gebhart/patrepeval huggingface dataset:
Protocols for Evaluating Efficacy of Postmilking Teat Dips (1990)

Protocols recommended by the National Mastitis Council for detennining efficacy of experimental postmilking teat dips in preventing intramammary infections are detailed. Three protocols are designed I) to detennine efficacy of a teat dip in preventing new intramammary infections following experimental exposure of teats to mastitis pathogens, 2) to determine efficacy of a teat dip in pre-
Optimal Routing: A Critical Review (2013)

The companies are striving to optimize the routers to implement managerial part and optimize the overall system as the prior research manifest the importance of the routing heuristics and optimal routine in a volume-based and random storage environment is analyzed in detail and it has been concluded that routing and policy performance should be enhanced to have better future of the company. The performance of the routing policies and optimization of heuristic routing policies is based on the performance and the application of the advanced heuristics solutions in the organization along with optimal routine for fast solutions.
Detection of Machines Anomaly from Log Files in Hard Disk Manufacturing Process (2016)

Hard disk manufacturing is an important industry in Thailand. The production line of its manufacturing process is highly complex and consists of hundreds of automated machines running a continuous flow production. When an anomaly event occurs the production line has to be stopped and the diagnosis engineering team must identify and locate the source of error amongst those machines and correct them quickly. In an automated production line, all machines are monitored and their log files are sent to a server continuously. Engineers use these log files to diagnose the causes of the errors. This work proposes to use machine learning method to identify the anomaly events in the log files. The experimental results show that it is very accurate and it can help the team of engineers to perform diagnosis quickly and effectively.
Dynamic variable reordering for BDD minimization (2002)

Binary Decision Diagrams (BDDs) are a data structure frequently used to represent complex Boolean functions in formal verification algorithms. An efficient heuristic algorithm for dynamically reducing the size of large reduced ordered BDDs by optimally reordering small windows of consecutive variables is presented. The algorithms have been fully integrated into the Berkeley and Carnegie Mellon BDD packages in such a way that the current variable order dynamically changes and is completely transparent to the user. Dynamic reordering significantly reduces the memory required for BDD-based verification algorithms, thus permitting the verification of significantly more complex systems than was previously possible. The algorithms exhibit a smooth tradeoff between CPU time and reduction in BDD size for almost all BDDs tested.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Regulatory Effect of Mesenchymal Stem Cells on T Cell Phenotypes in Autoimmune Diseases (2021)

Research on mesenchymal stem cells (MSCs) starts from the earliest assumption that cells derived from the bone marrow have the ability to repair tissues. Several scientists have since documented the crucial role of bone marrow-derived MSCs (BM-MSCs) in processes such as embryonic bone and cartilage formation, adult fracture and tissue repair, and immunomodulatory activities in therapeutic applications. In addition to BM-MSCs, several sources of MSCs have been reported to possess tissue repair and immunoregulatory abilities, making them potential treatment options for many diseases. Therefore, the therapeutic potential of MSCs in various diseases including autoimmune conditions has been explored. In addition to an imbalance of T cell subsets in most patients with autoimmune diseases, they also exhibit complex disease manifestations, overlapping symptoms among diseases, and difficult treatment. MSCs can regulate T cell subsets to restore their immune homeostasis toward disease resolution in autoimmune conditions. This review summarizes the role of MSCs in relieving autoimmune diseases via the regulation of T cell phenotypes.
Impedimetric Aptasensor with Femtomolar Sensitivity Based on the Enlargement of Surface-Charged Gold Nanoparticles (2008)

