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Geometric and energetic features of halogenated rotamers of the following backbone structures, C-C, N-N, P-P, O-O, S-S, N-P, O-S, C-N, C-P, C-O, C-S, N-O, N-S, P-O and P-S from quantum chemical calculations are presented. The data set is considered to be comprehensive combinations of non-metal elements in the form abcx-ydef whereby a,b,c,d,e,f are halogen (fluorine to iodine), hydrogen or a lone pair and x,y are carbon, nitrogen, phosphorus, oxygen and sulfur. Preliminary work on all possible halogenation of methane, ammonia, phosphine, water and hydrogen sulfide are also included.
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This dataset contains cross-sectional and longitudinal tongue images and assessments obtained from 206 ALS patients and 104 age- and sex-matched controls that underwent high-resolution ultrasound (HRUS) and 3T MRI. In each image, the tongue is delineated in an additional region of interest (ROI) file provided for each of the coronal cross-sections acquired via HRUS and the midsagittal slices from the sagittal cerebral 3D-MPRAGE 3T MRI of the head. For these ROIs size and mean intensity markers are calculated. From the MRI images quantitative parameters for the shape and relative position of the tongue are derived. For each individual in the dataset these obtained markers are provided along with demographic and disease specific information in accompanying lists. The dataset can be combined with other data to increase statistical power or to extend the analysis with more advanced algorithms to implement and study additional markers for size, shape or texture of the tongue in ALS patients and controls.
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Manuscript title: Developing an experimental necrotic enteritis model in turkeys - the impact of Clostridium perfringens, Eimeria meleagrimitis and host age on frequency of severe intestinal lesions. Authors: Simon P. Hardy1+ (S.P.Hardy@brighton.ac.uk), Sylvie L. Benestad2+ (sylvie.benestad@vetinst.no), Inger Sofie Hamnes2 (inger.hamnes@vetinst.no), Torfinn Moldal2 (torfinn.moldal@vetinst.no), Bruce David3 (robert.bruce.david@nortura.no), John R. Barta4 (jbarta@uoguelph.ca), Jean-Michel Reperant5 (Jean-Michel.REPERANT@anses.fr), Magne Kaldhusdal2 * (magne.kaldhusdal@vetinst.no) Conclusions: This study represents a first and major step forward in the development of in vivo experimental models of necrotic enteritis in turkeys.
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This research paper presents data on the investigation conducted to assess the degree of awareness and proficiency gap amongst construction experts on construction 4.0, South West, Nigeria. Globally, knowledge and proficiency of workers are considered key factors for quality delivery of construction projects. The construction industry is enthusiastic about implementing the modern technologies of the fourth industrial revolution into their operations. Consequently, the implementation of these technologies necessitates assessing the level of awareness and proficiency gap of the experts towards building the needed capabilities in the workforce. Data were collected using survey research design. Convenience sampling technique was adopted to select the respondents. Quantitative method with the use of closed ended questionnaire was used to collect the data. Cronbach Alpha test was used to confirm the validity of the questionnaire, which proved that the instrument were reliable. Descriptive analyses were conducted to interpret and give further explanation of the data collected and this present opportunity for further analyses.
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Data accompanied with the paper "Reliability and Validity of the Turkish Version of the Health Professionals Communication Skills Scale (HP-CSS)". The sample consisted of 394 health professionals in Turkey.
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resources from the w.p. 'Uncertainty and stochastic theories on derivatives and risk valuation', by C. Alexander Grajales, Santiago Medina, 2020 * Matlab code * output data * paper figures
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This dataset is about a systematic review of unsupervised learning techniques for software defect prediction (our related paper: "A Systematic Review of Unsupervised Learning Techniques for Software Defect Prediction" in Information and Software Technology [accepted in Feb, 2020] ). We conducted this systematic literature review that identified 49 studies which satisfied our inclusion criteria containing 2456 individual experimental results. In order to compare prediction performance across these studies in a consistent way, we recomputed the confusion matrices and employed MCC as our main performance measure. From each paper we extracted: Title, Year, Journal/conference, 'Predatory' publisher? (Y | N), Count of results reported in paper, Count of inconsistent results reported in paper, Parameter tuning in SDP? (Yes | Default | ?) and SDP references(SDPRefs OrigResults | SDPRefs |SDPNoRefs | OnlyUnSDP). Then from within each paper, we extracted for each experimental result including: Prediction method name (e.g., DTJ48), Project name trained on (e.g., PC4), Project name tested on (e.g., PC4), Prediction type (within-project | cross-project), No. of input metrics (count | NA), Dataset family (e.g., NASA), Dateset fault rate (%), Was cross validation used? (Y | N | ?), Was error checking possible? (Y | N), Inconsistent results? (Y | N | ?), Error reason description (text), Learning type (Supervised | Unsupervised), Clustering method? (Y | N | NA), Machine learning family (e.g., Un-NN), Machine learning technique (e.g., KM), Prediction results (including TP, TN, FP, FN, etc.).
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Individual data
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A. 64 yowf with nodular and micronodular BCC on back. Treated with vismodegib 150mg Mon-Fri with tumor shrinkage to 23 by 7cm after a six month course and treated subsequently with a radical resection and removal of T2-L1 spinous processes. Pt remains disease free after 52 months of treatment and surgery B. 63 yowf with infiltrative BCC arising in venous stasis ulcer on right foot. Treated with vismodegib 150mg/day for three months then was stopped by patient due to muscle cramps. Clinically no evidence of disease at 36 months after stopping vismodegib.
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Results of EMD-based Nonstationary Frequency Analysis over South Korea with Climate Indices for different lags
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