Dentate gyrus granule cell activation following extracellular electrical stimulation: a multi-scale computational model to guide hippocampal neurostimulation strategies by Shayan Farzad, Shayan Farzad, Tianyuan Wei, Tianyuan Wei, Jean-Marie C. Bouteiller, Jean-Marie C. Bouteiller, Gianluca Lazzi, Gianluca Lazzi, Gianluca Lazzi, Gianluca Lazzi

“…The resulting model simulates electric fields generated by virtual electrodes in the perforant path of entorhinal cortical (EC) axons projecting to the dentate gyrus (DG) and predicts DG granule cell activation via synaptic inputs.ResultsWe determined stimulation amplitude thresholds required for granule cell activation at different electrode placements along the perforant path. …”
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A quantitative LC-MS/MS method for residues analysis of 62 plant growth regulators and the investigation of their effects on the quality of traditional Chinese medicinal: Codonopsi... by Hongxu Zhou, Hongxu Zhou, Yue Ren, Yangli Wang, Jing Su, Xiangmin Zhou, Siyu Huang, Rui Yan, Jun Zeng, Min Chen, En Zhang, Xiaohu Chen

“…In plant metabolomics, the arrangement of CR samples, which have been exposed to different fertilization levels, along the axes of partial least squares-discriminant analysis (PLS-DA) indicates that the chemical composition of CR experiences substantial alterations once a particular fertilization threshold is surpassed. …”
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Bayesian FDOA Positioning with Correlated Measurement Noise by Wenjun Zhang, Xi Li, Yi Liu, Le Yang, Fucheng Guo

“…Conventional localization algorithms such as the two-stage weighted least squares (TSWLS) method, which jointly exploits TDOA and FDOA measurements for positioning, are thus no longer applicable since they will suffer from the thresholding effect and yield meaningless localization results. …”
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Numerical Simulation-Based Study on the Arching Effect in Subsequent Backfill by Xuebin Xie, Wei Wang

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Machine learning with the body roundness index and associated indicators: a new approach to predicting metabolic syndrome by Yaxuan He, Zekai Chen, Zhaohui Tang, Yuexiang Qin, Fang Wang

“…Objective To develop a non-invasive prediction model for MetS by integrating body roundness index (BRI), gender, age, height, and waist circumference with machine learning algorithms, and to validate its generalizability across different ethnic groups. Methods We trained and validated machine learning models using a retrospective health examination dataset from Central South University (D1, n = 268,942) and externally validated them on a European cohort (D2, n = 60,799). …”
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Exploring the impact of bilingual education on student outcomes: A qualitative student-centric approach by Gnana Sanga Mithra S, Ananth Padmanabhan

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Increase in colonic propionate as a method of preventing weight gain in adults aged 20–40 years: iPREVENT, a multicentre, double-blind, randomised, parallel-group trial by Gary Frost, Joana C Vasconcelos, Jennifer E Pugh, Aisha Anjum, Katerina Petropoulou, George Thom, Louise McCombie, Martina Tashkova, Sumayya Alshehhi, Daphne Babalis, Leah Holroyd, Christina Prechtl, Tom Preston, Mike J Lean, Waljit Dhillo, A Toby Prevost, and Douglas Morrison

“…At 12 months, a compliance threshold of ≥ 50% was reached by 53% (72/135) of the inulin control arm and 63% (85/135) of the IPE arm. …”
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Innovative deep learning classifiers for breast cancer detection through hybrid feature extraction techniques by S. Vijayalakshmi, Binay Kumar Pandey, Digvijay Pandey, Mesfin Esayas Lelisho

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Insulator Partial Discharge Localization Based on Improved Wavelet Packet Threshold Denoising and <inline-formula><math display="inline"><semantics><mrow><msub><mrow><mi mathvarian... by Hongxin Ji, Zijian Tang, Chao Zheng, Xinghua Liu, Liqing Liu

“…Therefore, this paper proposes a three-dimensional spatial localization method of the PD source with a four-element ultra-high-frequency (UHF) array based on improved wavelet packet dynamic threshold denoising and the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>G</mi></mrow><mrow><mi>x</mi><mi>x</mi></mrow></msub><mo>−</mo><mi>β</mi></mrow></semantics></math></inline-formula> generalized cross-correlation algorithm. …”
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Temperature simulation analysis and wear experimental of diamond abrasive grains cutting steel mixed materials by Min WEI, Yongjin SHI, Zihang GUO

“…The temperature rise in the cutting zones under different cooling methods is analyzed. Finally, experimental cutting tests using diamond wire saws on reinforced concrete material workpieces are conducted to investigate the failure behavior and wear rate of the wire saws under different cooling conditions. …”
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Valuation and compensation selection algorithm of simulation interferences by S. V. Kozlov

