LLukas22/scidocs huggingface dataset:
The effects of low-intensity resistance training with vascular restriction on leg muscle strength in older men

The purpose of this study was to investigate and compare the effects of two types of resistance training protocols on the adaptation of skeletal muscle strength in older men. Thirty-seven healthy male subjects (50–64 years) participated in this study. Subjects were assigned to one of three groups: high-intensity (80% 1-RM) resistance training (RT80); low-intensity (20% 1-RM) resistance training with vascular restriction (VR-RT20); and a control group (CON) that performed no exercise. Subjects in both exercise groups performed three upper body (at 80% 1-RM) and two lower body exercises either with (20% 1-RM) or without (80% 1-RM) vascular restriction three times a week for 6 weeks. As expected, the RT80 and VR-RT20 groups had significantly (p < 0.01) greater strength increases in all upper body and leg press exercises compared with CON, however, absolute strength gains for the RT80 and VR-RT20 groups were similar (p > 0.05). It should be noted that the percentage increase in leg extension strength for the RT80 group was significantly greater than that for both the VR-RT20 (p < 0.05) and CON groups (p < 0.01), while the percentage increase in leg extension strength for the VR-RT20 group was significantly (p < 0.01) greater than that for the CON. The findings suggested that leg muscle strength improves with the low-load vascular restriction training and the VR-RT20 training protocol was almost as effective as the RT80 training protocol for increasing muscular strength in older men.
Leadership style and organizational learning : the mediate effect of school vision

Purpose – Fundamentally, the success of schools depends on first-rate school leadership, on leaders reinforcing the teachers’ willingness to adhere to the school’s vision, creating a sense of purpose, binding them together and encouraging them to engage in continuous learning. Leadership, vision and organizational learning are considered to be the key to school improvement. However, systematic empirical evidence of a direct relationship between leadership, vision and organizational learning is limited. The present study aims to explore the influence of principals’ leadership style on school organizational learning, using school vision as a mediator. Design/methodology/approach – The data were collected from 1,474 teachers at 104 elementary schools in northern Israel, and aggregated to the school level. Findings – Mediating regression analysis demonstrated that the school vision was a significant predictor of school organizational learning and functioned as a partial mediator only between principals’ transformational leadership style and school organizational learning. Moreover, the principals’ transformational leadership style predicted school organizational vision and school organizational learning processes. In other words, school vision, as shaped by the principal and the staff, is a powerful motivator of the process of organizational learning in school. Research implications/limitations – The research results have implications for the guidance of leadership practice, training, appraisal and professional development. Originality/value – The paper explores the centrality of school vision and its effects on the achievement of the school’s aims by means of organizational learning processes.
Accurate floating-point summation

This paper describes an alternate method for summing a set of floating-point numbers. Comparison of the error bound for this method with that of the standard summation method shows that it is considerably less sensitive to propagation of round-off error.
Feasibility of Azacitidine Added to Standard Chemotherapy in Older Patients with Acute Myeloid Leukemia — A Randomised SAL Pilot Study

INTRODUCTION
Older patients with acute myeloid leukemia (AML) experience short survival despite intensive chemotherapy. Azacitidine has promising activity in patients with low proliferating AML. The aim of this dose-finding part of this trial was to evaluate feasibility and safety of azacitidine combined with a cytarabine- and daunorubicin-based chemotherapy in older patients with AML.


TRIAL DESIGN
Prospective, randomised, open, phase II trial with parallel group design and fixed sample size.


PATIENTS AND METHODS
Patients aged 61 years or older, with untreated acute myeloid leukemia with a leukocyte count of <20,000/µl at the time of study entry and adequate organ function were eligible. Patients were randomised to receive azacitidine either 37.5 (dose level 1) or 75 mg/sqm (dose level 2) for five days before each cycle of induction (7+3 cytarabine plus daunorubicine) and consolidation (intermediate-dose cytarabine) therapy. Dose-limiting toxicity was the primary endpoint.


