Miracle-dz/UniFAR-FTUs huggingface dataset:
Composition of Plant Functional Traits of some Dominant Species along Altitudinal Gradients at the Doi Suthep-Pui National Park, Chiang Mai Province, Thailand

Plant functional traits are important in a forest ecosystem as they play an essential role in the plant response to various environmental factors. This study aimed to detect plant traits like specific leaf area (SLA), leaf dry matter content (LDMC), leaf thickness (L th ), leaf toughness (L to ), and wood density (WD) of woody species along altitudinal gradients between 900 – 1,040 m above sea level (a.s.l.). Fifteen species from a deciduous dipterocarp forest (DDF) and lower montane forest (LMF) were selected. Functional traits were calculated based on a community weighted mean (CWM) by the trait value weighted by the relative abundance of each species in the community. The differences in CMW traits among various forest types were tested using ANOVA. Regression analysis was performed between the altitudinal gradients and CWM for functional traits to evaluate trend of the functional traits as a function of the altitudinal gradient. The results showed that CWM traits varied with the altitudinal gradient. SLA and L th were found to be higher in LMF (981–1,040 m. a.s.l.) compared to the forest ecotone, which is a common area between the two forests (FE, 941–980 m. a.s.l.) and DDF (900–940 m. a.s.l.), whereas LDMC and L to were found to be higher at FE and WD was found to be higher at DDF compared to FE and LMF. This indicates that the establishment of woody tree species needed different traits depending on the gradient . There were significant correlations between the CWM of traits and altitudinal gradients. For example SLA and L th increased with increasing altitudinal gradients while traits of WD decreased with increasing altitude. However, no significant correlation between CWM and L to of LDMC with altitudinal gradients was found. Moreover, SLA, L th , and WD varied along altitudinal gradients but only a small change was observed in LDMC and L to . This indicates that the plant functional traits may be resilient to gradual altitudinal gradient changes.
Complete chloroplast genome sequence of Homalium hainanense (Salicaceae)

Abstract Homalium hainanense is a large evergreen tree species belonging to Salicaceae family, and its wood is tough, fine-grained, which makes it a good source of commercial use for building construction and furniture manufacturing. In this study, we sequenced the complete chloroplast genome of H. hainanense based on next generation sequencing and used these data to assess genomic resources. The size of the H. hainanense chloroplast genome was 157,852 bp, including a large single-copy region (85,888 bp), a small single-copy region (16,592 bp), and a pair of inverted repeats regions (27,686 bp). The overall GC content of the H. hainanense chloroplast genome was 36.6%. The plastome of H. hainanense was predicted to contain 112 unique genes, including 78 protein coding genes, 30 tRNA genes and 4 rRNA genes. The reconstructed phylogeny revealed that Homalium was monophyletic and H. hainanense was sister to H. stenophyllum, H. paniculiflorum and H. racemosum.
Abnormalities in Proinsulin Processing in Islets from Individuals with Longstanding T1D

Work by our group and others has suggested that elevations in circulating proinsulin relative to C-peptide is associated with development of Type 1 diabetes (T1D). We recently described the persistence of detectable serum proinsulin in a large majority (95.9%) of individuals with longstanding T1D, including individuals with undetectable serum C-peptide. Here we describe analyses performed on human pancreatic sections from the nPOD collection (n=30) and isolated human islets (n=10) to further explore mechanistic etiologies of persistent proinsulin secretion in T1D. Compared to nondiabetic controls, immunostaining among a subset (4/9) of insulin positive T1D donor islets revealed increased numbers of cells with proinsulin-enriched, insulin-poor staining. Laser capture microdissection followed by mass spectrometry revealed reductions in the proinsulin processing enzymes prohormone convertase 1/3 (PC1/3) and carboxypeptidase E (CPE) in T1D donors. Twenty-four hour treatment of human islets with an inflammatory cytokine cocktail reduced mRNA expression of the processing enzymes PC1/3, PC2, and CPE. Taken together, these data provide new mechanistic insight into altered proinsulin processing in long-duration T1D and suggest that reduced β cell prohormone processing is associated with proinflammatory cytokine-induced reductions in proinsulin processing enzyme expression.
Deep motif deconvolution of HLA-II peptidomes for robust class II epitope predictions

