Miracle-dz/UniFAR-FTUs huggingface dataset:
Alpha‐kinase 1 (ALPK1) agonist DF‐006 demonstrates potent efficacy in mouse and primary human hepatocyte (PHH) models of hepatitis B

Background and Aims: In the treatment of chronic hepatitis B (CHB) infection, stimulation of innate immunity may lead to hepatitis B virus (HBV) cure. Alpha‐kinase 1 (ALPK1) is a pattern recognition receptor (PRR) that activates the NF‐κB pathway and stimulates innate immunity. Here we characterized the preclinical anti‐HBV efficacy of DF‐006, an orally active agonist of ALPK1 currently in clinical development for CHB. Approach and Results: In adeno‐associated virus (AAV)‐HBV mouse models and primary human hepatocytes (PHHs) infected with HBV, we evaluated the antiviral efficacy of DF‐006. In the mouse models, DF‐006 rapidly reduced serum HBV DNA, hepatitis B surface antigen, and hepatitis B e antigen levels using doses as low as 0.08 μg/kg, 1 μg/kg, and 5 μg/kg, respectively. DF‐006 in combination with the HBV nucleoside reverse transcriptase inhibitor, entecavir, further reduced HBV DNA. Antiviral efficacy in mice was associated with an increase in immune cell infiltration and decrease of hepatitis B core antigen, encapsidated pregenomic RNA, and covalently closed circular DNA in liver. At subnanomolar concentrations, DF‐006 also showed anti‐HBV efficacy in PHH with significant reductions of HBV DNA. Following dosing with DF‐006, there was upregulation of NF‐κB‐targeted genes that are involved in innate immunity. Conclusion: DF‐006 was efficacious in mouse and PHH models of HBV without any indications of overt toxicity. In mice, DF‐006 localized primarily to the liver where it potently activated innate immunity. The transcriptional response in mouse liver provides insights into mechanisms that mediate anti‐HBV efficacy by DF‐006.
Sialic acids on B cells are crucial for their survival and provide protection against apoptosis

Significance Sialic acids are carbohydrates attached to membrane glycoproteins or membrane glycolipids as so-called sialoglycans. These sialoglycans on immune cells have been implicated in cell signaling and cell migration. This study shows that protection of B cells against programmed cell death is an additional function of sialoglycans. Mice without sialoglycans on B cells exhibit a severe B cell deficiency.
Selective control of vortex polarities by microwave field in two robustly synchronized spin-torque nano-oscillators

Manipulating operation states of coupled spin-torque nano-oscillators (STNOs), including their synchronization, is essential for applications such as complex oscillator networks. In this work, we experimentally demonstrate selective control of two coupled vortex STNOs through microwave-assisted switching of their vortex core polarities. First, the two oscillators are shown to synchronize due to the dipolar interaction in a broad frequency range tuned by an external biasing field. Coherent output is demonstrated along with strong linewidth reduction. Then, we show individual vortex polarity control of each oscillator, which leads to synchronization/desynchronization due to accompanied frequency shift. Our methods can be easily extended to multiple-element coupled oscillator networks.
Host protease activity classifies pneumonia etiology

Significance Community-acquired pneumonia (CAP) is the most common infectious cause of death worldwide. In this work, we present a panel of protease-responsive nanosensors that leverage aberrant host protease activity in pneumonia to generate a urinary readout of disease. Notably, the urine signatures of host responses can also be used to differentiate between bacterial and viral pneumonia. These nanosensors constitute a possible route to diagnosing pneumonia that is orthogonal to existing clinical tests, thus opening a direction of study for pneumonia diagnostics.
Current Trends in Occupational Therapy for Adolescent and Young Adult Cancer Survivors: A Scoping Review

