Miracle-dz/UniFAR-FTUs huggingface dataset:
Roadmap for Collaborative eHealth Service Architectures for Homecare

In many industrialized countries, such as the Scandinavian, one of the main goals for eHealth innovation is to use information and communication technologies to avoid the approaching inflection point in healthcare: it is estimated that by 2025 the demand of care could not be sufficiently attended based on today’s healthcare delivery. eHealth services and business models for enabling older people in need of care and patients with chronic conditions may increase efficiency of healthcare and improve Quality of Life for residents. However, eHealth business models are known by their fast speed of change, what results in the need of a methodology to rapidly adapt technical requirements to these typical inter-agency changes. This work presents a research roadmap for collaborative eHealth Service Architectures for homecare. The research focused on the business requirements in service architectures (eBusiness, Enterprise systems), whose findings can inform eHealth research in general, health professionals
Endocrinology of the Placenta

Twenty-four-hour samples of urine were collected at weekly intervals throughout pregnancy by the first 40 patients who conceived after treatment with human pituitary follicle-stimulatinghormone and human chorionic gonadotrophin. Each sample was assayed for cestriol by the method of Palmer (1964), for pregnanediol by the method of Klopper et al. (1955) and for chorionic gonadotrophin (CG) by the hemagglutination method of Butt et al. (1961). Twenty-three pregnancies resulted in the birth of single babies. Of these, 12 went-to 38 weeks without complications and they were used as controls. In the other 11 pregnancies resulting in single babies there were 4 cases of threatened abortion, 4 of pre-eclamptic toxemia (PET) and 3 ofboth threatened abortion and PETone resulting in foetal death. Six pregnancies resulted in twins, 1 in triplets and 10 in abortions. The excretion of oestriol, pregnanediol and chorionic gonadotrophin was raised in multiple pregnancies, but not significantly so. The mean and 95% confidence limits for the excretion of cestriol, pregnanediol and CG were calculated for the 12 control pregnancies. The aestriol results were very similar to those obtained by Coyle & Brown (1963). The lower and upper 95% confidence limits of exnretion of pregnanediol were respectively similar to, and about 50% greater than, those obtained by Russell et aL (1960). The differences are probably due to the small sample of patients. The mean excretion of CG, which was expressed in i.u. per 24 h, was about 80% of the results given by Wide (1962) for early morning specimens, but the scatter was greater. In order to detect significant changes at weekly intervals in the excretion of hormones, the ratio was calculated of the amount of hormone excreted between one week and the next throughout the twelve normal pregnancies. Approximate 95% confidence limits of these ratios were then calculated. Using these data it was possible to detect significant decreases when the excretion was in the normal range.
Dose-response associations between accelerometry measured physical activity and sedentary time and all cause mortality: systematic review and harmonised meta-analysis

