scholarly journals Study on Discovery Method of Cooperative Research Team Based on Improved Louvain Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Dianting Liu ◽  
Kangzheng Huang ◽  
Chenguang Zhang ◽  
Danling Wu ◽  
Shan Wu
Keyword(s):  
Phase 1 ◽  
Phase 2 ◽  
Cooperative Research ◽  
Research Teams ◽  
Core Node ◽  
Scientific Research Project ◽  
Cooperative Team ◽  
Discovery Method ◽  
Local Topology ◽  
Better Than

According to the needs of scientific research project research and development, the research of cooperative team excavation methods was carried out. Aiming at the current difficulties in accurately and reliably defining and identifying cooperative research teams from co-author network, an improved Louvain algorithm that integrates core node recognition was proposed: Louvain-LSCR algorithm. Based on the analysis of the Louvain algorithm, considering the local topology of the node in the network and the communication range of the node, a new algorithm LSCR for core node identification was constructed. The LSCR algorithm and Louvain algorithm were merged to obtain a new and improved algorithm, Louvain-LSCR. In this algorithm, the leaf nodes in phase 1 of Louvain algorithm were first pruned to reduce calculations; then, seed nodes were selected according to the LSCR algorithm in phase 2. The experimental results on related datasets show that LSCR algorithm has certain advantages in identifying core nodes. The modularity of Louvian-LSCR algorithm is better than other algorithms, and the community structure is more reasonable. It was verified that the algorithm can mine potential cooperative research teams in co-author network.

Model Status as a Determinant of Observational Learning and Performance

1986 ◽  
Vol 8 (4) ◽  
pp. 319-331 ◽  
Author(s):  
Penny McCullagh
Keyword(s):  
Observational Learning ◽  
Test Performance ◽  
Phase 1 ◽  
Observer Performance ◽  
Group Differences ◽  
High Status ◽  
Phase 2 ◽  
Actual Amount ◽  
And Performance ◽  
Better Than

The primary purpose of this experiment was to determine if model characteristics influence observer performance by exerting their prime influence on the attentional phase of observational learning as predicted by Bandura (1969). A second purpose was to determine whether model characteristics affected actual amount learned or whether merely performance levels were affected by this manipulation. There were two experimental phases. During phase 1, model status (high or low) and time of cueing (pre or post demonstration) were manipulated to test performance and attentional effects of model characteristics. During phase 2, subjects were offered an incentive before performance trials in an attempt to make a learning-versus-performance distinction. Phase 1 results indicated the subjects who viewed a high status model performed better than those viewing a low status model. The lack of any significant cueing effect suggested that model characteristics did not exert their prime influence on the attentional stage of observational learning. There were no group differences during phase 2, suggesting that performance but not actual amount learned was affected by the model status manipulation.

Rationalization and internalization

2001 ◽  
Vol 60 (4) ◽  
pp. 215-230 ◽  
Author(s):  
Jean-Léon Beauvois
Keyword(s):  
Phase 1 ◽  
Facilitatory Effect ◽  
Phase 2 ◽  
Causal Explanations ◽  
Reduction Effect ◽  
Dissonance Reduction

After having been told they were free to accept or refuse, pupils aged 6–7 and 10–11 (tested individually) were led to agree to taste a soup that looked disgusting (phase 1: initial counter-motivational obligation). Before tasting the soup, they had to state what they thought about it. A week later, they were asked whether they wanted to try out some new needles that had supposedly been invented to make vaccinations less painful. Agreement or refusal to try was noted, along with the size of the needle chosen in case of agreement (phase 2: act generalization). The main findings included (1) a strong dissonance reduction effect in phase 1, especially for the younger children (rationalization), (2) a generalization effect in phase 2 (foot-in-the-door effect), and (3) a facilitatory effect on generalization of internal causal explanations about the initial agreement. The results are discussed in relation to the distinction between rationalization and internalization.

