Miracle-dz/UniFAR-FTUs huggingface dataset:
Dynamics, Stability, and Evolutionary Patterns of Mesoscale Intrathermocline Vortices

Abstract : Mesoscale intrathermocline eddies play an important role in transferring heat, salinity, and momentum in large-scale flows, actively influencing the general circulation of the ocean. Nevertheless, the factors controlling the longevity and coherence of mesoscale eddies are much debated. One of the key questions is the relative significance of double diffusion and turbulence in the dispersion of mesoscale variability. Several observational studies have implicated the lateral intrusions, driven by double-diffusive mixing, in the ultimate disintegration of eddies. However, observational limitations precluded unambiguous quantification of the impact of interleaving on the basis of field measurements. To the best of our knowledge, this research presents the first intrusion-resolving numerical simulation of a mesoscale eddy. This study is focused on the dynamics of a Mediterranean eddy (meddy). Double diffusion and turbulence of various strengths are applied to both static and dynamic (rotating) eddies in order to isolate the effects and determine the dominant players. The prominent findings of this study are threefold: (1) Double diffusion is a key process in dissipating an eddy. (2) Lateral diffusivity values calculated from the numerical simulations fall within the range of observed values. (3) A static eddy dissipates in a very different manner from a dynamic eddy, which underscores inherent limitations of intrusion modeling in quiescent background states. Finally, it should be emphasized that while the key physical processes at play are illustrated here on a specific example of meddies, the broader implications of our findings are much more fundamental and far-reaching. It is our belief that this study provides a clue to one of the long-standing problems in physical oceanography, namely, the link between the basin-scale forcing of the ocean by air-sea fluxes and the dissipation of energy and thermal variance at the microscale.
Maximum entropy principle and Landau free energy inequality

ABSTRACT In this paper, the following problem is considered: given two Hermitian matrices H and K and two real numbers x and y, determine a positive semidefinite matrix ρ such that the von Neumann entropy is maximum, subject to the condition that and . This question arises in information theory and in statistical mechanics in connection with the maximum-entropy inference principle. To answer it, we use this principle and numerical range methods.
Severity Assessment, Prognostication and Risk Stratification Using Apache II and CECT in Cases of Severe Acute Pancreatitis in Prospective Study

Purpose: - The present to grade the severity of severe acute pancreatitis using APACHE II scoring, the severity using CECT abdomen, the utility of each as prognostic indicator in Severe Acute Pancreatitis, the prognosis and stratify the risk using both APACHE II and CECT for management of the patient admitted at Chandulal Chandrakar Memorial Medical College and Hospital Kachandur, Durg. Methods: - This prospective study was carried out on patients hospitalized for acute pancreatitis in the surgery department of Chandulal Chandrakar Memorial Medical College Kachandur, Durg. A total of 50 patients with the diagnosis of acute pancreatitis admitted between Jan 2015 to June 2017 were included in the study, out of these 50 patients 36 patients had severe acute pancreatitis and 14 patients had mild acute pancreatitis Patients with history of treatment elsewhere, recurrent episodes in the past were excluded from the study. Patients enrolled in the study were subjected to the study design viz; ongoing APACHE II assessment, CECT on 72 hrs and CECT on 15th day. However certain patients were in the study who could not be subjected to all the 3 parameter because of death / deranged RFT or irregular follow up. Results and Conclusion: - Correlation between APACHE II within 48 hours of admission and Contrast enhanced CT Scan of abdomen in 72 hours had the sensitivity of 78.57% and specificity of 88.89%. Correlation between APACHE II within 48 hours of admission and Contrast enhanced CT Scan of abdomen on 15th day was better with 85.19% sensitivity and 88.89% specificity. Patients with an APACHE II Score of 8 or more within 48 hours of admission had a severe course with a mortality rate of 32.72 % compared to nil mortality rates in those with APACHE II Score < 8. The ease and accuracy of APACHE II Scoring System identified that subset of patients who had Severe Acute Pancreatitis and thereby needed intensive care. Patients with APACHE II score of 8 or more are likely to develop loco-regional complications of pancreatitis like sterile pancreatic necrosis, infected necrosis or WOPN.
Es Implemetatios I Cross-orgaizatioal Settigs: How Should the Busiess Cases Look Like?

