Miracle-dz/UniFAR-FTUs huggingface dataset:
Mortality in Eosinophilic Esophagitis – a nationwide, population-based matched cohort study from 2005 to 2017

Background There is a lack of knowledge about mortality in eosinophilic esophagitis (EoE). Therefore, this study aimed to examine the mortality in EoE. Methods A nationwide, population-based matched cohort study was conducted of all EoE patients in Sweden diagnosed between July 2005 and December 2017. Individuals with EoE (n = 1,625) were identified through prospectively recorded histopathology codes from all gastrointestinal pathology reports in Sweden, representing 28 pathology departments (the ESPRESSO study). Each individual with EoE was then matched with up to five reference individuals from the general population (n = 8,003) for age, sex, year of birth, and place of residence. We used the Cox proportional hazard modeling to estimate the adjusted hazard ratio (aHR) and 95% confidence interval (95% CI) while adjusting for other potential confounders. In sensitivity analyses, mortality in EoE patients was compared with mortality in their siblings. Results Through December 2017, 34 deaths were confirmed in EoE patients (4.60 per 1,000 person-years) compared with 165 in reference individuals (4.57 per 1,000 person-years). This rate corresponds to an aHR of 0.97 (95% CI = 0.67–1.40). HRs were similar in males (aHR = 1.00 [0.66–1.51]) and females (aHR = 0.92 [0.38–2.18]). We observed no increased risk in mortality due to esophageal or other gastrointestinal cancers in patients with EoE (aHR = 1.02 [0.51–2.02]). Mortality was similar in EoE patients and their siblings (aHR = 0.91 [0.44–1.85]). Conclusion In this nationwide, population-based matched cohort study in Sweden, there was no increased risk of death in patients with EoE compared with their siblings and the general population.
A low-threshold intervention to increase physical activity and reduce physical inactivity in a group of healthy elderly people in Germany: Results of the randomized controlled MOVING study

Background Lack of physical activity (PA) and a high level of physical inactivity (PI) are associated with a higher risk for mortality and responsible for several non-communicable diseases including cardiovascular disease. Higher age is associated with a decrease of PA and an increasing level of PI. Studies have shown that interventions in the elderly have the potential to increase the amount of PA and to decrease the level of PI. However, most interventions are complex, elaborated, time- and resource-consuming. Here, we examined the effect of individual feedback-letters reporting the measured PA and PI in a sample of elderly people in Germany. Primary outcomes of the study were overall PA and PI after 6 months in the intervention group compared to a control group. Methods We examined data from the MOVING intervention study (RCT) for people aged ≥ 65 years living in the northeast of Germany. At baseline, 3 and 6-months follow-up, all study participants wore a 3-axis accelerometer over a period of seven consecutive days. After the baseline measurement, the participants were randomized into intervention and control group. Participants in the intervention group received automatically generated, individualized feedback letters reporting their PA and PI by mail after the baseline measurement and after the 3-months follow-up. A Two-Way Mixed ANOVA with repeated measures was calculated with light, moderate and overall PA as well as PI as dependent variables, and group (between subject) and time (inner subject) as factors. The analysis based on retrospective data from the MOVING study (2016–2018). Results N = 258 patients were recruited. N = 166 participants could be included in the analysis, thereof N = 97 women (58.4%). The mean age was 70.8 years (SD 4.8). At baseline, the participants had a mean wearing time of 5,934.5 minutes (SD = 789.5) per week, which corresponds to about 14 hours daily on average. The overall PA in the intervention group at the 6-months follow up was 2488.8 (95% CI 2358.9–2618.2) minutes and 2408.2 (95% CI 2263.0–2553.4) minutes in the control group. There was no statistically significant interaction effect (time*group) between the intervention and control group for the depending variables. Sensitivity analyses showed significant small positive effects of the interaction time*partnership, F(2, 300) = 3.020, p = 0.05, partial η2 = 0.020. Discussion On average, study participants had high levels of PA at baseline and showed a good adherence in wearing the accelerometer. Both is likely due to selection in the convenience study sample. Thus, some ceiling effect reduced the overall intervention effect somewhat. At baseline, the weekly average of PI was 3436.7 minutes, which correspondents to about 8.2 hours per day and about 57% of participants’ daily waking time. The average level of PI could be slightly decreased in both study groups. Trial registration number DRKS00010410, 17 May 2017.
Synthesis of Bi2MoO6 Nanosheets with Rich Oxygen Vacancies by Postsynthesis Etching Treatment for Enhanced Photocatalytic Performance

