nils-herrmann/clean_scirepeval huggingface dataset:
Behavioral Functionality of Mobile Apps in Health Interventions: A Systematic Review of the Literature

Several thousand mobile phone apps are available to download to mobile phones for health and fitness. Mobile phones may provide a unique means of administering health interventions to populations.



The purpose of this systematic review was to systematically search and describe the literature on mobile apps used in health behavior interventions, describe the behavioral features and focus of health apps, and to evaluate the potential of apps to disseminate health behavior interventions.



We conducted a review of the literature in September 2014 using key search terms in several relevant scientific journal databases. Only English articles pertaining to health interventions using mobile phone apps were included in the final sample.



The 24 studies identified for this review were primarily feasibility and pilot studies of mobile apps with small sample sizes. All studies were informed by behavioral theories or strategies, with self-monitoring as the most common construct. Acceptability of mobile phone apps was high among mobile phone users.



The lack of large sample studies using mobile phone apps may signal a need for additional studies on the potential use of mobile apps to assist individuals in changing their health behaviors. Of these studies, there is early evidence that apps are well received by users. Based on available research, mobile apps may be considered a feasible and acceptable means of administering health interventions, but a greater number of studies and more rigorous research and evaluations are needed to determine efficacy and establish evidence for best practices.
Image Dehazing using Bilinear Composition Loss Function

In this paper, we introduce a bilinear composition loss function to address the problem of image dehazing. Previous methods in image dehazing use a two-stage approach which first estimate the transmission map followed by clear image estimation. The drawback of a two-stage method is that it tends to boost local image artifacts such as noise, aliasing and blocking. This is especially the case for heavy haze images captured with a low quality device. Our method is based on convolutional neural networks. Unique in our method is the bilinear composition loss function which directly model the correlations between transmission map, clear image, and atmospheric light. This allows errors to be back-propagated to each sub-network concurrently, while maintaining the composition constraint to avoid overfitting of each sub-network. We evaluate the effectiveness of our proposed method using both synthetic and real world examples. Extensive experiments show that our method outperfoms state-of-the-art methods especially for haze images with severe noise level and compressions.
Concurrency control algorithm for shared disk cloud DBMS

Using shared disk architecture for relational cloud DBMSs enhances their performance and throughput and increases the scalability. In such architectures, transactions are not distributed between database instances and data are not migrated, whereas any database instance can read and access any database object. Lock technology control for concurrent transactions ensures their consistency especially in shared disk architecture, using traditional granularity database locks for cloud database, can cause numerous problems. This paper proposes an optimistic concurrency control algorithm that uses soft locks and minimizes the number of accessed database instances for validating a transaction. It creates a lock manager for all database objects and distributes it over database instances until it does not have to validate the transaction, neither with single database instance if it is owned by only a database instance nor with all database instances if it is replicated on all database instances. The proposed algorithm is evaluated against other cloud concurrency control algorithms and the results confirms its effectiveness.
Integration of scheduling and advanced process control in semiconductor manufacturing: review and outlook

Scheduling optimization in semiconductor manufacturing is always a crucial task in production performance indicators such as machine utilization, cycle time and delivery times. With the increasing complexity of fabrication techniques and scales, scheduling and control activities are inevitably confronted with each other and shall be integrated correspondingly. In particular scheduling and control are mutually dependent as control requires decisions from schedules, and scheduling should take control information into account. Based on a literature survey, we propose a general review and an outlook of the expected improvements related to binding scheduling decisions and information/constraints coming from Advanced Process Control systems in semiconductor manufacturing. Potential issues and tasks concerning this integration are addressed in this paper in order to stimulate more work in research and industrial practices.
Multiscale Dynamic Features Based Driver Fatigue Detection

Driver fatigue is a significant factor in many traffic accidents. We propose a novel approach for driver fatigue detection from facial image sequences, which is based on multiscale dynamic features. First, Gabor filters are used to get a multiscale representation for image sequences. Then Local Binary Patterns are extracted from each multiscale image. To account for the temporal aspect of human fatigue, the LBP image sequence is divided into dynamic units, and a histogram of each dynamic unit is computed and concatenated as dynamic features. Finally a statistical learning algorithm is applied to extract the most discriminative features from the multiscale dynamic features and construct a strong classifier for fatigue detection. The proposed approach is validated under real-life fatigue conditions. The test data includes 600 image sequences with illumination and pose variations from 30 people’s videos. Experimental results show the validity of the proposed approach, and a correct rate of 98.33% is achieved which is much better than the baselines.
Electrospinning: a fascinating fiber fabrication technique.

