nils-herrmann/clean_scirepeval huggingface dataset:
FlowDroid: precise context, flow, field, object sensitive and lifecycle aware taint analysis for Android apps
Venue: PLDI
Year: 2014

Today's smartphones are a ubiquitous source of private and confidential data. At the same time, smartphone users are plagued by carelessly programmed apps that leak important data by accident, and by malicious apps that exploit their given privileges to copy such data intentionally. While existing static taint analysis approaches have the potential of detecting such data leaks ahead of time, all approaches for Android use a number of coarse grain approximations that can yield high numbers of missed leaks and false alarms. In this work we thus present FlowDroid, a novel and highly precise static taint analysis for Android applications. A precise model of Android's lifecycle allows the analysis to properly handle callbacks invoked by the Android framework, while context, flow, field and object sensitivity allows the analysis to reduce the number of false alarms. Novel on demand algorithms help FlowDroid maintain high efficiency and precision at the same time. We also propose DroidBench, an open test suite for evaluating the effectiveness and accuracy of taint analysis tools specifically for Android apps. As we show through a set of experiments using SecuriBench Micro, DroidBench, and a set of well known Android test applications, FlowDroid finds a very high fraction of data leaks while keeping the rate of false positives low. On DroidBench, FlowDroid achieves 93% recall and 86% precision, greatly outperforming the commercial tools IBM AppScan Source and Fortify SCA. FlowDroid successfully finds leaks in a subset of 500 apps from Google Play and about 1,000 malware apps from the VirusShare project.
Integrating Requirements Specification and Model Based Testing in Agile Development
Venue: 2018 IEEE 26th International Requirements Engineering Conference (RE)
Year: 2018

In agile development, Requirements Engineering (RE) and testing have to cope with a number of challenges such as continuous requirement changes and the need for minimal and manageable documentation. In this sense, extensive research has been conducted to automatically generate test cases from (structured) natural language documents using Model Based Testing (MBT) However, the imposed structure may impair agile practices or test case generation. In this paper, inspired by cooperation with industry partners, we propose CLARET, a notation that allows the creation of use case specifications using natural language to be used as central artifacts for both RE and MBT practices. A tool set supports CLARET specification by checking syntax of use cases structure as well as providing visualization of flows for use case revisions. We also present exploratory studies on the use of CLARET to create RE documents as well as on their use as part of a system testing process based on MBT. Results show that, with CLARET, we can document use cases in a cost effective way. Moreover, a survey with professional developers shows that CLARET use cases are easy to read and write. Furthermore, CLARET has been successfully applied during specification, development and testing of industrial applications.
Delivrance artificielle avec revision uterine chez une parturiente sans peridurale
Year: 2018

Resume En raison d'un risque d'inhalation bronchique accru sous anesthesie generale, la rachianesthesie est la meilleure technique anesthesique pour pratiquer une revision uterine en l'absence de peridurale. Lorsque les conditions de realisation d'une rachianesthesie ne sont pas remplies, une sequence d'induction rapide avec intubation est necessaire en cas d'anesthesie generale. Cette pratique doit etre developpee car elle n'est pas la norme sur le terrain. L'evaluation echographique du contenu gastrique peut etre utile pour faire evoluer les pratiques de controle des voies aeriennes dans ce contexte.
Elucidating the contribution of ETC complexes I and II to the respirasome formation in cardiac mitochondria
Venue: Scientific Reports
Year: 2018

