Multi-Stage Learning Framework Using Convolutional Neural Network and Decision Tree-Based Classification for Detection of DDoS Pandemic Attacks in SDN-Based SCADA Systems.

Supervisory Control and Data Acquisition (SCADA) systems, which play a critical role in monitoring, managing, and controlling industrial processes, face flexibility, scalability, and management difficulties arising from traditional network structures. Software-defined networking (SDN) offers a new opportunity to overcome the challenges traditional SCADA networks face, based on the concept of separating the control and data plane. Although integrating the SDN architecture into SCADA systems offers many advantages, it cannot address security concerns against cyber-attacks such as a distributed denial of service (DDoS). The fact that SDN has centralized management and programmability features causes attackers to carry out attacks that specifically target the SDN controller and data plane. If DDoS attacks against the SDN-based SCADA network are not detected and precautions are not taken, they can cause chaos and have terrible consequences. By detecting a possible DDoS attack at an early stage, security measures that can reduce the impact of the attack can be taken immediately, and the likelihood of being a direct victim of the attack decreases. This study proposes a multi-stage learning model using a 1-dimensional convolutional neural network (1D-CNN) and decision tree-based classification to detect DDoS attacks in SDN-based SCADA systems effectively. A new dataset containing various attack scenarios on a specific experimental network topology was created to be used in the training and testing phases of this model. According to the experimental results of this study, the proposed model achieved a 97.8% accuracy rate in DDoS-attack detection. The proposed multi-stage learning model shows that high-performance results can be achieved in detecting DDoS attacks against SDN-based SCADA systems.

The small GTPase regulatory protein Rac1 drives podocyte injury independent of cationic channel protein TRPC5.

Transient receptor potential canonical channels (TRPCs) are non-selective cationic channels that play a role in signal transduction, especially in G -protein-mediated signaling cascades. TRPC5 is expressed predominantly in the brain but also in the kidney. However, its role in kidney physiology and pathophysiology is controversial. Some studies have suggested that TRPC5 drives podocyte injury and proteinuria, particularly after small GTPase Rac1 activation to induce the trafficking of TRPC5 to the plasma membrane. Other studies using TRPC5 gain-of-function transgenic mice have questioned the pathogenic role of TRPC5 in podocytes. Here, we show that TRPC5 over-expression or inhibition does not ameliorate proteinuria induced by the expression of constitutively active Rac1 in podocytes. Additionally, single-cell patch-clamp studies did not detect functional TRPC5 channels in primary cultures of podocytes. Thus, we conclude that TRPC5 plays a role redundant to that of TRPC6 in podocytes and is unlikely to be a useful therapeutic target for podocytopathies.

Role of ultrasonography in upper airway assessment: A comparison with computerized tomography measurements.

INTRODUCTION: This study aimed to compare ultrasonography (US) measurements of the upper airway to computerized tomography (CT) measurements. Our study's primary outcome is to research the accuracy of US measurements in the evaluation of upper airway diameters when CT is taken as the gold standard; the secondary outcome is to determine the time required to obtain US measurements. METHODS: This prospective study included patients ≥18 years old that had undergone thoracic or neck CT due to current clinical necessity. The US measurement for each patient was performed by two researchers with different levels of experience, both of whom were blinded to each other and the CT measurements. Measurements were obtained from the vocal cords and subglottic region. The duration of the US performance was also recorded. RESULTS: The US and CT measurements were obtained from 94 patients. Concordance between US and CT measurements was found in the Bland-Altman analysis, with a mean -0.05 mm difference for vocal cord diameter and -1.2 mm for subglottic diameter. The intra-class correlation coefficients (ICC) between the CT and US measurements were 0.993, and 0.609 for vocal cord and subglottic diameter measurements, respectively. The ICC between US performers was 0.992 for vocal cord diameter and 0.959 for subglottic diameter. The US's mean time for vocal cord diameter measurement was 38 ± 23 s, and the mean time for subglottic diameter measurement was 49 ± 30 s. CONCLUSION: The concordance between US and CT measurements is high and the measurements of different practitioners with different experience levels are compatible with each other.

