Miracle-dz/UniFAR-FTUs huggingface dataset:
A vision-based strategy for autonomous lift operation

Efficiency and accuracy are two crucial factors for autonomous robot operation. In this paper, we present a vision-based strategy for autonomous lift operation including panel and button detection method using a webcam. Two key problems are (1) scale variance during lift operation and (2) image deformation caused by the angle between robot and target. The approach presented here demonstrates its capability of handling these problems. The process has three steps: (1) panel hunting for a coarse localization; (2) panel verification at a close distance; and (3) button detection and localization. Our method shows the weak perspective model outperforms the affine model.
Feline Immunodeficiency Virus Cell Entry

ABSTRACT The process of feline immunodeficiency virus (FIV) cell entry was examined using assays for virus replication intermediates. FIV subtype B was found to utilize the chemokine receptor CXCR4, but not CCR5, as a cellular receptor. Zidovudine blocked formation of late viral replication products most effectively, including circular DNA genome intermediates. Our findings extend the role of CXCR4 as a primary receptor for CD4-independent cell entry by FIV.
Evolution of Lutropin to Chorionic Gonadotropin Generates a Specific Routing Signal for Apical Release in Vivo *

One of the fundamental differences among mammals is the mechanism of maintaining the corpus luteum of pregnancy. Placentation in primates is associated with the production of the glycoprotein hormone chorionic gonadotropin (CG), which is secreted into the maternal serum and stimulates progesterone synthesis from the corpus luteum, which is essential for early development of the embryo. CG together with the pituitary hormones lutropin (LH), follitropin, and thyrotropin constitute the family of glycoprotein hormones comprised of a common α subunit and a hormone-specific β subunit. The LHβ and CGβ subunits share 85% amino acid sequence identity, and functionally LH and CG are interchangeable. CGβ evolved by a recent gene duplication event from the LHβ locus, and despite the close relationship between them, their modes of secretion are quite different. CG release from the placenta is apically directed, whereas LH is released from the basal side of the cell, and the determinant(s) for this redirected trafficking are unknown. Here, using the polarized Madin-Darby canine kidney (MDCK) cell line, we provide evidence for the molecular basis of the different secretory patterns of LH and CGin vivo. The apical targeting of CG is programmed by a carboxyl-terminal sequence, which encodes a novel sorting signal. It is also apparent that the presence of the O-linked oligosaccharides in the CTP sequence contributes to this apical routing. The CTP, which is absent in LH, redirects CG to the maternal serum and permits the unique arrangement for primate placentation. Our data also show that the MDCK cells can distinguish the different secretory pathways for the gonadotropins and will be a valuable model for elucidating the determinants associated with the unique sorting of these functionally related hormones.
The Labor Market and Macro Volatility: A Nonstationary General-Equilibrium Analysis

The evolution of the aggregate labor market is far from smooth. I investigate the success of a macro model in replicating the observed levels of volatility of unemployment and other key variables. I take variations in productivity growth and in exogenous product demand (government purchases plus net exports) as the primary exogenous sources of fluctuations. The macro model embodies new ideas about the labor market, all based on equilibrium %u2013 the models I consider do not rest on inefficiency in the use of labor caused by an inappropriate wage. I find that non-standard features of the labor market are essential for understanding the volatility of unemployment. These models include simple equilibrium wage stickiness, where the sticky wage is an equilibrium selection rule. A second model based on modern bargaining theory delivers a different kind of stickiness and has a unique equilibrium. A third model posits fluctuations in matching efficiency that may arise from variations over time in the information about prospective jobs among job-seekers. Reasonable calibrations of each of the three models match the observed volatility of unemployment.
Reducing Uncertainty in User-independent Activity Recognition - A Sensor Fusion-based Approach

