Divergent trends in the burden of esophageal, gastric, and liver cancers in China by Yongjie Xu, Changfa Xia, Jiachen Wang, Yujie Wu, Wanqing Chen

“…Background: While China’s socioeconomic transformation has driven divergent trends in gastrointestinal cancers, comprehensive data on esophageal, gastric, and liver cancer burden remain limited. …”
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Performance Analysis of Cooperative Quadrature Spatial Modulation System With Hybrid Decode-Amplify-Forward Relaying Protocol by Xiangyan Bu, Ke Pang

“…Compered with the traditional CQSM system which only uses amplify-and-forward (AF) protocol and decode-and-forward (DF) protocol, the system has enhanced the spectral efficiency and the performance of the average bit error probability (ABEP). In the proposed CQSM system, the information bit selects the relay to forward the information, while the relay index carries the information. …”
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How to handle high subgenome sequence similarity in allopolyploid Fragaria x ananassa: linkage disequilibrium based variant filtering by Tim Koorevaar, Johan H. Willemsen, Dominic Hildebrand, Richard G.F. Visser, Paul Arens, Chris Maliepaard

“…Results Our analysis reveals that while erroneous variant types often display skewed average allele balances (AAB) for heterozygous calls, this measure alone is insufficient. …”
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A digital twin framework for real-time healthcare monitoring: leveraging AI and secure systems for enhanced patient outcomes by Ahmed K. Jameil, Hamed Al-Raweshidy

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Diffusion principles of SF6 tracer gas: constraints on SF6 mixing distance in mine tunnels by Fang Xu, Jian Liu, Dong Wang, Xue Liu

“…The traditional wind measurement method uses the average wind speed and average cross-sectional area of the tunnel to calculate the air volume. …”
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Disease burden of aortic aneurysm from 1990 to 2021 with a forecast to 2045: insights from the global burden of disease 2021 by Cuihong Tian, Xuan Zhang, Haoxian Tang, Nan Luo, Jingtao Huang, Hanyuan Lin, Qinglong Yang, Yequn Chen, Xuerui Tan

“…ASMR increased considerably, especially in countries with a low-middle SDI (1.29% per year), while it dropped particularly in countries with a high SDI (-1.65% per year). …”
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Global, regional, and national burdens of pancreatic cancer attributable to smoking from 1990 to 2021 and the projections to 2035:a systematic analysis from the global burden of di... by Roubing Du, Yu Wang, Mengshu Pan, Jie Zhu, Yaping Zhao, Chuanzhen Zhang, Changhong Liu, Yuan Gao, Yuan Gao

“…Join-point analysis indicated a decreasing trend in disease burden among high SDI regions while an increasing trend among low-middle SDI regions. …”
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Analysis on the Error Correction Method of 2m Temperature Hourly Forecast Based on CMA-GD Model by Jian LI, Qi FAN, Ying ZHANG, Xingsheng XU

“…The most significant meteorological component is temperature， and weather forecasting relies heavily on how accurately temperatures are predicted.This study uses a linear non-graded regression method to rectify the inaccuracies in temperature forecasts induced by terrain variation in the 2 m temperature hourly forecast product of the mesoscale numerical model （China Meteorological Administration Guangdong， CMA-GD）， and use the one-dimensional Kalman filtering method and the double-weighted moving average method to correct the results.The accuracy of the hourly distribution exhibits a diurnal variation feature， and the model terrain height deviation is linearly negatively connected with the temperature error mean value， according to the results.The daytime correction impact is superior than the nighttime correction effect following the ungraded regression method.recorrecting using the best time frame for mathematical correction techniques （15 days for the Kalman method and 20 days for the mean method）.It is discovered that the mean method's re-correction effect outperforms the Kalman methods， and that the correction effect is more pronounced during the day than at night.Summer and autumn have a better re-correction impact than winter and spring， with some negative correction effects in spring and little difference between the two techniques in the latter.In the former， the mean value method outperforms the Kalman method.There are eight stations with negative correction following the ungraded regression method， but no negative correction stations follow the mathematical correction methods.Therefore the northern region typically experiences a better corrective impact than the southern region.The fraction of correction magnitude for both MAE and ACC is positively correlated with a binomial connection.The terrain deviation correction method has the least slope and restricted correction effect， while the mean value approach has the best correlation and largest slope.An error assessment was conducted in the middle part of Poyang Lake Plain and the south Zhejiang-Fujian hilly region.The peak error value in the former was lower than that in the latter， and the correction amplitude at the peak was smaller.After correction， the MAE decreased by 25.1% and 19.8%， respectively.From November 2022 to January 2023， during frequent cold air intrusions， the MAE in the middle part of the Poyang Lake Plain decreased by 13.5%.With corrected forecast errors oscillating around the zero axis and a noticeable improvement in systematic positive errors， the model significantly overestimates the temperature forecast for high mountain areas.The temperature forecast errors oscillate with the smallest amplitude from August to October and the largest amplitude in spring and winter.Taking the warming process （May 1-6， 2022） and the strong cooling process （November 28-December 3， 2022） as examples， the corrected MAE decreased by 18.2% and 16.0%， respectively， indicating that the method has achieved stable correction effects during transitional weather.This composite method has good stability， strong forecast correction ability， easy to promote.…”
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Whole-genome sequencing and metagenomics reveal diversity and prevalence of Listeria spp. from soil in the Nantahala National Forest by Jia Wang, Claire N. Schamp, Lauren K. Hudson, Harleen K. Chaggar, Daniel W. Bryan, Katie N. Garman, Mark Radosevich, Thomas G. Denes

