Miracle-dz/UniFAR-FTUs huggingface dataset:
A descriptive analysis of the linkage between the vertical stratification and current oscillations in the Gulf of Finland

The data from five ADCP deployments with duration from one to several months in various locations of the Gulf of Finland were analyzed. The observations revealed that the shear maxima of current velocity were strongly linked to the pycnoclines — the seasonal thermocline or vertical salinity gradient. The shear maxima were not detected when the quasi-permanent halocline temporarily vanished in winter due to strong SW winds causing reversed estuarine circulation in the gulf. The kinetic energy spectra of currents revealed the energy maxima at a broad semi-diurnal frequency band, broad diurnal frequency band, and low-frequency seiches band. In the periods of strong wind forcing and weak stratification, the current oscillations coincided with different modes of seiches. During the periods of the twoor three-layer flow in summer, the inertial oscillations were dominating in the upper layer while seiches could be more prominent either in the upper layer or the halocline.
The Functions of Language in Shaping Tourism Information

Providing tourists with sufficient information is one of the most crucial tasks to tourism operators. One way of achieving the goal is by means of language. This paper thus aims to discuss the functions of language in shaping various types of information to cater tourists’ diverse needs. In this study, a survey and interview were conducted to gauge the types of information which tourists perceive important and, in addition, text analysis was carried out on tourism brochures, websites and tourist information boards to grasp the functions of language in realising such messages. A total of 155 questionnaires with Cronbach’s alpha of 0.876 was used for the data analysis and the findings show that the most important information needed is on security and safety followed by attractive and appealing destinations, available facilities and public transportation. In addition, the important information on tourism commodities that tourists need is about Malaysian people in general which includes cultures and history. Similarly, the findings of text analysis highlight that the language use in tourism promotional materials is geared towards foregrounding those types of information. However, not all types of information needed by tourists are given equal attention.
Feature Selection in Big Data by Using the enhancement of Mahalanobis–Taguchi System; Case Study, Identifiying Bad Credit clients of a Private Bank of Islamic Republic of Iran

The Mahalanobis-Taguchi System (MTS) is a relatively new collection of methods proposed for diagnosis and forecasting using multivariate data. It consists of two main parts: Part 1, the selection of useful variables in order to reduce the complexity of multi-dimensional systems and part 2, diagnosis and prediction, which are used to predict the abnormal group according to the remaining useful variables. The main purpose of this research is presenting a new method to select useful variables by using and combining the concept of Mahalanobis distance and Integer Programming. Due to the inaccuracy and the difficulties in selecting the useful variables by the design of experiments method, we have used an innovative and accurate method to solve the problem. The proposed model finds the solutions faster and has a better performance than other common methods.
Privacy with Surgical Robotics: Challenges in Applying Contextual Privacy Theory

The use of connected surgical robotics to automate medical procedures presents new privacy challenges. We argue that conventional patient consent protocols no longer work. Indeed robots that replace human surgeons take on an extraordinary level of responsibility. Surgeons undergo years of training and peer review in a strongly regulated environment, and derive trust via a patient's faith in the hospital system. Robots on the other hand derive trust differently, via the integrity of the software that governs their operation. From a privacy perspective, there are two fundamental shifts. First, the threat model has shifted from one where the humans involved were untrusted to one where the robotic software is untrusted. Second, the basic unit of privacy control is no longer a medical record, but is replaced by four new basic units: the subject on which the robot is taking action; the tools used by the robot; the sensors (i.e data) the robot can access; and, finally access to monitoring and calibration services which afford correct operation of the robot. We suggest that contextual privacy provides useful theoretical tools to solve the privacy problems posed by surgical robots. However, it also poses some challenges: not least that the complexity of the contextual-privacy policies, if rigorously specified to achieve verification and enforceability, will be exceedingly high to directly expose to humans that review contextual privacy policies. A medical robot works with both information and physical material. While informational norms allow for judgements about contextual integrity and the transmission principle governs the constraints applied on information transfer, nothing is said about material property. Certainly, contextual privacy provides an anchor for useful notions of privacy in this scenario and thus should be considered to be extended to cover both information and material flows.
Computing Derivatives for PETSc Adjoint Solvers using Algorithmic Differentiation

