gebhart/patrepeval huggingface dataset:
Cardiac tolerability of pertuzumab plus trastuzumab plus docetaxel in patients with HER2-positive metastatic breast cancer in the CLEOPATRA study. (2012)

533^ Background: Addition of trastuzumab (T) to chemotherapy has transformed outcomes in pts with HER2-positive breast cancer. In pts who had received anthracyclines (A), T has been associated with cardiac dysfunction. Monitoring cardiac tolerability of anticancer drugs is important, including that of a new regimen combining T with a second anti-HER2 antibody that inhibits HER2 dimerization, pertuzumab (P). In CLEOPATRA, efficacy and safety of P+T+docetaxel (D) were studied in HER2-positive 1 st -line MBC (Baselga 2012). Methods: CLEOPATRA, a randomized, double-blind, placebo-controlled, ph III trial, enrolled 808 pts; 804 were included in the safety population. A baseline (BL) LVEF ≥50%, no history of congestive heart failure, and no LVEF decline to &lt;50% during/after prior T were required. Treatment was administered q3w until disease progression or unmanageable toxicity (P/placebo [Pla]: 840 mg, followed by 420 mg; T: 8 mg/kg, followed by 6 mg/kg; D [≥6 cycles recommended]: 75 mg/m 2 , escalating to 100 mg/m 2 if tolerated). LVEF was assessed by ECHO or MUGA at BL, every 9 wks during treatment, at discontinuation, and up to 3 yrs thereafter. Adverse events (AE) were monitored continuously and graded according to NCI-CTCAE v3.0. Results: The incidence of any cardiac disorder (grade ≥1) as assessed by the investigators was similar with Pla+T+D (16.4%) and P+T+D (14.5%). LVSD (grade ≥1) was the most frequent cardiac AE and more common with Pla+T+D. At the time of data cutoff for this analysis, 8/11 symptomatic LVSD events had resolved; none fatal. All pts who developed symptomatic LVSD had ≥1 potential cardiac risk factor (prior A, prior T, radiation, smoking, diabetes, hypertension, other). Compared to the overall pt population, only prior A and radiation were higher in pts who developed symptomatic LVSD. Conclusions: CLEOPATRA provides evidence that P+T+D does not increase overall cardiac disorders, specifically symptomatic LVSD, compared to Pla+T+D. [Table: see text]
Adherence-dependent calcium signaling in monocytes: induction of a CD14-high phenotype, stimulus-responsive subpopulation (1997)

Isolation of monocytes by plastic adherence alters cell morphology and function. In order to study the effects of cell isolation procedures and subsequent culture on monocyte function, we examined cytoplasmic calcium concentration changes (delta[Ca2+]in) in human monocytes isolated by either negative (magnetic bead) or positive (plastic adherence) selection then stimulated with formyl-Met-Leu-Phe (fMLP), either immediately after isolation, or after 48 h in culture. We have previously shown that fresh adherence-isolated monocytes respond to fMLP with small delta[Ca2+]in and oxidative burst responses, exhibiting larger responses following 48 h of incubation. We now demonstrate that fresh monocytes, prevented from adhering by negative selection, exhibit an even smaller fMLP-induced delta[Ca2+]in, which does not increase during 48 h in culture if cells are kept nonadherent, in Teflon. Calcium responses of adherent, fresh monocytes do not increase if cells are subsequently placed into suspension and maintained nonadherent, but increase if nonadherent cells are permitted to adhere to plastic. Furthermore, augmented fMLP-[Ca2+]in and oxidative burst responses in plastic-adherent cells are restricted to a CD14-high phenotype subpopulation. The CD14-high phenotype also describes a subpopulation of cells that responds to CD4 crosslinking with a rapid delta[Ca2+]in. Induction of a subpopulation of CD14-high expressing cells by adherence may explain in part maturation-induced response changes observed in macrophage but not in monocyte in vitro systems.
LEACHING OF CADMIUM, TELLURIUM AND COPPER FROM CADMIUM TELLURIDE PHOTOVOLTAIC MODULES. (2004)

