Miracle-dz/UniFAR-FTUs huggingface dataset:
Automated Code Compliance Checking Based on a Visual Language and Building Information Modeling

One of the most important issues during the planning of a construction project is to maintain the quality of the design planning constantly at a high level. Therefore this quality must be checked continuously in terms of accuracy and compliance to the applicable codes and guidelines throughout the duration of a project. Nowadays this checking process is laborious, cumbersome and error-prone since it is mostly performed manually based on twodimensional planning and iteratively at each planning change by the responsible planning consultant. Recently, various approaches attempted to automate this highly relevant process with the help of digital methods, such as Building Information Modeling, in order to reduce the amount of work and increase the quality of the planning at the same time. Although this Automated Code Compliance Checking has been implemented using a variety of different methods, most of the existing approaches fail because they represent the information of rules in an insufficient or overly complex manner. In this paper a short analysis of the pros and cons of selected existing approaches is given and subsequently minimal requirements for a successful automation of this process are defined. To counteract the lacks and insufficiencies of existing approaches, a new method is introduced which enables an automation using a flow-based, visual programming language, which we call Visual Code Checking Language (VCCL). Finally the practical implementation of a semi-automated compliance check concerning an exemplary German fire code demonstrates the viability of the approach.
Switch to etravirine for HIV‐positive patients receiving statin treatment: a prospective study

Lifestyle changes and statins are the cornerstones in management of dyslipidaemia in patients with HIV infection. Replacement of an antiretroviral therapy (ART) component is a proposed therapeutic strategy to reduce cardiovascular risk. In dyslipidaemic patients with HIV infection, we assessed the efficacy of replacing boosted protease inhibitor (bPI) or efavirenz (EFV) by etravirine (ETR) as an alternative to statin therapy.
Nucleus-Selective Expression of Laccase Genes in the Dikaryotic Strain of Lentinula edodes

Abstract In mating of Lentinula edodes, dikaryotic strains generated from certain monokaryotic strains such as the B2 used in this study tend to show better quality of fruiting bodies regardless of the mated monokaryotic strains. Unlike B2, dikaryotic strains generated from B16 generally show low yields, with deformed or underdeveloped fruiting bodies. This indicates that the two nuclei in the cytoplasm do not contribute equally to the physiology of dikaryotic L. edodes, suggesting an expression bias in the allelic genes of the two nuclei. To understand the role of each nucleus in dikaryotic strains, we investigated single nucleotide polymorphisms (SNPs) in laccase genes of monokaryotic strains to reveal nuclear origin of the expressed mRNAs in dikaryotic strain. We performed reverse transcription PCR (RT-PCR) analysis using total RNAs extracted from dikaryotic strains (A5B2, A18B2, and A2B16) as well as from compatible monokaryotic strains (A5, A18, and B2 for A5B2 and A18B2; A2 and B16 for A2B16). RT-PCR results revealed that Lcc1, Lcc2, Lcc4, Lcc7, and Lcc10 were the mainly expressed laccase genes in the L. edodes genome. To determine the nuclear origin of these laccase genes, the genomic DNA sequences in monokaryotic strains were analyzed, thereby revealing five SNPs in Lcc4 and two in Lcc7. Subsequent sequence analysis of laccase mRNAs expressed in dikaryotic strains revealed that these were almost exclusively expressed from B2-originated nuclei in A5B2 and A18B2 whereas B16 nucleus did not contribute to laccase expression in A2B16 strain. This suggests that B2 nucleus dominates the expression of allelic genes, thereby governing the physiology of dikaryons.
Expression of Aquaporin 1 and 4 in a Congenital Hydrocephalus Rat Model

