LLukas22/scidocs huggingface dataset:
EXTRACELLULAR ENZYME PRODUCTION BY INDIGENOUS THERMOPHILIC BACTERIA: PARTIAL PURIFICATION AND CHARACTERIZATION OF α-AMYLASE BY BACILLUS SP. WA21

Thermostability is a characteristic of most of the enzymes available for bulk industrial usage. Thermophilic microorganisms are of special interest as a source of novel thermostable enzymes. A total of 50 bacterial strains, isolated from local hot springs and ash samples were screened for the extracellular enzyme production including amylase, lipase, esterase, cellulase and β-galactosidase. As a follow up, studies on α-amylase were carried out with a bacterial strain identified as Bacillus sp. WA21 (from hot spring) on the basis of maximum zone of starch hydrolysis in agar plate medium. Bacillus WA21 showed growth over a wide range of temperature (35-55oC) and pH (3-11) with optimum being 45oC and pH 6. Maximum enzyme production was observed after 144 hours. The enzyme was found optimally active at 55oC and pH 6. Temperature stability profile revealed that enzyme α-amylase retained more than half of its activity at 85oC and between pH 5-9. Thus, Bacillus WA21 may be regarded as a promising source of α-amylase for biotechnological and industrial applications.
The Logic of Partitions: Introduction to the Dual of the Logic of Subsets

Modern categorical logic as well as the Kripke and topological models of intuitionistic logic suggest that the interpretation of ordinary "propositional" logic should in general be the logic of subsets of a given universe set. Partitions on a set are dual to subsets of a set in the sense of the category-theoretic duality of epimorphisms and monomorphisms--which is reflected in the duality between quotient objects and subobjects throughout algebra. If "propositional" logic is thus seen as the logic of subsets of a universe set, then the question naturally arises of a dual logic of partitions on a universe set. This paper is an introduction to that logic of partitions dual to classical subset logic. The paper goes from basic concepts up through the correctness and completeness theorems for a tableau system of partition logic.
The impact of HIV/AIDS on children's educational outcome: a critical review of global literature.

The number of children losing one or both parents to HIV/AIDS has continued to rise in the past decade, with most of them being school-aged children. This study reviews global literature on the effects of HIV/AIDS (e.g., parental HIV-related illness or death) on children's schooling. Systematic review procedures generated 23 studies for examination. Existing studies show educational disadvantages among children affected by AIDS in various educational outcomes, including school enrollment and attendance, school behavior and performance, school completion, and educational attainment. A number of individual and contextual factors potentially moderate or mediate the effect of HIV/AIDS on children's education. These factors include gender of child, pattern of parental loss (maternal vs. paternal vs. dual), living arrangement (relationship with caregivers, gender of the household head), and household poverty. Current literature indicates limitations in number and scope of existing studies and in educational outcome measurements. There is a lack of studies with longitudinal design and data collection from multiple sources (e.g., students, teachers, caregivers), and a lack of studies on the relationship between psychosocial well-being of children affected by AIDS and their educational outcomes. Future studies need to employ more rigorous methodology and incorporate both individual and contextual factors for children affected by AIDS in various regions. More efforts are needed to design and implement culturally appropriate and context-specific approaches to improve the educational outcomes of children affected by AIDS.
An Organizational Approach to Comparative Corporate Governance: Costs, Contingencies, and Complementarities

This paper develops an organizational approach to corporate governance and assesses the effectiveness of corporate governance and implications for policy. Most corporate governance research focuses on a universal link between corporate governance practices (e.g. board structure, shareholder activism) and performance outcomes, but neglects how interdependences between the organization and diverse environments lead to variations in the effectiveness of different governance practices. In contrast to such ‘closed systems’ approaches, we propose a framework based on ‘open systems’ approaches to organizations which examines these organizational interdependencies in terms of the costs, contingencies, and complementarities of different corporate governance practices. These three sets of organizational factors are useful in analyzing the effectiveness of corporate governance in diverse organizational environments. We also explore how costs, contingencies, and complementarities impact effectiveness of different governance aspects through the use of stylized cases and discuss the implications for different approaches to policy such as ‘soft-law’ or ‘hard law’.
Immune Adjuvant Effect of Molecularly-defined Toll-Like Receptor Ligands

