Clinical audit of nonoperative anaesthesia time and surgical site infections of canine tibial plateau osteotomy procedures by Amy Mann, Ciara Barr

“…Through anaesthesia record analysis we recognised that nonoperative anaesthesia time was a variable that could be targeted for improvement. …”
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TIME SERIES IMPUTATION USING VAR-IM (CASE STUDY: WEATHER DATA IN METEOROLOGICAL STATION OF CITEKO) by Muhammad Edy Rizal, Aji H Wigena, Farit M Afendi

“…Univariate imputation methods are defined as imputation methods that only use the information of the target variable to estimate missing values. While univariate imputation methods are convenient and flexible since no other variable is required, multivariate imputation methods can potentially improve imputation accuracy given that the other variables are relevant to the target variable. …”
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VARIABILIDADE PLUVIOMÉTRICA DE ALGUNS MUNICÍPIOS DA REGIÃO METROPOLITANA DE CAMPINAS (SP) EM DOIS PERÍODOS HOMOGÊNEOS / Rainfall variability in some municipalities of the Metropoli... by Daniel Alves de Aguiar, Lucí Hidalgo Nunes

“…Periods that present lower rainfallamounts have higher values of coefficient of variation, i.e., there is higher variability of rainfalldistribution in the years which have lower totals, and in the winter. …”
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Impulse Response Mechanism of Agricultural Drought to Local Climate Factor at Different Time Scales in Karst Region by YU Huan, HE Zhonghua, GU Xiaolin, XU Mingjin, TAN Hongmei, YANG Shuping, YANG Qiuyun

“…From the monthly scale to the annual scale, in areas with strong karst development, the time required for SSI pulse to reach its peak value is shortened by 2 periods for factor E; while SW is opposite to this, and the non-karst area has a shorter recovery period than karst area. (3) Rainfall plays a dominant role in agricultural drought, and rainfall and wind speed played a stronger role in agricultural drought with the increase of time scale. …”
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Estimation of pea samples with different leaf types according to adaptability parameter by A. R. Ashiev, K. N. Khabibullin, M. V. Skulova

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Exploring the predictive value of carotid Doppler ultrasound and clinical features for spinal anesthesia-induced hypotension: a prospective observational study by Esmée C. de Boer, Joris van Houte, Catarina Dinis Fernandes, Tom Bakkes, Jens Muehlsteff, R. Arthur Bouwman, Massimo Mischi

“…This study investigated the value of carotid Doppler ultrasound measurements and clinical variables, both individually and combined, to predict SAIH. …”
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Facilitating wide-band oscillation analysis in wind farms with a novel linearization analysis framework based on the average-value model by Qiufang Zhang, Yin Xu, Jinghan He

“…Additionally, an object-based initial value estimation method of state variables is introduced, which, when combined with steady-state point-solving tools, greatly reduces the computational effort required for equilibrium point solving in batch linearization analysis. …”
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Upcycling Scented Pandan Leaf Waste into High-Value Cellulose Nanocrystals via Ultrasound-Assisted Extraction for Edible Film Reinforcement by Benjamard Rattanamato, Nattapong Kanha, Prem Thongchai, Kanyasiri Rakariyatham, Wannaporn Klangpetch, Sukhuntha Osiriphun, Thunnop Laokuldilok

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Prognostic value of a composite physiologic index developed by adding bronchial and hyperlucent volumes quantified via artificial intelligence technology by Michihiro Uyama, Tomohiro Handa, Ryuji Uozumi, Seishu Hashimoto, Yoshio Taguchi, Kohei Ikezoe, Kiminobu Tanizawa, Naoya Tanabe, Tsuyoshi Oguma, Atsushi Matsunashi, Takafumi Niwamoto, Hiroshi Shima, Ryobu Mori, Tomoki Maetani, Yusuke Shiraishi, Tomomi W. Nobashi, Ryo Sakamoto, Takeshi Kubo, Akihiko Yoshizawa, Kazuhiro Terada, Yuji Nakamoto, Toyohiro Hirai

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Time to recovery and its predictors among neonates undergone phototherapy at Comprehensive Specialized hospitals of the Northwest Ethiopia by Gezahagn Demsu Gedefaw, Abere Gebru Abuhay, Dawit Tesfaye Daka, Wubet Tazeb Wondie, Almaz Tefera Gonete, Fekadeselassie Belege Getaneh, Yaregal Semanew Endeshaw, Astewil Moges Bazezew, Bruck Tesfaye Legesse, Degalem Tilahun Worku, Mulugeta Endalamaw Ayenew, Asnake Tadesse Abate

“…Variables with a p-value less than 0.05 were considered statistically significant. …”
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MTAD-TF: Multivariate Time Series Anomaly Detection Using the Combination of Temporal Pattern and Feature Pattern by Q. He, Y. J. Zheng, C.L. Zhang, H. Y. Wang

