45,691 results on '"Nassar A"'
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2. Association of Angiotensin Converting Enzyme (insertion\deletion) and Angiotensin II Type 1 Receptor (A1166C) gene polymorphisms with diabetic nephropathy in Iraqi type 2 diabetic patients
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Ansam Abdulameer Yahya, Dheyaa Jabbar, and Nassar Abdalaema Abdalhadi
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Pharmacy and materia medica ,RS1-441 - Abstract
Renin-angiotensin-aldosterone system abnormalities are the most prevalent cause of renal hemodynamic abnormalities, and candidate genes in this system are involved in the etiology of diabetic nephropathy (DN). A polymorphism in the angiotensin converting enzyme (ACE) gene I(insertion)\D(deletion) has been correlated to plasma ACE levels. Furthermore, the Angiotensin II Type 1 Receptor AGT1R (A1166C) expression pattern is highly related to nephropathy. The objectives of this study involved evaluating the frequency of the ACE (I/D) and AGT1R (A1166C) gene polymorphisms and investigating the association of these polymorphism with the development of DN in Iraqi patients with Type 2 diabetes mellitus (T2DM) and evaluating the levels of several urinary and serum markers in relation to studied polymorphisms. This is a cross-sectional study that included 161 T2DM patients whom were divided into two groups: T2DM with DN(included 98 patients) and normalbuminuric T2DM (included 63 patients). ACE gene polymorphism analysis revealed that the D allele was far more prevalent in DN patients compared to normalbuminuric patients (60.2% vs. 50.8%), while the I allele frequency was 39.8% in DN and 49.2% in normoalbuminuric patients. In addition, DN patients carrying the DD genotype had higher serum kidney injury molecule 1 (KIM1), serum cystatin C (CysC), and HbA1C and lower glomerular filtration rate (GFR) compared to ID+II genotypes. For AGT1R (A1166C), both DN and normalbuminuric patients had a comparable high prevalence of the AA genotype, followed by the AC genotype, while the CC genotype had been seen only in 3 patients. In conclusion, among the studied T2DM patients, individuals with DD genotype had higher frequency of DN and had 2-fold risk for DN compared to II genotype which had the lowest risk for DN. Also the current study shows that the A1166C polymorphisms of AGT1R distribution frequency were similar for both study groups with higher frequency for A allele compared to C allele and not associated with risk of DN in Iraqi T2DM Keywords: Angiotensin Converting Enzyme (I\D) gene polymorphism, Angiotensin II Type 1 Receptor (A166C) gene polymorphisms, Cystatin C, Diabetic nephropathy, Kidney injury molecule1.
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- 2024
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3. The prevalence of nutritional status and obesity in adolescents in Babylon Province, Iraq
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Nihad Abdallah Selman, Ashraf M A Hussain, and Nassar Abdalaema Abdalhadi Mera
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adolescent ,bmi ,malnutrition ,obesity ,overweight ,underweight ,Medicine - Abstract
Background:Obesity is a chronic disease characterized by excessive fat accumulation that can lead to different complications.Objectives:However, identifying the prevalence of nutritional status and obesity in adolescents in Babylon governorate and searching for the relationship with different factors constitute the main objectives of this study.Materials and Methods:This study was cross-sectional study curried on 500 high school students aged between 16 and 19 years. Among them, half of them were female students. Study period was between February and June 2022; weight and height were measured to each participant to calculate body mass index (BMI) and they were requested to fill a questionnaire to identify any risk factor relation-ship.Results:Out of all, 14.2% were underweight, 55.4% were normal weight, 20.4% were overweight and 10% obese adolescents. There was a significant relationship between BMI from one hand and male gender, living in rural areas, high family income and soft drink (beverage consumption per week) on the other hand.Conclusion:The prevalence of overweight and obesity was around than one third (20.4% + 10% = 30.4% collectively, whereas 14.2% were underweight out of all participants in this study).
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- 2024
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4. Co-administration of either curcumin or resveratrol with cisplatin treatment decreases hepatotoxicity in rats via anti-inflammatory and oxidative stress-apoptotic pathways
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Osama I. Ramadan, Lashin S. Ali, Fatma M. Abd-Allah, Rafik E. A. Ereba, Humeda S. Humeda, Ahmed A. Damanhory, Ahmed E. Moustafa, Amr M. Younes, Moaaz M. Y. Awad, and Nassar A. A. Omar
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Curcumin ,Resveratrol ,Cisplatin ,Anticancer ,Hepatotoxicity ,Medicine ,Biology (General) ,QH301-705.5 - Abstract
Background Cisplatin (CIS) is a broad-spectrum anticancer drug, with cytotoxic effects on either malignant or normal cells. We aimed to evaluate the hepatotoxicity in rats caused by CIS and its amelioration by the co-administration of either curcumin or resveratrol. Materials and Methods Forty adult male rats divided into four equal groups: (control group): rats were given a saline solution (0.9%) once intraperitoneally, daily for the next 28 days; (cisplatin group): rats were given a daily oral dose of saline solution (0.9%) for 28 days after receiving a single dose of cisplatin (3.3 mg/kg) intraperitoneally for three successive days; (CIS plus curcumin/resveratrol groups): rats received the same previous dose of cisplatin (3.3 mg/kg) daily for three successive days followed by oral administration of either curcumin/resveratrol solution at a dose of (20 mg/kg) or (10 mg/kg) consequently daily for 28 days. Different laboratory tests (ALT, AST, ALP, bilirubin, oxidative stress markers) and light microscopic investigations were done. Results Administration of CIS resulted in hepatotoxicity in the form of increased liver enzymes, oxidative stress markers; degenerative and apoptotic changes, the co-administration of CIS with either curcumin or resveratrol improved hepatotoxicity through improved microscopic structural changes, reduction in liver enzymes activity, decreased oxidative stress markers, improved degenerative, and apoptotic changes in liver tissues. Conclusion Co-administration of either curcumin or resveratrol with cisplatin treatment could ameliorate hepatotoxicity caused by cisplatin in rats via anti-inflammatory and oxidative stress-apoptotic pathways.
