rom的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列包括賽程、直播線上看和比分戰績懶人包

Monte Carlo Simulation for Experimental Physics: A Practical Introduction to Concepts, Methods, Technology and Tools

為了解決rom的問題，作者Pia, Maria Grazia 這樣論述：

Taking a very practical, hand-on approach, this book introduces the use of Monte Carlo methods for solving practical problems in experimental physics. Topics covered include simulation methods, simulation domains, the experimental lifecycle, software tools for simulation, event generators, genera

lized and specialized codes for particle transport, modeling techniques, and physics processes. A CD-ROM and supporting website feature downloads, codes, hints, images, and links that enhance the book's use in formal teaching environments and allow more experienced users access to further resources.

rom進入發燒排行的影片

再生礦物填充料類型與含量對密級配熱拌瀝青混凝土力學特性之影響

為了解決rom的問題，作者Tarekegn Kumala Sherre 這樣論述：

Investigation of recycled waste materials as a replacement of conventional filler is one alternative problem solving mechanism in hot mix asphalt (HMA). This study was designed to analyze the characteristics of two recycled fillers called hollow concrete block (HCB) powder and brick powder (BP), to

assess impacts of filler type and content on the mechanical and cracking properties of hot mix asphalt (HMA) at 3%, 5% and 7% as a full replacements for limestone (LS) filler. The recycled materials and limestone fillers obtained from construction and demolition wastes (CDW) site, and naturally min

ed for commercial uses, respectively. Filler characteristics were examined using different cutting-edge technologies, such as laser diffraction particle size analysis (LDS), Fourier transform infrared (FTIR), Brunauer, Emmette, and Teller method (BET), X-ray diffractometer (XRD), scanning electron m

icroscope (SEM) and energy dispersive x-ray spectroscopy (EDS). Rotational viscosity and dynamic rheological properties of asphalt mastic with recycled filler over a wide range of frequencies and temperatures have shown better values than the conventional filler. The respective effects of the recycl

ed fillers and the mechanical properties of the HMA mixtures were assessed by investigating superpave volumetric analysis, indirect tensile strength (ITS), moisture damage by tensile strength ratio (TSR), permanent deformation and indirect tensile cracking indices (IDTindex) tests. The analysis of t

he volumetric properties revealed that the 5% of each fillers content was considered as an optimum filler content in the mixtures among the three fillers percentages (3%, 5% and 7%). Thus, the mechanical properties had investigated at the optimum 5%, except for IDT crack tests that used three differ

ent % of fillers. The results demonstrated that mixture with the HCB powder recorded a 6% higher TSR value than the LS mixture and 7.2% higher TSR value than the BP mixture. Mixtures with the HCB powder significantly improved the moisture, rutting, and cracking resistance of the HMA, which are fact

ors critical to extend the life of asphalt concrete. In contrast, using BP results in mixed values and negative effects particularly in terms of moisture resistance and rutting. The filler concentrations had also significant effect on the cracking performance of the asphalt. Peak loads and fracture

energy were increased as filler percentages were increased from 3%, 5% to 7% while the cracking indices such as cracking tolerance index (CT-index), flexibility index (FI), fractural energy index (FEI), toughness index (TI), crack resistance index (CRI), and fracture strain tolerance ( FST) were gov

erned at the 5% filler concentration. Strong linear correlations were observed for the R2 values of 0.89, 0.85, 0.84 and 0.68 for the CT index, FI, FEI, and TI, respectively, while a moderate correlation with 0.52 R2 for CRI and a weak correlation with 0.44 R2 for FST were observed between both spec

imen diameters. Therefore, both of the specimen diameters examined in this study (100mm and 150mm) may use interchangeably to characterize the crack performance of HMA using the IDT test due to the test results found and discriminated low variability of cracking indices.

A Murderous Persuasion

為了解決rom的問題，作者Oliver, Katie 這樣論述：

Katie Oliver is known internationally as a writer of Jane Austen rom-coms with a hint of mystery. In the U.S. and the U.K., she is the bestselling author of the Dating Mr. Darcy and Marrying Mr. Darcy series.

應用於HER2乳癌標靶治療 之 DISH影像分析深度學習方法

為了解決rom的問題，作者Muhammad Adil Khalil 這樣論述：

The amount of overexpression of the human epidermal growth factor receptor 2 (HER2) is a predictive biomarker for metastatic breast cancer that may be used to evaluate therapeutic treatments. In HER2 immunohistochemical scores 2+ equivocal cases, accurate HER2 testing is critical for determining th

e most suitable precision treatment. HER2 in situ hybridization has generally been carried out using fluorescence in situ hybridization techniques (FISH). In recent years, brightfield dual in situ hybridization (DISH) has emerged as an efficient and viable alternative approach to replace fluorescen

t in situ hybridization (FISH) in various labs, including ours. The presented deep learning based framework allows effective and precise automated detection of ERBB2 to CEN17 signals ratio and the mean HER2 copies for each nucleus in DISH images for clinical usage, consequently avoid inter-oberserv

er variability and shortening the time required for routine manual assessment. To the best of author's knowledge, this is the first study to explore the use of deep learning technology to automatically detect HER2 overexpression in HER2 DISH images acquired from clinical breast cancer samples. On tw

o datasets, we assess the efficiency of the proposed models. The results illustrate that the proposed method 1 accomplishes better performance than the baseline techniques with an accuracy of 97.11±2.39, precision of 96.92±1.45, recall of 92.49±2.04, F1-score of 94.65±3.59, and Jaccard Index of 88.

43±10.27 on dataset 1 and an accuracy of 97.80±1.05, precision of 97.48±1.07, recall of 91.80±3.84, F1-score of 94.56±3.04, and Jaccard Index of 88.39±5.16 for dataset 2. Additionally, using Fisher's LSD, the proposed method 1 outperforms the baseline approaches by a significant margin (P