gebhart/patrepeval huggingface dataset:
BARBED, BI-DIRECTIONAL SURGICAL SUTURES (2012)

Surgical sutures are the most frequently used biomaterials for wound closure and tissue approximation. However, they rely on the surgeon's ability to tie secured knots, which is a challenging and time consuming process. Improper tying and handling can result in knot breakage or slippage, and potentially wound dehiscence. Further, the knot impedes wound healing, constricts blood flow, distorts tissue, and increases scar formation. To alleviate these problems, attempts have been made to design self-anchoring sutures. Recently, a novel knotless suture has been developed (Figure 1) in which bi-directional barbs are introduced into an absorbable monofilament suture using micro-machining techniques. This paper describes the analytical characterization of the barb geometry, and the biomechanical performance of the suture, including in vitro and in vivo wound closure testing. The former employs specialized microscopy and image analysis techniques. The latter entails tensile strength testing and apposition of tissues with a variety of stitch techniques, in comparison to commercially available sutures. These results will form the basis for further research into barb/tissue interactions and optimization of barb geometry for specific surgical applications.
Hybrid memory cube new DRAM architecture increases density and performance (2012)

Multi-core processor performance is limited by memory system bandwidth. The Hybrid Memory Cube is a three-dimensional DRAM architecture that improves latency, bandwidth, power and density. Through-silicon vias (TSVs), 3D packaging and advanced CMOS performance enable a new approach to memory system architecture. Heterogeneous die are stacked with significantly more connections, thereby reducing the distance signals travel.
Classification and Selection of Biomarkers in Genomic Data Using LASSO (2005)

High‐throughput gene expression technologies such as microarrays have been utilized in a variety of scientific applications. Most of the work has been done on assessing univariate associations between gene expression profiles with clinical outcome (variable selection) or on developing classification procedures with gene expression data (supervised learning). We consider a hybrid variable selection/classification approach that is based on linear combinations of the gene expression profiles that maximize an accuracy measure summarized using the receiver operating characteristic curve. Under a specific probability model, this leads to the consideration of linear discriminant functions. We incorporate an automated variable selection approach using LASSO. An equivalence between LASSO estimation with support vector machines allows for model fitting using standard software. We apply the proposed method to simulated data as well as data from a recently published prostate cancer study.
Special Issue and Annoucement: Speckle II (1986)

The first 12 papers in this issue comprise the second part of two special issues of Optical Engineering on speckle. The first 12 papers appeared in the preceding issue (May 1986, Vol. 25, No. 5). Topics addressed in the present issue include speckle statistics, speckle metrology, speckle in imaging and radar systems, speckle in astronomy, and speckle interferometry.
Liquid metal actuator driven by electrochemical manipulation of surface tension (2017)

We examine the electrocapillary properties of a fluidic actuator composed of a liquid metal droplet that is submerged in electrolytic solution and attached to an elastic beam. The beam deflection is controlled by electrochemically driven changes in the surface energy of the droplet. The metal is a eutectic gallium-indium alloy that is liquid at room temperature and forms an nm-thin Ga2O3 skin when oxidized. The effective surface tension of the droplet changes dramatically with oxidation and reduction, which are reversibly controlled by applying low voltage to the electrolytic bath. Wetting the droplet to two copper pads allows for a controllable tensile force to be developed between the opposing surfaces. We demonstrate the ability to reliably control force by changing the applied oxidizing voltage. Actuator forces and droplet geometries are also examined by performing a computational fluid mechanics simulation using Surface Evolver. The theoretical predictions are in qualitative agreement with the experimental measurements and provide additional confirmation that actuation is driven by surface tension.
The Sternotomy Hemopump (1993)

