gebhart/patrepeval huggingface dataset:
MultiAspectForensics: Pattern Mining on Large-Scale Heterogeneous Networks with Tensor Analysis (2011)

Modern applications such as web knowledge base, network traffic monitoring and online social networks have made available an unprecedented amount of network data with rich types of interactions carrying multiple attributes, for instance, port number and time tick in the case of network traffic. The design of algorithms to leverage this structured relationship with the power of computing to assist researchers and practitioners for better understanding, exploration and navigation of this space of information has become a challenging, albeit rewarding, topic in social network analysis and data mining. The constantly growing scale and enriching genres of network data always demand higher levels of efficiency, robustness and generalizability where existing approaches with successes on small, homogeneous network data are likely to fall short. We introduce MultiAspectForensics, a handy tool to automatically detect and visualize novel sub graph patterns within a local community of nodes in a heterogenous network, such as a set of vertices that form a dense bipartite graph whose edges share exactly the same set of attributes. We apply the proposed method on three data sets from distinct application domains, present empirical results and discuss insights derived from these patterns discovered. Our algorithm, built on scalable tensor analysis procedures, captures spectral properties of network data and reveals informative signals for subsequent domain-specific study and investigation, such as suspicious port-scanning activities in the scenario of cyber-security monitoring.
Assessment of body plantar pressure in elite athletes: an observational study (2013)

An intense program of physical activity, typical of elite athletes, results in a series of modifications of the posture that in a short period of time can have a negative impact on both their health and performance. These negative effects can be prevented and corrected by an integrated approach that encompasses anthropometry and posture evaluation. The aim of this study is the assessment of the anthropometric and postural parameters of elite athletes of different sports speci- alities to identify discipline(s) potentially associated with unbalanced postural attitudes. Height, weight, body mass index, stabilometric analysis, foot load, and center of pressure distribution were evaluated to identify which parameters are mainly correlated with postural aspects in professional athletes compared to amateur, age-matched subjects. We found a permanently unbalanced postural attitude in rugby players, skiers, and judokas, which are not, by definition, asymmetric sport disciplines. On the contrary, motorcyclists showed an overall balanced load distribution, probably due to the absence of any special performance required from lower limbs, potentially forcing a specific postural shape. This data is the basis to identify anthropometric and postural parameters mostly modified in different sport disciplines, which need to be always monitored to counteract the establishment of sport- specific imbalances.
Development of Polysaccharide-Based Colon Targeted Drug Delivery Systems for the Treatment of Amoebiasis (2007)

The main focus of this study is to develop colon targeted drug delivery systems for metronidazole (MTZ). Tablets were prepared using various polysaccharides or indigenously developed graft copolymer of methacrylic acid with guar gum (GG) as a carrier. Various polysaccharides such as GG, xanthan gum, pectin, carrageenan, beta-cyclodextrin (CD) or methacrylic acid-g-guar (MAA-g-GG) gum have been selected and evaluated. The prepared tablets were tested in vitro for their suitability as colon-specific drug delivery systems. To further improve the colon specificity, some selected tablet formulations were enteric coated with Eudragit-L 100 to give protection in an acidic environment. Drug release studies were performed in simulated gastric fluid (SGF) for 2 hr followed by simulated intestinal fluid (SIF) at pH 7.4. The dissolution data demonstrate that the rate of drug release is dependent upon the nature and concentration of polysaccharide/polymer used in the formulations. Uncoated tablets containing xanthan gum or mixture of xanthan gum with graft copolymer showed 30-40% drug release during the initial 4-5 hr, whereas for tablets containing GG with the graft copolymer, it was 70%. After enteric coating, the release was drastically reduced to 18-24%. The other polysaccharides were unable to protect drug release under similar conditions. Preparations with xanthan gum as a matrix showed the time-dependent release behavior. Further, in vitro release was performed in the dissolution media with rat caecal contents. Results indicated an enhanced release when compared to formulations studied in dissolution media without rat caecal contents, because of microbial degradation or polymer solubilization. The nature of drug transport was found to be non-Fickian in case of uncoated formulations, whereas for the coated formulations, it was found to be super-Case-II. Statistical analyses of release data indicated that MTZ release is significantly affected by the nature of the polysaccharide used and enteric coating of the tablet. Differential scanning calorimetry indicated the presence of crystalline nature of drug in the formulations.
MoS<sub>2</sub> Assisted Self-Assembled Poly(3-hexylthiophene) Thin Films at an Air/Liquid Interface for High-Performance Field-Effect Transistors under Ambient Conditions (2020)

