Miracle-dz/UniFAR-FTUs huggingface dataset:
RESPONSE OF TOMATO TO DIFFERENT IRRIGATION AND FERTIGATION LEVELS UNDER POLYHOUSE

An experiment was conducted to study the effect of irrigation and fertigation levels on growth and yield attribute of tomato, water requirement and field average water use efficiency of tomato. The treatments included three irrigation levels (45%, 70% and 95% ETc) and three fertigation levels (75%, 100%, and 125% RDF). The results indicated that the drip irrigation to tomato crop scheduled daily at the rate of 95% of crop evapo-transpiration was found significantly superior in case of growth and fruit yield of tomato. Similarly, fertigation of 125 % RD (300:150:150 N, P2O5, K2O kg/ha) at alternate day interval upto 180 DAT was found significantly superior in case of growth and yield attributes of tomato, followed by 100% RD. The seasonal water requirement of tomato under polyhouse in the best treatment I1 x F1 (95% ETc x 125 % RD), where the yield was maximum, was 58.97 cm. The average water use efficiency (WUE) of tomato was found in the range of 52.01 to 73.33 kg m.m under polyhouse condition. The WUE in T1(I1F1) was maximum (73.33 kg ha mm) amongst other treatments, which might be due to maintenance of proper moisture in the soil and higher dose of fertigation.
Fusion High-Resolution Network for Diagnosing ChestX-ray Images

The application of deep convolutional neural networks (CNN) in the field of medical image processing has attracted extensive attention and demonstrated remarkable progress. An increasing number of deep learning methods have been devoted to classifying ChestX-ray (CXR) images, and most of the existing deep learning methods are based on classic pretrained models, trained by global ChestX-ray images. In this paper, we are interested in diagnosing ChestX-ray images using our proposed Fusion High-Resolution Network (FHRNet). The FHRNet concatenates the global average pooling layers of the global and local feature extractors—it consists of three branch convolutional neural networks and is fine-tuned for thorax disease classification. Compared with the results of other available methods, our experimental results showed that the proposed model yields a better disease classification performance for the ChestX-ray 14 dataset, according to the receiver operating characteristic curve and area-under-the-curve score. An ablation study further confirmed the effectiveness of the global and local branch networks in improving the classification accuracy of thorax diseases.
DeepTACT: predicting 3D chromatin contacts via bootstrapping deep learning

Abstract Interactions between regulatory elements are of crucial importance for the understanding of transcriptional regulation and the interpretation of disease mechanisms. Hi-C technique has been developed for genome-wide detection of chromatin contacts. However, unless extremely deep sequencing is performed on a very large number of input cells, which is technically limited and expensive, current Hi-C experiments do not have high enough resolution to resolve contacts between regulatory elements. Here, we develop DeepTACT, a bootstrapping deep learning model, to integrate genome sequences and chromatin accessibility data for the prediction of chromatin contacts between regulatory elements. DeepTACT can infer not only promoter–enhancer interactions, but also promoter–promoter interactions. In tests based on promoter capture Hi-C data, DeepTACT shows better performance over existing methods. DeepTACT analysis also identifies a class of hub promoters, which are correlated with transcriptional activation across cell lines, enriched in housekeeping genes, functionally related to fundamental biological processes, and capable of reflecting cell similarity. Finally, the utility of chromatin contacts in the study of human diseases is illustrated by the association of IFNA2 to coronary artery disease via an integrative analysis of GWAS data and interactions predicted by DeepTACT.
The Business Process Model and Notation of Open Innovation: The Process of Developing Medical Instrument