In this study, a novel user-independent method to recognize activities accurately in situations where traditional accelerometer based classification contains a lot of uncertainty is presented. The method uses two recognition models: one using only accelerometer data and other based on sensor fusion. However, as a sensor fusionbased method is known to consume more battery than an accelerometer-based, sensor fusion is only used when the classification result obtained using acceleration contains uncertainty and, therefore, is unreliable. This reliability is measured based on the posterior probabilities of the classification result and it is studied in the article how high the probability needs to be to consider it reliable. The method is tested using two data sets: daily activity data set collected using accelerometer and magnetometer, and tool recognition data set consisting of data from accelerometer and gyroscope measurements. The results show that by applying the presented method, the recognition rates can be improved compared to using only accelerometers. It was noted that all the classification results should not be trusted as posterior probabilities under 95% cannot be considered reliable, and by replacing these results with the results of sensor fusion -based model, the recognition accuracy improves from three to six percentage units.
Characterization of the Volatile Substances and Aroma Components from Traditional Soypaste

In this study, the flavor substances of soypaste were extracted by a simultaneous distillation method and identified by GC-MS. The characteristic aroma components of soypaste were determined by the GC-O technique and the FD value of the characteristic aroma components was determined by AEDA method. It could be inferred that the aroma of the soypaste should be attributed to the presence of heterocyclic compounds and organic acids, with the heterocyclic compounds playing a prominent role.
Microstructure-based hyperelastic models for closed-cell solids

For cellular bodies involving large elastic deformations, mesoscopic continuum models that take into account the interplay between the geometry and the microstructural responses of the constituents are developed, analysed and compared with finite-element simulations of cellular structures with different architecture. For these models, constitutive restrictions for the physical plausibility of the material responses are established, and global descriptors such as nonlinear elastic and shear moduli and Poisson’s ratio are obtained from the material characteristics of the constituents. Numerical results show that these models capture well the mechanical responses of finite-element simulations for three-dimensional periodic structures of neo-Hookean material with closed cells under large tension. In particular, the mesoscopic models predict the macroscopic stiffening of the structure when the stiffness of the cell-core increases.
Enforcing Privacy Using Symmetric Random Key-Set in Vehicular Networks

Vehicular networks have attracted extensive attentions in recent years for their promises in improving safety and enabling other value-added services. Security and privacy are two integrated issues in the deployment of vehicular networks. Privacy-preserving authentication is a key technique in addressing these two issues. We propose a random keyset based authentication protocol that preserves user privacy under the zero-trust policy, in which no central authority is trusted with the user privacy. We show that the protocol can efficiently authenticate users without compromising their privacy with theoretical analysis. Malicious user identification and key revocation are also described
Return to work : the value of the occupational therapy in upper extremity physical disability

The present case study discusses the occupational therapy intervention for a client seen in an outpatient clinical setting. The client had residual impairment after having a right forminotomy and microdisectomy in the cervical region of the spine. After surgery, the client continued to have weakness and decreased functional use of the right upper extremity secondary to nerve impairment. The client decreased active range of motion and weakness in the right upper extremity. Occupational therapy was referred to in this client’s case in order to help the client with return to work needs and further assist in functional rehabilitation of right hand use. The client worked both as a data-entry clerk and a cashier and the goal of occupational therapy was to return the client to both jobs. Intervention techniques employed both Mosey’s Role Acquisition and the biomechanical models of practice. Use of the Role Acquisition model of practice was seen as valuable and unique in the outpatient clinical setting where the focus in primarily on physical disabilities. The model of practice guided the intervention with specific focus on the teaching-learning process and simulated to naturalistic occupations. With the use of dynamic splinting, jobsite evaluation, and occupational interventions the client was able to return to working at both jobs. The value of the occupational therapist engaging in community-based practice and acting as a care coordinator is also discussed.
Macroevolutionary assembly of ant/plant symbioses: Pseudomyrmex ants and their ant-housing plants in the Neotropics

