Miracle-dz/UniFAR-FTUs huggingface dataset:
MANIPULATIONS OF EXTRACELLULAR LOOP 2 IN a 1 GLYR ULTRASENSITIVE ETHANOL RECEPTORS ( USERS ) ENHANCE RECEPTOR SENSITIVITY TO ISOFLURANE , ETHANOL , AND LIDOCAINE , BUT NOT

We recently developed ultra-sensitive ethanol receptors (USERs) as a novel tool for investigation of single receptor subunit populations sensitized to extremely low ethanol concentrations that do not affect other receptors in the nervous system. To this end, we found that mutations within the extracellular Loop 2 region of glycine receptors (GlyRs) and c-aminobutyric acid type A receptors (GABAARs) can significantly increase receptor sensitivity to micro-molar concentrations of ethanol resulting in up to a 100-fold increase in ethanol sensitivity relative to wild-type (WT) receptors. The current study investigated: (1) Whether structural manipulations of Loop 2 in a1 GlyRs could similarly increase receptor sensitivity to other anesthetics; and (2) If mutations exclusive to the C-terminal end of Loop 2 are sufficient to impart these changes. We expressed a1 GlyR USERs in Xenopus oocytes and tested the effects of three classes of anesthetics, isoflurane (volatile), propofol (intravenous), and lidocaine (local), known to enhance glycine-induced chloride currents using two-electrode voltage clamp electrophysiology. Loop 2 mutations produced a significant 10-fold increase in isoflurane and lidocaine sensitivity, but no increase in propofol sensitivity compared to WT a1 GlyRs. Interestingly, we also found that structural manipulations in the C-terminal end of Loop 2 were sufficient and selective for a1 GlyR modulation by ethanol, isoflurane, and lidocaine. These studies are the first to report the extracellular region of a1 GlyRs as a site of lidocaine action. Overall, the findings suggest that Loop 2 of a1 GlyRs is a key region that mediates isoflurane and lidocaine modulation. Moreover, the results identify important amino acids in Loop 2 that regulate isoflurane, lidocaine, and ethanol action. Collectively, these data indicate the commonality of the sites for isoflurane, lidocaine, and ethanol action, and the structural requirements for allosteric modulation on a1 GlyRs within the extracellular Loop 2 region. 2015 IBRO. Published by Elsevier Ltd. All rights reserved.
Mitochondrial Dysfunction, Through Impaired Autophagy, Leads to Endoplasmic Reticulum Stress, Deregulated Lipid Metabolism, and Pancreatitis in Animal Models.

BACKGROUND & AIMS Little is known about the signaling pathways that initiate and promote acute pancreatitis (AP). The pathogenesis of AP has been associated with abnormal increases in cytosolic Ca2+, mitochondrial dysfunction, impaired autophagy, and endoplasmic reticulum (ER) stress. We analyzed the mechanisms of these dysfunctions and their relationships, and how these contribute to development of AP in mice and rats. METHODS Pancreatitis was induced in C57BL/6J mice (control) and mice deficient in peptidylprolyl isomerase D (cyclophilin D, encoded by Ppid) by administration of L-arginine (also in rats), caerulein, bile acid, or an AP-inducing diet. Parameters of pancreatitis, mitochondrial function, autophagy, ER stress, and lipid metabolism were measured in pancreatic tissue, acinar cells, and isolated mitochondria. Some mice with AP were given trehalose to enhance autophagic efficiency. Human pancreatitis tissues were analyzed by immunofluorescence. RESULTS Mitochondrial dysfunction in pancreas of mice with AP was induced by either mitochondrial Ca2+ overload or through a Ca2+ overload-independent pathway that involved reduced activity of ATP synthase (80% inhibition in pancreatic mitochondria isolated from rats or mice given L-arginine). Both pathways were mediated by cyclophilin D and led to mitochondrial depolarization and fragmentation. Mitochondrial dysfunction caused pancreatic ER stress, impaired autophagy, and deregulation of lipid metabolism. These pathologic responses were abrogated in cyclophilin D-knockout mice. Administration of trehalose largely prevented trypsinogen activation, necrosis, and other parameters of pancreatic injury in mice with L-arginine AP. Tissues from patients with pancreatitis had markers of mitochondrial damage and impaired autophagy, compared with normal pancreas. CONCLUSIONS In different animal models, we find a central role for mitochondrial dysfunction, and for impaired autophagy as its principal downstream effector, in development of AP. In particular, the pathway involving enhanced interaction of cyclophilin D with ATP synthase mediates L-arginine-induced pancreatitis, a model of severe AP the pathogenesis of which has remained unknown. Strategies to restore mitochondrial and/or autophagic function might be developed for treatment of AP.
Positively worded subscale score of the Perceived Stress Scale is associated with cognitive domain function

