Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of different vegetation types on burnt soil properties and microbial communities

The intensive wildfires recurring in the Mediterranean area modify soil physico-chemical properties, in turn inducing changes in soil microbial abundance and activity. Soils were sampled from burnt and adjacent unburnt sites within Vesuvius National Park 1 year after a large wildfire occurred in summer 2017. The aims of the present study were to evaluate the effects of fires on soil characteristics and to investigate whether different plant types contribute to mitigating or enhancing these effects. The results showed lower organic matter and water content and a higher C/N ratio in burnt than in unburnt soils. In particular, this trend was the same for all the plant types investigated, with the exception of soils covered by black locust tree and holm oak, which showed a higher C/N ratio in unburnt than in burnt soils. In soils covered by holm oaks, a shift in the bacterial and fungal fractions occurred between burnt and unburnt soils, whereas the amount of ammonia oxidisers was notably higher in burnt than in unburnt soils covered by black locusts; the highest N concentration was also measured in burnt soils covered by black locusts. The burnt soils showed a lower metabolic quotient and a higher rate of organic carbon mineralisation compared with unburnt soils, and this trend was particularly evident in soils under herbaceous plants. The findings suggest that soils covered by herbaceous species are more sensitive to fire effects and less able to restore their functionality compared with soils covered by trees.
Development of real-time motion autonomous surface vehicle controlling for coral reef conservation and fisheries

Start Coral reefs are typical ecosystems with underwater beauty. In addition to beauty, there is a function to reduce abrasion, marine biota residence and as well as educational facilities. The current state of coral reef ecosystems in Indonesia is quite alarming, the condition of coral reefs that are in very good condition is 6.39%, good condition is 23.40%, sufficient condition is 35.06% and bad condition is 35.15%. So there needs to be special handling to deal with these damage by using technological developments. Based on these conditions many researches emerged for observation and conservation. One of them is research on the development of conservation aids, the floating of these tools is accompanied by the development of increasingly natural ways of user interaction and tools. Natural interaction is characterized by interactions that transform human movements into direct digital action. Motion Tracking (MT) is one of the implementations of markerless/natural interaction, in which to identify projects is no longer based on certain symbols. MT reads body parts then converted into digital movements. This study aims to develop Real-Time Motion Autonomous Surface Vehicle (ASV) Controlling for Coral Reef Conservation and Fisheries using Fuzzy Algorithms. The tools produced by the study are controlled naturally, so it is expected to facilitate users in operating ASV. This tool is expected to facilitate monitoring and observation for the conservation of marine ecosystems (coral reefs andfisheries).
The role of adipose secreted cytokines in driving the pathological changes in osteoarthritis

Adipose secreted cytokines are thought to contribute to pro-inflammatory state seen commonly in obese individuals, providing a potential metabolic link between obesity and osteoarthritis. The aim of this study is to further our understanding of the role of adipokines within OA by examining the serum and joint fluid adipokine expression profiles in relation to disease severity, BMI, and joint tissue turnover markers. The result of this study show that subchondral bone from overweight/obese hip OA patients exhibited reduced trabecular thickness, increased bone surface/bone volume ratio and an increase in the type I collagen α1/α2 ratio, compared to normal-weight hip OA patients. The serum concentration of resistin was higher in overweight/obese OA patients, compared to normal-weight OA patients (12740 vs 9818pg/mL respectively; p 7 fold, 20-fold, 4-fold and 7-fold respectively). Visfatin significantly increased in catabolic proteases including MMP-1 (4-fold), MMP-2 (3-fold), MMP-3 (3-fold), MMP-7 (2.2-fold), MMP-8 (1.3-fold), MMP-9 (1.2-fold), MMP-10 (1.5-fold), and MMP-13 (5-fold) and localised to areas of cartilage damage. Targeted inhibition of adipokine signalling could therefore be a rewarding strategy for developing a novel therapeutic.
Analysis and Implementation of Ontology Based Text Classification on Criminality Digital News

