gebhart/patrepeval huggingface dataset:
Current and Future Trends in Internet-Supported Mental Health Interventions (2011)

Despite growing research in the past two decades involving Internet-supported or online mental health interventions, there has been only a few attempts to provide a synthesis of the research findings and future trends. The Internet has grown exponentially during this time, providing greater access to a wider population than ever before. Consequently, online mental health interventions have the potential to be cost-effective, convenient, and reach a more diverse population than traditional, face-to-face interventions. This paper reviews and summarizes the current research for online mental health interventions and discusses future trends. These interventions range from psychoeducational static webpages and complex, personalized, interactive cognitive-behavioral-based self-help programs, to videoconferencing, self-help support groups, blogging, and professional-led online therapy. Future trends in online interventions include the greater prevalence of online therapy and the use of video chat and videoconferencing technologies to enhance and extend the therapeutic relationship. The use of texting or short message service (SMS), mobile communications, smart phone applications, gaming, and virtual worlds extends the intervention paradigm into new environments not always previously considered as intervention opportunities. We find that there is strong evidence to support the effective use and future development of a variety of online mental health applications.
Reactions between Calcium- and Strontium-Substituted Lanthanum Cobaltite Ceramic Membranes and Calcium Silicate Sealing Materials (2001)

The reaction between Ca- and Sr-substituted LaCoO3 and CaSiO3/Ca2SiO4 has been studied by electron microscopy (SEM and TEM) and X-ray diffraction. The aim was to investigate the chemical stability of these materials as a model system for, respectively, a membrane and a sealing material in dense oxygen-permeable membrane systems. Sintered powder mixtures of the two materials were analyzed to gain information about coexistent phases in the CaO/SrO−La2O3-CoO−SiO2 system. The estimated phase composition along the CaSiO3-LaCoO3 line has been worked out. The chemical aspects of glass−ceramic sealing of dense perovskite membranes were studied by making diffusion couples. LaCoO3 was found to be kinetically more stable to calcium silicate than Ca- and Sr-substituted LaCoO3. The results also revealed that Ca2SiO4 is a more suitable sealing material than CaSiO3, due to lower reactivity. Thus, the stability of the membrane/sealant interface was observed to be quite sensitive to the O:Si ratio of the calcium silicate: 3 < O:Si < 4 will give rise to good sealing properties and moderate reactivity to the membrane material. A suitable material is a two-phase material with O:Si close to four, e.g. an orthosilicate glass−ceramic material with small amounts of metasilicate or disilicate glass.
Comparative Studies on the Structure and Stability of Fluorescent Proteins EGFP, zFP506, mRFP1, “dimer2”, and DsRed1 (2004)

To obtain more information about the structural properties and conformational stabilities of GFP-like fluorescent proteins, we have undertaken a systematic analysis of series of green and red fluorescent proteins with different association states. The list of studied proteins includes EGFP (green monomer), zFP506 (green tetramer), mRFP1 (red monomer), "dimer2" (red dimer), and DsRed1 (red tetramer). Fluorescent and absorbance parameters, near-UV and visible CD spectra, the accessibility of the chromophores and tryptophans to acrylamide quenching, and the resistance of these proteins to the guanidine hydrochloride unfolding and kinetics of the approaching of the unfolding equilibrium have been compared. Tetrameric zFP506 was shown to be dramatically more stable than the EGFP monomer, assuming that association might contribute to the protein conformational stability. This assumption is most likely valid even though the sequences OF GFP and zPF506 are only approximately 25% identical. Interestingly, red FPs possessed comparable conformational stabilities, where monomeric mRFP1 was the most stable species under the equilibrium conditions, whereas the tetrameric DsRed1 possessed the slowest unfolding kinetics. Furthermore, EGFP is shown to be considerably less stable than mRFP1, whereas tetrameric zFP506 is the most stable species analyzed in this study. This means that the quaternary structure, being an important stabilizing factor, does not represent the only circumstance dictating the dramatic variations between fluorescent proteins in their conformational stabilities.
Anomaly Detection Based on Access Behavior and Document Rank Algorithm (2014)

