gebhart/patrepeval huggingface dataset:
Freenet: Spectrum and energy harvesting wireless networks (2016)

The dramatic growth in mobile data traffic is resulting in spectrum crunch, and is also leading to exorbitant energy consumption. Thus, it is desirable to liberate mobile and wireless networks from the constraint of spectrum scarcity and to rein in growing energy consumption. This article introduces FreeNet, figuratively synonymous with “Free Network,” which engineers spectrum and energy harvesting techniques to alleviate spectrum and energy constraints by sensing and harvesting spare spectrum for data communications and utilizing renewable energy as power supplies, respectively. Hence, FreeNet increases the spectrum and energy efficiency of wireless networks and enhances network availability. As a result, FreeNet can be deployed to alleviate network congestion in urban areas, provision broadband services in rural areas, and upgrade emergency communication capacity. This article provides a brief analysis of the design of FreeNet that accommodates the dynamics of the spare spectrum and employs renewable energy.
CHORE: Contact, Human and Object REconstruction from a single RGB image (2022)

Most prior works in perceiving 3D humans from images reason human in isolation without their surroundings. However, humans are constantly interacting with the surrounding objects, thus calling for models that can reason about not only the human but also the object and their interaction. The problem is extremely challenging due to heavy occlusions between humans and objects, diverse interaction types and depth ambiguity. In this paper, we introduce CHORE, a novel method that learns to jointly reconstruct the human and the object from a single RGB image. CHORE takes inspiration from recent advances in implicit surface learning and classical model-based fitting. We compute a neural reconstruction of human and object represented implicitly with two unsigned distance fields, a correspondence field to a parametric body and an object pose field. This allows us to robustly fit a parametric body model and a 3D object template, while reasoning about interactions. Furthermore, prior pixel-aligned implicit learning methods use synthetic data and make assumptions that are not met in the real data. We propose a elegant depth-aware scaling that allows more efficient shape learning on real data. Experiments show that our joint reconstruction learned with the proposed strategy significantly outperforms the SOTA. Our code and models are available at https://virtualhumans.mpi-inf.mpg.de/chore
Mosaic, Single‐Crystal CaCO3 Thin Films Fabricated on Modified Polymer Templates (2005)

Abstract Mosaic, single‐crystal CaCO 3 thin films have been prepared on modified poly(ethylene terephthalate) (PET) templates. Surface modification of PET through the introduction of carboxylic acid groups (COOH‐PET), and the subsequent physical and chemical adsorption of poly(allylamine hydrochloride) (PAH) at pH 8 (PAH8‐PET) and pH 11 (PAH11‐PET), afford template surfaces that influenced the phase transition of an amorphous CaCO 3 (ACC) films during crystallization in air. Macroscopic ACC thin films are prepared on modified PET films in the presence of poly(acrylic acid). Polycrystalline, spherulitic vaterite (CaCO 3 ) films are observed to form on native PET and PAH11‐PET, while mosaic, single‐crystal calcitic (CaCO 3 ) films form on COOH‐PET and PAH8‐PET templates. These results confirm that single‐crystal CaCO 3 growth patterns are dependent on the surface characteristics of the PET template. We infer therefore, that the nucleation and growth of ceramic films on polymeric templates can be controlled by chemical modification of the polymeric template surface, and by the subsequent attachment of ionic polyelectrolytes.
The effect of transmission variance on observer placement for source-localization (2017)

Detecting where an epidemic started, i.e., which node in a network was the source, is of crucial importance in many contexts. However, finding the source of an epidemic can be challenging, especially because the information available is often sparse and noisy. We consider a setting in which we want to localize the source based exclusively on the information provided by a small number of <i>observers</i> - i.e., nodes that can reveal if and when they are infected - and we study where such observers should be placed. We show that the optimal observer placement depends not only on the topology of the network, but also on the variance of the node-to-node transmission delays. We consider both low-variance and high-variance regimes for the transmission delays and propose algorithms for observer placement in both cases. In the low-variance regime, it suffices to only consider the network-topology and to choose observers that, based on their distances to all other nodes in the network, can distinguish among possible sources. However, the high-variance regime requires a new approach in order to guarantee that the observed infection times are sufficiently informative about the location of the source and do not get masked by the noise in the transmission delays; this is accomplished by additionally ensuring that the observers are not placed too far apart. We validate our approaches with simulations on three real-world networks. Compared to state-of-the-art strategies for observer placement, our methods have a better performance in terms of source-localization accuracy for both the low- and the high-variance regimes.
Structural dissection of Ebola virus and its assembly determinants using cryo-electron tomography (2012)