This paper describes my PhD research on the development of realistic and innovative business case guidelines that can be used for complex information system implementations, such as cross-organizational ES implementations. I identify problems and solutions related to the issue of assessing the benefits of such complex implementations. Based on a structured literature review, a multidimensional benefit framework was developed. This is used as input into the ES business case guideline development process.
Bio-incidence and Bio-type of Mycobacterium avium subspecies paratuberculosis in diarrheic dairy cattle and buffaloes of Punjab area in India

Dairy cattle and buffaloes (n=101) suffering from chronic diarrhea (>3 weeks) with complete history of duration of diarrhea, systemic effects, body condition and faecal abnormalities were included in this study. Faecal samples, whole blood and rectal biopsies from selected animals were collected for the detection of Mycobacterium avium-subspecies paratuberculosis (MAP). Faecal smears were prepared and examined for the load of acid fast bacilli (AFB). Acid fast clumps were recorded in 40.6 per cent (41/101) of diarrheic animals and PCR confirmation was made byIS900 primers. MAP was detected in blood samples of four animals (4/41), while faecal samples were positive only in two of these 4 animals. All the four animals had persistent watery diarrhea and progressive loss in body weights and productivity. Rectal biopsies of two animals were positive by PCR. Remission of clinical signs was observed in these animals within 2-months. Biotyping of MAP-DNA from blood samples by IS1311 PCR-REA revealed restriction pattern of 67, 218 and 325 bp suggesting that MAP DNA belonged to ‘Bison type’, which is a major biotype infecting domestic livestock in India.
Exenatide prevents diabetic nephropathy in a rat model of type 2 diabetes mellitus (fat-fed and streptozotocin-treated rats)

Diabetic nephropathy (DN) is one of the most serious complications of diabetes mellitus. Our study aims to demonstrate the effectiveness of exenatide, glucagon like peptide-1 receptor agonist, on insulin release and renal functions in type 2 diabetes mellitus (T2DM) rats enduring DN. T2DM was induced in male wistar-albino rats by single streptozotocin injection (40 mg/kg, i.p.) followed by high fat diet for 10 weeks, while the treatment group received exenatide injection (10 μg/kg/day, i.p.) one week after STZ injection along for 9 weeks. Animals were monitored by periodic biochemical testing of fasting serum glucose (FSG), cystatin-C, creatinine and urinary protein levels. At the end of the study (10 weeks) serum total nitrite/nitrate (NOx), adiponectin, C-peptide and amylase activity were investigated. Renal total triglycerides; hydroxy proline (HP), and DNA fragmentation were estimated, as well as renal enzymatic activity and mRNA expression level of glucose-6-phosphatase. Exenatide showed significant reduction in FSG, serum creatinine, cystatinC, and urinary protein levels in diabetic rats. It favored increased serum NOx, serum adiponectin as well as C-peptide which reflects improving in insulin sensitivity and release respectively. Further, exenatide diminished renal DNA fragmentation, decreased renal triglyceride, HP contents, and glucose-6-phosphatase enzyme activity and expression levels in diabetic rats. Our data donate further credence for the effectiveness of exenatide against diabetic renal complications, through different aspects including reduction of renal DNA fragmentation and gluconeogenesis in addition to the previously reported mechanisms.
Propuesta para realización de pruebas de usabilidad “Think Aloud” para personas con discapacidad auditiva-habla

Las pruebas de usabilidad son serie de técnicas utilizadas en el área de Diseño Centrado en el Usuario para evaluar la eficiencia, eficacia y satisfacción de los usuarios finales de páginas web o apps. Dentro de estas técnicas se encuentra la denominada “Think Aloud” la cual consiste en que los sujetos que participan deben comentar en voz alta sus impresiones y pensamientos, sin embargo, existe un sector de usuarios quienes por un problema de discapacidad son excluidos de este tipo de pruebas y ellos son las personas con problemas auditivos y de habla. El presente trabajo describe una propuesta para lograr la inclusión de personas con la discapacidad ya descrita en pruebas de usuario tipo “think aloud”. Las pruebas se realizaron con usuarios pertenecientes a la Asociación de Padres de Personas con Discapacidad Auditiva de Durango A.C México (APADAC).
Document Content Layout Based Exploit Protections

