Miracle-dz/UniFAR-FTUs huggingface dataset:
Is it safe to cross? Identification of 1 trains and their approach speed at level 2

11 Improving the safety at passive rail crossings is an ongoing issue worldwide. These 12 crossings have no active warning systems to assist drivers’ decision-making and are 13 completely reliant on the road user perceiving the approach of a train to decide whether to 14 enter a crossing or not. This study aimed to better understand drivers’ judgements regarding 15 approaching trains and their perceptions of safe crossing. Thirty-six participants completed a 16 field-based protocol that involved detecting and judging the speeds of fast moving trains. 17 They were asked to report when they first detected an approaching train, when they could 18 first perceive it as moving, as well as providing speed estimates and a decision regarding 19 when it would not be safe to cross. Participants detected the trains ~2km away and were 20 able to perceive the trains as moving when they were 1.6km away. Large differences were 21 observed between participants but all could detect trains within the range of the longest 22 sighting distances required at passive level crossings. Most participants greatly 23 underestimated travelling speed by at least 30%, despite reporting high levels of confidence 24 in their estimates. Further, most participants would have entered the crossing at a time when 25 the lights would have been activated if the level crossing had been protected by flashing 26 lights. These results suggest that the underestimation of high-speed trains could have 27 significant safety implications for road users’ crossing behaviour, particularly as it reduces 28 the amount of time and the safety margins that the driver has to cross the rail crossing. 29
A HIDDEN MARKOV MODEL APPROACH FOR LITHOLOGY IDENTIFICATION FROM LOGS

We present a new statistical method of identifying lithologies relying on wireline log measurements made on two holes from the french site of Marcoule. Since several years, statistical techniques have appeared as a powerful tool to classify complex and heterogeneous reservoir lithology: Multivariate Statistics [Doveton (1994)], Discriminant Analysis [Busch (1987)] and, more recently, Neural Networks have been applied to this problem. Concerning Neural techniques, Multilayer Perceptrons (MLPs) are used to classify lithologies, either relying on well-logs directly [Samuel (1992)], or sometimes after using Kohonen Maps to determine the lithologies of the reservoir [Saggaf (2000)]. Also, Self-Organizing Maps have been used to reconstruct the lithologic facies of a drilling hole [Frayssinet (2000), Anouar (1997)].
1 IS ENVIRONMENTAL SUSTAINABILITY A STRATEGIC PRIORITY FOR LOGISTICS SERVICE PROVIDERS ?

Despite an increasing number of third-party logistics service providers (3PLs) regard environmental sustainability as a key area of management, there is still great uncertainty on how 3PLs implement environmental strategies and on how they translate green efforts into practice. Through a multiple case study analysis, this paper explores the environmental strategies of a sample of medium-sized 3PLs operating in Italy and the UK, in terms of environmental organisational culture, initiatives, and influencing factors. Our analysis shows that, notwithstanding environmental sustainability is generally recognised as a strategic priority, a certain degree of diversity in the deployment of environmental strategies still exists. This paper is original since the extant literature on green strategies of 3PLs provides findings predominantly from a single country perspective and mainly investigates large/multinational organizations. It also provides indications to help managers of medium-sized 3PLs in positioning their business. This is particularly meaningful in the 3PL industry, where medium-sized organizations significantly contribute to the generated turnover and market value.
WP / 15 / 100 Does Basel Compliance Matter for Bank Performance ?

The global financial crisis underscored the importance of regulation and supervision to a wellfunctioning banking system that efficiently channels financial resources into investment. In this paper, we contribute to the ongoing policy debate by assessing whether compliance with international regulatory standards and protocols enchances bank operating efficiency. We focus specifically on the adoption of international capital standards and the Basel Core Principles for Effective Bank Supervision (BCP). The relationship between bank efficiency and regulatory compliance is investigated using the (Simar and Wilson 2007) double bootstrapping approach on an international sample of publicly listed banks. Our results indicate that overall BCP compliance, or indeed compliance with any of its individual chapters, has no association with bank efficiency. JEL Classification Numbers: G21, G18, C24
Campus São Gabriel Nathane Rosa Rodrigues Potencial protetor do Extrato de Psidium guajava frente à toxicidade induzida pelo