Ebola virus is a highly pathogenic filovirus causing severe hemorrhagic fever with high mortality rates. It assembles heterogenous, filamentous, enveloped virus particles containing a negative-sense, single-stranded RNA genome packaged within a helical nucleocapsid (NC). We have used cryo-electron microscopy and tomography to visualize Ebola virus particles, as well as Ebola virus-like particles, in three dimensions in a near-native state. The NC within the virion forms a left-handed helix with an inner nucleoprotein layer decorated with protruding arms composed of VP24 and VP35. A comparison with the closely related Marburg virus shows that the N-terminal region of nucleoprotein defines the inner diameter of the Ebola virus NC, whereas the RNA genome defines its length. Binding of the nucleoprotein to RNA can assemble a loosely coiled NC-like structure; the loose coil can be condensed by binding of the viral matrix protein VP40 to the C terminus of the nucleoprotein, and rigidified by binding of VP24 and VP35 to alternate copies of the nucleoprotein. Four proteins (NP, VP24, VP35, and VP40) are necessary and sufficient to mediate assembly of an NC with structure, symmetry, variability, and flexibility indistinguishable from that in Ebola virus particles released from infected cells. Together these data provide a structural and architectural description of Ebola virus and define the roles of viral proteins in its structure and assembly.
DPSK-labeled direct-detected optical OFDM transmission (2009)

We propose the generation, detection, and label swapping methods for DPSK-labelled almost no influence on the superior performance of OFDM payload.
Feasibility of Transmitting 270 Gbit/s with PAM-8 in O-band CWDM4 with IM/DD System (2021)

We have shown transmission of 270 Gb/s with PAM-8 at each lane of CWDM4 in the O-band up to 2 km. The BER performance in each lane are very similar at 7% HD-FEC limit.
Neuroimaging communality between schizophrenia and obsessive compulsive disorder: A putative basis for schizo-obsessive disorder? (2003)

Four major brain regions have been repeatedly implicated in the pathophysiology of obsessive compulsive disorder (OCD) in in vivo neuroimaging studies: the caudate nucleus, the orbitofrontal cortex, the anterior cingulate gyrus and the mediodorsal thalamic nucleus. The present review describes the neuroimaging studies on schizophrenia, pertaining to these brain regions. Our working hypothesis is that such common brain regions, if dysfunctional in schizophrenic patients, would be candidates for a neural network subserving the newly emerging syndrome of schizo-obsessive disorder. Findings, though, are controversial. We conclude that further studies, aimed at specific monitoring of these brain regions, in patients suffering from the schizo-obsessive syndrome are warranted.
Protein Export (2014)

This chapter describes what is known about protein export in Helicobacter pylori from the perspective of the general mechanisms for protein export in gram-negative bacteria. Autotransporters constitute one terminal branch of the general secretory pathway (GSP), frequently employed to export virulence factors. A new Sec-independent system for translocation of proteins across the inner membrane (IM) has recently been identified, and orthologs of the essential genes of this system have been found in the H. pylori genome. Sec-dependent translocation across the IM requires the substrate protein to be unfolded. Most ATP-binding cassette (ABC) transporters are, however, not involved in protein export, but in the efflux and influx of a diverse group of substrates. To date, none of the potential ABC transporters in H. pylori has been proposed to be involved in protein export. Motility is mediated by the sheathed flagella in H. pylori and is necessary for colonization in animal models. In the context of the chapter the flagellar export apparatus potentially is interesting owing to its similarity to type III export systems. Recently, in a different system, it has been demonstrated that the flagellar transport apparatus of Yersinia enterocolitica also functions as a protein export system for a pathogenesis-related phospholipase, placing the flagellar export/assembly system under a new light. The proteins discussed in a section, urease, heat shock proteins, and superoxide dismutase, are found only in the cytoplasm of most bacterial species.
A new flexible backbone polyimide adhesive (1990)

A new linear, aromatic, thermoplastic polyimide, identified as LARC-IA, has been synthesized and evaluated, primarily as an adhesive, which is physiologically safe and relatively inexpensive. The polymer was prepared from oxydiphthalic anhydride (ODPA) and 3,4-oxydianiline (ODA) in diglyme. In order to obtain optimal flow properties, which improves wetting, the molecular weight of the polymer was controlled by use of a monofunctional anhydride, phthalic anhydride (PA). Adhesively bonded lap shear specimens, using Ti-6AI-4V adherends, were prepared and tested to assess its adhesive potential. Specimens were exposed to water boil and thermal aging to determine the adhesive system's durability. Flatwise tensile strength and critical fracture energy were also determined. Results were compared to data for LARC-TPI. Preliminary flexural strength and modulus results were also obtained for composites fabricated from LARC-IA (5% PA) and graphite fibers (AS4, 12K). Initial results of this study indicate considerable promise for this material as a structural adhesive for applications for temperatures up to 200°C.
Comparing Scanning Electron Microscope and Transmission Electron Microscope Grain Mapping Techniques Applied to Well-Defined and Highly Irregular Nanoparticles (2020)

