Miracle-dz/UniFAR-FTUs huggingface dataset:
A structure-derived snap-trap mechanism of a multispecific serpin from the dysbiotic human oral microbiome

Enduring host-microbiome relationships are based on adaptive strategies within a particular ecological niche. Tannerella forsythia is a dysbiotic member of the human oral microbiome that inhabits periodontal pockets and contributes to chronic periodontitis. To counteract endopeptidases from the host or microbial competitors, T. forsythia possesses a serpin-type proteinase inhibitor called miropin. Although serpins from animals, plants, and viruses have been widely studied, those from prokaryotes have received only limited attention. Here we show that miropin uses the serpin-type suicidal mechanism. We found that, similar to a snap trap, the protein transits from a metastable native form to a relaxed triggered or induced form after cleavage of a reactive-site target bond in an exposed reactive-center loop. The prey peptidase becomes covalently attached to the inhibitor, is dragged 75 Å apart, and is irreversibly inhibited. This coincides with a large conformational rearrangement of miropin, which inserts the segment upstream of the cleavage site as an extra β-strand in a central β-sheet. Standard serpins possess a single target bond and inhibit selected endopeptidases of particular specificity and class. In contrast, miropin uniquely blocked many serine and cysteine endopeptidases of disparate architecture and substrate specificity owing to several potential target bonds within the reactive-center loop and to plasticity in accommodating extra β-strands of variable length. Phylogenetic studies revealed a patchy distribution of bacterial serpins incompatible with a vertical descent model. This finding suggests that miropin was acquired from the host through horizontal gene transfer, perhaps facilitated by the long and intimate association of T. forsythia with the human gingiva.
The evolution of organizational routines: A longitudinal event-sequence analysis of product-development processes.

While the connotation of some core organizational processes as routines and capabilities has become common in strategic management literature, little progress has been made towards a fine-grained understanding of how these organizational entities come into being and evolve, and of the role specific organizational actors play within these processes. To better understand the evolution of routines and capabilities, and the role of managerial agency within these processes, I engaged in an inductive, longitudinal study of 90 new product development processes at IdeaDesign, a European firm among the world leaders in design household products. Adopting sequential analysis methods coupled with optimal matching techniques and cluster analysis, I describe different clusters of NPD processes, and related different roles played by internal and external agents in shaping the firm’s product-innovation capabilities.
Memory dysfunction in panic disorder: an investigation of the role of chronic benzodiazepine use

Background: Studies of the neurocognitive effects of long‐term benzodiazepine use have been confounded by the presence of neurocognitive deficits characterizing the clinical conditions for which these medications are taken. Similarly, studies of the neurocognitive effects of anxiety disorders have been confounded by the inclusion of chronically benzodiazepine‐medicated patients. This study was designed to tease apart the potentially confounding effects of long‐term benzodiazepine use and panic disorder (PD) on memory and visuoconstructive abilities. Methods: Twenty chronically benzodiazepine‐medicated and 20 benzodiazepine‐free patients with PD with agoraphobia were compared with a group of 20 normal control participants, group‐matched for age, education, and gender on a battery of neuropsychological tests assessing short‐term, episodic long‐term, and semantic memory, as well as visuoconstructive abilities. Results: Results indicated that benzodiazepine‐free panic patients were relatively impaired in nonverbal short‐term and nonverbal episodic long‐term memory and visuoconstructive abilities, whereas verbal short‐term and verbal episodic memory and semantic memory were preserved. Only limited evidence was found for more pronounced impairments in chronically benzodiazepine‐medicated PD patients. Conclusions: This study provides evidence that patients with PD are characterized by relative impairments in nonverbal memory and visuoconstructive abilities, independent of benzodiazepine use. Nonetheless, we found evidence that chronic treatment with benzodiazepines is associated with intensification of select relative impairments in this realm. Documentation of these deficits raises questions about the broader etiology of neurocognitive impairment in PD as well as its impact on daily functioning. Depression and Anxiety, 2011. © 2011 Wiley Periodicals, Inc.
Adapting Wind Map Principles to Urban Transportation Flow

City planners require an effective visualization of urban transportation flow as both a problem-solving and communication tool. However, there are limitations over existing representation of migration flow across transportation networks. In this paper, we propose adapting wind map principles to the new domain of urban transportation flow, by creating new encodings and developing both static and dynamic flow visualizations for the CitiBike NYC dataset. We test the effectiveness of our visualization by collecting a qualitative evaluation of our novel visualization against a baseline evaluation of the control’s migration tables. We discuss how our visualization allows a more intuitive, high-level overview of the data and describe the differences in how novices and experts in the transportation field interpret the encodings, data, and make decisions based on the our novel visualization. Author
Consumers’ Grouping of Organic and Conventional Food Products—Implications for the Marketing of Organics