This research, we search the trend by utillize all information about the criminality type. When the trend has found, the possibility of crime in West Java will decrease. We need to analyse the data to get the information about the criminality trend by using Ontology based Text Classification Method. A news will be grouped into some criminality classes based on the relation around that groups so the process of classification can be done simply and specifically. The criminality trend of West Java is Property Crime with 47,5% of occurrences. We used several testing method such as F1 Score, Precision, Recall, and Accuracy. Based on the methods, the performance of system is running well or not in different point of view. The researcher obtained satisfactory result with F1 score 87,05%, accuracy 86,74%, recall 100% and precision 77,08% with using comparison of composition crime dataset and non-crime dataset is 40 : 40. It happens because testing needs to be done by considering the number of both datasets. The more balance the comparison while do preprocess, the higher accuracy that will get. In order to know whether the system is able to clarify the information accurately and can separate the non-criminal news dataset.
The Risks of Gaining and Losing from Debt According to the Perspective of Men and Women

Debt is a financial service frequently offered by financial institutions. However, decision to be in debt bear risks. According to the prospect theory, when a person is faced with a risk, they will consider the potential gains and losses. Thus, this research was conducted to explore perceptions regarding the gains and losses of incurring debt among men and women. This study involved 94 respondents, consisting of 35 men and 59 women. All respondents filled out open questions regarding the benefits and drawbacks of owing debt. This study utilized grounded theory and qualitative survey methods. Grounded theory was used to conduct axial coding in arranging response categories, while the qualitative survey was used to identify the diversity of respondents’ characteristics. From the result of the analysis, the gain and losses of incurring debt were obtained. The response of women who mentioned the gains of debt had a higher percentage than that of men. Meanwhile, the percentage of men who saw debt as a mean to meet basic needs was higher than that of women. On the other hand, the result showed that there were two types of negative perceptions that formed towards debt, namely psychological loss and financial loss.
Transaction costs magnitudes, market participation, and smallholder profitability in rural-urban vegetable supply chain

ABSTRACT Transaction costs are pervasive barriers in agricultural supply chains as they exclude farmers from profitable markets. Identification of these costs without reliance on proxy variables and their effects on smallholder profitability has not been empirically analyzed. The Heckman 2-step model was used to assess the effects of magnitudes of these costs on farmer profitability. Indirect monitoring and negotiation-related transaction costs had significant, positive, association with selling vegetables directly from urban markets; indirect information transaction costs had a negative association. A positive association between higher indirect information transaction costs and profitability was observed. Better market information systems will improve farmer profitability.
Product Perspective: A Study of User Demand Priorities in Online Community Reviews

In this study, we through the data analysis to obtain a list of user demand and priorities to provide different opinions and recommendations for product design and marketing. The study is divided into two parts, one of which is to build a usefulness model in product perspective, and then use product community reviews as an evaluation corpus and experimental data set. The other is to propose a new feature-sentiment extraction method based on the research status of implicit features, and then select the basic algorithm of random forest as the classification model to combine text mining technology with KANO model for user demand research. Based on this, a new user demand priority calculation method is proposed. According to the study, the user's priority list provides real-time and accurate recommendations for product design and improvement, which is more practical in today's information overload era.
Choosing the Right Stuff: The Psychological Selection of Astronauts and Cosmonauts

Find the secret to improve the quality of life by reading this choosing the right stuff the psychological selection of astronauts and cosmonauts. This is a kind of book that you need now. Besides, it can be your favorite book to read after having this book. Do you ask why? Well, this is a book that has different characteristic with others. You may not need to know who the author is, how well-known the work is. As wise word, never judge the words from who speaks, but make the words as your good value to your life.
TOURISTS’ OR RESIDENTS’ PRIORITY? A DOUBLE PERSPECTIVE ON AN EMERGING TOURIST DESTINATION

