Miracle-dz/UniFAR-FTUs huggingface dataset:
Garment Categorization Using Data Mining Techniques

The apparel industry houses a huge amount and variety of data. At every step of the supply chain, data is collected and stored by each supply chain actor. This data, when used intelligently, can help with solving a good deal of problems for the industry. In this regard, this article is devoted to the application of data mining on the industry’s product data, i.e., data related to a garment, such as fabric, trim, print, shape, and form. The purpose of this article is to use data mining and symmetry-based learning techniques on product data to create a classification model that consists of two subsystems: (1) for predicting the garment category and (2) for predicting the garment sub-category. Classification techniques, such as Decision Trees, Naïve Bayes, Random Forest, and Bayesian Forest were applied to the ‘Deep Fashion’ open-source database. The data contain three garment categories, 50 garment sub-categories, and 1000 garment attributes. The two subsystems were first trained individually and then integrated using soft classification. It was observed that the performance of the random forest classifier was comparatively better, with an accuracy of 86%, 73%, 82%, and 90%, respectively, for the garment category, and sub-categories of upper body garment, lower body garment, and whole-body garment.
Interações agonísticas e forrageamento do peixe-donzela, Stegastes fuscus (Peciformes: Pomacentridae)

Damselfishes from the genus Stegastes display aggressive behavior towards other herbivores inside their territories. Models developed to explain this territorial defense have focused on the cost of territorial defense, as measured by changes in time allocated to feeding, as a key determinant of the evolutionary stability of this behavior. In the present work, feeding and chasing behavior rates were measured in the common Brazilian damselfish (Stegastes fuscus) to test if feeding time decreases as time spent in agonistic interactions increases. Furthermore, we tested if juveniles have higher feeding rates than adults due to higher size-specific metabolic rates, and if adults have higher chasing rates than juveniles. The correlation between feeding and chasing rates were not significant (r=-0.122). Mean number of bites on algae at different life stages were also not significantly different (ANOVA F= 2.864; p= 0.067). Mean chasing bouts of juveniles were significantly lower than for subadults and adults (ANOVA F= 3.629; p= 0.034; SNK juvenile < subadult = adult). Adults and subadults seem to spend more time in agonistic behavior due to their dominance of territories based on aggressive behavior and larger size. These data suggest that the time S. fuscus invests in territory defense does not affect its feeding rates, and that the cost to feeding time of agonistic behavior appears to be minimal for this species.
Effects of Maximal Anaerobic Exercise on Neutrophil Oxidants/Antioxidants in among the Sportsmen Trained at Various Levels

The influence of very high intensity exercise on antioxidant capacity and oxidative burst activity of neutrophils in sportsmen with various levels of training status were examined. Blood samples from sportsmen with high (n=12, 5 hours training program for a week), moderate (n=9, 2-5 hours training program for a week), and low physical activity (n=11, less than 2 hours training program for a week) were collected to determine superoxide anion production, superoxide dismutase, catalase and glutathione peroxidase activity and TBARS in neutrophils before and after an “anaerobic loading coordination test”. The pre-exercise values of SOD activity were significantly higher in high and moderate physical activity groups in comparison with the low physical activity group (p<0,05). The TBARS levels of the low physical activity group was higher than the moderate and high physical activity groups during both pre and post-exercise periods (p<0, 05). A training program of 2-5 hours per week may be a beneficial strategy to up-regulate the antioxidant defense system in neutrophils.
The association of anthropometric parameters with markers of insulin and leptin secretion and resistance in type 2 diabetes mellitus