BACKGROUND: Hydrocephalus occurs because of an imbalance of bulk fluid flow in the brain, and aquaporins (AQPs) play pivotal roles in cerebral water movement as essential mediators during edema and fluid accumulation. AQP1 is a water channel found in the choroid plexus (CP), and AQP4 is expressed at the brain-CSF interfaces and astrocytic end feet; excessive fluid accumulation may involve expression of changes in these AQPs during various stages of hydrocephalus. OBJECTIVE: To determine the alterations of CP AQP1 expression in congenital hydrocephalus; detect hydrocephalus-induced AQP1 expression in the cortical parenchyma, ependyma, and pia mater of hydrocephalic animals; and evaluate AQP4 expression in congenital hydrocephalus through progressive stages of the condition. METHODS: We evaluated differential expression of AQPs 1 and 4 in the congenital hydrocephalus Texas rat at postnatal days 5, 10, and 26 in isolated CP and cortex by enzyme-linked immunosorbent assay, Western blot, quantitative reverse transcriptase polymerase chain reaction, and immunohistochemistry. RESULTS: The CP exhibited a 34% decrease in AQP1 expression in young hydrocephalic pups (postnatal days 5 and 10), which became normal (postnatal day 26) just before death. With advancing hydrocephalus, expression of AQPs 1 and 4 increased at the brain-CSF interfaces; AQP1 was localized to the endothelium of cortical capillaries with increased AQP4 expression in surrounding astrocytes end feet. AQP1 expression level was increased in the pia mater, with prominent AQP4 expression in the subpial layers. Subependymal capillaries expressed AQP1 in the endothelium, with increasing AQP4 expression in surrounding astrocytes. Hydrocephalic animals (postnatal day 26) had significant nonendothelial (CD34−) AQP1 expression in the septal nucleus of the basal forebrain, an area affected by increased intracranial pressure. CONCLUSION: Biphasic AQP1 expression in the CP with increased AQPs 1 and 4 at the brain-fluid interfaces may indicate compensatory mechanisms to regulate choroidal cerebrospinal fluid secretion and increase parenchymal fluid absorption in the high-pressure hydrocephalic condition.
General properties of silated hydroxyethylcellulose for potential biomedical applications.

The general properties of hydroxyethylcellulose (HEC) grafted with 3-glycidoxypropyltrimethoxysilane (GPTMS) or 3-glycidoxypropylmethyldiethoxysilane (GPDMS) were studied for potential biomedical applications. The graft involved a Williamson reaction between the free hydroxyl function of HEC and the epoxy function of the two silanes. As the grafted silanes are in ionic form (sodium silanolate), this product remains in gel form at basic pH (>12.3) in aqueous solution. When pH decreases, sodium silanolate is transformed into silanol (2 or 3 silanol functions are carried by silicon, depending on the silane grafted). The silanols interreact, and the gel is transformed into a cross-linking form at room or body temperature. Studies were conducted to optimise this product for specific uses. Steam sterilization was used to compare self-hardening as a function of the silane grafted. Our previous work indicated that HEC grafted with GPTMS has good reactivity, but requires high pH for dissolution, whereas dissolution occurs at lower pH with GPMDS. The rate of silanol condensation for silated HEC was then determined as a function of pH, temperature, type of silane, and the percentage grafted. Condensation rates were ascertained by the viscosity method, and gels were neutralized by different solutions to obtain buffered forms at various pH. The time required to obtain 10(5) mPa x s, with an initial state of 2500 mPa x s, was then calculated. Condensation was catalysed in acid or basic medium at a lower rate at pH 5.5-6.5, and a temperature rise increased the condensation rate, regardless of the pH or silane studied. Silanetriol was more reactive than silanediol. However, as HEC lost considerable viscosity after sterilization, further studies will be conducted to develop new polysaccharides grafted with silane.
Acoustic PPM image processing for underwater communications

Pulse position modulated (PPM) acoustic pulses are difficult to detect since they carry information on delays so, assuring reliable information delivery mainly in shallow sea channels because of strong multipath and other interference sources/causes, large signal fluctuation and high noise level may be considered a timely challenge. This paper proposes a signal analysis based on the Wigner-Ville transform and subsequent image processing so to understand the main characteristics of multipath and interference and their adverse effects on detection of pulse position information. By basing on this approach performance of Maximal Ratio Combining (MRC) and Equal Gain Combining (EGC) have been taken into account.
Is There Really Insufficient Support for Tilman’s R* Concept? A Comment on Miller et al.

