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The present study implemented energy and exergy analyses on a 750MW combined cycle power plant (CCPP). The research utilized a simulation process using a computer model developed in MATLAB. The model was based on the natural gas combustion concept, energy balances, enthalpy balances, entropy changes, and the CCPPs heat transfer. The model was validated with the case study of the CCPP at Tuanku Ja’afar Power Station, Port Dickson. The results showed that the CCPP’s energy and exergy efficiencies were 56% and 51%, respectively. Furthermore, applying exergy analysis revealed that the combustion chamber had a significant source of exergy destruction rate, i.e., 224.58 MW, which corresponded to 67.48% of the total exergy destruction in the CCPP, followed by the air compressor 7.53%, and the steam turbine 7.07%. Meanwhile, increasing the turbine inlet temperature (TIT) reduced the exergy destruction rate of the combustion chamber of the gas turbine cycle. The optimum performance obtained at TIT was higher than 1262 °C, where the exergy destruction decreased in the CCPP. Moreover, In CCPP, the combustion chamber was the highest exergy destruction rate, i.e., 225MW, among the main components of the power system. It can be grasped that the current adaptive model of natural gas combustion is a powerful tool for predicting the overall performance of the CCPPs based on exergy analysis.

منهج الشريف الرضي البلاغي في كتابه (تلخيص البيان في مجازات القرآن). لم يُعر الباحثون اهتماما كبيرا بكتاب الشريف الرضي (تلخيص البيان في مجازات القرآن) من الوجهة البلاغية، وهذا كان الدافع الأساس لدراسة كتابه هذا. وتكمن أهمية هذا الكتاب في قدم الزمان الذي ألَّف فيه، إضافة إلى تفرده بدراسة القرآن بلاغيا. وقد قسّمت البحث إلى مبحثين قدمتهما بتوطئة في حياة الرضي العلمية وختمتهما بخاتمة فتوصية، ثم قائمة بالمصادر والمراجع. واعتمدت في دراستي للكتاب على ثلاثة مناهج: المنهج الاستقرائي، فالوصفي، وأخيرا المنهج التحليل. واعتمدت أيضا على نظام "هارفيرد" الأمريكي في توثيق المتن والهوامش والمصادر. وأخيراً، لا أزعم أنني بلغت في هذه الدراسة حدّ الكمال، ولكنني ما تركت من الجهد شيئا، وما أصبت فمن الله تعالى وما أخطأت فمن الشيطان ومن نفسي، والله المستعان.

Nickel stable isotopes (δ60Ni) provide insight to Ni biogeochemistry in the modern and past oceans. Here, we present the first Pacific Ocean high‐resolution dissolved Ni concentration and δ60Ni data, from the US GEOTRACES GP15 cruise. As in other ocean basins, increases in δ60Ni toward the surface ocean are observed across the entire transect, reflecting preferential biological uptake of light Ni isotopes, however the observed magnitude of fractionation is larger in the tropical Pacific than the North Pacific Subtropical Gyre. Such surface ocean fractionation by phytoplankton should accumulate isotopically lighter Ni in the deep Pacific, yet we find that North Pacific deep ocean δ60Ni is similar to previously reported values from the deep Atlantic. Finally, we find that seawater dissolved δ60Ni in regions with hydrothermal input can be either higher or lower than background deep ocean δ60Ni, depending on vent geochemistry and proximity. Plain Language Summary: A habitable Earth relies on the growth of microscopic plants, called phytoplankton, in the ocean. Phytoplankton help regulate Earth's climate and their growth requires various nutrients in seawater, including a suite of metal elements such as iron, zinc, and nickel (Ni). These metals are called trace metals in the ocean because their concentrations are extremely low in seawater, yet they are essential micronutrients. Therefore, it is important to understand how much and how these elements are supplied to and removed out of the ocean, and how they are used by phytoplankton. To study this question, we analyzed Ni isotope ratios of hundreds of seawater samples collected from the Pacific Ocean—which is the ratio of naturally occurring Ni atoms with different numbers of neutrons and therefore slightly different masses. We find that surface seawater is more enriched in heavier Ni isotopes than the deep seawater, in particular around the tropical Pacific. The deep ocean has similar Ni isotope ratios across different ocean basins, from the Atlantic to the Pacific. Seawater Ni isotope ratios are impacted by rivers near Alaska, submarine volcanos near Hawaiʻi, and a submarine volcanic chain called the East Pacific Rise. Key Points: Enrichment of heavier Ni isotopes is observed in the surface ocean across the GP15 transect, particularly in the equatorial PacificNorth Pacific deep ocean Ni isotope composition is nearly homogeneous and similar to previously reported values from other ocean basinsHydrothermal activity can both decrease and increase seawater Ni isotope composition, depending on vent geochemistry and proximity [ABSTRACT FROM AUTHOR]

