gebhart/patrepeval huggingface dataset:
Privacy through pseudonymity in user-adaptive systems (2003)

User-adaptive applications cater to the needs of each individual computer user, taking for example users' interests, level of expertise, preferences, perceptual and motoric abilities, and the usage environment into account. Central user modeling servers collect and process the information about users that different user-adaptive systems require to personalize their user interaction.Adaptive systems are generally better able to cater to users the more data their user modeling systems collect and process about them. They therefore gather as much data as possible and "lay them in stock" for possible future usage. Moreover, data collection usually takes place without users' initiative and sometimes even without their awareness, in order not to cause distraction. Both is in conflict with users' privacy concerns that became manifest in numerous recent consumer polls, and with data protection laws and guidelines that call for parsimony, purpose-orientation, and user notification or user consent when personal data are collected and processed.This article discusses security requirements to guarantee privacy in user-adaptive systems and explores ways to keep users anonymous while fully preserving personalized interaction with them. User anonymization in personalized systems goes beyond current models in that not only users must remain anonymous, but also the user modeling system that maintains their personal data. Moreover, users' trust in anonymity can be expected to lead to more extensive and frank interaction, hence to more and better data about the user, and thus to better personalization. A reference model for pseudonymous and secure user modeling is presented that meets many of the proposed requirements.
AUTOREGRESSIVE PATTERN RECOGNITION APPLIED TO THE DELIMITATION OF OIL AND GAS RESERVOIRS* (1980)

A bstract It is often difficult to precisely determine the boundaries of oil and gas reservoirs in the horizontal and vertical directions. Autoregressive pattern recognition is used to reveal lateral facies variations and to specify reservoir boundaries. The method is based on the calculation of autoregressive coefficients for short trace sectors between the top and bottom boundaries of the reservoir. These coefficients are determined by applying the maximum entropy principle. Once these coefficients are known, an estimate can be made of the power spectra of these trace sectors. Then these coefficients will act as characters for a pattern recognition algorithm. A decision criterion is used to distinguish the trace sector corresponding to layers impregnated with oil or gas and those impregnated with water. Two examples are given to show how autoregressive pattern recognition allows to accurately delimit gas or oil reservoirs.
Crystal Structure of the Yersinia Protein-tyrosine Phosphatase YopH Complexed with a Specific Small Molecule Inhibitor (2003)

The pathogenic bacteria Yersinia are causative agents in human diseases ranging from gastrointestinal syndromes to bubonic plague. There is increasing risk of misuse of infectious agents, such as Yersinia pestis, as weapons of terror as well as instruments of warfare for mass destruction. Because the phosphatase activity of the Yersinia protein tyrosine phosphatase, YopH, is essential for virulence in the Yersinia pathogen, potent and selective YopH inhibitors are expected to serve as novel anti-plague agents. We have identified a specific YopH small molecule inhibitor, p-nitrocatechol sulfate (pNCS), which exhibits a Ki value of 25 microM for YopH and displays a 13-60-fold selectivity in favor of YopH against a panel of mammalian PTPs. To facilitate the understanding of the underlying molecular basis for tight binding and specificity, we have determined the crystal structure of YopH in complex with pNCS at a 2.0-A resolution. The structural data are corroborated by results from kinetic analyses of the interactions of YopH and its site-directed mutants with pNCS. The results show that while the interactions of the sulfuryl moiety and the phenyl ring with the YopH active site contribute to pNCS binding affinity, additional interactions of the hydroxyl and nitro groups in pNCS with Asp-356, Gln-357, Arg-404, and Gln-446 are responsible for the increased potency and selectivity. In particular, we note that residues Arg-404, Glu-290, Asp-356, and a bound water (WAT185) participate in a unique H-bonding network with the hydroxyl group ortho to the sulfuryl moiety, which may be exploited to design more potent and specific YopH inhibitors.
Functional characterization of Kunitz domains in hepatocyte growth factor activator inhibitor type 2 (1998)

