LLukas22/scidocs huggingface dataset:
Benefit of glycoprotein IIb/IIIa inhibition in patients with acute coronary syndromes and troponin t-positive status: the paragon-B troponin T substudy.

BACKGROUND
Troponin T (TnT) is valuable for short- and long-term risk stratification of patients with acute coronary syndromes (ACS). It also may predict which ACS patients will benefit from glycoprotein (GP) IIb/IIIa blockade.


METHODS AND RESULTS
We prospectively studied 1160 patients with non-ST-segment elevation ACS randomized in PARAGON-B to receive lamifiban, an intravenous GP IIb/IIIa antagonist, or placebo. TnT levels were obtained before study treatment began and 24 to 72 hours later; assays were performed by a blinded core laboratory. At baseline, 40.2% of patients were TnT-positive (>/=0.1 ng/mL); these patients were older and more often male or smokers. Patients positive at baseline had a significantly higher rate of the primary end point (composite of death, myocardial [re]infarction, or severe recurrent ischemia at 30 days; odds ratio, 1.5; 95% CI, 1.1 to 2.1) than those who were TnT-negative. Lamifiban was associated with significant reduction in the primary end point (from 19.4% to 11.0%, P=0.01) among TnT-positive patients but not among TnT-negative patients (11.2% for placebo versus 10.8% for lamifiban, P=0.86; P=0.08 for test of interaction between TnT status and treatment assignment). This pattern held for the end points of death alone and death or myocardial (re)infarction at 30 days. Peak TnT level at 48 hours did not differ with lamifiban treatment.


CONCLUSIONS
TnT predicts poor short-term outcomes in non-ST-segment elevation ACS. Treatment benefit with lamifiban is limited almost exclusively to TnT-positive patients, reducing 30-day adverse outcomes to a rate nearly identical to that of negative patients.
Ontological semantics

ion Latin Caesar Caesar caesar, emperor English Bismarck Bismarck great statesman
Earthquake Assessment of R/C Structures with Masonry Infill Walls

The infill masonry walls are seldom included in numerical analysis of reinforced concrete structural systems, since masonry panels are generally considered as non-structural components. However, these panels affect the structural response, although the complexity they introduce to analysis, generally keep them unaccounted for.The typical construction type in Turkey is reinforced concrete structures with masonry infill walls. Therefore, it is crucial to understand the contribution of infill walls to earthquake response of these structures. In this study, a 3-story R/C frame structure with different amount of masonry infill walls is considered to investigate the affect of infill walls on earthquake response of these type of structures. The diagonal strut approach is adopted for modeling masonry infill walls. Pushover curves are obtained for the structures using nonlinear analyses option of commercial software SAP2000. Nonlinear analyses are realized to sketch pushover curves and results are presented in comparison and the effects of irregular configuration of masonry infill wall on the performance of the structure are studied. From the pushover curves, story displacements, relative story displacements, maximum plastic rotations are determined. Regarding with the analysis results, the effects of irregularities are determined in the structural behavior under earthquake.
One-Way Quantum Computer Simulation

In one-way quantum computation (1WQC) model, universal quantum computations are performed using measurements to designated qubits in a highly entangled state. The choices of bases for these measurements as well as the structure of the entanglements specify a quantum algorithm. As scalable and reliable quantum computers have not been implemented yet, quantum computation simulators are the only widely available tools to design and test quantum algorithms. However, simulating the quantum computations on a standard classical computer in most cases requires exponential memory and time. In this paper, a general direct simulator for 1WQC, called OWQS, is presented. Some techniques such as qubit elimination, pattern reordering and implicit simulation of actions are used to considerably reduce the time and memory needed for the simulations. Moreover, our simulator is adjusted to simulate the measurement patterns with a generalized flow without calculating the measurement probabilities which is called extended one-way quantum computation simulator (EOWQS). Experimental results validate the feasibility of the proposed simulators and that OWQS and EOWQS are faster as compared with the well-known quantum circuit simulators, i.e., QuIDDPro and libquantum for simulating 1WQC model. Keywords-Quantum Computing, 1WQC, Simulation
Emerging Positive Organizational Behavior

