A computational DNA methylation method to remove contaminated DNA from spent embryo culture medium for noninvasive preimplantation genetic testingResearch in context by Yidong Chen, Jin Huang, Fuchou Tang, Lu Wen, Jie Qiao

“…By testing simulated SECM samples, the method demonstrated a substantial reduction in the false-negative rate even with up to 75% cumulus cell contamination. …”
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Diffusion and Risks of House Prices in the Netherlands by Alfred Larm Teye

“… The rate of home-ownership has increased significantly in many countries over the past decades. …”
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Population dynamics by E. G. Cooch, A. A. Dhondt

“…The interconnections between the various vital rates, their estimation, and incorporation into models, was the general subject of our plenary presentation by Hal Caswell (Caswell & Fujiwara, 2004). …”
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Planning with self‑organised initiatives by Igor Tempels Moreno Pessôa

“… Over the last half century, the Global South has faced a strong rise in the rate of urbanisation. Although this process differs from region to region, rapid urbanisation has created many challenges for countries in the Global South. …”
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Melatonin regulated through GhTDC5 enhances tryptophan decarboxylase against drought stress in cotton by Xin Yu, Xiugui Chen, Ning Wang, Maohua Dai, Zhining Yang, Yapeng Fan, Yuping Sun, Xinrui Zhang, Ruize Song, Menghao Zhang, Hao Lan, Fange Wu, Hui Huang, Xiao Chen, Lidong Wang, Xuke Lu, Shuai Wang, Lixue Guo, Junjuan Wang, Lanjie Zhao, Keyun Feng, Jing Jiang, Wuwei Ye

“…Abstract Tryptophan decarboxylase (TDC) is the rate-limiting enzyme in the biosynthesis of melatonin and plays a crucial role in melatonin production in plants. …”
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Inflectional Changes of Double Marked Form: Evidence from a Corpus Study of English Verbal System by Basima Othman Mahmood

“…It has been claimed that there is a correlation between this type of irregularization process and high word frequencies. The real rate and nature of these double-marked forms have rarely been documented. …”
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A novel twin time series network for building energy consumption predicting. by Zhixin Sun, Han Cui, Xiangxiang Mei, Hailei Yuan

“…To overcome these issues, the study proposes Twin Time-Series Networks (T2SNET), which incorporates a time-embedding layer and a Temporal Convolutional Network (TCN) to extract patterns from Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN), along with an adaptive fusion gate to combine energy consumption and meteorological data. …”
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A spatiotemporal model for urban taxi Origin–Destination prediction based on Multi-hop GCN and Hierarchical LSTM by Jiang Rong, Wangtu Xu, Yanjie Wen

“…HLSTM unit incorporates a standard LSTM gate to manage cell state updates, enabling selective access to the internal memory. …”
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Trypanosoma dionisii in China: ecology and tentative epidemiology by Qin Liu, Mu-xin Chen, Yu-chun Cai, Yuan-yuan Li, Zi-yi Wang, Yun-hai Guo, Yu-wan Hao, Jing-bo Xue, Yi-dan Jing, Fan-na Wei, Yong-bin Wang, Yue-jin Li, Hai-fang Wang, Jun-ling Sun, Ya-li Wang, Gang Wang, Na Wang, Nai-li Guo, Jian-cun Fang, Wei-xiao Chen, Xun-ming Zhou, Yang Yu, Yi Zhang, Jun-hu Chen, Qiang Wang, Shi-zhu Li, Ge Yan, Qun Li

“…Although no evidence of a high risk for human epidemic was found, the widespread presence of this parasites in bat species and a relatively high infection rate observed in the surveyed cats and dogs emphasize the emerging threat it poses to human health. …”
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Using online public animal price data as a signal for predicting an increase in animal disease outbreak reports: a pilot study on cross-correlation modeling in Thailand by Veerasak Punyapornwithaya, Supitchaya Srisawang, Chalita Jainonthee, Wengui Li, Ronello Abila, Bolortuya Purevsuren

“…Cross-correlation analysis was conducted to assess the relationship between animal prices and disease outbreak report patterns. Data from January 2021 to December 2023 (primary dataset) were analyzed to identify cross-correlation patterns, while data from January to September 2024 (extended dataset) were incorporated to evaluate the consistency of the observed cross-correlation over the study period. …”
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Optimization complexity and resource minimization of emitter-based photonic graph state generation protocols by Evangelia Takou, Edwin Barnes, Sophia E. Economou

“…We develop optimizers that minimize the number of entangling gates, reducing them by up to 75% compared to naive schemes for moderately sized random graphs. …”
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PathCare: Integrating Clinical Pathway Information to Enable Healthcare Prediction at the Neuron Level by Dehao Sui, Lei Gu, Chaohe Zhang, Kaiwei Yang, Xiaocui Li, Liantao Ma, Ling Wang, Wen Tang

