Miracle-dz/UniFAR-FTUs huggingface dataset:
New insider threat detection method based on recurrent neural networks

Insider threat is a significant challenge in cybersecurity. In comparison with outside attackers, inside attackers have more privileges and legitimate access to information and facilities that can cause considerable damage to an organization. Most organizations that implement traditional cybersecurity techniques, such as intrusion detection systems, fail to detect insider threats given the lack of extensive knowledge on insider behavior patterns. However, a sophisticated method is necessary for an in-depth understanding of insider activities that the insider performs in the organization. In this study, we propose a new conceptual method for insider threat detection on the basis of the behaviors of an insider. In addition, gated recurrent unit neural network will be explored further to enhance the insider threat detector. This method will identify the optimal behavioral pattern of insider actions.
Johne’s Disease (Paratuberculosis) in a Crossbred Cow: A Case Report

Johne’s disease (Paratuberculosis) is chronic infectious granulomatous enteritis of domestic as well as wild ruminants caused by Mycobacterium avium subsp. paratuberculosis (Windsor and Whittington, 2010; Sweeney, 2011; Momotani et al., 2012). It is characterized by a long incubation period followed by persistent diarrhoea, progressive emaciation, decreased milk production, oedema, anaemia and death (Harris and Barletta, 2001). Johne’s disease is still incurable due to poor response of MAP organisms to anti-mycobacterial therapy as well as other treatments (Sharif et al., 2013). The present case deals with a paratuberculosis (Johne’s disease) in a crossbred cow. International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 9 Number 1 (2020) Journal homepage: http://www.ijcmas. com
Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification

Convolutional neural network (CNN) has demonstrated impressive ability to represent hyperspectral images and to achieve promising results in hyperspectral image classification. However, traditional CNN models can only operate convolution on regular square image regions with fixed size and weights, and thus, they cannot universally adapt to the distinct local regions with various object distributions and geometric appearances. Therefore, their classification performances are still to be improved, especially in class boundaries. To alleviate this shortcoming, we consider employing the recently proposed graph convolutional network (GCN) for hyperspectral image classification, as it can conduct the convolution on arbitrarily structured non-Euclidean data and is applicable to the irregular image regions represented by graph topological information. Different from the commonly used GCN models that work on a fixed graph, we enable the graph to be dynamically updated along with the graph convolution process so that these two steps can be benefited from each other to gradually produce the discriminative embedded features as well as a refined graph. Moreover, to comprehensively deploy the multiscale information inherited by hyperspectral images, we establish multiple input graphs with different neighborhood scales to extensively exploit the diversified spectral–spatial correlations at multiple scales. Therefore, our method is termed multiscale dynamic GCN (MDGCN). The experimental results on three typical benchmark data sets firmly demonstrate the superiority of the proposed MDGCN to other state-of-the-art methods in both qualitative and quantitative aspects.
Mathematical Models of Ebola Virus Disease and Vaccine Preventable Diseases

Zheng, Yiqiang PhD, Purdue University, August 2016. Mathematical Models of Ebola Virus Disease and Vaccine Preventable Diseases. Major Professor: Zhilan Feng. This thesis focuses on applying mathematical models to studies on the transmission dynamics and control interventions of infectious diseases such as Ebola virus disease and vaccine preventable diseases. Many models in studies of Ebola transmission are based on the model by Legrand et al. (2007). However, there are potential issues with the Legrand model. First, the model was originally formulated in a complex form, leading to confusion and hindering its uses in practice. To overcome the difficulty, the Legrand model is reformulated in a much simpler but equivalent form in this thesis. The reformulated model also provides an intuitive understanding of its parameterization. Second, the underlying assumptions of the Legrand model are not mathematically clear for researchers, which might lead to inadvertent misuse of the model. The assumptions are clearly identified through comparison with three models developed with clear assumptions in this thesis, one of which simplifies to the Legrand model. This three models are also built with more realistic sojourns of epidemiological processes. The comparison among these models also demonstrates the importance of the underlying assumptions as they may provide different implications on control strategies. In addition, a concern about current Ebola models is that many of them consider only infections with typical symptoms, but Ebola presents clinically in a more complicated way. To account crudely for the wide spectrum of clinical symptoms that characterizes Ebola infection, a model is developed including asymptomatic, mild and severe infections. Comparing to the model with only typical symptoms, it shows that modeling the spectrum is important as it could affect estimation of the reproduction
Organizational context and budget orientations: a computational text analysis