RESULTS
Six patients each were randomised into each dose level and evaluable for analysis. No dose-limiting toxicity occurred in either dose level. Nine serious adverse events occurred in five patients (three in the 37.5 mg, two in the 75 mg arm) with two fatal outcomes. Two patients at the 37.5 mg/sqm dose level and four patients at the 75 mg/sqm level achieved a complete remission after induction therapy. Median overall survival was 266 days and median event-free survival 215 days after a median follow up of 616 days.


CONCLUSIONS
The combination of azacitidine 75 mg/sqm with standard induction therapy is feasible in older patients with AML and was selected as an investigational arm in the randomised controlled part of this phase-II study, which is currently halted due to an increased cardiac toxicity observed in the experimental arm.


TRIAL REGISTRATION
This trial is registered at clinical trials.gov (identifier: NCT00915252).
An Analysis on Density Based Clustering of Multi Dimensional Spatial Data

Mining knowledge from large amounts of spatial data is known as spatial data mining. It becomes a highly demanding field because huge amounts of spatial data have been collected in various applications ranging from geo-spatial data to bio-medical knowledge. The amount of spatial data being collected is increasing exponentially. So, it far exceeded human’s ability to analyze. Recently, clustering has been recognized as a primary data mining method for knowledge discovery in spatial database. The development of clustering algorithms has received a lot of attention in the last few years and new clustering algorithms are proposed. DBSCAN is a pioneer density based clustering algorithm. It can find out the clusters of different shapes and sizes from the large amount of data containing noise and outliers. This paper shows the results of analyzing the properties of density based clustering characteristics of three clustering algorithms namely DBSCAN, k-means and SOM using synthetic two dimensional spatial data sets.
Fuzzy AHP-based multicriteria decision making systems using particle swarm optimization

This paper presents a fuzzy optimization model to solve multicriteria decision making (MCDM) systems based on a fuzzy analytic hierarchy process (fuzzy AHP). To deal with the imprecise judgments of decision makers, a fuzzy AHP decision making model is proposed as an evaluation tool, where the expert’s comparison judgments are translated into fuzzy numbers. Unlike the conventional fuzzy AHP methods, the proposed method drives exact weights from consistent and inconsistent fuzzy comparison matrices, which eliminate the need of additional aggregation and ranking procedures. The proposed method transforms a fuzzy prioritization problem into a constrained nonlinear optimization model. An improved particle swarm optimization (PSO) is applied to solve the optimization model as a nonlinear system of equations. Several illustrative examples using existing fuzzy AHP methods are given to demonstrate the effectiveness of the proposed method. 2011 Elsevier Ltd. All rights reserved.
0.6–3-GHz Wideband Receiver RF Front-End With a Feedforward Noise and Distortion Cancellation Resistive-Feedback LNA

A novel wideband receiver RF front-end, including a resistive negative feedback wideband low-noise amplifier (LNA) with feedforward noise and distortion cancellation and a current commutating down conversion passive mixer with biquad trans-impedance amplifier, is presented in this paper. In comparison to conventional resistive negative feedback LNAs, theory analysis and experimental results for the proposed LNA circuit shows improved performance parameters, including voltage gain, noise figure (NF), and input-referred third-order intercept point (IIP3), especially helpful for wideband LNA design in modern deep-submicrometer CMOS. A wideband receiver RF front-end fabricated in 0.13-μm CMOS, based on the proposed feedforward noise and distortion-cancellation resistive-feedback LNA, has 42-48-dB conversion gain with 0.8-12-MHz tunable IF -3-dB bandwidth and 12-dB adjacent channel selectivity at 2 fp, -14-dBm IIP3, and 3-dB NF double-sideband with 10-kHz flicker-noise corner frequency.
A real-time lane marking localization, tracking and communication system

