Miracle-dz/UniFAR-FTUs huggingface dataset:
Associations of knowledge of Alzheimer’s disease and memory loss and employment status with burden in African American and Caucasian family caregivers

Caring for an individual living with Alzheimer’s disease and other forms of dementia is especially challenging and impacts every aspect of the lives of the family caregivers. Family caregiving is defined as informal, unpaid care provided by family or friends to people with a chronic illness or disability. Caregiver burden, often experienced by a caregiver for a cognitively impaired family member, is multifaceted involving physical, psychological, social, and emotional problems. To date, little has been done to examine the relationship between the knowledge of Alzheimer’s disease and memory loss and caregiver burden. To fill this gap, a cross sectional, correlational design was employed to collect data from a convenience sample (N = 104) of African American and Caucasian dementia family caregivers. For this study, caregivers ranged from 25 to 89 years of age with African American caregivers possessing significantly lower levels of knowledge about Alzheimer’s disease and other dementias compared to Caucasian caregivers, p < . 001. There were 44 caregivers who scored 41 or greater on the Caregiver Burden Inventory corresponding to moderate to severe and higher levels of burden. Results of hierarchical multiple regression models indicated that higher levels Alzheimer’s disease knowledge was significantly associated with lower caregiver burden for all caregivers, B = −0.294, p < . 01. Additionally, employment status was significantly associated with caregiver burden. This study highlights the benefits of including disease specific knowledge within educational components of dementia related interventions and programs involving families.
Physical Activity Among Israeli-Arab Adolescent Males: How Do Parenting Styles Matter?

Physical activity contains many benefits for adolescents’ physical and mental health, and also for building healthy living routines and habits for the future. The current study examined the associations between parenting styles and adolescents’ physical activity among Israeli-Arab families of male adolescents, in seeking to boost the limited information on this most important topic. Participants consisted of 177 male Israeli-Arab adolescents (M = 13.93, SD = 1.42) with normal weight. Controlling for the participants’ age, weight, and grades in school, parenting styles explained about 30% of the variance in the participants’ reports of their physical activity, with the authoritative and authoritarian parenting inversely correlated with the latter variable. Adolescents who perceived their parents as authoritative were reportedly more physically active than their counterparts who perceived their parents as authoritarian. In common with previous studies, the findings suggest that authoritative parenting may be a cross-culturally preferable style in fostering a desired physical activity rate among adolescents.
Learning to Segment Object Candidates via Recursive Neural Networks

To avoid the exhaustive search over locations and scales, current state-of-the-art object detection systems usually involve a crucial component generating a batch of candidate object proposals from images. In this paper, we present a simple yet effective approach for segmenting object proposals via a deep architecture of recursive neural networks (ReNNs), which hierarchically groups regions for detecting object candidates over scales. Unlike traditional methods that mainly adopt fixed similarity measures for merging regions or finding object proposals, our approach adaptively learns the region merging similarity and the objectness measure during the process of hierarchical region grouping. Specifically, guided by a structured loss, the ReNN model jointly optimizes the cross-region similarity metric with the region merging process as well as the objectness prediction. During inference of the object proposal generation, we introduce randomness into the greedy search to cope with the ambiguity of grouping regions. Extensive experiments on standard benchmarks, e.g., PASCAL VOC and ImageNet, suggest that our approach is capable of producing object proposals with high recall while well preserving the object boundaries and outperforms other existing methods in both accuracy and efficiency.
An integrated analysis of membrane remodeling during porcine reproductive and respiratory syndrome virus replication and assembly