Objectives To examine the cross-sectional associations of the separate subscales of the Perceived Stress Scale (PSS) and tests measuring cognitive domains in older adults Methods 897 adults over the age of 70 free of amnestic mild cognitive impairment and dementia and enrolled in the Einstein Aging Study made up the study sample. The PSS-14 was used to measure stress. Three cognitive domains (language, episodic memory, and frontal-executive) had previously been found using principle component analysis. Linear regression analyses were used to determine the relationship between the PSS subscales and cognitive domain function. Results The study sample had a mean age of 79.1 years and 62.8% were female. Bivariate correlations show that the PSS-14 positively worded subscale of the PSS (PSS-PW) was significantly associated with all three cognitive domains (language: r = −0.15, p < 0.001; episodic memory: r = −0.16, p < 0.001; frontal-executive: r = −0.21, p <0.001) while the negatively worded subscale of the PSS (PSS-NW) was not significantly associated with any cognitive domain. In linear regression analyses adjusted for age, white race, gender, years of education, and depressive symptoms, the PSS-PW remained significantly associated with each of the cognitive domains. The PSS-NW was not associated with any cognitive domains in any model. The PSS-14 was significantly associated with language and episodic memory, but not the frontal-executive domain. Conclusion Worse PSS-PW scores are associated with reduced cognitive function in the executive, memory, and language domains in nondemented older adults. The PSS-PW subscale correlated better with cognitive function than the overall PSS-14. Future research should evaluate the temporality of the association and if stress reduction therapies improve cognitive performance.
On Atmospheric-Oceanic-Land Temperature Variability and Trends

The reported overall rise in global surface temperatures since the latter 19th Century is viewed largely as an atmospheric phenomena. However, we show that the global ocean is an important component in determining global surface temperatures. Via an empirical, mathematical methodology, we reveal the intrinsic modes of variability of planetary temperatures over the past 160 years, and find periods of cooling and warming, with multiple modes of variability; seasonal, inter-annual, decadal, multi-decadal and an overall warming trend. Our calculated overall rate of warming differs significantly from the estimate of the Intergovernmental Program on Climate Change, as well as the Nongovernmental Panel on Climate Change. We also investigate the modes of variability of recognized climate factors, and find a previously unreported 140 year cycle in two climate system data sets. A relatively large amplitude 60 - 70 year cycle mode appears in all of the climate factors, and may be related to the time scale of the oceanic Meridional Overturning Circulation. This and other oceanic features may modulate global surface temperatures. An empirical relationship between fossil fuel burning and the global surface temperature anomaly time series overall trend emerges from our reduction of the non-stationary, non-linear data.
THE EFFICACY OF NALBUPHINE, MEDETOMIDINE, AND AZAPERONE IN IMMOBILIZING AMERICAN BISON (BISON BISON)

