gebhart/patrepeval huggingface dataset:
Translation of Integrative Behavioral Couple Therapy to a Web‐based Intervention (2013)

Couple therapy-across a number of different theoretical approaches-has been shown to be an effective treatment for a variety of individual and relationship difficulties. Moreover, recent studies have demonstrated that the effects of several approaches last at least 2-5 years after the end of treatment. However, couple therapy has a critical limitation: most distressed couples--including those who eventually divorce--do not seek couple therapy. Thus, although we recognize there are notable advances in the treatment approaches described in this special section, we argue that traditional approaches to couple therapy need to be supplemented by alternative interventions before we can make a profound, population-level impact on relationship distress and divorce. To this end, we translated Integrative Behavioral Couple Therapy into a self-help, web-based program-www.OurRelationship.com. Through a combination of tailored feedback, filmed examples, and interactive education, the online program first helps couples identify a core problem in their relationship. The program then assists partners in coming to a new and more accurate understanding of the problem they jointly identified and subsequently brings them together in a structured conversation to share their new understandings with each other. Finally, based on this shared conceptualization, the program supports couples in making concrete changes in their relationship. In this article, we discuss the rationale for the program, describe the core components of the website, and illustrate these components with a case example. Relative advantages and disadvantages compared with traditional couple therapy are presented.
Comparison of various SYSADOA for the osteoarthritis treatment: an experimental study in rabbits (2015)

Out of the different drugs evaluated in the study for OA treatment, diacerein and risedronate showed, in all the parameters measured, a better profile of effectiveness; hyaluronic acid ameliorated cartilage swelling and promoted bone formation, but with a poor synovial effect; and finally, chondroitin and glucosamine sulfate prevented cartilage swelling in a similar way to the others, but had no effect on cartilage surface, synovial membrane or subchondral bone.
An improvement to generalized-minimum-distance decoding (1991)

A novel acceptance criterion that is less stringent than previous criteria is developed. The criterion accepts the codeword that is closest to the received vector for many cases where previous criteria fail to accept any codeword. As a result, the performance of generalized minimum distance (GMD) decoding is better if the new criterion is used. For M-ary signaling, the weights used in GMD decoding are generalized to permit each of the possible M symbol values to have a different weight.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Phenolic compound biochemistry (2007)

5 4 3 2 1 springer.com
Medicinal Plants and Dementia Therapy: Herbal Hopes for Brain Aging? (2010)

An escalating "epidemic" of diseases like Alzheimer's has not yet been met by effective symptomatic treatments or preventative strategies. Among a few current prescription drugs are cholinesterase inhibitors including galantamine, originating from the snowdrop. Research into ethnobotanicals for memory or cognition has burgeoned in recent years. Based on a multi-faceted review of medicinal plants or phytochemicals, including traditional uses, relevant bioactivities, psychological and clinical evidence on efficacy and safety, this overview focuses on those for which there is promising clinical trial evidence in people with dementia, together with at least one other of these lines of supporting evidence. With respect to cognitive function, such plants reviewed include sage, Ginkgo biloba, and complex mixtures of other traditional remedies. Behavioral and psychological symptoms of dementia (BPSD) challenge carers and lead to institutionalization. Symptoms can be alleviated by some plant species (e.g., lemon balm and lavender alleviate agitation in people with dementia; St John's wort treats depression in the normal population). The ultimate goal of disease prevention is considered from the perspective of limited epidemiological and clinical trial evidence to date. The potential value of numerous plant extracts or chemicals (e.g., curcumin) with neuroprotective but as yet no clinical data are reviewed. Given intense clinical need and carer concerns, which lead to exploration of such alternatives as herbal medicines, the following research priorities are indicated: investigating botanical agents which enhance cognition in populations with mild memory impairment or at earliest disease stages, and those for BPSD in people with dementia at more advanced stages; establishing an ongoing authoritative database on herbal medicine for dementia; and further epidemiological and follow up studies of promising phytopharmaceuticals or related nutraceuticals for disease prevention.
Computational Study of Room-Temperature Ionic Liquids Interacting with a POPC Phospholipid Bilayer (2012)

Molecular dynamics simulations based on an empirical force field have been carried out to investigate the properties of a zwitter-ionic phospholipid (POPC) bilayer in contact with a water solution of [bmim][Cl], [bmim][PF(6)] and [bmim][Tf(2)N] at concentration c = 0.5 M. The results reveal important and specific interactions of cations and anions with the bilayer. The [bmim](+) cation, in particular, shows a clear tendency to be incorporated tail-first into the bilayer. [Cl](-) remains in solution, [PF(6)](-) forms a thin layer on the lipid surface, and [bmim][Tf(2)N] precipitates out of the solution, giving rise to an ionic droplet deposited on the lipid surface. The simulation results provide a microscopic basis to interpret the available experimental observations.
In-vitro Ergebnisse von Dauerfestigkeit und Hämolyse einer flexiblen Taschenklappe - In-vitro Fatigue Test Results and Hemolysis of a Flexible Leaflet Valve (1981)

