Miracle-dz/UniFAR-FTUs huggingface dataset:
Internship II : Distributed and parallel DEVS simulation

In this report, we will continue to improve the performance of the PythonDEVS simulator. In our previous work[45], only the algorithms were changed in an attempt to obtain substantial speedups. Whereas now, we will use distributed simulation to gain even bigger speedups. Due to the complex nature of distributed simulation, the first chapter will provide an introduction to the most popular distributed simulation methodologies. In the second chapter we will direct our attention to the actual algorithms and features present in our new version of PythonPDEVS, together with a rationale for each decision. In the third and final chapter, the actual implementation will be discussed. Apart from these implementation details, problems, solutions and benchmarks, we also provide an updated ’Programming reference’ for the much updated API.
Assessment of antithrombin deficiency in the real world

Favaloro makes the important point that in common with most coagulation tests, the normal reference range for AT defines 95% of a population as being ‘normal’ and 5% lie outside this range. Favaloro agrees that the AT reference range is valid when estimated as we suggested using the 2.5–97.5 centiles; yet, he states that it is not valid to use a normal range to interpret results and offers no alternative recommendation. All samples yielding results below the reference range should be repeated and reduced levels may be associated with increased thrombotic risk irrespective of aetiology. Some individuals will have a SERPINC1 defect, but a significant number will have a reduced AT level owing to an acquired deficiency. Until there is a better way of interpreting results in relation to clinical phenotype, the reference range derived through this form of statistical analysis remains the main method. Ideally, there should be a threshold to define a reduced level that is associated with clinical significance, but such a threshold is not currently available and would need to take into account the characteristics of the assay used as well the characteristics of the population tested.
RELATIONSHIP BETWEEN RESOURCES AND SUSTAINABILITY OF SMALL TEA ENTERPRISES IN KENYA

This study presents findings on factors that influence sustainability of small tea enterprises in Kenya. Specifically, the study sought to examine the relationship between resources and dependent variable (sustainability) on small tea enterprises in Kenya. The population of the study is an estimated 420,000 small tea entrepreneurs who are members of Kenya Tea Development Agency spread in the seven tea-growing regions in Kenya. The study was a cross-sectional survey, and descriptive in design, carried out in the seven tea-growing regions. The study used a mixed method, which involved both qualitative and quantitative data analysis. Self-administered questionnaires were used for primary data collection while journals, books and the Internet were used for secondary data collection. Factor analysis was used to measure the variability among the variables. For test statistics, p-value less than 5% was considered significant. Cronbach’s analysis was used to test the equality of means of all independent variables. A regression model was also developed to establish the strength of the relationship between the dependent variable and independent variables. Presentation of information was done using mean scores and percentages and standard deviation. The findings indicated that four out of five hypotheses of the study were supported. These findings, it is hoped, will bridge the gaps in literature, identify and articulate alternative models for assessing sustainability of small tea enterprises for adoption, and will be used in the academia, agribusiness and by policy makers to improve the tea sector in Kenya.
Automated Interactive Threat Analysis of IT Architectures

Threat modeling or architectural risk analysis (ARA) is a process to find cybersecurity threats in an IT system by analyzing its architecture. Because of the large number of possible threats to consider in such an analysis, it helps to automate it. Automatic application of threat analysis rules gives more consistent results and reduces the dependency on expert knowledge in threat modeling, but asks the threat modeler to annotate the architecture with relevant information. The threat modeler will however still have to know what information to provide. In this disclosure we describe a system that interactively asks the threat modeler to supply such information, based on the analysis rules. This reduces the dependency on expert knowledge even further.
Character-level Annotation for Chinese Surface-Syntactic Universal Dependencies

This paper presents a new schema to annotate Chinese Treebanks on the character level. The original Universal Dependencies (UD) and Surface-Syntactic Universal Dependencies (SUD) projects provide token-level resources with rich morphosyntactic language details. However, without any commonly accepted word definition for Chinese, the dependency parsing always faces the dilemma of word segmentation. Therefore we present a character-level annotation schema integrated into the existing Universal Dependencies schema as an extension.
Physiological and Biomechanical Analyses of Rigidity in Parkinson's Disease

