gebhart/patrepeval huggingface dataset:
Contrastive Learning for Sports Video: Unsupervised Player Classification (2021)

We address the problem of unsupervised classification of players in a team sport according to their team affiliation, when jersey colours and design are not known a priori. We adopt a contrastive learning approach in which an embedding network learns to maximize the distance between representations of players on different teams relative to players on the same team, in a purely unsupervised fashion, without any labelled data. We evaluate the approach using a new hockey dataset and find that it outperforms prior unsupervised approaches by a substantial margin, particularly for real-time application when only a small number of frames are available for unsupervised learning before team assignments must be made. Remarkably, we show that our contrastive method achieves 94% accuracy after unsupervised training on only a single frame, with accuracy rising to 97% within 500 frames (17 seconds of game time). We further demonstrate how accurate team classification allows accurate team-conditional heat maps of player positioning to be computed.
Performance of a ferroelectric glass electrolyte in a self-charging electrochemical cell with negative capacitance and resistance (2020)

The ability for electrochemical cells to self-charge for extended periods of time is desirable for energy storage applications. While self-oscillation is a phenomenon found in human-made dynamic systems and in nature, its appearance in electrochemical cells has not been reported or anticipated. Here, we chose an electrochemical cell containing two electrodes separated by a self-organizing glass electrolyte containing alkali cations. The ferroelectric character of the electrolyte, with an impressively high dielectric constant of 106–107, supported self-charge and self-oscillation. After fabrication, the cells were characterized to determine the electrical impedance, dielectric spectroscopy, and electrochemical discharge. The electrochemical cells also displayed negative resistance and negative capacitance. Negative capacitance is due to the formation of an inverted capacitor between the double-layer capacitor formed at the negative electrode/electrolyte interface and the dipoles of the ferroelectric-electrolyte. Negative resistance is triggered by the formation of an interface phase, which leads to a step-change of the chemical potential of the electrode. The electrochemical cell demonstrates an entanglement between negative resistance, negative capacitance, self-charge, self-cycling, and the activation energy vs thermal energy or external work. The phenomenon of self-cycling is enhanced at low temperatures where the activation energy is higher than the thermal energy. This demonstration extends the Landau-Khalatnikov model for a ferroelectric to a bistable device in which the bistability resides in an electrode. The results reported here reveal the first report of negative capacitance and negative resistance existing in the same process, which can lead to valuable advancements in energy storage devices and in low-frequency applications.
Enhancing recognition systems through an integrated processing of visual and audio information (2002)

The AVIS framework for integrated audio and visual information processing is applied to the problem of person identification. An instantiation of the AVIS framework, called PIAVI, is based on a fuzzy neural network (FuNN) model of audio-visual person identification. In PIAVI's unimodal (visual) mode of operation, only dynamic visual features are used, whereas in the bimodal mode of operation, dynamic auditory and dynamic visual features are integrated at an early level of processing. Using a new dataset of dynamic features, a comparative study is performed with PIAVI in its two modes of operation. The results show that, with a large training set, perfect performance is achieved in the unimodal case. With a smaller training set, online application of the person identification system becomes feasible. Using this smaller set, unimodal identification performance is unsatisfactory. However, in the bimodal case, the identification performance is upgraded to satisfactory level of performance by early integration. It is concluded that, by using dynamic audio-visual features and FuNNs, an adequate on-line application of PIAVI in person identification tasks is within reach.
Low dose O-butyryl timolol improves the therapeutic index of timolol in the pigmented rabbit. (1988)

