Identification of Cognitive Training for Individuals with Parkinson’s Disease: A Systematic Review by Marina Francesca Gattoni, Silvia Gobbo, Sarah Feroldi, Anna Salvatore, Jorge Navarro, Sandro Sorbi, Francesca Lea Saibene

“…Consequently, the present review aimed to ascertain the available interventions for the training of cognitive abilities in persons with PD (PwPD). <b>Methods</b>: PRISMA guidelines were followed to select studies in the following databases: PubMed, PsycINFO, and Web of Science. …”
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PbO2/rGO Electrode as a Superior and Efficient Anode in Electrocatalytic Degradation of Safranine-O by Titin Aryani, Roto Roto, Mudasir Mudasir

“…Application on real waste also showed the ability of dye removal, COD, and BOD reduction up to >95%. …”
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The role of olfactory transport in the penetration of manganese oxide nanoparticles from blood into the brain by A. V. Romashchenko, M. B. Sharapova, К. N. Morozova, E. V. Kiseleva, K. E. Kuper, D. V. Petrovskii

“…Thus, we cannot rule out the ability of NPs to be transported from the bloodstream to the brain through the olfactory uptake. …”
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Adsorption of Safranin‐O Dye Onto Almond Shell Sustainable Activated Carbon: Identifying Key Process Factors and Their Effects by Nawras J. Jassim, Fitna H. Younis, Maher T. Alshamkhani

“…Activated carbon was selected and evaluated for its ability to adsorb safranin dye from simulated wastewater. …”
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Pedagogical aspects of professional competence development of technical university students by Konstantin V. Trubitsyn, Olga Yu. Kalmykova, Vasily K. Tkachev

“…The paper stimulates a discussion about professional competencies, active and interactive teaching methods aimed at developing the ability of technical university students for self-development and self-study in order to effectively implement possible scenarios for their professional development trajectory. …”
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Reduced‐Order Probabilistic Emulation of Physics‐Based Ring Current Models: Application to RAM‐SCB Particle Flux by Alfredo A. Cruz, Rashmi Siddalingappa, Piyush M. Mehta, Steven K. Morley, Humberto C. Godinez, Vania K. Jordanova

“…Reduced computational cost allows for significantly faster than real‐time forecasting, enhancing our ability to predict and respond to dynamic changes in the ring current, valuable for space weather monitoring and mitigation efforts. …”
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Social Participation of the Russian and Armenian Students in the Socio-Cultural Development of Cities by M. V. Pevnaya, E. A. Shuklina, A. N. Tarasova, L. A. Asoyan

“…The real experience of volunteering is more likely to be acquired by those students who are motivated to receive information about the culture and history of their cities, as well as the ability to see and identify significant cultural and historical objects where they live and study. …”
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The Effect of Virtual Reality on Motor Anticipation and Hand Function in Patients with Subacute Stroke: A Randomized Trial on Movement-Related Potential by Ling Chen, Yi Chen, Wen Bin Fu, Dong Feng Huang, Wai Leung Ambrose Lo

“…Background. Impaired cognitive ability to anticipate the required control for an upcoming task in patients with stroke may affect rehabilitation outcome. …”
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Experimental Study on Fe3O4 Nanoparticle-Assisted Microwave Enhancing Heavy Oil by Teng Lu, Faqiang Dang, Haitao Wang, Qingmin Zhao, Zhengxiao Xu

“…Through absorbing microwave heating experiments, study the effect of nanoparticles on the improvement of the ability of heavy oil to absorb waves and raise temperature; through the heavy oil upgrading experiment and the four-component analysis experiment, the effect of adding hydrogen donor to assist microwave on the viscosity reduction of heavy oil upgrading by nanoparticles was studied, and the problem of viscosity recovery was determined; Through the gravity drainage experiment, the mechanism of nanoparticle-assisted microwave to improve the recovery of heavy oil is studied, and the influence of water content, nanocatalyst, and microwave power on the production of drainage is analyzed. …”
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Suppression of Migration and Invasion by 4-Carbomethoxyl-10-Epigyrosanoldie E from the Cultured Soft Coral Sinularia sandensis through the MAPKs Pathway on Oral Cancer Cells by Rou-Yi Fang, Yueh-Wen Liu, Yih-Gang Goan, Jen-Jie Lin, Jui-Hsin Su, Wen-Tung Wu, Yu-Jen Wu

“…Furthermore, the expression levels of IQ-domain GTPase-activating protein 1 (IQGAP1) and zonula occludens-1 (ZO-1) were significantly reduced by the compound. The ability of 4-carbomethoxyl-10-epigyrosanoldie E to inhibit the migration and invasion of Cal-27 and Ca9-22 oral cancer cells was observed to be dose dependent. …”
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Effect of Neutrophil-to-Lymphocyte Ratio on Post-TAVR Mortality and Periprocedural Pulmonary Hypertension by Xin Gao, Xiaoxiao Jiang, Zonglei Wu, Na Chen, Minghui Gong, Xu Zhao, Yan Liu, Ran Guo

“…ROC analysis was performed to discriminate the ability of the nomogram, and the AUC was 0.926 (95% CI: 0.850–1.000, P<0.001). …”
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The use of artificial intelligence in adapting process of UI design system for end customer requirements by Kyrylo Polishchuk, Eugene Brezhniev