With the emergence of nanotechnology, researchers become more interested in studying the unique properties of nanoscale materials. Electrospinning, an electrostatic fiber fabrication technique has evinced more interest and attention in recent years due to its versatility and potential for applications in diverse fields. The notable applications include in tissue engineering, biosensors, filtration, wound dressings, drug delivery, and enzyme immobilization. The nanoscale fibers are generated by the application of strong electric field on polymer solution or melt. The non-wovens nanofibrous mats produced by this technique mimics extracellular matrix components much closely as compared to the conventional techniques. The sub-micron range spun fibers produced by this process, offer various advantages like high surface area to volume ratio, tunable porosity and the ability to manipulate nanofiber composition in order to get desired properties and function. Over the years, more than 200 polymers have been electrospun for various applications and the number is still increasing gradually with time. With these in perspectives, we aim to present in this review, an overview of the electrospinning technique with its promising advantages and potential applications. We have discussed the electrospinning theory, spinnable polymers, parameters (solution and processing), which significantly affect the fiber morphology, solvent properties and melt electrospinning (alternative to solution electrospinning). Finally, we have focused on varied applications of electrospun fibers in different fields and concluded with the future prospects of this efficient technology.
Modeling Document Summarization as Multi-objective Optimization

In this paper, we consider document summarization as a multi-objective optimization problem involving four objective functions, namely information coverage, significance, redundancy and text coherence. These functions measure the possible summaries based on the identified core terms and main topics (i.e. a cluster of semantically or statistically related core terms). We choose the DUC 2005 and 2006 query-oriented summarization tasks to exam the proposed model. The encouraging results indicate that the multi-objective optimization based framework for document summarization is truly a promising research direction.
Collaborative process deduction to help the crisis cell emerging ecosystem to coordinate the crisis response

One objective of the French-funded (ANR-2006-SECU-006) ISyCri Project (ISyCri stands for Interoperability of Systems in Crisis situation) is to provide the crisis cell in charge of the situation management with an information system (IS) able to support the interoperability of partners involved in this collaborative situation. Such a system is called Mediation Information System (MIS). This system must be in charge of (i) information exchange, (ii) services sharing and (iii) behavior orchestration. This paper presents the first step of the MIS engineering, the deduction of a collaborative process used to coordinate actors of the crisis cell. Especially, this paper give a formal definition of the deduction rules used to deduce the collaborative process.
Essential Oils as Feed Additives—Future Perspectives

The inconsistency of phytogenic feed additives' (PFA) effects on the livestock industry poses a risk for their use as a replacement for antibiotic growth promoters. The livestock market is being encouraged to use natural growth promotors, but information is limited about the PFA mode of action. The aim of this paper is to present the complexity of compounds present in essential oils (EOs) and factors that influence biological effects of PFA. In this paper, we highlight various controls and optimization parameters that influence the processes for the standardization of these products. The chemical composition of EOs depends on plant genetics, growth conditions, development stage at harvest, and processes of extracting active compounds. Their biological effects are further influenced by the interaction of phytochemicals and their bioavailability in the gastrointestinal tract of animals. PFA effects on animal health and production are also complex due to various EO antibiotic, antioxidant, anti-quorum sensing, anti-inflammatory, and digestive fluids stimulating activities. Research must focus on reliable methods to identify and control the quality and effects of EOs. In this study, we focused on available microencapsulation techniques of EOs to increase the bioavailability of active compounds, as well as their application in the animal feed additive industry.
Atherogenic Dyslipidemia and Residual Vascular Risk in Practice of Family Doctor

Timely recognition and optimal management of atherogenic dyslipidemia (AD) and residual vascular risk (RVR) in family medicine.



The global increase of the incidence of obesity is accompanied by an increase in the incidence of many metabolic and lipoprotein disorders, in particular AD, as an typical feature of obesity, metabolic syndrome, insulin resistance and diabetes type 2. AD is an important factor in cardio metabolic risk, and is characterized by a lipoprotein profile with low levels of high-density lipoprotein (HDL), high levels of triglycerides (TG) and high levels of low-density lipoprotein (LDL) cholesterol. Standard cardiometabolic risk assessment using the Framingham risk score and standard treatment with statins is usually sufficient, but not always that effective, because it does not reduce RVR that is attributed to elevated TG and reduced HDL cholesterol. RVR is subject to reduction through lifestyle changes or by pharmacological interventions. In some studies it was concluded that dietary interventions should aim to reduce the intake of calories, simple carbohydrates and saturated fats, with the goal of reaching cardiometabolic suitability, rather than weight reduction. Other studies have found that the reduction of carbohydrates in the diet or weight loss can alleviate AD changes, while changes in intake of total or saturated fat had no significant influence. In our presented case, a lifestyle change was advised as a suitable diet with reduced intake of carbohydrates and a moderate physical activity of walking for at least 180 minutes per week, with an recommendation for daily intake of calories alignment with the total daily (24-hour) energy expenditure (24-EE), depending on the degree of physical activity, type of food and the current health condition. Such lifestyle changes together with combined medical therapy with Statins, Fibrates and Omega-3 fatty acids, resulted in significant improvement in atherogenic lipid parameters.