A simple and ultrasensitive label-free electrochemical impedimetric aptasensor for thrombin based on the cascaded signal amplification was reported. The sandwich system of aptamer/thrombin/aptamer-functionalized Au nanoparticles (Apt-AuNPs) was fabricated as the sensing platform. The change of the interfacial feature of the electrode was characterized by electrochemical impedance analysis with the redox probe [Fe(CN)(6)](3-/4-). For improving detection sensitivity, the three-level cascaded impedimetric signal amplification was developed: (1) Apt-AuNPs as the first-level signal enhancer; (2) the steric-hindrance between the enlarged Apt-AuNPs as the second-level signal amplification; (3) the electrostatic-repulsion between sodium dodecylsulfate (SDS) stabilized Apt-AuNPs and the redox probe [Fe(CN)(6)](3-/4-) as the third-level signal amplification. Enlargement of Apt-AuNPs integrated with negatively charged surfactant (SDS) capping could not only improve the detection sensitivity of the impedimetric aptasensor for thrombin but also present a simple and general signal-amplification model for impedimetric sensor. The aptasensor based on the enlargement of negatively charged Apt-AuNPs showed an increased response of the electron-transfer resistance to the increase of thrombin concentration through a wide detection range from 100 fM to 100 nM. The linear detection range was 0.05-35 nM, and thrombin was easily detectable to a concentration of 100 fM. The aptasensor also has good selectivity and reproducibility.
A Comparative Study of Related Technologies of Intrusion Detection &amp; Prevention Systems (2011)

The rapid growth of computer networks has changed the prospect of network security. An easy accessibility condition causes computer networks to be vulnerable against numerous and potentially devastating threats from hackers. Up to the moment, researchers have developed Intrusion Detection Systems (IDS) capable of detecting attacks in several available environments. A boundlessness of methods for misuse detection as well as anomaly detection has been applied. Intrusion Prevention Systems (IPS) evolved after that to resolve am-biguities in passive network monitoring by placing detection systems on the line of attack. IPS in other words is IDS that are able to give prevention commands to firewalls and access control changes to routers. IPS can be seen as an improvement upon firewall technologies. It can make access control decisions based on application content, rather than IP address or ports as traditional firewalls do. The next innovation is the combination of IDS and IPS known as Intrusion Detection and Prevention Systems (IDPS) capable of de-tecting and preventing attacks from happening. This paper presents an overview of IDPS followed by their classifications and applications. A new signature based IDPS architecture named HawkEye Solutions has been proposed by the authors. Authors have presented the basic building blocks of the IDS, which include mechanisms for carrying out TCP port scans, Traceroute scan, ping scan and packet sniffing to monitor net-work health detect various types of attacks. Real time implementation results of the system have been pre-sented. Finally a comparative analysis of various existing IDS/IPS solutions with HawkEye Solutions em-phasizes its significance.
Graphical State Space Programming: A visual programming paradigm for robot task specification (2011)

We describe a framework that combines a software development paradigm, a software visualization technique, and a tool for robot programming. This infrastructure is called "Graphical State Space Programming" (GSSP), and allows robot application programs to be decomposed and visualized within state-dependent views. Our approach simplifies and expedites the programming process for robot routines and behaviors, and we examine the performance improvement that ensues through a set of controlled user studies. The usability and effectiveness of GSSP are also illustrated using a field demonstration with an aerial robotic vehicle.
Digital human modelling in a virtual environment of CAD parts and a point cloud (2017)

Manual assembly is a time and cost consuming phase of production. It is crucial to design the assembly process so that overall system efficiency, quality output and human well-being meet desired levels. Since manual assembly involve humans, one support in the production design process is to use digital human modelling (DHM) tools to model and assess different design scenarios prior to the actual production process. In the traditional way, various CAD tools are used by engineers to model the production layout and the workstations. Then, these models typically are imported into a DHM tool to simulate human work, and to apply ergonomic evaluation methods on the simulated work tasks. This work, supported by CAD and DHM, can be a time consuming and iterative process as precise information and measurements of the actual assembly environment are needed, e.g. related to actual geometries of factory premises or of facilities surrounding the workstations. However, introducing point cloud scanning technology can provide the user with a more correct and realistic virtual representation of the environment, which allows for a faster and more precise design process.The aim of this paper is to present the developments and capabilities of the DHM tool IPS IMMA (Intelligently Moving Manikins) in an assembly process and in a virtual environment provided by point cloud scanning.
Comparison of the Frequency Compensation Techniques for CMOS Two-Stage Miller OTAs (2008)

