King Abdulaziz City for Science and Technology

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King Abdulaziz City for Science and Technology
Short name
KACST
Country, city
Saudi Arabia, Riyadh
Publications
3 988
Citations
111 889
h-index
129
Top-3 journals
Scientific Reports
Scientific Reports (53 publications)
Polymers
Polymers (52 publications)
Top-3 organizations
Top-3 foreign organizations

Most cited in 5 years

Zhang Q., Bastard P., Liu Z., Le Pen J., Moncada-Velez M., Chen J., Ogishi M., Sabli I.K., Hodeib S., Korol C., Rosain J., Bilguvar K., Ye J., Bolze A., Bigio B., et. al.
Science scimago Q1 wos Q1 Open Access
2020-10-23 citations by CoLab: 1723 PDF Abstract  
The genetics underlying severe COVID-19 The immune system is complex and involves many genes, including those that encode cytokines known as interferons (IFNs). Individuals that lack specific IFNs can be more susceptible to infectious diseases. Furthermore, the autoantibody system dampens IFN response to prevent damage from pathogen-induced inflammation. Two studies now examine the likelihood that genetics affects the risk of severe coronavirus disease 2019 (COVID-19) through components of this system (see the Perspective by Beck and Aksentijevich). Q. Zhang et al. used a candidate gene approach and identified patients with severe COVID-19 who have mutations in genes involved in the regulation of type I and III IFN immunity. They found enrichment of these genes in patients and conclude that genetics may determine the clinical course of the infection. Bastard et al. identified individuals with high titers of neutralizing autoantibodies against type I IFN-α2 and IFN-ω in about 10% of patients with severe COVID-19 pneumonia. These autoantibodies were not found either in infected people who were asymptomatic or had milder phenotype or in healthy individuals. Together, these studies identify a means by which individuals at highest risk of life-threatening COVID-19 can be identified. Science, this issue p. eabd4570, p. eabd4585; see also p. 404 A large immunological and genomics study of COVID-19 patients reveals excess mutations in the type I IFN pathway. INTRODUCTION Clinical outcomes of human severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection range from silent infection to lethal coronavirus disease 2019 (COVID-19). Epidemiological studies have identified three risk factors for severe disease: being male, being elderly, and having other medical conditions. However, interindividual clinical variability remains huge in each demographic category. Discovering the root cause and detailed molecular, cellular, and tissue- and body-level mechanisms underlying life-threatening COVID-19 is of the utmost biological and medical importance. RATIONALE We established the COVID Human Genetic Effort (www.covidhge.com) to test the general hypothesis that life-threatening COVID-19 in some or most patients may be caused by monogenic inborn errors of immunity to SARS-CoV-2 with incomplete or complete penetrance. We sequenced the exome or genome of 659 patients of various ancestries with life-threatening COVID-19 pneumonia and 534 subjects with asymptomatic or benign infection. We tested the specific hypothesis that inborn errors of Toll-like receptor 3 (TLR3)– and interferon regulatory factor 7 (IRF7)–dependent type I interferon (IFN) immunity that underlie life-threatening influenza pneumonia also underlie life-threatening COVID-19 pneumonia. We considered three loci identified as mutated in patients with life-threatening influenza: TLR3, IRF7, and IRF9. We also considered 10 loci mutated in patients with other viral illnesses but directly connected to the three core genes conferring influenza susceptibility: TICAM1/TRIF, UNC93B1, TRAF3, TBK1, IRF3, and NEMO/IKBKG from the TLR3-dependent type I IFN induction pathway, and IFNAR1, IFNAR2, STAT1, and STAT2 from the IRF7- and IRF9-dependent type I IFN amplification pathway. Finally, we considered various modes of inheritance at these 13 loci. RESULTS We found an enrichment in variants predicted to be loss-of-function (pLOF), with a minor allele frequency
Chaves A., Azadani J.G., Alsalman H., da Costa D.R., Frisenda R., Chaves A.J., Song S.H., Kim Y.D., He D., Zhou J., Castellanos-Gomez A., Peeters F.M., Liu Z., Hinkle C.L., Oh S., et. al.
