Co‐Occurrence Patterns Do Not Predict Mutualistic Interactions Between Plant and Butterfly Species by Esteban Menares, Hugo Saíz, Noëlle Schenk, Enrique G. de laRiva, Jochen Krauss, Klaus Birkhofer

“…Inferring species interactions from species co‐occurrence patterns is increasingly being used; however, recent studies have highlighted some limitations. …”
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Assessing data and sample complexity in unmanned aerial vehicle imagery for agricultural pattern classification by Linara Arslanova, Sören Hese, Marcel Fölsch, Friedemann Scheibler, Christiane Schmullius

“…The study also proposes a customized set of input layers for each crop type and identifies minimum patch sizes to enhance the efficiency of detecting specific agricultural patterns. It has been confirmed that to exploit texture information for classification (at smaller sample patch sizes < 120 pixels), Ground Sampling Distances (GSDs) between 0.027 m and 0.064 m (for RGB and CIR sensors of commercial drones, respectively) are suitable for capturing detailed patterns of Corn and Spring Barley. …”
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Helicobacter pylori antibacterial resistance patterns in Latvia: results from the Gistar pilot study by D. Rudzīte, R. Vangravs, I. Daugule, Ģ. Šķenders, I. Poļaka, A. Vanags, J. Atstupens, I. Tolmanis, P. Pūpola, Y. Tarasenko, J. Park

“…None of the cultures displayed resistance to tetracycline or amoxicillin. Eight resistance patterns were detected: 34 participants had resistance to one of the tested antibiotics; six participants had double resistance, and one participant had resistance to metronidazole, clarithromycin, and levofloxacin. …”
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Patterns of linear growth and formation of annulus on scales of pacific herring in Peter the Great Bay by L. A. Chernoivanova

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The Efficacy of Pattern Separation Training in Antidepressant Treatment and the Exploration of Its Drug-Target Alternatives by Liu Jia

“…At the same time, we use the transcriptome to detect changes in molecular mechanisms brought about by pattern separation training, find differentially expressed genes, and probe deeply into the molecular mechanisms behind them in order to find potential drug targets. …”
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Spatiotemporal patterns of accumulation and surface roughness in interior Greenland with a GNSS-IR network by D. J. Pickell, R. L. Hawley, A. LeWinter

“…We use the global navigation satellite system interferometric reflectometry (GNSS-IR) technique with a novel, low-cost GNSS network of 12 stations in the vicinity of the ice sheet summit to reveal temporal and spatial patterns of accumulation of the upper snow layer. We show that individual measurements are highly precise (<span class="inline-formula">±2.8</span> cm), while the aggregate of hundreds of daily measurements across a large spatial footprint can detect millimeter-level surface changes and is biased by <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M2" display="inline" overflow="scroll" dspmath="mathml"><mrow><mo>-</mo><mn mathvariant="normal">2.7</mn><mo>±</mo><mn mathvariant="normal">3.0</mn></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="52pt" height="10pt" class="svg-formula" dspmath="mathimg" md5hash="18d7b8dc74f09b9e31b658aba1690875"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="tc-19-1013-2025-ie00001.svg" width="52pt" height="10pt" src="tc-19-1013-2025-ie00001.png"/></svg:svg></span></span> cm compared to a unique validation data set that covers a similar spatial extent to the instrument sensing footprint. …”
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What are the radiographic prevalence and anatomical patterns of maxillary sinus septa in a Turkish cohort? by Ibrahim Burak Yuksel, Sumeyye Celik Ozsoy, Muhammet Emin Arslan, Fatma Altiparmak, Hatice Yilmaz, Ali Altindag, Guldane Magat

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Energy-based jamming pattern open set recognition via spiking wavelet transformer. by Xincheng Zhong, Junbiao Cui, Zhuangwei Ji

“…Jamming pattern recognition (JPR) is critical in modern communication systems, including civil, and industrial applications, where complex and unpredictable jamming patterns (JPs) frequently disrupt normal operations. …”
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Phylogenetic Analysis and Expression Patterns of the MAPK Gene Family in Wheat (Triticum aestivum L.) by Wei-wei LIAN, Yi-miao TANG, Shi-qing GAO, Zhao Zhang, Xin ZHAO, Chang-ping ZHAO

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Determination of Helicobacter pylori antibiotic resistance patterns in pediatric gastroenterology patients: the Hacettepe experience by Salih Maçin, Hülya Demir, Hasan Özen, Aysel Yüce, Yakut Akyön

