Miracle-dz/UniFAR-FTUs huggingface dataset:
An Investigation of Java Faults Operators Derived from a Field Data Study on Java Software Faults

The knowledge of real software faults representativeness is important to allow the emulation of software faults in a more accurate way through software fault injection techniques. This paper presents a field data study to analyze the representativeness of Java software faults, including security faults. The faults are classified according to a previous field study of C faults representativeness and new types of faults are identified due to the specific characteristics of the Java language structure. Results are compared and show that the mistakes most commonly made by programmers follow a pattern, independently of the programming language.
VHRM_A_204925 143..147

Helga Helgadóttir Ísleifur Ólafsson Karl Andersen Sveinbjörn Gizurarson 1Faculty of Pharmaceutical Sciences, University of Iceland, Reykjavik, Iceland; 2Department of Clinical Biochemistry, Landspitali University Hospital, Reykjavik, Iceland; 3Faculty of Medicine, University of Iceland, Reykjavik, Iceland Introduction: Conventional venous blood collection requires a puncture with a needle through the endothelium of a vessel. The endothelial injury causes activation of circulating platelets and the release of thromboxane A2. The aim of the study was to investigate if platelets continue to form thromboxane A2 in the blood tube after sample collection, but such synthesis would give false information about the actual circulating thromboxane A2 value. Methods: Thromboxane B2 is a biologically inactive but stable metabolite of thromboxane A2 and can be measured in blood samples by a standard enzyme immunoassay. Thromboxane B2 measurements reflect thromboxane A2 concentration. Blood samples were collected in 3.2% sodium citrate vials and EDTA vials from ten individuals and centrifuged and frozen at different time points (0, 30, and 120 minutes). Plasma aliquots were transferred to and frozen in 1.8 mL polypropylene tubes and the citrate samples were also transferred to and frozen in propylene tubes containing indomethacin. Results: Concentrations of thromboxane B2 in plasma samples collected in citrate vials and stored in propylene tubes increased very rapidly as the samples were left for longer after sampling and allowed to stand at room temperature. After 120 minutes, the amount of thromboxane B2 was 400% higher than in the reference sample at time zero. In comparison, thromboxane B2 concentration was about 200% higher in the 120-minute samples compared to the reference in samples collected in citrate vials but stored in indomethacin tubes. In samples collected in EDTA vials, a 10% reduction in thromboxane B2 concentration in the 120-minute samples was observed. Conclusion: Storage conditions, type of sampling vial and time from sampling until sample processing (centrifuging) has a major impact on thromboxane B2 stability.
Luminescence chronology and lithic technology of Tianhuadong Cave, an early Upper Pleistocene Paleolithic site in southwest China

Abstract Tianhuadong is a cave site located in the northwest of Yunnan Province, China. Since 2010, several surveys and one test excavation have yielded more than 1000 stone artifacts. The lithic assemblage shows some features of Levallois and Quina technologies, similar to those found in Middle Paleolithic sites in the Western Hemisphere. In this study, we summarize the lithic industry and propose a reliable chronology for the site using optically stimulated luminescence (OSL) dating of individual quartz grains extracted from sediments. We applied the standardized growth curve method to deal with the problem associated with the saturation in natural OSL signals in quartz. Our dating results yielded ages of 90–40 ka, suggesting that the associated lithic assemblage could be assigned to Marine Oxygen Isotope Stages 5 and 4 and could potentially represent Middle Paleolithic technologies. Because the number of Middle Paleolithic sites in southwest China is small, this site provides one of the few traces of human occupation in southwest China during the early upper Pleistocene. Thus, it is important for understanding hominin evolution and dispersal in this region.
AABC_A_217205 33..43

