Miracle-dz/UniFAR-FTUs huggingface dataset:
A learning algorithm for optimizing continuous integration development and testing practice

Continuous integration, at its core, includes a set of practices that aim to prevent and reduce the cost of software integration issues by merging working software copies often. Regression testing is considered a good practice in software development with continuous integration, which ensures that code changes are not negatively affecting software functionality. As, nowadays, software development is carried out iteratively, with small code increments continuously developed and regression tested, it is of critical importance that continuous regression testing is time efficient. However, in practice, regression testing is often long lasting and faces scalability problems as software grows larger or as software changes are made more frequently. One contributing factor to these issues is test redundancy, which causes the same software functionality being tested multiple times across a test suite. In large‐scale software, especially highly configurable software, redundancy in continuous regression testing can significantly grow the size of test suites and negatively affect the cost effectiveness of continuous integration. This paper presents a practical learning algorithm for optimizing continuous integration testing by reducing ineffective test redundancy in regression suites. The novelty of the algorithm lies in learning and predicting the fault‐detection effectiveness of continuous integration tests using historical test records and combining this information with coverage‐based redundancy metrics. The goal is to identify ineffective redundancy, which is maximally reduced in the resulting regression test suite, thus reducing test time and improving the performance of continuous integration. We apply and evaluate the algorithm in two industrial projects of continuous integration. The results show that the proposed algorithm can improve the efficiency of continuous integration practice in terms of decreasing test execution time by 38% on average compared to the industry practice of our case study and by 40% on average compared to the retest‐all approach. The results further demonstrate no significant reduction in fault‐detection effectiveness of continuous regression testing. This suggests that the proposed algorithm contributes to the state of the practice in the continuous integration development and testing of highly configurable systems.
Alcohol Use Disorder and Depression in Patients with Alcohol-Related Seizures

Abstract Both alcohol use disorder and depression are important aspects of health in the general population and among patients with epilepsy. Depression is the most prevalent psychiatric comorbidity in epilepsy, thereby increasing morbidity as well as mortality rate. From our experience, we can see that one third of epilepsy inpatients experience seizures that are alcohol-related. There have been no studies conducted in Latvia about alcohol use disorder and depression in patients with alcohol-related seizures (ARS) and epilepsy. We recruited 108 patients with ARS, 44 of whom had comorbid epilepsy. 75% of patients in our study had depression according to the Hamilton depression scale. Higher score in the Alcohol Use Disorder Identification Test was associated with thoughts of self-harm. Greater consumption of alcohol on a typical day when drinking was associated with a higher risk of alcohol dependence. Of patients without epilepsy, 60% received antiepileptic drugs (AEDs) and 17% even used 2–3 different drugs to overcome ARS. A large part of patients had not been warned by their physician that alcohol provokes seizures. Our data could help to identify greater suicidality risk and alcohol dependence risk cases in patients with ARS, as well as improve care for this group of patients in general.
Proposal for a suspend/resume extension to the OSGi specification

The OSGi platform is a service-oriented architecture allowing the deployment of software components (called bundles). This report proposes an architecture allowing a bundle activity to be suspended and later resumed in the OSGi platform. This architecture consists primarily in an extension to the OSGi specification. In order to ease the development of bundles according to this extension to the specification, a centralized thread management is proposed. An implementation of these extensions is presented. It is based on Apache Felix, a particular implementation of the OSGi specification.
Hugoniot of shocked liquid deuterium up to 300 GPa: Quantum molecular dynamic simulations

Quantum molecular dynamic (QMD) simulations are introduced to study the thermophysical properties of liquid deuterium under shock compression. The principal Hugoniot is determined from the equation of states, where contributions from molecular dissociation and atomic ionization are also added onto the QMD data. At pressures below 100 GPa, our results show that the local maximum compression ratio of 4.5 can be achieved at 40 GPa, which is in good agreement with magnetically driven flyer and convergent-explosive experiments; At the pressure between 100 and 300 GPa, the compression ratio reaches a maximum of 4.95, which agrees well with recent high power laser-driven experiments. In addition, the nonmetal-metal transition and optical properties are also discussed.
Computer Performance Measurement and Evaluation Methods: Analysis and Applications.

