A Christian Guide to Body Stewardship, Diet and Exercise - 3rd Edition

This free textbook provides readers with a wealth of practical information regarding body stewardship, nutrition, and exercise, all written from a Christian worldview. While other textbooks provide readers with the why proper nutrition and regular exercise is important, this textbook takes it one step further and provides readers with the how . Each chapter is filled with helpful charts, tables, and figures that equip readers with tangible resources and recommendations they can use to put into practice the various concepts being introduced. Additionally, each chapter is written from a Christian worldview recognizing that the human body was created for a purpose, and through Godly stewardship of our bodies, we can more effectively worship our creator.https://digitalcommons.cedarville.edu/cedrus_press_publications/1024/thumbnail.jp

A Christian Guide to Body Stewardship, Diet and Exercise

This free textbook provides readers with a wealth of practical information regarding body stewardship, nutrition, and exercise, all written from a Christian worldview. While other textbooks provide readers with the why proper nutrition and regular exercise is important, this textbook takes it one step further and provides readers with the how . Each chapter is filled with helpful charts, tables, and figures that equip readers with tangible resources and recommendations they can use to put into practice the various concepts being introduced. Additionally, each chapter is written from a Christian worldview recognizing that the human body was created for a purpose, and through Godly stewardship of our bodies, we can more effectively worship our creator.https://digitalcommons.cedarville.edu/cedrus_press_publications/1022/thumbnail.jp

Faces and Facets:Variability of Emotion Recognition in Psychopathy Reflect its Affective and Antisocial Features

Psychopathy consists of a constellation of affective-interpersonal features including lack of empathy, callousness, manipulativeness and interpersonal charm, impulsiveness and irresponsibility. Despite its theoretical and predictive value in forensic contexts, the relationships between the psychometric dimensions of psychopathy, including its antisocial features, and the construct’s neuropsychological characteristics remain uncertain. In this study, 685 personality-disordered prisoners with histories of serious violent or sexual offenses were assessed for psychopathy before completing a computerized and well-validated assessment of the ability to recognize emotional expressions in the face. Prisoners with more of the affective features of psychopathy, and prisoners with more of its antisocial manifestations, showed relatively poor recognition accuracy of fearfulness and disgust. These relationships were independent and modest but were still evident following correction for demographic features (e.g., ethnicity and socioeconomic status), mental illness (e.g., substance and alcohol misuse), personality disorders (other than antisocial personality disorder) and treatment status. By contrast, the associations between these dimensions of psychopathy and emotion recognition were diminished by controlling for cognitive ability. These findings demonstrate that variability in the ability of high-risk personality-disordered prisoners to recognize emotional expressions in the face—in particular, fear and disgust—reflects both the affective and antisocial aspects of psychopathy, and is moderated by cognitive ability. (PsycINFO Database Record (c) 2017 APA, all rights reserved

Skin Lesion Analyser: An Efficient Seven-Way Multi-Class Skin Cancer Classification Using MobileNet

Skin cancer, a major form of cancer, is a critical public health problem with 123,000 newly diagnosed melanoma cases and between 2 and 3 million non-melanoma cases worldwide each year. The leading cause of skin cancer is high exposure of skin cells to UV radiation, which can damage the DNA inside skin cells leading to uncontrolled growth of skin cells. Skin cancer is primarily diagnosed visually employing clinical screening, a biopsy, dermoscopic analysis, and histopathological examination. It has been demonstrated that the dermoscopic analysis in the hands of inexperienced dermatologists may cause a reduction in diagnostic accuracy. Early detection and screening of skin cancer have the potential to reduce mortality and morbidity. Previous studies have shown Deep Learning ability to perform better than human experts in several visual recognition tasks. In this paper, we propose an efficient seven-way automated multi-class skin cancer classification system having performance comparable with expert dermatologists. We used a pretrained MobileNet model to train over HAM10000 dataset using transfer learning. The model classifies skin lesion image with a categorical accuracy of 83.1 percent, top2 accuracy of 91.36 percent and top3 accuracy of 95.34 percent. The weighted average of precision, recall, and f1-score were found to be 0.89, 0.83, and 0.83 respectively. The model has been deployed as a web application for public use at (https://saketchaturvedi.github.io). This fast, expansible method holds the potential for substantial clinical impact, including broadening the scope of primary care practice and augmenting clinical decision-making for dermatology specialists.Comment: This is a pre-copyedited version of a contribution published in Advances in Intelligent Systems and Computing, Hassanien A., Bhatnagar R., Darwish A. (eds) published by Chaturvedi S.S., Gupta K., Prasad P.S. The definitive authentication version is available online via https://doi.org/10.1007/978-981-15-3383-9_1