The aim of this paper is to examine, evaluate and compare destination image using two independent samples, tourists and residents. A quantitative research has been conducted in Timisoara. The results have been processed using statistical methods and techniques (T-tests and the Pearson Correlation). In this research, a set of cognitive, affective and unique attributes, as well as the overall image, have been evaluated in order to analyze the perceptions, opinions and beliefs. The results indicated that the same tourist destination may be differently perceived by visitors and locals, with significant implications for the destination image and tourists’ behavior.
Association between Resistin and High Sensitive Troponin I in St Elevation Myocardial Infarction and Systolic Heart Failure

Background: Nearly half of all patients with acute myocardial infarction (AMI) have left ventri­cular systolic dysfunction and one-third have symptoms of heart failure (HF). In patients with AMI the resistin level correlated inversely with left ventricular ejection fraction (LVEF). Increased levels of high sensitive (hs) troponin I are associated with poorer prog­nosis. This study aimed to deter­mine the association between levels of resistin and hs troponin I in ST elevation myocardial infarc­tion (STEMI) patients with systolic HF. Subjects and Method: This was a cross-sectional study was conducted at Dr. Moewardi Gene­ral Hospital, Surakarta, from April 1 to May 31, 2018. A sample of 32 patients who admitted which diagnosed with STEMI was selected for this study. They were divided into two group according to result of LVEF mea­sure­ment, LVEF < 40% and LVEF ≥ 40%. Blood examination and transthoracic echo-car­diography were performed to all patients. Cor­re­lation test using partial and multiple cor­relation test. To different 2 mean using Mann Whitney test. Results: Mean of patient age was 59.5 years old. Resistin decreased LVEF (r= -0.41; p= 0.009), and it was statistically significant. Hs troponin I decreased LVEF (r= -0.25; p= 0.081), but it was marginally significant. Resis-tin level and hs troponin I increased LVEF (r= 0.47; p= 0.025), and it statistically significant. Conclusion: There was an association between resistin and hs troponin I level together in STEMI patients with systolic HF. There was an association of resistin levels in STEM I patients with systolic HF. There was no association of hs troponin I levels in STEMI patients with systolic HF. Keyword s : Resistin, hs troponin I, STEMI, systolic heart failure. Correspondence: Trisulo Wasyanto. Department of Cardiology and Vascular Medicine, Faculty of Medicine, Universitas Sebelas Maret/ Dr. Moewardi Hos-pital. Jl. Kol. Sutarto 132, Surakarta 57126, Central Java, Indonesia. Email: trisulo.wasyanto@gmail.com. Indonesian Journal of Medicine (2020), 5(1): 1-9 https://doi.org/10.26911/theijmed.2020. 05.01. 01
On the security of privacy‐preserving authentication scheme with full aggregation in vehicular ad hoc network

Certificateless aggregate signature (CLAS) scheme is a very important cryptographic technique used in many internet of things (IoT) applications like healthcare wireless sensor networks, industrial IoT, smart agriculture, and smart transportation to achieve privacy and integrity of transmitted information, and improved efficiency. Recently, a privacy‐preserving authentication scheme based on CLAS scheme for secure communication in vehicular ad hoc network (VANET) which can achieve complete aggregation was proposed. The authors demonstrated that their scheme is semantically secure in the random oracle model based on the intractability of the computational Diffie‐Hellman (CDH) problem under the consideration of type I and II attacks. However, by giving two concrete attacks, we show that the scheme is insecure in the standard security model. Consequently, we propose a fix by modifying the sign, verify, and aggregate‐verify algorithms of the scheme. Afterwards, we demonstrate that with this modification, the improved scheme is semantically secure against forgery attacks in the random oracle model under the intractability of the CDH problem. An analysis of the performance of the proposed scheme and the related schemes shows the former is much more efficient and suitable for practical application.
Overview of Real-Time Lifetime Prediction and Extension for SiC Power Converters