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- 2024
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5. High Antiparasitic and Antimicrobial Performance of Biosynthesized NiO Nanoparticles via Wasted Olive Leaf Extract
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Alghamdi SQ, Alotaibi NF, Al-Ghamdi SN, Alqarni LS, Amna T, Moustafa SMN, Alsohaimi IH, Alruwaili IA, and Nassar AM
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biosynthesis ,olive ,nio-np ,antiparasitic ,antimicrobial ,Medicine (General) ,R5-920 - Abstract
Samia Q Alghamdi,1 NF Alotaibi,2 Sameera N Al-Ghamdi,3 Laila S Alqarni,4 Touseef Amna,1 Shaima MN Moustafa,5 Ibrahim Hotan Alsohaimi,2 IA Alruwaili,2 AM Nassar2 1Department of Biology, Faculty of Science, Al-Baha University, Al-Baha, 65799 Saudi Arabia; 2Chemistry Department, College of Science, Jouf University, Sakaka, Saudi Arabia; 3Chemistry Department, Faculty of Science, Al-Baha University, Al-Baha, Saudi Arabia; 4Chemistry Department, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11623 Saudi Arabia; 5Biology Department, College of Science, Jouf University, Sakaka, Saudi ArabiaCorrespondence: AM Nassar, Jouf University, Sakaka, Aljouf, 2014, Saudi Arabia, Tel +966555978016, Email amnassar@ju.edu.saBackground: Nowadays, recycling agricultural waste is of the utmost importance in the world for the production of valuable bioactive compounds and environmental protection. Olive leaf bioactive compounds have a significant potential impact on the pharmaceutical industry. These compounds possess remarkable biological characteristics, including antimicrobial, antiviral, anti-inflammatory, hypoglycemic, and antioxidant properties.Methods: The present study demonstrates a green synthetic approach for the fabrication of nickel oxide nanoparticles (NiO-olive) using aqueous wasted olive leaf extract. Calcination of NiO-olive at 500°C led to the fabrication of pure NiO nanoparticles (NiO-pure). Different techniques, such as thermal gravimetric analysis (TGA), Fourier-transform infrared spectra (FTIR), ultraviolet-visible spectra (UV-Vis), X-ray diffraction (XRD), scanning electron microscopy (SEM) fitted with energy-dispersive X-ray analysis (EDX), and transmission electron microscopy (TEM), were used to characterize both NiO-olive and NiO-pure. The extract and nanoparticles were assessed for antiparasitic activity against adult ticks (Hyalomma dromedarii) and antimicrobial activity against Bacillus cereus, Pseudomonas aeruginosa, Aspergillus niger, and Candida albicans.Results: From XRD, the crystal sizes of NiO-olive and NiO-pure were 32.94 nm and 13.85 nm, respectively. TGA, FTIR, and EDX showed the presence of olive organic residues in NiO-olive and their absence in NiO-pure. SEM and TEM showed an asymmetrical structure of NiO-olive and a regular, semi-spherical structure of NiO-pure. UV–Vis spectra showed surface plasmon resonance of NPs. Antiparasitic activity showed the highest mortality rate of 95% observed at a concentration of 0.06 mg/mL after four days of incubation. The antimicrobial activity showed the largest inhibition zone diameter of 33 ± 0.2 mm against the Candida albicans strain.Conclusion: Nanoparticles of NiO-olive outperformed nanoparticles of NiO-pure and olive leaf extract in both antiparasitic and antimicrobial tests. These findings imply that NiO-olive may be widely used as an eco-friendly and effective antiparasitic and disinfection of sewage.Keywords: biosynthesis, olive, NiO-NP, antiparasitic, antimicrobial]
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- 2024
6. Searching for the viability of using thorium-based accident-tolerant fuel for VVER-1200
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Mohamed Y.M. Mohsen, Mohamed A.E. Abdel-Rahman, Ahmed Omar, Nassar Alnassar, and A. Abdelghafar Galahom
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Accident-tolerant fuel ,Thorium-based fuel ,VVER-1200 ,Carbide fuel ,Nitride fuel ,Nuclear engineering. Atomic power ,TK9001-9401 - Abstract
This study explores the feasibility of employing (U, Th)-based accident tolerant fuels (ATFs), specifically (0.8UO2, 0.2ThO2), (0.8UN, 0.2ThN), and (0.8UC, 0.2ThC). The investigation assesses the overall performance of these proposed fuel materials in comparison to the conventional UO2, focusing on deep neutronic and thermal-hydraulic (Th) analyses. Neutronic analysis utilized the MCNPX code, while COMSOL Multiphysics was employed for thermal-hydraulic analysis. The primary objective of this research is to overcome the limitations associated with traditional UO2 fuel by exploring alternative fuel materials that offer advantages in terms of abundance and potential improvements in performance and safety. Given the limited abundance of UO2, long-term sustainable nuclear energy production faces challenges. From a neutronic standpoint, the U–Th based fuels demonstrated remarkable fuel cycle lengths, except (0.8UN, 0.2ThN), which exhibited the minimum fuel cycle length and, consequently, the lowest fuel burn-up. Regarding thermal-hydraulic performance, (0.8UN, 0.2ThN) exhibited outstanding performance with significant margins against fuel melting compared to the other materials. Overall, when considering the integrated performance, the most favourable results were obtained with the use of the (0.8UC, 0.2ThC) fuel configurations. This study contributes valuable insights into the potential benefits of (U, Th)-based ATFs as a promising avenue for enhanced nuclear fuel performance.
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- 2024
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7. Kidney injury molecule-1 and cystatin C as early biomarkers for renal dysfunction in Iraqi type 2 diabetes mellitus patients
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Ansam Abdulameer Yahya, Dheyaa Jabbar Kadhim, and Nassar Abdalaema Abdalhadi
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diabetic kidney disease(dkd) ,kidney injury molecule-1 (kim-1) ,cystatin c(cysc) ,Biotechnology ,TP248.13-248.65 - Abstract
Diabetic kidney disease (DKD) is caused by a variety of processes. As a result, one biomarker is insufficient to represent the complete process. This study Evaluate the diagnostic value of serum kidney injury molecule-1(KIM-1) and cystatin C (CysC) as early biochemical markers of DKD and predictive their sensitivities and specificities as biomarkers of nephropathy in Iraqi type 2 diabetic (T2DM) patients. This cross-sectional study include 161 T2DM patients from Diabetes and Endocrinology Center at Merjan medical city in Babylon. Patients divided according to urinary albumin creatinine ratio(ACR) (Group1:ACR≤30mg/g,Group2:ACR>30mg/g). Random spot urine and fasting blood samples were taken from each patient and urinary ACR, blood glycated hemoglobin(HbA1c), and serum glucose, creatinine(SCr), lipid profile, CysC, KIM-1 were assayed, and the estimated glomerular filtration rat (eGFR) was calculated. When compared to the normoalbuminuric group, the DKD group had significantly greater prevalence of retinopathy, and significantly elevated HbA1c and total cholesterol values. Also had significantly greater serum levels of KIM-1 and CysC, and there is a significant (P-value< 0.01) positive correlation between them. In contrast, GFR was significantly higher in normoalbuminuric group and was significantly negatively correlated with both CysC and KIM-1. Multiple linear regression analysis, found that there were a significant positive association between CysC, KIM-1 and ACR. ROC analysis reveal that eGFR had the highest area under the curve(AUC=0.717), while SCr had the lowest AUC(0.556). In conclusion, Serum KIM-1 and CysC levels consider as early biomarker for DKD along with eGFR that consider the best diagnostic indicator of DKD, Additionally, there is a strong correlation between serum CysC and KIM-1 as well as other renal measures that indicate deteriorating kidney function. [ J Adv Biotechnol Exp Ther 2023; 6(3.000): 673-685]
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- 2023
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8. Some applications of fixed point results for monotone multivalued and integral type contractive mappings
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Nassar Aiman Majid, Alaa AL Jumaili, Zhen Chuan Ng, and See Keong Lee
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Partially ordered D ∗ $D^{*}$ -metric spaces ,Upper semicontinuous ,Integral form contraction ,Generalized weakly contractive condition ,Monotone multivalued functions ,Coupled fixed point ,Applied mathematics. Quantitative methods ,T57-57.97 ,Analysis ,QA299.6-433 - Abstract
Abstract The motivation of the present paper is to introduce and establish some new fixed point results for monotone multivalued functions in partially ordered complete D ∗ $D^{*}$ -metric spaces, where the partial ordered set ( X , ≤ ) $(X,\leq )$ is obtained via a pair of functions ( ϒ , Ω ) $( \Upsilon,\Omega )$ . Moreover, several existence and uniqueness coupled fixed point theorems of mappings satisfying contractive conditions have been investigated and verified in the setting of partially ordered complete D ∗ $D^{*}$ -metric spaces by using the concept of integral type contractions with respect to partially ordered D ∗ $D^{*}$ -metric space. Furthermore, we present appropriate examples as an application for our main results. Our results generalize the work of Ghasab, Majani, and Rad on the study of integral type contraction and coupled fixed point theorems in the ordered G-metric spaces.