“…PathCare employs an auxiliary sub-network that models future visit patterns to capture temporal health progression, coupled with a neuron-level filtering gate that adaptively selects relevant features while filtering out redundant information. …”
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Three-dimensional cell sheet model improves in vitro prediction accuracy of osteogenic potential for biodegradable magnesium-based metals by Liangwei Chen, Guanxi Wu, Siyu Liu, Ziyu Yan, Honglei Yue, Jianhua Zhu, Na Ge, Yifei Wang, Qingxiang Li, Guanqi Liu, Tingting Zhang, Haowen Zheng, Shaozhe Xin, Guangyunhao Sun, Chuanbin Guo, Jianmin Han

“…Flow cytometry showed higher Ki67 expression and lower ROS levels and apoptosis rate in cell sheets. ShRNA-mediated silencing of N-Cadherin in cell sheets significantly compromised their cytoprotective capacity against Mg metal-induced toxicity. …”
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Pentacene-Based Thin Film Transistor with Inkjet-Printed Nanocomposite High-K Dielectrics by Chao-Te Liu, Wen-Hsi Lee, Jui-Feng Su

“…The nanocomposite gate insulating film of a pentacene-based thin film transistor was deposited by inkjet printing. …”
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Demonstration of Scully–Drühl-type quantum erasers on quantum computers by Bo-Hung Chen, Dah-Wei Chiou, Hsiu-Chuan Hsu

“…On the IBM Quantum platform, delay gates can be employed to further defer the random choice, thereby amplifying the retrocausal effect. …”
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Effect of cholesterol on distribution, cell uptake, and protein corona of lipid microspheres at sites of cardiovascular inflammatory injury by Lingyan Li, Xingjie Wu, Qianqian Guo, Yu'e Wang, Zhiyong He, Guangqiong Zhang, Shaobo Liu, Liping Shu, Babu Gajendran, Ying Chen, Xiangchun Shen, Ling Tao

“…Then, the slow cellular uptake rate observed for CH@LM contributed to a prolonged duration of drug efficacy. …”
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Evaluating the Effects of Mitigating Urban Heat Islands of Green Infrastructure on Increasing the Productivity of Light and Heavy Work (Case Study: Tabriz Metropolitan) by Mahdi Herischian, Hassan Mahmoudzadeh, Rasoul Ghorbani

“…The primary inputs for the model included a land use/land cover raster map, a reference evapotranspiration (ET0) raster map, a biophysical table containing details about each land use/land cover class, a vector map of city buildings, and an energy consumption rate table categorized by building type and air temperature. …”
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Security Paper Design with Frequency-Selective Structure for X-Band Electromagnetic Detection System by Sang-Hwa Lee, Min-Sik Kim, Jong-Kyu Kim, Jong-In Lim, Ic-Pyo Hong

“…When a functional paper embedded with a frequency-selective pattern that selectively reflects a specific frequency is being leaked out of a security zone, the electromagnetic detection system receives and detects the intensity of the electromagnetic wave reflected from the security paper passing through an antenna gate, which transmits/receives RF signals. …”
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Performance Prediction of the Gearbox Elastic Support Structure Based on Multi-Task Learning by Chengshun Zhu, Zhizhou Lu, Jie Qi, Meng Xiang, Shilong Yuan, Hui Zhang

