Miracle-dz/UniFAR-FTUs huggingface dataset:
A Deep Learning MI - EEG Classification Model for BCIs

Reliable signal classification is essential for using an electroencephalogram (EEG) based Brain-Computer Interface (BCI) in motor imagery (MI) training. While deep learning (DL) is used in many areas with great success, only a limited number of works investigate its potential in this domain. This study presents a DL approach, which could improve or replace current state-of-the-art methods. Here, an end-to-end convolutional neural network (CNN) model is presented, which can be applied to raw EEG signals. It consists of a temporal and spatial convolution layer for feature extraction and a fully connected (FC) layer for classification. The global models were trained on 3s segments of EEG data. Training a subject-independent global classifier reaches 80.10%, 69.72%, and 59.71 % mean accuracy for a dataset with two, three, and four classes, respectively, validated in 5-fold cross-validation. Retraining the global classifier with data from single individuals improves the overall mean accuracy to 86.13%, 79.05%, and 68.93%, respectively. The results are superior to the results reported in the literature on the same data. Generally, the reported accuracy values are comparable with related studies, which shows that the model delivers competitive results. As raw signals are used as input, no pre-processing is needed, which qualifies DL methods as a promising alternative to established EEG classification methods.
DESEMPENHO DA TÉCNICA DEEP LEARNING NA ANÁLISE E CATEGORIZAÇÃO DE IMAGENS DE DEFEITO DE MADEIRA

A inteligência artificial tem tido grandes avanços em seu campo de pesquisa, contribuindo muito em várias áreas, como a análise e categorização de imagens digitais com o emprego de aprendizado de máquina. Existem várias técnicas específicas para o reconhecimento de imagens e sua categorização, uma dessas técnicas, que utiliza redes neurais artificiais, envolve o estudo específico, a extração das características por meio da análise de dados da imagem do objeto que está sendo analisado e a especificação de qual será o impacto dessas características no modelo neural para cada uma das categorias, o que exige a imersão do pesquisador em uma área ou campo de pesquisa que não é de seu domínio. A Deep Learning, utilizando-se das redes neurais convolucionais artificiais tem a capacidade de aprender e extrair as características durante o treinamento, sem a especificação dessas características no modelo, sendo que, geralmente, apresentam resultados melhores do que aqueles observados por modelos de redes neurais que tiveram as características observadas e programadas por humanos. O objetivo desse trabalho é aplicar a Deep Learning com auxílio da linguagem Python e duas bibliotecas chamadas Keras e NumPy, na categorização de um conjunto de imagens de tábuas de madeira, avaliando seu desempenho. Foram elaborados e avaliados alguns modelos de rede neural convolucional aplicados nesse processo, obtendo resultados promissores, sendo que o melhor deles apresentou erro de categorização na ordem de cinco por cento.
Ovid: Neuropsychiatric Effects of Insular Stroke