Evaluation of the Validity and Reliability of ANKUTRIAGE, a New Decision Support System in Pediatric Emergency Triage.

BACKGROUND: The intensity of emergency services is an increasing health problem all over the world, necessitating an effective triage system. The aim of this study was to evaluate the validity and reliability of the "ANKUTRIAGE" in children. METHODS: This prospective, longitudinal study was carried out at a pediatric emergency department. ANKUTRIAGE, a 5-level computer-aided triage decision support system, was developed. Patients younger than 18 years who do not need emergency intervention, who had complete vital sign measurements, who gave consent for the study, and who were admitted to the emergency service during working hours with trained personnel were included. For validity, agreement between the urgency levels determined by ANKUTRIAGE and the reference triage systems: Pediatric Canadian Triage and Acuity Scale and Emergency Severity Index, was evaluated. In addition, the association of urgency levels with clinical outcomes was studied. To assess reliability, patients were evaluated by 2 blinded healthcare professionals using ANKUTRIAGE and a quadratic weighted κ was estimated. RESULTS: A total of 1232 children with a median age of 4.00 years were included. ANKUTRIAGE acuity levels significantly correlated with the number of resources used, the number of patients undergoing life-saving procedures, pediatric intensive care unit, and overall hospitalization rates, respectively ( P < 0.001, P < 0.001, P < 0.001, P < 0.001). The agreement of ANKUTRIAGE with Pediatric Canadian Triage and Acuity Scale was found to be 0.94 (95% confidence interval [CI], 0.93-0.94), with an Emergency Severity Index of 0.75 (95% CI, 0.70-0.80). The interrater agreement between 2 evaluators who used ANKUTRIAGE reflected as excellent consistency 0.92 (95% CI, 0.89-0.95; κ > 0.8). CONCLUSIONS: ANKUTRIAGE demonstrated high agreement with clinical outcomes and with proven triage systems and reflected high reliability between users. ANKUTRIAGE will enable a more standardized and practical triage, especially in crowded pediatric emergency departments and in situations where triage is performed by health professionals with different experience and professions.

Ensemble Learning Framework for DDoS Detection in SDN-Based SCADA Systems.

Supervisory Control and Data Acquisition (SCADA) systems play a crucial role in overseeing and controlling renewable energy sources like solar, wind, hydro, and geothermal resources. Nevertheless, with the expansion of conventional SCADA network infrastructures, there arise significant challenges in managing and scaling due to increased size, complexity, and device diversity. Using Software Defined Networking (SDN) technology in traditional SCADA network infrastructure offers management, scaling and flexibility benefits. However, as the integration of SDN-based SCADA systems with modern technologies such as the Internet of Things, cloud computing, and big data analytics increases, cybersecurity becomes a major concern for these systems. Therefore, cyber-physical energy systems (CPES) should be considered together with all energy systems. One of the most dangerous types of cyber-attacks against SDN-based SCADA systems is Distributed Denial of Service (DDoS) attacks. DDoS attacks disrupt the management of energy resources, causing service interruptions and increasing operational costs. Therefore, the first step to protect against DDoS attacks in SDN-based SCADA systems is to develop an effective intrusion detection system. This paper proposes a Decision Tree-based Ensemble Learning technique to detect DDoS attacks in SDN-based SCADA systems by accurately distinguishing between normal and DDoS attack traffic. For training and testing the ensemble learning models, normal and DDoS attack traffic data are obtained over a specific simulated experimental network topology. Techniques based on feature selection and hyperparameter tuning are used to optimize the performance of the decision tree ensemble models. Experimental results show that feature selection, combination of different decision tree ensemble models, and hyperparameter tuning can lead to a more accurate machine learning model with better performance detecting DDoS attacks against SDN-based SCADA systems.