Abstract Local governments operate in contexts that significantly vary in their complexity, turbulence, and munificence. Such variations in context have important implications for organizational outcomes and practices, including budgetary orientations. To evaluate public sector organizational practices, we focus on budget functions in California county proposed budgets during 2012–2017. These public documents present a wealth of untapped information, which shed light on a number of key organizational variables of interest. Computational text analysis methods offer a highly generalizable means of tapping into public documents in order to generate objective organizational data. Using budget narratives and a general method for analyzing texts offered by the Latent Dirichlet Allocation (LDA) approach, we assess the relevance of organizational context for control, management, and planning budget functions.
Molecular Detection of Begomoviruses Infecting Some Vegetable Crops in Saudi Arabia

Begomoviruses have a huge impact on crop production worldwide. Investigations of begomviruses in four vegetable crops namely cucumber, squash, tomato, and watermelon were conducted by visual symptoms and molecular analysis using PCR with universal primers for begomoviruses. Obtained sequencing results of the core Coat Protein confirmed the presence of three already reported begomoviral species. TYLCV was detected on tomato samples exhibiting leaf curling and yellowing. Squash and greenhouse-grown cucumber plants were infected with the Oman strain TYLCV-OM. Watermelon chlorotic stunt virus (WmCSV) isolates were detected in watermelon and greenhouse cucumbers. The begomoviral species ToLCPMV shared 99% identity with the Iranian isolates that are known to be very destructive. Integrated pest management should be implemented against whitefly (Bemisia tabaci) to prevent the spread of begomoviruses on vegetable crops.
AT-rich microsatellite loci development for Fejervarya multistriata by Illumina HiSeq sequencing

In our study, a total of 2561 sequences that contained microsatellite loci were found potentially to be used for primer design. Furthermore, Illumina HiSeq sequencing technology identified trinucleotide repeats and AT-rich repeats with the the highest proportion in our genomic DNA sequence library of Fejervarya multistriata. Eighteen new microsatellite loci of F. multistriata were isolated and we characterize these loci genotyping 48 individuals sampled from 3 populations in Lishui City, Zhejiang Province, China. Seventeen loci were polymorphic, with the number of alleles ranging from 2 to 11 within each population. The polymorphic information content, observed and expected heterozygosity ranged 0-0.845, 0-1.0 and 0-0.871, respectively. None of the loci was observed in linkage disequilibrium. One locus (FMA294) was deviated from Hardy-Winberg equilibrium in each population separately and combined. These informative microsatellite loci will be applicable for conservation genetic studies of F. multistriata across varying scales from inter-individual to inter-population.
Risk prediction of cardiovascular diseases and comparison of two prediction models

Background: Cardiovascular diseases (CVD) are the world leading causes of death in non-communicable diseases. The aim of this study is to predict cardiovascular risk and compare two prediction models.Methods: This cross-sectional study involved 440 sample size of beverage industrial participants. The 10-year prediction was processed by World Health Organization/International Society of Hypertension (WHO/ISH) score chart and Framingham general risk score. WHO stepwise questionnaire and biomedical forms was used. Data was collected and analyzed by SPSS 16.0 version.Results: The overall CVD low risk prediction (<10%) by Framingham general risk score (FGRS) and WHO/ISH score chart was 74.5%, 95.4%, respectively while the CVD elevated risk (≥10%) was 25.5%, 4.6%, respectively. Gender CVD risk (≥10%) was 16.1% of male versus 9.3% of female by FGRS while 2.7% of male versus 1.5% of female classified by WHO/ISH. CVD risk increases in both of the models with age but very much in FGRS. 8.4% of employees versus 5.2% of spouses was classified as having the risk of 10-20% by FGRS while WHO/ISH classified 2.5% of employees and 0.9% of spouses as having the risk of 10-20%. FGRS classified 11.7% of all participant as having the risk above 20% while WHO/ISH classified only 1% as having the risk above 20%. Two model’s kappa agreement level was fair or minimal interrater reliability with 0.25 with p value <0.001 and the correlated receiver operating characteristic curve (ROC) curve of FGRS and WHO/ISH of 0.887 area under the curve (AUC), 0.847AUC all with a p value <0.001, respectively.Conclusions: FGRS predicted more risk in participants than WHO/ISH and was with minimal kappa agreement.
Pemertahanan Identitas Karakter Budaya Masyarakat Samin di Desa Margomulyo Bojonegoro