It is a key challenge to achieve long-range ordering in the nanoscale morphology of π-conjugated polymers for efficient charge transport in organic electronic devices. The long-range ordering and aggregation in poly(3-hexylthiophene) (P3HT) have been accomplished by introducing two-dimensional (2D) molybdenum disulfide (MoS2) nanosheets to a polymer matrix, followed by ultrasonication in chloroform. Thin films of synthesized P3HT/MoS2 nanocomposites, having various fractions of MoS2 in the P3HT matrix, have been fabricated on the air/liquid interface. UV–vis absorption spectroscopy has been employed to investigate the nature of aggregation and exciton bandwidth in the resultant films deposited at the air/liquid interface. Moreover, grazing incidence X-ray diffraction (GIXD) analysis and atomic force microscopy (AFM) reveal the long-range ordering and highly crystalline thin films with the edge-on orientation of polymer chains over the substrate. Furthermore, the impact of aggregation, morphology, and orientation on macroscopic charge transport performance is elaborately estimated by fabricating organic field-effect transistors (OFETs). A hole mobility as high as 0.160 ± 0.007 cm2 V–1 s–1 has been achieved for a P3HT/MoS2 (1%) nanocomposite under ambient conditions.
Morphologic changes in age-related maculopathy (1997)

Age-related maculopathy (ARM) is a degenerative disorder of the central part of the retina with a rising prevalence in patients 50 years of age and older, and comprises different histopathological changes. The morphologic changes in ARM are described and illustrated with light-microscopical, electron microscopical, and fundus pictures. Furthermore, the most important biochemical data are given. The most prominent aging changes in early stages of ARM are drusen and basal laminar deposit (BLD), both extracellular deposits, that are assumed to be important in the development of ARM. Drusen accumulate within Bruch's membrane, whereas BLD is present between Bruch's membrane and the retinal pigment epithelium. Although the histopathologic characteristics of the deposits are well documented, the chemical composition has only been partly resolved. Biochemical analysis of these deposits is necessary to determine the source of the deposits and to find possible ways to avoid or treat them. The late stages of ARM, geographic atrophy, and neovascular (disciform) degeneration, are called age-related macular degeneration (AMD), and result in severe and irreversible visual impairment. Since there is still no adequate therapy for the majority of people disabled by AMD, and because of the aging population resulting in even more patients with this disease, it is necessary to intensify the research on ARM in order to prevent AMD or find a therapy for it.
Hemopump support for the failing heart. (1991)

Under fluoroscopy, the hemopump is passed through the aortic valve into the left ventricle through a Gortex (WF Gore, Denver, CO) chimney sewn to a surgically exposed femoral artery. The system aspirates the left ventricular blood and actively pumps it into the aorta. Five patients (four men, one woman), aged 47-71 years (mean, 62 years), were candidates for hemopump support because of refractory cardiogenic shock. Three were recovering from repeated coronary artery bypass graft (CABG) surgery, and two required postoperative emergency CABG for failed percutaneous transluminal coronary angioplasty (PTCA). One patient died during insertion, and four had the hemo-pump successfully placed. All patients had low cardiac out-put and had intraaortic balloons in place. Average insertion time took 20 min, with maintenance on the hemopump for an average of 13 hr. One patient was maintained on the hemopump for 12 hr, but because of continued deterioration, was placed on a total artificial heart (Harvik 7-70). Patients 3 (hemopump inserted transthoracically) and 4 had the hemopump discontinued because of brain death, and the fifth survived. This patient is alive and working 1 yr later. The hemopump is an effective left ventricular support system that is less invasive than conventional transthoracic systems.
Autonomous Hauler Loading (2013)