Abstract : This study concentrates on the measurement problem of a complex computer system. Several issues are attacked: system representation, evaluation and application of computer performance evaluation tools, power of a performance monitor, design of a performance monitor. For an external observer, performance of a computer system is the quality and the quantity of service delivered by the system. However, a computer system is a hierarchy of several levels, the lowest level being the circuit level, the highest the Software Support level. Performance of the system as a whole is determined by performance of individual levels. A conceptual model of an evaluated computer system, the P-model, is defined in this study using the principles of general systems theory; it provides a convenient uniform description for observing a computer system at any of these levels. The elements of the P-model are the level components; the output are performance measures relevant to the particular level and the purpose of evaluation.
Local invariants for biological motion perception

ii Acknowledgements . iv Co-Authorship . v List of Figures . xi List of Tables . xiii Chapter 1 General Introduction . 1 1.1 Retrieving information from biological motion . 1 1.2 Distinct inversion effects with global and local sources . 4 1.3 Towards a better understanding of a local visual filter . 7 References . 16 Chapter 2 Perception of Animacy and Direction . 21 2.
Discovery of 47-s pulsations in the X-ray source 1RXS J225352.8+624354

We report on the discovery of pulsations at a period of »47 s in the persistent X-ray source 1RXS J225352.8+624354 (1RXS J2253) using five Chandra observations performed in 2009. The signal was also detected in Swift and ROSAT data, allowing us to infer over a 16-yr baseline an average, long-term period increasing rate of …17 ms per year and therefore to confirm the signal as the spin period of an accreting, spinning-down neutron star. The pulse profile of 1RXS J2253 (»50‐60% pulsed fraction) is complex and energy independent (within the statistical uncertainties). The 1‐10 keV Chandra spectra are well fit by an absorbed powerlaw model with i » 1.4 and observed flux of (2‐5) ◊ 10 i12 erg cm i2 s i1 . The source was also detected by INTEGRAL in the 17‐60 keV band at a persistent flux of »6 ◊ 10 i12 erg cm i2 s i1 , implying a spectral cut off around 15 keV. We also carried out optical spectroscopic follow-up observations of the 2MASS counterpart at the Nordic Optical Telescope. This made it possible to first classify the companion of 1RXS J2253 as a B0-1III-Ve (most likely a B1Ve) star at a distance of about 4‐5 kpc (favouring an association with the Perseus arm of the Galaxy). The latter finding implies an X-ray luminosity of »3 ◊ 10 34 erg s i1 , suggesting that 1RXS J2253 is a new member of the sub-class of low-luminosity long-orbitalperiod persistent Be/X-ray pulsars in a wide and circular orbit (such as X Persei).
Essentials of Qualitative Inquiry

This brief, inexpensive guide introduces students and novices to the key elements of qualitative research methods. Written in a friendly, conversational style, replete with good examples from multiple disciplines, student exercises, and key points to remember, the volume works ideally with other qualitative textbooks to provide a comprehensive overview to qualitative methods for students. Chapters cover the essentials of theory building, research design, methods, data collection and analysis, writing, ethics, rigor and proposal writing.
Protective influence of rosiglitazone against time-dependent deterioration of boar spermatozoa preserved at 17°C.

Spermatozoa are highly specialized cells, and energy metabolism plays an important role in modulating sperm viability and function. Rosiglitazone is an antidiabetic drug in the thiazolidinedione class that regulates metabolic flexibility and glucose uptake in various cell types, but its effects on boar sperm metabolism are unknown. In this study, we investigated the potential effect of rosiglitazone against time-dependent deterioration of boar spermatozoa during liquid preservation at 17°C. Freshly ejaculated semen was diluted with Beltsville Thawing Solution (BTS) containing different concentrations of rosiglitazone, and the motility, membrane and acrosome integrity of sperm were detected. Besides, we measured glucose uptake capacity, l-lactate production level, mitochondrial membrane potential, adenosine triphosphate (ATP) content and mitochondrial reactive oxygen species (mROS) production of sperm after boar semen had been incubated with or without rosiglitazone, iodoacetate (glycolysis inhibitor) and rotenone (electron transport chain inhibitor) for 5 days. The addition of rosiglitazone significantly enhanced sperm quality and had a strong protective effect on the sperm membrane and acrosome integrity during storage. BTS containing 50 μM rosiglitazone maintained the total motility of liquid-preserved sperm above 60% for 7 days. Rosiglitazone improved sperm quality by regulating energy metabolism manner of preserved sperm, protected the sperm mitochondrial membrane potential, enhanced sperm ATP production and in the meanwhile reduced mROS through enhancing glycolysis but not oxidative phosphorylation. The data suggested the practical feasibility of using rosiglitazone for improving boar spermatozoa quality during semen preservation.
State-based Home Visiting Strengthening Programs through State Leadership

