274 research outputs found

    Retraction Note: Refining Parkinson’s neurological disorder identification through deep transfer learning (Neural Computing and Applications, (2020), 32, 3, (839-854), 10.1007/s00521-019-04069-0)

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    The Editor-in-Chief and the publisher have retracted this article. The article was submitted to be part of a guest-edited issue. An investigation by the publisher found a number of articles, including this one, with a number of concerns, including but not limited to compromised editorial handling and peer review process, inappropriate or irrelevant references or not being in scope of the journal or guest-edited issue. Based on the investigation's findings the Editor-in-Chief therefore no longer has confidence in the results and conclusions of this article. The authors Imran Razzak and Saeeda Naz disagree with this retraction. The author Muhammad Imran has not responded to correspondence regarding this retraction. The Publisher has not been able to obtain a current email address for the authors Amina Naseer, Monail Rani, and Guandong Xu

    sj-docx-1-gph-10.1177_2333794X231214090 – Supplemental material for Parental Knowledge, Attitude and Practices Toward Dental Sealants as Preventive Strategy for Dental Caries in Children: A Cross Sectional Study

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    Supplemental material, sj-docx-1-gph-10.1177_2333794X231214090 for Parental Knowledge, Attitude and Practices Toward Dental Sealants as Preventive Strategy for Dental Caries in Children: A Cross Sectional Study by Ayman Iftikhar, Abhishek Lal, Aimen Imran, Mariam Wasif, Naseer Ahmed and Artak Heboyan in Global Pediatric Health</p

    Capitalizing on risk: how financial flexibility, investment efficiency and institutional ownership shape risk-taking dynamics

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    In this study, we test the influence of financial flexibility [FF] on corporate risk-taking [RT], a crucial aspect of firm strategy and performance. In the volatile financial landscape of emerging markets like China, understanding how FF affects risk behavior is essential. Using data from 3571 Chinese listed firms spanning 2014 to 2023, we address this gap by exploring how FF impacts RT and the moderating roles of investment efficiency [INE] and institutional ownership [INO]. Our study employs dynamic panel generalized method of moments [GMM] and a new bias-corrected method of moments to offer robust insights. We find a significant positive correlation between FF and RT. Additionally, IE and INO significantly moderate this relationship, with RT notably amplified when FF exceeds industry- and year-adjusted averages. Interestingly, during exceptional periods, such as the COVID-19 crisis, the impact of FF on RT becomes insignificant. This study offers novel insights into the role of FF, IO and INE in risk management and provides valuable policy recommendations for stakeholders navigating high-risk investments.</p

    Signal Processing Using Non-invasive Physiological Sensors

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    Non-invasive biomedical sensors for monitoring physiological parameters from the human body for potential future therapies and healthcare solutions. Today, a critical factor in providing a cost-effective healthcare system is improving patients' quality of life and mobility, which can be achieved by developing non-invasive sensor systems, which can then be deployed in point of care, used at home or integrated into wearable devices for long-term data collection. Another factor that plays an integral part in a cost-effective healthcare system is the signal processing of the data recorded with non-invasive biomedical sensors. In this book, we aimed to attract researchers who are interested in the application of signal processing methods to different biomedical signals, such as an electroencephalogram (EEG), electromyogram (EMG), functional near-infrared spectroscopy (fNIRS), electrocardiogram (ECG), galvanic skin response, pulse oximetry, photoplethysmogram (PPG), etc. We encouraged new signal processing methods or the use of existing signal processing methods for its novel application in physiological signals to help healthcare providers make better decisions

    The Study of Fixed Point Theory for Various Multivalued Non-Self

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    KARAPINAR, ERDAL/0000-0002-6798-3254; Shahzad, Naseer/0000-0001-7155-5917The basic motivation of this paper is to extend, generalize, and improve several fundamental results on the existence (and uniqueness) of coincidence points and fixed points for well-known maps in the literature such as Kannan type, Chatterjea type, Mizoguchi-Takahashi type, Berinde-Berinde type, Du type, and other types from the class of self-maps to the class of non-self-maps in the framework of the metric fixed point theory. We establish some fixed/coincidence point theorems for multivalued non-self-maps in the context of complete metric spaces.National Science Council of the Republic of China [NSC 101-2115-M-017-001]The first author was supported partially by grant no. NSC 101-2115-M-017-001 of the National Science Council of the Republic of China

    Spectroscopic (FT-IR, Raman, NMR and UV-vis.) and quantum chemical investigations of (E)-3-[4-(pentyloxy)phenyl]-1-phenylprop-2-en-1-one

