Miracle-dz/UniFAR-FTUs huggingface dataset:
Invariant Manifold of Symmetric Orbits for Globally Optimal Biped Locomotion

Abstract This paper proposes novel walking gait generation for a double-pendulum-like biped walking model based on the family of the symmetric orbits. By introducing an involution R associated with the leg switching map, the flow of the saddle-center dynamics of the uncontrolled pendulum possesses time-reversal symmetry with respect to R, and the conjunction of the flow and R forms a family of symmetric orbits parameterized by the orbital energy and the stride. The invariant manifold of the family of symmetric orbits is obtained numerically or approximately using a perturbation method. The proposed methods are evaluated on numerical simulations. By constraining the solution onto the invariant manifold using the control inputs, stable walking gaits are generated in a semi-global manner in simulations. Based on the passivity of the closed-loop system, a robust speed-controlled walking is achieved in a very simple way.
Content-based Effectiveness Prediction of Video Advertisements

Advertisements are an integral part of internet economics and culture, and video ads are the most popular and arguably the most entertaining form of advertisements. With the recent growth in digital marketing, video ads have seen unprecedented growth and are growing in importance as an advertising means. Video ads are expensive to create and are not always effective. The effectiveness of a video ad is usually not known before its deployment, which is non-ideal for creators, advertisers, and ad platforms. In this paper, we outline an idea to provide feedback before an ad is placed on its effectiveness based on the video along with the historical data about the effectiveness of other video ads. We propose a multi-modal mixture based algorithm to predict the effectiveness automatically. Specifically, we exploit rich textual information often found with an advertisement as well as visual information to learn a finite mixture model. Our experiments on a publicly available dataset show that our approach can outperform other baseline approaches.
THE EFFECT OF INTERPRETERS IN INTERVIEW SETTINGS 3 The Effect of Interpreters on Eliciting Information

Background. The present experiment examined how the presence of an interpreter during investigative interviews affects eliciting information, cues to deceit and rapport. Method. A total of 60 native English speakers were interviewed in English and 183 nonnative English speakers were interviewed in English (a foreign language) or through an interpreter who interpreted their answers sentence by sentence (short consecutive interpretation) or summarised their answers (long consecutive interpretation). Interviewees discussed the job they had (truth tellers) or pretended to have (liars). Results. Interviewees who spoke through an interpreter provided less detail than interviewees who spoke in their first language and a foreign language (English) without an interpreter. Additionally, cues to deceit occurred more frequently when interviewees spoke without an interpreter. The presence of an interpreter had no effect on rapport. Conclusion. The findings suggest that at present there are no benefits to using an interpreter with regards to eliciting information. Future research should investigate how best to utilise an interpreter to gain maximum detail from an interview.
Direct Elicitation of Credit Constraints: Conceptual and Practical Issues with an Application to Peruvian Agriculture

This article provides a methodological bridge leading from the well‐developed theory of credit rationing to the less developed territory of empirically identifying credit constraints. We begin by developing a simple model showing that credit constraints may take three forms: quantity rationing, transaction cost rationing, and risk rationing. Each form adversely affects household resource allocation and thus should be accounted for in empirical analyses of credit market performance. We outline a survey strategy to directly elicit households’ status as unconstrained or constrained in the credit market and, if constrained, to further identify which of the three nonprice rationing mechanisms is at play. We discuss several practical issues that arise due to the use of a combination of “factual” and “interpretative” survey questions. Finally, using a farm‐level data set from Peru, we illustrate how the methodology can be used to estimate the impacts of credit constraints.
Essays on the economics of environmental regulation

