Miracle-dz/UniFAR-FTUs huggingface dataset:
Phosphatidylinositol-4-kinase IIα licenses phagosomes for TLR4 signaling and MHC-II presentation in dendritic cells

Significance Dendritic cells (DCs) play a key role at the interface between innate and adaptive immunity. DCs continuously sample their microenvironment, respond to microbial cues by signaling through pattern-recognition receptors such as Toll-like receptors (TLRs), and present bacterial antigens to adaptive immune cells. We show that the lipid kinase phosphatidylinositol-4-kinase IIα (PI4KIIα) is required to generate a phosphatidylinositol-4-phosphate pool on DC phagosomes that allows binding of the TLR sorting adaptor TIRAP and promotes TLR4 phagosomal signaling to proinflammatory cytokine production, phagosomal membrane tubule formation, and presentation of phagocytosed antigens. PI4KIIα therefore ensures phagosomal identity and autonomous signaling to initiate antimicrobial immune responses in DCs. Toll-like receptor (TLR) recruitment to phagosomes in dendritic cells (DCs) and downstream TLR signaling are essential to initiate antimicrobial immune responses. However, the mechanisms underlying TLR localization to phagosomes are poorly characterized. We show herein that phosphatidylinositol-4-kinase IIα (PI4KIIα) plays a key role in initiating phagosomal TLR4 responses in murine DCs by generating a phosphatidylinositol-4-phosphate (PtdIns4P) platform conducive to the binding of the TLR sorting adaptor Toll-IL1 receptor (TIR) domain-containing adaptor protein (TIRAP). PI4KIIα is recruited to maturing lipopolysaccharide (LPS)-containing phagosomes in an adaptor protein-3 (AP-3)-dependent manner, and both PI4KIIα and PtdIns4P are detected on phagosomal membrane tubules. Knockdown of PI4KIIα—but not the related PI4KIIβ—impairs TIRAP and TLR4 localization to phagosomes, reduces proinflammatory cytokine secretion, abolishes phagosomal tubule formation, and impairs major histocompatibility complex II (MHC-II) presentation. Phagosomal TLR responses in PI4KIIα-deficient DCs are restored by reexpression of wild-type PI4KIIα, but not of variants lacking kinase activity or AP-3 binding. Our data indicate that PI4KIIα is an essential regulator of phagosomal TLR signaling in DCs by ensuring optimal TIRAP recruitment to phagosomes.
Automatic three-dimensional reconstruction of fascicles in peripheral nerves from histological images

Computational studies can be used to support the development of peripheral nerve interfaces, but currently use simplified models of nerve anatomy, which may impact the applicability of simulation results. To better quantify and model neural anatomy across the population, we have developed an algorithm to automatically reconstruct accurate peripheral nerve models from histological cross-sections. We acquired serial median nerve cross-sections from human cadaveric samples, staining one set with hematoxylin and eosin (H&E) and the other using immunohistochemistry (IHC) with anti-neurofilament antibody. We developed a four-step processing pipeline involving registration, fascicle detection, segmentation, and reconstruction. We compared the output of each step to manual ground truths, and additionally compared the final models to commonly used extrusions, via intersection-over-union (IOU). Fascicle detection and segmentation required the use of a neural network and active contours in H&E-stained images, but only simple image processing methods for IHC-stained images. Reconstruction achieved an IOU of 0.42±0.07 for H&E and 0.37±0.16 for IHC images, with errors partially attributable to global misalignment at the registration step, rather than poor reconstruction. This work provides a quantitative baseline for fully automatic construction of peripheral nerve models. Our models provided fascicular shape and branching information that would be lost via extrusion.
ETHNO-ECOLOGICAL STUDIES ON THE MEDICINAL PLANTS OF WESTERN GHATS REGION WITH SPECIAL REFERENCE TO VALPARAI TRIBES

