gebhart/patrepeval huggingface dataset:
UAV PERFORMING AUTONOMOUS LANDING ON USV UTILIZING THE ROBOT OPERATING SYSTEM (2013)

This paper outlines the design and implementation of the launching and landing of an unmanned aerial vehicle (UAV) onto an unmanned surface vehicle (USV). The US Navy and Northrop Grumman’s X-47B drone have just recently achieved the first autonomous landing of an aircraft onto an aircraft carrier, but it came at the price tag of over one billion U.S. dollars. The authors of this paper will create a scaled-down model of this system that will cost in the order of thousands of dollars. The aerial vehicle utilized in this study is a quadrotor helicopter, which greatly simplifies the launching and landing process. The surface vehicle used is an autonomous boat that features a catamaran-style hull. Both vehicles will use the Robotic Operation System (ROS) as a framework for their software. A successful mission for this system would be one in which the quadrotor launches from the launch pad of the boat, navigates to a series of GPS waypoints, lands at a predetermined location to pick up an object, navigates back to the boat, and then lands successfully to the USV.
Image Enhancement Algorithm Implemented on Reconfigurable Hardware (2014)

Present day applications require various kinds of images and pictures as sources of information for interpretation and analysis. Whenever an image is converted from one form to another, such as digitizing, scanning, transmitting, storing, etc., some form of degradation occurs at the output. Hence, the output image has to undergo a process called image enhancement which consists of a collection of techniques that seek to improve the visual appearance of an image. This work addresses the implementation of image enhancement algorithms like global contrast adjustment, local contrast adjustment and global histogram equalization on FPGA (using soft core processor) that have become a competitive alternative for high-performance image processing applications.
Chaperone‐rich cell lysate embedded with BCR‐ABL peptide demonstrates enhanced anti‐tumor activity against a murine BCR‐ABL positive leukemia (2007)

Chaperone proteins are effective antitumor vaccines when purified from a tumor source, some of which are in clinical trials. Such vaccines culminate in tumor-specific T cell responses, implicating the role of adaptive immunity. We have developed a rapid and efficient procedure utilizing an isoelectric focusing technique to obtain vaccines from tumor or normal tissues called chaperone-rich cell lysate (CRCL). Tumor-associated peptides, the currency of T cell-mediated anticancer immunity, are believed to be purveyed by chaperone vaccines. Our purpose was to demonstrate our ability to manipulate the peptide antigen repertoire of CRCL vaccines as a novel anticancer strategy. Our methods allow us to prepare "designer" CRCL, utilizing the immunostimulation activity and the carrying capacity of CRCL to quantitatively acquire and deliver exogenous antigenic peptides (e.g., derived from the oncogenic BCR/ABL protein in chronic myelogenous leukemia). Using fluorescence-based and antigen-presentation assays, we determined that significant quantities of exogenously added peptide could accumulate in "designer" CRCL and could stimulate T cell activation. Further, we concluded that peptide-embedded CRCL, devoid of other antigens, could generate potent immunity against pre-established murine leukemia. Designer CRCL allows for the development of personalized vaccines against cancers expressing known antigens, by embedding antigens into CRCL derived from normal tissue.
Fast Voltage-Programmed Pixel Architecture for AMOLED Displays (2010)

We present a fast voltage programming scheme for active-matrix organic light-emitting diode (AMOLED) displays using amorphous silicon (a-Si) thin-film transistor (TFT) backplane technology. The proposed scheme uses on-pixel measurement of the threshold voltage ( <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">V</i> <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</sub> ) of the drive TFT. In contrast to the conventional voltage driving, <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">V</i> <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</sub> is not measured by discharging a capacitor through a diode-connected TFT. Thus, the accuracy-speed tradeoff does not limit the performance of the new driving scheme. A 4-TFT 2-capacitor pixel circuit is implemented based on the new driving scheme, and its performance is verified by circuit-level simulations using AIM-SPICE. Simulation results show that for a programming time of 33 ¿s , less than 2.5% change in the OLED current can be achieved for a 5-V shift in the threshold voltage of the drive TFT.
Mycobacterium tuberculosis NAD+-dependent DNA ligase is selectively inhibited by glycosylamines compared with human DNA ligase I (2005)