Symbioses include some of the clearest cases of coevolution, but their origin, loss or reassembly with different partners can rarely be inferred. Here we use ant/plant symbioses involving three plant clades to investigate the evolution of symbioses. We generated phylogenies for the big-eyed arboreal ants (Pseudomyrmecinae), including 72% of their 286 species, as well as for five of their plant host groups, in each case sampling more than 61% of the species. We show that the ant-housing Vachellia (Mimosoideae) clade and its ants co-diversified for the past 5 Ma, with some species additionally colonized by younger plant-nesting ant species, some parasitic. An apparent co-radiation of ants and Tachigali (Caesalpinioideae) was followed by waves of colonization by the same ant clade, and subsequent occupation by a younger ant group. Wide crown and stem age differences between the ant-housing genus Triplaris (Polygonaceae) and its obligate ant inhabitants, and stochastic trait mapping, indicate that its domatium evolved earlier than the ants now occupying it, suggesting previous symbioses that dissolved. Parasitic ant species evolved from generalists, not from mutualists, and are younger than the mutualistic systems they parasitize. Our study illuminates the macroevolutionary assembly of ant/plant symbioses, which has been highly dynamic, even in very specialized systems.
Advanced Visual Analytics Methods for Literature Analysis

The volumes of digitized literary collections in various languages increase at a rapid pace, which results also in a growing demand for computational support to analyze such linguistic data. This paper combines robust text analysis with advanced visual analytics and brings a new set of tools to literature analysis. Visual analytics techniques can offer new and unexpected insights and knowledge to the literary scholar. We analyzed a small subset of a large literary collection, the Swedish Literature Bank, by focusing on the extraction of persons' names, their gender and their normalized, linked form, including mentions of theistic beings (e.g., Gods' names and mythological figures), and examined their appearance over the course of the novel. A case study based on 13 novels, from the aforementioned collection, shows a number of interesting applications of visual analytics methods to literature problems, where named entities can play a prominent role, demonstrating the advantage of visual literature analysis. Our work is inspired by the notion of distant reading or macroanalysis for the analyses of large literature collections.
Automatic motor activation in the executive control of action

Although executive control and automatic behavior have often been considered separate and distinct processes, there is strong emerging and convergent evidence that they may in fact be intricately interlinked. In this review, we draw together evidence showing that visual stimuli cause automatic and unconscious motor activation, and how this in turn has implications for executive control. We discuss object affordances, alien limb syndrome, the visual grasp reflex, subliminal priming, and subliminal triggering of attentional orienting. Consideration of these findings suggests automatic motor activation might form an intrinsic part of all behavior, rather than being categorically different from voluntary actions.
Exploiting Hierarchical Structures for POI Recommendation

With the rapid development of location-based social networks, Point-of-Interest (POI) recommendation has played an important role in helping people discover attractive locations. However, existing POI recommendation methods assume a flat structure of POIs, which are better described in a hierarchical structure in reality. Furthermore, we discover that both users' content and spatial preferences exhibit hierarchical structures. To this end, in this paper, we propose a hierarchical geographical matrix factorization model (HGMF) to utilize the hierarchical structures of both users and POIs for POI recommendation. Specifically, we first describe the POI influence degrees over regions with two-dimensional normal distribution, and learn the influence areas of different layers of POIs as the input of HGMF. Then, we perform matrix factorization on user content preference matrix, user spatial preference matrix, and POIs characteristic matrix jointly with the modeling of implicit hierarchical structures. Moreover, a two-step optimization method is proposed to learn the implicit hierarchical structure and find the solution of HGMF efficiently. Finally, we evaluate HGMF on two large-scale real-world location-based social networks datasets. Our experimental results demonstrate that it outperforms the state-of-the-art methods in terms of precision and recall.
Effects of bovine serum albumin on the ability of Barbour-Stoenner-Kelly medium to detect Borrelia burgdorferi

