Miracle-dz/UniFAR-FTUs huggingface dataset:
Data-Driven Service Composition in Enterprise SOA Solutions: A Petri Net Approach

Under Service Oriented Architecture (SOA), service composition is used to integrate service components together to meet new business needs. In this paper, we propose a novel data-driven method to provide service composition guidance to implement given requirements. Based on the relations between business domain data and service domain data, we generate additional data mediations according to three composition rules. With these data relations and composition rules, we propose a Petri-net based approach to the composition of services. In our approach, all the in/output messages of the service operations are modeled as colored places, and service operations themselves are modeled as transitions with input/output places. We first generate a Service Net (SN) that contains all operations in a given service portfolio, and then use Petri-net decomposition techniques to derive a subnet of SN, and this subnet meets the need of the business requirement. Our work can be seen as an effort to bridge the gap between business and service domains.
Delayed umbilical cord clamping in cesarean section reduces postpartum bleeding and the rate of severe asphyxia.

PURPOSE OF INVESTIGATION To explore the effect of delayed umbilical cord clamping in cesarean section on outcomes of mothers and newborns. MATERIALS AND METHODS A total of 338 pregnant women under cesarean section were randomly divided into two groups: study group with delayed umbilical cord clamping after pulsation loss, and control group with early clamping within 60 seconds after birth. RESULTS There were no significant differences in hemoglobin and hematocrit in newborn cord blood, the highest bilirubin after birth, Apgar scores at one and five minutes after birth, and in the occurrence of neonatal hyperbilirubinemia or application of phototherapy. There were significant differences in placental residual blood, the amount of postpartum bleeding, hemoglobin and hematocrit in newborn heel blood, and the rate of neonatal resuscitation after ten minutes in both groups. CONCLUSION Umbilical cord clamping should be employed after pulsation loss to avoid adverse effect of early clamping.
Automatic Detection of Proverbs and their Variants

This article presents the task of automatic detection of proverbs in Brazilian Portuguese, from the intersection of the regular syntactic structure of proverbs and their core elements. We created finite-state automata that enabled us to look for these word combinations in running texts. The rationale behind this method consists in the fact that although proverbs may have a normal sentence structure and often a very commonly used lexicon, their specific word-combinations may enables us to identify them and their variants irrespective of the syntactic or structural changes the proverb may undergo. The goal of this task is to gather the largest number of proverbs and their variants. The results showed precision 60.15%. 1998 ACM Subject ClassificationI.2. 7 Natural Language Processing
An Intensive Case Management Approach for Paroled IV Drug Users

The need for drug abuse treatment to reduce recidivism in prison systems has led to increasing interest in treatment alternatives for correctional clients. The research on the effectiveness of treatment alternatives, however, has lagged behind the interest in and implementation of new programs. This article reports on early findings from an ongoing longitudinal study of the efficacy of an intensive case management approach, Assertive Community Treatment (ACT), for treating parolees with past drug problems, compared with a group of parolees who were not offered this treatment program. Using follow-up data on 135 subjects interviewed at release from prison and then reinterviewed about six months later, the ACT group and comparison group are examined in terms of recidivism and relapse to drug use. Bivariate analyses suggest little difference between the two groups. Multivariate analyses, however, suggest several important variables that were not manipulated in this “quasi-experiment,” but are predictive of relapse and recidivism. Although the limited sample size available at present precludes any definitive conclusions, discussion focuses on the direction of findings and highlights the necessity for multivariate controls in assessing the effectiveness of any intervention with criminal justice clients.
Cerebral platelet thromboembolism and thromboxane synthetase inhibition.

Platelet aggregating sodium arachidonate was slowly infused into the internal carotid artery (1 mg, 100 microliters, 1 microliter/s) of nitrous oxide anesthetized rats. The electroencephalographic activity recorded by a Cerebral Function Monitor from the injected hemisphere was reduced within minutes. The somatosensory evoked responses to contralateral electrical stimulation of the whisker area were eliminated on the same side in most cases when measured five and fifteen minutes after the infusion. The brain was frozen in situ with liquid nitrogen after fifteen minutes. Regional tissue analysis showed ipsilateral derangement of the cerebral energy state and increased lactate levels. Pretreatment with the platelet antiaggregating thromboxane synthetase inhibitor OKY-1581 (Sodium-3-4-(3-pyridylmethyl)phenyl-2-methyl-acrylate), 30 mg/kg i.v. , fifteen minutes before the sodium arachidonate infusion prevented cerebral energy failure and elimination of the sensory evoked responses.
Wireless Data Access in Mobile Hotspots: A Simulation Study