The degree of enhancement in the ocular absorption of timolol afforded by its O-butyryl prodrug and the possibility of reducing its systemic absorption through a proportional reduction in its instilled dose were investigated in the pigmented rabbit. A reversed phase HPLC procedure was used to assay for timolol and O-butyryl timolol in the aqueous humor and plasma over 120 min post-instillation of 25 microliter of drug solutions. We found that the ocular absorption of the O-butyryl prodrug of timolol from a 15 mM solution was 5.5 times greater than that of the parent drug while the systemic absorption was comparable. When a lower concentration of the prodrug (3.75 mM) was used the therapeutic index as assessed by the ratio of aqueous humor to plasma concentrations seemed to improve fifteenfold. Therefore, it is possible to significantly reduce the systemic absorption of timolol without reducing its ocular absorption by using a low dose of its O-butyryl prodrug.
Human chorionic gonadotropin α and human cytomegalovirus promoters are extremely active in the fission yeast <i>Schizosaccharomyces pombe</i> (1990)

We have investigated the transcriptional activity of human cytomegalovirus, herpes thymidine kinase, human chorionic gonadotropin alpha, somatostatin, immunoglobulin kappa chain, alpha crystallin, albumin and interferon-beta promoters in the fission yeast Schizosaccharomyces pombe. Among these, the human cytomegalovirus, human chorionic gonadotropin alpha, and somatostatin promoters were found to be very active, approximately 11-, 9-, and 0.9-fold as active as the SV40 early promoter, respectively. The remainder of the promoters studied were weak, having only 10-20% of the SV40 promoter activity. Primer extension analysis showed that the strong promoters initiated transcription in S. pombe at the same sites as in mammalian cells, indicating the high similarity between both transcriptional systems.
Prussian Blue Analogs for Rechargeable Batteries (2018)

Non-lithium energy storage devices, especially sodium ion batteries, are drawing attention due to insufficient and uneven distribution of lithium resources. Prussian blue and its analogs (Prussian blue analogs [PBAs]), or hexacyanoferrates, are well-known since the 18th century and have been used for hydrogen storage, cancer therapy, biosensing, seawater desalination, and sewage treatment. Owing to their unique features, PBAs are receiving increasing interest in the field of energy storage, such as their high theoretical specific capacity, ease of synthesis, as well as low cost. In this review, a general summary and evaluation of the applications of PBAs for rechargeable batteries are given. After a brief review of the history of PBAs, their crystal structure, nomenclature, synthesis, and working principle in rechargeable batteries are discussed. Then, previous works classified based on the combination of insertion cations and transition metals are analyzed comprehensively. The review includes an outlook toward the further development of PBAs in electrochemical energy storage.
Novel Reduction of Mercury(II) by Mercury-Sensitive Dissimilatory Metal Reducing Bacteria (2006)

The dissimilatory metal reducing bacterium (DMRB) Shewanella oneidensis MR-1 reduces ionic mercury (Hg[II]) to elemental mercury (Hg[0]) by an activity not related to the MerA mercuric reductase. In S. oneidensis, this activity is constitutive and effective at Hg(II) concentrations too low to induce mer operon functions. Reduction of Hg(II) by MR-1 required the presence of electron donors and electron acceptors. Reduction occurred with oxygen or fumarate, but had the highest rate when ferric oxyhydroxide was used as a terminal electron acceptor. Geobacter sulfurreducens PCA and Geobacter metallireducens GS-15 reduced Hg(II) to Hg(0) with activity comparable to MR-1; however, neither the DMRB Anaeromyxobacter dehalogenans 2CP-C nor the nitrate reducer Pseudomonas stutzeri OX-1 reduced Hg(II) during growth. This discovery of constitutive mercury reduction among anaerobes has implications to the mobilization of mercury and production of methylmercury in anoxic environments.
Engineered recombinant bacterial collagen as an alternative collagen-based biomaterial for tissue engineering (2014)

OPINION article Front. Chem., 23 June 2014Sec. Chemical Biology Volume 2 - 2014 | https://doi.org/10.3389/fchem.2014.00040
Electric-Field Energy Harvesting in Wireless Networks (2017)

