Miracle-dz/UniFAR-FTUs huggingface dataset:
"The Taxonomic Analysis and Genetic Biodiversity of Nodule Bacteria Soybean (Glycine Max (L.) Merr.) Isolated from Soils of Central Asia"

The taxonomy of nitrogen-fixing bacteria forming symbiotic associations with legumes has undergone profound changes in recent years. The use of very sensitive and precise molecular methods has made it possible to identify a wide variety of rhizobia, especially among the natural field populations of these soil bacteria. The purpose of the present the study was aimed at identifying and characterizing isolated soybean rhizobia from different types of soils of Central Asia that are regularly used for agricultural production. The actual composition and genetic diversity of the population of natural fields has been studied using various PCR methods such as 16S rDNA. Seventy rhizobia isolates were characterized and compared with reference and / or type strains representing Bradyrhizobium japonicum , Bradyrhizobium elkanii and Sinorhizobium fredii , Pantoea agglomerans , Enterobacter cloacae emerging in α - β- γ- protobacteria
Soluble ST2 Receptor: Biomarker of Left Ventricular Impairment and Functional Status in Patients with Inflammatory Cardiomyopathy

Introduction: Inflammatory cardiomyopathy (ICM) frequently leads to myocardial fibrosis, resulting in permanent deterioration of the left ventricular function and an unfavorable outcome. Soluble suppression of tumorigenicity 2 receptor (sST2) is a novel marker of inflammation and fibrosis in cardiovascular tissues. sST2 was found to be helpful in predicting adverse outcomes in heart failure patients with reduced ejection fraction. The aim of this study was to determine the association of sST2 plasma levels with cardiac magnetic resonance (CMR) and echocardiography imaging features of left ventricular impairment in ICM patients, as well as to evaluate the applicability of sST2 as a prognosticator of the clinical status in patients suffering from ICM. Methods: We used plasma samples of 89 patients presenting to the Heart Center Leipzig with clinically suspected myocardial inflammation. According to immunohistochemical findings in endomyocardial biopsies (EMB) conducted in the context of patients’ diagnostic work-up, inflammatory cardiomyopathy was diagnosed in 60 patients (ICM group), and dilated cardiomyopathy in 29 patients (DCM group). All patients underwent cardiac catheterization for exclusion of coronary artery disease and CMR imaging on 1.5 or 3 Tesla. sST2 plasma concentration was determined using ELISA. Results: Mean plasma concentration of sST2 in the whole patient cohort was 45.8 ± 26.4 ng/mL (IQR 27.5 ng/mL). In both study groups, patients within the highest quartile of sST2 plasma concentration had a significantly lower left ventricular ejection fraction (LV-EF) compared to patients within the lowest sST2 plasma concentration quartile (26 ± 11% vs. 40 ± 13%, p = 0.05 for ICM and 24 ± 13% vs. 51 ± 10%, p = 0.004 for DCM). sST2 predicted New York Heart Association (NYHA) class III/IV at 12 months follow-up more efficiently in ICM compared to DCM patients (AUC 0.85 vs. 0.61, p = 0.02) and was in these terms superior to NT-proBNP and cardiac troponin T. ICM patients with sST2 plasma concentration higher than 44 ng/mL at baseline had a significantly higher probability of being assigned to NYHA class III/IV at 12 months follow-up (hazard ratio 2.8, 95% confidence interval 1.01–7.6, log rank p = 0.05). Conclusion: Plasma sST2 levels in ICM patients reflect the degree of LV functional impairment at hospital admission and predict functional NYHA class at mid-term follow-up. Hence, ST2 may be helpful in the evaluation of disease severity and in the prediction of the clinical status in ICM patients.
Reactive and Regulative Temperament in Relation to Clinical Symptomatology and Personality Disorders in Patients with a Substance Use Disorder

