Miracle-dz/UniFAR-FTUs huggingface dataset:
Attribution Analysis of Long-Term Trends of Aridity Index in the Huai River Basin, Eastern China

This paper aims to combinedly investigate the spatiotemporal trends of precipitation (Pre), reference evapotranspiration (ET0), and aridity index (AI) by employing nonparametric methods based on daily datasets from 137 meteorological stations during 1961–2014 in the Huai River Basin (HRB). The dominant factors influencing ET0 and AI trends were also explored using the detrended and differential equation methods. Results show that (1) Pre, ET0, and AI were much larger in summer than in other seasons, and AI had a nonsignificant increasing trend in annual time scale, while Pre and ET0 exhibited decreasing trends, but AI showed a downward trend in spring and autumn (becoming drier) and an upward trend during summer and winter due to increased Pre (becoming wetter); (2) lower AI values were identified in north and higher in south, and lower ET0 was identified in south and higher in north in annual time scale, growing season and spring, while ET0 decreased from west to east in summer and winter, the spatial distribution of Pre was similar to that of AI; (3) for ET0 trends, in general, wind speed at two-meter height (u2) was the dominant factor in spring, autumn, winter, and annual time scale, while in other seasons, solar radiation (Rs) played a dominant role; (4) for AI trends, AI was mostly contributed by Pre in spring, autumn, and winter, the Rs contributed the most to AI trend in growing season and summer, then in annual time scale, u2 was the dominant factor; (5) overall, the contribution of Pre to AI trends was much larger than that of ET0 in spring, autumn, and winter, while AI was mostly contributed by ET0 in annual time scale, growing season and summer. The outcomes of the study may improve our scientific understanding of recent climate change effects on dry–wet variations in the HRB; moreover, this information may be utilized in other climatic regions for comparison analyses.
Quantitative diffusion weighted imaging parameters in tumor and peritumoral stroma for prediction of molecular subtypes in breast cancer

Breast cancer can be classified into four molecular subtypes of Luminal A, Luminal B, HER2 and Basal-like, which have significant differences in treatment and survival outcomes. We in this study aim to predict immunohistochemistry (IHC) determined molecular subtypes of breast cancer using image features derived from tumor and peritumoral stroma region based on diffusion weighted imaging (DWI). A dataset of 126 breast cancer patients were collected who underwent preoperative breast MRI with a 3T scanner. The apparent diffusion coefficients (ADCs) were recorded from DWI, and breast image was segmented into regions comprising the tumor and the surrounding stromal. Statistical characteristics in various breast tumor and peritumoral regions were computed, including mean, minimum, maximum, variance, interquartile range, range, skewness, and kurtosis of ADC values. Additionally, the difference of features between each two regions were also calculated. The univariate logistic based classifier was performed for evaluating the performance of the individual features for discriminating subtypes. For multi-class classification, multivariate logistic regression model was trained and validated. The results showed that the tumor boundary and proximal peritumoral stroma region derived features have a higher performance in classification compared to that of the other regions. Furthermore, the prediction model using statistical features, difference features and all the features combined from these regions generated AUC values of 0.774, 0.796 and 0.811, respectively. The results in this study indicate that ADC feature in tumor and peritumoral stromal region would be valuable for estimating the molecular subtype in breast cancer.
Identifying factors associated with sleep disturbances among health workers using WhatsApp in Malaysia

