Miracle-dz/UniFAR-FTUs huggingface dataset:
Decreased expression of ALDH5A1 predicts prognosis in patients with ovarian cancer

ABSTRACT Aldehyde dehydrogenase 5 family, member A1 (ALDH5A1) belongs to the superfamily of aldehyde dehydrogenases (ALDHs). However, the prognostic value of ALDH5A1 in ovarian cancer remains unclear. The aim of this study was to explore the relationship between ALDH5A1 and the prognosis of patients with ovarian cancer (OC). We compared the expression of ALDH5A1 in OC to that innormal controls, using GSE40595 profiling data. Tissue microarray analysis was conducted for192 OC patients, 14 adjacent normal ovary tissues, and 2 normal ovary tissues. Using the “Kaplan-Meier plotter” (KM plotter) database, updated gene expression data and survival information of a total of 1583 OC patients were used to evaluate the prognostic value of ALDH5A1 in OC patients. We found that ALDH5A1 mRNA expression was downregulated in OC patients compared with that innormal tissues. In survival analyses, we found that ALDH5A1 was positively linked to prognosis in patients with OC, particularly in those with serous ovarian cancer (SOC). In addition, high Ctranscription activity of ALDH5A1 was correlated with better overall survival in SOC patients expressing mutatedTP53, but not in those expressing wild-type TP53. In pathological grades II/III, a high mRNA level of ALDH5A1 was associated with improved overall survival. The positive association between ALDH5A1 and prognosis was found not only in early stages(I and II), but also in advanced stages (III and IV) of SOC patients. results indicate that ALDH5A1 is an excellent predictive factor of OC and may play crucial roles in OC progression.
Interactions Between Dielectric Elastomer Actuators and Soft Bodies

Abstract Soft robots have recently attracted much interest, and dielectric elastomers have shown great promise for soft actuators because of their large voltage-induced deformation. The actuation performance is primarily characterized by the largest deformation, based on the material failure analyses. However, most previous related work usually neglected the fact that, different from their counterpart in the field of traditional rigid robots, soft actuators are deeply coupled with the environment. Interactions between soft actuators and the environment are significant and under-researched, playing an important role in evaluating their actuation capabilities and in matching them with prescribed soft robotic systems. This article investigates the interactions between a dielectric elastomer balloon actuator and an actuated soft body. We present a computational model of the coupled system and look at the effects of mechanical and material designs on the performance of the balloon actuator. Parametric studies .
Rate and Energy Maximization in SCMA Networks With Wireless Information and Power Transfer

In this letter, we investigate the fundamental tradeoff between rate and energy for sparse code multiple access (SCMA) networks with wireless power transfer. A weighted rate and energy maximization problem by jointly considering power allocation, codebook assignment, and power splitting, is formulated. To solve the hard problem, an iterative algorithm based on the univariate search technique is proposed, which has good performance with low complexity. Specifically, we analyze the special structure of the problem and exploit it to obtain the optimal power splitting ratio and resource allocation strategy when one of them is fixed. Simulation results indicate that our algorithm achieves a better rate-energy tradeoff compared to other schemes.
Evaluating graph signal processing for neuroimaging through classification and dimensionality reduction

Graph Signal Processing (GSP) is a promising framework to analyze multi-dimensional neuroimaging datasets, while taking into account both the spatial and functional dependencies between brain signals. In the present work, we apply dimensionality reduction techniques based on graph representations of the brain to decode brain activity from real and simulated fMRI datasets. We introduce seven graphs obtained from a) geometric structure and/or b) functional connectivity between brain areas at rest, and compare them when performing dimension reduction for classification. We show that mixed graphs using both a) and b) offer the best performance. We also show that graph sampling methods perform better than classical dimension reduction including Principal Component Analysis (PCA) and Independent Component Analysis (ICA).
Systematic Review of Standardized Patient Use in Continuing Medical Education