Electric-field energy harvesting (EFEH) can be considered as an emerging and promising alternative for self-sustainable next-generation WSNs. Unlike conventional harvesting methods that rely on ambient variables, EFEH provides more reliable and durable operation as it is operable with any voltage-applied conductive material. Therefore, it is better suited for advanced throughput and applications requiring a certain QoS. In this article, we introduce this newly emerging WSN paradigm, and focus on enabling EFEH technology for smart grid architectures, such as home, building, and near area networks, where the field intensity is relatively low. To this end, a practical methodology and a general use implementation framework have been developed for low-voltage applications by regarding compelling design issues and challenging source scarcity. The proposed double-layer harvester model is experimentally evaluated. Its performance in terms of implementation flexibility, sensor lifetime, and communication throughput is investigated. In addition, current challenges, open issues, and future research directions are discussed for the design of more enhanced EFEH wireless networks.
Equality and Domain Closure in First-Order Databases (1980)

A class of first-order databases with no function signs is considered. A closed database DB is one for which the only existing individuals are those explicitly referred to in the formulas of DB. Formally, this is expressed by including in DB a domain closure axiom ( x ) x = c 1 ∨···∨ x = c p , where c 1 ,…, c p are all of the constants occurring in DB. It is shown how to completely capture the effects of this axiom by means of suitable generalizations of the projection and division operators of relational algebra, thereby permitting the underlying theorem prover used for query evaluation to ignore this axiom. A database is E-saturated if all of its constants denote distinct individuals. It is shown that such databases circumvent the usual problems associated with equality, which arise in more general databases. Finally, it is proved for Horn databases and positive queries that only definite answers are obtained, and for databases with infinitely many constants that infinitely long indefinite answers can arise.
Concanavalin A: a stopped flow nuclear magnetic resonance study of conformational changes induced by Mn++, Ca++, and alpha-methyl-D-mannoside. (1975)

The conformational changes induced in concanavalin A by the binding of Mn++, Ca++, and alpha-methyl-D-mannoside have been studied at pH 5.28 by stopped flow nuclear magnetic resonance techniques. Three distinct conformation states of the protein have been kinetically observed and an ordered binding mechanism elucidated from a detailed analysis of the reaction records. In addition, the individual steps of this mechanism are interpreted in terms of molecular parameters characterizing the conformational states involved such as ligand exchange rates to the paramagnetic Mn++.
원저(原著) : 2011년도 대구한의대학교 학생 건강검진 결과 보고 (2011)

Objectives : The aim of this paper is to report the results of medical examinations in Daegu Haany University 2011. Methods: 1. Subjects : AU students who wanted to enter the dormitory, or who were interested in health care. 2. Period : 8(tuesday)~(thursday), November 2011. 3. All students could choose one of the following medical examinations: Type II : chest x-ray(pulmonary tuberculosis), hepatitis B surface Antigen (HBsAg) & hepatitis B surface Antibody(Anti-HBs). Type II : chest x-ray(puhmnary tuberculosis), HBsAg & Anti-HBs, liver function test(SGOT, SGPT), complete blood count(CBC), urine test. Results : 408 students took part in medical examination. Among them, 77 students were males, 331 students were females. Results of chest x-ray for all students were within normal limits. In HBsAg & Anti-HBs tests, 3(0.74%) of students found to be HBsAg-positive, 282(69.1%) of students found to be Anti-HBs-negative and 126(30.8%) of students found to be Anti-HBs-positive or the trace of Anti-HBs. 69 students applied for type II examination. Among them, 30(43.4%) of students are estimated to be mild anemic patients. Conclusions : Results of screening for pulmonary tuberculosis and hepatitis B are in good, but there is need to strengthen the nutritional educations to anemic students.
Resilient and Permanent Deformation Characteristics of Unbound Pavement Layers Modified by Geogrids (2013)

