Miracle-dz/UniFAR-FTUs huggingface dataset:
Lipopolysaccharide Responsive Beige-Like Anchor Subcellular Localization Involving in Vesicle Trafficking Responsive to Lipopolysaccharide

Lipopolysaccharide (LPS) responsive Beige-like Anchor (LRBA) gene is an important novel immune regulator, mutations of which cause common variable immunodeficiency, autoimmunity and inflammation. The underlying subcellular mechanism is unknown. Studies on LRBA subcellular localization and involvement in the dynamic vesicle trafficking may help to decipher its function of causing immune disorders. The present immune fluorescence confocal microscopy results show that LRBA is co-localized with Golgi proteins (GM-130, P-230 and GS-28), early endosome proteins [Early Endosome Antigen 1(EEA1), CLATHRIN, RAB4 and ADAPTIN- β ], PKA subunits (RII α , RII β and RIIC), and the microtubule protein, tubulin. Time lapse videos of live cells show LRBA-positive vesicles respond to LPS, which also stimulates LRBA nucleic translocation. This study demonstrates that LRBA is associated with the Golgi complex, endosomes, plasma membrane, nucleus, pseudopodia and microtubules, and vesicles. It suggests that LRBA plays anessential role in vesicle trafficking and signal transduction essential for normal immune response, especially against LPS-containing bacteria. symptom onset is three years, earlier than the mean age of 26.3 years for most CVID [11,13-15]. In addition to immunological disorders, LRBA-deficient patients have an array of other medical problems which include: retarded growth, failure to thrive, growth hormone deficiency, asthma, monoarthritis, seizure disorders, granulomatous infiltration, finger clubbing, hepatosplenomegaly, allergic dermatitis, and nephrotic syndrome [11, 13,15]. These results demonstrate that LRBA is a unique CVID gene and plays a fundamental role in the immune system. these progresses, the exact subcellular and molecular mechanism of LRBA’s causing immune disorders remains unknown It is generally accepted that the subcellular location is closely related to physiological function of a protein and thus crucial to understanding its role in biological processes LRBA is implied as a vesicle trafficking regulator It is now realized that vesicle trafficking is crucial in transducing signals between cellular locations, as simple diffusion has a limited role in intracellular transport of signaling complexes [18]. About one-third of human proteins are delivered to the secretory and endocytic pathways through vesicle trafficking [19]. These proteins, to name a few, include proinflammatory cytokines, TNFα, IL-1 and IL-6, and their cellular receptors. Moreover, the Golgi Complex (GC) is viewed as the “headquarters” for signal transduction and cell-fate decisions, in addition to its “post office role” of cargo sorting/processing polyclonal and organelle-specific used in to detect the endogenous proteins study their co-localizations confocal imaging a comprehensive toolbox for subcellular colocalization analysis a variety of cell-lines/primary cells. statistic colocalization full length partial GFP the subcellular localization in response to LPS LPS proteins,
THE RELATIONSHIP BETWEEN THE TREATMENT OF WEALTH AND SUB-FERTILITY WITH THE PERCEPTION, CONSIDERATION AND FORMAL CAPABILITIES OF POSTERITY IN CHILDREN

