gebhart/patrepeval huggingface dataset:
Multigranular Visual-Semantic Embedding for Cloth-Changing Person Re-identification (2021)

Person reidentification (ReID) is a very hot research topic in machine learning and computer vision, and many person ReID approaches have been proposed; however, most of these methods assume that the same person has the same clothes within a short time interval, and thus their visual appearance must be similar. However, in an actual surveillance environment, a given person has a great probability of changing clothes after a long time span, and they also often take different personal belongings with them. When the existing person ReID methods are applied in this type of case, almost all of them fail. To date, only a few works have focused on the cloth-changing person ReID task, but since it is very difficult to extract generalized and robust features for representing people with different clothes, their performances need to be improved. Moreover, visual-semantic information is often ignored. To solve these issues, in this work, a novel multigranular visual-semantic embedding algorithm (MVSE) is proposed for cloth-changing person ReID, where visual semantic information and human attributes are embedded into the network, and the generalized features of human appearance can be well learned to effectively solve the problem of clothing changes. Specifically, to fully represent a person with clothing changes, a multigranular feature representation scheme (MGR) is employed to focus on the unchanged part of the human, and then a cloth desensitization network (CDN) is designed to improve the feature robustness of the approach for the person with different clothing, where different high-level human attributes are fully utilized. Moreover, to further solve the issue of pose changes and occlusion under different camera perspectives, a partially semantically aligned network (PSA) is proposed to obtain the visual-semantic information that is used to align the human attributes.
Deinking of water‐based ink printing from plastic film using nonionic surfactants (2002)

Abstract When plastic film packaging is processed for reuse, residual ink colors the polymer and makes the polymer less stiff, weaker, and denser than the original material. These problems can be avoided if the printing is removed from the plastic film surface. In this study, a commercial polyethylene film with water‐based ink printing was deinked (the ink was removed) using nonionic surfactants under a variety of conditions, and the effect of some parameters related to the deinking process were quantified and optimized. Nonylphenol polyethoxylate, ethoxylated alcohol at a pH of 10, and ethoxylated amine at either acidic, neutral, or basic pH level were identified to be effective at deinking. The hydrophiliclipophilic balance (HLB) value and the cloud point are useful parameters for characterizing the effectiveness of nonionic surfactants. For optimal deinking, the HLB of the nonionic surfactants should be as small as possible or the cloud point as low as possible without the deinking temperature substantially exceeding the cloud point. Information related to scaleup of the process was also developed. Soaking plastic film in surfactant solution prior to mechanical agitation significantly decreased the needed agitation time to achieve a given level of deinking. Deinking decreases as the plastic/solution ratio (consistency) increases, and cutting plastic film into smaller pieces improves the deinking at moderate consistency. Increasing agitation speed also enhances the deinking. Experiments performed with pilot‐sized paper deinking apparatuses demonstrated that deinking of plastic film using surfactants is technically feasible.
Microsurgical Recovery of a Migrated Balloon from the Internal Carotid Artery of a Child (1985)

Abstract A child developed a traumatic intrapetrous internal carotid aneurysm after a routine myringotomy. The aneurysm was treated by occlusion of the internal carotid artery by the detachable balloon technique. Unfortunately, both balloons migrated and ischemic sequelae resulted when one of the balloons became lodged in the bifurcation of the internal carotid artery. The balloon was successfully retrieved during an emergency microsurgical embolectomy, and the child's neurological deficit was reversed. The management of both the intrapetrous aneurysm and the balloon migration are discussed.
STUN - Simple Traversal of User Datagram Protocol (UDP) Through Network Address Translators (NATs) (2003)