In this thesis we have designed and implemented components for an autonomoussystem for material re handling in the construction business, an autonomouswheel loader. Our achievements was at the end of this thesis demonstratedon a prototype machine. Our main contribution to the autonomous wheelloader is a new software platform design, with this new platform future expansionsis made easier. We have also developed several software components forthis platform that solves tasks required for autonomous operation with the wheelloader the most important listed below. Mission state machine Vision algorithm, detect and parametrizes a load receiver (in this thesis ahauler) from LiDAR scanner data Translation algorithm, translate the wheel loader to a dynamic target andthere empty the payloadLow level development on the vision system of the autonomous wheel loaderwas also required to bee able to reach the target of the thesis. We have implementeda communication driver and a API for a LiDAR scanner and a API for aservo controller. A mechanical xture have been designed in CAD, manufacturingof this xture was achieved using a CNC mill.
Deep learning enables automated localization of the metastatic lymph node for thyroid cancer on 131I post-ablation whole-body planar scans (2020)

The accurate detection of radioactive iodine-avid lymph node (LN) metastasis on <sup>131</sup>I post-ablation whole-body planar scans (RxWBSs) is important in tracking the progression of the metastatic lymph nodes (mLNs) of patients with papillary thyroid cancer (PTC). However, severe noise artifacts and the indiscernible location of the mLN from adjacent tissues with similar gray-scale values make clinical decisions extremely challenging. This study aims (i) to develop a multilayer fully connected deep network (MFDN) for the automatic recognition of mLNs from thyroid remnant tissue by utilizing the dataset of RxWBSs and (ii) to evaluate its diagnostic performance using post-ablation single-photon emission computed tomography. Image patches focused on the mLN and remnant tissues along with their variations of probability of pixel positions were fed as inputs to the network. With this efficient automatic approach, we achieved a high F1-score and outperformed the physician score (P < 0.001) in detecting mLNs. Competitive segmentation networks on RxWBS displayed moderate performance for the mLN but remained robust for the remnant tissue. Our results demonstrated that the generalization performance with the multiple layers by replicating signal transmission overcome the constraint of local minimum optimization, it can be suitable to localize the unstable location of mLN region on RxWBS and therefore MFDN can be useful in clinical decision-making to track mLN progression for PTC.
Natural Cinnamic Acids, Synthetic Derivatives and Hybrids with Antimicrobial Activity (2014)

Antimicrobial natural preparations involving cinnamon, storax and propolis have been long used topically for treating infections. Cinnamic acids and related molecules are partly responsible for the therapeutic effects observed in these preparations. Most of the cinnamic acids, their esters, amides, aldehydes and alcohols, show significant growth inhibition against one or several bacterial and fungal species. Of particular interest is the potent antitubercular activity observed for some of these cinnamic derivatives, which may be amenable as future drugs for treating tuberculosis. This review intends to summarize the literature data on the antimicrobial activity of the natural cinnamic acids and related derivatives. In addition, selected hybrids between cinnamic acids and biologically active scaffolds with antimicrobial activity were also included. A comprehensive literature search was performed collating the minimum inhibitory concentration (MIC) of each cinnamic acid or derivative against the reported microorganisms. The MIC data allows the relative comparison between series of molecules and the derivation of structure-activity relationships.
Optical Waveguides Fabricated by Ion Implantation/Irradiation: A Review Optical Waveguides Fabricated by Ion Implantation/Irradiation: A Review (2012)

Optical Waveguides Fabricated by Ion Implantation/Irradiation: A Review Optical Waveguides Fabricated by Ion Implantation/Irradiation: A Review
Industrial sealing technology (1979)

