Regional lymph node invasion in pediatric non-rhabdomyosarcoma soft tissue sarcoma: an international cohort study from the International Soft Tissue Sarcoma ConsortiumResearch in c... by Daniel Orbach, Matthieu Carton, Amadeus T. Heinz, Lise Borgwardt, J Herve Brisse, Carlo Morosi, Erin R. Rudzinski, Akmal Safwat, Monika Sparber-Sauer, Stephanie Terezakis, Andrea Ferrari, Aaron R. Weiss, William H. Meyer, David O. Walterhouse, Timothy B. Lautz

“…We therefore to analyze the rate of N1 at diagnosis, the pattern of nodal relapse, and the prognostic impact of N1 in pediatric patients with NRSTS. …”
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Trends in the molecular epidemiology of human papillomavirus in males from the plateau region of Southwest China: an 11-year retrospective analysis (2014–2024) by Jian-Peng Hu, Jun-Ling Wang, Yun Li, Mei Yang, Jing Li, Hong-Ying Li, Na Qiao, Chao-Fu Yue, Hong-Xia Liu, Xiu-Ping Li, Jin-Si Yang, Qian Xiong, Zhe-Wei Fang, Jian-Dong Zhang, Ting Ji, Zong-Sheng Wu, Rui Zhu, Yin-Yu Zhou, Fan Zhang, Shu-Min Li, Hong-Na Li, Chun-Ju Yang, Zheng-Fu Zhang, Fei He, Yan-Liang Zhang, Yong Sun, Hong-Wei Li

“…The coverage rates of the currently available bivalent, quadrivalent, and nonavalent HPV vaccines were 5.18%, 66.84%, and 73.17%, respectively. …”
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Breeding of a new mid-to-late ripening apple cultivar Wangyuebingcui by XU Haihong, YANG Kai, LI Guangjin, ZHANG Guoqiang, TIAN Ge, AI Bohao, LI Xuqiang, WANG Junya

“…The cultivar combines high budbreak rate with moderate branching capacity, exhibiting spur-type growth pattern, sustained cluster-base productivity, and axillary flowering propensity. …”
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Effect of Chemical Processed Barley Grain (Hordeum vulgare) Through Steam Infrared Flaking on Productive and Parameters of Ruminal Fermentation in Holstein Lactating Cows by Amir Honarmand, Seyed Alireza Vakili, Mohsen Danesh Mesgarani, Abdolmansour Tahmasebi

“…Steam-infrared heated-flaking is a physical-specific process and it impresses on starch gelatinization and protein denaturation which may modify both site and rate of digestion. Treating barley grain with lactic acid have been shown to alter the chemical composition and the nutritional value of treated grains. …”
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Low-level atmospheric turbulence dataset in China generated by combining radar wind profiler and radiosonde observations by D. Meng, D. Meng, J. Guo, J. Guo, J. Chen, X. Guo, N. Li, Y. Sun, Z. Zhang, Z. Zhang, N. Tang, H. Xu, T. Chen, R. Yang, J. Hua

“…This dataset includes squared Brunt–Väisälä frequency (<span class="inline-formula"><i>N</i>²</span>), turbulent dissipation rate (<span class="inline-formula"><i>ε</i></span>), vertical eddy diffusivity (<span class="inline-formula"><i>K</i></span>), inner scale (<span class="inline-formula"><i>l</i>₀</span>), and buoyancy length scale (<span class="inline-formula"><i>L</i>_B</span>), which are provided twice daily at 00:00 and 12:00 UTC with a vertical resolution of 120 m, covering altitudes from 0.12 to 3.0 km above ground level (a.g.l.). …”
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The Impact of Climate Change on the Content and Spatial Distribution of the Total Dissolved Solids in Bandar-e-Gaz Coastal Aquifer by Mohammad Mehdi Ansarifar, Meysam Salarijazi, Khalil Ghorbani, Abdolreza Kaboli

“…These are as follows: Optimistic climate scenario (RCP2.6) + extraction of groundwater at a constant rate until 2100+ no change in Caspian Sea level up to 2100. …”
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A 60-year atmospheric nitrate isotope record from a southeastern Greenland ice core with minimal postdepositional alteration by Z. Wei, S. Hattori, S. Hattori, S. Hattori, A. Tsuruta, Z. Jiang, S. Ishino, K. Fujita, S. Matoba, L. Geng, A. Lamothe, R. Uemura, N. Yoshida, N. Yoshida, N. Yoshida, J. Savarino, J. Savarino, Y. Iizuka

“…The ice core from the southeastern Dome (SE-Dome) in Greenland is a potential record of variations in atmospheric chemistry that has experienced a lower postdepositional effect owing to a high accumulation rate (<span class="inline-formula">∼1</span> m water equivalent per year). …”
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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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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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Theory-Driven EEG Indexes for Tracking Motor Recovery and Predicting the Effects of Hybridizing tDCS With Mirror Therapy in Stroke Patients by Chia-Lun Liu, Ken-Hsien Su, Yi-Shiung Horng, Chia-Ling Chen, Shou-Hsien Huang, Ching-Yi Wu