Simple Traversal of User Datagram Protocol (UDP) Through Network Address Translators (NATs) (STUN) is a lightweight protocol that allows applications to discover the presence and types of NATs and firewalls between them and the public Internet. It also provides the ability for applications to determine the public Internet Protocol (IP) addresses allocated to them by the NAT. STUN works with many existing NATs, and does not require any special behavior from them. As a result, it allows a wide variety of applications to work through existing NAT infrastructure.
ChemInform Abstract: SYNTHESIS OF PROSTAGLANDIN‐F2α BY CONJUGATE ADDITION OF A CUPRATE REAGENT TO 3‐TERT‐BUTYLDIMETHYLSILYLOXYTRICYCLO(3.2.0.02,7)HEPTAN‐6‐ONE (1978)

Abstract Über das gespannte Cyclopropylketon (IV), das aus dem Bromhydrin (III) durch Behandlung mit Dimethyl‐tert.‐butylsilylchlorid/Imidazol in Dimethylformamid und anschließende Dehydrobromierung mit Kalium‐tert.‐butylat zugänglich ist, wird das gesuchte Prostaglandin (IX) dargestellt.
WinSGL: software genlocking for cost-effective display synchronization under microsoft windows (2006)

This paper presents the first software genlocking approach for unmodified Microsoft Windows systems, requiring no specialized graphics boards but only a low-cost signal generator as additional hardware. Compared to existing solutions for other operating systems, it does not rely on any real-time extensions or kernel modifications. Its novel design can be divided into two parts: First, an external synchronization signal is transmitted over interrupt lines to a dedicated driver. Second, a user-space application performs the synchronization by inserting or removing lines to the invisible part of the image. Robustness to potential frame losses is achieved through continuous consistent timestamping. Tests yield an accuracy of up to ± ½ line deviation from the external signal and a low CPU load of 2% on current PC systems. Our system has been designed to be compatible with off-the-shelf graphics hardware and digital output devices based on LCD or DLP technology. Our solution can be employed to build cost-effective VR installations such as large tiled and spatially immersive displays using commodity PC clusters.
26 REPROGRAMMING OF TWO SOMATIC NUCLEI IN THE SAME MOUSE OOPLASM LEADS TO PLURIPOTENT NOT TOTIPOTENT EMBRYOS (2012)

The use of cloned embryos to derive pluripotent embryonic stem cells (ESC) has raised expectations among many for its potential to benefit regenerative medicine. However, diploid cloned embryos also have the ability for totipotency and they occasionally develop to term. Thus, a therapeutic application cannot be kept totally separate from reproductive cloning. In contrast to diploidy, tetraploidy is incompatible with full development in mammals; yet, tetraploid cells arise after normal diploid development and contribute to certain organs of the adult body. In this context, we asked if single oocytes are able to reprogram 2 simultaneously transplanted somatic nuclei, and whether resultant embryos may serve as a source for functional pluripotent cell lines. We modified the conventional nuclear cloning method by simultaneously injecting 2 nuclei of cumulus cells into a single ooplasm of the B6C3F1 mouse strain. Following activation of these reconstructed oocytes, the blastocyst rates were lower compared with conventional cloned embryos (1 nucleus injection), but similar to tetraploid fertilized embryos generated by intracytoplasmic sperm injection (ICSI) of 2 sperm heads and prevention of second polar body extrusion using cytochalasin B. Upon transfer of tetraploid cloned blastocysts to pseudopregnant recipients, no fetuses were found at midgestation (Table 1). Tetraploid cloned blastocysts supported the derivation of ESC (Table 1), which maintain a stable tetraploid karyotype over more than 20 passages. These tetraploid ESC possess the major hallmarks of pluripotency, including matching gene expression profiles (MouseRef-8 v2 expression BeadChip, Illumina) compared with those of diploid counterparts (&amp;gt;99% similarity) as well as the ability to differentiate into derivatives of the 3 germ layers when forming teratomas in severe-combined immunodeficient mice. Upon injection into wild-type blastocysts, tetraploid ESC populated the inner cell mass; however, after transfer of these chimeras to pseudopregnant recipients, derivatives of tetraploid ESC were found only in extraembryonic tissues of midgestation fetuses. In sum, we have shown that the reprogramming capacity of mouse oocytes is sufficient for 2 somatic nuclei, and that resultant cloned embryos support pluripotency but not totipotency. Our approach to therapeutic cloning is free of reproductive implications. Table 1. Developmental competence of single (2N) and double nucleus transplanted (4N) cloned mouse embryos compared with fertilized controls
Real-Time Energy Management of the Electric Turbocharger Based on Explicit Model Predictive Control (2019)

