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https://www.readbyqxmd.com/read/29346406/shea-vitellaria-paradoxa-gaertn-c-f-fruit-yield-assessment-and-management-by-farm-households-in-the-atacora-district-of-benin
#1
Koutchoukalo Aleza, Grace B Villamor, Benjamin Kofi Nyarko, Kperkouma Wala, Koffi Akpagana
Vitellaria paradoxa (Gaertn C. F.), or shea tree, remains one of the most valuable trees for farmers in the Atacora district of northern Benin, where rural communities depend on shea products for both food and income. To optimize productivity and management of shea agroforestry systems, or "parklands," accurate and up-to-date data are needed. For this purpose, we monitored120 fruiting shea trees for two years under three land-use scenarios and different soil groups in Atacora, coupled with a farm household survey to elicit information on decision making and management practices...
2018: PloS One
https://www.readbyqxmd.com/read/29343727/predcrp-predicting-and-analysing-the-regulatory-roles-of-crp-from-its-binding-sites-in-escherichia-coli
#2
Ming-Ju Tsai, Jyun-Rong Wang, Chi-Dung Yang, Kuo-Ching Kao, Wen-Lin Huang, Hsi-Yuan Huang, Ching-Ping Tseng, Hsien-Da Huang, Shinn-Ying Ho
Cyclic AMP receptor protein (CRP), a global regulator in Escherichia coli, regulates more than 180 genes via two roles: activation and repression. Few methods are available for predicting the regulatory roles from the binding sites of transcription factors. This work proposes an accurate method PredCRP to derive an optimised model (named PredCRP-model) and a set of four interpretable rules (named PredCRP-ruleset) for predicting and analysing the regulatory roles of CRP from sequences of CRP-binding sites. A dataset consisting of 169 CRP-binding sites with regulatory roles strongly supported by evidence was compiled...
January 17, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29342870/biomarkers-of-progression-after-hiv-acute-early-infection-nothing-compares-to-cd4%C3%A2-%C2%BA-t-cell-count
#3
Gabriela Turk, Yanina Ghiglione, Macarena Hormanstorfer, Natalia Laufer, Romina Coloccini, Jimena Salido, César Trifone, María Julia Ruiz, Juliana Falivene, María Pía Holgado, María Paula Caruso, María Inés Figueroa, Horacio Salomón, Luis D Giavedoni, María de Los Ángeles Pando, María Magdalena Gherardi, Roberto Daniel Rabinovich, Pedro A Pury, Omar Sued
Progression of HIV infection is variable among individuals, and definition disease progression biomarkers is still needed. Here, we aimed to categorize the predictive potential of several variables using feature selection methods and decision trees. A total of seventy-five treatment-naïve subjects were enrolled during acute/early HIV infection. CD4⁺ T-cell counts (CD4TC) and viral load (VL) levels were determined at enrollment and for one year. Immune activation, HIV-specific immune response, Human Leukocyte Antigen (HLA) and C-C chemokine receptor type 5 (CCR5) genotypes, and plasma levels of 39 cytokines were determined...
January 13, 2018: Viruses
https://www.readbyqxmd.com/read/29337843/evaluation-of-a-decision-tree-for-efficient-antenatal-red-blood-cell-antibody-screening
#4
Isabelle le Ray, Brian Lee, Agneta Wikman, Marie Reilly
BACKGROUND: Hemolytic disease of the fetus and newborn due to maternal red blood cell alloimmunization can have serious consequences. Since early detection enables careful monitoring of affected pregnancies, programs to routinely screen all pregnant women have been widely adopted. Due to the low prevalence of alloimmunization, these require large investments of resources to detect a small number of cases. METHODS: We conducted a validation study of a decision tree developed in the Netherlands for determining whether to screen for alloimmunization...
January 15, 2018: Epidemiology
https://www.readbyqxmd.com/read/29337192/combining-machine-learning-models-of-in-vitro-and-in-vivo-bioassays-improves-rat-carcinogenicity-prediction
#5
Davy Guan, Kevin Fan, Ian Spence, Slade Matthews
In vitro genotoxicity bioassays are cost-efficient methods of assessing potential carcinogens. However, many genotoxicity bioassays are inappropriate for detecting chemicals eliciting non-genotoxic mechanisms, such as tumour promotion, this necessitates the use of in vivo rodent carcinogenicity (IVRC) assays. In silico IVRC modelling could potentially address the low throughput and high cost of this assay. We aimed to develop and combine computational QSAR models of novel bioassays for the prediction of IVRC results and compare with existing software...