Abstract In this work, the concept of peer-to-peer energy sharing in wildlife communication systems is explored. In this context, wild animals can share energy wirelessly besides their data communications as they opportunistically come into range of each other. Our goal is to find a way to balance the energy among the nodes and minimize this energy loss. We propose a novel encounter-based energy-sharing scheme, called EBES, that utilizes single and multi-hop transmission to achieve energy balance, minimize energy losses, and maximize the lifetime of the wildlife communication system. EBES is based on a variety of parameters, including the amount of energy left in the system and the nodes’ encounter rate, and buffer sizes. In the simulation studies, we considered a wildlife communication network that is involved in data communication and applied EBES over the opportunistic routing protocols such as EBR, Spray&Wait, and Epidemic resulting in a network lifetime increase of 35% and improving the routing protocols performance. Additionally, we compared EBES with the other well-known energy balancing techniques that also contribute to data communication such as EA-Epidemic, EERPFAnt, and OE-OLSR and the results show the remaining energy was improved by 31%, 26%, and 15%, respectively.

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Abstract Among different types of transformerless photovoltaic inverters, multi‐level inverters based on switched‐capacitors (SC) are the burning topic of recent decades due to their potential advantages, such as, single source requirement, voltage boosting capability, and high power density. However, for a seven level output voltage, a conventional SC based inverter architecture uses more than two units of SC, a large amount of power switches, which then lead to capacitor voltage balancing problems. This paper presents a seven‐level switched‐capacitor transformerless inverter (SCTI), which is structured with only two SC units, ten power switches, and a single DC source. The proposed SCTI ensures voltage boosting capability, self‐voltage balancing, and low power semiconductor losses. Apart from these, a modified sinusoidal pulse width modulation (MSPWM) is also proposed in this work, which guarantees better thermal performance and low inverter output voltage THD for the proposed SCTI. The proposed SCTI along with the MSPWM is simulated in MATLAB/Simulink and PLECS computer simulation environments. A reduced scale laboratory prototype is also built and tested to ensure the feasibility of the proposed SCTI.

The magnetic linked converter plays a significant role in the power electronics industry due to its merits of being flexible to control, the high efficiency of power transmission, the performance of galvanic isolation, etc. These features make magnetic linked converter a prominent candidate for an effective interface for renewable energy integration to the traditional power grid, more electric aircraft applications, electric vehicle charging implementation, etc. The traditional controller of the magnetic linked converter is the linear control method which cannot ensure smooth bidirectional power routing and a high level of decoupling especially for the electric vehicle charging application. In the worst-case scenario, the traditional controllers can be fully saturated and cause severe system-wide unbalancing issues. Recently, the magnetic linked converter technology with advanced control decisions has been adopted for the electric vehicle charging application. The magnetic linked converter technology for electric vehicle charging applications provides a higher degree of control flexibility to supply multiple loads simultaneously in terms of soft-switching ability, galvanic isolation, and high-density power transmission. With regard to the control methods, numerous advanced controls are developed and proposed for the magnetic linked converter to ensure robust voltage control, smooth bidirectional power routing control, and high degree of decoupling to avoid any control interactions up to date. There have been a few review studies on the converter topology, control, and power management for magnetic-linked power converters for future for renewable energy integration to the traditional power grid, more electric aircraft applications, and electric vehicle charging implementation in the literature. However, a detailed review of magnetic-linked power converter topologies, controls, and power management on these applications is still limited in terms of a variety of power electronic interfaces with appropriate controls and power management. Therefore, this paper presents a comprehensive review with a more specific assessment of the variety of magnetic-linked power electronic interfaces with controls and power management for the widespread emerging applications.