Chlorpyrifos (CP) is an organophosphate insecticide widely used for control agricultural and household pests. The main damage caused by the CP is the neurotoxicity induced by inhibition of the enzyme acetylcholinesterase, which causes an increase in the neurotransmitter acetylcholine and promotes hiperexitação the central nervous system and muscle junctions, leading to disruption of physiologic function. Occupational exposure is a major form of human poisoning by organophosphates and current therapies for these compounds are not fully efficient. In this sense the search for compounds that can reverse this damage has intensified and some studies have focused their efforts on plants protection purposes or natural compounds in various neuropathological conditions. Psidium guajava is a plant widely used in popular medicine and its antioxidant activity was described in Brazil leaves and fruit are used for anorexia, cholera, diarrhea, digestive problems, dysentery, gastric insufficiency, inflammation of mucous membranes, laryngitis, skin problems, neck pain, ulcers, among others. In this study we evaluated the antioxidant and protective potential of the hydroalcoholic extract of P. guajava (HEPG) against CP induced toxicity in the fruit fly Drosophila melanogaster. HEPG in vitro antioxidant activity was confirmed by ABTS, DPPH, Total Phenolics and FRAP assays. The exposure of flies to CP caused increased mortality, locomotor deficits and inhibition of acetylcholinesterase. Flies exposed to CP presented elevated ROS and lipid peroxidation which was accompanied by a significant decrease in mitochondrial viability. As a response to increased oxidative stress, CP exposed flies showed increased in GST activity and GSH levels. The mRNA expression of NRF2 and MPK2 (which encodes D. melanogaster p38) were also significantly up-regulated. HEPG was able to restore all the damage and biochemical/molecular alterations caused by CP. Our results show for the first time the potential of P. guajava protective effect against the toxicity caused by Chlorpyrifos, suggesting Psidium guajava as an adjunct alternative treatment for poisoning by organophosphorus compounds.
UvA-DARE ( Digital Academic Repository ) Investigating Misophonia : A Review of the Empirical Literature , Clinical Implications , and a

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COMMENT Risk stratification after acute coronary syndromes : Scores , scores and yet another score Estratificação de risco após síndromes coronárias agudas

Identification of high-risk patients soon after an acute coronary syndrome (ACS) event has been a challenge for clinicians in the past two or three decades. Numerous studies have clearly demonstrated that more intensive, even aggressive, management of these patients results in significantly better outcomes, in particular in the reduction of major adverse cardiac events. Both ST-elevation myocardial infarction (STEMI) and nonSTEMI (NSTEMI) patients have been the subject of risk stratification studies and a number of risk scores have been proposed. Some of these scores were tested in populations of clinical trials (of which the TIMI scores are the best known), but others (such as the GRACE score) were derived from large registries, with the obvious advantages of reflecting real-life patients, including older and sicker patients.
Development of Intervention Program based on Grit and Psychological Well-Being to Alleviate Acculturative Stress among Foreign Students

Studying in higher educational institutions can be particularly stressful, even more so if one is in a foreign country away from familiar people and environment. Stress related to acculturation could develop into psychological illnesses if left unaddressed. This study aimed at proposing a psychological intervention program founded on grit and psychological wellbeing to alleviate acculturative stress among international students in the Philippines. Nineteen foreign students were selected as participants for the first phase of the study that confirmed that grit and psychological well-being have a strong positive correlation (r = 0.83). Results further showed, however, that grit and psychological well-being both have a strong negative correlation with acculturative stress (r = -0.90 and r = -0.80, respectively). Five participants from the original roster were randomly selected to join Phase 2 which involved a qualitative investigation of their experiences. The data were thematically analyzed and these results were utilized in the development of an intervention program for foreign students. Levels of the variables were tested post-intervention to measure its effectiveness.
Performance Evaluation of TCP over Multipath Routing Protocol using TCP-DOOR-TS algorithm in Mobile ad hoc Networks

Mobile ad hoc networking is a concept in computer communications, which means that if users want to communicate with each other, they can form a temporary network with out any pre-existing communication infrastructure. Each node participating in the networks acts as host and router in order to transmit, receive and forward packets. In mobile ad hoc networks [MANETs], the wireless mobile nodes may dynamically enter the network as well as leave the network. Due to the dynamic nature of MANET, nodes are typically distinguished by their high degree of mobility and route failure due to frequent link breakages, which affects the end-to-end transmission of data. In order to increase the reliability of data transmission and to reduce delay due to route recomputation, some routing protocols, such as Temporally Ordered Routing Algorithm (TORA), maintain multiple routes between a senderreceiver pair, and use multi-path route to transmit packets. In such a case, packets coming from different paths may not arrive at the receiver in order. Since TCP receiver is not aware of multi-path route, it would misinterpret such out-of-order packet arrivals as a sign of network congestion. TCP performs poorly in this environment, because TCP was previously designed for reliable wired network in which all packet losses are assumed to be due to network congestion. In this thesis by implementing TCP Detection of Out-of-Order and Response with Time Stamp (TCP-DOOR-TS) algorithm, the performance degradation of TCP has been overcome, and it is confirmed that out-oforder packet is really delivered due to multi-path routing protocol. The
Assessing the Added Value of the Intermediate Complexity Atmospheric Research Model ( ICAR ) for Precipitation in Complex Topography