The Business Process Model to represent the process of developing a medical device is presented in this paper. In the age of population aging and a growing amount of patients, enormous pressure is put on improving their care and living conditions. The development of medical devices is a complicated and expensive process. Therefore, the whole process was subjected to an analysis of business processes, and the resulting model was expressed using the Business Process Model and Notation (BPMN). The model aims to illustrate the consentient process of designing a medical device using graphical notation. This notation is suitable for displaying models of healthcare environments thanks to its user-friendliness and easy comprehensibility for all parties involved. In addition, this study demonstrates that the model in BPMN notation by its depth of specificity falls to the level of activity sub-processes. This level of abstraction allows a comprehensive view of the entire process, as well as future extensions for a more in-depth analysis and process mining techniques.
Pain prevalence and treatment in patients with metastatic bone disease

The accomplishment of successful pain treatment requires evaluation, characterization and quantification. The present study characterized pain and survival in a cohort of patients with cancer with bone metastasis who were treated with intravenous bisphosphonates. A total of 84 patients self-completed the Brief Pain Inventory (BPI) and 36-Item Short Form Survey (SF-36), between November 2010 and March 2011 with a 5-year survival follow-up as a surrogate marker of cancer burden. The median age was 62 years old (34–85), 64% of patients were female and 58% of these females had breast cancer. In the population, self-reported pain was 91.6%, with 29 patients (34.5%) reporting severe pain (score 7–10). Among these patients, only 13 (44.8%) presented a similar report to that of their clinical files and 5 were undergoing treatment with strong opioids (17.2%). A total of 45 patients (46%) had not been prescribed analgesic drugs, of these patients, 32 were treated with a weak opioid, and 13 with a strong opioid. An association was observed between pain records and the prescribed analgesic (P=0.031). BPI maximum pain and overall survival data were analyzed, and a significant association was identified between male patients presenting severe pain and decreased survival (P=0.004). Male survival was associated with severe pain, which is consistent with other data. The results revealed a skeletal-related events (SRE)-free survival (time elapsed from diagnosis of the first bone metastasis to the first SRE) of 9 months (4.39–13.73, 95% CI) with a statistically significant difference between subgroups of time since diagnosis of bone metastasis (P=0.005). The added value of the present study is the suggestion that complete and accurate pain narratives are mandatory and may contribute to the optimization of analgesia, and may help to increase survival rates. Optimal pain management for patients with cancer remains an urgent requirement.
EXPONENTIAL STABILITY IN MEAN SQUARE OF A LARGE CLASS OF SINGULARLY PERTURBED STOCHASTIC LINEAR DIFFERENTIAL EQUATIONS

A stability problem for a class of large-scale singularly perturbed stochastic systems (SPSSs) with state-multiplicative white noise and Markovian jumping parameters is considered. Based on the linear evolution operator, an exponential stability in mean square is investigated. ∗Accepted for publication on February 20, 2018 †Vasile.Dragan@imar.ro Institute of Mathematics ”Simion Stoilow” of the Romanian Academy P.O. Box 1-764, RO-014700, Bucharest, and the Academy of the Romanian Scientists, Romania; ‡lucian.popa@uab.ro Department of Exact Sciences and Engineering, ”1 Decembrie 1918” University of Alba Iulia, 510009-Alba Iulia, Romania; This work was supported by a grant of the Romanian National Authority for Scientific Research and Innovation, CNCS/CCCDI UEFISCDI, project number PN-III-P2-2.1-PED-2016-1835, within PNCDI III. §mukaida@hiroshima-u.ac. jp Graduate School of Engineering, Hiroshima University, Higashi-Hiroshima, Japan ¶Toader.Morozan@imar.ro Institute of Mathematics ”Simion Stoilow” of the Romanian Academy P.O. Box 1-764, RO-014700, Bucharest, Romania;
Isolation of group B Streptococcus with reduced β-lactam susceptibility from pregnant women