: Objective: To study the relationship between treatment of wealth and sub-fertility with the perception, consideration and formal capabilities of posterity in unmarried 5 year old children. Populace: A companion of 1788 inspected children from Danish national birth cohort. Techniques: The offspring were verified through the neuropsychological battery at the age of 5 years. Our research was conducted at Jinnah Hospital, Lahore from March 2017 to February 2019. Despite the testing of formal knowledge, consideration and ability, the following data were retained for significant covariates. Surveys were conducted using a variety of straight and balanced relapses for parental education, maternal insight, age, equality, weight list, smoking during pregnancy, alcohol use during pregnancy, and sex of youth, age of children, and inspector. Measure the revised Wechsler Preschool and Primary Wechsler Intelligence Scale, the Daily Attention Test for five-year-olds, and the Behavioral Assessment Executive Functioning Inventory scores. Results: A reliable example of non-lower overall scores was observed for insight and formal abilities in children delivered after maturation treatment or by sub productive guardians when scores were not adjusted for maternal knowledge and parental education. At the point where these and individual covariates were balanced, there were no critical mean contrasts in knowledge (average alteration - 3.9, 96% CI - 7.9, 2.3), general consideration (- 0.2, 96% CI - 0.7, 0.4) or formal abilities assessed by parents (- 0.2, 96% CI - 4.1, 2.8) between children born after a non-constrained start and those born to imaginative guardians after a wealthy treatment. Thus, here was no critical average contrast in perception (mean difference 0.7, 96% CI - 2.3, 3.5), general consideration (0.1, 95% CI - 0.2, 0.4) or formal abilities assessed by parents (2.0, 96% CI - 1.9, 3.8) between children born after a period of unconstrained initiation and youth destined for immature guardians who wait more than a year to imagine normally. Conclusion: This survey proposes that the treatment of sub-fertility and parental fertility be disconnected from the official perception, consideration and capacities of posterity.
Initial Framework for Resilience Assessment

© 2016-2019 This document and its content are the property of the SmartResilience Consortium. All rights relevant to this document are determined by the applicable laws. Access to this document does not grant any right or license on the document or its contents. This document or its contents are not to be used or treated in any manner inconsistent with the rights or interests of the SmartResilience Consortium or the Partners detriment and are not to be disclosed externally without prior written consent from the SmartResilience Partners. Each SmartResilience Partner may use this document in conformity with the SmartResilience Consortium Grant Agreement provisions. The research leading to these results has received funding from the European Union’s Horizon 2020 Research and Innovation Programme, under the Grant Agreement No 700621. The views and opinions in this document are solely those of the authors and contributors, not those of the European Commission. Initial Framework for Resilience Assessment
Panel on Animal Health and Welfare (2015). Survival, spread and establishment of the small hive beetle (Aethina tumida). EFSA

The small hive beetle (SHB) is still present in Calabria one year after its first detection in September 2014. Detailed epidemiological studies would improve our knowledge of the survival, spread and establishment of the pest. Movement of an infested hive could spread SHB rapidly over large distances. Modelling of SHB spread in absence of movement of hives, suggests that natural spread of the beetle alone will take more than hundred years to reach Abruzzo from Calabria (around 250 km). A model considering the ownership of multiple apiaries per beekeeper indicates that spread would be 10 times faster. Opportunity maps indicate that, once introduced, the SHB could complete its life cycle in all EU Member States between May and September. It is recommended that restrictions on the movement of honey bees, bumblebees and commodities from infested to non-infested areas be maintained until SHB is eradicated, to prevent spread of the pest. Strengthening visual inspection, preventing infestation using a fine mesh and issuing a health certificate for intra-EU trade of queen bees, within 24 hours before dispatch, could reduce the risk of SHB transmission via consignments. In general, visual inspection of the beehive, as described in this document, is the preferred method of detecting SHB. Traps could help to detect and reduce SHB infestation levels. Maintaining good honey house hygiene and good beekeeping practices are the most important measures to control SHB where eradication is no longer the objective, given that no approved veterinary medicine is available in the EU. A field experiment found natural infestation of commercial bumblebee (Bombus impatiens) colonies placed next to SHB-infested honey bee hives. However, there are no data published on SHB infestation in natural bumblebee colonies. Studies are needed of the capacity of B. terrestris, occurring in Europe, to act as a SHB host. © European Food Safety Authority, 2015
Integration of Open Educational Resources Through Linked Data: Integration of Open Educational Resources Through Linked Data: Challenges and Benefits Review Challenges and Benefits Review