Miller et al. (2005), in the American Naturalist (165:439–448), critically reviewed the applicability of Tilman’s resource‐ratio hypothesis. One of their conclusions was that only eight experimental papers support the R* concept, while five do not. We are familiar with some of the latter studies, and we question this conclusion. Our evaluation shows that 12 of the 13 articles investigated by Miller et al. support R* prediction, while one article does not fit the experimental conditions for a proper test. Moreover, the microbial and aquatic literature contains many more competition experiments consistent with the R* prediction. We therefore conclude that there is strong experimental support for the R* concept, at least from studies with bacteria, phytoplankton, and zooplankton.
Communicating Sensory Attributes and Innovation Through Food Product Labeling

Abstract This article explores the influence of food product packaging on consumers’ sensory expectations and perceived newness of the product. Two experiments examine to what extent consumers use product typicality, graphical representations, and package typicality in evaluating new food products. Study 1 finds that (1) a typical flavor induces more positive expectations of pleasantness, taste, color, and smell, and (2) the presence of graphic representation on product labels increases perceived pleasantness but does not affect sensory expectations. Study 2 indicates that the product seems newer in the absence of a package (label-only condition), but when the product packaging is presented, an atypical package conveys more newness than a typical package. These results provide practical guidelines for the design and introduction of innovative food products.
A comparative study of high speed networks

In the management of a modern LAN or campus network, two issues are of key importance, namely network performance and capacity planning. In this paper we report on results from an experimental programme which aims to quantify the performance that can be achieved with a real distributed application running over a range of different network technologies, including Ethernet, ATM, FDDI, and a 100 Mb/s packet-switched LAN. In particular we analyse the contribution of each of the various application and network components to the overall performance experienced by applications.
Influence of Covariance-Based ALS Methods in the Performance of Predictive Controllers With Rotor Current Estimation

The use of online rotor current estimators with predictive current controllers has been very recently stated in five-phase induction motor drives, where the closed-loop performance of the system is improved by using suboptimal estimators based on Kalman filters. In this paper, the interest of using optimization methods in the definition of the Kalman filter, like the covariance technique, is analyzed. Obtained system performances using optimal and suboptimal rotor current estimators are experimentally compared.
Design of Fuzzy C-Means Computed Torque Controller for 2-Link Flexible Robot Manipulator

One of the important challenges that control engineers face in the field of robotics is manipulator control with acceptable performance. The main objective of this paper is to design a Fuzzy C-Means (FCM) controller for the position control of 2-link flexible robot manipulator. The robot manipulators are highly nonlinear, time variant and multiple input multiple outputs (MIMO) in nature. Computed Torque Controller (CTC) is an efficient nonlinear controller for controlling the position of robot manipulators. CTC works well when all the physical and dynamic parameters are known but when the robot manipulator has variation in dynamic parameters, and practically have large amount of uncertainties. Because of this reason, the controller has no acceptable performance. In order to overcome the disadvantages of CTC like not obtaining minimum error, fine trajectory, good disturbance rejection, a two input Fuzzy C-Means controller is proposed to control the position of the robot manipulator. Integration of this Fuzzy C-Means Proportional Derivative controller with Computed Torque Controller (CTC), and its application to two link flexible robot manipulator is also presented. The error in the each joint angle is also observed in this proposed work.In this paper the presented clustering algorithm allows us in classifying the data as distinct groups by using and/or functions. The optimal rule base for the proposed system in this paper is designed by using the clustering technique i.e. FCM technique. The optimal rule base is graphically obtained by using Phase Plane Analysis. The efficacy of the proposed controller is proved by comparing the results with results obtained with the normal conventional Computed Torque Controller (CTC).
Carrier Mobility Extraction Methodology in Junctionless and Inversion-Mode FETs

In this paper, we propose a new method to extract the free carrier mobility in junctionless (JL) double-gate FETs biased in accumulation. We show that, in addition to assuming a well-defined field-dependent mobility law, using the well-known Y-function is not accurate enough in JL FETs. In addition, the new methodology is also interesting for inversion-mode FETs. This approach has been assessed with technology computer-aided design simulations, and confirms its robustness both for JL and inversion-mode devices.
Thermal energy of the crystalline one-component plasma from dynamical simulations.

