LLukas22/scidocs huggingface dataset:
EEM-LEACH: Energy efficient multi-hop LEACH routing protocol for clustered WSNs

Recent technological advances in communication sector have resulted in the development and improvement of wireless sensor networks consisting of low cost, low power and smaller multi-functional sensor units. Limited battery life of sensor nodes is one of the critical issues in wireless sensor networks. Energy dissipation for data transfer from nodes to base station is the crucial cause of energy depletion. A wide variety of routing protocols were introduced to increase the lifespan of the network and the most efficient scheme is clustering of nodes within the network that works on the principle of divide & conquer and data aggregation. This paper proposes an energy efficient routing protocol EEM-LEACH that discovers a multi-hop path with minimum communication cost from each node to the base station. If the communication cost for direct data transfer is minimum, nodes close to the base station can send data directly to the base station thereby preventing them from dying soon. Only nodes with maximum residual energy and minimum energy consumption can become cluster heads since each node's residual energy as well as average energy consumption is considered for the selection of cluster heads. No global information is needed because cluster formation and multi-hop path selection are distributed. As communication cost per packet is minimized and relay nodes have more residual energy, the network lifetime can be improved.
Novel Table Lookup-Based Algorithms for High-Performance CRC Generation

A framework for designing a family of novel fast cyclic redundancy code (CRC) generation algorithms is presented. Our algorithms can ideally read arbitrarily large amounts of data at a time, while optimizing their memory requirement to meet the constraints of specific computer architectures. In addition, our algorithms can be implemented in software using commodity processors instead of specialized parallel circuits. We use this framework to design two efficient algorithms that run in the popular Intel IA32 processor architecture. First, a "slicing-by-4" algorithm doubles the performance of existing software-based table-driven CRC implementations based on the Sarwate [12] algorithm while using a 4-Kbyte cache footprint. Second, a "slicing-by-8" algorithm triples the performance of existing software-based CRC implementations while using an 8-Kbyte cache footprint. Whereas well-known software-based CRC implementations compute the current CRC value from a bitstream reading 8 bits at a time, our algorithms read 32 and 64 bits at a time, respectively (this is an extended version of a paper that appeared at the 10th IEEE International Symposium on Computers and Communications (ISCC '05) in Cartagena, Spain, in June 2005). The slicing-by-8 source code is freely available for experimentation and can be found at http://sourceforge.net/projects/slicing-by-8.
Physical activity and ocular perfusion pressure: the EPIC-Norfolk eye study.

PURPOSE
To examine the relationship between physical activity and ocular perfusion pressure (OPP), a consistent risk factor for glaucoma.


METHODS
The relationship between previous physical activity and current OPP in 5650 participants aged 48 to 90 who attended the first (1993-1997) and third (2006-2010) health check as part of the European Prospective Investigation into Cancer (EPIC)-Norfolk study was examined. Usual combined physical activity at work and leisure was assessed using a validated instrument. Individuals were categorized as inactive, moderately inactive, moderately active, or active. Three IOP measurements were obtained (Ocular Response Analyzer [ORA]; Reichert, Inc., Depew, NY). Mean Goldmann correlated IOP (IOPg) from one eye was used in the analysis. Systolic and diastolic blood pressure (BP) were recorded as the mean of two measurements taken with a sphygmomanometer. Associations between physical activity and low (≤40 mm Hg) mean OPP (2/3 mean arterial pressure - IOP) and low (≤50 mm Hg) diastolic OPP (diastolic BP - IOP) were tested using logistic regression, adjusting for age, sex, body mass index, social class, IOP, and BP.


RESULTS
Active people had a lower risk of mean OPP ≤ 40 mm Hg and diastolic OPP ≤ 50 mm Hg after adjusting for age, sex, social class, and body mass index (odds ratio, 0.75; 95% confidence interval [CI], 0.60-0.93; P < 0.01) and (odds ratio, 0.73, 95% CI, 0.58-0.93; P = 0.01), respectively. The association between physical activity and perfusion pressure was independent of IOP, but largely mediated through diastolic BP.


CONCLUSIONS
Lower levels of physical activity were associated with lower OPP. Further research is needed to investigate the potential benefit of increased physical activity as a safe and simple method of modifying glaucoma risk.
Query expansion via conceptual distance in thesaurus indexed collections