Purpose of the Study: This study explores that how Linked Data (LD) technology can be implemented in educational sector to use Open Educational Resources (OERs) more effectively or what kind of benefits and challenges it retains for educational sector. Because now teaching is supported and integrated with the use of different interactive resources such as videos, blackboards and virtually available platforms in formal and informal education. The objective of this research study is to highlight the nature of LD and OERs and their associated benefits and barriers for educational sector that are related to the adoption of LD technologies in OERs. Research Methodology: This paper is based on literature research methodology. It reviews national and international literature about the integration of OERs through LD technologies. Literature published after 2012 to till date was critically analysed to be included in the study. Research Findings: The integration of OERs by using the LD is getting popularity in educational sector like other fields. It retains benefits not only for students but also for teachers too. The challenges of interoperability and standardization exists but these can be overcome by adopting principles at the beginning. Locally some projects are also initiated in Pakistan though these are in their infancy stage such as elearn and elibrary Punjab.
Assessment of Cosmic Background Attenuation at Building 3425 (Underground Laboratory)

Specifications for the Underground Facility (building 3425) in the Radiation Detection and Nuclear Sciences complex presently under construction at Pacific Northwest National Laboratory mandate a 30 meters water equivalent shielding for cosmic background attenuation at the 30-foot underground depth of the laboratory. A set thickness of a specified fill material was determined; however a smaller thickness of a higher density material was used for the earthen bunker. Questions arose as to whether this altered configuration met the required shielding specifications. A series of measurements were made to address this concern using a 4”x4”x16” NaI(Tl) detector (Scionix Holland, 3.5N-E2-X). Cosmic ray data were taken at the surface, and at several locations within the underground facility in order to obtain an experimental value for the attenuation of the cosmic radiation. This experimental result was compared with the contracted attenuation.
Fine Mapping and Identi cation of the Lobed-Leaf Gene in Radish (Raphanus Sativus L.)

xuewei li Huazhong Agricultural University: National Key Laboratory of Crop Genetic Improvement https://orcid.org/0000-0003-3197-7634 Chaocheng Guo Huazhong Agricultural University: National Key Laboratory of Crop Genetic Improvement Yao Song Huazhong Agricultural University: National Key Laboratory of Crop Genetic Improvement Xiaokang Zhang Hubei laifuzi Technology Co., Ltd Qiufang Xiong Wuhan Academy of Agricultural Science: The Institute of Vegetables Kede Liu (  kdliu@mail.hzau.edu.cn ) Huazhong Agricultural University: National Key Laboratory of Crop Genetic Improvement
Neutralino Dark Matter from Indirect Detection Revisited Neutralino Dark Matter from Indirect Detection Revisited

: We revisit indirect detection possibilities for neutralino dark matter, emphasizing the complementary roles of diﬀerent approaches. While thermally produced dark matter often requires large astrophysical ”boost factors” to observe antimatter signals, the physically motivated alternative of non-thermal dark matter can naturally provide interesting signals, for example from light wino or higgsino dark matter. After a brief review of cosmic ray propagation, we discuss signals for positrons, antiprotons, synchrotron radiation and gamma rays from wino annihilation in the galactic halo, and examine their phenomenology. For pure wino dark matter relevant to the LHC, PAMELA and GLAST should report signals.
Development of a High-Resolution Nested Air Pollution Model: The Numerical Approach

Abstract A new 3-D model REGINA (REGIonal high resolutioN Air pollution model) is under development at the National Environmental Research Institute (NERI). The model is based on models developed over the past decades at NERI. The goal is to obtain a nested model capable of high-resolution operation. To reach this goal it is necessary to implement sufficiently accurate numerical methods. The model will be applied to studying air pollution phenomena (monitoring, forecasting, and scenarios) over Denmark. In the present paper, the outline of the new model is presented. The numerical methods for transport and chemistry are described. The horizontal transport in the model is solved using an accurate space derivatives algorithm. This method traditionally requires periodic boundary conditions, which are not applicable for nested modeling. Therefore a new method for calculating nonperiodic boundary conditions has been developed. The numerical solution to the chemistry part of the model is obtained from an implementation of a new combination of two existing numerical methods. The results from extensive testing of the numerical solution of the advection and the coupling of the solution of advection and chemistry in the model using Molenkamp–Crowley rotation tests are presented. The same tests have been applied to the model with and without nesting. The results show that the numerical methods are suitable for modeling air pollution levels at high resolution.
Modelling Protein Structure Using Discrete Backbone Torsion Angles