A detailed account of the way consumers choose to group different varieties of organic and conventional food produce might have practical implications in terms of improved space management in supermarkets and better targeted promotions of organic products. The results presented here were obtained in a case study using a web-based questionnaire and 849 Danish consumers. The consumers were asked to group the contents of a virtual basket of organic and non-organic fruits and vegetables into two smaller baskets. A significant share of the consumers grouped the food products according to whether or not they were organic. These consumers were found to have significantly higher levels of confidence in the benefits of organic produce, to state significantly higher levels of organic consumption and higher willingness to pay for organoleptic attributes of fresh milk, than consumers who placed fruits in one basket and vegetables in the other.
CONSUMERS' USE OF BLOGS AS PRODUCT INFORMATION SOURCES: FROM NEED-FOR-COGNITION PERSPECTIVE

This study investigated the potential influence of word-of-mouth (WOM) and need-for-cognition (NFC) on consumer information search in the blogosphere. This study, in particular examined how consumers perceive corporate and consumer-generated blogs as product/brand information sources. The results of an online survey indicated that NFC and susceptibility to WOM influenced consumer’s information search process, ultimately leading to purchase intent. The findings also showed that while high NFC individuals showed more favorable attitudes toward consumer-generated blogs over corporate blogs as an information source, low NFC individuals did not have a specific preference for either type of blog. In addition, participants reported greater purchase intent for products addressed in consumer-generated blogs than corporate blogs. This difference in purchase intent existed even when their attitudes toward both types of blogs and the brands/products mentioned there were regarded similarly.
A conceptual model for adoption of information communication technology in the travel and tourism industry

ABSTRACT The tourism industry was among the early adopters of information and communication technology (ICT), such as the Computer Reservation System of the early 1950s and the adoption of Global Distribution Systems in the late 1980s. However, after several decades of ICT adoption, the degree of adoption as well as use of ICT among enterprises related to travel and tourism (T&T) has been quite uneven. The objective of this study is to provide a model that explains the ICT adoption process in the T&T industry through a combination of Adoption Diffusion (AD) and Usage Diffusion (UD). The model incorporates the UD concepts of variety of use and rate of use with the perceived usefulness concept of AD. The UD model, unlike the AD model, focuses on the extent of use rather than on the act of adoption. The model consists of three main parts, namely, determinants, user patterns and outcomes. Based on these three dimensions, adopters are categorized into eight groups: Tech-Savvy, Obligatory, Early Adopter, Focused, Limited, Constrained, Follower and Laggards. The model was empirically tested and the results show that perceived usefulness is an important element in the adoption process. This model will be a ready reference for professionals, managers working in T&T firms, policy makers and government bodies in strategy formulation. It will also help IT professionals and researchers who work in the T&T domain.
An 18-mW two-stage CMOS transimpedance amplifier for 10 Gb/s optical application

This paper presents a low power and wideband transimpedancc amplifier (TIA) design for 10 Gb/s optical receiver. Using a 0.18-mum CMOS technology, this TIA adopts a two-stage topology with inductive shunt-peaking and series-peaking techniques to optimize the power consumption and bandwidth performance. The measured -3-dB bandwidth is 8.6 GHz in the presence of a 0.15-pF photodiode capacitance. The transimpedance gain is 59 dB Omega with only 18 mW power consumption from a 1.8-V supply. The measured input referred noise current is less than 25 pA / V Hz up to 9 GHz.
A comparative study of predictive models for program changes during system testing and maintenance

By modeling the relationship between software complexity attributes and software quality attributes, software engineers can take actions early in the development cycle to control the cost of the maintenance phase. The effectiveness of these model-based actions depends heavily on the predictive quality of the model. An enhanced modeling methodology that shows significant improvements in the predictive quality of regression models developed to predict software changes during maintenance is applied here. The methodology reduces software complexity data to domain metrics by applying principal components analysis. It then isolates clusters of similar program modules by applying cluster analysis to these derived domain metrics. Finally, the methodology develops individual regression models for each cluster. These within-cluster models have better predictive quality than a general model fitted to all of the observations. <<ETX>>
An Improved Penalty Parameter Selection Procedure for the Lasso ARX