2020-08-24 citations by CoLab: 829 PDF Abstract  
Semiconductors are the basis of many vital technologies such as electronics, computing, communications, optoelectronics, and sensing. Modern semiconductor technology can trace its origins to the invention of the point contact transistor in 1947. This demonstration paved the way for the development of discrete and integrated semiconductor devices and circuits that has helped to build a modern society where semiconductors are ubiquitous components of everyday life. A key property that determines the semiconductor electrical and optical properties is the bandgap. Beyond graphene, recently discovered two-dimensional (2D) materials possess semiconducting bandgaps ranging from the terahertz and mid-infrared in bilayer graphene and black phosphorus, visible in transition metal dichalcogenides, to the ultraviolet in hexagonal boron nitride. In particular, these 2D materials were demonstrated to exhibit highly tunable bandgaps, achieved via the control of layers number, heterostructuring, strain engineering, chemical doping, alloying, intercalation, substrate engineering, as well as an external electric field. We provide a review of the basic physical principles of these various techniques on the engineering of quasi-particle and optical bandgaps, their bandgap tunability, potentials and limitations in practical realization in future 2D device technologies.
Hanikel N., Prévot M.S., Yaghi O.M.
Nature Nanotechnology scimago Q1 wos Q1
2020-05-04 citations by CoLab: 539 Abstract  
The advancement of additional methods for freshwater generation is imperative to effectively address the global water shortage crisis. In this regard, extraction of the ubiquitous atmospheric moisture is a powerful strategy allowing for decentralized access to potable water. The energy requirements as well as the temporal and spatial restrictions of this approach can be substantially reduced if an appropriate sorbent is integrated in the atmospheric water generator. Recently, metal–organic frameworks (MOFs) have been successfully employed as sorbents to harvest water from air, making atmospheric water generation viable even in desert environments. Herein, the latest progress in the development of MOFs capable of extracting water from air and the design of atmospheric water harvesters deploying such MOFs are reviewed. Furthermore, future directions for this emerging field, encompassing both material and device improvements, are outlined. The latest progress in the development of metal–organic frameworks and their integration in an apparatus for water harvesting are reviewed.
El-Saber Batiha G., Magdy Beshbishy A., G. Wasef L., Elewa Y.H., A. Al-Sagan A., Abd El-Hack M.E., Taha A.E., M. Abd-Elhakim Y., Prasad Devkota H.
Nutrients scimago Q1 wos Q1 Open Access
2020-03-24 citations by CoLab: 481 PDF Abstract  
Medicinal plants have been used from ancient times for human healthcare as in the form of traditional medicines, spices, and other food components. Garlic (Allium sativum L.) is an aromatic herbaceous plant that is consumed worldwide as food and traditional remedy for various diseases. It has been reported to possess several biological properties including anticarcinogenic, antioxidant, antidiabetic, renoprotective, anti-atherosclerotic, antibacterial, antifungal, and antihypertensive activities in traditional medicines. A. sativum is rich in several sulfur-containing phytoconstituents such as alliin, allicin, ajoenes, vinyldithiins, and flavonoids such as quercetin. Extracts and isolated compounds of A. sativum have been evaluated for various biological activities including antibacterial, antiviral, antifungal, antiprotozoal, antioxidant, anti-inflammatory, and anticancer activities among others. This review examines the phytochemical composition, pharmacokinetics, and pharmacological activities of A. sativum extracts as well as its main active constituent, allicin.
Levy O., Kuai R., Siren E.M., Bhere D., Milton Y., Nissar N., De Biasio M., Heinelt M., Reeve B., Abdi R., Alturki M., Fallatah M., Almalik A., Alhasan A.H., Shah K., et. al.
Science advances scimago Q1 wos Q1 Open Access
2020-07-24 citations by CoLab: 451 PDF Abstract  
To realize the potential of MSCs, bioengineering is needed to boost potency and control heterogeneity.
Khan S., Naushad M., Govarthanan M., Iqbal J., Alfadul S.M.
Environmental Research scimago Q1 wos Q1
2022-05-01 citations by CoLab: 427 Abstract  
Wastewater is contaminated water that must be treated before it may be transferred into other rivers and lakes in order to prevent further groundwater pollution. Over the last decade, research has been conducted on a wide variety of contaminants, but the emerging contaminants are those caused primarily by micropollutants, endocrine disruptors (EDs), pesticides, pharmaceuticals, hormones, and toxins, as well as industrially-related synthetic dyes and dye-containing hazardous pollutants. Most emerging pollutants did not have established guidelines, but even at low concentrations they could have harmful effects on humans and aquatic organisms. In order to combat the above ecological threats, huge efforts have been done with a view to boosting the effectiveness of remediation procedures or developing new techniques for the detection, quantification and efficiency of the samples. The increase of interest in biotechnology and environmental engineering gives an opportunity for the development of more innovative ways to water treatment remediation. The purpose of this article is to provide an overview of emerging sources of contaminants, detection technologies, and treatment strategies. The goal of this review is to evaluate adsorption as a method for treating emerging pollutants, as well as sophisticated and cost-effective approaches for treating emerging contaminants.
