4,651 results on '"Sayed, Ali"'
Search Results
102. Selection of Monocyte-to-Lymphocyte Ratio (MLR) or Lymphocyte-to-Monocyte Ratio (LMR) as Best Prognostic Tool in Heart Failure: a Systematic Review
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Vakhshoori, Mehrbod, Nemati, Sepehr, Sabouhi, Sadeq, Tavakol, Golchehreh, Yavari, Behzad, Shakarami, Mehrnaz, Bondariyan, Niloofar, Emami, Sayed Ali, and Shafie, Davood
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- 2023
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103. Privatized graph federated learning
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Rizk, Elsa, Vlaski, Stefan, and Sayed, Ali H.
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- 2023
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104. Synthesis, description, and application of novel corrosion inhibitors for CS AISI1095 in 1.0 M HCl based on benzoquinoline derivatives
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Sayed, Ali G., Ashmawy, Ashraf M., Elgammal, Walid E., Hassan, Saber M., and Deyab, M. A.
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- 2023
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105. Association between the severity of periodontitis, COVID-19, C-reactive protein and interleukin-6 levels in hospitalized patients: a case‒control study
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Moradi Haghgoo, Janet, Torkzaban, Parviz, Farhadian, Maryam, and Moosavi Sedeh, Sayed Ali
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- 2023
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106. Hematologic tests and their association with the severity of COVID-19 and periodontitis in hospitalized patients: a case–control study
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Moradi Haghgoo, Janet, Torkzaban, Parviz, Farhadian, Maryam, Rabienejad, Nazli, and Moosavi Sedeh, Sayed Ali
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- 2023
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107. Evaluation of diastolic dysfunction in children with hypertrophic cardiomyopathy and its relationship with development of myocardial fibrosis
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Deraz, Salem Elsayed, Esmat, Omar Deyaa, El-Hmid, Rehab Galal Abd, and Amin, Sayed Ali
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- 2023
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108. Plant functional trait responses to cope with drought in seven cool-season grasses
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Taleb, Mohammad Hadi, Majidi, Mohammad Mahdi, Pirnajmedin, Fatemeh, and Maibody, Sayed Ali Mohammad Mirmohammady
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- 2023
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109. Theoretical investigation of fullerene (C60) as nano carrier for anti-cancer drug Axitinib
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Saied Jamaladdin Emamjome Koohbanani, Sayed Ali Ahmadi, Dadkhoda Ghazanfari, and Enayatollah Sheikhhosseini
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DFT ,Axitinib ,Fullerene ,Anti-cancer drug ,Nano carrier ,Chemistry ,QD1-999 - Abstract
Axitinib, marketed as Inlyta, finds various medical applications in the treatment of conditions such as breast cancer, myeloid leukemia, and juvenile myelomonocytic leukemia. Initially, the synthesis of this cytidine analog, and its deoxy derivative decitabine, was carried out in Czechoslovakia to explore their potential as chemotherapeutic agents for cancer treatment. Recent research has been focused on understanding the reactivity and chemical structure of Axitinib, which are believed to contribute to its anticancer properties. As part of this investigation, the adsorption process of Axitinib onto a fullerene (C60) adsorbent in the gas and water phases was examined using the DFT/B3LYP/6-311+G(d, p) method. This analysis involved the assessment of the adsorption energy and a chemical perspective on the interaction between Axitinib and the adsorbent molecule. Furthermore, various thermodynamic characteristics, including Gibbs free energy (-4004.73 kJ), Enthalpy (-4004.52 kJ), and Entropy (709.79 J/mol-kelvin), as well as thermodynamic capacity (349.69 J/mol-kelvin), were calculated. Additionally, key electronic parameters, such as σ(0.20), µ(-2.97), ω(0.88), χ(2.97), and η(5.01) (all in eV), were estimated to elucidate the compound's chemical properties. The calculation of the HOMO (-7.99 eV) and LUMO (2.04 eV) energy levels revealed six regions of chemical activity for Axitinib, confirming its thermodynamic stability and indicating the significance of this adsorption process in delivering Axitinib to biological mechanisms.
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- 2024
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110. The impact of platelet-to-lymphocyte ratio on clinical outcomes in heart failure: a systematic review and meta-analysis
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Mehrbod Vakhshoori, Niloofar Bondariyan, Sadeq Sabouhi, Keivan Kiani, Nazanin Alaei Faradonbeh, Sayed Ali Emami, Mehrnaz Shakarami, Farbod Khanizadeh, Shahin Sanaei, Niloofaralsadat Motamedi, and Davood Shafie
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Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Background: Inflammation has been suggested to play a role in heart failure (HF) pathogenesis. However, the role of platelet-to-lymphocyte ratio (PLR), as a novel biomarker, to assess HF prognosis needs to be investigated. We sought to evaluate the impact of PLR on HF clinical outcomes. Methods: English-published records in PubMed/Medline, Scopus, and Web-of-science databases were screened until December 2023. Relevant articles evaluated PLR with clinical outcomes (including mortality, rehospitalization, HF worsening, and HF detection) were recruited, with PLR difference analysis based on death/survival status in total and HF with reduced ejection fraction (HFrEF) patients. Results: In total, 21 articles ( n = 13,924) were selected. The total mean age was 70.36 ± 12.88 years (males: 61.72%). Mean PLR was 165.54 [95% confidence interval (CI): 154.69–176.38]. In total, 18 articles ( n = 10,084) reported mortality [either follow-up (PLR: 162.55, 95% CI: 149.35–175.75) or in-hospital (PLR: 192.83, 95% CI: 150.06–235.61) death rate] and the mean PLR was 166.68 (95% CI: 154.87–178.50). Further analysis revealed PLR was significantly lower in survived HF patients rather than deceased group (152.34, 95% CI: 134.01–170.68 versus 194.73, 95% CI: 175.60–213.85, standard mean difference: −0.592, 95% CI: −0.857 to −0.326, p
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- 2024
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111. Synthesis of ZnO@TiO2 nanoparticles and its application to construct an electrochemical sensor for determination of hydrazine
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Razieh Razavi, Fariba Garkani Nejad, Sayed Ali Ahmadi, and Hadi Beitollahi
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Electrochemical sensor ,ZnO@TiO2 nanoparticles ,Screen printed graphite electrode ,Hydrazine ,Industrial electrochemistry ,TP250-261 ,Chemistry ,QD1-999 - Abstract
In the present research, ZnO@TiO2 nanoparticles (ZnO@TiO2 NPs) was synthesized by using a simple method and the results of infrared (IR), X-ray diffraction (XRD), field emission scanning electron microscope (FE-SEM), and energy-dispersive X-ray spectroscopy (EDX) confirmed their synthesis. Then, an electrochemical sensor based on screen printed graphite electrode (SPGE) modified with ZnO@TiO2 NPs was developed for voltammetric detection of hydrazine in water samples. The ZnO@TiO2 NPs modified SPGE demonstrates significant performance toward the hydrazine detection due to the synergistic effect between ZnO NPs and TiO2 NPs and it proved by the results from cyclic voltammetry (CV). Also, the observation of an oxidation peak without a reduction peak in the opposite scan direction indicated the irreversibility of the electrochemical oxidation of hydrazine on both the bare SPGE and the ZnO@TiO2/SPGE. Under optimized conditions (pH and differential pulse parameters), the voltammetric current response of hydrazine at the ZnO@TiO2/SPGE showed linear dependence on the concentration, ranging from 0.01 µM to 585.0 µM with a limit of detection (LOD) of 0.005 µM. In addition, the pertinency of the ZnO@TiO2/SPGE sensor for practical applications was investigated by quantification detection of hydrazine in water samples. The findings showed recovery values between 97.3 % and 104.2 % and relative standard deviations (RSDs) ≤ 3.5 % for river and tap water samples.