Clean and sustainable renewable energy sources (RESs) are increasingly becoming the better replacement for traditional fossil fuel-based electricity generation. RESs are typically connected with the utility grid through power electronic energy conversion systems. Power electronic energy conversion systems are becoming increasingly important for distribution networks, electric vehicles, or renewable energy applications. Magnetic links (MLs) play an important role as an isolating medium between the input-output stages of the converters in power electronic energy conversion systems. ML can also be used to increase fault-tolerant capability and enhance the power transfer reliability of the system. By increasing the frequency, the size of the ML can be reduced. However, some challenging technical issues with the ML operating with medium/high-frequency (HF) might affect the power converter performance. Several reviews have been published on the specific ML core materials for low-frequency applications. However, as the frequency used in the ML increases, there is an urgent need to investigate newer magnetic materials for use in such HFMLs, because, at medium/HF, the efficiency of MLs largely depends on the core losses that occurred due to the core materials. In this article, a comprehensive review has been carried out on the ML core materials for medium/HF applications from the historical development to the current status. The industrial production process of these materials from the raw phase to the production phase is presented. Electromagnetic and physical properties of the core materials are studied and addressed in the paper. Based on the properties, system requirements, and applications, a ranking has been proposed that can play an important role in selecting core materials for designing medium/HFMLs for power electronic energy conversion systems. A comparative analysis has also been carried out based on mathematical modeling and experimental core loss measurement techniques which can be used to predict the specific losses of the material. Finally, challenges to the design and implementation of medium/HFMLs for power converters are studied, and possible suggestions have been proposed to overcome the challenges to make the systems more efficient and reliable.

In this paper, we designed and implemented a multi-antenna configured secure millimeter-wave (mmWave) CP-less multi-user orthogonal chirp division multiplexing (OCDM) transceiver. The proposed simulated system emphasizes more applicable performance metrics for a typically assumed case of four users and a passive eavesdropper for audio data transmission. We introduce a four-dimensional hyperchaotic system-based encryption algorithm to enhance physical layer security (PLS). In addition, low-density parity check (LDPC), TURBO, ( $3, 2$ ) single parity check (SPC), and repeat and accumulate (RA) channel coding with Cholesky decomposition-based zero-forcing (CD-ZF) and minimum mean square error (MMSE) signal detection techniques for a better bit error rate (BER) were also implemented. The simulation results signify the effectiveness of the proposed system in terms of PLS enhancement with low correlation coefficients (14.62%, 7.61%, 13.61%, and 15.39% for users 1, 2, 3, and 4, respectively), an achievable secrecy rate with a low signal-to-interference and noise ratio (SINR) of the passive eavesdropper, an achievable out-of-band (OOB) power emission of 341 dB, an estimated average short-time Fourier transform (STFT) spectral power difference of 7.68 dB and estimated peak-to-average power ratios (PAPRs) ranging from 7 to 7.5 dB at a complementary cumulative distribution function (CCDF) of $1\times 10^{-3}$ for different ground transmitting channels. At an identical signal-to-noise ratio (SNR) of 17 dB, all four users achieved a bit error rate of $1\times 10^{-4}$ under RA channel coding, CD-ZF, and 16-QAM (quadrature amplitude modulation) digital modulation.

A highly bendable, and a low-profile Artificial Magnetic Conductor (AMC)-based antenna for wearable applications operating at 2.4 GHz is presented. The AMC is employed to ensure consistent antenna performance in both free space and on the body, with its safety limit complying with standards. The proposed AMC design incorporates a Jerusalem cross shape slot on its conventional patch, integrated with the antenna, resulting in overall dimensions of $60\times 60 \times 3$ mm3. The proposed low-profile AMC demonstrates superior performance under extreme bending, whether in free space or on the body, and offers a wide bandwidth, addressing the frequency detuning problem associated with deformation. In free space, the integrated design exhibited a gain of 7.61 dBi, a bandwidth of 27.13%, a front-to-back ratio (FBR) of 17.7 dBi, and an efficiency of 83.5%. When placed on the body, it resulted in a gain of 6.98 dBi, a bandwidth of 25.7%, an FBR of 18.2 dBi, and an efficiency of 70.1%. SAR analysis was conducted with different input power levels (100 mW, 500 mW, and 1000 mW) and demonstrated excellent results. The numerical and experimental results collectively suggest that the integrated design is a promising candidate for wearable applications.