The National Center for Children in Poverty (NCCP) is the nation's leading public policy center dedicated to promoting the economic security, health, and well-being of America's low-income families and children. Using research to inform policy and practice, NCCP seeks to advance family-oriented solutions and the strategic use of public resources at the state and national levels to ensure positive outcomes for the next generation. Founded in 1989 as a division of the Mailman School of Public Health at Columbia University, NCCP is a nonpartisan, public interest research organization. This report examines whether states are investing in home visiting in ways that promote better outcomes for young children and whether they meet the needs of children facing the greatest social and developmental risks. The purpose was to assess the direction of state policies and programs, not to evaluate program effectiveness. AUTHOR Kay Johnson, MPH, MEd, is a consultant to NCCP and former project director of its Project Thrive, which links policies for child health, early learning, and family support. She has broad expertise in many areas of maternal and child health and has led numerous studies of maternal and child health and early childhood fiscal and infrastructure issues. Thanks go first to the state program and policy officials who assisted us by completing the survey of state-based home visiting programs. we deeply appreciate their participation in this study and commitment to improving the lives of children and families. Thanks also to the participants in the policy roundta-ble, who represented perspectives from state policy, academic research, and program practice. The author is particularly grateful to Jane Knitzer, lisa Klein, and Helene Stebbins, who provided a thorough and thoughtful peer-review of earlier drafts, and to Judy Van ginkel, who provided useful insights about the structure of effective programs. Finally, we acknowledge the work of the NCCP publications staff who support the editorial and graphic quality of the document. Introduction Home visiting for families with young children is a longstanding strategy offering information, guidance, risk assessment, and parenting support interventions at home. The typical " home visiting program " is designed to improve some combination of pregnancy outcomes, parenting skills and early childhood health and development, particularly for families at higher social risk. This report is designed to help inform the field about two central questions related to home visiting: 1) Are states investing in home visiting in ways that promote improved outcomes for …
Paintings and Poetry: A Teaching/Learning Experience in Self-Actualization

1. J. Gips and G. Stiny, An Investigation of Algorithmic Aesthetics, Leonardo 8, 213 (1975); J. Gips, Shape Grammars and Their Uses, (Basel: Birkhauser, 1975): G. Stiny, Pictorial and Formal Aspects of Shape and Shape Grammars (Basel: Birkhauser, 1975). 2. M. Thompson, Computer Art: Pictures Composed of Binary Elements on a Square Grid, Leonardo 10, 271 (1977); Comments on the Algorithmic Aesthetic System of James Gips and George Stiny, Leonardo 8, 326 (1975); Intelligent Computers and Visual Artists, Leonardo 7, 227 (1974). 3. G. Stiny and J. Gips, Aesthetics: An Algorithmic Approach, University of California Press (in press). James Gips Computer Science Department Boston College Chestnut Hill, MA 02167, U.S.A.
Fine-grained object recognition via pose alignment and part based representation

In order to solve the problem of the subtle inter-class difference and large intra-class variation caused by different poses in fine grained object recognition, a new algorithm is proposed for fine-grained object recognition based on pose alignment and part based representation. In the training stage, firstly, dozens of typical poses of the object are summed up by clustering, and then a pose classifier is trained based on them which can be used to align object pose. Then, the fine-grained classifiers are trained by the visible parts and global feature ensembles in each pose subclass. Given an unseen test image, the probabilities that current test image belongs to each pose subclass are gotten via the pose classifier. The output from first k subclass classifiers is weighted combined to form a single classification decision. Our approach is especially valuable for fine-grained recognition when intra-class variations are extremely high. The proposed method is validated by the experimental results on the bird database CUB_2010-2011, which has the large intra-class variations. The results show that the proposed method has better performance than the existing methods.
Concepts of scale in simulated annealing

Simulated annealing is a powerful technique for finding near‐optimal solutions to NP‐complete combinatorial optimization problems. In this technique, the states of a physical system are generalized to states of a system being optimized, the physical energy is generalized to the function being minimized, and the temperature is generalized to a control parameter for the optimization process. Wire length minimization in circuit placement is used as an example to show how ideas from statistical physics can elucidate the annealing process. The mean of the distribution of states in energy is a maximum energy scale of the system, its standard deviation defines the maximum temperature scale, and the minimum change in energy defines the minimum temperature scale. These temperature scales tell us where to begin and end an annealing schedule. The ‘‘size’’ of a class of moves within the state space of the system is defined as the average change in the energy induced by moves of that class. These move scales are relat.
Evaluating Future Microprocessors: the SimpleScalar Tool Set

