nils-herrmann/clean_scirepeval huggingface dataset:
A novel hybrid BPSO SCA approach for feature selection
Venue: Natural Computing
Year: 2019

Nature is a great source of inspiration for solving complex problems in real world. In this paper, a hybrid nature inspired algorithm is proposed for feature selection problem. Traditionally, the real world datasets contain all kinds of features informative as well as non informative. These features not only increase computational complexity of the underlying algorithm but also deteriorate its performance. Hence, there an urgent need of feature selection method that select an informative subset of features from high dimensional without compromising the performance of the underlying algorithm. In this paper, we select an informative subset of features and perform cluster analysis by employing a cross breed approach of binary particle swarm optimization (BPSO) and sine cosine algorithm (SCA) named as hybrid binary particle swarm optimization and sine cosine algorithm (HBPSOSCA) Here, we employ a V shaped transfer function to compute the likelihood of changing position for all particles. First, the effectiveness of the proposed method is tested on ten benchmark test functions. Second, the HBPSOSCA is used for data clustering problem on seven real life datasets taken from the UCI machine learning store and gene expression model selector. The performance of proposed method is tested in comparison to original BPSO, modified BPSO with chaotic inertia weight (C BPSO) binary moth flame optimization algorithm, binary dragonfly algorithm, binary whale optimization algorithm, SCA, and binary artificial bee colony algorithm. The conducted analysis demonstrates that the proposed method HBPSOSCA attain better performance in comparison to the competitive methods in most of the cases.
Assisting Business Process Design by Activity Neighborhood Context Matching
Venue: ICSOC
Year: 2012

Speeding up the business process design phase is a crucial challenge in recent years. Some solutions, such as defining and using reference process models or searching similar processes to a working one, can facilitate the designer's work. However, recommending the whole process can make the designer confused, especially in case of large size business processes. In this paper, we introduce the concept of activity neighborhood context in order to propose an approach that fasten the design phase regardless the size of business process. Concretely, we recommend the designer the activities that are close to the designing process from existing business processes. We evaluate our approach on a large collection of public business processes. Experimental results show that our approach is feasible and efficient.
Los diez mandamientos
Year: 2020

El sentimiento de omnipotencia infantil se resiste a desaparecer en el adulto y aprovecha cualquier via que se le ofrezca para permanecer vigente. Y la religion se ofrece como espacio mas idoneo para ello. En ella, la imagen de Dios se presta a todo tipo de manipulaciones para hacer viable esos sentimiento infantiles de omnipotencia; Dios manipulado mediante oraciones y rituales, encorsetado en esquemas de pensamiento, aliado de los poderes institucionales politicos o religiosos, utilizado como emblema del propio prestigio. Es el uso "en vano" del nombre de Dios. Tan solo el Dios de Jesus que muestra su poder en la "debilidad" del amor podria deshacer tal manipulacion.
What Your Future Doctor Should Know About Statistics: Must Include Topics for Introductory Undergraduate Biostatistics
Year: 2015

The increased emphasis on evidence based medicine creates a greater need for educating future physicians in the general domain of quantitative reasoning, probability, and statistics. Reflecting this trend, more medical schools now require applicants to have taken an undergraduate course in introductory statistics. Given the breadth of statistical applications, we should cover in that course certain essential topics that may not be covered in the more general introductory statistics course. In selecting and presenting such topics, we should bear in mind that doctors also need to communicate probabilistic concepts of risks and benefits to patients who are increasingly expected to be active participants in their own health care choices despite having no training in medicine or statistics. It is also important that interesting and relevant examples accompany the presentation, because the examples (rather than the details) are what students tend to retain years later. Here, we present a list of topics we cover in the introductory biostatistics course that may not be covered in the general introductory course. We also provide some of our favorite examples for discussing these topics.
Interactive Robot Programing Using Mixed Reality
Venue: SyRoCo
Year: 2018

The number of robots in industry is increasing every year, they are used to automate various processes. It is necessary to create a system for intuitive and effective interaction between robot and human. This paper represents a system for interactive programming of industrial robots based on Mixed Reality (MR) Microsoft HoloLens glasses were used for immersion in MR. By the developed system, a user without programming skills can assign a task to the manipulator. The main system parts are intuitive geometric path planning, time optimal trajectory planning, and simulator based on MR. Via MR users are able to interact with robots and the spatial environment through the highly intuitive interface. The system comprises two KUKA robot with different kinematic models, with and without redundancy. The works show features and advantages of the MR based system comparing to Augmented and Virtual Reality. Experiments on three different path cases show the system performance.
Review on microwave nondestructive testing techniques and its applications in concrete technology
Venue: Construction and Building Materials
Year: 2019

