Positively selected amino acid replacements within the RuBisCO enzyme of oak trees are associated with ecological adaptations. by Carmen Hermida-Carrera, Mario A Fares, Ángel Fernández, Eustaquio Gil-Pelegrín, Maxim V Kapralov, Arnau Mir, Arántzazu Molins, José Javier Peguero-Pina, Jairo Rocha, Domingo Sancho-Knapik, Jeroni Galmés

“…It has been hypothesized that RuBisCO has evolved differentially depending on the environmental conditions and leaf traits governing internal gas diffusion patterns. Here, we show, using PAML, that amino acid replacements at the residue positions 95, 145, 251, 262 and 328 of the RuBisCO large subunit have been the subject of positive selection along particular Quercus lineages associated with the leaf traits and climate characteristics. …”
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A Comparative Study on the Phytochemical Profile, Antimicrobial Activity and Antioxidant Capacity of Flowers and Leaves from Selected Medicinal Plants by Anisha Bhandari, Kanti Shrestha, Pramila Parajuli

“…Antimicrobial activity was evaluated using the agar well diffusion method, while antioxidant capacity was determined using the DPPH (1,1-diphenyl-2-picrylhyrazyl) assay. …”
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Bacterial Assessment of Selected Ready-To-Eat Foods Sold at Some Restaurants Within Federal Polytechnic Offa, Kwara State by Adeyinka E Ajiboye, Sheriffdeen O Alabi, Bukola A Hammed

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Case Report: Improved hearing in a rare, adult IDH2-mutant brainstem astrocytoma successfully treated with radiation and temozolomide by Takuya Okada, Manabu Natsumeda, Manabu Natsumeda, Hidemoto Fujiwara, Nayuta Higa, Toshiaki Akahane, Yuki Watabe, Kaoru Tomikawa, Kyoka Nishita, Yoshihiro Tsukamoto, Shinsuke Ohshima, Arata Horii, Akihide Tanimoto, Ryosuke Hanaya, Hiroshi Shimizu, Akiyoshi Kakita, Makoto Oishi

“…Detection of 2HG by MRS and molecular analysis, including non-canonical IDH1/2 mutations, were helpful in determining treatment response in this adult brainstem glioma case. …”
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Phenotypic Detection of Extended Spectrum Beta-Lactamase (ESBL) Produced by Gram-Negative Uropathogens in Sokoto Metropolis by Nuhu Tanko *, Chado Jibril Baba, Olowookere Ahmed, Hussain Ungokore Yahaya, Nura Umar Muhammad

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The Thermoelastic Component of the Photoacoustic Response in a 3D-Printed Polyamide Coated with Pigment Dye: A Two-Layer Model Incorporating Fractional Heat Conduction Theories by Marica N. Popovic, Slobodanka P. Galovic, Ervin K. Lenzi, Aloisi Somer

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The Spillovers of Competition: Value-based Activism and Political Cross-fertilization in an Indian Campus by Jean-Thomas Martelli

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Bronchial Mucus as a Complex Fluid: Molecular Interactions and Influence of Nanostructured Particles on Rheological and Transport Properties by Odziomek Marcin, Kalinowska Martyna, Płuzińska Aleksandra, Rożeń Antoni, Sosnowski Tomasz R.

“…Studies were done using thermostated horizontal diffusion cells with sodium cromoglycate and carminic acid as transferred solutes. …”
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The first-line therapy of aggressive non-Hodgkin’s lymphomas in russian clinical practice: data from the EQUILIBRIUM study by L. G. Babicheva, I. V. Poddubnaya

“…The group of aggressive non-Hodgkin’s lymphomas (aNHL), which is the subject of this article, included 295 patients with a median age of 55.9 years: diffuse B-large cell lymphoma – 87 %, primary mediastinal lymphoma – 11 %, Burkitt’s lymphoma – 1 %. …”
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Using the digital archive of pathological reports of stomach cancer as internal quality control of coding according to the ICD-O system by O. I. Kit, Yu. A. Fomenko, N. S. Karnaukhov, T. O. Lapteva, M. V. Voloshin, G. Yu. Vakulenko, S. Zh-P. Bosenko, I. A. Suhar, K. S. Eremin, G. V. Kaminskij, M. A. Kuznecova

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Aluminum doped zinc oxide nanoplatelets based sensor with enhanced hydrogen sulfide detection by Brahim Ydir, Amine Ajdour, Iulia Antohe, Gabriel Socol, Marcela Socol, Luiza-Izabela Toderascu, Driss Saadaoui, Imade Choulli, Radouane Leghrib, Houda Lahlou

