nils-herrmann/clean_scirepeval huggingface dataset:
Use of a Capsule Network to Detect Fake Images and Videos
Venue: ArXiv
Year: 2019

The revolution in computer hardware, especially in graphics processing units and tensor processing units, has enabled significant advances in computer graphics and artificial intelligence algorithms. In addition to their many beneficial applications in daily life and business, computer generated/manipulated images and videos can be used for malicious purposes that violate security systems, privacy, and social trust. The deepfake phenomenon and its variations enable a normal user to use his or her personal computer to easily create fake videos of anybody from a short real online video. Several countermeasures have been introduced to deal with attacks using such videos. However, most of them are targeted at certain domains and are ineffective when applied to other domains or new attacks. In this paper, we introduce a capsule network that can detect various kinds of attacks, from presentation attacks using printed images and replayed videos to attacks using fake videos created using deep learning. It uses many fewer parameters than traditional convolutional neural networks with similar performance. Moreover, we explain, for the first time ever in the literature, the theory behind the application of capsule networks to the forensics problem through detailed analysis and visualization.
Inspection of 3D Printing and Advanced Manufacturing Processes Using Hybrid 3D Metrological Technologies
Year: 2019

The aeronautical industry has begun to use advanced manufacturing and 3D printing for functional parts. The Product Design Laboratory (PDL) has studied the feasibility of manufacturing a part by Additive Manufacturing and has compared the geometric quality of the resulting part with those currently manufactured by plate assembly. Traditionally, we carried out the manufacture of these elements by stamping their different parts and subsequent welding. The objective of this project is to analyse the resulting part using different methods; contact technology (CMM) non contact based on structured blue light (triangulation technology) and X rays (CT) determining the suitability and limitations of each inspection technology. The manufacture of this part is not analysed. We studied this component from different points of view: geometric and dimensional verification and analysis of internal defects. We carried out the first of the macro geometric dimensional control stages using a Coordinate Measuring Machine (CMM) and acquiring a point cloud with structured light, while the defect analysis activity was carried out using an X ray machine. There are certain detail features that we processed by Computational Tomography (CT) tracing the results to those obtained with an optical microscope with a micrometer table.
Fortune Teller: Predicting Your Career Path
Venue: AAAI
Year: 2016

People go to fortune tellers in hopes of learning things about their future. A future career path is one of the topics most frequently discussed. But rather than rely on "black arts" to make predictions, in this work we scientifically and systematically study the feasibility of career path prediction from social network data. In particular, we seamlessly fuse information from multiple social networks to comprehensively describe a user and characterize progressive properties of his or her career path. This is accomplished via a multi source learning framework with fused lasso penalty, which jointly regularizes the source and career stage relatedness. Extensive experiments on real world data confirm the accuracy of our model.
Deep Distributed Fusion Network for Air Quality Prediction
Venue: KDD
Year: 2018

Accompanying the rapid urbanization, many developing countries are suffering from serious air pollution problem. The demand for predicting future air quality is becoming increasingly more important to government's policy making and people's decision making. In this paper, we predict the air quality of next 48 hours for each monitoring station, considering air quality data, meteorology data, and weather forecast data. Based on the domain knowledge about air pollution, we propose a deep neural network (DNN) based approach (entitled DeepAir) which consists of a spatial transformation component and a deep distributed fusion network. Considering air pollutants' spatial correlations, the former component converts the spatial sparse air quality data into a consistent input to simulate the pollutant sources. The latter network adopts a neural distributed architecture to fuse heterogeneous urban data for simultaneously capturing the factors affecting air quality, e.g. meteorological conditions. We deployed DeepAir in our AirPollutionPrediction system, providing fine grained air quality forecasts for 300+ Chinese cities every hour. The experimental results on the data from three year nine Chinese city demonstrate the advantages of DeepAir beyond 10 baseline methods. Comparing with the previous online approach in AirPollutionPrediction system, we have 2.4% 12.2% 63.2% relative accuracy improvements on short term, long term and sudden changes prediction, respectively.
Preemptive light sedation in intensive care unit may reduce pulmonary complications in geriatrics receiving pancreaticoduodenectomy
Venue: Journal of the Chinese Medical Association JCMA
Year: 2020