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- 2024
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112. The Challenge of Microplastics in Aquatic Ecosystem: A Review of Current Consensus and Future Trends of the Effect on the Fish
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El-Sayed Ali, Tamer, primary
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- 2023
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113. Non-Hermitian Higher-Order Weyl Semimetals
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Ghorashi, Sayed Ali Akbar, Li, Tianhe, and Sato, Masatoshi
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Condensed Matter - Mesoscale and Nanoscale Physics ,Condensed Matter - Materials Science ,Condensed Matter - Quantum Gases ,Condensed Matter - Strongly Correlated Electrons ,Quantum Physics - Abstract
We study non-Hermitian higher-order Weyl semimetals (NHHOWSMs) possessing real spectra and having inversion $\mathcal{I}$ ($\mathcal{I}$-NHHOWSM) or time-reversal symmetry $\mathcal{T}$ ($\mathcal{T}$-NHHOWSM). When the reality of bulk spectra is lost, the NHHOWSMs exhibit various configurations of surface Fermi Arcs (FAs) and Exceptional Fermi Rings (EFRs), providing a setup to investigate them on an equal footing. The EFRs only appear in the region between 2nd-order WNs. We also discover Weyl nodes originating from non-Hermicity, called non-Hermitian Weyl nodes (NHWNs). Remarkably, we find T-NHHOWSMs which host only 2nd-order NHWNs, having both surface and hinge FAs protected by the quantized biorthogonal Chern number and quadrupole moment, respectively. We call this intrinsically non-Hermitian phase exceptional HOWSM. In contrast to ordinary WNs, the NHWNs can instantly deform to line nodes, forming a monopole comet. The NHWNs also show exceptional tilt-rigidity, which is a strong resistance towards titling due to attachment to exceptional structures. This phenomenon can be a promising experimental knob. Finally, we reveal the exceptional stability of FAs called exceptional helicity. Surface FAs having opposite chirality can live on the same surface without gapping out each other due to the complex nature of the spectrum. Our work motivates an immediate experimental realization of NHHOWSMs., Comment: 4 figures. arXiv admin note: text overlap with arXiv:2106.14914
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- 2021
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114. Non-Hermitian Higher-Order Dirac Semimetals
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Ghorashi, Sayed Ali Akbar, Li, Tianhe, Sato, Masatoshi, and Hughes, Taylor L.
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Condensed Matter - Mesoscale and Nanoscale Physics ,Condensed Matter - Materials Science ,Condensed Matter - Strongly Correlated Electrons ,Quantum Physics - Abstract
In this article we study 3D non-Hermitian higher-order Dirac semimetals (NHHODSMs). Our focus is on $C_4$-symmetric non-Hermitian systems where we investigate inversion ($\mathcal{I}$) or time-reversal ($\mathcal{T}$) symmetric models of NHHODSMs having real bulk spectra. We show that they exhibit the striking property that the bulk and surfaces are anti-PT and PT symmetric, respectively, and so belong to two different topological classes realizing a novel non-Hermitian topological phase which we call a \emph{hybrid-PT topological phases}. Interestingly, while the bulk spectrum is still fully real, we find that exceptional Fermi-rings (EFRs) appear connecting the two Dirac nodes on the surface. This provides a route to probe and utilize both the bulk Dirac physics and exceptional rings/points on equal footing. Moreover, particularly for $\mathcal{T}$-NHHODSMs, we also find real hinge-arcs connecting the surface EFRs. We show that this higher-order topology can be characterized using a biorthogonal real-space formula of the quadrupole moment. Furthermore, by applying Hermitian $C_4$-symmetric perturbations, we discover various novel phases, particularly: (i) an intrinsic $\mathcal{I}$-NHHODSM having hinge arcs and gapped surfaces, and (ii) a novel $\mathcal{T}$-symmetric skin-topological HODSM which possesses both topological and skin hinge modes. The interplay between non-Hermition and higher-order topology in this work paves the way toward uncovering rich phenomena and hybrid functionality that can be readily realized in experiment., Comment: 4 figures
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- 2021
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115. A Graph Federated Architecture with Privacy Preserving Learning
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Rizk, Elsa and Sayed, Ali H.
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Computer Science - Machine Learning ,Computer Science - Artificial Intelligence ,Computer Science - Cryptography and Security - Abstract
Federated learning involves a central processor that works with multiple agents to find a global model. The process consists of repeatedly exchanging estimates, which results in the diffusion of information pertaining to the local private data. Such a scheme can be inconvenient when dealing with sensitive data, and therefore, there is a need for the privatization of the algorithms. Furthermore, the current architecture of a server connected to multiple clients is highly sensitive to communication failures and computational overloads at the server. Thus in this work, we develop a private multi-server federated learning scheme, which we call graph federated learning. We use cryptographic and differential privacy concepts to privatize the federated learning algorithm that we extend to the graph structure. We study the effect of privatization on the performance of the learning algorithm for general private schemes that can be modeled as additive noise. We show under convexity and Lipschitz conditions, that the privatized process matches the performance of the non-private algorithm, even when we increase the noise variance.
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- 2021
116. Navigation and Trajectory Planning Techniques for Unmanned Aerial Vehicles Swarm.
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Nada Mohammed Elfatih, Elmustafa Sayed Ali, and Rashid A. Saeed
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- 2023
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117. Machine Learning and Deep Learning Approaches for Robotics Applications.