Introduction: The standardized patient (SP) has assumed a fundamental role in undergraduate medical education since first conceived over 50 years ago. While widely used in student training and assessment of communication and clinical examination across health disciplines, little is known how SPs enhance knowledge or skill development among professionals. We conducted a systematic review to determine the effectiveness of SPs in continuing medical education (CME) programs. Methods: Authors independently searched for studies published between 1966 and 2016, describing CME initiatives using SP encounters as practice for participants compared with those which did not. Studies assessing virtual patients or mannequins or employing SPs for assessment only were excluded. Learning outcomes were characterized according to the Kirkpatrick framework for determining the effectiveness of training programs. Results: Four hundred eighty-eight studies were identified, but only five were eligible for analysis. Most were conducted with small numbers of primary care physicians in North America. CME topics related to opioid prescribing, breast cancer examination and cancer screening, smoking cessation, and chronic asthma management. In the two studies testing knowledge, no difference was found between intervention and control groups (Kirkpatrick level 2). Improved behaviors were demonstrated in breast cancer patient examination and interview and decreased opioid-prescribing rates among selected participants in two studies (Kirkpatrick level 3). Only one study investigated patient outcomes and found reduced rates of uncontrolled asthma in practices of physicians who were assigned to SP practice encounters in the CME training (Kirkpatrick level 4). Discussion: There is little rigorous outcome study of CME programs incorporating SPs. Given the necessary human and fiscal resources associated with their use, our review highlights the need to reconsider the SP role in CME unless further purposeful evaluation to determine participant behavior change and related patient outcomes is pursued.
The ins and outs of vanillyl alcohol oxidase: Identification of ligand migration paths

Vanillyl alcohol oxidase (VAO) is a homo-octameric flavoenzyme belonging to the VAO/PCMH family. Each VAO subunit consists of two domains, the FAD-binding and the cap domain. VAO catalyses, among other reactions, the two-step conversion of p-creosol (2-methoxy-4-methylphenol) to vanillin (4-hydroxy-3-methoxybenzaldehyde). To elucidate how different ligands enter and exit the secluded active site, Monte Carlo based simulations have been performed. One entry/exit path via the subunit interface and two additional exit paths have been identified for phenolic ligands, all leading to the si side of FAD. We argue that the entry/exit path is the most probable route for these ligands. A fourth path leading to the re side of FAD has been found for the co-ligands dioxygen and hydrogen peroxide. Based on binding energies and on the behaviour of ligands in these four paths, we propose a sequence of events for ligand and co-ligand migration during catalysis. We have also identified two residues, His466 and Tyr503, which could act as concierges of the active site for phenolic ligands, as well as two other residues, Tyr51 and Tyr408, which could act as a gateway to the re side of FAD for dioxygen. Most of the residues in the four paths are also present in VAO’s closest relatives, eugenol oxidase and p-cresol methylhydroxylase. Key path residues show movements in our simulations that correspond well to conformations observed in crystal structures of these enzymes. Preservation of other path residues can be linked to the electron acceptor specificity and oligomerisation state of the three enzymes. This study is the first comprehensive overview of ligand and co-ligand migration in a member of the VAO/PCMH family, and provides a proof of concept for the use of an unbiased method to sample this process.
Effort-reward balance as a mediator of the relationship between supplementary person-organization fit and perceived stress among middle-level managers.

OBJECTIVES The study has aimed to identify the relations between the supplementary person-organization fit (P-O fit) and the perceived stress among managerial staff, with special regard to the mediating role of the effort-reward balance. MATERIAL AND METHODS The study sample consisted of 715 middle-level managers, aged 25-64 years old, employed in large companies. To measure the selected variables, the authors used the Questionnaire of Effort-Reward Imbalance (ERI), Perceived Stress Scale - 10 (PSS-10), and Person-Organization Fit Questionnaire. RESULTS The regression analysis revealed that the perceived effort-reward imbalance partially mediated the negative relationship between the supplementary person-organization fit and stress. CONCLUSIONS The results suggest that even when the characteristics of the manager and organization are highly congruent, the managers will experience stress if their work involves heavy effort or when this effort is not compensated properly. Int J Occup Med Environ Health 2017;30(2):305-312.
A mechanism for host mobility management supporting application awareness