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- 2023
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9. Synthesis of silver nanoparticles from marine bacteria and evaluation of antimicrobial, antifungal and cytotoxic effects
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Nisha Pallath, Bismimol Francis, Sandhanasamy Devanesan, Nassar Asemi, Mohamad S AlSalhi, and Srinivasaprabhu Natarajan
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AgNPs ,Pigment-producing marine bacteria ,Planococcus maritimus ,Antimicrobial ,Antifungal ,Cytotoxicity ,Science (General) ,Q1-390 - Abstract
Background: Marine bacteria, a relatively untapped resource, have shown potential for synthesizing nanoparticles with distinct properties. Methods: The AgNPs were synthesized by using the marine bacteria Planococcus maritimus MBP-2 as a reducing and capping agent. The nanoparticles produced were characterized by UV–Vis spectroscopy, TEM and FTIR. The Planococcus maritimus MBP-2 synthesized AgNPs adhered antibacterial activity against selected both gram-negative and gram-positive bacteria such as Staphylococcus aureus, Bacillus cereus, Escherichia coli, Pseudomonas aeruginosa, Klebsiella pneumonia, and antifungal such Aspergillus niger, Aspergillus flavus, Penicillium commune and Penicillium digitatum. and the cytotoxic effect of Dalton’s Lymphoma Ascites (DLA) cell lines. Results: The formation of AgNPs by bacteria was confirmed visually by a shift in color of the solution and the presence of UV-absorption maxima at 440 nm. The TEM images revealed spherical and cubic structures, with an average size of 24.9 nm. FTIR analysis confirmed the presence of some functional groups by showing peaks at 3330 and 1636 cm−1. The AgNPs exhibited minimal antibacterial activity except P. aeruginosa. (11 mm). Whereas, inhibiting the growth of the fungi belonging to genus Aspergillus than to Penicillium. Also, in vitro cytotoxicity of AgNPs was evaluated using Dalton’s Lymphoma Ascites (DLA) cell lines. The percentage of cell death was maximum (95.4 ± 2.16) at 20 µg/mL, indicating an excellent cytotoxic efficiency of AgNPs against DLA cells from the peritoneal cavity of the tumor-bearing mouse. Conclusion: This study suggests that Planococcus maritimus MBP-2 bacteria-mediated AgNPs can effectively be used as a potential biomedical agent.
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- 2024
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10. New Results of Fixed-Point Theorems and Their Applications in Complete Complex Dc∗-Metric Spaces
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Nassar Aiman Majid, Alaa. M. F. AL. Jumaili, Zhen Chuan Ng, and See Keong Lee
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Mathematics ,QA1-939 - Abstract
The first objective of the present manuscript is to introduce the notion of complex-valued Dc∗-metric spaces as generalizing and improving the idea of D∗-metric spaces by using the context of complex-valued metric space and D∗-metric spaces. The principle of contraction mappings has recently been established. Furthermore, the second objective is devoted to establishing various new fixed-point theorems in complete complex-valued Dc∗-metric spaces that are improved and generalized by Azam et al. Banach’s contraction principle and various distinguished outcomes are also presented in the literatures. Additionally, some implementations of common fixed-point theory on complete complex-valued Dc∗-metric spaces have been offered by applying open and closed balls. Additionally, we provide some illustrative examples as an implementation for our main results.
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- 2024
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11. Fabrication, Structural Characterization, and Photon Attenuation Efficiency Investigation of Polymer-Based Composites
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Sitah F. Alanazi, Norah M. Alotaibi, Mohammed Alsuhybani, Nassar Alnassar, Fahad I. Almasoud, and Mansour Almurayshid
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polymers ,HDPE ,X-ray shielding ,silicon nanoparticles ,radiation protection ,Organic chemistry ,QD241-441 - Abstract
Experiments have assessed various polymer composites for radiation shielding in diverse applications. These composites are lighter and non-toxic when compared to lead (Pb), making them particularly effective in diagnostic imaging for shielding against low-energy photons. This study demonstrates the fabrication of four composites by combining a base material, specifically a high-density polyethylene (HDPE) polymer, with 10% and 20% silicon (Si) and silicon carbide (SiC), respectively. Additionally, 5% molybdenum (Mo) was incorporated into the composites as a heavy metal element. The composites obtained were fabricated into 20 disks with a uniform thickness of 2 mm each. Discs were exposed to radiation from a low-energy X-ray source (32.5–64.5 keV). The chemical and physical properties of composites were assessed. The shielding ability of samples was evaluated by determining the linear and mass attenuation coefficients (μ and μm), radiation protection efficiency (RPE), half-value layer (HVL), and mean free path (MFP). According to our findings, supplementing HDPE with additives improved the attenuation of beams. The μm values showed that composite X-ray shielding characteristics were enhanced with filler concentration for both Si and SiC. Polymer composites with micro-molecule fillers shelter X-rays better than polymers, especially at low energy. The HVL and MFB values of the filler are lower than those of the pure HDPE sample, indicating that less thickness is needed to shield at the appropriate energy. HC-20 blocked 92% of the incident beam at 32.5 keV. This study found that increasing the composite sample thickness or polymer filler percentage could shield against low-energy radiation.
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- 2024
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12. Immunostimulatory and anti-inflammatory impact of Fragaria ananassa methanol extract in a rat model of cadmium chloride-induced pulmonary toxicity
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Amany E. Nofal, Hind S. AboShabaan, Reda M. Fayyad, Rafik E. Ereba, Nassar A. Omar, Sherin M. Elsharkawy, and Aya I. Elberri
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Ashcroft scoring ,chromatographic analysis ,immunomodulatory ,NF-κB ,Nrf2 ,oxidative stress ,Immunologic diseases. Allergy ,RC581-607 - Abstract
Cadmium is an extremely dangerous heavy metal that can lead to disastrous consequences in all organisms. Several natural remedies reduce the toxicities of experimentally generated metals in animals. Strawberry Fragaria ananassa contains several bioactive compounds that may mitigate heavy-metal toxicity. The study aim was to evaluate the ability of a strawberry fruit methanol extract (SE) to reduce Cd toxicity and to identify and quantify the active constituents of SE. Forty Wistar rats were classified into four groups: the control group– 1 ml saline IP; SE group– 100 mg of SE/kg rats orally; cadmium (Cd) group–2 mg CdCl2/kg body weight/IP daily; and treated group– SE given 1 hour before Cd administration. Administration of Cd induced several histopathological and immunohistochemical alterations in lung sections. Biochemical analysis of lung homogenates and mRNA levels of antioxidants and inflammatory cytokines indicated significant changes to the risk profile. SE administration significantly decreased the oxidative stress, inflammation, tissue damage, the mean area percentage of collagen fibers, and positive immuno-expressions of TNF-α and NF-κB induced by CdCl2. Moreover, the MDA, TNF-α, GM-CSF, and IL-1β levels in Cd-exposed rat lung tissue were significantly lower in the SE-treated group than in the Cd-group. SE significantly augmented lung GSH, SOD, HO‐1, GPx-2, and Nrf2 levels in Cd-exposed rats. SE mitigated Cd-caused oxidative stress and lung inflammation. Therefore, regularly consuming a strawberry-rich diet could benefit general health and help prevent and treat diseases.