The ability of decreasing inocula of Borrelia burgdorferi to grow in otherwise identical Barbour-Stoenner-Kelly (BSK) media containing different lots of bovine serum albumin (fraction V) was determined. These media differed significantly in ability to detect B. burgdorferi. Some BSK media required inocula of 2 x 10(5) organisms per ml for detection, while other media could stimulate growth after inoculation with less than 2 organisms per ml. In addition, organisms from the less sensitive BSK media were thinner, longer, and less tightly coiled. The endpoint dilutions of indirect fluorescent-antibody titers, especially immunoglobulin M, exhibited up to 16-fold decreases, and both immunoglobulin G and M titers were more difficult to interpret with diagnostic slides prepared from some longer, thinner B. burgdorferi. These results demonstrate that, when performing laboratory investigations which rely on B. burgdorferi, it is essential that the quality of the BSK medium be determined.
On dual minimum cost flow algorithms (extended abstract)

We describe a new dual algorithm for the minimum cost flow problem. It can be regarded as a variation of the best known strongly polynomial minimum cost flow algorithm, due to Orlin, and has the same running t ime of O(mlogm(m + n logn) ) . However, in contrast to Orlin's algorithm we work directly with the capaci tated network (rather than transforming it to a t ransshipment problem). Thus our algorithm may be more efficient in practice. Our algorithm can be interpreted as a cut cancelling algorithm, improving the best known strongly polynomial bound for this important class of algorithms by a factor of m. On the other hand, our algorithm can be considered as a variant of the dual network simplex algorithm. Although dual network simplex algorithms a r e quite efficient in practice, the best worst-case running time known so far exceeds the running time of our algorithm by a factor of n.
ABACUS: Mining Arbitrary Shaped Clusters from Large Datasets based on Backbone Identification

A wide variety of clustering algorithms exist that cater to applications based on certain special characteristics of the data. Our focus is on methods that capture arbitrary shaped clusters in data, the so called spatial clustering algorithms. With the growing size of spatial datasets from diverse sources, the need for scalable algorithms is paramount. We propose a shape-based clustering algorithm, ABACUS, that scales to large datasets. ABACUS is based on the idea of identifying the intrinsic structure for each cluster, which we also refer to as the backbone of that cluster. The backbone comprises of a much smaller set of points, thus giving this method the desired ability to scale to larger datasets. ABACUS operates in two stages. In the first stage, we identify the backbone of each cluster via an iterative process made up of globbing (or point merging) and point movement operations. The backbone enables easy identification of the true clusters in a subsequent stage. Experiments on a range of real (images from geospatial satellites, etc.) and synthetic datasets demonstrate the efficiency and effectiveness of our approach. In particular, ABACUS is over an order of magnitude faster than existing shape-based clustering methods, yet it provides a comparable or better clustering quality.
The Sketch Engine

The chapter deals with word sketches - one-page automatic, corpus-based summaries of a word's grammatical and collocational behaviour. They were first used in the production of the Macmillan English Dictionary and were presented at Euralex 2002. At that point, they only existed for English. Now, we have developed the Sketch Engine, a corpus tool which takes as input a corpus of any language and a corresponding grammar patterns and which generates word sketches for the words of that language. It also generates a thesaurus and 'sketch differences', which specify similarities and differences between near-synonyms. We briefly present a case study investigating applicability of the Sketch Engine to free word-order languages. The results show that word sketches could facilitate lexicographic work in Czech as they have for English.
Comparisons of Approximate Confidence Interval Procedures for Type I Censored Data

This article compares different procedures to compute confidence intervals for parameters and quantiles of the Weibull, lognormal, and similar log-location-scale distributions from Type I censored data that typically arise from life-test experiments. The procedures can be classified into three groups. The first group contains procedures based on the commonly used normal approximation for the distribution of studentized (possibly after a transformation) maximum likelihood estimators. The second group contains procedures based on the likelihood ratio statistic and its modifications. The procedures in the third group use a parametric bootstrap approach, including the use of bootstrap-type simulation, to calibrate the procedures in the first two groups. The procedures in all three groups are justified on the basis of large-sample asymptotic theory. We use Monte Carlo simulation to investigate the finite-sample properties of these procedures. Details are reported for the Weibull distribution. Our results show, as predicted by asymptotic theory, that the coverage probabilities of one-sided confidence bounds calculated from procedures in the first and second groups are further away from nominal than those of two-sided confidence intervals. The commonly used normal-approximation procedures are crude unless the expected number of failures is large (more than 50 or 100). The likelihood ratio procedures work much better and provide adequate procedures down to 30 or 20 failures. By using bootstrap procedures with caution, the coverage probability is close to nominal when the expected number of failures is as small as 15 to 10 or less, depending on the particular situation. Exceptional cases, caused by discreteness from Type I censoring, are noted.
Mitigating shadowing effects through cluster-head cooperation techniques

