nils-herrmann/clean_scirepeval huggingface dataset:
Project Based Construction Education with Simulations in a Gaming Environment

Education, (VICE) Bridge, is a project based pedagogical approach delivered in a simulated environment. The long term goal of VICE is to develop a series of project oriented simulations as serious games that deliver construction education in a situated context. VICE improves understanding at a level that parallels real world experiences. The project orientation allows the introduction of subjects for the context in which it is needed. Socio demographic information is collected and matched to performance measures that include items like number of consultant hits, time to complete exercises, number of attempts, project cost and duration. Twenty six college level construction students from a methods and equipment course completed the game. Performance was measured with pre and post construction content knowledge exercises consistent with the course content, performance measures built into the game, self assessment surveys, and an exit survey. This project is unique in that it uses simulation in an educational game environment to introduce construction subject matter as needed within a project orientation. The project was shown to be both effective and engaging using evaluation techniques based on best practices for educational gaming research.
Pertanggungjawaban Pidana Partai Politik dalam Tindak Pidana Korupsi dan Pencucian Uang

Pertanggungjawaban pidana korupsi dan pencucian uang selama ini sering hanya dikenakan pada 'orang' sebagai subjek pelaku. Salah satu tindak pidana korupsi yang akhir akhir ini sering terjadi adalah yang berasal dari partai politik, yang dilakukan oleh anggotanya. Dalam praktik, sulit mengidentifikasi perbuatan personel partai politik itu menjadi perbuatan yang dapat dipertanggungjawabkan kepada partai politik. Artikel ini menggali hal hal yang berkaitan dengan pertanggungjawaban pidana partai politik dalam tindak pidana korupsi dan pencucian uang. Negara dapat meminta pertanggungjawaban pidana karena partai politik dapat dikategorikan sebagai korporasi. Partai politik merupakan subjek hukum yang dapat dimintakan pertanggungjawaban pidana dalam hal personel atau pengurusnya melakukan tindak pidana korupsi berdasarkan teori pemidanaan terhadap korporasi. Ketentuan hukum juga telah mengatur bentuk sanksi pidana berupa denda, pengumuman putusan hakim, pembekuan sebagian atau seluruh kegiatan usaha partai, pencabutan izin opersional partai, pembubaran dan/atau pelarangan partai, perampasan aset partai untuk negara, dan/atau pengambilalihan partai politik oleh negara. Criminal Liability of Political Parties for Corruption and Money Laundering Abstract Criminal responsibility of corruption and money laundering is often imposed to individual as the perpetrators, whereas currently the trend is that corruption performed by a political party through its personnel In practice, it is difficult to identify which personal action taken by a personnel of a political party that could constitute as a criminal offence accountable to the political party. This article will discuss the matters surrounding criminal responsibility of a political party in regards to both corruption and money laundering. Political party as a subject of law is entitled to criminal responsibility in a case where its personnel or its officials is found guilty of corruption based on the criminal prosecution againsts corporation theory. Furthermore, legal provision have also regulate criminal sanctions such as: financial penalties, announcement of court decision, freezing part or all of the business activities of the party, operational license revocation, dissolution and/or prohibition of the party, expropriation of assets to the state, and/or takeover of political party by the state.
Shaking table test for evaluating the seismic response characteristics of concentrically braced steel structure with and without hysteretic dampers

This study represents a summary of a current experimental program in the application of an energy dissipation system for seismic protection of structures. Shaking table test has been carried out for the structures with and without a hysteretic damper device for two types of structures in one direction (CBSS: Concentrically Braced Steel Structure, HDSS: Hysteretic Damper Steel structure) The hysteretic damper device which is proposed in this study has been developed to provide relatively high initial stiffness, stable hysteresis with the limited but controlled yield strength in different stories in order to have equal plastic deformation in high intensity of ground motion, and excellent energy dissipation capabilities. The experimental results and test method have been outlined here. In this experiment, the non linear dynamic response analysis has been performed with different scaling factor for the two types of idealized three story concentrically braced steel structures. It has been emphasized that the hysteretic damper can absorb the majority of input energy from earthquakes in order to reduce the displacement and damage to the main steel frame. The mechanical properties of dampers such as yield strength and stiffness are defined to have the equal damage at each story.
Conducting Clinical Research Using Crowdsourced Convenience Samples.
Venue: Annual review of clinical psychology