Mitochondrial electron transport chain (ETC) plays a central role in ATP synthesis, and its dysfunction is associated with human diseases. Recent studies revealed that individual ETC complexes are assembled into supercomplexes. The main supercomplex, respirasome composed of complexes I, III, and IV has been suggested to improve electron channeling and control ROS production, maintain the structural integrity of ETC complexes and prevent protein aggregation in the inner mitochondrial membrane. However, many questions related to the structural organization of the respirasome, particularly, a possible role of complexes I and II in respirasome formation remain unclear. Here, we investigated whether genetic and pharmacological inhibition of complexes I and II affect respirasome assembly in cardioblast cells and isolated cardiac mitochondria. Pharmacological inhibition of the enzymatic activity of complexes I and II stimulated disruption of the respirasome. Likewise, knockdown of the complex I subunit NDUFA11 stimulated dissociation of respirasome and reduced the activity of complexes I, III, and IV. However, silencing of the membrane anchored SDHC subunit of complex II had no effect on the respirasome assembly but reduced the activity of complexes II and IV. Downregulation of NDUFA11 or SDHC reduced ATP production and increased mitochondrial ROS production. Overall, these studies, for the first time, provide biochemical evidence that the complex I activity, and the NDUFA11 subunit are important for assembly and stability of the respirasome. The SDHC subunit of complex II is not involved in the respirasome however the complex may play a regulatory role in respirasome formation.
Gate tuned quantum Hall states in Dirac semimetal (Cd1 xZnx)3As2
Venue: Science Advances
Year: 2018

Electronic structure of quantum confined Dirac semimetal is elucidated by establishing carrier control techniques in films. The recent discovery of topological Dirac semimetals (DSMs) has provoked intense curiosity not only regarding Weyl physics in solids but also about topological phase transitions originating from DSMs. One specific area of interest is controlling the dimensionality to realize two dimensional quantum phases such as quantum Hall and quantum spin Hall states. For investigating these phases, the Fermi level is a key controlling parameter. From this perspective, we report the carrier density control of quantum Hall states realized in thin films of DSM Cd3As2. Chemical doping of Zn combined with electrostatic gating has enabled us to tune the carrier density both over a wide range and continuously, even across the charge neutrality point. Comprehensive analyses of gate tuned quantum transport have revealed Landau level formation from linearly dispersed sub bands and its contribution to the quantum Hall states. Our findings also pave the way for investigating the low energy physics near the Dirac points of DSMs.
A re assessment of reporting bias in event based violence data with respect to cell phone coverage
Year: 2017

This paper discusses the issue of possible reporting bias in media based violent event data and its relation to the role of communication technology in fostering collective action. We expand the work of Weidmann (2016) presenting several sensitivity analyses to determine the degree to which reporting bias may confound the relationship between communication technology and violence in a recent study that relies on event data for Africa. We find no strong evidence that suggests results on the positive relationship between communication technology and collective action in the study by Pierskalla and Hollenbach (2013) are wholly an artifact of reporting bias.
A Survey of Adversarial Learning on Graph
Year: 2020

Deep learning models on graphs have achieved remarkable performance in various graph analysis tasks, e.g. node classication, link prediction and graph clustering. However, they expose uncertainty and unreliability against the well designed inputs, i.e. adversarial examples. Accordingly, a line of studies have emerged for both aack and defense addressed in dierent graph analysis tasks, leading to the arms race in graph adversarial learning. Despite the booming works, there still lacks a unied problem denition and a comprehensive review. To bridge this gap, we investigate and summarize the existing works on graph adversarial learning tasks systemically. Specically, we survey and unify the existing works w.r.t. aack and defense in graph analysis tasks, and give appropriate denitions and taxonomies at the same time. Besides, we emphasize the importance of related evaluation metrics, investigate and summarize them comprehensively. Hopefully, our works can provide a comprehensive overview and oer insights for the relevant researchers. More details of our works are available at hps:/github.com/gitgiter/Graph Adversarial Learning.
The Effect of Drought on Phytochemical active Compounds Content in Chamomile and Yarrow
Year: 2017

German chamomile and yarrow are two main medicinal plants belonging to the Asteracea family  Both plants contain some active substances which are known as natural products, bioactive compounds or secondary metabolites which are affected by environmental conditions such as drought [2] Drought stress or availability of water is considered to be an important abiotic factor that influences plant growth, development and biochemical processes such as the production of secondary metabolites and aromatic compounds [3 6] In the controlling and management of agriculture production, drought stress is one of the most important environmental factors that determines plant growth worldwide. Medicinal plant phytochemical compounds content including total phenols, flavonoids and essential oil constituents such as limonene, terpinolene, myrcene, quercetin and sabinene are mainly influenced by drought stress [4,7,8] In general, drought stress among cultivars caused a clear decrease in fresh weight, stem length, carotenoid and chlorophyll photosynthetic pigments, total soluble sugars, total flavonoids and total phenolic compounds [9] Moreover, stress factors can damage plant mechanisms for example, an abnormal plant metabolism may occur and cause reduced growth and development and subsequently influence crop yield, or can lead to complete plant/crop death [10] It has been reported that drought stress affects plant growth and the production of secondary products when grown under greenhouse conditions, for example plant vegetative growth has been reduced under stress
INTEGRATING DAN OBLIGING SEBAGAI GAYA MANAJEMEN KONFLIK DALAM MENGURANGI STRES KERJA PERAWAT PELAKSANA
Year: 2020

