Miracle-dz/UniFAR-FTUs huggingface dataset:
A Rapidly Stabilizing Water-Gated Field-Effect Transistor Based on Printed Single-Walled Carbon Nanotubes for Biosensing Applications

Biosensors are expected to revolutionize disease management through provision of low-cost diagnostic platforms for molecular and pathogenic detection with high sensitivity and short response time. In this context, there has been an ever-increasing interest in using electrolyte-gated field-effect transistors (EG-FETs) for biosensing applications owing to their expanding potential of being employed for label-free detection of a broad range of biomarkers with high selectivity and sensitivity while operating at sub-volt working potentials. Although organic semiconductors have been widely utilized as the channel in EG-FETs, primarily due to their compatibility with cost-effective low-temperature solution-processing fabrication techniques, alternative carbon-based platforms have the potential to provide similar advantages with improved electronic performances. Here, we propose the use of inkjet-printed polymer-wrapped monochiral single-walled carbon nanotubes (s-SWCNTs) for the channel of EG-FETs in an aqueous environment. In particular, we show that our EG-CNTFETs require only an hour of stabilization before producing a highly stable response suitable for biosensing, with a drastic time reduction with respect to the most exploited organic semiconductor for biosensors. As a proof-of-principle, we successfully employed our water-gated device to detect the well-known biotin–streptavidin binding event.
Patterns of traumatic events and its relations with posttraumatic growth and religiosity in Iranian college students

BACKGROUND: Traumatic events and psychological damage are common. Identifying different types of traumatic events contributes to the development of psychopathology and can be very helpful in macroeducational and treatment planners. The current study extracted the patterns (overlap) of different traumatic events that Iranian college students commonly experience, with the aim of understanding their association with posttraumatic growth (PTG) and religiosity. MATERIALS AND METHODS: Four hundred and sixty-six students from Kerman universities completed a cross-sectional survey about religion, and questions about PTG and traumatic events have experienced in the past 5 years. The latent class analysis (LCA) was used for extracting patterns of traumatic events, and the one-way ANOVA test was used to compare PTG and religiosity across these classes in Iranian college students. RESULTS: The LCA revealed that a three-class solution had an adequate relative and absolute fit. The three classes were labeled and characterized as multiple-traumatic events (2.9%), intermediate-traumatic events (31.1%), and low-traumatic events (66.0%). In ANOVA results for PTG and Duke University Religion Index (DUREL) domains across classes, individuals in the multiple-traumatic classes had the lowest score of PTG and DUREL domains. CONCLUSION: Although the current study showed the relative frequency of multiple-traumatic events in Iranian students is low, individuals categorized in this class had the lowest PTG, and these findings reveal the necessitation of planning and interventions for PTG.
Factors Associated With Patient Engagement in Shared Decision-Making for Stroke Prevention Among Older Adults with Atrial Fibrillation

Objective To examine the extent of, and factors associated with, patient engagement in shared decision-making (SDM) for stroke prevention among patients with atrial fibrillation (AF). Methods We used data from the Systematic Assessment of Geriatric Elements-Atrial Fibrillation study which includes older ( ≥65 years) patients with AF and a CHA2DS2-VASc≥2. Participants reported engagement in SDM by answering whether they actively participated in choosing to take an oral anticoagulant (OAC) for their condition. Multiple logistic regression was used to assess associations between sociodemographic, clinical, geriatric, and psychosocial factors and patient engagement in SDM. Results A total of 807 participants (mean age 75 years; 48% female) on an OAC were studied. Of these, 61% engaged in SDM. Older participants (≥80 years) and those cognitively impaired were less likely to engage in SDM, while those very knowledgeable of their AF associated stroke risk were more likely to do so than respective comparison groups. Conclusions A considerable proportion of older adults with AF did not engage in SDM for stroke prevention with older patients and those cognitively impaired less likely to do so. Clinicians should identify patients who are less likely to engage in SDM, promote patient engagement, and foster better patient-provider communication which may enhance long-term patient outcomes.
Use of Health Services Among People Living Alone in Finland

Although health issues are more common in people living alone than in those living with someone, research on the service use of people living alone has focused on older age groups. Based on large Finnish cross-sectional health survey (FinHealth 2017, n = 4686), we examined the difference in the use and assessment of health services between those living alone and those living with someone, and whether some sub-groups within those living alone use or perceive the use of health care services differently to those living with someone. The adjusted proportions, based on logistic regression models controlling for demographic variables and perceived health and mental health, showed that those living alone had seen a doctor in the past year less often (65.5%) than those not living alone (71.9%). People living alone had also less often had a health examination in the past 5 years (72.4%) than those not living alone (79.2%), and this proportion was particularly low within people living alone with high levels of depressive symptoms (59.0%) compared to lower levels (75.0%). Conclusively, among people living alone, those who suffer from depressive symptoms might be a potential group that does not receive the same levels of preventive care than others.
Development of a Mobile Application Platform for Self-Management of Obesity Using Artificial Intelligence Techniques