January 11, 2018: Regulatory Toxicology and Pharmacology: RTP
https://www.readbyqxmd.com/read/29336255/fast-screening-technology-for-drug-emergency-management-predicting-suspicious-snps-for-adr-with-information-theory-based-models
#6
Zhaohui Liang, Jun Liu, Jimmy Xiangji Huang, Xing Zeng
OBJECTIVE: The genetic polymorphism of Cytochrome P450 (CYP 450) is considered as one of the main causes for adverse drug reactions (ADRs). In order to explore the latent correlations between ADRs and potentially corresponding single-nucleotide polymorphism (SNPs) in CYP450, three algorithms based on information theory are used as the main method to predict the possible relation. METHODS: The study uses a retrospective case-control study to explore the potential relation of ADRs to specific genomic locations and single-nucleotide polymorphism (SNP)...
January 14, 2018: Combinatorial Chemistry & High Throughput Screening
https://www.readbyqxmd.com/read/29334889/protein-protein-interface-hot-spots-prediction-based-on-a-hybrid-feature-selection-strategy
#7
Yanhua Qiao, Yi Xiong, Hongyun Gao, Xiaolei Zhu, Peng Chen
BACKGROUND: Hot spots are interface residues that contribute most binding affinity to protein-protein interaction. A compact and relevant feature subset is important for building machine learning methods to predict hot spots on protein-protein interfaces. Although different methods have been used to detect the relevant feature subset from a variety of features related to interface residues, it is still a challenge to detect the optimal feature subset for building the final model. RESULTS: In this study, three different feature selection methods were compared to propose a new hybrid feature selection strategy...
January 15, 2018: BMC Bioinformatics
https://www.readbyqxmd.com/read/29333863/principles-of-vaccine-potency-assays
#8
Thorsten Verch, Jeremiah J Trausch, Mary Shank-Retzlaff
Compared with biologics, vaccine potency assays represent a special challenge due to their unique compositions, multivalency, long life cycles and global distribution. Historically, vaccines were released using in vivo potency assays requiring immunization of dozens of animals. Modern vaccines use a variety of newer analytical tools including biochemical, cell-based and immunochemical methods to measure potency. The choice of analytics largely depends on the mechanism of action and ability to ensure lot-to-lot consistency...
January 15, 2018: Bioanalysis
https://www.readbyqxmd.com/read/29332020/predictors-of-improvements-in-mental-health-from-mindfulness-meditation-in-stressed-older-adults
#9
Barry S Oken, Elena Goodrich, Daniel Klee, Tabatha Memmott, Jeffrey Proulx
Context • The benefits of a mindfulness meditation (MM) intervention are most often evidenced by improvements in self-rated stress and mental health. Given the physiological complexity of the psychological stress system, it is likely that some people benefit significantly, whereas others do not. Clinicians and researchers could benefit from further exploration to determine which baseline factors can predict clinically significant improvements from MM. Objectives • The study intended to determine (1) whether the baseline measures for participants who significantly benefitted from MM training were different from the baseline measures of participants who did not, and (2) whether a classification analysis using a decision-tree, machine-learning approach could be useful in predicting which individuals would be most likely to improve...
January 2018: Alternative Therapies in Health and Medicine
https://www.readbyqxmd.com/read/29331253/evaluation-of-three-machine-learning-models-for-self-referral-decision-support-on-low-back-pain-in-primary-care
#10
Wendy Oude Nijeweme-d'Hollosy, Lex van Velsen, Mannes Poel, Catharina G M Groothuis-Oudshoorn, Remko Soer, Hermie Hermens
BACKGROUND: Most people experience low back pain (LBP) at least once in their life and for some patients this evolves into a chronic condition. One way to prevent acute LBP from transiting into chronic LBP, is to ensure that patients receive the right interventions at the right moment. We started research in the design of a clinical decision support system (CDSS) to support patients with LBP in their self-referral to primary care. For this, we explored the possibilities of using supervised machine learning...