Since the first attempts at modelling proteins, a large variety of simplified approximations have been used to reduce the computational complexity associated with an all-atom unconstrained model. One simplification is to restrict the allowable backbone torsion angles to a discrete subset of predetermined values in an effort to reduce the conformational space available to the molecule. Discrete-backbone models can be classified as on-lattice where the allowable conformations can be placed onto a grid in Cartesian space, or off-lattice whereby the only constraint imposed is that backbone torsion angles must come from a discrete set. The advantage of off-lattice models is that they can approximate real structures with a relatively small number of representative torsion angles. This work presents an analysis of the accuracy of an off-lattice model whereby the conformation of each standard amino acid (and amino acids preceding proline) is approximated by its own set of discrete φ and ψ angles. To select which angles are included in the discrete set, the problem is considered an instance of the more general k-means clustering problem. In k-means clustering, a set of representative points must be computed for a data set such that the distance from each point in the data set to its nearest representative is minimal. To elicit the relationship between the complexity of a model and its accuracy, the structures of real proteins are approximated using a varying number of representative angles for each residue. Discrete approximations are constructed using two algorithms, one which aims to preserve local similarity and another which aims to maintain the overall conformation. Discrete structures are compared to native structures using local measures of similarity such as deviation in torsion angles, as well as global measures including average distance between corresponding atoms when the real and discrete structures are superimposed. Additionally, the effect of using a single set of representative angles for all residue types versus a set of angles for each residue is investigated. In order to identify protein segments which are not being approximated well with a discrete representation, an empirical energy function is derived from the distribution of torsion angles in a database of known structures. The energy function is based on the law of Boltzmann which relates the probability of a system being in a particular state with
Impact Of Instagram Content On The Emotional Engagement Of Gen Z

This article study the role of content and emotion of Instagram posts that most capture the followers' attention, focusing especially on the Gen Z in Malaysia. Gen Z makes up to 26% of Malaysia’s population and has unique characteristics that set them apart from the Millennials and Baby Boomers, particularly in the way they consume content and relate to brands. The analysis done contributes to advance the existing feed type in Instagram content by examining the users’ engagement on video content virility of entertainment and breaking news feed among Gen Z. Instagram insights is used to extract data on the actual behavior of the “Kini Viral” page, which has 334000 followers. Two interaction metrics involved in this study which are likes and shares. Analysis done using Matlab shown that overall, Gen Z is more triggered by the entertainment content rather than the breaking news content. The followers tend to “like” the content posted, but not necessarily share the posts.
Image quality and activity optimization in oncological 18 F ‐ FDG PET using the digital Biograph Vision PET/CT

The first Siemens Biograph Vision PET/CT system (Siemens Healthineers, Knoxville, USA) was installed at the University Medical Center Groningen. Improved performance of this system could allow for a reduction in activity administration and/or scan duration. This study evaluates the effects of reduced scan duration in oncological 18 F ‐ FDG PET imaging on quantitative and subjective imaging parameters and its influence on clinical image reading. Methods: Patients referred for a clinical PET/CT scan were enrolled in this study, received a weight ‐ based 18 F ‐ FDG injected activity, and underwent a 180 seconds per bed position (s/bp) list ‐ mode PET acquisition. Acquired PET data were reconstructed using the clinically vendor recommended reconstruction protocol (hereinafter referred to as Clinical), using the Clinical protocol with additional 2 mm Gaussian filtering (hereinafter referred to as Clinical+G2) as well as conform European Association of Nuclear Medicine Research Ltd (EARL) specifications using different scan durations per bed position (180, 120, 60, 30, and 10 s). Reconstructed images were quantitatively assessed for comparison of standardized uptake values (SUVs) and noise. In addition, Clinically reconstructed images were qualitatively evaluated by three nuclear medicine physicians. Results: In total, 30 oncological patients (22 men, 8 women; age 48 ‐ 88, mean ± SD 67 ± 9.6 years) received a single weight ‐ based (3 MBq/kg) 18 F ‐ FDG injected activity (weight 45 ‐ 123 kg, mean ± SD 81 ± 15; activity 135 ‐ 380 MBq, mean ± SD 241 ± 46.5). Significant differences in lesion SUVmax were found between the 180 s/bp images and the 30 and 10 s/bp images reconstructed using the Clinical protocols, whereas no differences were found in lesion SUVpeak. EARL compliant images did not show differences in lesion SUVmax or SUVpeak between scan durations. Quantitative parameters showed minimal deviation ( ~ 5%) in the 60 s/bp images. Further subjective image quality assessment was therefore conducted using the 60 s/bp images. Qualitative assessment revealed the influence of personal preference on physicians’ willingness to adopt the 60 s/bp images in clinical practice. Although quantitative PET parameters differed minimally, an increase in noise was observed. Conclusions: Using the Biograph Vision PET/CT for oncological 18 F ‐ FDG imaging, scan duration and/or activity administration could be reduced by a factor of three or more when using the Clinical+G2 or the EARL compliant reconstruction protocol, respectively. imaging on quantitative and subjective imaging parameters and its influence on clinical image reading was evaluated in this study. the diamonds represent extreme outliers. ٭ and ٭٭ indicate a significant difference of P < 0.05 and P < 0.001 between scan durations, respectively.
SHiMMer: Privacy-Aware Alignment of Genomic Sequences with Secure and Efficient Hidden Markov Model Evaluation