Malware laden documents are a common exploit vector, especially in targeted attacks. Most current approaches seek to detect the malicious attributes of documents whether through signature matching, dynamic analysis, or machine learning. We take a different approach: we perform transformations on documents that render exploits inoperable while maintaining the visual interpretation of the document intact. Our exploit mitigation techniques are similar in effect to address space layout randomization, but we implement them through permutations to the document layout. Using document content layout randomization, we randomize the data block layout of Microsoft OLE files in a manner similar to the inverse of a file system defragmention tool. This relocates malicious payloads in both the original document file and in the memory of the reader program. We demonstrate that our approach indeed subdues in the wild exploits by manual validation of both Office 2003 and Office 2007 malicious documents while the transformed documents continue to render benign content properly. The document transformation can be performed offline and requires only a single document scan while the user-perceived delay when opening the transformed document is negligible. We also show that it is possible to thwart malicious heap sprays by injecting benign content in documents. This approach, however, comes at an expense of computational and memory resources.
Effect of co morbidities on the clinical outcome of Dengue fever

Background: Dengue is the most rapidly spreading mosquito-borne viral disease in the world. A number of Dengue Haemorrhagic Fever (DHF) risk factors had been suggested. However, these risk factors may not be generalized to all populations and epidemics for screening and clinical management of patients at risk of developing DHF/ Dengue shock syndrome (DSS). Methods: A hospital based prospective case control study was done by taking 40 cases each of dengue fever with diabetes mellitus, hypertension, diabetes and hypertension and 30 cases of dengue with asthma/COPD and these patients were compared with controls of 100 patients with dengue fever but no comorbidities. All patients had Dengue serology NS1 or IgM positive.Results: Patients admitted with dengue fever with comorbidities had increased duration of hospitalization with P value of 0.012. The clinical outcome of the 250 patients. In the subgroup of dengue fever patients with DM and Dengue fever with DM and HTN, they were noted to have a 2.69 and 3.06 times increased risk effect of DHF.Conclusions: Dengue fever with DM or DM with HTN have a higher risk of developing DHF when compared with patients with dengue fever with no comorbidities. This finding helps us in triaging patients with comorbidities who develop dengue fever for specialized care and closer clinical monitoring.
A Systematic Review of Empirical Studies on Learning Analytics Dashboards: A Self-Regulated Learning Perspective

This paper presents a systematic literature review of learning analytics dashboards (LADs) research that reports empirical findings to assess the impact on learning and teaching. Several previous literature reviews identified self-regulated learning as a primary focus of LADs. However, there has been much less understanding how learning analytics are grounded in the literature on self-regulated learning and how self-regulated learning is supported. To address this limitation, this review analyzed the existing empirical studies on LADs based on the well-known model of self-regulated learning proposed by Winne and Hadwin. The results show that existing LADs are rarely grounded in learning theory, cannot be suggested to support metacognition, do not offer any information about effective learning tactics and strategies, and have significant limitations in how their evaluation is conducted and reported. Based on the findings of the study and through the synthesis of the literature, the paper proposes that future research and development should not make any a priori design decisions about representation of data and analytic results in learning analytics systems such as LADs. To formalize this proposal, the paper defines the model for user-centered learning analytics systems (MULAS). The MULAS consists of the four dimensions that are cyclically and recursively interconnected including: theory, design, feedback, and evaluation.
Effects of Branched-Chain Amino Acid and Glutamine Supplementation on Angiogenic Factors and Pro-Inflammatory Cytokines after Acute Exercise in Adolescence Athletes

METHODS All 7 adolescent male athletes performed 2000 m rowing exercise after the completion of each of three different 7-day treatments; non-treatment (CO); a total daily dose of BCAA 3.15 g (1.05g×3) (BCAA); or both a total daily dose of BCAA 3.15 g (1.05 g × 3) and glutamine 6 g (2 g × 3) (BC+GLU). There was a 30-day rest period between each treatment. After intake of amino acids for 7 days, the participants completed the rowing exercise on day 8, and their blood samples were collected (at resting state, Rest; immediately after exercise, Ex0; and 30 min after the exercise, Ex30) and were analyzed using ELISA.
Methods to improve certificate linkage and revocation procedures in vehiculat networks.