Parkinson’s disease is one of the most common movement disorders characterized by bradykinesia, rigidity, resting tremor and postural instability (Fahn, 2003). It affects nearly five million elderly people worldwide (de Lau & Breteler, 2006). As the population ages, the incidence and prevalence of Parkinson’s disease are expected to increase dramatically (Dorsey et al., 2007; Tanner & Goldman, 1996; Tanner & Ben-Shlomo, 1999). Rigidity is one of the clinical hallmark symptoms that characterize and define Parkinson’s disease. Rigidity is one form of the increased muscle tone, which is defined as a resistance to a passive movement. Rigidity is clinically characterized by an increase in muscle tone, and is felt as a constant and uniform resistance to the passive movement of a limb persisting throughout its range (Bantam, 2000; Fung & Thompson, 2002; Hallett, 2003). There are two types of rigidity: plastic or lead-pipe rigidity, in which resistance remains uniform, constant and smooth, such as experienced when bending a piece of lead; and cogwheel rigidity, in which tremor is superimposed on increased tone, giving rise to the perception of intermittent fluctuation in muscle tone. The latter is principally attributable to the combination of plastic rigidity and tremor. In addition to being a key element of parkinsonian rigidity, increased muscle tone also characterizes spasticity which is a common motor symptom in a few other neurological disorders, such as multiple sclerosis, stroke and cerebral palsy. Spasticity is clinically described as an increased resistance to passive movement due to hyperexcitability of stretch reflex (Lance, 1980; Rymer & Katz, 1994). Rigidity and spasticity share the characteristic feature of the increased muscle tone to a passive movement. However, the unique lead-pipe resistance can distinguish the increased muscle tone in rigidity from that associated with spasticity. In particular, the differentiation between rigidity and spasticity is not straightforward in a clinical scenario (Fung & Thompson, 2002). Rigidity generally responds well to dopaminergic medication and surgical intervention. Thus, it is used as a diagnostic criterion and to evaluate the efficacy of therapeutic interventions (Prochazka et al., 1997). Clinical examination and assessment of rigidity is determined by an examiner’s perception of resistance while rotating the limb at major joints, based upon the Unified Parkinson Disease Rating Scale (Fahn & Elton, 1987; Goetz et al., 2008). A better understanding of the physiological and biomechanical characteristics of rigidity merits scientific significance and clinical implication. In this chapter, studies on
Comparison Research on Three Biological Evolution Algorithms

As typical evolutionary algorithms, Artificial immune lgorithm, Genetic algorithm and Bee Colony algorithm have their own advantages. This paper introduced the basic knowledge of evolutionary algorithms, and detailed respectively descriped the characteristics of three algorithms, including how to be proposed, features and algorithm steps. Then in this paper, meta task scheduling and intelligent optimization algorithms in grid resource scheduling were as test method, under different parameters conditions analyzed and compared the performance of three algorithms. At last the comparison result was given.
Explorer Kintinuous : Spatially Extended KinectFusion

In this paper we present an extension to the KinectFusion algorithm that permits dense mesh-based mapping of extended scale environments in real-time. This is achieved through (i) altering the original algorithm such that the region of space being mapped by the KinectFusion algorithm can vary dynamically, (ii) extracting a dense point cloud from the regions that leave the KinectFusion volume due to this variation, and, (iii) incrementally adding the resulting points to a triangular mesh representation of the environment. The system is implemented as a set of hierarchical multi-threaded components which are capable of operating in real-time. The architecture facilitates the creation and integration of new modules with minimal impact on the performance on the dense volume tracking and surface reconstruction modules. We provide experimental results demonstrating the system’s ability to map areas considerably beyond the scale of the original KinectFusion algorithm including a two story apartment and an extended sequence taken from a car at night. In order to overcome failure of the iterative closest point (ICP) based odometry in areas of low geometric features we have evaluated the Fast Odometry from Vision (FOVIS) system as an alternative. We provide a comparison between the two approaches where we show a trade off between the reduced drift of the visual odometry approach and the higher local mesh quality of the ICP-based approach. Finally we present ongoing work on incorporating full simultaneous localisation and mapping (SLAM) pose-graph optimisation.
The Human Complement System in Health and Disease.

The Human Complement System in Health and Disease. Edited by John E Volanakis and Michael M Frank. (Pp 656; $225). New York: Marcel Decker, 1998. ISBN 0-8247-9898-8. The complement system is a key factor in host defence against infection and also plays important parts in many other biological systems, notably immune complex handling and the generation of an immune response. Complement has also been implicated as a pathogenic factor in many inflammatory and infectious diseases. Despite these numerous physiological and pathological roles, complement, the dreaded “C-word”, remains unloved by most students of immunology and medicine. Perhaps the major problem limiting the appeal of complement is the archaic and illogical terminology that characterises the field, remnants of the historical roots of discovery of complement. Those “in the know” realise that the terminology is a minor inconvenience; the problem lies in convincing …
Surfaces family with a common geodesic curve in Euclidean 3-space E3