Every year, a massive amount of literature is published on many aspects of microwave applications. Over the past few years, the need for progressive methods for assessing different properties of concrete, as well as for maintenance and monitoring of structures, has led to the development of microwave non destructive testing (MNDT) techniques for preserving the civil infrastructure. MNDT has many advantages, including good penetrability in nonmetallic materials, instantaneous measurements, monochromatic radiation, low power requirements, substantial energy savings, and easy to interpret data. Additionally, with the potential to overcome the limits of both conventional testing and non destructive testing (NDT) MNDT has received much interest. In this paper, a comprehensive review of the most common MNDT techniques for material assessment is conducted based on a detailed literature survey. Furthermore, the basics of MNDT techniques are explored to contribute to its use in the concrete industry. The conventional tests and NDTs on concrete, including the applications of different MNDT methods, are discussed. The outcomes of this review can assist in using the MNDT methods in concrete structures, structural health monitoring, and enhancement of microwave based techniques. Finally, this work provides a summary of MNDT techniques used in concrete applications, which can lead to advancements in this field.
Fire suppression by low volatile chemically active fire suppressants using aerosol technology
Year: 2012

Minimum extinguishing concentrations of mixtures of organophosphorus and iodine containing compounds and inert diluents were measured using the cup burner and cylinder techniques. The results of these measurements were used to develop and test new effective fire suppression compositions whose components exhibit a synergetic effect and to estimate the lower temperature limit of their application. The results of laboratory experiments were verified by full scale tests in which two types of model fire sources were extinguished by salt solution aerosols. The tests demonstrated that short term action of an aerosol cloud of an aqueous solution of potassium ferrocyanide K3[Fe(CN)6] on the flame front of a surface forest fire led to suppression of gas phase combustion, and in the case of wood burning, to complete flame extinction. The minimum extinguishing mass concentration of K3[Fe(CN)6] in these experiments was 4.5 g/m3, which is close to that measured in laboratory experiments. In fire suppression by the aerosol, the volumetric flow rate of this fire suppressant was found to be 30 times lower than the standard flow rate of pure water from a fire hose.
Working memory capacity and recall from long term memory: Examining the influences of encoding strategies, study time allocation, search efficiency, and monitoring abilities.
Venue: Journal of experimental psychology. Learning, memory, and cognition
Year: 2016

The relation between working memory capacity (WMC) and recall from long term memory (LTM) was examined in the current study. Participants performed multiple measures of delayed free recall varying in presentation duration and self reported their strategy usage after each task. Participants also performed multiple measures of WMC. The results suggested that WMC and LTM recall were related, and part of this relation was due to effective strategy use. However, adaptive changes in strategy use and study time allocation were not related to WMC. Examining multiple variables with structural equation modeling suggested that the relation between WMC and LTM recall was due to variation in effective strategy use, search efficiency, and monitoring abilities. Furthermore, all variables were shown to account for individual differences in LTM recall. These results suggest that the relation between WMC and recall from LTM is due to multiple strategic factors operating at both encoding and retrieval.
Relationship between quality of work life and work motivation among operating room nurses in Mansoura University Hospitals
Year: 2015

Quality of work lifeis the condition and characteristics of work that contribute to motivation, performance, and job satisfaction.  The aim of this study was to identify the relationship between quality of work life and work motivation among operating room nurses in Mansoura University Hospitals.   A descriptive correlational design was utilized.  Study was conducted in main Mansoura University Hospital at operating rooms.  All available nurses working in the previous mentioned setting were constituted as the study sample n=46. Tools of data collection: Data for the present study was collected through: Quality of work life questionnaire and the work extrinsic and intrinsic motivation scale  The result revealed that a positive correlation was found between quality of work life among operating room nurses with their degree of work motivation.  The findings of the study indicated that Job characteristics such as Autonomy in decision making, team work and psychological environment were most important for their Quality of worklife. Majority of Nurses working in operating room had highest motivation with regard to integrated regulation. Quality of work life and degree of motivation were significant with their age group. Their salaries, incentives and recognitions influence their quality of work life.  From the finding, it can be recommended that quality of work life is such a critical concept that might be improved to motivate nurses. However, the hospitals can focus on their employee's welfare by providing them a better and attractive compensation policy, optimum work load and a superior work environment.
Observer based fuzzy adaptive stabilization of uncertain switched stochastic nonlinear systems with input quantization
Venue: J. Frankl. Inst.
Year: 2019

