Miracle-dz/UniFAR-FTUs huggingface dataset:
Health Impacts and Characteristics of Deprescribing Interventions in Older Adults – a Protocol of a Systematic Review and Meta-analysis

BackgroundDeprescribing, a relatively recent concept, has been proposed as a promising solution to the growing issues of polypharmacy and use of medications of questionable benefit among older adults. However, little is known about the health outcomes of deprescribing interventions. This study aims to contribute to the knowledge on deprescribing by adressing two specific objectives: 1) describe the impact of deprescribing in adults’ ≥60 years on health outcomes or quality of life; and 2) determine the characteristics of effective interventions in deprescribing.MethodsPrimary studies targeting three concepts (older adults, deprescribing, and health/quality of life outcomes) will be included in the review. The search will be performed using key international databases (MEDLINE, EMBASE, CINAHL, Ageline, PsycInfo) and a special effort will be made to identify grey literature. Two reviewers will independently screen the articles, extract the information and evaluate the quality of the selected studies. If methodologically feasible, meta-analyses will be performed for groups of intervention studies reporting on deprescribing interventions for similar medications, used for similar or identical indications and reporting on similar outcomes (for example benzodiazepines used against insomnia and reporting on quality of sleep or quality of life). Alternatively, results will be presented in bottom-line statements (Objectives 1) and a matrix outlining effective interventions (Objective 2). DiscussionThe knowledge synthesis may be limited by the availability of high-quality, clinical trials on deprescribing and its outcomes in older adults. Additionally, analyses will likely be affected by studies on the deprescribing of different types of molecules within the same indication, e.g. different pharmacological classes and medications to treat hypertension, and different measures of health and quality of life outcomes for the same indication.Systematic Review Registration Number: CRD42015020866
Design of Pre Blasting (Pre-Splitting) in Tan Cang Quarry NO.1 in Vietnam

Nowadays, construction material quarries in Dong Nai Province are exploiting with large quarrying depth, and the annual output could reach to tens of million cubic meters. The blasting frequency could be reached to hundreds of times, so the frequency is the major reason decreasing the cohesion of rock mass. Therefore, the surrounding area of blasting holes is broken, especially the area next to the final border where bench slope angle is not implemented as that of design stage, as well as the back break, also causes fractures on the bench slope, resulting in instability and unsafety due to falling rock. In this paper, the author also wants to introduce the pre blasting and the method to define blasting parameters to increase the stabilization of Slopes in Tan Cang quarry NO.1 in Vietnam.
Prickly Pear-Like Three-Dimensional Porous MoS2: Synthesis, Characterization and Advanced Hydrogen Evolution Reaction

Herein, we hydrothermally synthesize a type of prickly pear-like three-dimensional (3D) porous MoS2 (ZT-MoS2), using a zinc oxide (ZnO) rod deposited on quartz glass substrates, as a template for an advanced hydrogen evolution reaction (HER) catalyst. Microscopic and spectroscopic tools comprehensively characterize the morphology of the ZT-MoS2 nanostructure, which exhibits adequate edge active sites and defects, as well as a high component of active octahedral MoS2 (1T-MoS2). Electrochemical characterizations reveal the good HER performance of the ZT-MoS2 that presents a good overpotential of 110 mV, and a Tafel slope of 63 mV·dec−1, superior to most of the previously reported MoS2-based HER catalysts. This work contributes to the design and fabrication of 3D MoS2 with enhanced HER performance, which holds great promise for fuel cells and energy conversion.
An environmental-friendly electrical discharge machining using different sustainable techniques: a review

