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Effect of Health Education Program on Self-Efficacy and Functional Capacity of Patients with Coronary Artery Bypass Surgery in Khartoum State-Sudan, 2015-2019

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World Journal of Cardiovascular Surgery 2023年第12期13卷 167-180页

作者： Mohamed Idriss Yahya musa Egbal Abbashar Algamar manal elzein musa ismail Osama Mohamed Elsanousi Amair Siddig Alhussein Zeinab Abaker Ahmed Omer Abdalgabar musa Hassan Assistant Professor in Medical-Surgical Nursing Department of Nursing Faculty of Applied Medical Sciences Buraydah College Buraydah KSA Associate professor in Pediatrics Nursing & Child Health Faculty of Applied Medical Sciences Buraydah College Buraydah KSA Assistant Professor in Obstetric & Gynecological Nursing Faculty of Applied Medical Sciences Buraydah College Buraydah KSA Associate Professor and HoD Department of Surgery Faculty of Medicine National Ribat University Khartoum Sudan Assistant Professor of Surgery Faculty of Medicine National Ribat University and a Cardiac Surgeon at Ahmed Qassim Hospital Khartoum Sudan Assistant Professor in Obstetric & Gynecological Nursing Faculty of Nursing Sciences Alneelain University Khartoum Sudan PhD Candidate Medical Surgical Nursing Hamad Medical Corporation Faculty of Nursing Science Qatar-Omdurman Islamic University Khartoum Sudan

Coronary heart disease is among the most prevalent and costly of all global health problems. Coronary artery bypass grafting (CABG) has been increasingly used since the 1960s. Coronary heart disease is a leading cause of death worldwide, including Sudan. Self-efficacy and functional capacity is a critical factor for quality of life in patients who has undergone CABG as well as for their caregivers from their families. Aim of the Study: To explore the effects of an educational program on self-efficacy and functional capacity of patients after CABG. 1) There will be no significant difference between the intervention group and control group concerning knowledge regarding Self-efficacy and functional capacity post CABG surgery. 2) The application of our educational program for the patients will enhance the patients with CABG surgery and improve knowledge about Self-efficacy and functional capacity post CABG surgery. 3) There are some socio demographic factors that affect the response to the educational program. Methods: This was a quasi-experimental, interventional and hospital-based study, including pre-test, a post-test and follow-up test, with a control group, conducted during the period from September 2014 to June 2019. Patients were recruited consecutively to the cases and control group using convenience sampling. The sample consisted of 76 patients;41 as cases and 35 as control group. The sample included those who had undergone CABG in Khartoum State. Relevant data were collected using a checklist to monitor the effect of a health education program on self-efficacy and functional capacity of the patients. Result: The results showed marked improvement in patients’ self-efficacy and functional capacity between pretest and posttest for the study group;p-value = (0.001) in the health status of cases in comparison to the control group. The indices were observed to be higher for patients who received a nursing educational program throughout the study period;p-value = (0

关键词： Education Program Self-Efficacy Functional Capacity Coronary Artery Bypass Surgery

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Complex Decision Modeling Framework with Fairly Operators and Quaternion Numbers under Intuitionistic Fuzzy Rough Context

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Computer Modeling in Engineering & Sciences 2024年第5期139卷 1893-1932页

作者： Nadeem Salamat Muhammad Kamran Shahzaib Ashraf manal Elzain Mohammed Abdulla Rashad ismail Mohammed M.Al-Shamiri Institute of Mathematics Khwaja Fareed University of Engineering&Information TechnologyRahim Yar Khan64200Pakistan Department of Mathematics Thal University BhakkarPunjab30000Pakistan Department of Mathematics Faculty of Science and ArtsKing Khalid UniversityMuhayl Assir61913Saudi Arabia

