gebhart/patrepeval huggingface dataset:
A Voice and Pointing Gesture Interaction System for Supporting Human Spontaneous Decisions in Autonomous Cars (2017)

Autonomous cars are expected to improve road safety, traffic and mobility. It is projected that in the next 20-30 years fully autonomous vehicles will be on the market. The advancement on the research and development of this technology will allow the disengagement of humans from the driving task, which will be responsibility of the vehicle intelligence. In this scenario new vehicle interior designs are proposed, enabling more flexible human vehicle interactions inside them. In addition, as some important stakeholders propose, control elements such as the steering wheel and accelerator and brake pedals may not be needed any longer. However, this user control disengagement is one of the main issues related with the user acceptance of this technology. Users do not seem to be comfortable with the idea of giving all the decision power to the vehicle. In addition, there can be location awareness situations where the user makes a spontaneous decision and requires some type of vehicle control. Such is the case of stopping at a particular point of interest or taking a detour in the pre-calculated autonomous route of the car. Vehicle manufacturers' maintain the steering wheel as a control element, allowing the driver to take over the vehicle if needed or wanted. This causes a constraint in the previously mentioned human vehicle interaction flexibility. Thus, there is an unsolved dilemma between providing users enough control over the autonomous vehicle and route so they can make spontaneous decision, and interaction flexibility inside the car. This dissertation proposes the use of a voice and pointing gesture human vehicle interaction system to solve this dilemma. Voice and pointing gestures have been identified as natural interaction techniques to guide and command mobile robots, potentially providing the needed user control over the car. On the other hand, they can be executed anywhere inside the vehicle, enabling interaction flexibility. The objective of this dissertation is to provide a strategy to support this system. For this, a method based on pointing rays intersections for the computation of the point of interest (POI) that the user is pointing to is developed. Simulation results show that this POI computation method outperforms the traditional ray-casting based by 76.5% in cluttered environments and 36.25% in combined cluttered and non-cluttered scenarios. The whole system is developed and demonstrated using a robotics simulator framework. The simulations show how voice and pointing commands performed by the user update the predefined autonomous path, based on the recognized command semantics. In addition, a dialog feedback strategy is proposed to solve conflicting situations such as ambiguity in the POI identification. This additional step is able to solve all the previously mentioned POI computation inaccuracies. In addition, it allows the user to confirm, correct or reject the performed commands in case the system misunderstands them.
Structural analysis and activation by fungal infection of a gene encoding a pathogenesis-related protein in potato. (1991)

The structure, genomic organization, and temporal pattern of activation of a gene encoding a pathogenesis-related protein (PR1) in potato (Solanum tuberosum) have been analyzed. The gene is rapidly activated in leaves from the potato cultivar Datura, containing the resistance gene R1, in both compatible and incompatible interactions with appropriate races of the late-blight fungus Phytophthora infestans. Activation is also observed in leaves treated with fungal elicitor. The gene occurs in multiple, very similar copies and encodes a polypeptide (Mr = 25,054; pI = 5.5) that is classified as a PR protein by several criteria. Small fragments with great sequence similarity to portions of the two exons were found closely linked to the expressed gene, which altogether represents a simple case of genome organization in potato. The coding sequence of the prp1 gene and the deduced amino acid sequence are strikingly similar to the corresponding sequences of a 26-kDa heat shock protein from soybean.
ACYL DERIVATIVES OF ORTHO-AMINOPHENOL. VI (1931)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTACYL DERIVATIVES OF ORTHO-AMINOPHENOL. VIC. B. Pollard and R. E. NelsonCite this: J. Am. Chem. Soc. 1931, 53, 3, 996–1001Publication Date (Print):March 1, 1931Publication History Published online1 May 2002Published inissue 1 March 1931https://pubs.acs.org/doi/10.1021/ja01354a023https://doi.org/10.1021/ja01354a023research-articleACS PublicationsRequest reuse permissionsArticle Views50Altmetric-Citations5LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose Get e-Alerts
Integration Testing of Components Guided by Incremental State Machine Learning (2006)

The design of complex systems, e.g., telecom services, is nowadays usually based on the integration of components (COTS), loosely coupled in distributed architectures. When components come from third party sources, their internal structure is usually unknown and the documentation is insufficient. Therefore, the system integrator faces the problem of providing a required system assembling COTS whose behaviour is barely specified and for which no model is usually available. In this paper, we address the problem of integration testing of COTS. It combines test generation techniques with machine learning algorithms. State-based models of components are built from observed behaviours. The models are alternatively used to generate tests and extended to take into account observed behaviour. This process is iterated until a satisfactory level of confidence in testing is achieved
Expression patterns of developmental control genes in normal and Engrailed-1 mutant mouse spinal cord reveal early diversity in developing interneurons. (1997)

