Suchergebnisse

BACKGROUND: Respiratory Care Practitioner (RCP) is a vital healthcare professional in Saudi Arabia (SA). Many factors regarding the education of RCPs in SA are unknown, including the number of active institutions, levels of education and barriers to promoting the profession. METHODS: A cross sectional-based survey was conducted between June 1st, 2020 and September 20th, 2020 in SA to explore the status of RCPs education. Institutions that offered RCP programs were identified through the Ministry of Education and Ministry of Defense academic programs websites. The RCP program directors were invited to participate in an electronic survey. RESULTS: Among the 74 institutions searched, 23 indicated that they offered RC programs. Only 13 (56.52%) responded to the survey. Among all programs, four (17.39%) were inactive, 17 (73.91%) were governmental institutions, and only one (4.35%) obtained a national accreditation. From the 13 respondents, there were 1297 students enrolled and 123 full-time faculty members. None of the institutions reported offering postgraduate RC degrees. The respondents reported many barriers; however, shortage of staff (76.92%), lack of postgraduate programs (69.23%), lack of research activity (69.23%), and ineffective communications between institutions (61.54%) were the most reported barriers. CONCLUSION: The RC education in SA is developing but not well distributed throughout the country. The shortage of staff and the limited number of postgraduate degree holders potentially contributed to the delay in establishing postgraduate RC degrees, obtaining accreditation, and implementing subspecialties to advance the profession in terms of research and quality of care.

Mohammed A Almeshari,1,2 Ziyad Alshehri,3 Jaber S Alqahtani,4 Ali M Alasmari,3 Ahmed A Alzahrani,3 Fahad H Alahmadi,3 Abdullah S Alsulayyim,5 Faraj K Alenezi,6 Khalid S Alwadeai1 1Rehabilitation Health Sciences Department, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia; 2Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK; 3Department of Respiratory Therapy, College of Medical Rehabilitation Sciences, Taibah University, Madinah, Saudi Arabia; 4Department of Respiratory Care, Prince Sultan Military College of Health Sciences, Dammam, Saudi Arabia; 5Department of Respiratory Care, College of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia; 6College of Applied Medical Sciences, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi ArabiaCorrespondence: Mohammed A Almeshari, Rehabilitation Health Sciences Department, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia, Tel +966 11 469 3593, Email malmeshari@ksu.edu.saBackground: Respiratory Care Practitioner (RCP) is a vital healthcare professional in Saudi Arabia (SA). Many factors regarding the education of RCPs in SA are unknown, including the number of active institutions, levels of education and barriers to promoting the profession.Methods: A cross sectional-based survey was conducted between June 1st, 2020 and September 20th, 2020 in SA to explore the status of RCPs education. Institutions that offered RCP programs were identified through the Ministry of Education and Ministry of Defense academic programs websites. The RCP program directors were invited to participate in an electronic survey.Results: Among the 74 institutions searched, 23 indicated that they offered RC programs. Only 13 (56.52%) responded to the survey. Among all programs, four (17.39%) were inactive, 17 (73.91%) were governmental institutions, and only one (4.35%) obtained a national accreditation. From the 13 respondents, there were 1297 students enrolled and 123 full-time ...