Abstract Aim: We evaluated the association between anthropometric parameters and markers of insulin and leptin secretion/resistance in patients with type 2 diabetes mellitus (T2DM). Material and methods: This post-hoc data analysis from a cross-sectional study included 176 T2DM patients. Laboratory tests (serum leptin, soluble form of leptin receptor (sObR), C peptide, glycemic and lipid parameters) and anthropometric parameters were obtained, adiposity indexes (including body adiposity index (BAI), visceral adiposity index (VAI)), indicators of insulin resistance, β-cell function, and leptin resistance (Free Leptin Index, FLI) were calculated. Results: The body mass index (BMI), diabetes duration, VAI and leptin correlated independently with HOMA-IR, while BMI, diabetes duration and HbA1c with HOMA-B. The total body fat mass (TBFM), C peptide, diabetes duration, BMI and BAI correlated with leptin concentrations, while the first three with FLI. VAI was an indicator of insulin resistance (β=0.166, p=0.003), while BAI of leptin secretion (β=0.260, p=0.010). TBFM strongly associated with leptin resistance and secretion (β=0.037, r=0.688, p<0.0001, and β=0.521, r=0.667, p<0.0001), and BMI correlated weakly with insulin secretion and resistance. While insulin and leptin secretion increased progressively with BMI, leptin and insulin resistance became significant only in case of obesity. The sObR was significantly associated with C peptide concentrations (β=-0.032; p=0.044), but not with HOMA-B or -IR. A strong positive correlation between the C peptide/leptin ratio and non-fat mass /TBFM ratio was noted (r=0.62 [0.52, 0.71], p<0.0001). Conclusions: Parameters of peripheral adiposity correlated better with markers of leptin system, and those of visceral adiposity with markers of insulin secretion/resistance. The sObR correlated independently and negatively with C peptide.
Paediatric Intussusception: A Clinical Scoring System to Predict the Risk of Operative Intervention

Abstract Background Intussusception is a common cause of obstruction in paediatric patients. Rapid clinical recognition and treatment is important to prevent potentially fatal complications. The present study aims to derive a clinical scoring system for prediction of risk of operative intervention in patients with intussusception. Materials and methods Data of 100 patients with intussusception were analyzed retrospectively, and a score was calculated based on clinical parameters – age, presence/absence of symptoms and signs such as abdominal distention, vomiting, lump abdomen, red currant jelly stools and duration of abdominal pain. The maximum score was 12, and the minimum score was 6. This score was then applied to other 50 consecutive patients with intussusception. Results Of 100, 13 patients required operative intervention; 87 patients were managed by hydrostatic reduction. In all, four patients with a score of 12 and five patients with a score of 11 required operative intervention. Seven patients had a score of 10, out of which four (57.14%) required operative intervention. A total of 87 patients who had a score of 10 or less were successfully managed non-operatively by ultrasound-guided hydrostatic reduction. In the next 50 patients, two patients with a score of 9 and all patients with scores of 10 and 11 required operative intervention. Thus, age less than 3 months and more than 2 years, presence of symptoms such as abdominal lump, red currant jelly stools and duration of abdominal pain of 2 or more days were strong predictors of operative intervention. Conclusion This clinical score helps to predict the risk of operative intervention required in a child with a diagnosis of intussusceptions – duration of abdominal pain of 48 h or more, presence of abdominal distention and lump and red currant jelly stools are strong predictors of need of operative intervention in patients with intussusception. Higher the score (8 or more, as concluded by this study), more the probability of requiring operative intervention in these patients. Though limited, this study could serve as a pilot work to develop a user-friendly score for early surgical decision making in the management of paediatric intussusception.
Neuromanagement: the scientific approach to contemporary management

Abstract The last years have been marked by the attempts to approach the management discipline from a new, innovative perspective, in accordance with the present times, marked by complex challenges and highly increased competition. Given the importance and impact of scientific advances and also the explosion of research in the field of neuroscience, management had to be redefined and its critical variables had to be analyzed from a different perspective. An interdisciplinary vision was needed to enable future researches and explanations of the decision-making processes, leadership practices, change management, innovation, creativity, human resources performance, engagement of people and emotions. Literature review has been made, from the classical management theories and models, the historical concepts of man, to the new, full of perspectives spectrum of neuroscience, brain functioning and, its infinite potential, that opened new horizons, uncovered resources and tools to face the realities of the new business world. The main purpose of this article is to overview the transition from management to neuromanagement, from leadership to neuroleadership, the role and impact of these concepts on the holistic approach of management science. This evolution allows not only the confirmation of a set of assumptions but also access to a wide range of knowledge, with multiple possibilities of applications in organizational management and opens avenues for future researches.
Contrasting effects of habitat quantity and quality on moth communities in fragmented landscapes