PENERAPAN MODEL QUANTUM LEARNING UNTUK MENINGKATKAN HASIL BELAJAR AUTOCAD SISWA KELAS X TEKNIK PEMESINAN SMK NEGERI 1 STABAT

2013 ◽  
Vol 5 (1) ◽  
Author(s):  
Abdul Hasan Saragih
Keyword(s):  
Positive Response ◽  
Phase 1 ◽  
First Grade ◽  
Learning Model ◽  
Second Phase ◽  
Phase 2 ◽  
Phase 3 ◽  
The Third ◽  
Third Phase ◽  
Quantum Learning

This classroom research was conducted on the autocad instructions to the first grade of mechinary class of SMK Negeri 1 Stabat aiming at : (1) improving the student’ archievementon autocad instructional to the student of mechinary architecture class of SMK Negeri 1 Stabat, (2) applying Quantum Learning Model to the students of mechinary class of SMK Negeri 1 Stabat, arising the positive response to autocad subject by applying Quantum Learning Model of the students of mechinary class of SMK Negeri 1 Stabat. The result shows that (1) by applying quantum learning model, the students’ achievement improves significantly. The improvement ofthe achievement of the 34 students is very satisfactory; on the first phase, 27 students passed (70.59%), 10 students failed (29.41%). On the second phase 27 students (79.41%) passed and 7 students (20.59%) failed. On the third phase 30 students (88.24%) passed and 4 students (11.76%) failed. The application of quantum learning model in SMK Negeri 1 Stabat proved satisfying. This was visible from the activeness of the students from phase 1 to 3. The activeness average of the students was 74.31% on phase 1,81.35% on phase 2, and 83.63% on phase 3. (3) The application of the quantum learning model on teaching autocad was very positively welcome by the students of mechinary class of SMK Negeri 1 Stabat. On phase 1 the improvement was 81.53% . It improved to 86.15% on phase 3. Therefore, The improvement ofstudent’ response can be categorized good.

In situ deteriorating patient simulation in general practice

2020 ◽  
Vol 70 (suppl 1) ◽  
pp. bjgp20X711425
Author(s):  
Joanna Lawrence ◽  
Petronelle Eastwick-Field ◽  
Anne Maloney ◽  
Helen Higham
Keyword(s):  
Life Support ◽  
Early Recognition ◽  
Phase 1 ◽  
Patient Simulation ◽  
Medical Emergency ◽  
Phase 2 ◽  
Action Plans ◽  
Integrated Simulation ◽  
Deteriorating Patient

BackgroundGP practices have limited access to medical emergency training and basic life support is often taught out of context as a skills-based event.AimTo develop and evaluate a whole team integrated simulation-based education, to enhance learning, change behaviours and provide safer care.MethodPhase 1: 10 practices piloted a 3-hour programme delivering 40 minutes BLS and AED skills and 2-hour deteriorating patient simulation. Three scenarios where developed: adult chest pain, child anaphylaxis and baby bronchiolitis. An adult simulation patient and relative were used and a child and baby manikin. Two facilitators trained in coaching and debriefing used the 3D debriefing model. Phase 2: 12 new practices undertook identical training derived from Phase 1, with pre- and post-course questionnaires. Teams were scored on: team working, communication, early recognition and systematic approach. The team developed action plans derived from their learning to inform future response. Ten of the 12 practices from Phase 2 received an emergency drill within 6 months of the original session. Three to four members of the whole team integrated training, attended the drill, but were unaware of the nature of the scenario before. Scoring was repeated and action plans were revisited to determine behaviour changes.ResultsEvery emergency drill demonstrated improved scoring in skills and behaviour.ConclusionA combination of: in situ GP simulation, appropriately qualified facilitators in simulation and debriefing, and action plans developed by the whole team suggests safer care for patients experiencing a medical emergency.