Obesity is a major global health challenge and a risk factor for the leading causes of death, including heart disease, stroke, diabetes, and several types of cancer. Attempts to manage and regulate obesity have led to the implementation of various dietary regulatory initiatives to provide information on the calorie contents of meals. Although knowledge of the calorie content is useful for meal planning, it is not sufficient as other factors, including health status (diabetes, hypertension, etc.) and level of physical activity, are essential in the decision process for obesity management. In this work, we present an artificial intelligence- (AI-) based application that is driven by a genetic algorithm (GA) as a potential tool for tracking a user's energy balance and predicting possible calorie intake required to meet daily calorie needs for obesity management. The algorithm takes the users' input information on desired foods which are selected from a database and extracted records of users on cholesterol level, diabetes status, and level of physical activity, to predict possible meals required to meet the users need. The micro- and macronutrients of food content are used for the computation and prediction of the potential foods required to meet the daily calorie needs. The functionality and performance of the model were tested using a sample of 30 volunteers from the University of Ghana. Results revealed that the model was able to predict both glycemic and non-glycemic foods based on the condition of the user as well as the macro- and micronutrients requirements. Moreover, the system is able to adequately track the progress of the user's weight loss over time, daily nutritional needs, daily calorie intake, and predictions of meals that must be taken to avoid compromising their health. The proposed system can serve as a useful resource for individuals, dieticians, and other health management personnel for managing obesity, patients, and for training students in fields of dietetics and consumer science.
Insights into the Rich Polymorphism of the Na+ Ion Conductor Na3PS4 from the Perspective of Variable-Temperature Diffraction and Spectroscopy

Solid electrolytes are crucial for next-generation solid-state batteries, and Na3PS4 is one of the most promising Na+ conductors for such applications, despite outstanding questions regarding its structural polymorphs. In this contribution, we present a detailed investigation of the evolution in structure and dynamics of Na3PS4 over a wide temperature range 30 < T < 600 °C through combined experimental–computational analysis. Although Bragg diffraction experiments indicate a second-order phase transition from the tetragonal ground state (α, P4̅21c) to the cubic polymorph (β, I4̅3m) above ∼250 °C, pair distribution function analysis in real space and Raman spectroscopy indicate remnants of a tetragonal character in the range 250 < T < 500 °C, which we attribute to dynamic local tetragonal distortions. The first-order phase transition to the mesophasic high-temperature polymorph (γ, Fddd) is associated with a sharp volume increase and the onset of liquid-like dynamics for sodium-cations (translational) and thiophosphate-polyanions (rotational) evident by inelastic neutron and Raman spectroscopies, as well as pair-distribution function and molecular dynamics analyses. These results shed light on the rich polymorphism of Na3PS4 and are relevant for a range host of high-performance materials deriving from the Na3PS4 structural archetype.
Health-care reform implementation challenges at suburban areas in Isfahan province: A qualitative study

BACKGROUND: Health system reform plan in public health sector in Iran in the first phase focused on improving primary health care in suburban areas in and around big cities. The present study was conducted to assess the implementation process challenges of the reform plan in comprehensive health service centers at suburban areas of Isfahan in 2019. MATERIALS AND METHODS: This qualitative study with conventional content analysis approach was conducted in 2019. Participants were purposefully selected and interviewed at provincial levels from Isfahan University of Medical Sciences health department and health-care providers of comprehensive health services centers. The saturation point was reached after 21 face-to-face semi-structured interviews. Thematic analysis was employed to analyze transcribed documents assisted by MAXQDA version 10. RESULTS: The results revealed four main themes; the human resource management, the executive management, the electronic infrastructure, and the resource management. The major challenges in the implementation planning process included: the referral system, monitoring and supervision, electronic services infrastructure in the design and development of the EHR called the SIB system, lack of instructions guide, salaries and benefits, inconsistent financial and human resources and inappropriate allocation of theses resources. CONCLUSION: Despite the achievements in the development of the Iran health system reform plan, there were many challenges in the implementation planning process. It is recommended that theses challenges be reviewed and amended by health system managers and policymakers.
MicroRNA-23b-3p Deletion Induces an IgA Nephropathy-like Disease Associated with Dysregulated Mucosal IgA Synthesis