The main goal of informal computing is to overcome the limitations of hypersensitivity to defects and uncertainty while maintaining a balance between high accuracy,accessibility,and *** paper investigates the potential applications of intuitionistic fuzzy sets(IFS)with rough sets in the context of sparse *** it comes to capture uncertain information emanating fromboth upper and lower approximations,these intuitionistic fuzzy rough numbers(IFRNs)are superior to intuitionistic fuzzy sets and pythagorean fuzzy sets,*** use rough sets in conjunction with IFSs to develop several fairly aggregation operators and analyze their underlying *** present numerous impartial laws that incorporate the idea of proportionate dispersion in order to ensure that the membership and non-membership activities of IFRNs are treated equally within these *** operations lead to the development of the intuitionistic fuzzy rough weighted fairly aggregation operator(IFRWFA)and intuitionistic fuzzy rough ordered weighted fairly aggregation operator(IFRFOWA).These operators successfully adjust to membership and non-membership categories with fairness and *** highlight the unique qualities of these suggested aggregation operators and investigate their use in the multiattribute decision-making *** use the intuitionistic fuzzy rough environment’s architecture to create a novel strategy in situation involving several decision-makers and non-weighted ***,we developed a novel technique by combining the IFSs with quaternion *** establish a unique connection between alternatives and qualities by using intuitionistic fuzzy quaternion numbers(IFQNs).With the help of this framework,we can simulate uncertainty in real-world situations and address a number of decision-making *** the examples we have released,we offer a sophisticated and systematically constructed illustrative scenario that is intricately wo

关键词： Intuitionistic fuzzy set quaternion numbers fuzzy logic decision-making rough set

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Sepsis Prediction Using CNNBDLSTM and Temporal Derivatives Feature Extraction in the IoT Medical Environment

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Computers, Materials & Continua 2024年第4期79卷 1157-1185页

作者： Sapiah Sakri Shakila Basheer Zuhaira Muhammad Zain Nurul Halimatul Asmak ismail Dua’Abdellatef Nassar manal Abdullah Alohali Mais Ayman Alharaki Department of Information Systems College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11671Kingdom of Saudi Arabia Department of Computer Science and Information Technology Applied CollegePrincess Nourah Bint Abdulrahman UniversityRiyadh11671Kingdom of Saudi Arabia

Background:Sepsis,a potentially fatal inflammatory disease triggered by infection,carries significant healthimplications *** detection is crucial as sepsis can rapidly escalate if left *** in deep learning(DL)offer powerful tools to address this ***:Thus,this study proposeda hybrid CNNBDLSTM,a combination of a convolutional neural network(CNN)with a bi-directional long shorttermmemory(BDLSTM)model to predict sepsis *** the proposed model provides a robustframework that capitalizes on the complementary strengths of both architectures,resulting in more accurate andtimelier ***:The sepsis prediction method proposed here utilizes temporal feature extraction todelineate six distinct time frames before the onset of *** time frames adhere to the sepsis-3 standardrequirement,which incorporates 12-h observation windows preceding sepsis *** models were trained usingthe Medical Information Mart for Intensive Care III(MIMIC-III)dataset,which sourced 61,522 patients with 40clinical variables obtained from the IoT medical *** confusion matrix,the area under the receiveroperating characteristic curve(AUCROC)curve,the accuracy,the precision,the F1-score,and the recall weredeployed to evaluate ***:The CNNBDLSTMmodel demonstrated superior performance comparedto the benchmark and other models,achieving an AUCROC of 99.74%and an accuracy of 99.15%one hour beforesepsis *** results indicate that the CNNBDLSTM model is highly effective in predicting sepsis onset,particularly within a close proximity of one ***:The results could assist practitioners in increasingthe potential survival of the patient one hour before sepsis onset.