Crowdsourcing has had a dramatic impact on the speed and scale at which scientific research can be conducted. Clinical scientists have particularly benefited from readily available research study participants and streamlined recruiting and payment systems afforded by Amazon Mechanical Turk (MTurk) a popular labor market for crowdsourcing workers. MTurk has been used in this capacity for more than five years. The popularity and novelty of the platform have spurred numerous methodological investigations, making it the most studied nonprobability sample available to researchers. This article summarizes what is known about MTurk sample composition and data quality with an emphasis on findings relevant to clinical psychological research. It then addresses methodological issues with using MTurk many of which are common to other nonprobability samples but unfamiliar to clinical science researchers and suggests concrete steps to avoid these issues or minimize their impact.
Computer Aided Design and Analysis of Disc Brake Rotors

The purpose of this research is to analyze different types of disc brake rotors, which are commonly used in automobile industry and to propose a new design of brake rotor. Analysis of brake rotor includes Structural analysis and Steady state Thermal analysis for each design. A comparison between the existing brake rotors and proposed new design is carried out and based on the results the best design is found out by ANSYS software.
Drying methods used in starch isolation change properties of C type chestnut (Castanea mollissima) starches

The effect of different drying methods used in starch isolation on structural and functional properties of Chinese chestnut starches was investigated. Freeze dried (FD) starch granules exhibited some scratches and pores on their surface, which were not observed for ethanol dried (ED) and oven dried (OD) starch granules. ED starch showed the highest relative crystallinity and short range molecular order of double helices, followed by OD starch, and FD starch showed the lowest values. These results indicated that freeze drying disrupted the ordered structure of starch granules. At 92.5 degC, OD starch exhibited the highest swelling power, whereas FD starch showed the lowest swelling power. ED starch showed higher gelatinization temperatures and enthalpy changes than OD and FD starches, indicating that ED starch contained higher amount of crystallites than did OD and FD starches. FD and OD starches were hydrolyzed more greatly by alpha amylase and amyloglucosidase compared with ED starch. Our results showed that freeze drying disrupted the ordered structure of chestnut starch and it is not preferred for starch isolation.
Interaction Between Object Based Attention and Pertinence Values Shapes the Attentional Priority Map of a Multielement Display
Venue: Journal of experimental psychology. Human perception and performance

Previous studies have shown that the perceptual organization of the visual scene constrains the deployment of attention. Here we investigated how the organization of multiple elements into larger configurations alters their attentional weight, depending on the "pertinence" or behavioral importance of the elements' features. We assessed object based effects on distinct aspects of the attentional priority map: top down control, reflecting the tendency to encode targets rather than distracters, and the spatial distribution of attention weights across the visual scene, reflecting the tendency to report elements belonging to the same rather than different objects. In 2 experiments participants had to report the letters in briefly presented displays containing 8 letters and digits, in which pairs of characters could be connected with a line. Quantitative estimates of top down control were obtained using Bundesen's Theory of Visual Attention (1990) The spatial distribution of attention weights was assessed using the "paired response index" (PRI) indicating responses for within object pairs of letters. In Experiment 1, grouping along the task relevant dimension (targets with targets and distracters with distracters) increased top down control and enhanced the PRI; in contrast, task irrelevant grouping (targets with distracters) did not affect performance. In Experiment 2, we disentangled the effect of target target and distracter distracter grouping: Pairwise grouping of distracters enhanced top down control whereas pairwise grouping of targets changed the PRI. We conclude that object based perceptual representations interact with pertinence values (of the elements' features and location) in the computation of attention weights, thereby creating a widespread pattern of attentional facilitation across the visual scene.
An Investigation of Degradation of Mechanical Behaviour of Prestressing Strands Subjected to Chloride Attacking

