nils-herrmann/clean_scirepeval huggingface dataset:
Modelling the perception of English F 0 scaling in a segmental context
Year: 2011

Segmental context in tone and intonation systems is known to influence target F0 contours in both production and perception. Many languages, for example, prefer to realize critical F0 events during maximally sonorous intervals, a tendency manifest variously through altered pitch movement timing     and in distributional limitations on certain contour types [6] Current analytic practice, by contrast, routinely ignores segmental backdrop when considering the perceptual efficacy of putative pitch cues such as F0 turning points: Tone scaling is typically equated simply with measured turning point height, while tonal timing is read directly off turning points, whose salience is estimated visually, rather than auditorily. Even voiceless intervals may receive no special treatment, owing to widespread belief in perceptual completion during missing F0 intervals [13]  a process modelled explicitly in many stylization algorithms (e.g. MOMEL,   however, cast doubt on this, demonstrating that listeners' tone scaling judgments are better understood by ignoring F0 gaps, relying instead solely on recorded F0 values. This study goes further, arguing that the perceptual effects of a range of lower sonority segments require a scaling model based not on single points, but instead on the integration of weighted F0 samples over a broader region  In a 2AFC task, listeners judged the relative scaling of two L+H* accents, realized during versions of the English words day, Dane, Dave, and Dade, resynthesized with identical rhyme durations, nucleus:coda ratios (where relevant) and F0 rises (150 Hz at rhyme onset to 200 at offset) A carrier phrase, X might fit, bore a rise fall rise contour, with nuclear accent on X. Seven additional versions of each stimulus phrase were also created, these with high, plateau shaped accents, beginning at 200 Hz, and descending by .5 semitones/step, to create a continuum of level reference standards. Sharp peaked test stimuli were compared only with reference standards of identical segmental make up (Figures 1a d) Since plateau shaped accents are known to sound higher than sharp peaked analogues with identical maximum F0   sharp peaked stimuli should sound somewhat lower than their highest corresponding reference levels, with 50% crossover points within the continuum providing estimates of perceived F0 for each sharp peaked accent. Identical perceived scaling for test stimuli regardless of segmental make up would predict identical response patterns for all syllable types. This was not the case for 35 listeners  analyzed using mixed effects logistic regression. Instead, subjects heard day as highest, followed by Dane, then Dave, with Dade
Successful Transplantation of Porcine Lungs Following 3 Days of Preservation Using a Modified Cold Static Method Paired with Intermittent Normothermic Ex Vivo Lung Perfusion (EVLP)
Venue: The Journal of heart and lung transplantation the official publication of the International Society for Heart Transplantation
Year: 2020

We have recently showed the superiority of 10degC cold static preservation (CSP) compared to standard 4degC. Despite that, CSP cannot be prolonged unlimited. Here, we hypothesized that combining CSP at 10degC with 2 short cycles of normothermic EVLP (a "recharge" period) would further extend donor lung preservation.  Donor lungs (n=3) from Yorkshire pigs (28 35kg) were flushed with 4degC LPD and subsequently preserved using 10degC CSP and intermittent normothermic EVLP  After a total of 72h of preservation, a left lung transplant was performed followed by 4h of reperfusion. At 4h of reperfusion, isolated graft assessment was performed by clamping the contralateral pulmonary artery and bronchus. To evaluate the contribution of the EVLP recharge periods, 2 control lungs were preserved solely with 10degC CSP for 72h and assessed using normothermic EVLP.  After 3 days of preservation, post transplant graft function was excellent. Systemic P/F ratio after excluding the contra lateral lung was 430 57 mmHg. Lung function was also stable during the intermittent EVLP periods  and after transplantation (Fig 1C) No pulmonary edema was observed in the bronchoscopic assessment after transplant. Lungs preserved purely in CSP for 72h were assessed on EVLP and failed immediately with the development of massive pulmonary edema.  We demonstrate for the first time the feasibility of 3 day lung preservation leading to excellent early post transplant outcomes. Further experiments are being performed to confirm these positive findings and underlying mechanisms. The combination of a modified CSP method (10degC) and intermittent EVLP can open new opportunities to further prolong organ preservation and provide time for advanced lung treatments and repair.
Global Quadratic Stabilization in Probability for Switched Linear Stochastic Systems
Venue: IEEE Access
Year: 2020

