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5,731 results on '"Ahmed, J"'

151. IoT and RFID: Make Life Easier and Shake up E-commerce Processes with Smart Objects

Author

Mohamed, Shili, Sethom, Kaouthar, Obaid, Ahmed J., Nejrs, Salwa Mohammed, Najim, Saif Al-din M., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Kumar, Raghvendra, editor, Pattnaik, Prasant Kumar, editor, and R. S. Tavares, João Manuel, editor

Published
2023
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152. An Effective Diagnostic Framework for COVID-19 Using an Integrated Approach

Author

Agarwal, Parul, Idrees, Sheikh Mohammad, Obaid, Ahmed J., Abdulbaqi, Azmi Shawkat, Mahmood, Sawsan Dheyaa, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Kumar, Raghvendra, editor, Pattnaik, Prasant Kumar, editor, and R. S. Tavares, João Manuel, editor

Published
2023
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153. Correction to: Advanced Studies on Environmental Sustainability

Author

Obaid, Ahmed J., Al-Heety, Emad Abdulrahman, Radwan, Neyara, Polkowski, Zdzislaw, Bezaeva, Natalia S., Series Editor, Gomes Coe, Heloisa Helena, Series Editor, Nawaz, Muhammad Farrakh, Series Editor, Obaid, Ahmed J., editor, Al-Heety, Emad Abdulrahman, editor, Radwan, Neyara, editor, and Polkowski, Zdzislaw, editor

Published
2024
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155. Supernova neutrino burst detection with the Deep Underground Neutrino Experiment

Author

Abi, B, Acciarri, R, Acero, MA, Adamov, G, Adams, D, Adinolfi, M, Ahmad, Z, Ahmed, J, Alion, T, Alonso Monsalve, S, Alt, C, Anderson, J, Andreopoulos, C, Andrews, MP, Andrianala, F, Andringa, S, Ankowski, A, Antonova, M, Antusch, S, Aranda-Fernandez, A, Ariga, A, Arnold, LO, Arroyave, MA, Asaadi, J, Aurisano, A, Aushev, V, Autiero, D, Azfar, F, Back, H, Back, JJ, Backhouse, C, Baesso, P, Bagby, L, Bajou, R, Balasubramanian, S, Baldi, P, Bambah, B, Barao, F, Barenboim, G, Barker, GJ, Barkhouse, W, Barnes, C, Barr, G, Barranco Monarca, J, Barros, N, Barrow, JL, Bashyal, A, Basque, V, Bay, F, Alba, JL Bazo, Beacom, JF, Bechetoille, E, Behera, B, Bellantoni, L, Bellettini, G, Bellini, V, Beltramello, O, Belver, D, Benekos, N, Bento Neves, F, Berger, J, Berkman, S, Bernardini, P, Berner, RM, Berns, H, Bertolucci, S, Betancourt, M, Bezawada, Y, Bhattacharjee, M, Bhuyan, B, Biagi, S, Bian, J, Biassoni, M, Biery, K, Bilki, B, Bishai, M, Bitadze, A, Blake, A, Blanco Siffert, B, Blaszczyk, FDM, Blazey, GC, Blucher, E, Boissevain, J, Bolognesi, S, Bolton, T, Bonesini, M, Bongrand, M, Bonini, F, Booth, A, Booth, C, Bordoni, S, Borkum, A, Boschi, T, Bostan, N, Bour, P, Boyd, SB, Boyden, D, Bracinik, J, Braga, D, and Brailsford, D

Subjects
Nuclear and Plasma Physics, Particle and High Energy Physics, Physical Sciences, hep-ex, astro-ph.IM, astro-ph.SR, nucl-ex, physics.ins-det, Atomic, Molecular, Nuclear, Particle and Plasma Physics, Quantum Physics, Nuclear & Particles Physics, Astronomical sciences, Atomic, molecular and optical physics, Particle and high energy physics
Abstract

The deep underground neutrino experiment (DUNE), a 40-kton underground liquid argon time projection chamber experiment, will be sensitive to the electron-neutrino flavor component of the burst of neutrinos expected from the next Galactic core-collapse supernova. Such an observation will bring unique insight into the astrophysics of core collapse as well as into the properties of neutrinos. The general capabilities of DUNE for neutrino detection in the relevant few- to few-tens-of-MeV neutrino energy range will be described. As an example, DUNE’s ability to constrain the νe spectral parameters of the neutrino burst will be considered.

Published
2021

157. GL67 lipid-based liposomal formulation for efficient siRNA delivery into human lung cancer cells

Author

Somayah J. Jarallah, Ahmad M. Aldossary, Essam A. Tawfik, Reem M. Altamimi, Wijdan K. Alsharif, Nouf M. Alzahrani, Homood M. As Sobeai, Wajhul Qamar, Ahmed J. Alfahad, Manal A. Alshabibi, Sarah H. Alqahtani, Abdullah A. Alshehri, and Fahad A. Almughem

Subjects
GL67 lipid, Liposomes, Gene therapy, siRNA delivery, A549 cells, Therapeutics. Pharmacology, RM1-950
Abstract

The efficient delivery of small interfering RNA (siRNA) to the targeted cells significantly affects the regulation of the overexpressed proteins involved in the progression of several genetic diseases. SiRNA molecules in naked form suffer from low internalization across the cell membrane, high susceptibility to degradation by nuclease enzyme and low stability, which hinder their efficacy. Therefore, there is an urge to develop a delivery system that can protect siRNA from degradation and facilitate their uptake across the cell membrane. In this study, the cationic lipid (GL67) was exploited, in addition to DC-Chol and DOPE lipids, to design an efficient liposomal nanocarrier for siRNA delivery. The physiochemical characterizations demonstrated that the molar ratio of 3:1 has proper particle size measurements from 144 nm to 332 nm and zeta potential of −9 mV to 47 mV that depends on the ratio of the GL67 in the liposomal formulation. Gel retardation assay exhibited that increasing the percentage of GL67 in the formulations has a good impact on the encapsulation efficiency compared to DC-Chol. The optimal formulations of the 3:1 M ratio also showed high metabolic activity against A549 cells following a 24 h cell exposure. Flow cytometry findings showed that the highest GL67 lipid ratio (100 % GL67 and 0 % DC-Chol) had the highest percentage of cellular uptake. The lipoplex nanocarriers based on GL67 lipid could potentially influence treating genetic diseases owing to the high internalization efficiency and safety profile.