The electric turbocharger (ET) is a promising solution for engine downsizing. It provides great potential for vehicle fuel efficiency improvement. The ET makes engines run as hybrid systems so critical challenges are raised in energy management and control. This paper proposes a real-time energy management strategy based on updating and tracking of the optimal exhaust pressure setpoint. Starting from the engine characterization, the impacts of the ET on engine response and exhaust emissions are analyzed. A multivariable explicit model predictive controller is designed to regulate the key variables in the engine air system, whereas the optimal setpoints of those variables are generated by a high-level controller. The two-level controller works in a highly efficient way to fulfill the optimal energy management. This strategy has been validated in physical simulations and experimental testing. Excellent tracking performance and sustainable energy management demonstrate the effectiveness of the proposed method.
A Model Based Neuron Detection Approach using Sparse Location Priors (2017)

In order to accurately monitor neural activity in a living mouse brain, it is necessary to image each neuron at a high frame rate. Newly developed genetically encoded calcium indicators like GCaMP6 have fast kinetic response and can be used to target specific cell types for long duration. This enables neural activity imaging of neuron cells with high frame rate via fluorescence microscopy. In fluorescence microscopy, a laser scans the whole volume and the imaging time is proportional to the volume of the brain scanned. Scanning the whole brain volume is time consuming and fails to fully exploit the fast kinetic response of new calcium indicators. One way to increase the frame rate is to image only the sparse set of voxels containing the neurons. However, in order to do this, it is necessary to accurately detect and localize the position of each neuron during the data acquisition. In this paper, we present a novel model-based neuron detection algorithm using sparse location priors. We formulate the neuron detection problem as an image reconstruction problem where we reconstruct an image that encodes the location of the neuron centers. We use a sparsity based prior model since the neuron centers are sparsely distributed in the 3D volume. The information about the shape of neurons is encoded in the forward model using the impulse response of a filter and is estimated from training data. Our method is robust to illumination variance and noise in the image. Furthermore, the cost function to minimize in our formulation is convex and hence is not dependent on good initialization. We test our method on GCaMP6 fluorescence neuron images and observe better performance than widely used methods.
Reproducibility analysis of multi‐institutional paired expert annotations and radiomic features of the Ivy Glioblastoma Atlas Project (Ivy GAP) dataset (2020)

The annotations and the associated meta-data for Ivy GAP are released with the purpose of enabling researchers toward developing image-based biomarkers for prognostic/predictive applications in GBM.
Depth Perception with a Newly Developed Microscope Stereotest (2021)

Depth perception under the microscope is more accurate under the binocular than in the monocular condition, indicating the potential role of stereopsis. Anisometropia deteriorates depth perception, suggesting that refractive error should be corrected during microscopic work, such as during ophthalmic surgery.
Wavelet-based multiresolution motion estimation through median filtering (2002)

In this paper, a non-causal median filtering method is proposed to predict the motion vectors across the wavelet subbands of a video frame for multiresolution motion estimation. This median filtering method effectively overcomes the problem of propagation of false motion vectors that exists in the conventional multiresolution motion estimation schemes. A significant feature of the proposed technique is that it imposes no demand for additional bandwidth. Simulation studies show that this median filtering-based multiresolution motion; estimation technique effectively improves the motion prediction performance. It is further shown that this performance improvement is achieved with little increase in the computational complexity.
Reconfigurable Generation of High-Order Ultra-Wideband Waveforms Using Edge Detection (2010)