Temperament and personality traits are important factors underlying the vulnerability for both the initiation and continuation of addictive behaviors. We investigated the influence of reactive and regulative temperament and their interaction in relation to clinical symptomatology and personality disorders (PDs) in a sample of 841 inpatients (68.1% males) with a substance use disorder (SUD). To assess reactive temperament we used the Behavioral Inhibition and Behavioral Activation Scales (BISBAS) and to assess regulative temperament we used the Effortful Control Scale. Clinical symptomatology and personality traits were measured by means of the Symptom Checklist-90 (SCL-90) and the Assessment of ADP-IV Personality Disorders (ADP-IV). Hierarchical regression analyses showed that both, clinical symptomatology and PDs were related to low levels of effortful control (EC). None of the two-way interactions (BIS × EC, BAS × EC) however were significantly related to psychopathology. Current findings highlight the role of effortful control (EC) in the expression of psychopathology in an adult sample of inpatients with SUD. Therapeutic interventions aiming at strengthening EC can possibly result in better treatment outcomes for both the addiction and the comorbid psychopathology.
Statement on the active substance flupyradifurone

Abstract Flupyradifurone is a novel butenolide insecticide, first approved as an active substance for use in plant protection products by Commission Implementing Regulation (EU) 2015/2084. Following concerns that this substance may pose high risks to humans and the environment, the French authorities, in November 2020, asked the Commission to restrict its uses under Article 69 of Regulation (EC) No 1107/2009. To support this request, competent Authorities from France cited a series of literature papers investigating its hazards and/or exposure to humans and the environment. In addition, in June 2020, the Dutch Authorities notified the Commission, under Article 56 of Regulation (EC) No 1107/2009, of new information on flupyradifurone on the wild bee species Megachile rotundata. This notification is also referred to in the French notification on flupyradifurone. Consequently, the EFSA PPR Panel was mandated to quantify the likelihood of this body of evidence constituting proof of serious risks to humans or the environment. Therefore, the EFSA PPR Panel evaluated the likelihood of these studies indicating new or higher hazards and exposure to humans and the environment compared to previous EU assessments. A stepwise methodology was designed, including: (i) the initial screening; (ii) data extraction and critical appraisal based on the principles of OHAT/NTP; (iii) weight of evidence, including consideration of the previous EU assessments; (iv) uncertainty analysis, followed, whenever relevant, by an expert knowledge elicitation process. For the human health, only one study was considered relevant for the genotoxic potential of flupyradifurone in vitro. These data did not provide sufficient information to overrule the EU assessment, as in vivo studies already addressed the genotoxic potential of flupyradifurone. Environment: All available data investigated hazards in bee species. For honey bees, the likelihood of the new data indicating higher hazards than the previous EU assessment was considered low or moderate, with some uncertainties. However, among solitary bee species – which were not addressed in the previous EU assessment – there was evidence that Megachile rotundata may be disproportionately sensitive to flupyradifurone. This sensitivity, which may partially be explained by the low bodyweight of this species, was mechanistically linked to inadequate bodily metabolisation processes.
Photodynamic Effects with 5-Aminolevulinic Acid on Cytokines and Exosomes in Human Peripheral Blood Mononuclear Cells

Photodynamic therapy (PDT) with 5-aminolevulinic acid (ALA), a precursor to the potent photosensitizer, protoporphyrin IX (PpIX), is an established modality for several malignant and premalignant diseases. This treatment is based on the light-activated PpIX in targeted lesions. Although numerous studies have confirmed the necrosis and apoptosis involved in the mechanism of action of this modality, little information is available for the change of exosome levels after treatment. We report from the first study on the effects of ALA-PDT on cytokines and exosomes of human healthy peripheral blood mononuclear cells (PBMCs). The treatment reduced the cytokines and exosomes studied, although there was variation among individual PBMC samples. This reduction is consistent with PDT-mediated survivals of subsets of PBMCs. More specifically, the ALA-PDT treatment apparently decreased all pro-inflammatory cytokines included, suggesting that this treatment may provide a strong anti-inflammatory effect. In addition, the treatment has decreased the levels of different types of exosomes, the HLA-DRDPDQ exosome in particular, which plays an important role in the rejection of organ transplantation as well as autoimmune diseases. These results may suggest future therapeutic strategies of ALA-PDT.
Towards disrupting teams' plans