Vaccine efficacy is optimized by addition of immune adjuvants. However, although adjuvants have been used for over a century, to date, only few adjuvants are approved for human use, mostly aimed at improving vaccine efficacy and antigen-specific protective antibody production. The mechanism of action of immune adjuvants is diverse, depending on their chemical and molecular nature, ranging from non-specific effects (i.e., antigen depot at the immunization site) to specific activation of immune cells leading to improved host innate and adaptive responses. Although the detailed molecular mechanism of action of many adjuvants is still elusive, the discovery of Toll-like receptors (TLRs) has provided new critical information on immunostimulatory effect of numerous bacterial components that engage TLRs. These ligands have been shown to improve both the quality and the quantity of host adaptive immune responses when used in vaccine formulations targeted to infectious diseases and cancer that require both humoral and cell-mediated immunity. The potential of such TLR adjuvants in improving the design and the outcomes of several vaccines is continuously evolving, as new agonists are discovered and tested in experimental and clinical models of vaccination. In this review, a summary of the recent progress in development of TLR adjuvants is presented.
Augmented reality for board games

We introduce a new type of Augmented Reality games: By using a simple webcam and Computer Vision techniques, we turn a standard real game board pawns into an AR game. We use these objects as a tangible interface, and augment them with visual effects. The game logic can be performed automatically by the computer. This results in a better immersion compared to the original board game alone and provides a different experience than a video game. We demonstrate our approach on Monopoly− [1], but it is very generic and could easily be adapted to any other board game.
Grid connection of offshore wind farm based DFIG with low frequency AC transmission system

This paper uses a simulation to investigate the feasibility of applying low frequency AC (LFAC) transmission technology to connect large offshore wind farms to the onshore power system. Compared to the conventional AC transmission system with a power frequency of 50 or 60 Hz, the LFAC system can transfer more power through longer distance and with lower investment costs than the HVDC solution. Firstly, the characteristics of power cable operation at low frequency are discussed. Then a grid connection of an offshore wind farm based on a doubly fed induction generator (DFIG) through LFAC is studied. The simulation results show that there are no difficulties for the wind farm based DFIG when it operates at low frequency. Moreover, the reactive power control at the line side of DFIG can be applied to improve the operation of the cable.
Persisting big-data: The NoSQL landscape

The growing popularity of massively accessed Web applications that store and analyze large amounts of data, being Facebook, Twitter and Google Search some prominent stores, known as NoSQL databases, has arisen. This paper reviews implementations of NoSQL databases in order to provide an understanding of current tools and their uses. First, NoSQL databases are compared with traditional RDBMS and important concepts are explained. Only databases allowing to persist data and distribute them along different computing nodes are within the scope of this review. Moreover, NoSQL databases are divided into different types: Key-Value, Wide-Column, Document-oriented and Graphoriented. In each case, a comparison of available databases is carried out based on their most important features. & 2016 Published by Elsevier Ltd.
Implementing NB-IoT in Software - Experiences Using the srsLTE Library

NB-IoT is the 3GPP standard for machine-tomachine communications, recently finalized within LTE release 13. This article gives a brief overview about this new LTE-based radio access technology and presents a implementation developed using the srsLTE software radio suite. We also carry out a performance study in which we compare a theoretical analysis with experimental results obtained in our testbed. Furthermore, we provide some interesting details and share our experience in exploring one of the worldwide first commercial NB-IoT deployments. Keywords—NB-IoT, LTE, Software Defined Radio, srsLTE
Rehabilitation of Concussion and Post-concussion Syndrome

CONTEXT
Prolonged symptoms after concussion are called post-concussion syndrome (PCS), which is a controversial disorder with a wide differential diagnosis.