Investigating how grain structure affects the functional properties of nanoparticles requires a robust method for nanoscale grain mapping. In this study, we directly compare the grain mapping ability of transmission Kikuchi diffraction (TKD) in a scanning electron microscope to automated crystal orientation mapping (ACOM) in a transmission electron microscope across multiple nanoparticle materials. Analysis of well-defined Au, ZnO, and ZnSe nanoparticles showed that the grain orientations and GB geometries obtained by TKD are accurate and match those obtained by ACOM. For more complex polycrystalline Cu nanostructures, TKD provided an interpretable grain map whereas ACOM, with or without precession electron diffraction, yielded speckled, uninterpretable maps with orientation errors. Acquisition times for TKD were generally shorter than those for ACOM. Our results validate the use of TKD for characterizing grain orientation and grain boundary distributions in nanoparticles, providing a framework for the broader exploration of how microstructure influences nanoparticle properties.
Drugs for Allosteric Sites on Receptors (2011)

The presence of druggable, topographically distinct allosteric sites on a wide range of receptor families has offered new paradigms for small molecules to modulate receptor function. Moreover, ligands that target allosteric sites offer significant advantages over the corresponding orthosteric ligands in terms of selectivity, including subtype selectivity within receptor families, and can also impart improved physicochemical properties. However, allosteric ligands are not a panacea. Many chemical issues (e.g., flat structure-activity relationships) and pharmacological issues (e.g., ligand-biased signaling) that are allosteric centric have emerged. Notably, the fact that allosteric sites are less evolutionarily conserved leads to improved selectivity; however, this can also lead to species differences that can hinder safety assessment. Many allosteric ligands possess molecular switches, wherein a small structural change (chemical or metabolic) can modulate the mode of pharmacology or receptor subtype selectivity. As the field has matured, as described here, key principles and strategies have emerged for the design of ligands/drugs for allosteric sites.
Interaction of CK1δ with γTuSC ensures proper microtubule assembly and spindle positioning (2015)

Casein kinase 1δ (CK1δ) family members associate with microtubule-organizing centers (MTOCs) from yeast to humans, but their mitotic roles and targets have yet to be identified. We show here that budding yeast CK1δ, Hrr25, is a γ-tubulin small complex (γTuSC) binding factor. Moreover, Hrr25's association with γTuSC depends on its kinase activity and its noncatalytic central domain. Loss of Hrr25 kinase activity resulted in assembly of unusually long cytoplasmic microtubules and defects in spindle positioning, consistent with roles in regulation of γTuSC-mediated microtubule nucleation and the Kar9 spindle-positioning pathway, respectively. Hrr25 directly phosphorylated γTuSC proteins in vivo and in vitro, and this phosphorylation promoted γTuSC integrity and activity. Because CK1δ and γTuSC are highly conserved and present at MTOCs in diverse eukaryotes, similar regulatory mechanisms are expected to apply generally in eukaryotes.
Formal verification of error correcting circuits using computational algebraic geometry (2012)

Algebraic error correcting codes (ECC) are widely used to implement reliability features in modern servers and systems and pose a formidable verification challenge. We present a novel methodology and techniques for provably correct design of ECC logics. The methodology is comprised of a design specification method that directly exposes the ECC algorithm's underlying math to a verification layer, encapsulated in a tool “BLUEVERI”, which establishes the correctness of the design conclusively by using an apparatus of computational algebraic geometry (Buchberger's algorithm for Gro¨bner basis construction). We present results from its application to example circuits to demonstrate the effectiveness of the approach. The methodology has been successfully applied to prove correctness of large error correcting circuits on IBM's POWER systems to protect memory storage and processor to memory communication, as well as a host of smaller error correcting circuits.
The Sonochemical Insertion of Nanomaterials into Mesostructures (2005)

Abstract For Abstract see ChemInform Abstract in Full Text.
Proposal for a new risk model in myelodysplastic syndrome that accounts for events not considered in the original International Prognostic Scoring System (2008)

The new model accounts for duration of MDS and prior therapy. It is applicable to any patient with MDS at any time during the course of MDS.
Two Level AC-DC-AC Converter Design with a New Approach to Implement Finite Control Set Model Predictive Control (2021)

Due to various applications of variable frequency drives in industry, design procedure and control methods of these converters have attracted many researchers from both industry and academia. In this paper, a high power density AC-DC-AC converter design is presented alongside finite control set model predictive control method. Using model predictive control for the LC filter at the load side enables load voltage control which is an important issue in variable frequency drive applications. Also, input, output, and DC link filters' design methods are presented and the results are compared to the designed filters in the literature. The comparison shows significant filter size decrease by using presented approach. Applying the proposed control method to the AC-DC-AC converter brings benefits such as simple implementation, robustness to the load changes, and fast dynamic response compared to conventional control methods. Finally, to demonstrate the effectiveness of the proposed design and control method, the designed variable frequency drive has been simulated and the results are presented.
Three-Dimensional Linear Endoscopic Ultrasound-Feasibility of a Novel Technique Applied for the Detection of Vessel Involvement of Pancreatic Masses (2005)