DNA ligases are important enzymes which catalyze the joining of nicks between adjacent bases of double-stranded DNA. NAD+-dependent DNA ligases (LigA) are essential in bacteria and are absent in humans. They have therefore been identified as novel, validated and attractive drug targets. Using virtual screening against an in-house database of compounds and our recently determined crystal structure of the NAD+ binding domain of the Mycobacterium tuberculosis LigA, we have identified N1, N(n)-bis-(5-deoxy-alpha-D-xylofuranosylated) diamines as a novel class of inhibitors for this enzyme. Assays involving M.tuberculosis LigA, T4 ligase and human DNA ligase I show that these compounds specifically inhibit LigA from M.tuberculosis. In vitro kinetic and inhibition assays demonstrate that the compounds compete with NAD+ for binding and inhibit enzyme activity with IC50 values in the microM range. Docking studies rationalize the observed specificities and show that among several glycofuranosylated diamines, bis xylofuranosylated diamines with aminoalkyl and 1, 3-phenylene carbamoyl spacers mimic the binding modes of NAD+ with the enzyme. Assays involving LigA-deficient bacterial strains show that in vivo inhibition of ligase by the compounds causes the observed antibacterial activities. They also demonstrate that the compounds exhibit in vivo specificity for LigA over ATP-dependent ligase. This class of inhibitors holds out the promise of rational development of new anti-tubercular agents.
A Supramolecular Approach to an Allosteric Catalyst (2003)

The design and synthesis of a novel, supramolecular allosteric catalyst system, assembled via the weak-link approach, is presented. The catalyst contains two structural Rh(I) centers in thioether- and phosphine-rich hemilabile pockets, and two functional Cr(III) centers bound within salen-based moieties. The catalytic properties of the supramolecular catalyst are compared to those of a Cr(III)-salen monomeric analogue in the context of the asymmetric ring opening of cyclohexene oxide by TMSN3. Allosteric control is afforded via reactions that occur at distal sites which open the macrocyclic cavity and facilitate the catalytic reaction. Kinetic data show a significant rate increase upon opening of the catalyst's flexible macrocyclic cavity and enhanced selectivity and reactivity with respect to the monomeric Cr(III)-salen analogue. The work presented represents a new approach to the construction of abiotic allosteric catalysts.
Comparing Logit and Probit Coefficients Across Groups (1999)

In logit and probit regression analysis, a common practice is to estimate separate models for two or more groups and then compare coefficients across groups. An equivalent method is to test for interactions between particular predictors and dummy (indicator) variables representing the groups. Both methods may lead to invalid conclusions if residual variation differs across groups. New tests are proposed that adjust for unequal residual variation.
Steaming and Operating Strategies at a Midlife CSS Operation (1993)

Abstract Imperial Oil Resources Limited began pilot experimentation with Cyclic Steam Stimulation (CSS) at Cold Lake in 1964 and followed this with commercial application in 1985. Since that time an extensive amount of experimental data and operating experience has been acquired which has resulted in the continual evolution of steaming and operating strategies for CSS. Optimization of the many process variables involved in CSS is complex due to their interdependency. The optimization of steaming and operating strategies has advanced significantly with commercial development and continues to evolve as the CSS process matures and the reservoir reaches more advanced stages of depletion. This evolution has focussed on steam strategies to manage interwell communication and increase areal conformance, and operating strategies to maximize the efficiency of producing mobilized bitumen which lies at ever increasing distances from the wellbore. The continued success of CSS in Cold Lake is dependent on the continued improvement of these steaming and operating strategies.
Introduction to Digital Image Processing with MATLAB (2004)

Is an introduction to digital image processing from an elementary perspective. The book covers topics that can be introduced with simple mathematics so students can learn the concepts without getting overwhelmed by mathematical detail.
Career Planning - a Psychodramatic Approach (1999)