Abstract Objective To examine the dose-response associations between accelerometer assessed total physical activity, different intensities of physical activity, and sedentary time and all cause mortality. Design Systematic review and harmonised meta-analysis. Data sources PubMed, PsycINFO, Embase, Web of Science, Sport Discus from inception to 31 July 2018. Eligibility criteria Prospective cohort studies assessing physical activity and sedentary time by accelerometry and associations with all cause mortality and reported effect estimates as hazard ratios, odds ratios, or relative risks with 95% confidence intervals. Data extraction and analysis Guidelines for meta-analyses and systematic reviews for observational studies and PRISMA guidelines were followed. Two authors independently screened the titles and abstracts. One author performed a full text review and another extracted the data. Two authors independently assessed the risk of bias. Individual level participant data were harmonised and analysed at study level. Data on physical activity were categorised by quarters at study level, and study specific associations with all cause mortality were analysed using Cox proportional hazards regression analyses. Study specific results were summarised using random effects meta-analysis. Main outcome measure All cause mortality. Results 39 studies were retrieved for full text review; 10 were eligible for inclusion, three were excluded owing to harmonisation challenges (eg, wrist placement of the accelerometer), and one study did not participate. Two additional studies with unpublished mortality data were also included. Thus, individual level data from eight studies (n=36 383; mean age 62.6 years; 72.8% women), with median follow-up of 5.8 years (range 3.0-14.5 years) and 2149 (5.9%) deaths were analysed. Any physical activity, regardless of intensity, was associated with lower risk of mortality, with a non-linear dose-response. Hazards ratios for mortality were 1.00 (referent) in the first quarter (least active), 0.48 (95% confidence interval 0.43 to 0.54) in the second quarter, 0.34 (0.26 to 0.45) in the third quarter, and 0.27 (0.23 to 0.32) in the fourth quarter (most active). Corresponding hazards ratios for light physical activity were 1.00, 0.60 (0.54 to 0.68), 0.44 (0.38 to 0.51), and 0.38 (0.28 to 0.51), and for moderate-to-vigorous physical activity were 1.00, 0.64 (0.55 to 0.74), 0.55 (0.40 to 0.74), and 0.52 (0.43 to 0.61). For sedentary time, hazards ratios were 1.00 (referent; least sedentary), 1.28 (1.09 to 1.51), 1.71 (1.36 to 2.15), and 2.63 (1.94 to 3.56). Conclusion Higher levels of total physical activity, at any intensity, and less time spent sedentary, are associated with substantially reduced risk for premature mortality, with evidence of a non-linear dose-response pattern in middle aged and older adults. Systematic review registration PROSPERO CRD42018091808.
True-Color Face Peeled Images with Botulinum Toxin Injection Sites and Anatomic Landmarks

To allow students and surgeons to learn the sites for botulinum toxin injection, new types of educational images are needed because MRI, CT, and sectioned images are inadequate. This article describes browsing software that displays face pe eled images that allow layers along the curved surface of the face to be peeled gradually in even depths across the surface. Two vol ume models of the head were reconstructed from sectioned images and segmented images of Visible Korean, respectively. These volume models were peeled serially at a thickness of 0.2 mm along the curved surface of the facial skin to construct the peeled images an peeled segmented images. All of the peeled images were marked with botulinum toxin injection sites, facial creases and wrinkles, and f at compartments. All peeled images and the text information were entered into browsing software. The browsing software shows 12 botulinum toxin injection sites on all peeled images of the anterior and lateral views. Further, the software shows 23 anatomic landmarks, 13 facial creases and wrinkles, and 7 face fat compartments. When a user points at any structure on the peeled images, the name of the structure appears. Our software featuring the peeled images will be particularly effective for helping medical students to quic kly and easily learn the accurate facial anatomy for botulinum toxin injection sites. It will also be useful for explaining plastic sur gery procedures to patients and studying the anatomic structure of the human face.
Alarming Eating Behaviours among Adolescents in Egypt

BACKGROUND: Adolescence is a phase of rapid growth and increased nutritional needs. It includes the stressful burden of pubertal changes, both physically and psychologically. Moreover, it is associated with the utmost need for independence and identity formation. An adolescent finds a great way to practice taking their own decisions by making personal food choices. But unfortunately, wrong dietary choices lead to unsatisfactory nutritional status. AIM: To investigate the prevalence of six eating behaviours among adolescents. SUBJECTS AND METHODS: A case-control study was conducted on ninety Egyptian adolescents from 10 to 18 years old. Anthropometric measurements were taken. Body Mass Index (BMI) was calculated. The cases were forty-five children with body mass index ≥ 85th percentile. The control group involved forty-five of matched peers with body mass index < 85th centile. A questionnaire form was constructed according to local customs in Egypt. RESULTS: Two unhealthy behaviours were mostly found in our study group. The first and the predominant one was multitasking while eating practised by 92.1% of candidates and showing the equal distribution in both groups. The second was skipping breakfast and was adopted by 51.7% of the study group with a significantly higher distribution in the < 85th centile group. CONCLUSION: Faulty eating is a behaviour encountered in adolescence irrespective to BMI category. Thus, a normal BMI does not reflect healthy dietary behaviours.
The prognostic value of ADRA1 subfamily genes in gastric carcinoma

