Miracle-dz/UniFAR-FTUs huggingface dataset:
A New Capability of E4D For 3D Parallel Joint Inversion of DC Resistivity And Traveltime Data on Unstructured Mesh

ii Abstract A major challenge in interpreting geophysical data is how to derive consistent three-dimensional (3D) earth models of different physical properties from spatially and temporally limited measurements. Joint inversion with cross-gradient constraints is an approach to find such models by imposing structural similarities between different physical parameters. We have developed a parallel distributed-memory joint inversion code for direct-current (DC) resistivity and traveltime data using the cross-gradient constraint on unstructured mesh. The code utilizes existing E4D framework for parallel forward simulation, distributed storage and computation of the Jacobian matrix of forward operator, and parallel execution of matrix-vector multiplication during inversion. Besides, the joint inversion is solved by nonlinear conjugate gradient algorithm parallelized for DC resistivity and traveltime data. The joint inversion capability of E4D was tested using synthetic data from cross-borehole DC resistivity and traveltime data. The results indicate that the shape and size of the anomalies from the joint inversion are more reliable than those from separate inversions.
A Novel method for Reviewer Assignment Problem based on Reviewers' Profile and Fuzzy Graph Connectivity Measure

Reviewer Assignment Problem (RAP) is defined as a problem of assigning the most suitable expert to the proposal. which is a very important task for any research organization In literature many solutions have been proposed for solving RAP but most of them do not deal with the imprecision associated with the problem. In this paper, a novel approach has been proposed for assigning proposals to legitimate experts based on their previous history and domain expertise. For the purpose, we have first extracted the most important words from the author’s submitted paper and reviewer’s published articles by constructing a fuzzy graph and applying fuzzy graph centrality measures on it. We have then created fuzzy sets for the selected keywords and their weights (for both author’s papers and reviewer’s publications). Afterwards, WordNet have been used to find the diatance beween the fuzzy sets represented for author's papers reviewers' papers. Finally, fuzzy extension principle is applied on the sets to slect the top 3 experts for reviewing the proposal. Experimentation shows the proposed method provides satisfactory results on SemEVAL-2010 dataset.
Psychophysiological Status and Life Quality in Individuals with Metabolic Syndrome Living in Central Kazakhstan

BACKGROUND: Morbidity rate of circulatory system diseases (CSD) in Kazakhstan continues to grow and the metabolic syndrome (MetS) contributes significantly to cardiovascular risk development. It was known that MetS altered autonomic nervous system (ANS) by decreasing parasympathetic activity and global heart rate variability (HRV), at the same time, the decrease in sympathetic modulation is unclear. Studies investigated associations between anxiety and MetS disorders are rather controversial. Research findings of the MetS influence on health-related quality of life (HRQoL) were also contradictory. The above-mentioned justifies the necessity of research to clarify and deepen the MetS etiology and pathogenesis, as well as to improve its diagnostics efficiency and treatment. AIM: The research goals were to study psychophysiological status and HRQoL in individuals with MetS living in Central Kazakhstan. MATERIALS AND METHODS: Three hundred MetS patients were examined in Karaganda city clinical hospital. Statistical methods and spectral analysis of HRV, simple visual-motor reaction (SVMR), the Spielberger State-Trait Anxiety Inventory, and the Luscher color test were used. SF-36 questionnaire was used for HRQoL assessment. RESULTS: General decrease in the activity of both sympathetic and parasympathetic branches of ANS was observed in MetS patients. More than half of the examined MetS patients have had a high level of trait anxiety. Most MetS patients have had a low level of the central nervous system (CNS) functional activity. MetS patients are active both in physical and social spheres. Bodily pain syndrome greatly influences MetS patients’ life quality. The patients evaluate their health level as being low. CONCLUSION: Individuals with MetS living in Central Kazakhstan had decreased activity of ANS, prevalence of inhibition processes in CNS, high level of trait anxiety, and bodily pain syndrome affecting life quality.
Deep Learning Applications in Analyzing Ultrasound Images of Thyroid Nodules: Protocol for a Systematic Review

