Automatic Block Selection for Synthesizing Texture Images using Genetic Algorithms by Baghdad Science Journal

“…In genetic texture synthesis algorithms ,the chromosome consist of random blocks selected manually by the user .However ,this method of selection is highly dependent on the experience of user .Hence, wrong selection of blocks will greatly affect the synthesized texture result. …”
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Block selection in multiblock partial least squares for modeling genotype-phenotype relations in Saccharomyces by Muhammad Tahir, Bu Yude, Tahir Mehmood, Saima Bashir, Zeeshan Ashraf

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Block selection in multiblock partial least squares for modeling genotype-phenotype relations in Saccharomyces. by Muhammad Tahir, Bu Yude, Tahir Mehmood, Saima Bashir, Zeeshan Ashraf

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Robust JND-Guided Video Watermarking via Adaptive Block Selection and Temporal Redundancy by Antonio Cedillo-Hernandez, Lydia Velazquez-Garcia, Manuel Cedillo-Hernandez, Ismael Dominguez-Jimenez, David Conchouso-Gonzalez

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Optimized Video Watermarking With Entropy-Aware Block Selection and Modified Hénon-Map Encryption by Ranjan K. Senapati, Birendra Biswal, Sandeep Kautish, Gandharba Swain, Ayman Altameem, Abdulaziz S. Almazyad, Ali Wagdy Mohamed

“…The watermark is adaptively embedded based on the video’s transform type, sub-band selection, attack types, and keyframes. Block selection within sub-bands is guided by entropy, edge entropy, and contrast. …”
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Design of an Automatic Defect Identification Method Based ECPT for Pneumatic Pressure Equipment by Bo Zhang, YuHua Cheng, Chun Yin, Xuegang Huang, Sara Dadras, Hadi Malek

“…The data block selection and variable step search are integrated to decrease the redundant computations in the automatic defect identification. …”
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Finger Vein Recognition Using Optimal Partitioning Uniform Rotation Invariant LBP Descriptor by Bang Chao Liu, Shan Juan Xie, Dong Sun Park

“…Experimental results show that proposed block selection algorithms can reduce the feature vector dimensionality in a large extent.…”
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Pancreatic cancer and adaptive metabolism in a nutrient-deficient environment by Robert Słotwiński, Sylwia Małgorzata Słotwińska

“…It was found that blocking selected metabolic pathways related to the local adaptive metabolic activity of pancreatic cancer cells, improving nutrient acquisition and metabolic crosstalk within the microenvironment to sustain proliferation, may inhibit cancer development, increase cancer cell death, and increase sensitivity to other forms of treatment (e.g., chemotherapy). …”
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HER-2 Protein Overexpression in Patients with Gastric and Oesophageal Adenocarcinoma at a Tertiary Care Facility in Ghana by David Larbi Simpong, Richard Harry Asmah, Cecilia Krampah, Patrick Kafui Akakpo, Patrick Adu, Du-Bois Asante, Simon Naporo, Andrew Anthony Adjei, Richard Kwasi Gyasi

“…Retrospectively, we reviewed records of gastric and oesophageal biopsies received from 2008 to 2012 and their corresponding archived formalin-fixed paraffin-embedded tissue blocks selected for immunohistochemical analysis. The prevalence of gastric and oesophageal adenocarcinomas and their association with HER-2 protein overexpression were evaluated. …”
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Differences in sensory nerve block between levobupivacaine and bupivacaine at low concentrations in humans and animals. by Akiyuki Sakamoto, Satoshi Tanaka, Takashi Ishida, Mikito Kawamata

“…Thus, low-dose levobupivacaine demonstrates relatively greater blocking selectivity for noxious over innocuous stimuli compared to low-dose bupivacaine. …”
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MIE-SPD: A New and Highly Efficient Chaos-Based Multiple Image Encryption Technique With Synchronous Permutation Diffusion by Bibhudendra Acharya, Javvadi Venkata Sravan, Durga Ram Janaki Potnuru, K. Abhimanyu Kumar Patro

“…The method is also more efficient due to the two types of permutation operations: block-selection and circular shift. Moreover, the method is effective in both software and hardware as it utilises a single fixed type 1D chaotic map for both diffusion and permutation stages. …”
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From theory to platelets: unraveling the history and complexities of biased signaling by NaShea C. Kendrick, Grace H. Huang, Germaine J. Harvey, Marvin T. Nieman

“…Recent cell signaling studies demonstrate that ligands block select signaling pathways but amplify others. This suggests that each ligand can stabilize a unique active conformation supporting the proposed model. …”
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Adversarial example defense algorithm for MNIST based on image reconstruction by Zhongyuan QIN, Zhaoxiang HE, Tao LI, Liquan CHEN

“…With the popularization of deep learning, more and more attention has been paid to its security issues.The adversarial sample is to add a small disturbance to the original image, which can cause the deep learning model to misclassify the image, which seriously affects the performance of deep learning technology.To address this challenge, the attack form and harm of the existing adversarial samples were analyzed.An adversarial examples defense method based on image reconstruction was proposed to effectively detect adversarial examples.The defense method used MNIST as the test data set.The core idea was image reconstruction, including central variance minimization and image quilting optimization.The central variance minimization was only processed for the central area of the image.The image quilting optimization incorporated the overlapping area into the patch block selection.Considered and took half the size of the patch as the overlap area.Using FGSM, BIM, DeepFool and C＆amp;W attack methods to generate adversarial samples to test the defense performance of the two methods, and compare with the existing three image reconstruction defense methods (cropping and scaling, bit depth compression and JPEG compression).The experimental results show that the central variance minimization and image quilting optimization algorithms proposed have a satisfied defense effect against the attacks of existing common adversarial samples.Image quilting optimization achieves over 75% classification accuracy for samples generated by the four attack algorithms, and the defense effect of minimizing central variance is around 70%.The three image reconstruction algorithms used for comparison have unstable defense effects on different attack algorithms, and the overall classification accuracy rate is less than 60%.The central variance minimization and image quilting optimization proposed achieve the purpose of effectively defending against adversarial samples.The experiments illustrate the defense effect of the proposed defense algorithm in different adversarial sample attack algorithms.The comparison between the reconstruction algorithm and the algorithm shows that the proposed scheme has good defense performance.…”
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HiImp-SMI: an implicit transformer framework with high-frequency adapter for medical image segmentation by Lianchao Huang, Feng Peng, Binghao Huang, Yinghong Cao

“…Specifically, a Channel Attention Block selectively amplifies high-frequency boundary cues, improving contour delineation. …”
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From Pain Control to Early Mobility: The Evolution of Regional Anesthesia in Geriatric Total Hip Arthroplasty by Tomasz Reysner, Grzegorz Kowalski, Aleksander Mularski, Malgorzata Reysner, Katarzyna Wieczorowska-Tobis

“…Motor-sparing techniques, including the pericapsular nerve group (PENG) block, supra-inguinal fascia iliaca block (SI-FIB), erector spinae plane block (ESPB), and quadratus lumborum block (QLB), have been developed to provide adequate analgesia without compromising motor control. The PENG block selectively targets the articular branches of the femoral, obturator, and accessory obturator nerves, ensuring superior pain relief while minimizing quadriceps weakness. …”
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