nils-herrmann/clean_scirepeval huggingface dataset:
Additive Manufacturing of Biomaterials, Tissues, and Organs
Venue: Annals of Biomedical Engineering

The introduction of additive manufacturing (AM) often referred to as three dimensional (3D) printing, has initiated what some believe to be a manufacturing revolution, and has expedited the development of the field of biofabrication. Moreover, recent advances in AM have facilitated further development of patient specific healthcare solutions. Customization of many healthcare products and services, such as implants, drug delivery devices, medical instruments, prosthetics, and in vitro models, would have been extremely challenging if not impossible without AM technologies. The current special issue of the Annals of Biomedical Engineering presents the latest trends in application of AM techniques to healthcare related areas of research. As a prelude to this special issue, we review here the most important areas of biomedical research and clinical practice that have benefited from recent developments in additive manufacturing techniques. This editorial, therefore, aims to sketch the research landscape within which the other contributions of the special issue can be better understood and positioned. In what follows, we briefly review the application of additive manufacturing techniques in studies addressing biomaterials, (re)generation of tissues and organs, disease models, drug delivery systems, implants, medical instruments, prosthetics, orthotics, and AM objects used for medical visualization and communication.
Computational Modeling, Formal Analysis, and Tools for Systems Biology
Venue: PLoS Comput. Biol.

As the amount of biological data in the public domain grows, so does the range of modeling and analysis techniques employed in systems biology. In recent years, a number of theoretical computer science developments have enabled modeling methodology to keep pace. The growing interest in systems biology in executable models and their analysis has necessitated the borrowing of terms and methods from computer science, such as formal analysis, model checking, static analysis, and runtime verification. Here, we discuss the most important and exciting computational methods and tools currently available to systems biologists. We believe that a deeper understanding of the concepts and theory highlighted in this review will produce better software practice, improved investigation of complex biological processes, and even new ideas and better feedback into computer science.
The impact of top management support for strategic planning on crisis management: Case study on UNRWA Gaza strip

The study aims to analyze the impact of top management support for strategic planning on crisis management in UNRWA Gaza Strip field in Palestine. Several descriptive analytical methods were used for this purpose, and a survey as a tool for data collection. Community size was (881) and the study sample was stratified random (268) The overall findings of the current study show that top management provides needed HR for strategic planning but with no financial support. Also there are shortcomings in the way that organization manages the crises before and after they occur. A crisis management is only practicing during the crisis. The study suggest that top management must provide the financial support for strategic planning, periodic meetings to prepare how to deal with potential crisis in the future, establishing a specialized team and provide them with all sources needed.
Cultural Influence on Strategic Human Resource Management Practices: A Jordanian Case Study

This study aims to investigate the impact of national culture on strategic human resource management (SHRM) practices on Pharmaceutical industries in Jordan. A quantitative research design using regression analysis was applied in this study and a total of 133 were obtained through a questionnaire distributed to pharmaceutical industries in Jordan. The results showed that national culture dimensions significantly affect SHRM practices and namely, masculinity, uncertainty avoidance, long term orientation, and individualism have an impact on SHRM practices. Except power distance has insignificant effect on SHRM practices. This study implies that HR managers must be aware of national culture of their country, and try to link it with SHRM practices to improve the company's performance. Moreover, since national culture explained 20% of the variance in SHRM practices, future researches should be directed towards examining other factors affecting SHRM practices.
Investigations on the Degradation of 1.2 kV 4H SiC MOSFETs Under Repetitive Short Circuit Tests
Venue: IEEE Transactions on Electron Devices

The long term operational reliability of silicon carbide (SiC) MOSFETs needs to be further verified before they could replace silicon counterparts in power applications. In this paper, the failure mechanism of commercial 1.2 kV SiC MOFSETs under repetitive short circuit (SC) tests has been investigated. Relatively low stress defined as low bias voltage and short SC duration is imposed on the devices, eliminating the effect of gate oxide degradation and metal deterioration. The generation of hot holes in the oxide is confirmed by the charge pumping experiments and measurements on the transfer characteristics of the stressed devices during the tests. Electrothermal simulation results demonstrate that the trapped holes are located above the channel region due to the high local impact ionization generation rate and electric field. Besides, the additional positive electric field to the channel makes Vth decrease and Idss increase, which are consistent with the experimental results. What is more, the trapped holes get indeed released, as the ambient temperature increases when the stress is removed.
High prices to access scholarly research could drive developing country researchers to use pirate sites like SciHub