In this paper, we present an in-vehicle computing system capable of localizing lane markings and communicating them to drivers. To the best of our knowledge, this is the first system that combines the Maximally Stable Extremal Region (MSER) technique with the Hough transform to detect and recognize lane markings (i.e., lines and pictograms). Our system begins by localizing the region of interest using the MSER technique. A three-stage refinement computing algorithm is then introduced to enhance the results of MSER and to filter out undesirable information such as trees and vehicles. To achieve the requirements of real-time systems, the Progressive Probabilistic Hough Transform (PPHT) is used in the detection stage to detect line markings. Next, the recognition of the color and the form of line markings is performed; this it is based on the results of the application of the MSER to left and right line markings. The recognition of High-Occupancy Vehicle pictograms is performed using a new algorithm, based on the results of MSER regions. In the tracking stage, Kalman filter is used to track both ends of each detected line marking. Several experiments are conducted to show the efficiency of our system. © 2015 Elsevier B.V. All rights reserved.
Fault detection of a five-phase Permanent-Magnet machine

The paper focuses on the fault detection of a five-phase permanent-magnet (PM) machine. This machine has been designed for fault tolerant applications, and it is characterised by a mutual inductance equal to zero and a high self inductance, with the purpose to limit the short circuit current. The effects of a limited number of short-circuited turns were investigated by theoretical and finite element (FE) analysis, and then a procedure for fault detection has been proposed, focusing on the severity of the fault (i.e. the number of short-circuited turns and the related current).
A HLA-based multi-resolution approach to simulating electric vehicles in simulink and SUMO

Traffic congestion affects not only the economic activity of cities but is also responsible for air quality and global warming problems. The employment of electric buses in metropolitan transportation as an alternative to internal combustion engine buses appears to be a promising eco-sustainable solution. However, an important aspect in evaluating the performance and adequateness of such vehicles is the fact they are immersed in an urban context. This work follows a HLA-based distributed architecture for electric bus powertrain simulation within a realistic urban mobility environment. In that sense, it discusses on coupling the SUMO (Simulation of Urban MObility) microscopic traffic simulator with a model of an electric bus powertrain subsystem designed in the MatLab/Simulink environment. Both the electric bus traction subsystems and the integration have been validated using field test experimental data. The proposed simulation framework is multi-faceted. As a matter of fact it can be used, not only as electric vehicle evaluation tool under different dynamics of traffic conditions and driving behavior, but also as a planner for charging strategies and optimizations.
DEVELOPING STUDENTS’ SPATIAL ABILITY THROUGH SPATIAL VISUALISATION AND SPATIAL ORIENTATION TASKS

Spatial ability is an important skill that student need to have. Educators need to recognize that acquiring a range of spatial skills is important for all pupils or students; both for their educational or occupational success and for their everyday competence. Skills such as estimating, geometry, measurement, map-reading and simple drawing are some of the mathematics ideas behind this topic. Considering the importance of this aspect, the development of students’ spatial ability can no longer be ignored. In order to to support the development of students’ spatial ability, in present study we design a series of learning activities that is combining the spatial visualisation and spatial orientation tasks. This present study is aimed to develop a local instructional theory in this domain and to support the development of students’ spatial ability. Consequently, design research is chosen as an appropriate approach for achieving the research aim. In addition, Pendidikan Matematika Realistik Indonesia (PMRI) which was adapted from Realistic Mathematics Education (RME) was deliberately chosen as the approach in the teaching-learning process in the classroom. To conjecture what will happen in the classroom, the Hypothetical Leaning Trajectory was designed which consists of mathematical goals, starting points, mathematical activities, and the hypothetical paths of students’ thinking. The research which involved 3 students of 3rd grade of SD Negeri 117 Palembang found that by experiencing working on some spatial visualisation and spatial orientation tasks such as: the activities of constructing the building, drawing, and analyzing two-dimensional shapes, students understand attributes and properties of two-dimensional space and the use of those attributes in solving some spatial problems.
Prototype of an axial flux permanent magnet generator for wind energy systems applications