In order for an agent or a team of agents to achieve a goal, a sequence of state transitions need to be performed. These transitions constitute a plan. On some occasions multiple ways of achieving the goal may exist. In competitive settings or sabotage scenarios, one may want to prevent or delay an agent or team of agents from achieving a goal; currently, there is little work addressing this issue in the context of agent teams. We argue that plans can be disrupted by preventing particular state transitions from being performed. We propose four algorithms to identify which state transitions should be thwarted such that the achievement of the goal is prevented (total disruption) or delayed (partial disruption). In order to evaluate the performance of our algorithms we define disruption (partial and total) and also provide metrics for its measurement. We do acknowledge that the disruptor may not always have an accurate representation of the disruptee's plans. Thus, we perform an experimental analysis to examine the performance of the algorithms when some of the state transitions available to the disruptee are unknown to the disruptor.
A Simplified Measurement Configuration for Evaluation of Relative Permittivity Using a Microstrip Ring Resonator with a Variational Method-Based Algorithm

In this paper, we present a simple yet efficient method for determination of the relative permittivity of thin dielectric materials. An analysis that led to definition of the proper size and placement of a sample under test (SUT) on the surface of a microstrip ring resonator (MRR) was presented based on the full-wave simulations and measurements on benchmark materials. For completeness, the paper includes short descriptions of the design of an MRR and the variational method-based algorithm that processes the measured values. The efficiency of the proposed method is demonstrated on 12 SUT materials of different thicknesses and permittivity values, and the accuracy between 0% and 10% of the relative error was achieved for all SUTs thinner than 2 mm.
Research and Development: Model of Clinical Collaborative Supervision for Scientific Based English Instruction

This research aimed to establish an instructional supervision model for scientific-based English instruction at Islamic Junior Boarding Schools. Research questions were stated as to how was the formulation of the model. This research employed Research and Development with three phases of (1) foundational study seeking the potencies and problems using policy analysis, field study, and theoretical review; (2) design and development study by designing the hypothetical model and developing the model formulation to be validated; and (3) Try out the study by doing one group pre-post experimental and perceptional studies. Finally, the model was established informs of model book and tutorial usage. The model combined principles of clinical Supervision and collaborative orientation to control, which were compatible with the behavioural characteristic of Islamic Boarding Junior High Schools in a pesantren environment. This model obtained score validation of 89 %, categorized as valid, can be used without revision. While the pre-assessment score was 2.60 and the post-assessment score was 3.39with, the t-test was -7.0886on significant 0.05 and t table 2.447. This model was concluded to be practical and applicable to use as a Scientific Based English Instruction Supervision for Islamic Boarding Junior High Schools.
Adaptive Event-Triggered Control of Networked Fuzzy PDE Systems Under Hybrid Cyber Attacks

This study focuses on the security control problem of networked fuzzy partial differential equation (PDE) systems under hybrid cyber attacks. First, the nonlinear parabolic PDE system is exactly represented by a Takagi–Sugeno fuzzy PDE model. Second, with taking the insecure transmission network into consideration, a more practical stochastic hybrid cyber attacks model for PDE-based networked control systems is introduced. This model contains both denial-of-service attacks and deception attacks in a unified framework. Then, based on spatially pointwise nonuniform sampled-data measurements, an adaptive event-triggered control scheme with an adjustable threshold is newly designed to counter the hybrid cyber attacks’ impact while saving communication resources. Moreover, by constructing a novel Lyapunov–Krasovskii functional and employing some inequality techniques, stability conditions with less conservatism are derived. Finally, the developed method is applied to the Fisher equation to demonstrate its viability and superiority.
Tachyarrhythmias in Congenital Heart Diseases: From Ion Channels to Catheter Ablation