February 2018: International Journal of Medical Informatics
https://www.readbyqxmd.com/read/29329701/automatic-information-extraction-from-unstructured-mammography-reports-using-distributed-semantics
#11
Anupama Gupta, Imon Banerjee, Daniel L Rubin
To date, the methods developed for automated extraction of information from radiology reports are mainly rule-based or dictionary-based, and, therefore, require substantial manual effort to build these systems. Recent efforts to develop automated systems for entity detection have been undertaken, but little work has been done to automatically extract relations and their associated named entities in narrative radiology reports that have comparable accuracy to rule-based methods. Our goal is to extract relations in a unsupervised way from radiology reports without specifying prior domain knowledge...
January 9, 2018: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/29325825/-thromboembolic-disease-in-pediatric-oncology
#12
A Theron, C Biron-Andreani, S Haouy, L Saumet, M Saguintah, E Jeziorski, N Sirvent
The survival rate of children with cancer is now close to 80 %, as a result of continuous improvement in diagnostic and treatment procedures. Prevention and treatment of treatment-associated complications is now a major challenge. Thromboembolic venous disease, due to multifactorial pathogenesis, is a frequent complication (up to 40 % asymptomatic thrombosis in children with cancer), responsible for significant morbidity. Predominantly in children with acute lymphoblastic leukemia, lymphoma, or sarcoma, thromboembolic disease justifies primary prophylaxis in certain populations at risk, whether genetic or environmental...
January 8, 2018: Archives de Pédiatrie: Organe Officiel de la Sociéte Française de Pédiatrie
https://www.readbyqxmd.com/read/29324935/right-putamen-and-age-are-the-most-discriminant-features-to-diagnose-parkinson-s-disease-by-using-123i-fp-cit-brain-spet-data-by-using-an-artificial-neural-network-classifier-a-classification-tree-clt
#13
S Cascianelli, C Tranfaglia, M L Fravolini, F Bianconi, M Minestrini, S Nuvoli, N Tambasco, M E Dottorini, B Palumbo
OBJECTIVE: The differential diagnosis of Parkinson's disease (PD) and other conditions, such as essential tremor and drug-induced parkinsonian syndrome or normal aging brain, represents a diagnostic challenge. 123I-FP-CIT brain SPET is able to contribute to the differential diagnosis. Semiquantitative analysis of radiopharmaceutical uptake in basal ganglia (caudate nuclei and putamina) is very useful to support the diagnostic process. An artificial neural network classifier using 123I-FP-CIT brain SPET data, a classification tree (CIT), was applied...
September 2017: Hellenic Journal of Nuclear Medicine
https://www.readbyqxmd.com/read/29324837/health-economic-assessment-of-gd-eob-dtpa-mri-versus-eccm-mri-and-multi-detector-ct-for-diagnosis-of-hepatocellular-carcinoma-in-china
#14
Xiaoning He, Jing Wu, Anke-Peggy Holtorf, Harald Rinde, Shuangshuang Xie, Wen Shen, Jiancun Hou, Xuehua Li, Ziping Li, Jiaming Lai, Yuting Wang, Lin Zhang, Jian Wang, Xuesong Li, Kuansheng Ma, Feng Ye, Han Ouyang, Hong Zhao
Limited data exists in China on the comparative cost of gadolinium ethoxybenzyl diethylenetriamine magnetic resonance imaging (Gd-EOB-DTPA-MRI) with other imaging techniques. This study compared the total cost of Gd-EOB-DTPA-MRI with multidetector computed tomography (MDCT) and extracellular contrast media-enhanced MRI (ECCM-MRI) as initial imaging procedures in patients with suspected hepatocellular carcinoma (HCC). We developed a decision-tree model on the basis of the Chinese clinical guidelines for HCC, which was validated by clinical experts from China...
2018: PloS One
https://www.readbyqxmd.com/read/29319797/an-in-silico-comparison-of-protocols-for-dated-phylogenomics
#15
Rupert A Collins, Tomas Hrbek
In the age of genome-scale DNA sequencing, choice of molecular marker arguably remains an important decision in planning a phylogenetic study. Using published genomes from 23 primate species, we make a standardized comparison of four of the most frequently used protocols in phylogenomics, viz., targeted sequence-enrichment using ultraconserved element and exon-capture probes, and restriction-site-associated DNA sequencing (RADseq and ddRADseq). Here, we present a procedure to perform in silico extractions from genomes and create directly comparable data sets for each class of marker...