Most nonlinear partial differential equation (PDE) solvers require the Jacobian matrix associated to the differential operator. In PETSc, this is typically achieved by either an analytic derivation or numerical approximation method such as finite differences. For complex applications, hand-coding the Jacobian can be time-consuming and error-prone, yet computationally efficient. Whilst finite difference approximations are straight-forward to implement, they have high arithmetic complexity and low accuracy. Alternatively, one may compute Jacobians using algorithmic differentiation (AD), yielding the same derivatives as an analytic derivation, with the added benefit that the implementation is problem independent. In this work, the operator overloading AD tool ADOL-C is applied to generate Jacobians for time-dependent, nonlinear PDEs and their adjoints. Various strategies are considered, including compressed and matrix-free approaches. In numerical experiments with a 2D diffusion-reaction model, the performance of these strategies has been studied and compared to the hand-derived version.
Effects of arbuscular mycorrhizal fungal inoculationson the growth and polyphenol levels of garden leek (Allium porrum)

Arbuscular mycorrizal (AM) fungi may enhance plant growth and polyphenol production, however, there have been limited studies on the relationships between root colonization of different fungal species and polyphenol production on cultivated Allium porrum (garden leek). The effects of inoculation of AM fungi spores from Rhizophagus intraradices, Giga -spora margarita, Glomus geosporum, Paraglomus occultum, Claroideoglomus claroideum, and Glomus species on colonization of garden leek roots and symbiotic changes in polyphenol production and plant growth were evaluated in greenhouse experiments. There were significant differences (p < 0.05) in colonization of leek roots by AM fungi species. The greatest level of root colonization was recorded on plants inoculated with R. intraradices (73%) and the lowest level on C. claroideum (3.2%). Significant differences (p < 0.05) in plant height were recorded between AM inoculated plants and the controls. Polyphenol levels differed significantly (p < 0.05) between garden leek plants inoculated with AM fungi and the non-inoculated controls. The percentage increases in polyphenol (a derivative of kaempferol) on garden leeks inoculated with G. geosporum relative to the untreated controls ranged from 28 to 1123%. Due to symbiosis with different AM species, other polyphenols decreased in some instances (negative values) and increased in others for values of up to 590%. Results showed that AM fungi species exhibited remarkable differences in polyphenol levels in garden leeks. The high polyphenol production by garden leek plants inoculated with G. geosporum, and Glomus species could be exploited for enhanced resistance of garden leeks to insects and diseases. This research highlights an understudied area, notably the relationships between AM fungal inoculations, root colonizations and polyphenol production in garden leeks. The findings can be utilized to improve pest resistance and the quality of garden leek plants.
Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation

We achieve 3D semantic scene labeling by exploring semantic relation between each point and its contextual neighbors through edges. Besides an encoder-decoder branch for predicting point labels, we construct an edge branch to hierarchically integrate point features and generate edge features. To incorporate point features in the edge branch, we establish a hierarchical graph framework, where the graph is initialized from a coarse layer and gradually enriched along the point decoding process. For each edge in the final graph, we predict a label to indicate the semantic consistency of the two connected points to enhance point prediction. At different layers, edge features are also fed into the corresponding point module to integrate contextual information for message passing enhancement in local regions. The two branches interact with each other and cooperate in segmentation. Decent experimental results on several 3D semantic labeling datasets demonstrate the effectiveness of our work.
Impact of Gender , Emotional Intelligence and Self-Efficacy on Sources and Intensity of Stress among Adults

An attempt is made in the present investigation to study the impact of gender, emotional intelligence and self-efficacy on sources and intensity of stress. Gender, emotional intelligence and self-efficacy are the independent variables and sources and intensity of stress is the dependent variable. It was hypothesized that, gender, emotional intelligence, and self-efficacy would significantly influence the sources and intensity of stress.200 males and 200 females with high and low emotional intelligence and high and low self efficacy constituted the sample of the study. Since there are three independent variables and each is varied into two ways a 2 x 2 x 2 factorial design is employed. The obtained data from the 400 sample are subjected to analysis of variance to test the hypotheses. It is found that adults with low emotional intelligence and low self efficacy experience high intercity of stress, and social, family, psychological, financial, health and professional problems are the potential sources of stress for them, where as there is no significant difference between male and female adults in their sources and intensity of stress.
How Guests Develop Trust in Hosts: An Investigation of Trust Formation in P2P Accommodation

As peer-to-peer (P2P) accommodation service often involves multistage interactions between hosts and guests in online and offline settings, trust between the parties involved is of the utmost importance. In particular, the possibility of interacting offline in P2P service delivery highlights the significance of interpersonal trust between hosts and guests. Accordingly, this study examines the formation of trusting beliefs in hosts, comprising prospective guests’ perception of the ability, benevolence, and integrity of the hosts. This study estimated the effects of two antecedents—propensity to trust and trust in P2P platform—on trusting beliefs, as well as the consequence of trusting beliefs, that is, behavioral intention to book from the host. Important implications for trust formation in a P2P accommodation marketplace are provided.
HELMET USE AMONG COMMERCIAL MOTORCYCLISTS : A SURVEY OF TWO MUNICIPALITIES IN UGANDA