Remaining useful lifetime prediction and extension of Si power devices have been studied extensively. Silicon carbide (SiC) power devices have been developed and commercialized. Specifically, SiC mosfets have been utilized for the next generation high-voltage, high-power converters with smaller size and higher efficiency, covering various mainstream applications, including photovoltaic systems, electric vehicles, solid-state transformers, and more electric ships and airplanes. However, the SiC-based devices have different failure modes and mechanisms compared with Si counterparts. Therefore, a comprehensive review is critical to develop accurate lifetime prediction and extension strategies for SiC power converter systems. The SiC power device component-level failure modes and mechanisms are first investigated. Different accelerated lifetime tests and component-level lifetime models are then compared. Power converter system-level offline lifetime modeling techniques and software tools are further summarized. Besides, the SiC power converter condition monitoring strategies and health indicators are surveyed. The online measurement challenges are also studied. Furthermore, the system-level lifetime extension strategies are reviewed. By integrating device physics, statistical modeling, reliability engineering, and mechanical engineering with power electronics, this article is intended to provide a comprehensive overview, address existing challenges, and unfold new research opportunities regarding the SiC power converter real-time lifetime prediction and extension.
C-Blondel: An Efficient Louvain-Based Dynamic Community Detection Algorithm

One of the most interesting topics in the scope of social network analysis is dynamic community detection, keeping track of communities’ evolutions in a dynamic network. This article introduces a new Louvain-based dynamic community detection algorithm relied on the derived knowledge of the previous steps of the network evolution. The algorithm builds a compressed graph, where its supernodes represent the detected communities of the previous step and its superedges show the edges among the supernodes. The algorithm not only constructs the compressed graph with low computational complexity but also detects the communities through the integration of the Louvain algorithm into the graph. The efficiency of the proposed algorithms is widely investigated in this article. By doing so, several evaluations have been performed over three standard real-world data sets, namely Enron Email, Cit-HepTh, and Facebook data sets. The obtained results indicate the superiority of the proposed algorithm with respect to the execution time as an efficiency metric. Likewise, the results show the modularity of the proposed algorithm as another effectiveness metric compared with the other well-known related algorithms.
Architecture of the AP2:clathrin coat on the membranes of clathrin-coated vesicles

Clathrin-mediated endocytosis (CME) is crucial for modulating the protein composition of a cell’s plasma membrane. Clathrin forms a cage-like, polyhedral outer scaffold around a vesicle, to which cargo-selecting clathrin adaptors are attached. AP2 is the key adaptor in CME. Crystallography has shown AP2 to adopt a range of conformations. Here we used cryo-electron microscopy, tomography and subtomogram averaging to determine structures, interactions and arrangements of clathrin and AP2 at the key steps of coat assembly, from AP2 in solution to membrane-assembled clathrin-coated vesicles (CCVs). AP2 binds cargo and PtdIns(4,5)P2-containing membranes via multiple interfaces, undergoing conformational rearrangement from its cytosolic state. The binding mode of AP2 β2-appendage into the clathrin lattice in CCVs and buds implies how the adaptor structurally modulates coat curvature and coat disassembly.
The complete mitochondrial genome of Omei Treefrog (Rhacophorus omeimontis)

Abstract In this study, the complete mitochondrial genome of Rhacophorus omeimontis was obtained and described. The sequenced mitogenome is total 19,604 base pairs (bp) in length, which contained 13 protein-coding genes (PCGS), 22 transfer RNA genes (tRNA), 2 ribosomal RNA genes (rRNA), and 2 control regions (D-loop). The overall base composition of the mitochondrial DNA is 32.5% for A, 30.5% for T, 23.3% for C, and 13.7% for G, and the percentage of GC content is 37.0%. The complete mitochondrial genome information of R. omeimontis will contribute to revealing the phylogenetic relationships among species of family Rhacophoridae.
Changes in cerebral blood flow in rheumatology patients treated with rituximab

