Miracle-dz/UniFAR-FTUs huggingface dataset:
Reliability assessment on maximum crack width of GFRP-reinforced concrete beams

The suggested provisions in guideline ACI 440.1R-06 for predicting the maximum crack width of GFRP-reinforced concrete beams are assessed from the probabilistic point of view by the Rackwitz-Fiessler method. The assessment indicates that the global average reliability index is 0.57, meeting the target reliability index of serviceability ultimate state. Effective-height-to-height ratio, d/h, width, b, and height-to-width ratio, h/b, are the first three dominating influencing factors on reliability level. The average reliability index is basically independent of relative FRP reinforcement ratio, η. The effect of load effect ratio, α, on reliability level is also significant and the index tends to converge at β=0.58. The parametric study on the bond-dependent coefficient, kb, indicates that its mean does not put any effect on reliability level while its C.O. V. is rather significant. As the C.O. V. of kb increases from 0.05 to 0.20, the average index decreases from 0.53 to 0.41. The limit of the maximum crack width, [w], is shown to be no relations with reliability level. Specification on the limit of maximum allowable crack width is dependent only on the consideration of durability and visible tolerance.
BLP Estimation Using Laplace Transformation and Overlapping Simulation Draws

Abstract We derive the asymptotic distribution of the parameters of the Berry et al. (1995) (BLP) model in a many markets setting which takes into account simulation noise under the assumption of overlapping simulation draws. We show that as long as the number of simulation draws R and the number of markets T approach infinity, our estimator is m = m i n ( R , T ) consistent and asymptotically normal. We do not impose any relationship between the rates at which R and T go to infinity, thus allowing for the case of R ≪ T . We provide a consistent estimate of the asymptotic variance which can be used to form asymptotically valid confidence intervals. Instead of directly minimizing the BLP GMM objective function, we propose using Hamiltonian Markov Chain Monte Carlo methods to implement a Laplace-type estimator which is asymptotically equivalent to the GMM estimator.
Synthesis , characterization and antidiabetic studies of Co ( ii ) glimepiride complex

Cobalt complex of glimepiride was synthesized by reaction of glimepiride with cobalt (II) chloride hexahydrate. The metal complex was characterized based on elemental analysis, UV, IR, and C NMR spectroscopy. The elemental analysis result where in agreement with the calculated values, the electronic spectrum of the ligand showed intra ligand charge transfer (ILCT) which was assigned to the chromophores present in the ligand. The electronic spectrum of the complex suggested intra ligand charge transfer (ILCT), ligand to metal charge transfer (LMCT), and d-d transition. IR spectrum of cobalt complex showed the involvement of two carbonyls in coordination to the metal complex. This shows that glimepiride acted as a tridentate ligand in the cobalt complex. C NMR spectrum of the cobalt complex showed the involvement of the pyrrole ring in coordination to the metal ion. The structure of cobalt complex was assigned as octahedral in which the lig and molecules lies horizontally joining the central metal atom. The metal complex showed remarkable hypoglycemic activity as compared with the parent drug ligand in alloxan induced albino rat. After 8 hours of experimental time, cobalt metal complex showed significant reduction in blood sugar level more than glimepiride (Co glimepiride complex 217.50±21.93 to 134.25±10.90), and (glimepiride drug 258.25±25.38 to 187.75±18.71). The metal complex had eligibility to lower blood glucose for more duration of time even after 21 days of experimental time than glimepiride drug (Co glimepiride complex 121.25±1.50 to 93.00±3.46), and (glimepiride drug 122.50±2.51 to 100.25±2.87), and hence showed more hypoglycemic activity. © 2017 ijrei.com. All rights reserved
Employees ’ Job Satisfaction on Accomplishing Routine Tasks : A Study of Programme Assistants in the Northern Provincial Council , Sri Lanka

