gebhart/patrepeval huggingface dataset:
Social Media Analytics for Smart Health (2014)

This special section of "Trends & Controversies" focuses on social media analytics for smart health. The introduction, called "Social Media Analytics for Smart Health," is provided by Ahmed Abbasi and Donald Adjeroh. Then Mark Dredze and Michael J. Paul have written "Natural Language Processing for Health and Social Media." Next, Fatemeh "Mariam" Zahedi, Huimin Zhao, Nitin Walia, Hemant Jain, Patrick Sanvanson, and Reza Shaker discuss "Treating Patients Real Avatars in the Virtual Medical Office." The fourth selection, by Marco D. Huesch, is "Social Media versus Privacy and Credibility," The last piece, written by Donald Adjeroh, Richard Beal, Ahmed Abbasi, Wanhong Zheng, Marie Abate, and Arun Ross, is "Signal Fusion for Social Media Analysis of Adverse Drug Events."
Drug Delivery Strategies for the Treatment of Metabolic Diseases (2019)

Metabolic diseases occur when normal metabolic processes are disrupted in the human body, which can be congenital or acquired. The incidence of metabolic diseases worldwide has reached epidemic proportions. So far, various methods including systemic drug therapy and surgery are exploited to prevent and treat metabolic diseases. However, current pharmacotherapeutic options for treatment of these metabolic disorders remain limited and ineffective, especially reducing patient compliance to treatment. Therefore, it is desirable to exploit effective drug delivery approaches to effectively treat metabolic diseases and reduce side effects. This brief review summarizes novel delivery strategies including local, targeted, and oral drug delivery strategies, as well as intelligent stimulus-responsive drug delivery strategy, for the treatment of metabolic disorders including diabetes, obesity, and atherosclerosis.
Three-phase equilibrium in a binary hard-core lattice model (1993)

A binary lattice model with hard-repulsive interactions is presented consisting of hexagons and points on a two-dimensional triangular lattice. This is the first model with hard interactions only to show gas, liquid, and solid phases. The phase diagram is calculated.
A wafer-scale antireflective protection layer of solution-processed TiO<sub>2</sub> nanorods for high performance silicon-based water splitting photocathodes (2016)

TiO<sub>2</sub> NRs which have a multi-function tasks such as protection from corrosion, antireflection and catalytic activities were grown in a 4-inch silicon for silicon-based solar water splitting.
Nonexponential relaxations in strong and fragile glass formers (1993)

Deviations from thermally activated and from exponential response are typical features of the vitrification phenomenon and previously have been studied using viscoelastic, dielectric, calorimetric, optical, and other techniques. Linear response data from literature on about 70 covalent glass formers, ionic melts, supercooled liquids, amorphous polymers, and glassy crystals are surveyed. Except for orientational glasses and monohydric aliphatic alcohols a distinct but broad correlation of non-Debye behavior with non-Arrhenius relaxations is found. Within the broad trend several groups of materials, distinguished by their respective molecular complexity, can be identified and are shown to exhibit narrow correlations. At a given degree of deviation from Arrhenius behavior externally imposed stresses are relaxed with a departure from exponential behavior which is stronger the more the molecular or atomic subunits of the glassforming material are interconnected with each other.
Cooperative Automated Maneuvering at the 2016 Grand Cooperative Driving Challenge (2017)

Cooperative adaptive cruise control and platooning are well-known applications in the field of cooperative automated driving. However, extension toward maneuvering is desired to accommodate common highway maneuvers, such as merging, and to enable urban applications. To this end, a layered control architecture is adopted. In this architecture, the tactical layer hosts the interaction protocols, describing the wireless information exchange to initiate the vehicle maneuvers, supported by a novel wireless message set, whereas the operational layer involves the vehicle controllers to realize the desired maneuvers. This hierarchical approach was the basis for the Grand Cooperative Driving Challenge (GCDC), which was held in May 2016 in The Netherlands. The GCDC provided the opportunity for participating teams to cooperatively execute a highway lane-reduction scenario and an urban intersection-crossing scenario. The GCDC was set up as a competition and, hence, also involving assessment of the teams' individual performance in a cooperative setting. As a result, the hierarchical architecture proved to be a viable approach, whereas the GCDC appeared to be an effective instrument to advance the field of cooperative automated driving.
Levels of Malondialdehyde-Deoxyguanosine in the Gastric Mucosa (2001)

