Miracle-dz/UniFAR-FTUs huggingface dataset:
Anatomical Correlation of Core Muscle Activation in Different Yogic Postures

Faulty postures due to sedentary lifestyle cause weakening of core muscles which contributes to increased incidence of musculoskeletal disorders (MSDs). Although a few research studies have quantified the core muscle activity in various yogic exercises used in rehabilitation programs, evidence correlating it to functional anatomy is scarce. Such information is important for exercise prescription when formulating treatment plans for MSDs. Therefore, the objective of this review article is to examine the literature and analyze the muscle activity produced across various yoga postures to determine which type of yoga posture elicits the highest activation for the core muscle in individuals. Literature search was performed using the following electronic databases: Cochrane Library, NCBI, PubMed, Google Scholar, EMBASE, and web of science. The search terms contained: Core muscle activation and yogic posture OR yoga and rehabilitation OR intervention AND Electromyography. Activation of specific core muscle involved asanas which depended on trunk and pelvic movements. Description of specific yogic exercise as they relate to core muscles activation is described. This information should help in planning yogic exercises that challenge the muscle groups without causing loads that may be detrimental to recovery and pain-free movement. Knowledge of activation of muscles in various yogic postures can assist health-care practitioners to make appropriate decisions for the designing of safe and effective evidence-based yoga intervention for MSDs.
Fast Patch-Based Denoising Using Approximated Patch Geodesic Paths

Patch-based methods such as Non-Local Means (NLM) and BM3D have become the de facto gold standard for image denoising. The core of these approaches is to use similar patches within the image as cues for denoising. The operation usually requires expensive pair-wise patch comparisons. In this paper, we present a novel fast patch-based denoising technique based on Patch Geodesic Paths (PatchGP). PatchGPs treat image patches as nodes and patch differences as edge weights for computing the shortest (geodesic) paths. The path lengths can then be used as weights of the smoothing/denoising kernel. We first show that, for natural images, PatchGPs can be effectively approximated by minimum hop paths (MHPs) that generally correspond to Euclidean line paths connecting two patch nodes. To construct the denoising kernel, we further discretize the MHP search directions and use only patches along the search directions. Along each MHP, we apply a weight propagation scheme to robustly and efficiently compute the path distance. To handle noise at multiple scales, we conduct wavelet image decomposition and apply PatchGP scheme at each scale. Comprehensive experiments show that our approach achieves comparable quality as the state-of-the-art methods such as NLM and BM3D but is a few orders of magnitude faster.
Automatic traffic sign detection and recognition in video sequences

Traffic sign detection and recognition plays a prominent role in advanced driver assistance systems (ADAS). Traffic signs provide information about the traffic rules, road conditions, route directions and assist the drivers for better and safe driving. This article proposes an algorithm for traffic sign detection and recognition in video frames. The detection is performed in the hue-saturation-value (HSV) color space using both color and shape features and the recognition is performed using the multilayer perceptron (MLP) trained with histogram of oriented gradients (HOG) features. The proposed method implemented on Microsoft Visual Studio-2010 using OPENCV 2.4. 8.0 image processing library. Experimental results reveal that a recognition rate of 97.14% and 95.71% is achieved on real-time videos.
Influence of Select Psychosocial Factors on the Psychological Well-being of Policewomen

Policewomen play a pivotal role in police department and recently there is increase in the number of policewomen joining the police force. As stress is unavoidable in the police job and women may be at increasing risk for the deleterious effects of it, it is felt that it is important to address to their well-being needs. The present study aimed at examining the influence of occupational stress, work-life balance, job attitude, and personality on the psychological well-being of women constables in Chennai City, India. The study was conducted among 826 policewomen using correlational research design using survey method. Due to incomplete information, 756 data were only included for the study. Women constables serving in various police units like Tamilnadu Special Battalion, Armed Reserve, Police Stations- All Women Police Stations (AWPS) and local police stations in Chennai City were included in this study. The age of the respondents ranged from 19 years to 45 years with a mean age of 28 years. Their work exper ience ranged from 10 months to 20 years with an average experience of six years. Data were analyzed using Pearson's correlation and Multiple Regression analysis. The results revealed that select psychosocial variables such as occupational stress, Personal Life Interference with Work (PLIW), Work/Personal Life Enhancement (WPLE), job attitude, neuroticism, openness, and conscientiousness significantly accounted for 45 percent of variance in the psychological well -being of policewomen. This study has implications for recruitment and training for policewomen to enhance their psychological well-being.
Decision-Making Systems in Mobile Robotics