Job satisfaction describes feelings and attitudes of employees generate towards their jobs. The objective of this research study is to ascertain the levels of job satisfaction and analyzing the predictors of job satisfaction experienced amongst the programme assistants in the Northern Provincial Council (NPC). For the purpose, 137 programme assistants (N=137) were sampled by using stratified random sampling method. The questionnaire measures job satisfaction on six job facets in three dimensions, namely, extrinsic factors: pay, promotions, supervision; General factors: coworkers, working condition, and Intrinsic factor: work itself. This study found that Programme Assistants of NPC were not satisfied with their jobs in key facets. Therefore Provincial Council should take measures to restructure promotion system, appropriate salary scale and providing other pay benefits. Further, NPC should consider improving working conditions, and nature of work.
Secure Communication Protocol : Application to Large Number of Distributed Sensors

Supervisory control and data acquisition (SCADA) systems control many of our critical industrial infrastructures. Currently, most SCADA systems are considered insecure due to their lack of security measures. The increased number of connections between SCADA systems along with other factors, caused an augmentation in the threats and attacks on SCADA. Many solutions were proposed to secure SCADA communications. However, any undertaken security measure while communicating unencrypted messages would not be robust in case of attacks. The numerous embedded devices used in SCADA make it hard to consider classic cryptography, although, some SCADA systems already implemented such algorithms. In this paper, we present a new approach to secure SCADA communications by using dynamically modified signals instead of plain or encrypted messages. Our solution can be implemented in low cost electrical chips (used on sensors, switches, etc.) or as a software (used on servers, etc.). The Reconfigurable Information Transmitter Agent (RITA) protocol that we present can also be used to secure any type of communication that respects the protocol’s constraints. The solution, while still lacking the necessary analysis to ensure its security level, is promising. This approach is planned to be implemented on a large number of distributed underwater sensors.
Malignant catarrhal fever in a calf in Espírito Santo State, Brazil: report of the first case

A case of malignant catarrhal fever (MCF) is described in a 9-month-old, male, mixed breed calf from Espirito Santo State, southeastern Brazil. MCF had not yet been described in this region. The clinical course was 5 days and clinical signs included proprioceptive deficits, depression, dyspnea, coughing, nasal discharge, and erosive-ulcerative lesions in the oral cavity. Necropsy findings included erosive-ulcerative lesions in the alimentary tract and bronchopneumonia. Histopathological exam revealed widespread lymphoplasmacytic vasculitis associated with fibrinoid necrosis of vessel walls, mainly in the vessels of carotid rete mirabile. The diagnosis of MCF was made based on clinical, necropsy and histological findings.
Malliavin Greeks for complex Asian options in a jump diffusion setting

We deal with a unifying Malliavin calculus in a jump diffusion context and develop an integration by parts formula giving the starting point of our work. The results are then applied to study representation formulas for the delta of complex Asian options, that is written on both the component of the pair Zt = (Xt, Yt), X standing for a jump diffusion process and Yt = ∫ t 0 Xrdr. Several examples are detailed and equipped with numerical studies.
Deep & Machine Learning Approaches to Analyzing Gender Representations in Journalism

Analysis & Conclusion References Journalism plays a key role in modern society and is widely regarded as a crucial component of a functioning democracy. However, despite increasing social pressure in support of equality of the sexes, men and women continue to be represented differently in the news. Not only are men more frequently the subject of journalistic articles than women, but the way men and women are talked about in the news differs. Our goal is to employ natural language processing and deep learning to delve more deeply into this phenomenon.
Optimization of camptothecin production and biomass yield from endophytic fungus Fusarium solani strain ATLOY-8

Fusarium solani strain ATLOY-8, a fungus that produces camptothecin (CPT) was isolated from Chonemorpha fragrans (Moon) Alston. The process of optimization of the camptothecin yield was optimized by means of the traditional methods and analytical tools. Using the Box–Behnken design (BBD) matrix at N = 17, three independent variables were optimized designated using one factor at a time (OFAT) method, for improved CPT and biomass production. The BBD exhibited 1.4and 1.2-fold increase of CPT production and biomass yield, respectively, compared to OFAT approach in the basal medium containing absolute ethanol (5%), glucose (1%), and precursors (a combination of tryptophan, geraniol, and tryptamine; 0.03%). Analysis of variance showed the elevated coefficient of determination (R2) of 0.9751 and 0.9980, respectively, for CPT and biomass yielding at a significant level (p > 0.05). Three dimensional graphs revealed dependent synergy between two variables to improve the CPT and biomass yield.
Differences in sound absorption of samples with periodic porosity produced using various Additive Manufacturing Technologies