Visual Abstract Significance Statement Accumulating evidence implicates microRNAs in IgA nephropathy (IgAN), which is a common primary GN in which aberrant IgA aggregated with complement 3, with or without IgG/IgM is deposited in glomerular mesangium. We showed, in a mouse model, that miR-23b deficiency induced an IgA nephropathy-like disease, marked by mesangial IgA and C3 deposition, increased proteinuria, elevated serum IgA levels, and development of high blood pressure. Elevations in serum IgA levels and mesangial IgA deposition were associated with dysregulated mucosal IgA synthesis through targeting the activation-induced cytidine deaminase gene in the gut. miR-23b deficiency-induced dysfunctional kidney effects were likely mediated through regulation of expression of gremlin 2 (Grem2) and the transferrin receptor (Tfrc), which weexamined in human mesangial cells. Background IgA nephropathy (IgAN) is the most common primary GN worldwide. Circulating immune complexes form that are prone to deposition in the mesangium, where they trigger glomerular inflammation. A growing body of evidence suggests that dysregulated expression of microRNAs in IgAN may play a significant role in establishing the disease phenotype. Methods We generated single miR-23b-3p(miR-23b) knockout mice using CRISPR-Cas9. Results In humans, miR-23b levels are downregulated in kidney biopsies and sera of patients with IgAN, and serum miR-23b levels are negatively correlated with serum IgA1 levels. We show that miR-23b−/− mice develop an IgAN-like phenotype of mesangial IgA and C3 deposition associated with development of albuminuria, hypertension, an elevated serum creatinine, and dysregulated mucosal IgA synthesis. Dysregulation of IgA production is likely mediated by the loss of miR-23b–mediated suppression of activation-induced cytidine deaminase in mucosal B cells. In addition, we show that loss of miR-23b increases the susceptibility of the kidney to progressive fibrosis through loss of regulation of expression of gremlin 2 and IgA accumulation through downregulation of the transferrin receptor. Conclusions Our findings suggest an indispensable role for miR-23b in kidney disease, and in particular, IgAN. miR-23b may in the future offer a novel therapeutic target for the treatment of IgAN.
Numerical fatigue life analysis of a high frequency mechanical impact treated industrial component based on damage mechanics models

After post weld treatment with high frequency mechanical impact (HFMI) treatment of welds, a significant increase of fatigue life (up to a factor of 10) can be achieved. During the last years numerous experimental tests of welded joints with simple geometry under constant amplitude loading have been performed to quantify the positive effect of high frequency mechanical impact treatment. Due to the lack of methods for the prediction of the high frequency mechanical impact benefits, a widespread use of this process is not the case yet. Furthermore, it is still not clear if the results of these fatigue tests can be transferred to complex geometries and complex loading conditions such as in industrial applications. Therefore, an approach to assess the fatigue life of complex welded structures under variable amplitude loading was developed. For this purpose, high frequency mechanical impact treatment and fatigue load of simple welded specimen made of S690QL steel were simulated with finite element analysis (FEA) firstly. Then, the needed damage parameters for the fatigue life correlation were evaluated from the finite element post‐processing. The calculated life time to crack initiation was in good agreement with the experimental fatigue test results. In the next step, this procedure was implemented on a welded arm of an evacuator of type EW180B of the company Volvo Construction Equipment made of S700MC. The variable amplitude load measured under real service condition was transferred to single constant amplitude load cycles using a rainflow‐counting algorithm. By simulation and damage mechanics evaluation of each load cycle the total damage sum could be calculated and compared with the experimental results from Volvo Construction Equipment.
Single‐cell RNA sequencing reveals the epithelial cell heterogeneity and invasive subpopulation in human bladder cancer

Bladder cancer represents a highly heterogeneous disease characterized by distinct histological, molecular and clinical phenotypes, and a detailed analysis of tumor cell invasion and crosstalks within bladder tumor cells has not been determined. Here, we applied droplet‐based single‐cell RNA sequencing (scRNA‐seq) to acquire transcriptional profiles of 36 619 single cells isolated from seven patients. Single cell transcriptional profiles matched well with the pathological basal/luminal subtypes. Notably, in T1 tumors diagnosed as luminal subtype, basal cells displayed characteristics of epithelial‐mesenchymal transition (EMT) and mainly located at the tumor‐stromal interface as well as micrometastases in the lamina propria. In one T3 tumor, muscle‐invasive tumor showed significantly higher expression of cancer stem cell markers SOX9 and SOX2 than the primary tumor. We additionally analyzed communications between tumor cells and demonstrated its relevance to basal/luminal phenotypes. Overall, our single‐cell study provides a deeper insight into the tumor cell heterogeneity associated with bladder cancer progression.
Sphingolipid metabolism governs Purkinje cell patterned degeneration in Atxn1[82Q]/+ mice