Pelvic Compression Device (Binder) Application Training in Medical Students: A Manikin Study.

BACKGROUND: Correct application of external pelvic compression devices (binders) is crucial in managing multitrauma patients with suspected pelvic fractures to control hemorrhage. Yet, there is a lack of practical training standards for pelvic compression device application in medical school education. OBJECTIVE: This study aimed to evaluate simulation training of pelvic compression device application by medical students to determine the number of applications required to meet proficiency measured by correct application and timeliness. METHODS: This is an observational cross-sectional measurement study of a convenience sample of 132 volunteer senior medical students who participated in a 30-min theoretical and simulation training session on the application of pelvic compression devices. The study was conducted between January 1, 2020, and March 1, 2020. Two weeks after the training, the students performed 10 consecutive pelvic compression device applications, each followed by a 5-min feedback session break. Application step accuracy and timing were observed and recorded. The percentage of correct applications was compared by χ2 test. RESULTS: The correct application rate for the first application was 42.4%, with an average of 92 s, 95% confidence interval (CI): 91.00-93.72. The highest correct application rate occurred in the eighth application (97%, p < .001), with an average application time of 87 s, 95% CI: 85.62-87.72. CONCLUSION: We found that at least eight pelvic compression device manikin applications were required to achieve proficiency.

Renal cell markers: lighthouses for managing renal diseases.

Kidneys, one of the vital organs in our body, are responsible for maintaining whole body homeostasis. The complexity of renal function (e.g., filtration, reabsorption, fluid and electrolyte regulation, and urine production) demands diversity not only at the level of cell types but also in their overall distribution and structural framework within the kidney. To gain an in depth molecular-level understanding of the renal system, it is imperative to discern the components of kidney and the types of cells residing in each of the subregions. Recent developments in labeling, tracing, and imaging techniques have enabled us to mark, monitor, and identify these cells in vivo with high efficiency in a minimally invasive manner. In this review, we summarize different cell types, specific markers that are uniquely associated with those cell types, and their distribution in the kidney, which altogether make kidneys so special and different. Cellular sorting based on the presence of certain proteins on the cell surface allowed for the assignment of multiple markers for each cell type. However, different studies using different techniques have found contradictions in cell type-specific markers. Thus, the term "cell marker" might be imprecise and suboptimal, leading to uncertainty when interpreting the data. Therefore, we strongly believe that there is an unmet need to define the best cell markers for a cell type. Although the compendium of renal-selective marker proteins presented in this review is a resource that may be useful to researchers, we acknowledge that the list may not be necessarily exhaustive.

Diaphragm dysfunction detected with ultrasound to predict noninvasive mechanical ventilation failure: A prospective cohort study.

OBJECTIVE: This study aimed to examine the use of point-of-care ultrasonography (POCUS) in detecting diaphragmatic dysfunction (DD) and evaluate its ability to predict noninvasive mechanical ventilation (NIV) failure in patients presented to the emergency department with acute exacerbation of chronic obstructive pulmonary disease (AECOPD). METHODS: In this prospective cohort study, the diaphragm was examined using POCUS in patients with AECOPD. DD was defined as a diaphragm thickening fraction of less than 20% during spontaneous breathing. NIV failure was the primary outcome of the study, and duration of hospital stay and in-hospital mortality were the secondary outcomes. Specificity, sensitivity, positive predictive value, and negative predictive value were estimated for predicting NIV failure in DD and evaluating the diagnostic performance of POCUS. RESULTS: 60 patients were enrolled the study. NIV failure was found in 11 (73.3%) of 15 patients with DD and in 2 (4.4%) of 45 patients without DD. In predicting NIV failure, DD had a sensitivity of 84.6% (95% confidence interval [CI]:54.6-98.1), specificity of 91.5% (95% CI:79.6-97.6), positive predictive value of 73.3% (95% CI:51.2-87.8), and negative predictive value of 95.6% (95% CI:85.7-98.7). The duration of hospital stay was not different between groups (p = .065). No in-hospital mortality was seen in patients without DD. CONCLUSIONS: DD has high sensitivity and specificity in predicting NIV failure in patients admitted to the emergency department with AECOPD. DD can be assessed by an experienced clinician noninvasively using POCUS in emergency departments.

