gebhart/patrepeval huggingface dataset:
Detection of Multiple Cytokines by Protein Arrays from Cell Lysate and Tissue Lysate (2003)

Previously we demonstrated that multiple cytokines could be simultaneously detected using an antibody-based protein array system with high sensitivity and specificity from conditioned medium and serum. Here, we created a higher density array system to simultaneously detect 35 cytokines from cell lysates and tissue lysates. This assay combines the advantages of the specificity of enzyme-linked immunosorbent assays (ELISA), sensitivity of enhanced chemiluminescence (ECL), and high-throughput of microspot. In this system, capture antibodies dissolved in methanol were spotted onto polyvinylidene difluoride (PVDF) membranes. The membranes were then incubated with tissue lysates or cell lysates. After removing unbound proteins by extensive washing, the membranes were exposed to horseradish peroxidase (HRP)-conjugated antibody(ies). The signals were visualized with an ECL system. High specificity, sensitivity, and accuracy of this approach were demonstrated. This approach can be used in any general laboratory setting without any sophisticated equipment. It should be feasible to extend this concept to develop a high-throughput protein array system. Combining nitrocellulose membrane-based and PVDF membrane-based approaches, the human cytokine array system can be applied to detect multiple cytokine expression from cell lysate, tissue lysate, serum, plasma, and conditioned medium. Future applications of this new approach include direct protein expression profiling, immunological disease diagnostics, and discovery of new biomarkers.
Heterogeneous Collaborative Sensor Network for Electrical Management of an Automated House with PV Energy (2011)

In this paper we present a heterogeneous collaborative sensor network for electrical management in the residential sector. Improving demand-side management is very important in distributed energy generation applications. Sensing and control are the foundations of the "Smart Grid" which is the future of large-scale energy management. The system presented in this paper has been developed on a self-sufficient solar house called "MagicBox" equipped with grid connection, PV generation, lead-acid batteries, controllable appliances and smart metering. Therefore, there is a large number of energy variables to be monitored that allow us to precisely manage the energy performance of the house by means of collaborative sensors. The experimental results, performed on a real house, demonstrate the feasibility of the proposed collaborative system to reduce the consumption of electrical power and to increase energy efficiency.
The Emergence of Halide Layered Double Perovskites (2020)

Halide double perovskites have allowed the significant expansion of the possible metals and oxidation states in halide perovskites. Further, they have shown some remarkable properties and applications. Akin to the dimensional reduction in halide perovskites to generate layered perovskites, it has recently been shown that it is also possible to dimensionally reduce double perovskites to generate layered double perovskites (LDPs). The implications of such realization are tremendous from several different perspectives. First, it widens the space of possible metals, as LDPs can be made of BI, BII, and BIII cations and their permutations. Second, it allows the modulation of the materials' electronic structure through dimensional reduction and quantum confinement effects. Third, it allows the incorporation of many more organic cations, thereby providing a more chemically, structurally, and electronically diverse pool of materials. The combinations of these three factors result in a potentially infinite family of new materials with new or improved properties and applications. Herein, we describe the emergence of this new family and the known chemical, structural, and electronic features and review their proved and potential applications. Finally, we highlight some of the challenges and propose some future avenues of research and areas of opportunity for these materials.
Real-Time, Three-Dimensional Object Detection and Modeling in Construction (2005)

Real-Time, Three-Dimensional Object Detection and Modeling in Construction Jochen Teizer, Frederic Bosche, Carlos H. Caldas, Carl T. Haas, Katherine A. Liapi Abstract: This paper describes a research effort directed to produce methods to model three-dimensional scenes of construction field objects in real-time that adds valuable data to construction information management systems, as well as equipment navigation systems. For efficiency reasons, typical construction objects are modeled by bounding surfaces using a high-frame rate range sensor, called Flash LADAR. The sensor provides a dense cloud of range points which are segmented and grouped into objects. Algorithms are being developed to accurately detect these objects and model characteristics such as volume, speed, and direction. Initial experiments show the feasibility of this method. The advantages and limitations, and potential solutions to limitations are summarized in this paper. Keywords: No keywords DOI: https://doi.org/10.22260/ISARC2005/0026 Download fulltext Download BibTex Download Endnote (RIS) TeX Import to Mendeley
Mechanical properties of porcine intralobar pulmonary arteries (1988)