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Lina E. Alatabani, Elmustafa Sayed Ali, and Rashid A. Saeed
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- 2023
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118. Theories of the Ethical Government Vs. Social Contract: A Practical View of the State Through Hegel's Point of View and His Critiques of Classical Liberalism
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Ayet Mulaee, Sayed Ali Mousavi, and Farshid Bandehali
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friedrich hegel ,state ,freedom ,right ,Law ,Islamic law ,KBP1-4860 - Abstract
IntroductionHegel is a philosopher who studies the concept of the state with his multifaceted philosophy and his special methodology. On one hand, he criticizes the views of different schools of thought about this concept and believes that the government is not a mechanism to maintain peace, enforce rights, or promote benefits beyond its own existence, and only in this capacity can it be recognized by everyone as a right. On the other hand, in his theory, the divine and intrinsically purposive government is trying to incorporate all the desirable features of these schools, despite all these criticisms. notwithstanding this paradox, this research, whose sources have been collected through the library research method and descriptive-analytical study, aims to prove the hypothesis that the Hegelian state emerges from within the traditional liberal and democratic state-building philosophies in a special and distinct way. It is trying to answer the question “What are the characteristics of the ideal state in Hegel's view, In a practical look at the political philosophy of the state?”, The results show, while proving the hypothesis; that contrary to the extreme collectivism of Rousseau and the abstract individualism of Lockean liberalism, Hegel's state is ‘a reasonable and inevitable institution of society that everyone must recognize its by force and accept its obedience’. Research Question(s)What are the characteristics of the ideal state in Hegel's view? Literature ReviewSeveral research papers have been published Related to the subject of the research, including; Zahra Vashqani Farahani's thesis titled: "State Theory in Hegel's Political Philosophy" published by the Faculty of Literature and Humanities of the Islamic Azad University (Central Tehran Branch), as well as an article titled "The Importance of Hegelian Separation, State and Civil Society" written by Azim Rahin, Prepared and published in No. (1.2) of Social Sciences Quarterly. However, the distinct feature of this research is the examination of Hegel's paradigmatic view of the government, which is in many ways against or in favor of democracy and liberalism. MethodologyConsidering that research in most humanities disciplines is mainly focused on theoretical solutions, the present study has used a library research method to collect the desired data and examines the data with a descriptive-analytical method. ConclusionHegel's philosophy, methodology, and valuable critiques present an outlook that thinks about modernity, instead of being oriented towards the Enlightenment era of his time. Because, basically, from Hegel's point of view, modernity is a bridge in the evolution of the soul towards freedom, and in this way, the self-awareness of the soul is the most important characteristic of the new era. In summary, for the purposes of this research and its main question, what is certain is that Hegel rejects the political theory of social contract that philosophers such as Locke and Rousseau established and views them as inefficient abstract concepts and, by rejecting the abstract idealism of "Reason" and the empiricism of "History" as an independent and durable ground for authority, established a dialectical relationship between reason and history and thereby resolved some of the contradictions raised in the state's founding phase. He also, based the political right on having an independent nature from the state and supports the concept of political right where it maintains its idealistic aspect, but is based on a certain historical era. On the other hand, even though Hegel criticizes the extreme collectivism of Rousseau and the abstract individualism of Lockean liberalism, his divine and intrinsically purposive government tries to incorporate all the desirable features of these schools and support them. Hegel's goal was to achieve the desired political power system for Germany, and so in this way, he presented his government specially and distinctly from the democratic and liberal state-building philosophies of his time.But what are the characteristics of Hegel's ideal government? The key to understanding this question lies in the ideal concept of political right in Hegel's belief and his opinion about the inherent rationality of the state. From Hegel's point of view, the state is the manifestation of realized freedom and the perfect ethical life. Therefore, the state is an ethical soul that emerges in the form of an essential will by becoming more transparent and definite. Therefore, the state is nothing but "the action of the spirit in the world" realized in a self-conscious form. But since the soul in Hegel's philosophy has an absolute, and even divine essence, according to Hegel's definition, the state is God's will in the world. Such a government is not a responsible or parliamentary government, and this was at a time when the belief in a responsible government was considered the most important feature of 19th-century liberalism. Overall, by studying the philosophy of rights that Hegel talks about, it cannot be said that he does not explicitly accept responsible government, nor can it be said that he explicitly rejected such a government.
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- 2023
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119. Synthesis of pyridone derivatives using 2D rod like bifunctional Fe based MOF and CuO nanocomposites as a novel heterogeneous catalyst
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Negar Hoot, Enayatollah Sheikhhosseini, Sayed Ali Ahmadi, Mahdieh Ghazizadeh, Moslem Malekshahi, and Mahdieh Yahyazadehfar
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Medicine ,Science - Abstract
Abstract In this study, a new and efficient Rod-like bifunctional Fe-based MOF@CuO nanocomposites (RL BF Fe-based MOF@CuO NC) were synthesized as new and efficient heterogeneous catalyst through a simple method from easily available 1,3,5-benzenetricarbocylic acid linker, nitrate ferric as a source of iron and copper oxide (CuO) nanoparticles under microwave irradiation. The synthesized nanocatalysts were characterized with different techniques such as Brunauer–Emmett–Teller (BET), energy dispersive spectroscopy (EDS), field emission scanning electron microscopy (FE-SEM), mapping, transmission electron microscopy (TEM), X-ray diffraction (XRD), vibrating sample magnetometer (VSM), thermogravimetric analysis (TGA) and Fourier transform infrared spectroscopy (FT-IR). The RL BF Fe-based MOF@CuO NC had relatively high specific surface area (203 m2 g−1) while exhibiting superparamagnetic properties. The catalytic activity of RL BF Fe-based MOF@CuO NC was explored in a facile and green methodology to prepare diverse N‑amino-2-pyridones by one-pot four component reactions comprising aromatic aldehyde, malononitrile, methyl cyanoacetate and hydrazine hydrate within mild and solvent-free conditions. This protocol enjoys features like providing the final products during low reaction times in excellent yields under solvent-free conditions. The use of easily available and inexpensive reactants for the synthesis of the catalyst, environmental compatibility, low catalyst loading, fast and clean work-up and reusability of catalyst for several cycles with consistent activity are counted as the outstanding features of this procedure.
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- 2023
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120. Reproductive studies on the carpet clam Paphia textile (Paratapes textilis) (Gmelin 1791) (Family: Veneridae): a guide of aquaculture management along the Egyptian coasts of the Red Sea and Suez Canal
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Marwa I. Farghaly, Tamer El-Sayed Ali, Hanan M. Mitwally, and Fatma A. Abdel Razek
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Reproductive cycle ,Sex ratio ,Spatial distribution ,Temporal distribution ,Environmental parameters ,Condition index ,Zoology ,QL1-991 - Abstract
Abstract Background Most aquatic biota's reproductive biology and life cycle are essential to the sustainable management and development of coastal ecosystems and aquaculture. The bivalve Paphia textile (Gmelin 1791), also known as Paratapes textilis, has an economic value in Indo-Pacific waters, including the Red Sea and the Suez Canal lakes, the Egyptian coasts. However, P. textile suffers from extensive fishing and exploitation. Aim The present work aims to study the Paphia textile's reproductive cycle on the Egyptian coasts of the Red Sea for the first time. It helps to manage and develop the coastal ecosystems and aquaculture. Methodology Samples were collected monthly from two saline lakes in the Suez Gulf from December 2019 to November 2020. As part of the comprehensive research study, sex ratio, condition index, sexuality, histological analysis of gonads, shell size, and gonad index were used to investigate the reproductive cycle. Results The results reveal a male-biased sex ratio, possibly due to anthropogenic stressors. The Paphia textile is dioecious. No hermaphrodite cases were observed in the studied specimens. The condition index in winter and spring indicates periods dominated by mature individuals. Five reproductive maturity stages were assigned for both P. textile males and females. Due to the simultaneous development of several developmental stages monthly throughout the sampling year, warm water may be responsible for non-sequential gametogenic cycles. As measured environmental parameters correlate with maturity stages, temperature, salinity, and chlorophyll a play important role in gonad growth. The size at first sexual maturity at which 50% of the Paphia textile population reached maturity ranged from 28.60 to 31.50 mm for females, and between 31.70 and 34.10 mm for males. As the gonad index increases during the ripe stages, this index decreases during the resting, spawning, and spent phases. Conclusions The findings suggest the most suitable temperature for aquaculture spawning is between 20 °C and 30 °C in subtropical waters. Fishing should generally be prohibited at sizes less than 28.60 mm for better management and sustainability of this valuable aquatic resource on the Egyptian coasts of the Red Sea.