Molecular-dynamics simulations employing 1024 particles and a high-accuracy spline approximation of the Ewald potential have been used to measure the excess internal energy of the classical one-component plasma in both the fluid and solid (bcc) phases over a wide range (1[le][Gamma][le]2000) of the coupling parameter. The energy data for [Gamma][le]300 are in excellent agreement with previous Monte Carlo calculations for this range, giving an independent corroboration of these calculations. Data in the crystalline regime 170[le][Gamma][le]2000 are used to estimate the coefficients of the anharmonic energy component by least-squares fits. The first coefficient is in reasonable agreement with peturbation-theory predictions, although it is argued that determination of the coefficients in this manner is a rather ill-conditioned problem. The free-energy curves of the fluid and solid phases are found to cross at [Gamma][sub [ital m]][approx]173, in agreement with recent estimates.
Classifying True and False Hebrew Stories Using Word N-Grams

ABSTRACT False story detection is an important and challenging problem. This paper presents a simple and sound methodology that is able to automatically distinguish between true and false Hebrew stories using either psychological or semantic information. The examined corpus contains 96 stories that were composed by 48 native Hebrew speakers who were asked to tell both true and false stories. The features used by the classification model are word unigrams, bigrams, and trigrams. Different experiments on various combinations of these feature sets using five supervised machine learning (ML) methods, the InfoGain feature filtering method, and parameter tuning have been performed. We report on the success of this approach in identifying the correct types of stories. The word unigrams set was superior to all other feature sets. For the first classification task (true and false stories), the logistic regression ML method was the best method, achieving an accuracy of 91.67%. The two decision tree ML methods (J48 and REPTree) also present high accuracy results (90.63% and 87.5%) using only 5 and 4 unigrams, respectively.
No-Shows At a Community Mental Health Clinic: a Pilot Study

Potential patients who do not show up for their first appointments at a mental health clinic represent a puzzling and important phenomenon. When the setting, as in this study, is a multi-ethnic community, the psychosocial determinants for such behaviour are complex indeed. The author presents preliminary data relating clinic no-show rate to the variables of age, sex, presenting problem, and referral source. From the patterns which emerge from the data, certain possible explanations and tentative hypotheses are discussed in relation to previous reports in the literature. Some prac tical, clinical implications of these findings are considered. The results of this pilot project indicate some directions for future investigation in this area.
Autoimmune limbic encephalopathy and anti-Hu antibodies in children without cancer

Objective: The aim of this study was to describe the clinical presentation of children and adolescents with anti-Hu antibodies (Hu-Abs). Methods: This was a retrospective study of children and adolescents with Hu-Abs collected by the French Paraneoplastic Neurological Syndrome (PNS) Reference Center between January 1, 2000 and December 31, 2011. Results: The center identified 251 patients with Hu-Abs. Only 8 patients were younger than 18 years. All of the 243 adult patients had PNS. In contrast, of the 8 children, only 2 (25%, Fisher exact test p = 0.0003) had neuroblastoma and opsoclonus-myoclonus. The other 6 children (5 female and 1 male) presented with limbic encephalitis (progressive personality changes, memory loss, and seizure) and were free of cancer (mean follow-up time: 50 months; range: 34–72 months). Brain MRI scans were abnormal in 4 of the 6 patients, with left, right, or bitemporal T2/fluid-attenuated inversion recovery hyperintensity. Protein levels and cell counts in the CSF were normal in all patients, but numerous oligoclonal bands were observed in 4 patients. All 6 patients received antiepileptic drugs and immunotherapy, but management of epilepsy was difficult in all of them. Five of the children developed cognitive impairments. Conclusion: In children, as in adults, Hu-Abs can be a marker of PNS. However, in contrast to adults, Hu-Abs in children are also associated with an aggressive form of autoimmune nonparaneoplastic limbic encephalitis. Future studies should be conducted to determine the incidence of this syndrome and whether earlier diagnosis and T-cell–directed immunotherapies may improve its prognosis.
3D Online Virtual Museum as e-Learning Tool - A Mixed Reality Experience

