Evaluating the impact of internal control systems on corporate performance of Ghanaian banks: The moderating role of information technology by Samuel Asante Gyamerah, Gifty Laar, Clement Asare

“…It also highlights the significance of monitoring activities in detecting and preventing fraudulent activities, errors, and inefficiencies. …”
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Real-Time Threat Mitigation in Financial IT Infrastructures Using Quantum Computing by Jean Marie Vianney Sindayigaya

“…This research evaluates the application of quantum computing algorithms, specifically Continuous-Variable Quantum Neural Networks (CV-QNN), Crystals-Kyber cryptographic methods, and Quantum-enhanced Monte Carlo simulations, within financial IT infrastructures. Our findings indicate that quantum algorithms substantially enhance threat detection accuracy, reduce response latency, and ensure secure communication against quantum-powered threats. …”
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Diffusion models enable zero-shot pose estimation for lower-limb prosthetic users. by Tianxun Zhou, Muhammad Nur Shahril Iskandar, Keng-Hwee Chiam

“…Quantitative gait analysis is important for assessing and rehabilitating lower-limb prosthetic users, but markerless motion capture has been challenging for this population due to the difficulty in detecting prosthetic joints using models trained primarily on able-bodied individuals. …”
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Children's Misconceptions: Opinions and Practices of Preschool Teachers by Rabia Nimet Gülmez, Ensar Yıldız

“…The majority of teachers evaluated children's readiness to detect their misconceptions. Children made misconceptions by mixing similar concepts, making semantic errors, making linguistic problems and making generalizations. …”
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Study on soil moisture estimation using a three-frequency combination of observations integrated with robust estimation and machine learning by Yintao Liu, Chao Ren, Hongjuan Shao

“…By applying minimum covariance determinant (MCD) and moving average filter (MAF), the study effectively detects and corrects outliers in delay phases, enhancing the quality of the data. …”
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Gait-based Parkinson’s disease diagnosis and severity classification using force sensors and machine learning by Navita, Pooja Mittal, Yogesh Kumar Sharma, Anjani Kumar Rai, Sarita Simaiya, Umesh Kumar Lilhore, Vimal Kumar

“…The crucial evaluation metrics used for evaluating model performance include accuracy, mean absolute error, and root mean square error. The findings indicate that the suggested model significantly surpasses current methodologies. …”
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Sub-ppb H₂S Sensing with Screen-Printed Porous ZnO/SnO₂ Nanocomposite by Mehdi Akbari-Saatlu, Masoumeh Heidari, Claes Mattsson, Renyun Zhang, Göran Thungström

“…Among these, the SnO₂/ZnO sensor with a composition-weight ratio of 3:4 demonstrated the highest response at 325 °C, achieving a low detection limit of 0.14 ppb. The sensor was evaluated for detecting H₂S concentrations ranging from 5 ppb to 500 ppb under dry, humid air and N₂ conditions. …”
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Advanced Hybrid Brain Tumor Segmentation in MRI: Elephant Herding Optimization Combined with Entropy-Guided Fuzzy Clustering by Baiju Karun, Arunprasath Thiyagarajan, Pallikonda Rajasekaran Murugan, Natarajan Jeyaprakash, Kottaimalai Ramaraj, Rakhee Makreri

“…By managing image noise and reducing computational demands, the EHO-EnFCM approach not only captures intricate tumor structures but also facilitates efficient image processing, making it suitable for real-time clinical applications. Overall, the findings reveal the potential of this hybrid approach to advance MRI-based tumor detection, offering a promising tool that enhances both accuracy and computational efficiency for medical imaging and diagnosis.…”
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The JCMT Legacy Release: SCUBA-2 850 μm Coadds and Catalogs by Sarah F. Graves, Jessica T. Dempsey, Graham S. Bell, David S. Berry, Iain M. Coulson, Malcolm J. Currie, Per Friberg, Tim Jenness, Doug Johnstone, Junhao Liu, Steven Mairs, Harriet A. L. Parsons, Harold Pena, Mark G. Rawlings, Holly S. Thomas, Jan G. A. Wouterloot

“…We then examined the accuracy of this calibration for our data set by calculating self-derived FCF values for our two most-used standard sources, finding a result within the expected errors but with a larger standard deviation of 9%. …”
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Provide a Solution Based on Teacher and Student Learning Algorithm to Reduce Regression Test Cases by Mahmood Deypir, Amirhossein Mohammadpour