The author asserts that the career counsellor's role is similar to that of a psychodrama director to the protagonist in that both focus on the person's passage through life. She describes an approach to career planning that utilizes the principles of psychodramatic theory. It is suggested that psychodrama in career planning offers the individual the opportunity to enact psychodramatic roles that are central to their personality. The author describes an approach to career planning based on the principles of psychodrama. She asserts that the career counsellor's role is similar to that of a psychodrama director, in that both focus on the person's passage through life. The structure of the career planning session is described together with philosophical and psychodramatic principles used in the planning process. It is suggested that psychodrama in career planning offers the individual the opportunity to enact psychodramatic roles that are central to his or her personality.
Serotonin Receptor Subtypes (1991)

The effects of 5-HT are varied and widely distributed throughout the human body. At this time, 5-HT research is a field ripe for "plucking." Not only is there a great demand for more selective agonists and antagonists, but there is more than enough work needed in receptor binding studies to keep pharmacologists employed for years to come. The clinical benefits of 5-HT receptor pharmacology are just starting to be developed and explored. Novel treatments for hypertension, migraine headaches, anxiety, and depression using 5-HT are just the beginning. It will be exciting to see what the future holds for 5-HT clinically.
Zeta Potentials of Human Enamel and Hydroxyapatite as Measured by the Coulter® DELSA 440 (1997)

The zeta potential of human enamel is of physiological importance for interactions between enamel surfaces and the surrounding aqueous medium of saliva. The zeta potentials of both enamel and hydroxyapatite (HA) have been examined previously by various techniques. In this study, we examined the zeta potential of human enamel and HA using the Coulter DELSA 440, which, by a laser, makes independent Doppler shift measurements of moving particles in an electric field at 4 different angles, providing advantages over previous techniques. The enamel and HA particles were suspended directly in different phosphate buffers, or first incubated for 2 hrs in parotid (PS) or whole saliva (HWS) and then suspended in the same buffers. The enamel and HA particles exhibited an overall net surface potential of -15 to -30 mV, depending on the buffer content. Incubation in PS and HWS gave less negative potentials of -8 to -14 mV. In our previous studies, the salivary micelle-like structures (SMSs), seen in TEM of parotid saliva, were observed to have a zeta potential of -9 mV (Rykke et al., 1996). The zeta potential determinations in this study support the concept of an adsorption of mostly SMSs to the enamel surfaces, with a change of the zeta potential of the enamel and HA toward that of the SMSs.
Crystal engineering of microporous ‘Chinese-lantern’ compounds to improve their ability to reversibly adsorb sulfur dioxide (2001)

Three new 'Chinese lantern' complexes [XMn(mu-dppO2)4MnX](2+)2X-.4MeOH.Me2CO [X = Cl, Br, I; dppO2 = 1,3-bis(diphenylphosphinoyl)propane], have been structurally characterised using single-crystal X-ray diffraction and shown to have increasing affinity for SO2 across the series Cl < Br < I via thermogravimetric measurements.
Tissue of origin dictates branched-chain amino acid metabolism in mutant<i>Kras</i>-driven cancers (2016)

Tumor genetics guides patient selection for many new therapies, and cell culture studies have demonstrated that specific mutations can promote metabolic phenotypes. However, whether tissue context defines cancer dependence on specific metabolic pathways is unknown. Kras activation and Trp53 deletion in the pancreas or the lung result in pancreatic ductal adenocarinoma (PDAC) or non-small cell lung carcinoma (NSCLC), respectively, but despite the same initiating events, these tumors use branched-chain amino acids (BCAAs) differently. NSCLC tumors incorporate free BCAAs into tissue protein and use BCAAs as a nitrogen source, whereas PDAC tumors have decreased BCAA uptake. These differences are reflected in expression levels of BCAA catabolic enzymes in both mice and humans. Loss of Bcat1 and Bcat2, the enzymes responsible for BCAA use, impairs NSCLC tumor formation, but these enzymes are not required for PDAC tumor formation, arguing that tissue of origin is an important determinant of how cancers satisfy their metabolic requirements.
PSCS: A Path-based Neural Model for Semantic Code Search (2020)