Shows how to identify and solve all kinds of sealing problems, bringing together data previously scattered throughout the literature. Discusses basic principles of how seals work, what different kinds of seals can accomplish, and what range of environmental and mechanical specifications each seal type is suited for. Covers all major categories of seals, explaining what seals are available, how they function, who can fabricate them, and how they behave in the field. Also examines packings--both mathematically and empirically--and reciprocating shafts.
Exploiting cache in multimedia (2003)

The paper explores cache strategies for multimedia. Although many architectural improvements have been designed for multimedia, the cache structure and the standard caching policies of general-purpose processors exhibit poor performance in exploiting the 2D spatial locality typical of programs handling and processing images. We propose a novel caching approach, suitably tailored to the requirement of multimedia programs. Our proposal exploits hardware pre-fetching for allocating in cache, blocks of data that satisfy the 2D spatial locality requirements. Results refer to a benchmark suite of multimedia programs including MPEG decoding and image processing programs with different data dependency and access schemes to image data.
A pacemaker powered by an implantable biofuel cell operating under conditions mimicking the human blood circulatory system – battery not included (2013)

Biocatalytic electrodes made of buckypaper were modified with PQQ-dependent glucose dehydrogenase on the anode and with laccase on the cathode and were assembled in a flow biofuel cell filled with serum solution mimicking the human blood circulatory system. The biofuel cell generated an open circuitry voltage, Voc, of ca. 470 mV and a short circuitry current, Isc, of ca. 5 mA (a current density of 0.83 mA cm(-2)). The power generated by the implantable biofuel cell was used to activate a pacemaker connected to the cell via a charge pump and a DC-DC converter interface circuit to adjust the voltage produced by the biofuel cell to the value required by the pacemaker. The voltage-current dependencies were analyzed for the biofuel cell connected to an Ohmic load and to the electronic loads composed of the interface circuit, or the power converter, and the pacemaker to study their operation. The correct pacemaker operation was confirmed using a medical device - an implantable loop recorder. Sustainable operation of the pacemaker was achieved with the system closely mimicking human physiological conditions using a single biofuel cell. This first demonstration of the pacemaker activated by the physiologically produced electrical energy shows promise for future electronic implantable medical devices powered by electricity harvested from the human body.
Immunohistochemical detection of sialosyl‐Tn antigen in carcinoma of the prostate (1997)

STn is expressed with malignant transformation of the prostatic epithelial cells and immunohistochemical methods using commercially available STn monoclonal antibody may be useful as an adjunct for distinguishing carcinoma from benign tissue.
Differential Equation Modeling of HIV Viral Fitness Experiments: Model Identification, Model Selection, and Multimodel Inference (2008)

Many biological processes and systems can be described by a set of differential equation (DE) models. However, literature in statistical inference for DE models is very sparse. We propose statistical estimation, model selection, and multimodel averaging methods for HIV viral fitness experiments in vitro that can be described by a set of nonlinear ordinary differential equations (ODE). The parameter identifiability of the ODE models is also addressed. We apply the proposed methods and techniques to experimental data of viral fitness for HIV-1 mutant 103N. We expect that the proposed modeling and inference approaches for the DE models can be widely used for a variety of biomedical studies.
RNA Interference Targeting Transforming Growth Factor-β Enhances NKG2D-Mediated Antiglioma Immune Response, Inhibits Glioma Cell Migration and Invasiveness, and Abrogates Tumorigenicity<b><i>In vivo</i></b> (2004)

