gebhart/patrepeval huggingface dataset:
A Meta-Analysis of Intervention Research for Posttraumatic Growth in Cancer Patients (2016)

Purpose: The objective of this study was to analyze effect size of the intervention studies for posttraumatic growth in patients with\ncancer. Methods: A total of 871 studies published between 2000 and 2014 were identified by searching Ovid-Medline, CINAHL,\nPubMed, Scopus, PsycARTICLES, Cochrane library, RISS, and KISS. 15 studies were selected for inclusion in the meta-analysis. Data\nwere analyzed using the Comprehensive Meta-Analysis (CMA) Ver. 3 program and the effect sizes were shown using Hedges’s g score.\nResults: Intervention studies included 5 studies on Cognitive Behavioral Stress Management (CBSM), 4 studies for Mindfulness-\nBased Stress Reduction (MBSR), 2 studies for couple-based intervention, and 1 study each for health coaching, building resilience,\nyoga and painting intervention. The overall controlled effect size was 0.335 (95% CI=0.231, 0.438), using a fixed effects model. The\nmost effective intervention was the couple-based intervention (0.368, 95% CI=- 0.146, 0.883), followed by MBSR (0.340, 95%\nCI= 0.172, 0.508) and CBSM (0.314, 95% CI= 0.139, 0.490). Conclusion: Cancer is one of the most significant traumatic events that\naffect patients’ lives, a few cancer patients have been known to have posttraumatic growth. Therefore it is necessary to consider nursing\ninterventions to increase posttraumatic growth for cancer patients such as couple-based intervention, MBSR and CBSM.
The <i>k</i> best spanning arborescences of a network (1980)

Abstract An efficient algorithm is presented for finding, in order, K best spanning arborescences in a given network with n vertices and m edges. The time is O(Km log n ), and space is O(K + m ).
Parallelizing compilers: implementation and effectiveness (1993)

An important thank you goes to one of my undergraduate professors, Ken Kennedy. He proposed the project that led to this thesis, and my desire to know the answer gave me the strength to complete this work. I would like to thank the languages group at Kubota Pacific Computers, Inc. for showing me that I could indeed be productive and that all problems in compilers did not take years to solve. My sanity is thanks to all of my friends from dancing, &amp;quot;O &amp;quot; runs, and everything else. They made it possible to return to work each day and eventually to graduate. I owe my parents a great debt for encouraging me to stay in graduate school even when I thought I would never finish. Last, but certainly not least, I would like to thank Don Ramsey for reading many drafts and listening to many dry runs. His input greatly helped the presentation of this thesis in both oral and written forms.
The Biosynthesis and Metabolism of Acarbose in Actinoplanes sp. SE 50/110: A Progress Report (2003)

The α-glucosidase inhibitor acarbose produced by Actinoplanes sp. SE50/110 is a pseudotetrasaccharide, which consists of an unsaturated cyclitol (carba-sugar), 4-amino-4,6-dideoxyglucose and maltose. The cyclitol (valienol) and the 4-amino-4,6-dideoxyglucose are linked via an N-glycosidic (imino) bond, forming the so-called acarviosyl moiety, which is primarily responsible for the inhibitory effect on α-glucosidases. The gene cluster encoding the biosynthetic genes for the synthesis of acarbose (acb-genes) was sequenced and 25 open reading frames belonging to the acb-gene cluster were identified. Based on the analysis of the enzymes encoded by the acb-cluster, the biosynthesis and ecological role of acarbose is described. The gene cluster includes genes which encode: proteins for the synthesis of the cyclitol; the enzymes for the synthesis of dTDP-4-amino-4,6-dideoxyglucose; glycosyltransferases for the condensation reactions; ATP-dependent exporters and importers; extracellular starch degrading enzymes; and intracellular acarbose modifying enzymes. Acarbose has a dual role for the producer: it inhibits α-glucosidic enzymes of competitors and functions as a carbophor for the uptake of glucose or starch molecules.
Determination of formaldehyde with an enzyme-coated piezoelectric crystal detector (1983)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTDetermination of formaldehyde with an enzyme-coated piezoelectric crystal detectorGeorge G. GuilbaultCite this: Anal. Chem. 1983, 55, 11, 1682–1684Publication Date (Print):September 1, 1983Publication History Published online1 May 2002Published inissue 1 September 1983https://pubs.acs.org/doi/10.1021/ac00261a010https://doi.org/10.1021/ac00261a010research-articleACS PublicationsRequest reuse permissionsArticle Views331Altmetric-Citations133LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose Get e-Alerts
Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification (2017)