Although the value of positivity has been assumed over the years, only recently has it become a major focus area for theory building, research, and application in psychology and now organizational behavior. This review article examines, in turn, selected representative positive traits (Big Five personality, core self-evaluations, and character strengths and virtues), positive state-like psychological resource capacities (efficacy, hope, optimism, resiliency, and psychological capital), positive organizations (drawn from positive organization scholarship), and positive behaviors (organizational citizenship and courageous principled action). This review concludes with recommendations for future research and effective application.
Second-Generation Antipsychotics and Neuroleptic Malignant Syndrome: Systematic Review and Case Report Analysis

BACKGROUND
Neuroleptic malignant syndrome (NMS) is a rare, severe, idiosyncratic adverse reaction to antipsychotics. Second-generation antipsychotics (SGAs) were originally assumed to be free from the risk of causing NMS, however several cases of NMS induced by SGAs (SGA-NMS) have been reported.


OBJECTIVES
The aim of this study was to systematically review available studies and case reports on SGA-NMS and compare the presentation of NMS induced by different SGAs.


DATA SOURCES
Citations were retrieved from PubMed up to November 2013, and from reference lists of relevant citations.


STUDY ELIGIBILITY CRITERIA
Eligibility criteria included (a) primary studies reporting data on NMS, with at least 50 % of the sample receiving SGAs; or (b) case reports and case reviews reporting on NMS induced by SGA monotherapy, excluding those due to antipsychotic withdrawal.


STUDY APPRAISAL AND SYNTHESIS METHODS
A standardized method for data extraction and coding was developed for the analysis of eligible case reports.


RESULTS
Six primary studies and 186 individual cases of NMS induced by SGAs were included. Primary studies suggest that SGA-NMS is characterized by lower incidence, lower clinical severity, and less frequent lethal outcome than NMS induced by first-generation antipsychotics. Systematic analysis of case reports suggests that even the most recently marketed antipsychotics are not free from the risk of inducing NMS. Furthermore, clozapine-, aripiprazole- and amisulpride-induced NMS can present with atypical features more frequently than other SGA-NMS, i.e. displaying less intense extrapyramidal symptoms or high fever.


LIMITATIONS
Case reports report non-systematic data, therefore analyses may be subject to bias.


CONCLUSIONS AND IMPLICATIONS OF KEY FINDINGS
Clinicians should be aware that NMS is virtually associated with all antipsychotics, including those most recently marketed. Although apparently less severe than NMS induced by older antipsychotics, SGA-NMS still represent a relevant clinical issue.
Factors that influence cancer patients' anxiety following a medical consultation: impact of a communication skills training programme for physicians.

BACKGROUND
No study has yet assessed the impact of physicians' skills acquisition after a communication skills training programme on the evolution of patients' anxiety following a medical consultation. This study aimed to compare the impact, on patients' anxiety, of a basic communication skills training programme (BT) and the same programme consolidated by consolidation workshops (CW), and to investigate physicians' communication variables associated with patients' anxiety.


PATIENTS AND METHODS
Physicians, after attending the BT, were randomly assigned to CW or to a waiting list. The control group was not a non-intervention group. Consultations with a cancer patient were recorded. Patients' anxiety was assessed with the State Trait Anxiety Inventory before and after a consultation. Communication skills were analysed according to the Cancer Research Campaign Workshop Evaluation Manual.


RESULTS
No statistically significant change over time and between groups was observed. Mixed-effects modelling showed that a decrease in patients' anxiety was linked with screening questions (P = 0.045), physicians' satisfaction about support given (P = 0.004) and with patients' distress (P < 0.001). An increase in anxiety was linked with breaking bad news (P = 0.050) and with supportive skills (P = 0.013). No impact of the training programme was observed.