The isobaric and isovolumetric properties of intrapulmonary arteries were evaluated by placing a highly compliant balloon inside arterial segments. The passive pressure-volume (P-V) curve was obtained by changing volume (0.004 ml/s) and measuring pressure. The isobaric active volume change (delta V) or isovolumetric active pressure change (delta P) generated by submaximal histamine was measured at four different transmural pressures (Ptm's) reached by balloon inflation. The maximal delta P = 11.2 +/- 0.6 cmH2O (mean +/- SE) was achieved at 30.8 +/- 1.2 cmH2O Ptm and maximal delta V = 0.20 +/- 0.02 ml at 16.7 +/- 1.7 cmH2O Ptm. The P-V relationships were similar when volume was increased after either isobaric or isovolumetric contraction. The calculated length-tension (L-T) relationship showed that the active tension curve was relatively flat and that the passive tension at the optimal length was 149 +/- 11% of maximal active tension. These data show that 1) a large elastic component operates in parallel with the smooth muscle in intralobar pulmonary arteries, and 2) the change in resistance associated with vascular expansion of the proximal arteries is independent of the type of contraction that occurs in the more distal arterial segments.
Next Generation Expandable Completion Systems (2006)

Abstract This paper documents an 18-month expandable technology research and development effort that has culminated in a system that enables a new approach to reservoir architecture. The drive for maximum well productivity compels oil and gas companies to consider openhole completion strategies. However, historical uptake has been impeded by inability to achieve effective zonal isolation. The Expandable Reservoir Completion [ERC] combines slotted and solid expandable technology and features a return to conventional unexpanded premium connections to deliver a freely configurable reservoir completion architecture, offering a combination of openhole production performance and cased hole functionality. Fundamental to the new Expandable Reservoir Completion is a unique, selective rotary compliant expansion technique, which is used to clad the formation wall with expandable screens, slotted liner or solid tubulars with sealing units. This technique facilitates unparalleled flexibility in reservoir design by allowing sections of conventional casing to remain unexpanded between zones. This enables integration with conventional flow control and intelligent completion equipment, ultimately permitting selective isolation & production control. This paper outlines detailed test data generated by the development program, which included three downhole field trial installations. In addition to this, information from the first global commercial installations will be presented, from pre-job planning through to post installation performance review. The Expandable Reservoir Completion builds upon existing expandable sand screen and solid expandable technologies to deliver a combination of productivity and functionality previously unavailable to the petroleum industry.
ChemInform Abstract: A NEW SYNTHESIS OF PYRROLES FROM NITRO ALKENES (1985)

Abstract In Gegenwart der Base (III) reagieren die substituierten Isonitrile (I) mit den Nitroalkenen (II) zu Pyrrolen (IV); (IVa) entsteht auch mit DBU als Base in 80 %iger Ausbeute.
Frequency-Selective Predistortion Linearization of RF Power Amplifiers (2008)

<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <?Pub Dtl=""?>This paper presents a frequency-selective RF vector predistortion linearization system for RF multicarrier power amplifiers (PAs) affected by strong differential memory effects. Differential memory effects can be revealed in two-tone experiment by the divergence for increasing tone-spacing of the vector Volterra coefficients associated with the lower and upper intermodulations tones. Using large-signal vector measurement with a large-singal network analyzer, a class-AB LDMOS RF PA is demonstrated to exhibit a strong differential memory effect for modulation bandwidth above 0.3 MHz. New frequency-selective RF and baseband predistortion linearization algorithms are proposed to separately address the linearization requirements of the interband and inband intermodulation products of both the lower and upper sidebands. Theoretical verification of the algorithms are demonstrated with <emphasis emphasistype="smcaps"><emphasis emphasistype="bold">Matlab</emphasis></emphasis> simulations using a Volterra/Wiener PA model with memory effects. The baseband linearization algorithm is next implemented in a field-programmable gate array and experimentally investigated for the linearization of the class-AB LDMOS PA for two carrier wideband code-division multiple-access signals. The ability of the algorithm to selectively linearize the two interband and four inband intermodulation products is demonstrated. Adjacent channel leakage ratio of up to 45 dBc for inband and interband are demonstrated experimentally at twice the typical fractional bandwidth. </para>
Calcyclin (S100A6) Binding Protein (CacyBP) Is Highly Expressed in Brain Neurons (2000)