ABSTRACT β-Lactam antibiotics are first-line agents for the treatment and prevention of group B Streptococcus (GBS) infections. We previously reported clinical GBS isolates with reduced β-lactam susceptibility (GBS-RBS) and characterized them as harbouring amino acid substitutions in penicillin-binding proteins (PBPs). However, to our knowledge, GBS-RBS clinical isolates have never previously been isolated from pregnant women worldwide. We obtained 477 clinical GBS isolates from vaginal/rectal swabs of 4530 pregnant women in Japan. We determined the MICs of seven β-lactams for all 477 clinical isolates. Five clinical isolates showed reduced ceftibuten susceptibility. For these isolates, we performed sequencing analysis of pbp genes. None of the 477 isolates were non-susceptible to penicillin G, ampicillin, and meropenem. For five isolates, the MICs of ceftibuten were relatively high (64–128 μg/ml). Each of these isolates possessed a single amino acid substitution in PBP2X, and some of the substitutions had been previously found in GBS with reduced penicillin susceptibility. This is the first report of the isolation of clinical GBS-RBS isolates harbouring amino acid substitutions in PBP2X that confer reduced ceftibuten susceptibility from pregnant women.
Assessment of Airborne Fungi in Indoor Environment for Biological Lab Rooms

Fungi can cause airborne diseases that need to consider in health plans due to its risk and threats of many communities worldwide. This study aims to assess indoor air quality of laboratory room environment for health industry sector. Open plate method was used to collect and culture of airborne fungi from 12 rooms of laboratories in faculty and hospital buildings. Identification of filamentous fungi grown on culture plates was based on standard mycological texts and manual. The results showed that the occurrence frequency and relative abundance were used to show the risk of airborne fungi. The colony forming unit of fungi species isolated from air samples of faculty and hospital laboratories were 304 and 83 respectively. Thirteen fungi genera including twenty-one species were identified overall air samples. The predominant fungi were Aspergillus, Penicillium and Alternaria among fungi. Among these species the most prevalence fungi was Penicillium chrysogenum at the highest at species level. Therefore, it is essential to set urgent steps to enhance the indoor air quality in laboratory environment such as providing air purification system in these labs.
Tree Cover Estimation in Global Drylands from Space Using Deep Learning

S.T. , E.G., D.A‐S. , and F.H. were supported by the project DeepSCOP‐Ayudas Fundacion BBVA a Equipos de Investigacion Cientifica en Big Data 2018. E.G. is supported by the European Research Council grant agreement 647038 (BIODESERT). S.T. is supported by the Ramon y Cajal Program of the Spanish Government (RYC‐2015‐18136). S.T. , E.G., and F.H. were supported by the Spanish Ministry of Science under the project TIN2017‐89517‐P. D.A‐S. , E.G., and J.C. received support from project ECOPOTENTIAL, funded by European Union Horizon 2020 Research and Innovation Program, under grant agreement No. 641762, and from European LIFE Project ADAPTAMED LIFE14 CCA/ES/000612. D.A‐S, S.T. and E.G. received support from Programa Operativo FEDER‐Andalucia 2014‐2020 under project DETECTOR A‐RNM‐256‐UGR18. D.A‐S. received support from NASA’s Work Program on Group on Earth Observations—Biodiversity Observation Network (GEOBON) under grant 80NSSC18K0446.
Exploring the cooccurrence of behavioural phenotypes for avoidant/restrictive food intake disorder in a partial hospitalization sample.

OBJECTIVE Literature providing clinical characterizations of avoidant/restrictive food intake disorder (ARFID) has proposed the occurrence of three functions for food refusal: fear of negative consequences, lack of hunger, or sensory sensitivity. Recent studies have suggested that these functions may be used to subtype patients presenting with ARFID; however, other work suggests that these categories are not mutually exclusive and instead represent neurobiological dimensions that can cooccur. The current study explored the potential cooccurrence of behavioural phenotypes in patients with ARFID presenting to a partial hospitalization program. METHOD Two raters conducted a retrospective chart review of patients with ARFID presenting to treatment from June 2014 to May 2018 (N = 59). RESULTS Regarding cooccurrence of symptoms consistent with behavioural phenotypes, raters showed excellent agreement, and over 50% of the sample endorsed symptoms consistent with more than one phenotype. The sensory sensitivity phenotype was most common in the sample and frequently cooccurred with both other phenotypes. DISCUSSION Results suggest that multiple functions for food avoidance may be present within one individual. Future work should aim to further characterize individuals presenting with singular versus multiple phenotype characteristics.
Systemic inflammation caused by chronic periodontitis in acute ischemic heart attack patients