CONCLUSIONS
This study shows the influence of some communication skills on the evolution of patients' anxiety. Physicians should be aware of these influences.
Pore size, shape and connectivity in tills and their relationship to deformation processes

This paper describes how till bulk porosity and pore shape, size and connectivity relate to till deformation processes: Methods have been developed to examine till pores microscopically using thin section analysis, scanning electron microscopy (SEM) and X-ray computed micro tomography (pCT). Porosity is quantified using digital image analysis of thin section images from the petrographic microscope and SEM and from X-ray pCT. These methods were applied to a selection of Pleistocene tills with diverse properties. The micromorphological techniques have allowed porosity to be related to other till microstructures. Most of the microstructures examined, including the pores, have been interpreted to be indicative of either plastic or brittle subglacial deformation and the type and extent of till deformation has been interpreted to affect bulk porosity, pore type and pore connectivity.
Ovarian Cancer Metastatic to the Breast Presenting as Inflammatory Breast Cancer: A Case Report and Literature Review

Background. Primary ovarian carcinoma with metastasis to the breast is rare, with only 39 cases reported in the current literature. Ovarian metastasis to the breast presenting as inflammatory breast carcinoma is even more infrequent, with only 6 cases reported.Case. We present a patient who developed metastatic inflammatory cancer of the breast from a stage IIIC papillary serous ovarian adenocarcinoma approximately 1 year after the original diagnosis. Pathologic analysis confirmed the origin of the tumor: a high-grade adenocarcinoma morphologically similar to the previously diagnosed ovarian cancer. In addition, the tumor was strongly positive on immunohistochemistry for CA-125, identical to the ovarian primary. The patient died of diffuse metastasis 5 months after the breast tumor was noted.Conclusion. Although ovarian metastasis to the breast presenting as inflammatory breast cancer is rare, it should be included in the differential diagnosis for any patient with a personal history of ovarian cancer. Accurate differentiation is necessary because treatment differs significantly for patients with ovarian metastasis to the breast, as compared with patients with primary inflammatory breast cancer. Ovarian metastasis to the breast confers a poor prognosis: patient survival ranged from 3 to 18 months, with a median survival of 6 months after the diagnosis of the breast metastasis.
Artificial Intelligence to Win the Nobel Prize and Beyond: Creating the Engine for Scientific Discovery

artificial intelligence can deliver? What pushes the human race forward? Our civilization has advanced largely by scientific discoveries and the application of such knowledge. Therefore, I propose the launch of a grand challenge to develop AI systems that can make significant scientific discoveries. As a field with great potential social impacts, and one that suffers particularly from information overflow, along with the limitations of human cognition, I believe that the initial focus of this challenge should be on biomedical sciences, but it can be applied to other areas later. The challenge is “to develop an AI system that can make major scientific discoveries in biomedical sciences and that is worthy of a Nobel Prize and far beyond.” While recent progress in high-throughput “omics” measurement technologies has enabled us to generate vast quantities of data, scientific discoveries themselves still depend heavily upon individual intuition, while researchers are often overwhelmed by the sheer amount of data, as well as by the complexity of the biological phenomena they are seeking to understand. Even now, scientific discovery remains something akin to a cottage industry, but a great transformation seems to have begun. This is an ideal domain and the ideal timing for AI to make a difference. I anticipate that, in the near future, AI systems will make a succession of discoveries that have immediate medical implications, saving millions of lives, and totally changing the fate of the human race. Articles
Risk factors for criminal recidivism – a prospective follow-up study in prisoners with substance abuse

BACKGROUND
Substance use in general has been shown to predict criminal recidivism. The present study aimed to examine potential predictors of criminal recidivism, including substance-specific substance use patterns, in prisoners with substance use.


METHODS
A cohort of prisoners with substance use problems (N = 4,152) were assessed with the Addiction Severity Index (ASI) in the Swedish criminal justice system. Clients were followed for an average of 2.7 years. Criminal recidivism was defined as any return to the criminal justice system.


RESULTS
During follow-up, 69 percent (n = 2,862) returned to the criminal justice system. Recidivism was associated with amphetamine and heroin use, with an additive risk for injectors, and with polysubstance use. Also, recidivism was negatively associated with alcohol, other opioids than heroin/methadone and with hallucinogenic drugs, and positively associated with previous psychiatric in-patient treatment, violent behaviour, and with a shorter index sentence. Associations remained when controlling for type of crime.