The expression of a novel calcyclin (S100A6) binding protein (CacyBP) in different rat tissues was determined by Western and Northern blotting. Polyclonal antibodies against recombinant CacyBP purified from E. coli exhibited the highest reaction in the brain and weaker reaction in liver, spleen, and stomach. CacyBP immunoreactivity was also detected in lung and kidney. Densitometric analysis showed that the concentration of CacyBP in the soluble fractions of total brain and cerebellum is approximately 0.17 and 0. 34 ng/microg protein, respectively. Northern blotting with a specific cDNA probe confirmed the high level of CacyBP expression in the rat brain and lower levels in other tissues examined. Immunohistochemistry and in situ hybridization of rat brain sections revealed strong expression of CacyBP in neurons of the cerebellum, hippocampus, and cortex. The in situ hybridization detected CacyBP in hippocampus as early as P7 (postnatal day 7) and a peak of expression at P21, and the expression signal was preserved until adulthood. In the entorhinal cortex, the peak of expression was observed at P7, whereas in the cerebellum it was seen at P21. The results presented here show that CacyBP is predominantly a neuronal protein. (J Histochem Cytochem 48:1195-1202)
EnjoyPhoto (2006)

In this paper, we propose building a vertical image search engine called EnjoyPhoto that leverages rich metadata from various photo forum web sites to meet users' requirements for enjoying high-quality photos, which is virtually impossible in traditional image search engines. To solve the ranking problem when aggregating multiple photo forums, we propose a novel rank fusion algorithm that uses duplicate photos to normalize rating scores. To further improve user experiences in enjoying photos, we design an in-place image browsing interface, and compare it with several other interfaces in a user study. With rich metadata and rating information, more attractive user interfaces are enabled, including slideshow authoring and photo recommendations. We conducted experiments and user studies on a 2.5-million image database to evaluate the proposed rank fusion algorithm, investigate the rationale behind building a vertical image search engine, and study user interfaces and preferences for the purpose of enjoying high-quality photos. The experimental results demonstrate the effectiveness of the proposed ranking algorithm. The results also show that the 2.5-million high-quality image database in EnjoyPhoto performs comparably with Google's 1- billion image database for queries related to location, nature, and daily life categories. Finally, our results show that the in-place browsing interface-called Force-Transfer view-is much more convenient for users than traditional interfaces.
The structural-color based on the mechanism of butterfly wing coloring for wide viewing angle reflective display (2004)

Male Morpho didius displays brilliant blue color with less viewing angle dependence. It is known that this coloring does not come from pigments but from the surface micro/nano-structure. A less viewing angle dependent display is proposed by analyzing the coloring mechanisms. We've fabricated the structures displaying still images as well as different bright structural-colors. In addition, we placed them on an electrostatic comb-drive actuator to change the color.
Biometric person authentication with liveness detection based on audio-visual fusion (2009)

In this paper, we propose two new approaches for extracting mouth features for authenticating the person identity with liveness checks. The novel correlated audio-lip features and tensor lip-motion features allow liveness checks to be included in the person identity authentication systems, and ensures that the biometric cues are acquired from a live person who is actually present at the time of capture. Incorporating liveness check functionality in identity authentication systems can guard the system against the advanced spoofing attempts such as manufactured or replayed videos.
Highly Reactive Se Precursor for the Phosphine-Free Synthesis of Metal Selenide Nanocrystals (2010)