Background: The intricate demand of 24/7 work-lifestyle in modern medical practice has prompted health care professionals to adopt the ubiquity of smartphones for virtual communications through multiple apps functionality like WhatsApp. While these mobile apps have shown a commensurate increase globally, studies have hypothesized that such technological addictions could potentially harm individual’s sleep health. This preliminary investigation aims to explore the prevalence and factors associated with sleep disturbances (subjective poor sleep quality and perceived excessive daytime sleepiness) among health care workers using WhatsApp in Malaysia. Methods: A cross-sectional study was conducted among 306 health care workers comprising of doctors and nurses in a Malaysian public health hospital. A self-administered questionnaire consisting of items on socio-demographics, WhatsApp usage characteristics, perceived sleep disturbances, addictive lifestyles and validated items on psychological factors was used. Data were analyzed at descriptive, univariate and multivariate logistic regression levels. Results: The prevalence of sleep disturbances among health workers using WhatsApp in our study sample was relatively high. In multivariate analyses, respondents aged 30 years or younger and those being anxious when denied access to “WhatsApp-ing” activities had significantly higher odds of experiencing poor sleep quality and excessive daytime sleepiness. Women had significantly higher odds of experiencing poor sleep quality than men. Respondents who initiate WhatsApp-ing activities immediately after sleep experienced significantly higher odds of excessive daytime sleepiness as compared to those who don’t. Conclusions: Perceived sleep disturbances among health workers in our sample was significantly associated with demographics, usage characteristics and psychological factors. It warrants further robust research as the use of mobile phone applications among health workers is rising exponentially.
Eco-innovation practices’ adoption in the automotive industry

Eco-innovation is a relatively recent construct in the literature, which nowadays more and more researchers and academics consider as one of the strategies that generate a higher level of sustainable and business performance. However, little is known about the influence of eco-innovation practices on sustainable performance and business performance, particularly in the automotive and auto parts industry. Therefore, this paper aims to fill this knowledge gap and explore the aforementioned interdependence. ,The influence of eco-innovation practices on sustainable performance and business performance is investigated through a research framework consisting of 5 constructs, 25 items and 6 hypotheses derived from an extensive review of the literature. A self-administered questionnaire was distributed to 460 companies in the automotive and auto parts industry in Mexico. The data were analyzed through a confirmatory factor analysis, descriptive statistics and structural equation modeling. ,The results obtained indicated that eco-innovation practices have a positive influence on both sustainable performance and business performance in the automotive and auto parts industry. ,This paper provides further insightful evidence of the influence of eco-innovation practices on sustainable performance and business performance, particularly in the automotive and auto parts industry.
CARBOHIDRATOS, GORDURAS E PROTEÍNAS: IMPORTÂNCIA NUTRICIONAL E SUPORTE AO EXERCÍCIO PROLONGADO

O processo de treino em Desporto pressupoe a conjugacao racional de tres fatores essenciais: estimulo-carga, repouso e alimentacao. A alimentacao do desportista deve providenciar os nutrientes necessarios para a reposicao da homeostasia energetica e muscular momentaneamente alterada pelas cargas de treino ou competicao. O desrespeito pelas necessidades energeticas e de reparacao tecidular subsequentes ao treino intenso e sistematico pode afetar a saude e reduzir dramaticamente o rendimento desportivo. Esta revisao curta faz uma abordagem a caracterizacao bioquimicas dos macronutrientes – carbohidratos, gorduras e proteinas, das respetivas fontes alimentares e do seu processamento metabolico no decurso de exercicios prolongados. A recuperacao da performance desportiva nao pode prescindir de nenhum dos macronutrientes, pois todos apresentam funcoes metabolicas determinantes quer para a saude quer para um otimo rendimento desportivo.
Assessment of Bone Morphogentic protein receptor 2 Level in Pulmonary Arterial Hypertension Disease

In the current study, Fifty six patients of Pulmonary arterial hypertension were admitted from Echocardiography unit and Najaf Cardiac Centre in Al-Sadder Teaching City in Al- Najaf province/ Iraq during September 2016 to February 2017,divided into seven groups:-First group according to gender (Male= 34 , Female = 22) Second group according to the type of disease ,primary included 20 patients and secondary 36 group , Third group according to Smoking included smokers 26 subjects and nonsmokers patients group included 30 subjects, Fourth group according to the type of secondary pulmonary hypertension ( Vulvular 24, Chronic Obstructive Pulmonary Disease 18 and Congenital 14) ,fifth group according to ages (30 – 39 year =12 ,40 – 49 year = 12 , 50 – 59 year= 12 , 60 – 69 year = 20) , six group according to Grades ([ Mild = 18 , moderate = 18 , severe; 20). The control group was composed of thirty healthy subject. The results of current study indicated, there were statistically significant decrease (p<0.05) in serum levels of Bone morphogenetic protein receptor 2 in patients of PAH in compared with healthy group. Also the results revealed a significant decrease (p<0.05) in BMPR2 in Females in compared with Males, Primary PAH than Secondary, Nonsmokers in compared with Smoker. And Chronic Obstructive Pulmonary Disease and Congenital in compared with Vulvular, Normal weight in compared with overweight and obese, 30-39 years in compared with other aged groups and in severe grades than Mild and Moderate. Conclusion: The current results concluded that BMPR2 is a marker for detection and diagnosis of Pulmonary arterial hypertension.
Bien-être au travail et performance de l'entreprise : une analyse par les paradoxes