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- 2023
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13. Blackboard in Dental Education: Educators’ Perspectives During the COVID-19 Pandemic: A Qualitative Study
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Nassar AA and Rajeh MT
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blackboard ,dentistry ,e-learning ,faculty members ,qualitative study ,Special aspects of education ,LC8-6691 ,Medicine (General) ,R5-920 - Abstract
Afnan A Nassar,1 Mona T Rajeh2 1Department of Preventive Dentistry, Faculty of Dentistry, Umm Al Qura University, Makkah, Saudi Arabia; 2Department of Dental Public Health, Faculty of Dentistry, King Abdulaziz University, Jeddah, Saudi ArabiaCorrespondence: Afnan A Nassar, Department of Preventive Dentistry, Faculty of Dentistry, Umm Al Qura University, Makkah, Saudi Arabia, Tel +966 506378234, Email aanassar@uqu.edu.saIntroduction: E-learning systems play a vital role in education during the COVID-19 pandemic. These systems allow educators to plan, deliver, and follow up on the education process during the closure of universities and schools. This study aims to report the experiences of dental faculty members using the Blackboard system.Methods: The study used a descriptive qualitative design. Data were collected from staff members at the Dental Faculty of Umm Al Qura University through semi-structured focus group discussions that were audio-recorded and transcribed verbatim for thematic content analysis.Results: The analysis revealed three barriers: (1) pedagogical, (2) technical, and (3) individual. For the advantages, three themes emerged: (1) ease of use, (2) ongoing support, and (3) usefulness. Most participants were satisfied with using Blackboard and believed it to be a valuable and complementary educational tool in dentistry.Conclusion: The reported experiences and recommendations are helpful for university leaders, policymakers, and program designers in improving the quality of e-learning in the future.Keywords: Blackboard, dentistry, e-learning, faculty members, qualitative study
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- 2022
14. Gephyrin and CYP2C9 Genetic Polymorphisms in Patients with Pharmacoresistant Epilepsy
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El-Tallawy HN, Abuhamdah S, Nassar AY, Farghaly WMA, Saleem TH, Atta SA, Sayed AA, Tohamy AM, and Hassan MH
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pharmacoresistant epilepsy ,rs928553t/c ,rs12782374g/a ,real time-pcr ,Therapeutics. Pharmacology ,RM1-950 - Abstract
Hamdy N El-Tallawy,1 Sawsan Abuhamdah,2,3 Ahmed Y Nassar,4 Wafaa MA Farghaly,1 Tahia H Saleem,4 Sara A Atta,4 Ayat A Sayed,4 Amal M Tohamy,1 Mohammed H Hassan5 1Department of Neurology and Psychiatry, Faculty of Medicine, Assiut University, Assiut, Egypt; 2Department of Pharmaceutical Sciences, College of Pharmacy, Al Ain University, Abu Dhabi, United Arab Emirates; 3Department of Biopharmaceutics and Clinical Pharmacy, Faculty of Pharmacy, University of Jordan, Amman, Jordan; 4Department of Medical Biochemistry, Faculty of Medicine, Assiut University, Assiut, Egypt; 5Department of Medical Biochemistry, Faculty of Medicine, South Valley University, Qena, 83523, EgyptCorrespondence: Mohammed H Hassan Email mohammedhosnyhassaan@med.svu.edu.egPurpose: Gephyrin (GPHN) is an essential protein in the regulation of inhibitory postsynaptic density and polymorphism in the corresponding gene may have a role in the development of pharmacoresistant epilepsy (PRE). For the first time, we aimed to evaluate the association of rs928553T/C variants with PRE susceptibility. Moreover, we have analyzed the genetic polymorphism affecting CYP2C9 “rs12782374G/A” in the same population to detect the effect of SNP on the drug-metabolizing ability of patients with PRE.Patients and Methods: This case-control study enrolled 100 patients (group A) and 100 healthy, age and sex-matched controls, unrelated to patients (group B). TaqMan™ assays using real-time PCR were run for genotyping of rs928553T/C and rs12782374G/A in all participants.Results: GPHN T>C polymorphism revealed significant risk association with occurrence of PRE using dominant, recessive and codominant models as follows: TT vs (TC+CC): OR 0.23, 95%CI: 0.13– 0.43, P< 0.001. In addition, (TT+TC vs CC): OR 0.38, 95%CI: 0.18– 0.77, P< 0.001. Also, T vs C (OR 0.34, 95%CI: 0.22– 0.51, P=< 0.001). Similarly, CYP2C9 G>A polymorphism showed a significant increased risk of PRE (GG vs (GA+AA): OR 0.11, 95%CI: 0.05– 0.23, P< 0.001). Furthermore, (GG+GA vs AA): OR 0.18, 95%CI: 0.084– 0.39, P< 0.001. Also, G vs A (OR 0.24, 95%CI: 0.15– 0.366, P=< 0.001).Conclusion: Mutation of both GPHN (rs928553) and CYP2C9 (rs1278237) genes may be implicated as a genetic mediators of resistance in patients with PRE.Keywords: pharmacoresistant epilepsy, rs928553T/C, rs12782374G/A, real time-PCR
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- 2021
15. Hacking the Fabric: Targeting Partial Reconfiguration for Fault Injection in FPGA Fabrics
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Chaudhuri, Jayeeta, Nassar, Hassan, Gnad, Dennis R. E., Henkel, Jorg, Tahoori, Mehdi B., and Chakrabarty, Krishnendu
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Computer Science - Cryptography and Security - Abstract
FPGAs are now ubiquitous in cloud computing infrastructures and reconfigurable system-on-chip, particularly for AI acceleration. Major cloud service providers such as Amazon and Microsoft are increasingly incorporating FPGAs for specialized compute-intensive tasks within their data centers. The availability of FPGAs in cloud data centers has opened up new opportunities for users to improve application performance by implementing customizable hardware accelerators directly on the FPGA fabric. However, the virtualization and sharing of FPGA resources among multiple users open up new security risks and threats. We present a novel fault attack methodology capable of causing persistent fault injections in partial bitstreams during the process of FPGA reconfiguration. This attack leverages power-wasters and is timed to inject faults into bitstreams as they are being loaded onto the FPGA through the reconfiguration manager, without needing to remain active throughout the entire reconfiguration process. Our experiments, conducted on a Pynq FPGA setup, demonstrate the feasibility of this attack on various partial application bitstreams, such as a neural network accelerator unit and a signal processing accelerator unit., Comment: Accepted for presentation in the 2024 IEEE Asian Test Symposium (ATS)
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- 2024
16. Meta-Dynamical State Space Models for Integrative Neural Data Analysis
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Vermani, Ayesha, Nassar, Josue, Jeon, Hyungju, Dowling, Matthew, and Park, Il Memming
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Statistics - Machine Learning ,Computer Science - Machine Learning ,Quantitative Biology - Neurons and Cognition - Abstract
Learning shared structure across environments facilitates rapid learning and adaptive behavior in neural systems. This has been widely demonstrated and applied in machine learning to train models that are capable of generalizing to novel settings. However, there has been limited work exploiting the shared structure in neural activity during similar tasks for learning latent dynamics from neural recordings. Existing approaches are designed to infer dynamics from a single dataset and cannot be readily adapted to account for statistical heterogeneities across recordings. In this work, we hypothesize that similar tasks admit a corresponding family of related solutions and propose a novel approach for meta-learning this solution space from task-related neural activity of trained animals. Specifically, we capture the variabilities across recordings on a low-dimensional manifold which concisely parametrizes this family of dynamics, thereby facilitating rapid learning of latent dynamics given new recordings. We demonstrate the efficacy of our approach on few-shot reconstruction and forecasting of synthetic dynamical systems, and neural recordings from the motor cortex during different arm reaching tasks.