Herein we present a general phosphine-free synthesis of metal selenide nanocrystals. In this method, reduction of elemental Se with sodium borohydride in the presence of hydrophobic alkylamines generated hydrophobic alkylammonium selenide species in situ. The phosphine-free Se precursor was found to be highly reactive and suitable for the synthesis of various metal selenide nanocrystals. Its high reactivity was also exploited to derive core−shell CdSe@CdS quantum dots (QDs) in one-pot synthesis, without the need for prior purification of CdSe cores. This provided a greener and less expensive route to the large-scale synthesis of metal selenide QDs. Our approach also presented a facile route for tuning the surface properties of metal selenides. It was found that the presence of excess elemental sulfur could quench the luminescence of QDs by the trapping of surface electrons. However, the luminescence could be photoactivated via ultraviolet (UV) irradiation. This deactivation−photoactivation process was reversible, and could be applied toward generating a designed photoluminescent pattern on a solid substrate.
Dynamic On-Demand Fog Formation Offering On-the-Fly IoT Service Deployment (2020)

With the increasing number of IoT devices, fog computing has emerged, providing processing resources at the edge for the tremendous amount of sensed data and IoT computation. The advantage of the fog gets eliminated if it is not present near IoT devices. Fogs nowadays are pre-configured in specific locations with pre-defined services, which limit their diverse availabilities and dynamic service update. In this paper, we address the aforementioned problem by benefiting from the containerization and micro-service technologies to build our on-demand fog framework with the help of the volunteering devices. Our approach overcomes the current limitations by providing available fog devices with the ability to have services deployed on the fly. Volunteering devices form a resource capacity for building the fog computing infrastructure. Moreover, our framework leverages intelligent container placement scheme that produces efficient volunteers' selection and distribution of services. An Evolutionary Memetic Algorithm (MA) is elaborated to solve our multi-objective container placement optimization problem. Real life and simulated experiments demonstrate various improvements over existing approaches interpreted by the relevance and efficiency of (1) forming volunteering fog devices near users with maximum time availability and shortest distance, and (2) deploying services on the fly on selected fogs with improved QoS.
Multi - Agent Deep Deterministic Policy Gradient Based Satellite Spectrum/Code Resource Scheduling with Multi-constraint (2022)

For multi-user satellite Internet of Things (IoT) systems operating at lower signal-to-noise ratio, spread spectrum techniques are usually used to combat narrowband interference. In addition, the communication performance in the spread spectrum system depends on the anti-jamming ability of the spreading codes (SCs). Therefore, how to design the SCs distributed scheduling strategies under multi-users requirements and resource constraints has become a crucial problem for satellite IoT systems. In this paper, the number of collisions and the amount of transmitted data are introduced as gauges to measure the distributed scheduling performance of the satellite multi-user systems. Specifically, terminal gateways (TGs) must efficiently and effectively select limited available SCs according to their state at each communication time slot independently. The SCs distributed scheduling problem is formulated as a Markov Decision Process (MDP) along with the observed environments composed of resource status and TGs status. Then a deep rein-forcement learning scheduling algorithm is devised by combining the A2C framework and the idea of multi-user. Simulation results show that the proposed algorithm can achieve much better performance than traditional algorithms in reducing scheduling conflicts and improving communication efficiency. Finally, we draw some conclusions.
Design of MMT-based Broadcasting System for UHD Video Streaming over Heterogeneous Networks (2015)