Controlled introduction of oxygen vacancies in metal oxide based photocatalysts could improve their charge carrier separation efficiencies to enhance their photocatalytic performances. In this work, oxygen vacancies were introduced in Bi2MoO6 nanosheets through a postsynthesis etching treatment by NaOH aqueous solution at room temperature for the first time, which removed the requirement of high temperature treatment, chemicals of high cost and environmental hazardness, or specific apparatus for the introduction of oxygen vacancies in previous studies. Furthermore, the crystal structure, morphology, optical properties, and energy band structures of these Bi2MoO6 nanosheets were not changed by this approach, which allowed the separation and illustration of the charge carrier separation role of oxygen vacancies for the photocatalytic performance enhancement. With the increase of oxygen vacancies, Bi2MoO6 nanosheets demonstrated improved electron–hole separation efficiency and largely enhanced photocatalytic.
Multiscale Photoacoustic Tomography of a Genetically Encoded Near‐Infrared FRET Biosensor

Photoacoustic tomography (PAT) with genetically encoded near‐infrared probes enables visualization of specific cell populations in vivo at high resolution deeply in biological tissues. However, because of a lack of proper probes, PAT of cellular dynamics remains unexplored. Here, the authors report a near‐infrared Forster resonance energy transfer (FRET) biosensor based on a miRFP670‐iRFP720 pair of the near‐infrared fluorescent proteins, which enables dynamic functional imaging of active biological processes in deep tissues. By photoacoustically detecting the changes in the optical absorption of the miRFP670 FRET‐donor, they monitored cell apoptosis in deep tissue at high spatiotemporal resolution using PAT. Specifically, they detected apoptosis in single cells at a resolution of ≈3 µm in a mouse ear tumor, and in deep brain tumors (>3 mm beneath the scalp) of living mice at a spatial resolution of ≈150 µm with a 20 Hz frame rate. These results open the way for high‐resolution photoacoustic imaging of dynamic biological processes in deep tissues using NIR biosensors and PAT.
MotorSkins—a bio-inspired design approach towards an interactive soft-robotic exosuit

The work presents a bio-inspired design approach to a soft-robotic solution for assisting the knee-bending in users with reduced mobility in lower limbs. Exosuits and fluid-driven actuators are fabric-based devices that are gaining increasing relevance as alternatives assistive technologies that can provide simpler, more flexible solutions in comparison with the rigid exoskeletons. These devices, however, commonly require an external energy supply or a pressurized-fluid reservoir, which considerably constrain the autonomy of such solutions. In this work, we introduce an event-based energy cycle (EBEC) design concept, that can harvest, store, and release the required energy for assisting the knee-bending, in a synchronised interaction with the user and the environment, thus eliminating any need for external energy or control input. Ice-plant hydro-actuation system served as the source of inspiration to address the specific requirements of such interactive exosuit through a fluid-driven material system. Based on the EBEC design concepts and the abstracted bio-inspired principles, a series of (material and process driven) design experimentations helped to address the challenges of realising various functionalities of the harvest, storage, actuation and control instances within a closed hydraulic circuit. Sealing and defining various areas of water-tight seam made out of thermoplastic elastomers provided the base material system to program various chambers, channels, flow-check valves etc of such EBEC system. The resulting fluid-driven EBEC-skin served as a proof of concept for such active exosuit, that brings these functionalities into an integrated ‘sense-acting’ material system, realising an auto-synchronised energy and information cycles. The proposed design concept can serve as a model for development of similar fluid-driven EBEC soft-machines for further applications. On the more general scheme, the work presents an interdisciplinary design-science approach to bio-inspiration and showcases how biological material solutions can be looked at from a design/designer perspective to bridge the bottom–up and top–down approach to bio-inspiration.
Neuromorphic learning with Mott insulator NiO

