Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of Atmospheric Processes for Ozone Formation from Vehicle Emissions

The factors involved in evaluations of effects of volatile organic compound (VOC) and oxides of nitrogen emissions from motor vehicles on ground-level ozone are reviewed. The chemical basis for ozone formation, the computer models and chemical mechanisms used for predicting ozone impacts, and methods for quantifying differences among VOCs in their ozone impacts, are discussed. It is recommended that evaluations of effects of changing fuel and vehicle technology on ozone include an analysis of the effects of uncertainties in the model calculations and of the variability of ozone impacts with atmospheric conditions. Other related research needs are summarized.
FIBAR: Fingerprint Imaging by Binary Angular Reflection for Individual Identification of Metal Parts

This paper proposes an imaging method for individual identification of metal parts using the image features of the appearances as ``fingerprints''. The key to put such a method into the real applications is how to capture the unique features that are ``repeatable'' across varying environments. Since the image features of metal surface are quite unstable due to specular reflection, most previous methods require special imaging devices. In this paper, we propose an imaging method, named Fingerprint Imaging using Binary Angular Reflection (FIBAR), for capturing repeatable ``fingerprints'' from metal surface by using a common camera. FIBAR captures an image of the angular black/white intensity pattern that is reflected off the metal surface. Since FIBAR provides a common camera with plenty of repeatable ``fingerprints'', the registration and query images of the same part are robustly matched under varying environments. FIBAR is implemented as an inexpensive tool by 3D printing, and it is distributable for wide applications. In our experiments, 1,000 metal bolts with identical appearance manufactured with the same mold are perfectly identified by employing FIBAR.
The number of vertices of a Fano polytope

Soit X une variete de Fano torique, Gorenstein et Q-factorielle. Nous demontrons deux conjectures sur le nombre de Picard maximal de X en fonction de sa dimension et de son pseudo-indice, et nous caracterisons les cas limites. De facon equivalente, nous determinons le nombre maximal de sommets d'un polytope reflexif simplicial.
High Birth Weight and Early Postnatal Weight Gain Protect Obese Children and Adolescents From Truncal Adiposity and Insulin Resistance

OBJECTIVE—Low birth weight (LBW), no early catch-up weight, and subsequent fat accumulation have been associated with increased risks of insulin resistance from childhood onward and later cardiovascular disease. We sought to clarify the effects of high birth weight (HBW) and postnatal weight gain on insulin resistance. RESEARCH DESIGN AND METHODS—A total of 117 obese children aged 10.4 ± 2.4 years were divided into three groups according to fetal growth after exclusion of maternal diabetes. They were comparable for age, sex, puberty, and percent body fat. Customized French birth weight standards, adjusted for maternal characteristics and gestation number, identified subjects with true altered fetal growth: 32 had increased fetal growth according to customized standards (HBWcust), 52 were eutrophic, and 33 had restricted fetal growth according to customized standards (LBWcust). Fat distribution by dual-energy X-ray absorptiometry, insulin sensitivity indexes from an oral glucose tolerance test (OGTT), and leptin, adiponectin, and visfatin levels were compared between groups. RESULTS—The HBWcust subjects had a higher adiponectin level, higher whole-body insulin sensitivity index (WBISI), and lower hepatic insulin resistance index, lower insulin and free fatty acid concentrations during OGTT, and lower trunk fat percent than eutrophic (P < 0.05) and LBWcust subjects (P < 0.05). Besides birth weight, weight gain between 0 and 2 years was a positive predictor (P < 0.05) of WBISI, whereas weight gain after 4 years was a negative predictor (P < 0.05). CONCLUSIONS—HBW and early weight gain may program insulin sensitivity and adipose tissue metabolism and contribute to so-called metabolically healthy obesity.
Semantic enterprise service bus for cultural heritage