Purpose – The purpose of this paper is to explore query expansion via conceptual distance in thesaurus indexed collections Design/methodology/approach – An extract of the National Museum of Science and Industry’s collections database, indexed with the Getty Art and Architecture Thesaurus (AAT), was the dataset for the research. The system architecture and algorithms for semantic closeness and the matching function are outlined. Standalone and web interfaces are described and formative qualitative user studies are discussed. One user session is discussed in detail, together with a scenario based on a related public inquiry. Findings are set in context of the literature on thesaurus-based query expansion. This paper discusses the potential of query expansion techniques using the semantic relationships in a faceted thesaurus. Findings – Thesaurus-assisted retrieval systems have potential for multi-concept descriptors, permitting very precise queries and indexing. However, indexer and searcher may differ in terminology judgments and there may not be any exactly matching results. The integration of semantic closeness in the matching function permits ranked results for multi-concept queries in thesaurus-indexed applications. An in-memory representation of the thesaurus semantic network allows a combination of automatic and interactive control of expansion and control of expansion on individual query terms. Originality/value – The application of semantic expansion to browsing may be useful in interface options where thesaurus structure is hidden.
Flywheel charging module for energy storage used in electromagnetic aircraft launch system

Optimal Energy Systems (OES) is currently designing and manufacturing flywheel based energy storage systems that are being used to provide pulses of energy for charging high voltage capacitors in a mobile military system. These systems receive their energy from low voltage vehicle bus power (<480 VDC) and provide output power at over 10 000 VDC without the need for dc-dc voltage conversion electronics. This energy conversion is accomplished through the use of OES patented ultra high-speed flywheel power module (FPoM) technology. Adaptation of the OES FPoM technology to energy storage for electromagnetic aircraft launch system (EMALS) applications is described. Physical system design parameters are summarized for the FPoM. Transient PSPICE electrical and MSC/Nastran FEA thermal analyses characterize operation and response in a conceptual EMALS energy storage environment.
Development of QSAR-Improved Statistical Potential for the Structure-Based Analysis of ProteinPeptide Binding Affinities.

Proteinpeptide interactions have recently been found to play an essential role in constructing intracellular signaling networks. Understanding the molecular mechanism of such interactions and identification of the interacting partners would be of great value for developing peptide therapeutics against many severe diseases such as cancer. In this study, we describe a structure-based, general-purpose strategy for fast and reliably predicting proteinpeptide binding affinities. This strategy combines unsupervised knowledge-based statistical potential derived from 505 interfacially diverse, non-redundant proteinpeptide complex structures and supervised quantitative structure-activity relationship (QSAR) modeling trained by 250 proteinpeptide interactions with known structure and affinity data. The built partial least squares (PLS) model is confirmed to have high stability and predictive power by using internal 5-fold cross-validation and rigorous Monte Carlo cross-validation (MCCV). The model is further employed to analyze two large groups of HLA- and SH3-binding peptides based upon computationally modeled structures. Satisfactorily, although the PLS model is originally trained with dissociation constants (Kd ) of proteinpeptide binding, it shows a good correlation with other two affinity qualities, i.e. SPOT signal intensities (BLU) and half maximal competitive concentrations (IC50 ). Furthermore, we perform systematic comparisons of our method with several widely used, representative affinity predictors, including molecular mechanics-based MM-PB/SA, knowledge-based DFIRE and docking score HADDOCK, on a small panel of elaborately selected proteinpeptide systems. It is demonstrated that (i) the QSAR-improved statistical potential exhibits a comparable predictive performance with but can work faster than these traditional methods, and (ii) the crystal structure-derived statistical potential also supports the modeled and solution structures of proteinpeptide complexes. We expect that this hybrid method can be exploited as a new scoring tool to facilitate, for example, peptide docking and virtual screening.
A case study of the in-class use of a video game for teaching high school history

This study examines the case of a sophomore high school history class where Making History, a video game designed with educational purposes in mind, is used in the classroom to teach about World War II. Data was gathered using observation, focus group and individual interviews, and document analysis. The high school was a rural school located in a small town in the Midwestern United States. The teacher had been teaching with the game for several years and spent one school week teaching World War II, with students playing the game in class for three days of that week. The purpose of this study was to understand teacher and student experiences with and perspectives on the in-class use of an educational video game. Results showed that the use of the video game resulted in a shift from a traditional teachercentered learning environment to a student-centered environment where the students were much more active and engaged. Also, the teacher had evolved implementation strategies based on his past experiences using the game to maximize the focus on learning. 2010 Elsevier Ltd. All rights reserved.
Unconscious Emotion