CD4 T cells are key for priming and regulating immune recognition of infected and cancer cells, but predictions of class II epitopes have limited accuracy. We combined unbiased Mass Spectrometry-based HLA-II peptidomics with a novel motif deconvolution algorithm to profile and analyze a total of 99’265 unique HLA-II ligands. Our work demonstrates substantial improvement in the definition of HLA-II binding motifs and enhanced accuracy in class II epitope predictions.
Affective Assessment Using Social Media

The industrial revolution 4.0 has changed the way humans communicate and obtain information. Social interactions occur on social media, like in the real world. A person's attitude and character can be easily assessed through these patterns of social interaction. This research is a semi-systematic review that aims to map and describe various social media-based assessment methods. Data was collected through literature surveys related to affective assessments and studies related to the use of social media in learning and assessment. Data were synthesized with a meta-aggregation synthesis technique. The purpose of this study is to provide a brief overview of the importance of affective assessment, the potential of social media in education, specifically learning and assessment, and present various alternative assessment methods that can be chosen by educators in assessing the affective domain. The results of this study indicate that three theories underlie the use of social media in education, namely sociocultural, distributed cognition, and situated cognition. The benefits that can be obtained from the use of social media in the assessment are flexible, easily repeated, convenient, and easily accessible. Four affective assessment methods can be done through social media, including self-assessment, peer assessment, language pattern analysis, and group assessment. The four assessment methods can be an alternative that can be chosen by the teacher in assessing students using social media.
Fingerprint Matching Using Bozorth3 Algorithm and Parallel Computation on NVIDIA Compute Unified Device Architecture

This paper studied fingerprint matching employing Bozorth3 Algorithm for matching fingerprint and parallel computation employing NVIDIA Compute Unified Device Architecture (NVIDIA CUDA). The objective of this study obtains the percentage and time processing of matching fingerprints. In this study, the fingerprint matching is done with parallel computing is applied to the GPU (Graphics Processing Unit). GPU device used in this study is the CUDA (Compute Unified Device Architecture), which is an Application Programming Interface (API) developed by NVIDIA. The development of applications with fingerprint matching serial computing on CPU and parallel computing on GPU can be applied to the CUDA API. The results from this study can be found in the performance process on the CPU and GPU. The results of this research are the process on CUDA execution time is better than the execution time on the CPU, the process is done at both the computation is to find a match in the fingerprint value.
Real-Time Event Reconstruction and Analysis in CBM and STAR Experiments

Within the FAIR Phase 0 program, the algorithms of the FLES (First-Level Event Selection) package developed for the CBM experiment (FAIR/GSI, Germany) are adapted for the STAR experiment (BNL, USA). Use of the same algorithms creates a bridge between online and offline, which makes it possible to combine online and offline resources for data processing. In this way, an express data production chain was created on the basis of the STAR HLT farm, that extends the functionality of HLT in real time up to the analysis of physics. It is important, that the express analysis chain does not interfere with the standard analysis chain. A particular advantage of express analysis is that it allows calibration, production and analysis of the data to begin immediately after they are collected. Therefore, the use of express analysis is beneficial for BES II data production and helps to speed up scientific discovery by helping to obtain results within one year after the end of data acquisition. The specific features of express data production are presented and discussed as well as the results of online production and analysis, such as real-time reconstruction of short-lived particles in the BES-II STAR environment.
Highest plasticity of carbon‐concentrating mechanisms in earliest evolved phytoplankton