Distributed denial of service(DDos) attack is ongoing dangerous threat to the Internet. Commonly, DDos attacks are carried out at the network layer, e.g. SYN flooding, ICMP flooding and UDP flooding, which are called Distributed denial of service attacks. The intention of these DDos attacks is to utilize the network bandwidth and deny service to authorize users of the victim systems. Obtain from the low layers, new application-layer-based DDos attacks utilizing authorize HTTP requests to overload victim resources are more undetectable. When these are taking place during crowd events of any popular website, this is the case is very serious. The state-of-art approaches cannot handle the situation where there is no considerable deviation between the normal and the attackers activity. The page rank and proximity graph representation of online web accesses takes much time in practice. There should be less computational complexity, than of proximity graph search. Hence proposing Web Access Table mechanism to hold the data such as "who accessed what and how many times, and their rank on average" to find the anomalous web access behavior. The system takes less computational complexity and may produce considerable time complexity.
Fetal protection against bovine viral diarrhea virus types 1 and 2 after the use of a modified-live virus vaccine. (2009)

The objective of this study was to demonstrate the efficacy of a modified-live virus (MLV) vaccine in protecting fetuses from infection with type 1 or type 2 Bovine viral diarrhea virus (BVDV) when pregnant heifers were challenged at approximately 170 d of gestation with noncytopathic field isolates. The 83 pregnant heifers had been bred naturally 4 wk after vaccination. Fetuses were collected 60 d after BVDV type 2 challenge, and newborn calves were collected before colostrum intake after BVDV type 1 challenge. Protection was determined by measuring the serum neutralizing (SN) antibody response in the fetus or calf and by virus isolation from thymus, lung, spleen, and kidney tissue samples. There was a measurable SN antibody response to BVDV in all the fetuses and calves of the control heifers, which had received a placebo vaccine. However, only 4 of 22 calves and 7 of the 28 fetuses of the MLV-vaccinated heifers demonstrated SN antibody after BVDV challenge. Type 1 BVDV was isolated from tissue samples of 5 of the 12 calves of control heifers and none of 22 calves of the MLV-vaccinated heifers challenged with type 1 BVDV. Type 2 BVDV was isolated from tissue samples of 17 of the 18 fetuses of the control heifers and 2 of the 28 fetuses of the MLV-vaccinated heifers challenged with type 2 BVDV. The results of this study demonstrate that the MLV vaccine reduces the fetal infection rate by at least 82% for BVDV type 1 and by 75% for BVDV type 2 when heifers are exposed to highly fetotrophic BVDV at 170 d of gestation.
E-Counterfeit: A Mobile-Server Platform for Document Counterfeit Detection (2017)

This paper presents a novel application to detect counterfeit identity documents forged by a scan-printing operation. Texture analysis approaches are proposed to extract validation features from security background that is usually printed in documents as IDs or banknotes. The main contribution of this work is the end-to-end mobile-server architecture, which provides a service for non-expert users and therefore can be used in several scenarios. The system also provides a crowdsourcing mode so labeled images can be gathered, generating databases for incremental training of the algorithms.
Many-to-Many Geographically-Embedded Flow Visualisation: An Evaluation (2016)

Showing flows of people and resources between multiple geographic locations is a challenging visualisation problem. We conducted two quantitative user studies to evaluate different visual representations for such dense many-to-many flows. In our first study we compared a bundled node-link flow map representation and OD Maps [37] with a new visualisation we call MapTrix. Like OD Maps, MapTrix overcomes the clutter associated with a traditional flow map while providing geographic embedding that is missing in standard OD matrix representations. We found that OD Maps and MapTrix had similar performance while bundled node-link flow map representations did not scale at all well. Our second study compared participant performance with OD Maps and MapTrix on larger data sets. Again performance was remarkably similar.
Hybrid machine learning technique for intrusion detection system (2015)