Patients undergoing pancreaticoduodenectomy (PD) for periampullary lesions are usually elderly with a high risk of postoperative morbidity and mortality. This retrospective cohort study investigated whether postoperative preemptive light sedation aids in recovery of elderly patients following PD.  Ninety nine geriatric patients undergoing PD at one hospital were enrolled from 2009 to 2018. Patients in the sedation group received mechanical ventilation support and preemptively light sedation with fentanyl and propofol or dexmedetomidine in the first 5 days postoperatively in the intensive care unit (ICU) Patients in the control group underwent early extubation and received morphine for pain control but no postoperative sedatives in the ordinary ward. Patients in the two groups were matched 1:1 using propensity scoring. The postoperative complication rate, surgical mortality, and postoperative hospital length of stay (LOS) were recorded. We also tested inflammation in an immortal human bronchial epithelial cell line.  After 1:1 matching, 40 patients in the sedation group were compared with 40 patients in the control group. The sedation group had a significantly lower pulmonary complication rate and fewer patients with postoperative gastroparesis. Both groups had similar postoperative hospital LOS and identical surgical mortality rates. Patients in the sedation group had significantly better postoperative quality of life, including less pain and less heartbeat variation. In vitro cell experiments supported the above clinical observations, showing that adequate use of sedatives could significantly elevate the cell viability rate, protect cells from damage, decrease interleukin 6 production, and reduce inflammation.  Postoperative preemptive light sedation in the ICU in geriatric patients following PD may not only reduce the rates of postoperative pulmonary complications and gastroparesis but also improve postoperative quality of life without prolonging the postoperative hospital LOS.
Predicting Pouch of Douglas Obliteration Using Ultrasound and Laparoscopic Video Sets: An Interobserver and Diagnostic Accuracy Study
Venue: Journal of ultrasound in medicine official journal of the American Institute of Ultrasound in Medicine
Year: 2019

To investigate the diagnostic accuracy and interobserver agreement among sonologists when assessing offline ultrasound (US) video sets of the "sliding sign" and among gynecologic surgeons when assessing corresponding laparoscopic video sets to predict pouch of Douglas (POD) obliteration and to compare the performance of the groups.
Symplectic method for calculation of band gap of one dimensional phononic crystals
Year: 2010

The unit cell of one dimensional phononic crystal was reduced to a spring mass structure with limited number of degrees of freedom.The lattice vibrations were investigated in agreement with the dual variables system,and the dispersion relation was obtained by the symplectic mathematical method.Furthermore,the eigenfrequency was given by using the Wittrick Williams algorithm,thus the band gap was obtained.Comparing the results calculated by the present method with those by the traditional lumped mass method,it is obvious that there is a good agreement.However,the former is capable of improving the calculation accuracy and computational efficiency,and more importantly,is of better convergence.
"Every Couple Has Their Fights " Stigma and Subjective Narratives of Verbal Violence
Year: 2015

Drawing on thirty in depth interviews with individuals who have experienced verbal violence in intimate and family relationships, this article utilizes constructivist grounded theory to examine the tensions inherent in representations of verbal violence in the interview context. The authors find that participants discursively construct verbal violence as a normalized experience, discuss it as an escalating problem, and retrospectively define it as an intolerable form of abuse. These discursive constructions are related to social understandings of verbal violence as both a normal experience (fighting) and a stigmatized behavior (abuse) Normalization and defensive othering are discussed as techniques of identity management in light of the stigma attached to being a victim of abuse.
Personalized Multitask Learning for Predicting Tomorrow's Mood, Stress, and Health
Venue: IEEE Transactions on Affective Computing
Year: 2020

While accurately predicting mood and wellbeing could have a number of important clinical benefits, traditional machine learning (ML) methods frequently yield low performance in this domain. We posit that this is because a one size fits all machine learning model is inherently ill suited to predicting outcomes like mood and stress, which vary greatly due to individual differences. Therefore, we employ Multitask Learning (MTL) techniques to train personalized ML models which are customized to the needs of each individual, but still leverage data from across the population. Three formulations of MTL are compared: i) MTL deep neural networks, which share several hidden layers but have final layers unique to each task; ii) Multi task Multi Kernel learning, which feeds information across tasks through kernel weights on feature types; and iii) a Hierarchical Bayesian model in which tasks share a common Dirichlet Process prior. We offer the code for this work in open source. These techniques are investigated in the context of predicting future mood, stress, and health using data collected from surveys, wearable sensors, smartphone logs, and the weather. Empirical results demonstrate that using MTL to account for individual differences provides large performance improvements over traditional machine learning methods and provides personalized, actionable insights.
Career Success Criteria Clarity as a Predictor of Employment Outcomes
Venue: Frontiers in Psychology
Year: 2020

