Miracle-dz/UniFAR-FTUs huggingface dataset:
Tertiary structure of bacterial selenocysteine tRNA

Selenocysteine (Sec) is translationally incorporated into proteins in response to the UGA codon. The tRNA specific to Sec (tRNASec) is first ligated with serine by seryl-tRNA synthetase (SerRS). In the present study, we determined the 3.1 Å crystal structure of the tRNASec from the bacterium Aquifex aeolicus, in complex with the heterologous SerRS from the archaeon Methanopyrus kandleri. The bacterial tRNASec assumes the L-shaped structure, from which the long extra arm protrudes. Although the D-arm conformation and the extra-arm orientation are similar to those of eukaryal/archaeal tRNASecs, A. aeolicus tRNASec has unique base triples, G14:C21:U8 and C15:G20a:G48, which occupy the positions corresponding to the U8:A14 and R15:Y48 tertiary base pairs of canonical tRNAs. Methanopyrus kandleri SerRS exhibited serine ligation activity toward A. aeolicus tRNASec in vitro. The SerRS N-terminal domain interacts with the extra-arm stem and the outer corner of tRNASec. Similar interactions exist in the reported tRNASer and SerRS complex structure from the bacterium Thermus thermophilus. Although the catalytic C-terminal domain of M. kandleri SerRS lacks interactions with A. aeolicus tRNASec in the present complex structure, the conformational flexibility of SerRS is likely to allow the CCA terminal region of tRNASec to enter the SerRS catalytic site.
Causality Effects of Interventions and Stressors on Driving Behaviors under Typical Conditions

In this paper, we demonstrate that interventions and stressors do not necessarily cause the same distractions in all people; therefore, it is impossible to evaluate the impacts of interventions and stressors on traffic accidents. We analyzed publicly available multimodal data that was collected through one of the largest controlled experiments on distracted driving. A crossover design was used to examine the effects of actual and perceived interventions and stressors in driving behaviors and parallel designs on reactivity to a startling event. To analyze this data and make recommendations, we developed and compared a wide variety of mixed effects statistical models and machine learning methods to evaluate the effects of interventions and stressors on driving behaviors.
Noise Elimination and Performance Measure for fingerprint using Median Filter

The aim of this paper is to analyze the low quality fingerprint and enhance it using median filter technique and minutiae detection procedures for fingerprint identification. Different types of noises in the fingerprint images cause greater difficulty for recognizers. As a solution to this problem we employ proven methods for image enhancement. To achieve this first we applied the histogram on 256 grey scale finger print images. Then the histogram-equalized image is obtained. CLAHE with Clip Limit is applied in order to enhance the contrast of small tiles,
RAPID PROTOTYPING OF WIRELESS AUGMENTATIVE AND ALTERNATIVE COMMUNICATION SYSTEM FOR SPEECH IMPAIRED SUBJECTS

Wireless telecommunications holds particular promise for people with speech impairment because it can provide convenience for communication and enhance user's mobility. However, people with speech impairments are likely to also have varied movement disorders which result in the inability to use the existing voice telephone facility. The aim of this research is to extend the current augmentative and alternative communication (AAC) system to wireless telecommunication service for speech-impaired subjects. A pocket personal computer (PPC) with wireless modules is adopted herein, that can be functioned as a portable AAC device, voice pager within a range, and mobile phone. The touch screen of PPC with designed graphics icon can be served as large buttons to activate the high-fidelity sound that is in turns sent to the wireless modules for "talking" through the phone. An AAC layout editor is used to link the pre-recorded sound to the graphics icon and to compile the icon-based graphics for each individual. In addition, levels of dynamic linkages, including script-based, category of use, semantic linkage, and frequency of use are implemented for assisting the speech impairment user to retrieve these pre-stored conversational items which can speed up the communication rate.
Machine Learning Structural and Functional Proteomics

While new high-throughput experimental techniques are being developed for proteomics applications (e.g. mass spectrometry, protein chips), it is clear that given the fundamental importance of proteins to biology, biotechnology, and medicine, computer methods that can rapidly sift through massive amounts of data and help determine the structure and function of a large number of proteins in a given genome remain important. We provide a brief overview of the application of machine learning methods to proteomic problems. In particular, we outline a novel strategy for the complete prediction of protein 3D coordinates. The strategy relies on three main successive stages: prediction of structural features, prediction of topology, and prediction of actual coordinates. We provide a progress report under this strategy and describe the corresponding suite of web servers available through http://promoter.ics. uci.edu/BRNN-PRED/. Applications to functional proteomics are brie y discussed.
Clustering graph based on Edge Linking Coefficient