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- 2023
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121. Association between the severity of periodontitis, COVID-19, C-reactive protein and interleukin-6 levels in hospitalized patients: a case‒control study
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Janet Moradi Haghgoo, Parviz Torkzaban, Maryam Farhadian, and Sayed Ali Moosavi Sedeh
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Periodontitis ,COVID-19 ,C-Reactive Protein ,CRP ,Interleukin-6 ,IL-6 ,Dentistry ,RK1-715 - Abstract
Abstract Background The COVID-19 pandemic is perhaps one of the most important events of the 21st century. Periodontitis is one of the most prevalent diseases of the oral cavity. Due to possible pathways of interaction between these two diseases, we investigated their association. Methods The study population consisted of hospitalized patients with established COVID-19 diagnoses. Patients with mild to moderate COVID-19 were considered controls, while cases had severe to critical COVID-19. Periodontal examination and serum and saliva sampling were performed for each patient. Relevant medical data were extracted from patients’ hospital files. Results Of the enrolled patients, 122 were included in the statistical analyses. The severity of periodontitis was directly and significantly correlated with the severity of COVID-19 (P
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- 2023
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122. Prevalence of use, perceptions of harm and addictiveness, and dependence of electronic cigarettes among adults in Kuwait: A cross-sectional study
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Munairah Alshaibani<sup>*, Mays Alajmi<sup>*, Noura Alabduljalil, Hajar Alajmi, Yousef Alsalem, Danah Aloqab, Hamad Alawadhi, Sara Sayed Ali, Yaqoub Sharhan, Ahmed Alzeeny, and Ali H. Ziyab
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electronic cigarettes ,adults ,dependence ,harm ,addictiveness ,Diseases of the respiratory system ,RC705-779 ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Introduction Electronic cigarettes (e-cigarettes) have become one of the most common forms of nicotine delivery used by youth and young adults worldwide. Given the lack of epidemiologic data in Kuwait, this study sought to estimate the prevalence of e-cigarette use, assess perceptions of harm and addictiveness of e-cigarettes, measure the level of dependence on e-cigarettes and assess factors associated with dependence level among adults. Methods A cross-sectional study enrolled adults (n=3032, aged ≥18 years) living in Kuwait using a web-based questionnaire. Participants self-reported ever and current (past 30-day) e-cigarette use and self-completed the 10-item Penn State E-cigarette Dependence Index. Associations were evaluated using multinomial logistic regression. Results The prevalence of ever and current e-cigarette use was estimated to be 40.2% (1220/3032) and 29.4% (892/3032), respectively. The prevalence of current e-cigarette use was higher in males compared to females (47.6% vs 14.4%, p
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- 2023
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123. Hematologic tests and their association with the severity of COVID-19 and periodontitis in hospitalized patients: a case–control study
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Janet Moradi Haghgoo, Parviz Torkzaban, Maryam Farhadian, Nazli Rabienejad, and Sayed Ali Moosavi Sedeh
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Periodontitis ,COVID-19 ,Severity ,Blood tests ,Hematological tests ,Hematology ,Dentistry ,RK1-715 - Abstract
Abstract Background The presence of comorbidities, especially those with a chronic inflammatory nature such as periodontitis, can facilitate COVID-19 progression toward more severe forms. Both of these diseases can affect systemic health and alter hematological test results. In this study, we decided to investigate COVID-19 and periodontitis’ possible interaction with these alterations. Methods Hospitalized patients with a definitive diagnosis of COVID-19 were included. Controls had mild to moderate COVID-19, while cases had severe to critical COVID-19. Periodontal examination was done for each patient. Relevant medical and hematological data were extracted from patient’s hospital files. Results A total of 122 patients entered the final analysis. The minimum white blood cell counts were associated with the severity of periodontitis. The interaction between periodontitis and COVID-19 was associated with increased minimum white blood cell counts and decreased platelet counts. COVID-19 severity was associated with increased venous oxygen saturation, prothrombin time, the maximum partial thromboplastin time, the maximum and average urea, the maximum creatinine, the maximum potassium, and lactate dehydrogenase, and decreased sodium levels. Conclusions Results of this study showed that several blood parameters were associated with periodontitis, COVID-19, or the interaction between them.
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- 2023
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124. Risk Factors Associated With Sentinel Lymph Node Metastasis in Clinically Node-Negative Breast Cancer
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Hussain Adnan Abdulla, Ahmed Zuhair Salman, Sarah Jawad Alaraibi, Khaled Nazzal, Sara Abdulameer Ahmed, Sayed Ali Almahari, and Ali Dhaif
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axillary lymph node dissection ,axillary treatment ,breast cancer ,early breast cancer ,sentinel lymph node biopsy ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 ,Medicine - Abstract
Objective:Sentinel lymph node biopsy (SLNB) is the standard of care for axillary staging in clinically node negative breast cancer. If predictive factors for sentinel lymph node (SLN) metastasis could be identified, it would allow selection of candidates for SLNB and omit axillary surgery in those with the lowest risk of axillary lymph node involvement. The aim of this study was to determine risk factors associated with SLN metastasis in breast cancer patients in Bahrain.Materials and Methods:Patients with clinically node-negative breast cancer who underwent SLNB at a single institution between 2016 and 2022 were identified from the pathology database. Patients who had failure of localization of SLN, those with bilateral cancers and those treated for a local recurrence were excluded.Results:A total of 160 breast cancer patients were retrospectively analyzed. Of these, 64.4% had a negative SLNB and 21.9% of all cases underwent axillary dissection. The following parameters emerged as predictors of SLN metastasis in univariate analysis: age; tumour grade; ER status; presence of lymphovascular invasion (LVI) and tumor size. On multivariate analysis, age was not independently associated with the incidence of SLN metastasis.Conclusion:This study showed that high tumour grades, presence of LVI and large tumour size were all risk factors related to axillary metastasis after SLNB in breast cancer. In the elderly, the incidence of SLN metastasis appeared to be relatively low, providing an opportunity to de-escalate axillary surgery in these patients. These findings may allow for the development of a nomogram to estimate the risk of SLN metastasis.
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- 2023
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125. Theoretical investigation of fullerene (C60) as nano carrier for anti-cancer drug Axitinib
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Emamjome Koohbanani, Saied Jamaladdin, Ahmadi, Sayed Ali, Ghazanfari, Dadkhoda, and Sheikhhosseini, Enayatollah
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- 2024
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126. Synthesis of ZnO@TiO2 nanoparticles and its application to construct an electrochemical sensor for determination of hydrazine
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Razavi, Razieh, Garkani Nejad, Fariba, Ahmadi, Sayed Ali, and Beitollahi, Hadi
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- 2024
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127. Carbon nanomaterials as nonlinear optical modulators for pulsed laser generation at near-infrared region
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Sohail, Muhammad, Nawaz, Adil, Alomar, Muneerah, Khan, Sayed Ali, Hussain, Afzal, Khan, Noor Zamin, Hayat, Qaisar, Ali, Javaid, Muhammad, Yasin, Asghar, Haroon, and Ahmed, Rizwan
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- 2024
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128. Photoluminescence properties of Sb3+-activated Ca2YTaO6 dual color emitting phosphors for plant growth LEDs applications
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Khan, Noor Zamin, Khan, Sayed Ali, Muhammad, Nisar, Amin Padhiar, Muhammad, Tahir Abbas, Muhammad, Ahmed, Jahangeer, Runowski, Marcin, Kui Zheng, Ren, and Xu, Xin
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- 2024
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129. Competing Adaptive Networks
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Vlaski, Stefan and Sayed, Ali H.
