nils-herrmann/clean_scirepeval huggingface dataset:
Teaching software engineering for AI enabled systems
Venue: ICSE
Year: 2020

Software engineers have significant expertise to offer when building intelligent systems, drawing on decades of experience and methods for building systems that are scalable, responsive and robust, even when built on unreliable components. Systems with artificial intelligence or machine learning (ML) components raise new challenges and require careful engineering. We designed a new course to teach software engineering skills to students with a background in ML. We specifically go beyond traditional ML courses that teach modeling techniques under artificial conditions and focus, in lecture and assignments, on realism with large and changing datasets, robust and evolvable infrastructure, and purposeful requirements engineering that considers ethics and fairness as well. We describe the course and our infrastructure and share experience and all material from teaching the course for the first time.
Modeling of Virus Propagation in the Mobile Peer to Peer Networks
Year: 2012

The mathematical model of virus propagation in the mobile peer to peer(MP2P) networks is proposed by applying Epidemiology.Based on the proposed model and using the special digital analysis software Matlab,large scale experiments are done so as to examine the effect of the MP2P related parameters on virus propagation.The results of these experiments illustrate that different parameters have different effects on virus propagation,among which the average downloading rate and the average recovery rate of fixed peers have the strongest effects on virus propagation.
Green synthesis of silver nanoparticles using methanolic fruit extract of Aegle marmelos and their antimicrobial potential against human bacterial pathogens
Venue: Journal of traditional and complementary medicine
Year: 2020

Plant based synthesis of nanoparticles has generated worldwide interest because of cost effectiveness, eco friendly nature and plethora of applications. In the present investigation, antimicrobial potential of silver nanoparticles (AgNPs) of methanolic extract of Aegle marmelos fruit has been investigated. Agar well diffusion method was used for determining antimicrobial activity of solvent extracts (viz. petroleum ether, chloroform, acetone, methanol and aqueous) and AgNPs. Among these, methanolic extract of A. marmelos showed highest inhibitory activity against B. cereus (16.17 0.50 mm) followed by P. aeruginosa (13.33 0.62 mm) and E. coli. Phytochemical analysis of methanolic extract of A. marmelos revealed the presence of tannins, saponins, steroids, alkaloids, flavonoids, and glycosides. AgNPs synthesized using A. marmelos methanolic extract, characterized by UV Visible spectroscopy, atomic force microscopy, dynamic light scattering, and X ray diffraction showed a peak at 436 nm and size ranged between 159 and 181 nm. Evaluation of the antimicrobial potential of green synthesized AgNPs recorded the highest inhibitory activity against B. cereus (19.25 0.19 mm) followed by P. aeruginosa (16.50 0.30 mm) and S. dysentriae. The minimum inhibitory concentration (MIC) of synthesized AgNPs was found to be in the range of 0.009875 0.0395 mg/100 ml which was quite lower than the MIC of crude extract i.e. 0.0781 0.3125 mg/100 ml. The results obtained indicated that the different crude extracts of A. marmelos plant as well as AgNPs have a strong and effective antimicrobial potential that provide a marvelous source for the development of new drug molecules of herbal origin which may be used for the welfare of humanity.
Elicitation of neurological knowledge with argument based machine learning
Venue: Artif. Intell. Medicine
Year: 2013

The paper describes the use of expert's knowledge in practice and the efficiency of a recently developed technique called argument based machine learning (ABML) in the knowledge elicitation process. We are developing a neurological decision support system to help the neurologists differentiate between three types of tremors: Parkinsonian, essential, and mixed tremor (comorbidity) The system is intended to act as a second opinion for the neurologists, and most importantly to help them reduce the number of patients in the "gray area" that require a very costly further examination (DaTSCAN) We strive to elicit comprehensible and medically meaningful knowledge in such a way that it does not come at the cost of diagnostic accuracy.  To alleviate the difficult problem of knowledge elicitation from data and domain experts, we used ABML. ABML guides the expert to explain critical special cases which cannot be handled automatically by machine learning. This very efficiently reduces the expert's workload, and combines expert's knowledge with learning data. 122 patients were enrolled into the study.  The classification accuracy of the final model was 91% Equally important, the initial and the final models were also evaluated for their comprehensibility by the neurologists. All 13 rules of the final model were deemed as appropriate to be able to support its decisions with good explanations.  The paper demonstrates ABML's advantage in combining machine learning and expert knowledge. The accuracy of the system is very high with respect to the current state of the art in clinical practice, and the system's knowledge base is assessed to be very consistent from a medical point of view. This opens up the possibility to use the system also as a teaching tool.
Support vector machines for credit risk assessment with imbalanced datasets
Year: 2018