EVIDENCE ACQUISITION
MEDLINE and PubMed searches were conducted for the years 1966 to 2011 using the search terms brain concussion/complications OR brain concussion/diagnosis OR brain concussion/therapy AND sports OR athletic injuries. Secondary search terms included post-concussion syndrome, trauma, symptoms, metabolic, sports medicine, cognitive behavioral therapy, treatment and rehabilitation. Additional articles were identified from the bibliographies of recent reviews.


RESULTS
Of 564 studies that fulfilled preliminary search criteria, 119 focused on the diagnosis, pathophysiology, and treatment/rehabilitation of concussion and PCS and formed the basis of this review. Rest is the primary treatment for the acute symptoms of concussion. Ongoing symptoms are either a prolonged version of the concussion pathophysiology or a manifestation of other processes, such as cervical injury, migraine headaches, depression, chronic pain, vestibular dysfunction, visual dysfunction, or some combination of conditions. The pathophysiology of ongoing symptoms from the original concussion injury may reflect multiple causes: anatomic, neurometabolic, and physiologic.


CONCLUSIONS
Treatment approaches depend on the clinician's ability to differentiate among the various conditions associated with PCS. Early education, cognitive behavioral therapy, and aerobic exercise therapy have shown efficacy in certain patients but have limitations of study design. An algorithm is presented to aid clinicians in the evaluation and treatment of concussion and PCS and in the return-to-activity decision.
Multi-criteria decision making on strategic selection of wind farms

With maturity of advanced technologies and urgent requirement for maintaining a healthy environment with reasonable price, China is moving toward a trend of generating electricity from renewable wind resources. How to select a suitable wind farm becomes an important focus for stakeholders. This paper first briefly introduces wind farm and then develops its critical success criteria. A new multi-criteria decision-making (MCDM) model, based on the analytic hierarchy process (AHP) associated with benefits, opportunities, costs and risks (BOCR), is proposed to help select a suitable wind farm project. Multiple factors that affect the success of wind farm operations are analyzed by taking into account experts’ opinions, and a performance ranking of the wind farms is generated. 2008 Elsevier Ltd. All rights reserved.
The museum in America : innovators and pioneers

chapter 1 Foreword chapter 2 Introduction: Toward a Definition of the American Museum chapter 3 Henry Fairfield Osborn Develops a Model Natural History Museum chapter 4 Carl Ethan Akeley Perfects the Habitat Group Exhibition chapter 5 Henry Watson Kent Standardizes Functions of the Art Museum chapter 6 Alfred Hamilton Barr Jr. Brings Modern Art to the Museum chapter 7 Reuben Gold Thwaites Makes a Historical Society Reach the People of a State chapter 8 William Sumner Appelton Preserves Important Sites Throughout New England chapter 9 Frank Friedman Oppenheimer Uses Visitors as Part of Museum Experiments chapter 10 Anna Billings Gallup Popularizes the First Children's Museum chapter 11 John Robert Kinard Expands the Neighborhood Museum chapter 12 Katherine Coffey Attracts the Community into a General Museum chapter 13 Charles Sprague Sargent Plants an Outstanding Botanical Garden chapter 14 William Temple Hornaday Founds a Varied and Popular Zoo chapter 15 Paul Joseph Sachs Teaches a Pioneering Course in Museum Studies chapter 16 Epilogue: The American Museum Progresses chapter 17 Index
Simultaneous feature selection and feature weighting using Hybrid Tabu Search/K-nearest neighbor classifier

Feature selection and feature weighting are useful techniques for improving the classification accuracy of K-nearest-neighbor (K-NN) rule. The term feature selection refers to algorithms that select the best subset of the input feature set. In feature weighting, each feature is multiplied by a weight value proportional to the ability of the feature to distinguish pattern classes. In this paper, a novel hybrid approach is proposed for simultaneous feature selection and feature weighting of K-NN rule based on Tabu Search (TS) heuristic. The proposed TS heuristic in combination with K-NN classifier is compared with several classifiers on various available data sets. The results have indicated a significant improvement in the performance in classification accuracy. The proposed TS heuristic is also compared with various feature selection algorithms. Experiments performed revealed that the proposed hybrid TS heuristic is superior to both simple TS and sequential search algorithms. We also present results for the classification of prostate cancer using multispectral images, an important problem in biomedicine. 2006 Elsevier B.V. All rights reserved.
Experience report: CS1 for majors with media computation