Small scale wind power applications require a cost effective and mechanically simple generator in order to be a reliable energy source. The use of direct driven generators, instead of geared machines, reduces the number of drive components, which offers the opportunity to reduce costs and increases system reliability and efficiency. For such applications, characterized by low speed of rotation, the axial flux permanent magnet generator is particularly suited, since it can be designed with a large pole number and high torque density. This paper presents a double-sided axial flux permanent magnet low-speed generator, with internal rotor and slotted stators. Such a structure gives a good compromise between performance characteristics and feasibility of construction. Test results obtained from the prototype are reported.
Aircraft in Your Head : How Air Traffic Controllers Mentally Organize Air Traffic

The StayCentered Project at Technische Universität Chemnitz aims for assisting air traffic controllers in stressful traffic situations. Therefore we are seeking to comprehend air traffic controllers’ principles of operation within the dyadic team structure. First exploratory research revealed insights into air traffic controllers’ practices, their information processing (mental models), potential stressors, and related emotional effects. This paper discusses the results and the implications for air traffic controllers’ work in general and the StayCentered project in particular. Keywords–Air traffic control; HCI; Decision Support; Mental Models
Comparison of cardiovascular mortality in the Great East Japan and the Great Hanshin-Awaji Earthquakes　- a large-scale data analysis of death certificates.

BACKGROUND
Large earthquakes have been associated with cardiovascular disease (CVD) mortality. In Japan, the 1995 Great Hanshin-Awaji (H-A) Earthquake was an urban-underground-type earthquake, whereas the 2011 Great East Japan (GEJ) Earthquake was an ocean-trench type. In the present study, we examined how these different earthquake types affected CVD mortality.


METHODS AND RESULTS
We examined death certificate data from 2008 to 2012 for 131 municipalities in Iwate, Miyagi, and Fukushima prefectures (n=320,348) and from 1992 to 1996 for 220 municipalities in Hyogo, Osaka, and Kyoto prefectures (n=592,670). A Poisson regression model showed significant increases in the monthly numbers of acute myocardial infarction (AMI)-related deaths (incident rate ratio [IRR] GEJ=1.34, P=0.001; IRR of H-A=1.57, P<0.001) and stroke-related deaths (IRR of GEJ=1.42, P<0.001; IRR of H-A=1.33, P<0.001) after the earthquakes. Two months after the earthquakes, AMI deaths remained significant only for H-A (IRR=1.13, P=0.029). When analyzing the standardized mortality ratio (SMR) after the earthquakes using the Cochran-Armitage trend test, seismic intensity was significantly associated with AMI mortality for 2 weeks after both the GEJ (P for trend=0.089) and H-A earthquakes (P for trend=0.005).


CONCLUSIONS
Following the GEJ and H-A earthquakes, there was a sharp increase in CVD mortality. The effect of the disaster was sustained for months after the H-A earthquake, but was diminished after the GEJ Earthquake.
PM2.5 detection by cyclone separator combined with SH-SAW sensor

In this research, a particulate matter PM2.5 monitoring device is designed and developed, including the shear horizontal surface acoustic wave (SH-SAW) sensor combined with a cyclone separator. Aerosols generated by incense smoke will be separated and sampled inside the designed cyclone separator first, and the sampled PM2.5 particles will be introduced into the sensing area of SH-SAW chip for the detection. From the CFD simulation, the designed cyclone separator, 0.2 mL microcentrifuge tube with 0.5 mm diameter of inlet and outlet, which has the separation cutoff diameters (d50) at 2.5µm, and the required inlet volumetric flow rate is 0.125 LPM simulated. Experiment results demonstrate the performance of SAW sensor by monitoring the PM2.5 emitted from incense smoke, and the sensitivity of sensor is approximately 9Hz/ng. Furthermore, the PM2.5 concentration test shows an obviously higher accuracy with the designed cyclone separator added than barely SAW sensor.
Validation of tissue microarray technology in ovarian cancer: results from the Nurses' Health Study.

BACKGROUND
Tissue microarrays (TMAs) allow high-throughput evaluation of protein expression from archived tissue samples. We identified characteristics specific to ovarian cancer that may influence TMA interpretation.