Drawing on the goal setting theory and social cognitive career theory (SCCT) this study empirically proposes an operational definition of career success criteria clarity (CSCC) and further explores its impact on career satisfaction, person job fit, and subjective well being through the mediating role of career decision making self efficacy (CDSE) A pilot study of 231 samples showed that the CSCC scale had good reliability and validity. To further test the effects of CSCC on crucial employment outcomes, as well as the mediating role of CDSE, 240 employees were included in an additional survey. Structural equation modeling path analysis supported all the expected hypotheses. Results indicated that: (1) CSCC was positively correlated to career satisfaction; (2) CSCC was positively correlated to person job fit; (3) CSCC was positively correlated to subjective well being; (4) CSCC was positively correlated to CDSE; (5) CDSE fully mediated the relationship between CSCC and career satisfaction; (6) CDSE fully mediated the relationship between CSCC and person job fit; and (7) CDSE partly mediated the relationship between CSCC and subjective well being. The results contributed to social cognitive career theory model and provided suggestions for both the career educators and consultants.
New Knowledge for Built Environments: Exploring Urban Design from Socio technical System Perspectives
Venue: HCI
Year: 2015

This paper details the value in exploring, applying and disseminating Human Factors methods in Urban Planning and Design. This innovative research recognises that from a paradigm perspective there are similarities between the challenges faced in both disciplines. The authors have applied Cognitive Work Analysis CWA to explore a range of built environment issues. The findings have allowed for a clearer interpretation of the systems relationships within urban design contexts from the functional purposes, to the important objects contained within them. This paper highlights the applications, and discusses the implications for future research and practice. It is concluded that the research contributes to a better understanding of the interdependencies between the designs, user experience and engineering requirements of key urban design projects.
Archaeogenomic evidence from the southwestern US points to a pre Hispanic scarlet macaw breeding colony
Venue: Proceedings of the National Academy of Sciences
Year: 2018

Archaeogenomic analysis of scarlet macaw bones demonstrates that the genetic diversity of these birds acquired by people in the southwestern United States (SW) between 900 and 1200 CE was exceedingly low. Only one mitochondrial DNA haplogroup (Haplo6) is present of the five historically known haplogroups in the lowland forests of Mexico and Central America. Phylogenetic analyses indicate the ancient macaw lineage in the SW shared genetic affinities with this wild lineage. These data support the hypothesis that a translocated breeding colony of scarlet macaws belonging to only one haplogroup existed some distance north of their endemic range, and SW peoples continuously acquired these birds from this unknown location for nearly 3 centuries, as no evidence currently exists for macaw breeding in SW. Hundreds of scarlet macaw (Ara macao cyanoptera) skeletons have been recovered from archaeological contexts in the southwestern United States and northwestern Mexico (SW/NW) The location of these skeletons, >1,000 km outside their Neotropical endemic range, has suggested a far reaching pre Hispanic acquisition network. Clear evidence for scarlet macaw breeding within this network is only known from the settlement of Paquime in NW dating between 1250 and 1450 CE. Although some scholars have speculated on the probable existence of earlier breeding centers in the SW/NW region, there has been no supporting evidence. In this study, we performed an ancient DNA analysis of scarlet macaws recovered from archaeological sites in Chaco Canyon and the contemporaneous Mimbres area of New Mexico. All samples were directly radiocarbon dated between 900 and 1200 CE. We reconstructed complete or near complete mitochondrial genome sequences of 14 scarlet macaws from five different sites. We observed remarkably low genetic diversity in this sample, consistent with breeding of a small founder population translocated outside their natural range. Phylogeographic comparisons of our ancient DNA mitogenomes with mitochondrial sequences from macaws collected during the last 200 years from their endemic Neotropical range identified genetic affinity between the ancient macaws and a single rare haplogroup (Haplo6) observed only among wild macaws in Mexico and northern Guatemala. Our results suggest that people at an undiscovered pre Hispanic settlement dating between 900 and 1200 CE managed a macaw breeding colony outside their endemic range and distributed these symbolically important birds through the SW.
Adaptive relaying to balance protection dependability with power system security
Venue: 2010 IEEE Region 8 International Conference on Computational Technologies in Electrical and Electronics Engineering (SIBIRCON)
Year: 2010

The 28 September 2003 blackout in Italy raised doubts about the ability of distance relays in distinguishing voltage collapse and remote short circuits. The combined presence of reduced voltages and high power flows may trigger distance relays, with the consequent tripping of healthy lines, reducing the system survivability. The paper addresses an analysis of the behavior of distance protections during the sequence of events that led to the separation of the Italian network from the UCTE (Union for the Coordination of Transmission of Electricity, nowadays updated to European Network of Transmission System Operator for Electricity ENTSOE E) power system. Preliminary studies aimed to develop an approach based on adapting relaying for mitigating the effects of cascading events, is presented. The under studying methodology allows to balance protection system dependability versus overall power system functional security. Preliminary test results are obtained by implementing this approach on a test case based on the Italian power system configuration.
Stainless Steel Electrochemical Corrosion Behaviors Induced by Sulphate Reducing Bacteria in Different Aerated Conditions
Year: 2012