Several design options are nowadays available for the frequency compensation of CMOS two-stage transconductance operational amplifiers, from the traditional Miller approach employing a nulling resistor or a voltage buffer, to a current buffer or the more modern current amplifier. However, designers have no results on the frequency performance achievable that allow to consciously choose the best approach to meet the prescribed specifications efficiently. In this paper, a comparison among the possible Miller approaches is carried out by exploiting an analytical figure of merit that expresses a tradeoff between gain-bandwidth product, load capacitance, and total transconductance for a given value of phase margin. Interesting and useful results, even unexpected, are found. The accuracy of the comparison is also validated through simulations.
Sensitive Plasmonic Detection of miR-10b in Biological Samples Using Enzyme-Assisted Target Recycling and Developed LSPR Probe (2019)

A portable and nonlabeled plasmonic biosensor was advanced to enable the sensitive and selective detection of microRNA (miRNA) in a biological sample. miRNAs can act on several key cellular processes, including cell differentiation, cell cycle progression, and function as oncogenes. Detection of circulating miRNAs, especially in blood or urine samples, allows noninvasive and simple diagnosis of diseases. Herein, we report a localized surface plasmon resonance sensor (LSPR) based on an enzyme-assisted target recycling system and a developed LSPR probe for the detection of gastric cancer relevant miRNAs, miR-10b. The sensitivity of the sensor was improved by increasing the concentration of the signal-amplifying agent using the duplex-specific nuclease and by strongly binding the developed LSPR probe, tannic acid capping gold nanoparticles, to the DNA. Under optimal conditions, miR-10b detection could be realized in the range of 5 pM-10 nM with a detection limit of 2.45 pM. This integrated detection system represents an approach to sensitive detection of miRNAs and offers great applications in personalized medicine and monitoring of cancer.
Photocatalytic Activity of Bulk<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msub><mml:mi>TiO</mml:mi><mml:mn>2</mml:mn></mml:msub></mml:math>Anatase and Rutile Single Crystals Using Infrared Absorption Spectroscopy (2011)

A systematic study on the photocatalytic activity of well-defined, macroscopic bulk single-crystal TiO(2) anatase and rutile samples has been carried out, which allows us to link photoreactions at surfaces of well-defined oxide semiconductors to an important bulk property with regard to photochemistry, the life time of e-h pairs generated in the bulk of the oxides by photon absorption. The anatase (101) surface shows a substantially higher activity, by an order of magnitude, for CO photo-oxidation to CO(2) than the rutile (110) surface. This surprisingly large difference in activity tracks the bulk e-h pair lifetime difference for the two TiO(2) modifications as determined by contactless transient photoconductance measurements on the corresponding bulk materials.
Examining the developing bone: What do we measure and how do we do it? (2006)

The clinical tools available to evaluate bone development in children are often ambiguous, and difficult to interpret. Unfortunately bone densitometry methods (i.e., dual energy X-ray absorptiometry, DXA) which have a relatively straightforward application in adult osteoporosis, are far more difficult to evaluate in the growing skeleton. Even with adequate "adjustment" for bone size or maturity, bone "density" (areal or volumetric) alone often gives an inaccurate assessment of bone strength--especially in children. Ideally, we would like to measure both material and geometric properties of bone to accurately estimate "strength". Mechanically meaningful measures of bone geometry (bone cross-sectional area, cortical thickness) and estimates of bending strength (section modulus, or SSI) are available with non-invasive techniques such as (p)QCT and some DXA software. With new technology it might be possible to also measure bone material properties, which will be especially important in some pediatric disorders. In children, we also need to know something about the loads imposed on a child's bone and consider not only absolute bone strength, but also the strength of bone relative to the physiologic loads. Interpreting bone strength in light of the loads imposed (particularly muscle force) is critical for an accurate diagnosis of the developing bone.
De novo <i>CIAS1</i> mutations, cytokine activation, and evidence for genetic heterogeneity in patients with neonatal‐onset multisystem inflammatory disease (NOMID): A new member of the expanding family of pyrin‐associated autoinflammatory diseases (2002)