Separating the metals from the glass is the first step in recycling end-of-life cadmium telluride photovoltaic modules and manufacturing scrap. We accomplished this by leaching the metals in solutions of various concentrations of acids and hydrogen peroxide. A relatively dilute solution of sulfuric acid and hydrogen peroxide was found to be most effective for leaching cadmium and tellurium from broken pieces of CdTe PV modules. A solution comprising 5 mL of hydrogen peroxide per kg of PV scrap in 1 M sulfuric acid, gave better results than the 12 mL H{sub 2}O{sub 2}/kg, 3.2 M H{sub 2}SO{sub 4} solution currently used in the industry. Our study also showed that this dilute solution is more effective than hydrochloric-acid solutions and it can be reused after adding a small amount of hydrogen peroxide. These findings, when implemented in large-scale operation, would result in significant savings due to reductions in volume of the concentrated leaching agents (H{sub 2}SO{sub 4} and H{sub 2}O{sub 2}) and of the alkaline reagents required to neutralize the residuals of leaching.
ERDraw: An XML-based ER-diagram Drawing and Translation Tool. (2003)

The Entity-Relationship (ER) model is one of the most popular methodologies for designing relational databases. Several commercial ER-diagrams in a graphical fashion. Their architectures and implementation details, however, are not available in public. Inspired by these products and recent developments in XML technology and semantic drawing framework Drawlet, we have developed an educational prototype ERDraw that supports drawing ERdiagrams visually and translating them to relational database schemas automatically. In this paper, we describe the architecture of ERDraw and its implementation details to illustrate how such a tool can be developed.
Technique for preparing cross‐section transmission electron microscopy specimens from ceramic oxide braze joints (1988)

A method for preparing cross-section transmission electron microscopy specimens from alumina and partially stabilized zirconia braze joints is described. The technique relies on masking a mechanically dimpled 3-mm disc in order to avoid preferential thinning of the metallic braze filler alloy during ion milling. The results presented show that specimens made by this technique are suitable for characterizing the fine microstructural details of interfacial reactions at oxide surfaces that occur during brazing.
Accurately Differentiating Between Patients With COVID-19, Patients With Other Viral Infections, and Healthy Individuals: Multimodal Late Fusion Learning Approach (Preprint) (2020)

<sec> <title>BACKGROUND</title> Effectively identifying patients with COVID-19 using nonpolymerase chain reaction biomedical data is critical for achieving optimal clinical outcomes. Currently, there is a lack of comprehensive understanding in various biomedical features and appropriate analytical approaches for enabling the early detection and effective diagnosis of patients with COVID-19. </sec> <sec> <title>OBJECTIVE</title> We aimed to combine low-dimensional clinical and lab testing data, as well as high-dimensional computed tomography (CT) imaging data, to accurately differentiate between healthy individuals, patients with COVID-19, and patients with non-COVID viral pneumonia, especially at the early stage of infection. </sec> <sec> <title>METHODS</title> In this study, we recruited 214 patients with nonsevere COVID-19, 148 patients with severe COVID-19, 198 noninfected healthy participants, and 129 patients with non-COVID viral pneumonia. The participants’ clinical information (ie, 23 features), lab testing results (ie, 10 features), and CT scans upon admission were acquired and used as 3 input feature modalities. To enable the late fusion of multimodal features, we constructed a deep learning model to extract a 10-feature high-level representation of CT scans. We then developed 3 machine learning models (ie, k-nearest neighbor, random forest, and support vector machine models) based on the combined 43 features from all 3 modalities to differentiate between the following 4 classes: nonsevere, severe, healthy, and viral pneumonia. </sec> <sec> <title>RESULTS</title> Multimodal features provided substantial performance gain from the use of any single feature modality. All 3 machine learning models had high overall prediction accuracy (95.4%-97.7%) and high class-specific prediction accuracy (90.6%-99.9%). </sec> <sec> <title>CONCLUSIONS</title> Compared to the existing binary classification benchmarks that are often focused on single-feature modality, this study’s hybrid deep learning-machine learning framework provided a novel and effective breakthrough for clinical applications. Our findings, which come from a relatively large sample size, and analytical workflow will supplement and assist with clinical decision support for current COVID-19 diagnostic methods and other clinical applications with high-dimensional multimodal biomedical features. </sec>
Open subpectoral biceps tenodesis (2017)