Objective: We aimed to assess the effects of rituximab therapy on cerebral hemodynamics in rheumatic patients with transcranial Doppler (TCD) ultrasonography. Methods: The study included seven patients aged 20-65 years (2 patients with secondary interstitial lung involvement to rheumatoid arthritis, 3 patients with systemic lupus erythematosus and lupus nephritis, 2 patients with scleroderma and secondary interstitial lung disease) who received rituximab treatment due to rheumatic diseases. Healthy control group (non-rheumatic group) consisted of seven age and sex-matched, randomly selected persons did not have risk factors for atherosclerosis. Bilateral middle cerebral artery peak-systolic, end-diastolic, and mean blood flow velocities, Gosling’s pulsatility index values, and Pourcelot’s resistance index values were recorded with TCD by a neurosonologist before rituximab administration. Control TCD performed to the rheumatic group after six months from the last rituximab dosage. Results: One patient was male and six patients were female. Peak-systolic, end-diastolic and mean blood flow velocities of rheumatic patients were significantly higher than healthy group ( p < 0.001). Peak-systolic, end-diastolic and mean blood flow velocities of rheumatic patients were significantly decreased after rituximab therapy ( p < 0.001). Conclusions: This study highlights that the increased cerebral blood flow is indirectly associated with atherosclerosis regarding persistent inflammation in patients with rheumatic diseases. It was thought that treatment with rituximab could reverse this situation.
Marine Pollution of Chemicals Detergents Contamination Induced Apoptosis and Necrosis in Fish Liver (Sardine aurita) by Flow Cytometry DNA Measurements

Background: Presently, there are wide uses of detergents, which discharged to marine environment (Mediterrean sea). Detergents are organic chemical compounds, consisting of fatty acids, and different components of Alkyl Benzene, Sulphonates, Polyphosphates, Cellulose, Sucrinic acid, and Sodium Lauryl Sulfates. Further, even if at low concentrations, the synthetic detergents are considered to be toxic to marine biodiversity. Since, these surfactants are not completely degraded by waste water treatment. It has ability to damage the DNA and accumulated on fish and other marine organisms. Methods: Flow cytometry technique was applied, because it’s accuracy for analysis of DNA contents. Hence, the present study evaluated the impact of sodium lauryl sulfate as synthetic detergent on the DNA of sardine fish as a marine biological indicator. Sardinella aurita was collected from clean and SLS-contaminated sites. The flow cytometry technique was employed to assess levels of active (apoptosis) and passive (necrosis) cell death in both exposed and unexposed fishes to SLS. Result: Chemical detergent contains 120 ml (i.e., 20mg/L) of sodium lauryl sulfates. The result shows more distinct and significant differences of the early and late apoptosis/ necrosis of Sardine fish liver, compared with unexposed fish samples from cleaned reference site. Conclusions: The present data indicate that SLS was able to cause toxicity to fish. Data recorded revealed that toxicity as a significant accumulation of hepatic tissue cellular DNA during the G0-G1 in a significant way (P<0.05), compared with that of unexposed liver tissue. In the same way, there was an insignificant accumulation of hepatic cell’s DNA in the S phase but not during the G2/M phase, finally there was a significant arrest / DNA accumulation during the PreG1- phase (P<0.05). In the meantime, accompanies of apoptotic profile of cells exposed to SLS showed a significant total apoptotic form significantly elevated compared with reference site.
Multi‐label Image Classification via Coarse‐to‐Fine Attention*

Great efforts have been made by using deep neural networks to recognize multi-label images. Since multi-label image classification is very complicated, many studies seek to use the attention mechanism as a kind of guidance. Conventional attention-based methods always analyzed images directly and aggressively, which is difficult to well understand complicated scenes. We propose a global/local attention method that can recognize a multi-label image from coarse to fine by mimicking how human-beings observe images. Our global/local attention method first concentrates on the whole image, and then focuses on its local specific objects. We also propose a joint max-margin objective function, which enforces that the minimum score of positive labels should be larger than the maximum score of negative labels horizontally and vertically. This function further improve our multi-label image classification method. We evaluate the effectiveness of our method on two popular multi-label image datasets (i.e., Pascal VOC and MS-COCO). Our experimental results show that our method outperforms state-of-the-art methods.