Our data increase the total number of known germline mutations in CIAS1 to 20, causing a spectrum of diseases ranging from familial cold autoinflammatory syndrome to Muckle-Wells syndrome to NOMID/CINCA syndrome. Mutations in CIAS1 were only found in approximately 50% of the cases identified clinically as NOMID/CINCA syndrome, which raises the possibility of genetic heterogeneity. IL-1 regulation by CIAS1 suggests that IL-1 receptor blockade may constitute a rational approach to the treatment of NOMID/CINCA syndrome.
<title>Tighter process control of poly- and active-to-contact overlay registration via multilayer analysis</title> (2000)

As process technology in high volume production fabs hits the 180 nm window, overlay metrology of the most critical layers needs to be managed very carefully. As feature sizes and other device characteristics shrink, the overlay requirement becomes a larger component of the overall process specification. It is no longer sufficient to measure overlay for only two layers at a time. In no other part of the process is this more critical than the poly and active layer to first contact. The contact layer needs to be aligned to both active and poly within tight tolerances. Since adjustments to overlay for these levels are not independent, it is essential to understand the relationship between all three layers. TSMC in particular, because it is a foundry, is not able to optimize customer circuit design that would allow two-layer registration to be sufficient. Previously, the only method to accomplish this has been to make two sets of overlay measurements and having an engineer analyze the relative overlay between the three layers. The proposed solution to solve this problem is a multi-layer overlay measurement algorithm and measurement target. This paper will report on the analysis of the process improvements that have and can be achieved using this unique measurement capability.
Epidemiologic evidence for a causal relation between vaccination and fibrosarcoma tumorigenesis in cats (1993)

Within the past 2 years, a putative causal relationship has been reported between vaccination against rabies and the development of fibrosarcomas at injection sites in cats. A retrospective study was undertaken, involving 345 cats with fibrosarcomas diagnosed between January 1991 and May 1992, to assess the causal hypothesis. Cats with fibrosarcomas developing at body locations where vaccines are typically administered (n = 185) were compared with controls (n = 160) having fibrosarcomas at locations not typically used for vaccination. In cats receiving FeLV vaccination within 2 years of tumorigenesis, the time between vaccination and tumor development was significantly (P = 0.005) shorter for tumors developing at sites where vaccines are typically administered than for tumors at other sites. Univariate analysis, adjusted for age, revealed associations between FeLV vaccination (odds ratio [OR] = 2.82; 95% confidence interval [CI] = 1.54 to 5.15), rabies vaccination at the cervical/interscapular region (OR = 2.09; 95% CI = 1.01 to 4.31), and rabies vaccination at the femoral region (OR = 1.83; 95% CI = 0.65 to 5.10) with fibrosarcoma development at the vaccination site within 1 year of vaccination. Multivariate analysis, adjusted for age and other vaccines, also revealed increased risks after FeLV (OR = 5.49; 95% CI = 1.98 to 15.24) and rabies (OR = 1.99; 95% CI = 0.72 to 5.54) vaccination.(ABSTRACT TRUNCATED AT 250 WORDS)
Combined Deficiency of Dystrophin and β1 Integrin in the Cardiac Myocyte Causes Myocardial Dysfunction, Fibrosis and Calcification (2008)