A l’heure ou les entreprises, confrontees a de nombreux bouleversements, sont plus que jamais en recherche de performance, et a l’heure ou les salaries, denoncant les conditions de travail et les pratiques manageriales, n’ont jamais ete aussi demandeurs de bien-etre au travail, reconcilier le bien-etre des salaries et la performance de l’entreprise est un sujet d’actualite et un enjeu strategique pour les entreprises.La revue de la litterature et les resultats d’une analyse qualitative exploratoire menee a l’aide d’entretiens semi-directifs aupres de 55 salaries du groupe RESSIF (Reseau des Services Sociaux Interentreprises de France) nous amenent a envisager le « bien-etre au travail » et la « performance de l’entreprise » en termes de meta-perspective paradoxale et a proposer des voies de resolution de ce paradoxe organisationnel.Pour ce faire, nous avons mene deux etudes quantitatives. La premiere etude est basee sur 5300 observations issues de l’enquete « conditions de travail » du Ministere francais du travail. La deuxieme est basee sur les reponses de 270 entreprises a un questionnaire en ligne portant sur les pratiques de gestion des ressources humaines.Finalement, nos resultats empiriques concluent que les facteurs permettant de concilier le bien-etre au travail et la performance de l’entreprise sont, parmi les conditions de travail, la lutte contre l’intensite et l’insoutenabilite du travail et, parmi les pratiques de ressources humaines, le developpement de la participation des salaries aux decisions de l’entreprise, la formation, les promotions et perspectives de carriere et, dans une moindre mesure, l’evaluation de la performance.Pour conclure ce travail, sont presentees les contributions theoriques, methodologiques et manageriales, ainsi que les voies futures de recherche.
Scale and the politics of the organic transition in Sikkim, India

ABSTRACT In 2016, Sikkim, an Indian Himalayan state announced that it had certified all agricultural production as organic. In this article, we explore how Sikkim’s organic policies are affecting agroecology transitions. Drawing upon 47 interviews with Sikkimese farmers, consumers, and government officials, we explore how questions of scale are central to the Sikkimese state’s organic vision. Our four-part analysis reveals how the state’s move to scale up organics reflects: 1) the state’s perception that areal scale and low yield are the major constraints to their organic vision. To address this perceived constraint, the state is attempting to: 2) re-scale farm production to increase yield in single commodity crops, and 3) re-scale social processes to collectivize production and marketing. 4) Education is a primary pathway through which the state seeks to reorient farmers to engage in scaled up production and a yield oriented vision of cooperation. Our results show how these different scalar processes intersect, shedding new light on debates about the role of the state in agroecology transitions. List of Acronyms: APEDA: Agricultural and Processed Food Products Export Development Authority; ATMA: Agricultural Technical Management Authority; CEO: Chief Executive Officer; FPO: Farmer Producer Organization; MOVCD: Mission Organic Value Chain Development
NAVIGACIJA U TRODIMENZIONALNOM OKRUŽENJU Obstacle Tower UPOTREBOM UČENJA USLOVLJAVANJEM

Reinforcement learning in today's order of things when artificial intelligence is on the rise is a favorable field for new research. One of the problems that was trying to be solved in the last year or two is the problem of environmental control or navigation. This paper presents one form of solution to the problem of navigation and generalization in a three-dimensional environment is presented while there are limits to rewards, by forming an autonomous agent with deep learning techniques. An evaluation of the agent's performance was performed by comparing it with the human performance and results already described in the accompanying scientific papers.
Tianjic: A Unified and Scalable Chip Bridging Spike-Based and Continuous Neural Computation