Clinical Drug Development for the Treatment of Pulmonary Arterial Hypertension: Collaboration With the Pharmaceutical Industry and Regulatory Agencies

2010 ◽  
Vol 9 (4) ◽  
pp. 214-219
Author(s):  
Robyn J. Barst
Keyword(s):  
Clinical Trials ◽  
Pulmonary Arterial Hypertension ◽  
Drug Development ◽  
Phase 1 ◽  
Preclinical Studies ◽  
Phase 2 ◽  
Phase 3 ◽  
Preclinical Testing ◽  
New Drug ◽  
Pulmonary Arterial

Drug development is the entire process of introducing a new drug to the market. It involves drug discovery, screening, preclinical testing, an Investigational New Drug (IND) application in the US or a Clinical Trial Application (CTA) in the EU, phase 1–3 clinical trials, a New Drug Application (NDA), Food and Drug Administration (FDA) review and approval, and postapproval studies required for continuing safety evaluation. Preclinical testing assesses safety and biologic activity, phase 1 determines safety and dosage, phase 2 evaluates efficacy and side effects, and phase 3 confirms efficacy and monitors adverse effects in a larger number of patients. Postapproval studies provide additional postmarketing data. On average, it takes 15 years from preclinical studies to regulatory approval by the FDA: about 3.5–6.5 years for preclinical, 1–1.5 years for phase 1, 2 years for phase 2, 3–3.5 years for phase 3, and 1.5–2.5 years for filing the NDA and completing the FDA review process. Of approximately 5000 compounds evaluated in preclinical studies, about 5 compounds enter clinical trials, and 1 compound is approved (Tufts Center for the Study of Drug Development, 2011). Most drug development programs include approximately 35–40 phase 1 studies, 15 phase 2 studies, and 3–5 pivotal trials with more than 5000 patients enrolled. Thus, to produce safe and effective drugs in a regulated environment is a highly complex process. Against this backdrop, what is the best way to develop drugs for pulmonary arterial hypertension (PAH), an orphan disease often rapidly fatal within several years of diagnosis and in which spontaneous regression does not occur?

scholarly journals A phase 1 and randomized controlled phase 2 trial of the safety and efficacy of the combination of gemcitabine and docetaxel with ontuxizumab (MORAb‐004) in metastatic soft‐tissue sarcomas

Cancer ◽  
2019 ◽  
Vol 125 (14) ◽  
pp. 2445-2454 ◽  
Author(s):  
Robin L. Jones ◽  
Sant P. Chawla ◽  
Steven Attia ◽  
Patrick Schöffski ◽  
Hans Gelderblom ◽  
...  
Keyword(s):  
Soft Tissue ◽  
Phase 1 ◽  
Soft Tissue Sarcomas ◽  
Phase 2 ◽  
Safety And Efficacy ◽  
Randomized Controlled ◽  
Phase 2 Trial

scholarly journals Quantitative Checklist for Autism in Toddlers (Q-CHAT). A population screening study with follow-up: the case for multiple time-point screening for autism

2021 ◽  
Vol 5 (1) ◽  
pp. e000700
Author(s):  
Carrie Allison ◽  
Fiona E Matthews ◽  
Liliana Ruta ◽  
Greg Pasco ◽  
Renee Soufer ◽  
...  
Keyword(s):  
Phase 1 ◽  
Autism Spectrum ◽  
Population Screening ◽  
Diagnostic Assessment ◽  
Test Accuracy ◽  
Multiple Time ◽  
Phase 2 ◽  
Time Points ◽  
Screening Study