LegumeGRN: a gene regulatory network prediction server for functional and comparative studies

Building accurate gene regulatory networks (GRNs) from high-throughput gene expression data is a long-standing challenge. However, with the emergence of new algorithms combined with the increase of transcriptomic data availability, it is now reachable. To help biologists to investigate gene regulatory relationships, we developed a web-based computational service to build, analyze and visualize GRNs that govern various biological processes. The web server is preloaded with all available Affymetrix GeneChip-based transcriptomic and annotation data from the three model legume species, i.e., Medicago truncatula, Lotus japonicus and Glycine max. Users can also upload their own transcriptomic and transcription factor datasets from any other species/organisms to analyze their in-house experiments. Users are able to select which experiments, genes and algorithms they will consider to perform their GRN analysis. To achieve this flexibility and improve prediction performance, we have implemented multiple mainstream GRN prediction algorithms including co-expression, Graphical Gaussian Models (GGMs), Context Likelihood of Relatedness (CLR), and parallelized versions of TIGRESS and GENIE3. Besides these existing algorithms, we also proposed a parallel Bayesian network learning algorithm, which can infer causal relationships (i.e., directionality of interaction) and scale up to several thousands of genes. Moreover, this web server also provides tools to allow integrative and comparative analysis between predicted GRNs obtained from different algorithms or experiments, as well as comparisons between legume species. The web site is available at http://legumegrn.noble.org.Oklahoma Center for The Advancement of Science and Technology: (OCAST Grant No. PSB11-031)

Pengembangan Media Pembelajaran Matematika Berbantu Wondershare dengan Pendekatan Rme pada Materi SMP

Pemilihan media pembelajaran yang kurang tepat dapat membuat siswa kurang antusias terhadap mata pelajaran matematika. Sehingga banyak siswa yang mendapat nilai dibawah KKM. Solusinya dibutuhkan media pembelajaran yang menarik serta dapat menumbuhkan antusias siswa dalam belajar.Penelitian ini bertujuan untuk mengembangkan media pembelajaran berbantu wondershare dengan pendekatan RME sehingga menghasilkan media yang layak dan efektif digunakan selama pembelajaran. Jenis penelitian ini adalah penelitian Research and Development dengan menggunakan model pengembangan ADDIE, terdiri dari 5 tahapan yaitu analisis, design, developmen, implementasi, evaluasi.Sebelum diimplementasikan, media pembelajaran terlebih dahulu dilakukan uji validasi oleh ahli media, ahli materi serta angket tanggapan siswa. Hasil validasi ahli tersebut berkriteria sangat baik sehingga media pembelajaran layak untuk digunakan.Pembelajaran dengan media pembelajaran berbantu wondershare dengan pendekatan RME efektif digunakan oleh peserta didik. Hal ini di buktikan dari rata rata kelas eksperimen dan kontrol yaitu 82,03 dan 60,54. Ketuntasan belajar individu kelas ekperimen terdapat 31 siswa tuntas dari 36 siswa, dan kelas kontrol terdapat 8 siswa tuntas dari 27 siswa. Dilihat dari ketuntasan belajar klasikal siswa untuk kelas kontrol dan eksperimen sebesar 22,86% dan 86,11%. Dengan analisis menggunakan uji t pihak kanan diperoleh nilaiyaitu 9,607>1,667 maka H0 ditolak, jadi pembelajaran dengan menggunakan media pembelajaran berbantuan wondershare dengan pendekatan RME lebih baik dibandingkan dengan pembelajaran konvensional pada materi SMP