Background: Caffeine boosts metabolism and the neurological system. When extreme weakness or sleepiness occurs, it is used recreationally and medicinally to reduce physical and mental fatigue. Caffeine initially stimulates the central nervous system, increasing intellect, speed, accuracy, focus, and coordination. Objective: To evaluate how caffeine nanoparticles affect potassium, calcium, zinc, and magnesium levels, in addition, the anti-bacterial activity of the samples has been employed. Methods: Eighteen male albino rats were divided into three separate groups. The first group (G1) was made up of six animals that served as a control group. The second group (G2) was made up of six animals that were given caffeine, and the third group (G3) was made up of six animals that were given silver nanoparticles from a caffeine solution. The particle size and structural morphology of Caffeine and silver nanoparticles were analyzed using Brookhaven Instruments Corp., XRD and SEM respectively. Results: The structural results showed after addition, caffeine was tube-shaped and silver was spherical granular. Caffeine has more silver nanoparticles than caffeine solution. Caffeine solution affects potassium, calcium, zinc, and magnesium levels. Additionally, the solution has antibacterial activity against the following bacteria: Staphylococcus aureus (Gram +ve), E. coli (Gram –ve), and Pseudomonas aeruginosa (Gram-ve), but it has no effect against yeast (Candida albicans). Conclusions: To determine the biological effects of caffeine-synthesized Ag NPs on zinc, magnesium, calcium, and potassium levels in male albino mice's serum, this is antibacterial against staphylococcus. [ J Adv Biotechnol Exp Ther 2023; 6(2.000): 495-509]

Introduction: The pandemic caused by the novel coronavirus virus has altered all facets of clinical practice in the United States. The goal of this study is to better understand the impact of COVID-19 on rhinologic ambulatory and operative practice. Methods: A 27-item survey to assess these objectives was created and approved by the Division of Rhinology faculty at Rush University Medical Center in April 2020. The survey was then distributed to rhinologists in a web based format via www.surveymonkey.com from April 10 through April 23, 2020. Results: A total of 277 U.S based rhinologists responded to the survey (23.04%). The most common practice types were single specialty private (44.9%) and academic (24.6%). 90.2% practice in a state under a shelter in place order. Comparing pre-COVID baseline to during-COVID, there was statistically significant reduction in the number of patients of seen daily in clinic (p < 0.001). The number of nasal endoscopies in the office and surgical procedures fell dramatically. Overall, 5 respondent rhinologists have been infected with COVID-19 and 27 have been furloughed. Conclusion: COVID-19 has drastically affected rhinologic practice. There is a dramatic reduction of in person care in the office setting and surgical management of sinonasal and skull base disease. Enhanced PPE is being used in only half of potentially aerosolizing procedures which represents an area of further education. Novel approaches such as use of virtual encounters and point of care testing should be considered as options to facilitate care. [ABSTRACT FROM AUTHOR]

Opportunistic Networks (OppNets) are characterized by intermittently connected nodes with fluctuating performance. Their dynamic topology, caused by node movement, activation, and deactivation, often relies on controlled flooding for routing, leading to significant resource consumption and network congestion. To address this challenge, we propose the Adaptive Clustering-based Routing Protocol (ACRP). This ACRP protocol uses the common member-based adaptive dynamic clustering approach to produce optimal clusters, and the OppNet is converted into a TCP/IP network. This protocol adaptively creates dynamic clusters in order to facilitate the routing by converting the network from a disjointed to a connected network. This strategy creates a persistent connection between nodes, resulting in more effective routing and enhanced network performance. It should be noted that ACRP is scalable and applicable to a variety of applications and scenarios, including smart cities, disaster management, military networks, and distant places with inadequate infrastructure. Simulation findings demonstrate that the ACRP protocol outperforms alternative clustering approaches such as kRop, QoS-OLSR, LBC, and CBVRP. The analysis of the ACRP approach reveals that it can boost packet delivery by 28% and improve average end-to-end, throughput, hop count, and reachability metrics by 42%, 45%, 44%, and 80%, respectively.

This paper presents a novel wideband circularly polarized CPW-fed printed monopole antenna for CubeSat applications. An AMC reflector with $5\times 5$ -unit cells is used to increase antenna gain. The overall size of the antenna is $0.48\lambda _{0} \times 0.48\lambda _{0} \times 0.042\lambda _{0}$ at the operating frequency of 8-GHz. The proposed printed monopole antenna provides a wide impedance bandwidth and a wide 3-dB axial ratio bandwidth. When comparing our proposed antenna to all designs, it is evident that the proposed printed monopole antenna offers several advantages. Firstly, it exhibits higher gain and a wider 3-dB axial ratio bandwidth (ARBW) while maintaining a smaller physical size. More specifically, the measured results show a wide -10 dB impedance bandwidth of 97.5% (6.1–13.9 GHz), and a wide measured 3-dB axial ratio bandwidth of 98.75% (5.1–13 GHz) and total measured gain of 7.3-dBi at 8 GHz.

