Optical, X-Ray Diffraction, and Magnetic Properties of the Cobalt-Substituted Nickel Chromium Ferrites (CrCo𝑥Ni1−𝑥FeO4, 𝑥=0,0.2,0.4,0.6,0.8,1.0) Synthesized Using Sol-Gel... by Sonal Singhal, Santosh Bhukal, Jagdish Singh, Kailash Chandra, S. Bansal

“…Typical FT-IR spectra of the samples annealed at 400°C, 600°C, 800°C, and 1000°C exhibit two frequency bands in the range of ~480 cm−1 and ~590 cm−1 corresponding to the formation of octahedral and tetrahedral clusters of metal oxide, respectively. TEM images reveal that crystallite size increases from ~10 nm to ~45 nm as the annealing temperature is increased from 400°C to 1000°C. …”
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Restriction Enzyme Analysis of DNA Methylation in “Condensed” Chromatin of Ha-Ras-Transformed NIH 3T3 Cells by Maria Luiza S. Mello, Ann F. Chambers, Benedicto C. Vidal, Wolfgang Planding, Ulrich Schenck

“…The DNA evaluation was performed by video image analysis in Feulgen‐stained cells previously subjected to treatment with Msp I and Hpa II restriction enzymes, which distinguish between methylated and non‐methylated DNA. …”
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QbD-Driven preparation, characterization, and pharmacokinetic investigation of daidzein-l oaded nano-cargos of hydroxyapatite by Namrata Gautam, Debopriya Dutta, Saurabh Mittal, Perwez Alam, Nasr A. Emad, Mohamed H. Al-Sabri, Suraj Pal Verma, Sushama Talegaonkar

“…The particle sizes of HAPNPs and DZHAPNPs were found to be 118.9 ± 0.15 nm and 129.3 ± 0.65 nm, respectively, consistent with their FESEM and TEM images. A notable entrapment efficiency of 87.23 ± 0.97% and drug release of 91 ± 0.85% from DZHAPNPs was observed over 90 h at pH 7.4. …”
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Ultra-broadband all-optical nonlinear activation function enabled by MoTe2/optical waveguide integrated devices by Chenduan Chen, Zhan Yang, Tao Wang, Yalun Wang, Kai Gao, Jiajia Wu, Jun Wang, Jianrong Qiu, Dezhi Tan

“…Moreover, the classification of more intricate CIFAR-10 images demonstrated a generalizable accuracy of 94.6%. …”
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Versatile on-chip polarization-sensitive detection system for optical communication and artificial vision by Zhilin Liu, Mingxiu Liu, Liujian Qi, Nan Zhang, Bin Wang, Xiaojuan Sun, Rongjun Zhang, Dabing Li, Shaojuan Li

“…Based on the above performance optimization, we demonstrated its polarization-modulated IR optical communication ability and polarized artificial vision applications with a high image recognition accuracy of ~99%. The proposed platform provides a promising route for the development of the long-sought minimized, high-performance, multifunctional optoelectronic systems.…”
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Placental Vimentin Expression in Preeclampsia and Gestational Diabetes Mellitus by Fırat Asir, Suleyman Cemil Oglak, Tugcan Korak, Fatih Tas, Mehmet Yilmaz, Fikri Erdemci, Firat Sahin, Hayat Ayaz, Emine Zeynep Yilmaz, Gokhan Bolluk

“…Vimentin immune activity was analyzed in the placental sections with immunohistochemistry. Sections were imaged and analyzed under a light microscope. A semiquantitative measurement was done between groups by comparing the Vimentin signal and significance was calculated. …”
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Survey on Lie Group Machine Learning by Mei Lu, Fanzhang Li

“…In addition, we introduce the special application of Lie group machine learning in image processing. This work covers the following techniques: Lie group machine learning model, Lie group subspace orbit generation learning, symplectic group learning, quantum group learning, Lie group fiber bundle learning, Lie group cover learning, Lie group deep structure learning, Lie group semisupervised learning, Lie group kernel learning, tensor learning, frame bundle connection learning, spectral estimation learning, Finsler geometric learning, homology boundary learning, category representation learning, and neuromorphic synergy learning. …”
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Permafrost Dynamics Observatory: 3. Remote Sensing Big Data for the Active Layer, Soil Moisture, and Greening and Browning by Elizabeth Wig, Kevin Schaefer, Roger Michaelides, Richard Chen, Leah K. Clayton, Brittany Fager, Lingcao Huang, Andrew D. Parsekian, Howard Zebker, Yingtong Zhang, Yuhuan Zhao

“…The Arctic‐Boreal Vulnerability Experiment's Permafrost Dynamics Observatory (PDO) contains data about permafrost subsidence, active layer thickness (ALT), soil water content, and water table depth, derived from airborne radar measurements at 66 image swaths in 2017. With nearly 58,000,000 pixels available for analysis, this data set enables new discoveries and can corroborate findings from previous studies across the Arctic‐Boreal region. …”
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Highly Strained AlGaAs‐GaAsP Nanomembranes‐Based High‐Performance Diode by Haris Naeem Abbasi, Moheb Sheikhi, Donghyeok Kim, Ranveer Singh, Jiarui Gong, Jie Zhou, Qiming Zhang, Shuoyang Qiu, Carolina Adamo, Patrick Marshall, Clincy Cheung, Vincent Gambin, Zhenqiang Ma

“…In addition, atomic force microscopy and scanning electron microscopy images confirm the smooth surface and uniformity of the NMs over the whole substrate without any formation of cracks, respectively. …”
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Study on the Fractal Characteristics of Coal Body Fissure Development and the Law of Coalbed Methane Migration of around the Stope by He Yang, Zhen Liu, Danliang Zhu, Wenzhi Yang, Dawei Zhao, Wendi Wang