In many situations the performance of wireless communication systems decreases especially when they operate over multipath fading channels subject also to shadowing. In this sense, cluster-based networks have been introduced as an efficient solution, offering coverage extension and energy saving. In this study, the authors investigate new cluster-head (CH) selection algorithms, where the nodes can select different CHs, according to the corresponding signal strength. In addition, it is shown that if CHs are equipped with multiple antennas, the negative consequences of fading/shadowing can be further reduced. The performance of this scheme is theoretically investigated over correlated Nakagami-m fading channels, which are also subject to shadow fading, modelled by gamma distribution. The derived statistical metrics are used to obtain numerical evaluated results for the outage and the average bit error probabilities. These results are complemented by computer simulated ones, which validate the accuracy of the proposed analysis.
Three components of calcium currents in crayfish skeletal muscle fibres.

The coexistence of multiple types of calcium currents within the same cell has been demonstrated in voltage clamp experiments in several cells (for review see Hagiwara et Byerly 1981). Single channel recordings confirmed the existence of distinct electrical and pharmacological properties of Ca channels and, based on these differ­ ences, three types of Ca channels were characterized (classified) as separate entities (for review see Bean 1989). So far, two Ca currents have been described to exist in muscle fibres, namely in those spiking on calcium principle. On internally per­ fused muscle fibre segments of the crayfish Zahradnik and Zachar (1982) described two components of Ca currents with different kinetics of inactivation. Detailed electrophysiological analyses of the two Ca current components (Zahradnik 1985, Jda iaa and Guilbault 1986, Zahradnik and Zachar 1987) support the hypothesis concerning the existence of two different populations of Ca channels in these muscle fibres.
User's guide for the SCID-5-PD : structured clinical interview for DSM-5 personality disorders

Acknowledgments, Citation and Additional Copyright Notices, Disclosures, 1. Introduction, 2. History, 3. Features of the SCID-5-PD, 3.1 Coverage, 3.2 Diagnostic Summary Score Sheet, 3.3 Basic Structure, 3.4 Screening Personality Questionnaire (SCID-5-SPQ), 3.5 Deviations From DSM-5 Criteria, 4. Administration of the SCID-5-PD, 4.1 Sources of Information, 4.2 SCID-5-PD Interview Questions, 4.3 Interview Questions With Parenthetical Words in All-Capital Letters, 4.4 Ratings of Criterion Items, 4.5 Assessment of Other Specified Personality Disorder, 4.6 Use of the SCID-5-PD With the SCID-5-SPQ, 4.7 Use of the SCID-5-PD Without the SCID-5-SPQ, 5. SCID-5-PD Item-by-Item Commentary, 5.1 Avoidant Personality Disorder, 5.2 Dependent Personality Disorder, 5.3 Obsessive-Compulsive Personality Disorder, 5.4 Paranoid Personality Disorder, 5.5 Schizotypal Personality Disorder, 5.6 Schizoid Personality Disorder, 5.7 Histrionic Personality Disorder, 5.8 Narcissistic Personality Disorder, 5.9 Borderline Personality Disorder, 5.10 Antisocial Personality Disorder, 6. Training, 7. Reliability and Validity, 7.1 Reliability of the SCID-5-PD, 7.2 Validity of the SCID-II, 7.3 Psychometric Properties of the SCID-II Patient Questionnaire, References, Appendix: SCID-5-SPQ and SCID-5-PD Example