关键词： Temporal derivatives hybrid deep learning predicting sepsis onset MIMIC III machine learning(ML) deep learning

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Effect of Health Education Program on Self-Efficacy and Functional Capacity of Patients with Coronary Artery Bypass Surgery in Khartoum State-Sudan, 2015-2019

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World Journal of Cardiovascular Surgery（心血管外科国际期刊） 2023年第12期

作者： Mohamed Idriss Yahya musa Egbal Abbashar Algamar manal elzein musa ismail Osama Mohamed Elsanousi Amair Siddig Alhussein Zeinab Abaker Ahmed Omer Abdalgabar musa Hassan

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Beyond the Usual Suspects (Aortic Dissection in Patients with Chronic Kidney Disease)

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International Journal of Clinical Medicine 2024年第9期15卷 436-442页

作者： Marwa Morgom Shazad Anjum Sujood musa Awadelseed Hanan Nayef Alajard Yageen ismail Bakhiet Emergency Medicine Hamad General Hospital Doha Qatar

A comprehensive differential diagnosis is essential in the emergency department, even when patient presentations are atypical. Timely recognition of life-threatening conditions, such as aortic dissection, hinges on th... 详细信息

关键词： Chest Discomfort Atypical Presentation of Aortic Dissection Differential Diagnosis Acute Type A Aortic Dissection Aortic Dissection Diagnosis

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Retinoscopes:Past and present

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World Journal of Methodology 2024年第3期14卷 126-140页

作者： Mutali musa Ehimare Enaholo Babatunde ismail Bale Carlo Salati Leopoldo Spadea Marco Zeppieri Department of Optometry University of BeninBenin 300283Nigeria Department of Ophthalmology Africa Eye Laser CentreBenin 300105Nigeria Department of Ophthalmology Centre for Sight AfricaNkpor 434101Nigeria Department of Ophthalmology University Hospital of UdineUdine 33100Italy Eye Clinic Policlinico Umberto I"Sapienza"University of RomeRome 00142Italy

BACKGROUND Retinoscopy is arguably the most important method in the eye clinic for diagnosing and managing refractive *** of retinoscopy include its noninvasive nature,ability to assess patients of all ages,and usefulness in patients with limited cooperation or communication *** To discuss the history of retinoscopes and examine current literature on the *** A search was conducted on the PubMed and with the reference citation analysis(https://***)database using the term"Retinoscopy,"with a range restricted to the last 10 years(2013-2023).The search string algorithm was:"Retinoscopy"(MeSH Terms)OR"Retinoscopy"(All Fields)OR"Retinoscopes"(All Fields)AND[(All Fields)AND 2013:2023(pdat)].RESULTS This systematic review included a total of 286 *** reviewed iterations of the retinoscope into autorefractors,infrared photo retinoscope,television retinoscopy,and the Wifi enabled digital *** The retinoscope has evolved significantly since its discovery,with a significant improvement in its diagnostic *** it has advantages such as non-invasiveness and broad applicability,limitations exist,and the need for skilled interpretation *** ongoing research,including the integration of artificial intelligence,retinoscopy is expected to continue advancing and playing a vital role in eye care.

关键词： Retinoscopy Autorefractor Refractive errors Ophthalmology Optics Artificial intelligence

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Possible viral agents to consider in the differential diagnosis of blepharoconjunctivitis

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World Journal of Virology 2024年第4期13卷 120-134页

作者： Mutali musa Babatunde ismail Bale Ayuba Suleman Gladness Aluyi-Osa Ekele Chukwuyem FabianaD’Esposito Caterina Gagliano Antonio Longo Andrea Russo Marco Zeppieri Department of Optometry University of BeninBenin 300283Nigeria Department of Ophthalmology Africa Eye Laser Centre LtdBenin 300105Nigeria Department of Ophthalmology Centre for Sight Africa LtdNkpor 434212Nigeria Imperial College Ophthalmic Research Group Unit Imperial CollegeLondon NW15QHUnited Kingdom GENOFTA srl Via A.Balsamo93Naples 80065Italy Department of Medicine and Surgery University of Enna"Kore"Catania 94100Italy Eye Clinic Catania University San Marco HospitalCatania 95121Italy Department of Ophthalmology University Hospital of CataniaCatania 95123Italy Department of Ophthalmology University Hospital of UdineUdine 33100Italy