“…Notably, the 6% AZO samples exhibited an augmented selective sensitivity to H2S, demonstrating stable detection performance. …”
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Multi-Branch Network with Multi-Feature Enhancement for Improving the Generalization of Facial Forgery Detection by Siyu Meng, Quange Tan, Qianli Zhou, Rong Wang

“…The rapid development of deepfake facial technology has led to facial fraud, posing a significant threat to social security. With the advent of diffusion models, the realism of forged facial images has increased, making detection increasingly challenging. …”
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Fractional-Order Adaptive P-Laplace Equation-Based Art Image Edge Detection by Ming Chen

“…By comparing with other algorithms, the image edge detection effect is measured with the help of evaluation metrics such as peak signal-to-noise ratio and structural similarity, and the optimal value is selected iteratively so that the image with the best edge detection result is retained. …”
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Atomistic mechanism of non-selective cation permeation in cyclic nucleotide-gated CNGA1 ion channel by molecular dynamics simulations by Haoran Liu, Johann Biedermann, Han Sun

“…Owing to the high plasticity and large dimensions of its selectivity filter (SF), monovalent cation binding within the SF of the CNGA1 channel is more dynamic and diffuse compared to that in potassium-selective and hyperpolarization-activated cyclic nucleotide-gated (HCN) channels. …”
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AI-ready rectal cancer MR imaging: a workflow for tumor detection and segmentation by Heather M. Selby, Yewon A. Son, Vipul R. Sheth, Todd H. Wagner, Erqi L. Pollom, Arden M. Morris

“…Objective This study aimed to foster collaboration between a radiologist and two data scientists in the detection and segmentation of rectal tumors on T2- and diffusion-weighted MR images. …”
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Detection and antibiotic resistance of diarrheagenic Escherichia coli from patients with diarrhea in Ulaanbaatar, Mongolia by Munkhdelger Yandag, Altansukh Tsend-Ayush, Nyamaa Gunregjav, Otgontsetseg Erdenebayar, Bayarlakh Byambadorj, Nishi Juniichiro, Sarantuya Jav

“…Results: DEC pathogens were detected in 53.7% of 341 E. coli isolates. Enteroaggregative E. coli (EAEC) was the most common DEC pathotype identified by HEp-2 adherence assay and multiplex PCR methods in 97 samples (28.4%), followed by atypical enteropathogenic E. coli (EPEC) in 50 samples (14.7%), diffusely adherent E. coli (DAEC) in 25 samples (7.3%), enterohaemorrhagic E. coli (EHEC) in 6 samples (1.8%), enterotoxigenic E. coli (ETEC) in 4 samples (1.2%), and enteroinvasive E. coli (EIEC) in 1 sample (0.3%). …”
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Channel impulse response insensitive feature for non-coherent signal detection in molecular communication by Limin XIAO, Xiangrong XU, Zhuangkun WEI, Shenghan LIU, Yiwen LIU

“…To solve the inter-symbol interference (ISI) and background noise challenges of molecular communication via diffusion (MCvD),four ISI-resistant signal-features were deployed,and a reliable non-coherent signal detection algorithm,which was insensitive to different types of molecular channel impulse response (CIR),was proposed.Also,an adaptive decision threshold and theoretical bound of bit error rate (BER) were deduced.Simulation results demonstrate a lower BER of the proposed non-coherent scheme compared to the state-of-the-art schemes in the same order of computational complexity,therefore suggesting its potential applications for future nano-scale MC.…”
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Performance Analysis of Data Augmentation Approaches for Improving Wrist-Based Fall Detection System by Yu-Chen Tu, Che-Yu Lin, Chien-Pin Liu, Chia-Tai Chan

“…In this study, we analyze different data augmentation methodologies to enhance the performance of wrist-based fall detection systems using deep learning technology. Based on the results, the conditional diffusion model is an ideal data augmentation approach, which improves the F1 score by 6.58% when trained with only 25% of the actual data, and the synthetic data maintains a high quality.…”
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A Mathematical Survey of Image Deep Edge Detection Algorithms: From Convolution to Attention by Gang Hu

“…Edge detection, a cornerstone of computer vision, identifies intensity discontinuities in images, enabling applications from object recognition to autonomous navigation. …”
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Evaluating normative representation learning in generative AI for robust anomaly detection in brain imaging by Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel

“…Traditional anomaly detection methods often evaluate the anomaly detection performance, overlooking the crucial role of normative learning. …”
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