Purpose: The purposes of this study were to assess the knowledge, attitude, and practice (KAP) of AI in Endodontics and implantology education among dental professionals' and dental students in Endodontics and implantology education at the Kingdom of Saudi Arabia. Materials and methods: The present study is a descriptive cross-sectional online survey that was carried out among dental students and dental professionals in the Kingdom of Saudi Arabia. A self-structured, close-ended questionnaire that was administered that consisted of 17 questions was included. The questionnaire validity and reliability were evaluated for vetting and remarks. The questions were circulated through Google Forms, and it was circulated among the study participants through online mode. The data were collected systematically, and SPSS Statistics version 26.0 was used for data analysis. Results: There were 805 responses, (443 dental students and 362 dental professionals') participated in the study through Google Forms. Among these, 435 (54%) were females and 370 (46%) were males. In the study group, 491 (61.0%) were aware of AI, and 314 (39.0 %) were not aware (p-value 0.000). Among the 17 questions used to assess the KAP, 12 questions were significant with a p-value less than 0.05. More than 73 % prefer to use artificial intelligence in endodontics and implantology education. About 120 (14.9%) agreed that AI will replace the role of dentists in the future. There were no significant results in comparing dental students and dental professionals. Conclusion: The current study contributes valuable insights into knowledge, attitudes, and perceptions related to artificial intelligence among dental student and professionals in the Kingdom of Saudi Arabia. Despite some reservations, the majority show a positive view towards the role of AI in the endodontic education, which indicates fertile ground for further exploration and integration of AI technologies into endodontic education. There is a need for continued future research to explore strategies to improve the potential of AI while test their reliability and relevance in endodontic and implantology education.

The Coronavirus disease 2019 (COVID-19) is an infectious disease spreading rapidly and uncontrollably throughout the world. The critical challenge is the rapid detection of Coronavirus infected people. The available techniques being utilized are body-temperature measurement, along with anterior nasal swab analysis. However, taking nasal swabs and lab testing are complex, intrusive, and require many resources. Furthermore, the lack of test kits to meet the exceeding cases is also a major limitation. The current challenge is to develop some technology to non-intrusively detect the suspected Coronavirus patients through Artificial Intelligence (AI) techniques such as deep learning (DL). Another challenge to conduct the research on this area is the difficulty of obtaining the dataset due to a limited number of patients giving their consent to participate in the research study. Looking at the efficacy of AI in healthcare systems, it is a great challenge for the researchers to develop an AI algorithm that can help health professionals and government officials automatically identify and isolate people with Coronavirus symptoms. Hence, this paper proposes a novel method CoVIRNet (COVID Inception-ResNet model), which utilizes the chest X-rays to diagnose the COVID-19 patients automatically. The proposed algorithm has different inception residual blocks that cater to information by using different depths feature maps at different scales, with the various layers. The features are concatenated at each proposed classification block, using the average-pooling layer, and concatenated features are passed to the fully connected layer. The efficient proposed deep-learning blocks used different regularization techniques to minimize the overfitting due to the small COVID-19 dataset. The multiscale features are extracted at different levels of the proposed deep-learning model and then embedded into various machine-learning models to validate the combination of deep-learning and machine-learning models. The proposed CoVIR-Net model ...

PURPOSE: This study aims to measure the knowledge levels toward retinopathy of prematurity (ROP) among pediatricians covering neonatal intensive care units (NICUs) in the major hospitals in Tabuk, Saudi Arabia. To our knowledge, this is the first report to assess the awareness level of ROP in the NICU pediatricians in the region. PATIENTS AND METHODS: This is a quantitative, non-experimental, cross-sectional, descriptive study using self-administered electronic questionnaires to assess the knowledge level among NICU pediatricians at the main hospitals of Tabuk city. We used a self-administer online validated knowledge, attitude, and practice (KAP) questionnaire. A scoring system was implemented in the data analysis, depending on the correct chosen answers on the KAP questionnaire, to present the ROP knowledge level in the participants. RESULTS: The study included 41 NICU pediatricians. Most of the participants' age exceeded 40 years (51.2%). The majority were recruited from either King Salman Military hospital (34.1%) or King Khalid hospital (31.7%). The average frequency of preterm infants seen per month exceeded 15 infants among 41.4% of the respondents. Most pediatricians recognized the important treatment modalities available for ROP (92.7%); however, only 24.4% of them could recognize that 32 weeks or less is the gestational age of the screening criteria for ROP. The overall knowledge score ranged between 4 and 10, out of a possible maximum of 12 with a mean ± SD of (6.68±1.47). The majority (75.6%) believe that the ROP treatment can successfully prevent blindness. CONCLUSION: Our study demonstrated that the NICU pediatricians have good knowledge about the treatment modalities of ROP. However, their knowledge about the inclusion criteria of ROP screening was insufficient. Thus, we highlighted the necessity of raising the awareness level and the strict application of the clinical guidelines among NICU pediatricians and healthcare workers involved in managing ROP.