Support vector machines (SVM) have a limited performance in credit scoring issues due to the imbalanced data sets in which the number of unpaid is lower than paid loans. In this work, we developed an SVM model with more kernels on a set of imbalanced data and suggested two data resampling alternatives: random over sampling (ROS) and synthetic minority oversampling technique (SMOTE) The aim of this work is to explore the relevance of re sampling data with the SVM technique for an accurate credit risk prediction rate to the class imbalance constraint. The performance criteria chosen to evaluate the suggested technique were accuracy, sensitivity specificity, error type I, error type II, G mean and the area under the receiver operating characteristic curve (AUC) Significant empirical results obtained from an experimental study of a real imbalanced database of loans granted by a Tunisian bank demonstrated the performance improvement thanks to sampling strategies in SVM, thus leading to a better prediction accuracy of the creditworthiness of borrowers.
Improvement of Chest Wall Compliance Immediately Following Subcutaneous Placement of Central Venous Catheter for Decompression of Massive Subcutaneous Emphysema
Year: 2020

Subcutaneous emphysema (SE) and pneumomediastinum occur frequently in association with trauma, soft tissue infection, chest tube placement, esophageal rupture, cardiothoracic surgery, and positive pressure ventilation. While typically benign and self limiting, rarely and unpredictably, rapid accumulation of gas can progress to a state of physiologic compromise requiring prompt intervention; a clinical entity known as massive subcutaneous emphysema (MSE) MSE can lead to compartment syndrome, obstructive shock, skin necrosis, large airway compression, pulmonary barotrauma, and patient discomfort. We report the case of a mechanically ventilated 58 year old woman who developed decreased chest wall compliance and impaired ventilator mechanics from MSE, requiring emergent decompression. While various methods for decompression have been described in the literature, no single method has been established as most effective. Rapid placement of a central venous catheter into the subcutaneous tissue of the anterior chest wall, attached to suction produced dramatic improvement of tissue swelling, ventilatory peak and plateau pressures, and both dynamic and static compliance. We propose a novel approach for decompression that is quick, minimally invasive, readily accessible, and familiar to clinicians practicing in an intensive care unit or emergency department.
A square peg in a round hole: Theory practice gap from the lens of Filipino student nurses.
Venue: Nurse education today
Year: 2017

Previous studies suggest that theory practice gap has remained to be a formidable task and a challenge to the nursing profession. While efforts to understand the nature and dynamics of theory practice gap have been undertaken across the globe, a dearth in literature exists in the context of a developing country like the Philippines. Seemingly, no research has ventured yet to explore the theory practice gap experiences of Filipino student nurses. Hence, the major intent of this qualitative investigation is to describe and capture how theory practice gap is viewed by a select group of senior nursing students (n=10) in a comprehensive university in the Philippines. From the thickness and richness of the descriptions of the field text gathered in this study, an interesting conceptualization labeled as the Theory Practice Gap Deficit Triad which consists of (a) structural, (b) pedagogical, and (c) relational deficits was emerged. Interestingly, the said model describes a clear intersection of the various concerns and dilemmas encountered by student nurses in their clinical exposures. Findings of this paper are valuable inputs to nursing educators, practitioners, and administrators in initiating realignment efforts geared toward developing nurses whose knowledge, skills and attitudes are responsive to the ever changing professional practice landscape.
Mayer Rokitansky Kuster Hauser (MRKH) Syndrome in a Child with Idiopathic Precocious Puberty
Year: 2012

Mayer Rokitansky Kuster Hauser (MRKH) syndrome is a rare congenital disorder characterized by the congenital absence or hypoplasia of the uterus and the upper two thirds of the vagina due to mullerian duct malformation during embryogenesis. MRKH syndrome usually presents as primary amenorrhea in adolescence in females showing normal development of secondary sexual characteristics and a normal 46, XX karyotype. For this reason, MRKH syndrome usually remains undiagnosed until primary amenorrhea or difficulty in sexual intercourse occurs. In this study, a case of MRKH syndrome diagnosed in a child with idiopathic precocious puberty is reported.
Crossing Experiences in Digital Epigraphy: From Practice to Discipline
Year: 2019