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    Gokce, Halil/0000-0003-2258-859X; Naseer, Muhammad Moazzam/0000-0003-2788-2958WOS: 000342254500042In this study, the molecular structure and vibrational and electronic transition spectra and H-1 and C-13 NMR chemical shift values (gas phase and in chloroform solvent), HOMO-LUMO analysis, molecular electrostatic potential (MEP), thermodynamic properties and Mulliken atomic charges of (E)-344-(pentyloxy)phenyl]-1-phenylprop-2-en-1-one molecule, C20H22O2, which has many biological activities have been calculated using the DFT/B3LYP method with 6-311++G(d,p) basis set in the ground state. The obtained results indicate a good harmony among the calculated and the experimental FT-IR, Raman, UV vis. (in methanol solvent) and H-1 and C-13 NMR (in chloroform-d solvent) spectra of the mentioned compound. (C) 2014 Elsevier B.V. All rights reserved.Higher Education Commission of PakistanHigher Education Commission of PakistanThe author AA is grateful to Higher Education Commission of Pakistan for financial support

    Analytic continuation of dimensions in supersymmetric localization

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    We compute the perturbative partition functions for gauge theories with eight supersymmetries on spheres of dimension d ≤ 5, proving a conjecture by the second author. We apply similar methods to gauge theories with four supersymmetries on spheres with d ≤ 3. The results are valid for non-integer d as well. We further propose an analytic continuation from d = 3 to d = 4 that gives the perturbative partition function for an N =1 gauge theory. The results are consistent with the free multiplets and the one-loop β-functions for general N = 1 gauge theories. We also consider the analytic continuation of an N = 1 preserving mass deformation of the maximally supersymmetric gauge theory and compare to recent holographic results for N = 1[superscript ∗] super Yang-Mills. We find that the general structure for the real part of the free energy coming from the analytic continuation is consistent with the holographic results. Keywords: Extended Supersymmetry, Matrix Models, Supersymmetric Gauge TheoryUnited States. Department of Energy (Contract de-sc0012567

    Building a Sustainable Future: The Impact of Corporate Social Responsibility on Firms’ Sustainable Development

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    Corporate social responsibility (CSR) promotes society, reduces risk, and encourages ethical business practices. Due to its relevance, we study how CSR influences firms' sustainable development. We analyze data from 427 New York Stock Exchange (NYSE)-listed firms from 2008 to 2022. The Refinitiv environmental and social score is used to measure CSR, whereas for firms' sustainable development we rely on corporate sustainable growth rate (SGR) and market-based metrics. The analysis employs various econometric techniques, including ordinary least square, fixed effect regression, two-stage least square, generalized method of moment, and simultaneous quantile regression. The results indicate that CSR has a positive and significant effect on firms' sustainable development across all models. This relationship supports the notion that socially responsible business can contribute to long-term financial sustainability in line with “stakeholder theory”, indicating that companies should accommodate the concerns of various stakeholders, including society and the environment, to achieve sustainable development. We evaluate how the conditional distributions of SGR and firms’ value are affected by CSR, categorizing them into high, moderate, and low regimes. The quantile regression estimates indicate that the effect of CSR is more pronounced at upper quantiles, followed by moderate and low regimes. These findings underscore the importance of considering CSR in assessing the SGR and enterprises market value. We also confirm that our results are robust under range of different econometrics' methods. Finally, we enlighten current literature, and our research has useful policy implications for management and investors

    CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software

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    CVEfixes is a comprehensive vulnerability dataset that is automatically collected and curated from Common Vulnerabilities and Exposures (CVE) records in the public U.S. National Vulnerability Database (NVD). The goal is to support data-driven security research based on source code and source code metrics related to fixes for CVEs in the NVD by providing detailed information at different interlinked levels of abstraction, such as the commit-, file-, and method level, as well as the repository- and CVE level. At the initial release, the dataset covers all published CVEs up to 9 June 2021. All open-source projects that were reported in CVE records in the NVD in this time frame and had publicly available git repositories were fetched and considered for the construction of this vulnerability dataset. The dataset is organized as a relational database and covers 5495 vulnerability fixing commits in 1754 open source projects for a total of 5365 CVEs in 180 different Common Weakness Enumeration (CWE) types. The dataset includes the source code before and after fixing of 18249 files, and 50322 functions. Because of limitations in GitHub storage, we provide a compressed SQL dump of the CVEfixes vulnerability dataset via Zenodo with DOI: 10.5281/zenodo.4476563. This repository includes the code to replicate the data collection. The complete process has been documented in the paper "CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open- Source Software", a copy of which you will find in the Doc folder. Citation and Zenodo links Please cite this work by referring to the published paper: Guru Bhandari, Amara Naseer, and Leon Moonen. 2021. CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software. In Proceedings of the 17th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE '21). ACM, 10 pages. https://doi.org/10.1145/3475960.3475985 @inproceedings{bhandari2021:cvefixes, title = {{CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software}}, booktitle = {{Proceedings of the 17th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE '21)}}, author = {Bhandari, Guru and Naseer, Amara and Moonen, Leon}, year = {2021}, pages = {10}, publisher = {{ACM}}, doi = {10.1145/3475960.3475985}, copyright = {Open Access}, isbn = {978-1-4503-8680-7}, language = {en} } The dataset has been released on Zenodo with DOI:10.5281/zenodo.4476563. The GitHub repository containing the code to automatically collect the dataset can be found at https://github.com/secureIT-project/CVEfixes, released with DOI:10.5281/zenodo.5111494.This work has been financially supported by the Research Council of Norway through the secureIT project (RCN contract #288787)