Significance Neuronal subtypes are differentially affected by neuropathologies. For example, Purkinje cells, the principal neurons of the cerebellum, can be divided in subpopulations based on their sensitivity to pathological insult. However, the molecular mechanisms explaining why, among seemingly identical neurons, some will degenerate while others survive remain unknown. Here, we analyzed, in a disease model of cerebellar neurodegeneration, the metabolism of sphingolipids, complex lipids involved in cell apoptosis, and found that specific sphingolipids accumulate in the cerebellar region primarily affected by neurodegeneration. Preventing this accumulation by disrupting sphingolipid metabolism via genetic mutation caused a neuroprotective effect on subpopulations of Purkinje cells. Thus, our data indicate that sphingolipid metabolism is involved in the predisposition of neuronal subtypes to neurodegeneration. Patterned degeneration of Purkinje cells (PCs) can be observed in a wide range of neuropathologies, but mechanisms behind nonrandom cerebellar neurodegeneration remain unclear. Sphingolipid metabolism dyshomeostasis typically leads to PC neurodegeneration; hence, we questioned whether local sphingolipid balance underlies regional sensitivity to pathological insults. Here, we investigated the regional compartmentalization of sphingolipids and their related enzymes in the cerebellar cortex in healthy and pathological conditions. Analysis in wild-type animals revealed higher sphingosine kinase 1 (Sphk1) levels in the flocculonodular cerebellum, while sphingosine-1-phosphate (S1P) levels were higher in the anterior cerebellum. Next, we investigated a model for spinocerebellar ataxia type 1 (SCA1) driven by the transgenic expression of the expanded Ataxin 1 protein with 82 glutamine (82Q), exhibiting severe PC degeneration in the anterior cerebellum while the flocculonodular region is preserved. In Atxn1[82Q]/+ mice, we found that levels of Sphk1 and Sphk2 were region-specific decreased and S1P levels increased, particularly in the anterior cerebellum. To determine if there is a causal link between sphingolipid levels and neurodegeneration, we deleted the Sphk1 gene in Atxn1[82Q]/+ mice. Analysis of Atxn1[82Q]/+; Sphk1−/− mice confirmed a neuroprotective effect, rescuing a subset of PCs in the anterior cerebellum, in domains reminiscent of the modules defined by AldolaseC expression. Finally, we showed that Sphk1 deletion acts on the ATXN1[82Q] protein expression and prevents PC degeneration. Taken together, our results demonstrate that there are regional differences in sphingolipid metabolism and that this metabolism is directly involved in PC degeneration in Atxn1[82Q]/+ mice.
Suppression of Packet Losses and Disturbances in Networked Control Systems Based on Equivalent-Input-Disturbance Approach

This article presents a method of suppressing packet losses and exogenous disturbances for a networked control system (NCS) subject to network-introduced delays. The NCS has two feedback loops: 1) a local one and 2) a main one. The local feedback loop contains a state observer, an equivalent-input-disturbance (EID) estimator, and state feedback. It is used to ensure prompt disturbance suppression. The controller in the main feedback loop contains an internal model to track a reference input. The system is divided into two subsystems for the design of controllers. The state-observer gain is designed for one subsystem using the concept of perfect regulation to ensure disturbance estimation performance. The state-feedback gains of the other subsystem are designed based on a stability condition in the form of a linear matrix inequality (LMI). A tracking specification is embedded in the LMI-based stability condition to ensure satisfactory tracking performance. A case study on a two-finger robot hand control system and a comparison with a Smith-EID and $H_{\infty }$ controller approach validate the effectiveness and superiority of the presented method.
Early response evaluation using 18F-FDG-PET/CT does not influence management of patients with metastatic gastrointestinal stromal tumors (GIST) treated with palliative intent

Abstract Aim The aim of this study was to investigate the impact of 18F-FDG-PET/CT on treatment decision making in metastatic gastrointestinal stromal tumor (GIST) patients. Methods This study retrospectively evaluated 18F-FDG-PET/CT scans to monitor response of metastatic GIST patients treated with palliative intent. Data from the Dutch GIST Registry was used. Early scans (<10 weeks after start of treatment) and late scans (>10 weeks after start of treatment) were scored on the impact in change of treatment. Results Sixty-one PET/CT scans were performed for treatment evaluation in 39 patients with metastatic GIST of which 36 were early scans and 25 were late scans. Early PET/CT scans led to a change in management in 5.6% of patients and late PET/CT scans led to a change in management in 56% of patients. Change in management was more often seen after scans with lack of metabolic response (48% vs. 11% in scans with metabolic response, p=0.002). Neither metabolic response nor change in treatment were more often seen in patients with KIT mutations compared to patients with non-KIT mutations (metabolic response 65% KIT vs. 46% non-KIT, p=0.33, and change in management 28% KIT vs. 21% non-KIT, p=0.74). Conclusion 18F-FDG-PET/CT is not recommended for early response evaluation in an unselected patient population with metastatic GIST, since it does not influence treatment decisions. 18F-FDG-PET/CT, however, can be useful for late response assessment, especially in case of indeterminate CT results.