Multi-label classification is the task of predicting a set of labels for a given input instance. Classifier chains are a state-of-the-art method for tackling such problems, which essentially converts this problem into a sequential prediction problem, where the labels are first ordered in an arbitrary fashion, and the task is to predict a sequence of binary values for these labels. In this paper, we replace classifier chains with recurrent neural networks, a sequence-to-sequence prediction algorithm which has recently been successfully applied to sequential prediction tasks in many domains. The key advantage of this approach is that it allows to focus on the prediction of the positive labels only, a much smaller set than the full set of possible labels. Moreover, parameter sharing across all classifiers allows to better exploit information of previous decisions. As both, classifier chains and recurrent neural networks depend on a fixed ordering of the labels, which is typically not part of a multi-label problem specification, we also compare different ways of ordering the label set, and give some recommendations on suitable ordering strategies.
Further Studies of the Genus Methylobacterium and Description of Methylobacterium aminovorans sp. nov. (1993)

Pink-pigmented facultatively methylotrophs belonging to the genus Methylobacterium were examined in this study. Methylobacterium strains are divided into eight species on the basis of phenotypic characteristics. This division is supported by the results of DNA-DNA homology experiments. On the basis of DNA relatedness and other characteristics, a new species, Methylobacterium aminovorans, is proposed. The type strain of M. aminovorans is strain TH-15 (= JCM 8240).
Mechanism of persistent infection associated with peritoneal implants (1992)

The ability of rabbits to clear an intraperitoneal injection of Pseudomonas aeruginosa in the presence or absence of a surgically implanted peritoneal device was investigated. Sham-operated rabbits without an implant eliminated a P. aeruginosa challenge of 5 x 10(6) cfu/ml; lavage fluid and peritoneal tissues became culture-negative within 96 h. However, peritonitis developed in rabbits that were given the same number of bacteria in the presence of an implant; high bacterial counts were recovered from the lavage fluid and the device itself. Scanning and transmission electronmicroscopy revealed bacterial biofilms on the surface of the device. Insertion of pre-colonised devices demonstrated a rapid multiplication of sessile organisms within the resulting bacterial biofilm. Counts reached a plateau of about 1 x 10(7) cfu/cm2 of Silastic by day 16 and fluctuated around this level until the end of the study. Pre-immunisation with formalin-killed whole cells of P. aeruginosa did not reduce this bacterial growth despite high levels of specific IgG. The results confirm the failure of peritoneal defences to clear an infection in the presence of an implant following either challenge with planktonic bacteria or insertion of a pre-colonised device, and demonstrate the rapid development of bacterial biofilms on the surface of the implant which appear to protect the bacteria from host defences, even when primed by pre-immunisation.
Utilizing Third Party Auditing to Manage Trust in the Cloud (2015)