Conscious feelings have traditionally been viewed as a central and necessary ingredient of emotion. Here we argue that emotion also can be genuinely unconscious. We describe evidence that positive and negative reactions can be elicited subliminally and remain inaccessible to introspection. Despite the absence of subjective feelings in such cases, subliminally induced affective reactions still influence people’s preference judgments and even the amount of beverage they consume. This evidence is consistent with evolutionary considerations suggesting that systems underlying basic affective reactions originated prior to systems for conscious awareness. The idea of unconscious emotion is also supported by evidence from affective neuroscience indicating that subcortical brain systems underlie basic ‘‘liking’’ reactions. More research is needed to clarify the relations and differences between conscious and unconscious emotion, and their underlying mechanisms. However, even under the current state of knowledge, it appears that processes underlying conscious feelings can become decoupled from processes underlying emotional reactions, resulting in genuinely unconscious emotion. KEYWORDS—affect; automaticity; consciousness; emotion; neuroscience To say that people are conscious of their own emotions sounds like a truism. After all, emotions are feelings, so how could one have feelings that are not felt? Of course, people sometimes may be mistaken about the cause of their emotion or may not know why they feel a particular emotion, as when they feel anxious for what seems no particular reason. On occasion, people may even incorrectly construe their own emotional state, as when they angrily deny that they are angry. But many psychologists presume that the emotion itself is intrinsically conscious, and that with proper motivation and attention, it can be brought into the full light of awareness. So, at least, goes the traditional view. Our view goes a bit further. We suggest that under some conditions an emotional process may remain entirely unconscious, even when the person is attentive and motivated to describe his or her feelings correctly (Berridge & Winkielman, 2003; Winkielman, Berridge, & Wilbarger, in press). Such an emotional process may nevertheless drive the person’s behavior and physiological reactions, even while remaining inaccessible to conscious awareness. In short, we propose the existence of genuinely unconscious emotions. THE TRADITIONAL VIEW: EMOTION AS A CONSCIOUS
Are we targeting the right metric for heart failure? Comparison of hospital 30-day readmission rates and total episode of care inpatient days.

BACKGROUND
Hospitals are challenged to reduce length of stay (LOS), yet simultaneously reduce readmissions for patients with heart failure (HF). This study investigates whether 30-day rehospitalization or an alternative measure of total inpatient days over an episode of care (EOC) is the best indicator of resource use, HF quality, and outcomes.


METHODS
Using data from the American Heart Association's Get With The Guidelines-Heart Failure Registry linked to Medicare claims, we ranked and compared hospitals by LOS, 30-day readmission rate, and overall EOC metric, defined as all hospital days for an HF admission and any subsequent admissions within 30 days. We divided hospitals into quartiles by 30-day EOC and 30-day readmission rates. We compared performance by EOC and readmission rate quartiles with respect to quality of care indicators and 30-day postdischarge mortality.


RESULTS
The population had a mean age of 80 ± 7.95 years, 45% were male, and 82% were white. Hospital-level unadjusted median index LOS and overall EOC were 4.9 (4.2-5.6) and 6.2 (5.3-7.4) days, respectively. Median 30-day readmission rate was 23.2%. Hospital HF readmission rate was not associated with initial hospital LOS, only slightly associated with total EOC rank (r = 0.26, P = .001), and inversely related to HF performance measures. After adjustment, there was no association between 30-day readmission and decreased 30-day mortality. In contrast, better performance on the EOC metric was associated with decreased odds of 30-day mortality.


CONCLUSIONS
Although hospital 30-day readmission rate was poorly correlated with LOS, quality measures, and 30-day mortality, better performance on the EOC metric was associated with better 30-day survival. Total inpatient days during a 30-day EOC may more accurately reflect overall resource use and better serve as a target for quality improvement efforts.
1 IMAGE PROCESSING TECHNIQUES FOR MACHINE VISION

Image Processing Algorithms are the basis for Image Computer Analysis and Machine Vision. Employing a theoretical foundation – Image Algebra – and powerful development tools – Visual C++, Visual Fortran, Visual Basic, and Visual Java – high-level and efficient Computer Vision Techniques have been developed. This paper analyzes different Image Processing Algorithms by classifying them in logical groups. In addition, specific methods are presented illustrating the application of such techniques to the real-world images. In most cases more than one method is used. This allows a basis for comparison of different methods as advantageous features as well as negative characteristics of each technique is delineated.
Evaluation of a Behavioral Mobile Phone App Intervention for the Self-Management of Type 2 Diabetes: Randomized Controlled Trial Protocol

BACKGROUND
Patients with type 2 diabetes mellitus (T2DM) struggle with the management of their condition due to difficulty relating lifestyle behaviors with glycemic control. While self-monitoring of blood glucose (SMBG) has proven to be effective for those treated with insulin, it has been shown to be less beneficial for those only treated with oral medications or lifestyle modification. We hypothesized that the effective self-management of non-insulin treated T2DM requires a behavioral intervention that empowers patients with the ability to self-monitor, understand the impact of lifestyle behaviors on glycemic control, and adjust their self-care based on contextualized SMBG data.


OBJECTIVE
The primary objective of this randomized controlled trial (RCT) is to determine the impact of bant2, an evidence-based, patient-centered, behavioral mobile app intervention, on the self-management of T2DM. Our second postulation is that automated feedback delivered through the mobile app will be as effective, less resource intensive, and more scalable than interventions involving additional health care provider feedback.