This chapter deals with description of means for decision-making in mobile robotics as well as some integrated decision-making systems. They are mostly oriented to applications in robotic soccer because it enables to solve a number of robotic problems from optimal control of individual actuators up to constructing complex multiagent systems for teams of robots. The spectrum of nowadays decision-making means that are used in robotics is much spread and it is not possible to mention them all. Therefore, there are described only such means that seems to be perspective for their use in robotic decision-making processes like naive Bayes classifiers, decision trees, Markov decision processes and fuzzy cognitive maps. Based on these means several autonomous decision systems are described.
Role of FNAC, fluid specimens, and cell blocks for cytological diagnosis of lung cancer in the present era

Cytoblocks prepared from residual tissue fluids and fine-needle aspirations can be useful adjuncts to smears for establishing a more definitive cytopathologic diagnosis. These paraffin embedded cytoblocks have been popular since these can be handled like any other histologic specimen. Rapid on-site evaluation (ROSE) can help in attaining adequate material in the cytoblock, which is a major concern to the cytopathologists. Ancillary studies can be done using cytoblocks including IHC and various molecular techniques. The opportunities for cytopathologists to influence therapy, and uncover strategies in the complex field of lung cancer are exciting and limitless especially in the presence of an adequate cytoblock
5'-CGA sequence is a strong motif for homo base-paired parallel-stranded DNA duplex as revealed by NMR analysis.

The structure of the non-self-complementary DNA heptamer d(CGACGAC) at low pH has been determined by the quantitative NMR refinement procedure designated SPEDREF (SPEctral-Driven REFinement). Acid-base titration of the molecule indicated a prominent n = 2 pKa near 6.8. In the pH range up to 6.0, the heptamer forms a remarkably stable double helix, which was conclusively shown to be an unusual homobase-paired parallel-stranded double helix (termed II-DNA). In this II-DNA helix, the 5'-CGA trinucleotide is the structural motif that accounts for the stability, with the C+-C hemiprotonated base pair (in which C+ is N3-protonated cytosine) providing for the alignment site and the unusual interstrand G-A base stack in the GpA step furnishing the additional stabilizing forces. The exchangeable proton data from two-dimensional nuclear Overhauser effect spectroscopy are in total agreement with the refined structure. We conclude that the 5'-CGA or other related sequences (e.g., 5'-CCGA) are powerful motifs in promoting the II-DNA or II-RNA conformations that may play certain biological functions.
A Loosely Coupled Aspect Language for SOA Applications

The aspect-oriented programming (AOP) paradigm offers software developers with powerful modularization abstractions to help them explicitly separate design concerns at the source code level. However, the impact of AOP in the service-oriented architecture (SOA) paradigm has been dwarfed by the fact that existing AOP solutions are tightly coupled to a particular programming language, middleware system or execution platform. Clearly, this not only restricts the implementation choices available to application developers, but it also clashes with the heterogeneous and loosely coupled nature of SOA. This paper presents the Web Service Aspect Language (WSAL) that seamlessly integrates AOP and SOA concepts, thus avoiding the drawbacks of existing solutions. In WSAL, aspects themselves are freely specified, implemented and executed as loosely coupled web services. This characteristic allows WSAL aspects to be easily woven into the message flow exchanged between service consumers and service providers, in a way that is completely independent from any particular implementation technology. This paper also reports on the implementation and preliminary evaluation of a prototype aspect weaver for WSAL, which is based on an existing web intermediary technology.
Contact printing of colloidal nanocrystal thin films for hybrid organic/quantum dot optoelectronic devices

Novel thin film optoelectronic devices containing both inorganic colloidal semiconductor quantum dots (QDs) and organic semiconductor thin films have been widely investigated in recent years for a variety of applications. Here, we review one of the most versatile and successful methods developed to integrate these two dissimilar material classes into a functional multilayered device: contact printing of colloidal QD films. Experimental details regarding the contact printing process are outlined, and the key advantages of this QD deposition method over other commonly encountered techniques are discussed. The use of tapping mode atomic force microscopy (AFM) to effectively characterize QD film morphology both on an elastomeric stamp (before contact printing) and as-transferred to the organic semiconductor receiving film (after contact printing) is also described. Finally, we offer suggestions for future efforts directed toward the goal of rapid, continuous QD deposition over larger substrates for the advancement of hybrid optoelectronic thin film devices.
Youth and the new media: constructing meaning and identity in networked spaces