Phytoplankton photosynthesis strongly relies on the operation of carbon‐concentrating mechanisms (CCMs) to accumulate CO2 around their carboxylating enzyme ribulose‐1,5‐bisphosphate carboxylase/oxygenase (RuBisCO). Earlier evolved phytoplankton groups were shown to exhibit higher CCM activities to compensate for their RuBisCO with low CO2 specificities. Here, we tested whether earlier evolved phytoplankton groups also exhibit a higher CCM plasticity. To this end, we collected data from literature and applied a Bayesian linear meta‐analytic model. Our results show that with elevated pCO2, photosynthetic CO2 affinities decreased strongest and most consistent for the earlier evolved groups, i.e., cyanobacteria and dinoflagellates, while CO2‐dependent changes in affinities for haptophytes and diatoms were smaller and less consistent. In addition, responses of maximum photosynthetic rates toward elevated pCO2 were generally small and inconsistent across species. Our results demonstrate that phytoplankton groups with an earlier origin possess a high CCM plasticity, whereas more recently evolved groups do not, which likely results from evolved differences in the CO2 specificity of RuBisCO.
Global and Adaptive Thresholding Technique for White Blood Cell Image Segmentation

Global and local thresholding are two thresholding approaches for white blood cell (WBC) image segmentation. Global thresholding determines the threshold value based on the histogram of the overall pixel intensity distribution of the image. In contrast, adaptive thresholding computes the threshold value for each fractional region of the image, so that each fractional region has a different threshold value. In this work, we are assessing both of these approaches for two threshold values. We extended the Otsu’s equation to calculate more than one threshold as it originally designed to find only a single threshold value. Adaptive thresholding first divides an image into fractional-image by considering an imaginary bounding box that surrounds the location of WBC, which involves the Gram-Schmidt orthogonalization method. For segmentation performance evaluation, we compare 35 blood smear test images which segmented by our proposed method, with their corresponding ground truth image to representing them in Zijdenbos Similarity Index (ZSI), precision, and recall measurement. Experimental results show that adaptive thresholding achieves average ZSI, precision and recall, 92.5%, 91.79%, 94.03%, while global thresholding achieves 30.72%, 23.38%, and 99.39% respectively.
Testing of monoclonal antibodies against the T-cell receptor associated with ankylosing spondylitis

In the last decade there has been a tendency to move away from the symptomatic treatment and embrace targeted therapies. This process is underpinned by the accumulated knowledge of the mechanisms underlying the pathogenesis of diseases and driven by the advances in biotechnologies. T-cell receptors with variable TRBV9 β-chain regions have been recently associated with spondyloarthritis including its subtype, ankylosing spondylitis. The aim of this work was to engineer a chimeric monoclonal antibody targeting the variable region of the T-cell receptor β-chain encoded by the TRBV9 gene segment and assess its specificity and cytotoxicity. Using flow cytometry and next generation sequencing, we demonstrate that the engineered chimeric antibody is highly specific and exhibits cytotoxic activity against its target. Approaches based on the use of therapeutic chimeric antibodies against pathogenic T-clones may hold great promise for the therapy of autoimmune disorders in general and AS in particular.
Value-based healthcare in mental health services

SUMMARY In value-based healthcare (VBHC) value is defined as outcomes that matter to patients divided by the cost of achieving these outcomes. Value is measured for discrete medical conditions across the whole cycle of care. Data on the value achieved by different providers is openly shared. Providers increase value using quality improvement (QI) techniques to improve outcomes, reduce costs or both. Patients or commissioners choose the provider achieving the greatest value. Units should compete regionally or nationally. There are challenges to implementing such ideas in the mental health services in the UK. However, measuring outcomes, understanding costs and using QI to drive up value may be possible without adopting the complete model that has developed in the context of a North American and acute hospital healthcare system.
Effectiveness and safety of acupuncture in the treatment of chronic severe functional constipation

Abstract Background: Acupuncture has been widely used clinically to relieve chronic severe constipation. However, the efficacy of acupuncture in the treatment of chronic severe constipation is uncertain. The purpose of this study is to determine the effectiveness and safety of acupuncture in the treatment of chronic severe constipation. Methods: Search PubMed, Cochrane Library, Embase, China National Knowledge Infrastructure Database, Wanfang Database, China Science, and Technology Journal Database, China Biomedical Literature Database, and search related randomized controlled trials. Two reviewers will independently select studies, collect data, and evaluate methodological quality through the Cochrane Deviation Risk Tool. Revman V.5. 3 will be used for meta-analysis. Results: This study will evaluate the current status of acupuncture treatment for chronic severe constipation, aiming to illustrate the effectiveness and safety of acupuncture treatment. Conclusion: This study will provide a basis for judging whether acupotomy is effective in treating chronic severe constipation. INPLASY registration number: INPLASY202070002
PROTECTIVE ACTIVITY OF ALPHA-PINENE AND TRANS-ANETHOLE AGAINST 3-NITRO PROPIONIC ACID INDUCED NEUROTOXICITY IN ANIMAL MODEL OF HUNTINGTON’S DISEASE