The utilization of the Internet has grown tremendously resulting in more critical data are being transmitted and handled online.Hence, these occurring changes have led to draw the conclusion that thenumber of attacks on the important information over the internet is increasing
yearly.Intrusion is one of the main threat to the internet.Various techniques and approaches have been developed to address the limitations of intrusion detection system such as low accuracy, high false alarm rate, and time consuming. This research proposed a hybrid machine learning technique for network intrusion detection based on combination of K-means clustering and support vector machine classification.The aim of this research is to reduce the rate of false positive alarm, false negative alarm rate and to improve the detection rate.The NSL-KDD dataset has been used in the proposed technique.In order to improve classification performance, some steps have been taken on the dataset.The classification has been performed by using support vector machine. After training and testing the proposed hybrid machine learning technique, the results have shown that the proposed technique has achieved a positive detection rate and reduce the false alarm rate.
The application of nanoparticles in gene therapy and magnetic resonance imaging (2011)

The combination of nanoparticles, gene therapy, and medical imaging has given rise to a new field known as gene theranostics, in which a nanobioconjugate is used to diagnose and treat the disease. The process generally involves binding between a vector carrying the genetic information and a nanoparticle, which provides the signal for imaging. The synthesis of this probe generates a synergic effect, enhancing the efficiency of gene transduction and imaging contrast. We discuss the latest approaches in the synthesis of nanoparticles for magnetic resonance imaging, gene therapy strategies, and their conjugation and in vivo application.
Polynuclear pyrazolato complexes. Synthesis, chemical reactivity and crystal structures of [{Pd(dmpz)2(Hdmpz)2}2] and [{PdAg2(dmpz)4}2](Hdmpz = 3,5-dimethylpyrazole) (1996)

The dinuclear complex [{Pd(dmpz)2(Hdmpz)2}2](Hdmpz = 3,5-dimethylpyrazole) has been synthesized and its solid-state structure determined by X-ray methods. Each dimeric molecule, of idealized 422 symmetry, possesses four strong intramolecular hydrogen bonds, equalizing the Hdmpz and dmpz ligands. The complex has been treated with AgNO3 and [Cu(MeCN)4]BF4, in search of heterobimetallic derivatives; [{PdCu2(dmpz)4}2] and [{PdAg2(dmpz)4}2] species have been isolated. The latter, characterized by X-ray methods, is a non-bonded octahedral cluster (trans Pd2Ag4) bridged by eight dihapto dmpz ligands, thus formally deriving from its precursor by substitution of four H+ by Ag+ ions. This increases the Pd⋯Pd distance from 3.746(1) to 5.160(1)Å, and slightly changes the ligand conformation.
Effect of Silicon on the Growth of Soybean Plants in a Solution Culture (1985)

Abstract Soybean plants were cultured in solution with and without silicon application (silicon-supplied plants and silicon-free plants). Both silicon-free and silicon-supplied (l00 ppm SiO2) plants grew normally in the earlier growth stages. At the flowering stage, however, the newly-developed leaves (7th and 8th leaves) of the silicon-free plants showed malformations such as curling and curving to the outside, while the silicon-supplied plants grew normally. In severe cases, numerous necrotic spots were observed on the leaves of the plants. The growth of the silicon-free plants was markedly inferior to that of the silicon-supplied plants. The pollen fertility rate of the silicon-free plants was lower than that of the silicon-supplied plants. As the Ca content of the soybean plant was much higher than the SiO2 content, the soybean plant is rated as a Ca-type plant like the tomato plant. However, unlike the tomato plant in which most of Si is retained in the roots, the soybean plant translocates Si freely from the roots to the tops. Therefore the mode of Si uptake of the soybean plant is not of the rejective type like in the tomato plant but of the intermediate type as in the case of cucumber plants which stand between the active uptake type and the rejective type. Key Words: silicon deficiency symptomsoybeanpollen fertility
Sequence-Controlled Methacrylic Multiblock Copolymers: Expanding the Scope of Sulfur-Free RAFT (2018)