The vertebrate spinal cord has long served as a useful system for studying the pattern of cell differentiation along the dorsoventral (d/v) axis. In this paper, we have defined the expression of several classes of genes expressed in restricted d/v domains in the intermediate region (IR) of the mouse spinal cord, in which most interneurons are generated. From this analysis, we have found that spinal cord interneurons and their precursors express unique combinations of transcription factors and Notch ligands at the onset of their differentiation. The domains of expression of a number of different classes of genes share similar boundaries, indicating that there could be a basic subdivision of the ventral IR into four distinct regions. This differential gene expression suggests that spinal cord interneurons acquire unique identities early in their development and that Notch signaling mechanisms may participate in the determination of cell fate along the d/v axis. Gene expression studies in Engrailed-1 (En-1) mutants showed that En-1-expressing and other closely positioned classes of neurons do not require the homeodomain protein En-1 for their early pattern of differentiation. Rather, it is suggested that En-1 may function to distinguish a subset of interneurons during the later maturation of the spinal cord.
Dehydroascorbate transport in human chondrocytes is regulated by hypoxia and is a physiologically relevant source of ascorbic acid in the joint (2005)

We provide the first evidence that chondrocytes transport DHA via the GLUTs and that this transport mechanism is modestly selective for L-DHA. In the setting of up-regulated DHA transport at low oxygen tensions, DHA would contribute 26% of the total intracellular Asc in OA chondrocytes and 94% of that in RA chondrocytes. These results demonstrate that DHA is a physiologically relevant source of Asc for chondrocytes, particularly in the setting of an inflammatory arthritis, such as RA.
Muller C-element based Decoder (MCD): A decoder against transient faults (2013)

This work extends the analysis and application of a digital error correction method called Muller C-element Decoding (MCD), which has been proposed for fault masking in logic circuits comprised of unreliable elements. The proposed technique employs cascaded Muller C-elements and XOR gates to achieve efficient error-correction in the presence of internal upsets. The error-correction analysis of MCD architecture and the investigation of C-element's robustness are first introduced. We demonstrate that the MCD is able to produce error-correction benefit in a high error-rate of internal faults. Significantly, for a (3,6) short-length Low Density Parity Check (LDPC) code, when the decoding process is internally error-free the MCD achieves also a gain in terms of decoding performance by comparison to the well-known Gallager Bit-Flipping method. We further consider application of MCD to a general-purpose fault-tolerant model, coded Dual Modular Redundancy (cDMR), which offers low-redundancy error-resilience for contemporary logic systems as well as future nanoeletronic architectures.
Measurement of Soft Tissue Elasticity in Vivo: Techniques and Applications (2015)

Measurement of soft tissue elasticity in vivo: techniques and applications , Measurement of soft tissue elasticity in vivo: techniques and applications , کتابخانه‌های دانشگاه کردستان
Theory, design and operation of surface generated acoustic wave sensors (2002)

Surface generated acoustic waves (SGAW) excited in a piezoelectric medium provide an attractive technology to realize a family of microsensors which are sensitive, portable, cheap and small. In this paper two SGAW microsensors namely, the surface acoustic wave gas sensor and the acoustic plate mode biosensor are described. Results indicate that these sensors are extremely sensitive to the measurand of interest.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
A Solution for Large-Scale Multi-Object Tracking (2020)

A large-scale multi-object tracker based on the generalised labeled multi-Bernoulli (GLMB) filter is proposed. The algorithm is capable of tracking a very large, unknown and time-varying number of objects simultaneously, in the presence of a high number of false alarms, as well as missed detections and measurement origin uncertainty due to closely spaced objects. The algorithm is demonstrated on a simulated tracking scenario, where the peak number objects appearing simultaneously exceeds one million. Additionally, we introduce a new method of applying the optimal sub-pattern assignment (OSPA) metric to determine a meaningful distance between two sets of tracks. We also develop an efficient strategy for its exact computation in large-scale scenarios to evaluate the performance of the proposed tracker.
Cytokinesis in Bacteria (2003)