Developing countries are investing more in research and higher education and it should be no surprise that publishers are building commercial relationships to expand access and services. But prices are often still too high. Jonathan Harle argues now is a good time for the research community to reflect on what we can do to bring the cost of access down. If we don't, we can't be surprised when pirate alternatives like SciHub crop up.
Price Discovery Mechanism of Spot and Futures Market in India: A Case of Selected Agri Commodities

In this study an attempt has been made to study the price discovery relationship for five of the top traded agricultural commodities on NCDEX namely chilli, Coriander, zeera, pepper and turmeric. The essential daily data on spot and futures market prices were collected from the NCDEX website for the period 2010 to 2015. The near month contract of the futures markets commodity was considered for the study, as they are mostly traded as compared to next month and far month future contracts. Augmented Dickey Fuller test was test stationary of the data series. Johansen cointegration test was access the long run relationship between the variables and Vector Error Correction Mechanism (VECM) was examine the short run dynamics. The cointegration results validate the existence of long run relationship between spot and futures series of Chilli, coriander, jeera, pepper and turmeric respectively. The vector error correction model verifies bidirectional causality between spot and futures series of Chilli, coriander, jeera, pepper and turmeric suggesting that both the spot and future markets of the selected agricultural commodity plays the leading role through price discovery process in India and assumed to be informational efficient and reacts more quickly to each other.
DUALSIM: Parallel Subgraph Enumeration in a Massive Graph on a Single Machine
Venue: SIGMOD Conference

Subgraph enumeration is important for many applications such as subgraph frequencies, network motif discovery, graphlet kernel computation, and studying the evolution of social networks. Most earlier work on subgraph enumeration assumes that graphs are resident in memory, which results in serious scalability problems. Recently, efforts to enumerate all subgraphs in a large scale graph have seemed to enjoy some success by partitioning the data graph and exploiting the distributed frameworks such as MapReduce and distributed graph engines. However, we notice that all existing distributed approaches have serious performance problems for subgraph enumeration due to the explosive number of partial results. In this paper, we design and implement a disk based, single machine parallel subgraph enumeration solution called DualSim that can handle massive graphs without maintaining exponential numbers of partial results. Specifically, we propose a novel concept of the dual approach for subgraph enumeration. The dual approach swaps the roles of the data graph and the query graph. Specifically, instead of fixing the matching order in the query and then matching data vertices, it fixes the data vertices by fixing a set of disk pages and then finds all subgraph matchings in these pages. This enables us to significantly reduce the number of disk reads. We conduct extensive experiments with various real world graphs to systematically demonstrate the superiority of DualSim over state of the art distributed subgraph enumeration methods. DualSim outperforms the state of the art methods by up to orders of magnitude, while they fail for many queries due to explosive intermediate results.
Workability and Rheology of Fresh Recycled Aggregate Concrete

The use of recycled aggregates concrete (RAC) with coarse recycled concrete aggregates (CRCA) has been widely studied in literature. A number of works investigated both mechanical and durability related properties of these concretes; however, fresh properties of RAC have not been extensively analyzed yet. Limited studies were focused on the influence of some recycled aggregate properties on slump, which is the most frequently used measure to evaluate workability. Since this measure is a single value and it is often operator sensitive, a more quantitative estimate can be derived in terms of fundamental physical quantities, such as plastic viscosity and yield stress. The higher heterogeneity in terms of experimental slump measure occurs indeed when recycled aggregate concrete is tested. In this chapter, a review of the existing experimental methods for the evaluation of fresh concrete workability is given. Additionally, the behavior of fresh concrete is explored, aiming to understand which physical phenomena govern the macroscopic rheological behavior, under some specific conditions, e.g. in terms of mix composition, casting conditions, etc. Some experimental results about fresh recycled concretes workability and rheology, collected from literature, are also discussed.
Methodological Issues in Predicting Pediatric Epilepsy Surgery Candidates Through Natural Language Processing and Machine Learning
Venue: Biomedical informatics insights

We describe the development and evaluation of a system that uses machine learning and natural language processing techniques to identify potential candidates for surgical intervention for drug resistant pediatric epilepsy. The data are comprised of free text clinical notes extracted from the electronic health record (EHR) Both known clinical outcomes from the EHR and manual chart annotations provide gold standards for the patient's status. The following hypotheses are then tested: 1) machine learning methods can identify epilepsy surgery candidates as well as physicians do and 2) machine learning methods can identify candidates earlier than physicians do. These hypotheses are tested by systematically evaluating the effects of the data source, amount of training data, class balance, classification algorithm, and feature set on classifier performance. The results support both hypotheses, with F measures ranging from 0.71 to 0.82. The feature set, classification algorithm, amount of training data, class balance, and gold standard all significantly affected classification performance. It was further observed that classification performance was better than the highest agreement between two annotators, even at one year before documented surgery referral. The results demonstrate that such machine learning methods can contribute to predicting pediatric epilepsy surgery candidates and reducing lag time to surgery referral.
Design of a panorama parking system based on DM6437
Venue: 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP BMEI)