The neuropsychiatric effects of insular damage in humans have not previously been examined. We therefore examined the neuropsychiatric impairment in seven patients with left insular stroke, six patients with right insular stroke, six patients with left hemisphere noninsular stroke, and six patients with right hemisphere noninsular stroke. Between 4 and 8 weeks after acute stroke, patients were administered a neuropsychiatric battery. Patients with right insular lesions had a greater frequency of subjective anergia and underactivity (Fisher's exact p = .002) as well as tiredness (Fisher's exact p < .002) compared with patients with non-insular lesions or left insular lesions. Subjective feelings of impaired energy or drive after right insular damage may result from disconnection between the insula and the frontal lobe or the anterior cingulate cortex, structures that have been associated with willed action and motor behavior. The insular cortex consists of four to six gyri encircled by the circular insular sulcus. The central insular sulcus divides the human insula into anterior and posterior portions. The main branch of the middle cerebral artery can be found in the central insular sulcus. Small arterioles of the middle cerebral artery (MCA) penetrate the insular cortex (Agustine, 1985). Proximal branches of the MCA also supply frontal, parietal, and temporal cortex. Based on this vascular anatomy, isolated infarctions of the insula rarely occur. The insula is a major component of the limbic brain (Yakovlev, 1959). The insular lobe in primates including humans has connections with the frontal lobe, parietal lobe, temporal lobe, basal nuclei, amygdala, limbic areas, parietal lobe, temporal lobe, and dorsal thalamus (Agustine, 1996). 07/12/10 01:51 Ovid: Neuropsychiatric Effects of Insular Stroke. Page 2 of 8 file:///Users/FacundoManes/Downloads/Neuropsychiatric_Effects_of_Insular_Stroke. html Prior studies have shown that the insula is part of the primary gustatory cortex (Yaxley et al., 1990), somatosensory cortex (Schneider et al., 1993), limbic integration cortex (Markowitsch et al., 1985), autonomic system (Anderson et al., 1994), motor association cortex (Agustine, 1996), vestibular system (Aziz et al., 1995), and participates in language (Agustine, 1996). The insular cortex also has lateralized effects on the nervous system. Right insular stimulation in humans produces increased heart rate and blood pressure, whereas left insular stimulation leads to decreased blood pressure and bradycardia (Oppenheimer, 1993). Although this wide variety of functions has been associated with the insula, the normal role of the insula in emotions as well as the effect of insular damage on emotions has not been identified. The current study examined the neuropsychiatric consequences of restricted infarcts of insular cortex. Based on findings from previous studies, we hypothesized that the consequences would be relatively subtle and might include depression after left hemisphere damage and apathy (Starkstein et al., 1992) or indifference after right hemisphere damage (Starkstein et al., 1989).
SEASONAL VARIATIONS IN PHYTOPLANKTON AND ZOOPLANKTON POPULATION IN RELATION TO SOME ENVIRONMENTAL FACTORS AT THE TIDAL SANGU RIVER IN CHITTAGONG OF BANGLADESH

An experiment was carried out at two selected stations in the Sangu river estuary with the Bay of Bengal, Chittagong, Bangladesh to determine the abundance and monthly variations of phytoplankton and zooplankton communities as well as some physico-chemical parameters of water for a period of twelve months from August 2013 to July 2014. Water temperature, salinity and pH were recorded on the spot during each sampling. The NO3-N and PO4-P of the collected water samples were measured in the laboratory. The highest temperature (28.5 0 C at station I and 29 0 C at station II) was in September and the lowest (20 0 C at station I and 21.2 0 C at station II) in January. Salinity fluctuated from 13.0 to 32.0 ppt at station I in July and February, respectively and 15.0 to 33.0 ppt at station II in July and February, respectively. The highest pH (8.45) was recorded at station I in October. The highest NO3-N (2.3 mg l -1 and 2.1 mg l -1 at station I and II, respectively) and PO4-P (2.9 mg l -1 and 2.5 mg l -1 at station I and II, respectively) was recorded in August. In total 97 phytoplankton species were identified and 2 types could not be identified. Among the phytoplankton, 58 species belonged to Bacillariophyceae, 14 to Dinophyceae, 11 to Chlorophyceae, 6 to Cyanophyceae, 4 to Polycystinea and 4 to Polyhymenophorea. The highest phytoplankton production (117.3 × 10 3 cells l -1 at station I and 104.7×10 3 cells l -1 at station II) was found in August and the lowest (28.77 × 10 3 cells l -1 at station I and 29.6 × 10 3 cells l -1 at station II) in January. Phytoplankton bloom was observed in the study area in August. A total of 16 different zooplankton genera were recorded of which 12 belonging to Copepoda, 3 Rotifera and 1 Decapoda. Copepoda was the dominant group followed by Rotifera and Decapoda. The highest number of zooplankton (1,466 cells l -1 at station I and 1,198 cells l -1 at station II) was recorded in January and the lowest (280 cells l -1 at station I and 172 cells l -1 at station II) in August. The highest number of phytoplankton was appeared in August, which may be due to higher level of nutrients and water quality like temperature, salinity and pH were also within the favorable ranges. But zooplankton population was comparatively lower at that period owing to phytoplankton bloom. Therefore, the findings of this study would be helpful for the conservation of plankton community, biodiversity of the waters and congenial environment of the tidal waters.
A Composite of Heterogeneous Sources Recommenders (CHR)

