Miracle-dz/UniFAR-FTUs huggingface dataset:
Transcriptional Regulation of Central Carbon and Energy Metabolism in Bacteria by Redox-Responsive Repressor Rex

ABSTRACT Redox-sensing repressor Rex was previously implicated in the control of anaerobic respiration in response to the cellular NADH/NAD+ levels in Gram-positive bacteria. We utilized the comparative genomics approach to infer candidate Rex-binding DNA motifs and assess the Rex regulon content in 119 genomes from 11 taxonomic groups. Both DNA-binding and NAD-sensing domains are broadly conserved in Rex orthologs identified in the phyla Firmicutes, Thermotogales, Actinobacteria, Chloroflexi, Deinococcus-Thermus, and Proteobacteria. The identified DNA-binding motifs showed significant conservation in these species, with the only exception detected in Clostridia, where the Rex motif deviates in two positions from the generalized consensus, TTGTGAANNNNTTCACAA. Comparative analysis of candidate Rex sites revealed remarkable variations in functional repertoires of candidate Rex-regulated genes in various microorganisms. Most of the reconstructed regulatory interactions are lineage specific, suggesting frequent events of gain and loss of regulator binding sites in the evolution of Rex regulons. We identified more than 50 novel Rex-regulated operons encoding functions that are essential for resumption of the NADH:NAD+ balance. The novel functional role of Rex in the control of the central carbon metabolism and hydrogen production genes was validated by in vitro DNA binding assays using the TM0169 protein in the hydrogen-producing bacterium Thermotoga maritima.
Major Feedbacks that Support Artificial Evolution in Multi-Mod ular Robotics

In multi-modular reconfigurable robotics it is extremely challenging to develop control software that is able to generate robust but still flexible behavior of the ‘robotic organism’ that is formed by several independent robotic modules. We propose artificial evolution and self-organization as methodologies to develop such control software. In this article, we present our concept to evolve a self-organized multi-modular robot. We decompose the network of feedbacks, that affect th e evolutionary pathway and show why and how specific subcomponents, which are involved in these feedbacks, should be subject of evolutionary adaptation. Self-organization is a major component of our framework and is implemented by a hormone-inspired controller governing the behavior of singular autonomous modules. We show first results, which were obtained by artificial evolution with our framework, and give an outlook of how the framework will be applied in future research.
New Range and k-NN Query Processing Algorithms Using Materialization Technique on Spatial Network

In this paper, we propose new query processing algorithms for typical spatial queries in SNDB, such as range search and k nearest neighbors (k-NN) search. Our two query processing algorithms can reduce the computation time of network distance between a pair of nodes and the number of disk I/Os required for accessing nodes by using a materialization-based technique with the shortest network distances of all the nodes in the spatial network. Thus, our query processing algorithms improve the existing efficient k-NN (INE) and range search (RNE) algorithms proposed by [1]. It is shown that our range query processing algorithm achieves about up to one of magnitude better performance than the RNE and our k- NN query processing algorithm achieves about up to 150% performance improvements over INE.
Development of KNU hand with infrared LED-based tactile fingertip sensor

This paper proposes an infrared (IR) light emitting diode (LED)-based tactile fingertip sensor that can independently measure the normal and tangential force between the hand and an object. The proposed IR LED-based sensor has several advantages over other technologies, including a low price, small size, and good sensitivity. The design of the first prototype is described and some experiments are conducted to show output characteristics of the proposed sensor. Furthermore, the effectiveness of the proposed sensor is demonstrated through anti-slip control in a multifunction myoelectric hand, called the KNU Hand, which includes several novel mechanisms for improved grasping capabilities. The experimental results show that slippage was avoided by simple force control using feedback on the normal and tangential force from the proposed sensor. Thus, grasping force control was achieved without any slippage or damage to the object.
Testing for Abuse in Children With Sentinel Injuries

OBJECTIVE: Child physical abuse is commonly missed, putting abused children at risk for repeated injury and death. Several so-called sentinel injuries have been suggested to be associated with high rates of abuse, and to imply the need for routine testing for other, occult traumatic injuries. Our objective was to determine rates of abuse evaluation and diagnosis among children evaluated at leading children’s hospitals with these putative sentinel injuries. METHODS: This is a retrospective secondary analysis of the Pediatric Health Information System database. We identified 30 355 children with putative sentinel injuries. We measured rates of abuse diagnosis and rates of testing commonly used to identify occult injuries. RESULTS: Among all visits for children <24 months old to Pediatric Health Information System hospitals, the rate of abuse diagnosis was 0.17%. Rates of abuse diagnosis for children with at least 1 putative sentinel injury ranged from 3.5% for children <12 months old with burns to 56.1% for children <24 months with rib fractures. Rates of skeletal survey and other testing that can identify occult traumatic injury were highly variable between centers and for different injuries. CONCLUSIONS: Several putative sentinel injuries are associated with high rates of physical abuse. Among eligible children with rib fracture(s), abdominal trauma, or intracranial hemorrhage, rates of abuse were more than 20%. Future work is warranted to test whether routine testing for abuse in these children can improve early recognition of abuse.
Impurity Profiling: A Case Study of Ezetimibe