Muchtaridi Muchtaridi 1 Muhammad Yusuf 2 Hasna Nur Syahidah Anas Subarnas Adel Zamri 3 Sharon D Bryant Thierry Langer 5 1Department of Pharmaceutical Analysis and Medicinal Chemistry, Faculty of Pharmacy, Universitas Padjadjaran, Bandung, West Java, Indonesia; 2Department of Chemistry, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Bandung, West Java, Indonesia; 3Department of Chemistry, Faculty of Mathematics and Natural Sciences, Universitas Riau, Pekanbaru, Riau 26293, Indonesia; 4Inte: Ligand GmbH, Mariahilferstrasse, Vienna 1070, Austria; 5Department of Pharmaceutical Chemistry, Faculty of Life Sciences, University of Vienna, Vienna A1090, Austria Background: The 2ʹ,4ʹ-dihydroxy-6-methoxy-3,5-3-dimethylchalcone (ChalcEA) isolated from Eugenia aquea Burm f. leaves has potential anticancer activity against human breastadenocarcinoma cell lines (MCF-7) with an IC50 value of 250 μM. However, its apoptotic activity on the T47D breast cancer cell lines which is involving caspase-3 has not been investigated. Materials and methods: Therefore, this study aims to evaluate the cytotoxicity of ChalcEA on the T47D cell lines using the 2-(4-iodophenyl)-3-(4-nitrophenyl)-5-(2,4-disulfophenyl)-2H-tetrazolium (WST) method and to predict its possible antagonistic activity on the human estrogen receptor alpha (hERα) using pharmacophore and molecular dynamics (MD) methods. The in vitro test of 10 synthesized ChalcEA derivatives was also performed as an insight into the further development of its structure as an anticancer agent. Results: It is shown that ChalcEA has an IC50 of 142.58 ± 4.6 μM against the hERα-overexpressed T47D breast cancer cell lines, indicating its possible mechanism of anticancer activity as an antagonist of hERα. Pharmacophore study showed that ChalcEA shares similar features with the knownhERα antagonist, 4-hydroxytamoxifen (4-OHT),which has hydrogen bond donor (HBD), hydrogen bond acceptor (HBA), ring aromaticity (RA), and hydrophobicity (Hy) features. Molecular docking showed that ChalcEA formed hydrogen bonds with Glu353 and Arg394, and hydrophobic interactions in a similar manner with 4-OHT. Moreover, MD simulations showed that ChalcEA destabilized the conformation of His524, a remarkable behavior of a known hERa antagonist, including 4-OHT. Furthermore, the 10 best chalcone derivatives resulted from pharmacophoreand docking-based screening, were tested against the T47D cell lines. None of the derivatives have better activity than ChalcEA. It is suggested that the functional groups at the B-ring of ChalcEA are interesting to be further optimized in the next studies. Conclusion: ChalcEA might act as an antagonist toward hERα, thus warranting further investigation as a potential anticancer agent.
Home Appliances as Home Controllers : Concepts and Set-Top Box Implementation

In this paper we present a novel softwarebased home control platform suitable as an extension to digital home appliances that are equipped with a CPU (settop boxes, home theatre systems, TV sets, gaming consoles, etc). By using an appliance they are already accustomed to, users become able to control lights, appliances and media playback in their homes. Intelligence and awareness are achieved with a support for execution of recipes – preprepared scripts that define timely actions and respond to triggers obtained from sensors. Software abstraction layer facilitates integration of any desired communication protocol. In our prototype, we supported Zigbee and DMX for light control, X10 for light/appliances control over power line, as well as Ethernet-based optical cameras as motion / presence sensors and UPnP / DLNA based equipment for distributed media playback.
Artificial Intelligence to Play a Game

In computer games, Artificial Intelligence generally means creating computer players that can think rationally and also can act humanly. First problems of game AI were solved by making challenging computer players that play the best move. But as the games involved more imagination, new problems emerged such as designing humanly behaving and responding characters. Games are traditionally played by a group of players. Few examples are chess, hide-and-seek, football. In contrast, many computer games are single-player. So, there is a problem of interactivity in computer games. If the player perceives the game to be a deterministic machine, giving predictable outcomes, it probably will no longer feel like a game. To solve this problem, AI programmers create rational agents in the game to give the illusion of human players. If the player is faced by the challenge to win against intelligent rational opponents, the game feels more like a game.
In-band Network Telemetry based Network Anomaly Detection Scheme

