New commercial behaviour as a reason of social and economic changes of divided towns on the Polish-German and Polish-Czech borders by Katarzyna Kulczyńska, Roman Matykowski, Elżbieta Bilska-Wodecka

“…This process involves, among other things, a heavy outflow of inhabitants, primarily young and better educated, to western lands and a steep slump in the total fertility rate. Still, the most important changes observed in the split towns over the last two decades have been consumer behaviour patterns determined, among other things, by differences in prices in the neighbouring states. …”
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Ultrafast Time-Stretch Optical Coherence Tomography Using Reservoir Computing for Fourier-Free Signal Processing by Weiqing Liao, Tianxiang Luan, Yuanli Yue, Chao Wang

“…We developed an RC-based model to interpret the temporal patterns in the interferometric signals, achieving high classification accuracy. …”
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Key features of observational research data preparation for evidence synthesis by A. A. Lazarev, K. V. Sapozhnikov, D. G. Tolkacheva, N. A. Sableva

“…This work was conducted within a review of asymptomatic hyperuricemia (AH) and was intended to lead to the consensus among rheumatologists on the management patterns of patients with AH in the Russian Federation.Materials and methods. …”
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Analysis of the circadian rhythm of biological processes in mouse liver and kidney by I. N. Podkolodnyy, N. N. Tverdokhleb, O. A. Podkolodnaya

“…It was assumed that the gene is in a phase with an increased level of translation if at a given time point its ribosome profiling rate for both replicas exceeded the daily average value for this gene. …”
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Trend analysis and spatiotemporal distribution of leishmaniasis disease incidence in Sri Lanka: A detailed review from 2009 to 2023. by Nayana Gunathilaka, Deshaka Jayakody, Rajitha Wickremasinghe

“…<h4>Conclusions</h4>This study reveals temporally regressive and spatially expanding incidence of cutaneous leishmaniasis in Sri Lanka with characteristic geographical patterns and disease hotspots, highlighting the need for comprehensive control strategies to prevent further spread and mitigate the impact of leishmaniasis in the country.…”
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Experimental and computational analysis of air injection as a mitigation technique for silt erosion in hydro turbines by Prashant Dhiman, Varun Pratap Singh, Ashish Karn

“…The measured output includes erosion rate, material loss, and surface erosion patterns. …”
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Optical and antibacterial properties of nickel oxide (NiO) nanoparticles: Effect of annealing temperature by P.K. Ingalagondi, M.S. Sannaikar, K. Mruthunjaya, N.C. Horti

“…The differences in their optical and antibacterial properties were examined. XRD patterns confirm the development of β-Ni(OH)2 phase and NiO phase. …”
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High prevalence of multidrug-resistant and ESBL-producing bacteria in a primary healthcare facility in Accra, Ghana: A cross-sectional study. by Frank Twum Aboagye, Mawutor Kwame Ahiabu, Hannah Segbefiah Akahoho, Emmanuel Armah, Samuel G Anang, Naa A S Amarteifio, Christabel Amoo, Abena Konadu Owusu-Senyah Enninful, Queenstar Dedei Quarshie, Naa Adjeley Kuma, Judith Wayo, Kantanka Addo-Osafo

“…Data on bacterial resistance patterns in primary healthcare settings remain limited in Ghana, impeding effective treatment guidelines and infection control measures. …”
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High levels of species' extirpation in an urban environment—A case study from Berlin, Germany, covering 1700–2023 by Silvia Keinath, Shenya De Silva, Nike Sommerwerk, Jörg Freyhof

“…We analysed spatio‐temporal patterns of species' extirpation on a multitaxonomic level using Berlin, the capital city of Germany. …”
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Spatial structure and influencing factors of agricultural civilization heritage in the Yellow River Basin by Huizhi Zhang, Fengyi Li, Jiahao Zhang, Hong Liang, Yingang Huangfu

“…Abstract Taking agricultural heritage system, intangible cultural heritage, and settlement heritage (including traditional villages and historically significant towns) as the research objects, this study analyzes the spatial pattern characteristics of agricultural civilization heritage in the Yellow River Basin (YRB). …”
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Effect of Porosity on Nonlinear Tip Deflection of Functionally Graded Piezoelectric Actuators by Mohammad Gholami, Mansour Alizadeh