Background Recently, three-dimensional (3D) imaging techniques have been used to detect viral invasion and the appearance of specialized structures established in virus-infected cells. These methods have had a positive impact in the field of virology and helped to further our knowledge of how viruses invade cells. Nearly all positive-strand RNA viruses propagate their viral genomes in part through intracellular membranes. Porcine reproductive and respiratory syndrome virus (PRRSV), an Arterivirus, accumulates viral RNA that forms replication complexes (RCs) in infected cells. In this study, using immunofluorescence and electron microscopy (EM), we dissected PRRSV-induced membrane structures in infected cells and determined the correlations between PRRSV particles and vesicles stimulated by PRRSV to understand the structural and dynamic aspects of PRRSV infection. Methods We identified the appropriate time point by determining the 50% tissue culture infectious dose (TCID50) and using qRT-PCR and Western blotting. The co-localization of viruses and organelles was determined by immunofluorescence and immune-electron microscopy (IEM). The ultrastructure of cells infected by PRRSV was observed using EM and electron tomography (ET). Results In our study, we found that PRRSV dsRNA was located at the endoplasmic reticulum (ER) and autophagosomes; in addition, the N protein was located at the mitochondria, ER and autophagosomes. Vesicles induced by PRRSV appeared at 16 hours post-infection (h.p.i.) and increased in size with time during the infection period. In addition, our findings demonstrated that the virus vesicles originated from the ER, and these two organelle structures connected with each other to form a reticulovesicular network (RVN) that provided a site for virus replication and assembly. Conclusion Our results revealed that membrane vesicles induced by PRRSV were derived from the ER. The vesicles may provide a location for PRRSV replication and assembly.
Tripartite motif‐containing 37 (TRIM37) promotes the aggressiveness of non‐small‐cell lung cancer cells by activating the NF‐κB pathway

Non‐small‐cell lung cancer (NSCLC), in which the NF‐κB pathway is constitutively activated, is one of the most common malignancies. Herein, we identify an E3 ubiquitin ligase, tripartite motif‐containing 37 (TRIM37), participating in the K63 polyubiquitination of TRAF2, which is a significant step in the activation of NF‐κB signaling. Both the mRNA and the protein expression levels of TRIM37 were much higher in NSCLC cell lines and tissues than in normal bronchial epithelial cells and matched adjacent non‐tumor tissues. TRIM37 expression correlated closely with clinical stage and poor survival in NSCLC. Overexpression of TRIM37 antagonized cisplatin‐induced apoptosis, induced angiogenesis and proliferation, and increased the aggressiveness of NSCLC cells in vitro and in vivo, whereas inhibition of TRIM37 led to the opposite effects. Gene set enrichment analysis (GSEA) showed that TRIM37 expression significantly correlated with NF‐κB signaling. Furthermore, we found that TRIM37 bound to TRAF2 and promoted K63‐linked ubiquitination of TRAF2, sustaining the eventual activation of the NF‐κB pathway. Mutation in the ring finger domain of TRIM37, a hallmark of E3 ubiquitin ligases, led to loss of the ability to promote K63 polyubiquitination of TRAF2 and activate NF‐κB signaling. Taken together, our findings provide evidence that TRIM37 plays an important role in constitutive NF‐κB pathway activation and could serve as a prognostic factor and therapeutic target in NSCLC. Copyright © 2018 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.
Deregulation of the G1/S-phase transition is the proximal cause of mortality in old yeast mother cells

In this study, Neurohr et al. investigated why old yeast cells stop dividing and die. They show that age-induced accumulation of the G1/S-phase inhibitor Whi5 and defects in G1/S cyclin transcription cause cell cycle delays and genomic instability that result in cell death, thus identifying deregulation of the G1/S-phase transition as the proximal cause of age-induced proliferation decline and cell death in budding yeast.
Unique Ca2+-Cycling Protein Abundance and Regulation Sustains Local Ca2+ Releases and Spontaneous Firing of Rabbit Sinoatrial Node Cells

