Research on the spatial structure of desert tourism flow based on ecological digital footprints: a case study of Ningxia by Baoling Dong, Xiaowei Guo, Qiang Luo

“…The results indicate that (1) the high rate of visitors in Ningxia is closely related to the grade value of the scenic spots and the popularity of cities, and the most popular scenic spots are concentrated in the Ningxia section of the Yellow River Basin. (2) Hot desert scenic spots with historical, cultural, and urban development characteristics have greater advantages and competitiveness; these spots can better connect with less popular tourism nodes and serve as breakthrough points for the rational allocation of tourism resources. (3) The tourism flow network among scenic spots in Ningxia is relatively loose, with an imbalance in the tourism network among these spots. (4) The spatial tourism flow presents a pattern of superposition and coincidence of multiple triangular structures. …”
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The Al-Abiadh Valley Drainage Basin Environmental Aspects Extraction Using Quantitatively Morphometric Analyses of Shuttle Radar Topographic Mission Data by Jawad et al.

“…The flood hazard is absent at the basin mouth because the valley runoff takes a long time to reach the sink (Al-Razaza Lake), located in the middle part of Iraq, with a low flow peak due to the high permeability soil, the arid to semi-arid climate, and the low annual precipitation rate.          The region studied is an alluvial basin with similar geological structural solidity in most places. …”
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Klinische Sportmedizin by Hazzaa Walaa Eldin A, 2, Mattes K

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Research on Longitudinal Intelligent Control of Autonomous-rail Rapid Tram by TANG Liang, SHEN Mengyu, XIAO Lei

“…According to the simulation results, using the developed longitudinal intelligent control algorithm, the test train can depart, accelerate, decelerate and stop stably following the train ahead, and automatically decelerate on curves and run passing traffic light intersections, with a speed control accuracy within ± 1 km / h, impact rate less than 0.75 m/s³, and alignment error for parking less than ± 0.21 m, demonstrating the effectiveness to reduce driving intensity for drivers, and improve the train running comfort and operating efficiency.…”
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South Africa's diminishing coal reserves by Chris Hartnady

“…Despite this doubling since to just over 8 Gt, the underlying pattern has been one of faltering growth. Hubbertarian analysis predicts a peak in production rate of about 284 Mt/yr in 2020, at which stage approximately half (12 Gt) of the total resource (23 Gt) will be exhausted. …”
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Design of a Small Modified Minkowski Fractal Antenna for Passive Deep Brain Stimulation Implants by Sara Manafi, Hai Deng

“…The performance metrics such as the return loss, the specific absorption rate (SAR), and the radiation pattern within skin and muscle-fat-skin tissues are evaluated for the designed antenna. …”
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Measuring the urbanization in Ukrainian regions: current approaches by Irina Gukalova, Natalia Omelchenko

“…In many post-Soviet countries a share of urban population does not reflect the penetration rate of «urban» conditions, of modern culture and comfort, but reflects concentration of industrial production. …”
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The transcription factor PbeNAC83 positively regulates the Valsa canker resistance in apple and pear by DOU Zhiqi, CAI Minrui, DU Chenglong, HU Huanhuan, ZUO Cunwu

“…After inoculation with Vp, the spread rate of Valsa canker disease was significantly inhibited. …”
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A study on non-fermenting Gram-negative bacilli: their isolation and in vitro susceptibility in a tertiary care hospital in Central India by Preeti Sharma, Varsha Wanjare, Sunanda Shrikhande Zodpey

“…The aim of this study was to determine the isolation rate of NFGNB along with its susceptibility pattern in all the clinical samples. …”
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Coping and positive mental health in Canada among youth and adults: findings from a population-based nationally representative survey by Mihojana Jhumi, Laura L. Ooi, Karen C. Roberts, Melanie Varin

“…MethodsWe analyzed data from the 2019 Canadian Community Health Survey on the self-rated ability of adults and youth (N = 60 643; 12+ years) to cope with unexpected or difficult problems and day-to-day demands along with three PMH outcomes: selfrated mental health (SRMH), happiness and life satisfaction. …”
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Evaluating the efficacy of Internet-Based Exercise programme Aimed at Treating knee Osteoarthritis (iBEAT-OA) in the community: a study protocol for a randomised controlled trial by Abhishek Abhishek, Sameer Akram Gohir, Paul Greenhaff, Ana M. Valdes

“…The participants will be assessed using a Numerical Rating Scale, the Western Ontario and McMaster Universities Osteoarthritis Index, the Arthritis Research UK Musculoskeletal Health Questionnaire, the Pittsburgh Sleep Quality Index, 30 s sit to stand test, timed up and go test, quantitative sensory testing, musculoskeletal ultrasound scan, muscle thickness assessment of the vastus lateralis, and quadriceps muscles force generation during an isokinetic maximum voluntary contraction (MVC). …”
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Subjective Performance Expectations From and Demographic and Categorical Differences in the Acceptance of Virtual Reality or AI Technologies in Rehabilitation Programs: Cross-Secti... by Guido Waldmann, Dominik Raab