This document describes the SimpleScalar tool set, a collection of publicly-available simulation tools that use detailed e cution-driven to simulate modern processor architectures. In this report, we give an o verview of the tool set, show how to obtain, install and use it. We also discuss details about the tools’ internals, and document the SimpleScalar ar chitecture.
Visualization in Geo-Spatial Data

Visualiztion emerges in the background of digital technics.The function of visualization is to give the reins to humans thinking in terms of images in a state of interaction with computer. The maps are visual products in the first place and form a series of theory and method in process of its development.All of this would be the base of visualization of geospatial data.The GIS supporting with visualization will become a combinative tool of both thinking in terms of images and logic for researchers.
Seven Experiences in Teaching Pharmacology of Traditional Chinese Medical Formulae

Objective Explore how to improve the teaching quality of The Prescription Study. Methods:Expound from seven aspects such as improving teachers,professional quality,adopting flexible teaching methods,using modern teaching methods,strengthening the song memory,is infiltrating Chinese medicine knowledge,introducing pharmacological research and paying attention to practical teaching. Conclusion:Improve the teaching quality obviously from these seven aspects.
Test program sets-a new approach

The portable intelligent troubleshooter (POINTER) system, originally developed for manual fault isolation, has been applied to intelligent automatic testing, which requires a fresh look at test program set (TPS) design from the perspective of testability theory and artificial intelligence. The resulting novel automatic test and diagnostic approach is a significant departure from conventional test programming techniques. A prototype automatic test equipment (ATE) system that implements a diagnostic control algorithm that computes a context-sensitive test strategy in real time has been developed. This control algorithm operates on a dependency model that describes the testability characteristics of the unit under test (UUT) and a test procedures file that contains the instrumentation setup for each test available for the UUT. This approach to automated diagnostics reduces time and costs in UUT repair. <<ETX>>
Computer Intrusion: Detecting

Masqueraders in computer intrusion detection are people who use somebody else's computer account. We investigate a number of sta- tistical approaches for detecting masqueraders. To evaluate them, we collected UNIX command data from 50 users and then contaminated the data with masqueraders. The experiment was blinded. We show results from six methods, including two approaches from the computer science community.
Function Theory In Polydiscs

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CV Phonology: A Generative Theory of the Syllable

This work introduces a new approach to syllable representation. It proposes an additional level of phonological representation, the CV-tier; which defines functional positions within the syllable. The first three chapters provide an explanation of and support far this new approach from a typologically varied selection of languages, including English, Turkish, Finnish, French, Spanish, and Danish. The last two chapters are devoted to an in-depth application of the theory of Klamath, showing that a radical simplification of the phonological rules of that language is made possible in terms of this new framework. The book constitutes the first full-scale phonological justification for the CV-tier. George N. Clements is Associate Professor in the Linguistics Department at Cornell University and co-author, along with Morris Halle, of the recent MIT Press/ Bradford Books publication, "Problem Book in Phonology. "Samuel Jay Keyser is Head of the Department of Linguistics and Philosophy at MIT and editor of the Linguistic Inquiry Monograph Series.
Treatment of adcanced hepatoma with thalidomide combined with transcatheter arterial chemoembolization

Objective To investigate the efficacy of trating adcanced hepatoma with thalidomide combined with transcatheter arterial chemoembolization and its influence on alpha fetus protein(AFP) and vascular endothelial growth factor(VEGF). Methods The selected cases were divided into two groups randomly.The patients in trial group(37 cases) were treatd with thalidomide combined with transcatheter arterial chemoembolization,while those in control(35 cases) with transcatheter arterial chemoembolization only.Results The effective rate of trial group was 67.6%(25/37),which was 48.6%(17/35) in control group(P0.05). After treatment for four weeks,AFP and VEGF levels were significantly lower in trial group than thaose in control group,and the weight and KPS score of trial group was higher than those of control group [(69.6±8.9)kg vs.(57.7±12.7)kg and(53.2±8.1) scores vs.(43.8±4.2) scores,respectively](P0.05). Conclusion Combined use of thalidomide and transcatheter arterial chemoembolization could decrease the levels of AFP and VEGF and improve the survival quality of patients with advanced hepatoma.