Abstract Adolescent and young adult cancer survivors experience barriers to occupational participation following cancer treatment. This article aims to identify the scope of occupational therapy evidence for adolescent and young adult cancer survivors. A scoping review of articles cited in CINAHL Complete, MEDLINE (EBSCO), Academic Search Complete, APA PsycINFO, and PubMed was performed. The initial search yielded 391 articles, with eight publications included in the final review. Results revealed a significant lack of age-specific occupational therapy-based resources for adolescent and young adult cancer survivors. Evidence supports the use of self-management, physical activity, therapeutic exercise, activities of daily living training and adaptation, and app-based coaching to improve client outcomes. Further research is required to determine the effectiveness of occupational therapy services, as well as to establish evidence-based guidelines for practice.
Sarcopenia as potential biological substrate of long COVID‐19 syndrome: prevalence, clinical features, and risk factors

Severe clinical pictures and sequelae of COVID‐19 disease are immune mediated and characterized by a ‘cytokine storm’. Skeletal muscle has emerged as a potent regulator of immune system function. The aim of the present study is to define the prevalence of sarcopenia among COVID‐19 survivors and the negative impact of sarcopenia on the post‐acute COVID‐19 syndrome and its related risk factors.
Augmentative and Alternative Communication in the Classroom: Teacher Practices and Experiences.

PURPOSE This study explored the practices and experiences of teachers who teach students using augmentative and alternative communication (AAC), more specifically, speech-generating devices (SGDs). METHOD Nine teachers (one general education, eight special education) from four countries participated in semistructured interviews. A generic qualitative approach was taken to inductively code interview transcripts and establish descriptive themes. RESULTS Three themes emerged from the data. The teaching experience theme captured teachers' feelings, role, collaboration with others, knowledge and learning around AAC, and challenges teaching students who use SGDs. The teaching practices theme included curricula that teachers use, instructional planning, materials and adaptations, instructional strategies, and methods for student evaluation and progress monitoring. Finally, the overarching views and practices theme captured teachers' beliefs and interpretation of the educational system for students using SGDs, as well as teachers' overarching views on communication and approach to AAC implementation. CONCLUSIONS In sharing their perspectives and practices, teachers highlighted a number of constructs that speech-language pathologists could consider when responding to and supporting teacher and student needs. The findings of this study have implications for facilitating collaborative relationships and supporting the use of AAC in schools. Discussion on how educational placement can influence teacher experiences and student outcomes is also integrated into the context of this study.
NSS_A_253375 357..364

Nazish Rafique 1 Lubna Ibrahim Al-Asoom 1 AhmedAbdulrahmanAlsunni 1 Farhat Nadeem Saudagar Latifah Almulhim Gaeda Alkaltham 1Department of Physiology, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia; 2College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia Purpose: The objective of this study was to find out the association between mobile use and physiological parameters of poor sleep quality. It also aimed to find out the prevalence of mobile-related sleep risk factors (MRSRF) and their effects on sleep in mobile users. Materials and Methods: This cross-sectional study was conducted on 1925 students (aged 17–23yrs) from multiple Colleges of Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia. The study tools used were Pittsburgh sleep quality index (PSQI) and MRSRF online questionnaires. Results: The mean age (±SD) of participants was 19.91 ± 2.55 years. Average mobile screen usage time was 8.57±4.59/24 hours, whereas average mobile screen usage time in the bed after the lights have been turned off was 38.17±11.7 minutes. Only 19.7% of subjects used airplane mode, while 70% kept the mobile near the pillow while sleeping. The blue light filter feature was used by only 4.2% of the participants. “Screen usage time of ≥8 hours” was positively correlated with sleep disturbances and decrease in the length of actual sleeping time (p =0.023 and 0.022). “Using the mobile for at least 30 minutes (without blue light filter) after the lights have been turned off” showed positive correlation with poor sleep quality, daytime sleepiness, sleep disturbances and increased sleep latency (p= 0.003, 0.004 and 0.001). “Keeping the mobile near the pillow while sleeping” was also positively correlated with daytime sleepiness, sleep disturbances and increased sleep latency (p =0.003, 0.004 and 0.001). Conclusion: This study concludes that using mobile screen ≥8 hours/24 hours, using the mobile for at least 30 minutes before sleeping after the lights have been turned off and keeping the mobile near the pillow are positively associated with poor sleep quality. Moreover, we observed that MRSRF were highly prevalent amongst the mobile users.
Ecosystem for Engineering Design Learning: A Comparative Analysis