Jie X., Li W., Slocombe D., Gao Y., Banerjee I., Gonzalez-Cortes S., Yao B., AlMegren H., Alshihri S., Dilworth J., Thomas J., Xiao T., Edwards P.
Nature Catalysis scimago Q1 wos Q1
2020-10-12 citations by CoLab: 382 Abstract  
The ubiquitous challenge of plastic waste has led to the modern descriptor plastisphere to represent the human-made plastic environment and ecosystem. Here we report a straightforward rapid method for the catalytic deconstruction of various plastic feedstocks into hydrogen and high-value carbons. We use microwaves together with abundant and inexpensive iron-based catalysts as microwave susceptors to initiate the catalytic deconstruction process. The one-step process typically takes 30–90 s to transform a sample of mechanically pulverized commercial plastic into hydrogen and (predominantly) multiwalled carbon nanotubes. A high hydrogen yield of 55.6 mmol  $${\mathrm{g}}_{\mathrm{plastic}}^{ - 1}$$ is achieved, with over 97% of the theoretical mass of hydrogen being extracted from the deconstructed plastic. The approach is demonstrated on widely used, real-world plastic waste. This proof-of-concept advance highlights the potential of plastic waste itself as a valuable energy feedstock for the production of hydrogen and high-value carbon materials. The valorisation of plastic waste is highly desirable from an environmental perspective but generally yields low-value products. Now a method is disclosed to deconstruct plastic feedstocks into high-value hydrogen and carbon materials by means of an iron-based catalyst under microwave irradiation.
Wheeler M.A., Clark I.C., Tjon E.C., Li Z., Zandee S.E., Couturier C.P., Watson B.R., Scalisi G., Alkwai S., Rothhammer V., Rotem A., Heyman J.A., Thaploo S., Sanmarco L.M., Ragoussis J., et. al.
Nature scimago Q1 wos Q1
2020-02-12 citations by CoLab: 344 Abstract  
Multiple sclerosis is a chronic inflammatory disease of the CNS1. Astrocytes contribute to the pathogenesis of multiple sclerosis2, but little is known about the heterogeneity of astrocytes and its regulation. Here we report the analysis of astrocytes in multiple sclerosis and its preclinical model experimental autoimmune encephalomyelitis (EAE) by single-cell RNA sequencing in combination with cell-specific Ribotag RNA profiling, assay for transposase-accessible chromatin with sequencing (ATAC–seq), chromatin immunoprecipitation with sequencing (ChIP–seq), genome-wide analysis of DNA methylation and in vivo CRISPR–Cas9-based genetic perturbations. We identified astrocytes in EAE and multiple sclerosis that were characterized by decreased expression of NRF2 and increased expression of MAFG, which cooperates with MAT2α to promote DNA methylation and represses antioxidant and anti-inflammatory transcriptional programs. Granulocyte–macrophage colony-stimulating factor (GM-CSF) signalling in astrocytes drives the expression of MAFG and MAT2α and pro-inflammatory transcriptional modules, contributing to CNS pathology in EAE and, potentially, multiple sclerosis. Our results identify candidate therapeutic targets in multiple sclerosis. Single-cell RNA sequencing of cells from humans with multiple sclerosis and mice with a model of the disease identifies a population of disease-promoting astrocytes in which anti-oxidant and anti-inflammatory proteins are suppressed.
Ji Z., Wang H., Canossa S., Wuttke S., Yaghi O.M.
Advanced Functional Materials scimago Q1 wos Q1
2020-05-15 citations by CoLab: 331 Abstract  
AbstractThe pores in metal–organic frameworks (MOFs) can be functionalized by placing chemical entities along the backbone and within the backbone. This chemistry is enabled by the architectural, thermal, and chemical robustness of the frameworks and the ability to characterize them by many diffraction and spectroscopic techniques. The pore chemistry of MOFs is articulated in terms of site isolation, coupling, and cooperation and relate that to their functions in guest recognition, catalysis, ion and electron transport, energy transfer, pore‐dynamic modulation, and interface construction. It is envisioned that the ultimate control of pore chemistry requires arranging functionalities into defined sequences and developing techniques for reading and writing such sequences within the pores.