Helicobacter pylori infection is associated with elevated gastric mucosal concentrations of the lipid peroxidation product malondialdehyde and reduced gastric juice vitamin C concentrations. Malondialdehyde can react with DNA bases to form the mutagenic adduct malondialdehyde-deoxyguanosine (M1-dG). We aimed to determine gastric mucosal levels of M1-dG in relation to H. pylori infection and malondialdehyde and vitamin C concentrations. Patients ( n = 124) attending for endoscopy were studied. Levels of antral mucosal M1-dG were determined using a sensitive immunoslot-blot technique; antral mucosal malondialdehyde was determined by thiobarbituric acid extraction, and gastric juice and antral mucosal ascorbic acid and total vitamin C were determined by high-performance liquid chromatography. Sixty-four H. pylori -positive patients received eradication therapy, and endoscopy was repeated at 6 and 12 months. Levels of M1-dG did not differ between subjects with H. pylori gastritis ( n = 85) and those with normal mucosa without H. pylori infection ( n = 39; 56.6 versus 60.1 adducts/108 bases) and were unaffected by age or smoking habits. Malondialdehyde levels were higher (123.7 versus 82.5 pmol/g; P < 0.001), gastric juice ascorbic acid was lower (5.7 versus 15.0 μmol/ml; P < 0.001), and antral mucosal ascorbic acid was unchanged (48.0 versus 42.7 μmol/g) in H. pylori gastritis compared with normal mucosa. Multiple regression analysis revealed that M1-dG increased significantly with increasing levels of malondialdehyde, antral ascorbic acid, and total antral vitamin C. M1-dG levels were unchanged 6 months (63.3 versus 87.0 adducts/108 bases; P = 0.24; n = 38) and 12 months (66.7 versus 77.5 adducts/108 bases; P = 0.8; n = 13) after successful eradication of H. pylori. M1-dG thus is detectable in gastric mucosa, but is not affected directly by H. pylori .
Transverse priority scanning and microscopy for high-resolution optical coherence tomography (2003)

We demonstrate methods for achieving high resolution imaging using alternate scanning techniques in optical coherence tomography and optical coherence microscopy. These techniques enable high transverse resolutions and overcome depth of field limitations. Cellular level resolutions in human tissue may be achieved.
Supplementary Data from SF3B2-Mediated RNA Splicing Drives Human Prostate Cancer Progression (2023)

&lt;p&gt;This file includes extended experimental procedures including 1. Cell culture and transfection, 2. Genome editing using CRISPR/Cas9 system, 3. Western blotting, 4. Production of Spliceostatin A, 5. PAR-CLIP,6. Bioinformatics and supplementary figure legends.&lt;/p&gt;
The Kaiju project (2020)

Microservices architectures are getting momentum. Even small and medium-size companies are migrating towards cloud-based distributed solutions supported by lightweight virtualization techniques, containers, and orchestration systems. In this context, understanding the system behavior at runtime is critical to promptly react to errors. Unfortunately, traditional monitoring techniques are not adequate for such complex and dynamic environments. Therefore, a new challenge, namely observability, emerged from precise industrial needs: expose and make sense of the system behavior at runtime. In this paper, we investigate observability as a research problem. We discuss the benefits of events as a unified abstraction for metrics, logs, and trace data, and the advantages of employing event stream processing techniques and tools in this context. We show that an event-based approach enables understanding the system behavior in near real-time more effectively than state-of-the-art solutions in the field. We implement our model in the Kaiju system and we validate it against a realistic deployment supported by a software company.
A hidden markov laplacian method for GNSS multipath detection (2015)