This paper proposes an observer based fuzzy adaptive output feedback control scheme for a class of uncertain single input and single output (SISO) nonlinear stochastic systems with quantized input signals and arbitrary switchings. The SISO system under consideration contains completely unknown nonlinear functions, unmeasured system states and quantized input signals quantized by a hysteretic quantizer. By adopting a new nonlinear disposal of the quantized input, the relationship between the control input and the quantized input is established. The hysteretic quantizer that we take can effectively avoid the chattering phenomena. Furthermore, the introduction of a linear observer makes the estimation of the states possible. Based on the universal approximation ability of the fuzzy logic systems (FLSs) and backstepping recursive design with the common stochastic Lyapunov function approach, a quantized output feedback control scheme is constructed, where the dynamic surface control (DSC) is explored to alleviate the computation burden. The proposed control scheme cannot only guarantee the boundedness of signals but also make the output of the system converge to a small neighborhood of the origin. The simulation results are exhibited to demonstrate the validity of the control scheme.
Multi view image synthesis techniques for 3D vision and free viewpoint applications
Year: 2012

The depth information in a scene for a stereo image is used in many image analysis and 3D video processing applications. Novel view synthesis draws a significant research interest because it can drive future 3DTV and free viewpoint video applications, which allows a viewer to perceive 3D depth scenery without wearing any special glasses. The main objective of the multi view video system is to create another dimension to the viewer and provide 3D information such as depth. This thesis describes new approaches and methods for stereo matching and inter view synthesis algorithms with application for 3D and free viewpoint. A Depth Image Layers Separation (DILS) algorithm is proposed to efficiently synthesize the inter view image based on layered disparity depth map representation through stereo matching and inter view interpolation. The main idea of this approach is to separate the depth map into several layers of depth based on the disparity distance of the corresponding points. This technique is used to synthesize novel inter view images based on disparity depth map layers representation. Simulation results show that the concept of depth layers separation is able to create inter view images and can be integrated with other technique such as the disparity depth refinement and occlusion handlings processes. The DILS algorithm can be performed from a simple to sophisticated stereo matching techniques to synthesize the inter view images. This technique leads to the second novelty method, Depth Layer Refinement (DLR) that uses the disparity depth layers to refine the disparity map. The main aim of this algorithm is to improve the raw disparity maps in the disparity refinement stage with a basic similarity metric of SAD in the stereo matching algorithm. The edge boundaries and discontinuities region are significantly improved with the proposed techniques compared to the state of the art stereo matching algorithms. The third novelty proposed in the multi view camera applications known as Multi Level View Synthesis (MLVS) In this technique, the multi view synthesis created based on a limited number of cameras to create dense images. The new structures and design are shown to offer improved performance and provide additional views with fewer cameras arrangement compared to the conventional high volume camera configurations for free viewpoint video acquisition.
National Fallen Firefighters Foundation Awards Certificate To the City of Manassas Fire and Rescue Department The National Fallen Firefighters Foundation announced that the City of Manassas Fire and Rescue Department is compliant with the International First Responder Seatbelt Pledge.
Year: 2012

The City of Manassas is an indepen dent, full serv ice city of 10 sq uare miles in No rthe rn Virgin ia. The City is rich in h istory and the Ma nassas Junctio n of railroad s p layed a pivo tal role in the American Civ il War. The City has a po pulation of 37,821 own s its own p ublic u tilities, has the busiest genera l aviatio n airport in Virg inia and is part of the Wash ingto n, D.C. metropolitan region. The Fire and Rescue Department's sixty me mbers p rovide staff ing for 24 hou r e mergency incident re sponse, f ire preven tion, e mergency manage ment, and ad min istration. For more info rmation, visit ou r web site at www. manassa scity.org/f ire.
Application of cerium phosphate in preparing anti ultraviolet PET fibers with masterbatch method
Venue: Journal of Polymer Research
Year: 2020

In this work, a novel cerium based anti ultraviolet fiber (CAUF) was prepared by masterbatch method for the first time. A pigment material, nano cerium phosphate (nano CePO4) was modified by aluminate coupling agent and then applied as the cerium based anti ultraviolet agent (CAUA) in the preparation of masterbatch. The characteristics of anti ultraviolet agent, masterbatch and fibers were investigated by Fourier transform infrared spectroscopy, electron microscopy, differential scanning calorimeter, X ray diffractometer, contact angle meter and ultraviolet spectrophotometer. The results indicated that masterbatch with the CAUA content of 10 wt. could achieve the excellent dispersion of nanoparticles in PET matrix and improve the compatibility between nanoparticles and PET matrix, which was chosen for spinning. As the content of masterbatch (CAUA) in fibers reached to 15 wt. (1.5 wt. not only the good physical mechanical properties of fibers were achieved, but also the ultraviolet transmittance of fibers in UVA and UVB bands decreased to 2.27% and 0.57% which presented the better anti ultraviolet property than nano titanium dioxide. Therefore, surface modified nano CePO4 is a promising inorganic anti ultraviolet agent with great chemical inertia, low photocatalytic activity and high absorption in the UV region, which could endow fibers with excellent protection properties in both UVA and UVB bands.
On being the right shape: Roles for motile cilia and cerebrospinal fluid flow in body and spine morphology.
Venue: Seminars in cell developmental biology
Year: 2020