Recent trends within the IT industry have led to a tectonic shift in the way organizations utilize information systems to yield maximum efficiency. Cloud computing is the cornerstone of the aforementioned paradigm permutation. Information security, however, continues to dominate discussion on how organizations can utilize the efficiency of the cloud, while simultaneously maintaining end-user privacy and trust. The advent of cloud computing has likewise brought with it a multitude of new and exciting concepts that can complicate security demands exponentially. These security demands must be met to ensure user trust. Multi-tenancy is a cloud computing concept that is at the forefront of information security concerns in the 21st century computing environment. Current Multi-tenancy models fail to provide adequate security measures by blindly multiplexing various unknown users, whose intentions can be hostile, with reputable cloud service users. In this paper, we propose a novel security auditing framework to establish the user trust by (a) allowing the cloud service users (CSUs) to provide their security preferences with the desired cloud services, (b) providing a conceptual mechanism to validate the security controls and internal security policies of cloud service providers (CSPs) published in the CSA's (Cloud Security Alliance) Security Trust and Assurance Registry (STAR) database, and (c) maintaining a database of CSPs along with their responses to the Consensus Assessments Initiative Questionnaire (CAIQ) as well as the certificates issued by the certificate authorities. Thus, our proposed framework facilitates the CSUs in choosing a trustworthy CSP by empowering them to select an appropriate security preferences and services.
Na+-dependent Transport of Threonine in Brevibacterium flavum (1973)

Journal Article Na+-dependent Transport of Threonine in Brevibacterium flavum Get access Isamu SHIIO, Isamu SHIIO Central Research Laboratories of Ajinomoto Co., Inc.Kawasaki Search for other works by this author on: Oxford Academic PubMed Google Scholar Ryuichi MIYAJIMA, Ryuichi MIYAJIMA Central Research Laboratories of Ajinomoto Co., Inc.Kawasaki Search for other works by this author on: Oxford Academic PubMed Google Scholar Nobukazu KASHIMA Nobukazu KASHIMA Central Research Laboratories of Ajinomoto Co., Inc.Kawasaki Search for other works by this author on: Oxford Academic PubMed Google Scholar The Journal of Biochemistry, Volume 73, Issue 6, June 1973, Pages 1185–1193, https://doi.org/10.1093/oxfordjournals.jbchem.a130190 Published: 01 June 1973 Article history Received: 08 December 1972 Published: 01 June 1973
KNOWROB &#x2014; knowledge processing for autonomous personal robots (2009)

Knowledge processing is an essential technique for enabling autonomous robots to do the right thing to the right object in the right way. Using knowledge processing the robots can achieve more flexible and general behavior and better performance. While knowledge representation and reasoning has been a well-established research field in artificial intelligence for several decades, little work has been done to design and realize knowledge processing mechanisms for the use in the context of robotic control. In this paper, we report on KNOWROB, a knowledge processing system particularly designed for autonomous personal robots. KNOWROB is a first-order knowledge representation based on description logics that provides specific mechanisms and tools for action-centered representation, for the automated acquisition of grounded concepts through observation and experience, for reasoning about and managing uncertainty, and for fast inference - knowledge processing features that are particularly necessary for autonomous robot control.
Higher plant mitochondria encode an homologue of the nuclear‐encoded 30‐kDa subunit of bovine mitochondrial complex I (1993)

We describe the structure and expression of a wheat mitochondrial gene, which codes for a subunit of mitochondrial NADH dehydrogenase. The deduced protein sequence has 70% similarity to the 30-kDa subunit of bovine mitochondrial complex I and 65% similarity to the 31-kDa subunit of Neurospora crassa complex I, components of the iron-sulfur-protein fraction, both nuclear-encoded proteins. We named this wheat mitochondrial gene as nad9. The wheat nad9 gene is transcribed in a single mRNA of 0.9 kb that is edited (C-to-U conversions) in 14 positions. Transcript mapping revealed that the first ATG codon is just 20 nucleotides downstream of the mRNA 5' end and that the 3' end is just 23 nucleotides downstream of the nad9 stop codon. The expression of the nad9 gene in plant mitochondria was studied. Polyclonal antibodies prepared against a wheat NAD9 fusion protein specifically recognise the 30-kDa subunit of bovine mitochondrial complex I and a 27.5-kDa protein in the membrane fractions of wheat, maize and common bean mitochondria, whereas the same serum recognizes a 30-kDa protein in the mitochondria of pea, chickpea and lentil.
Interrelationship between hypersensitivity to soybean proteins and growth performance in early-weaned pigs (1990)