“…By adopting various AI integration aspects, this paper provides an updated UI design process with the ability to use AI during client-centric design development.…”
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Effects of Balance and Proprioceptive Exercises on the Balance of Ice Hockey Players and the Risk of Lower Limb Injuries by Agnė Karvelytė, Saulė Sipavičienė

“…It is believed that proprioception and balance training can improve neuromuscular control, improve its ability to synchronise the muscle joint to improve dynamic stability and improve human performance, so balance and proprioception are suggested exercises as a regular part of training. …”
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Single-shot super-resolved fringe projection profilometry (SSSR-FPP): 100,000 frames-per-second 3D imaging with deep learning by Bowen Wang, Wenwu Chen, Jiaming Qian, Shijie Feng, Qian Chen, Chao Zuo

“…Abstract To reveal the fundamental aspects hidden behind a variety of transient events in mechanics, physics, and biology, the highly desired ability to acquire three-dimensional (3D) images with ultrafast temporal resolution has been long sought. …”
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Assessment of the healing properties of Cichorium intybus L. extracts on wounds by Berivan Kaçmaz, Duygu Misirli, Seçil Erden Tayhan, Zafer Ömer Özdemir, Mahfuz Elmastaş

“…Methods: The study utilized the following approaches respectively to investigate the plant's wound healing abilities: collection and identification of plants, preparation of extracts, determination of phenolic compounds by HPLC-PDA, in vitro cell culture studies, cell viability analysis, wound healing analysis, statistical analysis. …”
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Network Resilience and Rehabilitation Strategies for an Airport Movement Area Considering Traffic Flow and Road Class by Ruiling Mou, Rui Kang

“…Comparative analyses of comprehensive resilience indexes under various recovery strategies are conducted to assess the network’s recovery ability (RA) and adaptability in the face of external disturbances. …”
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Patient satisfaction with services of private dental clinics in Riyadh city: A cross-sectional study by Hadi Rajeh Alfahadi, Nouf Sahal Alharbi, Fawaz Hamad Alkazman, Mohsen S. Alabbas

“…It is important predictor of patient compliance, their ability to follow instructions, and their adherence to treatment, as well as for, determining their future use of health services. …”
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Control of Unexpected <i>Mucor lusitanicus</i> in Litchi Fruit by Hydrocooling with Hypochlorous Acid and Cold Storage by I-Fang Liu, Huey-Ling Lin, Chang-Lin Chen

“…This approach can extend the storage ability of litchi fruit while maintaining its quality, providing a safer method for local and international markets.…”
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Multi-step Prediction of Monthly Sediment Concentration Based on WPT-ARO-DBN/WPT-EPO-DBN Model by GAO Xuemei, CUI Dongwen

“…Accurate multi-step sediment concentration prediction is of significance for regional soil erosion control,flood control and disaster reduction.To improve the multi-step prediction accuracy of sediment concentration and the prediction performance of the deep belief network (DBN),this paper proposes a multi-step prediction model of monthly sediment concentration by combining the artificial rabbit optimization (ARO) algorithm,eagle habitat optimization (EPO) algorithm,and DBN based on wavelet packet transform (WPT).The model is validated using time series data of monthly sediment concentration from Longtan Station in Yunnan Province.Firstly,WPT is employed to decompose the time series data of the monthly sediment concentration of the case in three layers,and eight more regular subsequence components are obtained.Secondly,the principles of ARO and EPO algorithms are introduced,and hyperparameters such as the neuron number in the hidden layer of DBN are optimized by ARO and EPO.Meanwhile,WPT-ARO-DBN and WPT-EPO-DBN prediction models are built,and WPT-PSO (particle swarm optimization)-DBN and WPT-DBN are constructed for comparative analysis.Finally,four models are adopted to predict each subsequence component,and the predicted values are superimposed to obtain the multi-step prediction results of the final monthly sediment concentration.The results are as follows.① WPT-ARO-DBN and WPT-EPO-DBN models have satisfactory prediction effects on the monthly sediment concentration of the case from one step ahead to four steps ahead.This yields sound prediction results for five steps ahead.The prediction effect for six steps ahead and seven steps ahead is average,and the prediction accuracy for eight steps ahead is poor and cannot meet the prediction accuracy requirements.② The multi-step prediction performance of WPT-ARO-DBN and WPT-EPO-DBN models is superior to WPT-PSO-DBN models and far superior to WPT-DBN models,with higher prediction accuracy,better generalization ability,and larger prediction step size.③ ARO and EPO can effectively optimize DBN hyperparameters,improve DBN prediction performance,and have better optimization effects than PSO.Additionally,WPT-ARO-DBN and WPT-EPO-DBN models can give full play to the advantages of WPT,new swarm intelligence algorithms and the DBN network and improve the multi-step prediction accuracy of monthly sediment concentration,and the prediction accuracy decreases with the increasing prediction steps.…”
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Context aware machine learning techniques for brain tumor classification and detection – A review by Usman Amjad, Asif Raza, Muhammad Fahad, Doaa Farid, Adnan Akhunzada, Muhammad Abubakar, Hira Beenish

“…Results: CNN and KNN structures, with their ability to extract highlights in image-based information, prove effective in tumor classification and segmentation, surmounting challenges in image analysis. …”
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