Network anomaly detection is a technology that collects information about flows on a network and detects malicious attacks occurring in a network in real time. In-band Network Telemetry (INT) technology provides more detailed information in real time, that is not provided by existing networks, such as hop latency and queue occupancy. In this paper, we propose the method to implement an anomaly detection system with higher performance by using INT as an input feature of machine learning and verify it through experiments. ※ 이 논문은 2019년도 정부(과학기술정보통신부)의 재원으로 정보통신기술진흥센터의 지원을 받아 수행된 연구임 (No. 2017-0-00195, 멀티 서비스를 지원하는 프로그래머블 스위치 제어 기술 개발) ※ 이 논문은 2019년도 정부(과학기술정보통신부)의 재원으로 정보통신기획평가원의 지원을 받아 수행된 연구임 (No.2015-0-00575, 글로벌 SDN/NFV 공개소프트웨어 핵심 모듈/기능 개발) s First Author : Pohang University of Science and Technology Department of Computer Science Engineering, limjiyoon@postech.ac. kr ° Corresponding Author : Pohang University of Science and Technology Department of Computer Science Engineering, obiwan96@postech.ac. kr * Pohang University of Science and Technology Graduate school of Information Technology, jhyoo78@postech.ac. kr ** Pohang University of Science and Technology Department of Computer Science Engineering, jwkhong@postech.ac. kr 논문번호: KNOM2019-03-02, Received October 27, 2019; Revised November 29, 2019; Accepted December 20, 2019 KNOM Review '19-03 Vol.22 No.03
DMSO_A_191007 2461..2477

Akihiro Nishimura 1 Kimio Matsumura Shota Kikuno Kaoru Nagasawa Minoru Okubo Yasumichi Mori Tetsuro Kobayashi 2 1Department of Endocrinology and Metabolism, Toranomon Hospital, Tokyo, Japan; 2Division of Immunology and Molecular Medicine, Okinaka Memorial Institute for Medical Research, Tokyo, Japan Abstract: Slowly progressive type 1 insulin-dependent diabetes mellitus (SPIDDM), sometimes referred to as latent autoimmune diabetes in adults (LADA), is a heterogeneous disease that is often confused with type 1 and type 2 diabetes. As a result, there were few diagnostic criteria for this disorder until 2012, when the Japan Diabetes Society established criteria that could be used in clinical practice. A primary question is whether pathologic markers for type 1 or type 2 diabetes are present in the pancreas of patients with SPIDDM, because the phenotype of SPIDDM is similar to both type 1 and type 2 diabetes. Recent studies clarified pathologic findings in the pancreas of patients with SPIDDM, which included T-cell-mediated insulitis, a marker of type 1 diabetes; pseudoatrophic islets (islets specifically devoid of beta cells), another hallmark of type 1 diabetes; and a lack of amylin (ie, islet amyloid polypeptide) deposition to the islet cells, a pathologic marker of type 2 diabetes. In terms of preventing the loss of beta-cell function in patients with SPIDDM, several studies have shown that some drugs, including dipeptidyl peptidase-4 inhibitors, are effective. There is an increased need for early diagnosis of SPIDDM to preserve beta-cell function. This review presents updated findings on the pathogenesis and immunologic findings of the affected pancreas, diagnostic markers, risk factors for progression of beta-cell dysfunction, epidemiology, clinical features, diagnostic strategies, prevention strategies, and clinical options for patients with SPIDDM.
METASTATIC SPINAL CORD DISEASE

Spinal cord dysfunction from neoplastic compression is a devastating complication of cancer. This chapter covers the most common causes of spinal cord compression: epidural metastases and intramedullary spinal cord metastases. Less common causes of spinal cord dysfunction associated with cancer, including radiation myelopathy, paraneoplasia, and carcinomatous meningitis, are reviewed elsewhere in this issue. Improvements in neuroimaging, surgical, and radiation techniques have occurred and will continue to improve the outcome from spinal cord compression, but early diagnosis remains the cornerstone of preserved neurological function.
Quality and chemical composition of chicken eggs as affected by storage duration and method