One hundred twenty-five pigs were orally infused with 6 g/d of either dried skim milk, soybean meal (48% CP), soy protein concentrate, extruded soy protein concentrate, or experimental soy protein concentrate from 7 to 11 d of age and then fed a diet containing the corresponding protein sources from weaning (d 21) to 35 d of age. All pigs were fed a corn-soybean meal diet containing 10% dried whey, 1.25% lysine, and 3% soybean oil for the remaining 21 d of the experiment. Skin-fold thickness following intradermal injection of protein extracts, xylose absorption, and anti-soy immunoglobulin G (IgG) titers were measured on d 6 postweaning. A total of 25 pigs (five pigs/treatment) was euthanized on d 7 postweaning. Villus height and crypt depth from duodenum samples were measured. These measurements were obtained to elucidate a relationship between the hypersensitivity responses to soybean products and growth performance of baby pigs. Pigs fed diets containing soybean meal had a lower rate of gain (ADG), lower villus height, higher serum anti-soy IgG titers, and increased skin-fold thickness following intradermal injection compared to those fed dried skim milk. Pigs fed other soy proteins also had lower ADG from d 0 to 14 postweaning; however, pigs fed moist-extruded soy protein concentrate tended to have higher ADG and improved feed utilization when compared to those pigs fed soybean meal. Skin-fold thickness and antisoy IgG titers were negatively correlated with ADG at d 14 postweaning. Results indicate that a model including skin-fold thickness and anti-soy IgG titers provided a good estimate of nursery pig growth performance (R2=.33). Villus height was related to ADG at d 14 postweaning (R2=.40). A combination of skin-fold thickness, anti-soy IgG titers, xylose absorption, villus height, and crypt depth provided the best estimate of growth performance (R2=.65) for early-weaned pigs.; Swine Day, Manhattan, KS, November 15, 1990
Biologically inspired visual sensing and flight Control (2003)

Abstract There is increased interest in new classes of mini- and micro-UAVs with sizes ranging from one metre to ten centimetres. Many envisioned applications of such UAVs require them to be able to fly close to the ground in complex environments. The difficulties associated with flying in such environments coupled with the reduced payload capacity of such airframes means that new methods of sensing and control need to be considered. Good models for such methods are found in the world of flying insects. One particular visual cue used by insects is optic flow, which is the apparent visual motion seen by the insect as a result of its motion through the environment. This paper discusses several research efforts aimed at developing new sensing and control algorithms inspired by insect vision and flight behaviors. These efforts are part of DARPA's controlled biological and biomimetic systems (CBBS) programme. In these (and related) efforts, many elegant control stratagems have been discovered which suggest that simple reflexive schemes combined with the measurement of optic flow may be sufficient to provide many aspects of autonomous navigation in complex environments. Furthermore, these efforts are implementing these behaviors in real flying UAV platforms by using novel hardware and software to measure optic flow, and inserting optic flow measurements into a control loop using a combination of ‘best engineering approaches’ with inspiration taken from biology. This has resulted in fixed and rotary-wing mini-UAVs that are able to hold an altitude and perform terrain following.
Batch and fed-batch solid-state fermentations: kinetics of cell growth, hydrolytic enzymes production, and gibberellic acid production (1988)

Mesure des activites amylolytiques, cellulolytiques, xylanolytiques, proteolytiques et pectinolytiques. Etude de l'influence du substrat (glucose, amidon de mais ou son de ble) sur la production de gibberelline
Mandarin singing voice synthesis using ANN vibrato parameter models (2008)