ABSTRACT Electrical discharge machining (EDM) is one of the most broadly used non-traditional machining processes. The introduction of the idea of sustainable production and the need to adjust the ISO norms are essential for the assessment of all production methods using the principles of sustainability. The traditional EDM uses kerosene as a dielectric with poor safety and unfriendly environmental consequences. To solve this issue, the substitution of hydrocarbon dielectric is the principal consideration in EDM investigation. This research offers an intensive review of the environment-friendly EDM processes, where the objective is to try dielectric liquids that can be replaced, bypassing traditionally used EDM oil. It is seen that water- and gas-based dielectrics could assume control over synthetic oil in the EDM process. Revolutionary sustainable technologies using water or bio-dielectric have been introduced to rectify sustainability issues and have benefited greatly from the evolution of the EDM operation in terms of efficiency and sustainability. Innovative environmental-friendly EDM processes, which have determined the step of advancement in the field of scientific and mechanical research, are briefly discussed in this article. A blueprint of the forthcoming trends of the research is indicated in the last segment.
Effect of Super-Brain Yoga on the Concentrating Ability of Students

Introduction: Frontal and parietal association areas form the neural basis of concentration as evidenced by cellular studies of posterior parietal cortex in monkeys. Cerebral asymmetry, an evolutionary consequence,enhances brain output by synchronizing both hemispheres for maximal brain output facilitated by Super-brain yoga - a simple,effective technique to energize and recharge the brain, assessed with d2 test measuring attention, scanning and mental flexibility. Aim: To assess the effect of Super-brain yoga on the concentrating ability of students by d2 test. Materials and Method: 184 school children aged 11-13 yrs, physically fit & unaware of Super-brain yoga formed the study population. Methodology: (1) d2 test consisting of: (i) TN: total number of characters (ii) E1: number of characters omitted (iii) E2: the number of errors (iv) CP: concentration performance CP = (TN–E2) was performed before and after Super-brain yoga to assess students concentrating ability. (2) Super brain yoga/yogic squats performed for 1 month. Results: ‘p’ value < 0.05 statistical significance with paired ‘t’ test. Conclusion: Practicing Super-brain yoga for 1 month increased the concentrating ability of students.
Temperature-Enhanced Follicular Penetration of Thermoresponsive Nanogels

Abstract Hair follicles can serve as an effective reservoir for dermal drug delivery upon the topical application of particulate substances. Here, the follicular penetration of an indodicarbocyanine-labelled thermoresponsive nanogel (189 nm) having a cloud point temperature of 34°C and linked via an acid-labile linker to the model drug indocarbocyanine was investigated. In total, 227 hair follicles of porcine ear skin were examined after topical application of the thermoresponsive nanogels at room temperature (21°C), physiological skin surface temperature (32°C) and core body temperature (37°C) for the follicular penetration depths of indodicarbocyanine and indocarbocyanine using confocal laser scanning microscopy. The results showed a significantly increased mean follicular penetration of the carrier to a depth of 298.8±85.8 μm after incubation at 37°C compared to samples incubated at 21°C and 32°C with mean follicular penetration depths of 202.7±81.7 μm and 219.4±52.9 μm, respectively (p<0.001). Possibly structural changes in the thermoresponsive nanogel induced by the increased incubation temperature led to an enhancement of follicular penetration. Therefore, thermoresponsive nanogels may be suitable for the temperature-enhanced penetration into the hair follicles under physiological conditions.
The (im-)moral scientist? Measurement and framing effects shape the association between scientists and immorality

Recent years have not only seen growing public distrust in science, but also in the people conducting science. Yet, attitudes toward scientists remain largely unexplored, and the limited body of literature that exists points to an interesting ambivalence. While survey data suggest scientists to be positively evaluated (e.g., respected and trusted), research has found scientists to be perceived as capable of immoral behavior. We report two experiments aimed at identifying what contributes to this ambivalence through systematic investigations of stereotypical perceptions of scientists. In these studies, we particularly focus on two potential sources of inconsistencies in previous work: divergent operationalizations of morality (measurement effects), and different specifications of the broad group of scientists (framing effects). Results show that scientists are generally perceived as more likely to violate binding as opposed to individualizing moral foundations, and that they deviate from control groups more strongly on the latter. The extent to which different morality measures reflect the differentiation between binding and individualizing moral foundations at least partially accounts for previous contradictory findings. Moreover, the results indicate large variation in perceptions of different types of scientists: people hold more positive attitudes toward university-affiliated scientists as compared to industry-affiliated scientists, with perceptions of the ‘typical scientist’ more closely resembling the latter. Taken together, the findings have important academic ramifications for science skepticism, morality, and stereotyping research as well as valuable practical implications for successful science communication.
Function and Regulation of TRPC1: Contribution to Ca 2+ Entry Activated by Store Depletion