METHODS
This study is a 12-month, prospective, multicenter RCT in which 150 participants will be randomly assigned to one of two groups: the control group will receive current standard of care, and the intervention group will receive the mobile phone app system in addition to standard of care. The primary outcome measure is change in glycated hemoglobin A1c from baseline to 12 months.


RESULTS
The first patient was enrolled on July 28, 2015, and we anticipate completing this study by September, 2018.


CONCLUSIONS
This RCT is one of the first to evaluate an evidence-based mobile app that focuses on facilitating lifestyle behavior change driven by contextualized and structured SMBG. The results of this trial will provide insights regarding the usage of mobile tools and consumer-grade devices for diabetes self-care, the economic model of using incentives to motivate behavior change, and the consumption of test strips when following a rigorously structured approach for SMBG.


TRIAL REGISTRATION
ClinicalTrials.gov NCT02370719; https://clinicaltrials.gov/ct2/show/NCT02370719 (Archived at http://www.webcitation.org/6jpyjfVRs).
Specifications and Design of a PM Electric Variable Transmission for Toyota Prius II

This paper focuses on an analysis of technical requirements for the design of a permanent-magnet-type electric variable transmission (PM-EVT), which is a novel series-parallel hybrid electric vehicle (HEV) powertrain concept. Similar to the planetary gear train used in Toyota Prius II, the EVT also realizes the power-split function. However, it is implemented in an electromagnetic way rather than in a mechanical way, as is the case for Prius II with a planetary gear. In this paper, a procedure to define the technical requirements of an EVT is presented. Since Toyota Prius II is a well-known series-parallel HEV, this vehicle is chosen as a reference. The engine, battery, and other necessary components are kept as input data. A dynamic simulation was performed to take into account different driving cycles. Then, based on an analysis of the simulation results (torque, speed, and power) the technical requirements of the PM-EVT are defined. Finally, the PM-EVT machine is designed. The PM-EVT design results are presented and validated using the finite-element method (FEM).
An evolutional optimization algorithm to provide individual illuminance in workplaces

We are doing research and development of an intelligent lighting system to provide individual illuminance in workspace. In the intelligent lighting system, the algorithm which controls lighting fixtures is important. In this research, we examine how to grasp the factor of influence on illuminance sensors for lighting, and we propose a lighting control algorithm which estimates precisely the factor of influence on illuminance sensors for lighting by using the regression analysis. We show the effectiveness of such an algorithm. We show also the effectiveness of the algorithm in an actual workspace.
Intimate partner relationship distress in the DSM-5.

Over the past 40 years, a large body of literature has documented intimate partner relationship distress as a primary reason for seeking mental health services as well as an integral factor in the prognosis and treatment of a range of mental and physical health conditions. In recognition of its relevance to clinical care, the description of intimate partner relationship distress has been expanded in the DSM-5. Nonetheless, this is irrelevant if the DSM-5 code for intimate partner relationship distress is not reliably used in clinical practice and research settings. Thus, with the goal of dissemination in mind, the purpose of this paper was to provide clinicians and researchers with specific guidelines on how to reliably assess intimate partner relationship distress and how this information can be used to inform treatment planning. In addition to the implications for direct clinical care, we discuss the importance of reliable assessment and documentation of intimate partner relationship distress for future progress in epidemiology, etiology, and public health research.
Avaliação de clones de Eucalyptus para produção de carvão vegetal

Charcoal is economically representative in the Brazilian economy, specially in Minas Gerais, the main producer, and consumer of this product. A problem related to the charcoal utilization is its heterogeneous quality, which is influenced both for the wood and the production process. This variability causes waste of material and make it difficult to handle the blast furnaces. The objective of this work was to evaluate the wood of ten clones: seven of Eucalyptus grandis and three of Eucalyptus saligna: both directed to charcoal production. Also, it was looked for to select clones with higher 1 Professores do Departamento de Ciências Florestais da UFLA, Caixa Postal 37, 37200-000 – Lavras – MG. Avaliação de clones de Eucalyptus para produção de carvão vegetal. 105 2 Engenheira Florestal. capacity for the establishment of a forestry improvement program. During the assessment it was considered the quantitative and qualitative characteristics of the charcoal. According to the results it was verified that there exists a large variation among the assessed clones, which is higher in Eucalyptus grandis. The production of dry mass, associated to the estimation of mass of both lignin and charcoal proportionate a classification of the clones considered as the superior (clones number five, six and two), median (clones number ten, three, one and eight) and inferior (clones number nine, four and seven). Clone seven was the worsen for the charcoal production due to its low growth rate. The classification of the clones based on both the wood chemical characteristics and charcoal yield was not satisfactory. The growth rate was fundamental for the clones classification, being recommendable to incorporate it in future assessment of wood quality. Eucalyptus grandis clones were superior to Eucalyptus saligna clones.