The problem of data flooding is becoming more and more important, and it is necessary to find a way to access relevant information and to collect information and data from different data sources. In the field of cultural heritage, users need to be able to find and extract information from databases of specific contexts (paintings, inscriptions, churches, old coins, etc.). The problem is that each of these databases has a different data model. A project created to solve this problem is Europeana, which aims to bring together data from different providers (museums, libraries or other entities) in a single dataset. This paper aims to propose an architecture for a heterogeneous data sources system for the integration of structured/semi-structured data sources, enabling the information content to be more accessible and searchable for users. The data integration model proposed in this paper aims to exploit the method of "schema matching", using ontology-based data integration techniques by automating the integration process.
High Ca2+ permeability of a peptide-gated DEG/ENaC from Hydra

Degenerin/epithelial Na+ channels (DEG/ENaCs) are Na+ channels that are blocked by the diuretic amiloride. In general, they are impermeable for Ca2+ or have a very low permeability for Ca2+. We describe here, however, that a DEG/ENaC from the cnidarian Hydra magnipapillata, the Hydra Na+ channel (HyNaC), is highly permeable for Ca2+ (PCa/PNa = 3.8). HyNaC is directly gated by Hydra neuropeptides, and in Xenopus laevis oocytes expressing HyNaCs, RFamides elicit currents with biphasic kinetics, with a fast transient component and a slower sustained component. Although it was previously reported that the sustained component is unselective for monovalent cations, the selectivity of the transient component had remained unknown. Here, we show that the transient current component arises from secondary activation of the Ca2+-activated Cl− channel (CaCC) of Xenopus oocytes. Inhibiting the activation of the CaCC leads to a simple on–off response of peptide-activated currents with no apparent desensitization. In addition, we identify a conserved ring of negative charges at the outer entrance of the HyNaC pore that is crucial for the high Ca2+ permeability, presumably by attracting divalent cations to the pore. At more positive membrane potentials, the binding of Ca2+ to the ring of negative charges increasingly blocks HyNaC currents. Thus, HyNaC is the first member of the DEG/ENaC gene family with a high Ca2+ permeability.
RSTVL: A Sound Abstract Memory Model for Program Static Analysis

In this paper, a region-based symbolic three-valued logic (RSTVL) is to describe the storage state of a memory object. RSTVL utilises abstract region to simulate the block of the concrete memory, a symbolic expression to express the value of a memory object, and the interval domain to describe the value of each symbol of symbolic expression, and then various operations for memory objects are mapped to operation about region. As a sound abstract memory model, RSTVL can describe the shape information of data structure in memory and storage state of memory objects for C program, and a variety of associative addressable expressions, including the point-to relations, hierarchical and valued logic relations.
Concurrent occurrence of visceral linguatulosis and paratuberculosis in alpine cross goats (Capra hircus).

Concurrent visceral linguatulosis and paratuberculosis was diagnosed in five Alpine Cross goats ( Capra hircus ). Severe, gross and histopathological changes wereobserved, with the occurrence of multibacillary paratuberculosis and parasite-induced damage. The PCR-based technique was employed, using IS 900, to confirm paratuberculosis, and light, stereo- and scanning electron-microscopy were carried out to study the third-instar larvae of Linguatula serrata , Frohlich, 1789. The morphological changes were mainly in the intestines and mesenteric lymph nodes and paratuberculosis-associated lesions were principally of a diffuse multibacillary type, with a severe granulomatous reaction, consisting of macrophages laden with large numbers of acid-fast bacilli and variously sized cyst-like spaces in the lymph nodes, histologically associated with the moth-eaten appearance of the parenchyma. Severely oedematous and haemorrhagic lymph nodes, having areas of calcification with profuse numbers of Mycobacterium avium subsp. paratuberculosis (Map), seemed to be characteristic of the concurrent occurrences of the diseases. The present investigation suggests that the parasite, being lymphovorous, might predispose to the multibacillary form of paratuberculosis.
Semi-supervised Feature Importance Evaluation with Ensemble Learning