Impurity profiling includes a description of the identified and unidentified impurities present in new drug substances or drug products. Isolation and elucidation of the structures of degradation products are typically collaborative research involving knowledge of analytical, organic and physical chemistry with spectroscopic information. Stability testing guidelines issued by International Conference on Harmonization (ICH) require the reporting, identification and characterization of degradation products (DPs). The alkaline degradant was detected by high performance liquid chromatography (HPLC) at relative retention time (RRT) of 1.48 with respect to Ezetimibe. This degradant was isolated by preparative HPLC. Purity of the isolated solid was found to be more than 99%. Structure of alkaline degradant was confirmed by LC-MS, 1 H and 13 C NMR and IR spectroscopy. On the basis of spectral data, the structure of the degradant was confirmed as 5-(4-fluorophenyl)-2-((4-fluorophenyl amino)-(4-hydroxyphenyl)methyl)-pent-4-enoic acid. An understanding of the parts of the molecule that are susceptible to degradation can help in the design of more stable analogs. Determining the structures of the major degradation products can reveal whether or not a known carcinogen or toxic compound is or might possibly be formed.
Occupational commitment of IT students: a social cognitive career theory perspective

The shortage of IT professionals remains a critical concern today, with fewer IT students entering the workforce compared to IT professionals leaving or retiring. While research has examined factors contributing to the declining of IT enrollments, it is unclear why some IT students choose to go on to an IT career while others eschew IT. To address this gap, this paper examines students' commitment to the IT profession as students' attitudes towards the profession begin to form. We draw on and extend the social cognitive career theory (SCCT) by examining factors that affect IT students' occupational commitment. We tested our model using survey data from a large sample of students majoring in computer science and information systems related fields. Results from structural equations modeling indicated that students with higher interests, self-efficacy, outcome expectations and social support report higher occupational commitment. This study contributes to theory by extending prior research on occupational commitment by providing insights into factors that shape occupational commitment prior to entering the IT workforce.
The implications of marital instability for a woman's fertility: Empirical evidence from Italy

Using a sample of Italian women interviewed in 2003 in the survey “Family and Social Subject,” this paper investigates two issues: (1) how a woman’s family life-course (union status and parity/ages of children born in the first marriage) influences the risk of a post-dissolution birth among separated women; and (2) how the experience of a marital disruption affects a woman’s cumulated fertility. Given that in Italy marital instability is relatively recent and still barely socially accepted, our main assumption is that separated women engage in more prudent reproductive behaviour than their counterparts living in countries with a longer experience of the phenomenon. With respect to the first point, our results show that: (i) not only remarriage, but also cohabitation, are strongly associated with the likelihood of post-dissolution childbearing; (ii) significant differences in the risk of having a child following the dissolution of a marriage are present only between separated women with no children and separated women with children; thus, separated women with one child have the same probability of experiencing a post-dissolution birth as those with two or more children, and the age of children is irrelevant. With respect to the second point, we find that women who underwent a marital dissolution have lower fertility than those who remained continuously married, and that repartnering enables this group of women to recapture some—but not all—of the fertility lost with the dissolution of the first marriage.
Unveiling the performance‐energy trade‐off in iterative linear system solvers for multithreaded processors

In this paper, we analyze the interactions occurring in the triangle performance‐power‐energy for the execution of a pivotal numerical algorithm, the iterative conjugate gradient (CG) method, on a diverse collection of parallel multithreaded architectures. This analysis is especially timely in a decade where the power wall has arisen as a major obstacle to build faster processors. Moreover, the CG method has recently been proposed as a complement to the LINPACK benchmark, as this iterative method is argued to be more archetypical of the performance of today's scientific and engineering applications. To gain insights about the benefits of hands‐on optimizations we include runtime and energy efficiency results for both out‐of‐the‐box usage relying exclusively on compiler optimizations, and implementations manually optimized for target architectures, that range from general‐purpose and digital signal multicore processors to manycore graphics processing units, all representative of current multithreaded systems. Copyright © 2014 John Wiley & Sons, Ltd.
A comparison of different loudspeaker models to empirically estimated non-linearities