Hani B Albalawi,1 Faris Hashem,1 Amal Nafea J Alharbi,2 Naif M Alali,1 Wejdan Mohammed S Alshehri,2 Abdulrahman Arshed N Alharfy,2 Abdulmajeed Mousa M Alzahrani,2 Nouf Mohammed A Albalawi,2 Moustafa S Magliyah,3 Saad H Alenezi4 1Department of Ophthalmology, Faculty of Medicine, University of Tabuk, Tabuk, Saudi Arabia; 2Faculty of Medicine, University of Tabuk, Tabuk, Saudi Arabia; 3Department of Ophthalmology, Prince Mohammed Medical City, Aljouf, Saudi Arabia; 4Department of Ophthalmology, College of Medicine, Majmaah University, Almajmaah, Saudi ArabiaCorrespondence: Hani B AlbalawiDepartment of Ophthalmology, Faculty of Medicine, University of Tabuk, Tabuk, 71491, Saudi Arabia, Email hb.albalawi@ut.edu.saPurpose: This study aims to measure the knowledge levels toward retinopathy of prematurity (ROP) among pediatricians covering neonatal intensive care units (NICUs) in the major hospitals in Tabuk, Saudi Arabia. To our knowledge, this is the first report to assess the awareness level of ROP in the NICU pediatricians in the region.Patients and Methods: This is a quantitative, non-experimental, cross-sectional, descriptive study using self-administered electronic questionnaires to assess the knowledge level among NICU pediatricians at the main hospitals of Tabuk city. We used a self-administer online validated knowledge, attitude, and practice (KAP) questionnaire. A scoring system was implemented in the data analysis, depending on the correct chosen answers on the KAP questionnaire, to present the ROP knowledge level in the participants.Results: The study included 41 NICU pediatricians. Most of the participants' age exceeded 40 years (51.2%). The majority were recruited from either King Salman Military hospital (34.1%) or King Khalid hospital (31.7%). The average frequency of preterm infants seen per month exceeded 15 infants among 41.4% of the respondents. Most pediatricians recognized the important treatment modalities available for ROP (92.7%); however, only 24.4% of them could recognize that 32 weeks or less is the gestational age of the screening criteria for ROP. The overall knowledge score ranged between 4 and 10, out of a possible maximum of 12 with a mean ± SD of (6.68± 1.47). The majority (75.6%) believe that the ROP treatment can successfully prevent blindness.Conclusion: Our study demonstrated that the NICU pediatricians have good knowledge about the treatment modalities of ROP. However, their knowledge about the inclusion criteria of ROP screening was insufficient. Thus, we highlighted the necessity of raising the awareness level and the strict application of the clinical guidelines among NICU pediatricians and healthcare workers involved in managing ROP.Keywords: retinopathy of prematurity, pediatricians, preventable, preterm infant, knowledge, attitude, practice, ROP

Background: The COVID-19 pandemic contributed to a significant mental health crisis and caused a widening economic crisis, growing financial loss, and numerous uncertainties. This pandemic brought alarming implications and overall increased risk for psychiatric illness. This study explores the psychological impact experienced by patients who tested positive from coronavirus in the Najran region, Saudi Arabia.Design and methods: This exploratory analysis included 210 COVID-19 positive patients. The study was conducted during a six-month period starting from March to September 2020, in two tertiary government hospitals in Najran, Saudi Arabia. Samples were selected using purposive sampling; survey questionnaire and face-to-face interview to collect the data. Statistical data were calculated using IBM SPSS v. 2.0 to compute the following statistical formulas: percentage distribution, mean, standard deviation, and Chi-square test of independence.Results: The findings of this study revealed that the majority of COVID-19 positive patients were middle-aged adults (n=98 or 46.7%), male (n=178 or 84.8%), and were non-Saudi nationals (n=132 or 62.9%). It was found out that COVID-19 patients experienced bothersome behaviour at a very high level (x̅=2.63±0.6734). Meanwhile, depression (x̅=2.51±0.7070), worry (x̅=2.23±0.8811), and anxiety (x̅=2.21±0.8719) was only at a high level.Conclusions: The study revealed that the majority of participants had high levels of depression, anxiety and bothersome behaviours. However, demographic characteristics like age, sex, and nationality were not significantly related to coronavirus patients' psychological health problems. Assessments and interventions for psychosocial concerns, integration of mental health considerations, and treatment for severe psychosocial consequences must be administered in COVID-19 care facilities.