Unsuitable atherogenic nutrition and insufficient physical activity are the new risk factors characteristic for AD. Nutritional interventions such as diet with reduced intake of carbohydrates and calories, moderate physical activity, combined with pharmacotherapy can improve atherogenic dyslipidemic profile and lead to loss of weight. Although one gram of fat release twice more kilo calories compared to carbohydrates, carbohydrates seems to have a greater atherogenic potential, which should be explored in future.
Synthesis and Study of 5 – [ ( Phenylsulfonyl ) Amino ] – 1 , 3 , 4 – Thiadiazole – 2 – Sulfonamide as Potential Anti – Pertussis Drug Using Chromatography and Spectroscopy Techniques

Pertussis is a respiratory transmitted disease affecting approximately 23% of the worlds’ population. It is causes by Bordetella Pertussis [1-23]. The emergence of Multiple-Drug-Resistant (MDR) Pertussis has focused the attention of the scientific community thought the world on the urgent need for new anti–Pertussis drugs. In pursuit of this goal, our research efforts are directed toward the discovery of new chemical entities that are effective as anti–Pertussis drugs. During recent years, there have been intense investigations of different classes of 1,3,4-thiadiazole-2-sulfonamide compounds and derivatives such as 5-[(Phenylsulfonyl)amino]-1,3,4-thiadiazole-2-sulfonamide many of which are known to possess interesting pharmaceutical, biological, biochemical and biomedical properties suchlike anti–microbial, anti– Pertussis and anti–inflammatory activities. It should be noted that the purity of the synthesized compound was confirmed by High Performance Liquid Chromatography (HPLC) and also Thin–Layer Chromatography (TLC). Furthermore, the molecular and chemical structure of compound was characterized by 1HNMR, 13CNMR, Attenuated Total Reflectance Fourier Transform Infrared (ATR–FTIR), FT–Raman and HR Mass spectra.
ROS Reality: A Virtual Reality Framework Using Consumer-Grade Hardware for ROS-Enabled Robots

Virtual reality (VR)systems let users intuitively interact with 3D environments and have been used extensively for robotic teleoperation tasks. While more immersive than their 2D counterparts, early VR systems were expensive and required specialized hardware. Fortunately, there has been a recent proliferation of consumer-grade VR systems at affordable price points. These systems are inexpensive, relatively portable, and can be integrated into existing robotic frameworks. Our group has designed a VR teleoperation package for the Robot Operating System (ROS), ROS Reality, that can be easily integrated into such frameworks. ROS  We completed a pilot study to test the efficacy of our system, with expert human users controlling a Baxter robot via ROS Reality to complete 24 dexterous manipulation tasks, compared to the same users controlling the robot via direct kinesthetic handling. This study provides insight into the feasibility of robotic teleoperation tasks in VR with current consumer-grade resources and exposes issues that need to be addressed in these VR systems. In addition, this paper presents a description of ROS Reality, its components, and architecture. We hope this system will be adopted by other research groups to allow for easy integration of VR teleoperated robots into future experiments.
Simulation debriefing for clinical judgment development: A concept analysis.

The aim of this review was to provide an in-depth analysis of debriefing in nursing simulation-based learning. Specifically, the authors sought to describe the debriefing concept within the context of enhancing nursing students' clinical judgment skill.



Concept analysis.



A literature review was conducted using five electronic databases with the addition of references for relevant papers reviewed. Medline Ovid, Cumulative Index to Nursing and Allied Health (CINAHL) Plus, Educational Resources Information Center (ERIC), ScienceDirect and Google Scholar were searched for articles published in English between 2005 and 2015. Search terms included clinical judgment, debriefing, and simulation.



The Walker and Avant systematic approach was utilized as a concept analysis framework. The analysis informed how the concept is defined in the existing literature.



The search resulted in a total of 47 articles. The concept of debriefing was analyzed using seven themes from Walker and Avant: concept definition, defining attributes, antecedents, consequences, empirical referents, uses of the concept, and a model case. Based on the analysis, an integrative simulation debriefing guide for promoting students' clinical judgment was presented as a vehicle for a consistent approach.