The benefits of geogrids in reducing permanent deformation of flexible pavements are generally recognized and have been shown in numerous studies. In contrast, although resilient moduli of unbound materials are important property inputs in mechanistic–empirical pavement design, the impact of geogrids on the resilient behavior of unbound layers remains unclear from previous studies. This paper focuses on resilient behavior of unbound layers and permanent deformation of subgrades modified by geogrids at the base–subgrade interface. Two sets of tests were conducted on scaled pavements built over two types of soil. Each set of tests consisted of four sections. Three were modified with different geogrids and one was left unmodified as a control. Instruments were installed to measure the subgrades’ resilient and permanent deformations. The pavement layers were tested with a lightweight deflectometer (LWD). Surface deflections and subgrade resilient deformation under impulsive LWD loads were recorded. The test sections were then subjected to repetitive reduced-scale moving-wheel loading. Subgrade resilient and permanent deformations were measured at select intervals of the wheel passes. The measurements of surface deflection and subgrade resilient deformation under the LWD load indicate that the geogrids did not have an appreciable impact on the resilient behavior of the base layer and subgrade. Subgrade resilient deformations, along with the repetitive wheel loads, also suggest that the effects of the geogrids on the resilient responses of the subgrade were not evident. However, two of the geogrids consistently exhibited benefits in reducing permanent deformation in the subgrade.
Periodic acceleration: effects on vasoactive, fibrinolytic, and coagulation factors (2004)

Cellular and isolated vessel experiments have shown that pulsatile and laminar shear stress to the endothelium produces significant release of mediators into the circulation. Periodic acceleration (pG(z)) applied to the whole body in the direction of the spinal axis adds pulses to the circulation, thereby increasing pulsatile and shear stress to the endothelium that should also cause release of mediators into the circulation. The purpose of this study was to determine whether addition of pulses to the circulation through pG(z) would be sufficient to increase shear stress in whole animals and to acutely release mediators and how such a physical maneuver might affect coagulation factors. Randomized control experiments were performed on anesthetized, supine piglets. The treatment group (pG(z)) (n = 12) received pG(z) with a motion platform that moved them repetitively head to foot at +/-0.4 g at 180 cpm for 60 min. The control group (n = 6) was secured to the platform but remained on conventional ventilation throughout the 4-h protocol. Compared with control animals and baseline, pulsatile stress produced significant increases of serum nitrite, prostacyclin, PGE(2), and tissue plasminogen activator antigen and activity, as well as D-dimer. There were no significant changes in epinephrine, norepinephrine, cortisol, and coagulation factors between groups or from baseline values. Pulsatile and laminar shear stress to the endothelium induced by pG(z) safely produces increases of vasoactive and fibrinolytic activity. pG(z) has potential to achieve mediator-related benefits from the actions of nitric oxide and prostaglandins.
The Cutting-Stock Approach to Bin Packing: Theory and Experiments. (2003)

We report on an experimental study of the Gilmore-Gomory cutting-stock heuristic and related LP-based approaches to bin packing, as applied to instances generated according to discrete distributions. No polynomial running time bound is known to hold for the Gilmore-Gomory approach, and empirical operation counts suggest that no straightforward implementation can have average running time O(m³), where m is the number of distinct item sizes. Our experiments suggest that by using dynamic programming to solve the unbounded knapsack problems that arise in this approach, we can robustly obtain average running times that are o(m^4) and feasible for m well in excess of 1,000. This makes a variant on the previously un-implemented asymptotic approximation scheme of Fernandez de la Vega and Lueker practical for arbitrarily large values of m and quite small values of epsilon. We also...
The 2018 DAVIS Challenge on Video Object Segmentation (2018)

We present the 2018 DAVIS Challenge on Video Object Segmentation, a public competition specifically designed for the task of video object segmentation. It builds upon the DAVIS 2017 dataset, which was presented in the previous edition of the DAVIS Challenge, and added 100 videos with multiple objects per sequence to the original DAVIS 2016 dataset. Motivated by the analysis of the results of the 2017 edition, the main track of the competition will be the same than in the previous edition (segmentation given the full mask of the objects in the first frame -- semi-supervised scenario). This edition, however, also adds an interactive segmentation teaser track, where the participants will interact with a web service simulating the input of a human that provides scribbles to iteratively improve the result.
Lithium-Ion Batteries State of Charge Prediction of Electric Vehicles Using RNNs-CNNs Neural Networks (2020)