FERRAZ, L.T. D. Methods to improve certificate linkage and revocation procedures in vehicular networks. 2019. 64 f. Dissertação (Mestrado) Escola Politécnica, Universidade de São Paulo, São Paulo, 2019. Vehicular communication technologies, also called Vehicle-to-everything (V2X) systems, are expected to become common in the future, providing better efficiency and safety in transportation. This envisioned large-scale deployment, however, critically depends on addressing some requirements. For example, to prevent abuse by drivers, messages exchanged among authorized vehicles must be authenticated, which implies the need of a Vehicular Public Key Infrastructure (VPKI). Unlike traditional Public Key Infrastructures (PKIs), though, VPKIs are also expected to preserve the drivers’ privacy; in particular, neither eavesdroppers or system entities should be able to easily identify or track the movements of vehicles using non-revoked certificates. One promising VPKI solution, which copes with such requirements and is among the main candidates for standardization in the United States and Europe, is Security Credential Management System (SCMS). In this thesis, aiming to address shortcomings identified in the SCMS architecture, three main contributions are provided. First, a mechanism for improving the flexibility of revocation is described, allowing certificates and their owner’s privacy to be temporarily revoked in an efficient manner; this functionality is useful, for example, in case a software malfunction is detected and a patch still needs to be released. Second, two birthday attacks against SCMS’s certificate revocation process are detailed and then fixed, thus preventing the system’s security degradation with the number of issued and revoked certificates. Finally, a method is proposed which simplifies SCMS’s system architecture, removing the need for the so-called Linkage Authorities (LAs); this not only reduces the cost for SCMS’s deployment, but also improves its security and privacy due to the removal of one potential point of failure/collusion.
Functional Analysis of Enzyme Families Using Residue-Residue Coevolution Similarity Networks

Motivation Residue-residue coevolution has been used to elucidate structural information of enzymes. Networks of coevolution patterns have also been analyzed to discover residues important for the function of individual enzymes. In this work, we take advantage of the functional importance of coevolving residues to perform network-based clustering of subsets of enzyme families based on similarities of their coevolution patterns, or “Coevolution Similarity Networks”. The power of these networks in the functional analysis of sets of enzymes is explored in detail, using Sequence Similarity Networks as a benchmark. Results A novel method to produce protein-protein networks showing the similarity between proteins based on the matches in the patterns of their intra-residue residue coevolution is described. The properties of these co-evolution similarity networks (CSNs) was then explored, especially in comparison to widely used sequence similarity networks (SSNs). We focused on the predictive power of CSNs and SSNs for the annotation of enzyme substrate specificity in the form of Enzyme Commission (EC) numbers using a label propagation approach. A method for systematically defining the threshold necessary to produce the optimally predictive CSNs and SSNs is described. Our data shows that, for the two protein families we analyse, CSNs show higher predictive power for the reannotation of substrate specificity for previously annotated enzymes retrieved from Swissprot. A topological analysis of both CSNs and SSNs revealed core similarities in the structure, topology and annotation distribution but also reveals a subset of nodes and edges that are unique to each network type, highlighting their complementarity. Overall, we propose CSNs as a new method for analysing the function enzyme families that complements, and offers advantages to, other network based methods for protein family analysis. Availability Source code available on request.
Road Traffic Crash Severity Classification Using Support Vector Machine