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Computer Science - Multiagent Systems ,Computer Science - Machine Learning ,Electrical Engineering and Systems Science - Signal Processing ,Statistics - Machine Learning - Abstract
Adaptive networks have the capability to pursue solutions of global stochastic optimization problems by relying only on local interactions within neighborhoods. The diffusion of information through repeated interactions allows for globally optimal behavior, without the need for central coordination. Most existing strategies are developed for cooperative learning settings, where the objective of the network is common to all agents. We consider in this work a team setting, where a subset of the agents form a team with a common goal while competing with the remainder of the network. We develop an algorithm for decentralized competition among teams of adaptive agents, analyze its dynamics and present an application in the decentralized training of generative adversarial neural networks.
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- 2021
130. Deception in Social Learning
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Ntemos, Konstantinos, Bordignon, Virginia, Vlaski, Stefan, and Sayed, Ali H.
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Electrical Engineering and Systems Science - Systems and Control ,Computer Science - Computer Science and Game Theory - Abstract
A common assumption in the social learning literature is that agents exchange information in an unselfish manner. In this work, we consider the scenario where a subset of agents aims at deceiving the network, meaning they aim at driving the network beliefs to the wrong hypothesis. The adversaries are unaware of the true hypothesis. However, they will "blend in" by behaving similarly to the other agents and will manipulate the likelihood functions used in the belief update process to launch inferential attacks. We will characterize the conditions under which the network is misled. Then, we will explain that it is possible for such attacks to succeed by showing that strategies exist that can be adopted by the malicious agents for this purpose. We examine both situations in which the agents have access to information about the network model as well as the case in which they do not. For the first case, we show that there always exists a way to construct fake likelihood functions such that the network is deceived regardless of the true hypothesis. For the latter case, we formulate an optimization problem and investigate the performance of the derived attack strategy by establishing conditions under which the network is deceived. We illustrate the learning performance of the network in the aforementioned adversarial setting via simulations. In a nutshell, we clarify when and how a network is deceived in the context of non-Bayesian social learning., Comment: 19 pages, 11 figures, submitted for publication
- Published
- 2021
131. Decision-Making Algorithms for Learning and Adaptation with Application to COVID-19 Data
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Marano, Stefano and Sayed, Ali H.
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Electrical Engineering and Systems Science - Signal Processing ,Computer Science - Machine Learning ,Statistics - Machine Learning - Abstract
This work focuses on the development of a new family of decision-making algorithms for adaptation and learning, which are specifically tailored to decision problems and are constructed by building up on first principles from decision theory. A key observation is that estimation and decision problems are structurally different and, therefore, algorithms that have proven successful for the former need not perform well when adjusted for decision problems. We propose a new scheme, referred to as BLLR (barrier log-likelihood ratio algorithm) and demonstrate its applicability to real-data from the COVID-19 pandemic in Italy. The results illustrate the ability of the design tool to track the different phases of the outbreak.
- Published
- 2020
132. Federated Learning under Importance Sampling
- Author
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Rizk, Elsa, Vlaski, Stefan, and Sayed, Ali H.
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Computer Science - Machine Learning - Abstract
Federated learning encapsulates distributed learning strategies that are managed by a central unit. Since it relies on using a selected number of agents at each iteration, and since each agent, in turn, taps into its local data, it is only natural to study optimal sampling policies for selecting agents and their data in federated learning implementations. Usually, only uniform sampling schemes are used. However, in this work, we examine the effect of importance sampling and devise schemes for sampling agents and data non-uniformly guided by a performance measure. We find that in schemes involving sampling without replacement, the performance of the resulting architecture is controlled by two factors related to data variability at each agent, and model variability across agents. We illustrate the theoretical findings with experiments on simulated and real data and show the improvement in performance that results from the proposed strategies.
- Published
- 2020
133. Second-Order Guarantees in Federated Learning
- Author
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Vlaski, Stefan, Rizk, Elsa, and Sayed, Ali H.
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Computer Science - Machine Learning ,Computer Science - Multiagent Systems ,Electrical Engineering and Systems Science - Signal Processing ,Mathematics - Optimization and Control ,Statistics - Machine Learning - Abstract
Federated learning is a useful framework for centralized learning from distributed data under practical considerations of heterogeneity, asynchrony, and privacy. Federated architectures are frequently deployed in deep learning settings, which generally give rise to non-convex optimization problems. Nevertheless, most existing analysis are either limited to convex loss functions, or only establish first-order stationarity, despite the fact that saddle-points, which are first-order stationary, are known to pose bottlenecks in deep learning. We draw on recent results on the second-order optimality of stochastic gradient algorithms in centralized and decentralized settings, and establish second-order guarantees for a class of federated learning algorithms.
- Published
- 2020
134. Social learning under inferential attacks
- Author
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Ntemos, Konstantinos, Bordignon, Virginia, Vlaski, Stefan, and Sayed, Ali H.
- Subjects
Electrical Engineering and Systems Science - Systems and Control - Abstract
A common assumption in the social learning literature is that agents exchange information in an unselfish manner. In this work, we consider the scenario where a subset of agents aims at driving the network beliefs to the wrong hypothesis. The adversaries are unaware of the true hypothesis. However, they will "blend in" by behaving similarly to the other agents and will manipulate the likelihood functions used in the belief update process to launch inferential attacks. We will characterize the conditions under which the network is misled. Then, we will explain that it is possible for such attacks to succeed by showing that strategies exist that can be adopted by the malicious agents for this purpose. We examine both situations in which the agents have minimal or no information about the network model., Comment: 5 pages, 2 figures
- Published
- 2020
135. Optimal Importance Sampling for Federated Learning
- Author
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Rizk, Elsa, Vlaski, Stefan, and Sayed, Ali H.
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Computer Science - Machine Learning ,Computer Science - Distributed, Parallel, and Cluster Computing - Abstract
Federated learning involves a mixture of centralized and decentralized processing tasks, where a server regularly selects a sample of the agents and these in turn sample their local data to compute stochastic gradients for their learning updates. This process runs continually. The sampling of both agents and data is generally uniform; however, in this work we consider non-uniform sampling. We derive optimal importance sampling strategies for both agent and data selection and show that non-uniform sampling without replacement improves the performance of the original FedAvg algorithm. We run experiments on a regression and classification problem to illustrate the theoretical results.
- Published
- 2020
136. Gramian-Based Adaptive Combination Policies for Diffusion Learning over Networks
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Erginbas, Y. Efe, Vlaski, Stefan, and Sayed, Ali H.
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Computer Science - Multiagent Systems ,Computer Science - Distributed, Parallel, and Cluster Computing ,Electrical Engineering and Systems Science - Signal Processing - Abstract
This paper presents an adaptive combination strategy for distributed learning over diffusion networks. Since learning relies on the collaborative processing of the stochastic information at the dispersed agents, the overall performance can be improved by designing combination policies that adjust the weights according to the quality of the data. Such policies are important because they would add a new degree of freedom and endow multi-agent systems with the ability to control the flow of information over their edges for enhanced performance. Most adaptive and static policies available in the literature optimize certain performance metrics related to steady-state behavior, to the detriment of transient behavior. In contrast, we develop an adaptive combination rule that aims at optimizing the transient learning performance, while maintaining the enhanced steady-state performance obtained using policies previously developed in the literature.
- Published
- 2020
137. Network Classifiers Based on Social Learning
- Author
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Bordignon, Virginia, Vlaski, Stefan, Matta, Vincenzo, and Sayed, Ali H.