BACKGROUND Blepharoconjunctivitis poses a diagnostic challenge due to its diverse etiology,including viral *** can be acute or chronic,selflimiting,or needing medical *** To review possible viral agents crucial for accurate differential diagnosis in cases of *** The PubMed database was searched for records relating to viral *** search string generated was“("virally"[All Fields]OR"virals"[All Fields]OR"virology"[MeSH Terms]OR"virology"[All Fields]OR"viral"[All Fields])AND"Blepharoconjunctivitis"[All Fields]".RESULTS A total of 24 publications were generated from the search *** lists from each relevant article were also searched for more information and included in this *** etiologies such as adenovirus,herpes simplex virus(HSV),varicella-zoster virus(VZV),and Epstein-Barr virus(EBV)are frequently *** infections manifest with follicular conjunctivitis and preauricular lymphadenopathy,often presenting as epidemic *** and VZV infections can result in herpetic keratitis and may exhibit characteristic dendritic corneal ***,although less common,can cause unilateral or bilateral follicular conjunctivitis,particularly in immunocompromised *** potential viral agents,such as enteroviruses and molluscum contagiosum virus,should also be considered,especially in pediatric *** Prompt recognition of these viral etiologies is essential for appropriate management and prevention of ***,a thorough understanding of the clinical presentation,epidemiology,and diagnostic modalities is crucial for accurate identification and management of viral blepharoconjunctivitis.

关键词： Viral Blepharoconjunctivitis Herpes simplex virus Varicella-Zoster Epstein-Barr

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Dengue outbreaks in northern Nigeria: Evaluating the recommended Takeda vaccine and future prevention strategies

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World Journal of Virology 2024年第3期13卷 41-48页

作者： ismail Rabiu Hafsat Abubakar musa Zephaniah Isaiah Mujahid Hussaini Muhammad Muhsin Umar Suleiman Mustapha Jaafaru Isah Abdullahi Aminu Shehu Mariya Abdullahi Sani College of Life Science Department of Biomedical Science and Environmental BiologyKaohsiung Medical UniversityKaohsiung 80708Taiwan Department of Microbiology Faculty of Life ScienceBayero University KanoKano 700006Kano StateNigeria Department of Microbiology Umaru Musa Yar’adua UniversityKatsina 820102Katsina StateNigeria Department of Microbiology Faculty of ScienceKaduna State UniversityTafawa Balewa Way 800283Kaduna StateNigeria National Reference Laboratory Nigeria Center for Disease ControlGaduwa 900231AbujaNigeria Department of Microbiology and Biotechnology Federal UniversityDutse 720223Jigawa StateNigeria Monitoring and Evaluation Unit(Jigawa State Office) World Health OrganizationDutse 720223Jigawa StateNigeria

Dengue fever,caused by the dengue virus(DENV),poses a significant public health challenge globally,with Nigeria experiencing sporadic outbreaks.A clear understanding of the dengue burden has not been achieved in Nigeria,just as in other African *** the epidemiology and burden of dengue fever is essential for effective prevention and control *** paper examines the recent dengue outbreaks in northern Nigeria,particularly in Sokoto state,and evaluates the recommended Takeda dengue vaccine(TDV)along with future prevention *** limited surveillance and underreporting,dengue fever is endemic in Nigeria(with over 5 million cases and 5000 dengue-related deaths in 2023),with recent outbreaks indicating a growing *** TDV,a live attenuated tetravalent vaccine,has shown promise in preventing dengue fever,but challenges such as vaccine acceptance and access-ibility need to be *** urbanization contributes to the disease's spread,which is influenced by factors such as population density,cultural beliefs,water storage practices,hygiene,and water supply *** prevention strategies must focus on government intervention,community practices,and innovative vector control measures to mitigate the spread of DENV in *** study will serve as a valuable reference for policy-makers,researchers,and clinicians in the management and control of DENV in Nigeria and Africa as a whole.

