KUKHARENKOITE-(Ce) AND ITS MINERAL ASSEMBLAGE IN PEGMATITES OF THE VISHNEVYE MOUNTAINS (SOUTH URALS) by V.I. Popova, M.A. Rassomakhin, V.A. Popov, A.M. Kuznetsov, S.M. Lebedeva

“…Kukharenkoite-(Ce) and, mostly likely, yangzhumingite KMg2. 5[Si4 O10]F2 are found for the first time in the Urals.…”
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Development and Application of Improved Long-Term Datasets of Surface Hydrology for Texas by Kyungtae Lee, Huilin Gao, Maoyi Huang, Justin Sheffield, Xiaogang Shi

“…This paper describes a long-term (1918–2011) grid-based (1/8°) surface hydrological dataset for Texas at a daily time step based on simulations from the Variable Infiltration Capacity (VIC) hydrological model. …”
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Influence of Air Temperature on the Performance of Different Water-Reducing Admixtures with Respect to the Properties of Fresh and Hardened Mortar by Wilson Ricardo Leal Silva, Luiz Roberto Prudêncio, Alexandre Lima Oliveira, Gabriela Damo, Eduardo Tochetto

“…Moreover, mixture temperature was monitored and time-temperature curves were plotted in order to assess whether the admixtures affected cement hydration reactions at different temperatures. …”
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Authenticity Detection of Black Rice by Near-Infrared Spectroscopy and Support Vector Data Description by Hui Chen, Chao Tan, Zan Lin

“…A total of 142 samples from three brands were collected for spectral analysis. Each time, the samples of a brand serve as the target class whereas other samples serve as the outlier class. …”
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Monitoring the Number of Pedestrians in an Area: The Applicability of Counting Systems for Density State Estimation by D. C. Duives, W. Daamen, S. P. Hoogendoorn

“…This paper finds that counting camera systems, which have a detection error that is not correlated with the flow rate, provide a reasonably good estimation of the density within an area. At the same time, if the detection error is correlated with the flow rate, counting camera systems should only be used in the situation where symmetric demand patterns are expected.…”
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Tightly combined triple-frequency GPS and BDS for rapid wide-lane RTK positioning with consideration of carrier-phase differential inter-system bias by Wang Gao, Shuguo Pan, Liwei Liu, He Wen

“…In this paper, a tightly combined wide-lane real-time kinematic positioning method using triple-frequency GPS and BDS is proposed. …”
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Temporal pattern and effect of COVID-19 on the trend of TB, DRTB, paediatrics TB and TB with HIV Coinfection: A decadal trend analysis by Pushpendra Bairwa, Mahesh C. Verma, Asha Kumari, Ajay Gupta, Yamini Singh

“…A multiplicative model was used for conducting time series analysis. The projected yearly number of cases were estimated using the line of best fit based on the least square method. …”
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Research on Dynamic Reliability of a Jet Pipe Servo Valve Based on Generalized Stochastic Petri Nets by Yuanbo Chu, Zhaohui Yuan, Jia Chen

“…Results show the probability that the maximum error between methods of GSPN and Markov is 2.07%, the optimal repair rate set is less than 1.71µi, and also the dynamic reliability parameters become better with increasing simulation time because of failure’s recovery. Therefore, research methods and results based on GSPN are concise and realistic, which can be used for failure’s qualitative forecast and dynamic reliability’s quantitative calculation of similar complicated system.…”
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Fever and Shock in a Child: How 'good' is a Good Blood Test? by Nevin Kollannoor Chinnan, Pragnyadipta Mishra, GD Puri

“…In the pediatric emergency room, she presented with a heart rate of 136 beats/min, a respiratory rate of 56 breaths/min, a temperature of 37.8°C, a blood pressure of 60/30 mmHg and a capillary filling time of 5 s to 6 s. Shock resuscitation measures were initiated with intravenous normal saline (20 mL/kg bolus) and dopamine 5 µg/kg/min. …”
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Incorporating Machine Learning in Capture-Recapture Estimation of Survey Measurement Error by Maaike Walraad, Jonas Klingwort, Joep Burger