“…Three months after training, only the premotor tDCS group maintained the gains in FMA, with these improvements correlated with the EEG indexes. Again, this pattern was specific to premotor tDCS. Since the gating-by-inhibition model suggests that EEG index reflects an individual&#x2019;s psychomotor efficiency, we also found that the baseline EEG index could predict FMA retention. …”
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De novo assembly of a transcriptome for Calanus finmarchicus (Crustacea, Copepoda)--the dominant zooplankter of the North Atlantic Ocean. by Petra H Lenz, Vittoria Roncalli, R Patrick Hassett, Le-Shin Wu, Matthew C Cieslak, Daniel K Hartline, Andrew E Christie

“…A key environmental challenge for C. finmarchicus is the seasonal exposure to the dinoflagellate Alexandrium fundyense with high concentrations of saxitoxins, neurotoxins that block voltage-gated sodium channels. Multiple contigs encoding putative voltage-gated sodium channels were identified. …”
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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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Finger drawing on smartphone screens enables early Parkinson's disease detection through hybrid 1D-CNN and BiGRU deep learning architecture. by Zhaohui Zhu, E Wu, Pengfei Leng, Jiajun Sun, Mingming Ma, Zhigeng Pan

“…Our hybrid model combined multi-scale convolutional feature extraction (using parallel 1D-Convolutional branches) with bidirectional temporal pattern recognition (via gated recurrent unit [GRU] networks) to analyze movement abnormalities and detect the disease.…”
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Time-Series Forecasting Method Based on Hierarchical Spatio-Temporal Attention Mechanism by Zhiguo Xiao, Junli Liu, Xinyao Cao, Ke Wang, Dongni Li, Qian Liu

“…Breaking through traditional structural designs, the model employs a Squeeze-and-Excitation Network (SENet) to reconstruct the convolutional layers of the Temporal Convolutional Network (TCN), strengthening the feature expression of key time steps through dynamic channel weight allocation to address the redundancy issue of traditional causal convolutions in local pattern capture. A Bidirectional Gated Recurrent Unit (BiGRU) variant based on a global attention mechanism is designed, leveraging the collaboration between gating units and attention weights to mine cross-period long-distance dependencies and effectively alleviate the gradient disappearance problem of Recurrent Neural Network (RNN-like) models in multi-scale time-series analysis. …”
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BASSET: Bandpass-adaptive Single-pulse Search Toolkit—Optimized Subband Pulse Search Strategies for Faint Narrowband Fast Radio Bursts by J. H Cao, P. Wang, D. Li, Q. H. Pan, K. Mao, C. H. Niu, Y. K. Zhang, Q. Y. Qu, W. J. Lu, J. S. Zhang, Y. H. Zhu, Y. D. Wang, H. X. Chen, X. L. Chen, J. H. Fang, Y. Feng, H. Gao, Y. F. Huang, J. Li, C. C. Miao, C. W. Tsai, J. M. Yao, S. P. You, R. S. Zhao, Q. Z. Liu, S. M. Weng, S. H. Yew, J. Zhang, L. Zhang, E. Gügercinoğlu, D. K. Zhou, W. W. Zhu

“…In conjunction with the pulse calibration and the Markov Chain Monte Carlo simulated injection experiments, this work updates the quantified parameter space of the detection rate. Moreover, a parallel-accelerated version of the BASSET code was provided and evaluated through simulation. …”
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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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Predicting Financial Distress through Ranking Working Capital Management Components Using Random Forest Algorithm by Pouya Sadeghi, Daryush Farid, Hamid Reza Mirzaei, Abolfazl Dehghani

“…These scores, being close to 1, suggested that the model's estimations were performed with a high degree of accuracy.The analysis of the relative importance of each working capital management component in achieving this 85% accuracy rate revealed some key insights. The Average Collection Period (ACP) was identified as the most important factor in predicting financial distress. …”
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Evaluating the effectiveness of the Drink Less smartphone app for reducing alcohol consumption compared with usual digital care: a comprehensive synopsis from a 6-month follow-up R... by Claire Garnett, Melissa Oldham, Gemma Loebenberg, Larisa Dinu, Emma Beard, Colin Angus, Robyn Burton, Matt Field, Felix Greaves, Matthew Hickman, Eileen Kaner, Susan Michie, Marcus Munafò, Elena Pizzo, Jamie Brown

“…Results The retention rate at 6-month follow-up was 80%. The data were not missing completely at random with differences detected in educational qualifications, occupation and income, indicating that multiple imputation was the most appropriate analytic approach. …”
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Two‐Terminal MoS2‐Based Retinomorphic Devices with Enhanced Synaptic Plasticity by Younghoon Lim, Taehun Kim, Jaesik Eom, Onsik Harm, Junsung Byeon, Jungmoon Lim, Juwon Lee, Sangyeon Pak, SeungNam Cha

“…Herein, the two‐terminal retinomorphic devices are reported featuring a tailored gating voltage range near zero and enhanced synaptic plasticity by providing another recombination route to suppress the PPC effect. …”
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Spintronic Memtransistor Leaky Integrate and Fire Neuron for Spiking Neural Networks by Aijaz H. Lone, Meng Tang, Daniel N. Rahimi, Xuecui Zou, Dongxing Zheng, Hossein Fariborzi, Xixiang Zhang, Gianluca Setti

“…Based on the ferromagnetic multilayer spintronic devices, a magnetic field‐gated and current‐controlled spintronic Leaky Integrate‐and‐Fire (LIF) neuron with memtransistor properties is showcased. …”
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