Introduction: Ultrasound images are one of the main contributors for evaluating of thyroid nodules. However, reading ultrasound imaging is not easy and strongly depends to doctors’ experiences. Therefore, a CAD system could assist doctors in evaluating thyroid ultrasound images to reduce the impact of subjective experience on the diagnostic results. Objective : with the best of our knowledge there is not any articles that actually provide a systematic review of deep learning application in analyzing ultrasound images of thyroid nodules and Hence, a comprehensive review of studies in this field can be useful, therefore the protocol of this systematic Review will be presented to reach this goal. Method : This protocol includes five stages: research questions definition, search strategy design, study selection, quality assessment and data extraction. We developed search for relevant English language articles using the PubMed, Scopus and Science Direct. Inclusion and exclusion criteria were defined and flow diagram is conducted, from 623 studies retrieved, 27 studies were included, after quality assessment data was extracted based on defined categories. Result: The result of this systematic review can help researchers by comprehensive view and the summary of evidence to present new ideas and further research and represent a state of the art in this field. Conclusion : in this study a protocol was used for doing a systematic review on various deep learning applications in thyroid ultrasound such as feature selection, classification, localization, detection and segmentation. Articles were screened based on the following items: study and patient information, dataset, method, results and comparison method.
AN EXPERIMENTAL REVIEW ON EFFECT OF PRINCIPAL COMPONENT ANALYSIS ON MACHINE LEARNING TECHNIQUES

— Nowadays, huge amount of data is generating all around the world due to enhancements in the digital technology. Artificial Intelligent systems analyze the data, extract some useful hidden structures and create models for classification or regression of future data. Machine Learning is a subset of Artificial Intelligence, which is capable to design of intelligent models based on historical relationships or trends inside data. Data Mining and Machine Learning techniques playing very crucial role in analysis and management of huge profusion of data. Principal Component Analysis (PCA) reduces the complexity of data analysis by transforming the components as linear uncorrelated components, decreasing dimensions of data without effecting the accuracy of the model. This paper presents an experimental comparative analysis on the effect of PCA in 24 different machine learning models. Considered 24 Machine Learning techniques are implemented and trained with standard and multivariate Fisher's Iris data set. This dataset has 150 samples of three species of Iris (setosa, virginica and versicolor) and each sample has four features (lengths and the widths of the sepals and petals). A comparative analysis is made in terms of clustering accuracies and learning times at different levels of PCA.
Psychological capital, health, and performance: the mediating role of burnout

Psychological capital (PsyCap) is a state-like concept with roots in positive psychology. This study investigated the potential role of PsyCap, as a personal resource, in increasing the level of employees’ health (mental and physical) and performance. Based on the Job Demand-Resources theory, the mediating effect of burnout was examined using self-report data. The models were tested on 304 Romanian employees (51% women) from Information Technology & Communications (IT&C) companies, using structural equation modeling. The analysis found that burnout partially mediates the relationship between PsyCap and health (mental and physical) as well as the relationship between PsyCap and performance (task and contextual). The results highlight the role of PsyCap, as a personal resource, in health, and performance. These results are useful for implementing an evidence-based intervention to improve the level of PsyCap in IT&C employees. An improvement in PsyCap would reduce burnout and enhance well-being and performance. This study highlights the mediating role of burnout in the relationship between psychological capital and two distinct outcomes: health and performance. Thus, this research helps identify further mediators of the relation between PsyCap and health and performance.
Injury Criteria Associated with Soybean Exposure to Dicamba

