CEEMDAN-CatBoost-SATCN-based short-term load forecasting model considering time series decomposition and feature selection by Yunjia Wang, Zeya Zhang, Ning Pang, Zengjie Sun, Lixiong Xu

“…Focusing on the non-stationary and non-linear characteristics of load curves that could easily compromise the forecasting accuracy, this paper proposes a complete ensemble empirical mode decomposition with adaptive noise–CatBoost–self-attention mechanism-integrated temporal convolutional network (CEEMDAN-CatBoost-SATCN)-based short-term load forecasting method, integrating time series decomposition and feature selection. …”
Get full text

Prevalence of Antimicrobial Resistance in Bacterial Isolates from Dogs and Cats in a Veterinary Diagnostic Laboratory in Colombia from 2016–2019 by David A. Gómez-Beltrán, David Villar, Sara López-Osorio, Duncan Ferguson, Laura K. Monsalve, Jenny J. Chaparro-Gutiérrez

“…The susceptibility to antimicrobials of bacterial isolates from dogs (<i>n</i> = 1256) and cats (<i>n</i> = 94) was retrospectively evaluated in a veterinary diagnostic laboratory over a 4-year period (2016–2019). …”
Get full text

Solubility of sinensetin and isosinensetin from cat’s whiskers (orthosiphon stamineus) leaves in ethanol-assisted supercritical carbon dioxide extraction: experimental and modeling... by Abdul Aziz, Ahmad Hazim, Putra, Nicky Rahmana, Zaini, Ahmad Syahmi, Idham, Zuhaili, Ahmad, Muhammad Zulhilmi, Che Yunus, Mohd. Azizi

“…In the current study, the solubility of potent bioactive compounds from cat’s whiskers (Orthosiphon stamineus), viz. sinensetin (SIN) and isosinensetin (ISO), is measured in ethanol-assisted supercritical carbon dioxide (SC-CO2). …”

A mixed-methods approach utilising electronic health records to examine antimicrobial prescription surrounding gastrointestinal clinical presentations in dogs and cats by Ivo S. Fins, David A. Singleton, Alan D. Radford, Fernando Sánchez-Vizcaíno, Gina L. Pinchbeck

“…Systemically-administered antimicrobials occurred in 28.6% of canine (95% CI 26.9–30.3) and 22.4% of feline (95% CI 20.4–24.4) gastrointestinal consultations, with HPCIA prescription occurring more frequently in cats. Results of multivariable analysis showed the presence of non-haemorrhagic diarrhoea (canine Odds Ratio (OR) 2.1, 95% CI 1.9–2.3; feline OR 1.8, 95% CI 1.5–2.1), haemorrhagic diarrhoea (canine OR 4.2, 95% CI 3.8–4.7; feline OR 3.1, 95% CI 2.4–3.8), and moderate/severe presentations (canine OR 1.9, 95% CI 1.7–2.8; feline OR 2.0, 95% CI 1.7–2.5) were positively associated with receiving a systemically-administered antimicrobial. …”
Get full text

Well-being at work scale (WBWS): Gathering empirical evidence from different interpretation strategies by Laila Leite Carneiro, Antônio Virgílio Bittencourt Bastos

Get full text

Risk factors associated with inappropriate empirical antimicrobial treatment in bloodstream infections. A cohort study by Beatriz Dietl, Lucía Boix-Palop, Lucía Boix-Palop, Laura Gisbert, Aina Mateu, Gemma Garreta, Mariona Xercavins, Cristina Badía, María López-Sánchez, Josefa Pérez, Esther Calbo, Esther Calbo

Get full text

Cohering with the Crowd: How Audiences Shape the Quasi-Scientific Process of Entrepreneurship by Friis, Simon C.A.T.

Get full text
Get full text

The child and Adolescent Trauma Screen 2 (CATS-2) – validation of an instrument to measure DSM-5 and ICD-11 PTSD and complex PTSD in children and adolescents by Cedric Sachser, Lucy Berliner, Elizabeth Risch, Rita Rosner, Marianne S. Birkeland, Rebekka Eilers, Gertrud S. Hafstad, Elisa Pfeiffer, Paul L. Plener, Tine K. Jensen

“…Latent profile analyses revealed that ICD-11 CPTSD was empirically distinguishable from ICD-11 PTSD using the CATS-2. …”
Get full text

Evaluation of Empirical Equations and Machine Learning Models for Daily Reference Evapotranspiration Prediction Using Public Weather Forecasts by Yunfeng Liang, Dongpu Feng, Zhaojun Sun, Yongning Zhu