Ali Z., Aman R., Mahas A., Rao G.S., Tehseen M., Marsic T., Salunke R., Subudhi A.K., Hala S.M., Hamdan S.M., Pain A., Alofi F.S., Alsomali A., Hashem A.M., Khogeer A., et. al.
Virus Research scimago Q2 wos Q3 Open Access
2020-10-01 citations by CoLab: 257 Abstract  
• RT-LAMP coupled with CRISPR-Cas12 provides a sensitive and specific virus detection platform. • iSCAN sensitivity and specificity are comparable with RT-qPCR. • iSCAN is a 1 h detection module that can help in testing in low resource areas. • iSCAN can be developed as a one-pot assay. • iSCAN reagents can be produced locally and deployed for SARS-CoV2 detection. The COVID-19 pandemic caused by SARS-CoV-2 affects all aspects of human life. Detection platforms that are efficient, rapid, accurate, specific, sensitive, and user friendly are urgently needed to manage and control the spread of SARS-CoV-2. RT-qPCR based methods are the gold standard for SARS-CoV-2 detection. However, these methods require trained personnel, sophisticated infrastructure, and a long turnaround time, thereby limiting their usefulness. Reverse transcription-loop-mediated isothermal amplification (RT-LAMP), a one-step nucleic acid amplification method conducted at a single temperature, has been used for colorimetric virus detection. CRISPR-Cas12 and CRISPR-Cas13 systems, which possess collateral activity against ssDNA and RNA, respectively, have also been harnessed for virus detection. Here, we built an efficient, rapid, specific, sensitive, user-friendly SARS-CoV-2 detection module that combines the robust virus amplification of RT-LAMP with the specific detection ability of SARS-CoV-2 by CRISPR-Cas12. Furthermore, we combined the RT-LAMP-CRISPR-Cas12 module with lateral flow cells to enable highly efficient point-of-care SARS-CoV-2 detection. Our iSCAN SARS-CoV-2 detection module, which exhibits the critical features of a robust molecular diagnostic device, should facilitate the effective management and control of COVID-19.
Alqahtani R.A., Alotibi G.N., Alotaiby T.N.
Electronics (Switzerland) scimago Q2 wos Q2 Open Access
2025-02-27 citations by CoLab: 0 PDF Abstract  
Fetal hypoxia is a condition that is caused by insufficient oxygen supply to the fetus and poses serious risks, including abnormalities, birth defects, and potential mortality. Cardiotocography (CTG) monitoring is commonly used to identify fetal distress, including hypoxia, by categorizing cases as normal or hypoxia. However, traditional CTG interpretation, usually performed visually by experts, can be subjective and error-prone, resulting in observer variability and inconsistent outcomes. It highlights the need for an automated and objective diagnostic system to assist clinicians in interpreting CTG data more accurately and consistently. In this research, a fetal hypoxia diagnosis system is proposed based on CTG signals. The CTG dataset is first transformed into the time-frequency domain using instantaneous frequency and using common spatial pattern (CSP) for feature extraction. Finally, the extracted features are then used to train and evaluate four machine learning models for classification with a cross-validation 5-fold methodology. Objective criteria (pH values, BDecf, Apgar 1, and Apgar 5) and expert voting as a subjective criterion were used to classify the fetus as normal or hypoxia. The SVM model outperformed other models in detecting fetal hypoxia, achieving high accuracy across pH, BDecf, Apgar1, Apgar5, and expert voting in all steps. It achieved over 98% accuracy across all objective criteria and steps.
Ahmed Y., Dutta K.R., Akhtar P., Hossen M.A., Alam M.J., Alharbi O.A., AlMohamadi H., Mohammad A.W.
2025-02-25 citations by CoLab: 0 Abstract  
In the constantly growing field of environmental sustainability, the threat of newly discovered pollutants, particularly antibiotics, has become a crucial concern. The widespread presence of these pharmaceutical substances in water sources presents a complex hazard to human health and ecological balance, requiring immediate and novel intervention techniques. Regarding this, semiconductor-based photocatalysts have appeared as promising candidates, providing a sustainable and efficient way to remove antibiotics from aquatic ecosystems. Nanomaterials can effectively and precisely break down and neutralize antibiotic compounds with high efficiency and selectivity by utilizing a complex interaction between radical reactive oxygen species and non-radical equivalents under light irradiation. Although photocatalysts have certain drawbacks, such as a limited capacity to absorb light and concerns about catalytic stability, photocatalysis outperforms other advanced oxidation processes in multiple aspects. This study focuses on summarizing recent advances in the sustainable removal of antibiotics using semiconductor-based photocatalysts. By reviewing the latest studies and sustainable technologies, this study presents new insights into the complex relationship between contaminants and catalytic degradation processes. Compared to single and binary photocatalysts, modified ternary composites were found to have superior photodegradation performance under visible light exposure. To be specific g-C3N4-based ternary photocatalysts exhibited more than 90% degradation of tetracycline and sulfamethazine antibiotics within one hour of irradiation. This study addresses the antibiotic degradation efficiency during photocatalytic processes and suggests new approaches to improve the performance and scalability for wider use in real-world situations.