Recommender systems (RS) are succeeding in extensive acceptance in e-commerce applications to face the data overload problem. The system compares ranging from the user profile to item characteristics, geographic territory, social impact, past behaviors to present information of items that are likely of interest to the user. Generally, research shows that a discreetly devised model using specific interaction produces highly accurate recommendations on a particular dataset. The real business circumstance is more complicated, where diverse combinations of interactions play a vital role and favored in different proportions by a specific user. In this paper, we endeavor to generate a competent framework merging various heterogeneous item relationships by concurrently modeling based on two important questions. The first one is, at a specific point in time, what source of recommendation is a user likely to be responsive. And the other one is the optimal recommendation from an individual source. Our method adopts ideas from knowledge graph representations as well as several expert networks where each of them specializes in a different part of input space. We see that our approach produces more specific recommendations than other options and also presenting instinctive explanations behind the recommendations. General Terms Recommendation System, Knowledge graph, User-item relation, CHR
Proceedings, 10 World Congress of Genetics Applied to Livestock Production Animal wise Variation in Enteric Methane Output Traits and its Relationships with Feed Efficiency in Dairy Cattle: A Longitudinal Model Analysis

Data on daily milk yield, feed intake as well as simultaneous measurements of daily methane output of 429 first-lactation Nordic Red cows of the MTT research farm was used. Repeatability of different methane phenotypes as well as relationships between feed efficiency (FE) and methane output traits were estimated at different stages of lactation. Cows were divided into divergent FE (high vs. low) groups to ascertain whether cows selected for divergent FE phenotypes also exhibit divergent methane phenotypes. Results showed that relationships between FE and methane output traits varied with stages of lactation. The repeatability of methane phenotypes across lactation stages ranged from 0.1 to 0.7 indicating cow-wise variations suggesting selection for lower methane output could be one mitigation strategy. Divergent FE phenotypes also exhibited divergent methane phenotypes in terms of daily methane output and also per kg of dry matter intake.
Exploration of the Advanced Metering Infrastructure and its Application in Smart Grids

In this exploration emphasis is on the Smart Grid (SG), the role of the Advanced Metering Infrastructure (AMI) in SG and security concerns in the AMI. This work is primarily on AMI, which is responsible for gathering all the data and information from loads and consumers, as the benchmarks for SG. AMI is also concerned with therealization of control signals and instructions to effect necessary regulatorytasks, Security in line with threats to the AMI. In this assessmentfocus is on SG and some of its structures, establish the link between SG and AMI, explain three main subsystems of AMI and discuss related security issues.
A Cross-Sectional Study of Pulmonary Function Test Patterns in Patients of Rheumatoid Arthritis Attending a Tertiary Care Hospital of Kolkata

Rheumatoid Arthritis (RA) is a chronic inflammatory disorder of unknown etiologycharacterized by symmetrical peripheral polyarthritis often resulting in joint damage and physical disability. Several extraarticular manifestations are also associated with RA out of which pleuro-pulmonary involvement is the most important as it bears clinical significance in terms of increased morbidity and mortality. While several earlier studies have declared Interstitial Lung Disease (ILD) to be the most serious form, there are emerging evidences of other forms of pulmonary involvement but lack of studies categorising them in eastern India. Pulmonary Function Tests (PFTs) are widely used to provide objective measure of lung function for detecting and quantifying such lung diseases. The primary aim of this work is therefore to find out the association of pulmonary diseases with RA depending on PFT parameters and to establish the usefulness of PFTs to diagnose such lung diseases even before the appearance of symptoms to aid early intervention. 50 RA cases and 50 healthy controls of either sex and age above 16 years were recruited for Pulmonary Function Tests . Data mining and statistical analysis revealed increased frequency of lung diseases in 76% of RA cases and significant difference in various PFT parameters as compared to normal healthy controls. 34% of cases had Restrictive lung disease, 4% had obstructive lung disease, 22% had small airway disease and rest 16% had mixed pulmonary disease. Thus PFT can be regarded as an effective diagnostic, prognostic and research tool to detect and categorize lung diseases associated with Rheumatoid Arthritis and ultimately guiding treatment protocols.
Thymus vulgaris Attenuates Myleran-induced Reproductive Damage by Decreasing Oxidative Stress and Lipid Peroxidation in Male Rats

