Miracle-dz/UniFAR-FTUs huggingface dataset:
THE PROBLEM OF THE PERMANENTLY TILTED

Research suggests that people initially take their subjective experience of an object as an accurate reflection of the object’s properties, and only subsequently, occasionally, and effortfully consider the possibility that their experience was influenced by extraneous factors. The two studies reported here demonstrate that this is true even when the extraneous factors are the person’s own dispositions. Dispositionally happy and unhappy participants were falsely told that they had been subliminally primed with words that might have influenced their moods, and were then asked to identify those words. Dispositionally happy participants were more likely than dispositionally unhappy participants to conclude that they had been primed with positive words, but only when they made these judgments under time pressure. The results are discussed in terms of correction models of human judgment. When our senses do actually convey into our understandings any idea, we cannot but be satisfied that there doth something at that time really exist without us, which doth affect our senses, and by them give notice of itself to our apprehensive faculties, and actually produce that idea which we then
Contested Values and Practices in Coastal Adaptation to Climate Change

Die vorliegende Arbeit untersucht am Beispiel von drei US-Staaten entlang der Atlantikkuste die Konstruktion von Werten und Praktiken, die Risikowahrnehmung und Handlungsbereitschaft in Bezug auf Kustenschutz und Anpassung an den Klimawandel beeinflussen. Die Studie basiert auf einer Diskursanalyse fur drei lokale Zeitungen, einer Literaturrecherche sowie der Auswertung einer Umfrage unter Entscheidungstragern. Die Ergebnisse zeigen, dass es in der Diskussion um Klimawandel und Kustenmanagement vier grose Bereiche gibt, in denen unterschiedliche Auffassungen aufeinandertreffen: die Wahrnehmung von Risiken, das Wissen uber den Klimawandel, das Vertrauen in Wissenschaft und Politik sowie Wertvorstellungen. Im Untersuchungsgebiet dominieren derzeit Werte und Praktiken, die die Umsetzung von Strategien zur Anpassung an den Klimawandel verhindern. Wenngleich in der Bevolkerung auch Einstellungen vorhanden sind, die der Anpassung an den Klimawandel forderlich sein konnen, finden diese im bestehenden Planungssystem kaum Beachtung.
Does floral herbivory reduce pollination-mediated fitness in shelter rewarding Royal Irises?

Florivory, the damage to flowers by herbivores, can make flowers less attractive to pollinators. Even when pollinated, flower consumed by florivores may fail to produce fruit or will produce lower seed set. Despite the widespread evidence of florivory across ecosystems and plant taxa, only a few studies tested experimentally the interaction of florivory and pollination by manipulative study. We studied the effect of two levels of florivory on both pollinator visitation and reproductive success over two flowering seasons in three Iris species. We hypothesized that florivory will reduce pollen deposition due to reduced attractiveness to pollinators, and that fruiting probability and seed set will depend on the extent of florivory. We performed artificial florivory treatments, representing high, low, and no florivory (control) in two experiments. In the first experiment, each of the three floral units of the same flower was subject to either low, high or no artificial florivory, after which we counted the number of pollen grains present on the stigma. In the second experiment, three flowers of the same plant were treated and were further recorded for fruit and seed production. Surprisingly, and against our hypotheses, in all three species no significant effect was found among and between florivory treatments and control, neither in pollen grain deposited nor in fruit and seed set. The results undermine the assumption that flower herbivory is necessarily antagonistic interaction and suggests that florivores are not strong selection agents on floral reproductive biology in the Oncocyclus irises.
Convex Relaxation Methods for Image Segmentation and Stereo Reconstruction

The thesis presents advances in several important fields of computer vision: image segmentation, object tracking, stereo reconstruction for depth map estimation and full 3D multi-view reconstruction. In this thesis, the basic method applied to these fields is convex relaxation. Convex relaxation methods allow for global optimization of numerous energy functionals and hence are a step towards less user input and more automation.
Identification of Key Nodes in Aircraft State Network Based on Complex Network Theory