With a rapid development of modern Additive Manufacturing Technologies it seems inevitable that they will sooner or later serve for production of specific porous and meta-porous acoustic treatments. Moreover, these new technologies are already being used to manufacture original micro-geometric designs of sound absorbing media in order to test microstructure-based effects, models and hypothesis. In the view of these statements, this work reports differences in acoustic absorption measured for porous specimens which were produced from the same CAD-geometry model using several additive manufacturing technologies and 3D-printers. A specific periodic unit cell of open porosity was designed for the purpose. The samples were measured acoustically in the impedance tube and also subjected to a thorough microscopic survey in order to check their quality and look for the discrepancy reasons.
DAMPAK PEMANASAN GLOBAL TERHADAP RISIKO TERJADINYA MALARIA

Perubahan suhu global akan berdampak pada perubahan iklim dan akan menambah daftar risiko kesehatan lingkungan bagi manusia. Paparan terhadap perubahanperubahan lingkungan di atas dapat menimbulkan berbagai problem kesehatan, seperti penyakit-penyakit terkait suhu dan cuaca ekstrim, penyakit yang menular lewat makanan, air dan vektor serta penyakit akibat pencemaran udara.
Total Amount of Energy by Radiofrequency Ablation may Predict Local Recurrence of Hepatocellular Carcinoma

Background/Aims: Local recurrence of hepatocellular carcinoma after radiofrequency ablation (RFA) remains an important limitation. However, predictors for local recurrence by therapeutic procedures with RFA have not been investigated sufficiently. In current study, we evaluated factors associated with local recurrence after RFA using Cool-tip RF system with a single needle electrode. Methods: Between January 2010 and April 2013, RFA was performed in 89 hypervascular hepatocellular carcinoma nodules ≤20 mm in diameter using Cool-tip RF system. Factors associated with local recurrence were analyzed for nodules with sufficient ablative margin after RFA. Treatmentassociated factors evaluated included RFA maximum output, final temperature, frequency of breaks, and total amount of energy used; background factors included alpha-fetoprotein (AFP), desgamma-carboxy prothrombin (DCP), total bilirubin, albumin and prothrombin activity (PT) levels. Results: Univariate analysis showed that RFA maximum output and total amount of energy as treatment-associated factors and DCP levels as a background factor were associated with local recurrence. Multivariate analysis revealed that only total amount of energy was the significantly correlated with local recurrence. Conclusion: This study indicates that RFA using Cool-tip RF system may decrease local recurrence in hypervascular hepatocellular carcinoma ≤ 20 mm by achieving total amount of energy.
Análise facial subjetiva

INTRODUCTION: facial analysis has been an important diagnostic method since the beginning of Orthodontics. Many authors have tried to define references of beauty to be reached with orthodontic treatment. This preoccupation is in accordance with patient expectation with orthodontic treatment. The main motivation for them is esthetic improvement. To solve it successfully orthodontists must know witch parameters the population use for esthetic evaluation. With suggest, through this paper, the Subjective Facial Analysis, esthetic and morphologic. AIM: to evaluate the application of the analysis proposed. METHODS: it was asked a heterogeneous group (14 orthodontists, 12 laymen, 7 artists) to classify 100 photographs of facial profile as esthetically pleasant (grades 7, 8 or 9), acceptable (grades 4, 5 or 6) or unpleasant (grades 1, 2 or 3). Eigthy nine percent of the sample was esthetically acceptable, 8% esthetically unpleasant and 3% esthetically pleasant. The nose and the chin were the structures of the facial profile more frequently related by appraisers (38.35% and 18.9% respectively) as responsible for the unpleasant esthetic appearance. CONCLUSION: subjective Facial Analysis is a diagnostic tool, important because is the parameter used by patients and relatives to evaluate the results of orthodontic treatment.
An Ultra-Short Baseline Positioning Model Based on Rotating Array & Reusing Elements and Its Error Analysis