Artikel ini menganalisis perubahan sikap dan identitas budaya Masyarakat Samin di Desa Margomulyo. Fokus penelitian ini pada empat nilai karakter budaya: 1)Tidak mengambil milik orang lain (tidak mencuri); 2) Tidak berbicara kotor (sopan santun); 3) Pendirian kuat ; 4) Jujur. Hasil penelitian bahwa masyarakat Samin Desa Margomulyo yang masih tinggal di desa tersebut masih melestarikan budaya mereka sedangkan masyarakat Samin yang tinggal di luar Desa Margomulyo sebagian besar banyak nilai-nilai budaya mereka telah terdegradasi dari kehidupan. Degradasi tersebut berakibat adanya perubahan sikap masyarakat Samin yang tinggal di luar Desa Margomulyo. Walaupun secara umum ada sekelompok kecil orang yang masih memahami dan atau mempraktikkan tradisi, ada kecenderungan degradasi dalam nilai-nilai budaya. Ada beberapa faktor di balik kecenderungan ini, di antaranya adalah: pendidikan, hidup di kota, tempat kerja, budaya Jawa dan Islam, dan perkawinan campuran, sera pengetahuan dan sains. Menyadari potensi kepunahan dan pentingnya tradisi, beberapa upaya diambil oleh para pemimpin masyarakat samin yang bertujuan melestarikan budaya Samin. Bentuk pemertahanan melalui sosialisasi dalam bentuk ngangsu kaweruh Samin, festifal Kange Yune Samin yang dilakukan bulan sura setiap tahunnya dan tradisi upacara sura yang sesuai dengan perkembangan nilai islami.Kata kunci: budaya, karakteristik, masyarakat samin, pemertahanan identitas.
Computerized “Psychophysical Testing Platform” to Control and Evaluate Multichannel Electrical Stimulation-Based Sensory Feedback

Use of electrical stimulation through implanted neural interfaces makes it possible to selectively activate afferent neurons and provide natural sensory feedback. However, effective stimulation patterns for creating natural sensory feedback are not uniquely characterized in the literature. Thus, there is often a need to evaluate various combinations of different stimulation parameters for specific applications, which can produce a wide range of possible stimulation patterns in a multichannel stimulation system. It makes the use of sensory feedback an impracticable and time-consuming task. We therefore designed and implemented a computerized tool referred to as a “Psychophysical Testing Platform” to easily control multichannel stimulation and characterize the evoked sensations. The tool was tested in a clinical trial including one amputee with the aim to relieve his phantom limb pain (PLP) by manipulation
Effect of pre-game photobiomodulation on muscle recovery in professional soccer players: study protocol for a randomized, cross-over, sham-controlled, triple-blind, clinical trial

Background: Photobiomodulation with low-level laser therapy (LLLT) has been widely used in clinical practice for diverse purposes, such as modulation of the inflammatory process, acceleration of the tissue repair process, pain relief and the enhancement of post-exercise recovery. Studies have demonstrated a beneficial interaction between photobiomodulation and the production of creatine kinase, with a reduction in the release of this marker of muscle damage when laser and/or LEDs is administered prior to high-intensity physical activity. Objective: The aim of the proposed study is to determine the influence of pre-exercise phototherapy on post-exercise muscle recovery. Methods: A randomized, cross-over, sham-controlled, double-blind, clinical trial is proposed. The participants will be healthy professional soccer players aged 15 to 20 years from the same team with a body mass index within the ideal range (20 to 25 kg/m2) and no history of lower limb musculoskeletal injuries or surgery or back surgery in the previous six months. The athletes will be allocated to two groups based on the previously calculated sample size and will be blinded to allocation. Creatine kinase will be measured and the subjective perception of fatigue will be determined for each participant. The volunteers will then be randomly allocated to Group A, which will receive active phototherapy, and Group B, which will receive sham phototherapy. The athletes will undergo reevaluations immediately after as well as 48 hours after a football match. The data will be submitted to statistical analysis and the level of significance will be set to 5%. This study is registered with Clinical Trials under protocol number: NCT03416998.
Postprandial Metabolic Responses to Macronutrient in Healthy, Hyperinsulinemic and Type 2 Diabetic Subjects