Mobile hotspots enable ubiquitous Internet access while users are on-board a vehicle. In this paper, we investigate wireless data access applications with strong consistency in mobile hotspots. Through extensive simulations, we quantify the performances of two well-known strongly consistent data access algorithms: poll-each-read (PER) and callback (CB). We develop a comprehensive simulation model that considers wireless link characteristics in mobile hotspots. Simulation results demonstrate the access-to-update ratio is an important factor to determine the performances of PER and CB. In addition, the effects of cache size, data access pattern, and wireless link bandwidth on the wireless data access algorithms are analyzed. Finally, valuable observations for performance optimizations are given.
Effect of Hospital-based Cardiac Rehabilitation on Quality of Life and Physical Capacity in Acute Myocardial Infarction Patients: 2 Years Follow Up

Objective: The aim of this study was to investigate the effect of hospital-based cardiac rehabilitation (CR) on quality of life (QOL) and physical functions in patients with acute myocardial infarction (AMI) during 2 years of followup. Methods: All AMI patients referred to the Cardiac Health and Rehabilitation Center (CHRC) were informed about CR and followed for 2 years on an outpatient basis from July 2010 to December 2015. Patients who were divided into a CR group and non-CR group. All patients took home-based self-exercise as CR programs of CHRC and in addition, the CR group received hospital-based supervised exercise training three times a week for 2 months. Both groups were evaluated for physical capacity and QOL at baseline, after 2 months of exercise training, and at 6 months, 1 year, and 2 years of follow-up. Results: The CR group showed significant improvements in physical functioning (PF), physical role functioning, bodily pain, vitality (VT), social role functioning, emotional role functioning, mental health, physical component summary (PCS), and mental component summary at all-time points compared to baseline. At 1 year of follow-up, the CR group displayed significantly greater PF, general health perceptions, VT, and PCS values than the non-CR group. Regarding physical capacity, the CR group exhibited significantly lower resting heart rate and significantly greater maximal oxygen consumption and metabolic equivalents than the non-CR group at 6 months of follow-up. Conclusion: Hospital-based CR was effective in promoting QOL and early improvement in exercise capacity in patients with AMI. Further, the improvement in QOL was maintained for up to 2 years.
A Broader View: Microbial Enzymes and Their Relevance in Industries, Medicine, and Beyond

Enzymes are the large biomolecules that are required for the numerous chemical interconversions that sustain life. They accelerate all the metabolic processes in the body and carry out a specific task. Enzymes are highly efficient, which can increase reaction rates by 100 million to 10 billion times faster than any normal chemical reaction. Due to development in recombinant technology and protein engineering, enzymes have evolved as an important molecule that has been widely used in different industrial and therapeutical purposes. Microbial enzymes are currently acquiring much attention with rapid development of enzyme technology. Microbial enzymes are preferred due to their economic feasibility, high yields, consistency, ease of product modification and optimization, regular supply due to absence of seasonal fluctuations, rapid growth of microbes on inexpensive media, stability, and greater catalytic activity. Microbial enzymes play a major role in the diagnosis, treatment, biochemical investigation, and monitoring of various dreaded diseases. Amylase and lipase are two very important enzymes that have been vastly studied and have great importance in different industries and therapeutic industry. In this review, an approach has been made to highlight the importance of different enzymes with special emphasis on amylase and lipase in the different industrial and medical fields.
Model-based test prioritization heuristic methods and their evaluation

During regression testing, a modified system needs to be retested using the existing test suite. Since test suites may be very large, developers are interested in detecting faults in the system as early as possible. Test prioritization orders test cases for execution to increase potentially the chances of early fault detection during retesting. Most of the existing test prioritization methods are based on the code of the system, but model-based test prioritization has been recently proposed. System modeling is a widely used technique to model state-based systems. System models may not only be used to generate test cases but also to prioritize tests. In model-based prioritization, information collected during execution of a model is used to prioritize tests for execution. In this paper we present several model-based test prioritization heuristics. The major motivation to develop these heuristics was simplicity and effectiveness in early fault detection. We have conducted a small experimental study in which we experimentally compared model-based test prioritization heuristics. The results have shown that some simple heuristic methods can be as effective in early fault detection as more complex ones.
Arrhytmic and Non-Arrhytmic Heartbeat Classification based on Gaussian Mixture Model

Probabilistic neural networks have been frequently used in classification of nonstationary and individual signal patterns due to its prediction capability rather than certain results. The purpose of this study is to perform the classification of heartbeat in arrhythmic and non-arrhythmic electrocardiogram (ECG) signal based on Gaussian mixture model and logarithmic linearization. To achieve this operation, a log-linearized Gaussian mixture network (LLGMN) was used and the training and comparison calculations attaining high performance were explained. The proposed method was applied on the EKG signals from MIT-DB database and also real subjects, and resulted the classification at the rates of 99.93% sensitivity, 96.32% positive predictive value and 0.71% error. The proposed algorithm is independent to the sampling rates of ECG device and individual frequency characteristics of the heart beats, and does not required prepossessing such as filtering. It also can be operated regardless of the type of arrhythmic or non-arrhythmic ECG signal. Based on the results, the proposed algorithm is capable of high performance classification for different types of ECG signals from various channels in various characteristics.
The “Spiral of Silence” Revisited: A Meta-Analysis on the Relationship Between Perceptions of Opinion Support and Political Opinion Expression

