162 research outputs found
Mathematica code for implementing the aggregate EMF
This report contains the Mathematica code, used to implement
the aggregate EMF spectral density due to several nearby transmitters
Matlab code for implementing SS-OFDM
This report contains the matlab code used to implement an SS-OFDM system
Mathematica code for implementing the aggregate EMF
This report contains the Mathematica code, used to implement
the aggregate EMF spectral density due to several nearby transmitters
A new approach to Spread-Spectrum OFDM
This report contains the matlab code used to implement an SS-OFDM system
Isolation of Pseudomonas aeruginosa with Cefotaxime Resistant from Nosocomial Infected Wounds
Background: The bacteria Pseudomonas aeruginosa known as aerobic rods with a gram negative staining, bacterial genus belonging to Pseudomonadaceae, this has only family represented within genus Pseudomonas. Infections caused by Pseudomonas aeruginosa are facilitated by secretory toxin-secreting external tissue components, such as lipopolysaccharides and pyocyanin uptake pigments. It is one of the most significant hospital-acquired infections and is the primary nosocomial pathogen, causing infections that often prolong treatment time following hospital stays.Objectives: To isolate Pseudomonas aeruginosa from infected wounds as a clinical pathogen and to confirm cefotaxime resistance.Patients and Methods: Samples were collected from 65 patients of both sexes and various ages with infected wounds. All patients were hospitalized and received maintenance treatment and first aid. This was confirmed by cultures from brain-heart infusion broth media, on blood agar, and MacConkey agar, using Gram stains and biochemical tests. Pseudomonas aeruginosa was identified with a 690 nm gene integrin-1, confirming cefotaxime resistance.Results: Pseudomonas aeruginosa was isolated from 43 samples out of a total of 65, Pseudomonas genus isolates with 43 Pseudomonas aeruginosa bacteria obtained from blood agar. Subsequently, MacConkey agar cultures showed oxidase, catalase, and other biochemical tests yielding 28 results. Cefotaxime resistance was tested and confirmed by PCR method for integrin-1 gene screening appeared the 18 Pseudomonas aeruginosa samples had cefotaxime resistance, 16 showed intermediate cefotaxime resistance, while 9 exhibited no resistance, with a P value of 0.004.Conclusion: Pseudomonas aeruginosa isolates present a certainty within medical laboratories as well hospitals, there is increasing evidence apropos the capability of reliably unaffected strains to diffuse through delicate transmission. Resistance is primarily associated with the drug cefotaxime. This study aims to provide genetic evidence indicating that the P. aeruginosa was the ultimately corporate pathogenic bacteria. A major relationship was found within severe abuses of infections initiated by P. aeruginosa related to cefotaxime resistance in nosocomial trauma patients
Leaf physiological attributes and root productivity of two radish cultivars as influenced via low tunnel plastic sheeting and silicon foliar application under cold stress
This study aimed to assess the impact of low plastic tunnels integrated with potassium silicate spraying on the physiological traits and root productivity of two radish cultivars under cold stress conditions. A field experiment was performed on a private sector farm in Albuhidari, Al-Najaf governorate, Iraq, during the autumn season of 2023. The experiment was conducted in a split-split plot design using Randomized Complete Block Design (RCBD) with three replicates, testing the effects of three factors: growth conditions (open field versus plastic tunnels) designated as the main plots, cultivars (red versus white) assigned as subplots and doses of silicon spraying (0, 400, 600 mg L-1) assigned as sub-subplots. The results showed that plastic sheeting significantly improved total chlorophyll in leaves, nitrogen and potassium percentages in the leaves, total plant dry matter and root yield compared to the open field. The red cultivar outperformed the white cultivar in chlorophyll content, potassium percent, total plant dry matter and yield. Furthermore, silicon spraying enhanced the studied traits, as total chlorophyll, total dry matter and root yield gradually increased with higher silicon concentrations. Moreover, the triple interaction of plastic tunnels, red cultivar and silicon at 600 mg L-1 was the best regarding all attributes except phosphorus percentage in leaves. These results suggest that plastic sheeting combined with silicon spraying represents an effective strategy for improving radish productivity under cold stress
Accounting education from 1960 to 2023: a bibliometric review