This research includes a study of the effect of the thickness of each layer of perovskite solar cell (CH3NH3PbI3) /TiO2/ZnO/FTO) and selecting the best thickness to obtain the highest efficiency of the cell, and studying the effect of adding a back surfsce layer on the efficiency of the solar cell using (SCAPS1-D). The perovskite (CH3NH3PbI3) was adopted as absorption layer and its thickness tested from (1-7µm) with an increase of (1µm) to obtain the best thickness for best efficiency of the solar cell, its best thickness was (5µm), the thickness of the buffer layer (TiO2) was tested from (0.5-1.5 µm) with an increase of (0.25µm) and its best thickness was (0.5 µm), the thickness of the transparent conduction oxide (FTO) layer was tested (0.1-1.1µm) with an increase of (0.2µm) and its best thickness was (0.1 µm) and the thickness of the window layer(ZnO) was tested (0.1-0.5 µm) with an increase of (0.1µm) and its best thickness was (0.1µm).The effect of the window layer on the thickness of the buffer layer was studied and it was found that the best thickness of the buffer layer is (0.05µm). Finally, a back surface field layer was added, which is zinc telluride (ZnTe) with a thickness of (0.1 µm) and its thickness was studied, and its best thickness was (0.05µm) .It was found that the best thickness of the absorbent layer after adding the back surface field layer is (1µm). The final outputs of the cell were as follows: Voc=1.288(V), Jsc=25mA/cm2, FF=89.55%, ƞ=28.82%

For the purpose of knowing the effect of temperature, series resistance and parallel resistance on the performance of the solar cell(FTO/ Zn2SnO4/ CdS:O/ CdTe/ Cu2Te)، Using the simulation program SCAPS-1D, the study was carried out in three stages.The first stage of this study is to study the effect of temperature on the parameters of the solar cell،It was found that the efficiency h decreases with increasing temperature. The second stage is to study the effect of series resistance (Rs) as an external factor and it was found that increasing the series resistance reduces the performance of the solar cell The third stage of the study is to study the effect of parallel resistance (Rsh) as an external factor as well on the performance of the solar cell. It was also found that increasing the parallelism resistance improves the performance of the solar cell and increases the output parameters. All phases of the study were installed by installing the default lighting spectrum on the global scale Am1.5, the temperature is 300K, the frequency is 1MHz, and the voltage is 0V. Also, the series resistance (Rs) and the parallel resistance (Rsh) were not activated in the first stage of the research, considering that the cell is an ideal cell.

The accurate classification of landfill waste diversion plays a critical role in efficient waste management practices. Traditional approaches, such as visual inspection, weighing and volume measurement, and manual sorting, have been widely used but suffer from subjectivity, scalability, and labour requirements. In contrast, machine learning approaches, particularly Convolutional Neural Networks (CNN), have emerged as powerful deep learning models for waste detection and classification. This paper analyses VGG-16, InceptionResNetV2, DenseNet121, Inception V3, and MobileNetV2 models to classify real-life waste when trained on pristine and unadulterated materials, versus samples collected at a landfill site. When training on DiversionNet, the unadulterated material dataset with labels required for landfill modelling, classification accuracy was limited to 49.69% in the real environment. Using real-world samples in the newly formed RealWaste dataset showed that practical applications for deep learning in waste classification are possible, with Inception V3 reaching 89.19% classification accuracy on the full spectrum of labels required for accurate modelling.

Abstract Adversaries may target alerting alarms raised by PLCs (Programmable Logic Controllers) to prevent notifying operators of critical conditions, to hide faults, to disrupt operations, to cause damages to ICS (Industrial Control Systems) and surrounding environment, or to lead to financial loss. The paper focuses on exposing vulnerabilities of the ladder logic code that handles the alerting alarm messages and how to mitigate them. A real-time test bed of a PLC alarms code was developed and used to conduct several stealthy attack techniques to suppress or hinder alarms by exploiting code vulnerabilities. A novel ladder logic solution that consists of countermeasures against the introduced attacks was proposed, demonstrated, and tested. The countermeasure techniques, such as scan time and heartbeat techniques, were able to detect and prevent the code vulnerabilities and other abnormalities. The provided countermeasure techniques in this experiment could be applied to any PLC to enhance the validity and security of its PLC alarms code. Article Highlights Four stealthy attack models were introduced to exploit PLC alarms code. They were embedded to skip, delete, fake out, or delay alerting alarms. Real-time countermeasure solutions with different techniques were introduced: scan time code, heartbeat code, and physical plausibility check. They effectively detected and prevented the introduced attack models. PLC alarms Code general abnormalities was validated and detected using scan time techniques. A list of general best code practices for PLC alarms code was introduced to mitigate code vulnerabilities.