The key assumption of spiral of silence theory is that opinion climate perceptions affect political opinion expression. We meta-analyzed the strength of this relationship and clarified the impact of theoretically relevant moderators. Sixty-six studies collectively including more than 27,000 participants were located. We observed a significant positive relationship (r = .10; Zr = .10) between opinion climate and opinion expression. This relationship was not weaker in online as compared with offline opinion expression environments. Also, the relationship did not vary by the number of the targets of opinion expression, the opinion of the targets, the opinion climate characteristics, and the design, measurement, and sample characteristics. The largest silencing effect (r = .34), however, was observed when participants talk to their family, friends, or neighbors about obtrusive issues. Overall, our findings suggest that the relationship between opinion climate perception and political opinion expression is stronger and more robust than previously thought.
Determining the Availability of Grid Resources Using Active Probing

Determining qualitative availability aspects of Grid resources is a complex and cumbersome task because of the inherent characteristics of a Grid like Virtual Organizations. To cope with these challenges we argue for a more qualitative specification of availability which respects inter-organizational aspects besides pure technical values and percentages. Although there are several existing approaches and tools to determine the availability of Grid resources, none of them supports our perspective of availability adequate enough. We propose with DAGA (Determining the Availability of Grid-Resources using Active Probing) a new approach which is both service oriented and active probing based. DAGA respects the specifics of Grid architectures, such as VO-specific authorization and authentication.
Dynamic Service Model Based on Context Resources in the Internet of Things

The Internet of things(IoT) is considered to be the next step in the revolution of internet, the combination of the Internet and emerging technologies such as nearfield communic- ations, real-time localization, and embedded sensors,which lets us transform everyday objects into smart objects that can understa- nd and react to their environment.With an increasing diversity of RFID devices integrated in our surroundings and an increasing mobility reader of users in the IoT environment,smart devices such as mobile reader of resources are scarce.Lots of works have already been done in this direction on how to capture context resources information.Among the remaining challenges are to create the intelligence to analyze the context resources information and deduce the meaning out of it to select services. On the other hand, the computing resources in an IoT cannot readily add the flexibility to individual users due to their fixed location.Context-aware computing is also an important area of IoT.The purpose of this paper is to propose a formal IoT context model to perform self-adaptive dynamic service.At last, we provide a general context aware service based on IoT communication. Our context model is used for service match and service composition to reduce the consumption of devices resources and cost.
Capacity Constraints Across Nests in Assortment Optimization Under the Nested Logit Model

We consider assortment optimization problems when customers choose according to the nested logit model and there is a capacity constraint limiting the total capacity consumption of all products offered in all nests. When each product consumes one unit of capacity, our capacity constraint limits the cardinality of the offered assortment. For the cardinality constrained case, we develop an efficient algorithm to compute the optimal assortment. When the capacity consumption of each product is arbitrary, we give an algorithm to obtain a 4-approximate solution. We show that we can compute an upper bound on the optimal expected revenue for an individual problem instance by solving a linear program. In our numerical experiments, we consider problem instances involving products with arbitrary capacity consumptions. Comparing the expected revenues from the assortments obtained by our 4-approximation algorithm with the upper bounds on the optimal expected revenues, our numerical results indicate that the 4-approxim.
Do Radioisotope Clocks Need Repair ? Testing the Assumptions of Isochron Dating

