The impact of earnings management on perceived quality of earnings: the moderating role of ESG by Rahayu Lestari, Dewi Refianingrum Muthmainnah

“…This study uses two-step estimator of GMM with robust standard errors. Findings – We find that earnings management is viewed as an action that increases the informativeness value, thereby increasing investor reactions to earnings announcements. …”
Get full text

Evaluation of German-Slovak AI Translation of Stock Market News) by Filip Kalaš

“…The analysis combines error rate calculations with qualitative assessments, offering a comprehensive evaluation of the tools’ capabilities. …”
Get full text

Application of Machine Learning for Academic Outcome Prediction: A Methodological Comparative Study by Md. Wira Putra Dananjaya, Putu Gita Pujayanti

“…The models were evaluated using Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and R-squared (R2) metrics. …”
Get full text

Analysis of research trends on economic growth and environmental degradation: a bibliometric study by Manuel Humberto Vásquez Coronado, Carlos Javier Medina Valderrama, Alejandro Valencia-Arias, Humberto Iván Morales Huamán, Jackeline Valencia, Sebastián Cardona-Acevedo

“…The language is formal and free from grammatical errors, spelling mistakes, and punctuation errors. …”
Get full text

Host Extinction Dynamics in a Simple Parasite-Host Interaction Model by Tzy-Wei Hwang, Yang Kuang

“…This model reveals and corrects an error insimilar models studied recently by various authors. …”
Get full text

”My AI is Lying to Me”: User-reported LLM hallucinations in AI mobile apps reviews by Rhodes Massenon, Ishaya Gambo, Javed Ali Khan, Christopher Agbonkhese, Ayed Alwadain

“…Abstract Large Language Models (LLMs) are increasingly integrated into AI-powered mobile applications, offering novel functionalities but also introducing the risk of “hallucinations” generating plausible yet incorrect or nonsensical information. These AI errors can significantly degrade user experience and erode trust. …”
Get full text

A novel model for malaria prediction based on ensemble algorithms. by Mengyang Wang, Hui Wang, Jiao Wang, Hongwei Liu, Rui Lu, Tongqing Duan, Xiaowen Gong, Siyuan Feng, Yuanyuan Liu, Zhuang Cui, Changping Li, Jun Ma

“…<h4>Results</h4>The root mean square errors (RMSEs) of the four sub-models were 13.176, 14.543, 9.571 and 7.208; the mean absolute scaled errors (MASEs) were 0.469, 0.472, 0.296 and 0.266 and the mean absolute deviation (MAD) were 6.403, 7.658, 5.871 and 5.691. …”
Get full text

Blockchain-driven digital transformation in the housing industry by Anniina Saari, Seppo Junnila, Jussi Vimpari

“…While blockchain can spark transformation, maintaining momentum amid evolving market and regulatory developments may require more than blockchain alone can offer. Practical implications – Blockchain can drive early-stage DT even in traditional industries like real estate, addressing issues like intermediary reliance, manual processes, inefficiencies and errors. …”
Get full text

Patent Activity of Countries and Sectors in Graphene-Based Technologies by Piotr Nawrocki

“…Issues may arise from classification errors, inconsistencies in name standardization, transcription errors, and data incompleteness, all of which may affect the accuracy of the analysis results. …”
Get full text

A comparative analysis of L-moments, maximum likelihood, and maximum product of spacing methods for the four-parameter kappa distribution in extreme value analysis by Muhammad Shafeeq ul Rehman Khan, Zamir Hussain, Sadaf Sher, Muhammad Amjad, Faisal Baig, Ishfaq Ahmad, Hamd Ullah

“…The accuracy of the estimates has been evaluated using root mean square error (RMSE) and bias. The paper also includes an analysis of the effect of the estimation method on the estimated quantiles considering a real-life example of annual maximum peak flows and the Generalized Normal Distribution as the error distribution. …”
Get full text