Transforming growth factor (TGF)-beta is the key molecule implicated in impaired immune function in human patients with malignant gliomas. Here we report that patients with glioblastoma, the most common and lethal type of human glioma, show decreased expression of the activating immunoreceptor NKG2D in CD8(+) T and natural killer (NK) cells. TGF-beta is responsible for the down-regulation of NKG2D expression in CD8(+) T and NK cells mediated by serum and cerebrospinal fluid of glioma patients in vitro. Moreover, TGF-beta inhibits the transcription of the NKG2D ligand MICA. Interference with the synthesis of TGF-beta1 and TGF-beta2 by small interfering RNA technology prevents the down-regulation of NKG2D on immune cells mediated by LNT-229 glioma cell supernatant and strongly enhances MICA expression in the glioma cells and promotes their recognition and lysis by CD8(+) T and NK cells. Furthermore, TGF-beta silencing results in a less migratory and invasive glioma cell phenotype in vitro. LNT-229 glioma cells deficient in TGF-beta exhibit a loss of subcutaneous and orthotopic tumorigenicity in nude mice, and NK cells isolated from these mice show an activated phenotype. RNA interference targeting TGF-beta1,2 results in a glioma cell phenotype that is more sensitive to immune cell lysis and less motile in vitro and nontumorigenic in nude mice, strongly confirming TGF-beta antagonism as a major therapeutic strategy for the future treatment of malignant gliomas.
Deep Learning Side-Channel Attack Resilient AES-256 using Current Domain Signature Attenuation in 65nm CMOS (2020)

This article, for the first time, demonstrates an efficient circuit-level countermeasure to prevent deep-learning based side-channel analysis (DLSCA) attacks on encryption devices. Machine learning (ML) SCA, particularly DLSCA attacks have been shown to be extremely effective as it can potentially reveal the secret key of the cryptographic device with as low as a single trace, by offloading the heavy-lifting on the profiling phase where the model learns the correlated leakage patterns of the key. This work presents a current-domain signature attenuation (CDSA) hardware embedding an AES256 engine fabricated in 65nm CMOS technology to suppress the current signature by >350× before it reaches the power supply pin accessible to an attacker. Measurement results show that a 256-class deep neural network (DNN) model for DLSCA attack can be fully trained (>99.9% test accuracy) using only <; 5K power traces from the unprotected AES256, while the DNN model for the protected CDSA-AES256 cannot be trained even with 10M traces.
An overview of risk based security assessment (2003)

We describe weaknesses in using deterministic methods for performing security assessment for bulk transmission systems. We also present motivation for using probabilistic risk and provide fundamental relations for making the associated calculations. The benefits and applications of using a risk index for security assessment are discussed, and an illustration is provided for line overload security assessment in the operational context.
Fragment Molecular Orbital Method Applied to Lead Optimization of Novel Interleukin-2 Inducible T-Cell Kinase (ITK) Inhibitors (2016)

Inhibition of inducible T-cell kinase (ITK), a nonreceptor tyrosine kinase, may represent a novel treatment for allergic asthma. In our previous reports, we described the discovery of sulfonylpyridine (SAP), benzothiazole (BZT), indazole (IND), and tetrahydroindazole (THI) series as novel ITK inhibitors and how computational tools such as dihedral scans and docking were used to support this process. X-ray crystallography and modeling were applied to provide essential insight into ITK-ligand interactions. However, "visual inspection" traditionally used for the rationalization of protein-ligand affinity cannot always explain the full complexity of the molecular interactions. The fragment molecular orbital (FMO) quantum-mechanical (QM) method provides a complete list of the interactions formed between the ligand and protein that are often omitted from traditional structure-based descriptions. FMO methodology was successfully used as part of a rational structure-based drug design effort to improve the ITK potency of high-throughput screening hits, ultimately delivering ligands with potency in the subnanomolar range.
Robust watermark embedding/detection algorithm for H.264 video (2005)

We present a blind watermark embedding/detection algorithm to embed watermarks into H.264's I pictures. The embedded watermark can survive H.264's compression attacks with more than a 40:1 compression ratio in I pictures. One pair of predicted discrete cosine transform (DCT) coefficients within the blocks of size 4×4 are used to embed 1-bit watermark information. The embedding locations of DCT coefficients are switched from lower subbands to higher subbands in a predefined order, while the distortions between predicted values and original values are larger than a tolerable bound. With these methods, the embedded watermarks can survive H.264's compression attacks with good invisibility.