Exploring C-peptide loss in type 1 diabetes using growth curve analysis. by Rachel E J Besser, Johnny Ludvigsson, Peter C Hindmarsh, Tim J Cole

“…The aims were to summarise the pattern of CP loss (i.e. growth curve shape) in individual patients in simple terms, and to identify baseline characteristics that predict this pattern in individuals.…”
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Landslide and Collapse Susceptibility Analysis in Wenchuan Earthquake-damaged Area Based on Ensemble Learning Methods by DING Jiawei, WANG Xiekang

“…LightGBM demonstrated higher precision, while XGBoost yielded superior results in the F₁ score. …”
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Aberrometric, Geometrical, and Biomechanical Characterization of Sound-Induced Vibrational Modes of the Living Human Cornea by Francisco J. Ávila, Óscar del Barco, Maria Concepción Marcellán, Laura Remón

“…Sound-induced corneal wavefront aberration maps were reconstructed as a function of sound frequency and isolated from the natural state. While maps of low-order aberrations (LOA) revealed symmetric geometrical patterns, those corresponding to high-order aberrations (HOA) showed complex non-symmetric patterns. …”
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“Simplifying” Digital Complexity? A Socio-Technical Perspective. Editorial Introduction to Issue 33 of CSIMQ by Mikko Rajanen, Aurelio Ravarini

“…A socio-technical perspective sees an organization as a combination of two components – a social and a technical one. The real pattern of behavior in the organization is determined by how well these parts fit each other. …”
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A novel multi-step methodology for stochastic simulation of streamflow time series using PcStream clustering by Shalini Balaram, Roshan Srivastav, K Srinivasan

“…A Markov chain model regenerates cluster series while the nearest neighbour approach fills them with historical data. …”
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Investigation of a transformer-based hybrid artificial neural networks for climate data prediction and analysis by Shangke Liu, Ke Liu, Zheng Wang, Yuanyuan Liu, Bin Bai, Rui Zhao

“…Firstly, the Transformer model is introduced to capture the complex patterns in cimate data time series through its powerful sequence modeling capabilities. …”
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Retrieval of Dissolved Organic Carbon Storage in Plateau Lakes Based on Remote Sensing and Analysis of Driving Factors: A Case Study of Lake Dianchi by Yufeng Yang, Wei Gao, Yuan Zhang

“…Interannual analysis reveals wind speed and forest coverage as dominant drivers, while monthly variations correlate strongly with water temperature. …”
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Linear and Machine Learning modelling for spatiotemporal disease predictions: Force-of-Infection of Chagas disease. by Julia Ledien, Zulma M Cucunubá, Gabriel Parra-Henao, Eliana Rodríguez-Monguí, Andrew P Dobson, Susana B Adamo, María-Gloria Basáñez, Pierre Nouvellet

“…ML methods will help characterise the mean behaviour of the estimates, while LM will provide insight into the uncertainty surrounding such estimates. …”
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Toward a physics-guided machine learning approach for predicting chaotic systems dynamics by Liu Feng, Yang Liu, Benyun Shi, Jiming Liu

“…However, these methods rely solely on historical observations while ignoring the underlying mechanisms that govern the systems' behaviors. …”
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Q-factor Estimation Method Based on Time-varying Wavelet by Daming GE, Jianguo SONG

“…This leads to significant errors in Q values derived from linear fitting, which fail to meet the requirements for lithological interpretation and pore fluid prediction. …”
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Modeling the Hydrological Process of the Genale Dawa-3 Dam Watershed, Ethiopia by Ashenafi Dechasa, Wakjira T. Dibaba, Alemu O. Aga, Mezgebu Geme Worku, Miliyon Dida Feye, Firaol Bedada Kopesa, Bekele Terefe Gebisa, Brook Legese, Amare Tura Abate

“…Evapotranspiration was found to account for 64.66% of precipitation loss, while surface runoff, groundwater flow, and water yield were each responsible for 12.62%, 9.47%, and 32.28% of the annual water balance, respectively. …”
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Collective intermittent exploration in fish schools is mediated by visual cues by Deze Liu, Daniel Burbano