Significance Neuromorphic computing requires emulation of animal learning in synthetic matter. Materials with highly tunable electronic structures and a dynamical response to environmental stimuli are particularly suited for this task. Here, we demonstrate universal learning characteristics such as habituation and sensitization in a prototypical quantum material, NiO. With stimuli such as oxygen, ozone, and light, the concentration of atomic defects can be modulated reversibly, resulting in changes to electrical conductivity that mimic nonassociative learning. The material behavior inspires new algorithms for unsupervised learning in neural networks and opens up new directions for use of Mott insulators in artificial intelligence. Habituation and sensitization (nonassociative learning) are among the most fundamental forms of learning and memory behavior present in organisms that enable adaptation and learning in dynamic environments. Emulating such features of intelligence found in nature in the solid state can serve as inspiration for algorithmic simulations in artificial neural networks and potential use in neuromorphic computing. Here, we demonstrate nonassociative learning with a prototypical Mott insulator, nickel oxide (NiO), under a variety of external stimuli at and above room temperature. Similar to biological species such as Aplysia, habituation and sensitization of NiO possess time-dependent plasticity relying on both strength and time interval between stimuli. A combination of experimental approaches and first-principles calculations reveals that such learning behavior of NiO results from dynamic modulation of its defect and electronic structure. An artificial neural network model inspired by such nonassociative learning is simulated to show advantages for an unsupervised clustering task in accuracy and reducing catastrophic interference, which could help mitigate the stability–plasticity dilemma. Mott insulators can therefore serve as building blocks to examine learning behavior noted in biology and inspire new learning algorithms for artificial intelligence.
BREAST trial study protocol: evaluation of a non-invasive technique for breast reconstruction in a multicentre, randomised controlled trial

Introduction Pioneers have shown that it is possible to reconstruct a full breast using just autologous fat harvested by liposuction or autologous fat transfer (AFT). This study describes the first multicentre randomised study protocol to thoroughly investigate the effectiveness of AFT to reconstruct full breasts following mastectomy procedures (primarily and delayed). Methods and analysis This study is designed as a multicentre, randomised controlled clinical superiority trial with a 1:1 allocation ratio. A total of 196 patients (98 patients per treatment arm) are aimed to be included. Patients who wish to undergo breast reconstruction with either one of the two techniques are randomly allocated into the AFT group (intervention) or the tissue-expander/prosthesis group (control). The primary outcome measure for the quality of life is measured by the validated BREAST-Q questionnaire. Ethics and dissemination Approval for this study was obtained from the medical ethics committee of Maastricht University Medical Centre/Maastricht University; the trial has been registered at ClinicalTrials.gov. The results of this randomised controlled trial will be presented at scientific meetings as abstracts for poster or oral presentations and published in peer-reviewed journals. Trial status Enrolment into the trial has started in October 2015. Data collection and data analysis are expected to be completed in December 2021. Trial registration number NCT02339779.
Lipid accumulation product (LAP) as a potential index to predict risk of insulin resistance in young, non-obese Asian Indian males from Southern India: observations from hyperinsulinemic-euglycemic clamp studies

Introduction We aimed to compare the predictive accuracy of surrogate indices namely the lipid accumulation product (LAP) index, homeostatic model of assessment of insulin resistance (HOMA-IR), fasting glucose-insulin ratio (FG-IR) and the quantitative-insulin sensitivity check index (QUICKI), against the M value of hyperinsulinemic-euglycemic clamp (HEC), and to determine a cut-off value for the LAP index to predict risk of insulin resistance in non-obese (body mass index <21 kg/m2), normoglycemic, Asian Indian males from Southern India. Research design and methods Data of HEC studies performed in 108 non-obese, normoglycemic, Asian Indian males was obtained retrospectively and the M value (a measure of whole-body insulin sensitivity) was calculated. The M value is the rate of whole-body glucose metabolism at the hyperinsulinemic plateau (a measure of insulin sensitivity) and is calculated between 60 and 120 min after the start of the insulin infusion in the HEC procedure. The LAP index, the HOMA-IR, FG-IR and QUICKI were calculated. Spearman’s correlation and logistic regression analysis were performed. Cut-off value for the LAP index was obtained using receiver operating characteristics with area under curve (AUC) analysis at 95% CI. P value <0.05 was considered to be statistically significant. Results Significant negative correlation was observed for the M value with LAP index (r=−0.39, p<0.001) while significant positive correlation was noted with FG-IR (r=0.25; p<0.01) and QUICKI (r=0.22; p<0.01). The LAP index cut-off value ≥33.4 showed 75% sensitivity and 75% specificity with AUC (0.72) to predict risk of insulin resistance in this cohort. Conclusion The LAP index showed higher predictive accuracy for the risk of insulin resistance as compared with HOMA-IR, QUICKI and FG-IR in non-obese, normoglycemic Asian Indian males from Southern India.
WI12 Rhg1 interacts with DELLAs and mediates soybean cyst nematode resistance through hormone pathways