The first generation Hemopump is a VAD based on a catheter mounted intraarterial axial flow blood pump that is placed through the femoral artery. Blood is withdrawn from the left ventricle through a transvalvular inflow cannula and pumped into the aorta. Clinical trials have demonstrated hemodynamic efficacy, improved survival, and low hemolysis in cardiogenic shock. The incidence of non-insertion of the device and fracture of the flexible drive cable limited its utility, however. In addition, some processes used in pilot production could not be adapted to volume manufacturing. A second generation device, the Sternotomy Hemopump, has been developed for insertion through the ascending aorta. Design changes include a shortened inflow cannula, higher flow hydraulics, and a more durable flexible drive cable. In addition, more efficient manufacturing processes were implemented. In a pulsatile mock loop the flow was 5.7 L/min at 100 mmHg. In vivo experiments of up to 2 weeks demonstrated a mean plasma free hemoglobin of 8.7 mg/dl, minimal valve injury, and an acceptable incidence of renal infarction. In vitro endurance demonstrated a 7 day reliability of 99.9% with a 95% confidence. A new clinical trial will evaluate the use of the Sternotomy Hemopump for nonoxygenator support during aorto-coronary artery bypass surgery.
A laboratory study to estimate pore geometric parameters of sandstones using complex conductivity and nuclear magnetic resonance for permeability prediction (2016)

Abstract We estimate parameters from the Katz and Thompson permeability model using laboratory complex electrical conductivity (CC) and nuclear magnetic resonance (NMR) data to build permeability models parameterized with geophysical measurements. We use the Katz and Thompson model based on the characteristic hydraulic length scale, determined from mercury injection capillary pressure estimates of pore throat size, and the intrinsic formation factor, determined from multisalinity conductivity measurements, for this purpose. Two new permeability models are tested, one based on CC data and another that incorporates CC and NMR data. From measurements made on forty‐five sandstone cores collected from fifteen different formations, we evaluate how well the CC relaxation time and the NMR transverse relaxation times compare to the characteristic hydraulic length scale and how well the formation factor estimated from CC parameters compares to the intrinsic formation factor. We find: (1) the NMR transverse relaxation time models the characteristic hydraulic length scale more accurately than the CC relaxation time ( of 0.69 and 0.33 and normalized root mean square errors (NRMSE) of 0.16 and 0.21, respectively); (2) the CC estimated formation factor is well correlated with the intrinsic formation factor (NRMSE=0.23). We demonstrate that that permeability estimates from the joint‐NMR‐CC model (NRMSE=0.13) compare favorably to estimates from the Katz and Thompson model (NRMSE=0.074). This model advances the capability of the Katz and Thompson model by employing parameters measureable in the field giving it the potential to more accurately estimate permeability using geophysical measurements than are currently possible.
Hybrid model predictive control application towards optimal semi-active suspension (2006)

The optimal control problem of a quarter-car semi-active suspension has been studied in the past. Considering that a quarter-car semi-active suspension can either be modelled as a linear system with state dependent constraint on control (of actuator force) input, or a bi-linear system with a control (of variable damping coefficient) saturation, the seemingly simple problem poses several interesting questions and challenges. Does the saturated version of the optimal control law derived from the corresponding un-constrained system, i.e. “clipped-optimal”, remain optimal for the constrained case as suggested in some previous publications? Or should the optimal deviate from the “clipped-optimal” as suggested in other publications? If the optimal control law of the constrained system does deviate from its unconstrained counter-part, how different are they? What is the structure of the optimal control law? Does it retain the linear state feedback form (as the unconstrained case)? In this paper, we attempt to answer some of the above questions by utilizing the recent development in model predictive control (MPC) of hybrid dynamical systems. The constrained quarter-car semi-active suspension is modelled as a switching affine system, where the switching is determined by the activation of passivity constraints, force saturation, and maximum power dissipation limits. Theoretically, over an infinite prediction horizon the MPC controller corresponds to the exact optimal controller. The performance of different finite-horizon hybrid MPC controllers is tested in simulation using mixed-integer quadratic programming. Then, for short-horizon MPC controllers, we derive the explicit optimal control law and show that the optimal control is piecewise affine in state. In the process, we show that for horizon equal to one the explicit MPC control law corresponds to clipped LQR as expected. We also compare the derived optimal control law to various semi-active control laws in the literature including the well-known “clipped-optimal”. We evaluate their corresponding performances for both a deterministic shock input case and a stochastic random disturbances case through simulations.
Incorporation of a Cp*Rh(III)-dithiophosphate Cofactor with Latent Activity into a Protein Scaffold Generates a Biohybrid Catalyst Promoting C(sp2)–H Bond Functionalization (2020)