Abstract We evaluated a combination of nalbuphine, medetomidine, and azaperone (NalMed-A) in 12 American bison (Bison bison) during 13 sedation handling events. The mean (SE) dosage was 0.4 (0.02) mg/kg nalbuphine, 0.08 (0.003) mg/kg medetomidine, and 0.08 (0.003) mg/kg azaperone contained in an average delivery volume of 0.8 mL/100 kg. Two animals required a supplemental dose for safe handling (additive dose used in calculating means) and a third animal was not adequately sedated despite a supplemental dose. Bison immobilized with NalMed-A showed good sedation in 12 of 13 handling attempts. Advantages of this drug combination included a relatively low delivery volume, rapid antagonism, and minimal regulatory burden for component drugs. The most consistent disadvantage was hypoxemia, and oxygen supplementation is recommended when using this sedative combination in bison.
Treating Severe Knee Osteoarthritis with Combination of Intra-Osseous and Intra-Articular Infiltrations of Platelet-Rich Plasma: An Observational Study

Objective Assessing the therapeutic effects of a combination of intra-articular and intra-osseous infiltrations of platelet-rich plasma (PRP) to treat severe knee osteoarthritis (KOA) using intra-articular injections of PRP as the control group. Design In this observational study, 60 patients suffering from severe KOA were treated with intra-articular infiltrations of PRP (IA group) or with a combination of intra-osseous and intra-articular infiltrations of PRP (IO group). Both groups were matched for sex, age, body mass index, and radiographic severity (III and IV degree according to Ahlbäck scale). Clinical outcome was evaluated at 2, 6, and 12 months, using the Knee injury and Osteoarthritis Outcome Score (KOOS) and Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) questionnaires. Results At 2, 6 and 12 months after treatment, IO group had a significant improvement in all KOOS and WOMAC subscales (P < 0.05). On the contrary, patients of the IA group did not improve in any of the scores. Sixteen out of 30 IO group patients showed minimal clinically important improvement (MCII) whereas 8 out of 30 IA group patients showed this response at 6 months (26.7%; 95% CI −0.4 to 49.9; P = 0.037). At 12 months, 14 patients of IO group and 5 patients of the IA group showed MCII (30%; 95% CI 4.3 to 51.9; P = 0.013). No differences between groups were observed at 2 months. Conclusions PRP intra-articular injections in severe KOA were not effective and did not provide any benefit. Combination of intra-articular and intra-osseous infiltrations of PRP was not clinically superior at 2 months, but it showed superior clinical outcomes at 6 and 12 months when compared with intra-articular injections of PRP.
Automatic Radio Map Adaptation for Indoor Localization Using Smartphones

The proliferation of mobile computing has prompted WiFi-based indoor localization to be one of the most attractive and promising techniques for ubiquitous applications. A primary concern for these technologies to be fully practical is to combat harsh indoor environmental dynamics, especially for long-term deployment. Despite numerous research on WiFi fingerprint-based localization, the problem of radio map adaptation has not been sufficiently studied and remains open. In this work, we propose AcMu, an automatic and continuous radio map self-updating service for wireless indoor localization that exploits the static behaviors of mobile devices. By accurately pinpointing mobile devices with a novel trajectory matching algorithm, we employ them as mobile reference points to collect real-time RSS samples when they are static. With these fresh reference data, we adapt the complete radio map by learning an underlying relationship of RSS dependency between different locations, which is expected to be relatively constant over time. Extensive experiments for 20 days across six months demonstrate that AcMu effectively accommodates RSS variations over time and derives accurate prediction of fresh radio map with average errors of less than 5dB, outperforming existing approaches. Moreover, AcMu provides 2$\times$ improvement on localization accuracy by maintaining an up-to-date radio map.
Management of severe acute malnutrition in children under 5 years through the lens of health care workers in two rural South African hospitals