Comparison of Long-Term Automated Retinal Layer Segmentation Analysis of the Macula between Silicone Oil and Gas Tamponade after Vitrectomy for Rhegmatogenous Retinal Detachment.

PURPOSE: To identify long-term changes in individual retinal layer thickness using automated retinal layer segmentation analysis on high-resolution spectral-domain optical coherence tomography (SD-OCT) scans of eyes with macula-off rhegmatogenous retinal detachment (RRD) treated with vitreoretinal surgery (VRS) and gas or silicone oil tamponade and having single-operation success. METHODS: A total of 58 patients operated on by VRS for RRD and followed up for 12 months were imaged by SD-OCT. The patients with retinal diseases such as an epiretinal membrane or cystic macular edema in the operated and fellow eyes were excluded. The thicknesses of the retinal nerve fiber layer (RNFL), ganglion cell layer (GCL), inner plexiform layer (IPL), inner nuclear layer (INL), outer plexiform layer (OPL), outer nuclear layer (ONL), photoreceptor layer, and retinal pigment epithelium were compared to those of the fellow eyes after the 12-month follow-up. Thickness changes in individual layers were quantitatively analyzed in the operated and fellow eyes and correlated with the type of tamponade used in the surgery. RESULTS: Spectralis OCT automated segmentation software was used for the retinal layer analysis. There were 22 females and 36 males. Their mean age was 60.7 ± 11.2 years. The mean central macular thickness was 214.3 ± 29.5 µm in the operated and 229.7 ± 21.7 µm in the fellow eyes (p = 0.008). There was a statistically significant difference between the operated and the healthy fellow eyes in the following layers: the RNFL (p = 0.017), GCL (p = 0.02), INL (p = 0.005), and ONL (p = 0.008) in the central foveal area; the RNFL (p < 0.001), INL (p = 0.017), and ONL (p = 0.022) in the perifoveal ring; and the RNFL (p < 0.001), IPL (p = 0.042), INL (p = 0.001), and OPL (p = 0.001) in the peripheral ring. The logMAR best corrected visual acuities were 2.51 ± 0.68 and 2.69 ± 0.62 at baseline and 0.60 ± 0.38 and 0.50 ± 0.38 at month 12 in the silicone oil tamponade (n = 28) and the gas tamponade (n = 30) group (p = 0.52 and p = 0.21, respectively). The foveal GCL, OPL, and ONL and the perifoveal GCL and IPL were statistically significantly thinner in the silicone oil tamponade group (p = 0.01, p = 0.046, p = 0.024, p = 0.006, and p = 0.011, respectively). CONCLUSIONS: Significant changes were observed in the retinal layers after VRS for RRD. Individual retinal layers seem to be affected 1 year after VRS for RRD. The type of tamponade can influence the thickness of the retinal layers. The thickness of the retinal layers was significantly preserved in eyes treated with gas tamponade when compared to those treated with silicone oil tamponade in the long term. Further studies are needed to validate our results.

Hemopneumothorax After Trigger Point Injection for Fibromyalgia.

CONTEXT: Trigger point injections (TPIs) and acupuncture are common procedures in management of chronic back pain and usually are considered safe. Needling into cervical and thoracic regions can be associated with life-threatening complications. OBJECTIVE: The team intended to make practitioners aware of the potential for hemopneumothorax after TPI. DESIGN: The research team describes a case of hemopneumothorax after TPI. SETTING: The case study took place in the Department of Emergency Medicine at the Ankara University School of Medicine (Ankara, Turkey). PARTICIPANT: The participant was a 45-y-old woman, who had been admitted to the emergency department at the School of Medicine with dyspnea and dizziness after TPI for fibromyalgia. RESULTS: Computerized tomography of the thorax showed a significant hemopneumothorax at the right hemithorax and a collapsed right lung, markedly in the right, lower lobe. The hemopneumothorax was successfully treated with chest-tube and video-assisted thoracoscopic surgery. CONCLUSIONS: Health care professionals need to be aware of hemopneumothorax when performing TPI on the chest wall.