Published
2023
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159. Molecular mechanisms of microbiome modulation by the eukaryotic secondary metabolite azelaic acid

Author

Ahmed A Shibl, Michael A Ochsenkühn, Amin R Mohamed, Ashley Isaac, Lisa SY Coe, Yejie Yun, Grzegorz Skrzypek, Jean-Baptiste Raina, Justin R Seymour, Ahmed J Afzal, and Shady A Amin

Subjects
diatoms, secondary metabolites, azelaic acid, microbiome, Medicine, Science, Biology (General), QH301-705.5
Abstract

Photosynthetic eukaryotes, such as microalgae and plants, foster fundamentally important relationships with their microbiome based on the reciprocal exchange of chemical currencies. Among these, the dicarboxylate metabolite azelaic acid (Aze) appears to play an important, but heterogeneous, role in modulating these microbiomes, as it is used as a carbon source for some heterotrophs but is toxic to others. However, the ability of Aze to promote or inhibit growth, as well as its uptake and assimilation mechanisms into bacterial cells are mostly unknown. Here, we use transcriptomics, transcriptional factor coexpression networks, uptake experiments, and metabolomics to unravel the uptake, catabolism, and toxicity of Aze on two microalgal-associated bacteria, Phycobacter and Alteromonas, whose growth is promoted or inhibited by Aze, respectively. We identify the first putative Aze transporter in bacteria, a ‘C4-TRAP transporter’, and show that Aze is assimilated through fatty acid degradation, with further catabolism occurring through the glyoxylate and butanoate metabolism pathways when used as a carbon source. Phycobacter took up Aze at an initial uptake rate of 3.8×10–9 nmol/cell/hr and utilized it as a carbon source in concentrations ranging from 10 μM to 1 mM, suggesting a broad range of acclimation to Aze availability. For growth-impeded bacteria, we infer that Aze inhibits the ribosome and/or protein synthesis and that a suite of efflux pumps is utilized to shuttle Aze outside the cytoplasm. We demonstrate that seawater amended with Aze becomes enriched in bacterial families that can catabolize Aze, which appears to be a different mechanism from that in soil, where modulation by the host plant is required. This study enhances our understanding of carbon cycling in the oceans and how microscale chemical interactions can structure marine microbial populations. In addition, our findings unravel the role of a key chemical currency in the modulation of eukaryote-microbiome interactions across diverse ecosystems.

Published
2024
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160. Prescription patterns of quetiapine for multiple drug abuse, depression, and psychosis: A retrospective study

Author

Ayman M. Al-Qaaneh, Osama S. Al-Mohammadi, Razan A. Musharraf, Jumanah S. AlSaedi, Jana L. Shaker, and Ahmed J. Aldhafiri

Subjects
Quetiapine, Abuse, Depression, Psychosis, Prescription, Therapeutics. Pharmacology, RM1-950
Abstract

Background: Quetiapine is an atypical antipsychotic prescribed for schizophrenia, bipolar disorder, multiple drug abuse (MDA), generalized anxiety disorder, severe depression, dementia, and mood disorders. Prescription of quetiapine varies according to use, with side effects increasingly reported with higher doses. Many previous case reports highlighted the misuse of the drug. Here we studied the prescribing patterns of quetiapine in multiple drug abuse (MDA), depression, and psychosis patients in the Madinah region in Saudi Arabia. Methods: This is a retrospective single-center study carried out in the main referral hospital for mental health in Madinah, Saudi Arabia for the period December 2020 till December 2021. Results: A total of 158 patients were included in this study. The mean age of the patients was 30.5 ± 10.1 years. Male presented for 89.9 % of the patients. In terms of quetiapine indications, 46.2 % of patients used it for MDA, 29.7 % for psychosis, and 24.1 for depression. For all patients, quetiapine was used with a mean daily dose of 285.2 ± 222 mg and for a mean duration of 13.9 ± 15.4 weeks. Quetiapine was prescribed with a mean of 2.1 ± 2.2 prescriptions. Comparison between different indications shows that quetiapine was more frequently prescribed for MDA (p

Published
2023
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161. Unveiling the pathogenic mechanisms of NPR2 missense variants: insights into the genotype-associated severity in acromesomelic dysplasia and short stature

Author

Sally Badawi, Divya Saro Varghese, Anjana Raj, Anne John, Hamda S. Al-Musafir, Ahmed J. Al-Ghamari, Alreem R. Alshamsi, Sara H. Ouda, Ghayth Al-Dirbashi, and Bassam R. Ali

Subjects
Acromesomelic Dysplasia Maroteaux type (AMDM), cyclic guanosine monophosphate (cGMP), natriuretic peptide receptor 2 (NPR2), protein quality control, short stature, Biology (General), QH301-705.5
Abstract

Introduction: Natriuretic peptide receptor 2 (NPR2 or NPR-B) plays a central role in growth development and bone morphogenesis and therefore loss-of-function variations in NPR2 gene have been reported to cause Acromesomelic Dysplasia, Maroteaux type 1 and short stature. While several hypotheses have been proposed to underlie the pathogenic mechanisms responsible for these conditions, the exact mechanisms, and functional characteristics of many of those variants and their correlations with the clinical manifestations have not been fully established.Methods: In this study, we examined eight NPR2 genetic missense variants (p.Leu51Pro, p.Gly123Val, p.Leu314Arg, p.Arg318Gly, p.Arg388Gln, p.Arg495Cys, p.Arg557His, and p.Arg932Cys) Acromesomelic Dysplasia, Maroteaux type 1 and short stature located on diverse domains and broadly classified as variants of uncertain significance. The evaluated variants are either reported in patients with acromesomelic dysplasia in the homozygous state or short stature in the heterozygous state. Our investigation included the evaluation of their expression, subcellular trafficking and localization, N-glycosylation profiles, and cyclic guanosine monophosphate (cGMP) production activity.Results and Discussion: Our results indicate that variants p.Leu51Pro, p.Gly123Val, p.Leu314Arg, p.Arg388Gln have defective cellular trafficking, being sequestered within the endoplasmic reticulum (ER), and consequently impaired cGMP production ability. Conversely, variants p.Arg318Gly, p.Arg495Cys, and p.Arg557His seem to display a non-statistically significant behavior that is slightly comparable to WT-NPR2. On the other hand, p.Arg932Cys which is located within the guanylyl cyclase active site displayed normal cellular trafficking profile albeit with defective cGMP. Collectively, our data highlights the genotype-phenotype relationship that might be responsible for the milder symptoms observed in short stature compared to acromesomelic dysplasia. This study enhances our understanding of the functional consequences of several NPR2 variants, shedding light on their mechanisms and roles in related genetic disorders which might also help in their pathogenicity re-classification.

Published
2023
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162. Prospects for beyond the Standard Model physics searches at the Deep Underground Neutrino Experiment: DUNE Collaboration.

Author

Abi, B, Acciarri, R, Acero, MA, Adamov, G, Adams, D, Adinolfi, M, Ahmad, Z, Ahmed, J, Alion, T, Monsalve, S Alonso, Alt, C, Anderson, J, Andreopoulos, C, Andrews, MP, Andrianala, F, Andringa, S, Ankowski, A, Antonova, M, Antusch, S, Aranda-Fernandez, A, Ariga, A, Arnold, LO, Arroyave, MA, Asaadi, J, Aurisano, A, Aushev, V, Autiero, D, Azfar, F, Back, H, Back, JJ, Backhouse, C, Baesso, P, Bagby, L, Bajou, R, Balasubramanian, S, Baldi, P, Bambah, B, Barao, F, Barenboim, G, Barker, GJ, Barkhouse, W, Barnes, C, Barr, G, Monarca, J Barranco, Barros, N, Barrow, JL, Bashyal, A, Basque, V, Bay, F, Alba, JL Bazo, Beacom, JF, Bechetoille, E, Behera, B, Bellantoni, L, Bellettini, G, Bellini, V, Beltramello, O, Belver, D, Benekos, N, Neves, F Bento, Berger, J, Berkman, S, Bernardini, P, Berner, RM, Berns, H, Bertolucci, S, Betancourt, M, Bezawada, Y, Bhattacharjee, M, Bhuyan, B, Biagi, S, Bian, J, Biassoni, M, Biery, K, Bilki, B, Bishai, M, Bitadze, A, Blake, A, Siffert, B Blanco, Blaszczyk, FDM, Blazey, GC, Blucher, E, Boissevain, J, Bolognesi, S, Bolton, T, Bonesini, M, Bongrand, M, Bonini, F, Booth, A, Booth, C, Bordoni, S, Borkum, A, Boschi, T, Bostan, N, Bour, P, Boyd, SB, Boyden, D, Bracinik, J, Braga, D, and Brailsford, D