Work on two diverse rod-shaped bacteria, Escherichia coli and Bacillus subtilis, has defined a set of about 10 conserved proteins that are important for cell division in a wide range of eubacteria. These proteins are directed to the division site by the combination of two negative regulatory systems. Nucleoid occlusion is a poorly understood mechanism whereby the nucleoid prevents division in the cylindrical part of the cell, until chromosome segregation has occurred near midcell. The Min proteins prevent division in the nucleoid-free spaces near the cell poles in a manner that is beginning to be understood in cytological and biochemical terms. The hierarchy whereby the essential division proteins assemble at the midcell division site has been worked out for both E. coli and B. subtilis. They can be divided into essentially three classes depending on their position in the hierarchy and, to a certain extent, their subcellular localization. FtsZ is a cytosolic tubulin-like protein that polymerizes into an oligomeric structure that forms the initial ring at midcell. FtsA is another cytosolic protein that is related to actin, but its precise function is unclear. The cytoplasmic proteins are linked to the membrane by putative membrane anchor proteins, such as ZipA of E. coli and possibly EzrA of B. subtilis, which have a single membrane span but a cytoplasmic C-terminal domain. The remaining proteins are either integral membrane proteins or transmembrane proteins with their major domains outside the cell. The functions of most of these proteins are unclear with the exception of at least one penicillin-binding protein, which catalyzes a key step in cell wall synthesis in the division septum.
[Research Paper] Automatic Detection of Sources and Sinks in Arbitrary Java Libraries (2018)

In the last decade, data security has become a primary concern for an increasing amount of companies around the world. Protecting the customer's privacy is now at the core of many businesses operating in any kind of market. Thus, the demand for new technologies to safeguard user data and prevent data breaches has increased accordingly. In this work, we investigate a machine learning-based approach to automatically extract sources and sinks from arbitrary Java libraries. Our method exploits several different features based on semantic, syntactic, intra-procedural dataflow and class-hierarchy traits embedded into the bytecode to distinguish sources and sinks. The performed experiments show that, under certain conditions and after some preprocessing, sources and sinks across different libraries share common characteristics that allow a machine learning model to distinguish them from the other library methods. The prototype model achieved remarkable results of 86% accuracy and 81% F-measure on our validation set of roughly 600 methods.
KrF resists for implant layers patterning extreme high-aspect ratio structures with a double focal plane exposure technique (2012)

The design rules for advanced image sensor applications are requiring continuous CD shrinkage, and increasing aspect ratios which resulting in major challenges associated with using KrF technology. For the implant photo layers in particular, the need to block high-energy boron implants (well above 2 MeV) with extremely localized implant profiles requires an aspect ratio of deep well structures greater than 10:1. Other desirable attributes of a good photoresist for such demanding applications are high transparency, a steep wall profile consistent throughout the entire film, good adhesion with no structure collapse, and a wide process window. In this paper, we will discuss the role of a chemically amplified, ESCAP-type of resist in meeting these design criteria using a double focal plane exposure technique.
The rabbit progesterone receptor. Evidence for a single steroid-binding subunit and characterization of receptor mRNA. (1984)

Monoclonal antibodies were used to study the structure and the biosynthesis of the rabbit progesterone receptor. Proteins in nonfractionated uterine cytosol were submitted to gel electrophoresis in denaturing conditions, transferred onto nitrocellulose, and reacted with monoclonal antireceptor antibodies and 125I-protein A. A single 110,000-dalton protein was observed when precautions were taken during homogenization of the uteri and protease inhibitors used. Smaller forms of receptor (essentially of 79,000 daltons but also of 72,000 and in some experiments of 64,000 daltons) were present when these precautions were not observed and thus probably arose from artifactual proteolysis of receptor. When poly(A)+ RNA from rabbit uterus was translated in a reticulocyte lysate and the radioactive proteins precipitated by the antireceptor monoclonal antibodies, a radioactive protein of 110,000 daltons was also observed. Further evidence that this protein was the product of the translation of progesterone receptor mRNA was obtained by precipitation and immunoaffinity purification with several antireceptor monoclonal and polyclonal antibodies, inhibition of immunoprecipitation by purified receptor and its absence in a receptor-poor tissue (liver). Estrogen treatment is known to increase the concentration of progesterone receptor. RNA translation experiments showed that this effect is due to an increase in the concentration of receptor mRNA. The size of this messenger RNA was studied by sucrose gradient ultracentrifugation, followed by mRNA translation, and specific immunoprecipitation: progesterone receptor mRNA was found by this method to sediment at 20 S.
Variations in the light absorption coefficients of phytoplankton, nonalgal particles, and dissolved organic matter in coastal waters around Europe (2003)