The literature comparing macronutrient metabolism in healthy and diabetic subjects is abundant; however, little data exists on how non-diabetic subjects with insulin resistance handle macronutrient. We did two studies to investigate the postprandial responses to macronutrient in healthy, hyperinsulinemic and type 2 diabetic (T2DM) subjects. In the first study, twenty-five healthy, non-diabetic subjects [9 with fasting serum insulin (FSI) <40pmol/L; 8 with 40 ≤ FSI < 70pmol/L; and 8 with FSI ≥ 70 pmol/L] were fed eleven test meals (50g oral glucose with 0-30g doses of canola oil or whey protein) after an overnight fast. There were no significant FSI × fat (p=0.19) or FSI × protein (p=0.08) interaction effects on glucose response, suggesting that the effects of fat or protein on glycemia were independent of FSI of the subjects. In addition, the changes in relative glucose response per gram of fat (r = 0.05, p = 0.82) or protein (r = -0.08, p = 0.70) were not related to FSI of the subjects.
Vertical Turbulent Cooling of the Mixed Layer in the Atlantic ITCZ and Trade Wind Regions

The causes of the seasonal cycle of vertical turbulent cooling at the base of the mixed layer are assessed using observations from moored buoys in the tropical Atlantic Intertropical Convergence Zone (ITCZ) (4 ◦ N, 23 ◦ W) and trade wind (15 ◦ N, 38 ◦ W) regions together with mixing parameterizations and a one-dimensional model. At 4 ◦ N the parameterized turbulent cooling rates during 2017–2018 and 2019 agree with indirect estimates from the climatological mooring heat budget residual: both show mean cooling of 25–30 W m − 2 during November–July, when winds are weakest and the mixed layer is thinnest, and 0–10 W m − 2 during August–October. Mixing during November–July is driven by variability on multiple time scales, including subdiurnal, near-inertial, and intraseasonal. Shear associated with tropical instability waves (TIWs) is found to generate mixing and monthly mean cooling of 15–30 W m − 2 during May–July in 2017 and 2019. At 15 ◦ N the seasonal cycle of turbulent cooling is out of phase compared to 4 ◦ N, with largest cooling of up to 60 W m − 2 during boreal fall. However, the relationships between wind speed, mixed layer depth, and turbulent mixing are similar: weaker mean winds and a thinner mixed layer in the fall are associated with stronger mixing and turbulent cooling of SST. These results emphasize the importance of seasonal modulations of mixed layer depth at both locations and shear from TIWs at 4 ◦ N.
Epidemiology of Nocardiosis -A six years study from Northern India

Objective: To isolate and speciate Nocardia species from clinical samples and to study their antimicrobial susceptibility pattern to different antimicrobials. Various risk factors associated with nocardiosis were also studied. Methods: 32 clinical specimens with clinical history of pneumonia, abscesses, or disseminated infections were collected over a period of 6 years (2009-2014) from Inpatient and Outpatient departments and processed for Nocardia cultures and sensitivity. Results: Twelve cases of nocardiosis were reported out of 32 clinically suspected cases. The mean age of presentation in our study was 57.9 years. Pneumonia was the most common clinical presentation followed by primary cutaneous disease and one case of disseminated disease. 8/ 10 patients with nocardiosis were immunocompromised with history of organ transplantation, use of immunosuppressive agents or steroids. Based on biochemical reactions 5 of the isolates were identified as N. asteroides, 3 N. brasiliensis, 2 N. farcinica and 1 each were N. transvalensis, & N. nova. All were sensitive to linezolid followed by cotrimoxazole (91.6%) Conclusions: With increasing number of immunocompromised patients and an increased incidence of nocardiosis, diagnosis of Nocardia infections should always be kept in mind as it can present with nonspecific symptoms and can mimic confused with other diseases. Linezolid, Cotrimoxazole, imipenem and minocycline were found to be very effective, in vitro, against most Nocardia species. J Microbiol Infect Dis 2016;6(2): 60-64
SAT0766-HPR The factors affecting functional abilities in patients with juvenile idiopathic arthritis