Ali S.M., Noghanian S., Khan Z.U., Alzahrani S., Alharbi S., Alhartomi M., Alsulami R.
Sensors scimago Q1 wos Q2 Open Access
2025-02-24 citations by CoLab: 1 PDF Abstract  
The development of wearable sensor devices brings significant benefits to patients by offering real-time healthcare via wireless body area networks (WBANs). These wearable devices have gained significant traction due to advantageous features, including their lightweight nature, comfortable feel, stretchability, flexibility, low power consumption, and cost-effectiveness. Wearable devices play a pivotal role in healthcare, defence, sports, health monitoring, disease detection, and subject tracking. However, the irregular nature of the human body poses a significant challenge in the design of such wearable systems. This manuscript provides a comprehensive review of recent advancements in wearable and flexible smart sensor devices that can support the next generation of such sensor devices. Further, the development of direct ink writing (DIW) and direct writing (DW) methods has revolutionised new high-resolution integrated smart structures, enabling the design of next-generation soft, flexible, and stretchable wearable sensor devices. Recognising the importance of keeping academia and industry informed about cutting-edge technology and time-efficient fabrication tools, this manuscript also provides a thorough overview of the latest progress in various fabrication methods for wearable sensor devices utilised in WBAN and their evaluation using body phantoms. An overview of emerging challenges and future research directions is also discussed in the conclusion.
Al-Shikh S.A., Al-Ammar E.A., Alomari A.S.
Sustainability scimago Q1 wos Q2 Open Access
2025-02-19 citations by CoLab: 0 PDF Abstract  
The global push for clean hydrogen production has identified nuclear energy, particularly high-temperature gas-cooled reactors (HTGRs), as a promising solution due to their ability to provide high-temperature heat. This study conducted a techno-economic analysis of hydrogen production in Saudi Arabia using the pebble bed modular reactor (HTR-PM), focusing on two methods: high-temperature steam electrolysis (HTSE) and the sulfur–iodine (SI) thermochemical cycle. The Hydrogen Economic Evaluation Program (HEEP) was used to assess the economic viability of both methods, considering key production factors such as the discount rate, nuclear power plant (NPP) capital cost, and hydrogen plant efficiency. The results show that the SI cycle achieves a lower levelized cost of hydrogen (LCOH) at USD 1.22/kg H2 compared to HTSE at USD 1.47/kg H2, primarily due to higher thermal efficiency. Nonetheless, HTSE offers simpler system integration. Sensitivity analysis reveals that variations in the discount rate and NPP capital costs significantly impact both production methods, while hydrogen plant efficiency is crucial in determining overall economics. The findings contribute to the broader discourse on sustainable hydrogen production technologies by highlighting the potential of nuclear-driven methods to meet global decarbonization goals. The paper concludes that the HTR-PM offers a viable pathway for large-scale hydrogen production in Saudi Arabia, aligning with the Vision 2030 objectives.
Almegbel K., Tong K.
Sensors scimago Q1 wos Q2 Open Access
2025-02-18 citations by CoLab: 0 PDF Abstract  
Magneto-electric dipole (ME-dipole) antennas offer several advantages, including wide impedance bandwidth, stable high gain, unidirectional radiation, and low back-lobe radiation patterns, making them suitable for modern wireless communication systems. However, the thickness of conventional ME-dipole antennas is typically about a quarter wavelength (0.25λo) at the center operating frequency, which may not be desirable for portable device applications. This work introduces a new feeding method that reduces the antenna profile and ground plane size while maintaining the same advantages. A suspended horizontal line is proposed to excite the cavity-less ME-dipole antenna through proximity coupling. The measured results demonstrate a wide impedance bandwidth of 45.3% (ranging from 2.05 GHz to 3.25 GHz) and an average in-band gain of 9 dBi with stable ±1 dBi in-band variation with a ground reflector of size about 0.89λo2. More importantly, the cavity-less design reduces the overall thickness of the antenna to 0.17λo at the center operating frequency.