The dystrophin-glycoprotein complex is a large complex of membrane-associated proteins linking the cytoskeleton to the extracellular matrix in muscle. Transmembrane heterodimeric (alphabeta) integrins serve also as cellular adhesion molecules and mechanotransducers. In the animal model for Duchenne muscular dystrophy, the mdx mouse, loss of dystrophin causes more severe abnormalities in skeletal than in cardiac muscle. We hypothesized that ablation of cardiac myocyte integrins in the mdx background would lead to a severe cardiomyopathic phenotype. Mdx mice were crossed to ones with cardiac myocyte-specific deletion of beta1 integrin (beta1KO) to generate beta1KOmdx. Unstressed beta1KOmdx mice were viable and had normal cardiac function; however, high mortality was seen in peri- and postpartum females by 6 months of age, when severe myocardial necrosis and fibrosis and extensive dystrophic calcification was seen. Decreased ventricular function and blunted adrenergic responsiveness was found in the beta1KOmdx mice compared with control (Lox/Lox, no Cre), beta1KO, and mdx. Similarly, adult beta1KOmdx males were more prone to isoproterenol-induced heart failure and death compared with control groups. Given the extensive calcification, we analyzed transcript levels of genes linked to fibrosis and calcification and found matrix gamma-carboxyglutamic acid protein, decorin, periostin, and the osteoblast transcription factor Runx2/Cbfa1 significantly increased in beta1KOmdx cardiac muscle. Our data show that combined deficiency of dystrophin and integrins in murine cardiac myocytes results in more severe cardiomyopathic changes in the stressed myocardium than reduction of either dystrophin or integrins alone and predisposes to myocardial calcification.
Noise analysis of a white-light supercontinuum light source for multiple wavelength confocal laser scanning fluorescence microscopy (2005)

Intensity correlations of a Ti : sapphire, Kr/Ar and a white-light supercontinuum were performed to quantify the typical signal amplitude fluctuations and hence ascertain the comparative output stability of the white-light supercontinuum source for confocal laser scanning microscopy (CLSM). Intensity correlations across a two-pixel sample (n = 1000) of up to 98%, 95% and 94% were measured for the Ti : sapphire, Kr/Ar and white-light supercontinuum source, respectively. The white-light supercontinuum noise level is therefore acceptable for CLSM, with the added advantage of wider wavelength flexibility over traditional CLSM excitation sources. The relatively low-noise white-light supercontinuum was then used to perform multiple wavelength sequential CLSM of guinea pig detrusor to confirm the reliability of the system and to demonstrate system flexibility.
Antagonism of serotonin S3 receptors with ondansetron prevents nausea and emesis induced by cyclophosphamide-containing chemotherapy regimens. (1990)

The control of nausea and emesis in cancer patients receiving chemotherapy poses a significant management problem. In this randomized, double-blind, placebo-controlled study, we evaluated the effect of serotonin S3 receptor blockade with ondansetron (GR 38032F) on the prevention of nausea and vomiting induced by cyclophosphamide-containing chemotherapy. Cyclophosphamide was given in doses of 500 to 600 mg/m2 and ondansetron as three intravenous (IV) doses of 0.15 mg/kg. Most patients had breast cancer. Cyclophosphamide was given in combination with doxorubicin (65% of patients) or with fluorouracil (85% of patients: 50% with Adriamycin [doxorubicin; Adria Laboratories, Columbus, OH] and 35% with methotrexate). All placebo-treated patients experienced vomiting, whereas 70% of patients treated with ondansetron did not vomit (P = .008). Median nausea scores were 8 mm on ondansetron and 65 mm on placebo (P less than .001). Seventy percent of patients treated with ondansetron retained their normal appetite, compared with 10% of placebo patients. Adverse events occurred in six placebo patients and one ondansetron patient. Diarrhea and headache were the most common events, both occurring more frequently in the placebo group. There were no extrapyramidal reactions, and the only significant biochemical change occurred in a placebo-treated patient. These results suggest that serotonin S3 receptor antagonists represent a novel, effective, and safe mode of therapy for nausea and emesis induced by cyclophosphamide-containing chemotherapies. In addition, our observations are compatible with the view that serotonin, acting on S3 receptors, mediates the nausea and emesis occurring after cyclophosphamide chemotherapy.
Image Registration Using Scale Invariant Feature Transform (2013)

Abstract- Image registration is a key operation to spatially align two or more images for comparing the difference between them or exploiting complementary information from those images. The main objective regarding automatic registration of satellite images is to obtain an accurate set of tie points and then apply the transformation function which is most suitable to the pair of images to be registered. An efficient method for AIR (Automatic Image Registration) is proposed, which combines image segmentation and scale invariant feature transform (SIFT), complemented by an outlier removal stage. The reference and unregistered images may differ in translation, rotation, and scale and may present distortions. The performance of this method is evaluated through measures such as Nred, RMSall, RMSloo, Pquad,