ÜNİVERSİTELERİN YEREL GELİR VE İSTİHDAM ÜZERİNDEKİ ETKİLERİ: BATMAN ÜNİVERSİTESİ ÜZERİNE BİR UYGULAMA by Mücahit Çayın, Sevda Yapraklı

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InsectChange: Comment by Gaume, Laurence, Desquilbet, Marion

Subjects: “…Insects, Terrestrial invertebrates, Freshwater invertebrates, Insect abundance trends, Insect decline, Time series meta-analysis, Methodological biases, Agriculture, Landcover analysis, Ecological data, Database quality assessment…”
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Improving the accuracy of soil texture determination using pH and electro conductivity values with ultrasound penetration-based digital soil texture analyzer by Emre Kilinc, Umut Orhan

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ÇOKLU YAPISAL KIRILMALAR ALTINDA ENFLASYON İLE ULUSLARARASI PETROL FİYATLARI İLİŞKİSİ: TÜRKİYE ÖRNEĞİ by Gökhan Kartal

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TÜRKİYE’DE ENFLASYON ORANININ TEMEL BİLEŞENLİ LP NORM YÖNTEMİ İLE TAHMİNİ by Öznur İŞÇİ, Atillla GÖKTAŞ

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Investigating surface loading effect on seasonal crustal deformation observed by GNSS in Hong Kong by Hongli Lv, Xiaoxing He, Shunqiang Hu

“…The GNSS vertical time series and the corresponding AHNL deformation at all stations exhibit identical amplitudes and phases. …”
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Probable Relationship between COVID-19, Pollutants and Meteorology: A Case Study at Santiago, Chile by Giovanni A. Salini, Patricio R. Pacheco, Eduardo Mera, María C. Parodi

“…From the epidemic perspective, the infected patients number was linked to the hourly time-series of meteorological and pollutant variables, generating new time-series. …”
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IoTDQ: An Industrial IoT Data Analysis Library for Apache IoTDB by Pengyu Chen, Wendi He, Wenxuan Ma, Xiangdong Huang, Chen Wang

“…There is a growing demand for time series data analysis in industry areas. Apache IoTDB is a time series database designed for the Internet of Things (IoT) with enhanced storage and I/O performance. …”
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Control entropy: A complexity measure for nonstationary signals by Erik M. Bollt, Joseph D. Skufca, Stephen J . McGregor

“…We employ the technique against several physiological time series to illustrate its utility in characterizing the constraints on a physiological time series. …”
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Multivariate Nonlinear Analysis and Prediction of Shanghai Stock Market by Junhai Ma, Lixia Liu

“…Surrogate data method of multivariate time series shows that all the stock returns time series exhibit nonlinearity. …”
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Higher-Order Multifractal Detrended Partial Cross-Correlation Analysis for the Correlation Estimator by Keqiang Dong, Xiaojie Gao

“…In this paper, we develop a new method to measure the nonlinear interactions between nonstationary time series based on the detrended cross-correlation coefficient analysis. …”
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A Conjunction Method of Wavelet Transform-Particle Swarm Optimization-Support Vector Machine for Streamflow Forecasting by Fanping Zhang, Huichao Dai, Deshan Tang

“…In this study, a wavelet transform particle swarm optimization support vector machine (WT-PSO-SVM) model is proposed and applied for streamflow time series prediction. Firstly, the streamflow time series were decomposed into various details (Ds) and an approximation (A3) at three resolution levels (21-22-23) using Daubechies (db3) discrete wavelet. …”
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Three-Dimensional Poincaré Plot Analysis for Heart Rate Variability by Bin Wang, Dewen Liu, Xin Gao, Yunlei Luo

“…Because the standard analysis method inherently ignores the embedding temporal information of the RR interval time series, the temporal variation of the time series cannot be adequately reflected. …”
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Vibration Frequencies Extraction of the Forth Road Bridge Using High Sampling GPS Data by Jian Wang, Xiaolin Meng, Changbiao Qin, Jiaohong Yi

“…The frequency responses of 0.105 and 0.269 Hz extracted from the lateral displacement time series correlate well with the data using height displacement time series.…”
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Multivariate Local Polynomial Regression with Application to Shenzhen Component Index by Liyun Su

“…Multivariate local polynomial prediction model for nonsingle time series is a useful tool for stock market price prediction.…”
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Multi-Step-Ahead Forecasting Model for Monthly Anchovy Catches Based on Wavelet Analysis by Nibaldo Rodríguez, Claudio Cubillos, José-Miguel Rubio

“…This paper presents a p-step-ahead forecasting strategy based on two stages to improve pelagic fish-catch time-series modeling by considering annual and interannual fluctuations for northern Chile (18°S–24°S). …”
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Empirical Mode Decomposition Combined with Local Linear Quantile Regression for Automatic Boundary Correction by Abobaker M. Jaber, Mohd Tahir Ismail, Alssaidi M. Altaher

“…Empirical mode decomposition (EMD) is particularly useful in analyzing nonstationary and nonlinear time series. However, only partial data within boundaries are available because of the bounded support of the underlying time series. …”
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Comparation Tidal Harmonic Based on IoT Instrument Using Admiralty Method in Tanjungpinang Waters by M Hasbi Sidqi Alajuri, Hollanda Arief Kusuma, Tonny Suhendra, Dwi Eny Djoko Setyono

“…The difference in each time series seen from the data (MSL) is 7cm. Therefore, Tidal data from each time series has no significant differences.…”
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A novel machine learning approach for spatiotemporal prediction of EMS events: A case study from Barranquilla, Colombia by Dionicio Neira-Rodado, Juan Camilo Paz-Roa, John Willmer Escobar, Miguel Ángel Ortiz-Barrios

“…The model identifies patterns associated with the occurrence or absence of emergency calls, using clustering techniques for demand spatial splitting and then training an XGBoost model on the multivariate time series. The model uses signal analysis to extract valuable insights from time-series data, enhancing understanding of temporal patterns, while statistical features enhance predictive capabilities. …”
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Datasets for quantifying association between short-term exposure to maximum temperature and heatstroke-related ambulance dispatches in Japan: A time-stratified case-crossover desig... by Keita Wagatsuma

“…These datasets are well-suited for time-series regression analyses to estimate location-specific maximum temperature-HSAD associations in Japan. …”
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