ObjectiveThis is a prospective population screening study for autism in toddlers aged 18–30 months old using the Quantitative Checklist for Autism in Toddlers (Q-CHAT), with follow-up at age 4.DesignObservational study.SettingLuton, Bedfordshire and Cambridgeshire in the UK.Participants13 070 toddlers registered on the Child Health Surveillance Database between March 2008 and April 2009, with follow-up at age 4; 3770 (29%) were screened for autism at 18–30 months using the Q-CHAT and the Childhood Autism Spectrum Test (CAST) at follow-up at age 4.InterventionsA stratified sample across the Q-CHAT score distribution was invited for diagnostic assessment (phase 1). The 4-year follow-up included the CAST and the Checklist for Referral (CFR). All with CAST ≥15, phase 1 diagnostic assessment or with developmental concerns on the CFR were invited for diagnostic assessment (phase 2). Standardised diagnostic assessment at both time-points was conducted to establish the test accuracy of the Q-CHAT.Main outcome measuresConsensus diagnostic outcome at phase 1 and phase 2.ResultsAt phase 1, 3770 Q-CHATs were returned (29% response) and 121 undertook diagnostic assessment, of whom 11 met the criteria for autism. All 11 screened positive on the Q-CHAT. The positive predictive value (PPV) at a cut-point of 39 was 17% (95% CI 8% to 31%). At phase 2, 2005 of 3472 CASTs and CFRs were returned (58% response). 159 underwent diagnostic assessment, including 82 assessed in phase 1. All children meeting the criteria for autism identified via the Q-CHAT at phase 1 also met the criteria at phase 2. The PPV was 28% (95% CI 15% to 46%) after phase 1 and phase 2.ConclusionsThe Q-CHAT can be used at 18–30 months to identify autism and enable accelerated referral for diagnostic assessment. The low PPV suggests that for every true positive there would, however, be ~4–5 false positives. At follow-up, new cases were identified, illustrating the need for continued surveillance and rescreening at multiple time-points using developmentally sensitive instruments. Not all children who later receive a diagnosis of autism are detectable during the toddler period.

scholarly journals Evaluation of health system readiness and coverage of intermittent preventive treatment of malaria in infants (IPTi) in Kambia district to inform national scale-up in Sierra Leone

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Maria Lahuerta ◽  
Roberta Sutton ◽  
Anthony Mansaray ◽  
Oliver Eleeza ◽  
Brigette Gleason ◽  
...  
Keyword(s):  
Sierra Leone ◽  
Phase 1 ◽  
Scale Up ◽  
Intermittent Preventive Treatment ◽  
Vaccine Dose ◽  
Preventive Treatment ◽  
Household Survey ◽  
Register Data ◽  
Phase 2 ◽  
Pentavalent Vaccine

Abstract Background Intermittent preventive treatment of malaria in infants (IPTi) with sulfadoxine-pyrimethamine (SP) is a proven strategy to protect infants against malaria. Sierra Leone is the first country to implement IPTi nationwide. IPTi implementation was evaluated in Kambia, one of two initial pilot districts, to assess quality and coverage of IPTi services. Methods This mixed-methods evaluation had two phases, conducted 3 (phase 1) and 15–17 months (phase 2) after IPTi implementation. Methods included: assessments of 18 health facilities (HF), including register data abstraction (phases 1 and 2); a knowledge, attitudes and practices survey with 20 health workers (HWs) in phase 1; second-generation sequencing of SP resistance markers (pre-IPTi and phase 2); and a cluster-sample household survey among caregivers of children aged 3–15 months (phase 2). IPTi and vaccination coverage from the household survey were calculated from child health cards and maternal recall and weighted for the complex sampling design. Interrupted time series analysis using a Poisson regression model was used to assess changes in malaria cases at HF before and after IPTi implementation. Results Most HWs (19/20) interviewed had been trained on IPTi; 16/19 reported feeling well prepared to administer it. Nearly all HFs (17/18 in phase 1; 18/18 in phase 2) had SP for IPTi in stock. The proportion of parasite alleles with dhps K540E mutations increased but remained below the 50% WHO-recommended threshold for IPTi (4.1% pre-IPTi [95%CI 2–7%]; 11% post-IPTi [95%CI 8–15%], p < 0.01). From the household survey, 299/459 (67.4%) children ≥ 10 weeks old received the first dose of IPTi (versus 80.4% for second pentavalent vaccine, given simultaneously); 274/444 (62.5%) children ≥ 14 weeks old received the second IPTi dose (versus 65.4% for third pentavalent vaccine); and 83/217 (36.4%) children ≥ 9 months old received the third IPTi dose (versus 52.2% for first measles vaccine dose). HF register data indicated no change in confirmed malaria cases among infants after IPTi implementation. Conclusions Kambia district was able to scale up IPTi swiftly and provide necessary health systems support. The gaps between IPTi and childhood vaccine coverage need to be further investigated and addressed to optimize the success of the national IPTi programme.