Hepatocyte growth factor activator inhibitor type 2 (HAI-2) was identified as a potent inhibitor of hepatocyte growth factor activator (HGF activator). The primary translation product of HAI-2 contains two Kunitz domains. To characterize their function, we introduced a point mutation into the reactive site of each Kunitz domain, and assayed the mutants for their HGF activator inhibitory activity. A point mutation in the COOH-terminal Kunitz domain did not affect the activity of HAI-2, whereas a point mutation in the NH2-terminal Kunitz domain markedly reduced the activity. These results suggest that the NH2-terminal Kunitz domain is mainly responsible for the HGF activator inhibitory activity of HAI-2.
Design and implementation of bandpass delta-sigma modulators using half-delay integrators (1998)

Two bandpass delta-sigma A/D converters using half delay, integrators have been designed and implemented in a 2-/spl mu/m n-well double-poly double-metal CMOS process. The first design, a fourth-order architecture with an input modulation network, achieves a signal-to-noise ratio (SNR) of 73 dB over a 0.005/spl pi/ input bandwidth, while the second design, a sixth-order topology, yielded a measured SNR of 80 dB over a 0.004/spl pi/ input bandwidth.
Heart rate variability and heart rate turbulence in patients with chronic obstructive pulmonary disease. (2009)

In addition to HRV parameters, HRT onset was significantly different in COPD patients. In our opinion, the combination of HRV variables and HRT onset may be simple and elegant ways of evaluating cardiac autonomic functions. New investigations of HRT and HRV in COPD patients have a potential importance for improving risk stratification and therapeutic approaches, and understanding the autonomic outcomes of the disease process.
Mechanism of Disinhibition After Brain Lesions (1997)

Disinhibition syndromes, ranging from mildly inappropriate social behavior to full blown mania, may result from lesions to specific brain areas. Several studies in patients with closed head injuries, brain tumors, stroke lesions, and focal epilepsy have demonstrated a significant association between disinhibition syndromes and dysfunction of orbitofrontal and basotemporal cortices of the right hemisphere. Based on the phylogenetic origin of these cortical areas and their main connections with dorsal regions related to visuospatial functions, somatosensation, and spatial memory, the orbitofrontal and basotemporal cortices may selectively inhibit or release motor, instinctive, affective, and intellectual behaviors elaborated in the dorsal cortex. Thus, dysfunction of these heteromodal ventral brain areas may result in disinhibited behaviors.
Malonaldehyde, Succinaldehyde, and Glutaraldehyde Monoacetals: Syntheses and Applications (1985)

Methods for synthesizing 1,3-,1,4-, and 1,5-dialdehyde monoacetals or monothioacetals published from 1930 up to 1983 are reviewed. Open-chain and cyclic acetals or thioacetals are considered. A short survey of the most important applications of these compounds is also included. 1. Introduction 2. Synthesis of Malonaldehyde Monoacetals 3. Synthesis of Succinaldehyde Monoacetals 4. Synthesis of Glutaraldehyde Monoacetals 5. Selected Applications of Dialdhyde Monoacetals or Monothioacetals 6. Addendum
Serum dioxin concentrations and endometriosis: a cohort study in Seveso, Italy. (2002)

Dioxin, a ubiquitous contaminant of industrial combustion processes including medical waste incineration, has been implicated in the etiology of endometriosis in animals. We sought to determine whether dioxin exposure is associated with endometriosis in humans. We conducted a population-based historical cohort study 20 years after the 1976 factory explosion in Seveso, Italy, which resulted in the highest known population exposure to 2,3,7,8-tetrachlorodibenzo-(italic)p(/italic)-dioxin (TCDD). Participants were 601 female residents of the Seveso area who were (3/4) 30 years old in 1976 and had adequate stored sera. Endometriosis disease status was defined by pelvic surgery, current transvaginal ultrasound, pelvic examination, and interview (for history of infertility and pelvic pain). "Cases" were women who had surgically confirmed disease or an ultrasound consistent with endometriosis. "Nondiseased" women had surgery with no evidence of endometriosis or no signs or symptoms. Other women had uncertain status. To assess TCDD exposure, individual levels of TCDD were measured in stored sera collected soon after the accident. We identified 19 women with endometriosis and 277 nondiseased women. The relative risk ratios (RRRs) for women with serum TCDD levels of 20.1-100 ppt and >100 ppt were 1.2 [90% confidence interval (CI) = 0.3-4.5] and 2.1 (90% CI = 0.5-8.0), respectively, relative to women with TCDD levels (3/4) 20 ppt. Tests for trend using the above exposure categories and continuous log TCDD were nonsignificant. In conclusion, we report a doubled, nonsignificant risk for endometriosis among women with serum TCDD levels of 100 ppt or higher, but no clear dose response. Unavoidable disease misclassification in a population-based study may have led to an underestimate of the true risk of endometriosis.
Efficient evaluation of multiple queries on streaming XML data (2002)