“… In this study, our aim was to show the antibiotic resistance patterns of Helicobacter pylori (H. pylori) strains isolated from patients who had undergone esophagogastroduodenoscopy at Hacettepe University. …”
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Pattern of Neurological Intracranial Lesions on Magnetic Resonance Imaging in Sokoto, North Western Nigeria by Farouk Kabir Umar, Mohammed Dahiru

“…Objectives: The objective of the study was to determine the pattern of intracranial neurologic lesions on MRI. …”
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Risk factors and prescription patterns analysis for macrolide-resistant Mycoplasma pneumoniae pneumonia in children by Yun Lu, Wen-jing Li, Xuan-xuan Wang, An-qi Huang, Hong Cheng

“…This study aimed to illustrate prescription patterns among children diagnosed with either macrolide-sensitive Mycoplasma pneumoniae pneumonia (MSMPP) or MRMPP and to further analyze the risk factors associated with MRMPP. …”
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Topological data analysis of pattern formation of human induced pluripotent stem cell colonies by Iryna Hartsock, Eunbi Park, Jack Toppen, Peter Bubenik, Elena S. Dimitrova, Melissa L. Kemp, Daniel A. Cruz

“…By applying our pipeline to certain stem cell colonies, we detected subtle differences in patterning that reflect distinct spatial organization associated with loss of pluripotency. …”
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Azithromycin Resistance Patterns in Escherichia coli and Shigella before and after COVID-19, Kenya by Elizabeth A. Odundo, Erick C. Kipkirui, Margaret C. Koech, Mary C. Kirui, Ronald K. Kirera, Nancy C. Kipkemoi, Janet N. Ndonye, Alex Ragalo, Collins K. Kigen, James W. Muturi, Vanessa N. Onyonyi, Gathii Kimita, Erick K. Muthanje, Marissa K. Hetrich, Evelyn W. Mahugu, Kirti K. Tiwari, Hunter J. Smith

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Eight-Figure Pattern for Enhancing the Searching Process of Grey Wolf Optimization (Eight-GWO) by Lec. Ali Hakem Alsaeedi, Suha Muhammed Hadi, Yarub Alazzawi, Emad Badry Badry

“…The proposed model is based on simulating eight pattern movements and embedded with a Grey Wolf Optimizer algorithm (GWO). …”
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VID: Human identification through vein patterns captured from commodity depth cameras by Syed W. Shah, Salil S. Kanhere, Jin Zhang, Lina Yao

“…Abstract Herein, a human identification system for smart spaces called Vein‐ID (referred to as VID) is presented, which leverage the uniqueness of vein patterns embedded in dorsum of an individual's hand. …”
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Protein pattern analysis in tolerant and susceptible wheat cultivars under salinity stress conditions by Marouf KHALILI, Mohammad Reza NAGHAVI, Said YOUSEFZADEH

“…To investigate proteome pattern of wheat cultivars, young leaves were collected from tillering stage of seedlings two weeks after development of the salinity stress. …”
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Displacement Patterns and Predictive Modeling of Slopes in the Bayan Obo Open-Pit Iron Mine by Penghai Zhang, Yang Li, Xin Dong, Tianhong Yang, Honglei Liu

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Primary study on the expression pattern and function of zinc metalloproteinase NAS-31 in Haemonchus contortus by HUANG Yan, ZHANG Hui, TONG Danni, ZHOU Jingru, WU Fei, CHEN Xueqiu, YANG Yi, MA Guangxu, DU Aifang

“…In summary, we confirmed the expression pattern of NAS-31 in H. contortus. This experiment lays the foundation for further research on the biological functions of Hc-nas-31.…”
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Functional levels and MRI patterns of muscle involvement in upper limbs in Duchenne muscular dystrophy. by Claudia Brogna, Lara Cristiano, Tommaso Tartaglione, Tommaso Verdolotti, Lavinia Fanelli, Luana Ficociello, Giorgio Tasca, Roberta Battini, Giorgia Coratti, Nicola Forcina, Roberto De Santis, Giulia Norcia, Sara Carnicella, Cesare Colosimo, Pierre Carlier, Marika Pane, Eugenio Mercuri

“…They were all assessed using the Performance of Upper Limb (PUL) test and muscle MRI of shoulder, arm and forearm in order to establish if the functional scores obtained at shoulder, mid and distal level related to specific patterns of involvement in each upper limb segment on muscle MRI. …”
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