Previous reports of a media computation approach to teaching programming have either focused on pre-CS1 courses or courses for non-majors. We report the adoption of a media computation context in a majors' CS1 course at a large, selective R1 institution in the U.S. The main goal was to increase retention of majors, but do so by replacing the traditional CS1 course directly (fully preparing students for the subsequent course). In this paper we provide an experience report for instructors interested in this approach. We compare a traditional CS1 with a media computation CS1 in terms of desired student competencies (analyzed via programming assignments and exams) and find the media computation approach to focus more on problem solving and less on language issues. In comparing student success (analyzed via pass rates and retention rates one year later) we find pass rates to be statistically significantly higher with media computation both for majors and for the class as a whole. We give examples of media computation exam questions and programming assignments and share student and instructor experiences including advice for the new instructor.
Driver inattention and driver distraction in serious casualty crashes: data from the Australian National Crash In-depth Study.

Driver inattention and driver distraction represent a major problem in road safety. Although both are believed to contribute to increased crash risk, there is currently limited reliable information on their role in crashes. The current study used in-depth data from the Australian National Crash In-depth Study to investigate the role of driver distraction and inattention in serious casualty crashes. The sample included 856 crashes from 2000 to 2011, in which at least one party was admitted to hospital due to crash-related injuries. Crashes were coded using a taxonomy of driver inattention that delineates five inattention subtypes: restricted attention, misprioritised attention, neglected attention, cursory attention, and diverted attention (distraction). Approximately 45% of crashes could not be coded due to insufficient information while in an additional 15% the participant indicated the "other driver was at fault" without specifying whether inattention was involved. Of the 340 remaining cases, most showed evidence of driver inattention (57.6%) or possible inattention (5.9%). The most common subtypes of inattention were restricted attention, primarily due to intoxication and/or fatigue, and diverted attention or distraction. The most common types of distraction involved voluntary, non-driving related distractions originating within the vehicle, such as passenger interactions. The current study indicates that a majority of serious injury crashes involve driver inattention. Most forms of inattention and distraction observed are preventable. This study demonstrates the feasibility of using in-depth crash data to investigate driver inattention in casualty crashes.
The GPCR OGR1 (GPR68) mediates diverse signalling and contraction of airway smooth muscle in response to small reductions in extracellular pH.

BACKGROUND AND PURPOSE
Previous studies have linked a reduction in pH in airway, caused by either environmental factors, microaspiration of gastric acid or inflammation, with airway smooth muscle (ASM) contraction and increased airway resistance. Neural mechanisms have been shown to mediate airway contraction in response to reductions in airway pH to < 6.5; whether reduced extracellular pH (pHo) has direct effects on ASM is unknown.


EXPERIMENTAL APPROACH
Intracellular signalling events stimulated by reduced pHo in human cultured ASM cells were examined by immunoblotting, phosphoinositide hydrolysis and calcium mobilization assays. ASM cell contractile state was examined using magnetic twisting cytometry. The expression of putative proton-sensing GPCRs in ASM was assessed by real-time PCR. The role of ovarian cancer G protein-coupled receptor 1 (OGR1 or GPR68) in acid-induced ASM signalling and contraction was assessed in cultures subjected to siRNA-mediated OGR1 knockdown.


KEY RESULTS
ASM cells responded to incremental reductions in pHo (from pH 8.0 to pH 6.8) by activating multiple signalling pathways, involving p42/p44, PKB, PKA and calcium mobilization. Coincidently, ASM cells contracted in response to decreased pHo with similar 'dose'-dependence. Real-time PCR suggested OGR1 was the only proton-sensing GPCR expressed in ASM cells. Both acid-induced signalling (with the exception of PKB activation) and contraction were significantly attenuated by knockdown of OGR1.


