Translation, cross-cultural adaptation and validation of the Persian version of the physical workload questionnaire (PWQ) by Mehrnaz Noshadha, Hamid Reza Mokhtarinia, Mohsen Vahedi, Markus Melloh

“…Various psychometric properties were assessed, including face validity through interviews, construct validity via hypothesis testing and factor analysis, content validity using the Content Validity Index (CVI), convergent validity through Pearson’s correlation with the Spine Functional Index (SFI), internal consistency using Cronbach’s alpha, and test-retest reliability assessed through the intra-class correlation coefficient (ICC) and standard measurement error over a 10-day period. Results Good internal consistency (α = 0.89) and high test-retest reliability (ICC = 0.90, 95% confidence interval: 0.81–0.94) were obtained. …”
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Large-Scale Compatible Roll-to-Roll Coating of Paper Electrodes and Their Compatibility as Lithium-Ion Battery Anodes by Nicklas Blomquist, Manisha Phadatare, Rohan Patil, Renyun Zhang, Noah Leuschen, Magnus Hummelgård

“…., 40% of graphite’s theoretical performance, and a good long-term stability of battery capacity over extended cycling. …”
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CAT-RFE: ensemble detection framework for click fraud by Yixiang LU, Guanggang GENG, Zhiwei YAN, Xiaomin ZHU, Xinchang ZHANG

“…Click fraud is one of the most common methods of cybercrime in recent years, and the Internet advertising industry suffers huge losses every year because of click fraud.In order to effectively detect fraudulent clicks within massive clicks, a variety of features that fully combine the relationship between advertising clicks and time attributes were constructed.Besides, an ensemble learning framework for click fraud detection was proposed, namely CAT-RFE ensemble learning framework.The CAT-RFE ensemble learning framework consisted of three parts: base classifier, recursive feature elimination (RFE) and voting ensemble learning.Among them, the gradient boosting model suitable for category features-CatBoost was used as the base classifier.RFE was a feature selection method based on greedy strategy, which can select a better feature combination from multiple sets of features.Voting ensemble learning was a learning method that combined the results of multiple base classifiers by voting.The framework obtained multiple sets of optimal feature combinations in the feature space through CatBoost and RFE, and then integrated the training results under these feature combinations through voting to obtain integrated click fraud detection results.The framework adopted the same base classifier and ensemble learning method, which not only overcame the problem of unsatisfactory integrated results due to the mutual constraints of different classifiers, but also overcame the tendency of RFE to fall into a local optimal solution when selecting features, so that it had better detection ability.The performance evaluation and comparative experimental results on the actual Internet click fraud dataset show that the click fraud detection ability of the CAT-RFE ensemble learning framework exceeds that of the CatBoost method, the combined method of CatBoost and RFE, and other machine learning methods, proving that the framework has good competitiveness.The proposed framework provides a feasible solution for Internet advertising click fraud detection.…”
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Stock Market Prediction Based Multi-Attribute Decision Making Model Using Picture Fuzzy $${\hat{Z}}$$ Z ^ -Information by Shahzaib Ashraf, Amna Khalid, Bushra Batool, Mehdi Tlija, Chiranjibe Jana, Dragan Pamucar

“…Abstract As demonstrated in the section above, the stock market place is a dynamic factor, which makes it possible for traders and investors to make good decisions based on the information acquired through accurate prediction. …”
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Cross-cultural adaptation: South African Gestational Diabetes Mellitus Knowledge Questionnaire by Lorisha Manas, Tawanda Chivese, Ankia Coetzee, Magda Conradie, Linzette D. Morris

“…Results: The three SA-GDMKQ versions demonstrated good face and content validity. For internal consistency, Cronbach’s alpha values were 0.534 for the Afrikaans version, 0.434 for the English version and 0.621 for the isiXhosa version. …”
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Optimizing The Financial Domain With Robotic Process Automation: Invoice Data Extraction by Andre Suryaningprang, Yoyo Sudaryo, Riyandi Nur Sumawidjaja, Andhika Mochamad Siddiq, Dedi Supiyadi

“…Conclusion: According to the study's findings it was concluded that RPA model has a good performance and has already met the side's expectations in terms of speed. …”
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Occupational adjustments and work ability of young adult cancer survivors: results from the AYA-Leipzig study by Hannah Brock, Katharina Schröter, Michael Friedrich, Annekathrin Sender, Diana Richter, Anja Mehnert-Theuerkauf, Kristina Geue, Katja Leuteritz

“…Mean work ability was M = 36.2 (SD = 6.9), 11.4% reported poor, 34.7% moderate, 41.4% good and 12.5% excellent work ability. Following treatment, 82.3% used occupational adjustments, most frequently: flexible working hours, gradual reintegration and reduced working hours. …”
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Effective Dose Estimation in Computed Tomography by Machine Learning by Matteo Ferrante, Paolo De Marco, Osvaldo Rampado, Laura Gianusso, Daniela Origgi

“…Conclusions: Our work demonstrated that machine learning models trained with data calculated by a dose-tracking software can provide good estimates of the effective dose just from patient and scanner parameters, without the need for a Monte Carlo approach.…”
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Artificial Neural Network for the Clustering of Vibration Signals for Condition Monitoring of Rotating Machines by Eyere Emagbetere, Samson Uwatse, Omonzokpia Goerge Okoidigun