Subjects
hep-ex, hep-ph, Atomic, Molecular, Nuclear, Particle and Plasma Physics, Quantum Physics, Nuclear & Particles Physics
Abstract

The Deep Underground Neutrino Experiment (DUNE) will be a powerful tool for a variety of physics topics. The high-intensity proton beams provide a large neutrino flux, sampled by a near detector system consisting of a combination of capable precision detectors, and by the massive far detector system located deep underground. This configuration sets up DUNE as a machine for discovery, as it enables opportunities not only to perform precision neutrino measurements that may uncover deviations from the present three-flavor mixing paradigm, but also to discover new particles and unveil new interactions and symmetries beyond those predicted in the Standard Model (SM). Of the many potential beyond the Standard Model (BSM) topics DUNE will probe, this paper presents a selection of studies quantifying DUNE's sensitivities to sterile neutrino mixing, heavy neutral leptons, non-standard interactions, CPT symmetry violation, Lorentz invariance violation, neutrino trident production, dark matter from both beam induced and cosmogenic sources, baryon number violation, and other new physics topics that complement those at high-energy colliders and significantly extend the present reach.

Published
2021

163. Random and Coherence Noise Attenuation Complete Sequence for 2-D Land Seismic Data Acquired in Iraq

Author

Al-Heety, Ahmed J. R. and Thabit, Hassan A.

Subjects
Physics - Geophysics
Abstract

Noises are common events in seismic reflection data that have very striking features in seismograms, affecting seismic data processing and interpretation. Noise attenuation is an essential phase in seismic processing data, usually resulting in seismic interpretation improvement that enhances the signal to noise ratio. Groundroll presence is the major fashion of significant noise in the land seismic survey. It is a type of coherent noise present in seismograms that appears as linear events, in most cases overlapping the reflections and probably making it challenging to recognize. There are several domains used in noise attenuation, Domain transformations is a complex algorithms standard tool used commonly used during processing of seismic data and imaging processing, So a large number methods have been developed to attenuate these types of noise. In the time-offset domain, the noise wave such as Groundroll and random noises, overlap each other over time; a different domain makes it easier to successfully isolate coherent, random noise and reflection events. Five steps are introduced to attenuate coherent and random noise, these steps are FDNAT, AGORA, RADMX, SCFIL, DDMED as well as Time-Variant band-pass Filter. The results indicate that the different domains can actually reveal features and geological structures that have been masked by the noises present in current data. because encourage significant improvements in the final image quality in 2-D seismic section, so, these filtering techniques possibly give advantage to the interpreter in particularly in structural and stratigraphic interpretation during the work of interpretation, especially in the exploration and characterizing possible traps., Comment: 22 pages and 17 Figures with 5 Tables

Published
2019

164. First results on ProtoDUNE-SP liquid argon time projection chamber performance from a beam test at the CERN Neutrino Platform

Author

Abi, B, Abud, A Abed, Acciarri, R, Acero, MA, Adamov, G, Adamowski, M, Adams, D, Adrien, P, Adinolfi, M, Ahmad, Z, Ahmed, J, Alion, T, Monsalve, S Alonso, Alt, C, Anderson, J, Andreopoulos, C, Andrews, MP, Andrianala, F, Andringa, S, Ankowski, A, Antonova, M, Antusch, S, Aranda-Fernandez, A, Ariga, A, Arnold, LO, Arroyave, MA, Asaadi, J, Aurisano, A, Aushev, V, Autiero, D, Azfar, F, Back, H, Back, JJ, Backhouse, C, Baesso, P, Bagby, L, Bajou, R, Balasubramanian, S, Baldi, P, Bambah, B, Barao, F, Barenboim, G, Barker, GJ, Barkhouse, W, Barnes, C, Barr, G, Monarca, J Barranco, Barros, N, Barrow, JL, Bashyal, A, Basque, V, Bay, F, Alba, JL Bazo, Beacom, JF, Bechetoille, E, Behera, B, Bellantoni, L, Bellettini, G, Bellini, V, Beltramello, O, Belver, D, Benekos, N, Neves, F Bento, Berger, J, Berkman, S, Bernardini, P, Berner, RM, Berns, H, Bertolucci, S, Betancourt, M, Bezawada, Y, Bhattacharjee, M, Bhuyan, B, Biagi, S, Bian, J, Biassoni, M, Biery, K, Bilki, B, Bishai, M, Bitadze, A, Blake, A, Siffert, B Blanco, Blaszczyk, FDM, Blazey, GC, Blucher, E, Boissevain, J, Bolognesi, S, Bolton, T, Bonesini, M, Bongrand, M, Bonini, F, Booth, A, Booth, C, Bordoni, S, Borkum, A, Boschi, T, Bostan, N, Bour, P, Boyd, SB, and Boyden, D

Subjects
Nuclear and Plasma Physics, Particle and High Energy Physics, Synchrotrons and Accelerators, Physical Sciences, Bioengineering, Large detector systems for particle and astroparticle physics, Noble liquid detectors, Time projection Chambers, physics.ins-det, hep-ex, Engineering, Nuclear & Particles Physics, Physical sciences
Abstract

The ProtoDUNE-SP detector is a single-phase liquid argon time projection chamber with an active volume of 7.2× 6.1× 7.0 m3. It is installed at the CERN Neutrino Platform in a specially-constructed beam that delivers charged pions, kaons, protons, muons and electrons with momenta in the range 0.3 GeV/c to 7 GeV/c. Beam line instrumentation provides accurate momentum measurements and particle identification. The ProtoDUNE-SP detector is a prototype for the first far detector module of the Deep Underground Neutrino Experiment, and it incorporates full-size components as designed for that module. This paper describes the beam line, the time projection chamber, the photon detectors, the cosmic-ray tagger, the signal processing and particle reconstruction. It presents the first results on ProtoDUNE-SP's performance, including noise and gain measurements, dE/dx calibration for muons, protons, pions and electrons, drift electron lifetime measurements, and photon detector noise, signal sensitivity and time resolution measurements. The measured values meet or exceed the specifications for the DUNE far detector, in several cases by large margins. ProtoDUNE-SP's successful operation starting in 2018 and its production of large samples of high-quality data demonstrate the effectiveness of the single-phase far detector design.