In this paper, we introduce the concept of Edge Linking Coefficient(ELC), which is a value positively proportional to the number of the common neighbors shared by a pair of connected nodes and used as the measurement of the connection strength between them, and present a new divisive clustering algorithm for discovering communities hidden in large-scale complex networks based on it. Combining with the weak and the strong criteria of the communities, the ELCA method can effectively identify community structure in networks, which is shown in the experimental results on the synthetic and four real-world network data sets. In addition, the clustering algorithm is much faster than the GN algorithm and its variants, and suitable to the large-scale complex network clustering.
HIT2Lab at CLEF: an Exploration of the TEL Task

* This work is done at HITLab, Heilongjiang Institute of Technology. The research is supported by the Key Project of the National Science Foundation of China (60736044), National Science Foundation of China (60873105), the Science and Technology Break-through Project of Heilongjiang (GZ07A108), the Project of the Natural Science Foundation of Heilongjiang Province (F2007-14). Abstract This is the first time HITLab has participated in CLEF. The Adhoc TEL task used a collection of electronic card catalog records from British Library, it is different from all the text retrieval tasks we’ve ever involved. In our runs, we used language modeling approach for retrieval model and incorporated pseudo-feedback, which have been proved effective in previous experiments. For bilingual tasks, we used Google translation service for query translation. We also adopted methods that have showed good effects in TEL 2009 task, including a stopword list provided by UniNE and partial fields indexing.
Designing serious games for elders

Games are often considered a pastime for the youth, and most digital games are specifically designed to appeal to this demographic. Recently however, there has been an increased focus on “serious games” intended to produce positive effects for elders (i.e., older adults aged 65 and above). Digital games have been shown to have potential beneficial effects on elders' cognitive abilities (e.g., [13]). Simple computerized games (such as CogState [11]) potentially allow elders to independently monitor their own cognitive health. Yet there are very few games specifically targeted at the elderly population. Designing such games poses distinctive challenges, since designers must take account of the potential cognitive, sensory and/or physical limitations of elders, as well as their limited experience with gameplay interfaces and conventions that may be second-nature to younger players. Cognitive abilities can vary greatly among elders, especially within populations at risk for dementia or already diagnosed with early-stage dementia. Hence, games that target specific sub-groups of the elderly population should focus on different cognitive abilities depending on the purpose of each game. In this paper we will discuss cognitive abilities that are implicated in different stages of (normal and abnormal) cognitive aging. We will also examine how these abilities influence gameplay mechanics design for elders with different levels of cognitive impairment, and will also identify some fundamental design considerations for making games more accessible and stimulating for elders.
Real Time Ergonomic Assessment for Assembly Operations Using Kinect

Ergonomic assessments assist in preventing work related musculoskeletal injuries and provide safer workplace environments. The 3D motion capture environments are not suitable for many work places due to space, cost and calibration limitations. The Kinect sensor, which was introduced in the Xbox game console, provides a low-cost portable motion capture system. This sensor is capable of capturing and tracking 3D coordinates of a moving target with an accuracy comparable to state of the art commercial systems. This paper investigates the application of Kinect for real time rapid upper limb assessment (RULA) to aid in ergonomic analysis for assembly operations in industrial environments. A framework to integrate various motion capture technologies as well as different assessment methods is presented.
Language Comprehension in a Problem Solver

This paper describes BRUIN, a unified A system that can perform both problem-solving and language comprehension tasks. Included in the system is a frame-based knowledge-representation language called FRAIL, a problem solving component called NASL (which is based on McDermott's problem-solving language of the same name), and a context-recognition component currently known as PRAGMATICS. The intent of this paper is to give a flavor of how the context recognizer PRAGMATICS works and what it can do. Examples are drawn from the inventory-control, restaurant and blocks-world domains.
Theorizing in Design Science Research: Inductive versus Deductive Approaches

This paper explores which theorizing strategies can be employed in DSR to make a theoretical contribution by examining two illustrative case examples. First, we find that abduction, deduction, and induction all play a role in DSR. Second, we suggest that design theorists can choose among a range of theorizing strategies (i.e., inductive theorizing, deductive theorizing, and hybrid approaches) that differ in their degree to which they make use of abduction, deduction, and induction as well as their iterative sequencing over time in repeated theorizing cycles. Third, we reveal from the discussion of two prominent IS design theories that empirical and conceptual methods for theorizing play an important role in both the build and evaluate phases of the DSR cycle. Finally, we recommend theorists in future DSR projects that pursue the goal to develop design theory to think explicitly about their theorizing approach and select and use research methods accordingly.
Business Cycle Models and Stylized Facts in Germany

