nils-herrmann/clean_scirepeval huggingface dataset:
Enterprise Resource Planning for Construction Business Management

Enterprise resource planning ~ERP! was originated in the manufacturing industry. It provides a general working environ for an enterprise to integrate its major business management functions with one single common database so that information can and efficient communications can be achieved between management functions. This paper first briefs the ERP technology, its o its current development in general. Based on the needs of running a construction enterprise, ERP shows its potential for the co industry. However, the unique nature of the industry prevents a direct implementation of existing ERP systems, which are developed for the manufacturing industry. This paper underlines the importance of the establishment of the basic theory for d construction enterprise resource planning systems ~CERP!. A CERP must address the nature of the general industry practice. Fundam features are identified and discussed in the paper. A three-tiered client/server architecture is proposed, with discussions on th and major components of each tier. Needed research issues are discussed, including CERP architectures, project manageme advanced planning techniques, standardization of management functions, and modeling human intelligence. Construction ma examples are incorporated into the discussions.  Construction management; Construction industry;
Grounded running in quails: simulations indicate benefits of observed fixed aperture angle between legs before touch-down.

Many birds use grounded running (running without aerial phases) in a wide range of speeds. Contrary to walking and running, numerical investigations of this gait based on the BSLIP (bipedal spring loaded inverted pendulum) template are rare. To obtain template related parameters of quails (e.g. leg stiffness) we used x-ray cinematography combined with ground reaction force measurements of quail grounded running. Interestingly, with speed the quails did not adjust the swing leg's angle of attack with respect to the ground but adapted the angle between legs (which we termed aperture angle), and fixed it about 30ms before touchdown. In simulations with the BSLIP we compared this swing leg alignment policy with the fixed angle of attack with respect to the ground typically used in the literature. We found symmetric periodic grounded running in a simply connected subset comprising one third of the investigated parameter space. The fixed aperture angle strategy revealed improved local stability and surprising tolerance with respect to large perturbations. Starting with the periodic solutions, after step-down step-up or step-up step-down perturbations of 10% leg rest length, in the vast majority of cases the bipedal SLIP could accomplish at least 50 steps to fall. The fixed angle of attack strategy was not feasible. We propose that, in small animals in particular, grounded running may be a common gait that allows highly compliant systems to exploit energy storage without the necessity of quick changes in the locomotor program when facing perturbations.
Locality Preserving Hashing

Hashing has recently attracted considerable attention for large scale similarity search. However, learning compact codes with good performance is still a challenge. In many cases, the real-world data lies on a low-dimensional manifold embedded in high-dimensional ambient space. To capture meaningful neighbors, a compact hashing representation should be able to uncover the intrinsic geometric structure of the manifold, e.g., the neighborhood relationships between subregions. Most existing hashing methods only consider this issue during mapping data points into certain projected dimensions. When getting the binary codes, they either directly quantize the projected values with a threshold, or use an orthogonal matrix to refine the initial projection matrix, which both consider projection and quantization separately, and will not well preserve the locality structure in the whole learning process. In this paper, we propose a novel hashing algorithm called Locality Preserving Hashing to effectively solve the above problems. Specifically, we learn a set of locality preserving projections with a joint optimization framework, which minimizes the average projection distance and quantization loss simultaneously. Experimental comparisons with other state-of-the-art methods on two large scale datasets demonstrate the effectiveness and efficiency of our method.
PCIV, an RFID-Based Platform for Intelligent Vehicle Monitoring

This article presents a new platform called PCIV (intelligent platform for vehicular control) for traffic monitoring, based on radio frequency Identification (RFID) and cloud computing, applied to road traffic monitoring in public transportation systems. This paper shows the design approach and the experimental validation of the platform in two real scenarios: a university campus and a small city. Experiments demonstrated RFID technology is viable to be implemented to monitor traffic in smart cities.
Overview on ESD protection design for mixed-voltage I/O interfaces with high-voltage-tolerant power-rail ESD clamp circuits in low-voltage thin-oxide CMOS technology

Electrostatic discharge (ESD) protection design for mixed-voltage I/O interfaces has been one of the key challenges of system-on-achip (SOC) implementation in nanoscale CMOS processes. The on-chip ESD protection circuit for mixed-voltage I/O interfaces should meet the gate-oxide reliability constraints and prevent the undesired leakage current paths. This paper presents an overview on the design concept and circuit implementations of ESD protection designs for mixed-voltage I/O interfaces with only low-voltage thin-oxide CMOS transistors. Especially, the ESD protection designs for mixed-voltage I/O interfaces with ESD bus and high-voltage-tolerant power-rail ESD clamp circuits are presented and discussed.
Implementation of a split-bolus single-pass CT protocol at a UK major trauma centre to reduce excess radiation dose in trauma pan-CT.

