Miracle-dz/UniFAR-FTUs huggingface dataset:
Key Amino Acid Residues Responsible for the Differences in Substrate Specificity of Human UDP-Glucuronosyltransferase (UGT)1A9 and UGT1A8

Human UDP-glucuronosyltransferase (UGT)1A9 is one of the major isoforms in liver and extrahepatic tissues, catalyzing the glucuronidation of a variety of drugs, dietary constituents, steroids, fatty acids, and bile acids. UGT1A9 shows high amino acid homology with UGT1A7, UGT1A8, and UGT1A10 with overlapping substrate specificity. However, the affinities for substrates are different among them. Amino acid alignment analysis revealed that 14 amino acids, Cys3, Arg42, Lys91, Ala92, Tyr106, Gly111, Tyr113, Asp115, Asn152, Leu173, Leu219, His221, Arg222, and Glu241, are unique to UGT1A9 compared with UGT1A7, UGT1A8, and UGT1A10. In this study, we constructed expression systems in human embryonic kidney 293 cells for seven mutants (Mut) UGT1A9, Mut 1 (R42Q), Mut 2 (K91M, A92D), Mut 3 (Y106F, G111S, D115G), Mut 4 (N152A), Mut 5 (L173A), Mut 6 (L219F, H221Q, R222Y), and Mut 7 (E241A), in which the amino acids were substituted to those of UGT1A8. Using these mutants, the effects of the amino acid changes on the activities of 4-methylumbelliferone (4-MU), p-nitrophenol (p-NP), and 3-hydroxydesloratadine glucuronidations were investigated. For 4-MU and p-NP O-glucuronidations, Mut 1 and Mut 4 exhibited higher Km values and Mut 3 and Mut 4 exhibited higher Vmax values compared with wild-type UGT1A9. It is interesting to note that only Mut 4 was active toward 3-hydroxydesloratadine O-glucuronidation that is specific for UGT1A8. The findings reveal that the residues Arg42 and Asn152 may have a large contribution to the difference in the substrate specificity with that of UGT1A8, although all of the unique amino acids of UGT1A9 would be collectively involved in the catalytic property.
Anonimytext: Anonimization of Unstructured Documents

The anonymization of unstructured texts is nowadays a task of great importance in several text mining applications. Medical records anonymization is needed both to preserve personal health information privacy and enable further data mining efforts. The described ANONYMITEXT system is designed to de-identify sensible data from unstructured documents. It has been applied to Spanish clinical notes to recognize sensible concepts that would need to be removed if notes are used beyond their original scope. The system combines several medical knowledge resources with semantic clinical notes induced dictionaries. An evaluation of the semi-automatic process has been carried on a subset of the clinical notes on the most frequent attributes.
The Sustainable Development of China's Industrial Clusters and Public Policy Choices

The development of China's industrial clusters is based on the background of market economic reform,internationalization,and industrial modernization. At present,the main competitive advantage of China's industrial clusters is characteristic by low cost,located in low-road,where exists competitive advantage gap to support China's development of industrial clusters. Therefore,we have to confront this fact. From evolution perspective,based on path dependence theory,the article focuses on lock-in effects in the development of China's industrial clusters,and according how to avoid or get rid of lock-in,puts forward to relative policy suggestions to support the sustainable development of China's industrial clusters.
Online interactive video content retrieval

This paper describes the on-line video browsing and retrieval platform, so-called OVIDIUS (On-line VIDeo Indexing Universal System). The proposed approach makes it possible to interactively browse video content in a hierarchical and multi-granular manner, while integrating per-segment and per-object navigation, visualization and interaction capabilities Concerning the content retrieval functionalities, the platform integrates an MPEG-7 search engine with both textual and content-based queries.
Barriers to Bolivian participation in the global apparel industry

This paper examines the perceptions of Bolivians engaged in the country's apparel industry regarding barriers and challenges to participation in the global textile and apparel complex. Small Bolivian apparel producers perceive the apparel industry as a source of employment and an opportunity to improve the well being of their families. Government/small business relationships, economic and political uncertainty of trade partners, inadequate infrastructure, a depressed domestic market, and global trade policies were identified by participants as barriers to further development of the apparel industry. Apparel producers require support from both public and private sectors to foster entrepreneurship, promote Bolivian apparel products and join regional production networks to revitalize the apparel industry in Bolivia.
BAMLSS: Bayesian Additive Models for Location, Scale, and Shape (and Beyond)