Sulfur-free reversible addition–fragmentation transfer polymerization (SF-RAFT) in emulsion allows access to the synthesis of sequence-controlled methacrylic multiblock copolymers. Herein, we expand the scope of SF-RAFT emulsion polymerization by utilizing four different macrochain transfer agents (mCTA) to mediate the synthesis of diblocks and sequence-controlled methacrylic multiblock copolymers. Poly(methyl methacrylate) (pMMA), poly(butyl methacrylate) (pBMA), poly(ethyl methacrylate) (pEMA), and poly(benzyl methacrylate) (pBzMA) of a similar Mn (∼4300 g mol–1) were successfully synthesized via catalytic chain transfer polymerization (CCTP) in emulsion. The capability of these mCTAs to act as macroinitiators was investigated through the synthesis of “in situ” diblock copolymers and was then expanded to the synthesis of deca- and hexablock multiblock copolymers with varying degrees of polymerization (DPn = 10–50 per block, Mn,total = 7000–55 000 g mol–1), yielding well-defined copolymers with controlled molecular weights, quantitative conversions (>99%), and low dispersities (Đ ∼ 1.2) without employing sulfur or transition metal reagents.
Homodyne laser Doppler vibrometer on silicon-on-insulator with integrated 90 degree optical hybrids (2013)

A miniaturized homodyne laser Doppler vibrometer (LDV) with a compact 90° optical hybrid is experimentally demonstrated on a CMOS compatible silicon-on-insulator (SOI) platform. Optical components on this platform usually have inadequate suppressions of spurious reflections, which significantly influence the performance of the LDV. Numerical compensation methods are implemented to effectively decrease the impact of these spurious reflections. With the help of these compensation methods, measurements for both super-half-wavelength and sub-half-wavelength vibrations are demonstrated. Results show that the minimal detectable velocity is around 1.2 μm/s.
Preliminary Study of Preparation and Properties of Activated K-Feldspar-Filled Hydrogel Materials (2013)

This study preliminarily evaluated water absorbency and potassium release property of a novel hybrid hydrogel material as a potential hydrogel K-fertilizer. This hybrid hydrogel material was prepared by introducing activated K-feldspar powder into starch-graft-PAA hydrogel networks via aqueous solution polymerization. The mineral phases were characterized by X-ray diffraction (XRD) patterns and the water absorbencies of the hybrid hydrogel along with potassium release property were preliminarily studied. The results indicate that the optimum extraction rate of potassium is 92.14% using the additive of NaCl at 950°C and 2h. The hydrogel was prepared at the amount of starch, cross-linker, initiator, and neutralization degree were 20%, 0.04%, 0.6%, and 80%, respectively. The hybrid hydrogel was synthesized by mixing hydrogel with activated powders. The results show the water absorbency of the hybrid hydrogel is 169g/g and the potassium ion release percentage is 8.0% of activated powder per gram.
Caveolin-1 Inhibits Epidermal Growth Factor-stimulated Lamellipod Extension and Cell Migration in Metastatic Mammary Adenocarcinoma Cells (MTLn3) (2000)

Caveolin-1 is a principal component of caveolae membranes that may function as a transformation suppressor. For example, the human caveolin-1 gene is localized to a suspected tumor suppressor locus (D7S522; 7q31.1) that is deleted in human cancers, including mammary carcinomas. However, little is known about the role of caveolins in regulating cell movement, a critical parameter in determining metastatic potential. Here, we examine the role of caveolin-1 in cell movement. For this purpose, we employed an established cellular model, MTLn3, a metastatic rat mammary adenocarcinoma cell line. In this system, epidermal growth factor (EGF) stimulation induces rapid lamellipod extension and cell migration. Interestingly, we find that MTLn3 cells fail to express detectable levels of endogenous caveolin-1. To restore caveolin-1 expression in MTLn3 cells efficiently, we employed an inducible adenoviral gene delivery system to achieve tightly controlled expression of caveolin-1. We show here that caveolin-1 expression in MTLn3 cells inhibits EGF-stimulated lamellipod extension and cell migration and blocks their anchorage-independent growth. Under these conditions, EGF-induced activation of the p42/44 mitogen-activated protein kinase cascade is also blunted. Our results suggest that caveolin-1 expression in motile MTLn3 cells induces a non-motile phenotype.
Nitration of 2,3-dimethoxynaphthalene (1967)