Corrosion of reinforcing and prestressing steel due to chloride contamination is one of the primary causes of deterioration of concrete structures. A review of published literatures shows that the research on the deterioration of mechanical properties of reinforcing steel is more than that on prestressing strands, even though the corrosion of prestressing strands may trigger structural collapse without warnings due to higher stress levels in the steel. This paper aims to investigate the degradation of mechanical behaviour of corroded prestressing strands. Details of a comprehensive experiment designed to examine the mechanical behaviour of corroded prestressing strands in concrete structural members are presented. A micromechanical damage model for failure mechanism of corroded prestressing strands is proposed, and a model for damage factor is derived. Based on these models, a constitutive model for corroded prestressing strands is developed and verified with test results. It is found in the paper that both the strength and ductility of corroded prestressing strands decrease with the increase of corrosion and that the hemispherical model for the pit shape is more appropriate for the prediction of strength reduction of corroded prestressing strands. The paper concludes that the constitutive model developed in the paper can be used to predict the mechanical behaviour of corroded prestressing strands accurately, paving the way for the assessment of corrosion induced flexural failure of prestressed concrete structures.
The Out of Stock (OOS) Effect on Choice Shares of Available Options

Prior research on product out of stock (OOS) has mainly focused on the consequences of OOS due to consumers not being able to select their target options. The present research explores how OOS noticed by consumers without a specific target option in mind affects their preference among the in stock options. We find that consumers can draw social inferences from OOS about the desirability of product features. Consequently, in stock options that share feature with the OOS option enjoys choice advantage. We show that this effect occurs only when the OOS condition is caused by consumer demand (as opposed to by logistical causes) and only for consumers who are not product category experts. Further, consumers' belief on others' expertise and shopping goal determines which specific feature they will identify as the key feature that drives the OOS. These findings provide a more complete picture for how consumers respond to OOS. They also offer insights into making more accurate demand estimation and suggest a potential new tool for in store marketing.
Antibiotics, birth mode, and diet shape microbiome maturation during early life
Venue: Science Translational Medicine

A longitudinal study of intestinal microbiota in children and their mothers shows that antibiotics, cesarean section, and infant formula alter patterns of microbial acquisition and succession during the first 2 years of childhood. Snapshots of the developing infant gut microbiota The intestinal "microbiota," that is, the community of microbes inhabiting the human intestinal tract, undergoes many changes during the first 2 years of life. Bokulich et al. now show that this pattern of development is altered in children who are delivered by cesarean section, fed formula, or treated with antibiotics, compared to those babies who were born vaginally, breast fed, or unexposed to antibiotics. Future studies will determine whether these disturbances influence the health of these babies. Early childhood is a critical stage for the foundation and development of both the microbiome and host. Early life antibiotic exposures, cesarean section, and formula feeding could disrupt microbiome establishment and adversely affect health later in life. We profiled microbial development during the first 2 years of life in a cohort of 43 U.S. infants and identified multiple disturbances associated with antibiotic exposures, cesarean section, and formula feeding. These exposures contributed to altered establishment of maternal bacteria, delayed microbiome development, and altered a diversity. These findings illustrate the complexity of early life microbiome development and its sensitivity to perturbation.
Improving volcanic ash predictions with the HYSPLIT dispersion model by assimilating MODIS satellite retrievals