We consider the problem of using a large amount of unlabeled data to improve the efficiency of feature selection in high dimensional datasets, when only a small set of labeled examples is available. We propose a new semi-supervised feature importance evaluation method (SSFI for short), that combines ideas from co-training and random forests with a new permutation-based out-of-bag feature importance measure. We provide empirical results on several benchmark datasets indicating that SSFI can lead to significant improvement over state-of-the-art semi-supervised and supervised algorithms.
Securing broker-less publisher/subscriber systems using cryptographic technique

A publisher-subscriber framework is generally develop on join network architecture. This framework allows authorized data distribution among subscribers through publishers. This is an open overlay network. It has some security issues including integrity and confidentiality, authorization, validation etc. Also there is another problem regarding this network, such as Events secrecy and subscriptions clashes with content based routing. Such security issues are very difficult to predict and resolve. To increase the confirmation and secrecy of broker, this paper introduced the concept of broker less content based publish/subscribe system and also developed a novel technique to improve the same. In this proposed system, subscribers are allowed to view and publish the information if and only if publishers want to share their information. Additionally, to make secure information sharing, only data in encrypted format are shared among subscriber and publishers. For this purpose a more secure encryption algorithm i.e. ECC algorithm is used. Therefore this proposed system is more secure and safe. As ECC utilizes small key size for encryption and decryption, this system takes less computation time and consumes less memory. Different from existing system which can only publish the articles, this proposed system also support for dynamic news or article update with publishing it. After this, to increase the performance of system, cloud services are used. Because of this the performance of system is improved in terms of efficiency, security, data availability and low cost. Also system detect the man in middle attack and replace attack which occurred at the time of data upload and download in the cloud and improve the performance.
Design and evaluation of a test rig for full-size grid frequency stabilizer modules with ultracapacitors

In order to stabilize the grid frequency in case of sudden loss of power generation, an injection of real power is needed. For this, a Static Var Compensator (SVC) can be combined with ultracapacitors, forming a grid frequency stabilizer. To prove the feasibility of this novel combination, the paper shows the realization of a 1 MW class test rig for full-size modules. Single modules are tested using a second module and connecting them at their AC front-end. The control of the AC/DC and DC/DC converters is described and the performance of the test field is shown in measurement results.
Fear of failure: an exploratory study of Division III student-athletes

The following research question was examined: What perceptions impact perceived fear of failure? Division III basketball athletes were assessed for fear of failure (FOF) using the Sport Competition Anxiety Test (SCAT) and a short open-ended questionnaire that was comprised of five questions about different sport performance situations. Following the initial'SCAT testing and questionnaire, four subjects (U: 2 males, n : 2 females) with the highest perceived fear of failure scores were purposefully selected. The subjects were then given an in-depth, semi-structured interview pertaining to how they perceived themselves in different sport siruations. Each subject's coach was also interviewed in'an attempt to triangulate the athlete's responses. In addition, the primary researcher observed several practice sessions and competitions while keeping a written journal of conversations and behaviors. Data was transcribed and inferences were drawn to illustrate these athletes'perceived fear of failure and to examine perceptions impacting perceived fear of failure. The following four themes emerged to provide an answer to the research question: l. Expectations from their coaches and the athletes' families caused the athletes to feel tremendous pressure. 2. Athletes stated that getting compliments and pleasing coaches, family, and self was very important. Athletes atlributed their successes and/or failures to external factors, such as luck, injury, circumstance, or they blamed others for their own failures. A11 athletes suffered from low self confidence, self-esteem, and. /or perfectionism. 3.
Heterogeneous Cross-Company Effort Estimation through Transfer Learning