The paper discusses the use of 3D online virtual museums as educational instruments for children in economically disadvantaged communities. It discusses the advantages of simulation and immersion as learning enhancements, compared to traditional learning methods, using a case study based on the currently on-going work of development of a virtual museum (www.timemaps.net/timemap/? page_id=6). Presenting chronologically layered information, the museum offers a series of e-learning modules teaching traditional crafts technologies. The current audience is represented by children from a Romanian village community. The paper covers a description of the methodology used, as well as an evaluation of the usefulness of the solution by the target audience. In conclusion, the paper outlines a strategy for further development of the proposed e-learning solution.
GCHap: fast MLEs for haplotype frequencies by gene counting

UNLABELLED GCHap quickly finds maximum likelihood estimates (MLEs) of frequencies of haplotypes given genotype information on a random sample of individuals. It uses the gene counting method but by excluding haplotypes with zero MLE at an early stage, this implementation uses many orders of magnitude less space and time than naive implementations. A second program, ApproxGCHap, is provided to give alternate estimates for data sets with large numbers of loci or large amounts of missing genotypes. AVAILABILITY The Java classes and Javadocs pages for GCHap can be obtained from bioinformatics.med.utah.edu/~alun
Data-driven Saliency Region Detection Based on Undirected Graph Ranking

Highlighting saliency region is still a challenging problem in computer vision. In this paper, we present a data-driven salient region detection method based on undirected graph ranking. It consists of two steps: we first compute priori saliency map on super-pixel image by combining region contrast and center prior information, and then extract saliency map by optimized ranking function based on a new affinity matrix. It is simple and efficient. Furthermore, salient objects can be successfully highlighted with precise details and high consistency. We evaluate the proposed method with three image datasets. The experimental results show that the proposed approach has a good performance in terms with the PR curve, the ROC curve. Key-Words: Image saliency, salient region, affinity matrix, undirected graph ranking
EVALUATION OF FINANCIAL AND BUSINESS PERFORMANCE OF NON-LIFE INSURANCE INDUSTRY IN TAIWAN-AN APPLICATION OF MULTIVARIATE STATISTICS

This research evaluated the operation performance of non-life insurance companies in Taiwan using the Multivariate Statistics. The numerous financial rates were reduced into four indices by factor analysis, which were defined as “Whole Operation”, “Invest Ability”, “Underwriting Profits”, and “Business Ability”. Then, factor scores of the four indices for all companies in each year were computed and these companies were classified into five clusters. The empirical results showed that the financial and business performance of some non-financial holding system companies is similar to that of financial holding system companies. Though quantitative data and business ability of foreign companies were not as good as those of local companies, but their whole operation, profits earning and investment performance had stable growth. The performance of whole operation and invest ability was low through out the impact of financial crisis, but the balances were normal. Overall, the financial and business performance tends to be weaker by year.
Impact of burning mouth syndrome on quality of life

OBJECTIVE: To determine the impact of Burning mouth syndrome (BMS) on the quality of life of patients by means of the World Health Organization Abbreviated Instrument for Quality of Life Assessment (WHOQOL-26). METHODS: A total of 116 patients were selected, 58 with BMS and 58 controls. Individuals with changes in the hemogram and in the blood levels of glucose, iron, folic acid and vitamin B12 were excluded, as well as those who used antidepressant and/or anxiolytic drugs or who showed a salivary flow rate of less than 0.1 mL/min. RESULTS: The overall score of the WHOQOL-26 was significantly lower in the group with the disorder (P<0.001). The patients with BMS also displayed significantly lower scores when compared to controls in relation to the psychological and physical domains of the instrument (P=0.005 and P<0.001, respectively). There was no significant difference between BMS and control patients with respect to scores of the social and environment domains. CONCLUSIONS: BMS interferes with the quality of life of patients in a negative way, and therefore, its management is a challenge for the clinicians, who should treat the individual with this disorder in a broader context.