Many recent developments in the statistical time series literature have centered around incorporating the Lasso, a feature selection procedure originally designed for least squares problems, to applications with time dependent data. The Lasso requires the specification of a penalty parameter that determines the degree of sparsity to impose. The most popular cross validation approaches that respect time dependence are very computationally intensive and not appropriate for modeling certain classes of time series. We propose a novel adaptive penalty parameter selection procedure that takes advantage of the sequentially observed nature of time series data to improve both computational performance and forecast accuracy in comparison to existing methods.
The Application of Functional Dependency Theory to Relational Databases

This paper examines three areas where the application of functional dependency theory to relational databases has had an impact. These areas are relational views, database translation and logical database design. The paper refines our earlier work on relational views in which the concepts of consistent and updatable views were proposed. In the area of database translation, it identifies six levels of information preserving relational transformations. Finally, a relational database design algorithm is proposed which combines the best features of the classical synthesis and decomposition approaches while avoiding their identified shortcomings. INTRODUCTION This paper shows, that functional dependency theory provides a unified framework for the analysis of several database problems. The paper represents both a synthesis and extension of our earlier work on each of these problems. The first section contains background infor- mation to familiarize the reader with the terminology and concepts of functional dependency theory. In the second section, functional dependencies are used to define the concepts of consistent and updatable views. Basically, a 'consistent view' is one whose interpretation is consistent with that of the underlying database. An 'updatable view' is one whose updates can be translated into appropriate updates of the underlying database. Together, these definitions describe a class of useable views. In section three, six levels of information preserving relational transformations are identified. These levels reflect the different degrees with which transformations preserve the update and retrieval properties of databases. These levels are important since previously many applications have mistakenly assumed that all the information embodied in their database is preserved by the restructuring operations they have employed. Finally, some shortcomings of the classical synthesis and decomposition approaches to relationship database design are identified in the fourth section. A new algorithm is then proposed which combines the best features of these approaches while avoiding their iden- tified shortcomings.
CMOS wideband amplifiers using multiple inductive-series peaking technique

This work presents the technique of multiple inductive-series peaking to mitigate the deteriorated parasitic capacitance in CMOS technology. Employing multiple inductive-series peaking technique, a 10-Gb/s optical transimpedance amplifier (TIA) has been implemented in a 0.18-/spl mu/m CMOS process. The 10-Gb/s optical CMOS TIA, which accommodates a PD capacitor of 250 fF, achieves the gain of 61 dB/spl Omega/ and 3-dB frequency of 7.2 GHz. The noise measurement shows the average noise current of 8.2 pA//spl radic/Hz with power consumption of 70 mW.
Producing Environmentally Acceptable Cosmetics? The Impact of Environmentalism on the United Kingdom Cosmetics and Toiletries Industry

The Cardiff Business School, University of Wales, is currently undertaking a research programme on the influence of environ‐mentalism upon the United Kingdom cosmetics and toiletries market. This paper examines four main areas in relation to the environment and the development of environmentally acceptable products. The survey considers products and their environmentally acceptable attributes; the research of companies into the production of environmentally acceptable products; the production processes of companies and the environmentally conscious activities of companies.
model Integrating e-commerce into existing export marketing theories: A contingency

Current theory on export marketing is based on the assumption that each exporting decision is made in isolation, whereby a set of factors are considered for single market entry only, without the consideration of simultaneous entry into multiple foreign markets. Because e-commerce is able to provide instantaneous access to numerous global markets, recent technological advances force us to rethink whether existing theoretical frameworks are sufficient in explaining today’s export marketing strategies. A review of the recent export literature suggests that a new paradigm may be needed to take into consideration the electronic marketplace, both in the process of entering markets, and in the management of operations within those markets. The purpose of this article is to present a model that integrates e-commerce into existing theories on export marketing. Specifically, the aim is to develop a theoretical framework that: (a) extends existing export marketing theories by incorporating ecommerce strategy; (b) proposes a contingency approach to compare and contrast the relationship among environmental variables, export market strategy and export performance; and, (c) provides a clear direction for future research through the development of research propositions investigating the role of e-commerce strategy in the exporting process.
Throwing caution to the wind: The effect of CEO stock option pay on the incidence of product safety problems

type="main" xml:id="smj2277-abs-0001"> Stock options are thought to align the interests of CEOs and shareholders, but scholars have shown that options sometimes lead to outcomes that run counter to what they are meant to achieve. Building on this research, we argue that options promote a lack of caution in CEOs that manifests in a higher incidence of product safety problems. We also posit that this relationship varies across CEOs, and that the effect of options will depend upon CEO characteristics such as tenure and founder status. Analyzing product recall data for a large sample of FDA-regulated companies, we find support for our theory . Copyright © 2014 John Wiley & Sons, Ltd.
Survey on Robot Vision : Techniques , Tools and Methodologies