Nguyen H.L., Darù A., Chheda S., Alawadhi A.H., Neumann S.E., Wang L., Bai X., Alawad M.O., Borgs C., Chayes J.T., Sauer J., Gagliardi L., Yaghi O.M.
ACS Central Science scimago Q1 wos Q1 Open Access
2025-02-17 citations by CoLab: 1 PDF
Bouzidi M., Alatawi A., Mohamed N., Alshammari A., Mohamed M., Khan Z., Rhaiem A.
2025-02-17 citations by CoLab: 0 Abstract  
ABSTRACTThe CdSe nanocrystals were synthesized in an aqueous medium containing mercaptosuccinic acid (MSA). The X‐ray diffraction study verifies that CdSe‐MSA has a cubic phase. Scanning electron microscopy (SEM) images show an array of approximately spherical nanoparticles with very small sizes. The electrical and dielectric properties of these nanocrystals were studied using the complex impedance method. By analyzing Nyquist diagrams, we derived the equivalent circuit consisting of R//C//CPE for temperaturesT ≤ 413 K, with a Warburg element appearing for T > 413 K, confirming the diffusion of MSA on the surface of the nanocrystals. The relaxation time (τ) was deduced by analyzing the spectra of M" using the Bergman equation, which is defined by an activation energy (Ea) of 0.743 eV. The conductivity follows Jonscher's power law, with DC conductivity (σDC) increasing in phase I (T ≤ 413 K) and decreasing in phase II (T > 413 K). The variation of s as a function of temperature shows that the conductivity adheres to the single CBH model in the semiconductor domain. It is observed that the hopping distance (RW) decreases with temperature and frequency, which explains the increase in charge carriers and the rise in conductivity in this temperature range.
Alsaedi W.H., Aljuhani A., Alahmadi M., Qassium H., Hussein B.H., Alawad M.O., Khushaim M., Abu-Dief A.M.
2025-02-15 citations by CoLab: 0 Abstract  
Pure zinc oxide nanoparticles (NPs) and its nanocomposite ZnO/Lu2O3 NPs with Zn/Lu varied weight ratios (Zn/Lu; 97:3, 94:6, and 91:9%) were produced using a precipitation process under optimal circumstances. The synthesized samples were analyzed using diffraction of X-ray, scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy, transmission electron microscopy (TEM), and Raman spectra. The ZnO NPs as-prepared possess a highly crystalline structure of wurtzite ZnO and great phase purity. The combined Lu2O3 and ZnO NPs show a Lu2O3 zinc blend phase as well as the pure ZnO’s wurtzite phase, proving the samples’ excellent purity and crystallinity as-prepared. Increasing the Lu2O3 percentage to 9% resulted in a considerable drop in the surface area of ZnO samples from 29.9 to 8.4 m2/g and the volume of the pore from 0.3536 to 0.020 cm3/g, according to nitrogen adsorption–desorption studies. The study found that adding Lu2O3 NPs improves the photocatalytic capabilities of ZnO NPs for methylene blue degradation. Mixed 9% Lu2O3 and 91% ZnO NPs have much higher photocatalytic activity than pure ZnO NPs due to their high crystallinity and small energy gap.
AlFattani A., AlShahrani A., AlBedah N., Alkawi A., AlMeharish A., Altwaijri Y., Omar A., AlKawi M.Z., Khogeer A.
BMC Medical Ethics scimago Q1 wos Q1 Open Access
2025-02-15 citations by CoLab: 0 PDF Abstract  
The ethics committee has the responsibility to comply with the rules and guidelines regarding oversight of all human research activities, particularly when the research study involves vulnerable people. It also has the role of educating researchers on ethical issues, scientific truthfulness, preventing misconduct and conflicts of interest. In our study we evaluate and benchmark the function of the local ethical committees across the country from the researchers point-of-view. We employed an online IRB-RAT survey to measure perspectives of investigators towards IRB functions dealing with fairness issues, services, bias, and competences and upholding the rights of the human participants. Two responses were recorded: first shows how important an IRB function is for the investigator in his work, second shows how researchers rate their IRBs in being descriptive in that specific function. The difference of these two scores represent the outcome. We had 179 participants, 166(94%) researchers/research coordinators, and 13(7.2%) IRB members, 94 (53%) participants had been working in the research field for more than 11 years, and the majority 163(90%) revealed that they had IRB contact. The largest gap between actual rating and ideal was observed for the item “An IRB that requires that its chair be an experienced investigator” with a score difference of 1.53. In contrast, the smallest score difference was for the item “Considering the protection of human participants,” which had a score of 0.51. According’s to researchers point of view; IRBs respect researchers, view human protections as a primary role, do not allow personal bias, maintain accurate records and take timely action whenever misconduct is reported. Further collaborations are needed to enhance IRB performance and to engage researchers in more productive communication with their IRBs.