Parking cars in a crowded parking lot is nontrivial for many drivers. Car cameras have been used extensively to assist parking. However, due to the limitation of the Angle of View (AoV) dead zone still exists. In this paper, we give the design of a panorama parking system based on DM6437. Our system captures videos around a car through four wide angle cameras mounted at different sides of the car. Then, it leverages image mosaic techniques to provide a real time panorama video of the car. With the help of our system, drivers can observe the environment around the car as far as three meters from a top view. Experimental results show that our system can satisfy the requirements for practical use and provide strong assurance for parking cars safely.
Information and Selforganization: A Unifying Approach and Applications
Venue: Entropy

Selforganization is a process by which the interaction between the parts of a complex system gives rise to the spontaneous emergence of patterns, structures or functions. In this interaction the system elements exchange matter, energy and information. We focus our attention on the relations between selforganization and information in general and the way they are linked to cognitive processes in particular. We do so from the analytical and mathematical perspective of the "second foundation of synergetics" and its "synergetic computer" and with reference to several forms of information: Shannon's information that deals with the quantity of a message irrespective of its meaning, semantic and pragmatic forms of information that deal with the meaning conveyed by messages and information adaptation that refers to the interplay between Shannon's information and semantic or pragmatic information. We first elucidate the relations between selforganization and information theoretically and mathematically and then by means of specific case studies.
Control of the Metal Insulator Transition at Complex Oxide Heterointerfaces through Visible Light.
Venue: Advanced materials

The coupling of the localized surface plasmon resonance of Au nanoparticles is utilized to deliver a visible light stimulus to control conduction at the LaAlO3 /SrTiO3 interface. A giant photoresponse and the controllable metal insulator transition are characterized at this heterointerface. This study paves a new route to optical control of the functionality at the heterointerfaces.
Timescales of storage and recycling of crystal mush at Krafla Volcano, Iceland
Venue: Contributions to Mineralogy and Petrology

Processes in upper crustal magma reservoirs such as recharge, magma mixing, recycling of previously crystallized material, and eruption affect both the physical state and the chemical composition of magmas. A growing body of evidence shows that crystals in intermediate or silicic volcanic rocks preserve records of these processes that may be obscured due to mixing in the liquid fraction of magmas. Fewer studies have focused on crystals in basaltic lavas, but these show evidence for a more subtle, but still rich record of magmatic processes. We present new 238U 230Th 226Ra data for plagioclase, combined with d18O and trace element measurements of the same crystal populations, from basalts erupted at Krafla Volcanic Center, Iceland. These data document the presence of multiple crystal populations within each sample, with chemical and oxygen isotope heterogeneity at a variety of scales: within individual crystals, between crystals in a given population, between crystal populations within the same sample, and between crystals in lavas erupted from different vents during the same eruption. Comparison to whole rock or groundmass data shows that the majority of macroscopic crystals are not in trace element or oxygen isotope equilibrium with their host liquids. The most likely explanation for these data is that the macroscopic crystals originated within a highly heterogeneous crystal mush in the shallow magma reservoir system. U series and diffusion data indicate that the crystals (and therefore the mush) formed recently (likely within a few thousand years of eruption, and with a maximum age of 8 9 ka) and that the crystals resided in their host magma prior to eruption for decades to a few centuries at most. These data, in conjunction with other recent studies, suggest a model where erupted Icelandic magmas are the result of diverse magmas entering the crust, followed by complex interactions between melts and previously crystallized material at all crustal levels.
Ultra Low Offset Vertical Hall Sensor in CMOS Technology

This paper reports on a novel vertical Hall sensor with ultra low offset (ULOVHS) for the measurement of an in plane magnetic field component. The sensor consists of four parallel coupled fully symmetric vertical Hall sensors (FSVHS) Each FSVHS is formed by the connection of four identical three contact vertical Hall elements (3CVHE) As a result, with a bias current of 0.5 mA and after current switching, a mean residual offset of 0.27 mV with a standard deviation of 0.29 mV has been achieved among 40 samples on an 8 inch wafer, which is an improvement of a factor of 16 compared to the FSVHS (4.2+ 14 mV) Furthermore, the measured current related sensitivity of the novel device is SI 12.65 V/AT, allowing the detection of magnetic fields down to Bmin 40 mT without any additional electrical compensation circuitry. This represents the best results to date achieved by a standalone VHS in standard CMOS technology.
Assessing customer value for express service providers: An empirical study from shippers' perspective in Taiwan