Store-operated calcium entry (SOCE), first described almost two decades ago, is a ubiquitous Ca entry pathway that is activated by the depletion of Ca in the endoplasmic reticulum (ER)-Ca store (Parekh and Penner 1997; Parekh and Putney 2005; Putney 1990). Under physiological conditions, SOCE is activated as a sequel to stimulation of membrane receptors, PIP2 hydrolysis, IP3 generation, and IP3-mediated Ca 2+ release from the endoplasmic reticulum (ER). However, SOCE is activated by depletion of the intracellular Ca store per se rather than by proximal events related to PIP2 hydrolysis. The mechanism that senses the decrease in ER-[Ca] and transmits the signal to activate plasma membrane channels mediating SOCE posed a major challenge to researchers in the field for more than two decades (Parekh and Putney 2005; Putney et al. 2001). In the past, several models were proposed in an attempt to describe this mechanism. (i) Conformational coupling – a close physical association between the PM Ca channel and an ER protein (previously proposed to be IP3R) allows detection and relay of the luminal [Ca] status to the surface membrane. (ii) Secretion coupling – cortical ER is dynamically regulated so that it interacts with PM channels when luminal [Ca] is low. (iii) Channel recruitment – regulated trafficking and fusion of vesicles containing pre-assembled channels, and possibly accessory signaling proteins, with the PM. (iv)Diffusiblemessenger– a diffusibleCa influx factor, generated in response to store depletion, is released into the cytosol to activate the PMCa channel. Another major challenge facing the field was establishing the molecular identity of the channels mediating SOCE. The first store-operated Ca current to be measured was ICRAC, detected in mast cells and T lymphocytes (Parekh and Penner 1997; Prakriya 2009).
"Analytical Model of Pulse Amplification in Erbium Doped Fiber Amplifier "

Doping a part of the optical fiber core by (Er ) ions in presence of external pumping power will lead to form the erbium-doped fiber amplifier (EDFA). The performance of this optical amplifier depends on (the power and the wavelength of the pumping laser, the power and wavelength of the input signal, amplifier length, ion concentration). These parameters will affect the characteristics of EDFA such as amplifier gain, gain saturation, noise figure and output power. However, these characteristics can be determined by solving the EDFA propagation and rate equations. The solution of these equations of two-level laser medium can be done numerically. In this paper, we are proposed a novel method to solve these equations. The reconstructed results are perfectly coincided the well known numerical results. © 2020 Al-Muthanna University. All rights reserved
Integrative Bioinformatics Study Reveals Tangeretin Targets and Molecular Mechanisms Against Metastatic Breast Cancer