Abstrak Organisasi profesi yang berperan besar dalam pelaksanaan asuhan keperawatan di rumah sakit adalah keperawatan yang juga berpotensi mengalami konflik. Konflik mengakibatkan kerugian diantaranya stres kerja pada perawat pelaksana. Manajemen konflik merupakan prioritas utama kepala ruangan untuk mengatasi hal tersebut. Untuk mengidentifikasi pengaruh gaya manajemen konflik integrating dan obliging dalam mengurangi stres kerja perawat pelaksana. Penelitian ini adalah kuantitatif dengan desain penelitian cross sectional Populasi penelitian adalah perawat pelaksana di RS Imelda Pekerja Indonesia dan RS Martha Friska dimana teknik pengambilan sampel adalah simple random sampling. Jumlah responden sebanyak 105 orang perawat pelaksana. Instrumen yang digunakan berupa kuesioner yang dianalisis secara bivariat dengan menggunakan program komputer. Hasil penelitian: 1) terdapat pengaruh gaya manajemen konflik integrating terhadap stres kerja perawat pelaksana (p <0,001;PR=1,28 95%CI 1,174 1,402) dan 2) terdapat pengaruh gaya manajemen konflik obliging terhadap stress kerja perawat pelaksana ( Gaya manajemen konflik integrating dan obliging kepala ruangan berpengaruh dalam mengurangi stres kerja perawat pelaksana.  Integrating, Obliging, Stres Kerja Perawat  Professional organizations that play a major role in the implementation of nursing care in hospitals are nursing that also has the potential to experience conflict. Conflicts result in losses including work stress on implementing nurses. Conflict management is the chief priority of the nurse manager to overcome this. To identify the influence of integrating and obliging conflict management styles in reducing the work stress of implementing nurses. This research is quantitative with cross sectional research design. The study population was implementing nurses at the Indonesian Hospital Imelda Worker and Martha Friska Hospital where the sampling technique was simple random sampling. The number of respondents was 105 implementing nurses. The instrument used was a questionnaire that was analyzed bivariately using a computer program.The results of the study were 1) there was an influence of integrating conflict management style on the work stress of implementing nurses (p=<0.001; PR=1.28 95% CI 1.174 1,402) and 2) there was an influence of obliging conflict management style on nurses work stress executor (p=<0.001; PR=1.20 95% CI 1.124 1.295) Integrating conflict management style and obliging head of the room influence in reducing the work stress of implementing nurses.  Integrating, Obliging, Nurse Stress
Expanded Framework for Dual System Encryption and Its Application
Venue: ICISC
Year: 2016

Recently, Attrapadung Eurocrypt 2014 proposed a generic framework that abstracts the concept of dual system encryption techniques. We expand their framework by proposing an extended perfect security for pair encoding scheme, which implies a new approach to employ dual system encryption methodology to obtain full security of attribute based encryption ABE system via a generic construction. Using this expanded framework, we obtain a fully secure ciphertext policy ABE CP ABE construction in composite order groups with short public parameters. Compared with previous works that either have public parameter size scaling linear with the number of attributes or require parameterized assumptions, our CP ABE system achieves the advantages of an exponential improvement in terms of public parameter size and static assumptions relied on simultaneously.
Original and Revised Auditor Fee Data
Year: 2011