ABSTRACT Bayesian analysis provides a convenient setting for the estimation of complex generalized additive regression models (GAMs). Since computational power has tremendously increased in the past decade, it is now possible to tackle complicated inferential problems, for example, with Markov chain Monte Carlo simulation, on virtually any modern computer. This is one of the reasons why Bayesian methods have become increasingly popular, leading to a number of highly specialized and optimized estimation engines and with attention shifting from conditional mean models to probabilistic distributional models capturing location, scale, shape (and other aspects) of the response distribution. To embed many different approaches suggested in literature and software, a unified modeling architecture for distributional GAMs is established that exploits distributions, estimation techniques (posterior mode or posterior mean), and model terms (fixed, random, smooth, spatial,…). It is shown that within this framework implementing algorithms for complex regression problems, as well as the integration of already existing software, is relatively straightforward. The usefulness is emphasized with two complex and computationally demanding application case studies: a large daily precipitation climatology, as well as a Cox model for continuous time with space-time interactions. Supplementary material for this article is available online.
Combination of non-classical pseudospectral and direct methods for the solution of brachistochrone problem

In this paper, we propose a combination of non-classical pseudospectral and direct methods to find the solution of brachistochrone problem. The method converts the optimal control problem of brachistochrone, into a sequence of quadratic programming problems. To this end, the quasilinearization method is used to replace the nonlinear optimal control problem into a sequence of constrained linear-quadratic optimal control problems; then each of the state variables is approximated by a weighted interpolation function based on the non-classical orthogonal polynomials. The method gives the information of the quadratic programming problems explicitly (the Hessian and the gradient of the cost function). Using this method, the solution of the brachistochrone problem is compared with those in the literature.
Toward the Reduction of Unwanted Pregnancy.

Fertility attitudes and practices and problems of controlling fertility in the U.S. are presented and the adequacy of current public and private efforts to deal with these problems is discussed. In general all American couples have similar fertility values and use some contraception but the poor are the least successful in practicing effective contraception. The following current program objectives are discussed: improved contraceptive technology increased involvement of private physicians expansion of education programs removal of remaining policy and cultural barriers repeal of abortion laws increased availability of voluntary sterilization creation of an adequate network of family planning services increased public funding and higher priority for family planning. An assessment of present attempts to meet these needs reveals that more time attention energy and funds are necessary to deal with these objectives if voluntary fertility control is to be effective in the U.S.
Simulation Analysis of the ElectroThermal Performance of SOI FinFETs

The GSS ‘atomistic’ simulator GARAND has been enhanced with a thermal simulation module to investigate the impact of self-heating on FinFET DC operation. This thermal simulation module is based on the solution of the coupled Heat Flow, Poisson, and Current Continuity Equations, which is developed for the benefit of computational efficiency. A new formula for the calculation of the thermal conductivity in the fin region is employed considering both fin shape and temperature dependencies. The heat dissipation through the gate is treated by nonhomogeneous Neumann boundary conditions. The electrothermal simulation results for an SOI FinFET example, designed to meet the specifications for the 14/16nm CMOS technology generation, are presented. The lattice temperature profiles under different external thermal resistances connected to the gate and the corresponding Id-Vg characteristics are investigated and analysed. Keywords—FinFET; thermal effects; self-heating effects
Mainstreaming August Strindberg with Text Normalization

This article explores the application of text normalization methods based on Lev-enshtein distance and Statistical Machine Translation to the literary genre, specifically on the collected works of August Strindberg. The goal is to normalize ar-chaic spellings to modern day spelling. The study ﬁnds evidence of success in text normalization, and explores some problems and improvements to the process of analysing mid-19th to early 20th century Swedish texts. This article is part of an ongoing project at Stockholm University which aims to create a corpus and web-friendly texts from Strindsberg’s collected works.
Production game of multifirms with different decision-making patterns

In production market, the decision-making patterns of firms producing a homogeneous kind of products are different. Some are under the control of a dominant firm called centralized pattern. In this case, there is only one decision maker who takes charge of all the firms and attempts to maximize the total utility of the system. Another is decentralized pattern, in which firms plan by themselves. In reality, there always exists a third pattern, where the centralized pattern and decentralized pattern firms are in the same market. This article deals with the last case and studies the effects of decentralized pattern firms’ decisions on centralized pattern firms in the same market, which is described as a Stackelberg game. It is supposed that centralized pattern firms are the leaders who affect the whole market by adjusting the production of each firm. Decentralized pattern firms are the followers who determine their productions in a manner of competitive equilibrium against the given centralized firm’s strategy. This game in this article is formulated as a bilevel programming model. Solution algorithm based on the sensitivity analysis is adopted to solve the model, and a numerical example is given to illustrate the model and algorithm.
Ownership structure and Investment-cash flow sensitivity: A study of Thai firms