    Formulation for the Targeted Delivery of a Vaccine Strain of Oncolytic Measles Virus (OMV) in Hyaluronic Acid Coated Thiolated Chitosan as a Green Nanoformulation for the Treatment of Prostate Cancer: A Viro-Immunotherapeutic Approach [Retraction]

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    Naseer F, Ahmad T, Kousar K, et al. Int J Nanomedicine. 2023;18:185&#x2013;205. We, the Editor and Publisher of the journal International Journal of Nanomedicine are retracting the published article. Following publication of the article, concerns were raised about the duplication of images from Figures 8, 10 and 13 with images from other unrelated articles. Specifically, The image for Figure 8A, blank NF temperatures, has been duplicated with the image for Figure 13C, SEM of lyophilized NF after 3 months storage. The image for Figure 8C, HA-coated OMV loaded TC, has been duplicated with the image for Figure 16C, lyophilized NFs after 3 months, from Kousar K, Naseer F, Abduh MS, Anjum S and Ahmad T. CD44 targeted delivery of oncolytic Newcastle disease virus encapsulated in thiolated chitosan for sustained release in cervical cancer: a targeted immunotherapy approach. Front. Immunol. 2023;14:1175535. https://doi.org/10.3389/fimmu.2023.1175535. The image for Figure 8D, HA-coated OMV loaded TCs, has been duplicated with the image for Figure 6B, CsA-loaded ThC-HA NF, from Abduh MS. Anticancer Analysis of CD44 Targeted Cyclosporine Loaded Thiolated Chitosan Nanoformulations for Sustained Release in Triple-Negative Breast Cancer. Int J Nanomedicine. 2023;18:5713-5732. https://doi.org/10.2147/IJN.S424932. The image for Figure 9D, HA-coated OMV-loaded TCs, has been duplicated with the image for Figure 10B, HA-ThCs-Cis NFs, from Kousar K, Naseer F, Abduh MS, et al. Green synthesis of hyaluronic acid coated, thiolated chitosan nanoparticles for CD44 targeted delivery and sustained release of Cisplatin in cervical carcinoma. Front. Pharmacol. 2023;13:1073004. https://doi.org/10.3389/fphar.2022.1073004. The entire Figure 10 has been duplicated with Figure 6 from Naseer F, Kousar K, Abduh MS, et al. Evaluation of the anticancer potential of CD44 targeted vincristine nanoformulation in prostate cancer xenograft model: a multi-dynamic approach for advanced pharmacokinetic evaluation. Cancer Nano. 2023;14:65. https://doi.org/10.1186/s12645-023-00218-2. The images for Figure 10, Pure MV 12h, 90&#x00B5;g/ml and OMV-loaded TCs 24h, 50&#x00B5;g/ml have been duplicated. The image for Figure 10, OMV-loaded TCs 24h, 90&#x00B5;g/ml has been duplicated with the image for Figure 10, MCF-10A, Pure CsA, 90&#x00B5;g/ml from Abduh MS, 2023. The image for Figure 10, Pure MV 12h, 50&#x00B5;g/ml has been duplicated with the image for Figure 10, MCF-10A, CsA-NF, 60&#x00B5;g/ml from Abduh MS, 2023. The images for Figure 13C, lyophilized NF after 3 months storage, has been duplicated with the image for Figure 7A, SEM image of spherical HA-ThCs-Cis loaded nanoparticles, from Kousar K, et al (2023). The corresponding author responded to our queries but was unable to provide a satisfactory explanation for how the images came to be duplicated and the editor no longer has confidence in the reported findings. As verifying the validity of published work is core to the integrity of the scholarly record, the Publisher and Editor requested to retract the article and the corresponding author does not agree with this decision. We have been informed in our decision-making by our editorial policies and COPE guidelines. The retracted article will remain online to maintain the scholarly record, but it will be digitally watermarked on each page as &#x201C;Retracted&#x201D;
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