Context: Thymus vulgaris is an herbal with potent antioxidant and it has been shown to have beneficial effects during short-term administration. Myleran (MYL) is used for treatment of certain types of tumors. MYL produces free radicals and induces disturbance in sperm parameters. Aims: This study is designed to assess the effects of T. vulgaris against damage to the male rats' reproductive features induced by MYL. Subjects and Methods: Sixty-four male Wistar rats were randomly assigned into eight groups: control group; MYL (10 mg/kg) group; T. vulgaris groups (4.5, 9, and 18 mg/kg); and MYL (10 mg/kg) + T. vulgaris groups (4.5, 9, and 18 mg/kg; separately). Treatments were administered daily intraperitoneal injection for 60 days. Total antioxidant capacity, sperm factors, malondialdehyde (MDA), testosterone, and germinal layer height were analyzed. Results: Whole variables of MYL group decreased signifcantly compared to the control group (P < 0.05) except MDA level (which increased). The T. vulgaris and T. vulgaris + MYL treatments in all doses increased all parameters significantly except MDA level (which decreased) compared to the MYL group (P < 0.05). No significant modifications were observed in all T. vulgaris groups compared to the control group (P > 0.05). Conclusions: T. vulgaris reduces the poisonous properties of MYL on male reproductive factors.
Communication and Respect for Patient Value as Significant Factors in Patient-Centered Infertility Care: A Survey of Patients' Experiences in Two Infertility Centers

Context: The patient-centered infertility care (PCIC) approach emphasizes the patient's role in choosing the most appropriate clinical approach in infertility care. The concept can improve the patient satisfaction with care performed as well as the efficacy of the treatment. In addition, this concept can also lead to improve collaboration between patient and care provider, ultimately supporting a more cost-effective health-care scheme. Aims: This study was developed in order to determine patients' experience in their PCIC.Settings and Design: This is a descriptive study. We conducted the study in two fertility care clinics, Clinic A and Clinic B. Subjects and Methods: The Patient-Centeredness Questionnaire-Infertility (PCQ-I) was used, consisting of 7 essential themes. The questionnaire was completed by consenting patients in two infertility clinics. Statistical Analysis Used: The questionnaire was analyzed using the Statistical Package for the Social Sciences 21 version statistical software. Results: Eighty-eight Clinic A patients who completed the questionnaire responded that the best element of their treatment received was communication (correlation with global score [CGS]: 0.747), whereas the least acceptable aspect was the low accessibility (CGS: 0.211). A total of 20 Clinic B patients responded that the best element of their treatment received was respect for the patient's value (CGS: 0.866), whereas the least acceptable aspect was also the low level of accessibility (CGS: 0.193). Conclusions: The PCQ-I can be used to evaluate patients' experience during treatment and may help the health-care provider to improve their performance.
A rare case of extraperitoneal gastrointestinal stromal tumor arising from kidney

Mesenchymal tumors of the gastrointestinal tract which arise from the interstitial cells of Cajal and express C-Kit protein or CD117 on immunohistochemistry are known as gastrointestinal stromal tumors (GISTs). Extraperitoneal GISTs (EGISTs) are rare tumors arising from the mesentery, omentum, or retroperitoneum. We report a case of a 52-year-old male who presented with a huge abdominal lump arising from the right renal capsule that was found to be EGIST on histopathological examination and immunohistochemistry.
Job characteristics and work adjustment among Iranian nurses: A correlational study

Background: Job characteristics (JCs) are an important factor in successful task performance and successful work adjustment (WA). Objectives: This study aimed to evaluate the relationship between JCs and WA among Iranian nurses. Methods: This descriptive correlational study was carried out in 2018 on 190 nurses randomly recruited from Shahid Beheshti University Hospital, Kashan, Iran. Data were collected using a demographic questionnaire, the JCs Questionnaire, and the WA Questionnaire. Data analysis was performed through the independent-samples t-test, the one-way analysis of variance, the Pearson correlation analysis, and the linear regression analysis. Results: The total mean scores of JCs and WA were, respectively, 70.43 ± 45.07 and 3.23 ± 0.43. JCs had significant but weak correlation with WA (r = 0.29; P = 0.001). JCs, age, and employment status were identified as predictors of WA (r2 = 0.076; P = 0.001). Conclusion: Nursing managers can promote nurses' WA by paying greater attention to their perception of their JCs and promoting their professional autonomy.
Analysis of Stability in Time of Marginal Adaptation of Endosequence Root Repair Material on Biological Samples