Traditional knowledge on plant has a long-standing history in many indigenous communities, and continues to provide useful tools for treating various diseases. Tribal communities living in biodiversity rich areas possess a wealth of knowledge on the utilization and conservation of food and medicinal plants. They are well versed in the usage of plant for treating various diseases. The present study carryout by survey method aimed to identifying the plants used for the general health of the tribal communities such as Kadar, Muthuvar and Malai Malasars of Western Ghats region. Ethno medicinal information was gathered through questionnaire from the majority of tribal people of Valparai hills Coimbatore, Tamil Nadu. All the traditional and other knowledge related to the collection and consumption of the medicinal plants, their environment on which communities depends was documented. The present study observed that, the tribal peoples from valparai having knowledge of 29 species on the traditional medicine. These tribes are one of the major conservators of environments. Their traditional knowledge can be utilized for the breeding technology of variety of threatened species and develop for the biodiversity conservation as well as for pharmacological research in various dimensions.
Factors Affecting Reuse Intention on Mobile Shopping Application

Mobile apps have become a game changer in retail business. Consumers can shop anything through their smartphones anytime and anywhere. In Indonesia, various of online marketplaces such Tokopedia, Lazada, and Shopee have emerged giving customers many options to shop and they tend to switch channel easily to another shopping apps. This study tested a conceptual model describing the relationships among Technology Acceptance Model (TAM), flow, attitude towards mobile shopping apps and intention to reuse mobile shopping apps. The sample of this research is consumers who have experienced online shopping using mobile shopping apps. The data were collected from 181 respondents via online questionnaire survey. Structural Equation Modeling (SEM) was used for data analysis using AMOS version 22. The results show that perceived usefulness is signiﬁcantly has a positive impact to ﬂow while perceived ease of use is not significantly related to flow. Flow is positively related to attitude. In addition, the results indicated that attitude is one of the main predictors of consumers reuse intention towards mobile shopping apps and has a greater impact than the direct relation of perceived usefulness to reuse intention. This study extends the research scope of mobile shopping behavior and provided implications for mobile app retailing
Cardioprotective Effect of Monoammonium Glycyrrhizinate Injection Against Myocardial Ischemic Injury in vivo and in vitro: Involvement of Inhibiting Oxidative Stress and Regulating Ca 2+ Homeostasis by L-Type Calcium Channels

Purpose: Monoammonium glycyrrhizinate (MAG) is an aglycone of glycyrrhizin that is found in licorice and is often used clinically as an injection to treat liver diseases. However, the effect of MAG injection on cardiac function and its possible cellular mechanisms remain unclear. We explored the protective effects of MAG against myocardial ischemic injury (MII) induced by isoproterenol (ISO), as well as the cellular mechanisms via molecular biology techniques and patch-clamp recording. Methods: A rat model of myocardial ischemia injury was induced by administering ISO (85 mg/kg) subcutaneously for 2 consecutive days. ECG, cardiac functional parameters, CK and LDH levels, SOD and GSH activities, MDA concentration, histological myocardium inspection, mitochondria ultrastructure changes, intracellular calcium concentrations were observed. In ﬂ uences of MAG on I Ca-L and contraction in isolated rat myocytes were observed by the patch-clamp technique. Results: MAG reduced damage, improved cardiac morphology, inhibited oxidative stress, decreased the generation of reactive oxygen species, and decreased intracellular Ca 2+ concentration. Exposure of the rats ’ ventricular myocytes to MAG resulted in a concentration-dependent reduction in L-type calcium currents (I Ca-L ). MAG reduced I Ca-L in a consistent and time-dependent fashion with a semi-maximal prohibitive concentration of MAG of 14 μ M. MAG also shifted the I-V curve of I Ca-L upwards and moved the activation and inactivation curves of I Ca-L to the left. Conclusion: The ﬁ ndings indicate that MAG injection exerts a protective in ﬂ uence on ISO-induced MII by inhibiting oxidative stress and regulating Ca 2+ homeostasis by I Ca-L .
Analysing N-of-1 observational data in health psychology and behavioural medicine: a 10-step SPSS tutorial for beginners