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- 2024
17. Data-Prep-Kit: getting your data ready for LLM application development
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Wood, David, Lublinsky, Boris, Roytman, Alexy, Singh, Shivdeep, Adam, Constantin, Adebayo, Abdulhamid, An, Sungeun, Chang, Yuan Chi, Dang, Xuan-Hong, Desai, Nirmit, Dolfi, Michele, Emami-Gohari, Hajar, Eres, Revital, Goto, Takuya, Joshi, Dhiraj, Koyfman, Yan, Nassar, Mohammad, Patel, Hima, Selvam, Paramesvaran, Shah, Yousaf, Surendran, Saptha, Tsuzuku, Daiki, Zerfos, Petros, and Daijavad, Shahrokh
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Computer Science - Artificial Intelligence ,Computer Science - Computation and Language ,Computer Science - Machine Learning - Abstract
Data preparation is the first and a very important step towards any Large Language Model (LLM) development. This paper introduces an easy-to-use, extensible, and scale-flexible open-source data preparation toolkit called Data Prep Kit (DPK). DPK is architected and designed to enable users to scale their data preparation to their needs. With DPK they can prepare data on a local machine or effortlessly scale to run on a cluster with thousands of CPU Cores. DPK comes with a highly scalable, yet extensible set of modules that transform natural language and code data. If the user needs additional transforms, they can be easily developed using extensive DPK support for transform creation. These modules can be used independently or pipelined to perform a series of operations. In this paper, we describe DPK architecture and show its performance from a small scale to a very large number of CPUs. The modules from DPK have been used for the preparation of Granite Models [1] [2]. We believe DPK is a valuable contribution to the AI community to easily prepare data to enhance the performance of their LLM models or to fine-tune models with Retrieval-Augmented Generation (RAG)., Comment: 10 pages, 7 figures
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- 2024
18. Real-Time Machine Learning Strategies for a New Kind of Neuroscience Experiments
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Vermani, Ayesha, Dowling, Matthew, Jeon, Hyungju, Jordan, Ian, Nassar, Josue, Bernaerts, Yves, Zhao, Yuan, Van Vaerenbergh, Steven, and Park, Il Memming
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Quantitative Biology - Neurons and Cognition - Abstract
Function and dysfunctions of neural systems are tied to the temporal evolution of neural states. The current limitations in showing their causal role stem largely from the absence of tools capable of probing the brain's internal state in real-time. This gap restricts the scope of experiments vital for advancing both fundamental and clinical neuroscience. Recent advances in real-time machine learning technologies, particularly in analyzing neural time series as nonlinear stochastic dynamical systems, are beginning to bridge this gap. These technologies enable immediate interpretation of and interaction with neural systems, offering new insights into neural computation. However, several significant challenges remain. Issues such as slow convergence rates, high-dimensional data complexities, structured noise, non-identifiability, and a general lack of inductive biases tailored for neural dynamics are key hurdles. Overcoming these challenges is crucial for the full realization of real-time neural data analysis for the causal investigation of neural computation and advanced perturbation based brain machine interfaces. In this paper, we provide a comprehensive perspective on the current state of the field, focusing on these persistent issues and outlining potential paths forward. We emphasize the importance of large-scale integrative neuroscience initiatives and the role of meta-learning in overcoming these challenges. These approaches represent promising research directions that could redefine the landscape of neuroscience experiments and brain-machine interfaces, facilitating breakthroughs in understanding brain function, and treatment of neurological disorders., Comment: This article is accepted for publication in the 2024 European Signal Processing Conference (EUSIPCO)
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- 2024
19. Synthesis of Silver Nanoparticles by Leaf Extract of Cucumis melo L. and Their In Vitro Antidiabetic and Anticoccidial Activities
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Pushpa Rani, Naveen Kumar, Kantharaj Perinmbam, Sandhanasamy Devanesan, Mohamad S. AlSalhi, Nassar Asemi, and Marcello Nicoletti
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silver nanoparticles ,Cucumis melo ,diabetes ,coccidiosis ,α-amylase ,α-glucosidase ,Organic chemistry ,QD241-441 - Abstract
In this study, silver nanoparticles were synthesized using Cucumis melo L. leaf extract via a green synthesis approach and their potential against diabetes and coccidiosis was tested under in vitro conditions. The phytochemical components in the leaf extract reacted with silver nitrate in solution and yielded C. melo-silver nanoparticles (Cm-AgNPs). The synthesis of AgNPs was confirmed via UV–visible spectroscopy by obtaining a peak at 440 nm. The nanoparticles were characterized by their morphology, crystallinity, and the presence of functional groups. In vitro α-amylase and α-glucosidase inhibition assays were carried out at different concentrations in the range of 20 to 100 μg/mL of Cm-AgNPs. The Cm-AgNPs exhibited enzyme inhibitory activity in a concentration-dependent manner. As the concentration of Cm-AgNPs increased the inhibitory activities were also increased linearly and the highest inhibition was observed at 100 μg/mL. The effectiveness of Cm-AgNPs against Eimeria tenalla was assessed by an in vitro 3-(4,5-dimethylthiazolyl-2)-2,5-diphenyltetrazolium bromide (MTT) assay using Madin–Darby bovine kidney (MDBK) cell lines. The results revealed that the viability of the oocysts and further sporulation were decreased with the increased concentration of Cm-AgNPs. The AgNPs synthesized from the C. melo leaf extract have shown promising potential against diabetes and coccidiosis, and they could be used in biomedical applications.
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- 2023
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20. How periodic surfaces bend
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Nassar, Hussein
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Mathematics - Differential Geometry ,Condensed Matter - Soft Condensed Matter - Abstract
A periodic surface is one that is invariant by a 2D lattice of translations. Deformation modes that stretch the lattice without stretching the surface are effective membrane modes. Deformation modes that bend the lattice without stretching the surface are effective bending modes. For periodic, piecewise smooth, simply connected surfaces, it is shown that the effective membrane modes are, in a sense, orthogonal to effective bending modes. This means that if a surface gains a membrane mode, it loses a bending mode, and conversely, in such a way that the total number of modes, membrane and bending combined, can never exceed 3. Various examples, inspired from curved-crease origami tessellations, illustrate the results., Comment: 17 pages, 4 figures
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- 2024
21. Massively multiplexed nanoscale magnetometry with diamond quantum sensors
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Cheng, Kai-Hung, Kazi, Zeeshawn, Rovny, Jared, Zhang, Bichen, Nassar, Lila, Thompson, Jeff D., and de Leon, Nathalie P.
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Quantum Physics ,Condensed Matter - Mesoscale and Nanoscale Physics - Abstract
Single nitrogen vacancy (NV) centers in diamond have been used extensively for high-sensitivity nanoscale sensing, but conventional approaches use confocal microscopy to measure individual centers sequentially, limiting throughput and access to non-local physical properties. Here we design and implement a multiplexed NV sensing platform that allows us to read out many single NV centers simultaneously using a low-noise camera. Using this platform, we coherently manipulate and read out the spin states of hundreds of individual NV centers in parallel, achieving comparable magnetic field sensitivity to confocal measurements. We also implement a parallelized version of spin-to-charge-conversion readout for low NV center spin state readout noise and use it to demonstrate multiplexed covariance magnetometry, in which we measure six two-point magnetic field correlators from four NV centers simultaneously. The number of correlators we can measure is limited only by the available laser power, opening the door to massively multiplexed covariance magnetometry. Our platform significantly increases the throughput and broadens the applications of nanoscale sensing using diamond quantum sensors.
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- 2024
22. PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis
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Wu, Yan, Wershof, Esther, Schmon, Sebastian M, Nassar, Marcel, Osiński, Błażej, Eksi, Ridvan, Zhang, Kun, and Graepel, Thore
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Computer Science - Machine Learning ,Quantitative Biology - Genomics ,Statistics - Machine Learning - Abstract
We present a comprehensive framework for predicting the effects of perturbations in single cells, designed to standardize benchmarking in this rapidly evolving field. Our framework, PerturBench, includes a user-friendly platform, diverse datasets, metrics for fair model comparison, and detailed performance analysis. Extensive evaluations of published and baseline models reveal limitations like mode or posterior collapse, and underscore the importance of rank metrics that assess the ordering of perturbations alongside traditional measures like RMSE. Our findings show that simple models can outperform more complex approaches. This benchmarking exercise sets new standards for model evaluation, supports robust model development, and advances the potential of these models to use high-throughput and high-content genetic and chemical screens for disease target discovery., Comment: 9 pages plus 19 pages supplementary material. Code is available at https://github.com/altoslabs/perturbench
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- 2024
23. Docling Technical Report
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Auer, Christoph, Lysak, Maksym, Nassar, Ahmed, Dolfi, Michele, Livathinos, Nikolaos, Vagenas, Panos, Ramis, Cesar Berrospi, Omenetti, Matteo, Lindlbauer, Fabian, Dinkla, Kasper, Mishra, Lokesh, Kim, Yusik, Gupta, Shubham, de Lima, Rafael Teixeira, Weber, Valery, Morin, Lucas, Meijer, Ingmar, Kuropiatnyk, Viktor, and Staar, Peter W. J.
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Computer Science - Computation and Language ,Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Software Engineering - Abstract
This technical report introduces Docling, an easy to use, self-contained, MIT-licensed open-source package for PDF document conversion. It is powered by state-of-the-art specialized AI models for layout analysis (DocLayNet) and table structure recognition (TableFormer), and runs efficiently on commodity hardware in a small resource budget. The code interface allows for easy extensibility and addition of new features and models.