Many approaches exist today that address the issues that arise when a mobile node changes its point(s) of attachment to the Internet. Mobile IP takes care of host mobility at the IP layer; others at the transport layer (Mobile SCTP) or at the application layer (SIP with re-invite). In practice, most of these approaches rely on functionality residing on the mobile host that scans, detects and activates the networks available through one or more network interfaces.The mechanism proposed in this paper takes into account that multiple of these approaches may be applied at the same time. It provides the applications on the mobile host with information about the state of the lower-layer mobility management protocols (such as Mobile IP) as well as the state and characteristics of the available network resources. Applications may consecutively adapt their behavior depending on this mobility process information and thus accommodate to the changed network connectivity conditions, possibly in an application specific manner. In this paper, we present the architecture of our mobility management mechanism. We also describe the implementation of our prototype and the results of experiments with the mechanism, thereby addressing the complexities of an integrated application-aware mobility management system.
Levels and Health Risk Assessment of PM10 Aerosol in Brno, Czech Republic.

OBJECTIVE The main effort of this work was to evaluate the situation of the atmosphere in selected regions of Brno during the years 2009-2013 and to estimate health risks which might come up due to the increased concentrations of airborne particulate matter. METHODS PM10 samples were collected in four areas varying in degree of automobile traffic using automatic and gravimetric sampling methods. PM10 concentrations were assessed using Spearman's rank correlation coefficient. Health risks were estimated based on calculation of relative risks and population for four health endpoints. The selected health outcomes were premature mortality, cardiovascular disease, respiratory disease, and chronic bronchitis. RESULTS The highest PM10 concentrations were measured in two regions with high traffic loads T1, T2 and background region B2. The values were 34.33 ± 11.52 µg·m-3 in 2010, 34.87 ± 12.03 µg·m-3 in 2013 and 34.52 ± 8.81 µg·m-3 in 2009, respectively. The highest correlation was between T1 and T2 having Spearman's correlation coefficient 0.888 followed by T1-B1 pair with coefficient 0.886. For all health outcomes, the highest health effect of PM (E) was determined for T2 site in 2010 which was 48 ± 14, 49 ± 21, 44 ± 19 and 24 ± 10 for premature mortality, cardiovascular disease, respiratory disease, and chronic bronchitis, respectively. CONCLUSION The concentrations are highly correlated, especially in traffic regions. The annual concentrations did not exceed the legislation limit but 24-hours limit was exceeded more than two times in several cases. The highest number of cases with a given health outcome was estimated in traffic regions especially for cardiovascular disease and premature mortality.
Molecular genetic contributions to self-rated health

Background Poorer self-rated health (SRH) predicts worse health outcomes, even when adjusted for objective measures of disease at time of rating. Twin studies indicate SRH has a heritability of up to 60% and that its genetic architecture may overlap with that of personality and cognition. Methods We carried out a genome-wide association study (GWAS) of SRH on 111 749 members of the UK Biobank sample. Univariate genome-wide complex trait analysis (GCTA)-GREML analyses were used to estimate the proportion of variance explained by all common autosomal SNPs for SRH. Linkage Disequilibrium (LD) score regression and polygenic risk scoring, two complementary methods, were used to investigate pleiotropy between SRH in UK Biobank and up to 21 health-related and personality and cognitive traits from published GWAS consortia. Results The GWAS identified 13 independent signals associated with SRH, including several in regions previously associated with diseases or disease-related traits. The strongest signal was on chromosome 2 (rs2360675, p = 1.77x10−10) close to KLF7, which has previously been associated with obesity and type 2 diabetes. A second strong peak was identified on chromosome 6 in the major histocompatibility region (rs76380179, p = 6.15x10−10). The proportion of variance in SRH that was explained by all common genetic variants was 13%. Polygenic scores for the following traits and disorders were associated with SRH: cognitive ability, education, neuroticism, BMI, longevity, ADHD, major depressive disorder, schizophrenia, lung function, blood pressure, coronary artery disease, large vessel disease stroke, and type 2 diabetes. Conclusions Individual differences in how people respond to a single item on SRH are partly explained by their genetic propensity to many common psychiatric and physical disorders and psychological traits. Key Messages Genetic variants associated with common diseases and psychological traits are associated with self-rated health. The SNP-based heritability of self-rated health is 0.13 (SE 0.006). There is pleiotropy between self-rated health and psychiatric and physical diseases and psychological traits.
Efficient Management of Geographically Distributed Big Data on Clouds