Background: Agents that target metastasis are important to improve treatment efficacy in patients with breast cancer. Tangeretin, a citrus flavonoid, exhibits antimetastatic effects on breast cancer cells, but its molecular mechanism remains unclear.Results: Tangeretin targets were retrieved from PubChem, whereas metastatic breast cancer regulatory genes were downloaded from PubMed. In total, 58 genes were identified as potential therapeutic target genes of tangeretin (PTs). Gene ontology analysis with Webgestalt showed that the PTs participate in the biological process of stimulus response, are the cellular components of the nucleus and the membrane, and play molecular roles in enzyme regulation. Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis revealed that the PTs regulate the PI3K/Akt pathway. Genetic alterations for each target gene were MTOR (3%), NOTCH1 (4%), TP53 (42%), MMP9 (4%), NFKB1 (3%), PIK3CA (32%), PTGS2 (15%), and RELA (5%). The Kaplan–Meier plot displayed that patients with low mRNA expression levels of MTOR, TP53, MMP9, NFKB1, PTGS2, and RELA and high expression of PIK3CA had a significantly better prognosis than their counterparts. Further validation of gene expression by using GEPIA revealed that the mRNA expression of MMP9 was significantly lower in breast cancer tissues than in normal tissues, whereas the mRNA expression of PTGS2 showed the opposite. Analysis with ONCOMINE demonstrated that the mRNA expression levels of MMP9 and NFKB1 were significantly higher in metastatic breast cancer cells than in normal tissues. The results of molecular docking analyses revealed the advantage of tangeretin as an inhibitor of PIK3CA, MMP9, PTGS2, and IKK.Conclusion: Tangeretin inhibits metastasis in breast cancer cells by targeting TP53, PTGS2, MMP9, and PIK3CA and regulating the PI3K/Akt signaling pathway. Further investigation is needed to validate the results of this study.
The Importance of Group Specification in Computational Modelling of Behaviour

**published as part of "Machine Learning for Health (ML4H) at NeurIPS 2020: https://arxiv.org/abs/2011.01725**Introduction: Hierarchical model fitting has become commonplace in cognitive neuroscience. However, these techniques require us to formalise assumptions about the data-generating process at the group level, which may not be known. In computational psychiatry, we frequently encounter situations with multiple distinct groups of subjects, which makes this specification non-trivial. Specifically, we must choose whether to assume all subjects are drawn from a common population, or to model them as deriving from separate populations. These assumptions have profound implications for computational psychiatry, as they will undoubtedly affect the resulting inference (parameter recovery) and conflate or mask true group-level differences. Methods: We used simulations to test these assumptions on synthetic multi-group behavioural data from commonly used multi-armed bandit tasks. We first demonstrate the influence of hierarchical vs non hierarchical approaches on parameter recovery. We then examine recovery of group differences in parameter values under different modelling approaches: (1) modelling groups under a common shared group-level prior (assuming all participants are generated from a common distribution, and are likely to share common characteristics); (2) modelling separate groups based on symptomatology or diagnostic labels, resulting in separate group-level priors. We evaluate the robustness of these approaches to variations in data quality and in prior specification.Results: We confirm, firstly, that hierarchical approaches lead to better parameter recovery. Secondly, we argue that fitting groups separately (Model 2) provides the most robust inference across all conditions and perturbations. Thirdly, we confirm these assumptions have less of an impact with higher numbers of trials and subjects. Finally, we show that the advice to fit groups separately can fall down when extreme assumptions are made about group variance.Conclusions: Our results suggest that when dealing with data from multiple clinical groups, researchers should use a hierarchical approach to parameter fitting, but account for hypothesised group differences in the model fitting procedure. In other words, under most normal circumstances, researchers should fit patient and control groups separately.
Strategies to evaluate alginate based bioinks applying extrusion printing for biofabrication

For bioprinting, tailored bioinks combining tissue-like mechanical properties, printability and high biocompatibility are needed. The strategy of this project includes the precise characterization of the synthesis route and material properties, description of the printing process, as well as computing of flow and shear stress profile inside the printing needle. Furthermore, in vitro analyses using lentiviral fluorescent reporter cells were performed, which is a novel method that has so far hardly been used in biofabrication. The evaluation of the hydrogel and printing process for successful biofabrication is a multi-stage process and in our case demonstrated that ADA-GEL is a promising bioink.
Evaluation of grain-average stress tensor in a tensile-deformed Al–Mn polycrystal by high-energy X-ray diffraction