Article In-vitro Ergebnisse von Dauerfestigkeit und Hämolyse einer flexiblen Taschenklappe - In-vitro Fatigue Test Results and Hemolysis of a Flexible Leaflet Valve was published on January 1, 1981 in the journal Biomedical Engineering / Biomedizinische Technik (volume 26, issue 3).
Schizophrenia and stored memories: Left hemisphere dysfunction after all? (1991)

An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
rrndb: the Ribosomal RNA Operon Copy Number Database (2001)

The Ribosomal RNA Operon Copy Number Database (rrndb) is an Internet-accessible database containing annotated information on rRNA operon copy number among prokaryotes. Gene redundancy is uncommon in prokaryotic genomes, yet the rRNA genes can vary from one to as many as 15 copies. Despite the widespread use of 16S rRNA gene sequences for identification of prokaryotes, information on the number and sequence of individual rRNA genes in a genome is not readily accessible. In an attempt to understand the evolutionary implications of rRNA operon redundancy, we have created a phylogenetically arranged report on rRNA gene copy number for a diverse collection of prokaryotic microorganisms. Each entry (organism) in the rrndb contains detailed information linked directly to external websites including the Ribosomal Database Project, GenBank, PubMed and several culture collections. Data contained in the rrndb will be valuable to researchers investigating microbial ecology and evolution using 16S rRNA gene sequences. The rrndb web site is directly accessible on the WWW at http://rrndb.cme. msu.edu.
An Efficient Deep Quantized Compressed Sensing Coding Framework of Natural Images (2018)

Traditional image compressed sensing (CS) coding frameworks solve an inverse problem that is based on the measurement coding tools (prediction, quantization, entropy coding, etc.) and the optimization based image reconstruction method. These CS coding frameworks face the challenges of improving the coding efficiency at the encoder, while also suffering from high computational complexity at the decoder. In this paper, we move forward a step and propose a novel deep network based CS coding framework of natural images, which consists of three sub-networks: sampling sub-network, offset sub-network and reconstruction sub-network that responsible for sampling, quantization and reconstruction, respectively. By cooperatively utilizing these sub-networks, it can be trained in the form of an end-to-end metric with a proposed rate-distortion optimization loss function. The proposed framework not only improves the coding performance, but also reduces the computational cost of the image reconstruction dramatically. Experimental results on benchmark datasets demonstrate that the proposed method is capable of achieving superior rate-distortion performance against state-of-the-art methods.
CONTAINER PRODUCTION OF UNDERUTILIZED URBAN TREES USING KENAF AND COCONUT COIR PITH (1996)

Growth responses during nursery production in 2.2- and 11.4-liter plastic containers to conventional and alternative media of four species of small trees of limited availability for potential use in urban sites in the southwest United States ( Acacia wrightii, Chilopsis linearis , × Chitalpa tashkentensis , and Rhus lanceolata ) were compared to that of a commercially available small tree ( Fraxinus velutina ). Four media combinations, at 3:1 (v/v) of bark: sand (conventional), bark: coconut coir pith, kenaf stalk core: peatmoss, and kenaf: coir, with three fertilizer concentrations (3.6, 7.2, and 10.7 kg·m –3 of 18N–2.6P–10K Osmocote) were tested with each species. All species exhibited commercially acceptable growth (80 to 167 cm mean heights in 11.4-liter containers in 240 days) with near 100% survival in most media and fertilizer combinations with the following exceptions: shoot extension of Rhus lanceolata was reduced by 20 to 30 cm and survival by 20% to 50% in kenaf media with high fertility rates; and Acacia wrightii had acceptable shoot extension but exhibited poor trunk diameter growth across media relative to the other species. Slightreductions in growth of some species were noted with kenaf media and slight increases with coconut coir, but differences were not likely of commercial significance. Kenaf media was significantly lighter (20% to 80%) than bark media, but had elevated initial electrical conductivity (EC) and shrank to 60% to 70% of its initial volume after 240 days. Kenaf: peatmoss media had a slightly lower mean pH (6.34) compared to the other media (pH 6.41–6.49).
Genetically encoded fluorescent biosensors illuminate kinase signaling in cancer (2019)