Contribution of Coiled-Coil Assembly to Ca2+/Calmodulin-Dependent Inactivation of TRPC6 Channel and its Impacts on FSGS-Associated Phenotypes.

BACKGROUND: TRPC6 is a nonselective cation channel, and mutations of this gene are associated with FSGS. These mutations are associated with TRPC6 current amplitude amplification and/or delay of the channel inactivation (gain-of-function phenotype). However, the mechanism of the gain-of-function in TRPC6 activity has not yet been clearly solved. METHODS: We performed electrophysiologic, biochemical, and biophysical experiments to elucidate the molecular mechanism underlying calmodulin (CaM)-mediated Ca2+-dependent inactivation (CDI) of TRPC6. To address the pathophysiologic contribution of CDI, we assessed the actin filament organization in cultured mouse podocytes. RESULTS: Both lobes of CaM helped induce CDI. Moreover, CaM binding to the TRPC6 CaM-binding domain (CBD) was Ca2+-dependent and exhibited a 1:2 (CaM/CBD) stoichiometry. The TRPC6 coiled-coil assembly, which brought two CBDs into adequate proximity, was essential for CDI. Deletion of the coiled-coil slowed CDI of TRPC6, indicating that the coiled-coil assembly configures both lobes of CaM binding on two CBDs to induce normal CDI. The FSGS-associated TRPC6 mutations within the coiled-coil severely delayed CDI and often increased TRPC6 current amplitudes. In cultured mouse podocytes, FSGS-associated channels and CaM mutations led to sustained Ca2+ elevations and a disorganized cytoskeleton. CONCLUSIONS: The gain-of-function mechanism found in FSGS-causing mutations in TRPC6 can be explained by impairments of the CDI, caused by disruptions of TRPC's coiled-coil assembly which is essential for CaM binding. The resulting excess Ca2+ may contribute to structural damage in the podocytes.

Comparison of navigated laser and conventional single-spot laser system for induced pain during panretinal photocoagulation.

To compare the panretinal photocoagulation (PRP)-induced pain response between novel navigated laser (Navilas) and conventional single-spot laser. The eyes were randomly assigned to Navilas or conventional laser. Contralateral eyes underwent PRP with the other system with 30 min resting interval. Pulse duration was 100 ms in conventional laser and 30 ms or 100 ms in Navilas and power setting was enough to create gray-white light burn on both devices. Pain response was evaluated by verbal scale (VS) (0-4) and visual analog scale (VAS) (0-10) after each PRP application. The mean age of 70 patients (140 eyes) was 62.52 ± 9.49 years. Mean power and spot numbers for Navilas and conventional laser were 291.9 ± 85.3 mW vs 368.4 ± 72.0 mW, and 375.4 ± 108.4 vs 374.2 ± 105.0 (p < 0.001 and p = 0.53, respectively). Pain scores for Navilas and conventional laser were 1.19 ± 0.73 and 1.99 ± 0.84 for VS and 2.41 ± 1.65 and 4.74 ± 2.17 for VAS (p < 0.001 and p < 0.001). More comfortable PRP is achieved with Navilas system in comparison with conventional single-spot laser system. However, small number of patients treated with same pulse duration and different contact lenses used for two systems should be taken into consideration. Besides, we did not report comparative clinical efficiency of either laser system.

Applied anatomy for tibial intraosseous access in adults: A Radioanatomical Study.