CONCLUSIONS
Even when controlling for type and severity of crime, and for psychiatric problems, risk of criminal relapse was increased by substance use variables, including amphetamine, heroin and polysubstance use, and an additional risk was shown for injection drug users. These findings have implications for the need for substance abuse treatment after release from prison.
Ink-Jet Printed Nanoparticle Microelectromechanical Systems

We report a method to additively build threedimensional (3-D) microelectromechanical systems (MEMS) and electrical circuitry by ink-jet printing nanoparticle metal colloids. Fabricating metallic structures from nanoparticles avoids the extreme processing conditions required for standard lithographic fabrication and molten-metal-droplet deposition. Nanoparticles typically measure 1 to 100 nm in diameter and can be sintered at plastic-compatible temperatures as low as 300 C to form material nearly indistinguishable from the bulk material. Multiple ink-jet print heads mounted to a computer-controlled 3-axis gantry deposit the 10% by weight metal colloid ink layer-by-layer onto a heated substrate to make two-dimensional (2-D) and 3-D structures. We report a high-Q resonant inductive coil, linear and rotary electrostatic-drive motors, and in-plane and vertical electrothermal actuators. The devices, printed in minutes with a 100 m feature size, were made out of silver and gold material with high conductivity,and feature as many as 400 layers, insulators, 10 : 1 vertical aspect ratios, and etch-released mechanical structure. These results suggest a route to a desktop or large-area MEMS fabrication system characterized by many layers, low cost, and data-driven fabrication for rapid turn-around time, and represent the first use of ink-jet printing to build active MEMS. [657]
The language of emotions : conceptualization, expression, and theoretical foundation

1. Introduction (by Niemeier, Susanne) 2. I. Theoretical issues in the analysis of emotion 3. Is the "psychologic" of trust universal? (by Smedslund, Jan) 4. The expressive function of language: Towards a cognitive semantic approach (by Foolen, Ad) 5. Toward a semiotic theory of affect (by Oller, Jr., John W.) 6. Emotions as cause and the cause of emotions (by Dirven, Rene) 7. II. The conceptualization of emotions in specific cultures 8. Dholuo emotional language: An overview (by Omondi, Lucia) 9. The prepositions we use in the construal of emotions: Why do we say fed up with by sick and tired of? (by Osmond, Meredith) 10. Space, reference, and emotional involvement (by Inchaurralde Besga, Carlos) 11. Surprise, surprise: The iconicity-conventionality scale of emotions (by Kryk-Kastovsky, Barbara) 12. III. Developmental approaches to emotions 13. The acquisition of verbal expressions for internal states in German: A descriptive, explorative, longitudinal study (by Kauschke, Christina) 14. On the usage of emotional language: A developmental view of the tip of an iceberg (by Bodor, Peter) 15. Emotion talk(s): The role of perspective in the construction of emotions (by Bamberg, Michael) 16. A response to Michael Bamberg (by Wierzbicka, Anna) 17. IV. Emotions in discourse 18. French interjections and their use in discourse: ah dis donc les vieux souvenirs (by Drescher, Martina) 19. The contextualization of affect in reported dialogues (by Gunthner, Susanne) 20. Nonverbal expression of emotions in a business negotiation (by Niemeier, Susanne) 21. Emotions and emotional language in English and German new stories (by Ungerer, Friedrich) 22. Subject Index
Feed intake and utilization in sheep fed graded levels of dried moringa (Moringa stenopetala) leaf as a supplement to Rhodes grass hay

The effects of feeding graded levels of dried moringa (Moringa stenopetala) leaf on intake, body weight gain (BWG), digestibility and nitrogen utilization were studied using male sheep (BW of 13.8 ± 0.12 kg). Six sheep were randomly allocated to each of the four treatment diets: Rhodes grass (Chloris gayana) hay offered ad libitum (T1), hay + 150 g moringa leaf (T2), hay + 300 g moringa leaf (T3), hay + 450 g moringa leaf (T4) were offered daily. A 7-day digestibility trial and an 84-day growth experiments were conducted. Dry matter (DM), organic matter (OM) and crude protein (CP) intakes increased (P < 0.05) with increasing levels of moringa leaf in the diets. Sheep fed T2, T3 and T4 diets gained (P < 0.05) 40.2, 79.1 and 110.1 g/head/day, respectively, while the control group (T1) lost weight (−13.3 g/head/day). The apparent digestibilities of DM, OM, neutral detergent fibre and acid detergent fibre were similar (P > 0.05) among treatments. The digestibility of dietary CP increased (P < 0.05) with increasing levels of moringa leaf, but there was no significant difference between T2 and T3 diets. The nitrogen (N) intake and urinary N excretion increased (P < 0.05) with increasing levels of moringa leaf. The N retention was highest (P < 0.05) for 450 g moringa leaf supplementation. The control group was in a negative N balance. Supplementing a basal diet of Rhodes grass hay with dried moringa leaves improved DM intake, BWG and N retention. It is concluded that M. stenopetala can serve as a protein supplement to low-quality grass during the dry season under smallholder sheep production system.
Modeling the Effects of Electromechanical Coupling on Energy Storage Through Piezoelectric Energy Harvesting