A Cp*Rh(III)-dithiophosphate cofactor with "latent" catalytic activity was developed to construct an artificial metalloenzyme representing a new type of biohybrid catalyst which is capable of promoting C(sp<sup>2</sup>)-H bond functionalization within the β-barrel structure of nitrobindin (NB). To covalently conjugate the Cp*Rh(III) cofactor into a specific position of the hydrophobic cavity of NB via a maleimide-Cys linkage, strong chelation of the dithiophosphate ligand is employed to protect the rhodium metal center against attack by nucleophilic amino acid residues in the protein. It is found that subsequent addition of the Ag<sup>+</sup> ion induces dissociation of the dithiophosphate ligands, thereby activating the catalytic activity of the Cp*Rh(III) cofactor. The resulting "active" biohybrid catalyst promotes cycloaddition of acetophenone oxime with diphenylacetylene via C(sp<sup>2</sup>)-H bond activation. This catalytic activity is enhanced 2.3-fold with the introduction of two glutamate residues (A100E/L125E) adjacent to the Cp*Rh(III) cofactor. The Cp*Rh(III) cofactor with switchable activity from a "latent" form to an "active" form provides a new strategy for generating biohybrid catalysts incorporating a variety of highly reactive transition metal complexes specifically within its protein scaffolds.
Playing FPS Games With Environment-Aware Hierarchical Reinforcement Learning (2019)

Learning rational behaviors in First-person-shooter (FPS) games is a challenging task for Reinforcement Learning (RL) with the primary difficulties of huge action space and insufficient exploration. To address this, we propose a hierarchical agent based on combined options with intrinsic rewards to drive exploration. Specifically, we present a hierarchical model that works in a manager-worker fashion over two levels of hierarchy. The high-level manager learns a policy over options, and the low-level workers, motivated by intrinsic reward, learn to execute the options. Performance is further improved with environmental signals appropriately harnessed. Extensive experiments demonstrate that our trained bot significantly outperforms the alternative RL-based models on FPS games requiring maze solving and combat skills, etc. Notably, we achieved first place in VDAIC 2018 Track(1).
Selective Construction of Pd2Pt and PdPt2 Triangles in a Sandwich Framework: Carbocyclic Ligands as Scaffolds for a Mixed‐Metal System (2012)

Sandwich time! The mixed-metal triangular-trinuclear sandwich complexes of Pd(2)Pt and PdPt(2) were selectively synthesized. The Pd(2)Pt and PdPt(2) triangles in a cycloheptatrienyl sandwich framework were identified by (31)P NMR analyses of the tris-triphenylphosphine complexes (see scheme).
Synergistic Killing of Streptococcus pneumoniae with the Bacteriophage Lytic Enzyme Cpl-1 and Penicillin or Gentamicin Depends on the Level of Penicillin Resistance (2005)

A combination of Cpl-1, a bacteriophage lytic enzyme, and penicillin, gentamicin, levofloxacin, or azithromycin was tested against Streptococcus pneumoniae strains with various susceptibilities to penicillin. Activities of Cpl-1 and gentamicin were increasingly synergistic with a decreasing penicillin MIC, while Cpl-1 and penicillin showed synergy against an extremely penicillin-resistant strain.
Google Goes Cancer: Improving Outcome Prediction for Cancer Patients by Network-Based Ranking of Marker Genes (2012)