This project is an activity–based study of American teens (13-17 years of age) and their material engagement with new media. This study documents the participants’ engagement with new media in networked spaces and the everyday practices that surround their participation. Study participants were asked to orally report what they are experiencing as they experience it. Reports and on-screen activities are recorded by a laptop computer. Theoretical findings emerged from the axial coding across four code categories and suggested a leitmotiv pattern of a complex but stable relationship between interpersonal communication channels, the relative immediacy and intimacy of the channel, and the social relationship between participants. This pattern appeared to have a structuring influence on communication practices of youth in networked publics, and led to some tensions, concerns, and strategies relating to controlling the flow of information in those spaces. Overall, 10 code patterns and themes emerged to provide insight into the everyday practices of young people as they negotiate and construct meaning and identity in networked publics. The implications of the findings are discussed in the context; of the research questions. To my wife, Esther, for her love and unwavering support. To my children, who have never known a father who was not in working on a PhD. To my mother and father, who never lost confidence. My family was and is my inspiration.
Social Competence in Small Firms—Fostering Workplace Learning and Performance

While it is widely accepted that social networks are key to small-firm success, detailed studies on the specific contribution of owner-managers' social competence to learning and performance are scarce. In this article, the importance of owner-managers' social competence was explored in a specific, innovative small-firm sector in the Netherlands: the agri-food sector. This was done by means of a qualitative (n = 13) and quantitative (n = 556) study. In the qualitative study, the two social competence domains most frequently cited and employed in entrepreneurial workplace learning practices were a social learning orientation and the ability to interact with strategic social partners. The quantitative study illustrated that social competence, overall, influences small-firm performance significantly. However, the relationships between social competence and small-firm performance seem to depend on the specific strategies that owner-managers pursue. In particular, this research supports the idea of social competence being an important driver of success for specific small-firm strategies and for the ongoing development of existing and new capabilities. As such, it underlines the importance of the capability-driven approach to HRD in the small-firm context. This, in turn, has implications for small-firm support programs.
Corpus-based Induction of a Frame Semantics Projection for LFG

In computational linguistics there is growing insight that high-quality NLP applications for information access (question anwering, etc.) are in need of deeper linguistic analysis, in particular, semantic analysis. A bottleneck for semantic processing is the lack of large-scale domain-independent lexical semantic resources. While WordNets for several languages are important lexical resources for paratactic semantic relations, we are lacking large-scale lexical resources for the semantic description of relational lexical items, in particular predicate-argument structure. There are now efforts for the creation of large lexical semantic resources that provide information on predicateargument structure. The Berkeley FrameNet project [2], building on Fillmore’s theory of frame semantics [5], has a strong lexicographic character, concentrating on the definition of an inventory of frames and their semantic roles, and manual annotation of selected example sentences. A strictly corpus-based approach is carried out at the UPenn, with the creation of “PropBank” [8] – a manual predicate-argument annotation on top of the PennTreebank. Similar to corpus-based induction of stochastic grammars from syntactically annotated corpora, there are first approaches for learning models for semantic role assignment from semantically annotated corpora (e.g. [7]). However, since semantic role assignment is based on a syntactic annotation layer, fully automatic processing for semantic role assignment requires an interface between a syntactic analyser and the targeted semantic representation. In [1] we presented a design study for an LFG syntax-semantics projection architecture for frame semantics. In this paper we report on the corpus-based induction of an operational computational LFG interface for frame semantic annotation. We describe the methods we apply in order to derive generic frame assignment rules from annotation instances of a manually annotated corpus (see example in Fig. 1(a)). We further present first experiments to assess the potential of frame semantic processing for semantics-driven syntactic disambiguation.
Bat Distribution Size or Shape as Determinant of Viral Richness in African Bats

The rising incidence of emerging infectious diseases (EID) is mostly linked to biodiversity loss, changes in habitat use and increasing habitat fragmentation. Bats are linked to a growing number of EID but few studies have explored the factors of viral richness in bats. These may have implications for role of bats as potential reservoirs. We investigated the determinants of viral richness in 15 species of African bats (8 Pteropodidae and 7 microchiroptera) in Central and West Africa for which we provide new information on virus infection and bat phylogeny. We performed the first comparative analysis testing the correlation of the fragmented geographical distribution (defined as the perimeter to area ratio) with viral richness in bats. Because of their potential effect, sampling effort, host body weight, ecological and behavioural traits such as roosting behaviour, migration and geographical range, were included into the analysis as variables. The results showed that the geographical distribution size, shape and host body weight have significant effects on viral richness in bats. Viral richness was higher in large-bodied bats which had larger and more fragmented distribution areas. Accumulation of viruses may be related to the historical expansion and contraction of bat species distribution range, with potentially strong effects of distribution edges on virus transmission. Two potential explanations may explain these results. A positive distribution edge effect on the abundance or distribution of some bat species could have facilitated host switches. Alternatively, parasitism could play a direct role in shaping the distribution range of hosts through host local extinction by virulent parasites. This study highlights the importance of considering the fragmentation of bat species geographical distribution in order to understand their role in the circulation of viruses in Africa.
THE MULTI -CENTER TMA SYSTEM ARCHITECTURE AND ITS IMPACT ON INTER -FACILITY COLLABORATION