Application demand for faster data rates is driving the need for wider operating bandwidth of future 5G/6G communication systems which in turn poses stringent requirements on the design of suitable antennas. A candidate antenna that can support 5G/6G systems are reflectarrays (RAs) due to their numerous potentials, such as high gain, beam shaping, beam scanning, reconfigurability and multi-beam characteristics. However, reflectarrays are usually limited by their narrowband characteristics. Hence, this work examines the state of the art of wideband reflectarrays. Wideband reflectarrays are reviewed and categorized according to four wideband phase tuning mechanisms. The bandwidth is reviewed and compared both from a unit cell and reflectarray system perspective with emphasis on the gain-bandwidth performance. Different wideband unit cell geometries are covered and grouped by the wideband phase tuning approach. The effect of each wideband phase tuning approach on the gain-bandwidth RA performance is then analyzed by considering the operating frequency, the reflection phase range, the substrate structure and material, the aperture size, the aperture efficiency, the focal distance, the cross-polarization performance as well as the gain and side lobe levels. Finally, the phase tuning approaches are compared against each other, and guidelines are provided for designing reflectarrays with wide gain-bandwidth.

This research deals with the preparation number of composite materials by casting the base alloy (Al-Co-Ni) by adding chromium oxide (Cr2O3) as reinforcement material, by weight ratios of (5, 10, 15 wt%) for the base alloy, with heat treatment of the prepared alloys. The basic alloys and composite materials were prepared by using solution casting method and manual mixing method to disperse reinforcement grains in the base alloy floor and with pressure of 5 ton in purpose of forming. The materials were melted and poured into molds and suddenly cooled in cold water, after the molten samples were frozen. The attenuation factor of gamma rays was founded the prepared alloys and their homogeneity was examined by shining a narrow beam of single energy gamma rays emitted from the radiating source (137Cs) with different energies (511, 662, 1173, 1284, 1333) keV respectively, gamma ray system (UCS-20) was being used which bounded to NaI(Tl) scintillation detector. The homogeneity of base alloy and composite material was determined by studying the contrast of gamma ray intensity, the linear attenuation coefficient at seven different locations at any samples and the percentage standard deviation. The results showed that the highest value of the linear attenuation coefficient was 0.252 mm-1 for sample [5%Cr2O3+Al+Co+Ni] with the energy (511 keV) and that the lowest value for the ratio of linear attenuation coefficient was 0.062 mm-1 at the energy of sample [15%Cr2O3+Al+Co+Ni] with the energy (1333 keV) indicating that the homogeneity of the sample [15%Cr2O3+Al+Co+Ni] at energy (1333 KeV).

In 2017, the Jordanian Ministry of Health reported that gastric cancer was one of Jordan's most diagnosed cancers. Gastric cancer is often linked to Helicobacter pylori, one of the foremost risk factors. Despite the high prevalence of H. pylori in Jordan, no information is available regarding the general population's awareness of the harmful effects of this pathogen. The study aims to assess the knowledge and the impact of the source of knowledge on H. pylori among the general population in Jordan. A cross-sectional study involving 933 participants was conducted between May and July of 2021. After meeting the inclusion criteria and consenting to participate in this study, participants completed the questionnaire. An interview-based questionnaire covered the following sections: sociodemographic data and knowledge related to H. pylori infection. 63% of the participants had a high level of education, 70.5% got their information about H. pylori infection from non-medical sources, and 68.7% had a low level of knowledge. Working in the medical field, attaining information from medical resources, and having a history of self-reported or family member of H. pylori infection showed a significant association with a high level of knowledge. The Mann-Whitney U test showed that the mean ranks of all knowledge items in the medical source group significantly exceed those of the non-medical source group (p-values < 0.05). In Jordan, the awareness of H. pylori was unsatisfying, like in other countries. Nevertheless, misconceptions in knowledge about H. pylori were identified and further awareness must be spread and advocated. Close observation of the non-medical sources of information is essential for delivering sufficient amount of knowledge to the general population.