The assumptions of conventional whole-rock and mineral isochron radioisotope dating were tested using a suite of radioisotopes from two Precambrian rocks. Amphibolite from the Beartooth Mountains of Wyoming shows evidence of thorough metamorphism by isochemical processes from andesite by an early Precambrian magma-intrusion event. A diabase sill, exposed within the wall of Grand Canyon at Bass Rapids, formed by a rapid intrusion event. The event segregated minerals gravitationally, apparently starting from an isotopically homogeneous magma. Although K-Ar, Rb-Sr, Sm-Nd, and Pb-Pb methods ought to yield concordant isochron dates for each of these magmatic events, these four radioisotope pairs gave significantly discordant ages. Special allowance was made for larger-than-conventional uncertainties expressed as 2σ errors associated with the calculated “ages. ” Within a single Beartooth amphibolite sample, three discordant mineral isochron “ages” range from 2515±110 Ma (Rb-Sr mineral isochron) to 2886±190 Ma (Sm-Nd mineral isochron). The diabase sill in Grand Canyon displays discordant isochron “ages” ranging from 841.5±164 Ma (K-Ar whole-rock isochron) to 1379±140 Ma (Sm-Nd mineral isochron). Although significant discordance exists between the K-Ar, Rb-Sr, Sm-Nd, and Pb-Pb radioisotope methods, each radioisotope pair appears to yield concordant “ages” internally between whole-rocks and minerals. Internal concordance is best illustrated from the Bass Rapids diabase sill by the tightly constrained Rb-Sr whole-rock and mineral * Chairman, Geology Department, Institute for Creation Research, Santee, California 326 Steven A. Austin isochron “ages” of 1055±46 Ma and 1060±24 Ma, respectively. The most problematic discordance is the Sm-Nd and Pb-Pb whole-rock and mineral isochron “ages” that significantly exceed the robust Rb-Sr whole-rock and mineral isochron “ages. ” It could be argued that the robust Rb-Sr whole-rock and mineral isochron “ages” are in error, but an adequate explanation for the error has not been offered. The geological context of these Precambrian rocks places severe limitations on possible explanations for isochron discordance. Inheritance of minerals, slow cooling, and post-magmatic loss of daughter radioisotopes are not supported as processes causing isochron discordance in Beartooth amphibolite or Bass Rapids diabase. Recently, geochronologists researching the Great Dyke, a Precambrian layered mafic and ultramafic intrusion of Zimbabwe in southeast Africa, have documented a similar pattern of radioisotope discordance. Alpha-emitting radioisotopes (147Sm, 235U, and 238U) give older “ages” than β-emitting radioisotopes (87Rb and 40K) when applied to the same rocks. Therefore, it can be argued that a change in radioisotope decay rates in the past could account for these discordant isochron “ages” for the same geologic event. Conventional radioisotope clocks need repair.
A two party haptic guidance controller via a hard rein

In the case of human intervention in disaster response operations like indoor firefighting, where the environment perception is limited due to thick smoke, noise in the oxygen masks and clutter, not only limit the environmental perception of the human responders, but also causes distress. An intelligent agent (man/machine) with full environment perceptual capabilities is an alternative to enhance navigation in such unfavorable environments. Since haptic communication is the least affected mode of communication in such cases, we consider human demonstrations to use a hard rein to guide blindfolded followers with auditory distraction to be a good paradigm to extract salient features of guiding using hard reins. Based on numerical simulations and experimental systems identification based on demonstrations from eight pairs of human subjects, we show that, the relationship between the orientation difference between the follower and the guider, and the lateral swing patterns of the hard rein by the guider can be explained by a novel 3rd order auto regressive predictive controller. Moreover, by modeling the two party voluntary movement dynamics using a virtual damped inertial model, we were able to model the mutual trust between two parties. In the future, the novel controller extracted based on human demonstrations can be tested on a human-robot interaction scenario to guide a visually impaired person in various applications like fire fighting, search and rescue, medical surgery, etc.
Euclid Calma Radio Link Frequency Assignment Project Technical Annex T-2.2.1.b: Combinatorial Lower Bounds for the Rlfap

We consider the radio link frequency assignment problem, and obtain lower bounds by deening appropriate relaxations of the problem. We have used the results to estimate the performance of local search methods for the radio link frequency assignment problem developed earlier. These approximation algorithms are described in the technical annex to report 2.3. 3.
Lennard-Jones quark matter and massive quark stars

Quark clustering could occur in cold quark matter because of the strong coupling between quarks at realistic baryon densities of compact stars. Although one may still not be able to calculate this conjectured matter from first principles, the inter-cluster interaction might be analogized to the interaction between inert molecules. Cold quark matter would then crystallize in a solid state if the inter-cluster potential is deep enough to trap the clusters in the wells. We apply the Lennard-Jones potential to describe the inter-cluster potential, and derive the equations of state, which are stiffer than that derived in conventional models (e.g., MIT bag model). If quark stars are composed of Lennard-Jones matter, they could have high maximum masses ($>2M_{\odot}$) as well as very low masses ($<10^{-3}M_{\odot}$). These features could be tested by observations.
Agent Based Personalized Semantc Web Information Retrieval System

Every user has an individual background and a precise goal in search of information. The goal of personalized search is to search results to a particular user based on the user’s interests and preferences. Effective personalization of information access involves two important challenges: accurately identifying the user context and organizing the information to match with the particular context. In this paper, the system uses ontology as a knowledge base for the information retrieval process. It is one layer above any one of search engines retrieve by analyzing just the keywords. Here, the query is analyzed both syntactically and semantically. The developed system retrieves the web results more relevant to the users query. The level of accuracy will be enhanced since the query is analyzed semantically. The results are re-ranked and optimized for providing the relevant links. Based on the user’s information access behavior, an ontological profile is created, which is also used for personalization. If the system is deployed for web information gathering, search performance can be improved and accurate results can be retrieved.