Global quadratic stabilization in probability is considered for both switched linear certain stochastic systems and switched linear uncertain stochastic systems where there are norm bounded uncertainties. Under the assumption that every single subsystem is NOT globally quadratically stable in probability (GQS P) we propose both static and dynamic output based switching laws such that the switched system on hand is GQS P. In the case of static output based switching, the condition is expressed by a set of matrix inequalities, while the design of dynamic output based switching is proposed with a convex combination of subsystems and a robust Luenberger observer for each subsystem. Numerical examples are presented to show validity of the design conditions and switching algorithms.
Honokiol camptothecin loaded graphene oxide nanoparticle towards combinatorial anti cancer drug delivery.
Venue: IET nanobiotechnology
Year: 2020

Honokiol (HK) is a natural product isolated from the bark, cones, seeds and leaves of plants belonging to the genus Magnolia. It possesses anti cancer activity which can efficiently impede the growth and bring about apoptosis of a diversity of cancer cells. The major concerns of using HK are its poor solubility and lack of targeted drug delivery. In this study, a combinatorial drug is prepared by combining HK and camptothecin (CPT) Both CPT and HK belong to the Magnolian genus and induce apoptosis by cell cycle arrest at the S phase and G1 phase, respectively. The combinatorial drug thus synthesised was loaded onto a chitosan functionalised graphene oxide nanoparticles, predecorated with folic acid for site specific drug delivery. The CPT drug loaded nanocarrier was characterised by X ray diffractometer, scanning electron microscope, transmission electron microscope, UV vis spectroscopy and fluorescence spectroscopy, atomic force microscopy. The antioxidant properties, haemolytic activity and anti inflammatory activities were analysed. The cellular toxicity was analysed by 3 (4,5 Dimethylthiazol 2 yl) 2,5 Diphenyltetrazolium Bromide (MTT assay) and Sulforhodamine B (SRB) assay against breast cancer (MCF 7) cell lines.
Evaluation of Commercial Ropes Applied as Artificial Tendons in Robotic Rehabilitation Orthoses
Year: 2020

This study aims to present the design, selection and testing of commercial ropes (artificial tendons) used on robotic orthosis to perform the hand movements for stroke individuals over upper limb rehabilitation. It was determined the load applied in the rope would through direct measurements performed on four individuals after stroke using a bulb dynamometer. A tensile strength test was performed using eight commercial ropes in order to evaluate the maximum breaking force and select the most suitable to be used in this application. Finally, a pilot test was performed with a user of the device to ratify the effectiveness of the rope. The load on the cable was 12.38 kgf (121.4 N) in the stroke affected hand, which is the maximum tensile force that the rope must to supports. Paragliding rope (DuPont(tm) Kevlar (r) supporting a load of 250 N at a strain of 37 mm was selected. The clinical test proved the effectiveness of the rope, supporting the requested efforts, without presenting permanent deformation, effectively performing the participant's finger opening.
Evaluation of TIGGE Daily Accumulated Precipitation Forecasts over the Qu River Basin, China
Venue: Journal of Meteorological Research
Year: 2019

Quantitative precipitation forecasts (QPFs) provided by three operational global ensemble prediction systems (EPSs) from the THORPEX (The Observing System Research and Predictability Experiment) Interactive Grand Global Ensemble (TIGGE) archive were evaluated over the Qu River basin, China during the plum rain and typhoon seasons of 2009 13. Two post processing methods, the ensemble model output statistics based on censored shifted gamma distribution (CSGD EMOS) and quantile mapping (QM) were used to reduce bias and to improve the QPFs. The results were evaluated by using three incremental precipitation thresholds and multiple verification metrics. It is demonstrated that QPFs from NCEP and ECMWF presented similarly skillful forecasts, although the ECMWF QPFs performed more satisfactorily in the typhoon season and the NCEP QPFs were better in the plum rain season. Most of the verification metrics showed evident seasonal discriminations, with more satisfactory behavior in the plum rain season. Lighter precipitation tended to be overestimated, but heavier precipitation was always underestimated. The post processed QPFs showed a significant improvement from the raw forecasts and the effects of post processing varied with the lead time, precipitation threshold, and EPS. Precipitation was better corrected at longer lead times and higher thresholds. CSGD EMOS was more effective for probabilistic metrics and the root mean square error. QM had a greater effect on removing bias according to bias and categorical metrics, but was unable to warrant reliabilities. In general, raw forecasts can provide acceptable QPFs eight days in advance. After post processing, the useful forecasts can be significantly extended beyond 10 days, showing promising prospects for flood forecasting.
Recent progress on charge reversal polymeric nanocarriers for cancer treatments
Venue: Biomedical materials
Year: 2021