“…The adaptive gating mechanism, hierarchical nonlinear transformation, and effective capture of temporal dynamics in the LSTM significantly enhance the model’s ability to model complex nonlinear patterns. …”
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Clinical features of post-COVID-19 period. Results of the international register “Dynamic analysis of comorbidities in SARS-CoV-2 survivors (AKTIV SARS-CoV-2)”. Data from 6-month f... by G. P. Arutyunov, E. I. Tarlovskaya, A. G. Arutyunov, Yu. N. Belenkov, A. O. Konradi, Yu. M. Lopatin, A. P. Rebrov, S. N. Tereshchenko, A. I. Chesnikova, H. G. Hayrapetyan, A. P. Babin, I. G. Bakulin, N. V. Bakulina, L. A. Balykova, A. S. Blagonravova, M. V. Boldina, A. R. Vaisberg, A. S. Galyavich, V. V. Gomonova, N. Yu. Grigorieva, I. V. Gubareva, I. V. Demko, A. V. Evzerikhina, A. V. Zharkov, U. K. Kamilova, Z. F. Kim, T. Yu. Kuznetsova, N. V. Lareva, E. V. Makarova, S. V. Malchikova, S. V. Nedogoda, M. M. Petrova, I. G. Pochinka, K. V. Protasov, D. N. Protsenko, D. Yu. Ruzanau, S. A. Sayganov, A. Sh. Sarybaev, N. M. Selezneva, A. B. Sugraliev, I. V. Fomin, O. V. Khlynova, O. Yu. Chizhova, I. I. Shaposhnik, D. A. Shchukarev, A. K. Abdrahmanova, S. A. Avetisian, H. G. Avoyan, K. K. Azarian, G. T. Aimakhanova, D. A. Ayipova, A. Ch. Akunov, M. K. Alieva, A. V. Aparkina, O. R. Aruslanova, E. Yu. Ashina, O. Yu. Badina, O. Yu. Barisheva, T. I. Batluk, A. S. Batchayeva, R. A. Bashkinov, A. M. Bitieva, I. U. Bikhteyev, N. A. Borodulina, M. V. Bragin, A. M. Budu, G. A. Bykova, K. R. Vagapova, D. D. Varlamova, N. N. Vezikova, E. A. Verbitskaya, O. E. Vilkova, E. A. Vinnikova, V. V. Vustina, E. A. Gаlova, V. V. Genkel, E. I. Gorshenina, E. V. Grigorieva, E. Yu. Gubareva, G. M. Dabylova, I. A. Demchenko, O. Yu. Dolgikh, M. Y. Duyshobayev, D. S. Evdokimov, K. E. Egorova, A. N. Ermilova, A. E. Zheldybayeva, N. V. Zarechnova, Yu. D. Zimina, S. Yu. Ivanova, E. Yu. Ivanchenko, M. V. Ilina, M. V. Kazakovtseva, E. V. Kazymova, Yu. S. Kalinina, N. A. Kamardina, A. M. Karachenova, I. A. Karetnikov, N. A. Karoli, M. K. Karsiev, D. S. Кaskaeva, K. F. Kasymova, Zh. B. Kerimbekova, A. Sh. Kerimova, E. S. Kim, N. V. Kiseleva, D. A. Klimenko, A. V. Klimova, O. V. Kovalishena, E. V. Kolmakova, T. P. Kolchinskaya, M. I. Kolyadich, O. V. Kondriakova, M. P. Konoval, D. Yu. Konstantinov, E. A. Konstantinova, V. A. Kordukova, E. V. Koroleva, A. Yu. Kraposhina, T. V. Kriukova, A. S. Kuznetsova, T. Yu. Kuzmina, K. V. Kuzmichev, Ch. K. Kulchoroeva, T. V. Kuprina, I. M. Kouranova, L. V. Kurenkova, N. Yu. Kurchugina, N. A. Kushubakova, V. I. Levankova, N. A. Lyubavina, N. A. Magdeyeva, K. V. Mazalov, V. I. Majseenko, A. S. Makarova, A. M. Maripov, A. A. Marusina, E. S. Melnikov, N. B. Moiseenko, F. N. Muradova, R. G. Muradyan, Sh. N. Musaelian, A. O. Myshak, E. S. Nekaeva, N. M. Nikitina, B. B. Ogurlieva, A. A. Odegova, Yu. M. Omarova, N. A. Omurzakova, Sh. O. Ospanova, E. V. Pahomova, L. D. Petrov, S. S. Plastinina, V. A. Pogrebetskaya, D. V. Polyakov, D. S. Polyakov, E. V. Ponomarenko, L. L. Popova, N. A. Prokofeva, I. A. Pudova, N. A. Rakov, A. N. Rakhimov, N. A. Rozanova, S. Serikbolkyzy, A. A. Simonov, V. V. Skachkova, D. V. Soloveva, I. A. Soloveva, I. M. Sukhomlinova, A. G. Sushilova, D. R. Tagayeva, Yu. V. Titojkina, E. P. Tikhonova, D. S. Tokmin, A. A. Tolmacheva, M. S. Torgunakova, K. V. Trenogina, N. A. Trostianetckaia, D. A. Trofimov, M. A. Trubnikova, A. A. Tulichev, A. T. Tursunova, N. D. Ulanova, O. V. Fatenkov, O. V. Fedorishina, T. S. Fil, I. Yu. Fomina, I. S. Fominova, I. A. Frolova, S. M. Tsvinger, V. V. Tsoma, M. B. Cholponbaeva, T. I. Chudinovskikh, O. A. Shevchenko, T. V. Sheshina, E. A. Shishkina, K. Yu. Shishkov, S. Yu. Sherbakov, E. A. Yausheva

“…The highest mortality rate was observed in the first 3 months in the group of patients with class II-IV heart failure, as well as in patients with cardiovascular diseases and cancer. …”
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