The success of the Traffic Management Adviso r (TMA) system at Fort Worth Air Route Traffic Control Center (ARTCC) and other ARTCCs has prompted the further development of TMA to address problems in the congested environment of the Northeast corridor of the US National Airspace System (NAS). This reg ion is characterized by terminal areas whose arrivals approach from more than one ARTCC thereby requiring greater coordination in arrival traffic planning. NASA and the FAA are developing a Multi -Center Traffic Management Advisor (McTMA) tool that introduces a new infrastructure to allow individual TMA systems to communicate with each other, thereby forming a Mc TMA network. The prototype system allow s the four ARTCCs of the northeast (New York, Washington, Boston and Cleveland) and the Philadelphia (PHL) Terminal Radar Approach Control Facility (TRACON) to share a regional view of the arrival demand at the PHL airport. This shared view will enable these faci lities to proactively address PHL congestion issues through better coordination and management of traffic into an adjacent air traffic control unit, be it a sector or a facility. This paper presents a high -level description of the McTMA architecture and potential collaboration possibilities that may arise from using the system.
Classifier ensembles optimization guided by population oracle

Dynamic classifier ensemble selection is focused on selecting the most confident classifier ensemble to predict the class of a particular test pattern. The overproduce-and-choose strategy is a dynamic classifier ensemble selection method which is divided into optimization and dynamic selection phases. The first phase involves the test of different candidate ensembles in order to produce a population composed of the highest performing candidate ensembles. Then, the second phase calculates the domain of expertise of each candidate ensemble to pick up the solution with highest degree of certainty of its decision to classify the unknown test samples. It has been shown that the optimization phase decreases oracle, the upper bound of dynamic selection processes. In this paper we propose a hybrid algorithm to perform the optimization phase of overproduce-and-choose strategy. The proposed algorithm combines stochastic initialization of candidate ensembles of different sizes, with the traditional forward search greedy method. The objective is to apply oracle as search criterion during the optimization phase. We show experimentally that choosing the population of classifier ensembles taking into account the population oracle leads to increase the upper bound of the dynamic selection phase. Moreover, experimental results conducted to compare the proposed method to a multi-objective genetic algorithm (MOGA), demonstrate that our method outperforms MOGA on generating population of candidate ensembles with higher oracle rates.
A Churn Model Based on the Global Geographical Distribution of Nodes

The dynamics of peer participation, or churn, is critical for design, implementation and evaluation of Peer-to-peer (P2P) systems. The metrics used to characterize the churn is distributions of the node session lengths and arrival intervals. The prior studies setup the model by measuring the historical logs or records, and treat the churn as one whole black-box without understanding the inside of peer’s population. We investigate churn in another point of view, and find that modeling it based on the global geographical distribution of peer nodes will result in a system which behave in the way compliant to the measurement taken by previous works. By this model, we do see some more future things than other models. We might expect or predict when and what nodes would return back, as well as when and what nodes would disappear at high possibility. So it is useful when designing a system optimized both to the pass and the future, which could reduce the overhead of the maintenance of underlying overlay network of DHTs and lower the redundant level of replications for P2P storage system.
Coil structure optimization method for improving coupling coefficient of wireless power transfer

The low coupling coefficient is the main reason that results in difficulties to design a high performance mid-range wireless power transfer (WPT) system which uses magnetic resonant coupling. The advantages of improving the coupling coefficient are quantitatively discussed in this paper. It is highlighted that improving coupling coefficient is the only method to reduce the sensitivity to frequencies. Furthermore, this paper proposes a method that improves the coupling coefficient by optimizing the structure of the coils. The optimization of a pair of spiral coils is presented. The method has much lower computation cost than finite element analysis (FEA) and its accuracy is sufficient for design procedures.