This study offers the basis for further phenotypic and molecular characterization of E. coli found in raw milk in order to guarantee safe consumption of raw milk and milk products.
373-382 Dyary HO.pmd

Infection with gastrointestinal (GI) nematodes is one of the major obstacles that face the pasture-based livestock production globally. The emergence of anthelmintic resistance has been reported from different parts of the world, and the current status on the efficacy of the common anthelmintic drugs in Kurdistan Region – northern Iraq are not well-understood. This study was conducted to evaluate the effectiveness of albendazole, ivermectin, and levamisole to GI nematodes of Sheep under field conditions in Piramagroon sub-district, Sulaymaniyah Governorate, Iraq. Nineteen sheep farms were included in the study and 40 lamb and yearlings from each flock were randomly selected and divided into four groups. The first group was the untreated control. Groups 2–4 were given the recommended doses of ivermectin, albendazole, and levamisole. Fecal Egg Count Reduction Test was conducted to determine the efficacy of the tested drugs. Anthelmintic resistance to the drugs was to be widespread in the studied areas. Results of larval culture showed that Nematodirus spp. was the most prevalent parasite in the region, followed by Trichostrongylus spp. , Marshallagia spp. , and Trichuris spp. The most abundant genus in the treated groups was the larvae of Nematodirus spp. The study concluded that anthelmintic resistance to ivermectin, albendazole, and levamisole is widespread in the area and Nematodirus was the most common parasite among the resistant genera. Therefore, alternative methods for the management of helminth infections should be implemented to reduce the burden of these parasites on the productivity of sheep in the region.
Effect of Nutrition Knowledge and Women's Empowerment on Nutrition Outcomes of Children in Rural Ethiopia

Child malnutrition in its various forms remains widespread in Ethiopia, and children often consume poor diets characterized by low diversity. Efforts seeking to improve child nutrition have placed a strong emphasis on women’s role. Women’s nutrition knowledge and empowerment are vital impact pathways for nutrition-sensitive programs and interventions. This paper examines the effects of women’s nutrition knowledge and empowerment on child nutrition outcomes using survey data from rural Ethiopia. Using an instrumental variable (IV) approach to address potential endogeneity concerns, women’s nutrition knowledge and empowerment are found to have strong and significant effects on reducing child stunting. The interaction between nutrition knowledge and women’s empowerment appears to have additional power in explaining child stunting. A disaggregated analysis of empowerment reveals that empowering women in agricultural household decisions and increasing their access to and control of economic resources are more promising for improving child nutrition. Overall, the findings suggest efforts targeting to improve child nutrition in rural Ethiopia need to ensure that they are complemented by efforts to improve women’s nutrition knowledge and empowerment.
DIGITALIZATION OF TAMIL HANDWRITTEN CHARACTERS RECOGNITION USING CONVOLUTIONAL NEURAL NETWORKS(CNN)

Now-a-days digitalization becomes an important one for documents preservation. Some Tamil Handwritten characters need preservation, like land documents etc. So we try to overcome the difficulty of paper preservation by digitalizing it. The aim of this Project is to require Handwritten set of Tamil Characters as input within the format of image to process the character, train the Convolution Neural Network algorithm to acknowledge the pattern and convert the recognized characters to a Printed document. Convolutional Neural Network then attempts to work out if the computer file matches a pattern that the Neural Network has memorized. Optical Character Recognition deals with a crucial concern issue of handwritten character classification. To beat the difficulty of knowledge recognition among similarities, Convolutional Neural Network will provide more accuracy of character recognition. Convolutional Neural Networks (CNN) are playing an important role nowadays in every aspect of computer vision applications. The art of CNN is used in recognizing Tamil handwriten characters in offline mode. CNNs differ from traditional approach of Tamil Handwritten Character Recognition (THCR) in extracting the features by the methods of preprocessing ,normalization, feature extraction and classification . we've developed a CNN model from scratch by training the model with the Tamil characters in offline mode and We have achieved good accuracy results on obtained datasets. This work is for digitalizing offline THCR using deep learning technique.
Monitoring of Turnout Ballast Degradation Using Statistical Low-Complexity Behavioral Models

The dependability of the railway infrastructure is paramount to guarantee safety, comfort, and network capacity. Turnouts are the key infrastructure element to enable the maximization of network capacity and minimization of transport delays. Their failure upsets the overall performance of the railway network; hence, infrastructure managers are interested in securing as high as possible uptime. The ballast layer provides the elastic support to the superstructure (sleepers and rail); thereby, it is crucial to ensure both safety and comfort in railway transport. This article presents a novel detection system for the monitoring of ballast degradation throughout its service life. A statistical model based on the generalized extreme value distribution is proposed to describe the behavior of the resonance frequency associated with the ballast. The generalized likelihood ratio test is then adopted to detect when the state of health of the ballast changes over time. The monitoring system is tested exploiting full-scale measurements of train-induced track vertical acceleration collected at a turnout of the Danish railway network over a two-year period, which includes a maintenance event. Results demonstrate the ability of the ballast monitoring system in detecting the progressive degradation of the ballast quality.