Abstract Research conducted in the field identified 14 injury criteria associated with dicamba (Clarity® diglycolamine salt) applied at 0.6 to 280 g ae ha-1 (1/1,000 to 1/2 of 560 g ha-1 use rate) to indeterminate soybean at V3/V4 or R1/R2. For each criterion, injury was rated using a scale of 0=no injury, 1=slight, 2= slight to moderate, 3=moderate, 4=moderate to severe, and 5=severe. Greatest crop injury 15 d after treatment (DAT) was observed for dicamba rates of 0.6 to 4.4 g ha-1 for upper canopy pale leaf margins (3.8 to 4.2) at V3/V4 and for terminal leaf cupping (4.1 to 5.0) at R1/R2, and for rates of 0.6 to 8.8 g ha-1 for upper canopy leaf cupping (3.8 to 4.8) and upper canopy leaf surface crinkling (3.4 to 4.4) at V3/V4. Injury 15 DAT was equivalent to the nontreated control for dicamba rates as high as 4.4 g ha-1 for lower stem base swelling at V3/V4 and for upper canopy leaf rollover/inversion and terminal leaf necrosis at R1/R2; for rates as high as 8.8 g ha-1 for leaf petiole base swelling and stem epinasty at R1/ R2, and lower stem base lesions/cracking (V3/V4 and R1/R2 average); and for rates as high as 17.5 g ha-1 for lower leaf soil contact at V3/V4 and leaf petiole droop at R1/R2. The response to increasing dicamba rate observed for the injury criteria was in contrast to the steady increase in visual injury and plant height reduction rated as 0 to 100%. The moderate to severe upper canopy leaf cupping, pale leaf margins, and leaf surface crinkling, and terminal leaf cupping 15 DAT with dicamba at 0.6 to 4.4 g ha-1 corresponded to soybean yield loss of 1% to 9% for application at V3/V4 and 2% to 17% at R1/R2. Nomenclature: Dicamba; soybean, Glycine max (L.) Merr
Physiological response of chickpea (Cicer arietinum L.) at early seedling stage under salt stress conditions

Screening of chickpea lines for salt tolerance through seed germination and early seedling growth is crucial for their evaluation. Seeds of 30 chickpea genotypes were germinated on a sand bed irrigated with saline (3, 6, 9, 12 dS/m) and control solutions upto 30 days. At the early seedling stage (25-30 days), germination percentage, chlorophyll content, proline, root length, shoot length and seedling dry weight were found to be affected due to salinity. Salt tolerance index (STI) for plant biomass maintained a significant correlation with chlorophyll, proline, shoot length, and root length, which indicated that these parameters could be used as selection criteria for screening chickpea genotypes against salt stress. Significant differences in shoot length, root length, and seedling dry weight in 30-day-old seedlings were observed among selected chickpea genotypes as well. From the overall observation of germination characterstics and early seedling growth, it is concluded that the chickpea genotypes, HC-1, HC-5, ICC 867, ICC 5003, H-10-41 showed better salt tolerance as compared to the available salt tolerant check variety.
Hybrid Materials Based on a Terpyridine Carboxylate Ligand: A Method for Introducing Light Harvesting and Auxiliary Metal Centers into Metal-Organic Frameworks

Metal-organic frameworks (MOFs) are attractive canditates for hydrogen storage and photovoltaic applications owing to their extremely high surface area (often exceeding 1,000 m2/g), and tunable chemical functionality. [1-3] Although the hydrogen storage capacity of MOFs has been extensively explored, the design of MOFs for photovoltaic applications is still in its infancy. In this work, a method for introducing light-harvesting and auxiliary metal centers (for hydrogen storage) into metal-organic frameworks is proposed. Toward this goal, nine metal-organic materials based on 4'-(4-carboxyphenyl)-2,2':6',2"-terpyridine[4] (HL) were synthesized and structurally characterized by single crystal X-ray diffraction. Two of these materials which exhibit channels greater than one nanometer in diameter were fully characterized by TGA, EA, and PXRD. Additionally, a number of discrete [M(L)2] complexes were synthesized and the photoactive ruthenium complex, [Ru(HL)2][PF6]2, was reacted with metal salts under solvothermal conditions. Evidence is presented which indicates the air-sensitive crystals produced by reaction of this complex with zinc(II) ions in N,N-dimethylformamide have the same topology as the large-pore metal-organic framework, MOF-5. [5] Further studies to reveal the potential of this type of material in photocells are proposed.
Long-term changes in forest cover in a global biodiversity hotspot in southern Mozambique