Nitration of 2,3-dimethoxynaphthalene leads to three mononitro-products, one dinitro-product, and one 1,2-naphthaquinone. Structural assignments, based largely on spectral data, differ in part from those in the literature.
The effects of exercise and food restriction on obesity and diabetes in young ob/ob mice. (1984)

Hormone levels and body composition were examined in six-week-old C57BL/6J ob/ob mice following 25 d of limited caloric intake, voluntary exercise, or combined treatment. Pair-feeding obese mice to the daily intakes of lean mice reduced body weight gain, skeletal growth and lean body mass. Although weight gain was the same in the two phenotypes, ob/ob mice had fourfold higher rates of fat deposition. When exercise was combined with pair-feeding, skeletal and lean body growth were reduced even further and weight gain was now less than ad libitum-fed lean controls. Carcass fat accretion, however, continued to be two to three times greater. No single treatment reversed the hyperglycemia or elevated hormone production of obese mice, although slightly lower values of glucose, insulin, glucagon and corticosterone were associated with pair-feeding. When diet was combined with exercise, fasting glycemia and glucagonemia were reduced to equal the values of lean mice but insulin and corticosterone levels remained elevated. The present results show that dieted and exercised ob/ob mice continue to exhibit very high rates of fat deposition even though skeletal and lean growth are severely limited. Since fat accretion is maintained under these conditions, it appears that obese mice are not just storing excess calories as fat, but are actively regulating body fat content to levels about 30 percent higher than lean mice.
“FUGGERY” (1962)

Journal Article “FUGGERY” Get access CECIL Y. LANG CECIL Y. LANG 760 Ostrom Avenue, Syracuse, N.Y Search for other works by this author on: Oxford Academic Google Scholar Notes and Queries, Volume 9, Issue 2, February 1962, Pages 73-d–73, https://doi.org/10.1093/nq/9-2-73d Published: 01 February 1962
Parameter reduction and context selection for compression of gray-scale images (1985)

In the compression of multilevel (color or gray) image data, effective compression is obtained economically by judicial selection of the predictor and the conditioning states or contexts which determine what probability distribution to use for the prediction error. We provide a cost-effective approach to the following two problems: (1) to reduce the number of coding parameters to describe a distribution when several contexts are involved, and (2) to choose contexts for which variations in prediction error distributions are expected. We solve Problem 1 (distribution description) by a partition of the range of values of the outcomes into equivalence classes, called buckets. The result is a special decomposition of the error range. Cost-effectiveness is achieved by using the many contexts only to predict the bucket (equivalence class) probabilities. The probabilities of the value within the bucket are assumed to be independent of the context, thus enormously reducing the number of coding parameters involved. We solve Problem 2 (economical contexts) by using the buckets of the surrounding pixels as components of the conditioning class. The bucket values have the desirable properties needed for the error distributions.
Robust Visual Tracking using 1 Minimization (2009)

In this paper we propose a robust visual tracking method by casting tracking as a sparse approximation problem in a particle filter framework. In this framework, occlusion, corruption and other challenging issues are addressed seamlessly through a set of trivial templates. Specifically, to find the tracking target at a new frame, each target candidate is sparsely represented in the space spanned by target templates and trivial templates. The sparsity is achieved by solving an � 1-regularized least squares problem. Then the candidate with the smallest projection error is taken as the tracking target. After that, tracking is continued using a Bayesian state inference framework in which a particle filter is used for propagating sample distributions over time. Two additional components further improve the robustness of our approach: 1) the nonnegativity constraints that help filter out clutter that is similar to tracked targets in reversed intensity patterns, and 2) a dynamic template update scheme that keeps track of the most representative templates throughout the tracking procedure. We test the proposed approach on five challenging sequences involving heavy occlusions, drastic illumination changes, and large pose variations. The proposed approach shows excellent performance in comparison with three previously proposed trackers.