Currently, the National Oceanic and Atmospheric Administration (NOAA) National Weather Service (NWS) runs the HYSPLIT dispersion model with a unit mass release rate to predict the transport and dispersion of volcanic ash. The model predictions provide information for the Volcanic Ash Advisory Centers (VAAC) to issue advisories to meteorological watch offices, area control centers, flight information centers, and others. This research aims to provide quantitative forecasts of ash distributions generated by objectively and optimally estimating the volcanic ash source strengths, vertical distribution, and temporal variations using an observation modeling inversion technique. In this top down approach, a cost functional is defined to quantify the differences between the model predictions and the satellite measurements of column integrated ash concentrations weighted by the model and observation uncertainties. Minimizing this cost functional by adjusting the sources provides the volcanic ash emission estimates. As an example, MODIS (Moderate Resolution Imaging Spectroradiometer) satellite retrievals of the 2008 Kasatochi volcanic ash clouds are used to test the HYSPLIT volcanic ash inverse system. Because the satellite retrievals include the ash cloud top height but not the bottom height, there are different model diagnostic choices for comparing the model results with the observed mass loadings. Three options are presented and tested. Although the emission estimates vary significantly with different options, the subsequent model predictions with the different release estimates all show decent skill when evaluated against the unassimilated satellite observations at later times. Among the three options, integrating over three model layers yields slightly better results than integrating from the surface up to the observed volcanic ash cloud top or using a single model layer. Inverse tests also show that including the ash free region to constrain the model is not beneficial for the current case. In addition, extra constraints on the source terms can be given by explicitly enforcing no ash for the atmosphere columns above or below the observed ash cloud top height. However, in this case such extra constraints are not helpful for the inverse modeling. It is also found that simultaneously assimilating observations at different times produces better hindcasts than only assimilating the most recent observations.
From high level deep neural models to FPGAs
Venue: 2016 49th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO)

Deep Neural Networks (DNNs) are compute intensive learning models with growing applicability in a wide range of domains. FPGAs are an attractive choice for DNNs since they offer a programmable substrate for acceleration and are becoming available across different market segments. However, obtaining both performance and energy efficiency with FPGAs is a laborious task even for expert hardware designers. Furthermore, the large memory footprint of DNNs, coupled with the FPGAs' limited on chip storage makes DNN acceleration using FPGAs more challenging. This work tackles these challenges by devising DnnWeaver, a framework that automatically generates a synthesizable accelerator for a given (DNN, FPGA) pair from a high level specification in Caffe  To achieve large benefits while preserving automation, DNNWEAVER generates accelerators using hand optimized design templates. First, DnnWeaver translates a given high level DNN specification to its novel ISA that represents a macro dataflow graph of the DNN. The DnnWeaver compiler is equipped with our optimization algorithm that tiles, schedules, and batches DNN operations to maximize data reuse and best utilize target FPGA's memory and other resources. The final result is a custom synthesizable accelerator that best matches the needs of the DNN while providing high performance and efficiency gains for the target FPGA. We use DnnWeaver to generate accelerators for a set of eight different DNN models and three different FPGAs, Xilinx Zynq, Altera Stratix V, and Altera Arria 10. We use hardware measurements to compare the generated accelerators to both multicore CPUs (ARM Cortex A15 and Xeon E3) and many core GPUs (Tegra K1, GTX 650Ti, and Tesla K40) In comparison, the generated accelerators deliver superior performance and efficiency without requiring the programmers to participate in the arduous task of hardware design.
From High Level Deep Network Models to FPGA Acceleration

Deep Neural Networks (DNNs) are compute intensive learning models with growing applicability in a wide range of domains. FPGAs are a compelling alternative to accelerate deep networks. However, using FPGAs for DNN acceleration is challenging since it requires long design cycles and expertise in hardware design. This work takes on this challenge, but instead of designing just an accelerator for a particular DNN model, it devises DNNWEAVER; a framework that automatically generates a synthesizable accelerator for a given (DNN, FPGA) pair using hand optimized templates. DNNWEAVER uses Caffe  as the programming interface to provide a high level of abstraction to the programmers. We use DNNWEAVER to generate accelerators for the combinations of five different deep networks and two different FPGAs, Xilinx Zynq and Altera Stratix V. We rigorously compare the generated accelerators to multicore CPUs (ARM Cortex A15 and Xeon E3) and many core GPUs (Tegra K1, GTX 650 Ti, and Tesla K40) In comparison, the generated accelerators deliver superior performance compared to CPUs and superior efficiency compared to GPUs; without requiring the programmers to participate in the arduous task of hardware design.
A novel synthesis of V10O24*10H2O nanoribbons and their capacitive properties in aqueous electrolytes