Habitat loss is commonly identified as a major threat to the loss of global biodiversity. In this study, we expand on our previous work by addressing the question of how lepidopteran species richness and composition vary among remnants of North American eastern deciduous forest located within agricultural or pastoral landscapes. Specifically, we tested the relative roles of habitat quantity (measured as stand area and percent forest in the greater landscape) and habitat quality (measured as tree species diversity) as determinants of moth species richness. We sampled > 19 000 individuals comprising 493 moth species from 21 forest sites in two forested ecoregions. In the unglaciated Western Allegheny Plateau, the species richness of moths with woody host plants diminished as forest stand size and percent forest in the landscape decreased, but the total species richness and abundance of moths were unaffected by stand size, percent forest in the landscape, or tree species diversity. In contrast, the overall species richness and abundance of moths in the glaciated North Central Tillplain were affected primarily by tree species diversity and secondarily by forest size. Higher tree species diversity may reduce species loss from smaller forest stands, suggesting that small, diverse forests can support comparable numbers of species to those in less diverse, large stands. Smaller forests, however, contained a disproportionate number of moth species that possess larvae known to feed on herbaceous vegetation. Thus, although woody plant feeding moths are lost from forests with changes in stand area, new species appear capable of recolonizing smaller fragments from the surrounding habitat matrix. Our study further suggests that when species replacement occurs, local patch size and habitat quality may be more important than landscape context in determining the community structure of forest Lepidoptera.
The naturalisation of plants in urban Auckland, New Zealand 3. Catalogue of naturalised species

Abstract Tabulations giving botanical name, common name, family, type of introduction, region of origin, period of naturalisation, life mode, reproduction, dispersal, habitat, and success status of naturalised plants are presented. Separate lists give 307 species which are freely naturalised, and 308 species restricted in numbers and/or distribution. A third list gives the names of species observed in the wild state but not regarded as naturalised.
SAMHD1 promotes oncogene-induced replication stress

Oncogenes induce DNA replication stress in cancer cells. Although this was established more than a decade ago, we are still unravelling the molecular underpinnings of this phenomenon, which will be critical if we are to exploit this knowledge to improve cancer treatment. A key mediator of oncogene-induced replication stress is the availability of DNA precursors, which will limit ongoing DNA synthesis by cellular replicases. In this study, we identify a potential role for nucleotide catabolism in promoting replication stress induced by oncogenes. Specifically, we establish that the dNTPase SAMHD1 slows DNA replication fork speeds in human fibroblasts harbouring an oncogenic RAS allele, elevating levels of endogenous DNA damage, and ultimately limiting cell proliferation. We then show that oncogenic RAS-driven tumours express reduced SAMHD1 levels, suggesting they have overcome this tumour suppressor barrier, and that this correlates with worse overall survival for these patients.
A Novel Solution Based on Scale Invariant Feature Transform Descriptors and Deep Learning for the Detection of Suspicious Regions in Mammogram Images