“…Moreover, we report on the potential impact of the quality of the non-probability source degrading over time. In particular, we study differences in prediction quality, point estimates, variance estimates, and estimates of measurement error in five years. …”
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“Yeah, I Know You Always Stay”: Menjelajahi Dunia Virtual ARMY pada Fanbase @bitiesfess Selama Hiatus Grup by Meilya Syifa Aghniya Rahman, Zainal Abidin Achmad

“…The research results reveal four key areas of fandom interaction in the @bitiesfess fanbase: 1) The communication area actively segments into four forms: real-time updates, fan jokes, nostalgia, and exposure. 2) The fanbase's creativity field actively comprises various fan edits and memes. 3) The field of knowledge during the hiatus period actively dominates with activity schedules, member updates, education, advice, and fun facts. 4) The organization and civil power field actively invite followers to support movements, e.g., streaming, philanthropy, reporting and blocking, and advocacy campaigns. …”
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Fast algorithms for classical specifications of stabiliser states and Clifford gates by Nadish de Silva, Wilfred Salmon, Ming Yin

“…For example, we extract the stabiliser tableau of a $2^n \times 2^n$ matrix, promised to be a Clifford gate, in $O(n 2^n)$ time. …”
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The Prevalence and Risk Factors of Postpartum Depression in Western India: A Cross-Sectional Study by Dharti J. Kansagra, Chikitsa D. Amin, Rajendra B. Chauhan

“…It poses a major global public health challenge as it remains unrecognized most of the time and impairs both the immediate and long-term health of both the mother and child. …”
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COMPASS: A New COnductance Model Based on PFISR And SWARM Satellite Observations by Zihan Wang, Shasha Zou

“…It is found that both Hall and Pedersen conductances vary as a power of j∥, and the power index a depends on magnetic local time and the direction of FACs, ranging from 0.0 to 0.6. …”
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Feature Selection for Very Short-Term Heavy Rainfall Prediction Using Evolutionary Computation by Jae-Hyun Seo, Yong Hee Lee, Yong-Hyuk Kim

“…We developed a method to predict heavy rainfall in South Korea with a lead time of one to six hours. We modified the AWS data for the recent four years to perform efficient prediction, through normalizing them to numeric values between 0 and 1 and undersampling them by adjusting the sampling sizes of no-heavy-rain to be equal to the size of heavy-rain. …”
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Mismatch Based Diagnosis of PV Fields Relying on Monitored String Currents by Pierluigi Guerriero, Luigi Piegari, Renato Rizzo, Santolo Daliento

“…As figure of merit, the difference between the maximum allowed energy production (evaluated as the integral of the power during a defined time interval) and the energy actually produced by the strings is defined. …”
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Optimizing the Locations and Sizes of Solar Assisted Electric Vehicle Charging Stations in an Urban Area by Dong Ji, Mingsong Lv, Jiayu Yang, Wang Yi

“…The results show that the proposed method can produce high quality decisions within reasonable computation time. The work of this paper will provide important information for decision makers to integrate solar energy into the EV charging infrastructure.…”
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Development a forward-reverse network optimization model with delay reduction and multistage fuzzy demand satisfaction policy by Vajiheh Torkian, Amir Shojaie, Omid Boyer Hassani

“…With the increase in population and the increase in environmental sensitivities, the forward-reverse supply chain has attracted a lot of attention, which pursues goals such as optimization, customer satisfaction, responding to their needs in the shortest time with the lowest cost and high quality. In this paper, a forward- reverse multi-product and multi-period network is designed under the condition of uncertainty in the demand parameter. …”
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Tolerance to Systemic Isotretinoin Therapy in Two Patients Using Highly Wettable Contact Lenses by Ayşegül Arman, D. Deniz Demirseren, Gulsen Akoglu

“…Tear film function tests including Schirmer tests and tear break up time (TBUT) test and ocular surface staining with fluorescein were done. …”
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An Efficient Cluster-Based Mutual Authentication and Key Update Protocol for Secure Internet of Vehicles in 5G Sensor Networks by Xinzhong Su, Youyun Xu

“…The Internet of Vehicles (IoV), a key component of smart transportation systems, leverages 5G communication for low-latency data transmission, facilitating real-time interactions between vehicles, roadside units (RSUs), and sensor networks. …”
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