Although a relevant number of projects digitizing inscriptions are under development or have been recently accomplished, Digital Epigraphy is not yet considered to be a proper discipline and there are still no regular occasions to meet and discuss. By collecting contributions on nineteen projects very diversified for geographic and chronological context, for script and language, and for typology of digital output this volume intends to point out the methodological issues which are specific to the application of information technologies to epigraphy. The first part of the volume is focused on data modelling and encoding, which are conditioned by the specific features of different scripts and languages, and deeply influence the possibility to perform searches on texts and the approach to the lexicographic study of such under resourced languages. The second part of the volume is dedicated to the initiatives aimed at fostering aggregation, dissemination and the reuse of epigraphic materials, and to discuss issues of interoperability. The common theme of the volume is the relationship between the compliance with the theoretic tools and the methodologies developed by each different tradition of studies, and, on the other side, the necessity of adopting a common framework in order to produce commensurable and shareable results. The final question is whether the computational approach is changing the way epigraphy is studied, to the extent of renovating the discipline on the basis of new, unexplored questions.
CuI nanoparticles catalyzed selective synthesis of phenols, anilines, and thiophenols from aryl halides in aqueous solution.
Venue: The Journal of organic chemistry
Year: 2011

CuI nanoparticles catalyzed selective synthesis of phenols, anilines, and thiophenols from aryl halides was developed in the absence of both ligands and organic solvents. Anilines were formed selectively with ammonia competing with hydroxylation and thiophenols were generated selectively with sulfur powder after subsequent reduction competing with hydroxylation and amination.
Mapping Histological Slice Sequences to the Allen Mouse Brain Atlas Without 3D Reconstruction
Venue: Front. Neuroinform.
Year: 2018

Histological brain slices are widely used in neuroscience to study the anatomical organization of neural circuits. Systematic and accurate comparisons of anatomical data from multiple brains, especially from different studies, can benefit tremendously from registering histological slices onto a common reference atlas. Most existing methods rely on an initial reconstruction of the volume before registering it to a reference atlas. Because these slices are prone to distortions during the sectioning process and often sectioned with non standard angles, reconstruction is challenging and often inaccurate. Here we describe a framework that maps each slice to its corresponding plane in the Allen Mouse Brain Atlas (2015) to build a plane wise mapping and then perform 2D nonrigid registration to build a pixel wise mapping. We use the L2 norm of the histogram of oriented gradients difference of two patches as the similarity metric for both steps and a Markov random field formulation that incorporates tissue coherency to compute the nonrigid registration. To fix significantly distorted regions that are misshaped or much smaller than the control grids, we train a context aggregation network to segment and warp them to their corresponding regions with thin plate spline. We have shown that our method generates results comparable to an expert neuroscientist and is significantly better than reconstruction first approaches. Code and sample dataset are available at sites.google.com/view/brain mapping.
Optimisation des fonctions de controle
Year: 2012

Les fonctions de controle dans les etablissements bancaires et financiers, les societes d'assurance et la gestion d'actifs ont subi une profonde mutation et converge au fil du temps sous l'impulsion des normes reglementaires, depuis l'emergence des premiers textes au debut des annees 1990 jusqu'aux plus recentes evolutions post crise. Cet ouvrage presente les caracteristiques de ces nouvelles fonctions qui constituent le socle des dispositifs de controle interne et de gestion des risques la fonction conformite la fonction de responsable des controles permanents le responsable LCB FT Le correspondant/declarant TRACFIN le responsable du controle des services d'investissement la filiere Risques la fonction de responsable de la securite des systemes d'information la fonction de controle periodique (audit interne ou inspection) L'auteur analyse les interdependances entre ces professions et explique comment optimiser leur organisation et leurs relations afin d'oeuvrer pour une meilleure gouvernance, un controle efficace et une plus grande maitrise des risques. Marie Agnes Nicolet est Presidente de Regulation Partners. Elle est diplomee d'HEC et a plus de 20 ans d'experience dans les domaines du controle, des risques et de la conformite, tout d'abord en tant que responsable du controle interne d'une banque, puis en qualite de dirigeante d'un cabinet de conseil specialise.
Catalytic Hydrothermal Liquefaction of Microalgae using Fe MCM 41 Catalyst in Presence of Carbon Monoxide
Year: 2019

Microalgae plays a key role as a feedstock for bio oil production and also have drawn a great attention from both research and industrial point of view  Microalgae for biofuel production have several advantages over other types of biomass, including fast growth rate, wastewater treatment, higher lipid content and ability to sequester carbon dioxide from flue gas. Moreover, drying of biomass can increases the production cost of biofuel. In this interact, hydrothermal liquefaction (HTL) has been observed as a stimulating conversion method for biofuels production from microalgae which is carried out without the need of drying the biomass [2,3] The bio oil obtained from hydrothermal liquefaction process is known as the alternative for petroleum to produce transportation fuels and extraction of valuable chemicals in the industry  Hydrothermal liquefaction is one of the main processes for bio oil production in which the reaction of biomass in water at elevated temperature (200 370 oC) and high pressure (2 20 MPa) with or without using a catalyst is done  Hydrothermal Catalytic Hydrothermal Liquefaction of Microalgae using Fe MCM 41 Catalyst in Presence of Carbon Monoxide
Incorporating Sustainable Development And Environmental Ethics Into Construction Engineering Education
Year: 2010