Toward the long-standing dream of artificial intelligence, two successful solution paths have been paved: 1) neuromorphic computing and 2) deep learning. Recently, they tend to interact for simultaneously achieving biological plausibility and powerful accuracy. However, models from these two domains have to run on distinct substrates, i.e., neuromorphic platforms and deep learning accelerators, respectively. This architectural incompatibility greatly compromises the modeling flexibility and hinders promising interdisciplinary research. To address this issue, we build a unified model description framework and a unified processing architecture (Tianjic), which covers the full stack from software to hardware. By implementing a set of integration and transformation operations, Tianjic is able to support spiking neural networks, biological dynamic neural networks, multilayered perceptron, convolutional neural networks, recurrent neural networks, and so on. A compatible routing infrastructure enables homogeneous and heterogeneous scalability on a decentralized many-core network. Several optimization methods are incorporated, such as resource and data sharing, near-memory processing, compute/access skipping, and intra-/inter-core pipeline, to improve performance and efficiency. We further design streaming mapping schemes for efficient network deployment with a flexible tradeoff between execution throughput and resource overhead. A 28-nm prototype chip is fabricated with >610-GB/s internal memory bandwidth. A variety of benchmarks are evaluated and compared with GPUs and several existing specialized platforms. In summary, the fully unfolded mapping can achieve significantly higher throughput and power efficiency; the semi-folded mapping can save 30x resources while still presenting comparable performance on average. Finally, two hybrid-paradigm examples, a multimodal unmanned bicycle and a hybrid neural network, are demonstrated to show the potential of our unified architecture. This article paves a new way to explore neural computing.
DLBCL, primary and secondary central nervous system involvement, treatment and prophylaxis

Diffuse large B-cell lymphoma (DLBCL) is the most common type of Non-Hodgkin ́s Lymphoma (NHL). The standard treatment for DLBCL is R-CHOP chemoimmunotherapy (rituximab, cyclophosphamide, vincristine, doxorubicin and prednisone). About one -third of patients have refractory disease or the lymphoma relapses. Prognosis after relapse of refractory disease is poor. Fitter and younger patients are recommended new intensive salvage chemotherapy followed by autologous stem cell transplantation. Central nervous system (CNS) relapse is the most feared complication with dismal prognosis in DLBCL. High dose methotrexate intravenously administered concurrently with R-CHOP treatment has shown to be most promising to prevent CNS relapses. Primary CNS lymphoma (PCNSL) is a rare aggressive lymphoma limited to the CNS and eyes. PCNSL is a chemo-and radiosensitive disease, but long-term response is rare since the blood brain barrier (BBB) limits access of many drugs to the CNS. BBB disruption (BBBD) is a treatment modality where the BBB is opened by hypertonic mannitol infusion. Administration of chemotherapeutics will achieve over ten-fold concentrations in the CNS and eradicate microscopic disease involvement. This study retrospectively analyses patients who treated as first line with Bonn/Bonn-like treatment (study I), with BBBD treatment followed by high-dose treatment/autologous stem cell transplantation (HDT/ASCT) in firstor second-line (study II) or those treated with primary RCHOP or its derivatives with or without concurrent CNS-targeted treatment (study III). HD-MTX-based multichemotherapy is an effective induction treatment in CNS lymphoma, but long-lasting responses are rare. BBBD-treatment is well-tolerated and a promising method to attain high drug concentrations in the CNS to eradicate microscopic disease involvement in firstand second-line. CNS-prophylaxis with HD-MTX prevents CNS events in high risk DLBCL. PCNSL is agressive disease despite excellent primary response with HD-MTX based multichemotherapy. BBBD-treatment is a promising method to eradicate microscopic disease in the CNS and achieve a long-term response and cure rate. Fatal CNS relapses can be avoided using CNS-targeted treatment.
MUA3D: Malaysian Ethnicity Recognition