- Subjects
Electrical Engineering and Systems Science - Signal Processing ,Computer Science - Machine Learning ,Computer Science - Multiagent Systems - Abstract
This work proposes a new way of combining independently trained classifiers over space and time. Combination over space means that the outputs of spatially distributed classifiers are aggregated. Combination over time means that the classifiers respond to streaming data during testing and continue to improve their performance even during this phase. By doing so, the proposed architecture is able to improve prediction performance over time with unlabeled data. Inspired by social learning algorithms, which require prior knowledge of the observations distribution, we propose a Social Machine Learning (SML) paradigm that is able to exploit the imperfect models generated during the learning phase. We show that this strategy results in consistent learning with high probability, and it yields a robust structure against poorly trained classifiers. Simulations with an ensemble of feedforward neural networks are provided to illustrate the theoretical results., Comment: to appear in ICASSP 2021
- Published
- 2020
138. Graph-Homomorphic Perturbations for Private Decentralized Learning
- Author
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Vlaski, Stefan and Sayed, Ali H.
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Computer Science - Machine Learning ,Computer Science - Distributed, Parallel, and Cluster Computing ,Computer Science - Multiagent Systems ,Electrical Engineering and Systems Science - Signal Processing ,Mathematics - Optimization and Control - Abstract
Decentralized algorithms for stochastic optimization and learning rely on the diffusion of information as a result of repeated local exchanges of intermediate estimates. Such structures are particularly appealing in situations where agents may be hesitant to share raw data due to privacy concerns. Nevertheless, in the absence of additional privacy-preserving mechanisms, the exchange of local estimates, which are generated based on private data can allow for the inference of the data itself. The most common mechanism for guaranteeing privacy is the addition of perturbations to local estimates before broadcasting. These perturbations are generally chosen independently at every agent, resulting in a significant performance loss. We propose an alternative scheme, which constructs perturbations according to a particular nullspace condition, allowing them to be invisible (to first order in the step-size) to the network centroid, while preserving privacy guarantees. The analysis allows for general nonconvex loss functions, and is hence applicable to a large number of machine learning and signal processing problems, including deep learning.
- Published
- 2020
139. Dif-MAML: Decentralized Multi-Agent Meta-Learning
- Author
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Kayaalp, Mert, Vlaski, Stefan, and Sayed, Ali H.
- Subjects
Computer Science - Machine Learning ,Computer Science - Multiagent Systems - Abstract
The objective of meta-learning is to exploit the knowledge obtained from observed tasks to improve adaptation to unseen tasks. As such, meta-learners are able to generalize better when they are trained with a larger number of observed tasks and with a larger amount of data per task. Given the amount of resources that are needed, it is generally difficult to expect the tasks, their respective data, and the necessary computational capacity to be available at a single central location. It is more natural to encounter situations where these resources are spread across several agents connected by some graph topology. The formalism of meta-learning is actually well-suited to this decentralized setting, where the learner would be able to benefit from information and computational power spread across the agents. Motivated by this observation, in this work, we propose a cooperative fully-decentralized multi-agent meta-learning algorithm, referred to as Diffusion-based MAML or Dif-MAML. Decentralized optimization algorithms are superior to centralized implementations in terms of scalability, avoidance of communication bottlenecks, and privacy guarantees. The work provides a detailed theoretical analysis to show that the proposed strategy allows a collection of agents to attain agreement at a linear rate and to converge to a stationary point of the aggregate MAML objective even in non-convex environments. Simulation results illustrate the theoretical findings and the superior performance relative to the traditional non-cooperative setting.
- Published
- 2020
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140. The Future of the Correlated Electron Problem
- Author
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Alexandradinata, A., Armitage, N. P., Baydin, Andrey, Bi, Wenli, Cao, Yue, Changlani, Hitesh J., Chertkov, Eli, Neto, Eduardo H. da Silva, Delacretaz, Luca, Baggari, Ismail El, Ferguson, G. M., Gannon, William J., Ghorashi, Sayed Ali Akbar, Goodge, Berit H., Goulko, Olga, Grissonnanche, G., Hallas, Alannah, Hayes, Ian M., He, Yu, Huang, Edwin W., Kogar, Anshul, Kumah, Divine, Lee, Jong Yeon, Legros, A., Mahmood, Fahad, Maximenko, Yulia, Pellatz, Nick, Polshyn, Hryhoriy, Sarkar, Tarapada, Scheie, Allen, Seyler, Kyle L., Shi, Zhenzhong, Skinner, Brian, Steinke, Lucia, Thirunavukkuarasu, K., Trevisan, Thaís Victa, Vogl, Michael, Volkov, Pavel A., Wang, Yao, Wang, Yishu, Wei, Di, Wei, Kaya, Yang, Shuolong, Zhang, Xian, Zhang, Ya-Hui, Zhao, Liuyan, and Zong, Alfred
- Subjects
Condensed Matter - Strongly Correlated Electrons - Abstract
A central problem in modern condensed matter physics is the understanding of materials with strong electron correlations. Despite extensive work, the essential physics of many of these systems is not understood and there is very little ability to make predictions in this class of materials. In this manuscript we share our personal views on the major open problems in the field of correlated electron systems. We discuss some possible routes to make progress in this rich and fascinating field. This manuscript is the result of the vigorous discussions and deliberations that took place at Johns Hopkins University during a three-day workshop January 27, 28, and 29, 2020 that brought together six senior scientists and 46 more junior scientists. Our hope, is that the topics we have presented will provide inspiration for others working in this field and motivation for the idea that significant progress can be made on very hard problems if we focus our collective energies., Comment: 55 pages, 19 figures
- Published
- 2020
141. Critical Evaluation of the Foundations of Equality in Bisexual Education Based on the Moral Teachings of Islam
- Author
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Seyedeh Zahra Mousavi, Mohammad Javad Falah, and Sayed Ali Hosseinizadeh
- Subjects
bisexual education ,foundations of bisexual education ,equality between men and women ,educational review ,islamic ethics ,Education (General) ,L7-991 ,Islam ,BP1-253 - Abstract
The new approach to bisexual education defines a new form of gender role that requires female and male characteristics for both sexes equally. One of the most important principles that is emphasized in this approach is “equality”. The basis of Islamic ethics in dealing with male and female gender is paying attention to the differences and roles according to the female and male genetic characteristics. The type of this study is library research. It evaluates and criticizes the basis of equality in bisexual education through a descriptive and analytical method, with an approach to Islamic ethics based on the Islamic sources, as well as the sources related to the main subject, including psychology, sociology and women’s studies. The findings of this study show that the Islamic ethics considers men and women, due to their commonalities in terms of value, as equal in value, but regards them as having special duties due to their difference, talents and abilities - as a natural right. Paying attention and observing them will lead to the achievement of the happiness for the individual and the society. Islamic ethics does not accept such similarity based on the men’s and women’s genetic equality in creation.