“…A significant rank correlation was observed for 103 out of 105 pairwise comparisons of the therapeutic fields, with distinct patterns of effects sizes within the chosen categories. …”
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Malware-SeqGuard: An Approach Utilizing LSTM and GRU for Effective Detection of Evolving Malware in Android Environments by Muhammad Usama Tanveer, Kashif Munir, Abdulatif Alabdulatif, Anas R. Najdawi, Rutvij H. Jhaveri

“…In this study, we introduce a state-of-the-art scheme for Android malware detection that combines the strengths of Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) networks. These advanced deep learning architectures are particularly adept at capturing sequential dependencies within data making them well-suited for analyzing complex time-series information, such as user behaviour patterns system logs and network traffic. …”
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Disentangling the roles of natural variability and climate change in Canada’s 2023 fire season by Clair Barnes, Piyush Jain, Theodore R Keeping, Nathan Gillett, Jonathan Boucher, Philippe Gachon, Dorothy Heinrich, Megan Kirchmeier-Young, Yan Boulanger

“…We find that the annual accumulated daily severity rating (DSR), a measure of weather-related fire risk) is increasing in most ecozones in response to global warming, with the largest increases in the early months of the fire season; although temperatures are increasing everywhere, this effect is offset in some regions by increased precipitation. …”
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PH INDICATORS AND MICROCRYSTALIZATION OF ORAL LIQUID IN ADOLESCENTS OF 15-18 YEARS WHO STUDY IN DIFFERENT EDUCATIONAL INSTITUTIONS by L.F. Kaskova, V.M. Batig, I.I. Drozda, O.V. Mytchenok

“…In college students, the micro crystallization rate corresponded to a low level of 15 and 16 years old. …”
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Selfish Node Detection in Delay Tolerant Networks Using Fuzzy Logic by Fahimeh Rashidjafari, Nahideh Derakhshanfard, Behrouz Shahrokhzadeh, Ali Ghaffari

“…Simulation results demonstrate that the proposed method enhances the delivery rate by 10% and reduces the average delay by 15% and hop count by 8% when compared to existing approaches.…”
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Radiological features of gait phenotypes in patients with idiopathic normal pressure hydrocephalus by Silvia Nicolosi, Silvia Nicolosi, Massimiliano Todisco, Massimiliano Todisco, Matteo Paoletti, Eduardo Caverzasi, Eduardo Caverzasi, Francesco Tarantino, Elena Ballante, Francesca Valentino, Roberta Zangaglia, Silvia Figini, Silvia Figini, Giuseppe Cosentino, Giuseppe Cosentino, Claudio Pacchetti, Anna Pichiecchio, Anna Pichiecchio

“…We compared the iNPH subtypes assessing differences in eight linear radiological indexes and their clinical correlates.ResultsThe Height of the third ventricle was the only radiological feature that differed between the two motor phenotypes (p < 0.05), being higher in the parkinsonian subtype and showing a trend of correlation with the motor score of the Movement Disorder Society-Unified Parkinson’s Disease Rating Scale and with the continence score of the iNPH Rating Scale. …”
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Dual smart sensor data-based deep learning network for premature infant hypoglycemia detection by Muhammad Shafiq, J. Kavitha, Dhruva R. Rinku, N. K. Senthil Kumar, Kamal Poon, Amar Y. Jaffar, V. Saravanan

“…Based on features, the sorted-out data gets evaluated through a GRU-LSTM (Gated Recurrent Unit - Long Short-Term Memory) network to identify the state of the infant as usual and suggestive of hypoglycemia—blood glucose below 70 mg/dL, pale complexion, profuse perspiration. …”
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Transfer learning for securing electric vehicle charging infrastructure from cyber-physical attacks by Ahmad Almadhor, Shtwai Alsubai, Imen Bouazzi, Vincent Karovic, Monika Davidekova, Abdullah Al Hejaili, Gabriel Avelino Sampedro

“…The study also provides a comparison with different DL models such as Long Short-Term Memory (LSTM), Recurrent Neural Networks (RNN), Long Short-Term Memory-Recurrent Neural Networks (LSTM-RNN), and Gated Recurrent Unit (GRU). The CICEVSE2024 (EVSE-A and EVSE-B) datasets are used to assess the framework, where one dataset is used to train and store weights, and the second is used to evaluate the learned patterns using transfer learning. …”
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An Adaptive Convolutional Neural Network With Spatio-Temporal Attention and Dynamic Pathways (ACNN-STADP) for Robust EEG-Based Motor Imagery Classification by Aaqib Raza, Mohd Zuki Yusoff

“…The proposed model integrates a Dynamic Pathway Convolution Network (DPCN) for adaptive feature extraction, incorporating a Dynamic Gating Controller (DGC) and Dynamic Adaptive Spatio-Temporal (DAST) blocks to efficiently capture multi-scale spatial and temporal dependencies. …”
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