Introduction: The introduction of mineral trioxide aggregate (MTA) and bioceramic sealers increased the success rate of endodontic surgery and perforation repair. The aim of this study was to evaluate the marginal adaptation at different times of endosequence root repair material (ERMM) in order to evaluate its dimensional stability using variable pressure-scanning electron microscope (VP-SEM). Material And Methods: Fourty-eight teeth were selected shaped up to a master apical size of 25. Then a 3 mm cut perpendicular to the long axis and a retrograde cavity preparation were performed. In order to obtain 2 mm thick sample a second cut was done and, in this disk, ERMM was inserted. The samples were stored at 37°. The samples were divided into four time-depending groups observed with VP-SEM at time 0 (Group 1) and after 2 (Group 2), 7 (Group 3) and 30 days (Group 4) after ERRM setting. Statistical analysis with one way-ANOVA test was performed (95%). Results: None of the four groups analyzed showed a complete marginal adaptation between dentin and ERRM. Instead, in all groups ERRM exhibited a completely preserved marginal adaptation to the dentin wall in all time-dependent groups. The mean (±SD) gap value was for time 0, 3.91 (±2.55) µm after 2 days, 4.32 (±2.69), after 7 days 4.49 (±2.53), and after 30 days 4.81 (±2.85) µm. No statistically significant difference was found between the four groups. Conclusions: The results of the present study demonstrate the dimensional stability over time of ERMM.
Lignes directrices sur la prophylaxie à la vitamine K chez les nouveau-nés

Résumé Les nouveau-nés sont vulnérables à une hémorragie par carence en vitamine K (HCVK) en raison de réserves prénatales insuffisantes et d’un déficit de vitamine K dans le lait maternel. D’après une analyse systématique des données probantes jusqu’à présent, une injection unique de vitamine K par voie intramusculaire (IM) à la naissance prévient l’HCVK avec efficacité. Selon les données scien tifiques actuelles, une dose unique ou des doses répétées de vitamine K par voie orale (PO) sont moins efficaces pour prévenir l’HCVK que la vitamine K IM. La Société canadienne de pédiatrie et Le Collège des médecins de famille du Canada recommandent l’administration IM systématique d’une dose unique de 0,5 mg à 1,0 mg de vitamine K à tous les nouveau-nés. L’administration de vitamine K PO (2,0 mg à la naissance, repris à l’âge de deux à quatre semaines et de six à huit semaines) doit être réservée aux nouveau-nés dont les parents refusent l’administration de vitamine K IM. Les dispensateurs de soins devraient expliquer aux parents que leur nouveau-né court un plus grand risque d’HCVK si cette posologie est privilégiée. Les données probantes actuelles sont insuffisantes pour recommander l’administration systématique de vitamine K par voie intraveineuse aux nouveau-nés prématurés en soins intensifs.
HCLIM38: a flexible regional climate model applicable for different climate zones from coarse to convection-permitting scales

Abstract. This paper presents a new version of HCLIM, a regional climate modelling system based on the ALADIN–HIRLAM numerical weather prediction (NWP) system. HCLIM uses atmospheric physics packages from three NWP model configurations, HARMONIE–AROME, ALARO and ALADIN, which are designed for use at different horizontal resolutions. The main focus of HCLIM is convection-permitting climate modelling, i.e. developing the climate version of HARMONIE–AROME. In HCLIM, the ALADIN and ALARO configurations are used for coarser resolutions at which convection needs to be parameterized. Here we describe the structure and development of the current recommended HCLIM version, cycle 38. We also present some aspects of the model performance. HCLIM38 is a new system for regional climate modelling, and it is being used in a number of national and international projects over different domains and climates ranging from equatorial to polar regions. Our initial evaluation indicates that HCLIM38 is applicable in different conditions and provides satisfactory results without additional region-specific tuning. HCLIM is developed by a consortium of national meteorological institutes in close collaboration with the ALADIN–HIRLAM NWP model development. While the current HCLIM cycle has considerable differences in model setup compared to the NWP version (primarily in the description of the surface), it is planned for the next cycle release that the two versions will use a very similar setup. This will ensure a feasible and timely climate model development as well as updates in the future and provide an evaluation of long-term model biases to both NWP and climate model developers.