Altres ajuts: We thank CERN for the very successful operation of the LHC, as well as the support staff from our institutions without whom ATLAS could not be operated efficiently. We acknowledge the support of MINECO, Spain and EPLANET, ERC, ERDF, FP7, Horizon 2020 and Marie Skłodowska-Curie Actions, European Union and CERCA Programme Generalitat de Catalunya. Funded by SCOAP3. ; Two searches for new phenomena in final states containing a same-flavour opposite-sign lepton (electron or muon) pair, jets, and large missing transverse momentum are presented. These searches make use of proton-proton collision data, collected during 2015 and 2016 at a centre-of-mass energy by the ATLAS detector at the large hadron collider, which correspond to an integrated luminosity of . Both searches target the pair production of supersymmetric particles, squarks or gluinos, which decay to final states containing a same-flavour opposite-sign lepton pair via one of two mechanisms: a leptonically decaying Z boson in the final state, leading to a peak in the dilepton invariant-mass distribution around the Z boson mass; and decays of neutralinos (e.g. ), yielding a kinematic endpoint in the dilepton invariant-mass spectrum. The data are found to be consistent with the Standard Model expectation. Results are interpreted in simplified models of gluino-pair (squark-pair) production, and provide sensitivity to gluinos (squarks) with masses as large as 1.70 (980 ).

A search for W'-boson production in the W' -> t (b) over bar -> q (q) over bar 'b (b) over bar decay channel is presented using 36.1 fb(-1) of 13 TeV proton-proton collision data collected by the ATLAS detector at the Large Hadron Collider in 2015 and 2016. The search is interpreted in terms of both a left-handed and a right-handed chiral W' boson within the mass range 1-5 TeV. Identification of the hadronically decaying top quark is performed using jet substructure tagging techniques based on a shower deconstruction algorithm. No significant deviation from the Standard Model prediction is observed and the results are expressed as upper limits on the W' -> t (b) over bar production cross-section times branching ratio as a function of the W'-boson mass. These limits exclude W' bosons with right-handed couplings with masses below 3.0 TeV and W' bosons with left-handed couplings with masses below 2.9 TeV, at the 95% confidence level. (C) 2018 The Author. Published by Elsevier B.V. ; ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW, Austria; FWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq, Brazil; FAPESP, Brazil; NSERC, Canada; NRC, Canada; CFI, Canada; CERN; CONICYT, Chile; CAS, China; MOST, China; NSFC, China; COLCIENCIAS, Colombia; MSMT CR, Czech Republic; MPO CR, Czech Republic; VSC CR, Czech Republic; DNRF, Denmark; DNSRC, Denmark; IN2P3-CNRS, France; CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, Germany; HGF, Germany; MPG, Germany; GSRT, Greece; RGC, China; Hong Kong SAR, China; ISF, Israel; I-CORE, Israel; INFN, Italy; MEXT, Japan; JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MNiSW, Poland; NCN, Poland; FCT, Portugal; MNE/IFA, Romania; MES of Russia, Russian Federation; NRC KI, Russian Federation; JINR; MESTD, Serbia; MSSR, Slovakia; ARRS, Slovenia; MIA, Slovenia; DST/NRF, South Africa; MINECO, Spain; SRC, Sweden; Wallenberg Foundation, Sweden; SERI, Switzerland; SNSF, Switzerland; Canton of Bern, Switzerland; Canton of Geneva, Switzerland; MOST, Taiwan; TAEK, Turkey; STFC, United Kingdom; DOE, United States of America; NSF, United States of America; BCKDF; Canada Council, Canada; Ontario Innovation Trust, Canada; EPLANET, European Union; ERC, European Union; ERDF, European Union; FP7, European Union; Investissements d'Avenir Labex and Idex, France; DFG, Germany; AvH Foundation, Germany; Herakleitos programme; EU-ESF; Greek NSRF; BSF, Israel; GIF, Israel; Minerva, Israel; BRF, Norway; CERCA Programme Generalitat de Catalunya, Spain; Royal Society, United Kingdom; Benoziyo Center, Israel; Canarie, Canada; CRC, Canada; Compute Canada, Canada; FQRNT, Canada; Horizon 2020, European Union; Marie Sklodowska-Curie Actions, European Union; ANR, France; Region Auvergne, France; Fondation Partager le Savoir, France; Thales programme; Aristeia programme; Generalitat Valenciana, Spain; Leverhulme Trust, United Kingdom ; Open access journal. ; This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.