Published
2020

165. Neutrino interaction classification with a convolutional neural network in the DUNE far detector

Author

Abi, B, Acciarri, R, Acero, MA, Adamov, G, Adams, D, Adinolfi, M, Ahmad, Z, Ahmed, J, Alion, T, Alonso Monsalve, S, Alt, C, Anderson, J, Andreopoulos, C, Andrews, MP, Andrianala, F, Andringa, S, Ankowski, A, Antonova, M, Antusch, S, Aranda-Fernandez, A, Ariga, A, Arnold, LO, Arroyave, MA, Asaadi, J, Aurisano, A, Aushev, V, Autiero, D, Azfar, F, Back, H, Back, JJ, Backhouse, C, Baesso, P, Bagby, L, Bajou, R, Balasubramanian, S, Baldi, P, Bambah, B, Barao, F, Barenboim, G, Barker, GJ, Barkhouse, W, Barnes, C, Barr, G, Barranco Monarca, J, Barros, N, Barrow, JL, Bashyal, A, Basque, V, Bay, F, Bazo Alba, JL, Beacom, JF, Bechetoille, E, Behera, B, Bellantoni, L, Bellettini, G, Bellini, V, Beltramello, O, Belver, D, Benekos, N, Bento Neves, F, Berger, J, Berkman, S, Bernardini, P, Berner, RM, Berns, H, Bertolucci, S, Betancourt, M, Bezawada, Y, Bhattacharjee, M, Bhuyan, B, Biagi, S, Bian, J, Biassoni, M, Biery, K, Bilki, B, Bishai, M, Bitadze, A, Blake, A, Blanco Siffert, B, Blaszczyk, FDM, Blazey, GC, Blucher, E, Boissevain, J, Bolognesi, S, Bolton, T, Bonesini, M, Bongrand, M, Bonini, F, Booth, A, Booth, C, Bordoni, S, Borkum, A, Boschi, T, Bostan, N, Bour, P, Boyd, SB, Boyden, D, Bracinik, J, Braga, D, and Brailsford, D

Subjects
physics.ins-det, hep-ex
Abstract

The Deep Underground Neutrino Experiment is a next-generation neutrino oscillation experiment that aims to measure CP-violation in the neutrino sector as part of a wider physics program. A deep learning approach based on a convolutional neural network has been developed to provide highly efficient and pure selections of electron neutrino and muon neutrino charged-current interactions. The electron neutrino (antineutrino) selection efficiency peaks at 90% (94%) and exceeds 85% (90%) for reconstructed neutrino energies between 2-5 GeV. The muon neutrino (antineutrino) event selection is found to have a maximum efficiency of 96% (97%) and exceeds 90% (95%) efficiency for reconstructed neutrino energies above 2 GeV. When considering all electron neutrino and antineutrino interactions as signal, a selection purity of 90% is achieved. These event selections are critical to maximize the sensitivity of the experiment to CP-violating effects.

Published
2020

166. Long-baseline neutrino oscillation physics potential of the DUNE experiment

Author

Abi, B, Acciarri, R, Acero, MA, Adamov, G, Adams, D, Adinolfi, M, Ahmad, Z, Ahmed, J, Alion, T, Monsalve, S Alonso, Alt, C, Anderson, J, Andreopoulos, C, Andrews, MP, Andrianala, F, Andringa, S, Ankowski, A, Antonova, M, Antusch, S, Aranda-Fernandez, A, Ariga, A, Arnold, LO, Arroyave, MA, Asaadi, J, Aurisano, A, Aushev, V, Autiero, D, Azfar, F, Back, H, Back, JJ, Backhouse, C, Baesso, P, Bagby, L, Bajou, R, Balasubramanian, S, Baldi, P, Bambah, B, Barao, F, Barenboim, G, Barker, GJ, Barkhouse, W, Barnes, C, Barr, G, Monarca, J Barranco, Barros, N, Barrow, JL, Bashyal, A, Basque, V, Bay, F, Alba, JL Bazo, Beacom, JF, Bechetoille, E, Behera, B, Bellantoni, L, Bellettini, G, Bellini, V, Beltramello, O, Belver, D, Benekos, N, Neves, F Bento, Berger, J, Berkman, S, Bernardini, P, Berner, RM, Berns, H, Bertolucci, S, Betancourt, M, Bezawada, Y, Bhattacharjee, M, Bhuyan, B, Biagi, S, Bian, J, Biassoni, M, Biery, K, Bilki, B, Bishai, M, Bitadze, A, Blake, A, Siffert, B Blanco, Blaszczyk, FDM, Blazey, GC, Blucher, E, Boissevain, J, Bolognesi, S, Bolton, T, Bonesini, M, Bongrand, M, Bonini, F, Booth, A, Booth, C, Bordoni, S, Borkum, A, Boschi, T, Bostan, N, Bour, P, Boyd, SB, Boyden, D, Bracinik, J, Braga, D, and Brailsford, D

Subjects
Nuclear and Plasma Physics, Particle and High Energy Physics, Physical Sciences, hep-ex, hep-ph, Atomic, Molecular, Nuclear, Particle and Plasma Physics, Quantum Physics, Nuclear & Particles Physics, Astronomical sciences, Atomic, molecular and optical physics, Particle and high energy physics
Abstract

The sensitivity of the Deep Underground Neutrino Experiment (DUNE) to neutrino oscillation is determined, based on a full simulation, reconstruction, and event selection of the far detector and a full simulation and parameterized analysis of the near detector. Detailed uncertainties due to the flux prediction, neutrino interaction model, and detector effects are included. DUNE will resolve the neutrino mass ordering to a precision of 5σ, for all δCP values, after 2 years of running with the nominal detector design and beam configuration. It has the potential to observe charge-parity violation in the neutrino sector to a precision of 3σ (5σ) after an exposure of 5 (10) years, for 50% of all δCP values. It will also make precise measurements of other parameters governing long-baseline neutrino oscillation, and after an exposure of 15 years will achieve a similar sensitivity to sin 22 θ13 to current reactor experiments.

Published
2020

167. Dynamical properties of a modified chaotic Colpitts oscillator with triangular wave non-linearity

Author

Rasappan Suresh, Kumaravel Sathish Kumar, Murugesan Regan, K.A. Niranjan Kumar, R. Narmada Devi, and Ahmed J. Obaid

Subjects
chaos, colpitts oscillator, lyapunov exponent, diffusion, stability, synchronization, triangular wave non-linearity, Information technology, T58.5-58.64, Mathematics, QA1-939
Abstract

The purpose of this paper is to introduce a new chaotic oscillator. Although different chaotic systems have been formulated by earlier researchers, only a few chaotic systems exhibit chaotic behaviour. In this work, a new chaotic system with chaotic attractor is introduced for triangular wave non-linearity. It is worth noting that this striking phenomenon rarely occurs in respect of chaotic systems. The system proposed in this paper has been realized with numerical simulation. The results emanating from the numerical simulation indicate the feasibility of the proposed chaotic system. More over, chaos control, stability, diffusion and synchronization of such a system have been dealt with.