The research was designed to evaluate the effect of storage duration and method on the quality and chemical composition of eggs. One hundred and fifty eggs obtained from 30 weeks old Lowman Brown hens were used for the study. Storage methods and durations employed were: zero storage (M1), 7 days refrigeration (M2), 14 days refrigeration (M3), 7 days room storage (M4) and 7 days room storage of petroleum jelly coated eggs (M5). Quality parameters measured were egg weight (EW), shell weight (SW), Shell thickness (ST), yolk weight (YW), yolk height (YH), Yolk diameter (YD), albumen weight (AW), Albumen height (AH) and albumen diameter (AD). Others were yolk index (YI) and Albumen index (AI). The chemical components of the egg studied were crude protein (CP), ether extract (EE), ash, nitrogen free extract (NFE). Results showed that eggs of M2 and M4 were significantly (p<0.05) higher in YH, YI, AH and AI than those under the other storage methods. Eggs under M5 were significantly (p<0.05) highest REPORT VOL. 4, 2018 ISSN 2394–3750 EISSN 2394–3769 SCIENCE TECHNOLOGY &
Analysis of Signals in the IceTop Detector to identify Muons in Extensive Air Showers

The IceTop experiment is an air shower detector array. It is part of the IceCube Neutrino Observatory that is currently under construction a the South Pole. IceTop will consist of 80 surface stations and can detect air showers with energies from 500 TeV to 1 EeV. Below the surface in a depth from 1450 m to 2450 m the muon detector IceCube is installed. It measures neutrinos indirectly by detecting muons produced in the rare interactions of neutrinos with matter of the earth. IceTop has to fulfill several tasks but a main focus is set on the analysis of the elemental composition of cosmic rays. The combination of the surface array and the deep muon detector allows to detect muons produced in air shower that penetrate deep into the ground. The number of such muons compared to the shower signature at the surface is related to the mass of the cosmic ray particle that initiated the shower. In this work it was tried to show that composition analysis is possible even without the use of the deep detector. Each of the 80 IceTop stations consists of two ice-filled tanks. The particles of the air shower produce Cherenkov light in the ice when they hit the tank. This light is recorded by digital optical modules. It was investigated how the recorded signals arise from air shower particles and what features of the signals can be used to identify single particles. It was found that the only characteristic footprint of muons in the detector is the more or less constant amount of light they produce. But this is sufficient to determine the average ‘muon content’ of air showers, which allows to determine the average mass of cosmic rays using the IceTop detector only. This can provide an independent method of composition analysis in addition to the combined detector system IceTop-IceCube.
Employee ’ s View on Job Satisfaction : A Study on Garments Industry in Bangalore

Purpose: This paper focuses on the job satisfaction of the employees of the ready-made garment industry in Bangalore. Introduction: Almost every country irrespective of its stage of development is engaged in garment Manufacturing and trading. This industry migrates from high-wage to low-wage countries like a “flying goose”. Almost, without any exception, historically, the readymade industry was the first industry a country was able to introduce, which eventually led to the development of other industries. Literature review: Literature review shows that after the liberation industrial base here in Bangalore had to face a sudden vacuum of the entrepreneurs). However, towards 1980’s a new industrial venture namely garments manufacturing factories started to grow with some favorable policy support from the Government and preferential treatment of major apparel importing countries by guaranteed share of their market. Methods: The data collection method is primary survey on employees of garment industry and experts of the same industry supported by secondary research on previous research, industry report, government paper, and interview of resource persons. Percentage analysis, hypothesis tests are the primary tools used for the data analysis. Conclusions: The findings show that garment workers are unhappy with their working environment and about pay package.
A Dynamic Weighted Area Assignment Based on a Particle Filter for Active Cooperative Perception

This article addresses an Active cooperative perception problem for networked robots systems. Given a team of networked robots, the goal is finding a target using their inherent uncertain sensor data. The article proposes a particle filter to model the probability distribution of the position of the target, which is updated using detection measurements from all robots. Then, an information-theoretic approach based on the RRT* algorithm is used to determine the optimal robots trajectories that maximize the information gain while surveying the map. Finally, a dynamic area weighted allocation approach based on particle distribution and coordination variables is proposed to coordinate the networked robots in order to cooperate efficiently in this active perception problem. Simulated and real experimental results are provided to analyze, evaluate and validate the proposed approach.
Research on the Impact of Debt Structure on Corporate Performance of Listed Real Estate Companies