Nanocarriers (NCs) for delivery anticancer therapeutics have been under development for decades. Although great progress has been achieved, the clinic translation is still in the infancy. The key challenge lies in the biological barriers which lie between the NCs and the target spots, including blood circulation, tumor penetration, cellular uptake, endo /lysosomal escape, intracellular therapeutics release and organelle targeting. Each barrier has its own distinctive microenvironment and requires different surface charge. To address this challenge, charge reversal polymeric NCs have been a hot topic, which are capable of overcoming each delivery barrier, by reversing their charges in response to certain biological stimuli in the tumor microenvironment. In this review, the triggering mechanisms of charge reversal, including pH, enzyme and redox approaches are summarized. Then the corresponding design principles of charge reversal NCs for each delivery barrier are discussed. More importantly, the limitations and future prospects of charge reversal NCs in clinical applications are proposed.
Adopting Big Data Analysis in the Agricultural Sector: Financial and Societal Impacts
Venue: Studies in Big Data
Year: 2019

Big data analytics (BDA) is constantly formulating decisions in agriculture and transforming the processes by which agriculture operates and controls. The agriculture process can be composed of a sequential flow of stages, starting from planting, spraying, fertilization, collection, and distribution to the end consumer. The variety within agriculture data is distinctly heterogeneous. This big farming data can come in all shapes and sizes from a variety of sources, which composes a hard analytical process for decision makers. Big data analytical techniques have been applied to each stage in the agricultural operational process. These techniques have been proven to establish both economic gain for farmers and environmental and safety benefits for society at large. This chapter summarizes the state of art analytical methods that have been recently used in the agriculture industry, along with their financial and societal impacts.
Managing non cooperative behaviors in consensus based multiple attribute group decision making: An approach based on social network analysis
Venue: Knowl. Based Syst.
Year: 2018

In consensus based multiple attribute group decision making (MAGDM) problems, it is frequent that some experts exhibit non cooperative behaviors owing to the different areas to which they may belong and the different (sometimes conflicting) interests they might present. This may adversely affect the overall efficiency of the consensus reaching process, especially when some uncooperative behaviors by experts arise. To this end, this paper develops a novel consensus framework based on social network analysis (SNA) to deal with non cooperative behaviors. In the proposed SNA based consensus framework, a trust propagation and aggregation mechanism to yield experts' weights from the social trust network is presented, and the obtained weights of experts are then integrated into the consensus based MAGDM framework. Meanwhile, a non cooperative behavior analysis module is designed to analyze the behaviors of experts. Based on the results of such analysis during the consensus process, each expert can express and modify the trust values pertaining other experts in the social trust network. As a result, both the social trust network and the weights of experts derived from it are dynamically updated in parallel. A simulation and comparison study is presented to demonstrate the efficiency of the SNA based consensus framework for coping with non cooperative behaviors.
[2016 European Guidelines on cardiovascular disease prevention in clinical practice]
Venue: Kardiologia polska
Year: 2016