“…Using estimated-compensation method the selection it's motivated the algorithm simulation of interference evaluating the time of arrival and complex amplitude of the output signal consistent with the true signal of the filter, the weight subtracting the copy of the true signal from the input implementation, the formation of sufficient statistics for the two alternatives are «slow» and «fast» differences false signal from the true and comparing them with the threshold. …”
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Spatial Distribution Characteristics and Co-occurrence Risk of Rainstorms and High Tide Levels in Guangzhou by Zheng Yangkun, Wang Feng, Wei Qiuying, Zhang Yun, Yang Fang, Hu Maochuan

“…Rainfall sequences and corresponding tide-level sequences for each zone were selected using the peak-over-threshold sampling method. On this basis, the designed combinations of rainfall and tide levels under different joint return periods were calculated using Copula functions and the co-frequency method, and their spatial distribution characteristics were analyzed. …”
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Early selection of superior germplasm for oil-producing Eucalyptus maideni F. v. Muell by Zhuangyue Lu, Mei Li, Xuexian Li, Zhengxiong Zhao, Zilin Cao, Yulan Xu, Guanben Du, Xiaoli Wang

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Cinética del lactato como método de entrenamiento de la fuerza en población con factores de riesgo (Lactate kinetics as a strength training method in a population with risk factors... by Mauro Tauda, Eduardo Cruzat Bravo, Felipe Ignacio Suárez Rojas

“…The estimated effect sizes indicate that these variables have a moderate impact on the observed differences between groups and support the utility of these variables, primarily lactate, as a training method. …”
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Unravelling the Molecular Identity of Bulgarian Jumping Plant Lice of the Family Aphalaridae (Hemiptera: Psylloidea) by Monika Pramatarova, Daniel Burckhardt, Igor Malenovský, Ilia Gjonov, Hannes Schuler, Liliya Štarhová Serbina

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Room-Temperature Lasing in Self-Assembled Micro-Rings of CdSe/ZnS Quantum Dots by Xiaoyu Wang, Zelei Chen, Haibin Zhao, Jun Wang

“…The photoluminescence spectra of the QD micro-rings with different pump fluences are studied, and photon lasing with a narrow linewidth (0.3 nm) is found to have been achieved in the micro-rings above the threshold (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>23</mn><mo> </mo><mi mathvariant="sans-serif">μ</mi><mrow><mi mathvariant="normal">J</mi><mo> </mo><mi mathvariant="normal">c</mi></mrow><msup><mrow><mi mathvariant="normal">m</mi></mrow><mrow><mo>−</mo><mn>2</mn></mrow></msup></mrow></semantics></math></inline-formula>). …”
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Technological and Socio‐Demographic Factors Influencing Telemedicine Literacy in Trinidad and Tobago: A Cross‐Sectional Study Using Multidimensional Approach by Ngozika E. Ezinne, Isaac Koomson, Anayochukwu E. Anyasodor, Ellen K. Antwi‐Adjei, Dipesh Bhattarai, James Armitage, Uchechukwu L. Osuagwu

“…The study employed the Alkire‐Foster multidimensional method to measure the telemedicine literacy of participants. …”
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Assessing the effects of engineered oyster reefs on shoreline change using drones by Megan E. Geesin, Georgette L. Tso, Hannah Sirianni, Siddharth Narayan, Siddharth Narayan, Chris J. Baillie, Praveen D. Malali, Brandon J. Puckett, Justin T. Ridge, Rachel K. Gittman, Rachel K. Gittman

“…Drones (or small uncrewed aerial systems [sUAS]) coupled with structure-from-motion (SfM) photogrammetry have recently been suggested as a low-cost method that offers optimal spatial coverage, fine-scale resolution, and high vertical accuracy for monitoring changes around living shorelines.MethodsWe evaluated how using different vertical and horizontal uncertainty thresholds for detection of drone-based shoreline change can influence interpretation of performance of engineered oyster reefs on coastal morphology and vegetation. …”
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²²²Rn Exhalation Rate of Building Materials: Comparison of Standard Experimental Protocols and Radiological Health Hazard Assessment by Francesco Caridi, Lorenzo Pistorino, Federica Minissale, Giuseppe Paladini, Michele Guida, Simona Mancini, Domenico Majolino, Valentina Venuti

“…In detail, six types of natural stones frequently employed for the construction of buildings of historical-artistic relevance were analyzed using the closed chamber method (CCM) combined with the Durridge Rad7 system, by using two experimental protocols that differed in the measurement duration: 10 days (<i>Method 1</i>) versus 24 h (<i>Method 2</i>). …”
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Segmentation of Images Used in Unmanned Aerial Vehicles Navigation Systems by Udovenko S., Tiurina V., Boychenko O., Breus P., Onishchenko Yu., Gnusov Yu., Svitlychnyi V.

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