Published
2023
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168. In vitro Antibacterial Activities of Selected Medicinal Plants Used by Traditional Healers for Treating Urinary Tract Infection in Haramaya District, Eastern Ethiopia

Author

Ahmed J, Abdu A, Mitiku H, and Ataro Z

Subjects
urinary tract infections, antibacterial, medicinal plants, haramaya, Infectious and parasitic diseases, RC109-216
Abstract

Jemal Ahmed,1 Ahmedmenewer Abdu,2 Habtamu Mitiku,2 Zerihun Ataro2 1Department of Veterinary Medicine, Haramaya University, Haramaya, Ethiopia; 2School of Medical Laboratory Science, College of Health and Medical Sciences, Haramaya University, Harar, EthiopiaCorrespondence: Ahmedmenewer Abdu, School of Medical Laboratory Sciences, College of Health and Medical Sciences, Haramaya University, Ethiopia, Tel +251922618955, Email menewer59@gmail.comBackground: Despite the presence of antibacterial agents for urinary tract infection treatment, most of the uropathogenic bacteria reveal multi-drug resistance. Health and economic loss due to these represent a rising burden worldwide which necessitates serious action at regional, national and global levels. Thus, alternative approaches to overcome this problem by using bioactive compounds from traditional medicinal plants are required. This study was designed to evaluate the in-vitro antibacterial activity of Punica granatum fruit peels, Nigella sativa seeds, and Echinops kebericho used in the traditional treatment of urinary tract infections.Methods: An experimental study was employed to evaluate the in vitro antibacterial activity of methanol and ethanol crude extract of Punica granatum fruit peels, Nigella sativa seeds, and Echinops kebericho roots of six dilutions (25, 50, 100, 125, 250, and 500) mg/mL. Disc diffusion and macro broth dilution methods were used to determine antimicrobial activity test and minimum inhibitory concentration respectively against E. coli, P. aeruginosa, K. pneumoniae, P. mirabilis, and S. aureus bacterias.Results: Antibacterial activities of ethanol and methanol crude extract of Punica granatum fruit peels against E. coli ATCC25922, P. aeruginosa ATCC27853, S. aureus ATCC25923, K. pneumoniae UK5099 and P. mirabilis UK5999 had highest inhibition zones among tested plants. All tested bacteria were highly sensitive to Punica granatum extract. The second most active plant extract in inhibiting the growth of tested bacteria was Nigella sativa while Echinops kebericho showed the smallest efficacy against tested bacteria. The inhibition zone diameter produced by the methanol extract of each screened plant had higher inhibition zones than ethanol extract.Conclusion: The crude extracts of Punica granatum fruit peels, Nigella sativa seeds, and Echinops kebericho roots have promising antibacterial activity against tested uropathogenic bacteria.Keywords: urinary tract infections, antibacterial, medicinal plants, Haramaya