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- 2023
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142. The Role of Museum’s Dynamic Identities in Enhancing Receiver ’s loyalty
- Author
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Nermin El Sayed Ali Ahmed Abd El Halim
- Subjects
dynamic identity ,receiver loyalty ,visual identity ,Architecture ,NA1-9428 - Abstract
Museums are an important part of the peoples’ culture, as they are the visible part of their culture, history and trends, but rather they are one of the cultural organizations that build and reflect the awareness of societies at the same time, moreover being an important part of cultural tourism linked to the culture of society.Nowadays ,the development and digital media led to the need of emphasizing the museums’ identity as a cultural organization and its extension in digital world and to find innovative communication methods as a strategic option to interact with the receiver and emphasize identity with these changes in order to ensure its existence and continuity and keep the receiver loyalty thus enrich the visual culture. Technology has given the visual identities design a great opportunity for creativity and clearness, diverse and flexibleResearch problem: What are the structural elements of dynamic identity and the methods of their application.Research objective: 1- The lack of studies about museums identity in general and dynamic identity in particular2- Applying modern design methods in building a dynamic identity for museums that reflect their value and originality and have the ability to change and adapt with traditional and modern digital mediaFor this purpose, the research follows the descriptive approach based on collecting information to build a theoretical framework based on previous and analytical studies for the visual identities of some international museums
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- 2023
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143. Effect of periodic of resistance training on lipid peroxidation and Tumor necrosis factor-alpha in the heart tissue of male rats exposed to stanazol
- Author
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Mojtaba Shojaeyan, Bahram Abedi, and Sayed Ali Hosseini
- Subjects
anabolic steroid ,malondialdehyde ,resistance training ,tumor necrosis factor-alpha ,Medicine ,Medicine (General) ,R5-920 - Abstract
Background and Aims: Nowadays, the use of energizing substances has become a complex complicated problem in sports and causes damage to various tissues., on the other hand However, sports activity has a significant impact on controlling and improving oxidative stress factors and inflammatory indicators. Therefore, this study aimed to investigate the effect of eight- weeks of resistance training on lipid peroxidation (malondialdehyde [MDA]MDA) and tumor necrosis factor-alpha (TNF-α) in the heart tissue of rats exposed to stanazol. Materials and Methods: In this experimental study, 24 male rats with a weight range of 150-200 g and a mean age of 8 weeks were selected and randomly divided into 4 groups (n=6 each), namely 1) control (C), 2) sham (Sh), 3) consumption of stanazol (S), and 4) consumption of stanazol together with resistance training (S+RT). During eight weeks, both groups of 3 and 4 received 5 mg/kg stanazol intraperitoneally daily; however, group 4 performed resistance training three times a week with an intensity of 30%-100% of their body weight. A one-way variance analysis and Tukey's post hoc test were used to analyze the data (P
- Published
- 2023
144. Evaluation of diastolic dysfunction in children with hypertrophic cardiomyopathy and its relationship with development of myocardial fibrosis
- Author
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Salem Elsayed Deraz, Omar Deyaa Esmat, Rehab Galal Abd El-Hmid, and Sayed Ali Amin
- Subjects
Hypertrophic cardiomyopathy ,Myocardial fibrosis ,Diastolic dysfunction ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Abstract Background Patients with hypertrophic cardiomyopathy may develop symptoms of shortness of breathing due to diastolic dysfunction which is not related to the severity of left ventricular outflow tract obstruction. As these patients usually develop a non-ischemic pattern of myocardial fibrosis, this may represent a mechanism for increased myocardial stiffness leading to impaired diastolic filling. The study aimed to determine the prevalence of myocardial fibrosis assessed by magnetic resonance imaging in children with hypertrophic cardiomyopathy and to evaluate its relationship with echocardiographic parameters including left ventricle diastolic dysfunction and to find echocardiographic indices which correlates with myocardial fibrosis as detected by cardiac magnetic resonance. A cross-sectional study was done for data of 50 children with hypertrophic cardiomyopathy from July 2018 to July 2021, patients were divided into (group 1) having myocardial fibrosis and (group 2) with no myocardial fibrosis, and results of echocardiographic parameters were compared between the two groups. Results Results showed strong relationship between presence of myocardial fibrosis and each of the following: Interventricular septum thickness, lower lateral and septal early diastolic tissue velocities (E′), E/E′ ratio, presence of left ventricular out flow tract obstruction and the grade of diastolic dysfunction. Conclusions The trans-mitral lateral and septal E/E′ (early mitral inflow to early diastolic mitral annular velocity ratio) allows early detection of left ventricular diastolic dysfunction in children with hypertrophic cardiomyopathy. The prevalence of diastolic dysfunction is higher in obstructive hypertrophic cardiomyopathy. The diastolic dysfunction severity is higher in patients with myocardial fibrosis.
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- 2023
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145. Fe Doping in TiO2 via Anodic Dissolution of Iron: Synthesis, Characterization, and Electrophoretic Deposition on a Metal Substrate
- Author
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Sara Chatrnoor, Amirhossein Taghaddosi, Sayed Ali Ahmad Alem, Fatemeh Taati-Asil, Babak Raissi, Reza Riahifar, and Maziar Sahba Yaghmaee
- Subjects
anodic dissolution ,electrophoretic deposition ,TiO2 ,nanoparticle ,band-gap engineering ,Technology ,Chemical technology ,TP1-1185 - Abstract
The tailored physical properties of TiO2 are of significant importance in various fields and, as such, numerous methods for modifying these properties have been introduced. In this study, we present a novel method for doping Fe into TiO2 via the anodic dissolution of iron. The optimal conditions were determined to be an application of 200 V to acetylacetone (acac)/EtOH medium for 10 min, followed by the addition of TiO2 to the solution, sonication for 30 min, stirring at 80 °C, and drying. The resulting powder was calcined at 400 °C for 3 h, and characterization was conducted using XRD, FTIR, TEM, and UV-vis. The synthesized powder revealed the successful doping of Fe into the TiO2 structure, resulting in a decrease in the optical band gap from 3.22 to 2.92 eV. The Fe-TiO2 was then deposited on a metal substrate via the electrophoretic (EPD) technique, and the weight of the deposited layer was measured as a function of the applied voltage and exposure time. FESEM images and EDX analysis confirmed that the deposited layer was nanostructured, with Fe evenly distributed throughout the structure.
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- 2023
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146. تمثال ملكى جماعى يمثل الملك (سنوسرت الأول –امنمحات الأول – منتوحتب الثانى –سنفرو؟) المتحف المصرى الكبير GEM1334 A Royal Group Statue Representing the king (Senusret I - Amenemhat I - Mentuhotep II - Sneferu?). The Grand Egyptian Museum GEM1334- SR3/9796.
- Author
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Reham Sayed Ali Abd Rabbo
- Subjects
statue ,serabit al-khadim ,temple of hathor ,senusret i ,sneferu ,mentuhotep ii ,mentuhotep iii ,تمثال ,سرابيط الخادم ,معبد حتحور ,سنوسرت الأول ,سنفرو؛ منتوحتب الثانى ,منتوحتب الثالث. ,Archaeology ,CC1-960 - Abstract
{AR} يتناول هذا البحث تمثالاً ملكياً جماعياً رباعياً يمثل الملك ( سنوسرت الأول ،أمنمحات الأول ، منتوحتب الثانى، سنفرو؟)، من الحجر الرملى وهو فى فى حالة سيئة ، محفوظ حاليا فى المتحف المصرى الكبير GEM1334 ، وقد عثر عليه فى معبد سرابيط الخادم للإلهة حتحور(جنوب سيناء) صالة الأعمدة، والتمثالُ إهداء من الملك "سنوسرت الأول" لإحياء ذكرى الأسلاف وهو عبارة عن تمثال ملكى لأربعة ملوك فى وضع الجلوس مستندين على ركبهم بجوار بعضهم البعض، وأيديهم مفرودة على مائدة قرابين والرؤوس مفقودة، وتتمحور إشكالية البحث حول ماهية التمثال الأخير، إذ نتيجة حالة التمثالُ فُقد الاسم الأخير للملك وتعددت الآراء حول ما إذا كان يمثل الملك سنفرو أم يُمثل الملك منتوحتب الثالث . {EN } The research studies a quartet royal statue representing the king (Senusret I - Amenemhat I - Mentuhotep II - and Sneferu?). It was made out of Sandstone, in poor condition, and currently preserved in the Grand Egyptian Museum GEM1334-SR3/9796. It was discovered in the pillared hall of Hathor temple at Serabit al-Khadim (South Sinai). The statue is a gift from King "Senusret the First" to commemorate the ancestors. It is a royal statue of four kings in a sitting position, kneeling next to each other, with their hands spread out on an offering table, and their heads are missed. The condition of the final statue is a matter of concern due to its poor condition, its name was missed, and there were many opinions about whether it represented King Sneferu or King Mentuhotep III.