To quantify the dose reduction and ensure that the use of a split-bolus protocol provided sufficient vascular enhancement.



Between 1 January 2014 and 31 May 2014, both split bolus and traditional two-phase scans were performed on a single CT scanner (SOMATOM Definition AS+, Siemens Healthcare) using a two-pump injector (Medrad Stellant). Both protocols used Siemens' proprietary tube current and tube voltage modulation techniques (CARE dose and CARE kV). The protocols were compared retrospectively to assess the dose-length product (DLP), aortic radiodensity at the level of the coeliac axis and radiodensity of the portal vein.



There were 151 trauma CT examinations during this period. Seventy-eight used the split-bolus protocol. Seventy-one had traditional two-phase imaging. One patient was excluded as they were under the age of 18 years. The radiodensity measurements for the portal vein were significantly higher (p<0.001) in the split-bolus protocol. The mean aortic enhancement in both protocols exceeded 250 HU, although the traditional two-phase protocol gave greater arterial enhancement (p<0.001) than the split-bolus protocol. The split-bolus protocol had a significantly lower (p<0.001) DLP with 43.5% reduction in the mean DLP compared to the traditional protocol.



Split-bolus CT imaging offers significant dose reduction for this relatively young population while retaining both arterial and venous enhancement.
Diagnostic criteria and severity assessment of acute cholangitis: Tokyo Guidelines

Because acute cholangitis sometimes rapidly progresses to a severe form accompanied by organ dysfunction, caused by the systemic inflammatory response syndrome (SIRS) and/or sepsis, prompt diagnosis and severity assessment are necessary for appropriate management, including intensive care with organ support and urgent biliary drainage in addition to medical treatment. However, because there have been no standard criteria for the diagnosis and severity assessment of acute cholangitis, practical clinical guidelines have never been established. The aim of this part of the Tokyo Guidelines is to propose new criteria for the diagnosis and severity assessment of acute cholangitis based on a systematic review of the literature and the consensus of experts reached at the International Consensus Meeting held in Tokyo 2006. Acute cholangitis can be diagnosed if the clinical manifestations of Charcot's triad, i.e., fever and/or chills, abdominal pain (right upper quadrant or epigastric), and jaundice are present. When not all of the components of the triad are present, then a definite diagnosis can be made if laboratory data and imaging findings supporting the evidence of inflammation and biliary obstruction are obtained. The severity of acute cholangitis can be classified into three grades, mild (grade I), moderate (grade II), and severe (grade III), on the basis of two clinical factors, the onset of organ dysfunction and the response to the initial medical treatment. "Severe (grade III)" acute cholangitis is defined as acute cholangitis accompanied by at least one new-onset organ dysfunction. "Moderate (grade II)" acute cholangitis is defined as acute cholangitis that is unaccompanied by organ dysfunction, but that does not respond to the initial medical treatment, with the clinical manifestations and/or laboratory data not improved. "Mild (grade I)" acute cholangitis is defined as acute cholangitis that responds to the initial medical treatment, with the clinical findings improved.
An Approach for Restoring Occluded Images for Face-Recognition

The Systems that rely on Face Recognition (FR) biometric have acquired great importance ever since terrorist threats injected weakness among the implemented security systems. Rest biometrics as iris or Fingerprints recognition is not trustworthy in such situations whereas FR is considered as a better compromise. In Image processing, Occlusion refers to facade of the face image which can be due to hair, moustache, sunglasses, or wrapping of facial image by scarf or other accessories. Efforts on FR appears in controlled environment have been in the picture for past several years; however identification under uncontrolled condition like partial occlusion is typically quite a matter of concern. Based on review of literature and its analysis so far, a classification made in this paper to solve the challenges in recognition of face in the presence of partial occlusion. The methods used are INPAINTING based methods that make use of Exemplar-based Inpainting, Feature-Extraction, and Fast Weighted-Principal component analysis (FWPCA),etc. The presented approach in this paper describes the removal of Occlusion from images or restore the occluded part of image using Exemplar-based Image Inpainting technique, feature extraction and FW-PCA(Restoration) combinations.
Presentation Attack Detection for Face Recognition Using Light Field Camera