Protein kinase signaling networks stringently regulate cellular processes, such as proliferation, motility, and cell survival. These networks are also central to the evolution and progression of cancer. Accordingly, genetically encoded fluorescent biosensors capable of directly illuminating the spatiotemporal dynamics of kinase signaling in live cells are being increasingly used to investigate kinase signaling in cancer cells and tumor tissue sections. These biosensors enable visualization of biological processes and events directly <i>in situ</i>, preserving the native biological context and providing detailed insight into their localization and dynamics in cells. Herein, we first review common design strategies for kinase activity biosensors, including signaling targets, biosensor components, and fluorescent proteins involved. Subsequently, we discuss applications of biosensors to study the biology and management of cancer. These versatile molecular tools have been deployed to study oncogenic kinase signaling in living cells and image kinase activities in tumors or to decipher the mechanisms of anticancer drugs. We anticipate that the diversity and precision of genetically encoded biosensors will expand their use to further unravel the dysregulation of kinase signaling in cancer and the modes of actions of cancer-targeting drugs.
The Bvv-Family of Robot Vision Systems (2005)

To meet the requirements of robot vision a multiprocessor system architecture was conceived which is based on a small number of loosely coupled microcomputers, interconnected by two separate bus systems for video data and for inter-processor message exchange. Three generations of vision systems BVV based on this architecture have been built up to date. The two first ones use only standard micro-processors of moderate computing power, but they have, nevertheless, shown a remarkable performance in real-time vision applications. This is mainly due to the fact that both the structure of the system and the performance of its internal communication channels closely match the needs of the task of dynamic vision. The third one uses, in addition, a special processor, similar to a signal processor, for further enhancing the performance of the system.
NLANGP: Supervised Machine Learning System for Aspect Category Classification and Opinion Target Extraction (2015)

This paper describes our system used in the Aspect Based Sentiment Analysis Task 12 of SemEval-2015. Our system is based on two supervised machine learning algorithms: sigmoidal feedforward network to train binary classifiers for aspect category classification (Slot 1), and Conditional Random Fields to train classifiers for opinion target extraction (Slot 2). We extract a variety of lexicon and syntactic features, as well as cluster features induced from unlabeled data. Our system achieves state-of-the-art performances, ranking 1st for three of the evaluations (Slot 1 for both restaurant and laptop domains, and Slot 1 & 2) and 2nd for Slot 2 evaluation.
[Chinese standard for the diagnosis and treatment of colorectal cancer (2010)]. (2011)

To augment the levels of diagnosis and treatment for colorectal cancer and make them standardization in China, the Ministry of Health of the People's Republic of China released Chinese Standard for The Management of Colorectal Cancer (2010) in November 4, 2010. This standard incorporates the most recent progresses in colorectal cancer, and it provides standard guidelines with respect to diagnosis, pathologic examination, surgery, adjuvant therapy in the management of colorectal cancer in China.
On Required Element Testing (1984)

In this paper we introduce two classes of program testing strategies that consist of specifying a set of required elements for the program and then covering those elements with appropriate test inputs. In general, a required element has a structural and a functional component and is covered by a test case if the test case causes the features specified in the structural component to be executed under the conditions specified in the functional component. Data flow analysis is used to specify the structural component and data flow interactions are used as a basis for developing the functional component. The strategies are illustrated with examples and some experimental evaluations of their effectiveness are presented.
Catheter ablation of cardiac arrhythmias : a practical approach (2006)

Basic principles.- Ablation of cardiac arrhythmias - energy sources and mechanisms of lesion formation.- Three-dimensional electroanatomic mapping systems.- Accessory pathways.- Atrioventricular nodal reentrant tachycardia.- Cavotricuspid isthmus-dependent atrial flutter - common-type atrial flutter.- Atypical atrial flutter.- Focal atrial tachycardia.- Ventricular tachycardia.- Catheter ablation of atrial fibrillation.- Mapping and ablation in the pediatric population.- Mapping and ablation in congenital heart disease.
Global Production and Currency Devaluation* (2006)

Abstract We model the production allocation choices of a multinational enterprise (MNE) in a three‐country framework—one northern country and two southern ones. Products made in the South are of lower quality than those made in the North. Substitutability between goods differs due to variations in product quality. We investigate how exchange rates affect production, employment, and welfare, and find that currency devaluation from different countries brings contrasting results. In particular, an appreciation in the southern country (X) producing the lowest‐quality good with the least cost may reduce production (employment) in the North, while an appreciation in the other southern currency (Y) always does the opposite. A northern depreciation against both southern currencies may increase production in country X, but always reduces that in country Y. These arise because the MNE shifts production globally to minimize costs. Northern welfare always falls following currency appreciation in southern countries.
Stimulting heavy oil reservoirs with downhole air-gas burners (1965)

A diagram shows a typical field installation of a downhole air-gas burner. Extensive field experience with this downhole air-gas burner indicates this thermal stimulation technique will effectively increase producing rates from viscous, heavy crude reservoirs. The tool, which burns an air-gas mixture supplied from surface through a small-diameter parallel tubing string, produces heat where it is needed most--at the bottom of the hole opposite the producing interval. The tool is relatively economical to install and operate. Depth is not a major limitation. The burner can operate effectivley at depths exceeding 5000 ft. The installation requires little supervision. Downhole burner designs, field installations, surface equipment requirements, economics, well selection procedures, and limitations are discussed. Detailed case histories of 3 burner-stimulated wells are included.
Financial/Investment Analysis (1992)