Authors/Task Force Members: Massimo F. Piepoli* (Chairperson) (Italy) Arno W. Hoes* (Co Chairperson) (The Netherlands) Stefan Agewall (Norway)1, Christian Albus (Germany)9, Carlos Brotons (Spain)10, Alberico L. Catapano (Italy)3, Marie Therese Cooney (Ireland)1, Ugo Corra (Italy)1, Bernard Cosyns (Belgium)1, Christi Deaton (UK)1, Ian Graham (Ireland)1, Michael Stephen Hall (UK)7, F. D. Richard Hobbs (UK)10, Maja Lisa Lochen (Norway)1, Herbert Lollgen (Germany)8, Pedro Marques Vidal (Switzerland)1, Joep Perk (Sweden)1, Eva Prescott (Denmark)1, Josep Redon (Spain)5, Dimitrios J. Richter (Greece)1, Naveed Sattar (UK)2, Yvo Smulders (The Netherlands)1, Monica Tiberi (Italy)1, H. Bart van der Worp (The Netherlands)6, Ineke van Dis (The Netherlands)4, W. M. Monique Verschuren (The Netherlands)1
PENGARUH PEMBERIAN TEKNIK KOMPRES HANGAT TERHADAPSKALA NYERI PASIEN PASCA OPERASI SECTIO CAESAREANDI RSUD SLEMAN
Year: 2013

Latar Belakang: Nyeri merupakan pengalaman emosional dan sensori yang tidak menyenangkan yang muncul dari kerusakan jaringan secara aktual. Nyeri pasca operasi sectio caesarean sangat mempengaruhi kemampuan ibu untuk merawat dan menyusui bayinya. Hal ini menyebabkan disfungsional proses keluarga. Terdapat banyak terapi komplementer untuk menurunkan skala nyeri pasien. Salah satu diantaranya adalah teknik kompres hangat, tetapi efektivitas teknik ini belum diterapkan di RSUD Sleman.  Tujuan penelitian ini adalah untuk mengidentifikasi efektifitas pemberian teknik kompres hangat terhadap skala nyeri pasien pasca operasi sectio caesarean.  Quasy eksperimen dengan pre test and post test with control group design digunakan dalam penelitian ini. 15 responden yang masuk dalam kriteria inklusi diambil untuk masing masing kelompok. Pengukuran skala nyeri menggunakan Numerical Rating Scale, dimana nyeri diukur pada sebelum dan setelah intervensi diberikan selama 3 hari. Analisis data menggunakan Independent Sample t test dengan p 0.05. Hasil: Hasil uji Independent Sample t test antara kelompok intervensi dan kontrol diperoleh (t 3.445, p 0.002) Rata rata skala nyeri kelompok intervensi sebesar 5.80 lebih rendah dibandingkan kelompok kontrol sebesar 6.87 (skala 1 10) Kesimpulan: Teknik kompres hangat secara signifikan dapat menurunkan skala nyeri pasien pasca operasi sectio caesarean. Oleh karena itu, penerapan teknik ini untuk populasi tersebut sangat penting untuk dilakukan sebagai salah satu terapi komplementer di rumah sakit.
A causal role of superior temporal gyrus in auditory motor control of vocal production
Venue: The Journal of the Acoustical Society of America
Year: 2019

Accumulating evidence has shown that the superior temporal gyrus (STG) plays an important role in auditory feedback control of vocal production. The precise role of this region in auditory vocal integration, however, remains unclear. The present event related potential study applied a transcranial magnetic stimulation (TMS) protocol, continuous theta burst stimulation (c TBS) to depress activity in the left STG as young adults produced sustained vowels while their voice was unexpectedly pitch shifted downwards by 50 or 200 cents. The behavioral results showed significantly larger vocal compensations for pitch perturbations in the c TBS condition as compared to the sham condition. At the cortical level, c TBS over left STG led to significantly smaller cortical P2 responses than the sham condition. These findings provide the first causal evidence for linking the STG to auditory feedback control of vocal production. Enhanced vocal compensations for pitch perturbations as a result of disrupting the STG activity lend support to the idea that the STG may be critically involved in top down inhibitory mechanisms of speech motor control, through which vocal motor behaviors can be appropriately regulated without being excessively influenced by auditory feedback.Accumulating evidence has shown that the superior temporal gyrus (STG) plays an important role in auditory feedback control of vocal production. The precise role of this region in auditory vocal integration, however, remains unclear. The present event related potential study applied a transcranial magnetic stimulation (TMS) protocol, continuous theta burst stimulation (c TBS) to depress activity in the left STG as young adults produced sustained vowels while their voice was unexpectedly pitch shifted downwards by 50 or 200 cents. The behavioral results showed significantly larger vocal compensations for pitch perturbations in the c TBS condition as compared to the sham condition. At the cortical level, c TBS over left STG led to significantly smaller cortical P2 responses than the sham condition. These findings provide the first causal evidence for linking the STG to auditory feedback control of vocal production. Enhanced vocal compensations for pitch perturbations as a result of disrupting the STG activ.
UWB GCN: Hardware Acceleration of Graph Convolution Network through Runtime Workload Rebalancing
Venue: ArXiv
Year: 2019