In this paper, the vibrato parameters of sung syllables are analyzed by using short-time Fourier transform and the method of analytic signal. After the vibrato parameter values for all training syllables are obtained, they are used to train an artificial neural network (ANN) for each type of vibrato parameter. Then, these ANN models are used to generate the values of vibrato parameters. Next, these parameter values and other music information are used together to control a harmonic-plus-noise (HNM) model to synthesize singing voice signals. With the synthetic singing voice, subjective perception tests are conducted. The result show that the singing voice synthesized with the ANN generated vibrato parameters is apparently more natural than the singing voice synthesized with fixed vibrato parameters.
The interaction of diboron tetrachloride with ferrocene (1968)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTThe interaction of diboron tetrachloride with ferroceneJohn C. Kotz and Elroy W. PostCite this: J. Am. Chem. Soc. 1968, 90, 16, 4503–4504Publication Date (Print):July 1, 1968Publication History Published online1 May 2002Published inissue 1 July 1968https://pubs.acs.org/doi/10.1021/ja01018a084https://doi.org/10.1021/ja01018a084research-articleACS PublicationsRequest reuse permissionsArticle Views99Altmetric-Citations11LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose Get e-Alerts
Circulating carrier erythrocytes: Slow-release vehicle for an antileukemic drug, cytosine arabinoside (1982)

The human anti-cancer drug Cytosine arabinoside (ana-C) was encapsulated in canine erythrocytes. When these autologous carrier cells were injected into dogs, the drug was slowly released into plasma. Erythrocyte encapsulation increased the plasma half-life of ara-C in dogs about 50-fold over that of the injected free drug. The whole blood half-life of encapsulated drug was 4.6 days and the elimination constant was 0.150 day-1. Erythrocyte encapsulation holds promise as a drug-delivering technique for treatment of some human and animal diseases, particularly with drugs that are highly toxic or have normally short biological half-life. It also could be used to sustain given concentrations of drugs.
Pharmaceuticals, Personal Care Products and Endocrine Disrupting Agents in the Environment – A Review (2009)

Abstract In the last few years, concerns about the environmental fate and behavior of synthetic organic chemicals for hygienic use detected in waters have increased. Several of these compounds are used intensively, in large volumes, are persistent, bioactive and exhibit bioaccumulation and endocrine disrupting activity. Some pharmaceuticals, including analgesics, antibiotics, antiepilieptics, β‐blockers, blood‐lipid regulators and contraceptives also have the potential to determine various physiologic responses in aquatic organisms. Other compounds (natural hormones and several industrial and household chemicals) able to affect organisms in receiving waters are also endocrine disrupting agents. A lack of information still exists regarding the potential impact associated with the occurrence, fate and ecotoxicological effects of endocrine disruptors, including pharmaceuticals and personal care compounds in the environment since few compounds were inventoried or regulated worldwide. In some cases, there are no legal requirements to assess the impact of long‐term exposure to low concentration of these chemicals. This may be because important classes of these compounds have not been studied in detail up to now due to the non‐availability of suitable instrumental techniques or analytical standards for low concentration levels. Recently, the appearance of sophisticated tests for monitoring environmental contamination has revealed the presence of these types of contaminants at lower levels, down to nanograms per liter. This constitutes an important tool in the development of guidelines to monitor and/or update environmental compliance reports. The current survey aims to combine information from the literature on the environmental occurrence, fate and effects of personal care products and endocrine disrupting agents on the environment; as well as on the treatment options for their removal from wastewaters.
Sociaalwetenschappelijke kennis versnelt energietransitie (2015)

De energietransitie is voor een groot deel een sociale kwestie. “Toch moet je als sociaalwetenschapper vaak uitleggen waarom je je bezighoudt met technische innovatie” zegt Rob Raven, hoogleraar Institutions and Societal Transitions aan de Universiteit Utrecht. “Vreemd, want sociaalwetenschappelijke kennis kan de energietransitie aanmerkelijk versnellen.”