ABSTRACT Background: N-of-1 observational studies can be used to describe natural intra-individual changes in health-related behaviours or symptoms over time, to test behavioural theories and to develop highly personalised health interventions. To date, N-of-1 observational methods have been under-used in health psychology and behavioural medicine. One reason for this may be the perceived complexity of statistical analysis of N-of-1 data. Objective: This tutorial paper describes a 10-step procedure for the analysis of N-of-1 observational data using dynamic regression modelling in SPSS for researchers, students and clinicians who are new to this area. The 10-step procedure is illustrated using real data from an N-of-1 observational study exploring the relationship between pain and physical activity. Conclusion: The availability of a user-friendly and robust statistical technique for the analysis of N-of-1 data using SPSS may foster increased awareness, knowledge and skills and establish N-of-1 designs as a useful methodological tool in health psychology and behavioural medicine.
DM-IMCA: A dual-mode in-memory computing architecture for general purpose processing

In-Memory Computing (IMC) architectures based on Static Random Access Memory (SRAM) can improve system performance and energy-eﬃciencydramatically. However,mostoftheexistingSRAM-basedimplementationsaredesignedforspeciﬁcpurposeslikeacceleratingneural networks, which limits the application scenarios of IMC. In this paper, we propose DM-IMCA, a novel IMC architecture with two work modes for general purpose processing. It utilizes our proposed 9T bitcell based computational SRAM as the location to perform IMC operations. Besides, a new IMC Instruction Set Architecture (ISA) as well as an automated vector computing mechanism are also proposed to facilitate DM-IMCA’s programming and accelerate in-memory computing, respectively. The simulation results show that DM-IMCA can bring a performance increase byupto257x
The Role of Pain Catastrophizing and Anxiety Levels on Quality of Life in Fibromyalgia Compared with Healthy Women

Patients with fibromyalgia (FM) present with chronic and diffuse musculoskeletal pain, a low pain threshold at specific anatomical points, weakness and fatigue, which eventually lead to reduced physical activity and decreased quality of life. Some studies have indicated a link between FM and personality and mental characteristics, but few have examined differences between women with FM and healthy women. The goals of this research were to investigate these differences, as well as the link between the degree of catastrophizing and coping with the disease among sick women. This comparative and correlative study examined 165 women 75 (46%) with FM and 90 (54%) healthy women. All the subjects filled out a socio-demographic questionnaire, the State and Trait Anxiety Questionnaire, and the Short Form Health Survey (SF-12). In addition, the women diagnosed with FM answered the Pain Catastrophizing Scale and the Fibromyalgia Impact Questionnaire (FIQ). We found that women with FM report high levels of anxiety and low levels of quality of life regarding their disease. It seems that their mental health is linked to their physical status. Interventions to improve mental health in this patient population may also bring enhancement in quality of life.
Analysis of Application Based on Cloud Computing in Banking Industries in Indonesia Using Technology Acceptance Model (TAM) 2 Method Case Study The National Private Banks in Surabaya and Bali Region

Cloud computing applications remain rarely used in the banking industry in Indonesia. X is one of the national private banks in Indonesia, which is the first bank to use cloud computing application in their operations. Since it is the first bank to use such technology, the the researcher aims to measure the acceptance and ease of use of cloud computing-based applications, and to measure the level of user satisfaction with the TAM 2 method (Technology Acceptance Model 2). The researcher used the TAM 2 method because it is the development of the TAM 1 method which adds social influence and external perspective variables. Variables in TAM 2 are subjective norms, image, result demonstrability, job relevance, voluntariness, perceived usefulness, perceived ease of use, intention to use and usage behavior. Distribution of questionnaire samples was conducted to 90 respondents in Surabaya and Bali. Data from the questionnaire were tested in terms of validity and reliability, correlation and regression, variable descriptive analysis, and hypothesis. From the results, it was found that the twelve hypotheses in TAM 2 were all acceptable and the most significant effect was the outcome quality variable towards the benefits of using cloud computing applications at 41.2%. Therefore, it can be concluded that the greater the quality of the result of cloud computing applications, the greater the benefits of the technology
Candidate Genes Associated with Delayed Neuropsychomotor Development and Seizures in a Patient with Ring Chromosome 20