Robotics and Vision demands Artificial Intelligence (AI) techniques to develop devices which are capable of interacting with the physical world. The accuracy of AI devices such as Robot interfacing with physical world purely depends on how effectively the devices perform the operations. The effectiveness of the Robot is sensitive to the vision techniques adopted in the application. So the vision techniques and methodologies play significant role in design of autonomous and self controlled Robots for real life applications. Thus this article presents the review of various Robot vision techniques and methodologies adopted currently for processing images captured by robot vision modules that further enhances the accuracy of Robot. Finally, the survey on image processing methodologies adopted by robot vision is summarized to identify the optimal method for future research on robot vision.
Risk of mucocutaneous toxicities in patients with solid tumors treated with sunitinib: a critical review and meta analysis

Introduction: we performed a systematic review and meta-analysis of mucocutaneous toxicities associatedwith sunitinib, an oral multi-tyrosine kinase inhibitor. Methods: eligible studies included randomized Phase II and III trials of patients with solid tumors on sunitinib daily, describing events of hand–foot syndrome, skin rash, stomatitis, and skin and hair discoloration. Results: the relative risk (RR) of all-grade hand–foot skin reaction, skin rash, stomatitis, skin and hair discoloration were 2.12 (95% CI: 1.28–3.51; p < 0.004), 1.33 (95% CI: 1.15–1.54; p < 0.0002), 1.88 (95% CI: 1.36–2.59; p = 0.0001), 16.6 (95% CI: 4.18–64.94 p < 0.003), 4.42 (95% CI: 0.8–24.5; p < 0.09); respectively. Conclusions: our meta-analysis has demonstrated that sunitinib is associated with a higher risk of developing all-grade hand–foot skin reaction, skin rash, stomatitis and skin discoloration compared with control. Clinicians should be aware of these risks and perform regular clinical monitoring.
Ideal Participants in Online Market Research: Lessons from Closed Communities

Online market research communities are dependent upon their members' participation, which in turn provides market intelligence for community operators. However, people join these communities for different reasons. The selection process for market research community members and the moderation process of these communities have a number of pitfalls, which can result in misleading interpretations of intelligence and flawed decisions based on their contributions. Using social capital theory in conjunction with research on different motivational types of participant, this paper focuses on lessons from commercially operated, closed online market research communities; it provides us with insights on membership selection and community moderation methods. The practical finding is that the ideal participant of such communities would be attracted by activities and rewards, which do not directly or obviously relate to the specific objective of an online market research community.
Effects of contact employee supports on critical employee responses and customer service evaluation

This paper examines several sources of support for contact employees in service encounters. These sources of support, including organization support, supervisory support, and customer's participation, are proposed to affect the attitudes and behaviors of employees, and consequently affect customer's perceptions of employees' service quality. This study, which combines perceptions from customers and their contact employees, shows that three sources of support for employees contribute significantly to job satisfaction and employee service quality, while perceived organizational support and customer participation affect service effort. Also, the empirical results indicate that both employee service effort and job satisfaction play strong, central roles in determining customers' perceptions of employee service quality. They were found to be effective mediators linking employees' cognitive appraisal of various sources of support to service quality.
Study of pressure drop for perforated plates and TAD-fabrics

The aim of this paper was to study the relationship between pressure drop and superficial velocity for fabrics used in Through Air Drying and also for perforated plates. Experiments were performed to measure this relationship and the experimental data was then compared to different theoretical models. It was hard to get good agreement between the models and the experimental data for the perforated plate but for the fabrics the prediction of the theoretical models gave a good agreement with the experiments. The experiments also showed that at velocities above 3.5 m/s a linear model is not suitable to estimate the pressure drop for a given velocity.
Maastricht Type 2 Donors: Unrealized Opportunities

The 2006 report by the Institute of Medicine (IOM), titled “Organ Donation, Opportunities for Action” (1) estimated that 22 000 of the 335 000 individuals who die annually from cardiac arrest outside of a medical facility would be suitable for organ donation. Currently donation after cardiac death (DCD) in the United States usually occurs in Maastricht Type 3 donors that die after planned withdrawal of futile cardiorespiratory support in a hospital setting. This has also been termed “controlled” DCD because the timing of the donation event is planned. Maastricht Type 2 DCD, termed “uncontrolled” because the timing of the donation event is unplanned, occurs when an individual suffers cardiac arrest outside of a hospital, receives cardiopulmonary resuscitation en route to a medical facility, but the attempted resuscitation is unsuccessful and death is declared by circulatory criteria. The IOM report suggested that the expansion of Type 2 DCD in the United States should be an imperative.