In order to achieve the safe and efficient energy use in the electric vehicle, the continuous and accurate monitoring of lithium-ion batteries (LIBs) has become a long-standing research hot spot. However, existing researches of LIBs state of charge (SOC) prediction are at the cost of unrefined vector representation and inadequate feature extraction, which have been unable to meet prediction requirements of LIBs SOC. Complementarily, in this study, a deep learning-based SOC prediction model is proposed to ensure reliable vector representation and sufficient feature extraction. In order to improve battery data representation, a recursive neural networks (RNNs)-based method is proposed. Then, aiming to fully extract feature information, a multi-channel extended convolutional neural networks (CNNs)-based method, which is fed with the well-trained vector representation, is proposed to accurately predict LIBs SOC. Based on the reliable vector representation and sufficient feature extraction, the proposed method can provide improved SOC prediction performance. Merits of the proposed method are verified using simulation test, which shows that the proposed method gives improved prediction performance of 4.3% and 11.3% compared with recurrent neural networks and Ah counting method, respectively.
Correcting document image warping based on regression of curved text lines (2004)

Image warping is a common problem when one scans or photocopies a document page from a thick bound volume, resulting in shading and curved text lines in the spine area of the bound volume. This will not only impair readability, but will also reduce the OCR accuracy. Further to our earlier attempt to correct such images, this paper proposes a simpler connected component analysis and regression technique. Compared to our earlier method, the present system is computationally less expensive and is resolution independent too. The implementation of the new system and improvement of OCR accuracy are presented in this paper.
Nesprins: a novel family of spectrin-repeat-containing proteins that localize to the nuclear membrane in multiple tissues (2001)

In search of vascular smooth muscle cell differentiation markers, we identified two genes encoding members of a new family of type II integral membrane proteins. Both are ubiquitously expressed, and tissue-specific alternative mRNA initiation and splicing generate at least two major isoforms of each protein, with the smaller isoforms being truncated at the N-terminus. We have named these proteins nesprin-1 and -2 for nuclear envelope spectrin repeat, as they are characterized by the presence of multiple, clustered spectrin repeats, bipartite nuclear localization sequences and a conserved C-terminal, single transmembrane domain. Transient transfection of EGFP-fusion expression constructs demonstrated their localization to the nuclear membrane with a novel C-terminal, TM-domain-containing sequence essential for perinuclear localization. Using antibodies to nesprin-1, we documented its colocalization with LAP1, emerin and lamins at the nuclear envelope, and immunogold labeling confirmed its presence at the nuclear envelope and in the nucleus where it colocalized with heterochromatin. Nesprin-1 is developmentally regulated in both smooth and skeletal muscle and is re-localized from the nuclear envelope to the nucleus and cytoplasm during C2C12 myoblast differentiation. These data and structural analogies with other proteins suggest that nesprins may function as 'dystrophins of the nucleus' to maintain nuclear organization and structural integrity.
Deleted form of hepatocyte growth factor (dHGF) increases the number of platelets in rats with liver cirrhosis (1997)

The effect of the deleted form of hepatocyte growth factor (dHGF) on thrombopoiesis was studied in rats. When normal rats were injected with dHGF (0.5 mg/kg i.v. twice a day), the number of platelets increased to about 1.5-fold the initial level. In addition, the treatment with dHGF (0.5 mg/kg i.v. twice daily) significantly increased the number of platelets in rats with liver cirrhosis induced by carbon tetrachloride and phenobarbital. When dHGF was given to rats at a dose of 0.05 or 0.5 mg/kg from the beginning of the induction of dimethylnitrosamine liver cirrhosis to day 28, dHGF dose-dependently ameliorated thrombocytopenia and completely prevented it at a dose of 0.5 mg/kg. These results indicate that dHGF may be applicable to the treatment of thrombocytopenia associated with liver cirrhosis.