To obtain code snippets for reuse, programmers prefer to search for related documents, e.g., blogs or Q&A, instead of code itself. The major reason is due to the semantic diversity and mismatch between queries and code snippets. Deep learning models have been proposed to address this challenge. Compared with approaches using information retrieval techniques, deep learning models do not suffer from the information loss caused by refining user intention into keywords. However, the performance of previous works is not satisfactory because they ignore the importance of code structure. When the semantics of code (e.g., identifier names, APIs) are ambiguous, code structure may be the only feature for the model to utilize. In that case, previous works relearn the structural information from lexical tokens of code, which is extremely difficult for a model without any domain knowledge. In this work, we propose PSCS, a path-based neural model for semantic code search. Our model encodes both the semantics and structures of code represented by AST paths. We train and evaluate our model over 330k-19k query-function pairs, respectively. The evaluation results demonstrate that PSCS achieves a SuccessRate of 47.6% and a Mean Reciprocal Rank (MRR) of 30.4% when considering the top-10 results with a match. The proposed approach significantly outperforms both DeepCS, the first approach that applies deep learning to code search task, and CARLCS, a state-of-the-art approach that introduces a co-attentive representation learning model on the basis of DeepCS. The importance of code structure is demonstrated with an ablation study on code features, which enlightens model design for further studies.
Implementation of massively parallel genetic algorithms on the MasPar MP-1 (1992)

We describe a massively parallel implementation of genetic algorithms using a MasPar MP-1 data-parallel computer. Modification of the sequential genetic algorithm required that several important issues be addressed, in particular how to implement the selection operator with a minimum of inter-processor communication. A speed up of at least 145 times relative to a comparable sequential algorithm running on a Sun SparcStation was achieved. The performance of the MasPar is even more impressive when populations are too large to tit into the physical memory of the Spare.
Evaluating the Implications of Varying Bluetooth Low Energy (BLE) Transmission Power Levels on Wireless Indoor Localization Accuracy and Precision (2019)

Bluetooth Low Energy (BLE) based Wireless Indoor Localization System (WILS) with high localization accuracy and high localization precision is a key requirement in enabling the Internet of Things (IoT) in today's applications. In this paper, we investigated the effect of BLE signal variations on indoor localization caused by the change in BLE transmission power levels. This issue is not often discussed as most of the works on localization algorithms use the highest power levels but has important practical implications for energy efficiency, e.g., if a designer would like to trade-off localization performance and node lifetime. To analyze the impact, we used the established trilateration based localization model with two methods i.e., Centroid Approximation (CA) and Minimum Mean Square Error (MMSE). We observed that trilateration based localization with MMSE method outperforms the CA method. We further investigated the use of two filters i.e., Low Pass Filter (LPF) and Kalman Filter (KF) and evaluated their effects in terms of mitigating the random variations from BLE signal. In comparison to non-filter based approach, we observed a great improvement in localization accuracy and localization precision with a filter-based approach. Furthermore, in comparison to LPF based trilateration localization with CA, the performance of a KF based trilateration localization with MMSE is far better. An average of 1 m improvement in localization accuracy and approximately 50% improvement in localization precision is observed by using KF in trilateration based localization model with the MMSE method. In conclusion, with KF in trilateration based localization model with MMSE method effectively eliminates random variations in BLE RSS with multiple transmission power levels and thus results in a BLE based WILS with high accuracy and high precision.
DHA induces ER stress and growth arrest in human colon cancer cells: associations with cholesterol and calcium homeostasis (2008)