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- 2024
24. Exploiting Dialect Identification in Automatic Dialectal Text Normalization
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Alhafni, Bashar, Al-Towaity, Sarah, Fawzy, Ziyad, Nassar, Fatema, Eryani, Fadhl, Bouamor, Houda, and Habash, Nizar
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Computer Science - Computation and Language - Abstract
Dialectal Arabic is the primary spoken language used by native Arabic speakers in daily communication. The rise of social media platforms has notably expanded its use as a written language. However, Arabic dialects do not have standard orthographies. This, combined with the inherent noise in user-generated content on social media, presents a major challenge to NLP applications dealing with Dialectal Arabic. In this paper, we explore and report on the task of CODAfication, which aims to normalize Dialectal Arabic into the Conventional Orthography for Dialectal Arabic (CODA). We work with a unique parallel corpus of multiple Arabic dialects focusing on five major city dialects. We benchmark newly developed pretrained sequence-to-sequence models on the task of CODAfication. We further show that using dialect identification information improves the performance across all dialects. We make our code, data, and pretrained models publicly available., Comment: Accepted to ArabicNLP 2024, ACL
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- 2024
25. Affine Frequency Division Multiplexing for Compressed Sensing of Time-Varying Channels
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Benzine, Wissal, Bemani, Ali, Ksairi, Nassar, and Slock, Dirk
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Computer Science - Information Theory - Abstract
This paper addresses compressed sensing of linear time-varying (LTV) wireless propagation links under the assumption of double sparsity i.e., sparsity in both the delay and Doppler domains, using Affine Frequency Division Multiplexing (AFDM) measurements. By rigorously linking the double sparsity model to the hierarchical sparsity paradigm, a compressed sensing algorithm with recovery guarantees is proposed for extracting delay-Doppler profiles of LTV channels using AFDM. Through mathematical analysis and numerical results, the superiority of AFDM over other waveforms in terms of channel estimation overhead and minimal sampling rate requirements in sub-Nyquist radar applications is demonstrated., Comment: Accepted in SPAWC 2024
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- 2024
26. Comparative outcomes of systemic diseases in people with type 2 diabetes, or obesity alone treated with and without GLP-1 receptor agonists: a retrospective cohort study from the Global Collaborative Network: Author list:
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Nassar, Mahmoud, Nassar, Omar, Abosheaishaa, Hazem, and Misra, Anoop
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- 2024
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27. Multiple-drug resistant (MDR) tuberculosis among HIV sero-positive and sero-negative populations in Ilorin, North-Central Nigeria
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Abubakar A. Abdulazeez, Adeniran A. Margaret, Nassar A.Sulaiman, and Abdulazeez I. Abdulazeez
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multiple-drug resistant tuberculosis ,co-infection ,hiv ,nigeria ,Medicine ,Public aspects of medicine ,RA1-1270 - Abstract
Introduction: Multiple-drug resistant tuberculosis (MDR-Tb) has become a global issue especially in many African countries. Regular studies are needed to ascertain its early detection and elimination in the endemic regions in order to reduce the morbidity and mortality rates Objective: To assess the frequency of MDR-Tb among HIV sero-positive and sero-negative populations in Ilorin, North-Central Nigeria. Method: Sputum samples were collected from 1,601 subjects provisionally diagnosed with pulmonary tuberculosis (TB) at Sobi Specialist Hospital, Ilorin-Nigeria. Inclusion criteria were based on cough for at least three weeks with no response to antibiotics treatment or when the chest Xray indicated TB infection. From each patient, three specimens were obtained for Ziehl Neelsen staining and 4ml of blood were collected for HIV antibody testing. Results: The frequency of Acid Fast Bacilli (AFB) positive cases was 10.86% while 0.72% MDR-Tb and 3.2% concurrent infection with Mycobacterium tuberculosis and HIV were documented. Statistically, no significant association between age and MDR-Tb (X2=0.6731, P>0.05) was found. Conclusion: The study revealed 10.86% of AFB positive cases, 0.74% MDR-Tb cases, and 3.2% concurrent infection between Mycobacterium tuberculosis and HIV. We, therefore, recommend aggressive and effective control measures to prevent further transmission of MDR-Tb between patients and health care workers while increased access to ART for HIV infected MDR-TB patients is also suggested.
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- 2019
28. Efficient spline orthogonal basis for representation of density functions
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Burkotová, Jana, Pavlů, Ivana, Nassar, Hiba, Machalová, Jitka, and Hron, Karel
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Statistics - Methodology ,Mathematics - Numerical Analysis - Abstract
Probability density functions form a specific class of functional data objects with intrinsic properties of scale invariance and relative scale characterized by the unit integral constraint. The Bayes spaces methodology respects their specific nature, and the centred log-ratio transformation enables processing such functional data in the standard Lebesgue space of square-integrable functions. As the data representing densities are frequently observed in their discrete form, the focus has been on their spline representation. Therefore, the crucial step in the approximation is to construct a proper spline basis reflecting their specific properties. Since the centred log-ratio transformation forms a subspace of functions with a zero integral constraint, the standard $B$-spline basis is no longer suitable. Recently, a new spline basis incorporating this zero integral property, called $Z\!B$-splines, was developed. However, this basis does not possess the orthogonal property which is beneficial from computational and application point of view. As a result of this paper, we describe an efficient method for constructing an orthogonal $Z\!B$-splines basis, called $Z\!B$-splinets. The advantages of the $Z\!B$-splinet approach are foremost a computational efficiency and locality of basis supports that is desirable for data interpretability, e.g. in the context of functional principal component analysis. The proposed approach is demonstrated on an empirical demographic dataset.
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- 2024
29. KVP10k : A Comprehensive Dataset for Key-Value Pair Extraction in Business Documents
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Naparstek, Oshri, Pony, Roi, Shapira, Inbar, Dahood, Foad Abo, Azulai, Ophir, Yaroker, Yevgeny, Rubinstein, Nadav, Lysak, Maksym, Staar, Peter, Nassar, Ahmed, Livathinos, Nikolaos, Auer, Christoph, Amrani, Elad, Friedman, Idan, Prince, Orit, Burshtein, Yevgeny, Goldfarb, Adi Raz, and Barzelay, Udi
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Computer Science - Information Retrieval ,Computer Science - Machine Learning - Abstract
In recent years, the challenge of extracting information from business documents has emerged as a critical task, finding applications across numerous domains. This effort has attracted substantial interest from both industry and academy, highlighting its significance in the current technological landscape. Most datasets in this area are primarily focused on Key Information Extraction (KIE), where the extraction process revolves around extracting information using a specific, predefined set of keys. Unlike most existing datasets and benchmarks, our focus is on discovering key-value pairs (KVPs) without relying on predefined keys, navigating through an array of diverse templates and complex layouts. This task presents unique challenges, primarily due to the absence of comprehensive datasets and benchmarks tailored for non-predetermined KVP extraction. To address this gap, we introduce KVP10k , a new dataset and benchmark specifically designed for KVP extraction. The dataset contains 10707 richly annotated images. In our benchmark, we also introduce a new challenging task that combines elements of KIE as well as KVP in a single task. KVP10k sets itself apart with its extensive diversity in data and richly detailed annotations, paving the way for advancements in the field of information extraction from complex business documents., Comment: accepted ICDAR2024
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- 2024
30. LightFAt: Mitigating Control-flow Explosion via Lightweight PMU-based Control-flow Attestation
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Gonzalez-Gomez, Jeferson, Nassar, Hassan, Bauer, Lars, and Henkel, Jorg
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Computer Science - Cryptography and Security - Abstract
With the continuous evolution of computational devices, more and more applications are being executed remotely. The applications operate on a wide spectrum of devices, ranging from IoT nodes with low computational capabilities to large cloud providers with high capabilities. Remote execution often deals with sensitive data or executes proprietary software. Hence, the challenge of ensuring that the code execution will not be compromised rises. Remote Attestation deals with this challenge. It ensures the code is executed in a non-compromised environment by calculating a potentially large sequence of cryptographic hash values. Each hash calculation is computationally intensive and over a large sequence the overhead becomes extremely high. In this work, we propose LightFAt: a Lightweight Control Flow Attestation scheme. Instead of relying on the expensive cryptographic hash calculation, LightFAt leverages the readings from the processor's Performance Monitor Unit (PMU) in conjunction with a lightweight unsupervised machine learning (ML) classifier to detect whether a target application's control flow is compromised, hence improving the system's security. On the verifier's side, LightFAt reaches a detection accuracy of over 95%, with low false-negative and false-positive rates., Comment: This official version of this paper will appear in the 2024 IEEE International Symposium on Hardware Oriented Security and Trust (HOST)
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- 2024
31. Noncentrosymmetric Triangular Magnet CaMnTeO$_6$: Strong Quantum Fluctuations and Role of s0 vs. s2 Electronic States in Competing Exchange Interactions
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Huai, Xudong, Acheampong, Emmanuel, Delles, Erich, Winiarski, Michał J., Sorolla II, Maurice, Nassar, Lila, Liang, Mingli, Ramette, Caleb, Ji, Huiwen, Scheie, Allen, Calder, Stuart, Mourigal, Martin, and Tran, Thao T.