Salh A., Alhartomi M.A., Hussain G.A., Jing C.J., Shah N.S., Alzahrani S., Alsulami R., Alharbi S., Hakimi A., Almehmadi F.S.
2025-02-12 citations by CoLab: 0 PDF Abstract  
High route loss and line-of-sight requirements are two of the fundamental challenges of millimeter-wave (mm-wave) communications that are mitigated by incorporating sensor technology. Sensing gives the deep reinforcement learning (DRL) agent comprehensive environmental feedback, which helps it better predict channel fluctuations and modify beam patterns accordingly. For multi-user massive multiple-input multiple-output (mMIMO) systems, hybrid precoding requires sophisticated real-time low-complexity power allocation (PA) approaches to achieve near-optimal capacity. This study presents a unique angular-based hybrid precoding (AB-HP) framework that minimizes radio frequency (RF) chain and channel estimation while optimizing energy efficiency (EE) and spectral efficiency (SE). DRL is essential for mm-wave technology to make adaptive and intelligent decision-making possible, which effectively transforms wireless communication systems. DRL optimizes RF chain usage to maintain excellent SE while drastically lowering hardware complexity and energy consumption in an AB-HP architecture by dynamically learning optimal precoding methods using environmental angular information. This article proposes enabling dual optimization of EE and SE while drastically lowering beam training overhead by incorporating maximum reward beam training driven (RBT) in the DRL. The proposed RBT-DRL improves system performance and flexibility by dynamically modifying the number of active RF chains in dynamic network situations. The simulation results show that RBT-DRL-driven beam training guarantees good EE performance for mobile users while increasing SE in mm-wave structures. Even though total power consumption rises by 45%, the SE improves by 39%, increasing from 14 dB to 20 dB, suggesting that this strategy could successfully achieve a balance between performance and EE in upcoming B5G networks.
Altamimi A., Ben Youssef B.B.
Sensors scimago Q1 wos Q2 Open Access
2025-02-12 citations by CoLab: 0 PDF Abstract  
Recent advancements in hyperspectral imaging have significantly increased the acquired data volume, creating a need for more efficient compression methods for handling the growing storage and transmission demands. These challenges are particularly critical for onboard satellite systems, where power and computational resources are limited, and real-time processing is essential. In this article, we present a novel FPGA-based hardware acceleration of a near-lossless compression technique for hyperspectral images by leveraging a division-free quadrature-based square rooting method. In this regard, the two division operations inherent in the original approach were replaced with pre-computed reciprocals, multiplications, and a geometric series expansion. Optimized for real-time applications, the synthesis results show that our approach achieves a high throughput of 1611.77 Mega Samples per second (MSps) and a low power requirement of 0.886 Watts on the economical Cyclone V FPGA. This results in an efficiency of 1819.15 MSps/Watt, which, to the best of our knowledge, surpasses recent state-of-the-art hardware implementations in the context of near-lossless compression of hyperspectral images.
Zhao Z., Melinte G., Lei Y., Guo D., Hedhili M.N., Shi Z., Qasem H., Alshareef H.N.
ACS Energy Letters scimago Q1 wos Q1
2025-02-09 citations by CoLab: 1
Alharbi A., Lyras A.
Optics Express scimago Q1 wos Q2 Open Access
2025-02-06 citations by CoLab: 0 PDF Abstract  
Recent studies on twisted-light-matter interactions have highlighted the importance of the longitudinal electric field component, which had previously been overlooked. Together with the transverse component, it corresponds to the lowest-order terms in a perturbative expansion over the paraxial parameter. In this work, we investigate the influence of higher-order correction terms in the perturbative expansion on the quadrupole excitation of a trapped atom. This article begins by resolving discrepancies in the literature regarding the calculation of transverse fields at second and higher even orders using the appropriate gauge. A key finding of our study reveals that including a higher-order term in the perturbative expansion is not always sufficient to enhance accuracy in describing the interaction at a given level; instead, two successive orders may need to be considered together. This is particularly evident in quadrupole transitions involving no change in the magnetic quantum number (Δm = 0), where longitudinal corrections play a more significant role than their transverse counterparts, despite the latter being lower order. This behavior is attributed to the sensitivity of quadrupole interactions to field gradients and the connection between odd- and even-order fields via transverse gradients.
