Correlation of Visuospatial Ability and EEG Slowing in Patients with Parkinson’s Disease by Dominique Eichelberger, Pasquale Calabrese, Antonia Meyer, Menorca Chaturvedi, Florian Hatz, Peter Fuhr, Ute Gschwandtner

“…Visuospatial dysfunction is among the first cognitive symptoms in Parkinson’s disease (PD) and is often predictive for PD-dementia. Furthermore, cognitive status in PD-patients correlates with quantitative EEG. …”
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Evaluation of Undrained Bearing Capacities of Wide-Shallow Bucket Foundation with Honeycomb Bulkheads in Clay by Qingshan Wang, Xun Han, Yunfei Guan, Yongyong Cao, Wenxuan Li

“…At last, the parameters of an approximating expression are fitted to predict the failure envelopes of this foundation under combined loading.…”
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Numerical investigation of welding deformation diminution for double shell structure using the layered inherent strain by Cheng Li, Hua Zhai, Lianwei Zhu, Zhihong Liu, Jianguo Ma, Xiaofeng Zhu, Qiong Liu

“…The welding deformation generated by each layer of weld can be predicted by using the equivalent plastic strain, and the total distortion can be accumulated layer by layer. …”
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Influence of Geometrical Design on Defect Formation of Commercial Al-Si-Cu-Mg Alloy Fabricated by High-Pressure Diecasting: Structural Observation and Simulation Validation by Warda Bahanan, Siti Fatimah, Dong-Ju Kim, I Putu Widiantara, Jee-Hyun Kang, Young Gun Ko

“…Thus, the simulation used in this work provides reliable predictions for optimizing HPD processing of the present alloy.…”
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Blood-based biomarkers in mild behavioral impairment: an updated overview by Efthalia Angelopoulou, Xenia Androni, Chiara Villa, Alexandros Hatzimanolis, Nikolaos Scarmeas, Sokratis Papageorgiou

“…In this narrative review, we aim to summarize and critically discuss the emerging literature evidence linking MBI to blood-based biomarkers, hoping to shed more light on MBI’s pathophysiology, its connection to AD-related neurobiology, as well as its potential practical utility for predicting cognitive impairment, guiding early interventions and managing the risk for dementia.…”
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Idiosyncratic gesture use in a mother-infant dyad in chimpanzees (Pan troglodytes schweinfurthii) in the wild by Bas van Boekholt, Isabelle Clark, Nicole J. Lahiff, Kevin C. Lee, Katie E. Slocombe, Claudia Wilke, Simone Pika

“…These differ in their predictions regarding idiosyncratic gestures, making such occurrences a crucial area of investigation. …”
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Comparative Analyses of Response Surface Methodology and Artificial Neural Network on Medium Optimization for Tetraselmis sp. FTC209 Grown under Mixotrophic Condition by Mohd Shamzi Mohamed, Joo Shun Tan, Rosfarizan Mohamad, Mohd Noriznan Mokhtar, Arbakariya B. Ariff

“…RSM capability was also weighed against an artificial neural network (ANN) approach for predicting a composition that would result in maximum lipid productivity, Prlipid. …”
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Plant-nanoparticles enhance anti-PD-L1 efficacy by shaping human commensal microbiota metabolites by Yun Teng, Chao Luo, Xiaolan Qiu, Jingyao Mu, Mukesh K. Sriwastva, Qingbo Xu, Minmin Liu, Xin Hu, Fangyi Xu, Lifeng Zhang, Juw Won Park, Jae Yeon Hwang, Maiying Kong, Zhanxu Liu, Xiang Zhang, Raobo Xu, Jun Yan, Michael L. Merchant, Craig J. McClain, Huang-Ge Zhang

“…However, the complexity of dietary components makes it difficult to predict specific outcomes. Here we investigate the impact of plant-derived nanoparticles (PNP) on gut microbiota and metabolites in context of cancer immunotherapy with the humanized gnotobiotic mouse model. …”
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SRAM and Mixed-Signal Logic With Noise Immunity in 3-nm Nano-Sheet Technology by Rajiv V. Joshi, J. Frougier, Alberto Cestero, Crystal Castellanos, Sudipto Chakraborty, Carl Radens, M. Silvestre, S. Lucarini, I. Ahsan, E. Leobandung

“…Statistical simulations are used to predict the benefits of these circuits in the context of dual supply use. …”
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Complete genome sequence of Pseudomonas aeruginosa YK01, a sequence type 16 isolated from a patient with keratitis by Shuo Jiang, Mengmin Ye, Ke Liu, Huiluo Cao, Xiaoshan Lin

