Down but Not Out: The Consequences of Pretangle Tau in the Locus Coeruleus by Termpanit Chalermpalanupap, David Weinshenker, Jacki M. Rorabaugh

“…Recent evidence suggests that LC neurons accumulate aberrant tau species for decades before frank LC cell body degeneration occurs in AD, suggesting that a therapeutic window exists. In this review, we combine the literature on how pathogenic tau affects forebrain neurons with the known properties and degeneration patterns of LC neurons to synthesize hypotheses on hyperphosphorylated tau-induced dysfunction of LC neurons and the prion-like spread of pretangle tau from the LC to the forebrain. …”
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Analyzing Thermal Module Developments and Trends in High-Power LED by Jung-Chang Wang

“…This study utilizes thermal performance experiments with the illumination-analysis method and window program (vapour chamber thermal module, VCTM V1.0) to investigate and analyze the high-power LED (Hi-LED) lighting thermal module, in order to achieve the best solution of the fin parameters under the natural convection. …”
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Modelling of Rough Contact between Linear Viscoelastic Materials by Sergiu Spinu, Delia Cerlinca

“…The spatial discretization needs to be supported by temporal sampling of the simulation window when time-dependent viscoelastic constitutive laws are considered in the description of the material response. …”
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‘It is an emotional rollercoaster!!!’ Experiences of mothers of preterm newborns seeking care at a tertiary hospital in Ghana: a qualitative phenomenological study by Ruth Nimota Nukpezah, Gideon Awenabisa Atanuriba

“…Despite these, family-centred care was impactful and gave a window of opportunity for mothers to provide maternal roles. …”
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Control entropy: A complexity measure for nonstationary signals by Erik M. Bollt, Joseph D. Skufca, Stephen J . McGregor

“…We analyze entropy along a moving window of a time series, the entropy statistic tracking the behavior of slow variables of the data series. …”
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Bearing Feature Extraction Method Based on the Time Subsequence by Wang Dexue, Nie Fei, Zheng Zhifei, Yu Yongsheng

“…To solve this problem, a new bearing feature extraction method based on the time subsequence (BOTS) is proposed, which combines word package model and time subsequence. First, the sliding window is used to slide in the vibration signal to obtain multiple continuous and non-stationary time series, which are regarded as a document. …”
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An Emergency Packet Forwarding Scheme for V2V Communication Networks by Faika Hoque, Sungoh Kwon

“…Considering locations of vehicles, the proposed algorithm controls the broadcast of a warning message to reduce redundant EWM messages and adaptively chooses the contention window to compete with nonemergency transmission. …”
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Latitude-Time Total Electron Content Anomalies as Precursors to Japan's Large Earthquakes Associated with Principal Component Analysis by Jyh-Woei Lin

“…Previously PCA has been used to discriminate earthquake-associated TEC anomalies recognized by other researchers, who found that statistical association between large earthquakes and TEC anomalies could be established in the 5 days before earthquake nucleation; however, since PCA uses the characteristics of principal eigenvalues to determine earthquake related TEC anomalies, it is possible to show that such anomalies existed earlier than this 5-day statistical window.…”
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NATO in the Arctic: incentives and impediments by Dmitry A. Danilov

“…The U.S. is strengthening military cooperation with its northern allies, including the new ones, on a bilateral basis, but keeps open a window of opportunity to strengthen NATO as an organization in the Arctic.…”
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A Nonintrusive Load Monitoring Method for Microgrid EMS Using Bi-LSTM Algorithm by Dongguo Zhou, Yangjie Wu, Hong Zhou

“…This paper proposes a classification strategy for the nonintrusive load identification scheme based on the bilateral long-term and short-term memory network (Bi-LSTM) algorithm. The sliding window algorithm is used to extract the detected load event features and obtain the load features of data samples. …”
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Retinal revelations: Seeing beyond the eye with artificial intelligence by John Davis Akkara