Tenodesis of the proximal long head of the biceps tendon (LHBT) has become a popular surgical treatment for shoulder pain secondary to LHBT pathology. The surgical technique maintains the appropriate tension of the LHBT and prevents the cosmetic deformity commonly seen with a LHBT tenotomy. Arthroscopic suprapectoral LHBT tenodesis provides a minimally invasive surgical treatment for LHBT pathology, but there is concern regarding residual bicipital postoperative pain.1–2 Histological analysis of the LHBT has revealed a greater degree of degeneration along the more proximal portion.3 In addition, the proximal LHBT has been reported to have an increase in sensory neurons, suggesting a possible generator of shoulder pain due to LHBT pathology.4 Nonoperative treatment of primary LHBT pathology should be considered initially. Open subpectoral biceps tenodesis (OSPBT) has become an attractive surgical technique when operative treatment is warranted, as it eliminates any residual symptoms from the remaining LHBT stump and instability within the bicipital groove. Multiple OSPBT surgical techniques have been reported utilizing different methods of LHBT fixation. This chapter will detail an open subpectoral biceps tenodesis procedure with an interference screw, initially described by the senior author.5
CD66 identifies the biliary glycoprotein (BGP) adhesion molecule: cloning, expression, and adhesion functions of the BGPc splice variant (1994)

Within the hematopoietic lineage, the monoclonal antibody (MoAb) CD66 reacts with cells of the granulocyte lineage, but not with the majority of progenitor cells from human bone marrow. Our previous studies have shown that CD66 binds specifically to at least three carcinoembryonic antigen (CEA) superfamily members, ie, CEA itself, nonspecific cross-reacting antigen (NCA), and CGM1, but not to CGM6 (NCA-95). In this report, we show that CD66 will also identify the biliary glycoproteins (BGP). A full-length cDNA for the BGPc molecule (a cytoplasmic splice variant of BGPa) was isolated by expression cloning using the CD66 MoAbs. This protein has an identical extracellular and transmembrane sequence to BGPa with one N-terminal IgV like domain, three IgC-like extracellular domains (A1, B1, and A2), plus a transmembrane domain, but the cytoplasmic domain is spliced by 53 nucleotides. Reverse transcriptase-polymerase chain reaction experiments show that this splice variant can be detected in colonic carcinoma cell lines, in primary colonic adenocarcinomas, and in myeloid and B-cell lines to varying degrees. Quantitative analyses of BGPc RNA expression by RNase protection indicate that abundant levels occur only in the colonic, but not in the hematopoietic, cell lines tested. Studies presented here show that BGPc mediates homotypic adhesion and suggest that the cytoplasmic splicing does not alter the initial homotypic adhesion properties of BGPa.
Automatic labeling and classification of brain CT images (2011)

Automatic medical image classification is difficult because of the lacking of training data. As manual labeling is too costly, we provide an automatic labeling solution to this problem by making use of the radiology report associated with the medical images. We first segment and reconstruct the 3D regions of interest (ROIs) from the medical images, and extract pathology and anatomy information from the associated report. We use an anatomical atlas to map the ROIs to the anatomy part(s) and match the pathology information of the same anatomy part(s) from the text. In this way, the ROIs are automatically labeled with pathology types which can be served as class labels, and a training data set of a large number of training instances is generated automatically. We extract the volume, color, location, and shape features of the ROIs, and classify the types of ROIs using these features. The overall evaluation result is promising to doctors and medical professionals. Our experiment is conducted using traumatic brain injury CT images; however, our framework of automatically labeling and classifying medical cases can be extended to medical images in other modality or of other anatomical part.
ANALYSIS OF PRESSURE SWIRL AND PURE AIRBLAST ATOMIZATION (1991)

The fundamental aspects of pressure swirl and airblast atomization in both the break up and drop dispersion regimes are examined. Experiments were conducted by using a high-magnification 4 × 5 camera and an Aerometrics Phase/Doppler particle analyzer to evaluate the spray characteristics and atomizer performance. The primary parameters of interest are liquid film break up length, spray angle, drop size, and trajectory. Observation of wave formation and propagation along the sheet surface was made to provide guidance in formulating mathematical models. Effects of air flow and nozzle design on atomization were examined for a wide range of flow conditions. Computational analysis also was used to predict the sheet break up and subsequent drop behavior. This model considered a swirling sheet interacting with the surrounding air streams. The governing equations were formulated in a curvilinear coordinate system conforming to the film boundaries. Primary break up is based on linear stability analysis. The present model is capable of predicting the variations in thickness, trajectory, velocity, and angle of a liquid film as a function of nozzle geometry, operating conditions, fluid properties, and ambient conditions. Secondary break up and drop history calculations were also included in the model to provide local drop-size spectra. Agreement between the experimental and predicted break up length and angle was excellent. Predictions of drop size, trajectory, and other parameters were qualitatively correct. The present investigation demonstrated a realistic approach for simulating the break up process and described the physical structure of pressure swirl and pure airblast atomizer sprays.
S878 THE FIRST‐IN‐CLASS ANTI‐CD47 ANTIBODY HU5F9‐G4 IS ACTIVE AND WELL TOLERATED ALONE OR IN COMBINATION WITH AZACITIDINE IN AML AND MDS PATIENTS: INITIAL PHASE 1B RESULTS (2019)