The importance of engineers in today's society is great and obvious. Construction engineers make decisions that often have a critical impact on the environment and society. This enhanced ability to impact others makes sensitivity to ethical and social concerns a must in the construction engineering professionals. These observations underscore the importance of ethics for education of engineering students. A first step in the right direction assumes improving the knowledge and understanding that construction engineers and related disciplines of sustainability and GREEN construction techniques and systems could lead to significant improvements in the environmental performance of the construction industry. Education for sustainability in general is a process that develops students' awareness, competence, attitudes and values, enabling them to be effectively involved in sustainable development at local, national and international levels, and helping them work towards a more equitable and sustainable future. The objective of this paper is to explore the rationale for teaching sustainability and engineering ethics within a decision making paradigm along with a critical appraisal of ways to achieve related outcomes. Additionally, it aims to assist those who are increasing their understanding of engineering education for sustainable development
Bringing java's wild native world under control
Venue: TSEC
Year: 2013

For performance and for incorporating legacy libraries, many Java applications contain native code components written in unsafe languages such as C and C+ Native code components interoperate with Java components through the Java Native Interface (JNI) As native code is not regulated by Java's security model, it poses serious security threats to the managed Java world. We introduce a security framework that extends Java's security model and brings native code under control. Leveraging software based fault isolation, the framework puts native code in a separate sandbox and allows the interaction between the native world and the Java world only through a carefully designed pathway. Two different implementations were built. In one implementation, the security framework is integrated into a Java Virtual Machine (JVM) In the second implementation, the framework is built outside of the JVM and takes advantage of JVM independent interfaces. The second implementation provides JVM portability, at the expense of some performance degradation. Evaluation of our framework demonstrates that it incurs modest runtime overhead while significantly enhancing the security of Java applications.
Wide Bandwidth and Enhanced Gain of a Low Profile Dipole Antenna Achieved by Integrated Suspended Metasurface
Venue: IEEE Transactions on Antennas and Propagation
Year: 2018

A low profile metasurface based dipole antenna is proposed, analyzed, and implemented for the wideband operation with improved gain. The metasurface is suspended by separating it from the ground plane with an air gap and positioning it right beneath a horizontally oriented dipole. The wide operating bandwidth is attributed to the simultaneous excitation of the transverse electric surface wave resonance of the suspended metasurface (SMS) and the adjacent metasurface based dipole resonance. The small propagation constant of transverse magnetic surface wave in the operating band enlarges the SMS aperture along the dipole direction for higher gain compared to a conventional low profile antenna. The proposed antenna design with an overall thickness of <inline formula> <tex math notation="LaTeX"$0.07\lambda /tex math>/inline formula> <inline formula> <tex math notation="LaTeX"\lambda /tex math>/inline formula> is the wavelength in free space at the center operating frequency) shows the realized boresight gain of 8.5 11.5 dBi over <inline formula> <tex math notation="LaTeX"\vert \text{S}_{11}\vert \le 10$ /tex math>/inline formula> dB impedance bandwidth of 33.6% (or 4.15 5.85 GHz)
Distribution of glyphosate and aminomethylphosphonic acid (AMPA) in agricultural topsoils of the European Union.
Venue: The Science of the total environment
Year: 2018

Approval for glyphosate based herbicides in the European Union (EU) is under intense debate due to concern about their effects on the environment and human health. The occurrence of glyphosate residues in European water bodies is rather well documented whereas only few, fragmented and outdated information is available for European soils. We provide the first large scale assessment of distribution (occurrence and concentrations) of glyphosate and its main metabolite aminomethylphosphonic acid (AMPA) in EU agricultural topsoils, and estimate their potential spreading by wind and water erosion. Glyphosate and/or AMPA were present in 45% of the topsoils collected, originating from eleven countries and six crop systems, with a maximum concentration of 2mgkg 1. Several glyphosate and AMPA hotspots were identified across the EU. Soil loss rates (obtained from recently derived European maps) were used to estimate the potential export of glyphosate and AMPA by wind and water erosion. The estimated exports, result of a conceptually simple model, clearly indicate that particulate transport can contribute to human and environmental exposure to herbicide residues. Residue threshold values in soils are urgently needed to define potential risks for soil health and off site effects related to export by wind and water erosion.