关键词： Dengue outbreaks Northern Nigeria Takeda dengue vaccine Vaccine acceptance Epidemiology

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Blast-induced ground vibration prediction in granite quarries:An application of gene expression programming,ANFIS,and sine cosine algorithm optimized ANN

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International Journal of Mining Science and Technology 2021年第2期31卷 265-277页

作者： Abiodun ismail Lawal Sangki Kwon Olaide Sakiru Hammed musa Adebayo Idris Department of Energy Resources Engineering Inha UniversityIncheon 22212Republic of Korea Department of Mining Engineering Federal University of TechnologyAkureNigeria Department of Physics Federal UniversityOye-EkitiNigeria Division of Mining and Geotechnical Engineering Department of CivilEnvironmental and Natural Resources EngineeringLuleåUniversity of Technology97187 LuleåSweden

Blasting of rocks has intrinsic environmental impacts such as ground vibration,which can interfere with the safety of lives and ***,accurate prediction of the environmental impacts of blasting is imperative as the empirical models are not accurate as evident in the ***,there is need to consider some robust predictive models for accurate prediction *** expression programming(GEP),adaptive neuro-fuzzy inference system(ANFIS),and sine cosine algorithm optimized artificial neural network(SCA-ANN)models are proposed for predicting the blast-initiated ground vibration in five granite *** input parameters into the models are the distance from the point of blasting to the point of measurement(D),the weight of charge per delay(W),rock density(q),and the Schmidt rebound hardness(SRH)value while peak particle velocity(PPV)is the targeted output.100 datasets were used in developing the proposed *** performance of the proposed models was examined using the coefficient of determination(R2)and error *** R2 values obtained for the GEP,ANFIS,and SCA-ANN models are 0.989,0.997,and 0.999,respectively,while their errors are close to *** proposed models are compared with an empirical model and are found to outperform the empirical model.

关键词： Artificial intelligence Blasting Rock density Comminution Environmental impacts Sensitivity analysis

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Predictions of elemental composition of coal and biomass from their proximate analyses using ANFIS, ANN and MLR

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International Journal of Coal Science & Technology 2021年第1期8卷 124-140页

作者： Abiodun ismail Lawal Adeyemi Emman Aladejare Moshood Onifade Samson Bada musa Adebayo Idris Department of Mining Engineering Federal University of TechnologyAkureNigeria Oulu Mining School University of OuluOuluFinland Informetrics Research Group Ton Duc Thang UniversityHo Chi Minh CityVietnam Faculty of Applied Sciences Ton Duc Thang UniversityHo Chi Minh CityVietnam Clean Coal and Sustainable Energy Research Group Faculty of Engineering and the Built EnvironmentUniversity of the WitwatersrandJohannesburgSouth Africa Division of Mining and Geotechnical Engineering Department of CivilEnvironmental and Natural Resources EngineeringLuleåUniversity of TechnologyLuleåSweden

The elemental composition of coal and biomass provides significant parameters used in the design of almost all energy conversion systems and *** laboratory tests to determine the elemental composition of coal and biomass is time-consuming and ***,limited research has suggested that there is a correlation between parameters obtained from elemental and proximate analyses of these *** this study,some predictive models of the elemental composition of coal and biomass using soft computing and regression analyses have been ***-one samples including parameters of elemental and proximate analyses were used during the analyses to develop multiple prediction *** variables for multiple prediction models were selected as carbon,hydrogen,and *** volatile matter,fixed carbon,moisture and ash contents as independent variables,three different prediction models were developed for each dependent parameter using ANFIS,ANN,and *** addition,a routine for selecting the best predictive model was suggested in the *** reliability of the established models was tested by using various prediction performance indices and the models were found to be ***,the developed models can be used to determine the elemental composition of coal and biomass for practical purposes.

关键词： Biomass Coal Elemental composition Proximate analysis Soft computing Regression analysis

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