Background: Deep learning methods have become popular for their high-performance rate in the classification and detection of events in computer vision tasks. Transfer learning paradigm is widely adopted to apply pretrained convolutional neural network (CNN) on medical domains overcoming the problem of the scarcity of public datasets. Some investigations to assess transfer learning knowledge inference abilities in the context of mammogram screening and possible combinations with unsupervised techniques are in progress. Methods: We propose a novel technique for the detection of suspicious regions in mammograms that consist of the combination of two approaches based on scale invariant feature transform (SIFT) keypoints and transfer learning with pretrained CNNs such as PyramidNet and AlexNet fine-tuned on digital mammograms generated by different mammography devices. Preprocessing, feature extraction, and selection steps characterize the SIFT-based method, while the deep learning network validates the candidate suspicious regions detected by the SIFT method. Results: The experiments conducted on both mini-MIAS dataset and our new public dataset Suspicious Region Detection on Mammogram from PP (SuReMaPP) of 384 digital mammograms exhibit high performances compared to several state-of-the-art methods. Our solution reaches 98% of sensitivity and 90% of specificity on SuReMaPP and 94% of sensitivity and 91% of specificity on mini-MIAS. Conclusions: The experimental sessions conducted so far prompt us to further investigate the powerfulness of transfer learning over different CNNs and possible combinations with unsupervised techniques. Transfer learning performances' accuracy may decrease when the training and testing images come out from mammography devices with different properties.
An improved WENO-Z scheme with symmetry-preserving mapping

Since the classical weighted essentially non-oscillatory (WENO) scheme is proposed, various improved versions have been developed, and a typical one is the WENO-Z scheme. Although better resolution is achieved, it is shown in this article that, the result of WENO-Z scheme suffers evident distortion in the long-time simulation of the linear advection equation. In order to fix the problem of WENO-Z, a symmetry-preserving mapping method is proposed in this article. In the original mapping method, the weight of each sub-stencil is used to map, which is demonstrated to cause asymmetric improvement about a discontinuity. This asymmetric improvement will lead to a distorted solution, more severe with longer output time. In the symmetry-preserving mapping method, a new variable related to the smoothness indicator is selected to map, which has the same ideal value for each sub-stencil. Using the new mapping method can not only fix the distortion problem of WENO-Z, but also improve the numerical resolution. Several benchmark problems are conducted to show the improved performance of the resultant scheme.
Assessment of Complications of Transurethral Resection of the Prostate Using Clavien-Dindo Classification in South Eastern Nigeria

Background: Benign prostatic hyperplasia is one of the most common diseases in aging males. For men that need surgical treatment, transurethral resection of the prostate (TURP) is the gold standard. The aim of this article is to retrospectively review the complications of TURP over a 3-year period in Nnamdi Azikiwe University Teaching Hospital Nnewi and a Specialist Urology Center in Awka all in Anambra South-East Nigeria using Clavien-Dindo classification. Patients and Methods: The study was a retrospective review of consecutive TURPs done over a 3-year period. Patients' information and complications arising from the procedure were collected and graded using the Clavien-Dindo classification with a pro forma designed for the study and analyzed with the Statistical Package for the Social Sciences software version 20.0. Results: Ninety-seven patients had TURP during the period of this study. Twenty-nine complications were noted in 24 patients. The postoperative morbidity rate was 24.74%, and no mortality was recorded. Most of the complications were grade 2 (55%), followed by grade 1 and 3 (20.69%) each. Grade 4a complication accounted for only 3.45%. No grade 5 complication was recorded. Conclusion: TURP is safe, with minimal life-threatening morbidity even in a resource-poor economy where TURP is gradually gaining grounds.
Personality characteristics of online gamers

Manoj Kumar Sharma, Nitin Anand1, Keshava D. Murthy2 Department of Clinical Psychology, Service for Healthy use of Technology Clinic, National Institute of Mental Health and Neurosciences, 1Department of Clinical Psychology, National Institute of Mental Health and Neurosciences, 2Department of Psychiatric Social Work, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India. E-mail: shutclinic@gmail.com
Genetic variability, character association and path analysis for seed yield and component traits under two environments in Indian mustard