“…The sensitivity of different patterns of porosity distribution along the thickness direction is explored on the dimensionless tip deflection of the actuator.…”
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Ecosystem‐Scale Carbon Dioxide, Methane and Water Vapor Fluxes From Subtropical Brackish Fishponds: Temporal Variability, Environmental Drivers, and Implications for Nature‐Based C... by Jiangong Liu, Suvadip Neogi, Derrick Y. F. Lai

“…At the current deforestation rate, the global carbon impact arising from mangrove conversion to fishponds could reach 109 Gt CO2‐equivalent by 2100. …”
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Machine heuristic in algorithm aversion: Perceived creativity and effort of output created by or with artificial intelligence by Sigurd Birk Heimstad, Anders Hauge Wien, Tarje Gaustad

“…While previous research has established algorithm aversion across various domains, our findings reveal nuanced patterns in creative contexts. Individuals consistently rate content labeled as AI-authored as less creative and less favorable compared to content labeled as human-authored. …”
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Reading English-Language Haiku: Processes of Meaning Construction Revealed by Eye Movements by Hermann J Mueller, Thomas Geyer, Franziska Günther, Jim Kacian, Stella Pierides

“…The results indicate that processes of meaning construction are reflected in patterns of eye movements during reading (1st-pass) and re-reading (2nd- and 3rd-pass). …”
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Architecture characterization of orchard trees for mechanical behavior investigations by Min Kyung Jeon, Matthew Burrall, Tae Hyuk Kwon, Jason T. DeJong, Alejandro Martinez

“…Local thickness analysis confirms that the root diameter decays at a higher rate near the trunk than in the remaining lateral roots, while the total cross-sectional area across a bifurcation node remains mostly conserved. …”
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Image Quality Assessment of Augmented Reality Glasses as Medical Display Devices (HoloLens 2) by Simon König, Simon Siebers, Claus Backhaus

“…HoloLens 2 was assessed for overall image quality, luminance, grayscale consistency, and color uniformity. Five participants rated the TG18-OIQ pattern under ambient lighting conditions of 2.4 and 138.7 lx. …”
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Pneumatic Sucker-Rod Machine for Dispersing Solid Mineral Fertilizers by V. A. Makarov, O. I. Zhuravleva, A. V. Shemyakin

“…(Results and discussion) The authors have made patterns of fertilizer transportation and metering with reel-type sowing units and determined the method and pattern of distributing an air-mineral mixture through the rod channels. …”
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I-AIR: intention-aware travel itinerary recommendation via multi-signal fusion and spatiotemporal constraints by Xiao Cui, Zhihua Wang, Ping Li, Qiang Xu

“…Additionally, many approaches decouple POI selection from itinerary construction and depend heavily on limited behavioral signals, failing to capture richer feedback such as ratings, dwell times, or click histories. To address these limitations, we propose an intention-aware deep learning framework that integrates diverse user signals into a unified itinerary planning model. …”
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Airway-microbiome-driven mechanisms of disease during optimised self-management: a lesson learned from mechanistic study of the Colour-COPD trial by Alice M Turner, Daniella Spittle, Karl Staples, David Cleary

“…Analysis of the microbial patterns, which would have been obtained from the respiratory microbiome, will be compared to antibiotic consumption for acute exacerbation of chronic obstructive pulmonary disease (days/year) steroid load (days/year and mg/year), acute exacerbation of chronic obstructive pulmonary disease rate, forced expiratory volume in 1 second and longitudinally within individuals to determine the impact of frequent courses of antibiotics at group and individual level. …”
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SOH Estimation Method for Lithium-Ion Batteries Using Partial Discharge Curves Based on CGKAN by Shengfeng He, Wenhu Qin, Zhonghua Yun, Chao Wu, Chongbin Sun

“…Next, a SOH estimation framework based on the CGKAN model is developed, where 1-Dimensional-Convolutional Neural Networks (1D-CNN) are used to extract deep features from the original data, Bidirectional Gated Recurrent Unit (BiGRU) captures the bidirectional dependencies of the time series, and Kolmogorov–Arnold Networks (KAN) enhances the modeling of complex nonlinear features through its nonlinear mapping capabilities, thereby improving the accuracy of SOH estimation. …”
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