The USBL (Ultra-Short Base Line) positioning system is widely used in underwater acoustic positioning systems due to its small size and ease of use. The traditional USBL positioning system is based on ‘slant range and azimuth’. The positioning error is an increasing function with the increase in distance and the positioning accuracy depends on the ranging accuracy of the underwater target. This method is not suitable for long-distance underwater positioning operations. This paper proposes a USBL positioning calculation model based on depth information for ‘rotating array and reusing elements’. This method does not need to measure the distance between the USBL acoustic array and target, so it can completely eliminate the influence of long-distance ranging errors in USBL positioning. The theoretical analysis and simulation experiments show that the new USBL positioning model based on ‘rotating array and reusing elements’ can completely eliminate the influence of the wavelength error and spacing error of underwater acoustic signals on the positioning accuracy of USBL. The positioning accuracy can be improved by approximately 90%, and the horizontal positioning error within a positioning distance of 1000 m is less than 1.2 m. The positioning method has high precision performance in the long distance, and provides a new idea for the engineering design of a USBL underwater positioning system.
Robust Control for Regulating Frequent Bus Services: Supporting the Implementation of Headway-based

245 words) 1 Reliability is a key determinant of the quality of a transit service. Control is needed in order to de al with the stochastic 2 nature of high-frequency bus services and to improv e service reliability. In this study, we focus on h olding control, 3 both scheduleand headway-based strategies. An ass essment framework is developed to systematically as sess the 4 effect of different strategies on passengers, the o perator and transport authority. This framework can be applied by 5 operators and authorities in order to determine wha t holding strategy is most beneficial to regulate h eadways, and thus 6 solve related problems. In this research knowledge is ained about what service characteristics affect the performance 7 of holding strategies and the robustness of these s trategies in disrupted situations, by using scenari os. The framework 8 is applied to a case study of a high-frequency regi onal bus line in the Netherlands. Based on the simu lation results, we 9 identified the line characteristics that are import ant for the performance of scheduleand headway-ba sed strategies 10 and determined how robust different strategies are in case of disruptions. Headway-based control strat egies better 11 mitigate irregularity along the line, especially wh en there are disruptions. However, schedule-based c ontrol strategies 12 are currently easier to implement, because it does n t require large changes in practice, and the perf ormance of both 13 strategies is generally equal in regular, undisrupt ed situations. In this paper, insights into what th e concerns are for 14 operators with respect to technical adaptations, lo gistical changes and behavioral aspects when using a headway-based 15 strategy are given. 16
The Unexpected Positive Impact : Policy Uncertainty and Stock Price Crash Risk

We document that policy uncertainty reduces stock price crash risk. We show that policy uncertainty encourages trading from pessimistic investors. Our finding is consistent with the information blockage model of Cao, Coval and Hirshleifer (2002), which predicts that stock price crash risk is lower when pessimistic investors’ opinions are incorporated in prices. Using both the IV approach and close gubernatorial elections as quasi-natural experiments to address endogeneity concerns, we show robust evidence to support these findings. _____________________ a Email: yxi@ku.edu This version: January 2018
Unfolding the mystery: Rare presentation of Japanese encephalitis as catatonia

Catatonia is a syndrome of specific motor abnormalities, closely associated with disorders of mood, thought, and cognition. The principal symptoms of catatonia are mutism, immobility, negativism, posturing, stereotypy, and echo phenomena. Catatonia occurs in various psychiatric illnesses as well as medical disorders like infections of the central nervous system such as encephalitis, autoimmune disorders, cerebrovascular events, systemic metabolic disturbances, and toxic drug states. Catatonia may often mislead the clinician and the patient may be misdiagnosed as primarily suffering from a psychiatric disorder and be treated accordingly. Encephalitis may present with various psychiatric symptoms including catatonic features as its sequel that may sometimes be misunderstood as a primary psychiatric disorder. We highlight a case of a young female in her postpartum period, who presented with initial aggressive behavior and sleep deprivation followed by features of catatonia accompanied with fever. She initially responded well to benzodiazepines; however, her subsequent response was poor. When she was subjected to neuroimaging, it revealed signal intensity alteration in the bilateral basal ganglia and temporal regions suggestive of encephalitis; cerebrospinal fluid (CSF) viral markers examination revealed immunoglobulin M (IgM) positivity for Japanese encephalitis (JE). This case report highlights the diagnostic dilemma and management issues of a case of JE with catatonic symptoms.
A Comparative Analysis of the Strength of Co-authorship Ties in Clusters