I investigate the ownership structure and investmen t-cash flow sensitivity of Thai listed firms over a period of 2001-2008. The results are strongl y supported by the agency costs of free cash flow. The presence of family owners as the largest shareholder reduces the sensitivity of investment and cash flow. The ownership levels of f amily shareholders affect the investmentcash flow sensitivity in an S-shaped relation, supp orting the interest alignment and entrenchment effects. In addition, the investment o f domestic financial institution-owned firms is less sensitive to internal cash flow, implying t hat domestic financial institution could alleviate asymmetric information problems between firms and capital markets. The government-owned, foreign investor-owned and foreign institution-owne d firms have higher investment-cash flow sensitivity. Moreover, there is no evidence showing the potential overinvestment problems of firms in Thailand after the 1997 financial crisis.
ForeSee: A Customizable Head-Mounted Vision Enhancement System for People with Low Vision

Most low vision people have functional vision and would likely prefer to use their vision to access information. Recently, there have been advances in head-mounted displays, cameras, and image processing technology that create opportunities to improve the visual experience for low vision people. In this paper, we present ForeSee, a head-mounted vision enhancement system with five enhancement methods: Magnification, Contrast Enhancement, Edge Enhancement, Black/White Reversal, and Text Extraction; in two display modes: Full and Window. ForeSee enables users to customize their visual experience by selecting, adjusting, and combining different enhancement methods and display modes in real time. We evaluated ForeSee by conducting a study with 19 low vision participants who performed near- and far-distance viewing tasks. We found that participants had different preferences for enhancement methods and display modes when performing different tasks. The Magnification Enhancement Method and the Window Display Mode were popular choices, but most participants felt that combining several methods produced the best results. The ability to customize the system was key to enabling people with a variety of different vision abilities to improve their visual experience.
Feasible control of laser doping profiles in silicon solar cell processing using multiple excitation wavelengths

Laser doping technique in silicon solar cell processing is now gathering many attentions because of its advantages to be performed at room temperature and in the atmosphere. In order to extend the laser doping utility for the further applications, we tried to control laser doping conditions feasibly by using multi-type of lasers with different wavelength of 532 nm and 355 nm. As the result, doping depth was precisely controlled by changing the wavelength of laser and output power, remaining the highest doping concentration as the same value. Especially, using short wavelength laser, the doping depth could be controlled in the shallower region under 0.2 μm. Moreover, Laser doping technique was applied to form the emitter or back surface field of silicon solar cell as the room temperature process. Even by the shallower doping by short wave length, the effective formation of emitter and back surface field was confirmed.
Pattern Search Methods in the Presence of Degeneracy

Abstract : This paper deals with generalized pattern search (GPS) algorithms for linearly constrained optimization. At each iteration, the GPS algorithm generates a set of directions that conforms to the geometry of any nearby linear constraints. This set is then used to construct trial points to be evaluated during the iteration. In previous work, Lewis and Torczon developed a scheme for computing the conforming directions, but it assumed no degeneracy near the current iterate. The contribution of this paper is to provide a detailed algorithm for constructing the set of directions whether or not the constraints are degenerate. One difficulty in the degenerate case is in classifying constraints as redundant and nonredundant. We give a short survey of the main definitions and methods for treating redundancy and propose an approach to identify nonredundant "-active constraints, which may be useful for other active set algorithms. We also introduce a new approach for handling nonredundant linearly dependent constraints, which maintains GPS convergence properties without significantly increasing computational cost. Some simple numerical tests illustrate the effectiveness of the algorithm. We conclude by briefly considering the extension of our ideas to nonlinear constraints with linearly dependent constraint gradients.
Dynamic Pricing and Inventory Management for System with Dual Unreliable Suppliers

http://repository.ust. hk/ir/ This version is available at HKUST Institutional Repository via If it is the author’s pre-published version, changes introduced as a result of publishing processes such as copy-editing and formatting may not be reflected in this document. For a definitive version of this work, please refer to the published version. Dynamic Pricing and Inventory Management for System with Dual Unreliable Suppliers Chao, Xiuli; Gong, Xiting; Zheng, Shaohui
Constant speed VSC of a spherical robot driven by Omni wheels

This paper mainly outlines the model of the invented spherical robot using Omni wheels to drive a spherical wheel. The dynamical model is derived based on Euler Lagrange approach. Therefore, based on the derived model, the variable structure control (VSC) is presented in which the sliding mode control (SMC) is adopted to achieve a constant speed at a vertical balance altitude. Simulations of the proposed control algorithm have been conducted based on two pre-determined sliding surfaces with adjustable parameters to discuss the effective time to enter the sliding surface and the convergence.
Cellular design for a dense RFID reader environment

This paper presents a method for positioning a large number of readers in an RFID cellular deployment zone while taking advantage of frequency and time domain multiplexing. The safe distance among the readers in the proposed cellular structure is calculated considering features such as collisions, local regulations and propagation issues. Using hexagonal cells, the RFID readers and tags are placed in an assumptive environment such as a warehouse building or a supermarket and the reliability of the implementation is estimated by means of calculating the total bit error rate (BER).
Scenario‐based testing using symbolic animation of B models