Background Despite the widespread implementation of the World Health Organization (WHO) guidelines for the management of severe malnutrition in South Africa, poor treatment outcomes for children under 5 years are still observed in some hospitals, particularly in rural areas. Objective To explore health care workers’ perceptions about upstream and proximal factors contributing to poor treatment outcomes for severe acute malnutrition in two district hospitals in South Africa. Methods An explorative descriptive qualitative study was conducted. Four focus group discussions were held with 33 hospital staff (senior clinical and management staff, and junior clinical staff) using interview guide questions developed based on the findings from an epidemiological study that was conducted in the same hospitals. Qualitative data were analysed using the framework analysis. Findings Most respondents believed that critical illness, which was related to early and high case fatality rates on admission, was linked to a web of factors including preference for traditional medicine over conventional care, gross negligence of the child at household level, misdiagnosis of severe malnutrition at the first point of care, lack of specialised skills to deal with complex presentations, shortage of patient beds in the hospital and policies to discharge patients before optimal recovery. The majority believed that the WHO guidelines were effective and relatively simple to implement, but that they do not make much difference among severe acute malnutrition cases that are admitted in a critical condition. Poor management of cases was linked to the lack of continuity in training of rotating clinicians, sporadic shortages of therapeutic resources, inadequate staffing levels after normal working hours and some organisational and system-wide challenges beyond the immediate control of clinicians. Conclusion Findings from this study suggest that effective management of paediatric severe acute malnutrition in the study setting is affected by a multiplicity of factors that manifest at different levels of the health system and the community. A verificatory study is encouraged to collaborate these findings.
Comparing the characteristics of people living with and without HIV in long-term care and home care in Ontario, Canada

Population aging and successful drug therapy in human immunodeficiency virus (HIV) management mean that more people are living longer with HIV. As these individuals age, they become more at risk of developing other chronic health conditions which will have many implications for disease management and choice of care setting. As people living with HIV turn to home care and long-term care (LTC) settings for care, understanding the particular needs of this population is becoming increasingly important. This study sought to describe the sociodemographic, clinical, and social attributes of people living with HIV in the home care and institutional environments. This work involved secondary analysis of data collected from both the international Resident Assessment Instruments (interRAI) home care and minimum data set instruments in the Canadian province of Ontario. Descriptive analysis was used to describe key attributes of people living with and without HIV in LTC, complex continuing care, and home care settings. A comparison of differences between people living with HIV across the three environments was also done using Chi-square analysis. People living with HIV were often younger, male and unmarried than other populations in the care settings studied. Together with specific health needs associated with issues like mental health and social isolation, people living with HIV represent a population with complex and distinctive health needs. Finding ways to better understand the needs of this vulnerable population will help to develop strategies to provide better formal and informal care and improve the quality of life of this group. interRAI standardized assessment instruments may be important tools for meeting this challenge.
Design and simulation of multi layer parasitic microstrip biquad patch antenna for WLAN 2.4GHz applications

In this paper, multi layer parasitic microstrip biquad patch antenna is designed and simulated for WLAN applications at 2.4 GHz ISM band. This antenna is composed by five elements biquad patch 1/4 wavelength with addition of flat reflector. Low cost FR-4 material is used as antenna substrate. The antenna is designed and simulated using Computer Simulation Technology (CST) Microwave Studio software. The results show that return loss is −31.13 dB, VSWR of 1.05 with bandwidth of 183.42 MHz at return loss below −10 dB. This antenna has a linear polarization with unidirectional radiation pattern. Directivity is 12.28 dB and maximum gain is 11.71 dBi. Thus, the results indicated that it's a great performance of long-range antenna for WLAN's communications at operating band is possible in practice.
A socio-interpersonal approach to adjustment disorder: the example of involuntary job loss

ABSTRACT Background: Adjustment disorder (AjD) was redefined for ICD-11 with core symptoms of preoccupation with a stressor and failure to adapt. The socio-interpersonal framework model for stress-response syndromes suggests that interpersonal factors, besides intrapersonal processes, substantially contribute to the development of AjD. Objective: The current study aimed to identify predictive factors in the development of AjD symptoms by the application of a framework model for stress-response syndromes. Method: N = 321 recently laid-off participants (47.7% female) were assessed with a newly developed standardized clinical diagnostic interview section on ICD-11 AjD. Self-report questionnaires measured AjD symptom severity, and interpersonal and intrapersonal predictors. Path analysis was used to model the associations between AjD symptom severity and the predictor variables. We conducted logistic regression to identify associated characteristics of diagnostic status. Results: AjD symptoms were highly prevalent and 25.6% of participants met the diagnostic criteria. Higher loneliness, higher dysfunctional disclosure, and lower self-efficacy were associated with both higher symptom severity and higher likelihood of meeting the diagnostic criteria for AjD. Higher perceived social support was associated with higher likelihood for AjD diagnosis. Conclusions: Research on risk factors for AjD is still sparse. This study provided empirical evidence on the role of interpersonal factors supporting the socio-interpersonal model for stress-response syndromes.
Prediction of storm transfers and annual loads with data-based mechanistic models using high-frequency data