The generation of ultra-wideband (UWB), high-frequency waveforms based on nonlinear propagation of pulses in optical fibers is reported. Self-phase modulation and subsequent optical filtering are used to implement all-optical edge detectors, which generate two temporally-narrowed replicas of each input pulse. The shapes of the narrowed pulses are subtracted from that of the original one in a balanced differential detector, providing a UWB waveform. The use of multiple replicas and nonlinear propagation allows for the generation of higher-order pulse shapes, beyond those of a Gaussian monocycle or doublet. The output pulse shape is reconfigurable through adjusting the input power and detuning the optical filters. The central radio-frequency of the generated waveforms is as high as 34 GHz, with a fractional bandwidth of 70%.
Compressed Sensing Based Low-Power Multi-View Video Coding and Transmission in Wireless Multi-Path Multi-Hop Networks (2021)

Wireless Multimedia Sensor Network (WMSN) is increasingly being deployed for surveillance, monitoring and Internet-of-Things (IoT) sensing applications where a set of cameras capture and compress local images and then transmit the data to a remote controller. Such captured local images may also be compressed in a multi-view fashion to reduce the redundancy among overlapping views. In this paper, we present a novel paradigm for compressed-sensing-enabled multi-view coding and streaming in WMSN. We first propose a new encoding and decoding architecture for multi-view video systems based on Compressed Sensing (CS) principles, composed of cooperative sparsity-aware block-level rate-adaptive encoders, feedback channels and independent decoders. The proposed architecture leverages the properties of CS to overcome many limitations of traditional encoding techniques, specifically massive storage requirements and high computational complexity. Then, we present a modeling framework that exploits the aforementioned coding architecture. The proposed mathematical problem minimizes the power consumption by jointly determining the encoding rate and multi-path rate allocation subject to distortion and energy constraints. Extensive performance evaluation results show that the proposed framework is able to transmit multi-view streams with guaranteed video quality at lower power consumption.
Hodgkin’s Lymphoma in Adults (2013)

Most questions in the treatment of HL can now be answered on the basis of sufficient evidence from the literature. This holds in particular for the potential benefit to be gained from PET, follow-up care, and lifestyle recommendations for patients.
“Light Adjustable IOLs” (2004)

Significance: Cataract surgery with IOL implantation is the most commonly performed surgical procedure in patients over 60 years old in the United States. Approximately 2 million patients in the US will undergo cataract surgery and IOL implantation this year. While this procedure has undergone numerous refinements over the past 25 years, certain problems remain. In particular, calculations of IOL power are sometimes imprecise because of improper pre-operative measurements, post-operative astigmatism from irregular wound healing, or variability in placement of the IOL.
Tick tock: building browser red pills from timing side channels (2014)

Red pills allow programs to detect if their execution en-vironment is a CPU emulator or a virtual machine. They are used by digital rights management systems and by malware authors. In this paper we study the possibility of browser-based red pills, namely red pills implemented as Javascript that runs in the browser and attempts to detect if the browser is running inside a virtual machine. These browser red pills can limit the effectiveness of Web mal-ware scanners: scanners that detect drive-by downloads and other malicious content by crawling the Web using a browser in an emulated environment. We present multi-ple browser red pills that are robust across browser plat-forms and emulation technology. We also discuss poten-tial mitigations that Web scanners can use to thwart some of these red pills. 1
End-to-end optimization of multiframe imaging systems (2006)

We introduce a novel framework for designing digital imaging systems which considers multiframe image reconstruction. We describe how we adapt commercial lens design software to predict and optimize the end-to-end performance of multiframe optical-digital systems.
Neural organization and plasticity of language (1998)

Powerful advances in neuroimaging techniques have added to and refined classical descriptions of the neurobiology of language in adults. Recent studies have employed these methodologies to study the nature and extent of plasticity of language-relevant aspects of cerebral organization in adults, in early and late bilinguals and in people who have acquired language through different modalities. Studies of children have documented dynamic shifts in cerebral organization over the course of language acquisition. Each of these different approaches has revealed constraints on the identity of the neural systems that mediate language; these studies have also described the marked and specific effects of language experience on the organization of these systems.
Energy-efficient electrochemical CO2 capture from the atmosphere (2009)

