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Teaching Theology and Religion最新文献

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Finding our way: Issues and challenges in interreligious teaching and learning 寻找我们的道路:跨宗教教学中的问题和挑战
IF 0.3 Q4 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2020-03-16 DOI: 10.1111/teth.12526
Judith A. Berling
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引用次数: 2
Interreligious lectio divina : Reflecting on the transfiguration with Maximos the confessor and the Bhagavad Gītā 宗教间的选择:反思与忏悔者马克西莫斯和薄伽梵的变形
IF 0.3 Q4 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2020-03-06 DOI: 10.1111/teth.12522
Thomas Cattoi
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引用次数: 0
Patel, Eboo, JenniferHowe Peace, and NoahSilverman, eds. Interreligious/Interfaith Studies: Defining a New Field. Boston: Beacon Press, 2018. ISBN: 978‐0807019976. xxi + 262 pages. $28.00.
IF 0.3 Q4 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2020-03-05 DOI: 10.1111/teth.12523
Emily Pothast
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引用次数: 0
Park, Jung Eun Sophia, and EmilyS. Wu, eds. Interreligious Pedagogy: Reflections and applications in honor of Judith A. Berling. Asian Christianity in the Diaspora series. Cham: Palgrave Macmillan, 2018. ISBN: 978‐3319915050. xv + 119 pages. $69.99. Park, Jung Eun Sophia和emily ys。吴,eds。跨宗教教育学:反思与应用纪念朱迪斯·a·柏林。散居海外的亚洲基督教系列。Cham: Palgrave Macmillan, 2018。ISBN: 978 3319915050。15 + 119页。69.99美元。
IF 0.3 Q4 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2020-03-03 DOI: 10.1111/teth.12521
K. Largen
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引用次数: 0
Growing interreligious and intercultural competence in the classroom 在课堂上培养跨宗教和跨文化能力
IF 0.3 Q4 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2020-03-01 DOI: 10.1111/teth.12527
J. Lindsay
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引用次数: 5
From the co‐editor… 来自共同编辑……
IF 0.3 Q4 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2020-03-01 DOI: 10.1111/teth.12528
Kyle K. Schiefelbein‐Guerrero
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引用次数: 0
Sacred sound in world religions: An interreligious teaching and learning experience 世界宗教中神圣的声音:一个跨宗教的教学和学习经验
IF 0.3 Q4 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2020-03-01 DOI: 10.1111/teth.12525
Stefan Andre Waligur
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引用次数: 0
Teaching Interreligious EncountersMark A.Pugliese, Alexander Y.Hwang (Eds.). AAR teaching religious studies series. New York: Oxford University press. 2017. xii + 368 pages. $105.00. ISBN 978‐0190677565 教授宗教间的相遇mark A.Pugliese, Alexander Y.Hwang(编)。AAR教授宗教研究系列。纽约:牛津大学出版社。2017. 12 + 368页。105.00美元。ISBN 978还是0190677565
IF 0.3 Q4 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2020-03-01 DOI: 10.1111/teth.12524
Adam Pryor
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引用次数: 0
Robust Radiomic Feature Selection in Digital Mammography: Understanding the Effect of Imaging Acquisition Physics Using Phantom and Clinical Data Analysis. 数字乳房x线照相术中健壮的放射学特征选择:利用幻影和临床数据分析了解成像采集物理的影响。
IF 2.9 Q4 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2020-02-01 Epub Date: 2020-03-16 DOI: 10.1117/12.2549163
Raymond J Acciavatti, Eric A Cohen, Omid Haji Maghsoudi, Aimilia Gastounioti, Lauren Pantalone, Meng-Kang Hsieh, Emily F Conant, Christopher G Scott, Stacey J Winham, Karla Kerlikowske, Celine Vachon, Andrew D A Maidment, Despina Kontos

Studies have shown that combining calculations of radiomic features with estimates of mammographic density results in an even better assessment of breast cancer risk than density alone. However, to ensure that risk assessment calculations are consistent across different imaging acquisition settings, it is important to identify features that are not overly sensitive to changes in these settings. In this study, digital mammography (DM) images of an anthropomorphic phantom ("Rachel", Gammex 169, Madison, WI) were acquired at various technique settings. We varied kV and mAs, which control contrast and noise, respectively. DM images in women with negative screening exams were also analyzed. Radiomic features were calculated in the raw ("FOR PROCESSING") DM images; i.e., grey-level histogram, co-occurrence, run length, fractal dimension, Gabor Wavelet, local binary pattern, Laws, and co-occurrence Laws features. For each feature, the range of variation across technique settings in phantom images was calculated. This range was scaled against the range of variation in the clinical distribution (specifically, the range corresponding to the middle 90% of the distribution). In order for a radiomic feature to be considered robust, this metric of imaging acquisition variation (IAV) should be as small as possible (approaching zero). An IAV threshold of 0.25 was proposed for the purpose of this study. Out of 341 features, 284 features (83%) met the threshold IAV ≤ 0.25. In conclusion, we have developed a method to identify robust radiomic features in DM.

研究表明,将放射学特征的计算与乳房x线摄影密度的估计相结合,可以更好地评估乳腺癌的风险,而不仅仅是密度。然而,为了确保风险评估计算在不同的成像采集设置中是一致的,识别对这些设置的变化不过于敏感的特征是很重要的。在这项研究中,在不同的技术设置下获得了拟人幻影(“Rachel”,Gammex 169, Madison, WI)的数字乳房x线摄影(DM)图像。我们改变kV和ma,分别控制对比度和噪声。对筛查阴性的女性的糖尿病影像也进行了分析。在原始(“FOR PROCESSING”)DM图像中计算放射学特征;即灰度直方图、共现、行程长度、分形维数、Gabor小波、局部二值模式、规律、共现规律等特征。对于每个特征,计算了不同技术设置在幻影图像中的变化范围。这个范围是根据临床分布的变化范围(具体来说,是与分布中间90%对应的范围)进行缩放的。为了使放射学特征具有鲁棒性,成像获取变化(IAV)的度量应该尽可能小(接近于零)。本研究建议IAV阈值为0.25。在341个特征中,284个特征(83%)满足阈值IAV≤0.25。总之,我们已经开发了一种方法来识别糖尿病的稳健放射学特征。
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引用次数: 0
Time, structure, and teaching as an adjunct 时间,结构和教学作为辅助
IF 0.3 Q4 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2019-10-01 DOI: 10.1111/teth.12508
Hoon J. Lee
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引用次数: 4
期刊
Teaching Theology and Religion
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