Predicting the clinical outcome of cancer patients based on the expression of marker genes in their tumors has received increasing interest in the past decade. Accurate predictors of outcome and response to therapy could be used to personalize and thereby improve therapy. However, state of the art methods used so far often found marker genes with limited prediction accuracy, limited reproducibility, and unclear biological relevance. To address this problem, we developed a novel computational approach to identify genes prognostic for outcome that couples gene expression measurements from primary tumor samples with a network of known relationships between the genes. Our approach ranks genes according to their prognostic relevance using both expression and network information in a manner similar to Google's PageRank. We applied this method to gene expression profiles which we obtained from 30 patients with pancreatic cancer, and identified seven candidate marker genes prognostic for outcome. Compared to genes found with state of the art methods, such as Pearson correlation of gene expression with survival time, we improve the prediction accuracy by up to 7%. Accuracies were assessed using support vector machine classifiers and Monte Carlo cross-validation. We then validated the prognostic value of our seven candidate markers using immunohistochemistry on an independent set of 412 pancreatic cancer samples. Notably, signatures derived from our candidate markers were independently predictive of outcome and superior to established clinical prognostic factors such as grade, tumor size, and nodal status. As the amount of genomic data of individual tumors grows rapidly, our algorithm meets the need for powerful computational approaches that are key to exploit these data for personalized cancer therapies in clinical practice.
Quantity as a Fish Views It: Behavior and Neurobiology (2022)

An ability to estimate quantities, such as the number of conspecifics or the size of a predator, has been reported in vertebrates. Fish, in particular zebrafish, may be instrumental in advancing the understanding of magnitude cognition. We review here the behavioral studies that have described the ecological relevance of quantity estimation in fish and the current status of the research aimed at investigating the neurobiological bases of these abilities. By combining behavioral methods with molecular genetics and calcium imaging, the involvement of the retina and the optic tectum has been documented for the estimation of continuous quantities in the larval and adult zebrafish brain, and the contributions of the thalamus and the dorsal-central pallium for discrete magnitude estimation in the adult zebrafish brain. Evidence for basic circuitry can now be complemented and extended to research that make use of transgenic lines to deepen our understanding of quantity cognition at genetic and molecular levels.
Preferential response patterns of cytotoxic T lymphocytes specific for fluorescein isothiocyanate-[FITC] modified autologous cells. (1982)

Murine cytotoxic responses to TNP-modified syngeneic cells (TNP-self) have been shown to exhibit preferential recognition of K or D end self products encoded by the H-2 complex. In the present study, a number of B10 congenic and recombinant mouse strains were investigated to determine the H-2K and H-2D-restricted FTC-self CTL response patterns, and these were compared with the CTL response patterns obtained for TNP-self. The results indicate that for strains possessing the H-2k,d,h2,h4 haplotypes, respectively, preferential CTL responses were observed against FTC recognized in association with Kk over Dk, Dd over Kd, and Kk over Db. These patterns of preferential CTL responses were the same as those reported for TNP-self as well as several anti-viral CTL responses. In contrast to the results obtained in the B10.A strain, in which Kk preference was observed over Dd for TNP-self CTL, no preferential CTL response was observed when FTC was recognized in association with Kk and with Dd. In this context, it was observed that the CTL response to FTC recognized in association with Dd was particularly strong. This strong D end-associated response was shown to involve D locus products, and no evidence was obtained indicating that L locus self products were involved. These studies are discussed with respect to the possibility that different haptens can be recognized by CTL in association with different self determinants encoded by the same H-2 gene products.
Toward Whole-Brain Minimally-Invasive Vascular Imaging (2023)

Imaging the brain vasculature can be critical for cerebral perfusion monitoring in the context of neurocritical care. Although ultrasensitive Doppler (UD) can provide good sensitivity to cerebral blood volume (CBV) in a large field of view, it remains difficult to perform through the skull. In this work, we investigate how a minimally invasive burr hole, performed for intracranial pressure (ICP) monitoring, could be used to map the entire brain vascular tree. We explored the use of a small motorized phased array probe with a non-implantable preclinical prototype in pigs. The scan duration (18 min) and coverage (62 $\pm$ 12 % of the brain) obtained allowed global CBV variations detection (relative in brain Dopplerdecrease =-3[-4-+16]% \&amp; Dopplerincrease. = +1[-3-+15]%, n = 6 \&amp; 5) and stroke detection (relative in core Dopplerstroke. =-25%, n = 1). This technology could one day be miniaturized to be implanted for brain perfusion monitoring in neurocritical care.
ChemInform Abstract: A CONVENIENT METHOD FOR THE PREPARATION OF ALKYL IODIDES FROM ALCOHOLS (1983)