10H 2 O nanoribbons were synthesized by a simple, rapid and high yield route with starting from cheap V 2 O 5 and glucose, and their capacitive properties were firstly investigated. The as prepared samples were characterized by XRD, XPS, TG and SEM. The effect of various factors (such as aqueous electrolyte, working voltage and current density) on the capacitive behavior of V 10 O 24 *10H 2 O electrode was analyzed by cyclic voltammetry and galvanostatic charge/discharge test. The best capacitive properties were achieved in 1 M KNO 3 solution at the working voltage of 0.3 to 0.7 V. The highest initial specific capacitance was 177.5 F g 1 at the current density of 200 mA g 1 The capacity retention was 93.2% or 85.3% after 1000 or 2000 cycles. Furthermore, the cyclic stability of V 10 O 24 *10H 2 O was excellent at the high current density of 800 mA g 1
Synthesis and Structural Characterization of Monocrystalline a V2O5 Nanowires

A stable one dimensional system in an orthorhombic a V2O5 nanowires monocrystalline structure was obtained by a solvothermal method from a polymorphic V2O5 structure. The starting material was firstly submitted to acid hydrolysis in H2O2 followed by a solvothermal treatment. The outcome of this procedure, a metastable phase of the one dimensional system V10O24*12H2O/V3O7*H2O, was subsequently reoxidized by controlled heating in an open air system. The final product was an orange crystalline solid mainly formed by monocrystalline nanowires of a V2O5 having lengths of tens of micrometers and widths of about 75 nm with a preferential [200] growth direction. It was found that the pH value of the initial solution plays an important role in the formation of the crystalline phase in the final products. Characterization was performed by X ray diffraction (XRD) scanning electron microscopy (SEM) and high resolution transmission electron microscopy (HRTEM) This study offers an alternate route for the synthesis of vanadium oxides and related compounds.
Wernicke Korsakoff syndrome with psychotic symptoms in a severe case of anorexia nervosa: A case report
Venue: European Psychiatry

The Wernicke Korsakoff syndrome comprises a complex of symptoms including Wernicke's encephalopathy and the Korsakoff's syndrome. While the former is characterized by a classic clinical triad of ataxia, ophtalmoplegia and a global confusional state; the Korsakoff's syndrome is characterized by memory impairment and confabulation. These two entities are now considered as a clinical spectrum of a same disease caused by deficiency of thiamine (vitamin B1)  To describe a case of Wernicke Korsakoff Syndrome with psychotic symptoms in a 13 year old female patient with anorexia nervosa.  The patient and family were interviewed. Literature relevant to the case was reviewed.  A 13 year old Caucasian female was admitted to the emergency department with bradycardia (38 bpm) and a two month history of weight loss totaling 6 kg. This loss of weight was a result of dietary restriction and over exercise because she "felt too fat" On admission she has a body mass index of 12.17. She was diagnosed with anorexia nervosa and was hospitalized. On day 11 after hospitalization, patient initiated alteration in behavior, fluctuating mental state with periods of lucidity and periods of confusion, memory impairment and psychotic symptoms, with paranoid delusions and auditory hallucinations. The classic triad of Wernicke's encephalopathy was not present. The treatment with thiamine was initiated and the symptoms including psychotic symptoms improved.  Wernicke Korsakoff syndrome should be considered in cases of anorexia nervosa with a confusional state and memory impairment even if the classic symptoms are not present. Disclosure of interest The authors have not supplied their declaration of competing interest.