Summary The soybean cyst nematode (SCN) is one of the most important causes of soybean yield loss. The major source of genetic resistance to SCN is the Rhg1 repeat, a tandem copy number polymorphism of three genes. The roles of these genes are only partially understood. Moreover, nematode populations virulent on Rhg1‐carrying soybeans are becoming more common, increasing the need to understand the most successful genetic resistance mechanism. Here, we show that a Rhg1‐locus gene (Glyma.18G02270) encoding a wound‐inducible protein (WI12 Rhg1 ) is needed for SCN resistance. Furthermore, knockout of WI12Rhg1 reduces the expression of DELLA18, and the expression of WI12Rhg1 is itself induced by either JA, SA or GA. The content of the defence hormone SA is significantly lower whilst GA12 and GA53 are increased in WI12Rhg1 knockout roots compared with unedited hairy roots. We find that WI12 Rhg1 directly interacts with DELLA18 (Glyma.18G040000) in yeast and plants and that double knockout of DELLA18 and its homeolog DELLA11 (Glyma.11G216500) significantly reduces SCN resistance and alters the root morphology. As DELLA proteins are implicated in hormone signalling, we explored the content of defence hormones (JA and SA) in DELLA knockout and unedited roots, finding reduced levels of JA and SA after the knockout of DELLA. Additionally, the treatment of DELLA‐knockout roots with JA or SA rescues SCN resistance lost by the knockout. Meanwhile, the SCN resistance of unedited roots decreases after the treatment with GA, but increases with JA or SA. Our findings highlight the critical roles of WI12 Rhg1 and DELLA proteins in SCN resistance through interconnection with hormone signalling.
Atrial fibrillation increases inpatient and 4-year all-cause mortality in critically ill patients with liver cirrhosis

Background The association between atrial fibrillation (AF) and cirrhosis is unclear. Therefore, the aim of the present study was to determine the association between AF and short-term and 4-year mortality in critically ill patients with cirrhosis using a large database. Methods The Medical Information Mart for Intensive Care III (MIMIC III) database was used to identify patients with cirrhosis hospitalized in an intensive care unit from 2001 to 2012. Demographic and clinical data were extracted from the database. Clinical data and demographic information were collected for each patient in our study. Kaplan-Meier analysis and multivariate Cox regression models were performed to examine the relation between atrial fibrillation and in-hospital and 4-year all-cause mortality. Results A total of 1,481 patients (mean age: 58 years, 68% male) with liver cirrhosis were included in the analysis, and the prevalence of AF was 14.18%. The inpatient all-cause mortality rate was 26.6%, and patients who died in hospital had a significantly higher rate of AF (21.57% vs. 11.50%, P<0.001). Multivariate Cox regression analysis indicated that AF was significantly associated with inpatient all-cause mortality [hazard ratio (HR): 1.52, 95% confidence interval (CI): 1.19–1.95, P<0.001], and 4-year all-cause mortality (HR: 1.55, 95% CI: 1.12–2.13, P=0.008). Kaplan-Meier survival analysis showed that patients with AF had a significantly higher inpatient and 4-year all-cause mortality. Conclusions Critically ill patients with liver cirrhosis have a high rate of AF, and the presence of AF is an independent risk factor for inpatient and 4-year all-cause mortality.
FOPID based MPPT for photovoltaic system