Road traffic crash (RTC) is considered among the leading cause of death in many countries in the world and gives negative impact to the social and economic progress. In Nigeria, 13,583 RTC cases were reported in the year 2013 and this figure rising rapidly. Prediction on injuries severity and analysis on accident contributory factors is vital in order to improve either the road condition or the road safety regulation in attempt to reduce fatalities due to RTC. In this paper, a support vector machine model is developed to predict the road crash severity injuries using human, environment and vehicle contributory factors.
The Protective Effect of Saffron (Crocus sativus l.) against Carbon Tetrachloride Induced Toxicity in Some Organs of Albino Rats

Saffron (Crocus sativus L.) has been extensively exploited in folk medicine for the treatment of a number of ailments. Free radicals propagation has been implicated in carbon tetrachloride (CCl4)-induced toxicity, which is involved in lipid peroxidation (LPO). The present study was planned to evaluate the efficacy of saffron on CCl4-induced injuries in some organs of rats. Thirty male albino rats were used in the current study and divided into three groups; control, CCl4 group (0.5 ml/kg body wt.) and CCl4 + saffron (20 mg/kg body wt.). Specimens from livers, kidneys and lungs were taken for biochemical and histopathological studies. The results showed that the activities of superoxide dismutase (SOD) and catalase (CAT), in addition to the concentration of glutathione (GSH) were decreased while malondialdehyde (MDA) level was increased after CCl4 administration. Also, different morphological changes and marked expression of Bax protein were detected. Treatment with saffron extract was effectively alleviated the alterations in the biochemical markers and morphological structure of liver, kidney and lung. The present study confirms the restoration of normalcy and accredits the ameliorative role of saffron against CCl4-induced toxicity.
A wideband dielectric resonator antenna array using air‐bridgeless coplanar waveguide power divider

In this communication a 2 × 2 dielectric resonator antenna (DRA) array is proposed with a wideband frequency response. An air bridgeless coplanar waveguide (CPW) power divider network is first time used to feed the 2 × 2 DRA array. Four rectangular DRAs are used as array element and exited in TE111 mode by four slots at the end of the CPW lines in the feed network. The straight CPW phase delay line in feed network is further meandered resulting an enhanced radiation performance. The proposed DRA array exhibits a wideband response with an impedance bandwidth of 16% while maintaining a stable broadside radiation pattern with the gain range from 8 to 9.4 dBi. The proposed design is fabricated and measured, reaching good agreement with simulation results.
DOCUMENT RE-RANKING BASED ON DOCUMENT CONTENT AND CONTRIBUTOR SCORE

This research proposed a new method for re-ranking documents by considering important information from the document content and also used contributors score. Each contributor is given a score which is a competency assessment. Assuming that more articles are written by contributors, it means that the contributors are considered to be more competent. The architecture of the proposed method includes: indexing, document selection in accordance with the input query, and re-ranking process. The re-ranking process consists of two phases, i.e. weighting and ordered documents. From the testing results known that there is a differences in the ordered document which have an effect on the relevance of the search results. In addition, there are also differences in the number of selected documents. This shows that using the proposed method can expand the search results.
CANDIDATE LINKGENERATIONUSING SEMANTIC

Requirements tracing of natural Language artifacts consists of document parsing, Candidate Link Generation, evaluation and analysis. Candidate Link Generation deals with checking if the high-level artifact has been fulfilled by the low-level artifact. Requirements traceability is an important activity undertaken as part of ensuring the quality of software in the early stages of the Software Development Life Cycle (SDLC). The Semantic Relatedness between the terms is not considered in the existing system; hence the Candidate Link Generation is not effective. In the proposed system, a hybrid technique combining both the Semantic Ranking and Pheromone Swarm is implemented. Simple swarm agents are given freedom to operate on their own, determining the search path randomly based on the environment. Pheromone swarm agent decides on what term to select or what path to take is influenced by presence of pheromone markings on the inspected object. Semantic Graph is constructed using semantic relatedness between two terms, computed based on highest value path connecting any pair of the terms. The performance is evaluated with Simple, Pheromone and Semantic Pheromone Swarm techniques. The Semantic Pheromone Swarm provides better results when compared to Simple and Pheromone Swarm Techniques.