Low-dimensional multiscale fast SAR image registration method by Jiamu Li, Wenbo Yu, Zijian Wang, Jiaxin Xie, Xiaojie Zhou, Yabo Liu, Zhongjun Yu, Meng Li, Yi Wang

“…Many existing SAR image registration methods major in describing detected features in a unique, identifiable, but maybe complex way. …”
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Truncating the spliceosomal ‘rope protein’ Prp45 results in Htz1 dependent phenotypes by Kateřina Abrhámová, Martina Groušlová, Anna Valentová, Xinxin Hao, Beidong Liu, Martin Převorovský, Ondřej Gahura, František Půta, Per Sunnerhagen, Petr Folk

“…The interaction of prp45(1–169) and htz1Δ was detectable even in cells with SRB2 intron deleted (srb2Δi). …”
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LLM-Driven, Self-Improving Framework for Security Test Automation: Leveraging Karate DSL for Augmented API Resilience by Emil Marian Pasca, Daniela Delinschi, Rudolf Erdei, Oliviu Matei

“…The iterative refinement process, evaluated through comprehensive metrics including Accuracy (A), Complexity (C), and Interoperability (I), represents a significant advancement in automated API security testing, offering an efficient, accurate, and adaptable approach to detecting BOLA vulnerabilities across diverse API architectures.…”
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Investigation of Opto‐magnetic Memory Effects in Antiferromagnetic CuMnAs Using Ultrafast Heat Dynamics and Quench Switching by Jan Zubáč, Miloslav Surýnek, Kamil Olejník, Andrej Farkaš, Filip Krizek, Lukáš Nádvorník, Peter Kubaščík, Zdeněk Kašpar, František Trojánek, Richard P. Campion, Vít Novák, Petr Němec, Tomáš Jungwirth

“…Abstract Solving complex tasks in a modern information‐driven society requires novel materials and concepts for energy‐efficient hardware. …”
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Genomic and Functional Analysis of a Novel Yeast <i>Cyberlindnera fabianii</i> TBRC 4498 for High-Yield Xylitol Production by Pawarin Bonthong, Benjarat Bunterngsook, Wuttichai Mhuantong, Katesuda Aiewviriyasakul, Wipawee Sritusnee, Verawat Champreda, Hataikarn Lekakarn

“…The development of yeast cell factories for efficient xylose utilization and xylitol production is crucial for advancing sustainable biotechnological processes. …”
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Jet Interaction with Galaxy Cluster Mergers by P. Domínguez-Fernández, J. ZuHone, R. Weinberger, E. Bellomi, L. Hernquist, P. Nulsen, G. Brunetti

“…Recent radio observations reveal the complex morphologies of cluster diffuse emission, potentially linked to interactions between AGN bursts and the cluster environment. …”
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Determination of Trace Rare Earth Elements in Tungsten-Molybdenum Ore by Inductively Coupled Plasma-Mass Spectrometry with Microwave Digestion System by Junfei CAO, Ting WANG, Jian LI, Ying LI

“…Relative standard deviation (RSD) of method precision was lower than 2.0%, the method detection limit was 0.0002-0.0087µg/g, and the spiked recovery of real samples was between 80.0% and 114.0%. …”
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EA-CNN: Enhanced attention-CNN with explainable AI for fruit and vegetable classification by Zeshan Aslam Khan, Muhammad Waqar, Khalid Mehmood Cheema, Ali Abu Bakar Mahmood, Quratul Ain, Naveed Ishtiaq Chaudhary, Abdullah Alshehri, Sultan S. Alshamrani, Muhammad Asif Zahoor Raja

“…In this study, an explainable artificial intelligence (XAI) driven enhanced attention-CNN (EA-CNN) is proposed for accomplishing the fruit and vegetable classification task accurately and efficiently. The proposed EA-CNN model (a) detects the class of fruits and vegetable accurately through visual features by manipulating undiscover customized pooling technique and enhanced attention feature extraction mechanism, (b) classifies the fruits and vegetables efficiently through a simplified architecture, (c) provides interpretable predictions through XAI approach. …”
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Infusing Harvest Plus lines into commercial cultivars: Impact on grain yield and micronutrient content in wheat (Triticum aestivum L.) by Ashish Sheera, Tuhina Dey, Nashra Aftab, Jogendra Singh, Vijayata Singh, Rebekah Nisha, Bikram Singh

“…The findings highlight the complexity of genetic interactions and emphasize the need for advanced breeding strategies to develop wheat varieties that improve yield and micronutrient efficiency, addressing global nutritional challenges.…”
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GNNs and ensemble models enhance the prediction of new sRNA-mRNA interactions in unseen conditions by Shani Cohen, Lior Rokach, Isana Veksler-Lublinsky