This project deals with the problem of building a surface family from a known geodesic curve in Euclidean 3-space E3. In addition, we use the Serret–Frenet frame of the curve, to present the surface tangent plane that coincides with the curve rectifying plane, and analyze the necessary and sufficient condition that curve being geodesic. Moreover, the extended study to ruled surfaces and developable ones in certain are outlined. Finally,some interesting surfaces about subject are provided. Mathematics Subject Classification: 53A04, 53A05, 53A17, 53A25
Technical change and superstar effects: evidence from the roll-out of television

"Superstar effects" generate large compensation differentials among similarly talented individuals. Are superstar effects amplified by technological innovations that extend the scale over which talent is deployed? I test this idea in the market for entertainers, using the roll-out of television as a natural experiment which provides clean variation in a scale-related technological change. The launch of a local TV station increases top entertainers' incomes, resulting in a twofold increase in top-percentile income share, while reducing employment and incomes of lower-level talents. These results show clear evidence of superstar effects and are inconsistent with canonical models of skill-biased technological change.
Movement Science: Foundations for Physical Therapy in Rehabilitation

When writing can change your life, when writing can enrich you by offering much money, why don't you try it? Are you still very confused of where getting the ideas? Do you still have no idea with what you are going to write? Now, you will need reading. A good writer is a good reader at once. You can define how you write depending on what books to read. This movement science foundations for physical therapy in rehabilitation can help you to solve the problem. It can be one of the right sources to develop your writing skill.
Optimal pool abuse strategy

Bitcoin mining is in an essence a lottery. All the bitcoin miners independently try to find a winning ticket (block) defined as a hash lower than the current threshold. The bitcoin network adjusts this target based on the global hashing speed. On average, the bitcoin block is supposed to be found every 10 minutes. In practice, due to bitcoin hash speed growth, it is slightly less. If one mines independently, one has a probability of finding a block for a single hash equal to p = 1 2D , (1)
The Impact of Diabetes on the Lower Urinary Tract Dysfunction

Diabetes mellitus has reached epidemic proportion in Asia. The researches of lower urinary tract dysfunction in diabetes have received close attention in the last years. For decades, the main focus of diabetes associated lower urinary dysfunctions has been referred to diabetic cystopathy. In a traditional viewpoint, the voiding dysfunction of diabetes is attributed to the impairments of vesical afferents and afferents pathway. In fact, diabetes can affect the lower urinary tract function via the mechanisms of osmolarity diuresis, metabolic perturbation, microvascular damage and urothelial dysfunction in diabetes. The interaction of benign prostatic hyperplasia, metabolic syndrome and obesity on diabetic lower urinary tract dysfunction is another interesting issue for scientists. In this review, current knowledge about the pathophysiology and clinical presentations of lower urinary tract dysfunction in diabetes is discussed. Therefore, we could get forward to future research.
SIMON: Semantic Inference Model for Security in Cyber Physical Systems using Ontologies

—Cyber Physical Systems (CPS) are an integration of computational and physical processes, where embedded cyber systems monitor and control physical processes. Cyber attacks largely target components in the cyber domain with the intention of disrupting the functionality of the components in the physical domain. In this paper, we present SIMON, an Ontological design and veriﬁcation framework that captures the intricate relationship(s) between cyber and physical components in CPS by leveraging standard speciﬁcation Ontologies and extending the NIST CPS framework. We demonstrate the capabilities of SIMON using two vehicle to infrastructure (V2I) safety applications. In addition, we also investigate introducing resiliency measures that will ensure compliance of physical systems with their design speciﬁcations.
DBTAB : a Relational Storage Model for the YapTab Tabling System

Resolution strategies based on tabling have proved to be particularly effective in logic programs. However, when tabling is used for applications that store large answers and/or a huge number of answers, we can quickly run out of memory. In general, to recover space, we will have no choice but to delete some of the tables. In this work, we propose an alternative approach and instead of deleting tables, we store them externally using a relational database system. Subsequent calls to stored tables would import answers from the database, hence avoiding recomputation. To validate our approach, we have extended the YapTab tabling system to provide engine support for exporting and importing tables to and from the MySQL relational database management system.
Quality of Life among Dialysis Patients in United Arab Emirates

