LLukas22/scidocs huggingface dataset:
Multiple European wasp stings and acute renal failure.

Dr. Lionel Nace, Service de Réanimation Médicale, Hôpital Central, F-54035 Nancy Cedex (France) Table 1. Biological data Day Normal values Dear Sir, We report a case of acute renal failure (ARF) without hemolysis or rhabdomyolysis after multiple wasp stings. ARF after multiple stings from the hymen-optera species is a well-known [1] but still rare phenomenon (18 cases) [2-7] and its occurrence is exceptional in European countries with only 1 case reported [7]. Then, ARF is related to an acute tubular necrosis due to rhabdomyolysis or intravascular hemolysis. A 56-year-old man with no history of renal disease was stung in the north-east of France by a swarm of wasps (vespula germanica?); between 20 and 30 stings were located on both upper limbs and the face. He was first treated with dexamethasone and HI histamine inhibitors. During the first 12 h the patient felt unwell with a gastroenteritis-like syndrome. At a local hospital, 18 h after poisoning, no shock was observed. Fourty-eight hours after poisoning, he developed ARF with oligoanuria and was transferred to our intensive care unit. On admission, blood pressure was 130/60 mm Hg, uri-nalysis was normal and diuresis was restored after diuretic administration (see biological data in table 1). Moreover, no hemolysis was observed (no hemoglobinuria, free hemoglobin and haptoglobin level within normal ranges). A normal renal angiography discarded any renal vascular lesion. In spite of urine flow restoration, ARF got worse and required hemodialysis on the 3rd day. Then, renal function improved gradually and had returned to normal 3 months later. No kidney biopsy was performed. In the literature, ARF after wasp stings is attributed to rhabdomyolysis or hemolysis. Rhabdomyolysis seems secondary to the poia Stings. b Admission. soning action of phospholipases, polypep-tides, histamine and serotonine from wasp venom [2,3,8]. In the same way, intravascular hemolysis appears related to phospholipase A and basic protein fractions [2]. In both cases, intraglomerular clotting of myoglobin or hemoglobin induces ARF.
Prediction of indolent prostate cancer: validation and updating of a prognostic nomogram.

PURPOSE
Screening with serum prostate specific antigen testing leads to the detection of many prostate cancers early in their natural history. Statistical models have been proposed to predict indolent cancer. We validated and updated model predictions for a screening setting.


MATERIALS AND METHODS
We selected 247 patients with clinical stage T1C or T2A from the European Randomized Study on Screening for Prostate Cancer who were treated with radical prostatectomy. We validated a nomogram that had previously been developed in a clinical setting. Predictive characteristics were serum prostate specific antigen, ultrasound prostate volume, clinical stage, prostate biopsy Gleason grade, and total length of cancer and noncancer tissue in biopsy cores. Indolent cancer was defined as pathologically organ confined cancer 0.5 cc or less in volume without poorly differentiated elements. Logistic regression was used to update the previous model and examine the contribution of other potential predictors.


RESULTS
Overall 121 of 247 patients (49%) had indolent cancer, while the average predicted probability was around 20% (p <0.001). Effects of individual variables were similar to those found before and discriminative ability was adequate (AUC 0.76). An updated model was constructed, which merely recalibrated the nomogram and did not apply additional predictors.


CONCLUSIONS
Prostate cancers identified in a screening setting have a substantially higher likelihood of being indolent than those predicted by a previously proposed nomogram. However, an updated model can support patients and clinicians when the various treatment options for prostate cancer are considered.
Predictors of Physical Spousal/Intimate Violence in Chinese American Families

A total of 262 Chinese Americans (133 males and 129 females) were randomly selected from the Los Angeles County telephone directory using Chinese surnames as the identifying marker. A structured telephone interview was administered measuring respondents' gender role beliefs, acculturation, sociodemographic factors, and their victimization experiences with physical aggression by a spouse or intimate partner. Contrary to the feminist literature on domestic violence, gender role beliefs was not related to physical intimate violence. Acculturation, however, significantly predicted severe physical violence experienced during respondents' lifetime. Whether respondents were employed also predicted lifetime minor forms physical violence by a spouse/intimate partner. Findings are discussed in a cultural context, and social work practice and research implications are also highlighted.
Learning letter names and sounds: effects of instruction, letter type, and phonological processing skill.

