Research on Vehicle Path Planning Method with Time Windows in Uncertain Environments by Ying Cong, Kai Zhu

“…Practical constraints like time windows and load capacity are incorporated, and uncertain variables, such as carbon emission factors, are modeled using normal distributions. …”
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Toward a Self-Inflating Bag Mechanical Ventilator, Maturation in Continuous Use, Safety, and Repeatability for Ventilatory Variables by Noe Rodriguez, Carlos Rubio, Leonardo Barriga, Fernando Fonseca, Jorge Soto, Jose Pineda, David Sanchez, Antonio Rojas, David Lopez, Dalia Madrigal, Blanca Villagran, Mayra Sosa, Silvio Ñamendys, Alan Gutierrez, Alain Cueto

“…Many proposals had problems with continuous use time, repeatability of ventilatory variables, high partial pressure of carbon dioxide (PaCO2) values, and a decreasing fraction of inspired oxygen (FiO2) for high respiratory rates.Objective This study aimed to demonstrate that our technology, based on automated compression of an SIB, can operate for several days, is repeatable in its ventilatory variables, and is safe in the ventilator-patient interaction.Materials and Methods Ehecatl-4T (EHT) MV was based on SIB. …”
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Enhancing Balance, Strength, Flexibility and Spatiotemporal Gait Parameters in Pediatric Cerebral Palsy: Treadmill Training at Variable Inclinations by Neşe Toktaş, Hande Şenol, Mustafa Hapak, Ahmet Alptekin, Berna Ramanlı

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Optimized production of 89Zr as a medical radioisotope on a variable energy cyclotron and external beam-line by Diana Cocioabă, Simona Baruta, Liviu Crăciun, Radu Leonte, Andrei Necsoiu, Maria-Roxana Tudoroiu-Cornoiu, Alexandru Jipa, Dana Niculae

“…Abstract Background Zirconium-89 (89Zr) is a highly valued diagnostic radionuclide for positron emission tomography (PET) due to its long physical half-life of 78.4 h and decay characteristics, being preferred for the radiolabelling of nanoparticles and slow kinetics macromolecules, such as antibodies. 89Zr-based high-resolution PET images can be employed to scan tumours and localize the tracer on a longer timeframe, which allows for real-time therapy monitoring. …”
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The impact of spatiotemporal variability of environmental conditions on wheat yield forecasting using remote sensing data and machine learning by Keltoum Khechba, Mariana Belgiu, Ahmed Laamrani, Alfred Stein, Abdelhakim Amazirh, Abdelghani Chehbouni

“…The two models performed equally well across both the zones and the whole study area (SA) when using weather data as the input variable. For instance, across SA, they achieved average R2 values of 0.60 and 0.81 for all months during the 2019–2020 and 2020–2021 agricultural seasons, respectively. …”
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Assessing the impact of macroeconomic variables on environmental quality in the MENA using logarithmic mean divisia and co-integration panel by Ali Afzali, Vahid Majed

“…To long-term analysis, After determining the input values related to MENA region, The panel data method was used that indicate the presence of co-integration in the model, Co-integration concept is reminiscent of a long-run equilibrium relationship between economic systems move over time towards it (Noferesti, 1999). …”
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Computing the time-dependent activity rate using non-declustered and declustered catalogues – a first step towards time-dependent seismic hazard calculations for operational earthq... by D. Montiel-López, S. Molina, S. Molina, J. J. Galiana-Merino, J. J. Galiana-Merino, I. Gómez, I. Gómez, A. Kharazian, J. L. Soler-Llorens, J. A. Huesca-Tortosa, A. Guardiola-Villora, G. Ortuño-Sáez

“…In this work, we propose a methodology that includes the spatially gridded time-dependent <span class="inline-formula"><i>b</i></span> value and activity rate computation using seismic clusters in PSHA calculations. …”
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Procedure Time of Endovascular Thrombectomy as Performance Measure of Acute Stroke Treatment by Eung-Joon Lee, Han-Yeong Jeong, Jayoun Kim, Nan Hee Park, Min Kyoung Kang, Dongwhane Lee, Jinkwon Kim, Yo Han Jung, Sungwook Yu, Wook-Joo Kim, Han-Jin Cho, Kyungbok Lee, Tai Hwan Park, Mi Sun Oh, Ji Sung Lee, Joon-Tae Kim, Byung-Woo Yoon, Jong-Moo Park, Hee-Joon Bae, Keun-Hwa Jung

“…PT <60 minutes was significantly associated with successful recanalization after adjusting for confounding variables (aOR: 1.66, 95% CI: 1.33–2.07). Moreover, after adjusting for covariates, age≥65 years (aOR: 1.20, 95% CI: 1.05–1.38), onset-to-door time (aOR: 1.03, 95% CI: 1.01–1.04), door-to-puncture time (aOR: 1.05, 95% CI: 1.03–1.06), posterior circulation stroke (PCS) (aOR: 1.13, 95% CI: 1.02–1.28), and smoking (aOR: 1.24, 95%CI: 1.09–1.45) independently predicted PT ≥60 minutes. …”
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Mild Gait Impairment and Its Potential Diagnostic Value in Patients with Early-Stage Parkinson’s Disease by Zhuang Wu, Xu Jiang, Min Zhong, Bo Shen, Jun Zhu, Yang Pan, Jingde Dong, Pingyi Xu, Wenbin Zhang, Jun Yan, Li Zhang