Background: Quality of Life (QOL) has emerged as an important parameter for evaluating the quality of health care for patients with renal failure. The QOL of dialysis patients in the United Arab Emirates (UAE) has not previously been studied. This research examined the cultural relevancy of two QOL tools and compared the QOL between dialysis patients and a sample from the community in UAE. Method: A descriptive comparative survey design was used to study the QOL of 161 dialysis patients and 350 participants from the community. Dialysis patients completed the SF-36 and the QOL Index dialysis version tool. Participants from the community completed the SF-36 and QOL Index generic version tool. Both samples also completed three open-ended questions about the cultural relevancy of the tools. Analysis using descriptive and inferential statistics was done within and between groups to establish similarities and differences in QOL scores. Open-ended questions were analysed thematically. Results: The overall QOL for dialysis patients was rated lower when self-assessed using the SF-36 compared with the community sample (58.92 vs. 75.02, p = <0.0001). Furthermore, the overall QOL for dialysis patients was rated almost the same when self-assessed using the QOL Index compared with the community sample (77.2 vs. 78.6, p = 0.421). Moreover, the total scores of both tools were higher in the community sample (75.02 vs. 78.6). The comparison between the statistically significant variables for both samples revealed contradictory results with the two tools. The majority of participants considered both tools culturally relevant in general. There were more questions that were not answered by participants in the QOL Index by both samples compared with the SF-36. Conclusion: In the UAE the SF 36 and the QOL Index capture different aspects of quality of life. Clinicians and researchers need to be aware of these differences when using these tools. An effective way of establishing the cultural relevancy of QOL tools involves comparing the QOL of a group with a health condition with a sample from the community, asking the participants about their views of the cultural relevancy of the tools, examining missing data, and asking participants open-ended questions about what they value in life.
Unconscious Perception of Scenes Reveals a Perceptual Neural Signature of Memorability

While certain images are consistently remembered and others forgotten irrespective of subjective experiences, the spatiotemporal neural circuitry subserving this behavior is yet to be understood. Using MEG data collected while participants viewed a highly rapid serial visual presentation of images, we find that memorable images have a more sustained and stronger perceptual neural signal even though memory encoding was completely masked. Revealing the underlying visual features and neuronal processes that determine the memory fate of a stimulus can guide machine learning to evolve into more human-like performance.
POST-MATCH RECALL OF SERVE AND SERVE HIGH-PERFORMANCE JUNIOR MALE AND FEMALE TENNIS PLAYERS

This study examined the capability of distribution of the serve and serve in two age categories namely under memory of their performance. There is n capacity to detect and document their own and their opponent’s serv patterns. Mann-Whitney U test showed knowledge bases. The use of more objective notational, game reviews or instructional tools particularly for players within this age group. reshape the core aspects of cognitive processing processing, through interactive multimedia software technology and environments.
Impact of non-indigenous species on the ecosystem of the Laurentian Great Lakes

Nonindigenous species have become major components of the fish, plankton, and benthic communities of the Saint Lawrence Great Lakes. For many years it was recognized that nonindigenous fishes had a major impact on native fishes. More recently, a number of studies have shown that the exotic species can and do have demonstrable impact on the physics, chemistry, and biology of the Great Lakes ecosystems. The sea lamprey, Petromyzon marinus, had a major impact on the Great Lakes fish communities and the fisheries (Hartman 1988). It severely and rapidly impacted populations of larger fishes, i.e., lake trout (Salvelinus namaycush); whitefish (Coregonus clupeaformis) burbot (Lata Iota) and chubs (Coregonus spp.). Populations of lake trout collapsed in Lakes Huron, Michigan, and Superior. The collapse of the lake trout population in Lake Michigan occurred very rapidly (Fig. 1). Populations of Coregonus artedii, the lake herring, also declined, but it is likely that populations of this coregonid was impacted by two other non-indigenous species, the smelt, Osmerus mordox, and the alewife, Alosa pseudoharengus. The lake herring populations declined as smelt populations increased, and increased when smelt populations were low in Lake Michigan (Fig. 2). The additional competition from the alewife seems to have reduced lake herring stock to a very low level in Lakes Huron and Michigan. The demise of the top predators in the upper lakes as well as the collapse of coregonid populations provided favorable conditions for
Determinants of Individual Investor Behaviour : An Orthogonal Linear Transformation

Expected utility theory views the individual investment decision as a tradeoff between immediate consumption and deferred consumption. But individuals do not always prefer according to the classical theory of economics. Recent studies on individual investor behavior have shown that they do not act in a rational manner, rather several factors influences their investment decisions in stock market. The present study considers this theory of irrationality of individual investors and investigates into their behaviour relating to investment decisions. We examine whether some psychological and contextual factors affect individual investor behaviour and if yes which factors influences most. Extrapolating from previous literature on economics, finance and psychology, we surveyed individual investors to find what and to what extent affects their investment behaviour. Our conceptual analysis, empirical findings and the perspective framework that we have developed in the present study, provide five major factors that can influence individual investor behaviour in Indian stock market. The findings can be useful in profiling individual investors and designing appropriate investment strategies according to their personal characteristics, thereby enabling them optimum return on their investments.