Environmental regulations targeting producers are in place around much of the world. Yet, there is limited evidence of how firms are affected by these policies. This thesis provides new empirical and theoretical evidence on the effects of environmental regulation on producers. The first two chapters of this thesis explore a trend underway in much of the industrialized world: pollution from manufacturing has been falling despite increased output. In the first chapter, we develop a theoretical model to show the channels through which regulation can contribute to an industry’s “clean-up”. This model highlights the role that fixed costs producers must pay to adopt cleaner production processes play in dictating these channels. We show that if these fixed costs are relatively low, the adoption of cleaner processes will be the primary regulatory channel of an industry’s clean-up. However, if these fixed costs are relatively high, then plant exit and reductions in output from regulated plants will be the primary channels. The second chapter provides the first estimates of the regulatory channels of the manufacturing clean-up. We estimate the share of the Canadian manufacturing clean-up explained by the adoption of cleaner production processes, the reallocation of output across producers, and producer entry and exit. To do this, we examine a major revision to Canadian environmental policy using a novel, confidential dataset containing information on the production decisions and pollution emissions of Canadian manufacturing plants. We find regulation explains, at most, 61% of the Canadian clean-up, but the underlying channels differ strikingly across pollutants. A concern in debates over environmental regulation is a potential loss of international competitiveness among domestic producers. Despite its pervasiveness in policy discussions, evidence of these losses remains scarce. The third chapter of this thesis provides the first plantlevel estimates of the effect of air pollution regulation on exporting. We study the effects of the Canada-Wide Standards for Particulate Matter and Ozone on the decision to export and export volumes of Canadian manufacturing facilities. We find evidence that environmental regulation caused relatively low-productivity exporters to leave the export market, and reduced the amount surviving exporters sold abroad.
AUTOMATED LONG-TERM POLYSOMNOGRAPHY ANALYSIS WITH WAVELET PROCESSING AND ADAPTIVE FUZZY CLUSTERING

To assist in the inspection of sleep-related diagnosis and research, an adaptive method for processing long-term polysomnography (PSG) is proposed in this paper. The extracted features of segmented PSG based on wavelet analysis can be used for clustering the segments with similar pattern into a group. The adaptive fuzzy clustering was used to estimate the clusters within the PSG recordings, the optimal number of clusters and the optimal features of an individual subject. The novel method with the adaptive-to-subject concept exhibits four advantages in comparison with other approaches: (1) Full automated, (2) adaptive to the diversity of physiological signals among subjects, (3) less sensitive to noise and artifacts, (4) effective visualization of analysis results for clinicians. The simulation results show the superiority of the proposed method in long-term PSG analysis.
A Comparative Study of Various Clustering Approach for Intrusion Detection based on Mining Techniques

With the forthcoming area of internet, the network security has become a major issue for web application like business and financial and marketing. Intrusion Detection is one of the reveals to resolve the problem of network security. In recent years there are many techniques of intrusion detection based on mining. In this paper we discuss various techniques of anomaly detection is based on clustering and classification. Here, we discuss the techniques to resolve intrusion using mining technique and trained the data high detection rate and low false positive rate and comparison various mining algorithm with better performance and accuracy based on detection rate and false positive rate.
An Efficient Personalized POI Recommendation using PCA-SVM based Filtering and Classification

The rapid growth of cities has developed an increasing number of points of interest (POIs), e.g., restaurants, stores, hotels, etc; to enrich people’s life, providing us with more choices of life experiences than before. People are willing to explore the city and neighborhood in their daily life and decide “where they should go” according to their personal interest and various choices of POIs. The Existing Methodology implemented for the Filtering of POI Recommendation is efficient but contains less Precision and Recall, hence a new and efficient technique for the POI Recommendation using Principle Component Analysis with Support Vector Machine Learning is proposed which provides more efficient results in comparison.
Battery Losses In a MMC for BEVS Application