Linear 3D EUS seems feasible for pancreatic evaluation. In addition, linear EUS enhanced the evaluation of vascular involvement of pancreatic lesions, especially in chronic pancreatitis.
Thoracic Endovascular Aortic Aneurysm Repair (2016)

Thoracic aortic aneurysms and their complications have been noted since antiquity with Pare in 1572 speculating on a direct link with syphilis. Thoracic endovascular aortic aneurysm repair (TEVAR) is a safe and effective therapy for different aortic pathologies leading to promising long-term results, with patients with acute type B aortic dissections, aneurysms, and traumatic ruptures seeming to benefit the most. Surgical intervention is advised in the presence of symptoms, rapid dilatation, and compression of adjacent thoracic or abdominal structures, rupture, and diameter ranging 5-7 cm depending on age, associated risks, and medical comorbidities. Open repair of thoracic aortic aneurysm (TAA) and thoracoabdominal aortic aneurysm (TAAA) confers significant morbidity and measureable mortality, potential blood loss, and physiologic stresses to heart and lungs. Computed tomography remains the gold standard for preoperative imaging. TEVAR has been used successfully in all aortic pathologies, both emergent and elective including aortic transection, aneurysmal disease, and dissection.
[Usefulness of a standardized method for collecting anamnestic data in multiple sclerosis (MS)]. (1989)

In order to improve the collection of historical data and the evaluation of the clinical course of the disease in MS patients, a standard questionnaire was structured using precise criteria for definition of the disease phase, type of course and symptoms, respectively. A preliminary validation resulted in significant inter- and intra-observer agreement on all collected historical data and definition of lesion localization. Such structured interviews, included in day-to-day clinical care as well as in computerized databases for MS, could improve the possibility of collecting data shareable between different studies and centers.
Northern Lights Maps : Spatiotemporal Exploration of Mice Movement (2009)

published
Re-Inventing the Food Supply Chain with IoT: A Data-Driven Solution to Reduce Food Loss (2022)

The global food supply chain needs to evolve to meet a 50 percent increase in food demand by 2050. While food production grows every year, according to a report by the Food and Agriculture Organization (FAO), around 25 percent of roots and tubers, 20 percent of fruits and vegetables, 8 percent of grains and pulses, and 13 percent of animal products are lost before distribution. The majority of such losses are attributed to inadequate monitoring and poor handling during storage and transport. Moreover, the handling of produce in the supply chain also impacts its nutritional content and shelf life. Such losses, when coupled with the rising frequency of epidemics and climate events, further exacerbate the problem of food security for the global population. In addressing the problem of food loss in the supply chain, the biggest hurdle is the lack of traceability and information. On one hand, precision farming helps improve food production efficiency. On the other hand, useful insights post-harvest are not measured due to cost limitations. The ones that are measured often end up in silos or are lost. To overcome these challenges, we propose a framework that leverages low-power IoT sensing networks, smart edges, and data-driven optimization to re-invent the supply chain. In this work, we derive from lessons learned while working with various agricultural supply chain partners and share insights based on some technology solutions that we have explored. We take a bottom-up approach in analyzing the major challenges faced by today's food supply chain. Starting with individual food pallets, we propose ways to develop an agile and low-cost data pipeline that can sense and track the food as it moves through the global supply chain. Further, we propose a dedicated optimization framework that can leverage cloud analytics to boost sustainability and efficiency in the global food chain to meet the growing demand.
Materials screening workflow methodologies for metal oxides and chalcogenides for use in novel devices (2017)

Materials are playing an increasingly important role to enable novel device applications beyond dimensional scaling. We describe areas of ferroelectric materials, high Eg dielectrics, chalcogenides, and oxide semiconductors. These materials find potential use in advanced memory, select element and transistor applications. In each area, a material screening workflow methodology is used to garner physical as well as electrical properties. DFT modeling of basic materials properties is used to complement experimental results.
A 1V 30mW 10b 100MSample/s Pipeline A/D Converter Using Capacitance Coupling Techniques (2006)

A 10b 100MSample/s pipeline A/D converter in 90nm process consumes 30mW at 1.0V power supply. The proposed capacitance coupling S/H stage and capacitance coupled class-AB amplifier achieve low distortion and low power dissipation at high-speed sampling. The SNDR and SFDR at 100MHz sampling are 54.0 dB and 70.0 dB, respectively