Intraosseous access is a method for providing vascular access in resuscitation of critically ill and injured patients when traditional intravenous access is difficult or impossible. There is a lack of detailed description for the landmark for the insertion point in the literature. The aim of this study was to determine the exact location for intraosseous access. Radiographic computed tomography (CT) images of a total of 50 dry tibia bones were obtained. With 5-mm intervals, for all transverse images and by selecting transverse section, measurements were taken from the thickness of the cortex at anterior margin and mid-line medial surface, distance from anterior margin, and mid-line medial surface of the tibia to the posterior wall of medullar cavity, distance from anterior margin and mid-line medial surface of the tibia to the posterior surface of the tibia. The thinner part of the cortex of the tibia and the larger width of the medullar cavity is at 0.5 cm below the tibial tuberosity in the midline of the medial surface. The application region for proximal tibia access and landmark and most suitable insertion point for intraosseous infusion should be at level 0.5 cm below the tibial tuberosity in the midline of the medial surface. It was recommended that standard length for intraosseous canule should be 17 mm except for the thickness of skin. In conclusion, presented study provides certain localization for intraosseous access and standard length for intraosseous canule and this will be more effective in using this technique. Clin. Anat. 31:593-597, 2018. © 2017 Wiley Periodicals, Inc.

Functional and Structural Divergence in Human TRPV1 Channel Subunits by Oxidative Cysteine Modification.

Transient receptor potential vanilloid 1 (TRPV1) channel is a tetrameric protein that acts as a sensor for noxious stimuli such as heat and for diverse inflammatory mediators such as oxidative stress to mediate nociception in a subset of sensory neurons. In TRPV1 oxidation sensing, cysteine (Cys) oxidation has been considered as the principle mechanism; however, its biochemical basis remains elusive. Here, we characterize the oxidative status of Cys residues in differential redox environments and propose a model of TRPV1 activation by oxidation. Through employing a combination of non-reducing SDS-PAGE, electrophysiology, and mass spectrometry we have identified the formation of subunit dimers carrying a stable intersubunit disulfide bond between Cys-258 and Cys-742 of human TRPV1 (hTRPV1). C258S and C742S hTRPV1 mutants have a decreased protein half-life, reflecting the role of the intersubunit disulfide bond in supporting channel stability. Interestingly, the C258S hTRPV1 mutant shows an abolished response to oxidants. Mass spectrometric analysis of Cys residues of hTRPV1 treated with hydrogen peroxide shows that Cys-258 is highly sensitive to oxidation. Our results suggest that Cys-258 residues are heterogeneously modified in the hTRPV1 tetrameric complex and comprise Cys-258 with free thiol for oxidation sensing and Cys-258, which is involved in the disulfide bond for assisting subunit dimerization. Thus, the hTRPV1 channel has a heterogeneous subunit composition in terms of both redox status and function.

The efficiency of bedside ultrasonography in patients with wrist injury and comparison with other radiological imaging methods: A prospective study.

STUDY OBJECTIVE: Our aim was to determine the efficiency of ultrasound (US) scanning in patients with wrist trauma admitted to the emergency department and to compare US diagnostic usage with other radiological imaging methods. METHODS: Patients who presented to the emergency department with wrist injury and who met the inclusion criteria and exclusion criteria were eligible. For all patients, US evaluation of the whole wrist was performed by an emergency physician before other radiological imaging methods (radiographies, computed tomography (CT) and magnetic resonance (MR) imaging). All of the patients included in the study underwent US, radiography, CT, and MR. RESULTS: During the study, 122 patients were admitted with a wrist injury. After filtering for the exclusion criteria, 80 patients were included in the study. The sensitivity of US scanning in detecting fractures was 95.31% (95% confidence interval [CI]: 87.1-98.39), the specificity was 93.75% (95% CI: 71.67-98.89), and the positive predictive value was 98.39% (95% CI: 91.72-99.85), and the negative predictive value was 83.33% (95% CI: 72.98-90.41). The sensitivity of US scanning in detecting tendon and ligamentous structural injury was 66.67% (95% CI: 41.71-84.82), the specificity was 100% (95% CI: 94.42-100), the positive predictive value was 100% (95% CI: 94.29-99.89), and the negative predictive was 92.86% (95% CI: 84.25-97.14). CONCLUSION: US scanning is an effective method that can be applied in the emergency department to adult patients to diagnose distal forearm and carpal bones fractures. In soft tissue injuries, US and MR examinations produce similar results.