Background: Deforestation is a complex and dynamic process of widespread concern in sub-Saharan Africa which is influenced by a range of social, economic and biophysical factors. Objectives: The aim of this study was to analyse patterns of deforestation and its potential drivers in the Licuáti Forest Reserve, a biodiversity hotspot in southern Mozambique between 1990 and 2016. Method: We performed image classification on Landsat imagery at six time steps and interviewed local community members to understand the spatial pattern and rate of forest cover loss over time. We also examined changes in the incidence of fire. Results: A substantial increase in the rate of deforestation since 1990 was detected in this vulnerable thicket vegetation. The probability of deforestation was significantly higher near the major roads, where houses are located. This suggests that the proximity of human settlements to the forest, and access to charcoal markets in urban areas, influenced the spatial pattern. Two key factors 1) charcoal production, and 2) the establishment of settlements and agricultural lands were identified as proximate causes of deforestation. In addition, fires associated with these two causes might amplify the loss of forests in the area. Conclusions: Complex interactions between the drivers of deforestation and socio-economic factors were suggested, as most of the charcoal produced in the region is transported to Maputo. Ongoing road improvements and infrastructural development in the region will likely accelerate the decline in forest cover in the future. This has implications for the biodiversity of the region as well as for the sustainability of local livelihoods, as they often depend on forest products for their daily uses.
Nutrient cycling in multifunctional agroecosystems with the use of plant cocktail as cover crop and green manure in the semi-arid

Plant cocktails used as cover crop present a significant multifunctional resource compared to monoculture, which may increase functional diversity within crop rotation and is particularly effective for designing mixtures with characteristics that increase the multifunctionality and sustainability of the agroecosystem. The objective was to evaluate sustainable agroecosystems models that improve the efficiency of nutrient cycling for crops. The treatments were arranged in four blocks in a split-plot design with two soil management (tillage and no-till) systems and three cropping systems (2 plant cocktails [PCs] and 1 natural vegetation [NV]). C/N ratio, lignin content, dry biomass (DB) production and decomposition, nutrients accumulation and mineralization by PCs and NV were evaluated. Decomposition and release of nutrients were monitored by the litterbag-method. PCs had a DB production twice higher than NV, essential for the adoption of no-tillage systems. The order of nutrient release was K> N> Ca> P> Mg. PCs as cover crops and green manure, with or without predominance of legumes and use of a no-tillage system, could be a technological strategy in agroecosystems for nutrients cycling in semi-arid regions. Keywords: plant mixture, soil management, mineralization rate, macronutrient, sustainable agriculture.
Maintenance of spatial gene expression by Polycomb-mediated repression after formation of a vertebrate body plan

ABSTRACT Polycomb group (PcG) proteins are transcriptional repressors that are important regulators of cell fate during embryonic development. Among them, Ezh2 is responsible for catalyzing the epigenetic repressive mark H3K27me3 and is essential for animal development. The ability of zebrafish embryos lacking both maternal and zygotic ezh2 to form a normal body plan provides a unique model for comprehensively studying Ezh2 function during early development in vertebrates. By using a multi-omics approach, we found that Ezh2 is required for the deposition of H3K27me3 and is essential for proper recruitment of Polycomb group protein Rnf2. However, despite the complete absence of PcG-associated epigenetic mark and proteins, only minor changes in H3K4me3 deposition and gene and protein expression occur. These changes were mainly due to local dysregulation of transcription factors outside their normal expression boundaries. Altogether, our results in zebrafish show that Polycomb-mediated gene repression is important immediately after the body plan is formed to maintain spatially restricted expression profiles of transcription factors, and we highlight the differences that exist in the timing of PcG protein action between vertebrate species. Summary: Our unique zebrafish model of a maternal and zygotic mutant for the Polycomb group gene ezh2 reveals major conserved and divergent mechanisms in epigenetic gene repression during vertebrate development.
ANALYSIS THE IMPLEMENTATION OF SELF DIRECTED LEARNING IN LEARNING ENGLISH FOR SPECIFIC PURPOSE