This paper investigates and questions the suitability of modelling non-linear loudspeaker distortion with scalar diagonal (SD) Volterra series. This approach, popular in studies of non-linear acoustic echo cancellation (NAEC), is compared to an alternative non-scalar diagonal (NSD) model. The new model is estimated empirically but based on the theoretical underpinnings of non-linear convolution. Using common, real-speech test signals, the loudspeaker outputs synthesised by each model are evaluated objectively through their comparison to real loudspeaker outputs measured in controlled conditions. Results show that non-linear distortion estimated with the NSD model better reflects that measured empirically. We also show that NAEC experiments conducted with SD loudspeaker models have the potential to over-exaggerate performance, whereas those conducted with an NSD model better reflect practical performance.
2 Capturing and Preprocessing Depth Information

The paper describes a new method for indexing and retrieval of photographic images: we propose to involve the distance information of objects for indexing. We applied the “range-from focus” technique for distance estimation combined by statistical segmentation. This technique doesn’t require stereo and it is easy to be implemented in conventional digital cameras. Test results illustrate relative and absolute position retrieval methods.
Triggering the Formation of Halo Globular Clusters with Galaxy Outflows

We investigate the interactions of high-redshift galaxy outflows with low-mass virialized clouds of primordial composition. While atomic cooling allows star formation in objects with virial temperatures above 104 K, "minihalos" with virial temperatures below this threshold are generally unable to form stars by themselves. However, the large population of high-redshift starburst galaxies may have induced widespread star formation in neighboring minihalos, via shocks that caused intense cooling through both nonequilibrium H2 formation and metal-line emission. Using a simple analytic model, we show that the resulting star clusters naturally reproduce three key features of the observed population of halo globular clusters (GCs). First, the 104 K maximum virial temperature directly corresponds to the ~106 M☉ upper limit on the stellar mass of such clusters, a feature that cannot be explained by any GC destruction mechanism. Secondly, the momentum imparted in such interactions is sufficient to strip the gas from its associated dark matter halo, explaining why GCs do not reside in the dark matter potential wells that are ubiquitous in galaxies. Finally, the mixing of ejected metals into the primordial gas provides a straightforward mechanism to explain the approximately 0.1 dex homogeneity of stellar metallicities within a given GC, while at the same time allowing for a large spread in metallicity between different clusters. To study the possibility of such "fine grained" mixing in detail, we use a simple one-dimensional numerical model of turbulence transport to simulate mixing in cloud-outflow interactions. We find that as the shock shears across the side of the cloud, Kelvin-Helmholtz instabilities arise, which cause turbulent mixing of enriched material into ≳20% of the cloud. Such estimates ignore the likely presence of large-scale vortices, however, which would further enhance turbulence generation. Thus, the global nature of mixing in these interactions is multidimensional, and quantitative predictions must await more detailed numerical studies.
Perceptual tagging of video files in P2P networks

Identification of a video file in current peer-to-peer (P2P) networks is achieved by its tag or by a (100–200 bits) cryptographic hash of the entire file. However, these approaches fail when the tag is changed or some small insertions, deletions or format changes are applied to the video by a user in the network. A complementary approach is to tag a video with a few hundreds of bits of information, which we call perceptual tags, extracted from perceptual features of the content robust to typical processing. In this paper, we first give the basic requirements for the extraction and distribution of these perceptual tags in a P2P network considering the characteristics of the peers (ordinary internet users), such as low computational power and low bandwidth. Then, we propose a novel method that extracts N (64–256) bits of robust perceptual tags for a video file by using only the mean of video frames. The proposed method also achieves the uniform distribution of perceptual tags among the peers needed for the state of the art DHT-based indexing implementations in P2P networks.
A robust online touch pattern recognition for dynamic human-robot interaction

This paper presents a novel touch pattern recognition algorithm for dynamic proximate interaction between a robot and a human. At first, in order to guarantee reactive responses to various touch patterns, an online touch pattern algorithm is proposed based on a Temporal Decision Tree(TDT). Second, dynamic movements of a robot in a real interaction situation usually deteriorate the confidence level of the pattern classifier. A robust method to compensate for inconsistent recognition results in the dynamic interaction is proposed by a Consistency Index(CI), which estimates consistency degrees of human touch patterns over time. The algorithms are applied to a hard-cover touch recognition module, which is being developed for recognizing the four kinds of emotional touch patterns mainly used in human-robot affective interaction. The recognition performance is evaluated in a simple game scenario environment with KaMERo (KAIST Motion Expressive Robot), which is an emotionally interactive robot platform. The results show that the proposed algorithm guarantees commercially applicable recognition performance by compensating for the misclassification inherent in the dynamic movements of a robot.
Effects of East Los High, an entertainment-education web series, on sexual decision-making of young Latino/a couples