“…The threshold selection part uses the root mean square error between the predicted value and the actual value to perform extreme value analysis to obtain the threshold. …”
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HIV prevalence among persons deprived of liberty in Brazil, 2017-2023: a time series analysis by Maria Rayssa do Nascimento Nogueira, Hévila Ferreira Gomes Medeiros Braga, Vitória Talya dos Santos Sousa, Nathanael de Souza Maciel, Emanuella Silva Joventino Melo, Patrícia Freire de Vasconcelos, Leilane Barbosa de Sousa

“…As for region, the highest prevalence was in the South (15.12/1,000 inmates). Aging rate (p-value 0.014), per capita household income (p-value 0.021) and municipal human development Index (MHDI) adjusted for income (p-value 0.024) showed positive associations. …”
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Performance and variability analysis of ALD-grown wafer scale HfO2/Ta2O5-based memristive devices for neuromorphic computing by Sanjay Kumar, Sanjay Kumar, Deepika Yadav, Spyros Stathopoulos, Themis Prodromakis

“…Furthermore, the least values of coefficient of variability (CV) in the device switching voltages are 6.09% (VSET) and 3.22% (VRESET) in the case of device-to-device (D2D) while 1.76% (VSET) and 2.14% (VRESET) in the case of cycle-to-cycle (C2C). …”
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Novel energy savings method considering extra sensor battery discharge time for fish farming applications by Lisbeth Haydee Rivera Betancur, Alvaro Suárez, Jeison Marin Alfonso

“…Finally, we showed that the number of interpolated values is of a broader range for aquatic sensors than for outdoor sensors such as ambient temperature. …”
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Decoding the Risk: Heart Rate Variability as a Powerful Predictor of Sudden Cardiac Death in Chronic Hemodialysis Patients—A 36-Month Prospective Study by Petar Avramovski, Maja Avramovska, Zorica Nikleski, Liljana Todorovska, Kosta Sotiroski, Vesna Siklovska, Irena Trajcevska, Saso Vasilevski

“…Among CHPs, SDNN was significantly lower in deceased patients (79.20 ± 14.84 ms) compared to survivors (106.91 ± 23.09 ms, P = 0.0097). The mean survival time for SCD was 34.8 ± 5.3 months. Cox regression coefficients b (-0.1146, 0.1224, 0.0781, and 0.0934), hazard ratio (HR) (0.8917, 1.1303, 1.0812, and 1.0979), and p-value (0.042, 0.203, 0.680 and 0.378) for SDNN, hs-CRP, albumin and hemodialysis (HD) duration, respectively, showed strongest predictive impact for SCD of HRV (SDNN) covariate, with hazard rate rising by 1.12145 (12.45%) for every single unit decrease of SDNN. …”
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High facility-level serum potassium variability associated with mortality in hemodialysis patients: results from Chinese Dialysis Outcomes and Practice Patterns Study (DOPPS) by Xinju Zhao, Fan Fan Hou, Xinling Liang, Zhaohui Ni, Xiaonong Chen, Yuqing Chen, Liangying Gan, Li Zuo

“…The role of facility-level serum potassium (sK+) variability (FL-SPV) in dialysis patients has not been extensively studied. …”
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Interval Forecasting Using GEV Regression With Stochastic Search Variable Selection: A Simulation Study and Its Application to Forecast Imported Meat Price Range by Dedy Dwi Prastyo, Ike Yuniarti, Setiawan, Santi Puteri Rahayu

“…However, predicting this price range is challenging due to the asymmetric distribution of import prices, non-stationary trends, and time-varying covariates. Numerous covariates, including lags of response variables, increase computational complexity and multicollinearity issues, requiring variable selection to identify the most impactful covariates. …”
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Optimal Service Time Distribution for an <i>M</i>/<i>G</i>/1 Waiting Queue by Mario Lefebvre, Roozbeh Yaghoubi

“…When the service times are exponential random variables, we can appeal to dynamic programming to obtain the optimal solution. …”
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Global Capital Flows, Time Varying Fundamentals and Transitional Exchange Rate Dynamics: An MS-VAR Approach by Süleyman Hilmi Kal, İlhami Gündüz

“…This paper studies whether dynamic relationship between exchange rate and economic and financial fundamentals vary depending on exchange rate is overvalued and undervalued with respect to its fundamental value. To achieve this, we implement two-state Markov Switching Vector Auto Regression (MSVAR) model with time varying transition probabilities to investigate whether the relationship among exchange rate, interest rate and inflation dynamics depend on overvaluation and undervaluation of exchange rates for the pre-crises period between years 1972-2009. …”
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Hybrid machine learning for real-time prediction of edema trajectory in large middle cerebral artery stroke by Ethan Phillips, Odhran O’Donoghue, Yumeng Zhang, Panos Tsimpos, Leigh Ann Mallinger, Stefanos Chatzidakis, Jack Pohlmann, Yili Du, Ivy Kim, Jonathan Song, Benjamin Brush, Stelios Smirnakis, Charlene J. Ong, Agni Orfanoudaki

“…Abstract In treating malignant cerebral edema after a large middle cerebral artery stroke, clinicians need quantitative tools for real-time risk assessment. Existing predictive models typically estimate risk at one, early time point, failing to account for dynamic variables. …”
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