In urban environments GNSS code multipath errors can cause large positioning errors. Many existing approaches try to overcome these errors employing Kalman innovations or statistical tests for code and carrier similarity. In this paper a new multipath model for time-differential code measurement errors is found from measurement data. The data indicates that the stochastic code error of multipath-affected time-differential pseudoranges follows a Laplacian distribution. A multipath detection algorithm is presented that exploits the new model. Our approach uses the likelihood functions of the white receiver noise and of the found Laplacian distribution to drive a hidden Markov model. It supposes two states - multipath-free and multipath-affected environment. In a simulation, realistic transition parameters of the Markov model were assumed and the detection rate of the proposed statistical test was determined. Compared to existing detection algorithms the false negative rate was reduced dramatically at a similar false positive rate. Due to the missing reference data for real-world measurements the performance has to be evaluated indirectly. A test drive was carried out and the horizontal positioning error was compared to a reference in a post-processing step. The error of epochs with at least one detection was significantly larger than the one when no measurements are detected as multipath-affected.
Triggering role of acid sphingomyelinase in endothelial lysosome-membrane fusion and dysfunction in coronary arteries (2010)

The present study determined whether activation of acid sphingomyelinase (ASM) drives membrane proximal lysosomes to fuse to the cell surface, facilitating membrane lipid rafts (LRs) clustering in coronary arterial endothelial cells (CAECs) and leading to endothelial dysfunction. By confocal microscopy, the activators of ASM, phosphatidylinositol (PI), and bis (monoacylglyceryl) phosphate (Bis), and an inducer of ASM, butyrate, were found to increase LRs clustering in bovine CAECs, which was blocked by lysosome fusion inhibitor vacuolin-1. However, arsenic trioxide (Ars), an inducer of de novo synthesis of ceramide, had no such effect. Similarly, vacuolin-1-blockable effects were observed using fluorescence resonance energy transfer detection. Liquid chromatography-electrospray ionization-tandem mass spectrometry analysis demonstrated that all of these treatments, even Ars, increased ceramide production in CAECs. When ASM gene was silenced, all treatments except Ars no longer increased ceramide levels. Furthermore, dynamic fluorescence monitoring in live cells showed that PI and Bis stimulated lysosome-membrane fusion in CAECs. Functionally, PI and Bis impaired endothelium-dependent vasodilation in perfused coronary arteries, which was blocked by vacuolin-1 and a lysosome function inhibitor, bafilomycine. FasL (Fas ligand), a previously confirmed lysosome fusion stimulator as a comparison, also produced a similar effect. It is concluded that ASM activation serves as a triggering mechanism and driving force, leading to fusion of membrane proximal lysosomes into LR clusters on the cell membrane of CAECs, which represents a novel mechanism mediating endothelial dysfunction during death receptor activation or other pathological situation.
Parallelization of the three-dimensional transport equation for Boron Neutron Capture Therapy (2004)

We propose an asynchronous parallel algorithm for the linear Boltzmann transport equation in three dimensions, for Boron Neutron Capture Therapy (BNCT) radiation therapy planning, which can be implemented efficiently on shared memory parallel computers. The three-dimensional multigroup discrete ordinates transport equation is cast into a set of coupled two-dimensional equations, and discretization is accomplished on a grid of arbitrarily-shaped prismatic cells. This allows the 3D multigroup discrete ordinates transport equation to be solved using spatial parallel techniques originally developed in a recent work for the 2D discrete ordinates transport equation by using domain decomposition techniques on an unstructured triangular mesh. We use the single program multiple data approach to formulate a shared memory parallel numerical implementation with OpenMP. Our results demonstrate that the parallel version of the 3D deterministic algorithm yields good parallel efficiency.
Migratory behavior of human CD14dimCD16+ monocytes on human macro- and micro-vascular endothelia: an in vitro approach (P5144) (2013)

Abstract In the mouse, much work has been done to characterize the function of Ly6c- "patrolling" monocytes by utilising intravital microscopy. However, this technique cannot be used outside of animal models, and therefore relatively little is known about the behaviour of their human counterpart, CD14dimCD16+ monocytes. To address this, we developed a re-circulating pump system to grow human endothelial cells under shear flow for 72h before adding human CD14dimCD16+ monocytes to the circulating media and performing live cell time-lapse imaging with a Nikon TiE fluorescence microscope. Using this approach we observed CD14dimCD16+ monocytes adhere and crawl on both macro-vascular HUVEC and micro-vascular HDMEC. The tracks of CD14dimCD16+ monocytes were twice as long when crawling on HDMEC compared with HUVEC under the same shear flow rate and 3 times fewer cells detached and re-entered the flow, indicating a preference for crawling on micro-vascular endothelium. HDMEC show higher levels of CD31, ICAM-1, E-selectin and VEGFR2, and lower levels of VCAM-1 and NRP-1 in a resting state, suggesting that the former represent ligands preferentially used for CD14dimCD16+ monocyte migration on micro-vascular cells, a role that will require further elucidation by studying migration under blocking conditions.
Morphing Aerospace Vehicles and Structures (2012)