This paper analyses the Modular Multilevel Converter (MMC) topology, where each individual Sub Module (SM), in half bridge configuration, is directly fed by an elementary electrochemical cell.The aim is to investigate how the reference voltages influence the cells currents waveforms, determining how the active powers and the losses are distributed among the cells. Considering a 2-level Voltage Source Inverter (VSI) topology working in the same conditions, the ratio between the MMC total cells losses and VSI total cells losses is calculated. After showing the system architecture and mathematical model, the cells current waveform investigation is presented and detailed both for triangular and sinusoidal voltage reference waveform.Finally, the results are critically discussed with particular focus on the comparison between the MMC and the VSI topologies.
Developing regional and species-level assessments of climate change impacts on biodiversity in the Cape Floristic Region

We assess the potential impact of climate change on plant diversity in the Cape Floristic Region (CFR) and its interaction with land transformation that has already occurred in the region. Predictions were made both at the scale of the Fynbos Biome (the dominant vegetation assemblage in the CFR) and for selected Proteaceae species. Bioclimatic modelling identified parts of the biome at particular risk from climate change. Species-level modelling (Generalised Additive Modelling) was done for 28 Proteaceae species selected from areas at high risk of biome loss, revealing individualistic range changes in a pattern broadly consistent with biome modelling results. Most species experienced potential range contractions (17 of 28), of which five showed range elimination. Several species (11 of 28) showed potential range expansions. For species showing range contractions, current land transformation had less impact on future potential ranges than did climate change, because many species ranges shifted to higher altitudes where land transformation is currently less prevalent. Fewer than half of the high-risk species showed overlap between current and future potential range, showing that propagule transport, establishment of species in novel ranges and conservation of landscape linkages will be critical for maintenance of biodiversity. Methods described here provide useful forecasts of potential climate change impacts that could guide conservation responses, but results need cautious interpretation in the light of the many assumptions underlying the techniques used. # 2003 Elsevier Science Ltd. All rights reserved.
Finite Element Based Analysis of Magnetic Forces between Planar Spiral Coils

This paper elaborates on the magnetic forces between current carrying planar spiral coils. Direct and concentric rings methods are employed in order to calculate the magnetic force between these coils. The results obtained by two calculation methods show the efficiency of the replaced rings method in both simplicity and calculation time. Simula-tions using the Finite Element Method (FEM) are carried out to analyze the distribution of the magnetic flux density around the coils. Also, coils with precise size have been constructed and tested. The experimental results as well as the results obtained by FEM are used to validate the accuracy of the calculations.
Key region of laminin receptor 1 for interaction with human period 1

The 67 kDa laminin receptor 1 (Lamr1) is a novel protein that interacts with human circadian clock protein period 1 (hPer1). We confirmed the interaction between hPer1 and complete Lamr1 (295 amino acids) through yeast two-hybrid system in the present study. And we identified the interaction between hPer1 and hLamr11-190/hLamr1201-295 with yeast two-hybrid system. The results showed that hPer1 could interact with two partial Lamr1, which each contained a laminin-binding region, suggesting that both two partial sequences contained the binding region for hPer1. To define the key region of Lamr1 to interact with hPer1, pGADT7-Rec/hLamr11-190 was mutated with the palindromic sequence LMWWML, part LMW and WML, respectively. With yeast two-hybrid system, we found that hPer1 could not interact with Lamr1 mutated with LMWWML and LMW, but could interact with Lamr1 mutated with WML. It suggested that the palindromic sequence LMWWML in peptide G of Lamr1, especially LMW of it, was necessary for the interaction. Although, the palindromic sequence LMWWML is just the actual binding site for laminin. Together, these findings suggested that hPer1 might interact with Lamr1 by occupying the laminin-binding sites. It will be beneficial for studying the mechanism of hPer1 interaction with Lamr1. Key words : Laminin receptor 1 (Lamr1), human circadian clock protein period 1 (hPer1), interaction, yeast twohybrid, key region.
Spatial and temporal variation in elemental signatures of statoliths from the Patagonian longfin squid (Loligo gahi)