CONCLUSIONS AND IMPLICATIONS
These studies reveal OGR1 to be a physiologically relevant GPCR in ASM cells, capable of pleiotropic signalling and mediating contraction in response to small reductions in extracellular pH. Accordingly, ASM OGR1 may contribute to asthma pathology and represent a therapeutic target in obstructive lung diseases.
A randomised controlled trial of the efficacy of supported employment.

OBJECTIVE
  Although numerous randomised controlled trials indicated the superiority of supported employment (SE), we still have too little evidence that SE is more effective than traditional vocational rehabilitation programmes (TVR) in Western European countries with highly developed social security and welfare systems, sophisticated rehabilitation programmes and high thresholds to the open labour market. The aim of this study is to prove the efficacy of SE in Switzerland.


METHOD
  Following a 2-week intake assessment, 100 unemployed persons with stabilised severe mental illness (SMI) were randomly assigned to either the SE programme (n=46) or to the most viable locally available TVR (n=54). Follow-up lasted 24 months.


RESULTS
  After the first year, the rate of competitive employment reached a mean level of 48.2% in the SE group and of 18.5% in the TVR group. 58.7% of the SE group were ever competitively employed as opposed to 25.9% of the TVR group. In the second year, SE group participants were competitively employed for 24.5 weeks as compared with 10.2 in the TVR group. The groups showed no significant differences in the non-vocational outcome criteria.


CONCLUSION
  The SE programme in Switzerland also proved more effective than TVR and seems to be applicable to the socio-economic context of Western European countries.
Modal Identification Study of Vincent Thomas Bridge Using Simulated Wind-Induced Ambient Vibration Data

In this article, wind-induced vibration response of Vincent Thomas Bridge, a suspension bridge located in San Pedro near Los Angeles, California, is simulated using a detailed three-dimensional finite element model of the bridge and a state-of-the-art stochastic wind excitation model. Based on the simulated wind-induced vibration data, the modal parameters (natural frequencies, damping ratios, and mode shapes) of the bridge are identified using the data-driven stochastic subspace identification method. The identified modal parameters are verified by the computed eigenproperties of the bridge model. Finally, effects of measurement noise on the system identification results are studied by adding zero-mean Gaussian white noise processes to the simulated response data. Statistical properties of the identified modal parameters are investigated under an increasing level of measurement noise. The framework presented in this article will allow us to investigate the effects of various realistic damage scenarios in long-span cable-supported (suspension and cable-stayed) bridges on changes in modal identification results. Such studies are required to develop robust and reliable vibration-based structural health monitoring methods for this type of bridge, which is a long-term research objective of the authors. ∗To whom correspondence should be addressed. E-mail: jpconte@ ucsd.edu.
6D Relocalisation for RGBD Cameras Using Synthetic View Regression

With the advent of real-time dense scene reconstruction from handheld RGBD cameras [1], one key aspect to enable robust operation is the ability to relocalise in a previously mapped environment or after loss of measurement. Tasks such as operating on a workspace, where moving objects and occlusions are likely, require a recovery competence in order to be useful. For RGBD cameras, this must also include the ability to relocalise in areas with reduced visual texture.
Development of An All Solid State Bipolar Rectangular Pulse Adder

Since bipolar high-voltage pulses is more effective in the treatment of air purification, water treatment, and other applications than unipolar pulses, a newly developed bipolar high-voltage rectangular pulse adder is proposed with a new control strategy. The structure of the all solid state pulse adder based on the half-bridge structure has been improved by changing the driving signal of the MOSFETS in the main circuit to obtain high-voltage rectangular narrow pulses. Magnetic ring transformers with a common primary winding and rectifiers were employed to charge capacitors under a high frequency. Improved phase shift control strategy is proposed, which makes it possible to generate unipolar or bipolar pulses with or without chopping off over resistive and capacitive loads. The bias voltage in the pulse removed and the size of magnetic cores is reduced. A nine-stage laboratory prototype is assembled. Experimental results show that unipolar and bipolar rectangular pulses with an amplitude of 4 kV, frequency of 12 kHz, pulsewidth of 600 ns– $4~\mu \text{s}$ , and rise time of 80 ns are obtained over different loads.