Design is a human activity that encompasses a broad array of tasks. In engineering design, individual efforts can beaggregated into teams to maximize collective progress. Effective teamwork, however, requires extensive management,organization and communication. Furthermore, modern challenges encompass complicated multi-disciplinary problemswith faster schedules, fewer resources, and greater demands. Design, as a process, can be dissected into characteristicphases. Within each phase, design solutions are gradually developed. Technological tools have prioritized the structuredanalyses of the detailed and final design phases and have proven to be powerful multipliers for effective design efforts. It haslong been the case, however, that major commitments of intangible resources are made as a result of efforts in the lessemphasizedearlierphases. These commitments and lack of modern toolsets for requirement development and conceptualdesign activities materialize as major sources of design pitfalls, both in industry and on student design projects. This paperpresents a digital Ecosystem for Engineering Design Learning as a comprehensive, yet flexible, framework for capstonedesign teams. The digital Ecosystem has been developed as a feasible technology to bolster student informationmanagement, teamwork, communication, and proficiency in fundamental design principles, and as a technology capableof alleviating rework and process-related productivity interruptions. Its primary innovation, for capstone applications, isthe ability to assess design work automatically against the design process, as well as against ABET compliant learningobjectives, and provide prompt advisories in case of design oversights. The digital Ecosystem is compared to tools forproject management, team communication, and requirement management.
On-board visual navigation system for unmanned aerial vehicles autonomous aerial refueling

In this paper, an on-board binocular visual navigation system based on unmanned aerial vehicles platform is designed for autonomous aerial refueling. The hardware configuration of the entire platform is introduced. Vision algorithms including target tracking, feature extraction, and pose estimation are employed for measuring the relation between two unmanned aerial vehicles. Two situations are considered under long and short distances to make this procedure flexible. Four pose estimation algorithms are implemented and compared in this research. A series of experiments are conducted to verify the feasibility and effectiveness of aerial refueling on the unmanned aerial vehicle platform.
Role of 5P-TGN-3P motif in the interaction of mycobacterial RNA polymerase with a promoter of ‘extended 310’ class

In a systematic approach to understand the transcriptional machinery of mycobacteria, we had previously isolated and characterized mycobacterial promoter regions. In this study, we have investigated molecular interactions between mycobacterial RNA polymerase holoenzyme, reconstituted with different sigma subunits and the promoter element of the Mycobacterium tuberculosis gene pknH (Rv1266c), a representative of promoters belonging to the ‘extended 310’ class. In vitro transcription assays using the pknH promoter and reconstituted RNA polymerase holoenzyme demonstrated that transcription from the pknH promoter is specifically initiated by cA, the principal sigma factor of mycobacteria. DNase I protection assay and deletion studies with the pknH promoter revealed that the minimal region required for optimal transcription carries the sequence from position 337 to position +6. Moreover, mutation in the TGN motif of the pknH promoter resulted in the loss of s 75% of its activity. Binding of RNA polymerase with wild-type promoter as well as its TG mutant revealed that the TGN motif is required for the transition from a close complex into an open complex. Further, it was observed that the presence of the TGN motif reduces the thermal energy required for the conversion of a close complex into an open complex, necessary for initiation of transcription. 8 2003 Federation of European Microbiological Societies. Published by Elsevier Science B.V. All rights reserved.
A quantified discrimination of a query compound between target classes under 3 D-2 similarity metric 3 4