“…The assembly is fully complete with chromosomal genome size of 6,183,266 bp, presenting a GC content of 66.7%, and a plasmid with the size of 46,067 bp, presenting GC content of 59.0%. Predicted chromosomal genomic features include 5,709 CDS, 12 rRNAs, 63 tRNAs, 4 ncRNAs, and 5,788 genes. …”
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Transfer learning for multi-material classification of transition metal dichalcogenides with atomic force microscopy by Isaiah A Moses, Wesley F Reinhart

“…Our models show accurate predictions in five classes of transition metal dichalcogenides (TMDs) (MoS _2 , WS _2 , WSe _2 , MoSe _2 , and Mo-WSe _2 ) with up to 89% accuracy on held-out test samples. …”
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Taguchi Robust Design for Optimizing Surface Roughness of Turned AISI 1045 Steel Considering the Tool Nose Radius and Coolant as Noise Factors by Adel T. Abbas, Adham E. Ragab, Faycal Benyahia, Mahmoud S. Soliman

“…The optimum parameters predicted by the developed model showed good agreement with the experimental results.…”
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Influence of Medication on Fatigue Six Months after Stroke by Amélie Ponchel, Julien Labreuche, Stéphanie Bombois, Christine Delmaire, Régis Bordet, Hilde Hénon

“…PSF at 6 months was not predicted by medication use at discharge nor associated with medication use at month 6. …”
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Proliferative and viability effects of two cyanophages on freshwater bloom-forming species Microcystis aeruginosa and Raphidiopsis raciborskii vary between strains by Nada Tokodi, Antonia Łobodzińska, Barbara Klimczak, Adam Antosiak, Sara Młynarska, Sigitas Šulčius, Sarit Avrani, Takashi Yoshida, Dariusz Dziga

“…The high variability in responses observed with a limited subset of cyanophage-cyanobacteria combinations not only highlights the intricate role of viral infections in microbial ecosystems but also underscores the significant challenges in predicting the composition, toxicity, and dynamics of cyanobacterial blooms.…”
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Contactless defects detection using modulated photoluminescence technique: model for a single Shockley-Read-Hall trap in a semiconductor thin layer by Bérenguier Baptiste, Asseko Alban, Haddara Hiba, Le Gall Sylvain, Kleider Jean-Paul, Guillemoles Jean-François

“…We present a parametric numerical study simulating the response of a single Shockley-Read-Hall center, showing the appearance of so-called V-Shapes in the MPL phase patterns as predicted by the analytical model, and valid beyond small-signal approximation. …”
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ACTN1 promotes cell invasion, migration, and EMT in thyroid cancer and is associated with immune infiltration by Song Chen, Xue Luo, Wentai Wang, Xing-hong Chen, Ning Ma, Xue-yin Zhu, Tian Zhou, Qing-jun Gao, Dai-wei Zhao

“…In conclusion, ACTN1 is an important regulator of THCA progression and may serve as a potential molecular marker for predicting THCA invasion and metastasis.…”
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Lipidomics of Huntington’s Disease: A Comprehensive Review of Current Status and Future Directions by Ali Yilmaz, Sumeyya Akyol, Nadia Ashrafi, Nazia Saiyed, Onur Turkoglu, Stewart F. Graham

“…The development of innovative strategies is imperative for the early detection of predictive biomarkers, enabling timely intervention and mitigating irreversible cellular damage. …”
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Digital Health Technologies for Optimising Treatment and Rehabilitation Following Surgery: Device-Based Measurement of Sling Posture and Adherence by Joss Langford, Ahmed Barakat, Engy Daghash, Harvinder Singh, Alex V. Rowlands

“…Results: We found that upper arm angle and posture type during sling wear can be predicted from a sling sensor alone (R² = 0.79, <i>p</i> < 0.001 and Cohen’s kappa = 0.886, respectively). …”
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A Simulated Galaxy Laboratory: Exploring the Observational Effects on UV Spectral Absorption Line Measurements by R. Michael Jennings, Alaina Henry, Valentin Mauerhofer, Timothy Heckman, Claudia Scarlata, Cody Carr, Xinfeng Xu, Mason Huberty, Simon Gazagnes, Anne E. Jaskot, Jeremy Blaizot, Anne Verhamme, Sophia R. Flury, Alberto Saldana-Lopez, Matthew J. Hayes, Maxime Trebitsch

“…Down-the-barrel observations, where the absorption is measured against the galaxy itself, are commonly used to study feedback from galactic outflows and to make predictions about the leakage of H i ionizing photons into the intergalactic medium. …”
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Urinary interleukin 13 level in steroid sensitive and resistant nephrotic syndrome: a cross-sectional single center study by Behnam Ermian, Noosha Samieefar, Aida Vahidi, Daryoush Fahimi, Niloufar Peirovi, Mohamed Husein Aldokhi, Behnaz Bazargani, Arash Abbasi, Fahimeh Askarian, Mastaneh Moghtaderi

“…Further studies in larger population are recommended to better assess the potential of this biomarker to predict response to treatment. .…”
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