The impact of environmental variables on reed stands of the intermittent Lake Cerknica, Slovenia: 40 years of change by Nik Ojdanič, Alenka Gaberščik, Igor Zelnik, Aleksandra Golob

“…Yearly dynamics of reed stands showed a consistent alternation between significant changes in MSAVI2 with short periods of smaller changes. The largest amplitude of change occurred at the reed stand most affected by disturbances. …”
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Fuzzy Approach in Rail Track Degradation Prediction by Mostafa Karimpour, Lalith Hitihamillage, Najwa Elkhoury, Sara Moridpour, Reyhaneh Hesami

“…Accurate models can increase the efficiency of maintenance activities and decrease the cost of maintenance in long-term. In this research, a short review of rail track degradation prediction models has been discussed before estimating rail track degradation for the curves and straight sections of Melbourne tram track system using Adaptive Network-based Fuzzy Inference System (ANFIS) model. …”
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Online Learning as e-Learning: The Quality and Results (Critical Analysis) by A. V. Dozhdikov

“…The conclusion is made about the priority development of short-term online courses related to the development of rather narrow and applied competencies in demand by the modern information society, about the possible success of online technologies in case of obtaining a “second higher” education and improving qualifications. …”
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Bacteriophages RCF and 1-6bf can control the growth of avian pathogenic Escherichia coli by Farah Khan, Hafsa Naseem, Muhammad Asif, Iqbal Alvi, Shafiq ur Rehman, Abdul Rehman

“…Rcf has an icosahedral capsid of 18 nm with a tail size of 5 nm, while 1-6bf has an elongated head capsid of 93 nm and a short non-contractile tail of 8 nm with tail fibers for attachment. …”
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Combining machine learning algorithms for bridging gaps in GRACE and GRACE Follow-On missions using ERA5-Land reanalysis by Jaydeo K. Dharpure, Ian M. Howat, Saurabh Kaushik, Bryan G. Mark

“…Unlike previous studies, we use a combination of Machine Learning (ML) methods—Random Forest (RF), Support Vector Machine (SVM), eXtreme Gradient Boosting (XGB), Deep Neural Network (DNN), and Stacked Long-Short Term Memory (SLSTM)—to identify and efficiently bridge the gap between GRACE and GFO by using the best-performing ML model to estimate TWSA at each grid cell. …”
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A comprehensive analysis of advanced solar panel productivity and efficiency through numerical models and emotional neural networks by Ali Basem, Serikzhan Opakhai, Zakaria Mohamed Salem Elbarbary, Farruh Atamurotov, Natei Ermias Benti

“…To address this gap, a numerical model alongside a novel EANN was employed to simulate the system’s electrical characteristics, including open-circuit voltage, short-circuit current, system resistances, maximum power point characteristics, and characteristic curves. …”
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Evidence for the replication of a plant rhabdovirus in its arthropod mite vector by Hideki Kondo, Miki Fujita, Paul Telengech, Kazuyuki Maruyam, Kiwamu Hyodo, Aline Daniele Tassi, Ronald Ochoa, Ida Bagus Andika, Nobuhiro Suzuki

“…In the mite and plant datasets, a large number of sequence reads were aligned to genomic regions of OFV RNA1 and RNA2 corresponding to transcribed viral gene mRNAs. This includes the short polyadenylated transcripts originating from the leader and trailer regions at the ends of the viral genome, which are believed to play a crucial role in viral transcription/replication. …”
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Effects of White Quinoa Polysaccharide on Regulation of Glucolipid Metabolism in Type 2 Diabetic Mice by Yanqing ZANG, Yingying CHUANG, Changyuan WANG, Yang CAO

“…After four weeks of continuous feeding, the mice were dissected, and the serum indexes, liver indexes, and short-chain fatty acids (SCFAs) of the mice were determined. …”
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Psychometric evaluation of the chinese version of transgender congruence scale by Lvfen Gao, Xu Zhang, Huiyi Li, Chuying Lu, Jinhui Li, Qian Tao

“…Conclusions These findings suggested that the TCS can serve as a short yet effective tool for assessing the congruence between external appearance and internal self among TGD individuals in clinical or research settings.…”
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Serine Deficiency Exacerbates Inflammation and Oxidative Stress via Microbiota-Gut-Brain Axis in D-Galactose-Induced Aging Mice by Fengen Wang, Hongbin Zhou, Ligang Deng, Lei Wang, Jingqing Chen, Xihong Zhou

“…Additionally, serine deficiency in combination with D-galactose injection significantly decreased fecal butyric acid content and gene expression of short-chain fatty acid transporters (Slc16a3 and Slc16a7) and receptor (Gpr109a) in the brain. …”
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Malnutrition among the Elderly in Malaysia and Its Associated Factors: Findings from the National Health and Morbidity Survey 2018 by Mohamad Hasnan Ahmad, Ruhaya Salleh, Cheong Siew Man, Munawara Pardi, Norsyamlina Che Abdul Rahim, Norhafizah Shahril, Mohd Hatta Abdul Mutalib, Suzana Shahar, Noor Ani Ahmad

“…Malnutrition was identified using a validated Mini Nutrition Assessment-Short Form (MNA-SF). Variables on sociodemographic, health status, and dietary practices were also obtained. …”
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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