Ring chromosome 20 (r20) is characterized by intellectual impairment, behavioral disorders, and refractory epilepsy. We report a patient presenting nonmosaic ring chromosome 20 followed by duplication and deletion in 20q13.33 with seizures, delayed neuropsychomotor development and language, mild hypotonia, low weight gain, and cognitive deficit. Chromosomal microarray analysis (CMA) enabled us to restrict a chromosomal segment and thus integrate clinical and molecular data with systems biology. With this approach, we were able to identify candidate genes that may help to explain the consequences of deletions in 20q13.33. In our analysis, we observed five hubs (ARFGAP1, HELZ2, COL9A3, PTK6, and EEF1A2), seven bottlenecks (CHRNA4, ARFRP1, GID8, COL9A3, PTK6, ZBTB46, and SRMS), and two H-B nodes (PTK6 and COL9A3). The candidate genes may play an important role in the developmental delay and seizures observed in r20 patients. Gene ontology included microtubule-based movement, nucleosome assembly, DNA repair, and cholinergic synaptic transmission. Defects in these bioprocesses are associated with the development of neurological diseases, intellectual disability, neuropathies, and seizures. Therefore, in this study, we can explore molecular cytogenetic data, identify proteins through network analysis of protein-protein interactions, and identify new candidate genes associated with the main clinical findings in patients with 20q13.33 deletions.
Fine-mapping the recently discovered QTL qMrdd2 that confers resistance to maize rough dwarf disease

Background: Maize rough dwarf disease (MRDD) is a disease caused by a virus that seriously affects maize yield and quality worldwide. Rice black streaked dwarf virus (RBSDV) in the Fijivirus genus in the Reoviridae family causes MRDD in maize. Typical MRDD symptoms of include severe dwarfing of plants, shortening of internodes. MRDD resistance is a complex trait that is quantitatively inherited and is controlled by several quantitative trait loci (QTL). MRDD is most efficiently controlled by the cultivation of disease-resistant corn hybrids. Results: Disease resistance in the MRDD-resistant Qi319 and -susceptible Ye478 parental inbred lines and the 314 recombinant inbred lines (RILs) that were derived from a cross between them was evaluated across three environments. A stable resistance QTL, qMrdd2 , which explained 8.64 to 11.02% of the total phenotypic variance in MRDD resistance, was identified repeatedly and was mapped using BLUP values to a 0.55-Mb region between the markers MK807 and MK811 on chromosome 2. We validated the effect of qMrdd2 using a chromosome segment substitution line population that were derived from a cross between maize inbred Qi319 as the resistance donor and Ye478 as the recipient. The disease-severity index (DSI) of CSSL haplotype II harboring qMrdd2 was significantly lower than the DSI of susceptible parent Ye478 ( P < 0.05). Mapping results using CSSLs were consistent with localization interval determined using RILs. The qMrdd2 locus acted with an additive effect but no significant dominant gene action in conferring MRDD resistance. We fine-mapped qMrdd2 locus into a 315-kb region flanked by the markers RD81 and RD87 by testing recombinant-derived progeny using selfed backcrossed families. Conclusions: qMrdd2 is a recently discovered QTL from Qi319 for resistance to MRDD with an additive effect but no significant dominant gene action for MRDD resistance. qMrdd2 was fine-mapped to a 315-kb interval on maize chromosome 2. Introgression of the MRDD resistance allele at the qMrdd2 locus of CSSL haplotype 2 using linked markers umc1824 and bnlg125 will be useful for maize breeding to reduce yield losses caused by MRDD. Keywords: Maize, Maize rough dwarf disease, QTL, Fine-mapping, RIL；CSSL.
COMPARISON OF APICALLY EXTRUDED DEBRIS PRODUCED BY WAVEONE GOLD AND PROTAPER NEXT AFTER USING MECHANICAL OR MANUAL GLIDE PATH TECHNIQUES

1. Restorative & Dental Material Department, National Research Centre. 2. Endodontic Department, Faculty of Dental Medicine for Girls, Al-Azhar University. 3. Restorative & Dental Material Department, National Research Centre. Orcid number 0000-0001-6505-2854. Manuscript Info Abstract . Manuscript History Received: 14 October 2019 Final Accepted: 16 November 2019 Published: December 2019
Cytochrome P450 Epoxygenase-Dependent Activation of TRPV4 Channel Participates in Enhanced Serotonin-Induced Pulmonary Vasoconstriction in Chronic Hypoxic Pulmonary Hypertension