The aim of this paper is to test to what extent a benchmark real and monetary business cycle model can account for some basic stylized facts with a particular emphasis on monetary variables. We calibrate the model on German data using the method proposed by Cooley and Prescott (1995). First we will analyze the dynamic properties of the models, the Impulse Response Functions and propose a variance decomposition (for the monetary BC Models). We find that even though money is not neutral in the short run, the effect of a monetary shock is only marginal compared to the productivity shock, i.e. the share of the variance of the monetary shock in the total variance of the forecast error is small and decreases rapidly. We simulate the models and compare the properties of the model economies with those of the observed data. The evidence suggests that the benchmark RBC model can account for some stylized facts in Germany. The general pattern of the relative volatilities of investment, output and consumption is replicated by the model. Nevertheless, the overall volatility is too high and the level of the relative volatilities is not well reproduced. The introduction of exogenous monetary shocks and a cash-in-advance constraint increases the relative volatilities and the cross correlation of consumption. In general the second order moments of money (M1) and inflation are not well reproduced.
Fine-structured object segmentation via local and nonlocal neighborhood propagation

In this paper, we present a novel method for the challenging task of fine-structured (FS) object segmentation. This task is formulated as a label propagation problem on an affinity graph. To enhance the completeness and connectivity of the FS objects, we introduce a novel neighborhood system combining both local and nonlocal connections, together with a robust scheme for edge weight calculation. Additionally, region cost is incorporated into the energy function to further maintain the connectivity of fine parts where the propagation is hard to reach. An appealing advantage of the proposed method is that the energy minimization has a closed-form solution and global optimum is guaranteed. Comparative experimental results on three datasets demonstrate the effectiveness of the proposed method.
A content analysis of parent narratives in termination of parental rights trials : emergent themes on the legal loss of children /

This dissertation addresses a void in the social work literature by investigating what parents communicate when they are in the process o f losing the legal right to parent their children. Trial transcripts from ten termination of parental rights trials were analyzed in this descriptive, exploratory study. Following utilization o f a modified form of narrative analysis, six parent narratives were identified in the data. Content analysis of these six narratives resulted in the emergence of various themes. The findings reveal that parents are actively constructing the meaning of their experiences within the courtroom environment, with the rich descriptions o f these socially constructed communications serving to sensitize social workers to the perspective of this population.
Subchronic Arsenic Exposure Induces Anxiety-Like Behaviors in Normal Mice and Enhances Depression-Like Behaviors in the Chemically Induced Mouse Model of Depression

Accumulating evidence implicates that subchronic arsenic exposure causes cerebral neurodegeneration leading to behavioral disturbances relevant to psychiatric disorders. However, there is still little information regarding the influence of subchronic exposure to arsenic-contaminated drinking water on mood disorders and its underlying mechanisms in the cerebral prefrontal cortex. The aim of this study is to assess the effects of subchronic arsenic exposure (10 mg/LAs2O3 in drinking water) on the anxiety- and depression-like behaviors in normal mice and in the chemically induced mouse model of depression by reserpine pretreatment. Our findings demonstrated that 4 weeks of arsenic exposure enhance anxiety-like behaviors on elevated plus maze (EPM) and open field test (OFT) in normal mice, and 8 weeks of arsenic exposure augment depression-like behaviors on tail suspension test (TST) and forced swimming test (FST) in the reserpine pretreated mice. In summary, in this present study, we demonstrated that subchronic arsenic exposure induces only the anxiety-like behaviors in normal mice and enhances the depression-like behaviors in the reserpine induced mouse model of depression, in which the cerebral prefrontal cortex BDNF-TrkB signaling pathway is involved. We also found that eight weeks of subchronic arsenic exposure are needed to enhance the depression-like behaviors in the mouse model of depression. These findings imply that arsenic could be an enhancer of depressive symptoms for those patients who already had the attribute of depression.
Clinicopathological Analysis of Ocular Adnexal Extranodal Marginal Zone B-Cell Lymphoma with IgG4-Positive Cells

This study aims to analyze clinical and pathological characteristics of ocular adnexal extranodal marginal zone B-cell lymphoma (EMZL) accompanying IgG4-positive cells. Fifty patients with a diagnosis of primary non-conjunctival ocular adnexal EMZL were enrolled in this study. The number of IgG4-positive cells and the ratio of IgG/IgG4 were evaluated by immunohistochemistry in the biopsy specimens. The patients were divided into two groups based on the absolute number and the ratio of IgG4-positive cells (IgG4-posivite vs IgG4-negative groups). The demographic data, clinical staging at diagnosis, histopathological characteristics, and response to initial treatment were comparatively analyzed between the 2 groups. Five (10%) of 50 patients were defined as IgG4-positive group, and all the cases showed characteristic histological features such as extensive plasma cell infiltration and dense fibrosis. Most of these patients (4 of 5 patients) had lymphoma of the lacrimal gland. The patients from the IgG4-positive group showed a lower response rate to initial treatment (87.5 vs 33%, p = 0.03) than IgG4-negative group with a median follow-up period of 38 months. A part of the ocular adnexal EMZLs were accompanied with IgG4-positive cells. Significantly, most IgG4-positive ocular adnexal EMZLs occurred in the lacrimal gland, and can be related with a more frequent treatment failure.
Open-Loop Tip Accuracy of an MRI-Compatible Active Cannula Robot