From a human face, one can tell that person’s emotion, gender and ethnicity. The ethnicity recognition score contributes to increase the matching score in the face recognition. This paper presents Malaysian ethnicity recognition using a new face database, MUA, developed by a biometric research group, Sarawak Biometric (SARAB). This database contains data from three main ethnic groups in Malaysia mainly Malay, Chinese and Indian. In addition, MUA also contains data for the biggest ethnics in Sarawak, the Ibans or called Sea Dayaks. We used 200 face data from MUA. Several geometric features were extracted from the images. The classifier used is Support Vector Machine whereas the accuracy obtained for facial ethnicity classification is 92.01%. data: (i) 2D data set, which contained of full RGB images, face RGB images and 2D facial points and (ii) 3D data set, contained 3D facial points, depth images and 3D *. obj files processed from the facial feature points. The dataset was used in the experiments for facial ethnicity classification and facial expression classification with a percentage of accuracy 92.10% and 59.10% respectively. We foresee various other applications benefiting from MUA database forthcoming.
Non-Compaction Cardiomyopathy Misdiagnosed as Dilated Cardiomyopathy

Background : Non-compaction cardiomyopathy is a rare cardiomyopathy, until now, not fully clarified. Diagnosis remains difficult since there are similarities with other cardiac defects, clinical manifestations are non-specific and echocardiographic criteria are not universally accepted. As a consequence diagnosis may be easily missed. We present a clinical case of previously healthy and asymptomatic boy, misdiagnosed as dilated cardiomyopathy. Case Report : A 13-year-old previously healthy boy presented with a 2 day of abdominal pain after being hit by his friend. Physical examination showed signs of congestive cardiac failure. Echocardiography and cardiac MS-CT were consistent with the diagnosis of non-compaction cardiomyopathy. Conclusion : Our purpose with this case report was to point out attention to this entity as an important and often misdiagnosed cause of dilated cardiomyopathy.
Correlation Study of Insulin Resistance and Adipocytes Factors in Patients with Type 2 Diabetes

Objective: 30 cases of non-obese patients with type 2 diabetes, 30 cases of obese patients with type 2 diabetes and 30 cases of healthy controls were selected to detect the levels of serum resistin, TNF-α, FFA, fasting blood glucose, fasting insulin, total cholesterol and triglycerides. Methods: And height, weight and waist circumference, abdominal circumference and blood pressure were measured, then body mass index (BMI) and waist-hip ratio (WHR) were calculated, as well as insulin resistance index (IRI) was calculated using Homa formula. Results: The results showed that the levels of resistin, TNF-α and FFA in the obese and nonobese diabetic groups were significantly higher than that in the control group, the difference was significant (p < 0.05, p < 0.01, respectively), the difference of resistin, the differences of TNF-α and FFA levels in the obese diabetic group were significant compared with that in the obese type 2 diabetic group (p < 0.05). The blood resistin in the non-obese type 2 diabetic groups had a significantly positive correlation with BMI, FPG and TG, as well as IRI, but no correlation with FINS, TCH, SBP, DBP and WHR. Conclusions: The resistin, TNF-α and FFA in the non-obese type 2 diabetic group and control groups had no significant correlation with all factors. The results of stepwise regression analysis showed that resistin, TNF-α and FFA were significantly associated with IRI.
Clinical assessment of mineral trioxide aggregate as direct pulp capping in young permanent teeth

Carious pulp exposure in permanent molars of children is a common incident. Mineral trioxide aggregate is a new material that possesses numerous exciting possibilities for pulp therapy. Aim: The purpose of this study was to evaluate the efficiency of MTA as a direct pulp capping agent in young permanent . teeth. Methods: Thirty asymptomatic permanent molars with pulp exposure were treated by pulp capping using MTA. At each recall (6, 12, 18 and 24 months), the teeth were assessed clinically, through pulpal sensitivity tests, as well as radiographically to evaluate periapical healing. Results: Non of the cases reported spontaneous pain at the 6 months follow up and the pulp showed signs of vitality and absence of periapical radiolucency. At 24 months, the clinical and radiographic success rate was 93% with evidence of continued root growth. Conclusion: Pulp capping with MTA is recommended for teeth with carious pulp exposure especially immature teeth that possess high potential for healing.