Numerical Techniques Fundamentals of Tactical Missile Guidance Method of Adjoints and the Homing Loop Noise Analysis Covariance Analysis and the Homing Loop Proportional Navigation and Miss Distance Digital Fading Memory Noise Filters in the Homing Loop Advanced Guidance Laws Kalman Filters and The Homing Loop Tactical Zones Strategic Considerations Boosters Lambert Guidance Strategic Intercepts Miscellaneous Topics Ballistic Target Properties Extended Kalman Filtering and Ballistic Coefficient Estimation Multiple Targets Weaving Targets Representing Missile Airframe with Transfer Functions Introduction to Flight Control Design Three-Loop Autopilot Trajectory Shaping Guidance Filtering and Weaving Targets Alternative Approaches to Guidance Law Development Filter Bank Approach to Weaving Target Problem Engagement Simulations in Three Dimensions Advanced Adjoint Applications Miscellaneous Tactical Missile Guidance Topics Comparison of Differential Game Guidance with Optimal Guidance Kinematics of Intercepting a Ballistic Target Boost-Phase Filtering Options Kill Vehicle Guidance and Control Sizing for Boost-Phase Intercept Appendix: Additional Examples Index Supporting Materials
Single-Image HDR Reconstruction with Task-specific Network based on Channel Adaptive RDN (2021)

We describe our solution for the NTIRE–2021 High Dynamic Range Challenge with Single Frame Track where we achieved the 3 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">rd</sup> place in terms of muPSNR and the 1 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">st</sup> place in terms of PSNR. Aiming at this challenge we introduce the Task-specific Network based on Channel Adaptive RDN(TCRDN) that achieves good performance on the similarity with the ground truth. The network is divided into three subnets: Image Reconstruction(IR), Detail Restoration(DR) and Local Contrast Enhancement(LCE). Each subnet processes its own task, and results are fused to produce the HDR output. We carefully design these subnets so that they are properly trained for their intended purpose: detail restoration in the IR subnet and contrast enhancement in the LCE subnet. The Channel Adaptive RDN is a novel network working as the subnet backbone that combines the classic Residual Dense Network(RDN) and the Gate Channel Transformation layer. The L1 loss is used for training the network and the final model can balance the trade–off between PSNR and muPSNR for high performance in the competition’s task.
Microglia Activation as a Biomarker for Traumatic Brain Injury (2013)

Traumatic brain injury (TBI) has become the signature wound of wars in Afghanistan and Iraq. Injury may result from a mechanical force, a rapid acceleration-deceleration movement, or a blast wave. A cascade of secondary cell death events ensues after the initial injury. In particular, multiple inflammatory responses accompany TBI. A series of inflammatory cytokines and chemokines spreads to normal brain areas juxtaposed to the core impacted tissue. Among the repertoire of immune cells involved, microglia is a key player in propagating inflammation to tissues neighboring the core site of injury. Neuroprotective drug trials in TBI have failed, likely due to their sole focus on abrogating neuronal cell death and ignoring the microglia response despite these inflammatory cells' detrimental effects on the brain. Another relevant point to consider is the veracity of results of animal experiments due to deficiencies in experimental design, such as incomplete or inadequate method description, data misinterpretation, and reporting may introduce bias and give false-positive results. Thus, scientific publications should follow strict guidelines that include randomization, blinding, sample-size estimation, and accurate handling of all data (Landis et al., 2012). A prolonged state of inflammation after brain injury may linger for years and predispose patients to develop other neurological disorders, such as Alzheimer's disease. TBI patients display progressive and long-lasting impairments in their physical, cognitive, behavioral, and social performance. Here, we discuss inflammatory mechanisms that accompany TBI in an effort to increase our understanding of the dynamic pathological condition as the disease evolves over time and begin to translate these findings for defining new and existing inflammation-based biomarkers and treatments for TBI.
Low Complexity Blind Phase Recovery Algorithm with Increased Robustness Against Cycle-Slips (2017)