Opinion leaders and changes over time: a survey

<p>Abstract</p> <p>Background</p> <p>Opinion leaders represent one way to disseminate new knowledge and influence the practice behaviors of physicians. This study explored the stability of opinion leaders over time, whether opinion leaders were polymorphic (<it>i.e.</it>, influencing multiple practice areas) or monomorphic (<it>i.e.</it>, influencing one practice area), and reach of opinion leaders in their local network.</p> <p>Methods</p> <p>We surveyed surgeons and pathologists in Ontario to identify opinion leaders for colorectal cancer in 2003 and 2005 and to identify opinion leaders for breast cancer in 2005. We explored whether opinion leaders for colorectal cancer identified in 2003 were re-identified in 2005. We examined whether opinion leaders were considered polymorphic (nominated in 2005 as opinion leaders for both colorectal and breast cancer) or monomorphic (nominated in 2005 for only one condition). Social-network mapping was used to identify the number of local colleagues identifying opinion leaders.</p> <p>Results</p> <p>Response rates for surgeons were 41% (2003) and 40% (2005); response rates for pathologists were 42% (2003) and 37% (2005). Four (25%) of the surgical opinion leaders identified in 2003 for colorectal cancer were re-identified in 2005. No pathology opinion leaders for colorectal cancer were identified in both 2003 and 2005. Only 29% of surgical opinion leaders and 17% of pathology opinion leaders identified in the 2005 survey were considered influential for both colorectal cancer and breast cancer. Social-network mapping revealed that only a limited number of general surgeons (12%) or pathologists (7%) were connected to the social networks of identified opinion leaders.</p> <p>Conclusions</p> <p>Opinion leaders identified in this study were not stable over a two-year time period and generally appear to be monomorphic, with clearly demarcated areas of expertise and limited spheres of influence. These findings may limit the practicability of routinely using opinion leaders to influence practice.</p

Rectal Optical Markers for In-vivo Risk Stratification of Premalignant Colorectal Lesions.

Purpose: Colorectal cancer remains the second leading cause of cancer deaths in the U.S. despite being eminently preventable by colonoscopy via removal of premalignant adenomas. In order to more effectively reduce colorectal cancer mortality, improved screening paradigms are needed. Our group pioneered the use of low coherence enhanced backscattering (LEBS) spectroscopy to detect the presence of adenomas throughout the colon via optical interrogation of the rectal mucosa. In a previous ex-vivo biopsy study of 219 patients, LEBS demonstrated excellent diagnostic potential with 89.5% accuracy for advanced adenomas. The objective of the current cross-sectional study is to assess the viability of rectal LEBS in-vivo. Experimental Design: Measurements from 619 patients were taken using a minimally invasive 3.4 mm diameter LEBS probe introduced into the rectum via anoscope or direct insertion, requiring ~1 minute from probe insertion to withdrawal. The diagnostic LEBS marker was formed as a logistic regression of the optical reduced scattering coefficient μs∗ and mass density distribution factor D. Results: The rectal LEBS marker was significantly altered in patients harboring advanced adenomas and multiple non-advanced adenomas throughout the colon. Blinded and cross-validated test performance characteristics showed 88% sensitivity to advanced adenomas, 71% sensitivity to multiple non-advanced adenomas, and 72% specificity in the validation set. Conclusions: We demonstrate the viability of in-vivo LEBS measurement of histologically normal rectal mucosa to predict the presence of clinically relevant adenomas throughout the colon. The current work represents the next step in the development of rectal LEBS as a tool for colorectal cancer risk stratification

The American Association for the Surgery of Trauma renal injury grading scale: Implications of the 2018 revisions for injury reclassification and predicting bleeding interventions.

BackgroundIn 2018, the American Association for the Surgery of Trauma (AAST) published revisions to the renal injury grading system to reflect the increased reliance on computed tomography scans and non-operative management of high-grade renal trauma (HGRT). We aimed to evaluate how these revisions will change the grading of HGRT and if it outperforms the original 1989 grading in predicting bleeding control interventions.MethodsData on HGRT were collected from 14 Level-1 trauma centers from 2014 to 2017. Patients with initial computed tomography scans were included. Two radiologists reviewed the scans to regrade the injuries according to the 1989 and 2018 AAST grading systems. Descriptive statistics were used to assess grade reclassifications. Mixed-effect multivariable logistic regression was used to measure the predictive ability of each grading system. The areas under the curves were compared.ResultsOf the 322 injuries included, 27.0% were upgraded, 3.4% were downgraded, and 69.5% remained unchanged. Of the injuries graded as III or lower using the 1989 AAST, 33.5% were upgraded to grade IV using the 2018 AAST. Of the grade V injuries, 58.8% were downgraded using the 2018 AAST. There was no statistically significant difference in the overall areas under the curves between the 2018 and 1989 AAST grading system for predicting bleeding interventions (0.72 vs. 0.68, p = 0.34).ConclusionAbout one third of the injuries previously classified as grade III will be upgraded to grade IV using the 2018 AAST, which adds to the heterogeneity of grade IV injuries. Although the 2018 AAST grading provides more anatomic details on injury patterns and includes important radiologic findings, it did not outperform the 1989 AAST grading in predicting bleeding interventions.Level of evidencePrognostic and Epidemiological Study, level III