Adrenergic receptor α1 (ADRA1) subfamily members, including ADRA1A, ADRA1B and ADRA1D, are understood to participate in cardiac disease and benign prostatic hyperplasia. In addition, adrenergic signals in cell pathways can promote the development of cancer. However, little is understood regarding the associations between ADRA1 subfamily members and gastric carcinoma (GC). The present study investigated the prognostic value of the ADRA1 subfamily genes in GC. Data from a total of 379 patients with GC were obtained from The Cancer Genome Atlas and Gene Expression Omnibus databases. Kaplan-Meier analysis and Cox regression analysis were used to determine associations with overall survival (OS) and to evaluate the median survival time using hazard ratios (HRs) and 95% confidence intervals (CIs). Multivariate survival analysis revealed that low expression levels of ADRA1A (HR, 0.595; 95% CI, 0.426–0.831; adjusted P=0.002) ADRA1B (HR, 0.576; 95% CI, 0.412–0.805; adjusted P=0.001) and ADRA1D (HR, 0.559; 95% CI, 0.398–0.787; adjusted P=0.001) were associated with a favourable OS. Joint-effects analysis demonstrated that combinations of low expression levels of ARDA1A, ARDA1B and ARDA1D were significantly associated with a favourable OS. Overall, the current results suggested that the mRNA expression levels of ARDA1 subfamily members may serve as potential prognostic markers for GC.
Topology sensitive algorithms for large scale uncapacitated covering problem

Solving NP-hard facility location problems in wireless network planning is a common scenario. In our research, we study the Covering problem, a well known facility location problem with applications in wireless network deployment. We focus on networks with a sparse structure. First, we analyzed two heuristics of building Tree Decomposition based on vertex separator and perfect elimination order. We extended the vertex separator heuristic to improve its time performance. Second, we propose a dynamic programming algorithm based on the Tree Decomposition to solve the Covering problem optimally on the network. We developed several heuristic techniques to speed up the algorithm. Experiment results show that one variant of the dynamic programming algorithm surpasses the performance of the state of the art mathematical optimization commercial software on several occasions.
Application of Modified Inception-ResNet and CondenseNet in Lung Nodule Classification

Nowadays lung cancer is one of the most vital malignancies to human health. Restricted by current medical technology, the best solution to lung cancer is still early diagnosis and targeted treatment. Lung nodule is early clinical sign of lung cancer, and low-dose spiral computed tomography is widely considered to be the most effective approach for lung cancer early screening. Through increasing accuracy and stability of diagnosis, CAD can significantly improve quality and efficiency of medical image analysis, reduce the chance of wrong diagnosis caused by subjective factors and missed diagnosis. With rapid development of CNN in image processing, there emerge many kinds of CNN architectures which achieve outstanding performance in image classification. We select Inception-ResNet and CondenseNet as candidate networks due to their outstanding classification performance in ImageNet. Consider reliance among feature map channels and 3D nature of CT scans, 3D-SE-IRNet and 3D-SE-IRNet were designed to further improve accuracy of networks. Results of our experiment prove good performance of CNNs in lung nodule CT scans classification. What’s more, introducing self-mechanism and 3D convolution can significantly improve network’s accuracy.
Evaluation of leukocyte count and biochemical constitutes including oxidant-antioxidant indices in cyclic and acyclic ewes with or without uterine infection

