Peripapillary retinal nerve fiber layer and ganglion cell complex in Alzheimer’s disease by R.N. Gulieva

“…&nbsp;Gulieva</b> </p> <p> <b>A.I.&nbsp;Karaev Institute of Physiology of Azerbaijan National Academy of Sciences, Baku, Azerbaijan</b> </p> <p> <i><b>Aim</b>: to measure retinal nerve fiber layer (RNFL) thickness and ganglion cell complex (GCC) thickness in patients with Alzheimer’s disease (AD).…”
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L’insegnamento dell’italiano in Germania nell’era digitale by Ines de Florio-Hansen

“…Abstract (English) The following article focuses on digitization, artificial intelligence (AI) and robotics with regards to teaching Italian in Germany. …”
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Elucidating the role of precipitated phase particles in modifying creep properties of as-cast Mg-Bi/Sn-based alloys by Gang Xu, Wei-li Cheng, Yi-hao Luo, Hui Yu, Li-fei Wang, Hang Li, Hong-xia Wang, Jin-hui Wang

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Profiles and natural drivers of antibiotic resistome in multiple environmental media in penguin-colonized area in Antarctica by Yongpeng Zhang, Bo Zhang, Imtiaz Ahmed, Hanshu Zhang, Yiliang He

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A pan-cancer analysis: predictive role of ZNF32 in cancer prognosis and immunotherapy response by Minghan Li, Chang Su, Qianru Wang, Yuetong Chen, Di Jiang, Weijia Wang, Shunjin Chen, Xiangping Li, Ming Fu, Juan Lu

“…We comprehensively investigated the expression of ZNF32 across tumors using diverse databases, including TCGA, CCLE, TIMER2.0, KM-Plotter, cBioPortal, ImmuCellAI. We investigated correlations between ZNF32 expression and various factors such as prognosis, immune infiltration, immunotherapy, DNA methylation, and biological functions. …”
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Fixed timed artificial insemination in buffalo heifers with fresh and frozen-thawed semen in Argentina by José Luis Konrad, Alexis Bandeo, Natalia Vallejos, Pablo Ponce, Jesús Alfredo Berdugo, Pablo Maldonado-Vargas

“…Artificial insemination (AI) is a better tool with a low application in this species due to the particularities of its physiology; an alternative is the application of fixed-time insemination (FTAI). …”
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Effects of sub-monthly and sub-daily water level variations on water level fluctuation requirements of Phragmites australis and Phalaris arundinacea by Tingyu Zhang, Wenjuan Gao, Saibo Yuan, Xiaodie Jiang, Yongjing Zhao, Yongde Cui, Hongzhu Wang

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Altered circadian rhythmicity of the QT interval predicts mortality in a large real-world academic hospital population by Rutger R. van de Leur, Bastiaan C. du Pré, Markella I. Printezi, Rutger J. Hassink, Pieter A. Doevendans, René van Es, Linda W. van Laake

“…QT interval should be corrected for the time-of-day and altered circadian rhythmicity should trigger awareness of increased mortality risk (https://qt.ecgx.ai).…”
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Development of a novel strategy for the quantification of ultra-trace impurity elements in high-purity magnesium using inductively coupled plasma tandem mass spectrometry by Liang Fu, Guangsheng Huang, Yaobo Hu, Xianhua Chen, Jingfeng Wang, Fusheng Pan

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LightweightUNet: Multimodal Deep Learning with GAN-Augmented Imaging Data for Efficient Breast Cancer Detection by Hari Mohan Rai, Joon Yoo, Saurabh Agarwal, Neha Agarwal

“…Breast cancer ranks as the second most prevalent cancer globally and is the most frequently diagnosed cancer among women; therefore, early, automated, and precise detection is essential. Most AI-based techniques for breast cancer detection are complex and have high computational costs. …”
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Predictors of Neurological and Functional Recovery in Patients with Moderate to Severe Ischemic Stroke: The EPICA Study by Manuel Murie-Fernández, Mercedes Molleda Marzo

“…Multivariate analyses integrating other regression variables showed a trend in favour of rehabilitation and revascularization therapies on recovery although did not reach statistical significance and that the positive predictors of recovery improvement were baseline BI score, time to treatment, and dietary supplement MLC901 (NurAiD™II). A larger percentage of patients with more severe stroke (NIHSS>14) who received MLC901 showed above median improvements on mRS compared to control group at M1 (71.4% vs. 29.4%; p=0.032) and M3 (85.7% vs. 50%; p=0.058). …”
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Assessment of Reproductive Performance and Husbandry Practices of Horro and Crossbred Cattle Under Smallholder in Sibu Sire District of East Wollega Zone, Oromia, Ethiopia by Abriham Kebede Deresa, Jiregna Dugassa Kitessa, Yobsan Tamiru Terefa

“…ANSPC for natural mating and AI were 1.92 ± 0.05 and 1.10 ± 0.10, respectively, with significant association (p < 0.05). …”
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The impact of the coupling relationship between projectile size and yarn dimension on the ballistic performance of plain weave fabric by Kaiying Wang, Xuan Zhou, Wenke Ren, Yiding Wu, Yilei Yu, Yi Zhou, Lizhi Xu, Guangfa Gao

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Atomic Ni-catalyzed cathode and stabilized Li metal anode for high-performance Li–O2 batteries by Tiansheng Bai, Jiaxian Wang, Hongqiang Zhang, Fengjun Ji, Wei Song, Shenyi Xiao, Dandan Gao, Jingyu Lu, Lijie Ci, Deping Li

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An ATP-activated spatiotemporally controlled hydrogel prodrug system for treating multidrug-resistant bacteria-infected pressure ulcers by Xiaoliang Qi, Yajing Xiang, Ying Li, Jiajia Wang, Yuxi Chen, Yulong Lan, Jinsong Liu, Jianliang Shen

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Enhancing corrosion resistance of Mg-Al-Mn-Ca-Y dilute alloy via novel core-shell structured Al8Mn4Y-Al2Ca and controllable solute segregation by Xiaorui Dong, Min Zha, Dawei Wang, Siqing Wang, Yajie Yang, Hailong Jia

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CO2 methanation over low-loaded Ni-M, Ru-M (M = Co, Mn) catalysts supported on CeO2 and SiC by Chopendra G. Wasnik, Maki Nakamura, Taiki Shimada, Hiroshi Machida, Koyo Norinaga

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Tribological behaviors of AZ91D magnesium alloy under the lubrication of oil suspended synthetic magnesium silicate hydroxide nanotubes by Y.L. Yin, H.L. Yu, H.M. Wang, X.C. Ji, Z.Y. Song, X.Y. Zhou, M. Wei, P.J. Shi, W. Zhang, C.F. Zhao

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Features of the Parameters of 24-Hours pH-Impedance and High-Resolution Esophageal Manometry in Patients with Barrett's Esophagus on Proton Pump Inhibitors by I. V. Maev, D. S. Bordin, E. V. Barkalova, M. A. Ovsepyan, E. R. Valitova, N. G. Kalashnikova, D. N. Andreev

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Deep learning empowered sensor fusion boosts infant movement classification by Tomas Kulvicius, Dajie Zhang, Luise Poustka, Sven Bölte, Lennart Jahn, Sarah Flügge, Marc Kraft, Markus Zweckstetter, Karin Nielsen-Saines, Florentin Wörgötter, Peter B. Marschik

“…The development of a robust sensor fusion system may significantly enhance AI-based early recognition of neurofunctions, ultimately facilitating automated early detection of neurodevelopmental conditions.…”
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