Software effort estimation is vital but challenging activity during software development. In many small or medium-sized companies, such challenges are stemmed from historical data shortage. The problem can be solved by leveraging cross-company data for effort estimation. While in practice, cross-company effort estimation may not be easy to take because the cross-company data for effort estimation can be heterogenous. In this paper, we propose a novel approach named Mixture of Canonical Correlation Analysis and Restricted Boltzmann Machines (MCR) to address data heterogeneity issue in cross-company effort estimation. The essential ideas in MCR are (1) to present a unified metric representing heterogenous effort estimation data; and (2) to combine Canonical Correlation Analysis and Restricted Boltzmann Machines method to estimate effort in heterogenous cross-company effort estimation. The MCR approach is evaluated on 5 public datasets in PROMISE repository. The evaluation results show that: (1) for estimations with partially different metrics, the MCR approach outperforms within-company effort estimator KNN with a decrease in MMRE by 0.60, an increase in PRED(25) by 0.16, and a decrease in MdMRE by 0.19; (2) for estimations with totally different metrics, the MCR approach outperforms within-company effort estimator KNN with a decrease in MMRE by 0.49, an increase in PRED(25) by 0.08, and a decrease in MdMRE by 0.10.
Insulin resistance, impaired early insulin response, and insulin propeptides as predictors of the development of type 2 diabetes: a population-based, 7-year follow-up study in 70-year-old men.

OBJECTIVE Defects in insulin secretion and insulin action are the major abnormalities in the development of type 2 diabetes. In middle-aged subjects, elevated plasma proinsulin has been found to predict type 2 diabetes. Therefore, our aim was to study the longitudinal relationships between baseline determinations of insulin sensitivity index (S(i)) assessed by euglycemic insulin clamp, the early insulin response (EIR) at an oral glucose tolerance test (OGTT), fasting intact proinsulin, 32-33 split proinsulin and specific insulin, and the development of type 2 diabetes in a population-based cohort of 70-year-old nondiabetic men (n = 667) with 7-year follow-up. RESEARCH DESIGN AND METHODS A euglycemic insulin clamp study and a 75-g OGTT were performed at baseline, and fasting peptide concentrations were measured using specific two-site immunometric assays. Results from logistic regression models are presented as odds ratios (ORs) with 95% CIs for a 1-SD increase in the predictor variable. RESULTS In separate multivariate analyses adjusted for EIR (OR 0.72, 95% CI 0.59-0.89) and S(i) (0.68, 0.58-0.88), 32-33 split proinsulin (1.49, 1.18-1.88) or intact proinsulin (1.30, 1.04-1.63) were significantly associated with the development of type 2 diabetes, whereas specific insulin (1.24, 0.91-1.66) was not. The significant associations between 32-33 split or intact proinsulin and the development of type 2 diabetes were unaltered after adjustment for BMI and glucose tolerance. CONCLUSIONS Insulin propeptides predicted type 2 diabetes over a 7-year period in elderly men, independent of the EIR and S(i).
Mid-infrared sources in the ELAIS Deep X-ray Survey

We present a cross-correlation of the European Large Area ISO survey (ELAIS) with the ELAIS Deep X-ray Survey of the N1 and N2 fields. There are 7 Chandra point sources with matches in the ELAIS Final Analysis 15µm catalogue, out of a total of 28 extragalactic ISO sources present in the Chandra fields. Five of these are consistent with AGN giving an AGN fraction of � 19 per cent in the 15µm flux range 0.8 6 mJy. We have co-added the hard X-ray fluxes of the individually-undetected ISO sources and find a low significance detection consistent with star formation in the remaining population. We combine our point source cross-correlation fraction with the XMM-Newton observations of the Lockman Hole and Chandra observations of the Hubble Deep Field North to constrain source count models of the mid-infrared galaxy population. The low dust-enshrouded AGN fraction in ELAIS implied by the number of cross-identifications between the ELAIS mid-infrared sample and the Chandra point sources is encouraging for the use of mid-infrared surveys to constrain the cosmic star formation history, provided there are not further large undetected populations of Compton-thick AGN.
Modeling and Simulation of Energy Management System for Smart City with the Formalism DEVS: Towards Reducing the Energy Consumption