A investment decision involves the commitment of funds with the hope of future benefit. Many investment decisions are concerned with transforming an idea or emerging technology into a business venture. This transformation process requires the use of capital and labor resources to develop and provide products/services that satisfy market needs in such a manner that market-determined rates of return are provided on employed capital. In order to obtain necessary capital (from investment banks, venture capital firms, corporations, and other parties) it is necessary to prepare a business plan. A major objective of the business plan is to demonstrate to the investment community (including corporate management) the need for and the magnitude and timing of resources to be employed, products/ services to be developed and provided, markets to be satisfied, and the financial performance that will result from the planned business venture. The business plan serves as the justification for the capital and other forms of investment. It also, upon commitment of resources, serves as both the initial plan for conducting business and the means for measuring performance. The business plan normally consists of several supporting plans and analyses, the specific and details of which are a function of the anticipated source of capital. These may include (as necessary to obtain financing): a market analysis and resulting sales forecast; a competitive analysis including rationale for achieving forecasted market shares; a detailed product/service cost analysis; a financial analysis that develops pro-forma income, cash flow, and balance sheet statements for the considered planning horizon; a market/sales plan that identifies the distribution channels, sales force (and
A Neuro-Fuzzy Scheme for Simultaneous Feature Selection and Fuzzy Rule-Based Classification (2004)

Most methods of classification either ignore feature analysis or do it in a separate phase, offline prior to the main classification task. This paper proposes a neuro-fuzzy scheme for designing a classifier along with feature selection. It is a four-layered feed-forward network for realizing a fuzzy rule-based classifier. The network is trained by error backpropagation in three phases. In the first phase, the network learns the important features and the classification rules. In the subsequent phases, the network is pruned to an "optimal" architecture that represents an "optimal" set of rules. Pruning is found to drastically reduce the size of the network without degrading the performance. The pruned network is further tuned to improve performance. The rules learned by the network can be easily read from the network. The system is tested on both synthetic and real data sets and found to perform quite well.
Study of the Method of Multi-Frequency Signal Detection Based on the Adaptive Stochastic Resonance (2013)

Recently, the stochastic resonance effect has been widely used by the method of discovering and extracting weak periodic signals from strong noise through the stochastic resonance effect. The detection of the single-frequency weak signals by using stochastic resonance effect is widely used. However, the detection methods of the multifrequency weak signals need to be researched. According to the different frequency input signals of a given system, this paper puts forward a detection method of multifrequency signal by using adaptive stochastic resonance, which analyzed the frequency characteristics and the parallel number of the input signals, adjusted system parameters automatically to the low frequency signals in the fixed step size, and then measured the stochastic resonance phenomenon based on the frequency of the periodic signals to select the most appropriate indicators in the middle or high frequency. Finally, the optimized system parameters are founded and the frequency of the given signals is extracted in the frequency domain of the stochastic resonance output signals. Compared with the traditional detection methods, the method in this paper not only improves the work efficiency but also makes it more accurate by using the color noise, the frequency is more accurate being extracted from the measured signal. The consistency between the simulation results and analysis shows that this method is effective and feasible.
The Current State of Multidrug‐Resistant Gram‐Negative Bacilli in North America (2008)

Although much of today's media focuses on multidrug-resistant gram-positive bacteria such as methicillin-resistant Staphylococcus aureus and vancomycin-resistant Enterococcus, resistance within gram-negative bacilli continues to rise, occasionally creating situations in which few or no antibiotics that retain activity are available. Extended-spectrum beta-lactamase (ESBL)-producing Escherichia coli and Klebsiella sp are emerging threats nationally. Although carbapenems are considered the antibiotic class of choice to treat ESBL-producing Enterobacteriaceae, the ability of these organisms to produce carbapenemases has now become apparent in some regions throughout the United States. Although still rare, Klebsiella sp that produce KPC-2 retain susceptibility only to tigecycline, polymyxins, and occasionally aminoglycosides. Multidrug resistance among Pseudomonas aeruginosa and Acinetobacter sp has always been apparent across many hospitals in the United States. Recent surveillance indicates increasing resistance to all currently available antibiotics, including carbapenems, cephalosporins, penicillins, fluoroquinolones, and aminoglycosides. Against many strains, only polymyxins retain activity; however, resistance has also been reported to these agents. Fortunately, resistance mechanisms such as metallo-beta-lactamases are still rare in the United States. As no new antibiotics with novel mechanisms against many of these gram-negative bacilli are expected to be developed in the foreseeable future, careful and conservative use of agents combined with good infection control practices is required.