Background: Novel and effective therapies are needed in patients with myeloid malignancies. Hu5F9‐G4 (5F9) is a first‐in‐class antibody targeting CD47, a macrophage immune checkpoint and “don’t eat me” signal on cancers, that induces tumor cell phagocytosis. CD47 is also a leukemia stem cell (LSC) marker in AML. Pre‐clinically, CD47 blockade induces phagocytosis of AML cells and eliminates LSCs in animal models. Azacitidine (AZA) synergizes with 5F9 to eliminate AML by inducing pro‐phagocytic signals on AML, thus enhancing phagocytosis. This trial clinically investigated 5F9 alone or with AZA in AML/MDS patients and is the first report of a clinical study combining a CD47 targeting agent with a hypomethylating/cytotoxic agent. Aims: The primary objectives of this study were to evaluate the safety and efficacy of 5F9 treatment in relapsed/refractory (r/r) AML/MDS and 5F9 in combination with AZA in untreated AML and MDS patients. Methods: This Phase 1b trial enrolled: 1) relapsed/refractory (r/r) AML/MDS patients with 5F9 alone; and 2) untreated AML (induction ineligible) and intermediate‐very high risk MDS patients with 5F9+AZA. A 5F9 priming/intra‐patient dose escalation regimen (1–30 mg/kg weekly) was used to mitigate on‐target anemia. Standard AZA dosing was used. Results: 10 (6 AML, 4 MDS) r/r pts received 5F9 (median 2 prior therapies (range 1–6). 24 untreated pts (15 AML, 9 MDS) received 5F9+AZA. In total, median age was 73, 62% of AML pts were intermediate or poor cytogenetic risk (38% unknown), all MDS pts were intermediate or high risk by IPSS‐R. 5F9 alone or with AZA was well‐tolerated with no MTD reached. 5F9 did not potentiate AZA toxicities. Treatment‐related AEs (&gt;10% of pts) for 5F9+AZA were anemia (25%), thrombocytopenia (20%), and infusion reactions (15%). In 25 efficacy evaluable pts, 8/15 (53%) untreated AML/MDS pts had a CR/CRi to 5F9+AZA (5/10 (50%) in AML, 3/5 (60%) in MDS). 1/10 (10%) r/r AML/MDS pts had a response (MLFS) to 5F9 alone. LSCs were reduced/eliminated in the majority of 5F9+AZA responders. 50% of all responders were minimal residual disease (MRD) negative by flow cytometry. 4/10 (40%) previously red cell dependent AML pts became RBC transfusion independent and 4/5 (80%) MDS pts had hematologic improvement. Time to response was more rapid (median 1.9 mos) than expected for AZA alone. As of Jan 2019, no responder has relapsed (median follow‐up of 3.4 mos (range 1.1 – 6.8 mos). 2 pts had successful allogeneic transplant. Additional patients and follow up will be reported. Summary/Conclusion: 5F9+AZA is a novel immunotherapy blocking a key macrophage/cancer checkpoint. It is well tolerated with promising activity in AML/MDS patients including rapid CRs with MRD negativity. Adding 5F9 to cytotoxic agents may be a promising treatment strategy. An expansion cohort is ongoing (NCT03248479). Funded by Forty Seven and California Institute for Regenerative Medicine.
Atomic Resolution in Photon Emission Induced by a Scanning Tunneling Microscope (1995)

A low-temperature ultrahigh-vacuum scanning tunneling microscope (STM) is used to excite photon emission from Au(110) surfaces. In the detected photon intensity the (1 \ifmmode\times\else\texttimes\fi{} 2) reconstruction of the Au surface is clearly resolved. This first observation of atomic resolution in STM-induced photon emission is interpreted in terms of local variations of the electromagnetic interaction of tip and sample occurring at constant tunneling current. Similar effects are expected to affect other scanning probe methods, in particular those involving photons.
Oncogenic ras induces an inhibitor of double-stranded RNA-dependent eukaryotic initiation factor 2 alpha-kinase activation (1992)