Preschool-age children (N=58) were randomly assigned to receive instruction in letter names and sounds, letter sounds only, or numbers (control). Multilevel modeling was used to examine letter name and sound learning as a function of instructional condition and characteristics of both letters and children. Specifically, learning was examined in light of letter name structure, whether letter names included cues to their respective sounds, and children's phonological processing skills. Consistent with past research, children receiving letter name and sound instruction were most likely to learn the sounds of letters whose names included cues to their sounds regardless of phonological processing skills. Only children with higher phonological skills showed a similar effect in the control condition. Practical implications are discussed.
Randomized Speedup of the Bellman-Ford Algorithm

We describe a variant of the Bellman–Ford algorithm for single-source shortest paths in graphs with negative edges but no negative cycles that randomly permutes the vertices and uses this randomized order to process the vertices within each pass of the algorithm. The modification reduces the worst-case expected number of relaxation steps of the algorithm, compared to the previously-best variant by Yen (1970), by a factor of 2/3 with high probability. We also use our high probability bound to add negative cycle detection to the randomized algorithm.
Information Security in Health Care Centre Using Cryptography and Steganography

As the volume of medicinal information stored electronically increase, so do the need to enhance how it is secured. The inaccessibility to patient record at the ideal time can prompt death toll and also well degrade the level of health care services rendered by the medicinal professionals. Criminal assaults in social insurance have expanded by 125% since 2010 and are now the leading cause of medical data breaches. This study therefore presents the combination of 3DES and LSB to improve security measure applied on medical data. Java programming language was used to develop a simulation program for the experiment. The result shows medical data can be stored, shared, and managed in a reliable and secure manner using the combined model. Keyword: Information Security; Health Care; 3DES; LSB; Cryptography; Steganography 1.0 INTRODUCTION In health industries, storing, sharing and management of patient information have been influenced by the current technology. That is, medical centres employ electronical means to support their mode of service in order to deliver quality health services. The importance of the patient record cannot be over emphasised as it contributes to when, where, how, and how lives can be saved. About 91% of health care organizations have encountered no less than one data breach, costing more than $2 million on average per organization [1-3]. Report also shows that, medical records attract high degree of importance to hoodlums compare to Mastercard information because they infer more cash base on the fact that bank
Integration of continuous caster and hot strip mill planning for steel production

In this paper we present a model and a solution approach for integration of steel continuous casters and hot strip mills to provide more responsive steel production at lower unit cost. We describe the production environment and survey existing methods for planning continuous casters and hot strip mills. Since these processes lie at the solid/liquid interface we us “virtual” slabs, corresponding to possible solid forms of liquid steel, in order to integrate schedules for these two processes. We model the planning problem as a hybrid network. Our model is s lv d using a combination of mathematical programming and heuristic techniques and we show that the solutions provided are very nearly optimal. The approach which we describe has been implemented at several steel mills worldwide and has demonstrated significant savings.
Consolidating complementary VMs with spatial/temporal-awareness in cloud datacenters

In cloud datacenters, effective resource provisioning is needed to maximize energy efficiency and utilization of cloud resources while guaranteeing the Service Level Agreement (SLA) for tenants. Previous resource provisioning strategies either allocate physical resources to virtual machines (VMs) based on static VM resource demands or dynamically handle the variations in VM resource requirements through live VM migrations. However, the former fail to maximize energy efficiency and resource utilization while the latter produce high migration overhead. To handle these problems, we propose an initial VM allocation mechanism that consolidates complementary VMs with spatial/temporal-awareness. Complementary VMs are the VMs whose total demand of each resource dimension (in the spatial space) nearly reaches their host's capacity during VM lifetime period (in the temporal space). Based on our observation of the existence of VM resource utilization patterns, the mechanism predicts the lifetime resource utilization patterns of short-term VMs or periodical resource utilization patterns of long-term VMs. Based on the predicted patterns, it coordinates the requirements of different resources and consolidates complementary VMs in the same physical machine (PM). This mechanism reduces the number of PMs needed to provide VM service hence increases energy efficiency and resource utilization and also reduces the number of VM migrations and SLA violations. Simulation based on two real traces and real-world testbed experiments show that our initial VM allocation mechanism significantly reduces the number of PMs used, SLA violations and VM migrations of the previous resource provisioning strategies.
Automotive Software Architectures