“…By analyzing eye-related biomarkers, AI can utilize the eye as a window into the body’s systemic health. This field, known as oculomics, leverages AI and deep learning algorithms to process vast amounts of data from imaging techniques such as fundus photography, optical coherence tomography (OCT), OCT angiography, infrared iris imaging, slit-lamp photography, and external eye photography. …”
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Data-driven automated job shop scheduling optimization considering AGV obstacle avoidance by Qi Tang, Huan Wang

“…Under the AGV automatic path seeking mode, this paper adopts a data-driven Bayesian network method to portray the transportation time of AGVs based on the historical operation data to control the uncertainty of the transportation time of AGVs. Meanwhile, a time window is established to control the risk of AGV delay, and a data-driven Bayesian network is constructed to optimize the two-layer scheduling model of automated job shop and AGV. …”
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The COVID-19 pandemic art of Anna Szpakowska-Kujawska: from pastels to spatial compositions by Karolina Tomczak

“…These works include a series of pastels Kwadraty zaokienne (Squares outside the Window, or “pandemic squares”) from 2020 and spatial objects made of polystyrene foam and cardboard executed in the years 2021–2022. …”
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Adaptive Numerical Method for Approximation of Traffic Flow Equations by Neda Najafzadeh, Saeid Abbasbandy, Elyas Shivanian

“…The MLS method provided good results for these equations due to its high flexibility and high accuracy and has a moving window and obtains the solution at the shock point without any false oscillations. …”
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NEUVAC: Nonlinear Extreme Ultraviolet Irradiance Model for Aeronomic Calculations by Daniel A. Brandt, Aaron J. Ridley

“…The model is parameterized in terms of F10.7 and 54‐day averaged F10.7 in a backwards‐looking window. The model takes advantage of the high accuracy and resolution of FISM2, and the consistent availability of F10.7 data in order to provide the space weather community with an empirical irradiance model that requires only two inputs, and is applicable for solar EUV forecasting. …”
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$$\varLambda $$ Λ CDM model against gravity-thermodynamics conjecture: observational constraints after DESI 2024 by N. Shahhoseini, M. Malekjani, A. Khodam-Mohammadi

“…Utilizing recent updates from geometrical datasets, including the DESI BAO measurements (2024), Planck CMB anisotropy measurements (2018), and the Pantheon+ catalogue for SNIa (2022), we conduct a thorough analysis via the window of Tsallis cosmology. In the first step, our analysis reveals no significant deviation from the standard model when using DESI BAO data alone, Pantheon+ data alone, or a combination of both. …”
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Round-Trip Emergency Supply Distribution Model Based on Nonfixed Routes by Yanli Tang, Ying Xiong, Ying Chen

“…According to model features, 4 constraints are set, including flow balance, capacity, vehicle scheduling, and time window. On this basis, a compound algorithm combining 2-opt and tabu search is designed to obtain the optimal plan of the model. …”
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Mutant Prevention Concentrations of Imipenem and Meropenem against Pseudomonas aeruginosa and Acinetobacter baumannii by E. Dahdouh, S. H. Shoucair, S. E. Salem, Z. Daoud

“…However, the Mutant Selection Window was found to be dependent on the degree of resistance but not on a particular mechanism of resistance. …”
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Research on autonomous navigation of mobile robots based on IA-DWA algorithm by Quanling He, Zongyan Wang, Kun Li, Yuting Zhang, Menglong Li

“…Abstract To improve the efficiency of mobile robot movement, this paper investigates the fusion of the A* algorithm with the Dynamic Window Approach (DWA) algorithm (IA-DWA) to quickly search for globally optimal collision-free paths and avoid unknown obstacles in time. …”
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New Methods in Exploring Old Topics: Case Studying Brittle Diabetes in the Family Context by Moritz Philipp Günther, Peter Winker, Stefan A. Wudy, Burkhard Brosig

“…The optimized multivariate lag selection process allowed for more specific, dynamic, and statistically reliable results (increasing R2 tenfold in explaining glycemic variability), which were derived from a larger window of past explanatory variables (lags). Such highly quantitative versus historic more qualitative approaches to case study analysis of psychosomatics surrounding diabetes in adolescents were reflected critically.…”
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