1 Background: 3D similarity is useful to predict the profiles of unprecedented molecular 2 frameworks, 2D dissimilar to known compounds. Basically, when comparing compound pairs, 3 3D similarity of the pairs depends on conformational sampling of compounds, alignment 4 method, chosen descriptors, and metric to show limited discriminative power. In addition to 5 four factors, 3D chemocentric target prediction of an unknown compound requires compound 6 target associations. The associations for the target prediction replace compound-to-compound 7 comparison with compound-to-target comparison. 8 Results: Quantitative comparison of query compounds to target classes (one-to-group) could 9 be acquired using two type similarity distributions: one is from maximum likelihood (ML) 10 estimation of queries and another is from Gaussian mixture model (GMM) of target classes. 11 While Jaccard-Tanimoto similarity of query-to-ligand pairs could be transformed into query 12 distribution through ML estimation, the similarity of ligand pairs within each target class could 13 be transformed into the representative distribution of a target class through GMM, 14 hyperparameterized through expectation-maximization (EM) algorithm. To quantify the 15 discriminativeness of a query ligand against target classes, Kullback-Leibler (K-L) divergence 16 was calculated between two distributions. 17 Conclusions: Stratified sampled 14K ligands from four target classes, estrogen receptor alpha 18 (ESR), vitamin D receptor (VDR), cyclooxygenase-2 (COX2), and cathepsin D (CTSD) 19 presented whether or not each query can be a representative ligand of each target through 20 compared K-L divergence value. The feasibility index, Fm and the probability, P(ν(lm) = i) 21 from K-L divergence could summarize 3D chemocentric relationship between target classes. 22
Biotechnology Frontier

Taxol (Paclitaxel) is a diterpene from Taxus species and has been used in treatment of various kinds of cancers. Geranylgeranyl diphosphate synthase (GGPPS) catalyzes the formation of geranylgeranyl diphosphate (GGPP, the common precursor for diterpenes and plays a key role in taxol biosynthesis. Here we report a functional GGPPS gene from Taxus chinensis (designated TcGGPPS). TcGGPPS is an intron free gene and has a 1,182-bp open reading frame encoding a polypeptide of 393 amino acid residues with a calculated molecular mass of 42.63 kDa and an isoelectric point of 5.58. The catalytic activity of TcGGPPS for production of GGPP was verified by a color enhancement assay in the Escherichia coli cells harboring plasmid pAC-BETA. Multiple sequence alignment indicates that TcGGPPS is a little different in sequence from the functional GGPPS genes from other Taxus species such as T. canadensis, T. media and T. wallichiana, which are almost identical to each other. Protein structure prediction by using bioinformatics reveals that TcGGPPS consists of 52.2% α-helix, 10.9% extended strand, 8.4% β-turn and 28.5% random coil, and has a three-dimensional structure highly similar to the structurally known Sinapis alba GGPPS. In silicon predictions also demonstrate that TcGGPPS has a plastid-targeting peptide at the N-terminus, suggesting it is responsible for the synthesis of GGPP
A Sport has a Sword of Peace, can Change the World

Motivation is ann important element influencing learning and achievement. It is believed to affect human behaviour in a various situation like; learning, thinking, perceptions, creativity, and feelings. Many students cannot learn effectively as a result of not been stimulated. The present study aimed to identify a relationship between parental involvement (parenting, communicating, volunteering, learning at home, decision making and collaboration with the community) and students’ intrinsic motivation for learning Islamic education. The study used Quantitative approach; a survey type of descriptive study was employed. Two separate questionnaires were administered to a sample of 335 parents with their children attending the national religious secondary schools known as SMKA in Kuala Terengganu. The collected data was analysed using a statistical package for social science (SPSS) version 19. The finding shows a moderate positive relationship between parenting, communicating, volunteering, learning at home, decision making, collaboration with community and intrinsic motivation on learning Islamic education. Therefore, Schools should endeavour to plan tirelessly, so as to strengthen their commitment and enhance their relationship with parents as they are the co-partners in learning achievement of Islamic education. Citation: Ubale AZ, Abdurrahman T, Abdullah AH (2015) A Relationship between Parental Involvement and Intrinsic Motivation on Learning Islamic Education. Arts Social Sci J 6: 115. doi:10.4172/2151-6200.1000115
Future Clinical Applications of the Potential use of Lactic Acid Bacteria as Vehicles to Deliver DNA Vaccines