With the development of aviation, the air traffic density in the terminal area is high and the traffic situation is relatively complex, which brings challenges to the flight deployment. In order to fully understand the air flight situation and provide decision-making basis for controllers, this paper proposes a key conflict aircraft identification method based on complex network theory and node deletion method. First, an aircraft state network is constructed with an aircraft as nodes and airborne collision avoidance system (ACAS) communication relations as edges. Network efficiency, network robustness, connection density, and largest component were used as the indexes of network performance. The weight of each index is determined by using AHP-entropy weight method. A multi-attribute decision-making method was introduced to quantify network performance. Then we used a node deletion method to determine key conflict aircrafts. The simulation and experiment are respectively carried out on the artificial network and the aircraft state network of a certain day in the terminal area of Kunming Changshui Airport. The results show that the method proposed in this paper can identify the key conflict points in the aircraft state network. The deployment of selected nodes can not only effectively reduce the complexity of the flight state network, but also provide a reference for air traffic control services and reduce the control difficulty of the controller.
Rotor Position Estimation of Brushless Synchronous Starter/Generators by Using the Main Exciter as a Position Sensor

Persistent signal injection in traditional sensorless methods leads to loss, noise, reduction of the starting torque of the main generator (MG) of the brushless synchronous starter/generator (BSSG), and complicated demodulation methods. Moreover, the reversible magnetic saliency of MG and multiple rectification modes of the rotating rectifier cause errors to most existing sensorless solutions of BSSG. To avoid these drawbacks, this paper proposes a novel method to estimate the rotor position of MG for zero- and low-speed operation. Since MG and the main exciter (ME) are mounted on the same shaft, ME is used as a position sensor, eliminating concerns of the reversible magnetic saliency of MG. With reliable indicators in all rectification modes, the position of ME is extracted from the hexagonal trajectory of the rotor current space vector of ME, which is caused by the rotating rectifier. With the estimated position of ME and signal injection into the stator of MG at standstill, the initial position of MG is detected. Then, signal injection is no longer needed and the continuous position of MG is obtained from the estimated rotation angle of ME and initial position of MG. Finally, the effectiveness of this method is verified by experiments.
Use of complex systems modelling to strengthen public health’s role in preventing war

The theoretical framework that public health uses as a basis for research and practice determines the scope, content and relevance of both (McMichael 1999). The use of conceptual frameworks or models can help identify the flow of causal factors, their mechanisms and their inter-relationships. Frameworks help researchers identify relationships, form hypotheses for testing, select analytic approaches (Diez-Roux 2008; Weitkunat and Wildner 2002) and identify areas for implementation in practice (Carpiano and Daley 2006a). The purpose of this article is to: (1) summarize and critique the application of the disease prevention continuum framework to war, (2) describe the use of complex systems modelling in understanding the prevention of war and (3) recommend initial steps for public health’s adoption of complex systems modelling to the prevention of war. The goal is to encourage public health professionals to increase their engagement in the prevention of war.
Augmenting experiences — A bridge between two universities

In different projects, Media Design students from Moholy-Nagy University of Art and Design (MOME) and programming students from Eötvös Loránd University (ELTE) produce a braid supplementing each other to produce a productive workshop for urban games and museum applications. In this paper we introduce projects where AR and mixed reality technologies, in the broadest sense, are used to enhance experience in musea and in a city. By bringing together students of different background and exploiting the artistic, creative approach and the professional ICT knowledge and skills, novel applications come to life, as well as a new way of learning is demonstrated. In order to experience technology and use it as a tool for collaboration a platform for step-wise immersion was developed, introduced and used to invoke innovative ideas.
Exact solitary wave solutions by extended rational sine-cosine and extended rational sinh-cosh techniques