초고품질 멀티미디어에 대한 사용자 요구가 증가하고 있지만, 현재 방송 환경으로는 고해상도 대용량의 UHD 콘텐츠를 저작, 인코딩, 재생 및 전송하기 어렵다. 따라서 사용자 요구를 만족하기 위한 UHD급 영상을 지원하는 디스플레이, UHD 서비스를 수신하는 단말기 그리고 대용량의 데이터를 수용할 수 있는 네트워크 등 다양한 분야의 기술들이 빠르게 발전하고 있다. 이에 본 논문에서는 UHD 미디어 전송을 위해 스케일러블 비디오 코딩을 이용하여 영상을 부호화하고 이를 각 계층별로 다른 네트워크를 통해 전송하는 송신시스템과 분리되어 수신된 비디오 스트림을 하나의 영상으로 재생하는 수신 시스템을 설계한다. 제안 시스템은 이 기종 망을 이용함으로써 사용자의 수신 환경에 적응적으로 HD와 UHD 콘텐츠를 모두 지원할 수 있다. Even if the demands for ultra-high-quality multimedia contents are increasing, it is difficult to produce, encode, play and transport ultra-high-quality contents under the existing broadcasting environment. By the reason, various technologies for the UHD contents have been developed in order to satisfy the user's needs. In this paper, we propose a design methodology of a broadcasting system, which consists of two parts, for UHD services with two parts. At the transmit part of the proposed system can encode a video into several layered-bitstreams hierarchically, and then transport each bitstream over heterogeneous networks. The receiver part can play the received video by composing the separated bitstreams. The proposed system can adaptively provide both HD and UHD contents according to user's reception conditions by using the heterogeneous networks.
Site-specific conjugation of native antibody (2020)

Traditionally, non-specific chemical conjugation, such as acylation of amines on lysine or alkylation of thiols on cysteines, are widely used; however, they have several shortcomings. First, the lack of site-specificity results in heterogeneous products and irreproducible processes. Second, potential modifications near the complementarity determining region (CDR) may reduce binding affinity and specificity. Conversely, site-specific methods produce well-defined and more homogenous antibody conjugates, ensuring developability and clinical applications. Moreover, several recent side-by-side comparisons of site-specific and stochastic methods have demonstrated that site-specific approaches are more likely to achieve their desired properties and functions, such as increased plasma stability, less variability in dose-dependent studies (particularly at low concentrations), enhanced binding efficiency, as well as increased tumor uptake. Herein we review several standard and practical site-specific bioconjugation methods for native antibodies, i.e., those without recombinant engineering. First, chemo-enzymatic techniques, namely transglutaminase (TGase)-mediated transamidation of a conserved glutamine residue and glycan remodeling of a conserved asparagine N-glycan (GlyCLICK), both in the Fc region. Second, chemical approaches such as selective reduction of disulfides (ThioBridge) and N-terminal amine modifications. Furthermore, we list site-specific antibody-drug conjugates (ADCs) in clinical trials along with the future perspectives of these site-specific methods.
Arthroscopic Femoral Neck Osteoplasty in Slipped Capital Femoral Epiphysis (2014)

Level IV, therapeutic case series.
Evaluation of Carfentrazone-ethyl Alone and in Combination with Glyphosate or Glufosinate for Weed Control in Orchards (1997)

Effect of a new postemergence herbicide carfentrazone-ethyl on controlling weeds in pear orchards was examined and compared with that of glyphosate and glufosinate. Herbicides tested were applied in mid June when weeds had reached at an average height of 15 to 20cm. The experimented orchards were infested mainly by dicots of Artemisia princeps, Chenopodium album, Polygonum hydropiper, Erigeron canadensis, Commelina cummunis, Calystegia japonica, and Amaranthus ascenders, and monocots of Echinochlor crus-galli, Digitaria sangunalis, Setaria viridis, and several sedges, Carfentrazone-ethyl alone effectively controlled dicot weeds in the orchards, but not monocot weeds. Especially, sedges were not adequately controlled by carfentrazone-ethyl alone at any application rates examined. Glyphosate or glufosinate was more effective to control monocot weeds than carfentrazone-ethyl, whereas carfentrazone-ethyl exhibited higher effect on dicot weeds than glyphosate or glufosinate. Carfentrazone-ethyl mixed with glyphosate of the half recommended rate exhibited a higher degree of weed control, especially of E. crus-galli, as compared to the herbicide mixture of carfentrazone-ethyl with glufosinate of the half recommended rate. However, no phytotocixity of the herbicides to pear trees was observed. Our results demonstrate that catfentrazone-ethyl is useful to reduce the application rates and to accelerate the weed controlling effect of glyphosate or glufosinate. Thus, carfentrazone-ethyl in combination with glyphosate or glufosinate can successfully be used to control the most important weeds in orchards.