There is a worldwide apprehension that present-day motor driving schools are not producing drivers with the kind of awareness and abilities that they need to be useful on the road. This inadequacy has placed growing stress on authorities in the traffic management to improve the safety of motorcyclists by guaranteeing that road use transforms into a gratifying journey between destinations. Given the numerous complications and the proof of increased road carnage in Uganda, the emphasis of this article is on how authorities in Uganda can reduce on the road carnage for the road users on this century. The study adopts a desk appraisal method, supported by observations, as the means to interrogating hands-on interventions aimed at reducing road carnage on the Ugandan roads. For practical application of these interventions, it is proposed that helmet usage should become a precondition for every commercial motorcyclist using any road in Uganda.
Tax Incentives for Green Industries: Determinants of Performance between Green Building Index (GBI) and Non-Green Building Index Firms in Malaysia

Industrialization, urbanization, and economic growth are among the major causes of environmental degradation. These factors are closely related to the construction sector. To curb the issue, the government has initiated tax incentives to encourage developers embracing green technology. Developers who entitled to these tax incentives should enjoy a considerable amount of tax savings, which can be employed for capital reinvestment. Consequently, this study aims to determine whether firms that specifically involve with the construction of green buildings and have received the tax incentives are more likely to achieve relatively better financial performance, as a result of tax benefits gained from the government assistance. For the empirical analyses, secondary data was employed. A total of 138 firm-year observations from 2015 until 2017 used to measure the firm’s characteristic of board size, asset tangibility, deferred tax balances, and leverage against financial performance. The Theory of the Growth of the Firm was used to interpret the relationship between the financial characteristics and firm performance. We obtain evidence that indicates there is no significant difference in the financial performance between the GBI and non-GBI firms. The deferred tax balance, a proxy of the investment tax allowances granted by the Malaysian government to the GBI firms, is shown to be ineffective in improving the financial performances of these firms. The finding of this study suggests that any form of tax assistance from the government for the construction sector has not benefitted its recipients and requires remodeling.
Delivrable Algorithms Description: Traffic pattern evolution and unsupervised network anomaly detectionONTIC D4.2

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Delivrable Algorithms Description: Traffic pattern evolution and unsupervised network anomaly detection ONTIC D4.2 Juliette Dromard, Philippe Owezarski, Velasco Mozo, Alberto Ordozgoiti, Bruno Vakaruk
Journées Klotz 2012 cAMP pathway and pituitary tumorigenesis cAMP et tumorigenèse hypophysaire

The pituitary is the target of different neurohormones that have a crucial role in the control of cell differentiation, cell proliferation and hormone ecretion by recognizing specific receptors belonging to the G Protein-Coupled Receptor super-family (GPCR). Evidence from in vitro studies nd naturally occurring human diseases indicate that several endocrine cells, and particularly somatotrophs, recognize cAMP as a growth factor. ccordingly, mutations of the alpha subunit of the stimulatory G protein gene (GNAS) leading to the constitutive activation of adenylyl cyclase i.e. gsp oncogene) have been recognized in a significant proportion of GH-secreting pituitary adenomas. The role of cAMP in the control of cell roliferation in selected cell types and in particular in somatotroph cells has been further confirmed by identification of genetics defect affecting the egulatory subunit IA of PKA. The role of cAMP in the control of cell proliferation as well as the crosstalk with different intracellular signalling athways will be discussed. 2012 Published by Elsevier Masson SAS.
Semantic Soft Segmentation Supplementary Material

We begin by computing a set of per-pixel semantic features for each input image. In principle, the network generating the features can be easily replaced to improve the results in parallel to advances in semantic segmentation, or to change the definition of semantic objects, such as to serve fine-grained or instance-aware semantic segmentation scenarios. We train a deep convolutional neural network cascaded with metric learning, to generate features that are similar if they belong to the same object class, and distant from each other otherwise. The network outputs per-pixel semantic features of d = 128 dimensions. For simplicity, we denote a semantic feature vector f p ∈ Rd for each pixel p. The base network of our feature extractor is based on DeepLabResNet-101 [Chen et al. 2017]. The DeepLab model is built on a fully convolutional variant of ResNet-101 [He et al. 2015a] with atrous convolutions and atrous spatial pyramid pooling. In the DeepLabResNet-101, the res4b22 layer is the most commonly used output as a generic feature, which is 2048 dimensional at one sixteenth of the original image resulution. Since our purpose is to extract per-pixel feature with plausible object contours and boundaries, directly leveraging multi-scale context information is favorable when compared to using a condensed feature at higher layer such as res5b_relu. We modify the architecture to take features from lower as well as higherlevels into account. We use the feature concatenation, motivated by [Bertasius et al. 2015; Hariharan et al. 2015], but we maintain a light representation to avoid large memory bottlenecks. We branch
Sistemi upravljanja sa unutrašnjim modelima: Pregled