The emphasis of this study lies in the differences of 304 stainless steel electrochemical corrosion behavior induced by the metabolic activity of Sulphate reducing bacteria (SRB) in a growth cycle under aerobic (oxygen saturated and air saturated culture solutions) and anaerobic (nitrogen saturated culture solutions) conditions. The corrosion process, bio film formation and the composition of the passive film in different conditions are investigated with electrochemical measurements, scanning electron microscopy and X ray photoelectron spectroscopy. Both open circuit potential and electrochemical impedance spectra results indicate that the metabolic activity of SRB can accelerate the electrochemical corrosion process of stainless steel in both aerobic and anaerobic conditions, although the bio film formed can inhibit the erosion of corrosive medium to some extent. The oxygen saturated environment can reduce the corrosion process by inhibiting the metabolic activity of SRB and promoting the passivation of stainless steel, but the air saturated environment presents little effect to the electrochemical property for the low concentration of oxygen. Furthermore, glomerate phenomenon can be observed from the biofilm formed in oxygen saturated culture solutions, indicating that SRB are prone to build localized anaerobic environment for its survival.
Dissecting impulsivity and its relationships to drug addictions
Venue: Annals of the New York Academy of Sciences
Year: 2014

Addictions are often characterized as forms of impulsive behavior. That said, it is often noted that impulsivity is a multidimensional construct, spanning several psychological domains. This review describes the relationship between varieties of impulsivity and addiction related behaviors, the nature of the causal relationship between the two, and the underlying neurobiological mechanisms that promote impulsive behaviors. We conclude that the available data strongly support the notion that impulsivity is both a risk factor for, and a consequence of, drug and alcohol consumption. While the evidence indicating that subtypes of impulsive behavior are uniquely informative either biologically or with respect to their relationships to addictions is convincing, multiple lines of study link distinct subtypes of impulsivity to low dopamine D2 receptor function and perturbed serotonergic transmission, revealing shared mechanisms between the subtypes. Therefore, a common biological framework involving monoaminergic transmitters in key frontostriatal circuits may link multiple forms of impulsivity to drug self administration and addiction related behaviors. Further dissection of these relationships is needed before the next phase of genetic and genomic discovery will be able to reveal the biological sources of the vulnerability for addiction indexed by impulsivity.
FACTORS THAT INFLUENCED TO THE STUDENT'S DECISION ON PARTICIPATING IN EXTRA CURRICULUM ACTIVITIES AT THE FACULTY OF SCIENCE AND TECHNOLOGY, SUAN SUNANDHA RAJABHAT UNIVERSITY.
Year: 2020

The objective of this research was to study factors influenced the student's decision on participating in extra curriculum activities at the Faculty of Science and Technology, Suan Sunandha Rajabhat University, Bangkok, Thailand. The instrument for collecting the data was questionnaires. The statistical methods use for analyzing data were frequency, percentage, mean, standard deviation and stepwise multiple regression analysis. The findings were 1) the level of opinion about factors affected on participated decision in extra curriculum activities were high in five aspects that rank from high to low were I) the benefits of activities, II) the activities format, III) the activities event location, IV) the public relations of activities, V) influenced by family and friends, and moderate in one aspect was the activities time period. 2) There were only 3 factors that influencing the student's decision on participation in extra curriculum activities were the activities format (b .550) the benefits of activities (b .281) and the activities time period (b .132) at the statistical significance .05 level. 3) From this study found that the student's decision to participate in extra curriculum activities were high level.
Simultaneously efficient light absorption and charge transport of phosphate and oxygen vacancy confined in bismuth tungstate atomic layers triggering robust solar CO2 reduction
Year: 2017

The fundamental catalytic limitations for the photoreduction of CO 2 still remain: low efficiency, poor charge transport and short lifetime of catalysts. To address the critical challenges, an efficient strategy based on spatial location engineering of phosphate (PO 4 and oxygen vacancy (V o confined in Bi 2 WO 6 (BWO) atomic layers is employed to establish and explore an intimate functional link between the electronic structures and activities of V o PO 4 BWO layers. Both theoretical and experimental results reveal, the V o PO 4 BWO layers not only narrow the band gap from the UV to visible light region but also reduce the resistance. The time resolved photoluminescence decay spectra exhibit the increasing carrier lifetime for V o PO 4 BWO layers, indicating the improved charge separation and transfer efficiency. As expected, the V o PO 4 BWO layers with the simultaneously efficient light absorption and charge transport properties achieve much higher methanol formation rate of 157 mmol g 1 h 1 over 2 and 262 times larger than that of BWO atomic layers and bulk BWO. This work may reveal that the light absorption and spatial charge transport over atomic layers could benefit CO 2 conversion and shed light on the design principles of efficient photocatalysts towards solar conversion applications.