“…Focusing on a subset of particle flux, we use Principal Component Analysis for dimensionality reduction and Long Short‐Term Memory (LSTM) neural networks to perform dynamic modeling. …”
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The efficacy analysis of laparoscopic-assisted Soave procedure for Hirschsprung’s disease in neonates and infants within 3 months of age by Renpeng Xia, Tidong Ma, Fan Zhao, Yong Xiao, Yong Feng, Ming Li, Chanjuan Zou, Guang Xu, Chonggao Zhou

“…There were 37 cases (13.9%) of long-segment type, 226 cases (84.6%) of common type, and 4 cases (1.5%) of short-segment type. Of the 267 cases, 214 cases were followed up (80.1%), 60 cases with fecal contamination, the incidence rate was 28.0%, and 5 cases were tertiary fecal contamination. …”
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GRU-based multi-scenario gait authentication for smartphones by Qi JIANG, Ru FENG, Ruijie ZHANG, Jinhua WANG, Ting CHEN, Fushan WEI

“…At present, most of the gait-based smartphone authentication researches focus on a single controlled scenario without considering the impact of multi-scenario changes on the authentication accuracy.The movement direction of the smartphone and the user changes in different scenarios, and the user’s gait data collected by the orientation-sensitive sensor will be biased accordingly.Therefore, it has become an urgent problem to provide a multi-scenario high-accuracy gait authentication method for smartphones.In addition, the selection of the model training algorithm determines the accuracy and efficiency of gait authentication.The current popular authentication model based on long short-term memory (LSTM) network can achieve high authentication accuracy, but it has many training parameters, large memory footprint, and the training efficiency needs to be improved.In order to solve the above problems a multi-scenario gait authentication scheme for smartphones based on Gate Recurrent Unit (GRU) was proposed.The gait signals were preliminarily denoised by wavelet transform, and the looped gait signals were segmented by an adaptive gait cycle segmentation algorithm.In order to meet the authentication requirements of multi-scenario, the coordinate system transformation method was used to perform direction-independent processing on the gait signals, so as to eliminate the influence of the orientation of the smartphone and the movement of the user on the authentication result.Besides, in order to achieve high-accuracy authentication and efficient model training, GRUs with different architectures and various optimization methods were used to train the gait model.The proposed scheme was experimentally analyzed on publicly available datasets PSR and ZJU-GaitAcc.Compared with the related schemes, the proposed scheme improves the authentication accuracy.Compared with the LSTM-based gait authentication model, the training efficiency of the proposed model is improved by about 20%.…”
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Non3 is an essential Drosophila gene required for proper nucleolus assembly by E. N. Andreyeva, A. A. Ogienko, A. A. Yushkova, J. V. Popova, G. A. Pavlova, E. N. Kozhevnikova, A. V. Ivankin, M. Gatti, A. V. Pindyurin

“…However, heteroallelic combinations of viable Non3 mutations (Non3197, Non3310 and Non3259) display a Minute-like phenotype, consisting in delayed development and short and thin bristles, suggesting that they are defective in ribosome biogenesis. …”
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An investigation of Eccentric Versus Concentric Resistance Training: The Role of Movement Velocity and Training Type by Settar Koçak, Gürcan Ünlü

“…Although, it is postulated that eccentric and concentric contractions provide different physiological adaptations, previous studies comparing the short-term effects of these two contractions have reported contradictory findings, with some studies reporting greater strength development with eccentric, some with concentric and some with similar within both training (18). …”
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Development of Spray-Dried Micelles, Liposomes, and Solid Lipid Nanoparticles for Enhanced Stability by Shradha Dattani, Xiaoling Li, Charina Lampa, Amanda Barriscale, Behzad Damadzadeh, David Lechuga-Ballesteros, Bhaskara R. Jasti

“…The physicochemical properties of the nanocarriers were determined via scanning electron microscopy (SEM), Karl Fischer titration, differential scanning calorimetry (DSC), and dynamic light scattering (DLS). Short-term stability of all nanocarrier formulations was compared by measuring particle size, polydispersity index (PDI), and paclitaxel retention over 7 days at room temperature and at 4 °C. …”
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Evaluation of the Yttrium Oxide Effect on Some Mechanical Properties of (Type III) Dental Stone by Najwah Yousuf Hameed, Fatima Kadhim Ghadeer, Maytham Jalil Fadheel

“…The control and experimental groups' mechanical parameters (surface hardness and compressive strength) were measured, and a Shore D hardness tester was used to indent the specimens. …”
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Pigment Epithelium-Derived Factor-Loaded PEGylated Nanoparticles as a New Antiangiogenic Therapy for Neovascularization by Feng Zhao, Wenlei Fei, Zhouyue Li, Hanyang Yu, Lei Xi

“…However, its application is restricted by its instability and short half-life. The present study is aimed at investigating the cytotoxicity and antiangiogenic effects of PEDF-loaded PEGylated nanoparticles (NP-PEG-PEDF) on high glucose-stimulated human umbilical vein endothelial cells (HUVECs). …”
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Optomechanical energy enhanced BF-QEPAS for fast and sensitive gas sensing by Weilin Ye, Linfeng He, Weihao Liu, Zhile Yuan, Kaiyuan Zheng, Guolin Li

“…Traditional beat frequency quartz-enhanced photoacoustic spectroscopy (BF-QEPAS) are limited by short energy accumulation times and the necessity of a decay period, leading to weaker signals and longer measurement cycles. …”
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