Clustering algorithms have been applied in social networks to investigate the presence of different patterns, such as group formation, team productivity and research area concentration. Here, we analyze the strength of ties dynamism through three different clustering algorithms (Louvain method, clique percolation method and Markov cluster algorithm) applied to co-authorship social networks from three different research areas. Such study reveals if tie strength metrics can be used to evaluate clusters quality. We obtain different results for each algorithm and observe that Markov cluster algorithm provides the best results for co-authorship social networks. Also, researchers in overlapped communities detected by clique percolation method work as bridges. This Technical Report is for local use only. A short version was published at AMW 2017.
Evaluation of the Effectiveness of Cochlear Implant According to Age of Implantation

Evaluation of the Effectiveness of Cochlear Implant According to Age of Implantation Pérez-Jorge David*, Rodríguez-Jiménez María del Carmen, Alegre de la Rosa Olga María and Marrero-Morales Ma Sandra Faculty of Education, Department of Didactics and Educational Research, Universidad de la Laguna (ULL), Tenerife, Canary Islands, Spain. Faculty of Health Sciences, Department of Modern Languages, Universidad de Las Palmas de Gran Canaria (ULPGC), Las Palmas, CanaryIslands, Spain.
Self-Efficacy of Prospective Teachers in Relation to Gender and Academic Achievement

Perceived self-efficacy is a significant determinant of performance that operates partially independently of underlying skills. It involves a generative capability in which one must organize cognitive, social and behavior skills into integrated courses of action. Over 501 secondary prospective teachers (B.Ed. students) from eight private B.Ed. Institutions of Himachal Pradesh were selected using simple random sampling. The instrument used in this study is Hindi version of Swarzer’s General Self-Efficacy Scale which was adapted by the researchers. Results indicated that male prospective teachers were having higher level of self-efficacy than their counterpart female prospective teachers. Also, there was no significant difference in selfefficacy of high and average achieving groups but there exited significant differences in self-efficacy among high & low and average & low groups of prospective teachers. Further, prospective teachers with high academic achievement had significantly higher level of selfefficacy than low achievement group and average achievers were also significantly higher on self-efficacy than low achievers.
CAP: Context-Aware Programming for Cyber Physical Systems

Context-awareness is a prominently desired feature in computing systems. Smartphones, smart cards or tags, wearables, sensor nodes, and many other devices enable a system to compute context for different users and environment. With ever increasing advances in hardware for such devices, the interactions with users are increasing every day. This enables the collection of a large amount of data about users, systems, and physical environment. With such data available to be leveraged, context-awareness will soon become a necessity. Such type of data collection happens most frequently in sensing applications enabled by wireless sensor network (WSN) devices. This paper discusses the concept of context for sensing applications, specifically related to Cyber Physical Systems (CPS). The paper highlights key aspects of context and its definition. This paper proposes, to the best of the author’s knowledge, the first programming approach to build context-aware applications for WSN-based CPS. This paper provides a proof of concept for a framework to detect, manage and deploy context-aware applications.
Lack of Correlation Between the Spatial Distribution of A 2 E and Lipofuscin Fluorescence in the Human Retinal Pigment Epithelium

Department of Ophthalmology, Medical University of South Carolina, Charleston, South Carolina New York Drug Testing & Research Program, Ithaca, New York Department of Biochemistry, Vanderbilt University School of Medicine, Nashville, Tennessee Department of Optometry and Vision Science, University of Auckland, Auckland, New Zealand Center for Coastal Studies, Texas A&M University, Corpus Christi, Texas Department of Molecular and Experimental Medicine, The Scripps Research Institute, La Jolla, California