The vulnerability of face recognition systems is a growing concern that has drawn the interest from both academic and research communities. Despite the availability of a broad range of face presentation attack detection (PAD) (or countermeasure or antispoofing) schemes, there exists no superior PAD technique due to evolution of sophisticated presentation attacks (or spoof attacks). In this paper, we present a new perspective for face presentation attack detection by introducing light field camera (LFC). Since the use of a LFC can record the direction of each incoming ray in addition to the intensity, it exhibits an unique characteristic of rendering multiple depth (or focus) images in a single capture. Thus, we present a novel approach that involves exploring the variation of the focus between multiple depth (or focus) images rendered by the LFC that in turn can be used to reveal the presentation attacks. To this extent, we first collect a new face artefact database using LFC that comprises of 80 subjects. Face artefacts are generated by simulating two widely used attacks, such as photo print and electronic screen attack. Extensive experiments carried out on the light field face artefact database have revealed the outstanding performance of the proposed PAD scheme when benchmarked with various well established state-of-the-art schemes.
A pipeline inspection robot with a linkage type mechanical clutch

This paper presents a new pipeline inspection robot with a linkage type mechanical clutch, which is designed for inspection of pipelines with 100mm diameter. This robot has three powered wheel chains each of which has a mechanical clutch. The mechanical clutch is designed by using a parallel linkage mechanism. The kinematic model of the pipeline inspection robot is driven and its proto type has been developed. The performance of this robot system is verified by both simulation and experimentation.
Engineering Better Wheelchairs to Enhance Community Participation

With about 2.2 million Americans currently using wheeled mobility devices, wheelchairs are frequently provided to people with impaired mobility to provide accessibility to the community. Individuals with spinal cord injuries, arthritis, balance disorders, and other conditions or diseases are typical users of wheelchairs. However, secondary injuries and wheelchair-related accidents are risks introduced by wheelchairs. Research is underway to advance wheelchair design to prevent or accommodate secondary injuries related to propulsion and transfer biomechanics, while improving safe, functional performance and accessibility to the community. This paper summarizes research and development underway aimed at enhancing safety and optimizing wheelchair design
Pancreatic exocrine dysfunction: common in type 3c diabetes, but don't forget types 1 and 2 diabetes mellitus

It is well understood that the pancreas has two distinct roles: the endocrine and exocrine functions, that are functionally and anatomically closely related. As specialists in diabetes care, we are adept at managing pancreatic endocrine failure and its associated complications. However, there is frequent overlap and many patients with diabetes also suffer from exocrine insufficiency. Here we outline the different causes of exocrine failure, and in particular that associated with type 1 and type 2 diabetes and how this differs from diabetes that is caused by pancreatic exocrine disease: type 3c diabetes.
A study of website content in webometrics ranking of world university by using similar web tool

Nowaday, People can access information rapidly due to technology is higher than former times. Website is tool for present information of organization. The most important thing which consider is website content because of the content will explain everything which organization presented. The most of educational institution use website for presented their information to outside. However, educational institution website made people trust of them. Especially, Ranking of educational institution website will add value to the institution too. There are many ranking which ranked website of education for different purpose. Webometrics Ranking of World University is the ranking of education institution website which assessed accessibility of website content. Whereof, propose of the ranking is evaluate the accessibility of website which focus on visibility and activities. This article aims to evaluate the total number of backlinks, number of page view, duration of visit average times and bounce rate of Thailand University's website to finding relationship between number of backlinks, page view average, visit durations times, percentage of bounce rate and impact ranking of webometrics.
Einsatzmöglichkeiten von CDISC ODM in der klinischen Forschung

Das CDISC Operational Data Model (ODM) ist ein populärer Standard in klinischen Datenmanagementsystemen (CDMS). Er beschreibt sowohl die Struktur einer klinischen Prüfung inklusive der Visiten, Formulare, Datenele mente und Codelisten als auch administrative Informationen wie gültige Nutzeracco unts. Ferner enthält er alle erhobenen klinischen Fakten über die Pro banden. Sein originärer Einsatzzweck liegt in der Archivierung von Studiendatenbanken und dem Austausch klinischer Daten zwischen verschiedenen CDMS. Aufgrund de r reichhaltigen Struktur eignet er sich aber auch für weiterführende Anwendungsfälle. Im Rahmen studentischer Praktika wurden verschied ene Szenarien für funktionale Ergänzungen des freien CDMS OpenClinica unters ucht und implementiert, darunter die Generierung eines Annotated CRF, der Import vo n Studiendaten per Web-Service, das semiautomatisierte Anlegen von Studien so wie der Export von Studiendaten in einen relationalen Data Mart und in ein Forschungs-Data-Warehouse auf Basis von i2b2.
Improvements to Ullmann's Algorithm for the Subgraph Isomorphism Problem

The subgraph isomorphism problem is one of the most important problems for pattern recognition in graphs. Its applications are found in many di®erent disciplines, including chemistry, medicine, and social network analysis. Because of the NP-completeness of the problem, the existing exact algorithms exhibit an exponential worst-case running time. In this paper, we propose several improvements to the well-known Ullmann's algorithm for the problem. The improvements lower the time consumption as well as the space requirements of the algorithm. We experimentally demonstrate the e±ciency of our improvement by comparing it to another set of improvements called FocusSearch, as well as other state-of-the-art algorithms, namely VF2 and LAD.
3D sketch-based 3D model retrieval with convolutional neural network