Published
2023

175. Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora

Author

Abud, A. Abed, Abi, B., Acciarri, R., Acero, M. A., Adames, M. R., Adamov, G., Adamowski, M., Adams, D., Adinolfi, M., Adriano, C., Aduszkiewicz, A., Aguilar, J., Ahmad, Z., Ahmed, J., Aimard, B., Akbar, F., Ali-Mohammadzadeh, B., Allison, K., Monsalve, S. Alonso, AlRashed, M., Alt, C., Alton, A., Alvarez, R., Amedo, P., Anderson, J., Andreopoulos, C., Andreotti, M., Andrews, M., Andrianala, F., Andringa, S., Anfimov, N., Ankowski, A., Antoniassi, M., Antonova, M., Antoshkin, A., Antusch, S., Aranda-Fernandez, A., Arellano, L., Arnold, L. O., Arroyave, M. A., Asaadi, J., Asquith, L., Aurisano, A., Aushev, V., Autiero, D., Ayala Lara, V., Ayala-Torres, M., Azfar, F., Back, A., Back, H., Back, J. J., Backhouse, C., Bagaturia, I., Bagby, L., Balashov, N., Balasubramanian, S., Baldi, P., Baller, B., Bambah, B., Barao, F., Barenboim, G., Barker, G., Barkhouse, W., Barnes, C., Barr, G., Monarca, J. Barranco, Barros, A., Barros, N., Barrow, J. L., Basharina-Freshville, A., Bashyal, A., Basque, V., Batchelor, C., Battat, J., Battisti, F., Bay, F., Bazetto, M. C. Q., Bazo Alba, J. L., Beacom, J. F., Bechetoille, E., Behera, B., das Chagas, E. Belchior Batista, Bellantoni, L., Bellettini, G., Bellini, V., Beltramello, O., Benekos, N., Benitez Montiel, C., Bento Neves, F., Berger, J., Berkman, S., Bernardini, P., Berner, R. M., Bersani, A., Bertolucci, S., Betancourt, M., Rodríguez, A. Betancur, Bevan, A., Bezawada, Y., Bezerra, A. T., Bezerra, T. J., Bhardwaj, A., Bhatnagar, V., Bhattacharjee, M., Bhattarai, D., Bhuller, S., Bhuyan, B., Biagi, S., Bian, J., Biassoni, M., Biery, K., Bilki, B., Bishai, M., Bitadze, A., Blake, A., Blaszczyk, F. D. M., Blazey, G. C., Blucher, E., Boissevain, J., Bolognesi, S., Bolton, T., Bomben, L., Bonesini, M., Bonilla-Diaz, C., Bonini, F., Booth, A., Boran, F., Bordoni, S., Borkum, A., Bostan, N., Bour, P., Boyden, D., Bracinik, J., Braga, D., Brailsford, D., Branca, A., Brandt, A., Bremer, J., Brew, C., Brice, S. J., Brizzolari, C., Bromberg, C., Brooke, J., Bross, A., Brunetti, G., Brunetti, M., Buchanan, N., Budd, H., Butorov, I., Cagnoli, I., Cai, T., Caiulo, D., Calabrese, R., Calafiura, P., Calcutt, J., Calin, M., Calvez, S., Calvo, E., Caminata, A., Campos Benitez, A., Caratelli, D., Carber, D., Carceller, J. M., Carini, G., Carlus, B., Carneiro, M. F., Carniti, P., Terrazas, I. Caro, Carranza, H., Carroll, T., Forero, J. F. Castaño, Castillo, A., Castromonte, C., Catano-Mur, E., Cattadori, C., Cavalier, F., Cavallaro, G., Cavanna, F., Centro, S., Cerati, G., Cervelli, A., Cervera Villanueva, A., Chalifour, M., Chappell, A., Chardonnet, E., Charitonidis, N., Chatterjee, A., Chattopadhyay, S., Chavarry Neyra, M. S., Chen, H., Chen, M., Chen, Y., Chen, Z., Chen-Wishart, Z., Cheon, Y., Cherdack, D., Chi, C., Childress, S., Chirco, R., Chiriacescu, A., Cho, K., Choate, S., Chokheli, D., Chong, P. S., Christensen, A., Christian, D., Christodoulou, G., Chukanov, A., Chung, M., Church, E., Cicero, V., Clarke, P., Cline, G., Coan, T. E., Cocco, A. G., Coelho, J., Collot, J., Colton, N., Conley, E., Conley, R., Conrad, J., Convery, M., Copello, S., Cova, P., Cremaldi, L., Cremonesi, L., Crespo-Anadón, J. I., Crisler, M., Cristaldo, E., Crnkovic, J., Cross, R., Cudd, A., Cuesta, C., Cui, Y., Cussans, D., Dai, J., Dalager, O., Da Motta, H., Da Silva Peres, L., David, C., David, Q., Davies, G. S., Davini, S., Dawson, J., De, K., De, S., Debbins, P., De Bonis, I., Decowski, M., De Gouvea, A., De Holanda, P. C., De Icaza Astiz, I. L., Deisting, A., De Jong, P., Delbart, A., De Leo, V., Delepine, D., Delgado, M., Dell’Acqua, A., Delmonte, N., De Lurgio, P., De Mello Neto, J. R., DeMuth, D. M., Dennis, S., Densham, C., Deptuch, G. W., De Roeck, A., De Romeri, V., De Souza, G., Devi, R., Dharmapalan, R., Dias, M., Diaz, J., Díaz, F., Di Capua, F., Di Domenico, A., Di Domizio, S., Di Giulio, L., Ding, P., Di Noto, L., Dirkx, G., Distefano, C., Diurba, R., Diwan, M., Djurcic, Z., Doering, D., Dolan, S., Dolek, F., Dolinski, M., Domine, L., Donon, Y., Douglas, D., Dragone, A., Drake, G., Drielsma, F., Duarte, L., Duchesneau, D., Duffy, K., Dunne, P., Dutta, B., Duyang, H., Dvornikov, O., Dwyer, D., Dyshkant, A., Eads, M., Earle, A., Edmunds, D., Eisch, J., Emberger, L., Emery, S., Englezos, P., Ereditato, A., Erjavec, T., Escobar, C., Escudero Sanchez, L., Eurin, G., Evans, J. J., Ewart, E., Ezeribe, A. C., Fahey, K., Falcone, A., Fani’, M., Farnese, C., Farzan, Y., Fedoseev, D., Felix, J., Feng, Y., Fernandez-Martinez, E., Fernandez Menendez, P., Ferraro, F., Fields, L., Filip, P., Filthaut, F., Fine, R., Fiorillo, G., Fiorini, M., Fischer, V., Fitzpatrick, R. S., Flanagan, W., Fleming, B., Flight, R., Fogarty, S., Foreman, W., Fowler, J., Fox, W., Franc, J., Francis, K., Franco, D., Freeman, J., Freestone, J., Fried, J., Friedland, A., Fuess, S., Furic, I. K., Furman, K., Furmanski, A. P., Gabrielli, A., Gago, A., Gallagher, H., Gallas, A., Gallego-Ros, A., Gallice, N., Galymov, V., Gamberini, E., Gamble, T., Ganacim, F., Gandhi, R., Ganguly, S., Gao, F., Gao, S., Garcia-Gamez, D., García-Peris, M. 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M., Jain, V., James, E., Jang, W., Jargowsky, B., Jediny, F., Jena, D., Jeong, Y., Jesús-Valls, C., Ji, X., Jiang, J., Jiang, L., Jiménez, S., Jipa, A., Joaquim, F., Johnson, W., Johnston, N., Jones, B., Judah, M., Jung, C., Junk, T., Jwa, Y., Kabirnezhad, M., Kaboth, A., Kadenko, I., Kakorin, I., Kalitkina, A., Kalra, D., Kamiya, F., Kaplan, D. M., Karagiorgi, G., Karaman, G., Karcher, A., Karolak, M., Karyotakis, Y., Kasai, S., Kasetti, S. P., Kashur, L., Kazaryan, N., Kearns, E., Keener, P., Kelly, K. J., Kemp, E., Kemularia, O., Ketchum, W., Kettell, S. H., Khabibullin, M., Khotjantsev, A., Khvedelidze, A., Kim, D., King, B., Kirby, B., Kirby, M., Klein, J., Klustova, A., Kobilarcik, T., Koehler, K., Koerner, L. W., Koh, D. H., Kohn, S., Koller, P. P., Kolupaeva, L., Korablev, D., Kordosky, M., Kosc, T., Kose, U., Kostelecky, V., Kothekar, K., Kralik, R., Kreczko, L., Krennrich, F., Kreslo, I., Kropp, W., Kroupova, T., Kubota, S., Kudenko, Y., Kudryavtsev, V. A., Kuhlmann, S., Kulagin, S., Kumar, J., Kumar, P., Kunze, P., Kuravi, R., Kurita, N., Kuruppu, C., Kus, V., Kutter, T., Kvasnicka, J., Kwak, D., Lambert, A., Land, B., Lane, C. E., Lang, K., Langford, T., Langstaff, M., Larkin, J., Lasorak, P., Last, D., Laundrie, A., Laurenti, G., Lawrence, A., Lazanu, I., LaZur, R., Lazzaroni, M., Le, T., Leardini, S., Learned, J., LeBrun, P., LeCompte, T., Lee, C., Lee, S., Lehmann Miotto, G., Lehnert, R., de Oliveira, M. Leigui, Leitner, M., Lepin, L. M., Li, S., Li, Y., Liao, H., Lin, C., Lin, Q., Lin, S., Lineros, R. A., Ling, J., Lister, A., Littlejohn, B. R., Liu, J., Liu, Y., Lockwitz, S., Loew, T., Lokajicek, M., Lomidze, I., Long, K., Lord, T., LoSecco, J., Louis, W. C., Lu, X., Luk, K., Lunday, B., Luo, X., Luppi, E., Lux, T., Luzio, V. P., Maalmi, J., MacFarlane, D., Machado, A., Machado, P., Macias, C., Macier, J., Maddalena, A., Madera, A., Madigan, P., Magill, S., Mahn, K., Maio, A., Major, A., Maloney, J. A., Mandrioli, G., Mandujano, R. C., Maneira, J. C., Manenti, L., Manly, S., Mann, A., Manolopoulos, K., Manrique Plata, M., Manyam, V. N., Marchan, M., Marchionni, A., Marciano, W., Marfatia, D., Mariani, C., Maricic, J., Marie, R., Marinho, F., Marino, A. D., Markiewicz, T., Marsden, D., Marshak, M., Marshall, C., Marshall, J., Marteau, J., Martín-Albo, J., Martinez, N., Martinez Caicedo, D. A., Miravé, P. Martínez, Martynenko, S., Mascagna, V., Mason, K., Mastbaum, A., Matichard, F., Matsuno, S., Matthews, J., Mauger, C., Mauri, N., Mavrokoridis, K., Mawby, I., Mazza, R., Mazzacane, A., Mazzucato, E., McAskill, T., McCluskey, E., McConkey, N., McFarland, K. S., McGrew, C., McNab, A., Mefodiev, A., Mehta, P., Melas, P., Mena, O., Mendez, H., Mendez, P., Méndez, D. P., Menegolli, A., Meng, G., Messier, M., Metcalf, W., Mewes, M., Meyer, H., Miao, T., Michna, G., Mikola, V., Milincic, R., Miller, G., Miller, W., Mills, J., Mineev, O., Minotti, A., Miranda, O. G., Miryala, S., Mishra, C., Mishra, S., Mislivec, A., Mitchell, M., Mladenov, D., Mocioiu, I., Moffat, K., Moggi, N., Mohanta, R., Mohayai, T. A., Mokhov, N., Molina, J. A., Molina Bueno, L., Montagna, E., Montanari, A., Montanari, C., Montanari, D., Montanino, D., Zetina, L. M. Montaño, Moon, S., Mooney, M., Moor, A. F., Moreno, D., Moretti, D., Morris, C., Mossey, C., Mote, M., Motuk, E., Moura, C. A., Mousseau, J., Mouster, G., Mu, W., Mualem, L., Mueller, J., Muether, M., Mufson, S., Muheim, F., Muir, A., Mulhearn, M., Munford, D., Muramatsu, H., Murphy, M., Murphy, S., Musser, J., Nachtman, J., Nagai, Y., Nagu, S., Nalbandyan, M., Nandakumar, R., Naples, D., Narita, S., Nath, A., Navrer-Agasson, A., Nayak, N., Nebot-Guinot, M., Negishi, K., Nelson, J. K., Nesbit, J., Nessi, M., Newbold, D., Newcomer, M., Newton, H., Nichol, R., Nicolas-Arnaldos, F., Nikolica, A., Niner, E., Nishimura, K., Norman, A., Norrick, A., Northrop, R., Novella, P., Nowak, J. A., Oberling, M., Ochoa-Ricoux, J., Olivier, A., Olshevskiy, A., Onel, Y., Onishchuk, Y., Ott, J., Pagani, L., Palacio, G., Palamara, O., Palestini, S., Paley, J. M., Pallavicini, M., Palomares, C., Panduro Vazquez, W., Pantic, E., Paolone, V., Papadimitriou, V., Papaleo, R., Papanestis, A., Paramesvaran, S., Parke, S., Parozzi, E., Parsa, Z., Parvu, M., Pascoli, S., Pasqualini, L., Pasternak, J., Pater, J., Patrick, C., Patrizii, L., Patterson, R. B., Patton, S., Patzak, T., Paudel, A., Paulos, B., Paulucci, L., Pavlovic, Z., Pawloski, G., Payne, D., Pec, V., Peeters, S. J., Pena Perez, A., Pennacchio, E., Penzo, A., Peres, O. L., Perry, J., Pershey, D., Pessina, G., Petrillo, G., Petta, C., Petti, R., Pia, V., Piastra, F., Pickering, L., Pietropaolo, F., Pimentel, V. L., Pinaroli, G., Plows, K., Plunkett, R., Pompa, F., Pons, X., Poonthottathil, N., Poppi, F., Pordes, S., Porter, J., Porzio, S., Potekhin, M., Potenza, R., Potukuchi, B. V., Pozimski, J., Pozzato, M., Prakash, S., Prakash, T., Prest, M., Prince, S., Psihas, F., Pugnere, D., Qian, X., Raaf, J., Radeka, V., Rademacker, J., Radics, B., Rafique, A., Raguzin, E., Rai, M., Rajaoalisoa, M., Rakhno, I., Rakotonandrasana, A., Rakotondravohitra, L., Rameika, R., Ramirez Delgado, M., Ramson, B., Rappoldi, A., Raselli, G., Ratoff, P., Raut, S., Razafinime, H., Razakamiandra, R., Rea, E. M., Real, J. S., Rebel, B., Rechenmacher, R., Reggiani-Guzzo, M., Reichenbacher, J., Reitzner, S. D., Rejeb Sfar, H., Renshaw, A., Rescia, S., Resnati, F., Ribas, M., Riboldi, S., Riccio, C., Riccobene, G., Rice, L. C., Ricol, J. S., Rigamonti, A., Rigaut, Y., Rincón, E. V., Ritchie-Yates, H., Rivera, D., Robert, A., Rocabado Rocha, J., Rochester, L., Roda, M., Rodrigues, P., da Silva Leite, J. V. Rodrigues, Alonso, M. J. Rodriguez, Rondon, J. Rodriguez, Rosauro-Alcaraz, S., Rosier, P., Roskovec, B., Rossella, M., Rossi, M., Rout, J., Roy, P., Rubbia, A., Rubbia, C., Russell, B., Ruterbories, D., Rybnikov, A., Saa-Hernandez, A., Saakyan, R., Sacerdoti, S., Sahu, N., Sala, P., Samios, N., Samoylov, O., Sanchez, M., Sandberg, V., Sanders, D. A., Sankey, D., Saoulidou, N., Sapienza, P., Sarasty, C., Sarcevic, I., Savage, G., Savinov, V., Scaramelli, A., Scarff, A., Scarpelli, A., Schefke, T., Schellman, H., Schifano, S., Schlabach, P., Schmitz, D., Schneider, A. W., Scholberg, K., Schukraft, A., Segreto, E., Selyunin, A., Senise, Jr., C. R., Sensenig, J., Sgalaberna, D., Shaevitz, M., Shafaq, S., Shaker, F., Shamma, M., Sharankova, R., Sharma, H. R., Sharma, R., Sharma, R. K., Shaw, K., Shaw, T., Shchablo, K., Shepherd-Themistocleous, C., Sheshukov, A., Shin, S., Shoemaker, I., Shooltz, D., Shrock, R., Siegel, H., Simard, L., Sinclair, J., Sinev, G., Singh, J., Singh, J., Singh, L., Singh, P., Singh, V., Sipos, R., Sippach, F., Sirri, G., Sitraka, A., Siyeon, K., Skarpaas, K., Smith, E., Smith, P., Smolik, J., Smy, M., Snider, E., Snopok, P., Snowden-Ifft, D., Nunes, M. Soares, Sobel, H., Soderberg, M., Sokolov, S., Salinas, C. J. Solano, Söldner-Rembold, S., Soleti, S., Solomey, N., Solovov, V., Sondheim, W. E., Sorel, M., Sotnikov, A., Soto-Oton, J., Ugaldi, F. Soto, Sousa, A., Soustruznik, K., Spagliardi, F., Spanu, M., Spitz, J., Spooner, N. J. C., Spurgeon, K., Stancari, M., Stanco, L., Stanford, C., Stein, R., Steiner, H., Lisbôa, A. F. Steklain, Stewart, J., Stillwell, B., Stock, J., Stocker, F., Stokes, T., Strait, M., Strauss, T., Strigari, L., Stuart, A., Suarez, J. G., Sunción, J. 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Published
2023
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177. Strengthening Security and Confidentiality in E-Health Systems through Quantum Encryption of Healthcare