We discuss our experimental progress toward energyefficient electrochemical CO 2 capture from the atmosphere. First we discuss the latest results from an ongoing project that uses a modified-fuel-cell-based approach for CO 2 concentration [1]. Using this approach, we have demonstrated CO2 capture from atmospheric concentrations with an energy consumption of less than 400 kJ/mol(CO2). We also discuss progress on a second approach to electrochemical CO2 concentration: a novel pH-controlled, high pressure electrodialysis system that allows energyefficient, high-rate CO 2 separation from the atmosphere [2].
Enantioselective β‐Arylation of Ketones Enabled by Lithiation/Borylation/1,4‐Addition Sequence Under Flow Conditions (2012)

The first multistep asymmetric catalysis in flow has been realized using a lithiation/borylation/rhodium-catalyzed 1,4-addition sequence. The three-step sequence starts from readily available and inexpensive aryl bromides, affording β-arylated ketones in good yields with high levels of enantioselectivity. Detailed facts of importance to specialist readers are published as ”Supporting Information”. Such documents are peer-reviewed, but not copy-edited or typeset. They are made available as submitted by the authors. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
Term Infant Formula Supplemented with Human Milk Oligosaccharides (2′Fucosyllactose and Lacto‐N‐ neo tetraose) Shifts Stool Microbiota and Metabolic Signatures Closer to that of Breastfed Infants (2016)

Human milk oligosaccharides (HMOs) may provide benefits to formula‐fed infants in part by influencing the establishment of the intestinal microbiota. We evaluated effects of infant formula with 2 HMOs (2′Fucosyllactose [2′FL] and Lacto‐N‐ neo tetraose [LNnT]) on the early intestinal microbiota in infants (ClinicalTrials.gov NCT01715246). Healthy term infants ages 0–14 days were randomly assigned to intact protein cow's milk‐based infant formula (Control, n 87) or the same formula with 1.0 g/L 2′FL and 0.5 g/L LNnT (Test, n 88); a reference group of breastfed infants was also included ( n 38). Stool samples were collected at age 3 months for assessment of microbiota using 16S rRNA gene sequencing and metagenomics; metabolic signature was assessed using proton NMR‐based metabolite profiling. The global average microbial composition profile, established for infants with available stool samples who had adhered to the study protocol, showed a similar pattern for Control ( n 65) and Test ( n 58) at the genus level, although Test was closer to breastfed ( n 34) than Control. Calculation of microbial alpha diversity and comparison of the global microbiota composition using random permutations of the redundancy analysis (RDA) confirmed that Test was different from Control at the genus level (p&lt;0.001) and closer to the breastfed group. Statistical analyses identified several taxa differentially present in Control and Test: Bifidobacterium (p=0.01), Escherichia (p=0.008), unclassified Coprobacillaceae (p=0.01), unclassified Peptostreptococcaceae (p=0.026), Dorea (p=0.033), and Megamonas (p=0.035). Correction for False Discovery Rate confirmed the first three observations. Main discriminants between Test and Control by random forest analysis were Bifidobacterium , Escherichia and Peptostreptococcaceae . Clinically relevant pathogens were rare; however, Clostridium difficile toxin A/B was detected in 14% of Test and 26% of Control (OR 0.47, CI 0.17–1.27, p=0.15). Multivariate analysis identified phenylalanine, isoleucine, tyrosine, fecal organic acids and fucosylated compounds as influential metabolites that discriminated between the Test, Control and breastfed groups. Globally, the values observed in Test were more similar to those observed in the breastfed group compared with Control, a finding that may indicate reduced protein fermentation. Together these findings indicate that the addition of 2′FL and LNnT to a starter infant formula shifts the stool microbiota and metabolic signature towards those observed in breastfed infants, both in several aspects of composition and function. Further studies are warranted to evaluate whether such a shift in gut ecology towards the breastfed standard leads to health benefits. Support or Funding Information The study was funded by Nestec S.A.