We measured the absorption properties of phytoplankton, nonalgal particles (NAP), and colored dissolved organic matter (CDOM) at about 350 stations in various coastal waters around Europe including the English Channel, Adriatic Sea, Baltic Sea, Mediterranean Sea, and North Sea. For comparison, we also collected data in the open ocean waters of North Atlantic. The exponential slope of the CDOM absorption spectrum varied within a narrow range around 0.0176 nm −1 (SD = 0.0020 nm −1 ). When data from all the regions were considered altogether, the relationship between phytoplankton absorption and chlorophyll concentration was generally similar to the one previously established for open oceanic waters. Our coastal data, however, show that significant departures from the general trend may occur due to peculiar pigment composition and cell size. In some coastal areas, high phaeopigment concentrations gave rise to especially high blue‐to‐red ratio of phytoplankton absorption. The NAP absorption covaried with the particle dry weight. Most absorption spectra of these particles were well described by an exponential function with a slope averaging 0.0123 nm −1 (SD = 0.0013 nm −1 ). In some highly turbid waters, the spectra exhibited a signature possibly associated with iron oxides. In the Baltic Sea, NAP absorption systematically showed lower values at wavelengths shorter than 440 nm than predicted from the fitted exponential function. Overall, the variability in the absorption properties of European coastal waters showed some consistent patterns despite the high diversity of the examined waters. Distinct features were identified in the phytoplankton and NAP components. An absorption budget is presented and parameterizations are proposed.
Acoustic Trauma: Tinnitus and Vertigo (1984)

Three hundred ten randomly selected male shipyard workers, with an average age of 56 years, with an average of 19 years with their employer, excluding workers with evidence of other otologic or relevant neurologic disease, were analyzed in terms of hearing loss, tinnitus, vertigo, and family history of hearing loss. The audiograms showed bilateral, symmetrical mid to high frequency hearing loss with SRT of 21 db and 85 per cent PB word discrimination. Eleven per cent had a family history of hearing loss, but this did not correlate with the patients' hearing loss, tinnitus, or vertigo. Fifteen per cent of the patients gave a history of vertigo. Tinnitus occurred in 43 per cent of right ears and in 41 per cent of left ears. Statistical analysis showed that the tinnitus did not correlate with hearing loss at any frequency in the right ear but correlated significantly with hearing loss at 2000 and 3000 HZ in the left ear! These were significant but small. Multiple correlational analysis indicated.
Quantitating tissue specificity of human genes to facilitate biomarker discovery (2007)

We describe a method to identify candidate cancer biomarkers by analyzing numeric approximations of tissue specificity of human genes. These approximations were calculated by analyzing predicted tissue expression distributions of genes derived from mapping expressed sequence tags (ESTs) to the human genome sequence using a binary indexing algorithm. Tissue-specificity values facilitated high-throughput analysis of the human genes and enabled the identification of genes highly specific to different tissues. Tissue expression distributions for several genes were compared to estimates obtained from other public gene expression datasets and experimentally validated using quantitative RT-PCR on RNA isolated from several human tissues. Our results demonstrate that most human genes ( approximately 98%) are expressed in many tissues (low specificity), and only a small number of genes possess very specific tissue expression profiles. These genes comprise a rich dataset from which novel therapeutic targets and novel diagnostic serum biomarkers may be selected.
Mobile Based Attendance System: Face Recognition and Location Detection using Machine Learning (2021)

Nowadays, student attendance has a significant impact on the class process as well as it affects student marks based on the authenticity of marking the attendance which expects high accuracy with more flexibility for both lecturers and students. Currently, most universities have some methods of marking student attendance, which consider either inefficient in terms of accuracy and security or bring up other issues such as time-consuming. In addition, another way of attendance requires an administrator to monitor the input of student data, which is difficult when dealing with a large number of students. This project proposes a mobile application to allow lecturers to generate class attendance and students to submit the attendance by scanning their faces using their mobile phone camera along with their location. The proposed system addressed three main components: First, automatic face detection and analysis using mobile phone cameras. Second, face recognition API that uses machine learning algorithm. Third, maps API. A testing process has been conducted through over 30 students to test the efficiency of the system in recognizing student faces as well as location. The result shows face recognition has achieved a high accuracy of detecting students’ faces even in a bad environment condition. It revealed that over 85% of the student are satisfied with the face recognition process. The system showed effective example responses by marking the student's attendance after recognizing the student's face and location, and the lecturer was able to download a report of submitted attendance.