hnRNPA2B1 recognizes RNA virus SFTSV infection through mitochondrial DNA by Xin-bo Huang, Yue Zhang, Jing-wen Fan, Xin-yu Yu, Yun-lan Fang, Jin-xin Ren, Bin-yan Liu

“…However, it remains largely unclear whether A2B1 could function as a nucleic acid pattern-recognition receptor during cytoplasmic RNA virus infection. …”
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A Smartphone-Based Non-Destructive Multimodal Deep Learning Approach Using pH-Sensitive Pitaya Peel Films for Real-Time Fish Freshness Detection by Yixuan Pan, Yujie Wang, Yuzhe Zhou, Jiacheng Zhou, Manxi Chen, Dongling Liu, Feier Li, Can Liu, Mingwan Zeng, Dongjing Jiang, Xiangyang Yuan, Hejun Wu

“…A Temporal Convolutional Network (TCN) was then used to model dynamic patterns in chemical indicators across spoilage stages, combined with a Context-Aware Gated Fusion (CAG-Fusion) mechanism to adaptively integrate image and chemical temporal features. …”
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Dependence of Indicators of Daily Blood Pressure Monitoring on Activity of Pathological Process in Patients with Systemic Lupus Erythematosus by Abrahamovych O., Abrahamovych U., Kushyna A., Guta S., Synenkyi O.

“…According to the first goal was rated the BP in the SLE patients during the period of 24 hours, for which: a) were examined the average daily, maximum and minimum levels of systolic blood pressure (SBP), diastolic blood pressure (DBP), the average blood pressure; b) was analysed the daily index (DI) of SBP, DBP and the average blood pressure; c) was examined the time index (TI) of SBP, DBP and the average blood pressure. …”
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Concrete Dam Deformation Prediction Model Based on Attention Mechanism and Deep Learning by ZHANG Hongrui, CAO Xin, JIANG Chao, ZU Anjun, XU Mingxiang

“…A comprehensive comparative analysis was conducted against multiple linear regression (MLR), ELM, gated recurrent unit (GRU), and convolutional-long short-term memory (C-LSTM) methods. …”
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Race and gender biases persist in public perceptions of scientists’ credibility by Dayeon Eom, Amanda L. Molder, Helen A. Tosteson, Emily L. Howell, Meredith DeSalazar, Elliot Kirschner, Sarah S. Goodwin, Dietram A. Scheufele

“…Our findings revealed significant intersectional biases: Black female scientists received the lowest ratings in both warmth and competence, with ratings dropping further when introducing a story about a White patient. …”
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A set of 400 pictures standardised for Portuguese: norms for name agreement, familiarity and visual complexity for children and adults by Sabine Pompéia, Mônica Carolina Miranda, Orlando Francisco Amodeo Bueno

“…Name agreement, familiarity and visual complexity ratings were obtained. These variables have been shown to be important for the selection of adequate stimuli for cognitive studies. …”
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Crosstalk between delayed and immediate subjective evaluation tasks by Guangqi Niu, Johan Lauwereyns

“…To investigate potential influences across subjective evaluations, the present study employed a dual-task paradigm in which an immediate rating task was embedded in a delayed choice task. …”
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Reduced threat-safety discrimination and generally enhanced generalization responses in adversity exposed youth with emerging psychiatric symptoms by Zhiling Qiao, Celine Samaey, Lise Jennen, Victor Mazereel, Davy Vancampfort, Bart Boets, Ruud van Winkel

“…Contrary to our hypothesis, this effect was driven by their enhanced risk ratings for the safety cue rather than blunted responses to the danger cue. …”
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Sewage sludge from Taxco de Alarcón wastewater treatment plant as substrate to cultivate Panicum maximum by Erik Yoel Carreto-Morales, Jazmin Alaide López-Díaz, Mariana Martínez-Castrejón, Oscar Talavera-Mendoza, Roberto Carlos Almazán-Núñez, Giovanni Hernández-Flores

“…The response variables analyzed for MG were germination time (one month after plant emergence), height (HMG), growth rate GrMG, and yield (YMG), whereas in the SS and PS the content of organic matter was analyzed. …”
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Identification of CaVβ1 Isoforms Required for Neuromuscular Junction Formation and Maintenance by Amélie Vergnol, Aly Bourguiba, Stephanie Bauché, Massiré Traoré, Maxime Gelin, Christel Gentil, Sonia Pezet, Lucile Saillard, Pierre Meunier, Mégane Lemaitre, Julianne Perronnet, Frederic Tores, Candice Gautier, Zoheir Guesmia, Eric Allemand, Eric Batsché, France Pietri-Rouxel, Sestina Falcone

“…Voltage-gated Ca²⁺ channels (VGCCs) are regulated by four CaVβ subunits (CaVβ1–CaVβ4), each showing specific expression patterns in excitable cells. …”
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Markers of vascular damage depending on the blood pressure level: data of the population study ESSE-RF by A. M. Erina, M. A. Boyarinova, E. V. Moguchaya, E. P. Kolesova, A. S. Aliyeva, O. P. Rotar, E. I. Baranova, S. A. Shalnova, A. D. Deev, Z. T. Astakhova, L. Z. Bolieva, G. V. Tolparov, V. S. Kaveshnikov, V. N. Serebryakova, I. A. Trubacheva, R. S. Karpov, A. Yu. Efanov, M. A. Storozhok, I. V. Medvedeva, S. V. Shalaev, A. N. Rogoza, A. O. Konradi, S. A. Boytsov, E. V. Shlyakhto

“…Glomerular filtration rate (GFR) was calculated using the CKD-EPI equation. …”
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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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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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Screening for psychosocial distress and depression among cancer patients in a regional cancer centre in Nigeria: a cross-sectional study by Nwosu et al.

“…The predictors of psychosocial distress were the presence of co-morbidities (AOR=2.6; 95%CI: 1.3- 5.1) and good self-rated health status (AOR= 0.2; 95%CI: 0.1-0.3). The predictors of depression were the outpatient setting of care (AOR=0.4; 95%CI: 0.2-0.7) and good self-rated health (AOR= 0.3; 95%CI: 0.2-0.4). …”

Automation of multicriteria ranking of students using ePortfolio by L. A. Ponomareva, O. N. Romashkova, A. N. Belyakova, V. S. Zabolotnikova

“…The authors described the scheme of the information system (IS) operation “ePortfolio”, presented a process interaction pattern for the portfolio formation, as well as a diagram of business processes under calculating an individual rating. …”
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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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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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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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