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Coordinated Jamming and Poisoning Attack Detection and Mitigation in Wireless Federated Learning Networks by Sofia Barkatsa, Maria Diamanti, Panagiotis Charatsaris, Stefanos Voikos, Eirini Eleni Tsiropoulou, Symeon Papavassiliou

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Primary Resonance Analysis of High-Static–Low-Dynamic Stiffness Isolators with Piecewise Stiffness, Viscous Damping, and Dry Friction by Giovanni Iarriccio

“…Results confirm the reliability of the KBM method in dealing with piecewise restoring forces while highlighting its limitations in case of high dry friction. …”
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Assessment of Harir Basin Against Soil Erosion in Kurdistan Region-Iraq by Mustafa J. Saber, Jehan M. Sheikh Suleimany

“…Moreover, 99.99% of the study area was under slight soil erosion, while only 0.01% was under moderate soil erosion. …”
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Using Time Clusters for Following Users’ Shifts in Rating Practices by Dionisis Margaris, Costas Vassilakis

“…It has been evaluated using numerous datasets, and has been found to introduce significant gains in rating prediction accuracy, while outperforming the dynamic average computation approaches that are presented earlier.…”
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New construction of mutually orthogonal complementary sequence sets by LIU Kai, MENG Fanfei, PENG Peidong

“…Experimental results demonstrate that the constructed MOCSS using such CPU matrices effectively controls the column sequence PAPR within the range of below two, while maintaining the flexibility of code capacity and length, providing a variety of signal selection options for the systems.…”
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Analysis of the Impact of Environmental Temperature and Humidity on Cotton Fiber Quality During Initial Processing by Yaosheng Zhu, Jianhao Zhang, Xudong Zhao, Hong Xu

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Thermal performance and entropy generation analysis of hybrid nanofluids in a 3D cylindrical microtube: Implications for biomedical applications by Chenxu Duan, Hassan Roshani, Payam Jalili, Bahram Jalili, Irshad Ahmad, Qasem M Al-Mdallal, Pan Zhang

“…Additionally, entropy generation decreases with increasing Richardson number but rises with Reynolds number, while the average Nusselt number improves with both parameters, ensuring effective heat transfer performance in medical devices.…”
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An exploratory study of history-based test case prioritization techniques on different datasets by Syed Muhammad Junaid Hassan, Dayang N. A. Jawawi, Johanna Ahmad

“…Secondly, random sorting does not produce optimal results while trying to solve the problem of equal priority in history-based TCP. …”
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A Comparison of Three Protocols for Determining Barbell Bench Press Single Repetition Maximum, Barbell Kinetics, and Subsequent Measures of Muscular Performance in Resistance-Train... by Matthew T. Stratton, Austin T. Massengale, Riley A. Clark, Kaitlyn Evenson-McMurtry, Morgan Wormely

“…Males showed significantly higher 1RM, average, and peak power (<i>p</i>s < 0.001), while females demonstrated a greater average concentric velocity (<i>p</i> = 0.031) at 1RM. …”
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Primary liver cancer disease burden in Cambodia during 1990–2021: a systematic analysis of datasets from the global burden of disease study 2021 by Duanyu Wang, Syphanna Sou, Sophearin Rith, Socheat Touch, Minghao Tan, Vicheth Virak, Kunpeng Du, Bunna Sik, Pengkhun Nov

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Prospects for Data Collection to Optimise Kid Rearing in Dutch Dairy Goat Herds by Eveline Dijkstra, Inge Santman-Berends, Tara de Haan, Gerdien van Schaik, René van den Brom, Arjan Stegeman

“…Birth weight emerged as a key predictor for ADG, while differences in weaning strategies had the greatest impact on postweaning performance. …”
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