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Condensed Matter - Strongly Correlated Electrons ,Condensed Matter - Materials Science - Abstract
Noncentrosymmetric triangular magnets offer a unique platform for realizing strong quantum fluctuations. However, designing these quantum materials remains an open challenge attributable to a knowledge gap in the tunability of competing exchange interactions at the atomic level. Here, we create a new noncentrosymmetric triangular S = 3/2 magnet CaMnTeO$_6$ based on careful chemical and physical considerations. The model material displays competing magnetic interactions and features nonlinear optical responses with the capability of generating coherent photons. The incommensurate magnetic ground state of CaMnTeO$_6$ with an unusually large spin rotation angle of 127 deg.(1) indicates that the anisotropic interlayer exchange is strong and competing with the isotropic interlayer Heisenberg interaction. The moment of 1.39(1) $\mu$B, extracted from low-temperature heat capacity and neutron diffraction measurements, is only 46% of the expected value of the static moment 3 $\mu$B. This reduction indicates the presence of strong quantum fluctuations in the half-integer spin S = 3/2 CaMnTeO$_6$ magnet, which is rare. By comparing the spin-polarized band structure, chemical bonding, and physical properties of AMnTeO$_6$ (A = Ca, Sr, Pb), we demonstrate how quantum-chemical interpretation can illuminate insights into the fundamentals of magnetic exchange interactions, providing a powerful tool for modulating spin dynamics with atomically precise control.
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- 2024
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32. Continuous and deterministic all-photonic cluster state of indistinguishable photons
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Su, Zu-En, Taitler, Boaz, Schwartz, Ido, Cogan, Dan, Nassar, Ismail, Kenneth, Oded, Lindner, Netanel H., and Gershoni, David
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Quantum Physics - Abstract
Cluster states are key resources for measurement-based quantum information processing. Photonic cluster and graph states, in particular, play indispensable roles in quantum network and quantum metrology. We demonstrate a semiconductor quantum dot based device in which the confined hole spin acts as a needle in a quantum knitting machine producing continuously and deterministically at sub-Gigahertz repetition rate single indistinguishable photons which are all polarization entangled to each other and to the spin in a one dimensional cluster state. By projecting two nonadjacent photons onto circular polarization bases we disentangle the spin from the photons emitted in between, thus continuously and deterministically preparing all-photonic cluster states for the first time. We use polarization tomography on four sequentially detected photons to demonstrate and to directly quantify the robustness of the cluster's entanglement and the determinism in its photon generation., Comment: 8 pages, 4 figures, 1 table
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- 2024
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33. MaliGNNoma: GNN-Based Malicious Circuit Classifier for Secure Cloud FPGAs
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Alrahis, Lilas, Nassar, Hassan, Krautter, Jonas, Gnad, Dennis, Bauer, Lars, Henkel, Jorg, and Tahoori, Mehdi
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Computer Science - Cryptography and Security - Abstract
The security of cloud field-programmable gate arrays (FPGAs) faces challenges from untrusted users attempting fault and side-channel attacks through malicious circuit configurations. Fault injection attacks can result in denial of service, disrupting functionality or leaking secret information. This threat is further amplified in multi-tenancy scenarios. Detecting such threats before loading onto the FPGA is crucial, but existing methods face difficulty identifying sophisticated attacks. We present MaliGNNoma, a machine learning-based solution that accurately identifies malicious FPGA configurations. Serving as a netlist scanning mechanism, it can be employed by cloud service providers as an initial security layer within a necessary multi-tiered security system. By leveraging the inherent graph representation of FPGA netlists, MaliGNNoma employs a graph neural network (GNN) to learn distinctive malicious features, surpassing current approaches. To enhance transparency, MaliGNNoma utilizes a parameterized explainer for the GNN, labeling the FPGA configuration and pinpointing the sub-circuit responsible for the malicious classification. Through extensive experimentation on the ZCU102 board with a Xilinx UltraScale+ FPGA, we validate the effectiveness of MaliGNNoma in detecting malicious configurations, including sophisticated attacks, such as those based on benign modules, like cryptography accelerators. MaliGNNoma achieves a classification accuracy and precision of 98.24% and 97.88%, respectively, surpassing state-of-the-art. We compare MaliGNNoma with five state-of-the-art scanning methods, revealing that not all attack vectors detected by MaliGNNoma are recognized by existing solutions, further emphasizing its effectiveness. Additionally, we make MaliGNNoma and its associated dataset publicly available., Comment: Will appear in the 2024 IEEE International Symposium on Hardware Oriented Security and Trust (HOST)
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- 2024
34. Identification of Glandular (Acinar)/Tubule Formation in Invasive Carcinoma of the Breast. A Study to Determine Concordance Using the World Health Organization Definition
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Lo, Yungtai, Lester, Susan C., Ellis, Ian O., Lanjewar, Sonali, Laurini, Javier, Patel, Ami, Bhattarai, Ava, Ustun, Berrin, Harmon, Bryan, Kleer, Celina G., Ross, Dara, Amin, Ali, Wang, Yihong, Bradley, Robert, Turashvili, Gulisa, Zeng, Jennifer, Baum, Jordan, Singh, Kamaljeet, Hakima, Laleh, Harigopal, Malini, Komforti, Miglena, Shin, Sandra J., Abbott, Sara E., Jaffer, Shabnam, Badve, Sunil Shankar, Khoury, Thaer, D'Alfonso, Timothy M., Ginter, Paula S., Collins, Victoria, Towne, William, Gan, Yujun, Nassar, Aziza, Sahin, Aysegul A., Flieder, Andrea, Aldrees, Rana, Ngo, Marie-Helene, Edema, Ukuemi, Sapna, Fnu, Schnitt, Stuart J., and Fineberg, Susan A.
- Subjects
Breast tumors -- Diagnosis -- Care and treatment -- Development and progression ,Histology, Pathological -- Research -- Standards - Abstract
Context.-The Nottingham Grading System (NGS) developed by Elston and Ellis is used to grade invasive breast cancer (IBC). Glandular (acinar)/tubule formation is a component of NGS. Objective.-To investigate the ability of pathologists to identify individual structures that should be classified as glandular (acinar)/tubule formation. Design.-A total of 58 hematoxylin-eosin photographic images of IBC with 1 structure circled were classified as tubules (41 cases) or nontubules (17 cases) by Professor Ellis. Images were sent as a PowerPoint (Microsoft) file to breast pathologists, who were provided with the World Health Organization definition of a tubule and asked to determine if a circled structure represented a tubule. Results.-Among 35 pathologists, the [kappa] statistic for assessing agreement in evaluating the 58 images was 0.324 (95% CI, 0.314-0.335). The median concordance rate between a participating pathologist and Professor Ellis was 94.1% for evaluating 17 nontubule cases and 53.7% for 41 tubule cases. A total of 41% of the tubule cases were classified correctly by less than 50% of pathologists. Structures classified as tubules by Professor Ellis but often not recognized as tubules by pathologists included glands with complex architecture, mucinous carcinoma, and the "inverted tubule" pattern of micropapillary carcinoma. A total of 80% of participants reported that they did not have clarity on what represented a tubule. Conclusions.-We identified structures that should be included as tubules but that were not readily identified by pathologists. Greater concordance for identification of tubules might be obtained by providing more detailed images and descriptions of the types of structures included as tubules. (Arch Pathol Lab Med. 2024;148:1119-1125; doi: 10.5858/arpa.2023-0163-OA), Histologic grading of invasive breast carcinoma (IBC) represents a morphologic assessment of the degree of tumor differentiation and is routinely reported in the pathologic assessment of IBC. Histologic grade is [...]