vi TABLE OF CONTENTS.viii LIST OF TABLES.xi LIST OF FIGURES.xii PREFACE.xiii 1. CHAPTER 1: INTRODUCTION.1 1.1. Purpose.3 1.2. Adolescence, Sexuality and Outcomes.4 1.2.1. The Perils of Adolescence.5 1.3. Media Sparked Campaigns and Entertainment Education.6 1.4. East Los High: Sex, Love and Revenge.7 1.5. Summary.10 2. CHAPTER 2: LITERATURE REVIEW.11 2.1. Teenage Sexuality: A Complex Problem.12 2.2. How Do I take Decisions? 13 2.2.1. Sexual Decision-Making Framework.14 2.2.2. Factors Affecting Sexual Decision-Making.16 2.2.3. Male Responsibility and Female Decision-Making.20 2.2.4. Latina/o Sexual Decision Making and Gender Roles.24 2.3. The Entertainment-Education Strategy.26 2.3. 1. Social Cognitive Theory.28 2.3. 2. Narrative Involvement.29 2.4. Significance and Research Questions.32
Jena Property Table Implementation

A common approach to providing persistent storage for RDF is to store statements in a three-column table in a relational database system. This is commonly referred to as a triple store. Each table row represents one RDF statement. For RDF graphs with frequent patterns, an alternative storage scheme is a property table. A property table comprises one column containing a statement subject plus one or more columns containing property values for that subject. In this approach, a single table row may store many RDF statements. This paper describes a property table design and implementation for Jena, an RDF Semantic Web toolkit. A design goal is to make Jena property tables look like normal relational database tables. This enables relational database tools such as loaders, report writers and query optimizers to work well with Jena property tables. This paper includes a basic performance analysis comparing a triple store with property tables for dataset load time and query response time. Depending on the application and data characteristics, Jena property tables may provide a performance advantage compared to a triple store for large RDF graphs with frequent patterns. The disadvantage is some loss in flexibility.
Adaptive Pattern Matching

Pattern matching is an important operation used in many applications such as functional programming, rewriting and rule-based expert systems. By preprocessing the patterns into a DFA-like automaton, we can rapidly select the matching pattern(s) in a single scan of the relevant portions of the input term. This automaton is typically based on left-to-right traversal (of the patterns) or its variants. By adapting the traversal order to suit the set of input patterns, it is possible to considerably reduce the space and matching time requirements of the automaton. The design of such adaptive automata is the focus of this paper. In this context we study several important problems that have remained open even for automata based on left-to-right traversais. Such problems include upper and lower bounds on space complexity, construction of optimal dag automata and impact of typing in pattern matching. An interesting consequence of our results is that lazy pattern matching in typed systems (such as ML) is computationally hard whereas it can be done efficiently in untyped systems.
THE E-BUSINESS MODEL HANDBOOK

“Business model” is becoming the lastest buzzword in the Internet and electr onic commerc world. This research in progress has the ambition to give a more rigorous content to this erm and its objective is threefold. The first one is to propose a theoretical framework for defining, assessing, and bu ilding business models. The second objective corresponds to a field study for observing, analyzing, and cataloguing typical business models in a knowledge base. The final objective is to c omputeriz this base and to specify a decision support system for helping business model creators to design, evaluate, and simulate new business models.
Modelling and controller prototyping for unmanned vertical take off and landing (UVTOL)) vehicles

This paper describes a methodology to parameterize linear, time invariant (LTI) models which represent the dynamics of UVTOLs and that are appropriate for analytical development of controllers. The models validity was tested against real telemetry from two vehicles, a mini-helicopter and a quad-rotor. The experiments show that despite its inherent limitations the LTI models are suitable for modeling the complex dynamics of aerial vehicles. Different LTI models forthe mini-helicopter’s stationary, lateral and longitudinal flights were obtained. Similarly, given the geometrical and dynamic characteristics of the quad-rotor no distinction is made between stationary, lateral and longitudinal flights, and only one LTI model was obtained, which represents the overall dynamic behavior of the vehicle. Because of their relatives implicity these models were used to design analytical controllers and to obtain different controller prototypes in a quick and simple way to evaluate the UVTOL’s performance in different flight conditions.
PCR for Diagnosis of Paracoccidioidomycosis

ABSTRACT A PCR assay based on oligonucleotide primers derived from the sequence of the gene coding for the 43,000-Da (gp43) antigen was developed to detect Paracoccidioides brasiliensis DNA in sputa. In the standardized conditions, it could detect 10 cells/ml of sputum, providing sufficient accuracy to be useful for diagnosis of paracoccidioidomycosis.