The coarse grid spacing of global circulation models necessitates the application of downscaling techniques to investigate the local impact of a changing global climate. Difficulties arise for data sparse regions in complex topography which are computationally demanding for dynamic downscaling and often not suitable for statistical downscaling due to the lack of high quality observational data. The Intermediate Complexity Atmospheric Research Model (ICAR) is a physics-based model that can be applied without relying on measurements for training and is computationally more efficient than dynamic 5 downscaling models. This study presents the first in-depth evaluation of multi-year precipitation time series generated with ICAR on a 4× 4km grid for the South Island of New Zealand for an eleven-year period, ranging from 2007 until 2017. It focuses on complex topography and evaluates ICAR at 16 weather stations, eleven of which are situated in the Southern Alps between 700m MSL and 2150m MSL. ICAR is assessed with standard skill scores and the effect of model top elevation, topography, season, atmospheric background state and synoptic weather patterns on these scores are investigated. The results 10 show a strong dependence of ICAR skill on the choice of the model top elevation, with the highest scores obtained for 4km above topography. Furthermore, ICAR is found to provide added value over its ERA-Interim reanalysis forcing data set for alpine weather stations, improving mean squared errors (MSE) by up to 53% and 30% on median. It performs similarly during all seasons with an MSE minimum during winter, while flow linearity and atmospheric stability were found to increase skill scores. ICAR scores are highest during weather patterns associated with flow perpendicular to the Southern Alps and lowest 15 for flow parallel to the alpine range. While measured precipitation is underestimated by ICAR, these results show the skill of ICAR in a real-world application, and may be improved upon by further observational calibration or bias correction techniques. Based on these findings ICAR shows the potential to generate downscaled fields for long term impact studies in data sparse regions with complex topography. Copyright statement. TEXT 20
Learning with Augmented Multi-Instance View

In this paper, we propose the Augmented Multi-Instance View (AMIV) framework to construct a better model by exploiting augmented information. For example, abstract screening tasks may be difficult because only abstract information is available, whereas the performance can be improved when the abstracts of references listed in the document can be exploited as augmented information. If each abstract is represented as an instance (i.e., a feature vector) x, then with the augmented information, it can be represented as an instance-bag pair (x, B), where B is a bag of instances (i.e., the abstracts of references). Note that if x has a label y, then we assume that there must exist at least one instance in the bag B having the label y. We regard x and B as two views, i.e., a single-instance view augmented with a multi-instance view, and propose the AMIV-lss approach by establishing a latent semantic subspace between the two views. The AMIV framework can be applied when the augmented information is presented as multi-instance bags and to the best of our knowledge, such a learning with augmented multi-instance view problem has not been touched before. Experimental results on twelve TechPaper datasets, five PubMed data sets and a WebPage data set validate the effectiveness of our AMIV-lss approach.
Measuring Benchmarking Practices via ICSI in Banking Sector

The rapid technology changes are based on current business up-gradation with customer requirement and now none of the organization will be able to think ignorance of innovation according to current need. Innovation &amp; Bench-marking is outlined from Total Quality Management in all sectors. Thought about advancement and continues innovation is now basic need of bench-marking to retain overall customers at local, national as well as global level. Behavior of customer has always been an interesting premise for marketers and Innovators. With the unvarying increase of market, banking sector prove emergent industry in world moving towards India and state level also. This study examines the contentment level of consumer on major National Banks, Private Banks and Foreign bank in India and services provided by them. According to Customer Satisfaction Index propose by America is based on ACSI (American Customer Satisfaction Index) and modifiable with followed is ICSI (The Indian Customer Satisfaction Index) Six parameters for Innovation of Bench-marking in Banking Sectors: Customer Expectation, Perceived Quality, Perceived Value, Customer Complaints, Customer Loyalty &amp; Customer Satisfaction. 10 banks have been covered in India with 740 customers taken in research for analyzing. Study helps to understand the bank is able to perform on bench-marking Standard or not. Exploratory Factor Analysis, Multiple Regression Analysis have used for analysis. The study also analyzes the relationship between deliverance of services and actual customer expectation with the help of exploratory factor analysis and Structural Equation Modeling. The research offers important insights to banks in redefining their corporate image to one that is customer-focused and driven by service quality followed by bench-marking. The results of SEM highlighted the primacy areas of service apparatus. Overall result shown the need of improvement via service quality.
Lacidipine Modulates the Secretion of Matrix Metalloproteinase-9 by Human Macrophages

