Clinical profiles of SS-ILD compared with SS-NILD in a Chinese population: a retrospective analysis of 735 patients by Ting Guo, Yaomei Long, Qinxue Shen, Wei Guo, Wang Duan, Xiaoli Ouyang, Hong Peng

“…NSIP (56.3%) was the most frequent HRCT pattern. Compared with pSS patients with ILD (pSS-ILD) patients, sSS patients with ILD (sSS-ILD) patients had a higher incidence of proteinuria (p < .001) and hypercreatinaemia (p = .013), a higher level of erythrocyte sedimentation rate (ESR) (p = .003), low levels of complement 3 (C3) (p = .013), lymphocytes (p = .009) and leukocytes (p = .024), and worse DLCO (%Pred) (p = .035).Conclusions ILD is a common pulmonary involvement in both pSS patients and sSS patients. …”
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CONCOMITANT CARDIOVASCULAR DISEASES AND ANTIHYPERTENSIVE TREATMENT IN OUTPATIENT PRACTICE (BY THE RECVASA REGISTRY DATA) by M. M. Loukianov, S. A. Boytsov, S. S. Yakushin, S. Yu. Martsevich, A. N. Vorobyev, A. V. Zagrebelnyy, N. N. Nikulina, K. G. Pereverzeva, E. A. Pravkina, A. D. Deev, E. V. Kudryashov, E. N. Belova

“…The mean number of prescribed AHDs was 1.73. The mean incidence rate of target blood pressure achievement was 26.1%. …”
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Dietary supplementation with L-carnitine elevates intracellular carnitine levels and affects gene expression of SLC25A20 and COX4I1, as well as non-mitochondrial respiration of bov... by Leonie Seemann, Susanne Kersten, Susanne Bühler, Fabian Billenkamp, Ulrich Meyer, Christian Visscher, Korinna Huber, Erika Most, Klaus Eder, Sven Dänicke, Jana Frahm

“…The same applied for PBMC mitochondrial functionality and metabolic activity as assessed by ex vivo approaches, whereas non-mitochondrial respiration rate was significantly affected by L-carnitine supplementation over time. …”
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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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Ornidazole-Induced Liver Injury: The Clinical Characterization of a Rare Adverse Reaction and Its Implications from a Multicenter Study by Ali Rıza Çalışkan, Ilker Turan, Sezgin Vatansever, Jasmin Weninger, Emine Türkmen Şamdancı, Ayşe Nur Akatli, Elvan Işık, Esra Durmazer, Ayşenur Arslan, Nilay Danış, Hüseyin Kaçmaz, Sedat Cicek, Osman Sağlam, Dilara Turan Gökçe, Derya Arı, Sevinç Tuğçe Güvenir, Serkan Yaraş, Cumali Efe, Meral Akdoğan Kayhan, Murat Harputluoğlu, Ali Canbay, Ulus Salih Akarca, Zeki Karasu, Ramazan Idilman, Fulya Günşar

“…Corticosteroids were used in 24.8% of cases (n = 25) and were associated with higher ANA positivity and a 20% (n = 5) relapse rate post-discontinuation. Recovery was achieved in 87.7% of cases (n = 88), while 7.9% of cases (n = 8) required liver transplantation and 4% (n = 4) died. …”
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Type II diabetes in systemic sclerosis patients: insights from an observational, multicenter study of GIRRCS (Gruppo Italiano di Ricerca in Reumatologia Clinica e Sperimentale) by Vasiliki Liakouli, Giulio Forte, Piero Ruscitti, Luca Navarini, Francesca Bellisai, Francesco Caso, Giuliana Guggino, Lidia La Barbera, Chiara Rizzo, Ada Corrado, Paola Triggianese, Alberto Lo Gullo, Giuseppe Mandraffino, Luca Cantarini, Bruno Frediani, Paola Cipriani, Francesco Paolo Cantatore, Maria Sole Chimenti, Elvira Favoino, Federico Perosa, Annamaria Iagnocco, Roberto Giacomelli, Francesco Ciccia

“…SSc patients with T2D were significantly older (P < 0.007) and exhibited: higher prevalence of late-stage capillaroscopic pattern (P < 0.001), severe reduction in forced vital capacity (FVC < 50%; P < 0.000), moderate reduction in total lung capacity (TLC 50–69%; P < 0.011), electrocardiographic signs of right ventricular hypertrophy (P < 0.018), higher prevalence of pulmonary arterial hypertension (PAH) confirmed by right heart catheterization (RHC) (P < 0.037) and higher prevalence scleroderma renal crisis (SRC) (P < 0.001); elevated erythrocyte sedimentation rate (ESR) (P < 0.022), and ANA positivity. …”
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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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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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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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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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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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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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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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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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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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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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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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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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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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