Major advances in pediatric cardiology in recent decades, especially surgical techniques, have resulted in an increasing number of patients with congenital heart disease (CHD) surviving to adulthood. This has generated new challenges, particularly with regards to the late onset of complex arrhythmias. Abnormal anatomy, surgical scarring, chronic hypoxemia, hemodynamic compromise, neuro-hormonal abnormalities, and genetic factors can all contribute to creating a unique substrate for arrhythmia development. This review attempts to synthesize the current state of knowledge spanning the spectrum from underlying mechanisms of arrhythmias in patients with congenital heart disease to current ablative strategies. We discuss existing knowledge gaps and highlight important areas for future research.
Data Feature Extraction Method of Wearable Sensor Based on Convolutional Neural Network

With the rapid development of society and science technology, human health issues have attracted much attention due to wearable devices' ability to provide high-quality sports, health, and activity monitoring services. This paper proposes a method for feature extraction of wearable sensor data based on a convolutional neural network (CNN). First, it uses the Kalman filter to fuse the data to obtain a preliminary state estimation, and then it uses CNN to recognize human behavior, thereby obtaining the corresponding behavior set. Moreover, this paper conducts experiments on 5 datasets. The experimental results show that the method in this paper extracts data features at multiple scales while fully maintaining data independence, can effectively extract corresponding feature data, and has strong generalization ability, which can adapt to different learning tasks.
The Neurophysiological Impact of Subacute Stroke: Changes in Cortical Oscillations Evoked by Bimanual Finger Movement

Introduction To design more effective interventions, such as neurostimulation, for stroke rehabilitation, there is a need to understand early physiological changes that take place that may be relevant for clinical monitoring. We aimed to study changes in neurophysiology following recent ischemic stroke, both at rest and with motor planning and execution. Materials and Methods We included 10 poststroke patients, between 7 and 10 days after stroke, and 20 age-matched controls to assess changes in cortical motor output via transcranial magnetic stimulation and in dynamics of oscillations, as recorded using electroencephalography (EEG). Results We found significant differences in cortical oscillatory patterns comparing stroke patients with healthy participants, particularly in the beta rhythm during motor planning (p = 0.011) and execution (p = 0.004) of a complex movement with fingers from both hands simultaneously. Discussion. The stroke lesion induced a decrease in event-related desynchronization in patients, in comparison to controls, providing evidence for decreased disinhibition. Conclusions After a stroke lesion, the dynamics of cortical oscillations is changed, with an increasing neural beta synchronization in the course of motor preparation and performance of complex bimanual finger tasks. The observed patterns may provide a potential functional measure that could be used to monitor and design interventional approaches in subacute stages.
Surface Plasmon Enhancement of an InGaN Quantum Well Using Nanoparticles Made of Different Metals and Their Combinations

Surface plasmon (SP) enhancement of photoluminescence (PL) from a green-emitting InGaN/GaN quantum well (QW) using nanoparticles (NPs) made of different metals and their combinations was investigated. The NPs were formed by annealing the metal films in N2 followed by rapid cooling. Four-fold enhancement in PL intensity was achieved using random metal NPs made of Cu on Mg (Cu-Mg) double metal film that was more than two folds of the enhancement observed by AgNPs. Reversing the order of metal film deposition (Mg on Cu) resulted in much lower PL intensity due to significantly different NPs size distribution as the given annealing conditions did not cause homogeneous alloying of the two metals. The results pave the way for the application of NPs of relatively low-cost unconventional metals and their combinations in the SP enhancement of LEDs.
Strawberry Growth under Current and Future Rainfall Scenarios

Globally, the changing and interacting effects of temperature and precipitation are anticipated to influence the fitness of specialty crops. Strawberry (Fragaria x ananassa) is an important crop in the Northeastern United States. In this study, four plausible precipitation scenarios were developed to be representative of current and future growing season precipitation patterns. Using a precipitation simulator, we tested these scenarios on potted-day-neutral strawberries. This study generated four primary results. (1) Though some treatments received different amounts of precipitation, little difference was observed in soil volumetric water content or temperature. Treatments designed to simulate future conditions were more likely to have higher nitrate-in-leachate (N-leachate) concentrations than those designed to simulate current conditions. (2) Neither total precipitation nor seasonable distribution were associated with foliar or root disease pressure. (3) While there was a slightly higher chance that photosynthesis would be higher in drier conditions, little difference was observed in the effects on chlorophyll concentration and no water stress was detected in any treatment. (4) Leaf biomass was likely more affected by total rather than seasonal distribution of precipitation, but the interaction between changing rainfall distribution and seasonal totals is likely to be an important driver of root biomass development in the future.
Subsea permafrost and associated methane hydrates: how long will they survive in the future?