A significant number of companies report revised auditor fees (audit, nonaudit services, and total) in subsequent Securities and Exchange Commission (SEC) filings. We find that, on average, revised audit fees and total fees are significantly higher, and nonaudit services (NAS) fees are significantly lower than the originally reported fees. The occurrence of fee revisions decreases significantly after 2006 and does not appear to be concentrated in specific industries. In addition, we find that larger clients are more likely to report fee revisions, while clients of Big 4 auditors and clients that file late are less likely to report fee revisions. We also examine the magnitude of upward and downward fee revisions. The fee revisions likely result from the changes in the SEC's fee disclosure reporting requirements from 2001 to 2003, as well as ambiguity related to the new requirements. In addition, they also may stem from estimated billing by accounting firms prior to filing with the SEC, followed by.
CALIDAD DE VIDA EN PERSONAS MAYORES DE 60 ANOS CON DIAGNOSTICO DE ENFERMEDAD DE ALZHEIMER, DEL POLICLINICO "PUENTES GRANDES" CUBA QUALITY OF LIFE IN PEOPLE OVER 60 WITH A DIAGNOSIS OF ALZHEIMER DISEASE, FROM THE "PUENTES GRANDES" POLYCLINIC, CUBA
Year: 2018

RESUMEN Se realizo un estudio descriptivo de corte trasversal con el objetivo de determinar como evaluan su calidad de vida de las personas mayores de 60 anos con diagnostico de demencia por Enfermedad de Alzheimer. Participaron 35 personas. Se estudiaron caracteristicas sociodemograficas, relacionadas con la propia enfermedad y grado de dependencia. Para evaluar calidad de vida se utilizo el instrumento Calidad de vida en la Enfermedad de Alzheimer (ADRQL) y para el grado de dependencia el Indice de Barthel. Predomino el sexo femenino (60% las edades entre los 70 y 79 anos (37.1% para una edad media de 78,1 anos con desviacion estandar de 11,2, las personas viudas (42,9% y divorciadas (31,4% con nivel de escolarizacion primario (40% la enfermedad demencial leve (60% y la dependencia grave (37,1% y leve (31,4% La mayoria de las personas estudiadas evaluo su calidad de vida global como satisfactoria (65,7% Los mejores resultados se obtuvieron en el area identidad personal y de personas importantes (74,3% El area comportamiento en el lugar de residencia recibio mas valoraciones negativas (57,1%
Engaging the Muslim World
Year: 2012

The future of American public diplomacy is an important and increasingly popular topic of inquiry as anti Americanism dominates parts of the Arab and larger Muslim world. Debate between American think tanks pursuing private foreign policy agendas and contemporary public diplomacy practitioners in search of a new way forward offers an appropriate starting point to assess a new set of challenges confronting Washington's most vital communication apparatus. While American public diplomacy experienced relative success during the Cold War era, a turning point, months prior to and after 9/11, illustrated that an outmoded one way transmission model of communication coupled with contemporary nation branding approaches was no match when selling America to a value defined, religion based, and socially constructed Arab world. During this period, a paradox emerged with America's post 9/11 communication efforts, which moved counter to the foundational goals of public diplomacy. This chapter argues that rather than establishing trust or applying long term two way communication opportunities with global Islamic communities, America's post 9/11 public diplomacy response centered on short term one sided messaging leading to a wider trust deficit with the Muslim world. Therefore, three principal components contributed to the paradox and failure of post 9111 public diplomacy: (i) the promotion of adverse foreign policies to target key audiences in the Arab world against the backdrop of a chaotic history of US Mid East foreign relations, (ii) relying on short term messaging that overlapped public diplomacy with nation branding, and (iii) discounting the role of both religion and culture when analyzing the social terrain of target audiences in the Muslim world.
The Dialectic between Global Gender Goals and Local Empowerment: Girls' Education in Southern Sudan and South Africa
Year: 2011

The start of the Education for All (EFA) movement ushered in a new era in education, an era linked to research on issues such as 'global governance' or the 'world institutionalization of education' This global governance not only affects the way in which educational systems are influenced, it also involves how we view and define various issues within education. One of the major goals of the EFA movement, which has been accepted as part of the global consensus of 'what works' is the focus on gender equality, and in particular on the role education can play in empowering women and girls. This article is an attempt to understand key issues related to gender and education, and in particular the objective is to provide a critical analysis of how the global consensus in relation to gender and empowerment can be understood in a local context. The data reported on here are from fieldwork conducted in Southern Sudan and South Africa, and in this article we attempt to shed light on the local realities in relation to global gender goals.
A Review on Cyber Security Mechanisms Using Machine and Deep Learning Algorithms
Year: 2020