Modern cars have evolved from mechanical devices into distributed cyber-physical systems which rely on software to function correctly. Starting from the 1970s the amount of electronics and software used has gradually increased from as little as one computer (Electronic Control Unit, ECU) to as much as 150 ECUs in 2015. The trend in the architecture, however, changes as companies look for ways to decrease the number of central computing nodes and connect them with the increased number of I/O nodes. In this chapter we provide an overview of the book and the conventions used in it and introduce the examples which we will use throughout. We describe the history of the automotive software anchoring the events in the evolution of the market of the electronics and software in modern cars. Towards the end of the chapter we also describe which directions can be pursued to deepen the knowledge of automotive software. 1.1 Software and Modern Cars The introduction of software to cars opened up plenty of opportunities—from the optimization of cars’ performance and to exciting infotainment features. Modern cars are full of electronics and the consumers are looking for car platforms which fully resemble software products. A good example of this kind of car is Tesla, which is known for innovations driven by software. The manufacturer is known for constantly pushing new versions of software to customers, providing them with new, exciting features almost every day. The software intensive systems in modern cars provide plenty of new opportunities, but they also require more careful design, implementation, verification and validation before they can be released to users. And although the practices of software engineering include methods and tools able to fulfill the needs for safety and reliability of the automotive software, they must be applied in an automotivespecific manner to address these needs. We could see the clear development of the automotive industry into a field less dominated by mechanical engineering but with a growing component of electronic and software engineering. We have seen the evolution of software from simple engine control algorithms of the 1970s to the advanced safety systems of the 2000s and the advanced connectivity of the 2010s. We can observe that the trends of using © Springer International Publishing AG 2017 M. Staron, Automotive Software Architectures, DOI 10.1007/978-3-319-58610-6_1 1
The effects of observation of walking in a living room environment, on physical, cognitive, and quality of life related outcomes in older adults with dementia: a study protocol of a randomized controlled trial

BACKGROUND
The number of older adults with dementia is expected to increase. Dementia is not only characterized by a decline in cognition, also other functions, for example, physical functioning change. A possible means to decrease the decline in these functions, or even improve them, could be increasing the amount of physical activity. A feasible way hereto may be activation of the mirror neuron system through action observation. This method has already been shown beneficial for the performance of actions in, for example, stroke patients. The primary aim of this study is to examine the effect of observing videos of walking people on physical activity and physical performance, in older adults with dementia. Secondary, effects on cognition and quality of life related factors will be examined.


METHODS/DESIGN
A cluster randomized controlled trial is being performed, in which videos are shown to older adults with dementia (also additional eligibility criteria apply) in shared living rooms of residential care facilities. Due to the study design, living rooms instead of individual participants are randomly assigned to the experimental (videos of walking people) or control (videos of nature) condition, by means of drawing pieces of paper. The intervention has a duration of three months, and takes place on weekdays, during the day. There are four measurement occasions, in which physical activity, physical functioning, activities of daily living, cognition, the rest-activity rhythm, quality of life, and depression are assessed. Tests for participants are administered by a test administrator who is blind to the group the participant is in.


DISCUSSION
This study examines the effect of the observation of walking people on multiple daily life functions and quality of life related factors in older adults with dementia. A strength of this study is that the intervention does not require much time and attention from caregivers or researchers. A challenge of the study is therefore to get to know for how long residents watch the videos. However, the design implies a high feasibility of the study, as well as a high applicability of the intervention into daily care.


TRIAL REGISTRATION
NTR4708. Date of registration: 31 July 2014.
A teaching database for diagnosis of hematologic neoplasms using immunophenotyping by flow cytometry.

CONTEXT
In the diagnosis of lymphomas and leukemias, flow cytometry has been considered an essential addition to morphology and immunohistochemistry. The interpretation of immunophenotyping results by flow cytometry involves pattern recognition of different hematologic neoplasms that may have similar immunologic marker profiles. An important factor that creates difficulty in the interpretation process is the lack of consistency in marker expression for a particular neoplasm. For this reason, a definitive diagnostic pattern is usually not available for each specific neoplasm. Consequently, there is a need for decision support tools to assist pathology trainees in learning flow cytometric diagnosis of leukemia and lymphoma.


OBJECTIVE
Development of a Web-enabled relational database integrated with decision-making tools for teaching flow cytometric diagnosis of hematologic neoplasms.


DESIGN
This database has a knowledge base containing patterns of 44 markers for 37 hematologic neoplasms. We have obtained immunophenotyping data published in the scientific literature and incorporated them into a mathematical algorithm that is integrated to the database for differential diagnostic purposes. The algorithm takes into account the incidence of positive and negative expression of each marker for each disorder.


RESULTS
Validation of this algorithm was performed using 92 clinical cases accumulated from 2 different medical centers. The database also incorporates the latest World Health Organization classification for hematologic neoplasms.


CONCLUSIONS
The algorithm developed in this database shows significant improvement in diagnostic accuracy over our previous database prototype. This Web-based database is proposed to be a useful public resource for teaching pathology trainees flow cytometric diagnosis.
1a processor: Organization and objectives

This paper presents an overview of the 1A Processor in terms of objectives, design philosophy, major features, and applications in the Bell System. It also serves as an introduction to the detailed technical papers that follow.
Pixel bar charts: a visualization technique for very large multi-attribute data sets?