Huntington’s disease (HD) is a highly destructive autosomal dominant neurodegenerative disorder. 3-Nitropropionic acid (3-NP), model is a well- known model to induce Huntington’s disease (HD) in rodents. It is a neurotoxin which causes severe neurotoxicity in the form of oxidative stress. Alpha-pinene (AP) and Trans-anethole (TA) are the natural compounds having mainly antioxidant and neuroprotective effects. In the present study, the neuroprotective effect of Alpha-pinene and on 3-NP induced oxidative stress in rat striatum was determined by behavioural and biochemical parameters. Rats were induced with 3-NP (10 mg/kg) intraperitoneally for 14 days and rats induced with 3-NP were treated with Alpha-pinene and Trans-anethole - (50 mg/kg, each, per. oral) and the combination group (AP + TA) - (25 mg/kg, each, p. o) for 14 days. Alpha-pinene and Trans-anethole have given better results in the case of body weight reduction and behavioural analysis which includes (elevated plus maze (Anxiety), forced swim test, rota rod activity (grip strength). Biochemical estimation includes (lipid peroxidation (MDA), SOD, GSH, Catalase levels), It decreases the increased level of MDA and increased the decrease level of SOD, GSH and Catalase levels), while combination effect of Alpha-pinene and Trans-anethole were found to be more effective. The present study shows that the antioxidant activity of alpha-pinene and trans-anethole may be responsible for its neuroprotective activity against 3-nitropropionic acid induced neurotoxicity in rats.
Depression Detection Via Twitter

Depression is one of the most common mental health disorders, and a large number of depressed people commit suicide each year. Potential depression sufferers do not consult psychological doctors because they feel ashamed or are unaware of any depression, which may result in severe delay of diagnosis and treatment. In the meantime, evidence shows that social media data provides valuable clues about physical and mental health conditions. In this thesis, I argue that it is feasible to identify depression at an early stage by mining online social behaviours. My approach, which is innovative to the practice of depression detection, does not rely on the extraction of numerous or complicated features to achieve accurate depression detection. Instead, I propose a novel classifier, namely, Inverse Boosting Pruning Trees (IBPT), which demonstrates a strong classification ability on two publicly accessible Twitter depression detection datasets. Subsequently, I propose a novel deep neural topic model, FastText Distributional Prior DocNADE with Attention Mechanism (fdp-DocNADEa) that collects interpretable topics from Twitter users’ posting content and generates representative document features for depression classification. To comprehensively evaluate the clustering capability of the fdp-DocNADEa, I use three real text datasets and the fdp-DocNADEa still obtains competitive results against several state of the arts techniques. Finally, I combine the two newly proposed methods to form an entire framework for Twitter depressed users classification and the results manifest that my proposed framework is promising for identifying Twitter users with depression.
Chinese traditional village residents’ behavioural intention to support tourism: an extended model of the theory of planned behaviour