Objective: Infectious and inflammatory processes mediated by bacteria in distant sites have been described as a risk factor for acute ischemic heart disease (AIHD). Methods: One hundred one patients with AIHD with and without chronic periodontitis (CP) were included in this study. Patients were admitted to the HC UNICAMP and stratified into three groups: in group 1, we selected patients with severe chronic periodontitis (31 men and 19 women, mean age 55.1 ± 11.29 years old); the group 2 with mild chronic periodontitis (40 men and 28 women, mean age 54.8 ± 10.37 years old) and group 3 represented by the toothless (43 men and 20 women, mean age 67.5 ± 8.55 years old). Blood samples were collected to measure the lipid profiles, hematological and blood glucose levels. In addition, biopsies of seventeen coronary arteries with atherosclerosis and an equal number of internal mammary arteries without atherosclerotic degeneration in group 1 were investigated. Statistical analysis by analysis of variance (ANOVA) and Scheffé test for multiple comparisons was performed. Results: Triglyceride and LDL levels were elevated in group 1 than in group 2. HDL were reduced by 20% in group 1 and remained reduced by 8% in toothless. Blood glucose was higher in group 1. DNA of periodontal bacteria was detected in 58.8% of the coronary arteries. Conclusions: Patients with (AIHD) and severe chronic periodontitis may have altered lipid profile, as well as microorganisms associated with CP can permeate into coronary vessels. Descriptors: Periodontitis. DNA, bacterial. Risk factors. Atherosclerosis. Coronary disease. Correspondence address: Fernando Jose de Oliveira Av. ACM, 585, salas 109-110 Itaigara – Salvador, BA, Brasil CEP: 41825-000. E-mail: fernandoimplantes@hotmail.com Fernando J. de Oliveira is supported by Fundação de Assistência à Educação e Pesquisa (FAEP-UNICAMP). Article received on July 14th, 2009 Article accepted on December 1st, 2009
The resurgence of syphilis in high-income countries in the 2000s: a focus on Europe

Abstract Syphilis can cause severe complications and sequelae. Following a decrease in reported cases in European Union/European Economic Area (EU/EEA) and other high-income countries in the 1980s and 1990s as a result of the HIV epidemic and ensuing changes in sexual behaviour, trends started to increase in the 2000s in a number of EU/EEA Member States with higher rates among men and a large proportion of cases reported among men who have sex with men (MSM), particularly HIV-positive MSM. Trends in EU/EEA Member States vary however with some countries continuing to report decreases in the number of reported cases (mostly in the Eastern part of EU/EEA) whereas many Western European countries report increasing numbers of cases. Increasing rates among women, although still relatively low, have been observed in a number of countries leading to concerns around mother-to-child transmission of syphilis and congenital syphilis. Similar overall trends are observed in other high-income countries with the exception of Japan where rates among heterosexual men and women have been rising at alarming levels. Control of syphilis requires use of comprehensive, evidence-based strategies which take into account lessons learned from previous control efforts as well as consideration of biomedical interventions.
Developing a theory-driven framework for a football intervention for men with severe, moderate or enduring mental health problems: a participatory realist synthesis

Abstract Background: Physical activity interventions are an important adjunct therapy for people with severe to moderate and/or enduring mental health problems. Football is particularly popular for men in this group. Several interventions have emerged over the past decade and there is a need to clearly articulate how they are intended to work, for whom and in what circumstances. Aims: To develop a theory-driven framework for a football intervention for men with severe, moderate and/or enduring mental health problems using a participatory realist approach. Methods: A participatory literature review on playing football as a means of promoting mental health recovery with a realist synthesis. It included the accounts and input of 12 mental health service users and the contributions of other stakeholders including football coaches and occupational therapists. Results: Fourteen papers were included in the review. Analysis revealed that interventional mechanisms were social connectedness, identity security, normalising experiences and positive affectivity. These supported mental health recovery. Outcomes were moderated by social stigma and several interventional factors such as over-competitiveness. Conclusions: The context mechanism outcome configuration framework for these interventions map well onto social models of mental health recovery and provide insight into how they work. This now requires testing.
Growth Trends of Coniferous Species along Elevational Transects in the Central European Alps Indicate Decreasing Sensitivity to Climate Warming