The interferon-inducible 68-kDa dsRNA-dependent eIF2 alpha-kinase (dsI) is a potent cellular antiviral enzyme which is activated by autophosphorylation in response to double-stranded RNA (dsRNA). Activated dsI has also been implicated as a second messenger for gene induction by platelet-derived growth factor (PDGF) and interferon (IFN). We have shown previously that introduction of a transforming ras gene into BALB/c-3T3 fibroblasts blocks induction of responsive genes by PDGF and IFN. We therefore investigated the effect of transforming ras genes on dsI activity in these cells. We report here that dsRNA-mediated activation of dsI is blocked in v-ras-containing cells in a manner specific to ras and not attributable to the transformed phenotype since: 1) a dexamethasone-inducible v-Ha-ras gene produced the effect within 18 h of induction; 2) morphologic reversion of ras-transformed cells with cAMP or the Krev-1 gene restored potential for dsI activation; and 3) transformation by v-mos or v-abl had no effect on dsI activation. Latent dsI levels were unaffected by v-ras. A heat-sensitive dsI inhibitory activity could be demonstrated in v-ras-containing cells which functioned in trans when mixed with untransformed cell extracts prior to stimulation with dsRNA. The inhibitory activity, which was destroyed by phenol-chloroform extraction, did not bind dsRNA.
Experimental study on bed-load sediment transport under irregular wave and current combined flow (2001)

Using an irregularly oscillating tray and flume, a series of experiments are completed to evaluate bed-load sediment transport rate under irregular wave- current coexistent fild. Testing conditions include three interaction angles 0°, 45°, 90° and two kinds of median sizes (0.38 and 1.10 mm).The results of transport rate show that the net sediment transport rate can be expressed approximately as the function of the maximum bottom shear stress of waves, mean shear stress of current and the grain size.
Integrated Simulator of Airborne Multi-function Radar Resource Manager and Environment Model (2013)

본 논문은 항공기용 다기능 레이더의 통합적 자원관리를 수행하는 자원관리자와 레이더/환경 시뮬레이터 구축에 대한 연구 결과를 설명한다. 레이더/환경 시뮬레이터는 항공기 레이더의 표적 탐지/측정 모델, 탑재된 레이더의 좌표변환을 고려한 추적 필터 및 효율적인 표적 생성 알고리듬을 포함한다. 항공기 레이더 자원관리 알고리듬의 각 모듈별 구조와 기능을 도출하고, 구축된 레이더/환경 시뮬레이터를 통해 시험 검증하였다. In this paper, an integrated radar resource manager for an airborne multi-function radar and a radar-environment simulator are presented. The radar-environment simulator includes target detection/measurement models, a nonlinear tracking filter for the airborne radar and an effective target generation algorithm. The structures and functions of modules in the radar resource manager are established and validated by the radar-environment simulator.
The TMK1 Gene from Arabidopsis Codes for a Protein with Structural and Biochemical Characteristics of a Receptor Protein Kinase (1992)

Caren Chang, G. Eric Schaller, Sara E. Patterson, Shing F. Kwok, Elliot M. Meyerowitz, Anthony B. Bleecker, The TMK1 Gene from Arabidopsis Codes for a Protein with Structural and Biochemical Characteristics of a Receptor Protein Kinase, The Plant Cell, Vol. 4, No. 10 (Oct., 1992), pp. 1263-1271
Distributed localization of networked cameras (2006)

Camera networks are perhaps the most common type of sensor network and are deployed in a variety of real-world applications including surveillance, intelligent environments and scientific remote monitoring. A key problem in deploying a network of cameras is calibration, i.e., determining the location and orientation of each sensor so that observations in an image can be mapped to locations in the real world. This paper proposes a fully distributed approach for camera network calibration. The cameras collaborate to track an object that moves through the environment and reason probabilistically about which camera poses are consistent with the observed images. This reasoning employs sophisticated techniques for handling the difficult nonlinearities imposed by projective transformations, as well as the dense correlations that arise between distant cameras. Our method requires minimal overlap of the cameras' fields of view and makes very few assumptions about the motion of the object. In contrast to existing approaches, which are centralized, our distributed algorithm scales easily to very large camera networks. We evaluate the system on a real camera network with 25 nodes as well as simulated camera networks of up to 50 cameras and demonstrate that our approach performs well even when communication is lossy.