Traditionally, XML documents are processed at where they are stored. This allows the query processor to exploit pre-computed data structures (e.g., index) to retrieve the desired data efficiently. However, this mode of processing is not suitable for many applications where the documents are frequently updated. In such situations, efficient evaluation of multiple queries over streaming XML documents becomes important. This paper introduces a new operator, mqX-scan, which efficiently evaluates multiple queries with a single pass on streaming XML data. To facilitate matching, mqX-scan utilizes templates containing paths that have been traversed to match regular path expression patterns in a pool of queries. Results of the experiments demonstrate the efficiency and scalability of the mqX-scan operator.
Beginning iPhone Games Development (2010)

iPhone games are hot! Just look at the numbers. Games make up over 25 percent of total apps and over 70 percent of the most popular apps. Surprised? Of course not! Most of us have filled our iPhone or iPod touch with games, and many of us hope to develop the next best-selling, most talked-about game. Youve probably already read and mastered Beginning iPhone 3 Development; Exploring the iPhone SDK, the best-selling, the second edition of Apresss highly acclaimed introduction to the iPhone and iPod touch by developers Dave Mark and Jeff LaMarche. This book is the game-specific equivalent, providing you with the same easy-to-follow, step-by-step approach, more deep technical insights, and that familiar friendly style. While games are all about fun, at the same time, theyre serious business. With this book, youre going to roll up your sleeves and get your hands dirty with some hardcore coding. While you may have written games before, this book will take you further, immersing you in the following topics: Game graphics and animation with UIKit, Quartz, Core Animation, and OpenGL ES Game audio with OpenAL, MediaPlayer Framework, AV Foundation, and AudioSession Game networking with GameKit, Bonjour, and Internet sharing Youll learn: Efficient methods for drawing in 2D and 3D to the iPhone screen Game-specific animation techniques with Core Animation To use OpenGL ES for more complex and realistic gaming backgrounds and action Numerous ways to add music to enhance the gaming experience How to give your users access to their iPhone libraries from within games The tools and techniques of 3D audio for creating even more realistic gaming experiences How to do networking right, including two-player games over Bluetooth and multiplayer games over Wi-Fi Who is this book for? All game developers who desire to create iPhone and/or iPod touch games Beginning iPhone Games Development is on Facebook!
Self-supervised Learning with Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera (2019)

We present GLNet, a self-supervised framework for learning depth, optical flow, camera pose and intrinsic parameters from monocular video - addressing the difficulty of acquiring realistic ground-truth for such tasks. We propose three contributions: 1) we design new loss functions that capture multiple geometric constraints (eg. epipolar geometry) as well as an adaptive photometric loss that supports multiple moving objects, rigid and non-rigid, 2) we extend the model such that it predicts camera intrinsics, making it applicable to uncalibrated video, and 3) we propose several online refinement strategies that rely on the symmetry of our self-supervised loss in training and testing, in particular optimizing model parameters and/or the output of different tasks, thus leveraging their mutual interactions. The idea of jointly optimizing the system output, under all geometric and photometric constraints can be viewed as a dense generalization of classical bundle adjustment. We demonstrate the effectiveness of our method on KITTI and Cityscapes, where we outperform previous self-supervised approaches on multiple tasks. We also show good generalization for transfer learning in YouTube videos.
Novel Progesterone Target Genes Identified by an Improved Differential Display Technique Suggest That Progestin-induced Growth Inhibition of Breast Cancer Cells Coincides with Enhancement of Differentiation (1997)