Solitonic solutions have become a popular topic among traveling wave solutions since they act as a bridge between mathematics and physics. In this article, two newly developed methods, namely the extended rational sine-cosine method and extended rational sinh-cosh method by means of fractional complex transform are applied to construct the exact solutions in the form of hyperbolic, trigonometric and rational functions of the nonlinear fractional Phi-4 equation. The obtained solutions are further expressed by solitons, dark solitons, periodic and kink wave solutions. The proposed methods analyze the possibility of the existence of limit cycles with specific parameters.
Neurobiological Correlates of Delusion: Beyond the Salience Attribution Hypothesis

Dopamine dysfunction is a mainstay of theories aimed to explain the neurobiological correlates of schizophrenia symptoms, particularly positive symptoms such as delusions and passivity phenomena. Based on studies revealing dopamine dysfunction in addiction research, it has been suggested that phasic or chaotic firing of dopaminergic neurons projecting to the (ventral) striatum attribute salience to otherwise irrelevant stimuli and thus contribute to delusional mood and delusion formation. Indeed, several neuroimaging studies revealed that neuronal encoding of usually irrelevant versus relevant stimuli is blunted in unmedicated schizophrenia patients, suggesting that some stimuli that are irrelevant for healthy controls acquire increased salience for psychotic patients. However, salience attribution per se may not suffice to explain anxieties and feelings of threat that often accompany paranoid ideation. Here, we suggest that beyond ventral striatal dysfunction, dopaminergic dysregulation in limbic areas such as the amygdala in interaction with prefrontal and temporal cortex may contribute to the formation of delusions and negative symptoms. Neuroleptic medication, on the other hand, appears to interfere with anticipation of reward in the ventral striatum and can thus contribute to secondary negative symptoms such as apathy and avolition.
Genome Analysis of a Novel Shiga Toxin 1 (Stx1)-Converting Phage Which Is Closely Related to Stx2-Converting Phages but Not to Other Stx1-Converting Phages

ABSTRACT Two Stx-converting phages, designated Stx1φ and Stx2φ-II, were isolated from an Escherichia coli O157:H7 strain, Morioka V526, and their entire nucleotide sequences were determined. The genomes of both phages were similar except for the stx gene-flanking regions. Comparing these phages to other known Stx-converting phages, we concluded that Stx1φ is a novel Stx1-converting phage closely related to Stx2-converting phages so far reported.
Detecting advanced stages of winter wheat yellow rust and aphid infection using RapidEye data in North China Plain

Yellow rust (Puccinia striiformis f. sp. Tritici) and aphid (Sitobion avenae F.) are two major biotic factors threatening winter wheat growth in the main growing region in northern China. The goal of this study was to develop a remote sensing based approach to reliably detect and discriminate yellow rust and aphid infection. The study was conducted in the North China Plain in 2017 based on RapidEye satellite images using three supervised classification algorithms, the maximum-likelihood classifier, the support vector machine, and the random forest. An overall accuracy of above 60% for aphid and above 70% for yellow rust can be achieved using a single image (May 7 or 10, 2017) with any of the three algorithms. With multi-temporal images, the overall accuracies both increased for aphid and yellow rust (above 70% and above 78%). Using the image acquired on 23 May 2017, joint infections by yellow rust and aphid can be detected with satisfaction (>73% overall accuracy), although confusion exists between the two infections. This study demonstrates that winter wheat disease/pest infection can be detected with remote sensing technologies, providing decision support to farmers, insurance companies, and government organizations in the agriculture sector.
Retention of Campylobacter (Campylobacterales: Campylobacteraceae) in the House Fly (Diptera: Muscidae)