Spontaneous beating of the heart pacemaker, the sinoatrial node, is generated by sinoatrial node cells (SANC) and caused by gradual change of the membrane potential called diastolic depolarization (DD). Submembrane local Ca2+ releases (LCR) from sarcoplasmic reticulum (SR) occur during late DD and activate an inward Na+/Ca2+ exchange current, which accelerates the DD rate leading to earlier occurrence of an action potential. A comparison of intrinsic SR Ca2+ cycling revealed that, at similar physiological Ca2+ concentrations, LCRs are large and rhythmic in permeabilized SANC, but small and random in permeabilized ventricular myocytes (VM). Permeabilized SANC spontaneously released more Ca2+ from SR than VM, despite comparable SR Ca2+ content in both cell types. In this review we discuss specific patterns of expression and distribution of SR Ca2+ cycling proteins (SR Ca2+ ATPase (SERCA2), phospholamban (PLB) and ryanodine receptors (RyR)) in SANC and ventricular myocytes. We link ability of SANC to generate larger and rhythmic LCRs with increased abundance of SERCA2, reduced abundance of the SERCA inhibitor PLB. In addition, an increase in intracellular [Ca2+] increases phosphorylation of both PLB and RyR exclusively in SANC. The differences in SR Ca2+ cycling protein expression between SANC and VM provide insights into diverse regulation of intrinsic SR Ca2+ cycling that drives automaticity of SANC.
A Multi-Server Two-Factor Authentication Scheme with Un-Traceability Using Elliptic Curve Cryptography

To provide secure communication, the authentication-and-key-agreement scheme plays a vital role in multi-server environments, Internet of Things (IoT), wireless sensor networks (WSNs), etc. This scheme enables users and servers to negotiate for a common session initiation key. Our proposal first analyzes Amin et al.’s authentication scheme based on RSA and proves that it cannot provide perfect forward secrecy and user un-traceability, and is susceptible to offline password guessing attack and key-compromise user impersonation attack. Secondly, we provide that Srinivas et al.’s multi-server authentication scheme is not secured against offline password guessing attack and key-compromise user impersonation attack, and is unable to ensure user un-traceability. To remedy such limitations and improve computational efficiency, we present a multi-server two-factor authentication scheme using elliptic curve cryptography (ECC). Subsequently, employing heuristic analysis and Burrows–Abadi–Needham logic (BAN-Logic) proof, it is proven that the presented scheme provides security against all known attacks, and in particular provides user un-traceability and perfect forward security. Finally, appropriate comparisons with prevalent works demonstrate the robustness and feasibility of the presented solution in multi-server environments.
Extended-time of Noninvasive Positive Pressure Ventilation Improves Tissue Perfusion after Coronary Artery Bypass Surgery: a Randomized Clinical Trial

Objective To compare the effects of extended- versus short-time noninvasive positive pressure ventilation on pulmonary function, tissue perfusion, and clinical outcomes in the early postoperative period following coronary artery bypass surgery in patients with preserved left ventricular function. Methods Patients were randomized into two groups according to noninvasive positive pressure ventilation intensity: short-time noninvasive positive pressure ventilation n=20 (S-NPPV) and extended-time noninvasive positive pressure ventilation n=21 (E-NPPV). S-NPPV was applied for 60 minutes during immediate postoperative period and 10 minutes, twice daily, from postoperative days 1-5. E-NPPV was performed for at least six hours during immediate postoperative period and 60 minutes, twice daily, from postoperative days 1-5. As a primary outcome, tissue perfusion was determined by central venous oxygen saturation and blood lactate level measured after anesthetic induction, immediately after extubation and following noninvasive positive pressure ventilation protocols. As a secondary outcome, pulmonary function tests were performed preoperatively and in the postoperative days 1, 3, and 5; clinical outcomes were recorded. Results Significant drop in blood lactate levels and an improvement in central venous oxygen saturation values in the E-NPPV group were observed when compared with S-NPPV group after study protocol (P<0.01). The E-NPPV group presented higher preservation of postoperative pulmonary function as well as lower incidence of respiratory events and shorter postoperative hospital stay (P<0.05). Conclusion Prophylactic E-NPPV administered in the early postoperative period of coronary artery bypass surgery resulted in greater improvements in tissue perfusion, pulmonary function and clinical outcomes than S-NPPV, in patients with preserved left ventricular function. Trial Registration Brazilian Registry of Clinical trial - RBR7sqj78 - http://www.ensaiosclinicos. gov.br
Robust QSAR prediction models for volume of distribution at steady state in humans using relative distance measurements