This paper focuses on comparing the effects of varying degrees of electromechanical coupling in piezoelectric power harvesting systems on the dynamics of charging a storage capacitor. In order to gain an understanding of the behavior of these dynamics, a transducer whose vibrational dynamics are impacted very little by electrical energy extraction is compared to a transducer that displays strong electromechanical coupling. Both transducers are cantilevered piezoelectric beams undergoing base excitation whose harvested electrical energy is used to charge a storage capacitor. The transient dynamics of the coupled system are studied in detail with an emphasis on their charging power curves and the time to charge the storage capacitor to a specified voltage. An analytic model for the system is derived that takes into consideration the reduction in vibration amplitude of the beam caused by the removal of electrical energy. Although this model makes the typical assumption that the beam is vibrating at its open-circuit resonance, it is shown to predict the charging behavior of the system accurately when compared to experimental results and a complete, nonlinear simulation without this simplification. Finally, the simplifications and discrepancies created by several types of modeling assumptions for a highly coupled energy harvesting system are discussed.
Posttraumatic growth, social acknowledgment as survivors, and sense of coherence in former German child soldiers of World War II.

OBJECTIVES
To examine posttraumatic growth (PTG) and its predictors social acknowledgment as survivors, sense of coherence (SOC), trauma severity, and further factors in former child soldiers more than 60 years after deployment.


DESIGN
Cross-sectional.


SETTING
University-based geropsychiatric center in Germany.


PARTICIPANTS
One hundred three former German child soldiers of World War II, mean age 78 years in which 96% experienced at least one war trauma.


MEASUREMENT
Subjects completed the Posttraumatic Growth Inventory, Social Acknowledgment Questionnaire (SAQ), and SOC Scale. Trauma exposure and posttraumatic stress disorder (PTSD) symptoms were assessed by the Posttraumatic Diagnostic Scale. Depression, anxiety, and somatization were assessed using the Brief Symptom Inventory.


RESULTS
Number of traumas, recognition by significant others, and general disapproval as facets of social acknowledgment as a survivor, and meaningfulness as a dimension of SOC correlated significantly with PTG. In a multiple hierarchical regression analysis, recognition as a survivor by significant others (SAQ) and meaningfulness (SOC) remained the only significant predictors of PTG.


CONCLUSION
Social acknowledgment as a survivor by significant others and the belief that the world is meaningful are among the most important factors contributing to PTG. Further research should investigate whether treatments of PTSD in people who experienced war traumas recently or many years ago might benefit from a focus on the belief system and the role of family and social support.
Enhanced Binary Search with Time-Divided Responses for Efficient RFID Tag Anti-Collision

RFID is a generic term for technologies which use RF waves to identify, track, or categorize any object. One of the research areas in RFID systems is a tag anti-collision protocol; how to reduce identification time with a given number of tags in the field of an RFID reader. There are two types of tag anti-collision protocols for RFID systems: tree based algorithms and slotted aloha based algorithms. Since the tree based tag anti-collision protocols achieve 100% read rate, we consider how to improve the performances of the tree based RFID tag anti- collision protocols. This paper proposes bi-slotted tree based tag anti-collision protocols, bi-slotted query tree algorithm (BSQTA) and bi-slotted collision tracking tree algorithm (BSCTTA), which reduce both prefix overhead and iteration overhead by time divided responses depending on whether the collided bit is '0' or '1'. According to the simulation results, the bi-slotted tree based RFID tag anti-collision protocols require less time consumption for tag identification than the present tag anti-collision protocols.