How developing and growing organisms attain their proper shape is a central problem of developmental biology. In this review, we investigate this question with respect to how the body axis and spine form in their characteristic linear head to tail fashion in vertebrates. Recent work in the zebrafish has implicated motile cilia and cerebrospinal fluid flow in axial morphogenesis and spinal straightness. We begin by introducing motile cilia, the fluid flows they generate and their roles in zebrafish development and growth. We then describe how cilia control body and spine shape through sensory cells in the spinal canal, a thread like extracellular structure called the Reissner fiber, and expression of neuropeptide signals. Last, we discuss zebrafish mutants in which spinal straightness breaks down and three dimensional curves form. These curves resemble the common but little understood human disease Idiopathic Scoliosis. Zebrafish research is therefore poised to make progress in our understanding of this condition and, more generally, how body and spine shape is acquired and maintained through development and growth.
Entrepreneurial orientation in family firms: the case of the hospitality industry
Year: 2018

Research increasingly shows interest in the motives and characteristics of entrepreneurs in the tourism and hospitality industry. Small and medium sized family firms dominate this industry. Learning from the concept of entrepreneurial orientation and family business research, this explorative study aims at analysing entrepreneurial behaviours and their effect on performance as perceived by owner managers of hospitality family businesses. The authors conduct narrative in depth interviews to understand the managers' meaning of entrepreneurship and performance, and discuss the results in the light of existing entrepreneurship literature. Results indicate that family firms in hospitality and tourism are peculiar, and their embeddedness in the destinations and regions outlines their entrepreneurial behaviour against Schumpeter's definition of growth oriented entrepreneurship.
Experimental Analysis and Investigation of Machining Parameters in Finish Hard Turning of AISI 4340 Steel
Year: 2018

Hard turning is alternative machining process to the cylindrical grinding. It produced surface finish as good as cylindrical grinding with higher material removal rates by keeping small feed and depth of cut. It avails machining process in machining cost, high quality, less down machining time, lower investment, and smaller tooling inventory while get rid of non value added activities. The optimum selection input parameters results into reduced tool wear and surface roughness and wearing of tool. The present work evaluates effect of input Parameters such as nose radius, cutting speed, feed and depth of cut and output parameter surface roughness on hardened AISI 4340 steel material. Taguchi's technique is used as experimentation method and multiple regression method is used in order to optimize machining parameter for minimum surface roughness. The results showed that nose radius is more influencing parameter than feed, cutting speed, depth on surface roughness in finish hard turning. A total 9 experimental runs were conducted using an orthogonal array In order to verify result multiple regression analysis has modelled. Optimize cutting parameters which give high surface finish is obtained. Thus, it is possible utilization of machine and decrease production cost in an automated manufacturing environment.
Early Stage Malware Prediction Using Recurrent Neural Networks
Venue: Comput. Secur.
Year: 2018

Static malware analysis is well suited to endpoint anti virus systems as it can be conducted quickly by examining the features of an executable piece of code and matching it to previously observed malicious code. However, static code analysis can be vulnerable to code obfuscation techniques. Behavioural data collected during file execution is more difficult to obfuscate, but takes a relatively long time to capture typically up to 5 minutes, meaning the malicious payload has likely already been delivered by the time it is detected. In this paper we investigate the possibility of predicting whether or not an executable is malicious based on a short snapshot of behavioural data. We find that an ensemble of recurrent neural networks are able to predict whether an executable is malicious or benign within the first 5 seconds of execution with 94% accuracy. This is the first time general types of malicious file have been predicted to be malicious during execution rather than using a complete activity log file post execution, and enables cyber security endpoint protection to be advanced to use behavioural data for blocking malicious payloads rather than detecting them post execution and having to repair the damage.
The epicardium signals the way towards heart regeneration
Venue: Stem cell research
Year: 2014

From historical studies of developing chick hearts to recent advances in regenerative injury models, the epicardium has arisen as a key player in heart genesis and repair. The epicardium provides paracrine signals to nurture growth of the developing heart from mid gestation, and epicardium derived cells act as progenitors of numerous cardiac cell types. Interference with either process is terminal for heart development and embryogenesis. In adulthood, the dormant epicardium reinstates an embryonic gene programme in response to injury. Furthermore, injury induced epicardial signalling is essential for heart regeneration in zebrafish. Given these critical roles in development, injury response and heart regeneration, the application of epicardial signals following adult heart injury could offer therapeutic strategies for the treatment of ischaemic heart disease and heart failure.