Abstract Alkohole (I) werden mit Natriumiodid und Polyphosphorsätnre‐trimethylsilylester, der aus Phosphorpentoxid und Hexamethyldisiloxan gut zugänglich ist.
Assessing chronic stroke survivors with aphasia sheds light on prevalence of spatial neglect (2016)

This study demonstrates the need to administer functional neglect assessments in left-brain stroke and to include individuals with aphasia in research.
A pixel-level automatic calibration circuit scheme for sensing initialization of a capacitive fingerprint sensor LSI (2002)

We propose a pixel-level automatic calibration circuit scheme that initializes a capacitive fingerprint sensor LSI to eliminate the influence of the surface condition, which is degraded by dirt during practical use. The calibration is executed by adjusting the variable capacitance in each pixel to make the sensed signals of all pixels the same. A fingerprint sensor LSI using the 0.5-/spl mu/m CMOS process/sensor process demonstrates that clear fingerprint images are always obtained by the scheme though the surface condition degrades. The proposed scheme ensures consistent clear image capture during long-term usage.
Social cardboard: Pretotyping a social ethnodroid in the wild (2016)

Pretotyping is a set of techniques, tools, and metrics for gauging the interest in a product, prior to full-scale development [1]. This late breaking report describes a pretotyping case study of an ethnodroid - a robot that functions as an ethnographer - intended to engage with young children and record their learning progress. The central requirement for the project is that the robot will be able to interact socially with children aged 1-6 years in tablet-based tasks. We developed a simple robot made of MDF (thick cardboard), added tablets for the face and torso, and controlled a scripted interaction using Wizard of Oz (WoZ). Children's engagement with the robot was tested in an early learning centre which provided a relatively structured environment (“in the lab”) and at a science fair which provided a relatively unconstrained setting (“in the wild”). The rapid testing revealed distinct effects in the children's attitudes and behaviors in the two user contexts and provided insights into form, sensors and analyses for the design process.
Platform Based Design of Terminals and Infrastructure Components for Cognitive Wireless Networks (2007)

Cooperative wireless networks will facilitate a beneficial evolution of multimedia communications, setting out from the today's multitude of communication standards and radio interfaces both in the licensed and the unlicensed domain. The deployment of cognitive wireless solutions, which will form the communication platforms, will be a key asset because we expect to see an increasingly flexible, ad-hoc utilization of the available spectrum in the unlicensed domain and a co-existence of communication standards in the licensed bands. In this communication, the authors will illustrate a platform based approach towards cognitive wireless communications. Three software defined radio concepts designed by the authors will be presented, namely the HAWK (Highly Adaptable Wireless Kit), the FALCON (Flexible Access Logic for Communication Networks), and the MUSTANG (MUlti-STAndard single chip transceiver for the Next Generation), finally, giving an outlook on their wireless optical communication device, termed ARGOS. These concepts form the basis of the authors' cognitive wireless termed PROMETHEUS.
Toward Efficient Femtosecond Solid State Yb Amplifiers Pumped by a 976-nm YDFA (2011)

We demonstrate high-single-pass-gain broadband amplification in Yb:CaF2 crystal pumped with a high-brightness source based on an ultra-large-core photonic-crystal fiber-rod. 3-fold single-pass gain enhancement was obtained in a 10-mm-long room-temperature Yb:CaF2, which significantly outperforms any cw-diode-pumped scheme.
Bloodlines of haematopoietic stem cell research in Japan (2008)

Haematopoietic stem cells (HSCs) can supply all blood cells throughout the adult life of individuals. Based on this property, HSCs have been used for bone marrow and cord blood transplantation. Among various stem cells, HSCs were recognized earliest and were studied most extensively, providing a model for other stem cells. Knowledge of HSC regulation has rapidly accumulated of late. Contributions of scientists in Japan to progress HSC biology are here briefly overviewed. Focusing on the original work accomplished in Japan in the last two decades, people who have led such activities are introduced and their relationships with one another are sketched.