As the cost of DNA sequencing is decreasing, personal genomic data is becoming more abundant. Genomic data is known to be very identifying; even a few genetic mutations can identify an individual. Therefore, leakage of genetic information and the associated metadata create privacy risks. While these risks are well-known, most of the basic methods are not privacy-aware. One of these fundamental methods is the Hidden Markov Models (HMMs), which are especially important for comparative genomics because genetic data are sequential in nature, e.g., DNA/RNA nucleotides sequences and protein residues. HMMs are used mainly for comparing and aligning DNA/RNA and protein sequences, such as viral genomes or gene sequences, whereby similar portions of sequences are identified and they are defined to be conserved throughout evolution, whereas non-matching portions of the sequences indicate a divergence. HMM-based inference of sequence alignment is therefore a vital component of sequence analysis. Here, we describe SHiMMer, Secure HMM evaluation method that can guarantee cryptographic security while HMMs are used for sequence comparison. We used simulated data for alignment of genomic sequences to demonstrate that SHiMMer can perform sequence alignment efficiently. We present the scaling of time/memory requirements with increasing numbers of alignment states and lengths of sequences.
A Code Offloading Framework for Mobile Cloud Computing: ICEMobile

— Smartphones have become a crucial part of our life with their high performance data processing features and ability to access information from anywhere at any time. However, they tend to become inadequate to meet computation intensive operations with their limited battery life and processing capabilities. Mobile cloud computing may be a solution, but Wide Area Network (WAN) latencies and unstable response times of cloud services negatively affect user experiences. In this paper, the cloudlet approach, which offers the cloud services with Local Area Network (LAN) bandwidth, is presented as a possible solution to this problem. A framework, called ICEMobile, is introduced that brings the computation offloading capability to mobile applications. The aim of the ICEMobile framework is to direct application developers in determining which methods need to be offloaded in order to save energy during the mobile execution. The applicability and efficiency of the framework and related optimization model are shown via real life scenarios. The test results reveal that it is possible to save energy up to 98% on the mobile device by using the proposed framework.
Vehicle detection in trafﬁc videos using unsupervised SVM classiﬁers and local pattern descriptors

—The problem of extracting the foreground in a video sequence is often resolved with solutions based on background substraction. Their performance depends on the reliability of the background model that they try to maintain during the video. In trafﬁc surveillance videos, especially with a narrow ﬁeld of view, these methods will often yield unreliable results. We propose a different approach, based on one-class classiﬁers trained on small regions of the image to recognize the background, using different edge and pattern descriptors. We discuss the advantages and drawbacks of this method, and present some preliminary results on different test sequences, comparing our method and standard Mixture-of-Gaussian approaches.