Author

Ahmed J. Kadhim and Tayseer S. Atia

Subjects
5D chaotic map, patient confidentiality, GNEQR ,healthcare images, and quantum encryption, Science
Abstract

This study presents a pioneering quantum encryption technique, the Generalized Novel Enhancement Quantum Representation (GNEQR), to ensure enhanced security for color medical images in E-health systems. The proposed method is seamlessly integrated into an ASP.NET Web API and Blazor Web Assembly environment. During the encryption process, the GNEQR algorithm utilizes advanced bit-plane scrambling to obscure the original color medical image. A 5D chaotic map is employed to generate an image key, which is then used to create a scrambled version of the key image. Applying an XOR operation between the scrambled image and the key image produces a highly secure quantum-encrypted color image. In the decryption process, the inverse of the encryption steps is implemented, leveraging the 5D chaotic map-generated key to accurately reconstruct the original color medical image. This research aims to significantly enhance E-health security by protecting patient data, including medical images and histories, through quantum encryption. The incorporation of GNEQR within an ASP.NET Web API and Blazor Web Assembly framework facilitates seamless deployment and underscores the potential of this method to revolutionize healthcare data privacy and integrity.

Published
2023
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178. Multicast Routing Based on Data Envelopment Analysis and Markovian Decision Processes for Multimodal Transportation

Author

Mohanad R. Aljanabi, Keivan Borna, Shamsollah Ghanbari, and Ahmed J. Obaid

Subjects
multicast routing, multimodal transportation, data envelopment analysis, decision-making unit, markovian decision process, Iraq transportation network, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
Abstract

In the context of Iraq’s evolving transportation landscape and the strategic implications of the Belt and Road Initiative, this study pioneers a comprehensive framework for optimizing multimodal transportation systems. The study implemented a decision-making framework for multimodal transportation, combining data envelopment analysis (DEA) efficiency scores and a Markov decision process (MDP) to optimize transportation strategies. The DEA scores captured decision-making unit (DMU) performance in various aspects, while the MDP rewards facilitated strategic mode selection, promoting efficiency, cost-effectiveness, and environmental considerations. Although our method incurs a total cost approximately 29% higher than MRMQoS, it delivers a nearly 26% reduction in delay compared to MCSTM. Despite MRMQoS yielding an 8.3% higher profit than our approach, our proposed scheme exhibits an 11.7% higher profit compared to MCSTM. In terms of computational time, our method achieves an average CPU time positioned between MCSTM and MRMQoS, with MCSTM showing about 1.6% better CPU time than our approach, while our method displays a 9.5% improvement in computational time compared to MRMQoS. Additionally, concerning CO2 emissions, the proposed model consistently outperforms other models across various network sizes. The percentage decrease in CO2 emissions achieved by the proposed model is 7.26% and 31.25% when compared against MRMQoS and MCSTM for a network size of 25, respectively.