“…The aim of selecting test items is to choose a subset that has the potential to detect errors due to changes within the software. …”
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Efficiency Analysis of Turkish Container Ports: SFA or DEA? by İsmail Yenilmez

“…Ports like MIP MERSİN and EVYAP demonstrated high efficiency in both methods, while discrepancies were detected in ports like MARDAŞ and ÇELEBİ BANDIRMA. …”
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Cephalic measures in normal pre-school children 3 to 7-years of age by A. J. Diament, F. W. Rodrigues

“…This index is useful in detecting changes in head shape mainly in cases of precocious cranioestenosis (Diament, 1968; Facure, 1972). …”
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Causal Inference for Spatial Constancy across Saccades. by Jeroen Atsma, Femke Maij, Mathieu Koppen, David E Irwin, W Pieter Medendorp

“…This process appears not to be flawless: during saccades, we often fail to detect whether visual objects remain stable or move, which is called saccadic suppression of displacement (SSD). …”
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Meta-Reinforcement Learning reconciles surprise, value, and control in the anterior cingulate cortex. by Tim Vriens, Eliana Vassena, Giovanni Pezzulo, Gianluca Baldassarre, Massimo Silvetti

“…., comparing expectations with outcomes, detecting errors, tracking surprise). A consensus on which theoretical perspective best explains dACC contribution to behaviour is still lacking, as two distinct sets of studies report dACC activation in tasks requiring surprise tracking for performance monitoring and cognitive control without involving surprise monitoring, respectively. …”
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Reducing soft tissue artefacts through projection of markers and microwave imaging: An exploratory study by Vignesh Radhakrishnan, Martin Robinson, Niccolo M. Fiorentino, Samadhan B. Patil, Adar Pelah

“…Abstract Soft tissue artefacts (STA) are widely considered the most critical source of error in skin-mounted marker-based biomechanics, negatively impacting the clinical usability of skin-mounted marker-based data. …”
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Identification and Correction for Sun Glint Contamination in Microwave Radiation Imager-Rainfall Mission Global Ocean Observations Onboard the FY-3G Satellite by Qiumeng Xue, Xuanyuan Yang, Qiang Zhang, Zhenxing Liu

“…Microwave radiometers are vital for global ocean observations, yet they are prone to errors from radio frequency interference, sun glint, and other contamination. …”
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Brain Imaging and Ultrastructural Studies of the Effect of Electroacupuncture on Improving Learning and Memory Impairments in the Focal Cerebral Isch-emia Rats by Ruhui LIN, Kunqiang YU, Xiaojie LI, Congkuai ZHAO, Chunyan LI

“…The learning and memory ability of the rats was evaluated by Morris water maze, the cerebral infarction volume was detected by the small animal MRI and TTC staining, the brain ultrastructure was observed by transmission electron microscopic (TEM).Results:The time finding the plat and the error rate significantly reduced in the EA group in comparison with that in the IC group, while the cerebral infarction volume significantly decreased and the brain ultrastructure(mitochondria, nuclear membrane, etc.)of the rats was improved significantly, which showed that there was a statistically significant difference between the groups(<italic>P</italic>&lt;0.05).Conclusion:Electroacupuncture at <italic>Baihui</italic> and <italic>Shenting</italic> could improve the ability of learning and memory after MCAO by reducing the cerebral infarction volume and protecting the brain ultrastructure in rats.…”
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A Multiparent Advanced Generation Inter-Cross to fine-map quantitative traits in Arabidopsis thaliana. by Paula X Kover, William Valdar, Joseph Trakalo, Nora Scarcelli, Ian M Ehrenreich, Michael D Purugganan, Caroline Durrant, Richard Mott

“…We show by simulation that QTL explaining 10% of the phenotypic variance will be detected in most situations with an average mapping error of about 300 kb, and that if the number of lines were doubled the mapping error would be under 200 kb. …”
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Disruptive colouration and perceptual grouping. by Irene Espinosa, Innes C Cuthill

“…This provides evidence for disruptive colouration interfering with higher-level feature integration in addition to previously demonstrated low-level effects involving contour detection. In addition, detection was impeded in treatments where targets were on or in close proximity to multiple background colour or tone boundaries. …”
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Relationship between ocular motility and motor skills by Carmen López de la Fuente, Eider Eider Bereau Iridoy, Paula Pardo Sofín, José Luis Cebrián Lafuente, Víctor Berdejo, Cristina Ruiz-Garros, María José López-de-la-Fuente

“…Hence, including evaluation of visual and motor proficiencies at school age would help to detect struggles in these crucial areas of development. …”
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