Activated macrophages within the arterial wall secrete matrix- degrading metalloproteinases (MMPs) that weaken the atherosclerotic plaque and contribute to its fissuration. Preclinical studies have shown that calcium antagonists may reduce atherogenesis in the arterial wall. In the present study we eval- uated the effect of lacidipine on 92-kDa gelatinase B (MMP-9) expression in human macrophages in cultures. Cells were treated for 24 h with lacidipine and the conditioned media were analyzed. Lacidipine (1–20 m M) significantly reduced, in a dose-dependent manner, MMP-9 potential gelatinolytic capacity up to 50%. When MMP-9 expression was stimulated by treatment with phorbol esters or tumor necrosis factor- a , lacidipine was able to inhibit this enhanced gelatinolytic capacity up to 50 and 60%, respectively. Western blot analysis and enzyme-linked immunosorbent assay showed a reduction of MMP-9 protein actually released by cells. The addition of lacidipine in the incubation media determined no significant variation in Ca 2 1 concentration. The drug did not affect MMP-9 mRNA levels, but it effectively reduced the amount of both active and total free MMP-9 secreted by human macrophages. Lacidipine reduced also the secretion of the tissue inhibitor of metalloproteinase-1 (TIMP-1); however we observed an overall reduction of the gelatinolytic activity of the cells. Finally, peritoneal macrophages, obtained from mice treated with lacidipine, showed a reduced secretion of MMP-9. Together, our data indicate that lacidipine may potentially exert an antiatherosclerotic activity by modulating the secretion of MMP-9 by macrophages. This, in addition to the previously demonstrated inhibition of choles- terol esterification, may contribute to increase plaque stability. Ca 10% for from the same day and identical processing. represent the mean 6 of five performed in duplicate.
The Relationship between Internal Branding and Brand Behavior of Bank Employees: Do Employees' Personal Factors Moderate the Relationship

Abstract Internal branding has recently ga-ined much attention in the service marketing literature. However, empirical re-search in this area is still considered sc-arce. The following study examines the effect of internal branding in banks on brand behavior of bank employees. The mediation impacts of role clarity and affective commitment and the mode-ration impacts of employees' personal factors are also examined. A single cr-oss sectional design was used to gather the research data and SEM was used to evaluate the proposed model and test the research hypotheses. Findings indicate that internal branding affects on bank employees' brand behavior is not direct but through its impacts on employees’ role clarity and their affective commitment. Moreover, the length of service of employees in their banks st-rengthens the link between role clarity and employees' brand behavior, while the age of employees has few but different moderation impacts on the examined relationships
J ul 2 01 9 Non-malleable Coding for Arbitrary Varying Channels

Non-malleable codes protect against an adversary who can tamper with the coded message by using a tampering function in a specified function family, guaranteeing that the tampering result will only depend on the chosen function and not the coded message. The codes have been motivated for providing protection against tampering with hardware that stores the secret cryptographic keys, and have found significant attention in cryptography. Traditional Shannon model of communication systems assumes the communication channel is perfectly known to the transmitter and the receiver. Arbitrary Varying Channels (AVCs) remove this assumption and have been used to model adversarially controlled channels. Transmission over these channels has been originally studied with the goal of recovering the sent message, and more recently with the goal of detecting tampering with the sent messages. In this paper we introduce non-malleability as the protection goal of message transmission over these channels, and study binary (discrete memoryless) AVCs where possible tampering is modelled by the set of channel states. Our main result is that non-malleability for these channels is achievable at a rate asymptotically approaching 1. We also consider the setting of an AVC with a special state s∗, and the additional requirement that the message must be recoverable if s ∗ is applied to all the transmitted bits. We give the outline of a message encoding scheme that in addition to non-malleability, can provide recovery for all s∗ channel.
1 PRODUCT VALUATION METHODS : EMPIRICAL STUDY ON SMALL AND MEDIUM SIZE ENTERPRISES

Despite the limits the theory places on product valuation through one or more allocation basis influenced by production volumes, several empirical studies report the use of these methods in various countries. This paradox between theory and practice suggests further research on its causes – why do companies continue to use product valuation methods regarded by the theory as inadequate. The objectives of the present study are: to analyse whether there is a link between what the theory considers adequate product valuation methods and the opinion of the people in charge of management accounting in companies; to identify factors that explain why the same method is considered adequate in some companies and in others not. We interviewed the people in charge of management accounting in 58 industrial companies, situated in eleven Portuguese Districts. This study gives a contribution for the knowledge on management accounting in two ways. In the first place its results allow the conclusion that there is no link between what the theory and the people in charge of management accounting consider as adequate product valuation methods. Secondly, the results obtained fill in a gap in knowledge because the empirical data show the existence of a new variable influencing what those in charge of management accounting consider to be adequate product valuation methods: the way by which those methods were conceived. MÉTODOS DE VALORACIÓN DE PRODUCTOS: ESTUDIO EMPÍRICO EN LA PYME INDUSTRIAL PORTUGUESA