The recent development of deep learning has mostly been focusing on Euclidean data, such as images, videos, and audios. However, most real world information and relationships are often expressed in graphs. Graph convolutional networks (GCNs) appear as a promising approach to efficiently learn from graph data structures, showing advantages in several practical applications such as social network analysis, knowledge discovery, 3D modeling, and motion capturing. However, practical graphs are often extremely large and unbalanced, posting significant performance demand and design challenges on the hardware dedicated to GCN inference. In this paper, we propose an architecture design called Ultra Workload Balanced GCN (UWB GCN) to accelerate graph convolutional network inference. To tackle the major performance bottleneck of workload imbalance, we propose two techniques: dynamic local sharing and dynamic remote switching, both of which rely on hardware flexibility to achieve performance auto tuning with negligible area or delay overhead. Specifically, UWB GCN is able to effectively profile the sparse graph pattern while continuously adjusting the workload distribution among parallel processing elements (PEs) After converging, the ideal configuration is reused for the remaining iterations. To the best of our knowledge, this is the first accelerator design targeted to GCNs and the first work that auto tunes workload balance in accelerator at runtime through hardware, rather than software, approaches. Our methods can achieve near ideal workload balance in processing sparse matrices. Experimental results show that UWB GCN can finish the inference of the Nell graph (66K vertices, 266K edges) in 8.1x, corresponding to 199x, 16x, and 7.5x respectively, compared to the CPU, GPU, and the baseline GCN design without workload rebalancing.
Effects of integrative simulation practice on nursing knowledge, critical thinking, problem solving ability, and immersion in problem based learning among nursing students
Year: 2020

This study was conducted to investigate the effects of problem based learning integrative simulation practice (PBL ISP) on nursing knowledge, critical thinking, problem solving ability, and immersion among nursing students.  The study used a nonequivalent control group post test design. A PBL ISP educational program was provided to the experimental group, and hands on practice using a high fidelity simulator (HFS) was administered to the control group. There were 42 subjects in the experimental group and 40 in the control group. Data were collected during the fall semester of 2019. Using SPSS for Windows version 23.0, data were analyzed in terms of frequency, percentage, mean, standard deviation, the chi square test, t test, and Pearson correlation coefficients.  Significant differences between the experimental and control groups were found in nursing knowledge (t=3.67, p<.001) critical thinking (t=3.40, p=.001) problem solving ability (t=3.52, p=.001) and immersion (t=4.44, p<.001)  PBL ISP was more effective in improving nursing knowledge, critical thinking, problem solving ability, and immersion than was hands on practice using an HFS.
Artificial Neural Network Computer Tomography Perfusion Prediction of Ischemic Core.
Venue: Stroke
Year: 2019

Computed tomography perfusion (CTP) is a useful tool in the evaluation of acute ischemic stroke, where it can provide an estimate of the ischemic core and the ischemic penumbra. The optimal CTP parameters to identify the ischemic core remain undetermined.  We used artificial neural networks (ANNs) to optimally predict the ischemic core in acute stroke patients, using diffusion weighted imaging as the gold standard. We first designed an ANN based on CTP data alone and next designed an ANN based on clinical and CTP data.  The ANN based on CTP data predicted the ischemic core with a mean absolute error of 13.8 mL (SD, 13.6 mL) compared with diffusion weighted imaging. The area under the receiver operator characteristic curve was 0.85. At the optimal threshold, the sensitivity for predicting the ischemic core was 0.90 and the specificity was 0.62. Combining CTP data with clinical data available at time of presentation resulted in the same mean absolute error (13.8 mL) but lower SD (12.4 mL) The area under the curve, sensitivity, and specificity were 0.87, 0.91, and 0.65, respectively. The maximal Dice coefficient was 0.48 in the ANN based on CTP data exclusively.  An ANN that integrates clinical and CTP data predicts the ischemic core with accuracy.