ABSTRACT The house fly (Musca domestica L.) may transmit Campylobacter to broiler flocks. We assessed the retention time of house flies for Campylobacter jejuni at five temperatures and three doses. Flies were inoculated individually at their proboscis with 1.6 × 107 CFU (colony forming units) of C. jejuni and incubated at 15, 20, 25, 30, and 35°C. Furthermore, a dose experiment was conducted at 25°C where individual flies were inoculated in three series: 6.5 × 106, 6.0 × 104, and 8.2 × 102 C. jejuni CFU. Whole flies were tested for C. jejuni carriage at 0, 6, 12, 18, and 24 h by initial preenrichment in Bolton broth, which afterwards was streaked on modified mCCDA agar plates and incubated under micro-aerobic conditions. The results showed that the time C. jejuni remained in flies declined over time with ascending temperatures and when reducing the inoculation dose. All flies stayed Campylobacter positive 24 h postinoculation at 15°C whereas only one-third of the flies were positive at 20°C and few to none at 25, 30, and 35°C. When combinations of temperature and retention time were expressed as accumulated day-degrees, data could be adequately fitted using a generalized linear mixed model that included a linear effect of day-degrees and the difference between the lowest and the two highest doses. Based on model predictions of selected combinations of temperature and dose, the time for 50% and 1% of flies containing Campylobacter was calculated. It is suggested that house flies are mainly short distance carriers of C. jejuni.
Rating by Ranking: An Improved Scale for Judgement-Based Labels

Labels representing value judgements are commonly elicited using an interval scale of absolute values. Data collected in such a manner is not always reliable. Psychologists have long recognized a number of biases to whichmany human raters are prone, andwhich result in disagreement among raters as to the true gold standard rating of any particular object. We hypothesize that the issues arising from rater bias may be mitigated by treating the data received as an ordered set of preferences rather than a collection of absolute values. We experiment on real-world and artificially generated data, finding that treating label ratings as ordinal, rather than interval data results in an increased inter-rater reliability. This finding has the potential to improve the efficiency of data collection for applications such as Top-N recommender systems; where we are primarily interested in the ranked order of items, rather than the absolute scores which they have been assigned. ACM Reference format: Jack O’Neill, Sarah Jane Delany, and Brian Mac Namee. 2017. Rating by Ranking: An Improved Scale for Judgement-Based Labels. In Proceedings of Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, Como, Italy, August 27, 2017, 6 pages.
Design and implementing of a novel resonant switched-capacitor converter for improving balancing speed of lithium-ion battery cells

Active topologies based on the Switched-Capacitor converters (SCC) are used for battery cell balancing because they eliminate magnetic elements effectively. In addition, these converters have easier implementation, integration capability, and reduced size. Despite of all these benefits, SCCs suffer from some disadvantages such as increased number of active switches, edge current, low balancing speed, and high switching losses. In this paper, a chain resonant SCC is introduced which can realize soft switching condition at zero current, limiting edge current, and increasing the balancing speed to overcome the problems of SCCs. To confirm the operation of the proposed converter, a chain resonant SCC with the capacity of 2150 mAh, the nominal voltage of 3.6 V, and the switching frequency of 50 kHz is simulated in MATLAB/SIMULINK, and implemented in the laboratory. The simulation and implementation results of the converter approve the correctness of the converter performance.
A SPATIAL ANALYSIS OF SUPPLEMENTAL NUTRITION ASSISTANCE PROGRAM AND ECONOMIC CONDITIONS IN THE APPALACHIAN REGION RESEARCH PAPER 2010-8

Supplemental Nutrition Assistance Program (SNAP) helps low income people and families buy food they need for good health. The main objective of this study is to examine the effects of changes in the economic conditions and welfare on SNAP participation in the Appalachian region. The study employs county level data to capture variation in SNAP participation. Spatial econometric models are developed to examine the relationship among the economic and business cycle conditions, changes in welfare reforms, demographic and household attributes, institutional factors, and SNAP participation. The findings from this study could be helpful in improving welfare programs in this region.
Population selection and sequencing of C. elegans wild isolates identifies a region on chromosome III affecting starvation resistance