“…Further, with the help of the fractal theory and box counting method, the fracture development characteristics of the overlying strata are quantitatively described on the basis of experimental images. Finally, by building a model for calculating the penetrability coefficient of coal seam based on fractal dimension of mining fissure and analyzing the relationship between fissure development and fractal dimension, the gas migration law and the fissure development areas of #7 and #8 overburden strata where CBM concentrates can be revealed and determined. …”
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Tackling the Problem of Distributional Shifts: Correcting Misspecified, High-dimensional Data-driven Priors for Inverse Problems by Gabriel Missael Barco, Alexandre Adam, Connor Stone, Yashar Hezaveh, Laurence Perreault-Levasseur

“…In this work, we propose addressing this issue by iteratively updating the population-level distributions by retraining the model with posterior samples from different sets of observations, and we showcase the potential of this method on the problem of background image reconstruction in strong gravitational lensing when score-based models are used as data-driven priors. …”
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Modeling the Geomagnetic Response to the September 2017 Space Weather Event Over Fennoscandia Using the Space Weather Modeling Framework: Studying the Impacts of Spatial Resolution by A. P. Dimmock, D. T. Welling, L. Rosenqvist, C. Forsyth, M. P. Freeman, I. J. Rae, A. Viljanen, E. Vandegriff, R. J. Boynton, M. A. Balikhin, E. Yordanova

“…The virtual magnetometers from each model run are compared with observations from the IMAGE magnetometer network across various latitudes and over regional‐scales. …”
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Models for Processing Nighttime Light Data and Software Development by Yufeng Qu, Long Li, Xuqing Li, Runya Li, Man Liu, Yushuai Wei, Yongjian Huang

“…The correction process includes oversaturation correction, annual/monthly data synthesis, digital number (DN) value intercalibration, and image continuity correction. Moreover, to test the accuracy and robustness of the merged datasets, we compared the dataset with the corrected products of LiNTL and ChenNTL. …”
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A systematic review of Machine Learning and Deep Learning approaches in Mexico: challenges and opportunities by José Luis Uc Castillo, Ana Elizabeth Marín Celestino, Diego Armando Martínez Cruz, José Tuxpan Vargas, José Alfredo Ramos Leal, Janete Morán Ramírez

“…These models are recognized as powerful tools in many fields due to their capability to carry out several tasks such as forecasting, image classification, recognition, natural language processing, machine translation, etc. …”
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Improving Road Semantic Segmentation Using Generative Adversarial Network by Arnick Abdollahi, Biswajeet Pradhan, Gaurav Sharma, Khairul Nizam Abdul Maulud, Abdullah Alamri

“…In experiments conducted on the Massachusetts road image dataset, the proposed approach achieves 91.54% precision and 92.92% recall, which correspond to a Mathews correlation coefficient (MCC) of 91.13%, a Mean intersection over union (MIOU) of 87.43% and a F1-score of 92.20%. …”
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Remote sensing-based winter wheat yield estimation integrating machine learning and crop growth multi-scenario simulations by Xin Du, Jiong Zhu, Jingyuan Xu, Qiangzi Li, Zui Tao, Yuan Zhang, Hongyan Wang, Haoxuan Hu

“…Model simplification showed that accuracy decreased when fewer remote sensing images were used, yet achieved reasonable estimates (two temporal phases: R2 of 0.41/0.40 at plot/county level). …”
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Examine the Availability and Safety of Mucosal Cutting Biopsy Technique for Diagnosis of Gastric Submucosal Tumor by Kazuhiro Mizukami, Osamu Matsunari, Ryo Ogawa, Yuka Hirashita, Kazuhisa Okamoto, Kensuke Fukuda, Akira Sonoda, Hidetoshi Akiyama, Sotaro Ozaka, Yoshinari Kawahara, Tadayoshi Okimoto, Masaaki Kodama, Kazunari Murakami

“…GIST is an immunohistological diagnosis that cannot be made from images alone. Tissue sampling of tumor sites is thus becoming increasingly important. …”
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Fatigue Life of Pre-Cut Seam Asphalt Mixture Composite Beams: A Combined Study of Fatigue Damage Evolution and Reflective Cracking Extension by Hongfu Liu, Hong Lu, Xun Zhu, Zhengwei Yi, Xin Yu, Dongzhao Jin, Xinghai Peng, Songtao Lv

“…Fatigue life was assessed through four-point flexural fatigue tests, while the crack extension pattern of composite beams was analyzed by digital image correlation (DIC) at both macroscopic and microscopic scales. …”
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Structure and properties of nanosize NiFe2O4 prepared by template and precipitation methods by Ćosović A., Ćosović V., Žák T., David B., Talijan N.

“…The results of SEM microstructural analysis of the prepared Niferrite powders demonstrate evident influence of the applied preparation method whereas high-magnification FE-SEM images show very similar fine-grained structures characterized by different size of particles. …”
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Weakly supervised deep learning-based classification for histopathology of gliomas: a single center experience by Mingrong Zuo, Xiang Xing, Linmao Zheng, Hao Wang, Yunbo Yuan, Siliang Chen, Tianping Yu, ShuXin Zhang, Yuan Yang, Qing Mao, Yongbin Yu, Ni Chen, Yanhui Liu

“…We analyzed 472 whole slide images (WSIs) from 226 patients in West China Hospital (WCH) and 1604 WSIs from 880 patients in The Cancer Genome Atlas (TCGA). …”
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