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- 2023
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147. Surface modification toughening of partially stabilized zirconia ceramics: by sub-eutectoid solution annealing
- Author
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M. El-Sayed Ali, S. El-Houte, Omyma H. Ibrahim, Kolthoum I. Othman, and A. A. Hassan
- Subjects
Sub-eutectoid ,Solution annealing ,Transformable tetragonal precipitates ,Surface modification toughening ,Decomposition reaction ,Science ,Technology - Abstract
Abstract In this investigation, surface modification toughening of partially stabilized zirconia ceramics, by sub-eutectoid solution annealing, has been performed. The Zr0.918Mg0.068Y0.014O1.925 designated (MZY) was prepared by mixing Magnesia Partially Stabilized Zirconia (MZ9) and Yttria Tetragonal Zirconia (TZ3Y) Polycrystal commercial powders using wet ball milling. The mechanical properties and microstructure of the MZY were investigated. XRD and SEM were used for phase analysis and microstructure examination of the sintered samples’ surfaces. The fracture toughness and hardness of the sintered compacts were determined by the Vickers indentation technique. The physical and mechanical properties of MZY were compared to those of MZ9 ceramics prepared under the same conditions. The results showed that, the Yttria addition inhibited the exaggerated growth of the tetragonal precipitates during sintering. The MZY showed a maximum in the fracture toughness of 12.9 MPa√m upon sub-eutectoid solution annealing at 1000 °C for 150 h, while the tetragonal precipitates in the MZ9 lost coherence due to their spontaneous massive transformation to the monoclinic phase via the decomposition reaction.
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- 2023
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- View/download PDF
148. Neutrophil to high-density lipoprotein cholesterol ratio as the risk mark in patients with type 2 diabetes combined with acute coronary syndrome: a cross-sectional study
- Author
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Hao Ren, Botao Zhu, Zhenyu Zhao, Yuan Li, Guiyuan Deng, Zewei Wang, Boyan Ma, Yuxin Feng, Zaiqiu Zhang, Xiaoxuan Zhao, Md Sayed Ali Sheikh, and Ke Xia
- Subjects
Medicine ,Science - Abstract
Abstract Chronic inflammation and dyslipidemia are important risk factors in developing atherosclerotic cardiovascular disease, such as coronary heart disease. Acute coronary syndrome (ACS) is one of the most dangerous syndromes in coronary heart disease. Type 2 diabetes mellitus (T2DM) is considered equal to coronary heart disease owing to the high cardiac risk induced by chronic inflammation and dyslipidemia. The neutrophil to high-density lipoprotein cholesterol ratio (NHR) is a novel and straightforward marker that reflects inflammation and lipid metabolic disorder. However, few studies have been on the role of NHR in assessing the risk of ACS in T2DM patients. Here we analyzed NHR level in ACS patients with T2DM, exploring its predictive and diagnostic values. 211 hospitalized ACS patients with T2DM were recruited as the case group, and 168 hospitalized T2DM patients as the control group (all patients collected from 6/2020 to 12/2021 in Xiangya Hospital). Biochemical test results and echocardiograms, as well as demographic information such as age, BMI, diabetes mellitus, smoking, drinking, and history of hypertension, were recorded. Frequencies, percentages, means, and standard deviations were used to describe the data. The shapiro–Wilk test was used to assess the normality of the data. Normally distributed data were compared using the independent sample T-test, and non-normally distributed data were compared using Mann–Whitney U test. Correlation analysis was performed using the Spearman rank correlation test, and receiver operating characteristic (ROC) curve analysis and multivariable logistic regression analysis were performed by SPSS version 24.0 (SPSS Inc) and GraphPad Prism 9.0 (GraphPad Software Inc). p
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- 2023
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149. Effect of fetuin-A on adenine-induced chronic kidney disease model in male rats
- Author
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Wesam Ashour, Mohamed Sayed Ahmed Zamzam, Heba Essam El Din El Sayed Ali, and Reham Hassan Ebrahim
- Subjects
adenine ,chronic renal failure ,fetuin-a ,inflammation ,kidney function tests ,Medicine - Abstract
Objective(s): This study aimed to investigate the possible effects of fetuin-A on an adenine-induced chronic kidney disease (CKD) model in male rats. Materials and Methods: Rats were divided into three groups: group A included rats fed a normal diet; group B included rats fed a normal diet with 220 mg/kg adenine daily for 21 days; group C included rats fed a normal diet with 220 mg/kg adenine daily for 21 days and intraperitoneally administered with 5 mg\kg fetuin-A every other day for 2 weeks. Serum samples were assayed for serum creatinine, urea, sodium, potassium, calcium, phosphorus, tumor necrosis factor (TNF), interleukin-6 (IL-6), and estimated glomerular filtration rate (eGFR), and immunohistochemical staining was performed.Results: Group B showed a significant increase in serum creatinine, urea, phosphorus, potassium, TNF, and IL-6 and a significant decrease in serum sodium, calcium, and eGFR compared with group A. Regarding immunohistochemistry, group B showed increased apoptosis. In group C, fetuin-A reduced the urea, creatinine, and phosphorus levels, and in group C, fetuin-A decreased inflammation and apoptosis by reduction of caspase-3 staining.Conclusion: Fetuin-A improved kidney function in CKD due to its anti-inflammatory and anti-fibrotic role.
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- 2023
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150. Berberine up‐regulates miR‐340‐5p to protect myocardial ischaemia/reperfusion from HMGB1‐mediated inflammatory injury
- Author
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Tianyi Long, Wei Pan, Fei Li, Sayed Ali Sheikh, Qiying Xie, and Chenglong Zhang
- Subjects
MIRI ,Berberine ,MiR‐340‐5p ,HMGB1 ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Abstract Aims Myocardial ischaemia/reperfusion injury (MIRI) is a major cause of heart failure after myocardial infarction. Berberine (BBR) presents anti‐inflammatory and immunosuppressive properties in many diseases. Our research looked into the therapeutic effects and mechanism of BBR in MIRI. Methods and results MIRI animal and cell models were established. The mRNA and protein expressions were assessed using reverse transcription and quantitative real‐time polymerase chain reaction and western blot. The haemodynamic parameters (left ventricular ejection fraction and left ventricular ejection fraction) were detected by echocardiography. The myocardial infarct size and myocardium lesion were assessed by triphenyltetrazolium chloride and haematoxylin–eosin staining. The levels of injury factors were determined by ELISA. Terminal deoxynucleotidyl transferase‐mediated dUTP nick‐end labelling staining was performed to analyse cell apoptosis. Dual luciferase reporter gene and RNA immunoprecipitation assays were carried out to verify the interaction between miR‐340‐5p and HMGB1. BBR administration could improve the haemodynamic parameters and infarct size in MIRI rats (all P
- Published
- 2023
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