We quantified elemental signatures in statoliths of 718 Patagonian longfin squid ( Loligo gahi) collected in the vicinity of the Falkland Islands (southwest Atlantic) and at sites on the Patagonian Shelf and coastal Peru. All squid were assigned to a spawning cohort by size, spawning condition, and back-calculated spawning date based on daily increments in statoliths. The remaining statolith was then analyzed for six elemental ratios (Mg/Ca, Mn/Ca, Sr/Ca, Cd/Ca, Ba/Ca, and Pb/Ca) using high-resolution inductively coupled plasma mass spectrometry (ICP-MS). Ele- mental concentrations in the statoliths were broadly similar to other biogenic aragonites. Differences in Sr/Ca ratios in statoliths among geographic locations were generally consistent with a negative correlation between Sr/Ca and tempera- ture. Variations in statolith Cd/Ca and Ba/Ca values confirmed that during winter months, the squid were foraging deeper in the water column. Both Mg/Ca and Mn/Ca ratios in statoliths decreased with squid size, probably corre- sponding to a decrease in the contribution of the organic component of the statolith. Elemental signatures in the statoliths of L. gahi varied significantly geographically and between spring- and autumn-spawned cohorts, which must therefore have spent significant portions of their life histories in different environments. Resume : Nous avons quantifie les signatures d'elements dans les statolithes de 718 calmars patagons (Loligo gahi) recoltes dans les environs des iles Falkland (Atlantique sud) et a certains sites sur la plate-forme patagonienne et la cote du Perou. Tous les calmars ont ete assignes a une cohorte de fraye d'apres leur taille, leur etat reproductif et leur date de fraye determinee par retrocalcul a partir des couches de croissance journaliere sur les statolithes. Nous avons determine six rapports d'elements dans le second statolithe, soit Mg/Ca, Mn/Ca, Sr/Ca, Cd/Ca, Ba/Ca et Pb/Ca, apres une analyse par spectrometrie de masse a source de plasma a couplage inductif (ICP-MS) de haute resolution. Les concentrations d'elements dans les statolithes sont grossierement semblables a celles des autres aragonites d'origine biologique. Les differences de Sr/Ca dans les statolithes provenant des diverses localites geographiques s'accordent en general avec la correlation negative qui existe entre Sr/Ca et la temperature. Les variations de Cd/Ca et de Ba/Ca dans les statolithes confirment que durant les mois d'hiver les calmars recherchent leur nourriture a de plus grandes profon - deurs dans la colonne d'eau. Les rapports Mg/Ca et Mn/Ca declinent tous les deux a mesure que le calmar grandit, ce qui correspond probablement a une diminution de la contribution de la composante organique du statolithe. Les signa- tures des elements des statolithes de L. gahi varient de facon significative en fonction du site geographique, ainsi qu'entre les cohortes pondues au printemps et a l'automne, qui doivent alors avoir passe une partie significative de leur temps dans des environnements differents.
Molecular Characterization and Screening for Fusarium (Fusarium solani) Resistance in Chilli (Capsicum annuum L.) Genotypes

The chilli crop suffers from many diseases among these wilt, anthracnose, murda complex, leaf spot, and powdery mildew are major problems. Wilt caused by Fusarium solani is the principal disease of chilli and has assumed a serious problem during the last few years and is causing a great concern to vegetable growers. Average losses due to this disease are up to 30 to 40 per cent and in some fields it was so serious that every plant was killed by wilt before first picking. It was more serious in chilli growing tracts of India Singh et al., 1998 and also in Karnataka particularly in black cotton soil results up to 25 per cent yield loss (Madhukar and Naik, 2004). The incidence of wilt varied from 0 to 75 per cent in different states of India (Anon., 2005). Host plant resistance has been a choice in all crop improvement programmes and is perhaps the best method available to tackle the soil borne diseases in particular. Fusarium wilt is a typical soil borne disease which can be mitigated appropriately by use of disease resistant cultivars. Further the use of resistant variety will go a long way not only in reducing loss due to disease but also in International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 6 Number 9 (2017) pp. 1585-1597 Journal homepage: http://www.ijcmas. com
Number-resolved imaging of excited-state atoms using a scanning autoionization microscope