Three-dimensional X-ray diffraction was applied to characterize the strain/stress evolution in individual grains of an Al-0.3 wt% Mn polycrystal deformed in situ at a synchrotron source. Methodological aspects concerning the calibration of the geometrical setup and the evaluation of the strain/stress tensors are discussed. A two-step calibration method separately treating the detector and the rotation axis allows one to determine the centre-of-mass position and crystallographic orientation of grains with standard errors of about 1.5 mm and 0.02 degrees, respectively. Numerical simulations indicate that the error of normal strain components (about 1 x 10(-4)) is mainly caused by calibration errors, while the error of shear components (about 0.5 x 10(-4)) is largely influenced by counting statistics and random spot-centre errors due to detector distortion. The importance of monitoring the beam energy is emphasized.
Intraspecific variation in behaviour and ecology in a territorial agamid, Ctenophorus fionni

Intraspecific variation as a way to explore factors affecting the evolution of species traits in natural environments is well documented, and also important in the context of preserving biodiversity. In this study, we investigated the extent of behavioural, morphological and ecological variation in the peninsula dragon (Ctenophorus fionni), an endemic Australian agamid that displays extensive variation in colour across three allopatric populations. The aims of the study were to quantify variation across the different populations in terms of the environment, morphometric characteristics and behaviour. We found population level differences in habitat structure and encounter rates. Adult body size of C. fionni, as well as a range of morphometric traits, differed between populations, as well as the frequency of social interactions, which appears to be related to population density and abundance. Analysis of communicative signals showed differences between the southern and central populations, which appear consistent with variations in response to environmental differences between study sites. The findings of the present study, coupled with previous work examining colour variation in this species, show that the three populations of C. fionni have likely undergone substantial differentiation, and would make an interesting study system to explore trait variation in more detail.
Evaluative Conditioning without awareness: Replicable effects do not equate replicable inferences

Moran et al.’s (2020) primary analysis successfully replicated the surveillance task effect obtained by Olson and Fazio (2001). This effect is often treated as evidence for attitude formation in the absence of awareness. However, such an inference requires that ‘aware’ participants are successfully excluded from consideration. We present evidence that the awareness exclusion criterion used by Olson and Fazio (2001) – the only one to produce a significant effect in the replication – is a poor measure of awareness: it is overly lax, noisy, and demonstrates heterogeneity between sites. A new meta-analysis of the RRR data using a stricter compound awareness exclusion criterion that prioritized sensitivity (N = 665) demonstrated a non-significant and near-zero effect size (Hedges’ g = 0.00, p = .983). A Bayes Factor analysis demonstrated strong evidence for the null hypothesis (BF10 = 0.04). When subjected to a more severe test, Moran et al.’s (2020) data does not support the ‘unaware Evaluative Conditioning’ hypothesis. Results serve to highlight the importance of distinguishing between a replicable statistical effect and a replicable inference regarding a verbal hypothesis. All data and code available at osf.io/ugrjh.
An Efficient (t,n) Threshold Secret Image Sharing Scheme Based on Thien-Lin Secret Image Sharing

In a (t, n) threshold secret image sharing scheme (TSIS), a secret image is first encoded into n pieces, normally referred as shares or shadow images. Those share-images can be stored or transferred safely as individually a share-image cannot reveal any detail about the secret image. The receiver or user of the share-images referred as participants. If at least t(≤n) share-images are submitted by the participants, the secret image can be recomputed. One of the most popular secret image sharing schemes was proposed by Thien-Lin (2002). The authors had proposed two versions of the scheme. The first version of SIS by Thien-Lin is efficient, but lossy as the pixel values more than 250 (< 256) are truncated to 250. The second one is lossless, but it increases the size of the secret image during preprocessing. In this paper, we propose a secret image sharing scheme based on Thien-Lin scheme. We consider a little loss in the reconstructed image which is maximum one per pixel (the loss can be one to five in Thien-Lin scheme) and keep the size of the secret image same. Although buffer pixels may be added for the sake of programming, after reconstruction of the secret image the buffer pixels are easily identifiable and can be safely removed.