ABSTRACT The building of quantitative structure–activity relationship (QSAR) models for the in silico prediction of volume distribution for drugs at steady-state levels is vital for the selection of potential drugs at the synthesis stage. Using molecular descriptor matrixes, some regression models presenting low accuracy have been proposed, mainly due to the difficulty of compiling an appropriate dataset and the lack of information on dataset representation. In this paper, we use a benchmark dataset of very diverse drugs for the development of predictive models for volume distribution based on the use of relative distance matrixes as the input data to QSAR algorithms. Support vector machine, complex tree, bagged tree and Gaussian process regression algorithms were tested for fingerprint, similarity and relative distance matrixes used as input data, and the results of the built models were compared. Relative distance matrixes generated robust regression models in the training and external validation stages performed using cross-validation, obtaining values for correlation coefficient, bias, slope and root-mean-square error close to the ideal. Relative distance matrixes were also used for the design of classification models, obtaining excellent results with values of accuracy and area under receiver operating characteristic (AUC) close to 100%.
Label-free high-speed wide-field imaging of single microtubules using interference reflection microscopy

When studying microtubules in vitro, label free imaging of single microtubules is necessary when the quantity of purified tubulin is too low for efficient fluorescent labeling or there is concern that labelling will disrupt its function. Commonly used techniques for observing unlabeled microtubules, such as video enhanced differential interference contrast, dark-field and more recently laser-based interferometric scattering microscopy, suffer from a number of drawbacks. The contrast of differential interference contrast images depends on the orientation of the microtubules, dark-field is highly sensitive to impurities and optical misalignments, and interferometric scattering has a limited field of view. In addition, all of these techniques require costly optical components such as Nomarski prisms, dark-field condensers, lasers and laser scanners. Here we show that single microtubules can be imaged at high speed and with high contrast using interference reflection microscopy without the aforementioned drawbacks. Interference reflection microscopy is simple to implement, requiring only the incorporation of a 50/50 mirror instead of a dichroic in a fluorescence microscope, and with appropriate microscope settings has similar signal-to-noise ratio to differential interference contrast and fluorescence. We demonstrated the utility of interference reflection microscopy by high speed imaging and tracking of dynamic microtubules at 100 frames per second. In conclusion, the image quality of interference reflection microscopy is similar to or exceeds that of all other techniques and, with minimal microscope modification, can be used to study the dynamics of unlabeled microtubules.
Coenzyme Q10 Modulates Remodeling Possibly by Decreasing Angiotensin-Converting Enzyme in Patients with Acute Coronary Syndrome

The study aims to examine the effects of coenzyme Q10, (a bioenergetic antioxidant), on the indexes of left ventricular remodeling, oxidative damage, and angiotensin-converting enzyme (ACE) level after acute myocardial infarction (AMI) with left ventricular dysfunction. In a double blind, randomized, placebo-controlled, parallel group study (a retrospective analysis of an earlier trial) in 55 patients with left ventricular ejection fraction <50% after AMI, the effects of coenzyme Q10 (120 mg/day) or placebo were studied for 24 weeks. Two-dimensional echocardiography was performed at discharge, (approximately 5–10 days after admission) and at 6 months after AMI. The results revealed that wall thickness opposite the site of infarction decreased from (mean ± standard deviation (SD)) 12.2 ± 2.0 mm to 10.0 ± 1.8 mm with coenzyme Q10 compared with 12.8 ± 2.2 mm to 13.3 ± 2.3 mm with placebo (p < 0.01). Left ventricular mass changed from 236 ± 72 g to 213 ± 61 g with coenzyme Q10 compared with 230 ± 77 g to 255 ± 86 g with placebo (p < 0.01). Treatment with coenzyme Q10 also prevented alteration of sphericity index which is a ratio of the long and short axis of the left ventricle (which changed from 1.61 ± 0.28 to 1.63 ± 0.30 with coenzyme Q10 compared with 1.61 ± 0.32 to 1.41 ± 0.31 with placebo (p < 0.05)). Coenzyme Q10 also prevented alteration of the wall thickening abnormality at the infarct site, which changed from 9.4 ± 3.0 cm2 to 9.1 ± 2.8 cm2 compared with 10.1 ± 3.1 to 13.7 ± 4.2 cm2 with placebo (p < 0.05). End diastolic and systolic volumes also showed significant reduction with coenzyme Q10 compared to placebo. The serum level of ACE showed significant decline in the coenzyme Q10 group compared to the control group. Treatment with coenzyme Q10 early after AMI causes attenuation of left ventricular remodeling and decreases the serum ACE level in patients with left ventricular dysfunction.
Identification and Characterization of Long Noncoding RNAs in Ovine Skeletal Muscle