“…Also, there were 2 clusters with machines having good working conditions with negative mean values, while one cluster had machines that were moderately okay with mean values close to 0. …”
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NuFit-6.0: updated global analysis of three-flavor neutrino oscillations by Ivan Esteban, M. C. Gonzalez-Garcia, Michele Maltoni, Ivan Martinez-Soler, João Paulo Pinheiro, Thomas Schwetz

“…Altogether, the global fit including long-baseline, reactor and IceCube atmospheric data results into an almost equally good fit for both orderings. Only when the χ 2 table for atmospheric neutrino data from Super-Kamiokande is added to our χ 2, the global fit prefers normal ordering with ∆χ 2 = 6.1. …”
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‘Photodynamic therapy light’: An enhanced treatment protocol for actinic keratoses with minimal pain and optimal clinical outcome by combining laser-assisted low irradiance PDT wit... by Martin T. Braun, Kelly Del Tredici, Anna Wölling, Luitgard Wiest

“…Results: Between March and November 2019, we successfully treated 152 cases using the enhanced ‘PDT light’ procedure, with 137 cases achieving at follow-up 1 (on average after 8.14 months) good-to-excellent clearance rates (CLA and CLB together 90 %) and minimal adverse effects. …”
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Computerized QT and QTc Measurements From Bedside ICU Monitors Are Similar to Those Derived From a Standard 12‐Lead ECG by Arthur Murray, Karolina Ho, Thomas J. Hoffmann, Gopika K. Ganesh, Shelvin Prasad, Sarah Berger, Cass Sandoval, Amy Larsen, Hildy Schell‐Chaple, Michele M. Pelter

“…Similar non‐statistical differences were observed for QTc (β = −3.20, 95% CI = 5.50 to −11.05; p = 0.44; LOA = −67.43 to 61.03). Conclusion There was good agreement for both QT and QTc measurements between the two methods. …”
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Spherical implantable collamer lens with postoperative adjunctive LASIK in the treatment of high compound hyperopic astigmatism by Daniel Q. Li, Mathieu Gauvin, Guillermo Rocha, Pierre Trottier, Louis Racine, Avi Wallerstein

“…Conclusion Spherical ICL with postoperative adjunctive LASIK was safe with good early visual and refractive outcomes. The combined modality is a promising approach to treating high compound hyperopic astigmatism where toric hyperopic ICL is not available. …”
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Determination of Natural Capsaicin, Dihydrocapsaicin and Synthetic Capsaicin in Hot Pepper and Its Products by QuEChERS Combined with HPLC by CHENG Luyao, WEN Yajun, SHI Wenting, ZHOU Ziying, MA Liyan

“…The results showed that natural capsaicin, dihydrocapsaicin and synthetic capsaicin had a good linear relationship in the range of 0.20–100 mg/L, with determination coefficients (R2) greater than 0.999. …”
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COVID-19 and Obesity: An Epidemiologic Analysis of the Brazilian Data by Diego Assis Gonçalves, Victória Ribeiro, Ana Gualberto, Fernanda Peres, Michaela Luconi, Jacy Gameiro

“…The frequencies of categorical variables have been analyzed by chi-square tests of independence or goodness-of-fit. Among the number of deaths, 74% of patients were 60 years of age or older. …”
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How to Reliably Measure Stroke Volume Index in Pulmonary Arterial Hypertension: A Comparison of Thermodilution, Direct and Indirect Fick, and Cardiac MRI by Andrea Baccelli, Deepa Gopalan, Rachel J. Davies, Gulammehdi Haji, Wendy Gin-Sing, Luke S. Howard, Francesco Lo Giudice

“…Low cardiac index and severe tricuspid regurgitation (TR) were associated with a greater bias between TD and DF. CMR-SVI showed good accuracy and precision even in patients with severe TR, compared to DF. …”
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The Arabic adaptation and validation of the Partners in Health scale among patients with chronic diseases by Hayfa Almutary

“…The results showed that the PIH-Arv scale and the SEMCD-6 scale were moderately positively related (r = 0.416, P < 0.001), which is a good sign of convergent validity. Conclusion: The Arabic version (PIH-Arv) of PIH is both valid and reliable. …”
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Validating a clinically based MS-MLPA threshold through comparison with Sanger sequencing in glioblastoma patients by Halka Lhotska, Karolina Janeckova, Hana Cechova, Jaromir Macoun, Tatiana Aghova, Libuse Lizcova, Karla Svobodova, Lucie Hodanova, Dora Konecna, Jiri Soukup, Filip Kramar, David Netuka, Zuzana Zemanova

“…Reduced expression of the MGMT gene (10q26.3), influenced primarily by the methylation of two differentially methylated regions (DMR1 and DMR2), is associated with a good response to temozolomide treatment. However, suitable methods for detecting the methylation of the MGMT gene promoter and setting appropriate cutoff values are debated. …”
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Le prédateur inconnu : engagement et distanciation dans les prédations marines by Estienne Rodary

“…Because they are threatened and menacing, predators crystallize the politics of nature at its most demanding for good life on Earth. The first victims of Neolithic and modern dynamics of ecumene expansion, they now seem to be regaining a legitimate place in the wild part of the world that ecology is calling for (Maris, 2018). …”
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Fuzzy entropy type II method for optimizing clean and renewable solar energy by M. Ramli, M. Mardlijah, M. Ikhwan, K. Umam

“…The modified system experiences a slight delay towards the stable point because the fuzzy entropy method reduces the dominance of set point positions in the system.CONCLUSION: The modified fuzzy set is good at controlling the solar panel driving motor based on the output voltage value. …”
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