Polyunsaturated fatty acids (PUFAs) are normal constituents of the diet, but have properties different from other fatty acids (e.g., through generation of signaling molecules). N-3 PUFAs reduce cancer cell growth, but no unified mechanism has been identified. We show that docosahexaenoic acid (DHA; 22:6 n-3) causes extensive changes in gene expression patterns at mRNA level in the colon cancer cell line SW620. Early changes include unfolded protein response (UPR) and increased levels of phosphorylated eIF2alpha as verified at protein level. The latter is considered a hallmark of endoplasmic reticulum (ER) stress and is abundantly present already after 3 h. It may coordinate many of the downstream changes observed, including signaling pathways for cell cycle arrest/apoptosis, calcium homeostasis, cholesterol metabolism, ubiquitination, and proteasomal degradation. Also, eicosapentaenoic acid (EPA), but not oleic acid (OA), induced key mediators of ER stress and UPR at protein level. Accumulation of esterified cholesterol was not compensated for by increased total levels of cholesterol, and mRNAs for cholesterol biosynthesis as well as de novo synthesis of cholesterol were reduced. These results suggest that cytotoxic effects of DHA are associated with signaling pathways involving lipid metabolism and ER stress.
Regulation of CCL20 expression in astrocytes by IL‐6 and IL‐17 (2012)

Astrocytes have an important role in the regulation of inflammation within the central nervous system (CNS). In neuroinflammatory conditions such as multiple sclerosis, numerous cytokines and chemokines are elevated including IL-6, IL-17, and CCL20. IL-17 enhances IL-6 signaling and subsequent IL-6 expression in astrocytes. CCL20 is a CC motif chemokine that functions as a chemoattractant to facilitate the recruitment of CCR6-expressing cells, including Th17 cells. In this study, we examined the role of IL-6 and IL-17 on CCL20 production in primary murine astrocytes. IL-6 in combination with the IL-6 soluble receptor (sIL-6R) stimulated CCL20 expression in part through STAT3 activation, whereas IL-17 alone had no effect. However, the combination of IL-6, sIL-6R, and IL-17 led to a robust increase in CCL20 production. IL-17 increased the activation-associated phosphorylation of NF-κB, and inhibition of the NF-κB pathway significantly inhibited the enhancement of CCL20 expression by IL-17. In addition, chromatin immunoprecipitation revealed that stimulation of primary astrocytes with IL-6 plus the sIL-6R induced STAT3 binding to the CCL20 promoter. Combined stimulation with IL-6, sIL-6R, and IL-17 increased the recruitment of phosphorylated NF-κB to the CCL20 promoter, increased binding of coactivators such as p300 and CBP, and enhanced H3 and H4 histone acetylation, consistent with a transcriptionally active gene. The astrocyte-produced CCL20 increased T cell migration as determined by transwell migration assay. Collectively, these results suggest that astrocytes, in response to IL-6, sIL-6R, and IL-17, may shift chemokine production to that favoring T cell recruitment to the CNS.
An Essential Role of NRF2 in Diabetic Wound Healing (2015)

The high mortality and disability of diabetic nonhealing skin ulcers create an urgent need for the development of more efficacious strategies targeting diabetic wound healing. In the current study, using human clinical specimens, we show that perilesional skin tissues from patients with diabetes are under more severe oxidative stress and display higher activation of the nuclear factor-E2-related factor 2 (NRF2)-mediated antioxidant response than perilesional skin tissues from normoglycemic patients. In a streptozotocin-induced diabetes mouse model, Nrf2(-/-) mice have delayed wound closure rates compared with Nrf2(+/+) mice, which is, at least partially, due to greater oxidative DNA damage, low transforming growth factor-β1 (TGF-β1) and high matrix metalloproteinase 9 (MMP9) expression, and increased apoptosis. More importantly, pharmacological activation of the NRF2 pathway significantly improves diabetic wound healing. In vitro experiments in human immortalized keratinocyte cells confirm that NRF2 contributes to wound healing by alleviating oxidative stress, increasing proliferation and migration, decreasing apoptosis, and increasing the expression of TGF-β1 and lowering MMP9 under high-glucose conditions. This study indicates an essential role for NRF2 in diabetic wound healing and the therapeutic benefits of activating NRF2 in this disease, laying the foundation for future clinical trials using NRF2 activators in treating diabetic skin ulcers.