Customer value is an important factor to evaluate the competitive strength for an international express service provider. It is also a key criterion to choose an express service. Hence, the main purpose of this paper was to develop a fuzzy multiple criteria decision making (MCDM) model to assess the customer value for three express service providers in Taiwan based on the shippersaEUR(tm) perspective. Firstly we employed some concepts of fuzzy set theory to develop a fuzzy MCDM model. Subsequently, a hierarchical structure was constructed with four criteria, twenty sub criteria and three alternatives (i.e. UPS, FedEx and DHL) Then, this paper conducts an empirical study by means of a survey from the viewpoints of shippers in Taiwan. Finally, the results of this study showed that: (1) the aEUR~timeaEUR(tm) aspect is the most important criterion affecting the customer service based on the viewpoints of exporters and importers in Taiwan; (2) the top six key factors affecting customer value for express service providers are aEUR~land time between house and airport at both ends,aEUR(tm) aEUR~administrative processing time,aEUR(tm) aEUR~pick up and haul time in warehouse,aEUR(tm) aEUR~level of accuracy,aEUR(tm) aEUR~level of safety,aEUR(tm) and aEUR~rapid turnover,aEUR(tm) respectively; (3) FedEx offers the best customer value in Taiwan based on the proposed fuzzy MCDM model. Furthermore, some discussions are provided for express service companies. The main contribution of this paper is to provide a practical survey for business application on customer value of express service providers.
Research on classification and restruction of Express service quality elements based on Kano model
Venue: 2016 13th International Conference on Service Systems and Service Management (ICSSSM)

Due to the shortcomings of the traditional Kano model classification principle, this paper explores the problems of service quality classification and restruction from the perspective of Express service quality. Using the analytical Kano model to classify the service quality elements objectively, and by the decision making index of analytical Kano to calculate priority index based on the result of classification, according to the number of priority index to construct the plan of Express service quality elements. Finally, the feasibility and validity of this method has been verified through empirical study.
The importance of back contact modification in Cu2ZnSnSe4 solar cells: The role of a thin MoO2 layer

(CZTSSe) photovoltaic absorbers could be the earth abundant and low toxicity replacement for the already commercialized CuIn1 xGaxSe2 (CIGS) thin film technology. In order to make this possible, specific research efforts applied to the bulk, front and back interfaces must be performed with the aim of improving CZTSSe performance. In this paper the importance of back contact modification to obtain high efficiency Cu2ZnSnSe4 (CZTSe) solar cells and to increase a paramount and limiting parameter such as VOC is highlighted. Several Mo configurations (monolayer, bi layer and tri layer) with different electrical and morphological properties are investigated in CZTSe solar cells. An optimum tri layer configuration in order to minimize overselenization of the back contact during thermal annealing while keeping reasonable electrical features is defined. Additionally, a thin intermediate MoO2 layer that results in a very effective barrier against selenization and innovative way to efficiently assist in the CZTSe absorber sintering is introduced. The use of this layer enhances grain growth and subsequently the efficiency of solar cells increases via major VOC and FF improvement. An efficiency increase from 7.2% to 9.5% is obtained using a Mo tri layer with a 20 nm intermediate MoO2 layer.
Alkali doping strategies for flexible and light weight Cu2ZnSnSe4 solar cells

In this work we report on the effect of alkali doping via Na and/or K introduction into flexible and light weight Cu2ZnSnSe4 (CZTSe) solar cells obtained using a sequential process based on the sputtering of metallic stacks and further reactive annealing. Different thicknesses of Cr diffusion barriers and 50 mm thick ferritic steel substrates were used. We compare different doping methods: Na doped Mo targets (MoNa) SLG underneath the flexible substrates, NaF and KF pre absorber synthesis evaporation (PAS) and post deposition evaporation (PDT) Additionally, we report on the importance of the Cr barrier and back contact modification to improve solar cell performance. A remarkable enhancement in the absorber grain size and surface morphology occurred especially when using Na via MoNa and PAS. Nevertheless, preliminary experiments led to better results for MoNa doping due to a higher Na content confirmed by TOF SIMS. K doping via PAS also showed promising results. An increase in the efficiency of solar cells from 2.2% to 4.3% was possible when using a MoNa layer sandwiched between regular Mo layers. The improvement is mainly related to a higher VOC and FF. After performing a detailed Cr and back contact optimization, a record value of 6.1% for flexible CZTSe solar cells was recently obtained using MoNa and a new surface Ge doping.