Transient receptor potential vanilloid 4 (TRPV4) is a multi-functional non-selective channel expressed in pulmonary vasculatures. TRPV4 contributes to serotonin- (5-HT-) induced pulmonary vasoconstriction and is responsible in part for the enhanced 5-HT response in pulmonary arteries (PAs) of chronic hypoxia mice. Epoxyeicosatrienoic acid (EET) is an endogenous agonist of TRPV4 and is known to regulate vasoreactivity. The levels of EETs, the expression of cytochrome P450 (CYP) epoxygenase for EET production, and epoxide hydrolase for EET degradation are altered by chronic hypoxia. Here, we examined the role of EET-dependent TRPV4 activation in the 5-HT-mediated PA contraction. In PAs of normoxic mice, inhibition of TRPV4 with a specific inhibitor HC-067047 caused a decrease in the sensitivity of 5-HT-induced PA contraction without affecting the maximal contractile response. Application of the cytochrome P450 epoxygenase inhibitor MS-PPOH had no effect on the vasoreactivity to 5-HT. In contrast, inhibition of CYP epoxygenase or TRPV4 both attenuated the 5-HT-elicited maximal contraction to a comparable level in PAs of chronic hypoxic mice. Moreover, the inhibitory effect of MS-PPOH on the 5-HT-induced contraction was obliterated in PAs of chronic hypoxic trpv4−/− mice. These results suggest that TRPV4 contributes to the enhanced 5-HT-induced vasoconstriction in chronic hypoxic PAs, in part via the CYP-EET-TRPV4 pathway. Our results further support the notion that manipulation of TRPV4 function may offer a novel therapeutic strategy for the treatment of hypoxia-related pulmonary hypertension.
Second Primary Cancers in Melanoma Patients Critically Shorten Survival

Background Survival in malignant cutaneous melanoma has improved but increasing survival will result in an increased likelihood of the occurrence of second primary cancers (SPCs). SPCs may adversely interfere with survival. We quantified survival in patients with different types of SPCs, in comparison to known poor prognostic indicators of metastatic disease. Methods Data for melanoma and any SPCs were obtained from the Swedish Cancer Registry for years 2003 through 2015, including clinical TNM classification. SPCs were grouped into three ‘prognostic groups’ based on 5-year relative survival of these cancers as first primary cancer. Kaplan-Meier survival curves were generated and hazard ratios were estimated using Cox regression, adjusted for a number of variables and treating diagnosis of SPC as a time-dependent variable. Results The total number of first melanoma patients was 28,716 followed by 3,202 (11.1%) SPCs, 1/3 of which had a second melanoma while 2/3 had other SPCs. Among men diagnosed at age over 70 years, who survived at least 10 years, 31.4% had SPC. HRs (95% CI) for survival increased systematically from the reference rate of 1.00 (no SPC) to 1.59 (1.35–1.87) with SPC of good prognosis (78.6% of SPCs) to 3.49 (2.58–4.72) of moderate prognosis (12.0%) and to 7.93 (5.50–11.44) of poor prognosis (9.4%). In patients without SPC, the HRs increased to 2.62 (2.02–3.39) with any nodal metastases and to 5.88 (4.57–7.57) with any distant metastases compared to patients without local or distant metastases. Conclusion The data showed that SPCs are an increasingly common negative prognostic factor for melanoma. Future attempts to improve melanoma survival need to target SPCs.
A Review on Implementation of Hashing based Sentiment Analysis of Social Media

: The analysis based on Sentiment Concept is essentially the computerization of examination of a known content so as to decide the emotions passed on in it. Feeling investigation and supposition mining have turned out to be known as exchangeable terms. Data mining is the automated or semi-automated process of analyzing and modelling of the large data repository in order to extract interesting information. Data mining is very significant procedure of extracting potentially useful and formerly unidentified information from the large amount of data. This work presents a review on sentiment analysis of social media using data mining technique. This will use the analysis based on sentiment concept for Twitter data. This implementation may depend upon the type of data present or the method used for classification.