INTRODUCTION Magnetic resonance imaging (MRI) is increasingly used intraoperatively, because it provides excellent soft tissue distinction and on-the-fly adjustment to imaging slice orientation without exposing clinician or patient to radiation. For neurosurgical procedures, intraoperative MRI holds significant advantages over traditional stereotactic methods (e.g. compensation for brain shift), and has thereby led to much research toward minimally invasive treatments of brain tumors, epilepsy, and other neurological disorders. Because the tight confines of MRI scanners limit clinician access to the patient, an MRI-compatible robot is potentially useful for many procedures and additionally offers the clinician increased accuracy and degrees of freedom within the minimally invasive context. Affecting 0.5 to 1.0% of the global population, epilepsy is a neurological disorder for which surgery has been reported superior to prolonged pharmacotherapy, yet only a small fraction of potential surgical candidates receive treatment [1]. Minimally invasive alternatives to conventional resection of seizure foci could side-step the potential morbidity and lengthy recovery associated with open brain surgery thereby making surgical treatment and cure available to a greater number of patients with less risk. Interstitial laser ablation of seizure foci has been clinically demonstrated using MRI to guide ablator placement and MR thermometry for thermal dosimetry [2]. This procedure currently requires multiple patient transfers between MRI scanner and operating room meaning that introducing an MRIcompatible robot could streamline surgical workflow. An alternative real-time MRI approach is high intensity focused ultrasound (HIFU), yet intracranial targets can be difficult to effectively treat due to high reflection and absorption of the ultrasound energy by the skull [3]. This paper reports a pneumatically-actuated active cannula robot designed for MRI-guided ablation of epileptogenic foci. An active cannula is a continuum robot consisting of concentric, superelastic nitinol tubes with pre-curved sections. Complex trajectories are realized by translation and rotation of the cannula tubes with respect to one another.
To move more but sit less: The roles of students’ attitudes and knowledge

An important goal of physical education (PE) is to educate children to become physically literate and active of their own accord. This study capitalized on examining the roles of students’ attitudes toward PE and physical activity and fitness (PAF) knowledge in physical activity and sedentary behavior participation. Students from a public middle school in a Midwestern state in the United States of America responded to two surveys. One survey consisted of demographic and PAF knowledge questions for middle school students, and the other survey included the Attitude Toward Physical Education Questionnaire and the Youth Activity Profile. Structural equation models showed that perceived enjoyment and perceived usefulness, as affective and cognitive dimensions of attitude toward PE respectively, demonstrated small effects on physical activity and sedentary behavior, while perceived enjoyment further showed a moderate effect on PAF knowledge, after controlling for gender and grade. These findings indicate the need to deliberately foster students’ positive attitudes toward PE in middle school years. It is argued that future pedagogy research on youth physical activity should also include sedentary behavior as a focal variable.
How commitment and satisfaction explain leave intention in police force?

PurposeThe purpose of this paper is to investigate the impact of professional commitment and job satisfaction on leave intention considering alternative job opportunities as a moderator.Design/methodology/approachThe authors collected data from 147 patrolling police officers on the basis of convenience sampling using a questionnaire-based survey.FindingsThe study noted that professionally committed and satisfied police officers are less likely to leave their organization. In addition, alternative job opportunities strengthen the negative association of professional commitment and job satisfaction with leave intention.Research limitations/implicationsThis study was conducted at one point of time and the majority of the respondents were male, therefore, the results might be gender biased. This study has implications for policymakers and HR managers.Practical implicationsLaw enforcement agencies and organizations should develop and sustain workplace environments where professional commitment and job satisfaction can positively influence the leave intentions of their employees. More specifically, it provides insight to the managers to retain talented and commitment employees in their organizations.Originality/valueThis study adds to the scant literature on professional commitment and alternative job opportunity in the context of police.
Therapeutic role of dual inhibitors of 5-LOX and COX, selective and non-selective non-steroidal anti-inflammatory drugs

Dual 5-LOX/COX inhibitors are potential new drugs to treat inflammation. They act by blocking the formation of both prostaglandins and leucotrienes but do not affect lipoxin formation. Such combined inhibition avoids some of the disadvantages of selective COX-2 inhibitors and spares the gatrointestinal mucosa.