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- 2024
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35. Implementation of vascular surgery teleconsultation during the COVID-19 pandemic: Insights from the outpatient vascular clinics in a tertiary care hospital in Qatar.
- Author
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Hassan Al-Thani, Ahammed Mekkodathil, Ahmed Hussain, Ahmed Sharaf, Ahmed Sadek, Anas Aldakhl-Allah, Ahmed Awad, Nassar Al-Abdullah, Ahmad Zitoun, Jini Paul, Pushpalatha Pillai, Sara John, and Ayman El-Menyar
- Subjects
Medicine ,Science - Abstract
BackgroundThe COVID-19 pandemic has sparked a surge in the use of virtual communication tools for delivering clinical services for many non-urgent medical needs allowing telehealth or telemedicine, to become an almost inevitable part of the patient care. However, most of patients with vascular disease may require face-to-face interaction and are at risk of worse outcomes if not managed in timely manner.ObjectiveWe aimed to describe the utilization of telemedicine services in the outpatient vascular surgery clinics in a tertiary hospital.MethodsA retrospective analysis of data on all vascular outpatient encounters during 2019 and 2020 was conducted and compared to reflect the pattern of practice prior to and during the COVID-19 pandemic.ResultsThe study showed that 61% of the total patient encounters in 2020 were reported through teleconsultation. Females were the majority of patients who sought the virtual vascular care. Consultations for the new cases decreased from 29% to 26% whereas, the follow-up cases increased from 71% to 74% in 2020 (p = 0.001). The number of procedures performed in the vascular outpatient clinics decreased by 46% in 2020 when compared to 2019. This decrease in procedures was more evident in the duration from February 2020 to April 2020 in which the procedures decreased by 97%. The proportion of procedures represented 22.6% of the total encounters in 2019 and 10.5% of the encounters during 2020, (p = 0.001).ConclusionsTeleconsultation, along with supporting practice guidelines, can be used to maximize the efficiency of care in vascular surgery patients during the pandemic and beyond. Adoption of the 'hybrid care' which combines both virtual and in-person services as an ongoing practice requires evidence obtained through audits and studies on patients and healthcare providers levels. It is essential to establish a clear practice that ensures patient's needs.
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- 2021
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36. A Network Meta-Analysis of Vasodilator Therapies in Pulmonary Hypertension Patients Undergoing Mitral Valve Replacement Surgery: Insights for Optimizing Hemodynamics
- Author
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Elrosasy, Amr, Maher, Ahmed, Ramadan, Abdelraouf, Hamam, Nada G., Soliman, Mohamed, Kamal, Sara K., Milik, Beshoy Emad, Shahat, Abdullah Ali, Kamel, Menna Nabil, Ali, Ahmed Abdeltawab, Hassan, Loay Abdelnabi, Zabady, Ahmed, Zeid, Mohamed Abo, Abdelmottaleb, Wael, and Nassar, Sameh
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- 2024
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37. Decoding β-catenin expression patterns in ovarian serous carcinoma with clinicopathological implications: insights from National Cancer Institute
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Ebrahim, Noura A. A., Abou-Bakr, Amany A., Tawfik, Hassan N, Nassar, Hanan R., and Adel, Iman
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- 2024
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38. Prefrontal transthalamic uncertainty processing drives flexible switching
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Lam, Norman H., Mukherjee, Arghya, Wimmer, Ralf D., Nassar, Matthew R., Chen, Zhe Sage, and Halassa, Michael M.
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- 2024
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39. Common neural choice signals can emerge artefactually amid multiple distinct value signals
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Frömer, Romy, Nassar, Matthew R., Ehinger, Benedikt V., and Shenhav, Amitai
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- 2024
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40. Strategies for Preventing Tunnel Convergence in Multiligament Knee Injury Reconstructions
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Nassar, Joseph E., Sleem, Bshara, Tollefson, Luke V., Shoemaker, Evan P., LaPrade, Robert F., and Moatshe, Gilbert
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- 2024
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41. Investigating structural, dielectric, and electrical characteristics of sol–gel synthesized perovskite ceramic Bi0.7Ba0.3(FeTi)0.5O3
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Tayari, Faouzia, Teixeira, Silvia Soreto, Graça, M. P. F., Essid, Manel, and Nassar, Kais Iben
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- 2024
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42. Electrical and mechanical behaviors of rubber composites based on polar elastomers with incorporated Cu-based alloy
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Mahmoud, Doaa S., Nassar, Amira, Moustafa, A. M., Ward, A. A., Mohamed, Wael S., and El-Sabbagh, Salwa H.
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- 2024
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43. Effect of Gd doping on the microstructure and electrical characteristics of Maghemite (γ-Fe₂O₃) ceramics
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Dhahri, Ramzi, Benamara, Majdi, Bouzidi, Souhir, Ben Moussa, Sana, Alzahrani, Abdullah Yahya Abdullah, Nassar, Kais Iben, Zahmouli, Nassim, Elkenany, Elkenany Brens, and Al-Syadi, A. M.
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- 2024
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44. A new green catalyst and antimicrobial agent derived from eco-friendly products of camel bones: synthesis and physicochemical characterization
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Nassar, Amr Mohammad, Arafa, Wael A. A., Ashammari, Khulaif, Moustafa, Shaima M. N., Alsirhani, Alaa Muqbil, and Hasaneen, M. F.
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- 2024
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45. Characterization and evaluation of physiochemical and microbiological water quality parameters in Palestinian schools: a case study from Central Hebron Directorate
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Sultan, Safa, Sawalha, Hassan, Issa, Yaser, Nassar, Mohannad, Qaimari, Hatem, Abu Thrie, Mohammad, and Jabari, Maher
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- 2024
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46. Enhanced electrical and thermal properties of (Cu, N) doped nano TiO2 incorporated polyaniline matrix synthesized using in situ chemical polymerization approach
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Masoud, Emad M., Khairy, M., Abolibda, Tariq Z., Toghan, Arafat, Nassar, Mostafa Y., Shaaban, Saad, Zaki, Magdi E. A., and Yousef, Tarek A.
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- 2024
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47. Prevalence and molecular characterization of carbapenem-resistant Enterobacterales in patients from a public referral hospital in a non-metropolitan region of Brazil during and post the SARS-CoV-2 pandemic
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Fochat, Romário Costa, de Lelis Araújo, Ana Clara, Pereira Júnior, Olavo dos Santos, Silvério, Marcelo Silva, Nassar, Alessandra Figueiredo de Castro, Junqueira, Maria de Lourdes, Silva, Marcio Roberto, and Garcia, Patrícia Guedes
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- 2024
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48. Recent trending insights for enhancing silicon anode in lithium-ion battery via polymer coating
- Author
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Ibrahem, Sarah L., Nassar, Mostafa Y., Kader, Sherine M. Abd El., Fawzy, Ahmed, Adam, Mohamed Shaker S., Masoud, Emad M., Khairy, M., Sanad, Moustafa M. S., and Mabrouk, ElSayed M.
- Published
- 2024
- Full Text
- View/download PDF
49. Efficacy and safety of catheter ablation for atrial fibrillation in elderly patients: a systematic review and meta-analysis
- Author
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França, Marcos Roberto Queiroz, Morillo, Carlos Arturo, Carmo, André Assis Lopes, Mayrink, Marina, Miranda, Reynaldo Castro, Naback, André Dias Nassar, Nevis, Immaculate, Silva, Gustavo Araújo, Ribeiro, Antonio Luiz Pinho, and Nascimento, Bruno Ramos
- Published
- 2024
- Full Text
- View/download PDF
50. Ethics statements in Rheumatology journals: present practices and future directions
- Author
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Alnaimat, Fatima, Al-Halaseh, Salameh, AlZoubi, Lujain, Khraisat, Bann Rami Khalil, and Nassar, Osama Mohammad Hussein Abu
- Published
- 2024
- Full Text
- View/download PDF
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