Alhamadi M., Alsayahani H., Clinch S., Vigo M.
2025-02-04 citations by CoLab: 0 Abstract  
Information presentation problems on interactive dashboards are known to hinder decision-making. Since a traditional user-centred approach to designing usable dashboards cannot fully satisfy user demands, needs and skills, we isolate behavioural indicators of usability when users conduct typical information-seeking and comparison tasks. In a first study (N=50), we identified strategies derived from 486,435 interaction events logged in a controlled setting with synthetic dashboards. User models consisting of these user strategies and graph literacy produced strong signals indicating that usability was predictable. In a second study (N=65), we tested the initial insights on real-world dashboards. While most of our hypotheses were confirmed, graph literacy emerged as the best predictor of usability. Usability was better predicted in dashboards with problems, suggesting promising opportunities for automated usability evaluation and real-time support for users struggling with visual analytics dashboards.
Lashin A., Hakimi M.H., AlGhamdi F., Matthew Amao A., AlQuraishi A., Laboun A., Abdel Fattah K.
ACS Omega scimago Q2 wos Q2 Open Access
2025-02-04 citations by CoLab: 0 PDF

Since 1987

Total publications
3988
Total citations
111889
Citations per publication
28.06
Average publications per year
102.26
Average authors per publication
7.37
h-index
129
Metrics description

Top-30

Fields of science

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General Materials Science, 421, 10.56%
General Chemistry, 419, 10.51%
Electrical and Electronic Engineering, 341, 8.55%
Condensed Matter Physics, 316, 7.92%
General Medicine, 279, 7%
General Chemical Engineering, 208, 5.22%
Electronic, Optical and Magnetic Materials, 206, 5.17%
Mechanical Engineering, 187, 4.69%
Materials Chemistry, 184, 4.61%
Catalysis, 180, 4.51%
Atomic and Molecular Physics, and Optics, 178, 4.46%
General Engineering, 176, 4.41%
Biochemistry, 175, 4.39%
Physical and Theoretical Chemistry, 171, 4.29%
Multidisciplinary, 164, 4.11%
Renewable Energy, Sustainability and the Environment, 160, 4.01%
Polymers and Plastics, 129, 3.23%
Mechanics of Materials, 127, 3.18%
Energy Engineering and Power Technology, 125, 3.13%
Organic Chemistry, 121, 3.03%
Analytical Chemistry, 119, 2.98%
Computer Science Applications, 112, 2.81%
General Environmental Science, 112, 2.81%
Molecular Biology, 108, 2.71%
Genetics, 107, 2.68%
Surfaces, Coatings and Films, 104, 2.61%
Process Chemistry and Technology, 104, 2.61%
Pollution, 104, 2.61%
General Physics and Astronomy, 103, 2.58%
General Earth and Planetary Sciences, 101, 2.53%
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Journals

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Publishers

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With other organizations

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With foreign organizations

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With other countries

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USA, 825, 20.69%
United Kingdom, 434, 10.88%
Egypt, 393, 9.85%
China, 286, 7.17%
India, 235, 5.89%
Pakistan, 216, 5.42%
Australia, 177, 4.44%
Germany, 162, 4.06%
Malaysia, 160, 4.01%
Canada, 143, 3.59%
Republic of Korea, 116, 2.91%
Italy, 95, 2.38%
Jordan, 81, 2.03%
France, 79, 1.98%
Japan, 78, 1.96%
Switzerland, 68, 1.71%
Tunisia, 67, 1.68%
UAE, 66, 1.65%
Russia, 65, 1.63%
Spain, 57, 1.43%
Iraq, 55, 1.38%
Qatar, 51, 1.28%
Netherlands, 51, 1.28%
Belarus, 49, 1.23%
Brazil, 42, 1.05%
Turkey, 42, 1.05%
Poland, 39, 0.98%
Sweden, 38, 0.95%
Belgium, 32, 0.8%
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  • We do not take into account publications without a DOI.
  • Statistics recalculated daily.
  • Publications published earlier than 1987 are ignored in the statistics.
  • The horizontal charts show the 30 top positions.
  • Journals quartiles values are relevant at the moment.