The present study was conducted at Faculty of Veterinary Sciences and Animal Husbandry, Shuhama to determines the alterations in leukocyte and biochemical constituents including oxidant-antioxidant indices in the blood serum of cyclic and acyclic ewes with or without uterine infection. Both infectious and normal ewes were further sub divided into Follicular infectious (FI), Luteal infectious (LI), Follicular normal (FN), Luteal normal (LN) and Acyclic normal (AC). The mean pH of the uterine secretions obtained from ewes suffering from uterine infection was significantly higher (P<0.001) than normal ewes. Neutrophils and TLC in the infectious group was significantly higher than in the normal group of ewes. The NO concentration in follicular fluid was significantly higher (P<0.001) in FI (56.91±11.94) and LI (51.25±8.75) group than FN (11.64±0.96), LN (14.79±2.40) and AC (18.67±1.13) group of ewes. Follicular ascorbate was significantly lower (P<0.05) in FI (30.85±6.28) than FN (73.20±12.16) and AC (63.05±15.09) ewes. Follicular cholesterol concentration was significantly higher (P<0.05) in LI (133.03±1.25) than FN (129.16±0.44), LN (129.96±0.24) and AC (129.42±0.51) ewes. Total protein concentration (g/dl) was significantly higher (P<0.05) in LN than both luteal group of ewes (LN and LI). The mean concentration of serum MDA is shown in Table 8 and Fig 9. The circulatory MDA level (nmol/L) was significantly higher (P<0.05) in FI (1049.32±25.64) and LI group (1030.25±26.69) than AC (952.95±15.55) group of ewes. The Serum Mn level was significantly higher (P<0.05) in LI (7.31±0.49) and LN (6.26±1.13) than FI (3.01±0.98) group of ewes. In general, the zinc concentration was observed to be higher in cyclic normal ewes as compared to cyclic infectious ewes.
The Impact of Patient-Specific Vascular Structure on Localized Cooling in the Human Heart

Acute Myocardial Infarction (AMI) is the leading cause of worldwide death and disability, and approximately 720,000 Americans will experience an AMI in 2018. Studies have shown that rapid hypothermia therapy (< 35°C) before reperfusion in patients with AMI can reduce infarct size by 37%. Localized therapeutic hypothermia has proven the potential to cool heart tissue rapidly following AMI, 3°C in 5 minutes. Using digital imaging software and the finite volume method we analyzed temperature distributions in six patient-specific LCX artery models. A mock circulatory loop was used to determine the exiting temperatures of a standard 7 Fr catheter with flow rates ranging from 9.1 ml/min to 88.9 ml/min for input into our model. The said flow rates were fed into our model using 0.45 W and 128.4 W of cooling, respectively. Our work showed typical exit temperatures were between 35.8°C and 36.9°C using a 29.2 ml/min catheter infusion flow rate in all six heart models. Additionally, results of this study indicate that biovariability in patient-specific vascular structures significantly impacts Therapeutic Hypothermia (TH) treatment methods. These results indicate that further research is needed to examine more accurate physiological effects, such as pulsatile flow. Future models will be used to provide insight to guide more efficient TH device designs and operational parameters to optimize patient outcomes following AMI.
6. Early prediction of breast cancer from mammogram images using classification methods: a comparison

Today the deaths of women in the age group 15–54 are increasing due to malignant cells in breast. It is recognized as the main cause for deaths of women. Day by day, the number of patients are increasing, because its important factors have not been identified yet, and it is unable to prevent. Therefore, the possibility of improvement is only the early diagnosis. Machine learning (ML) techniques can assist the physicians by expanding tools for detection at initial stage and analysis of breast cancer, thus increasing the probability of patient’s survival. For routine breast screening, currently mammography is the commonly accepted imaging method. First, aim of this survey is to develop techniques that are helpful for the prior detection of cancer using different classification methods such as support vector machine, decision tree, artificial neural network (NN), logistic regression and ML-NN, and a comparative study of extracting the feature with and without removing pectoral muscle in the initial stage [1] using a different and effectual method is the another goal behind this study.
Knowledge and attitude toward hearing impairment and vestibular disorders among medical students of north India