“…Based on public weather forecasts and daily observed meteorological data (2020–2021), the three empirical equations (PMT, PMF, and HS) and four machine learning models (MLP, XGBoost, LightGBM, and CatBoost) were compared in terms of their daily ET_o prediction performance. …”
Get full text

Digital marketing program design based on abnormal consumer behavior data classification and improved homomorphic encryption algorithm by Jun Cui, Hao Jiang, Zhendan Xu

“…The methodology entails employing GridSearch to harmonize and store the leaf nodes acquired post-training of the CatBoost model. These leaf node data subsequently serve as inputs for the radial basis function (RBF) layer, facilitating the mapping of leaf nodes into the hidden layer space. …”
Get full text

Parinaud’s Oculoglandular Syndrome: A Case in an Adult with Flea-Borne Typhus and a Review by M. Kevin Dixon, Christopher L. Dayton, Gregory M. Anstead

“…To derive a diagnostic and empiric therapeutic approach to POGS, we reviewed the cases of POGS from its various causes since 1976 to discern epidemiologic clues and determine successful diagnostic techniques and therapies; we found multiple cases due to cat scratch disease (CSD; due to <i>Bartonella henselae</i>) (twelve), tularemia (ten), sporotrichosis (three), <i>Rickettsia conorii</i> (three), <i>R. typhi/felis</i> (two), and herpes simplex virus (two) and single cases due to tuberculosis, paracoccidioidomycosis, <i>Yersinia enterocolitica</i>, <i>Pasteurella multocida</i>, <i>Chlamydia trachomatis</i>, Epstein–Barr virus, and <i>Nocardia brasiliensis</i>. …”
Get full text

Global and local magnitude and spatial pattern of uncertainty from geographically adaptive empirical and machine learning satellite-derived bathymetry models by Kim Lowell, Yuri Rzhanov

“…The model types examined were a commonly used quasi-empirical linear regression model and a decision tree-based Categorical Boosting (CatBoost) machine learning (ML) model. …”
Get full text

Parasite spread at the domestic animal - wildlife interface: anthropogenic habitat use, phylogeny and body mass drive risk of cat and dog flea (Ctenocephalides spp.) infestation in... by Nicholas J. Clark, Jennifer M. Seddon, Jan Šlapeta, Konstans Wells

“…Conclusions Our empirical evidence shows that cat fleas are incredibly host-generalist, likely exhibiting a host range that is among the broadest of all ectoparasites. …”
Get full text

Early Detection of Stroke for Ensuring Health and Well-Being Based on Categorical Gradient Boosting Machine by Isaac Kofi Nti, Owusu Nyarko-Boateng, Justice Aning, Godfred Kusi Fosu, Henrietta Adjei Pokuaa, Frimpong Kyeremeh

Get full text

3rd ICTs and Society Meeting; Paper Session - Theorizing the Internet; Paper 4: A Methodological Reflection on Converging Technologies and Their Relevance to Informa-tion Ethics by Pak-Hang Wong

Get full text

RESTRICŢIONAREA ADMINISTRATIVĂ A ACTIVITĂŢILOR COMERCIALE DIN BASARABIA ÎN PERIOADELE DE RĂZBOI ŞI EPIDEMII (1806-1856) by Andrei EMILCIUC

Get full text

Pricing Multi-Event-Triggered Catastrophe Bonds Based on a Copula–POT Model by Yifan Tang, Conghua Wen, Chengxiu Ling, Yuqing Zhang

“…To illustrate our theoretical pricing framework, we conduct an empirical analysis of pricing a three-event rainstorm CAT bond based on the resulting losses due to rainstorms in China during 2006–2020. …”
Get full text

Person-centered care assessment tool with a focus on quality healthcare: a systematic review of psychometric properties by Lluna Maria Bru-Luna, Manuel Martí-Vilar, César Merino-Soto, José Livia-Segovia, Juan Garduño-Espinosa, Filiberto Toledano-Toledano

“…The Person-Centered Care Assessment Tool (P-CAT) is one of the shortest and simplest tools currently available for measuring PCC. …”
Get full text

Wanna See My Dog Pic? A Comparative Observational Study of the Presentation of Animals on Online Dating Profiles in Vienna and Tokyo by Christian Dürnberger, Svenja Springer

“…Users were significantly more likely to show cats in Tokyo (35.8%) than they were in Vienna (18.0%). …”
Get full text

EMD-Based Noninvasive Blood Glucose Estimation from PPG Signals Using Machine Learning Algorithms by Shama Satter, Mrinmoy Sarker Turja, Tae-Ho Kwon, Ki-Doo Kim

“…Among the four machine learning algorithms considered in this study, CatBoost consistently outperformed XGBoost, LightGBM, and random forest across a wide number of features. …”
Get full text