“…Exploratory behaviour is fundamental to animal collectives, directly influencing fitness through resource acquisition and predator avoidance. …”
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Improving phenological event identification in trees using manually measured dendrometer data: conventional approaches vs. the novel two-stage threshold approach by Przemysław A. Jankowski, Przemysław A. Jankowski, Rafael Calama, Jorge Aldea, Matías García, Guillermo Madrigal, Marta Pardos

“…Accurate detection of phenological events, such as growth onset, cessation, and seasonal transitions, is essential for understanding tree growth dynamics, particularly in Mediterranean forests where bimodal growth patterns are common. While microcore analysis remains the most precise method, its labor-intensive nature has led researchers to rely on dendrometer-based approaches. …”
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Advancing dynamic quantum crystallography: enhanced models for accurate structures and thermodynamic properties by Helena Butkiewicz, Michał Chodkiewicz, Anders Ø. Madsen, Anna A. Hoser

“…Advancements in theory, experimental techniques, diffractometers and detection technology have led to the acquisition of highly accurate diffraction patterns, surpassing previous expectations. Extracting comprehensive information from these patterns necessitates different models due to the influence of both electron density and thermal motion on diffracted beam intensity. …”
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A theory of memory for binary sequences: Evidence for a mental compression algorithm in humans. by Samuel Planton, Timo van Kerkoerle, Leïla Abbih, Maxime Maheu, Florent Meyniel, Mariano Sigman, Liping Wang, Santiago Figueira, Sergio Romano, Stanislas Dehaene

“…Both subjective complexity ratings and objective violation detection performance were well predicted by our theoretical measure of complexity, which simply reflects a weighted sum of the number of elementary instructions and digits in the shortest formula that captures the sequence in our language. While a simpler transition probability model, when tested as a single predictor in the statistical analyses, accounted for significant variance in the data, the goodness-of-fit with the data significantly improved when the language-based complexity measure was included in the statistical model, while the variance explained by the transition probability model largely decreased. …”
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Substance use among Indian Physicians: A narrative review by Yesh Chandra Singh, Roshan Bhad, Arun Kandaswamy

“…Aim: We conducted a narrative review to assess the rate and pattern of substance use among Indian physicians. …”
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Retrieval of Soil Moisture in the Yutian Oasis, Northwest China by 3D Feature Space Based on Optical and Radar Remote Sensing Data by Yilizhati Aili, Ilyas Nurmemet, Shiqin Li, Xiaobo Lv, Xinru Yu, Aihepa Aihaiti, Yu Qin

“…Through systematic analysis of feature space partitioning patterns across soil moisture gradients, the Optical–Radar Soil Moisture Retrieval Index (ORSMRI) was proposed, and fitting analysis was conducted by measured soil moisture. …”
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Mechanical responses of sandstone exposed to triaxial differential cyclic loading with distinct unloading rates of confining stress: A lab scale investigation by Z. Y. Song, W. H. Zhang, Z. Yu, Y. Zhao, M. Zhang, W. G. Dang

“…The confining stress unloading rate can dominate the radial strain rate, while the axial DCL pattern has an unpronounced effect. …”
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Visual Experimental Study of Influence of Fuel Rod Bundle Spacing on Fission Gas Release under Fuel Cladding Failure Conditions by LI Shengkang, CAI Jiejin

“…Current research primarily focuses on fluid flow patterns, neglecting the influence of rod bundle spacing on bubble behavior within the sub-channel. …”

Integration of smart insoles for gait assessment in exoskeleton assisted rehabilitation by Luigi D’Arco, Haiying Wang, Huiru Zheng

“…Abstract A robotic exoskeleton enables individuals with limited or no mobility to engage in moderate exercises, thereby promoting physical fitness and overall well-being. However, exoskeletons alone do not provide comprehensive insights into gait pattern monitoring and analysis over time. …”
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