Nowadays, cloud infrastructures allow storing and processing increasing amounts of scientific data. However, most of the existing large scale data management frameworks are based on the assumption that users deploy their data-intensive applications in single data center, few of them focus on the inter data centers data flows. Managing data across geographically distributed data centers is not trivial as it involves high and variable latencies among sites which come at a high monetary cost. In this report, we introduce an uniform data management system for disseminating scientific data across geographically distributed sites. Our solution is environment-aware, as it monitors and models the global cloud infrastructure, and offers predictable data handling performances for transfer cost and time. In terms of efficiency, it leverages for applications the possibility to set the tradeoff to be done between money and time and optimizes the transfer strategy accordingly. A prototype of our system has been implemented in the Windows Azure Cloud, and we obtain some encouraging results from the extensive evaluations.
Centenarians Differ in Their Comorbidity Trends During The 6 Years Before Death Compared to Individuals Who Died in Their 80s or 90s

Background While compression of morbidity has now been studied in multiple cohorts, we hypothesize that centenarians might also have fewer chronic conditions as well. We assume that individuals who die as centenarians have less comorbidities and have a less steep rise of the number of comorbidities over the final years before death compared to those who died as nonagenarians (90-99 years) or octogenarians (80-89 years of age). Methods This German cohort study used health insurance data. The data contain complete information on diagnoses and health care transactions for the 6 years prior to death. The sample (N = 1,398; 34,735-person calendar quarters) is comprised of three groups of individuals; those who died as centenarians were compared with random samples of individuals who died as nonagenarians or as octogenarians. Community-dwelling and institutionalized individuals were included. Results One quarter prior to death, individuals who died as centenarians had, on average, 3.3 comorbidities. Octogenarians had 4.6 comorbidities one quarter prior to death. Further, there was a significant time-to-death by age-at-death interaction (B = -.03, p < .001), where centenarians showed a less steep increase in the number of comorbidities than the comparison groups in their last 6 years prior to death. Conclusions The lower prevalence of comorbidities in individuals who died as centenarians compared with those who died at a younger age reinforces the notion of centenarians as a selective group. Avoiding the confounding and potentially synergistic effects of having multiple chronic illnesses is likely vital to being able to survive to extreme ages.
The Fundamentals of Person-Centered Care for Individuals With Dementia.

Background and Objectives Person-centered care is a philosophy of care built around the needs of the individual and contingent upon knowing the unique individual through an interpersonal relationship. This review article outlines the history, components, and impact of person-centered care practices. Research Design and Methods Through literature review, published articles on person-centered measures and outcomes were examined. Results The history of person-centered care was described, core principles of care for individuals with dementia outlined, current tools to measure person-centered care approaches reviewed, and outcomes of interventions discussed. Discussion and Implications Evidence-based practice recommendations for person-centered care for individuals with dementia are outlined. More research is needed to further assess the outcomes of person-centered care approaches and models.
AMPK Serves as a Therapeutic Target Against Anemia of Inflammation.