Purpose Based on the theory of planned behaviour (TPB), this paper aims to investigate the effects of residents’ place attachment (PA), subjective norms (SNs) and perceived behavioural control (PBC) on their attitudes towards behaviour (AB) and behavioural intention to support tourism (BI). This paper aims to examine whether residents’ AB mediate the relationships between BI and PA, SNs and PBC. Design/methodology/approach The results are obtained using a quantitative method based on data gathered from self-administered questionnaires completed by 406 residents of Hongcun, a Chinese traditional village. Findings The TPB is successfully used to explain Chinese traditional village residents BI. The findings extend the extant research and render the TPB more widely applicable. This study confirms that the inclusion of PA within the framework of the TPB is valid and satisfactory, demonstrating continued support for the coupling of complementary theories to explain tourism development from a resident perspective. Finally, this study extends the literature on residents’ PA and demonstrates its impact on their attitudes and consequent reactions, thus supplementing the limited evidence on PA as a direct predictor of residents’ BI. Specifically, SNs are the critical factor affecting residents’ AB and their BI. Residents’ AB only mediate the relationship between SNs and their BI. Research limitations/implications This paper only includes PA within the framework of the TPB. More constructs should be incorporated to deepen the understanding of residents’ BI. In addition, the data were only collected in a traditional village. Originality/value This paper is one of the first studies to combine PA with the TPB in research on residents’ BI in a developing country – in this instance, China.
APPLICATION DEVELOPMENT OF VEHICLE COUNTING AND CLASSIFICATION USING YOLOV2

In this research, we going to introduce a method named You Only Look Once v2 (YOLOv2) for vehicle detection and vehicle classification. The vehicle is going to classify is divided by 4 there are car, motorcycle, truck, and bus. The result of classified data it can provide data for Intelligent Transportation System (ITS) to engineering the traffic road to reduce the number of traffic jam in the big city. With this method we can receive higher accuracy and performance than another method proposed before. By using data consist of 21198 objects for training, from all that data there is consist of 8936 cars, 462 buses, 1681 trucks, and 10119 motorcycles. Then from all that data we can created some weight that took for 10 hours for training so that we can receive mean Average Precision (mAP) for 60.63 % mAP and higher performance detection with frame rate 20 up to 35 frame per seconds which is almost equal to real-time.
State or trait? MRS-measured GABA and Glutamate concentrations are not modulated by task demand and do not robustly predict task performance

Over the past few years, Magnetic Resonance Spectroscopy (MRS) has become a popular method to non-invasively study the relationship between in-vivo concentrations of neurotransmitters such as GABA and Glutamate and cognitive functions in the human brain. However, currently, it is unclear to what extent MRS measures reflect stable trait-like neurotransmitter levels, or may be sensitive to the brain’s activity state as well. Therefore, this study investigated if cortical GABA (GABA+/Cr) and Glutamate (Glx/Cr) levels differ as a function of task demand, and if so, in which activity state these measures may best predict behavioral performance. We acquired 3T-MRS data from thirty healthy men in two brain areas during different task demands: the medial occipital cortex (OC), at rest (eyes closed) and while subjects watched a movie (on-task); and the left dorsolateral prefrontal cortex (lDLPFC), at rest, during an easy working memory (WM) task, and during a challenging WM task. Task demand had no effect on the concentration of GABA or Glutamate in either brain region. Moreover, we observed no correlations between GABA and Glutamate concentrations and behavioral performance; occipital neurotransmitter concentrations did not predict visual discrimination nor did those in lDLPFC predict WM updating accuracy, capacity or maintenance. These null findings were supported by Bayesian statistics. In conclusion, these results suggest that with 3T-MRS we measure relatively stable trait-like neurotransmitter concentrations, but at the same time question the validity of 3T-MRS as a method to relate GABA and Glutamate concentrations to behavior.
Assessment of Native Pink Pigmented Facultative Methylotrophs of Chilli (Capsicum annuum L.) for their Plant Growth Promotional Abilities

Methylotrophs are those microorganisms which are able to grow utilizing the reduced carbon compounds, like methanol (released during plant metabolism), containing one or more carbon atoms having no carbon-carbon bonds. Obligate methylotrophs grow only on such compounds whereas, facultative methylotrophs thrive on a variety of other organic multi-carbon compounds (Anthony, 1982). Different species of methylotrophs are distributed in a diverse variety of natural and manmade environments, including soil, air, dust, fresh water, marine water, water supplies, polluted soil, bathrooms, air conditioning systems, masonry, etc. (Trotsenko et al., 2001). Several species of methylotrophic bacteria are found growing in association with terrestrial and aquatic plants, colonizing roots, leaf surfaces and growing buds (Lidstrom and Chistoserdova, 2002). The International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 8 Number 01 (2019) Journal homepage: http://www.ijcmas. com