Digitalization is the buzz word today by which every walk of our life has been computerized, and it has made our life more sophisticated. On one side, we are enjoying the privilege of digitalization. On the other side, security of our information in the internet is the most concerning element. A variety of security mechanisms, namely cryptography, algorithms which provide access to protected information, and authentication including biometric and steganography, provide security to our information in the Internet. In spite of the above mechanisms, recently artificial intelligence (AI) also contributes towards strengthening information security by providing machine learning and deep learning based security mechanisms. The artificial intelligence (AI) contribution to cyber security is important as it serves as a provoked reaction and a response to hackers' malicious actions. The purpose of this chapter is to survey recent papers which are contributing to information security by using machine learning and deep learning techniques.
ANALISIS PENILAIAN TINGKAT KESEHATAN BANK DENGAN MENGGUNAKAN PENDEKATAN RGEC (RISK PROFILE, GOOD COORPORATE GOVERNANCE, EARNING, AND CAPITAL) TERHADAP HARGA SAHAM PADA BANK BUMN DI INDONESIA
Year: 2019

Penelitian ini bertujuan untuk mengetahui pengaruh variabel tingkat kesehatan bank yang diukur dengan risk profile, Good Corporate Governance (GCG) Return On Assets (ROA) dan Capital Adequacy Ratio (CAR) terhadap harga saham pada perbank BUMN di Bursa Efek Indonesia periode 2008 2017. Penelitian ini menggunakan jenis penelitian deskriptif pendekatan kuantitatif. Populasi penelitian ini adalah seluruh perbankan BUMN yang terdaftar di BEI periode 2008 2017. Dengan menggunakan purposive sampling diperoleh sampel sebanyak 4 BUMN bank. Sampel yang digunakan perbankan BUMN yaitu BNI, BRI, BTN, dan Bank Mandiri. Teknik analisis yang digunakan dalam penelitian ini adalah analisis statistik deskriptif, uji asumsi klasik (uji normalitas, multikolinearitas, heteroskedastisitas dan autokorelasi) dan analisis regresi linear berganda (uji statistik f dan uji statistik t serta koefisien determinasi) Hasil pengujian hipotesis menunjukkan bahwa profil risiko berpengaruh negatif dan signifikan 0,5% terhadap harga saham perbankan. ROA berpengaruh positif dan signifikan 3,6% terhadap harga saham perbankan. GCG tidak berpengaruh positif dan signifikan 11,6% terhadap harga saham perbankan. CAR tidak berpengaruh positif dan signifikan 10,9% terhadap harga saham perbankan. Kata Kunci profil risiko, GCG, ROA, CAR dan harga saham.
Adversarial network embedding using structural similarity
Venue: Frontiers Comput. Sci.
Year: 2021

Network embedding which aims to embed a given network into a low dimensional vector space has been proved effective in various network analysis and mining tasks such as node classification, link prediction and network visualization. The emerging network embedding methods have shifted of emphasis in utilizing mature deep learning models. The neural network based network embedding has become a mainstream solution because of its high efficiency and capability of preserving the nonlinear characteristics of the network. In this paper, we propose Adversarial Network Embedding using Structural Similarity (ANESS) a novel, versatile, low complexity GAN based network embedding model which utilizes the inherent vertex to vertex structural similarity attribute of the network. ANESS learns robustness and effective vertex embeddings via a adversarial training procedure. Specifically, our method aims to exploit the strengths of generative adversarial networks in generating high quality samples and utilize the structural similarity identity of vertexes to learn the latent representations of a network. Meanwhile, ANESS can dynamically update the strategy of generating samples during each training iteration. The extensive experiments have been conducted on the several benchmark network datasets, and empirical results demonstrate that ANESS significantly outperforms other state of the art network embedding methods.