Rezime – U istoriji teorije automatskog upravljanja, za sada, postoje tri globalna prilaza sinteze sistema, koja za ključnu reč imaju “unutrašnji model”. Razvoj različitih koncepata primene unutrašnjih modela u upravljačkoj strukturi sistema bio je motivisan i različitim namerama u funkciji kojih su unutrašnji modeli korišćeni. Ranih sedamdesetih, grupa autora, rešavajući probleme regulacije i praćenja kod multivarijabilnih sistema, formuliše princip unutrašnjeg modela (Internal Model Principle IMP). Korišćenje ovog principa podrazumeva uključivanje unutrašnjeg modela poremećaja u upravljačku strukturu sistema, čime se postiže minimalan efekat poremećaja na izlaz sistema. Osamdesetih godina razvija se novi koncept upravljanja sa unutrašnjim modelom, koji eksplicitno uključuje matematički model objekta u upravljačku strukturu sistema, a inače je poznat pod nazivom Internal Model Control (IMC). Ustanovljeni postupak sinteze IMC strukture je izveden na bazi prethodnih koncepata koji su u prethodne tri decenije bazirani na sličnim idejama. Između ostalog, svrha korišćenja unutrašnjeg modela kod IMC strukture je i estimacija signala efekata dejstva poremećaja na izlaz sistema. Treći, Tsypkinov koncept IMPACT (Internal Model Principle and Control Together) strukture sistema sa unutrašnjim modelom, iako se razvijao nezavisno od ustanovljenih ideja sistema sa unutrašnjim modelom, objedinjuje prednosti prethodnih koncepata i unosi u upravljačku stukturu sistema i unutrašnji model poremećaja i unutrašnji model objekta upravljanja. Strukture sa unutrašnjim modelom su pokazale veliku robustnost i sposobnost otklanjanja efekata različitih determinističkih klasa poremećaja. U ovom radu dat je presek stanja u oblasti upravljačkih struktura sa unutrašnjim modelom. Posebno su analizirane glavne ideje i procedure koje su doprinele razvoju ovog koncepta upravljanja. Ovim radom nisu obuhvaćeni multivarijabilni sistemi sa unutrašnjim modelom. Međutim, bitni zaključci i izložene procedure lako mogu biti prošireni i na multivarijabilne sisteme.
Improving Residential Energy Efficiency International Conference , IREE 2017 Warm house , Cold house : a review of measures of thermal comfort used in Get Bill Smart ’ s energy efficiency assessments

District heating networks are commonly addressed in the literature as one of the most effective solutions for decreasing the greenhouse gas emissions from the building sector. These systems require high investments which are returned through the heat sales. Due to the changed climate conditions and building renovation policies, heat demand in the future could decrease, prolonging the investment return period. The main scope of this paper is to assess the feasibility of using the heat demand – outdoor temperature function for heat demand forecast. The district of Alvalade, located in Lisbon (Portugal), was used as a case study. The district is consisted of 665 buildings that vary in both construction period and typology. Three weather scenarios (low, medium, high) and three district renovation scenarios were developed (shallow, intermediate, deep). To estimate the error, obtained heat demand values were compared with results from a dynamic heat demand model, previously developed and validated by the authors. The results showed that when only weather change is considered, the margin of error could be acceptable for some applications (the error in annual demand was lower than 20% for all weather scenarios considered). However, after introducing renovation scenarios, the error value increased up to 59.5% (depending on the weather and renovation scenarios combination considered). The value of slope coefficient increased on average within the range of 3.8% up to 8% per decade, that corresponds to the decrease in the number of heating hours of 22-139h during the heating season (depending on the combination of weather and renovation scenarios considered). On the other hand, function intercept increased for 7.8-12.7% per decade (depending on the coupled scenarios). The values suggested could be used to modify the function parameters for the scenarios considered, and improve the accuracy of heat demand estimations. © 2017 The Authors. Published by Elsevier Ltd. Peer-review under responsibility of the Scientific Committee of The 15th International Symposium on District Heating and Cooling.