“…We observed increased variability of stride length (SL) (P<0.001), stance phase time (StPT) (P=0.004), and swing phase time (SwPT) (P=0.011) in PD. …”
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Bifurcations of Spatially Inhomogeneous Solutions of a Boundary Value Problem for the Generalized Kuramoto–Syvashinsky Equation by Alina V. Sekatskaya

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Exploring the diagnostic value of vestibular-evoked myogenic potentials in Multiple Sclerosis: a systematic review by Arunachalam Arunagiri Subramanian, Nirupama Siddaraju

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Rapid and Non-Invasive Determination of Iodine Value by Magnetic Resonance Relaxometry in Commercial Edible Oils by Víctor Remiro, María Dolores Romero-de-Ávila, José Segura, María Isabel Cambero, María Encarnación Fernández-Valle, David Castejón

“…This study presents a fast, non-invasive method to determine the iodine value (IV) of edible oils using Time Domain Nuclear Magnetic Resonance (TD-NMR) and Magnetic Resonance Imaging (MRI) techniques. …”
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Teachers’ generative AI self-efficacy, valuing, and integration at work: Examining job resources and demands by Rebecca J. Collie, Andrew J. Martin, Dragan Gasevic

“…Among 368 Australian primary and secondary school teachers, our findings revealed that genAI support was associated with greater genAI self-efficacy and genAI valuing. Time pressure was also linked with greater genAI valuing, whereas disruptive student behavior was not linked with the genAI motivation or engagement variables. …”
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Observer Design for RIP Stability Using Takagi-Sugeno Fuzzy Model and Mean Value Theorem by Quy-Thinh Dao, Bao-Trung Dong, Thi-Van-Anh Nguyen

“…By combining the differential mean value theorem with sector nonlinearity transformation, the observer guarantees robust performance in the presence of unmeasured premise variables. …”
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AFFECTING FACTORS OF AGRICULTURAL GDP VALUE IN IRAQ AND NEIGHBORING ARAB COUNTRIES DURING (1980-2010) by Dawood S, Basma K. S.

“…In order to prove the hypothesis of this search a number of economic factors that vary in their impact on the value of agricultural GDP and of (b crop area planted, the number of agricultural workers, agricultural tractors, combine harvesters agricultural, fertilizer, chemical, agricultural loans, farm subsidies, the exchange rate) had been selected the data had been used from those for time - series variables standing thirty -one-year– old. …”
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Ready-to-eat mango and peanut bar as a value-added alternative for producers and market demand by Dominique Moreno-Ayala, María Dolores Muy-Rangel, José Basilio Heredia, Diego Alonso Gastelum-Chavira, Josefina León-Félix, Octavio Valdez Lafarga, José Benigno Valdez-Torres

“…A three-component mixture design was applied: mango (74–88 %), peanut (7–20 %), and walnut (1–5 %), with extreme vertices and two process variables (temperature and time). An optimized mango bar with dehydrated fruit was made under conditions of 60 °C for 3 h and a mixture of 85.8, 8.7, 3.5, and 2 % mango, peanut, walnut, and almond, respectively. …”
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Causal relationship between renewable energy consumption and manufacturing value added: Evidence from Kazakhstan by Ramil Hasanov, Asli Kazimova, Aytakin Mammadova, Rashad Salahov, Laszlo Vasa

“…The aim of the study is to assess the direction and nature of causality between these variables over the period from 2000 to 2021. To this end, the Toda-Yamamoto Granger causality test is applied, offering robust results regardless of the order of integration of the time series data. …”
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An Estimation of Cost-Effectiveness Threshold: Calculating the Monetary Value of a Quality-Adjusted Life Year by Samira Nourifard, Shahram Ghaffari, Mahmood Yousefi

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Clinical value of prognostic instruments to identify patients with an increased risk for osteoporotic fractures: systematic review. by Johann Steurer, Cyrill Haller, HansJörg Häuselmann, Florian Brunner, Lucas M Bachmann

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Anomaly detection model for multivariate time series based on stochastic Transformer by Weigang HUO, Rui LIANG, Yonghua LI

“…Aiming at the problem that the existing multivariate time series anomaly detection models based on variational autoencoders could not propagate long-term temporal dependencies between stochastic variables in latent space, the stochastic Transformer for MTS anomaly detection (ST-MTS-AD) model which combined Transformer encoder with VAE was proposed.In the inference network of the ST-MTS-AD, the MTS long-term temporal dependent features generated by Transformer encoder and the sampled values of the stochastic variables at the previous moment were inputted into the multilayer perceptron, the approximate posterior distribution of the stochastic variables at the current moment was generated by the multilayer perceptron, and the temporal dependencies between stochastic variables were realized.The gated transition function(GTF) was used to generate the prior distribution of stochastic variables.The generation network of the ST-MTS-AD reconstructed the distribution of the MTS values at each moment by the multilayer perceptron whose input was the MTS long-term temporal dependent features generated by the inference network and the approximate posterior sampling values of stochastic variables.The distribution of normal MTS dataset was learned by the variational inference technology, and the abnormal MTS segment was determined by the log-likelihood of the reconstruction probability.Experiments on four public datasets show that the ST-MTS-AD model significantly improves the F1 score over the typical baseline models.…”
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