Progesterone is an important regulator of normal and malignant breast epithelial cells. In addition to stimulating development of normal mammary epithelium, it can be used to treat hormone-dependent breast tumors. However, the mechanism of growth inhibition by progestins is poorly understood, and only a limited number of progesterone target genes are known so far. We therefore decided to clone such target genes by means of differential display polymerase chain reaction. In this paper, we describe an improved differential display strategy that eliminates false positives, along with the identification of nine positive (TSC-22, CD-9, Na+/K+-ATPase alpha1, desmoplakin, CD-59, FKBP51, and three unknown genes) and one negative progesterone target genes (annexin-VI) from the mammary carcinoma cell line T47D, which is growth-inhibited by progestins. None of these genes have been reported before to be progesterone targets. Regulation of desmoplakin, CD-9, CD-59, Na+/K+-ATPase alpha1, and annexin-VI by the progestin suggests that progesterone induces T47D cells to differentiate. Three of these genes were repressed by estradiol and up-regulated by the progestin. Estradiol treatment of T47D cells also leads to formation of lamellipodia and delocalization of two cell adhesion proteins, E-cadherin and alpha-catenin. All these effects were reversed by the progestin. These data suggest that estradiol dedifferentiates T47D cells, while progestins have the opposite effect. This may be linked to the capacity of progestins to inhibit tumor growth.
[Interferon-beta treatment for multiple sclerosis and predictors of response]. (2008)

Interferon-beta (IFNbeta) is the most widely prescribed disease-modifying therapy for multiple sclerosis (MS) today. Large-scale clinical trials have established the clinical efficacy of IFNbeta in reducing relapses and slowing disease progression in relapsing-remitting MS. IFNbeta therapy was shown to be comparably beneficial for opticospinal MS (OSMS) and conventional MS in Japanese. IFNbeta is effective in reducing relapses in secondary progressive MS and may have a modest effect in slowing disability progression. Clinically isolated syndrome (CIS) refers to an initial demyelinating event that is suggestive of MS. Treatment for CIS with IFNbeta is effective in delaying conversion to clinically definite multiple sclerosis. Since neutralizing antibodies (NAbs) can reduce the clinical efficacy of IFNbeta in patients with MS, clinicians should consider the possible development of NAbs in patients demonstrating disease progression while receiving IFNbeta treatment. In some patients with neuromyelitis optica (NMO)/OSMS patients with anti-aquaporin-4 (APQ4) antibody or longitudinally extensive spinal cord lesions (LESCLs) extending over three vertebral segments as well as in patients with collagen disease, IFNbeta has been found to be ineffective or detrimental. In NMO/OSMS patients with LESCLs or patients with collagen disease, measurement of anti-APQ4 antibody is recommended. In these patients with anti-APQ4 antibody, careful consideration is necessary before initiating IFNbeta treatment.
LECTOR: a technique for leakage reduction in CMOS circuits (2004)

In CMOS circuits, the reduction of the threshold voltage due to voltage scaling leads to increase in subthreshold leakage current and hence static power dissipation. We propose a novel technique called LECTOR for designing CMOS gates which significantly cuts down the leakage current without increasing the dynamic power dissipation. In the proposed technique, we introduce two leakage control transistors (a p-type and a n-type) within the logic gate for which the gate terminal of each leakage control transistor (LCT) is controlled by the source of the other. In this arrangement, one of the LCTs is always "near its cutoff voltage" for any input combination. This increases the resistance of the path from V/sub dd/ to ground, leading to significant decrease in leakage currents. The gate-level netlist of the given circuit is first converted into a static CMOS complex gate implementation and then LCTs are introduced to obtain a leakage-controlled circuit. The significant feature of LECTOR is that it works effectively in both active and idle states of the circuit, resulting in better leakage reduction compared to other techniques. Further, the proposed technique overcomes the limitations posed by other existing methods for leakage reduction. Experimental results indicate an average leakage reduction of 79.4% for MCNC'91 benchmark circuits.
Multi-omics analysis based on proteomics is fun! : development of proteogenomic software generating sample-specific proteome database and comprehensive kinase activity analysis (2023)