{Portions reprinted, with permission from Keim et al. #2001 IEEE Abstract Simple presentation graphics are intuitive and easy-to-use, but show only highly aggregated data presenting only a very small number of data values (as in the case of bar charts) and may have a high degree of overlap occluding a significant portion of the data values (as in the case of the x-y plots). In this article, the authors therefore propose a generalization of traditional bar charts and x-y plots, which allows the visualization of large amounts of data. The basic idea is to use the pixels within the bars to present detailed information of the data records. The so-called pixel bar charts retain the intuitiveness of traditional bar charts while allowing very large data sets to be visualized in an effective way. It is shown that, for an effective pixel placement, a complex optimization problem has to be solved. The authors then present an algorithm which efficiently solves the problem. The application to a number of real-world ecommerce data sets shows the wide applicability and usefulness of this new idea, and a comparison to other well-known visualization techniques (parallel coordinates and spiral techniques) shows a number of clear advantages. Information Visualization (2002) 1, 20 – 34. DOI: 10.1057/palgrave/ivs/9500003
Detecting credit card fraud by genetic algorithm and scatter search

In this study we develop a method which improves a credit card fraud detection solution currently being used in a bank. With this solution each transaction is scored and based on these scores the transactions are classified as fraudulent or legitimate. In fraud detection solutions the typical objective is to minimize the wrongly classified number of transactions. However, in reality, wrong classification of each transaction do not have the same effect in that if a card is in the hand of fraudsters its whole available limit is used up. Thus, the misclassification cost should be taken as the available limit of the card. This is what we aim at minimizing in this study. As for the solution method, we suggest a novel combination of the two well known meta-heuristic approaches, namely the genetic algorithms and the scatter search. The method is applied to real data and very successful results are obtained compared to current practice. 2011 Elsevier Ltd. All rights reserved.
Multiband Frequency Reconfigurable 4G Handset Antenna with MIMO Capability

A novel frequency reconfigurable 4G Multiple-Input Multiple-Output (MIMO) handset antenna is presented and verified with experimental results. Frequency tuning is used to minimize the antenna volume and to compensate for the losses related to user-originated impedance detuning. Both antenna elements are independently frequency reconfigurable and can cover most of the LTE-A bands. The study compares the losses of CMOSand MEMS-based digitally tunable capacitors (DTC). In addition, two prototypes with total antenna volumes of 1170 and 3900 mm3 have been studied. The results show that the larger antenna structure operates with an efficiency better than 49% across the frequencies of 698–960 MHz and better than 56% across the frequencies of 1430–2690 MHz, when a MEMS-based DTC is used. In addition, a new method is introduced to estimate the suitability of the antenna geometry for frequency tunable antennas.
Deep learning with geodesic moments for 3D shape classification

In this paper, we present a deep learning framework for efficient 3D shape classification using geodesic moments. Our approach inherits many useful properties from the geodesic distance, most notably the capture of the intrinsic geometric structure of 3D shapes and the invariance to isometric deformations. Moreover, we show the similarity between the convergent series of the geodesic moments and the inverse-square eigenvalues of the Laplace–Beltrami operator in the continuous setting. The proposed algorithm uses a two-layer stacked sparse autoencoder to learn deep features from geodesic moments by training the hidden layers individually in an unsupervised fashion, followed by a softmax classifier. Experimental results on three standard 3D shape benchmarks demonstrate superior performance of the proposed approach compared to existing methods. © 2017 Elsevier B.V. All rights reserved.
A secure and resilient WSN roadside architecture for intelligent transport systems

We propose a secure and resilient WSN roadside architecture for intelligent transport systems which supports the two complementary services accident prevention and post-accident investigation. Our WSN security architecture is stimulated by the understanding that WSN roadside islands will only be rolled-out and used when hardware costs are close to the minimum. We provide a purely software based security solution which does not rely on costly HW components like road side units (RSU) or tamper resistant modules on sensor nodes. We use existing components, but also describe protocols that may be of independent interest.
Adiabatic shear bands in the Taylor impact test for a WHA rod

ÐWe analyse the development of shear bands in axisymmetric, thermomechanical deformations of a circular tungsten heavy alloy (WHA) rod impacting at normal incidence a smooth rigid target. The rod's material is modeled either as a mixture of Fe±Ni±W particles interspread randomly among the W-particles or as a homogeneous alloy. For comparison purposes we also analyse deformations of a pure W and an Fe±Ni±W rod. It is found that shear bands, de®ned as narrow regions of rapid intense plastic deformation, form near the transition between the mushroomed region and the relatively undeformed portion of the rod, when its material is either a mixture of Fe±Ni±W and W particles or a homogeneous alloy but no such bands form in rods made of either W or Fe±Ni±W only. This could be due to the dierent initial softening rates of the materials. # 1998 Elsevier Science Ltd. All rights reserved