This article presents a model‐based test generation technique, from user‐defined scenarios, for behavioral models expressed as B machines. Scenarios are expressed using a customized formalism, based on regular expressions, that makes it possible to describe sequences of operation calls possibly reaching specific states of the system. A symbolic animation engine, simulating the execution of a model using constraint logic programming, is then exploited to play the unfolded scenarios on the model and to instantiate the test cases, providing the expected results used to establish the conformance verdict. This approach is tool supported by a research prototype and has been successfully applied in an industrial context of a smart card applet. This tool is extended by a scenario generator, which automatically generates testing strategies for exercising user‐defined properties, written using specific patterns. Copyright © 2012 John Wiley & Sons, Ltd.
Noisy share prices and the Q model of investment

We consider to what extent the empirical failings of the Q model of investment can be attributed to the use of share prices to measure average q. We show that the usual empirical formulation may fail to identify the Q model when stock market valuations deviate from the present value of expected net distributions in ways that are consistent with weak and semi-strong forms of the Efficient Markets Hypothesis. We show that the structural parameters of the Q model can stil be identified in this case using a direct estimate of the firm's fundamental value, and implement this using data on securities analysts' earnings forecasts for a large sample of publicly traded US firms. Our empirical results suggest that stock market valuations deviate significantly from fundamental values. Controlling for this, we find no evidence that the Q model of investment is seriously misspecified.
Prehypertension causes a mounting problem of harmful cardiovascular disease risk in young adults.

Globally, as nations become heavier and food choices become less nutritious, we are experiencing a mounting problem caused by the effects of suboptimal blood pressure (BP) (but not limited solely to this risk factor) on the development of cardiovascular disease (CVD) [1]. The outlook is bleak with the prevalence of hypertension predicted to increase to over 1.5 billion adults worldwide by 2025, up from one billion at the turn of the century [1]. Furthermore, the detrimental effects of elevated BP on heart health have been recognized in individuals with higher than recommended BP [2,3] yet who are not classified as hypertensive patients according to the WHO conventional cutoff of 140 mmHg systolic BP (SBP) or 90 mmHg diastolic BP (DBP).
Sleep and EEG spectra in rats recorded via telemetry during surgical recovery.

STUDY OBJECTIVE To determine sleep and EEG spectra in rats during surgical recovery. DESIGN Sleep, activity, and EEG spectral power were examined in rats via telemetry on days 1, 2, 3, 7, 14, and 15 after implantation surgery. RESULTS NREM sleep and total sleep were increased on days 1 and 2 compared to later days. REM sleep was decreased on days 2 and 3 compared to days 14 and 15, and activity was decreased on days 1 and 2 compared to later days. EEG power (0.5-5 Hz for NREM and wakefulness, and 5.5-10 Hz for REM and wakefulness) was increased on days 1-3 compared to days 7, 14, and 15. CONCLUSION The results are discussed in terms of their implications for post-surgery stabilization of sleep and potential relevance for sleep after injury.
Value of supply chain management of Taiwan’s hospitality industry

Abstract Running a restaurant has always been a favorite business for people in Taiwan. Especially with the blossom of leisure travel and tourism industry it has attracted even more people to this industry. However, due to lack of good management, few restaurants survive and many more go bankrupt. Therefore, in order to improve a restaurant’s chance of success and its competitiveness in the industry, one must bring in the concept of modern management. In recent years supply chain management has been seen as one aspect of modern management that can strength a company’s competitiveness and establish a trusting relationship with its suppliers and customers. Hence, effective supply chain management can help a company acquire a competitive advantage to face future challenges. This research is aimed at studying the supply chain management as a key success factor in the restaurant industry and plans to extract relevant results by way of positive research; in the hope that those results will provide industry an important niche.
Evaluation of Implementation of the Sustainability Agenda for Sustainable Development in a Developing Country

This study investigates the types and implementation of sustainability in a developing country. Sustainability is a major driver in the development and implementation of strategy and business operations in recent times. There is the call for organisations to develop sustainability agenda to ensure the long-term maintenance of systems economically, socially and environmentally. Although there is a growing body of literature in the developed countries on the sustainability agenda in the mining industry, in developing countries however; there is limited research conducted in the mining industry. This paper therefore investigated the types and implementation of the sustainability agenda in Ghana? s mining industry. Due to the scarce relevant research in this area and the peculiar cultural and administrative distance between developing and developed countries, this study adopted a qualitative research approach using the interview tool to develop a deeper meaning and understanding into the types and implementation of the sustainability agenda. Data was analysed using the thematic and narrative analysis.The findings showed that although sustainability agenda is practised in Ghana, the most prevalent types of sustainability agenda in Ghana? s mining industry took the form of Social interventions. For implementation, various programmes and activities are undertaken based on the social interventions.