Real estate companies are one of the most active forces in economic activities and occupy a large market share in China. Data of real estate listed companies from 2016 to 2018 are selected as samples to be listed on the Shanghai and Shenzhen stock exchanges. This paper studies by establishing panel data model, and used Stata15 software to empirically test different debt structures and whether debt levels affect performance. By processing the data, we can know that the higher the level of debt, the lower the company's performance, and performance will also improve as the proportion of short-term liabilities in the debt structure increases. The conclusion of this text shows that under the macro-economic background of deleveraging in China, real estate companies should reduce overall debt levels to reduce financial risks, and actively respond to national policies. In the structure of liabilities, the proportion of current liabilities should be appropriately increased to restrain the agent, reduce the risk investment behavior, and increase the business performance.
A Review of Existing Approaches to Increase the Computational Speed of the Python Language

The Python programming language has gained prominence in a wide range of fields, ranging from Computer Science to Medicine and Genetics to Astrophysics and Cosmology. The main reasons for this extensive applicability are Python’s versatility, the availability of robust, built-in libraries for all computations, readability, support for multiple programming paradigms and compatibility with several platforms. However, Python being an interpreted language, is slower than native, compiled languages like C/C++. It is also memory-intensive, due to flexible data types and throws a number of runtime errors, owing to flawed design. Most of the methods that have been developed to overcome Python’s low speed deal with optimizing Just-In-Time (JIT) compilers, specific to the Python language, which compile the interpreted codes on-the-fly. Some techniques describe general methodologies like optimum utilization of GPUs and increasing the efficiency of JIT Virtual Machines for dynamic programming languages. We present an expansive summary of all cutting edge approaches which aim to tackle Python’s low speed, in the hope that this would further increase its reach.
TWENTY-FIRST CENTURY EDUCATION: IS KENYA HEADING TOWARDS THE RIGHT DIRECTION OF IMPROVING TEACHING AND LEARNING AS PRESCRIBED BY EDUCATIONAL TRANSFORMATION PROGRAMME? Charles Nyakito National Teachers’ College, Unyama, P. O. Box 541, Gulu, Uganda

The past two decades have seen the emergence of a global movement that calls for a new model of teaching and learning for the twenty-first century. There is now a significant body of literature focusing mainly on three topics – motivations for a new model of teaching and learning, the specific competencies and skills needed to function effectively in the twenty-first century, and the pedagogy required to stimulate those capabilities. As the government of Kenya strives to transform her education system, one of the key questions that should be lingering in the minds of educators and policy makers and thus guide the process is: “Is twenty-first century education part of the overall educational transformation envisioned by Kenyan government? ” If it is, this paper, based on literature review, looks at some of the developments that influence twenty-first century education in schools and discusses whether we are going into the right direction. Some of the issues discussed are the concept and framework of twenty-first century learning; instructional and learning theories; paradigm shift in the roles of teachers, learners and technology; twenty-first century skills; and a brief look at some of the pedagogies for twenty-first century teaching and learning which inform educational transformation programme.
Metabolic disorders and cancer : is there a role for nutraceuticals ?

Obesity and overweight are defined as abnormal excess accumulation of fat in adipose tissue, which is recognized as a real organ with both metabolic and endocrine functions, and have a close relationship with oncological risk. The relationship between obesity and carcinogenesis is complex and not fully understood. However, obesity is frequently associated with several pathological states such as chronic inflammation, dyslipidaemia and insulin resistance (generally defined as metabolic disorders) which contribute to the increased risk of cancer in the overweight population. Current data show that metabolic disorders are often reversible with prompt therapeutic intervention, so these conditions and related carcinogenetic pathways should be managed for cancer prevention and therapy. Metformin and statins have demonstrated their ability to interfere with tumour processes but unfortunately also produce side effects, making long-term and preventative use difficult. Some nutraceutical compounds seem to be ideal for providing similar activity and effectiveness as these agents but with minor or absent side effects. This review examines the pathophysiology of metabolic disorders, their relationship with cancer and the possibility of interfering with associated processes with some promising nutraceuticals used as monotherapy or in combination with conventional therapies.