Tree growth at high elevation in the Central European Alps (CEA) is strongly limited by low temperature during the growing season. We developed a tree ring series of co-occurring conifers (Swiss stone pine, Norway spruce, European larch) along elevational transects stretching from the subalpine zone to the krummholz limit (1630–2290 m asl; n = 503 trees) and evaluated whether trends in basal area increment (BAI) are in line with two phases of climate warming, which occurred from 1915–1953 and from 1975–2015. Unexpectedly, results revealed that at subalpine sites (i) intensified climate warming in recent decades did not lead to a corresponding increase in BAI and (ii) increase in summer temperature since 1915 primarily favored growth of larch and spruce, although Swiss stone pine dominates at high elevations in the Eastern CEA, and therefore was expected to mainly benefit from climate warming. At treeline, BAI increases in all species were above the level expected based on determined age trend, whereas at the krummholz limit only deciduous larch showed a minor growth increase. We explain missing adequate growth response to recent climate warming by strengthened competition for resources (nutrients, light, water) in increasingly denser stands at subalpine sites, and by frost desiccation injuries of evergreen tree species at the krummholz limit. To conclude, accurate forecasts of tree growth response to climate warming at high elevation must consider changes in stand density as well as species-specific sensitivity to climate variables beyond the growing season.
Real-Time Implementation of Green Light Optimal Speed Advisory for Electric Vehicles

Intelligent Transportation Systems (ITS), such as Green Light Optimal Speed Advisory (GLOSA) systems, can be used to reduce the energy consumption in modern vehicles. In particular, GLOSA systems provide driving strategies that can decrease both energy consumption and travel time. In this paper, we present a new method to calculate the optimal driving speeds based on traffic light data. To this end, a detailed formulation for the optimization problem is presented for a multi-segment route, based on an electric vehicle (EV) and traffic light models in an urban environment. Since this formulation results in a nonconvex optimization problem, a relaxation procedure is applied with a low calculation time. By using this procedure, a dynamic real-time speed advisory algorithm is developed. Numerical simulations showed improved performance over benchmark techniques. In particular, the proposed Dynamic-GLOSA solution’s performance was shown to be very close to that with a brute-force optimal solution but with a much shorter calculation time and has significant potential for energy saving.
Allelic Variation for Prolamins in Spanish Durum Wheat Landraces and Its Relationship with Quality Traits

Wheat landraces are currently being explored mainly as a source of allelic variation related to crop resilience and low-input adaptation. Characterization of their high- and low-molecular weight glutenin subunits can aid breeders to select as donor local materials those ensuring good end-use properties in the derived elite cultivars. By using protein electrophoretic methods, we have determined the prolamin allelic profile of 116 Spanish durum wheat landraces. Their quality properties (as defined by grain protein content, sodium dodecyl sulfate (SDS) sedimentation volume and mixograph behavior) have also been assessed. The study has identified six novel glutenin alleles plus some other rare alleles some of which have been associated with improved durum wheat quality. Most of the novel variation detected needs to be characterized in a wider sample of varieties to establish any eventual beneficial effect on functional quality. Further analysis of the quality properties associated to specific allele combinations of Glu-A3, Glu-B3, and Glu-A1 has disclosed some clues on the influence on quality of certain non-allelic interactions between these main prolamin-encoding loci. Some of the landraces, showing outstanding values for the gluten quality parameters analyzed, might be directly used by farmers interested in the cultivation of traditional varieties for specialized food markets.