Multilevel Monte Carlo methods for ensemble variational data assimilation by M. Destouches, M. Destouches, M. Destouches, P. Mycek, P. Mycek, S. Gürol, S. Gürol, A. T. Weaver, A. T. Weaver, S. Gratton, E. Simon

“…<p>Ensemble variational data assimilation relies on ensembles of forecasts to estimate the background error covariance matrix <span class="inline-formula"><strong>B</strong></span>. …”
Get full text

INTERVENTIONISM: AN ECONOMIC ANALYSIS OF PRICELESS RESOURCE ALLOCATION by Matei Alexandru APAVALOAEI

“…This more general re-statement of the Misesian theory of interventionism from the point of view of property economics has the benefit of covering all possible policy measures while deducing the implications from an a priori perspective. From a methodological standpoint, this approach provides a more realist account of the implications of government involvement in the workings of the market as it does not require any unrealistic assumptions like: perfect information, equilibrium and dead weight loss comparison, or postulate a certain type of behaviour - benevolence, narrow self-interest or ideological error.…”
Get full text

Penetrating Barriers: Microwave-Based Remote Sensing and Reconstruction of Audio Signals Through Walls by Kobi Aflalo, Zeev Zalevsky

“…This study investigate the remote detection and reconstruction of audio signals using Radio Frequency (RF) emissions, focusing on the implications for eavesdropping detection and prevention. …”
Get full text

ESTIMATION OF THE STANDARD GROWTH REGION OF NATIVE TURKEYS (Meleagris gallopavo L.) CALCULATED USING THE RICHARDS EQUATION by Marco Antonio Camacho-Escobar, Sergio Machorro-Sámano, Serafín Jacobo López-Garrido, Narciso Ysac Ávila-Serrano, Mónica Marcela Galicia-Jiménez, Jorge Alberto Cruz-Torres, Eliud Flores-Morales

“…Richards' model includes four parameters, allowing a better fit to experimental data, as evidenced by a high coefficient of determination and a low standard error of estimation. However, it does not always converge and some of its parameters are difficult to interpret biologically. …”
Get full text

Improving Investment Forecasting: A Comparative Analysis of Machine Learning Models as Key GDP Indicators by Cheng-Hong Yang, Tshimologo Molefyane, Borcy Lee, Ting-Jen Hsueh, Yu-da Lin

“…Key performance metrics&#x2014;Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and Mean Absolute Percentage Error (MAPE)&#x2014;demonstrated that the GRU model achieved superior accuracy. …”
Get full text

Fitness of Multi-Resolution Remotely Sensed Data for Cadastral Mapping in Ekiti State, Nigeria by Israel Oluwaseun Taiwo, Matthew Olomolatan Ibitoye, Sunday Olukayode Oladejo, Mila Koeva

“…Using the 0.05 m orthomosaic as a reference, the Horizontal Radial Root Mean Square Error (RMSEr) and Normalized Parcel Area Error (NPAE) were computed. …”
Get full text

Geopolitical Risk and Military Spending in Poland by Grzegorz Waszkiewicz

“…Research Design & Methods: Autoregressive distributed lags, error correction, and Granger causality test were used. …”
Get full text

Population-level impact of COVID-19 on thyroid function tests: Results from a repeated cross-sectional study by Gabriel Berkebile, Françoise Barbé, Catherine Malaplate, Lauriane Le Collen, Jean-Louis Guéant, Marc Klein, Abderrahim Oussalah

Get full text

Gaze interaction enhances problem solving: Effects of dwell-time based, gaze-augmented, and mouse interaction on problem-solving strategies and user experience by Roman Bednarik, Tersia Gowases, Markku Tukiainen

“…Users with gaze-augmented interaction outperformed the other groups on several problem-solving measures, committed fewer errors, were more immersed, and had a better user experience. …”
Get full text

An Investigation of Tone Perception and Production in German Learners of Mandarin by Hongwei DING, Rudiger HOFFMANN, Oliver JOKISCH

“…This study investigates the possible errors related to Mandarin tone perception and production by German speakers. …”
Get full text