Monte-Carlo interpretation of the JANUS Phase 1, Phase 2 and Phase 4 shielding experiments with TRIPOLI-4®

2021 ◽  
Vol 159 ◽  
pp. 108333
Author(s):  
Amine Hajji ◽  
Christine Coquelet-Pascal ◽  
Patrick Blaise
Keyword(s):  
Monte Carlo ◽  
Phase 1 ◽  
Phase 2

scholarly journals PSVI-3 Dietary supplementation with coated omega-3 fatty acids has positive effects on growth performance and nutrients digestibility in weaned pigs

2020 ◽  
Vol 98 (Supplement_3) ◽  
pp. 196-197
Author(s):  
Woo Jung Seok ◽  
Je min Ahn ◽  
Jing Hu ◽  
Dexin Dang ◽  
Yanjiao Li ◽  
...  
Keyword(s):  
Fatty Acids ◽  
Growth Performance ◽  
Phase 1 ◽  
Dietary Supplementation ◽  
Basal Diet ◽  
Phase 2 ◽  
Omega 3 ◽  
Phase 3 ◽  
Linear Effect ◽  
Weaning Pigs

Abstract The objective of this study was to evaluate the effects of dietary supplementation of coated omega-3 fatty acid (n-3 CFA) by corn cob power silica on performance of weaning pigs. A total of 200 weaned pigs [(Landrace x Yorkshire) x Duroc, average initial body weight at 6.97 ± 1.22 kg] were randomly assigned to four experimental treatments in a 6-week experiment in 3 phases as follows: CON, basal diet; 2) 0.3CFA, CON + phase 1(0.3% n-3CFA), phase 2(0.2% n-3CFA), phase 3(0.1% n-3CFA); 3) 0.6CFA, CON + phase 1(0.6% n-3CFA), phase 2(0.4% n-3CFA), phase 3(0.2% n-3CFA); 4) 0.9CFA, CON + phase 1(0.9% n-3CFA), phase 2(0.6% n-3CFA), phase 3 (0.3% n-3CFA). Each treatment had 10 replicates with 5 pigs (three gilts and two barrows) per replicate. The data were analyzed using the GLM procedure of SAS as a randomized complete block design. Pen served as the experimental unit. Linear, quadratic and cubic polynomial contrasts were used to examine effect of dietary treatment with coated n-3FA in the basal diet. Variability in the data was expressed as the standard error of means and P&lt; 0.05 was considered to statistically significant. Increasing the level of n-3CFA in the diet linearly increased ADG and G/F of pigs (Table 1). Increasing the level of n-3CFA showed a linear increment in the digestibility of DM (83.59, 84.38, 85.13, 85.89 %) whereas nitrogen digestibility (81.79, 82.38, 82.96, 83.64 %) showed a trend (linear effect, p=0.0594) at the end of experiment. The fecal lactobacillus count was increased (7.22, 7.27, 7.33, 7.35 log10cfu/g) with the increase in the supplemental level of n-3CFA (linear effect; p&lt; 0.05). However, there were no differences in the concentration of serum haptoglobin, or fecal E. coli, Clostridium and Salmonella counts despite the increase in n-3CFA levels in the diet. Supplementation of the diet with coated n-3 fatty acids positively affected growth performance and digestibility of dry matter and nitrogen, and enhanced the count of lactobacillus in weaning pigs.

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