AIMS Anemia of inflammation (AI), the second prevalent anemia, is associated with worse prognosis and increased mortality in numerous chronic diseases. We recently reported that the gasotransmitter hydrogen sulfide (H2S) suppressed the inflammatory activation of signal transducer and activator of transcription 3 (STAT3) and hepcidin, the critical mediators of AI. Adenosine 5'-monophosphate-activated protein kinase (AMPK) is a novel inflammatory regulator and might be activated by H2S. In this study, we determined whether AMPK played a role in H2S-mediated anti-inflammatory response in AI and evaluated the therapeutic potential of AMPK against AI by pharmacological and clinical approaches. RESULTS We showed that AMPK mediated the inhibition of STAT3, hepcidin, and AI by H2S during inflammation. Moreover, pharmacological and genetic activation of AMPK ameliorated hepcidin production, corrected iron dysregulation, and relieved hypoferremia and anemia in both acute and chronic inflammation models in mice. Mechanistic studies indicated that AMPK suppressed STAT3/hepcidin activation by promoting proteasome-mediated Janus kinase 2 (JAK2) degradation, which was dependent on the intact function of suppressor of cytokine signaling 1 (SOCS1) and increased interactions between SOCS1 and JAK2. Most importantly, the AMPK activator metformin was associated with decreased serum hepcidin content and anemia morbidity in Chinese type 2 diabetes mellitus patients. INNOVATION This is the first study to demonstrate the inhibition of inflammatory hepcidin and AI by AMPK-induced JAK2 degradation. Our work uncovered AMPK as a novel therapeutic target, and metformin as a potential therapy against AI. CONCLUSION The present work demonstrated that AMPK mediated the therapeutic effects of H2S and relieved AI by promoting SOCS1-mediated JAK2 degradation. Antioxid. Redox Signal. 27, 251-268.
Inkjet-printed Light-emitting Devices: Applying Inkjet Microfabrication to Multilayer Electronics

This work presents a novel means of producing thin-film light-emitting devices, functioning according to the principle of electroluminescence, using an inkjet printing technique. This study represents the first report of a light-emitting device deposited completely by inkjet printing. An electroluminescent species, doped zinc sulfide, was incorporated into a polymeric matrix and deposited by piezoelectric inkjet printing. The layer was printed over other printed layers including electrodes composed of the conductive polymer poly(3,4-ethylenedioxythiophene), doped with poly(styrenesulfonate) (PEDOT:PSS) and single-walled carbon nanotubes, and in certain device structures, an insulating species, barium titanate, in an insulating polymer binder. The materials used were all suitable for deposition and curing at low to moderate (<150°C) temperatures and atmospheric pressure, allowing for the use of polymers or paper as supportive substrates for the devices, and greatly facilitating the fabrication process. The deposition of a completely inkjet-printed light-emitting device has hitherto been unreported. When ZnS has been used as the emitter, solution-processed layers have been prepared by spin-coating, and never by inkjet printing. Furthermore, the utilization of the low-temperature-processed PEDOT:PSS/nanotube composite for both electrodes has not yet been reported. Device performance was compromised compared to conventionally prepared devices. This was partially due to the relatively high roughness of the printed films. It was also caused by energy level misalignment due to quantization (bandgap widening) of the small (<10 nm) nanoparticles, and the use of high work function cathode materials (Al and PEDOT:PSS). Regardless of their reduced performance, inkjet printing as a deposition technique for these devices presents unique advantages, the most notable of which are rapidity of fabrication and patterning, substrate flexibility, avoidance of material wastage by using drop-on-demand technology, and the need for only one main unit operation to produce an entire device. %%%%PhD
Multiband TDOA estimation from sub-Nyquist samples with distributed wideband sensing nodes

In this work, we estimate relative autocorrelation functions of multiple unknown transmissions that occupy distinct narrowband frequency bands from their sub-Nyquist samples. To be able to do so, we employ a network of distributed sensing nodes that are equipped with a sub-Nyquist receiver system and have access to a common clock. Utilizing low-rate out-puts of different nodes, we recover the central frequencies and the relative autocorrelation functions of individual transmissions within the wideband input, where the latter can then be used to determine corresponding time differences of arrival (TDoAs). We propose two recovery approaches; we either recover the central frequencies and the relative autocorrelations jointly or adopt a two-step procedure where the two are estimated independently. Our numerical results confirm the applicability of the proposed methods for relative multiband autocorrelation estimation from sub-Nyquist samples.