Total 50 genotypes of Indian mustard [Brassica juncea (L.) Czern & Coss. ] collected from different parts of country to study the revealed substantial genetic variability in the material under timely sown (E1) and late sown (E2) environments. Genotypic and phenotypic coefficients of variance were higher for number of secondary branches/ plant and seed yield/ plant under both the environments. High heritability in both the environments was observed for days to 1st flowering, siliquae length and seed yield/ plant. Genetic advance values were high for plant height, number of siliqua on main shoot and seed yield / plant under both the environments, whereas, genetic advance as % of mean was high for seed yield / plant, 1000- seed weight, number of secondary branches / plant and siliqua length. Seed yield / plant showed a positive significant correlation with main shoot length, siliqua length, number of seeds / siliqua and 1000- seed weight in E1, whereas in E2 it was positively associated with plant height, main shoot length, number of siliqua on main shoot and 1000- seed weight. Days to 50% flowering showed maximum positive direct and indirect effect on seed yield under both the environments.
Gut Microbiota and Cardiovascular Disease

Fecal microbial community changes are associated with numerous disease states, including cardiovascular disease (CVD). However, such data are merely associative. A causal contribution for gut microbiota in CVD has been further supported by a multitude of more direct experimental evidence. Indeed, gut microbiota transplantation studies, specific gut microbiota–dependent pathways, and downstream metabolites have all been shown to influence host metabolism and CVD, sometimes through specific identified host receptors. Multiple metaorganismal pathways (involving both microbe and host) both impact CVD in animal models and show striking clinical associations in human studies. For example, trimethylamine N-oxide and, more recently, phenylacetylglutamine are gut microbiota–dependent metabolites whose blood levels are associated with incident CVD risks in large-scale clinical studies. Importantly, a causal link to CVD for these and other specific gut microbial metabolites/pathways has been shown through numerous mechanistic animal model studies. Phenylacetylglutamine, for example, was recently shown to promote adverse cardiovascular phenotypes in the host via interaction with multiple ARs (adrenergic receptors)—a class of key receptors that regulate cardiovascular homeostasis. In this review, we summarize recent advances of microbiome research in CVD and related cardiometabolic phenotypes that have helped to move the field forward from associative to causative results. We focus on microbiota and metaorganismal compounds/pathways, with specific attention paid to short-chain fatty acids, secondary bile acids, trimethylamine N-oxide, and phenylacetylglutamine. We also discuss novel therapeutic strategies for directly targeting the gut microbiome to improve cardiovascular outcomes.
Poststroke depression among stroke survivors in Sub-Himalayan region

Introduction: Stroke is a leading cause of long-term disability and loss of productive life in developing countries, including India. Ischemic stroke accounts for 85% of all types of stroke with a prevalence of 5%–15% among acute stroke incidents. The prevalence of poststroke depression among acute stroke survivors is varied from 5 to 54%. The study focused on depression among stroke survivors who actively involved in a home-based rehabilitation. Materials and Methods: A descriptive cross-sectional survey was conducted by enrolling 138 stroke survivors consecutively at tertiary care public hospital, North India. A sociodemographic and clinical profile sheet was used to seek information on personal and clinical variables. Information on disability, depression, performance in the activity of daily living, and degree of stroke severity was ascertained by using the Modified Rankin Scale (MRS), Physical Health Questionnaire (PHQ-9), Barthel Index, and National Institutes of Health Stroke (NIHSS). After binary logistic regression model, a multivariate logistic regression was applied to detect the independent predictor of depression. Results: Over 86% (119) of the stroke survivors had no symptoms of depression, and only 14% (19) were reported to have symptoms of depression. Poststroke depression found significant association with disability (P = 0.029) and functional independence (P = 0.0001). A significant difference was observed in the gender (P = 0.018), types of stroke (P = 0.0001), and location of lesion (P = 0.0001) with depression. Binary logistic regression model shows that disability (MRS) status of stroke survivor (P < 0.0001; 95% CI 1.998–2.638) and functional independence (BI) (P < 0.0001; 95% CI –0.034–0.020) are same as independent predictors for depression. Conclusion: Clinician should use the community reintegration, referral, and mandatory screening of the stroke survivors at follow-up visit to rule out the probability of occurrence of poststroke depression.