The association between WHO grading and the long-term outcomes and radiotherapy efficacy of intracranial solitary fibrous tumors by Leihao Ren, Lingyang Hua, AO Feng, Jiaojiao Deng, Hiroaki Wakimoto, Tareq Juratli, Qing Xie, Ye Gong

“…RT significantly prolonged PFS in SFT patients, especially after 3 years post-surgery. Notably, RT significantly improved PFS in the 2016-grade 3, 2021-grade 2 and intermediate risk tumors.…”
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Back pain and assessment of ankylosing spondylitis activity during gestation: symptoms reflecting exacerbation of the disease and pregnancy by O. A. Krichevskaya, T. V. Dubinina, E. V. Ilinykh, S. I. Gluhova, A. B. Demina, I. A. Andrianova, I. A. Kulikov, I. Iu. Skripkina

“…Night back pain with improvement on awakening in the main group was present in 70%, 58% and 68.8% of women, respectively, in the I-III trimesters; its intensity was 3 [1; 5], 3.5 [3; 6] and 3.4 [2; 5] respectively; the frequency and severity of night pain were higher than in the control group. …”
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The Impact of Secondary Orthopedic Complications on the Quality of Life in Children with Cerebral Palsy by Vladimir А. Novikov, Valery V. Umnov, Dmitry S. Zharkov, Dmitry V. Umnov, Olga V. Barlova, Stanislav V. Ivanov, Alina R. Mustafaeva, Ulyana A. Svinina

“…The level of motor functions was assessed according to the Gross Motor Function Classification System (GMFCS). The data collected included anamnesis, orthopedic clinical examination with the modified Ashworth scale assessment of spasticity, and information on concomitant disorders. …”
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Automated Detection of Gibbon Calls From Passive Acoustic Monitoring Data Using Convolutional Neural Networks in the “Torch for R” Ecosystem by Dena J. Clink, Jinsung Kim, Hope Cross‐Jaya, Abdul Hamid Ahmad, Moeurk Hong, Roeun Sala, Hélène Birot, Cain Agger, Thinh Tien Vu, Hoa Nguyen Thi, Thanh Nguyen Chi, Holger Klinck

“…Here, we evaluate a workflow for the automated detection and classification of acoustic signals from passive acoustic monitoring (PAM) data. …”
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Fast heating annealing of V-microalloyed TWIP steel: Pathway to ultrafine grains and enhanced mechanical performance by Atef Hamada, Ali Khosravifard, Tuomas Alatarvas, Matias Jaskari, Walaa Abd-Elaziem, Tarek Allam, Antti Järvenpää

“…Fractographic analysis revealed ductile failure dominated by dimple formation, with voids nucleated at non-metallic inclusions.Inclusion classification and statistical analysis further identified Al2O3–Mn(S,Se) as the most dominant inclusion type, with complex multiphase clusters also observed, indicating their role in damage initiation. …”
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The Cortical Spatial Responses and Decoding of Emotion Imagery Toward a Novel fNIRS-Based Affective BCI by Xiaopeng Si, Yumeng Han, Sicheng Li, Shuai Zhang, Dong Ming

“…Results showed: 1) Happy imagery recruited frontoparietal regions, such as the left dorsal secondary motor cortex, ventral secondary motor cortex, and inferior parietal lobe. 2) Sad imagery mainly recruited the right dorsolateral prefrontal cortex. 3) The left dorsal sensorimotor cortex exhibited selective responsiveness to happy imagery and sad imagery. 4) The classification results of the emotion imagery task exceeded the random level. 5) Emotional categories activation responses showed significant similarity with the hemodynamic responses of the imagination tasks. …”
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TNN-STME: A Matrix Decomposition Method for SAR Ship Real-Time Detection Using 2-D Asymmetric Resolution Mode by Chaoyue Liu, Yunkai Deng, Zhimin Zhang, Huaitao Fan, Heng Zhang, Xiangyang Qi, Wei Wang

“…The 2-D detailed information is lost in this way, which is not conducive to target classification. Furthermore, real-time detection becomes a challenge under the constraints of limited on-board conditions. …”
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Silicosis mortality in Spain (1999–2020): A temporal and geographical approach by Germán Sánchez-Díaz, Greta Arias-Merino, Elisa Gallego, Rodrigo Sarmiento-Suárez, Verónica Alonso-Ferreira

“…Methods Silicosis records, as an Underlying Cause of Death, were extracted from the National Institute of Statistics from 1999 to 2020 using the International Classification of Diseases 10th revision (code J62.8). …”
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Analysis of Disease-Induced Changes in Human Locomotor Patterns Through the Co-Joint Synergistic Attention Algorithm by Jingyao Chen, Chen Wang, Zeng-Guang Hou, Pingye Deng, Liang Peng, Pu Zhang, Ningcun Xu

“…And we designed a dual-stream classification module for preclassification based on the spatio-temporal characteristics of the data. …”
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Evaluation of the role of transhepatic flow in postoperative outcomes following major hepatectomy (THEFLOW): study protocol for a single-centre, non-interventional cohort study by Karl Heinz Weiss, Mohammad Golriz, Anastasia Lemekhova, Elias Khajeh, Omid Ghamarnejad, Mohammed Al-Saeedi, Oliver Strobel, Beat Müller-Stich, Martin Schneider, Christoph Berchtold, Parham Tinoush, Philipp Mayer, De-Hua Chang, Katrin Hoffmann