Simple Summary LncRNAs may play important role in many biological processes. The aims of this research were to identify potential lncRNAs active in skeletal muscle of the Texel and Ujumqin sheep and investigate their functions. Overall, 2002 lncRNA transcripts were found, some of which may be related to muscle development. The findings obtained here should promote understanding of the regulatory functions of lncRNAs in ovine muscle development and potentially also in other mammals. Abstract Long noncoding RNAs (lncRNAs) are increasingly being recognized as key regulators in many cellular processes. However, few reports of them in livestock have been published. Here, we describe the identification and characterization of lncRNAs in ovine skeletal muscle. Eight libraries were constructed from the gastrocnemius muscle of fetal (days 85 and 120), newborn and adult Texel and Ujumqin sheep. The 2002 identified transcripts shared some characteristics, such as their number of exons, length and distribution. We also identified some coding genes near these lncRNA transcripts, which are particularly associated with transcriptional regulation- and development-related processes, suggesting that the lncRNAs are associated with muscle development. In addition, in pairwise comparisons between the libraries of the same stage in different breeds, a total of 967 transcripts were differentially expressed but just 15 differentially expressed lncRNAs were common to all stages. Among them, we found that TCONS_00013201 exhibited higher expression in Ujumqin samples, while TCONS_00006187 and TCONS_00083104 were higher in Texel samples. Moreover, TCONS_00044801, TCONS_00008482 and TCONS_00102859 were almost completely absent from Ujumqin samples. Our results suggest that differences in the expression of these lncRNAs may be associated with the muscular differences observed between Texel and Ujumqin sheep breeds.
The Intersection of Behavioral Science and Digital Health: The Case for Academic–Industry Partnerships

A decade after the first health app became available, the field of digital health has produced a range of health behavior insights and an expanding product portfolio. Despite sustained interest and growth fueled by academic and industry interests, the impact of digital health on health behavior change and related outcomes has been limited. This underperformance relative to expectations may be partially attributed to a gap between industry and academia in which both seek to develop technology-driven solutions but fail to converge around respective, unique strengths. An opportunity exists for new and improved collaborative models of research, innovation, and care delivery that disrupt the field of behavioral medicine and benefit academic and industry interests. For those partnerships to thrive, recognizing key differences between academic and industry roles may help smooth the path. Here we speak specifically to concerns particular to academics and offer suggestions for how to navigate related challenges.
Determination of the Role of Microcystis aeruginosa in Toxin Generation Based on Phosphoproteomic Profiles

Microcystis aeruginosa is the most common species responsible for toxic cyanobacterial blooms and is considered a significant contributor to the production of cyanotoxins, particularly the potent liver toxins called microcystins. Numerous studies investigating Microcystis spp. blooms have revealed their deleterious effects in freshwater environments. However, the available knowledge regarding the global phosphoproteomics of M. aeruginosa and their regulatory roles in toxin generation is limited. In this study, we conducted comparative phosphoproteomic profiling of non-toxic and toxin-producing strains of M. aeruginosa. We identified 59 phosphorylation sites in 37 proteins in a non-toxic strain and 26 phosphorylation sites in 18 proteins in a toxin-producing strain. The analysis of protein phosphorylation abundances and functions in redox homeostasis, energy metabolism, light absorption and photosynthesis showed marked differences between the non-toxic and toxin-producing strains of M. aeruginosa, indicating that these processes are strongly related to toxin generation. Moreover, the protein-protein interaction results indicated that BJ0JVG8 can directly interact with the PemK-like toxin protein B0JQN8. Thus, the phosphorylation of B0JQN8 appears to be associated with the regulatory roles of toxins in physiological activity.