A search for new phenomena in final states containing an e(+)e(-) or m(+)m(-) pair, jets, and large missing transverse momentum is presented. This analysis makes use of proton-proton collision data with an integrated luminosity of 36.1 fb(-1), collected during 2015 and 2016 at a centre of-mass energy Os = 13 TeV with the ATLAS detector at the Large Hadron Collider. The search targets the pair production of supersymmetric coloured particles (squarks or gluinos) and their decays into final states containing an e(+)e(-) or m(+)m(-) pair and the lightest neutralino ((c) over tilde (0)(1)) via one of two next-to-lightest neutralino ((c) over tilde (0)(2)) decay mechanisms: (c) over tilde (0)(2) Z (c) over tilde (0)(1), where the Z boson decays leptonically leading to a peak in the dilepton invariant mass distribution around the Z boson mass; and (c) over tilde (0)(2) l(+)1(-) (c) over tilde (0)(1) with no intermediate l(+)l(-) resonance, yielding a kinematic endpoint in the dilepton invariant mass spectrum. The data are found to be consistent with the Standard Model expectation. Results are interpreted using simplified models, and exclude gluinos and squarks with masses as large as 1.85 and 1.3 TeV at 95% confidence level, respectively. ; ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW, Austria; FWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq, Brazil; FAPESP, Brazil; NSERC, Canada; NRC, Canada; CFI, Canada; CERN; CONICYT, Chile; CAS, China; MOST, China; NSFC, China; COLCIENCIAS, Colombia; MSMT CR, Czech Republic; MPO CR, Czech Republic; VSC CR, Czech Republic; DNRF, Denmark; DNSRC, Denmark; IN2P3-CNRS, France; CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, Germany; HGF, Germany; MPG, Germany; GSRT, Greece; RGC, China; Hong Kong SAR, China; ISF, Israel; I-CORE, Israel; Benoziyo Center, Israel; INFN, Italy; MEXT, Japan; JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MNiSW, Poland; NCN, Poland; FCT, Portugal; MNE/IFA, Romania; MES of Russia, Russian Federation; NRC KI, Russian Federation; JINR; MESTD, Serbia; MSSR, Slovakia; ARRS, Slovenia; MIZS, Slovenia; DST/NRF, South Africa; MINECO, Spain; SRC, Sweden; Wallenberg Foundation, Sweden; SERI, Switzerland; SNSF, Switzerland; Cantons of Bern and Geneva, Switzerland; MOST, Taiwan; TAEK, Turkey; STFC, United Kingdom; DOE, United States of America; NSF, United States of America; BCKDF; Canada Council; CANARIE; CRC; Compute Canada; FQRNT; Ontario Innovation Trust, Canada; EPLANET; ERC; ERDF; FP7, Horizon 2020; Marie Sklodowska-Curie Actions, European Union; Investissements d'Avenir Labex and Idex; ANR; Region Auvergne and Fondation Partager le Savoir, France; DFG; AvH Foundation, Germany; Herakleitos; Thales and Aristeia - EU-ESF; Greek NSRF; BSF; GIF; Minerva, Israel; BRF, Norway; CERCA Programme Generalitat de Catalunya, Spain; Generalitat Valenciana, Spain; Royal Society and Leverhulme Trust, United Kingdom; WLCG; ATLAS Tier-1 facilities at TRIUMF (Canada); NDGF (Denmark, Norway, Sweden); CC-IN2P3 (France); KIT/GridKA (Germany); INFN-CNAF (Italy); L-T1 (Netherlands); PIC (Spain); ASGC (Taiwan); RAL (UK); BNL (USA); Tier-2 facilities worldwide and large non-WLCG resource providers ; Open access journal. ; This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.