“…All patients are followed-up for 3 months after the operation. During each evaluation, standard clinical data, posthepatectomy liver failure and overall morbidity and mortality will be recorded. …”
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Integrated renin angiotensin system dysregulation and immune profiles predict COVID-19 disease severity in a South African cohort by Talitha Müller, Sonwabile Dzanibe, Cascia Day, Phelelani Thokozani Mpangase, Tafadzwa Chimbetete, Sarah Pedretti, Sylva Schwager, Clive M. Gray, Edward Sturrock, Jonny Peter

“…Participants (n = 172) in Cape Town were sampled longitudinally (including a recovery timepoint [> 3-month]), across WHO asymptomatic to critical severity. …”
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Opportunities and challenges with artificial intelligence in allergy and immunology: a bibliometric study by Ningkun Xiao, Ningkun Xiao, Xinlin Huang, Yujun Wu, Baoheng Li, Wanli Zang, Khyber Shinwari, Khyber Shinwari, Irina A. Tuzankina, Valery A. Chereshnev, Valery A. Chereshnev, Guojun Liu

“…AI methodologies, especially machine learning (ML) and deep learning (DL), are predominantly applied in drug discovery and development, disease classification and prediction, immune response modeling, clinical decision support, diagnostics, healthcare system digitalization, and medical education. …”
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Imprints of Different Types of Low-angular-momentum Accretion Flow Solutions in General Relativistic Hydrodynamic Simulations by Indu K. Dihingia, Akhil Uniyal, Yosuke Mizuno

“…We initialize simulations with semianalytical transonic solutions defined by specific energy ( ${{ \mathcal E }}_{0}$ ) and angular momentum ( λ _0 ), allowing a systematic classification of flow types with: (i) an outer sonic point, (ii) an inner sonic point, and (iii) both, exhibiting shock transitions. …”
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Incidence and mortality of upper tract urothelial carcinoma in Korea: A nationwide population-based study conducted from 2002 to 2020 by Seongmin Moon, Yun-Sok Ha, Mina Kim, Hoseob Kim, Won Tae Kim, Yong-June Kim, Seok-Joong Yun, Sang-Cheol Lee, Ho Won Kang

“…Materials and Methods: Reimbursement records for 43,255 patients diagnosed with primary UTUC (according to the International Classification of Disease 10th revision code C65 and C66) between 2002–2020 were retrieved. …”
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Stratification of G2 pancreatic neuroendocrine tumors using a Ten Percent Ki-67 index cut-off based on clinicopathological and molecular analyses by Yumiko Kageyama, Ryo Ashida, Nobuyuki Ohike, Keiichi Ohshima, Tomoko Norose, Katsuhisa Ohgi, Mihoko Yamada, Shimpei Otsuka, Yoshiyasu Kato, Hidemasa Kubo, Katsuhiko Uesaka, Teiichi Sugiura, Takashi Sugino, Akihumi Notsu, Akane Naruoka, Takeshi Nagashima, Kenichi Urakami, Ken Yamaguchi

“…Eighty-seven resected PanNETs were classified as G1, G2-low, G2-high, and G3 according to the World Health Organization classification, incorporating a 10% Ki-67 threshold. …”
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Association of Serum Thyroid Hormone Levels with Androgen and Metabolic Parameters in Chinese Women with Polycystic Ovary Syndrome: A Retrospective Cross-Sectional Study by Manman Pan, Jinghua Zhang, Qing Zhang, Fangfang Wang, Fan Qu, Mei Jin

“…PCOS patients with HOMA-IR levels ≥2.5 mIU/L demonstrated significantly higher FT3 and TSH, but lower TT3 when compared to women with HOMA-IR levels <2.5 mIU/L. …”
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Outcome of Different Surgical Interventions in Management of Emphysematous Pyelonephritis: A Retrospective Cohort Study from Dharwad, India by Revanasiddappa Kanagali, Muralidhar Achar, Pramod Makannavar, Srinivas Kalabhavi

“…Class 2 EPN was the most prevalent classification, occurring in 25 patients (31.3%). Hypotension (p-value=0.015), elevated Glycated haemoglobi (HbA1c) levels (p-value=0.018), and the need for dialysis (p-value=0.008) were significantly associated with mortality. …”
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The influence of depressive and manic symptoms on suicidal ideation in mixed mood states by Monica Macellaro, Rita Cafaro, Carlton Max Kelly, Michael J. Ostacher, Bernardo Dell’Osso, Jihun Lyu, Mark A. Frye, Ralph W. Kupka, Susan L. McElroy, Willem A. Nolen, Paul E. Jr Keck, Robert M. Post, Heinz Grunze, Trisha Suppes

“…Moderate hypo/manic symptoms also conferred risk (OR = 3.11, 95% CI: 1.51–6.49), and milder hypo/mania showed a weaker but significant association (OR = 1.74, 95% CI: 1.05–2.89). …”
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Digital mapping of peat thickness and extent in Finland using remote sensing and machine learning by Jonne Pohjankukka, Timo A. Räsänen, Timo P. Pitkänen, Arttu Kivimäki, Ville Mäkinen, Tapio Väänänen, Jouni Lerssi, Aura Salmivaara, Maarit Middleton

“…The input data consisted of 3.5 million point observations and 188 feature rasters from various sources. …”
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Extraction of Cropland Based on Multi-Source Remote Sensing and an Improved Version of the Deep Learning-Based Segment Anything Model (SAM) by Kunjian Tao, He Li, Chong Huang, Qingsheng Liu, Junyan Zhang, Ruoqi Du

“…Currently, semantic segmentation models based on high-resolution remote sensing imagery utilize limited spectral information and rely heavily on a large amount of fine data annotation, while pixel classification models based on medium-to-low-resolution multi-temporal remote sensing imagery are limited by the mixed pixel problem. …”
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