The use of Lactic Acid Bacteria (LAB) as DNA delivery vehicles represents an interesting strategy as they are regarded as safe. Within the group of LAB, the Lactococcus lactis is deemed as a model microorganism, which is being extensively used for antigen and cytokines production and delivery to the mucosal level. Recently studies about these bacteria have focused on their usage as vehicles for the delivery of genic vaccines. Wild type or recombinant invasive L. lactis are able to trigger DNA expression by epithelial cells, both in vitro and in vivo , important for effectiveness of the vaccine. For this, invasive strains of L. lactis have been developed in order to increase the delivery efficiency of these vaccines to host cells. DNA vaccines are plasmid structures with genes that encode antigenic/therapeutic proteins or peptides capable of triggering an immune response against a wide range of diseases. This review summarizes the potential use of Lactic Acid Bacteria as vehicles to deliver DNA vaccines.
Voltage-Controlled Reconfigurable Spin-Wave Nanochannels and Logic Devices

Though confinement of spin waves (SWs) through nanochannels (NCs) is essential for the development of magnonic logic hardware, voltage-controlled reconfigurable SW nanochannels and logic devices have remained elusive. Here numerical micromagnetic simulations show that NCs of arbitrary shape and size, down to a few tens of nanometers, can be easily configured to transmit SWs with variable wave vectors as needed, even in the absence of a magnetic field. Operation of reconfigurable logic devices using the NCs is also demonstrated. This study is expected to have a large impact on the development of all-voltage-controlled low-power nanoscale magnonic devices.
Using Grice Maxims In Ranking Community Question Answers

—Community question answering portals and forum Web sites are becoming prominent resources of knowledge and experience exchange and such platforms are becoming invaluable information mines. Getting to this information in such knowledge mines is not trivial and fraught with difﬁculties and challenges. One of these difﬁculties is to discover the relevant answers and/or to predict the best answer(s) among these. In this paper, we present a Grice cooperative maxims based approach for ranking community question answers.
OP-PLCE210041 1058..1082

The unicellular green alga Chlamydomonas reinhardtii is a choice reference system for the study of photosynthesis and chloroplast metabolism, cilium assembly and function, lipid and starch metabolism, and metal homeostasis. Despite decades of research, the functions of thousands of genes remain largely unknown, and new approaches are needed to categorically assign genes to cellular pathways. Growing collections of transcriptome and proteome data now allow a systematic approach based on integrative co-expression analysis. We used a dataset comprising 518 deep transcriptome samples derived from 58 independent experiments to identify potential co-expression relationships between genes. We visualized coexpression potential with the R package corrplot, to easily assess co-expression and anti-correlation between genes. We extracted several hundred high-confidence genes at the intersection of multiple curated lists involved in cilia, cell division, and photosynthesis, illustrating the power of our method. Surprisingly, Chlamydomonas experiments retained a significant rhythmic component across the transcriptome, suggesting an underappreciated variable during sample collection, even in samples collected in constant light. Our results therefore document substantial residual synchronization in batch cultures, contrary to assumptions of asynchrony. We provide step-by-step protocols for the analysis of co-expression across transcriptome data sets from Chlamydomonas and other species to help foster gene function discovery.
A Graph Model of Events Focusing on Granularity and Relations Towards Organization of Collective Intelligence on History

—We propose Event Graph Model to organize collective intelligence on history and acquire useful knowledge of events. Our Event Graph Model represents a complicated event of various granularities as a graph composed of nodes corresponding to smaller-grained events and edges corresponding to relations between the events. This model is expected to be useful for ﬁnding events whose structures are similar to each other. In other words, our model would be able to distinguish such events from ones similar by vocabulary but different substantially, although previously proposed keyword-based event analyses could not.