This review identified simulation debriefing as a structured and guided reflection process in which students actively appraise their cognitive, affective, and psychomotor performance within the context of their clinical judgment skill. Reflective debriefing provides students with an opportunity to assume an active role during the learning process. Following a structured debriefing guide can help educators and even students facilitate a learning environment that enhances students' clinical judgment development.
The Versatile Posterior Auricular Fascia in Secondary Rhinoplasty Procedures

Secondary rhinoplasty often involves the addition of autogenous graft material to add volume, structure, support and to camouflage cartilage and bone grafts. A variety of fascias have been used to camouflage, wrap and give “fill” in secondary rhinoplasty. The posterior auricular fascia is a source of material ideal for such purposes, and its quantity, anatomical structure and ease of harvest with minimal donor site morbidity make it a versatile and attractive autogenous graft. The clinical records of patients receiving autogenous posterior auricular fascial grafts were reviewed. There were two main uses of this graft material, one was to cover the tip reconstruction in secondary rhinoplasties under thin tip skin. This is a camouflage graft. The second use is for fill and augmentation, especially for the nasal dorsum and as an interpostitional graft between the dorsum and the tip. The posterior auricular fascial graft has many potential uses in secondary rhinoplasties and is readily harvested as a generous graft concurrent to conchal cartilage harvest and with a concealed scar behind the ear. This journal requires that authors assign a level of evidence to each article. For a full description of these evidence-based medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .
CTA-aware Prefetching for GPGPU

Several studies have been proposed to adopt memory prefetching schemes to reduce performance impact of long latency memory operations in GPUs. By leveraging a simple intuition that the consecutive warps are likely to have spatial locality, prior approaches prefetch two or four consecutive cache lines when there is a cache miss. Other approaches predict striding accesses by detecting base address and stride value from each warp’s load address history. Warp-based load prediction works well when a load instruction is repeatedly executed in a loop. But to exploit parallelism, GPU kernels favor creating a massive number of threads rather than sequential loop codes. In this paper, we exploit the observation that all the threads generated from a kernel execute the same code segment. When threads are grouped into cooperative tread arrays (CTAs), each thread uses thread id and CTA id to identify the data that it operates on. Thus the stride values for loads among warps within a cooperative tread array (CTA) can be easily detected and this stride value can be applied across all the CTAs in the kernel. However, the starting base address accessed by the first warp in a CTA is difficult to predict since that starting address depends on how the CTAs are created by the application programmer. Hence, we propose to first compute the base address of a load in each CTA by using a leading warp. The leading warp of each CTA is executed early by pairing it with warps from currently executing CTA. Thus our proposed CTA-aware prefetch predicts all the trailing warps’ load addresses by first computing the base address early through a leading warp and then using the stride value. Through simple enhancements to the existing two-level scheduler, prefetches can be issued sufficiently ahead of time before the demand requests. CTA-aware prefetch predicts addresses with over 94% accuracy and is able to improve performance by 5.4%.
Hepatorenal syndrome: a severe, but treatable, cause of kidney failure in cirrhosis.

Hepatorenal syndrome (HRS) is a unique type of kidney failure that occurs in advanced cirrhosis. It is characterized by functional impairment of the kidneys due to vasoconstriction of the renal arteries in the setting of preserved tubular function and absence of significant histologic abnormalities. Renal vasoconstriction in HRS is due to severe vasodilation of the splanchnic arteries associated with portal hypertension, leading to a decrease in effective arterial blood volume and arterial pressure. HRS commonly develops after a trigger, usually a bacterial infection, that disrupts the arterial circulation, but it also may occur spontaneously. There are 2 forms of HRS: type 1 is characterized by an acute progressive decrease in kidney function and very short survival without treatment, whereas type 2 features stable less severe kidney failure and longer survival compared with type 1. A liver transplant is the preferred treatment for HRS. Pharmacologic treatment with vasoconstrictors to reverse splanchnic vasodilation, together with albumin, is effective in 40%-50% of patients with type 1 HRS and improves survival. The drug of choice is the vasopressin analogue terlipressin. Renal replacement therapy should not be used as first-line therapy.
Improvements in the StArt tool to better support the systematic review process

Systematic Review (SR) is a methodology used to find and aggregate relevant existing evidence about a specific research topic of interest. It can be very time-consuming depending on the number of gathered studies that need to be analyzed by researchers. One of the relevant tools found in the literature and preliminarily evaluated by researchers of SRs is StArt, which supports the whole SR process. It has been downloaded by users from more than twenty countries.  To present new features available in StArt to support SR activities.  Based on users' feedback and the literature, new features were implemented and are available in the tool, like the SCAS strategy, snowballing techniques, the frequency of keywords and a word cloud for search string refining, collaboration among reviewers, and the StArt online community.  The new features, according to users' positive feedback, make the tool more robust to support the conduct of SRs.  StArt is a tool that has been continuously developed such that new features are often available to improve the support for the SR process. The StArt online community can improve the interaction among users, facilitating the identification of improvements and new useful features.