“…Despite advancements in high-throughput (HT) experimental methods, they remain technically challenging and are limited to detecting sRNA-target interactions under specific environmental conditions. …”
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Coexpression network analysis in abdominal and gluteal adipose tissue reveals regulatory genetic loci for metabolic syndrome and related phenotypes. by Josine L Min, George Nicholson, Ingileif Halgrimsdottir, Kristian Almstrup, Andreas Petri, Amy Barrett, Mary Travers, Nigel W Rayner, Reedik Mägi, Fredrik H Pettersson, John Broxholme, Matt J Neville, Quin F Wills, Jane Cheeseman, GIANT Consortium, MolPAGE Consortium, Maxine Allen, Chris C Holmes, Tim D Spector, Jan Fleckner, Mark I McCarthy, Fredrik Karpe, Cecilia M Lindgren, Krina T Zondervan

“…Since many genes and their interactions influence complex traits such as MetS, integrated analysis of genotypes and coexpression networks across multiple tissues relevant to clinical traits is an efficient strategy to identify novel associations.…”
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Anaerobic digestion of microalgae: microbial response and recovery after organic loading disturbances by Juline M. Walter, Silvia Greses, Live H. Hagen, Valerie C. Schiml, Phillip B. Pope, Cristina González-Fernández, Magnus Ø Arntzen

“…ABSTRACT Industrial anaerobic digestion (AD) represents a relevant energy source beyond today’s fossil fuels, wherein organic matter is recycled to methane gas via an intricate and complex microbial food web. Despite its potential, anaerobic reactors often undergo process instability over time, which is frequently caused by substrate composition perturbations, making the system unreliable for stable energy production. …”
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Investigation of high fecundity genes by nanopore sequencing in sheep (Ovis aries) pituitary by Xue Xiao, Zhibin Ji, Tong Wang, Dejie Zhu, Zhonghui Li, Xinming Xu, Fen Li

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Surface protonation amplifies carbon nitride nanosheet-induced phospholipid extraction: Mechanistic insights into enhanced cytotoxicity by Yiping Feng, Jiayong Lao, Jingchuan Xue

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Classifying and Localizing Abnormalities in Brain MRI Using Channel Attention Based Semi-Bayesian Ensemble Voting Mechanism and Convolutional Auto-Encoder by Syed Muhammad Ahmed Hassan Shah, Asad Ullah, Jawaid Iqbal, Sami Bourouis, Syed Sajid Ullah, Saddam Hussain, Muhammad Qasim Khan, Yaser Ali Shah, Ghulam Mustafa

“…The classification of brain tumors into multiple classes is recognized as a complex challenge within the field of medical imaging. …”
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Characterization of emerging H3N3 avian influenza viruses in poultry in China by Cheng Yan, Jianzhong Shi, Pengfei Cui, Yuan Chen, Congcong Wang, Yan Wang, Jiahao Miao, Yaping Zhang, Huihui Kong, Xianying Zeng, Guobin Tian, Chengjun Li, Yasuo Suzuki, Guohua Deng, Hualan Chen

“…Seventeen viruses were tested in mice and most replicated efficiently but were not lethal. Six viruses were tested in guinea pigs, and four of them transmitted efficiently via respiratory droplets. …”
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ULTRASOUND CRITERIA OF EARLY DIAGNOSTICS OF OVARIAN CARCINOMA by L. A. Ashrafyan, N. A. Babaeva, I. B. Antonova, S. V. Ivashina, A. V. Lyustik, O. I. Aleshikova, E. V. Gerfanova, А. А. Dobrenko

“…Therefore modern ultrasonography can detect and differentiate rather efficiently the localized variants of OC, provided that the main part of diagnosis is formed in mode of color and power Doppler mapping, which shall be taken into consideration during the primary diagnostics of OC.…”
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MLinvitroTox reloaded for high-throughput hazard-based prioritization of high-resolution mass spectrometry data by Katarzyna Arturi, Eliza J. Harris, Lilian Gasser, Beate I. Escher, Georg Braun, Robin Bosshard, Juliane Hollender

“…Abstract MLinvitroTox is an automated Python pipeline developed for high-throughput hazard-driven prioritization of toxicologically relevant signals detected in complex environmental samples through high-resolution tandem mass spectrometry (HRMS/MS). …”
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An innovative methodology for segmenting vessel like structures using artificial intelligence and image processing by Reynaldo Villarreal, Sindy Chamorro-Solano, Steffen Cantillo, Roberto Pestana-Nobles, Sair Arquez, Yolanda Vega-Sampayo, Leonardo Pacheco-Londoño, Jheifer Paez, Nataly Galan-Freyle, Cristian Ayala, Paola Amar

“…This is achieved by training algorithms to detect specific pixels, thereby recognizing details within images. …”
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A novel lightweight 3D CNN for accurate deformation time series retrieval in MT-InSAR by Mahmoud Abdallah, Xiaoli Ding, Samaa Younis, Songbo Wu

“…Multi-temporal interferometric synthetic aperture radar (MT-InSAR) is a powerful geodetic technique for detecting and monitoring ground deformation over extensive areas. …”
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