3D sketch-based 3D model retrieval is to retrieve similar 3D models using users' hand-drawn 3D sketches as input. Compared with traditional 2D sketch-based retrieval, 3D sketch-based 3D model retrieval is a brand new and challenging research topic. In this paper, we employ advanced deep learning method and propose a novel 3D sketch based 3D model retrieval system. Our system has been comprehensively tested on two benchmark datasets and compared with other existing 3D model retrieval algorithms. The experimental results reveal our approach outperforms other competing state-of-the-arts and demonstrate promising potential of our approach on 3D sketch based applications.
Does food marketing need to make us fat? A review and solutions

Food marketing is often singled out as the leading cause of the obesity epidemic. The present review examines current food marketing practices to determine how exactly they may be influencing food intake, and how food marketers could meet their business objectives while helping people eat healthier. Particular attention is paid to the insights provided by recently published studies in the areas of marketing and consumer research, and those insights are integrated with findings from studies in nutrition and related disciplines. The review begins with an examination of the multiple ways in which 1) food pricing strategies and 2) marketing communication (including branding and food claims) bias food consumption. It then describes the effects of newer and less conspicuous marketing actions, focusing on 3) packaging (including the effects of package design and package-based claims) and 4) the eating environment (including the availability, salience, and convenience of food). Throughout, this review underscores the promising opportunities that food manufacturers and retailers have to make profitable "win-win" adjustments to help consumers eat better.
Text2Sketch: Learning Face Sketch from Facial Attribute Text

Face sketch is the main approach to find suspect in law enforcement, especially in many cases when facial attribute descriptions of suspects by witnesses are available. Face sketch synthesized from facial attribute text can also be used in sketch based face recognition. While most previous work focus on face photo to sketch synthesis, the problem of sketch synthesis with facial attribute text has not been explored yet. The problem is challenging due to two facts: firstly, no database of face attribute text to sketch is available; secondly, it is hard to synthesize high-quality face sketches due to the ambiguity and complexity of text description. In this paper, we propose a face sketch synthesis approach with text using Stagewise-GAN. Our contributions lie in two aspects: 1) we construct the first text to face sketch database. The database, namely Text2Sketch dataset, is annotated with CUFSF dataset of 1194 sketches. For each sketch, an attribute description is labelled; 2) we synthesize vivid face sketches using Stagewise-GAN. We use user study, face retrieval performance with synthesized sketch, and quantitative results for evaluation. Experimental results show the effectiveness of our approach.
Improving the Estimation of Word Importance for News Multi-Document Summarization

In this paper, we propose a supervised model for ranking word importance that incorporates a rich set of features. Our model is superior to prior approaches for identifying words used in human summaries. Moreover we show that an extractive summarizer which includes our estimation of word importance results in summaries comparable with the state-of-the-art by automatic evaluation. Disciplines Computer Engineering | Computer Sciences Comments University of Pennsylvania Department of Computer and Information Science Technical Report No. MSCIS-14-02. This technical report is available at ScholarlyCommons: http://repository.upenn.edu/cis_reports/989 Improving the Estimation of Word Importance for News Multi-Document Summarization Extended Technical Report Kai Hong University of Pennsylvania Philadelphia, PA, 19104 hongkai1@seas.upenn.edu Ani Nenkova University of Pennsylvania Philadelphia, PA, 19104 nenkova@seas.upenn.edu
DroidAlarm: an all-sided static analysis tool for Android privilege-escalation malware

Since smartphones have stored diverse sensitive privacy information, including credit card and so on, a great deal of malware are desired to tamper them. As one of the most prevalent platforms, Android contains sensitive resources that can only be accessed via corresponding APIs, and the APIs can be invoked only when user has authorized permissions in the Android permission model. However, a novel threat called privilege escalation attack may bypass this watchdog. It's presented as that an application with less permissions can access sensitive resources through public interfaces of a more privileged application, which is especially useful for malware to hide sensitive functions by dispersing them into multiple programs. We explore privilege-escalation malware evolution techniques on samples from Android Malware Genome Project. And they have showed great effectiveness against a set of powerful antivirus tools provided by VirusTotal. The detection ratios present different and distinguished reduction, compared to an average 61% detection ratio before transformation. In order to conquer this threat model, we have developed a tool called DroidAlarm to conduct a full-spectrum analysis for identifying potential capability leaks and present concrete capability leak paths by static analysis on Android applications. And we can still alarm all these cases by exposing capability leak paths in them.