Background Juvenile idiopathic arthritis (JIA) is the most common rheumatic disease in pediatric population and is characterized by a heterogeneous group of diseases that include chronic arthritis of unknown origin, which begins before 16 years of age (1). Patients with JIA commonly experience acute and chronic pain, decreased mobility, and joint stiffness leading to restrictions on functional ability and isolation from their peers (2). Objectives The aim of this study was to assess relationship between clinical features and functional ability and determine the factors affecting functional abilities in patients with JIA. Methods 172 (aged 5–18 years) with JIA were included in this study. Socio-demographic data, clinical features (duration of disease, subtype of JIA, and number of involved joint) and functional ability were assessed with Childhood Health Assessment Questionnaire (CHAQ). Pain and overall well-being were measured using a Visual Analog Scale (VAS). Relations between the factors affecting functional abilities in JIA were assessed by multiple linear regression analysis Results The mean age was 10.71±3.47 and the mean disease duration was 5.41±3.53 years. Score of CHAQ was affected by number of involved joint (β=0.18, p<0.05), subtypes of JIA (β=- 2.75, p<0.01) and pain (β=0.15, p<0.05), but were not affected by age (β=-0.03, p>0.05), gender (β=-0.03, p>0.05) and disease duration (β=0.03, p>0.05). In addition to, significant difference was found between all CHAQ subscores (except of “walking”) of polyarticular and oligoarticular JIA (p<0.001). Functional abilities of patients with polyarticular JIA were lower than functional abilities of patients with oligoarticular JIA. Conclusions In the literature, it reported that functional activities were adversely affected in patients with JIA, when they compared with healthy subjects. In our study, we found that functional abilities were affected by subtypes of JIA, number of involved joint, and pain. But, these were not affected by age, gender, and disease duration in JIA. We suggest that subtypes of JIA, number of involved joint, and pain should be considered, when patients with JIA are directed to physical therapy program to encourage functional abilities. References Prakken B, Albani S, Martini A (2011) Juvenile idiopathic arthritis. Lancet 377:2138–2149. Tarakci, E. , Yeldan, I. , Mutlu, E. K. , Baydogan, S. N. , & Kasapcopur, O. (2011). The relationship between physical activity level, anxiety, depression, and functional ability in children and adolescents with juvenile idiopathic arthritis. Clinical rheumatology, 30(11), 1415. Disclosure of Interest None declared
Terpenoid measurements at a Northern wetland revealed a strong source of sesquiterpenes

Abstract. We have studied biogenic VOC emissions and their ambient concentrations at a sub-Arctic wetland (Lompolojankka, Finland), which is an open, nutrient-rich sedge fen, and a part of the Pallas-Sodankyla Global Atmosphere Watch (GAW) station. Measurements were conducted during the growing season in 2018 using an in situ thermal desorption – gas chromatograph – mass spectrometer (TD-GC-MS). Earlier studies have shown that isoprene is emitted from boreal wetlands and it turned out to be the most abundant compound in the current study also. Monoterpene (MT) emissions were generally less than 10 % of the isoprene emissions, but sesquiterpenes (SQT) emissions were surprisingly high exceeding MT emissions all the time. During early growing season SQT emission rates were about ten times higher than MT emission rates but this difference became smaller as summer proceeded. Isoprene, MT and SQT emissions were dependent on temperature. Isoprene emission rates were also found to be well-correlated with the gross primary production of CO2. Even with the higher emissions from the wetland, ambient air concentrations of isoprene were clearly lower than MT concentrations. This indicates that wetland was not the only source affecting atmospheric concentrations at the site, but surrounding coniferous forests, which are high MT emitters, contribute as well. In May concentrations of SQTs and MTs at Lompolojankka were higher than in earlier boreal forest measurements in southern Finland. At that time the snow cover on the ground was melting and soil thawing and VOCs produced under the snow cover, e.g. by microbes and decaying litter, can be released to the air. Daily mean MT concentrations were very highly negatively correlated with daily mean ozone concentrations indicating that vegetation emissions can be a significant chemical sink of ozone at this sub-Arctic area.