Since 1960, publications in accounting education have demonstrated a high level of productivity and influence. However, few studies have attempted to use bibliometric methods to map and visualize accounting education research. This study aimed to identify global issues in accounting education through bibliometric analysis, covering the period from 1960 to 2023, by exploring publication trends, top topics, and major contributors in the field. Tools such as Microsoft Excel, VOSviewer, the bibliometric R-package, and WordSift were utilized to comprehensively analyze 717 Scopus-indexed documents. The findings underscore a continuous and recently accelerated historical evolution of accounting education publications, with primary research areas clustering around “business, management, and accounting.” Noteworthy trends include a geographic concentration in the United States, the United Kingdom, and Australia, with RMIT University emerging as a key contributor. Hassell, from the United States, is recognized as the most influential author, and “accounting education” from Taylor & Francis stands out as the most productive journal. Works by Bui and Porter in 2020 emerge as the most frequently cited documents. The research results indicate that future research directions should focus on students, higher education, and the profession, emphasizing themes such as curriculum, learning, and skills
Spectrum sharing for wireless communication subject to regulatory constraints on power
Spectrum is or soon will be a scarce asset, and hence methods for effciently sharing spectrum are important. Concern about the possible effects of wireless radiation on health are also growing because of the widespread and growing use of devices that communicate wirelessly. Although some of this concern can be attributed to illinformed alarm, international agreements and industry standards recognise the need for prudence in managing exposure to electromagnetic fields (EMF). When efficient shared use of spectrum is investigated, it is necessary to consider why the power available for wireless transmission is limited, and how this limitation on available power is expressed, and therefore the issue of spectrum sharing cannot be addressed without taking into account safety-related constraints on power. EMF levels need to be regulated to levels well below levels where there might be harm and therefore below the internationally agreed EMF exposure limit standards. Hence, we do not expect to see any health effects at these levels.
In Chapter 3 of this dissertation, it is argued that for the safety of human health, we should assume that there must be constraints on the power, or EMF, used at each device participating in the shared communication. These constraints on EMF affect the way we share the spectrum. The way these regulations are expressed needs great care because it will have an effect on the design of the wireless communication systems.
In Chapter 4, a Spread Spectrum-Orthogonal Frequency Division Multiplexing (SS-OFDM) model is developed for efficient sharing of the spectrum among nearby users. Efficient sharing is shown to be consistent with nearby WiFi domains appearing as noise to each other (which is the characteristic property of spread-spectrum).
In Chapter 5, we assume that there must be constraints on the power, or EMF, used at each device participating in the shared communication. This thesis considers five different forms of power/EMF constraint and compares the sum-throughput achieved by all devices, under these different constraints. Note that the five different approaches to meeting power/EMF constraints that are considered here vary slightly in the way the constraint is expressed, but also, and this is the more significant aspect, in the way in which the constraint is enforced. These five approaches are; Carrier-Sense Multiple Access (CSMA) method, Orthogonal Frequency-Division Multiple Access (OFDMA), EMF limited, SS-OFDM, and mutually interfering.
In Chapter 6, cross-subchannel noise in OFDMA is modelled, which shows that nearby systems interfere with each other to a greater degree than might be expected.
Conclusions are presented in Chapter 7
A new Internet of Things based optimization scheme of residential demand side management system
A novel real-time electricity scheduling for home energy management system using the internet of energy
This paper presents a novel scheduling scheme for the real-time home energy management systems based on Internet of Energy (IoE). The scheme is a multi-agent method that considers two chief purposes including user satisfaction and energy consumption cost. The scheme is designed under environment of microgrid. The user impact in terms of energy cost savings is generally significant in terms of system efficiency. That is why domestic users are involved in the management of domestic appliances. The optimization algorithms are based on an improved version of the rainfall algorithm and the salp swarm algorithm. In this paper, the Time of Use (ToU) model is proposed to define the rates for shoulder-peak and on-peak hours. A two-level communication system connects the microgrid system, implemented in MATLAB, to the cloud server. The local communication level utilizes IP/TCP and MQTT and is used as a protocol for the global communication level. The scheduling controller proposed in this study succeeded the energy saving of 25.3% by using the salp swarm algorithm and saving of 31.335% by using the rainfall algorithm
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