Searches for dijet resonances with sub-TeV masses using the ATLAS detector at the Large Hadron Collider can be statistically limited by the bandwidth available to inclusive single-jet triggers, whose data-collection rates at low transverse momentum are much lower than the rate from standard model multijet production. This Letter describes a new search for dijet resonances where this limitation is overcome by recording only the event information calculated by the jet trigger algorithms, thereby allowing much higher event rates with reduced storage needs. The search targets low-mass dijet resonances in the range 450-1800 GeV. The analyzed data set has an integrated luminosity of up to 29.3 fb(-1) and was recorded at a center-of-mass energy of 13 TeV. No excesses are found; limits are set on Gaussian-shaped contributions to the dijet mass distribution from new particles and on a model of dark-matter particles with axial-vector couplings to quarks. ; ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW, Austria; FWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq, Brazil; FAPESP, Brazil; NSERC, Canada; NRC, Canada; CFI, Canada; CERN; CONICYT, Chile; CAS, China; MOST, China; NSFC, China; COLCIENCIAS, Colombia; MSMT CR, Czech Republic; MPO CR, Czech Republic; VSC CR, Czech Republic; DNRF, Denmark; DNSRC, Denmark; IN2P3-CNRS, France; CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, Germany; HGF, Germany; MPG, Germany; GSRT, Greece; RGC, China; Hong Kong SAR, China; ISF, Israel; I-CORE, Israel; Benoziyo Center, Israel; INFN, Italy; MEXT, Japan; JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MNiSW, Poland; NCN, Poland; FCT, Portugal; MNE/IFA, Romania; MES of Russia; NRC KI; Russian Federation; JINR; MESTD, Serbia; MSSR, Slovakia; ARRS, Slovenia; MIZS, Slovenia; DST/NRF, South Africa; MINECO, Spain; SRC, Sweden; Wallenberg Foundation, Sweden; SERI, Switzerland; SNSF, Switzerland; Canton of Bern, Switzerland; Canton of Geneva, Switzerland; MOST, Taiwan; TAEK, Turkey; STFC, United Kingdom; DOE, United States of America; NSF, United States of America; BCKDF, Canada; Canada Council, Canada; CANARIE, Canada; CRC, Canada; Compute Canada, Canada; FQRNT, Canada; Ontario Innovation Trust, Canada; EPLANET, European Union; ERC, European Union; ERDF, European Union; FP7, European Union; Horizon 2020, European Union; Marie Sklodowska-Curie Actions, European Union; Investissements d'Avenir Labex and Idex, France; ANR, France; Region Auvergne, France; Fondation Partager le Savoir, France; DFG, Germany; AvH Foundation, Germany; Herakleitos; Thales programme - EU-ESF; Aristeia programme - EU-ESF; Greek NSRF; BSF, Israel; GIF, Israel; Minerva, Israel; BRF, Norway; CERCA Programme Generalitat de Catalunya, Spain; Generalitat Valenciana, Spain; Royal Society, United Kingdom; Leverhulme Trust, United Kingdom ; This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.