Abstract. Excess nutrients in surface waters, such as phosphorus (P) from agriculture, result in poor water quality, with adverse effects on ecological health and costs for remediation. However, understanding and prediction of P transfers in catchments have been limited by inadequate data and over-parameterised models with high uncertainty. We show that, with high temporal resolution data, we are able to identify simple dynamic models that capture the P load dynamics in three contrasting agricultural catchments in the UK. For a flashy catchment, a linear, second-order (two pathways) model for discharge gave high simulation efficiencies for short-term storm sequences and was useful in highlighting uncertainties in out-of-bank flows. A model with non-linear rainfall input was appropriate for predicting seasonal or annual cumulative P loads where antecedent conditions affected the catchment response. For second-order models, the time constant for the fast pathway varied between 2 and 15 h for all three catchments and for both discharge and P, confirming that high temporal resolution data are necessary to capture the dynamic responses in small catchments (10–50 km2). The models led to a better understanding of the dominant nutrient transfer modes, which will be helpful in determining phosphorus transfers following changes in precipitation patterns in the future.
Psychosocial interventions enhance HIV medication adherence: A systematic review and meta-analysis

About 40 per cent of people living with HIV do not sufficiently adhere to their medication regimen, which adversely affects their health. The current meta-analysis investigated the effect of psychosocial interventions on medication adherence in people living with HIV. Databases were systematically searched, resulting in 43 included randomized controlled trials. Study and intervention characteristics were investigated as moderators. The overall effect size indicates a small to moderate positive effect (Hedges’ g = 0.37) of psychosocial interventions on medication adherence in people living with HIV. No evidence for publication bias was found. This meta-analysis study concludes that various psychosocial interventions can improve medication adherence and thereby the health of people living with HIV.
Deep Learning in Neuroradiology

SUMMARY: Deep learning is a form of machine learning using a convolutional neural network architecture that shows tremendous promise for imaging applications. It is increasingly being adapted from its original demonstration in computer vision applications to medical imaging. Because of the high volume and wealth of multimodal imaging information acquired in typical studies, neuroradiology is poised to be an early adopter of deep learning. Compelling deep learning research applications have been demonstrated, and their use is likely to grow rapidly. This review article describes the reasons, outlines the basic methods used to train and test deep learning models, and presents a brief overview of current and potential clinical applications with an emphasis on how they are likely to change future neuroradiology practice. Facility with these methods among neuroimaging researchers and clinicians will be important to channel and harness the vast potential of this new method.
Mitigating cloud co-resident attacks via grouping-based virtual machine placement strategy

Security is one of the biggest concerns for the further adoption of Clouds. However, Cloud providers usually assign VMs leased by different customers upon the same physical server. Albeit maximizing resource efficiency, this cross-domain sharing poses a serious threat to customers' privacy concerns. A malicious VM could break or bypass the isolation mechanism and execute certain cross-VM attacks, such as side channel attacks or memory Dos attacks, etc. However, most of previous solutions are either attack-specific or unsuitable for immediate deployment, making the mitigation techniques for co-resident attacks still an important and worth-studying problem in cloud security. In this paper, we propose a novel grouping-based VM placement strategy to provide a secure optimization for existing VM placement policies. The theoretical analysis and simulation results show that our strategy decreases enormously the probability of co-residence while incurring only a slight loss on resource efficiency. The results also demonstrate that our strategy is significantly more effective in terms of both co-location resistance and resources efficiency, compared with the CLR policy.