A simulation of a dynamic ecosystem such as the smart city can test new concepts for reducing energy consumption. Research related to energy management can be divided into two categories: predictive control (anticipative) and adaptive control (reactive). A new energy management system of a building (BEMS) which is the chosen system to validate treats a long-term anticipative control and introduces a reactive control that adds another level of intelligence to the BEMS. This work is focused on modeling and simulation of this system using the formalism (DEVS). Our motivation is explained by the fact that DEVS is a tool for modeling of discrete event systems and it decomposes the overall system into subsystems in order to facilitate the achievement which is consistent with the characteristics of multilayer architecture of the chosen system. General Terms Energy Management System, Energy management, Energy consumption, Atomic model, Discrete event system, Reactive layer, Coupled model, Predictive control, Local layer, Anticipative layer, Multisource and Multiload building, Multilevel model.
Designing Distributed Search Structures with Lazy Updates

Very large database systems require distributed storage for expansibility and high throughput, which means that they need distributed search structures for fast and eecient access to the data. In a highly parallel distributed search structure, parts of the index must be replicated to avoid serialization bottlenecks. Designing distributed and replicated search structures is made diicult by the complex interaction of the search structure concurrency control and the replica coherency algorithms. In this paper, we present an approach to maintaining distributed data structures that uses lazy updates, which take advantage of the semantics of the search structure operations to allow for scalable and low-overhead replication. Lazy updates can be used to design distributed search structures that support very high levels of concurrency. The alternatives to lazy update algorithms (eager updates) use synchronization to ensure consistency, while lazy update algorithms avoid blocking. Since lazy updates avoid the use of synchronization, they are much easier to implement than eager update algorithms. We develop a correctness theory for lazy update algorithms, then present lazy update algorithms to maintain a dB ? tree, which is a distributed B + tree that replicates its interior nodes for highly parallel access. We show how the algorithms can be applied to the construction of other distributed search structures.
A method to enhance the efficiency of Markov blanket for BN in medical diagnosis

Although successfully used in medical diagnosis, Bayesian network is facing great challenge due to the relatively small amount of diagnosed data and the large dimension of features. To address this issue, this paper presents an effective method for creating Markov blanket when building Bayesian network models. The proposed approach consists of two stages. In the first stage, a clustering based method is introduced to rebuild a representative training data by exploiting the undiagnosed data. In the second stage for feature selection, Markov blanket is built up with the consideration of feature interaction. To evaluate its performance, eight disease datasets from UCI machine learning database are chosen and four off-the-shelf classification algorithms are used for comparison. The test result showed that our approach has better classification accuracy than other traditional methods. Furthermore, two stages in our approaches are isolated in experiment to check their relative efficiency.
Trust based Clustering and Secure Authentication for Multicast in AD-Hoc Network

Ad-hoc network is a dynamic wireless network, composed of mobile nodes without the aid of centralized administration, where nodes have limited transmission range. Security is challenging issue due to the mobility of nodes can lead to dynamic topology, intermediate nodes act as a router can forward packets. Therefore authentication the source and forwarding packets with cryptographic mechanism and valid MACs is inappropriate because the data with encrypted key can send in same path can be modified by the attacker node. This paper presents a clustering mechanism with multi-hop communication and the source authentication is also done. The agent node is developed to verify the key with encrypted data is modified or not. The key management is done by the agent node. This ensure the source forwarding data is modified can be send using different path using dynamic selection of paths. The multicast protocol with hierarchical routing will increase the scalability. Index Terms Secure authentication, multicast communication, key managament.
Investigations of the influence of culture on the job interview: need for a grounded theory approach

This paper reviews the literature on the cross-cultural job interview and highlights the need for theory development. It explores the influence of culture and its impact on the processes and outcomes of the job interview. The paper adopts interpretive theory to understand how participants of the job interview ie the interviewer and candidate, may develop meaningful cultural experiences. It uses symbolic interactionism to examine how the different cultures of the participants may produce their differing experiences which impact on the processes and outcomes of the job interview. The paper concludes with a justification for the development of a grounded theory of culture in the job interview by examining multiple cases of the cross-cultural job interview.