Abstract. We performed simulations with SMILES (the Sediment Model Invented for Long-tErm Simulations) for 100 kyr in future forced by the output of an Earth System model with internally calculated ice sheets. This Earth System model was driven by idealised scenarios of CO2 emissions (applied at time instant t = 0 loosely corresponding to common era year 1950) and by changes of the parameters of the Earth orbit. The simulations are carried out with different values of the heat flux from the Earth interior. We neglected possible impact of hydrostatic pressure changes due to future sea level changes on freeze/thaw temperature and on thermodynamic stability of methane hydrates. We found that at the outer shelf permafrost disappears either before t = 0 or during few centuries in future. In contrast, for the middle and shallow parts of the shelf, in the CO2-emission forced runs the subsea permafrost survives, at least, for 5 kyr after the emission onset or even for much longer. Without an applied greenhouse forcing permafrost exists here at least until 22 kyr after the CO2 emission onset or even survives till the end of the model runs. At the same parts of the shelf, methane hydrate stability zone disappears not earlier that at t = 3 kyr after the CO2 emission onset, but, typically, it survives until 11 to 41 kyr after this onset. Time instants of local extinction of both the subsea permafrost and methane hydrates stability zone (MHSZ) are negatively correlated with the geothermal heat flux because of both permafrost thaw and MHSZ shrinking basically occurs from bottom. However, thaw from the top and the deepening of the MHSZ table is basically determined by the applied CO2 forcing scenario; this is more important for the permafrost than for MHSZ. In general, the CO2-induced warming in our simulations is able to enhance the pan-Arctic subsea permafrost loss severalfold during 1 kyr after the emissions onset, but is less instrumental for the respective MHSZ loss.
Sensitivity of pre‐operative imaging and radiologist inter‐rater reliability in detecting lesions in Crohn's disease

Computed tomography (CT), computed tomography enterography (CTE) and magnetic resonance enterography (MRE) are commonly used pre‐operatively in surgical planning in Crohn's Disease (CD). The findings on CT, CTE and MRE may not, however, correlate with operative findings. This study aims to establish the sensitivity of these imaging modalities and analyse radiologist inter‐rater reliability by comparing imaging findings of strictures, fistulas and abscesses with intra‐operative findings.
Modeling Gender-Based Differences in Mode Choice considering Time-Use Pattern: Analysis of Bicycle, Public Transit, and Car Use in Suzhou, China

Activity-travel behavior differs between women and men. Previous researches dealing with gender differences mainly focus on travel in itself rather than the interaction between time-use pattern and travel mode choice. Based on the activity-travel survey data of Suzhou, China, multigroup structural equation modeling is adopted to explore the reason for gender-based differences in mode choice through comparing the interactions among sociodemographics, time-use pattern, and mode choice. The results indicate that gender-based differences do exist in mode choice. Women prefer traveling by bicycle while men prefer traveling by car in Suzhou. And compared to women, men's mode choice is not so easy to be affected by other travel modes. Besides, gender-based differences exist in the magnitude or the sign of the interrelations among socio-demographics, time-use pattern, and mode choice. It is better to explain gender-based differences in mode choice by including time-use pattern endogenously than through socio-demographics alone. Furthermore, the study shows that by examining the direct, indirect, and total effects in the model system simultaneously, we are able to better capture the differences in mode choice across genders and further able to understand the reason for those differences. Finally, some dedicated suggestions are presented for planners and government to ensure a healthy transportation system.