We report on a scanning microscopy technique for atom-number-resolved imaging of excited-state atoms. A tightly focused laser beam leads to local autoionization and the resulting ions are counted electronically. Scanning the beam across the cloud builds up an image of the density distribution of excited atoms, with access to the full counting statistics at each spatial sampling point and an overall detection efficiency of 21% . We apply this technique to the measurement of a spatially inhomogeneous electric field with a spatial resolution of 50 μ m and a sensitivity to electric-field gradients of 0.04 V cm −2 .
Seasonal Transition of SST Anomalies in the Tropical Indian Ocean during El Nino and Indian Ocean Dipole Years

We investigated seasonal transition of dominant modes of sea surface temperature anomalies (SSTAs) in the tropical Indian Ocean, analyzing the National Centers for Environmental Prediction/ National Center for Atmospheric Research reanalysis products (NCEP/NCAR reanalyses), the Global sea-Ice and SST dataset (GISST2.3b), and the Simple Ocean Data Assimilation (SODA). During the coincidence years when the Indian Ocean Dipole (IOD) is followed by the major El Nino during boreal autumn-winter season, surface dipole structure in the tropical Indian Ocean tends to turn into the basinwide warm pattern in the November-December period. In contrast, the subsurface dipole keeps its structure from boreal autumn to winter. Such a surface-confined transition of SSTA is induced by latent heat flux anomalies in the eastern Indian Ocean. These latent heat flux anomalies are associated with changes in scalar wind speed anomalies. The zonal direction of climatological surface winds changes from easterly into westerly over the eastern Indian Ocean in November-December, while the anomalous Walker circulation during the El Nino induces easterly surface wind anomalies to persist there. As a result, deceleration of scalar wind speed takes place during boreal winter, and leads to warming of SST through suppressed evaporation. In addition to these latent heat flux anomalies, incoming solar radiation anomalies contribute to the net surface warming during this period. Furthermore, we discuss the role of the ocean dynamics for keeping the warm SSTAs in the western Indian Ocean.
Algorithms for Tracking Moving Targets: A Review

Currently there is a huge variety of methods that have been developed to determine the location of a moving object using digital image. Multiple approaches have been proposed in the ﬁeld of computational vision such as: obtaining parameters of position and velocity of an object over time; following suspicious people in a given environment; automating the collection of information of vehicle plates; moving a camera to automatically follow a ball in a soccer match; or deciding whether a product on a production line in the industry is within the quality standards. This article compiles a brief summary of four techniques related to tracking objects in digital videos. The objective of this work is to present some of the main methods developed so far, show the general structure of the algorithm, address the mathematical fun-damentals and their characteristics, and list the important papers and applications that use them. The review is based on some of the work and theory of methods performed so far. The progress made so far and the main challenges still unresolved will also be evaluated. Among the several studies, was observed that the various techniques can be used in various combinations to solve a given problem in computer vision, thus mastering such topics is essential for the development of technology in computer vision systems.
Can I tell just by myself? : Discussing a parental mental disorder with a child in a research interview

In this single-case study, we focus on how to have a dialogue in a research interview with a child whose parent has been diagnosed with a mental disorder. The interactional context and the interviewer’s role in co-constructing the child’s accounts have been largely neglected in the qualitative psychological research on this subject. Stigma related to mental disorders is increasingly being recognized as a central issue for the entire mental health field. It is considered to have far-reaching effects on the social interaction of the stigmatized person and also to contaminate the interactions of those around that person. We examine how the stigma of a parental mental disorder arises and is negotiated in the dialogue between an 8-year-old girl and a female interviewer. The perspective of the study is micro-sociological and constructionist. Three categories of the child’s talk were identified: actively describing her position and voice in the ongoing dialogue, normalization of the parental problem and herself, and talking about shame and embarrassment.