We present a non-data-aided recursive digital phase recovery algorithm for mQAM optical systems, which uses a priori information about the laser phase noise, and has very low computational complexity. Experimental validation shows extremely high robustness against cycle-slips.
Stereotactic Intracranial Implantation and &lt;em&gt;In vivo &lt;/em&gt;Bioluminescent Imaging of Tumor Xenografts in a Mouse Model System of Glioblastoma Multiforme (2012)

Glioblastoma multiforme (GBM) is a high-grade primary brain cancer with a median survival of only 14.6 months in humans despite standard tri-modality treatment consisting of surgical resection, post-operative radiation therapy and temozolomide chemotherapy 1. New therapeutic approaches are clearly needed to improve patient survival and quality of life. The development of more effective treatment strategies would be aided by animal models of GBM that recapitulate human disease yet allow serial imaging to monitor tumor growth and treatment response. In this paper, we describe our technique for the precise stereotactic implantation of bio-imageable GBM cancer cells into the brains of nude mice resulting in tumor xenografts that recapitulate key clinical features of GBM 2. This method yields tumors that are reproducible and are located in precise anatomic locations while allowing in vivo bioluminescent imaging to serially monitor intracranial xenograft growth and response to treatments 3-5. This method is also well-tolerated by the animals with low perioperative morbidity and mortality.
Memory for Emotional Words Following Unilateral Temporal Lobectomy (1997)

We recently reported that patients who had received unilateral temporal lobectomy, including the amygdala and hippocampus, show impaired acquisition in a fear conditioning task (LaBar, LeDoux, Spencer, & Phelps, 1995), indicating a deficit in emotional memory. In the present paper, we examined performance of these patients on two verbal, emotional memory tasks in an effort to determine the extent of this deficit. In Experiment 1, subjects were asked to recall emotional and non-emotional words. In Experiment 2, subjects were asked to recall neutral words which were embedded in emotional and non-emotional sentence contexts. Both temporal lobectomy subjects and normal controls showed enhanced recall for emotional words (Experiment 1) and enhanced recall for neutral words embedded in emotional sentence contexts (Experiment 2). These results suggest that the deficit seen in emotional memory following unilateral temporal lobectomy is not a global deficit and may be limited to specific circumstances where emotion influences memory performance. Several hypotheses concerning the discrepancy between the present studies and the fear conditioning results (LaBar et al., 1995) are discussed.
[Extracting method of tidal creek features under heterogeneous background at Yellow River Delta using remotely sensed imagery.] (2019)

The Yellow River Delta exhibits irregular tidal flat, with tidal creeks that vary in width and experience tidal creek current anisotropy. Given such characteristics, the GF-2 multi-spectral image was selected as the data source to characterize the details of tidal creeks. First, the normali-zed difference water index (NDWI) and OTSU classification were used to delineate the wide tidal creeks. Second, the modified fuzzy C-means clustering algorithm (MFCM) and multi-scale Gaussian matching filter (MGMF) were used to enhance the narrow tidal creeks on the basis of weakening the heterogeneity of tidal flat background. Then, the adaptive threshold segmentation was conducted to delineate the narrow tidal creeks. Finally, the complete tidal creek networks were delineated by combining the wide and narrow tidal creeks. We fully used the spatial resolution and spectral information of the GF-2 image and took into account the geometric features of the linear features, ensuring the spatial continuity of the tidal creek extraction results. In the four tested areas, the Kappa coefficient was greater than 0.8 and the overall accuracy was greater than 97%, which performed better than the maximum likelihood method and support vector machine. The results showed that the proposed method could completely differentiate different types of tidal creeks, with good extraction accuracy and stability. The method could provide scientific reference for real-time dynamic monitoring of tidal creek and its development and evolution.