ABSTRACT In this paper, the design and analysis of Fractional Order PID (FOPID) controller for the application of the solar photovoltaic system is proposed. At the outset, a solar PV system is considered to investigate the better performance of the FOPID controller compared to PID controller. Fractional order PID (FOPID) controller is used to improve the dynamic response of the system and the optimal gain values are tuned by using FOTF toolbox. A Fractional order controller that has been conceptualized to improve the system performance, particularly to improve the rejection of possible disturbances, which may occur in the input voltage. The performance analysis and comparison of PID controller and FOPID controller is done using MATLAB. The working method of the proposed technique is demonstrated with the help of Boost converter. It is designed in order to tap the solar energy and convert it into an electrical energy.
Identification of in vitro-in vivo components of Caoguo using accelerated solvent extraction combined with gas chromatography-mass spectrometry integrated with network pharmacology on indigestion

Background Caoguo (Tsaoko Fructus), a traditional Chinese medicine, is widely used as medicine and dietary spices. Volatile components are among its important bioactive constituents used to treatment of abdominal distension and pain, but the mechanism is not clear up to now. The purpose of this study was to develop a simple, sensitive, and accurate method to analyze and identify components of Caoguo in vitro and in vivo, and further investigate the therapeutic mechanism of Caoguo on indigestion using network pharmacology. Methods Caoguo were extracted by accelerated solvent extraction (ASE) and n-hexane:ethyl acetate (1:1, v/v) was selected as the extraction solvent. Gas chromatography-mass spectrometry (GC-MS) was adopted to analyze and identify the volatile components in vitro and in vivo. Network pharmacology including protein-protein network construction, Gene Ontology (GO) enrichment and pathway enrichment analysis and component-target-pathway network construction was applied. Results By comparing the retention times and mass spectrometry data, as well as retrieving the reference literature, a total of 169 components were tentatively identified in Caoguo extract and 43 components were identified in rats plasma samples for the first time. The results of network pharmacology analysis indicated that the potential mechanism was mainly associated with regulation of lipolysis in adipocytes and serotonergic synapse signaling pathway, which might be responsible for the effect of indigestion. Conclusions Caoguo was first extracted by ASE and the volatile chemical components in vivo were first identified by GC-MS. Coupled with network pharmacology analysis, a network of component-target-pathway was constructed to reveal the possible mechanism of Caoguo in treatment of indigestion. This study provided a new reference method for the extraction and analysis of Caoguo, laid a chemical basis for in-depth studies on pharmacodynamics and pharmacology, and revealed an updated understanding of the therapeutic effects of Caoguo on indigestion.
The Detrimental Role of Regulatory T Cells in Nonalcoholic Steatohepatitis

Nonalcoholic steatohepatitis (NASH) is induced by steatosis and metabolic inflammation. While involvement of the innate immune response has been shown, the role of the adaptive immune response in NASH remains controversial. Likewise, the role of regulatory T cells (Treg) in NASH remains unclear although initial clinical trials aim to target these regulatory responses. High‐fat high‐carbohydrate (HF‐HC) diet feeding of NASH‐resistant BALB/c mice as well as the corresponding recombination activating 1 (Rag)‐deficient strain was used to induce NASH and to study the role of the adaptive immune response. HF‐HC diet feeding induced strong activation of intrahepatic T cells in BALB/c mice, suggesting an antigen‐driven effect. In contrast, the effects of the absence of the adaptive immune response was notable. NASH in BALB/c Rag1−/− mice was substantially worsened and accompanied by a sharp increase of M1‐like macrophage numbers. Furthermore, we found an increase in intrahepatic Treg numbers in NASH, but either adoptive Treg transfer or anti‐cluster of differentiation (CD)3 therapy unexpectedly increased steatosis and the alanine aminotransferase level without otherwise affecting NASH. Conclusion: Although intrahepatic T cells were activated and marginally clonally expanded in NASH, these effects were counterbalanced by increased Treg numbers. The ablation of adaptive immunity in murine NASH led to marked aggravation of NASH, suggesting that Tregs are not regulators of metabolic inflammation but rather enhance it.