Research studies have indicated that there is lack of awareness regarding the adverse effects of hearing loss and vestibular disorder among health professionals and upcoming medical students. So, there is a need to upgrade these professionals and train them which will turn result in proper referrals and better implementation hearing related programs in a health care set-up. Audiologists play a vital role in spreading awareness regarding their role and scope of practice, so they need to initially know the status and level of awareness and knowledge regarding hearing loss and vestibular disorder among the medical students. The present research is being conducted to assess the knowledge and attitude among medical students across various range of hospital set up in northern India regarding hearing loss, vestibular disorder & assessment procedures available. As, these medical students are going to become a qualified physician, henceforth its very necessary that the students have the basic knowledge and must be aware regarding the role of an audiologist/speech language pathologist. A questionnaire-based study (online survey) of 22 questions was adopted from similar kind of studies and was framed with the aim to assess the knowledge and attitude among allied health professionals regrading hearing loss and vestibular disorder. A total of 226 medical students from government and private medical colleges spread across Northern India participated in the present study. The outcome of the present study reveals positive result indicating that participants had good knowledge and attitude towards the basic areas related to hearing loss and vestibular disorders. However, there some drawbacks in certain areas which has be corrected with proper training and knowledge.
MR Assessment of liver and pancreas steatosis in chronic liver diseases

Aim To compare pancreatic and hepatic steatosis by means of magnetic resonance (MR) determined proton density fat fraction (PDFF) in patients with chronic liver disease. Material and Methods This cross-sectional study included 46 adult patients submitted to liver biopsy during their investigation of chronic viral hepatitis (n=19) or other chronic non-alcoholic liver diseases (NALD) (n=27). Liver biopsy was used as the gold standard for hepatic steatosis diagnosing and grading. All patients underwent clinical evaluation and MR imaging with a multi-echo chemical shift-encoded (MECSE) gradient echo sequence for liver and pancreas PDFF quantification. The Spearman correlation coefficient was used to calculate the degree of association between hepatic PDFF and steatosis grades, and between pancreatic PDFF and both steatosis grades and hepatic PDFF measurements. The T–test was performed to compare continuous/ordinal variables across the chronic viral hepatitis and the NALD group. Categorical variables were evaluated by the chi-squared test. There was a significant correlation between hepatic PDFF and steatosis grades (R S =0.875, p<0.001). Also, there was a positive correlation between pancreatic PDFF and both hepatic steatosis grades (R S =0.573, p<0.001) and hepatic PDFF measurements (R S =0.536, p<0.001). In the subgroup of patients with chronic NALD, the significant positive correlation between pancreatic PDFF and both hepatic PDFF (R S =0.632, p<0.001) and liver steatosis (R S =0.608, p<0.001) was maintained, but not in the subgroup of patients with viral hepatitis. Pancreatic fat deposition is correlated with hepatic steatosis in patients with chronic NALD but not in those with chronic viral hepatitis.
The detection of code smell on software development: a mapping study

Context: Although Code Smell can't cause problems with execution of project code, Code Smell can cause some potential problems of maintainability and understandability on the software projects. Meanwhile, as for the research of code smell, current research results pay attention to only several specific Code Smells, and then don't have a comprehensive detection on Code Smell. Objective: To investigate what the objective of Code Smell study is, and to find what kinds of code smells could the detection tools of code smell detect. Methods: According to the Guidelines of Kithenham, we carry out a mapping study about 22 code smells, searching the relevant papers till 2015. Results: Through the process of mapping study, 286 papers are finally included and then classified into our data records. Conclusion: Referring to detection tools, firstly they only take notice of several specific Code Smells, because these code smells can be easily measured in term of quantification. Secondly, experiment systems of these papers are almost lab projects and industrial open source not the industrial closed source projects. Thirdly, the size of most detected lab projects are under 30 KLOC. In the future, we will focus efforts on detection of Code Smells that can't be easily detected, what's more, we will put our studies under a comprehensive environment, using three types of project: lab project, open source industrial project and closed source industrial project.
Portable data collection terminal in the automated power consumption measurement system

Aim of efficiency increasing, automation process of electric energy data collection and processing is very important at present time. High cost of classic electric energy billing systems prevent from its mass application. Udmurtenergo Branch of IDGC of Center and Volga Region developed electronic automated system called “Mobile Energy Billing” based on data collection terminals. System joins electronic components based on service-oriented architecture, WCF services. At present time all parts of Udmurtenergo Branch electric network are connected to “Mobile Energy Billing” project. System capabilities are expanded due to flexible architecture.