Published
2024
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180. Using Symmetric Group to Generate Dynamic S-box

Author

Alghurabi, Kareem Abbas, Obaid, Ahmed J., Alkhayyat, Heyam K., Abdulabbas, Yahya M., Albermany, Salah A., Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Kumar, Ashwani, editor, Fister Jr., Iztok, editor, Gupta, P. K., editor, Debayle, Johan, editor, Zhang, Zuopeng Justin, editor, and Usman, Mohammed, editor

Published
2022
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181. Testing and Integration Method Utilization for Restricted Software Development

Author

Obaid, Ahmed J., Abdulbaqi, Azmi Shawkat, Hadi, Hayder Sabeeh, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Kumar, Ashwani, editor, Fister Jr., Iztok, editor, Gupta, P. K., editor, Debayle, Johan, editor, Zhang, Zuopeng Justin, editor, and Usman, Mohammed, editor

Published
2022
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183. Synchronization of a Modified Colpitts Oscillator with Triangular Wave Non-linearity on Graph

Author

Rasappan, Suresh, Kumar, K. A. Niranjan, Devi, R. Narmada, Obaid, Ahmed J., Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Peng, Sheng-Lung, editor, Lin, Cheng-Kuan, editor, and Pal, Souvik, editor

Published
2022
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184. Novel on Digital Neutrosophic Topological Spaces

Author

Narmada Devi, R., Rasappan, Suresh, Obaid, Ahmed J., Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Peng, Sheng-Lung, editor, Lin, Cheng-Kuan, editor, and Pal, Souvik, editor

Published
2022
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185. An Approach for an Intelligent Lithium-Ion Battery Management System with Active Balancing

Author

Abdul-jabbar, Thealfaqar A., Obed, Adel A., Abid, Ahmed J., Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Mallick, Pradeep Kumar, editor, Bhoi, Akash Kumar, editor, González-Briones, Alfonso, editor, and Pattnaik, Prasant Kumar, editor

Published
2022
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186. Automated Diagnosis of COVID-19 Using Squeeze Net Architecture Based on Deep Learning

Author

Syed Nizamudeen Ahmed, J., Mohamed Sathik, M., Nallaperumal, Krishnan, Kaliaperumal, Senthamarai Kannan, Parasuraman, Kumar, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Marriwala, N., editor, Tripathi, C. C., editor, Jain, Shruti, editor, and Mathapathi, Shivakumar, editor

Published
2022
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188. Data Mining Analysis Models Based on Prospective Detection of Infectious Disease

Author

Obaid, Ahmed J., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Sharma, Devendra Kumar, editor, Peng, Sheng-Lung, editor, Sharma, Rohit, editor, and Zaitsev, Dmitry A., editor

Published
2022
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189. SIoT (Social Internet of Things): A Review

Author

Shahab, Saima, Agarwal, Parul, Mufti, Tabish, Obaid, Ahmed J., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Fong, Simon, editor, Dey, Nilanjan, editor, and Joshi, Amit, editor

Published
2022
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190. Short-term Forecasting of COVID-19

Author

Mukhairez, Hosam H. A., Alaff, Ahmed J. I., Chatterjee, Prasenjit, Series Editor, Awasthi, Anjali, Series Editor, Tiwari, Manoj Kumar, Series Editor, Chakraborty, Shankar, Series Editor, Yazdani, Morteza, Series Editor, Kose, Utku, editor, Watada, Junzo, editor, Deperlioglu, Omer, editor, and Marmolejo Saucedo, Jose Antonio, editor

Published
2022
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191. Twisted Conjugation on Connected Simple Lie Groups and Twining Characters

Author

Zerouali, Ahmed J.

Subjects
Mathematics - Representation Theory, Mathematics - Differential Geometry
Abstract

This article discusses the twisted adjoint action $\mathrm{Ad}_{g}^{\kappa}:G\rightarrow G$, $x\mapsto gx\kappa(g^{-1})$ given by a Dynkin diagram automorphism $\kappa\in\mathrm{Aut}(G)$, where $G$ is compact, connected, simply connected and simple. The first aim is to recover the classification of $\kappa$-twisted conjugacy classes by elementary means, without invoking the non-connected group $G\rtimes\langle\kappa\rangle$. The second objective is to highlight several properties of the so-called \textit{twining characters} $\tilde{\chi}^{(\kappa)}:G\rightarrow\mathbb{C}$, as defined by Fuchs, Schellekens and Schweigert. These class functions generalize the usual characters, and define $\kappa$-twisted versions $\tilde{R}^{(\kappa)}(G)$ and $\tilde{R}_{k}^{(\kappa)}(G)$ ($k\in\mathbb{Z}_{>0}$) of the representation and fusion rings associated to $G$. In particular, the latter are shown to be isomorphic to the representation and fusion rings of the \textit{orbit Lie group} $G_{(\kappa)}$, a simply connected group obtained from $\kappa$ and the root data of $G$., Comment: 27 pages, 1 figure

Published
2018

194. Contributors

Author

Abu Al-Haija, Qasem, primary, Adalarasu, K., additional, Adamović, Saša, additional, Ahmed, Nuredin, additional, Alnabhan, Mohammad, additional, Al-Omari, Mohammad, additional, Anamalamudi, Satish, additional, Arunkumar, T., additional, Bahalul Haque, A.K.M., additional, Benson, Jimmy Adebesin, additional, Bhushan, Bharat, additional, Chaganti, Raj, additional, Chibuzor, Linda, additional, Enduri, Murali Krishna, additional, Gnjatović, Milan, additional, Gudapati, Sai Sri Vineeth, additional, Hajarathaiah, Koduru, additional, Jagannath, M., additional, Kakandwar, Saumya, additional, Kalita, Saptadeepa, additional, Kevric, Jasmin, additional, Kumar, Avinash, additional, Lavanya, H.M., additional, Maček, Nemanja, additional, Nehinbe, Joshua Ojo, additional, Obaid, Ahmed J., additional, Pavlović, Nikola, additional, Radovanović, Dalibor, additional, Rahimi, Nick, additional, Rayan, Rehab A., additional, Saleh, Eyad, additional, Sangi, Abdur Rashid, additional, Šarac, Marko, additional, Saračević, Muzafer, additional, Shaari, Hala, additional, Sharma, Deepak, additional, Sharma, Sudhir Kumar, additional, Shristi, Sonal, additional, Soufiene, Ben Othman, additional, Tsagkaris, Christos, additional, Varsha, S., additional, Vukobrat, Nikola, additional, and Zafar, Imran, additional

Published
2023
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