Zmiany poziomu rozwoju obszarów wiejskich województwa podlaskiego w latach 2002 i 2010 by Iwona Pomianek

“…Część gmin o wysokim udziale terenów przyrodniczo chronionych, m.in. położonych w obszarze Natura 2000 (Puszcza Białowieska, Dolina Dolnej Narwi i Puszcza Augustowska), dobrze wykorzystywało walory przyrodnicze jako zachętę dla nowych mieszkańców, turystów oraz proekologicznych przedsiębiorców.…”
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Inflation in Orange Juice Prices and Consumer Responses by Sungeun Yoon, Marisa Zansler, Lisa House

“… This publication examines the recent inflation in orange juice prices and consumer responses using Nielsen scanner and Orange Juice tracker datasets. Orange juice prices experienced high inflation, peaking at 14.1% in January 2023, leading to decreased sales in both volume and dollars. …”
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Protocol for functional screening of CFTR-targeted genetic therapies in patient-derived organoids using DETECTOR deep-learning-based analysis by Mattijs Bulcaen, Ronald B. Liu, Kasper Gryspeert, Sam Thierie, Anabela S. Ramalho, François Vermeulen, Xavier Casadevall I Solvas, Marianne S. Carlon

“…We also detail procedures for applying pre-trained models and training custom models on new customized datasets.For complete details on the use and execution of this protocol, refer to Bulcaen et al.1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.…”
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Identifying Smart Strategies for Effective Agriculture Solution Using Data Mining Techniques by Anthony Jesus Bustamante Suarez, Barjinder Singh, Firas Husham Almukhtar, Rajnish Kler, Sonali Vyas, Karthikeyan Kaliyaperumal

“…Use of the CART and random forest algorithms is a data mining technique that may be used to various datasets. It is possible to recognise the effects of various climatic and other factors on agricultural output using the MATLAB software and data mining methods, and a potential strategy is highlighted.…”
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Feature extraction using sparse component decomposition for face classification by Hamid Reza Shahdoosti

“…To evaluate the accuracy rate of the proposed method, three datasets are used. The results show that the proposed method outperforms compared with some state of the art methods.…”
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A Review of Causal Methods for High-Dimensional Data by Zewude A. Berkessa, Esa Laara, Patrik Waldmann

“…Causal learning from observational data is an important scientific endeavor, but the statistical and computational challenges posed by the high-dimensionality of many modern datasets are substantial. Peculiarities such as spurious correlations, endogeneity, noise accumulation, and deflated empirical covariance estimation complicate analysis. …”
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Bayesian and non-bayesian estimation of Marshall-Olkin XLindley distribution in presence of censoring, cure fraction, and application on medical data by Hleil Alrweili, Eid Sadun Alotaibi

“…We employ three medical datasets to show the MOXL distribution's adaptability. …”
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Recent conventional and exotic charmonia results from LHCb by Kang Youen

“…The bound quarkonium states undergo dissociation and recombination in PbPb collisions, where they can also experience the initial and final state effects such as shadowing and co-mover breakup. With the large datasets of pp and pPb collisions, and excellent vertexing capabilities allowing separation of the prompt and b-decay components, LHCb performs precise measurements of J/ψ, ψ(2S ) and, for the first time at the LHC, χc production and modification in small collision systems. …”
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Bounded Odd Inverse Pareto Exponential Distribution: Properties, Estimation, and Regression by Suleman Nasiru, Abdul Ghaniyyu Abubakari, Irene Dekomwine Angbing

“…Applications of the distribution were illustrated by analyzing two datasets and its fit compared to that of other distributions defined on the unit interval. …”
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Hybrid Intrusion Detection System for DDoS Attacks by Özge Cepheli, Saliha Büyükçorak, Güneş Karabulut Kurt

“…We apply two distinct datasets to our proposed system in order to test the detection performance of H-IDS and conclude that the proposed hybrid system gives better results than the systems based on nonhybrid detection.…”
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Multi-sensor image fusion based on contrast and directional features optimization by Haiyan Jin, Meng Zhang, Zhaolin Xiao, Yaning Li

“…The experiments are conducted on multiple datasets with subjective and objective comparisons, in which the qualitative and quantitative analyses indicate the validity of the proposed method.…”
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Prediction of G Protein-Coupled Receptors with SVM-Prot Features and Random Forest by Zhijun Liao, Ying Ju, Quan Zou

“…MEME suite was used to detect the most significant 10 conserved motifs of human GPCRs. In the testing datasets, the average accuracy was 91.61%, and the average AUC was 0.9282. …”
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Impact of periprocedural factors on revascularization success and good clinical outcomes in anterior circulation stroke patients treated with mechanical thrombectomy by M. Kurminas, A. Berūkštis, N. Misonis, A. E. Tamošiūnas, D. Jatužis

“…The added value of intravenous thrombolysis and balloon-occlusive catheter use for the success of the MTE procedure and good clinical outcomes was not established. …”
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On identifying name equivalences in digital libraries. Name equivalence, Surname matching, Author identification, Databases by Dror G. Feitelson

“…We therefore conduct an experimental analysis using two real datasets to find which approaches actually work well in practice. …”
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A Hybrid Model of Extreme Learning Machine Based on Bat and Cuckoo Search Algorithm for Regression and Multiclass Classification by Qinwei Fan, Tongke Fan

“…We test the numerical experimental performance of function approximation and classification problems under a few benchmark datasets; simulation results show that the proposed algorithm can obtain significantly better prediction accuracy compared to similar algorithms.…”
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Implementation of Missing Data Imputation Schemes in Face Recognition Algorithm under Partial Occlusion by Justice Kwame Appati, Kofi Sarpong Adu-Manu, Ebenezer Owusu

“…The experiment was done on two datasets: Jaffe and MIT-CBCL, with immediate confirmation of the adverse effect of occlusion on the facial algorithm without implementing the imputation scheme. …”
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Lightweight and Scalable Intrusion Trace Classification Using Interelement Dependency Models Suitable for Wireless Sensor Network Environment by Dae-Ki Kang

“…Experimental results on a set of practical benchmark datasets show that our method is scalable up to 20-gram with consistent accuracy comparable to SVMs.…”
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IDS Transposer: A Users Guide by Emily Klancher Merchant, George Alter

“…The IDS Transposer is a software tool that automates this process for source data in any format, allowing database administrators to specify how their datasets are to be represented in IDS. This article describes how the IDS Transposer works, first by going through an example step-bystep, and then by discussing each part of the process and potential options and exceptions in detail.…”
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Sequential recommendation based on contrast enhanced time-aware self-attention mechanism by YU Yang, WANG Ruiqin

“…Experimental studies conducted on six datasets of different fields and scales show that CTiSASRec outperforms state-of-the-art sequential recommendation models.…”
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Pedestrian Reidentification Algorithm Based on Local Feature Fusion Mechanism by Xiaobing Liu

“…Experimental results show that the accuracy of the proposed algorithm is superior to that of other comparison algorithms on the datasets of Market1501, Duke, and CUHK03. It is proved that the proposed algorithm has a good pedestrian reidentification effect.…”
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