METHODS
TMAs were constructed using triplicate core samples from 174 epithelial ovarian cancers. Stains for p53, Ki-67, estrogen receptor-alpha, progesterone receptor, Her-2, WT-1, cytokeratin 7, and cytokeratin 20 were evaluated by intraclass correlation coefficients, Spearman correlation coefficients, the effect of sample age, and tumor histology on the ability to score the cores, and inter-rater reliability.


RESULTS
The interclass correlation coefficient and the mean Spearman correlation coefficients among 3 cores were > or = 0.91 and 0.87, respectively. Tissue age and tumor histology were not predictive of an inability to evaluate stains, but borderline tumors had a 2 to 4-fold increase in the risk of having uninterpretable cores over invasive tumors. There was moderate to substantial concordance between the two pathologists for estrogen receptor-alpha [Cohen's Kappa (kappa), 0.79] and Ki-67 (kappa, 0.52). The prevalence of positive staining cells by histologic type was comparable with previous studies.


CONCLUSION
TMA is a valid method for evaluating antigen expression in invasive ovarian cancer but should be used with caution for borderline tumors. We suggest several methods of quality control based on intercore comparisons and show that some antigens may be affected by age of the samples.
ContractFuzzer: fuzzing smart contracts for vulnerability detection

Decentralized cryptocurrencies feature the use of blockchain to transfer values among peers on networks without central agency. Smart contracts are programs running on top of the blockchain consensus protocol to enable people make agreements while minimizing trusts. Millions of smart contracts have been deployed in various decentralized applications. The security vulnerabilities within those smart contracts pose significant threats to their applications. Indeed, many critical security vulnerabilities within smart contracts on Ethereum platform have caused huge financial losses to their users. In this work, we present ContractFuzzer, a novel fuzzer to test Ethereum smart contracts for security vulnerabilities. ContractFuzzer generates fuzzing inputs based on the ABI specifications of smart contracts, defines test oracles to detect security vulnerabilities, instruments the EVM to log smart contracts runtime behaviors, and analyzes these logs to report security vulnerabilities. Our fuzzing of 6991 smart contracts has flagged more than 459 vulnerabilities with high precision. In particular, our fuzzing tool successfully detects the vulnerability of the DAO contract that leads to USD 60 million loss and the vulnerabilities of Parity Wallet that have led to the loss of USD 30 million and the freezing of USD 150 million worth of Ether.
The consistency between treatments provided to nursing facility residents and orders on the physician orders for life-sustaining treatment form.

OBJECTIVES
To evaluate the consistency between treatments provided and Physician Orders for Life-Sustaining Treatment (POLST) orders.


DESIGN
Retrospective chart abstraction.


SETTING
Stratified, random sample of 90 nursing facilities in Oregon, Wisconsin, and West Virginia.


PARTICIPANTS
Eight hundred seventy living and deceased nursing facility residents aged 65 and older with a minimum 60-day stay.


MEASUREMENTS
Chart data about POLST form orders and related treatments over a 60-day period were abstracted. Decision rules were created to determine whether the rationale for each treatment was consistent with POLST orders.


RESULTS
Most residents (85.2%) had the same POLST form in place during the review period. A majority of treatments provided to residents with orders for comfort measures only (74.3%) and limited antibiotics (83.3%) were consistent with POLST orders because they were primarily comfort focused rather than life-prolonging, but antibiotics were provided to 32.1% of residents with orders for no antibiotics. Overall consistency rates between treatments and POLST orders were high for resuscitation (98%), medical interventions (91.1%), and antibiotics (92.9%) and modest for feeding tubes (63.6%). In all, POLST orders were consistent with treatments provided 94.0% of the time.


CONCLUSION
With the exception of feeding tubes and antibiotic use in residents with orders for no antibiotics, the use of medical treatments was nearly always consistent with POLST orders to provide or withhold life-sustaining interventions. The POLST program is a useful tool for ensuring that the treatment preferences of nursing facility residents are honored.