January 8, 2018: Systematic Biology
https://www.readbyqxmd.com/read/29318836/-study-of-extracting-peucedanum-praeruptorum-planted-area-in-ningguo-of-anhui-province-based-on-multi-source-and-multi-phase-image
#16
Ting-Ting Shi, Xiao-Bo Zhang, Ke Zhang, Lan-Ping Guo, Lu-Qi Huang
The herbs used as the material for traditional Chinese medicine are always planted in the mountainous area where the natural environment is suitable. As the mountain terrain is complex and the distribution of planting plots is scattered, the traditional survey method is difficult to obtain accurate planting area. It is of great significance to provide decision support for the conservation and utilization of traditional Chinese medicine resources by studying the method of extraction of Chinese herbal medicine planting area based on remote sensing and realizing the dynamic monitoring and reserve estimation of Chinese herbal medicines...
November 2017: Zhongguo Zhong Yao za Zhi, Zhongguo Zhongyao Zazhi, China Journal of Chinese Materia Medica
https://www.readbyqxmd.com/read/29318835/-study-on-extraction-method-of-panax-notoginseng-plots-in-wenshan-of-yunnan-province-based-on-decision-tree-model
#17
Ting-Ting Shi, Xiao-Bo Zhang, Lan-Ping Guo, Lu-Qi Huang
The herbs used as the material for traditional Chinese medicine are always planted in the mountainous area where the natural environment is suitable. As the mountain terrain is complex and the distribution of planting plots is scattered, the traditional survey method is difficult to obtain accurate planting area. It is of great significance to provide decision support for the conservation and utilization of traditional Chinese medicine resources by studying the method of extraction of Chinese herbal medicine planting area based on remote sensing and realizing the dynamic monitoring and reserve estimation of Chinese herbal medicines...
November 2017: Zhongguo Zhong Yao za Zhi, Zhongguo Zhongyao Zazhi, China Journal of Chinese Materia Medica
https://www.readbyqxmd.com/read/29318817/-application-of-image-recognition-technology-in-census-of-national-traditional-chinese-medicine-resources
#18
Xiao-Bo Zhang, Xiao-Guang Ge, Yan Jin, Ting-Ting Shi, Hui Wang, Meng Li, Zhi-Xian Jing, Lan-Ping Guo, Lu-Qi Huang
With the development of computer and image processing technology, image recognition technology has been applied to the national medicine resources census work at all stages.Among them: ①In the preparatory work, in order to establish a unified library of traditional Chinese medicine resources, using text recognition technology based on paper materials, be the assistant in the digitalization of various categories related to Chinese medicine resources; to determine the representative area and plots of the survey from each census team, based on the satellite remote sensing image and vegetation map and other basic data, using remote sensing image classification and other technical methods to assist in determining the key investigation area...
November 2017: Zhongguo Zhong Yao za Zhi, Zhongguo Zhongyao Zazhi, China Journal of Chinese Materia Medica
https://www.readbyqxmd.com/read/29318172/clinical-factors-that-predict-a-second-acl-injury-after-acl-reconstruction-and-return-to-sport-preliminary-development-of-a-clinical-decision-algorithm
#19
Mark V Paterno, Bin Huang, Staci Thomas, Timothy E Hewett, Laura C Schmitt
Background: Biomechanical predictors of a second anterior cruciate ligament (ACL) injury after ACL reconstruction (ACLR) and return to sport (RTS) have been identified; however, these measures may not be feasible in a standard clinical environment. Purpose/Hypothesis: The purpose of this study was to evaluate whether standard clinical measures predicted the risk of second ACL injuries. The hypothesis tested was that a combination of strength, function, and patient-reported measures at the time of RTS would predict the risk of second ACL injuries with high sensitivity and specificity...
December 2017: Orthopaedic Journal of Sports Medicine
https://www.readbyqxmd.com/read/29316820/cost-effectiveness-of-access-to-critical-cerebral-emergency-support-services-access-a-neuro-emergent-telemedicine-consultation-program
#20
Justin Whetten, David N van der Goes, Huy Tran, Mark Moffett, Colin Semper, Howard Yonas
AIMS: Access to Critical Cerebral Emergency Support Services (ACCESS) was developed as a low-cost solution to providing neuro-emergent consultations to rural hospitals in New Mexico that do not offer comprehensive stroke care. ACCESS is a two-way audio visual program linking remote emergency department physicians and their patients to stroke specialists. ACCESS also has an education component in which hospitals receive training from stroke specialists on the triage and treatment of patients...
January 9, 2018: Journal of Medical Economics
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