がんゲノム医療では患者毎のゲノム変化に対して治療薬を選択するが数パーセントしか治療薬に結び付くゲノム変化を同定できない．ゲノム変化に加えて，がんの特性を直接的に反映し，分子標的薬などの治療標的であるプロテオームを用いることが有用である．治療標的を同定するために，我々は2つのアプローチでプロテオーム研究を行っている．サンプル特異的プロテオームデータベース作成ソフトウェア“OncoProGx”の開発と網羅的キナーゼ活性解析である．OncoProGxは公共データベースでは同定できないサンプル特有な変化である変異ペプチド・融合タンパク質・新規転写産物を同定でき，網羅的キナーゼ活性解析は，約100種類のチロシンキナーゼの活性を微量検体で測定し，ゲノムでは予測できない治療標的キナーゼを探索することが可能である．この2つのアプローチは共にがんの治療標的やバイオマーカーの同定が可能で，臨床に役立つツールである．
Is it Necessary to Fuse to S1 for the Tilted L5 in the Treatment of Adult Degenerative Scoliosis? (2016)

Introduction The extension of fusion to S1 compared with L5 and lower thoracic levels compared with L1 remains a highly controversial topic in the surgical treatment for adult degenerative scoliosis (ADS). As one of the criterion, if the tilted L5 were over 15°, the distal fusion level should extend to the sacrum. Could the tilted L5 be neutralized and the L5S1 be saved in the ADS correction? Material and Methods Posterior one stage of facetectomy and interbody release combined with key segment anterior structural column support were used to treat 32 ADS cases. The thoroughly interbody release and fusion were done with both side in all involved segment, a little bigger inserter were inserted into L3,4 and L4,5 cave side to neutralize the tilted L5 maximally. The operating time and the blood loss were recorded. Mean follow-up was at least two years. All the subjects were analyzed by visual analog scale, Oswestry Disability Index (ODI), and SF-36 scores, SRS 22 before and after surgery and at follow-up. The scoliotic curve, thoracic kyphosis, lumbar lordosis, pelvic incidence (PI), pelvic tilt (PT), sacral slope, and C7 plumb line were measured. For the statistical analysis, multivariate multiple regression models were formulated, considering as significant ( p < 0.05). Results The average operating time were 150min and the mean blood loss were 520ml. A statistically significant clinical and radiological amelioration was noted after surgery and at final follow-up. The ODI, and SF-36 scores, SRS 22 improved. The Cobb angle of lumbar lordosis (7 plumb line) and spino-pelvic parameters (PI, PT, sacral slope) returned to the normal range after surgery. L5S1 radiological adjacent segment pathology (RASP) happened in two cases at the follow-up, one was extended to the S1,there is no symptom in another case. Conclusion The tilted L5 can be neutralized and the L5S1 can be saved in the ADS correction. Even with a little movement, the saved L5S1 is important for a whole body to balance.
Modeling and Analysis of an Extended Access Barring Algorithm for Machine-Type Communications in LTE-A Networks (2015)

Simultaneous channel accesses from mass machine-type communications (MTC) devices may congest the random-access channels (RACHs) of LTE-A networks. Currently, 3GPP selects extended access barring (EAB) mechanism as the baseline solution to relieve the congestion of RACHs by barring low-priority devices. Different settings of EAB parameters may re-shape the arrival process of MTC traffic and thus, lead to unpredictable performance. This paper presents an analytical model to investigate the performance of the EAB algorithm on the RACHs in LTE-A networks. Computer simulations were conducted to verify the accuracy of the analysis. The optimal values of paging cycle and repetition period of system information block type 14 (SIB14) can then be obtained from the analytical model subject to a target quality-of-service (QoS) constraint.