Self Directed Learning is the actions taken by which the students take initiative with or without the help of others, assess their own learning needs, formulate goals with implementation of appropriate strategies and evaluate learning outcome. This study aims to find out how Students of Nursing at Unika Santu paulus Ruteng, Flores implement self Directed Learning in learning English for Specific Purposes (ESP). It’s mixed method research combining the use of quantitative and qualitative study. For the purpose of quantitative study, it’s used total sampling. Therefore, all 6 th semester students numbered 32 were chosen as the samples of the research. Meanwhile for the purpose of qualitative study, it’s chosen 6 students taken purposively. The research result showed that most students of Nursing Unika Santu Paulus Ruteng 23 (71.9%) implemented medium Self Directed Learning in learning English for Specific Purpose (ESP). It’s furthermore supported by the findings of qualitative study which was elaborated and described based on Self Directed Learning processes namely 1) self learning awareness, 2) planning to learn, 3) learning goal, 4) being discipline to learn, 5) self confident, 6) hard working to learn, and 7) originality. The findings would be the suggestions for school authorities in particular English teacher to plan for applying Self Directed Learning in learning English for Specific Purpose at Nursing Study program Unika Santu Paulus Ruteng, Flores. By knowing earlier the concept and how to apply SDL, students of Nursing have a free will to implement it in learning English.
Digital Goniometer for Measuring 3-Dimensional Neck Movement: Reliability and Validity Test

Neck pain is a common musculoskeletal disorder that affects approximately from 16.7% to 75.1% of world’s population annually. The abilities and quality of life of patients with neck pain were reduced and results in high costs for society. The majority of neck pain is classified as “nonspecific” that have a various factors causing symptoms. Because the goal of intervention for non-specific patients is to improve the mobility of the neck, physical therapists or manual therapists commonly measure the range of motion (ROM) of the cervical spine during physical examination. The evaluation of the ROM of the cervical spine helps to decide the clinical diagnosis, prognosis, and intervention Digital Goniometer for Measuring 3-Dimensional Neck Movement: Reliability and Validity Test
Exploring the Pattern of Voters’ Characteristics: Partial Least Square Analysis

Understanding of characteristics can be assessed either by public decision-makers, who have been the primary concern of political actors or by voters themselves, who have participated directly in the process of election. Therefore, this study focused on the voters’ self-evaluation to look out on the voter decisions with survey questionnaire have been used as the tools to collect the data independently in relation to create formative measurement model. In addition, major influences to the public also involves the role of emotion, political socialization and tolerance to the diversity of media views. This study investigated gender-based patterns of 790 samples using PLS as a data analysis tool, which found interesting result, which suggested that Social Norm (SNorm) have strongest effect to both PCon and PBen with 0.179 and 0.066 respectively followed by Technology Solution (TSol) with 0.057 and 0.022 as well Legal Regulation (LReg) with 0.043 and 0.020 accordingly. Thus, in the developed model, the researcher recommend that social factors can lead to determination of demand and participation in the voting to have public confidence and good behaviour in the protective manner.
Research on Carbon Emission Reduction Effect of China's Carbon Trading Pilot

Carbon emissions trading is one of the important ways to reduce carbon emissions by giving CO2 emission rights a commodity attribute that allows them to trade on the market and to reduce greenhouse gas emissions through the market mechanisms. Based on the interprovincial panel data from 1997 to 2016, this paper constructs a basic theoretical analysis framework to analyze the carbon emission reduction effects of carbon trading policies, adopts PSM-DID to study the carbon emission reduction effects of carbon trading pilots. This study finds that: (1) The implementation of the carbon trading pilot can promote carbon emission reduction, but the pilot provinces and municipalities have different economic development levels, industrial structure and supporting measures adopted after the implementation of the carbon trading pilot policy, resulting in differences in carbon emission reduction effects between pilot provinces. (2) For the seller of carbon emission rights, carbon emission reduction is achieved through three effects of "market return-inducing", "technical innovation incentive" and "government support"; for the buyer, carbon emission reduction is achieved through three effects of "enterprise cost pressure", "process innovation motivation" and "market guiding". (4) The results of traditional PSM-DID further prove that the carbon trading pilot can significantly reduce CO2 emissions.