To understand the genetic basis of complex traits, it is important to be able to efficiently phenotype many genetically distinct individuals. In the nematode Caenorhabditis elegans, individuals have been isolated from diverse populations around the globe and whole-genome sequenced. As a result, hundreds of wild strains with known genome sequences can be used for genome-wide association studies (GWAS). However, phenotypic analysis of these strains can be laborious, particularly for quantitative traits requiring multiple measurements per strain. Starvation resistance is likely a fitness-proximal trait for nematodes, and it is related to metabolic disease risk in humans. However, natural variation in C. elegans starvation resistance has not been characterized, and precise measurement of the trait is time-intensive. Here, we developed a population selection and sequencing-based approach to phenotype starvation resistance in a pool of 96 wild strains. We used restriction site-associated DNA sequencing (RAD-seq) to infer the frequency of each strain among survivors in a mixed culture over time during starvation. We used manual starvation survival assays to validate the trait data, confirming that strains that increased in frequency over time are starvation-resistant relative to strains that decreased in frequency. These results document natural variation in starvation resistance. Further, we found that variation in starvation resistance is significantly associated with variation at a region on chromosome III. Using a near-isogenic line (NIL), we showed the importance of this genomic interval for starvation resistance. This study demonstrates the feasibility of using population selection and sequencing in an animal model for phenotypic analyses of quantitative traits, reveals natural variation of starvation resistance in C. elegans, and identifies a genomic region that contributes to such variation.
A Matchmaking Strategy Of Mixed Resource On Cloud Computing Environment

Today, cloud computing has become a key technology for online allotment of computing resources and online storage of user data in a lower cost, where computing resources are available all the time, over the Internet with pay per use concept. Recently, there is a growing need for resource management strategies in a cloud computing environment that encompass both end-users satisfaction and a high job submission throughput with appropriate scheduling. One of the major and essential issues in resource management is related to allocate incoming tasks to suitable virtual machine (matchmaking). The main objective of this paper is to propose a matchmaking strategy between the incoming requests and various resources in the cloud environment to satisfy the requirements of users and to load balance the workload on resources. Load Balancing is an important aspect of resource management in a cloud computing environment. So, this paper proposes a dynamic weight active monitor (DWAM) load balance algorithm, which allocates on the fly the incoming requests to the all available virtual machines in an efficient manner, in order to achieve better performance parameters such as response time, processing time and resource utilization. The feasibility of the proposed algorithm is analyzed using Cloudsim simulator, which proves the superiority of the proposed DWAM algorithm over its counterparts in literature. Simulation results demonstrate that proposed algorithm dramatically improves response time, data processing time and more utilized of resource compared Active monitor and VM-assign algorithms.
Late Cenozoic Uplift of Denali and Its Relation to Relative Plate Motion and Fault Morphology

Apatite fission-track analysis of samples that cover a 4-kilometer vertical section from the western flank of Denali (Mount McKinley), North America's highest mountain, suggests that the mountain massif was formed by rapid uplift (> 1 kilometer per million years) beginning ∼6 million years ago (Ma). Uplift was a result of the morphology of the Denali fault and a change in motion of the Pacific plate with respect to North America at ∼5 Ma, which created opposing tangential vectors of relative movement along the fault and forced the intervening crustal blocks upward.
Analytical Model for the Dynamic Behavior of Triple-Gate Junctionless Nanowire Transistors

This paper presents an analytical model for the intrinsic capacitances and transconductances of triple-gate junctionless nanowire transistors. The model is based on a surface-potential drain current model, which includes short-channel effects, and accounts for the dependences on the device dimensions, doping concentration, and quantum effects. It is validated with 3-D Technology Computer-Aided Design (TCAD) simulations for several device characteristics and biases as well as with the experimental results.
Lung nodules detection by ensemble classification

A method is presented that achieves lung nodule detection by classification of nodule and non-nodule patterns. It is based on random forests which are ensemble learners that grow classification trees. Each tree produces a classification decision, and an integrated output is calculated. The performance of the developed method is compared against that of the support vector machine and the decision tree methods. Three experiments are performed using lung scans of 32 patients including thousands of images within which nodule locations are marked by expert radiologists. The classification errors and execution times are presented and discussed. The lowest classification error (2.4%) has been produced by the developed method.