Redox-sensitive transient receptor potential channels in oxygen sensing and adaptation.

Regulation of ion channels is central to the mechanisms that underlie immediate acute physiological responses to changes in the availability of molecular oxygen (O2). A group of cation-permeable channels that are formed by transient receptor potential (TRP) proteins have been characterized as exquisite sensors of redox reactive species and as efficient actuators of electric/ionic signals in vivo. In this review, we first discuss how redox-sensitive TRP channels such as TRPA1 have recently emerged as sensors of the relatively inert oxidant O2. With regard to the physiological significance of O2 sensor TRP channels, vagal TRPA1 channels are mainly discussed with respect to their role in respiratory regulation in comparison with canonical pathways in glomus cells of the carotid body, which is a well-established O2-sensing organ. TRPM7 channels are discussed regarding hypoxia-sensing function in ischemic cell death. Also, ubiquitous expression of TRPA1 and TRPM7 together with their physiological relevance in the body is examined. Finally, based upon these studies on TRP channels, we propose a hypothesis of "O2 remodeling." The hypothesis is that cells detect deviation of O2 availability from appropriate levels via sensors and adjust local O2 environments in vivo by controlling supply and consumption of O2 via pathways comprising cellular signals and transcription factors downstream of sensors, which consequently optimize physiological functions. This new insight into O2 adaptation through ion channels, particularly TRPs, may foster a paradigm shift in our understanding in the biological significance of O2.

Independent factors for prediction of poor outcomes in patients with febrile neutropenia.

BACKGROUND: Febrile neutropenia (FN) is a life-threatening condition that requires urgent management in the emergency department (ED). Recent progress in the treatment of neutropenic fever has underscored the importance of risk stratification. In this study, we aimed to determine independent factors for prediction of poor outcomes in patients with FN. MATERIAL AND METHODS: We retrospectively evaluated 200 chemotherapy-induced febrile neutropenic patients who visited the ED. Upon arrival at the ED, clinical data, including sex, age, vital signs, underlying systemic diseases, laboratory test results, estimated GFR, blood cultures, CRP, radiologic examinations, and Multinational Association of Supportive Care in Cancer (MASCC) score of all febrile neutropenic patients were obtained. Outcomes were categorized as "poor" if serious complications during hospitalization, including death, occurred. RESULTS: The platelet count <50 000 cells/mm3 (OR 3.90, 95% CI 1.62-9.43), pulmonary infiltration (OR 3.45, 95% CI 1.48-8.07), hypoproteinemia <6 g/dl (OR 3.30, 95% CI 1.27-8.56), respiratory rate >24/min (OR 8.75, 95% CI 2.18-35.13), and MASCC score <21 (OR 9.20, 95% CI 3.98-21.26) were determined as independent risk factors for the prediction of death. The platelet count <50 000 cells/mm3 (OR 3.93, 95% CI 1.42-10.92), serum CRP >50 mg/dl (OR 3.80, 95% CI 1.68-8.61), hypoproteinemia (OR 7.81, 95% CI 3.43-17.78), eGFR ≤90 ML/min/1.73 m2 (OR 3.06, 95% CI 1.13-8.26), and MASCC score <21 (OR 3.45, 95% CI 1.53-7.79) were determined as independent risk factors for the prediction of poor clinical outcomes of FN patients. Platelet count, protein level, respiratory rate, pulmonary infiltration, CRP, MASCC score, and eGFR were shown to have a significant association with outcome. CONCLUSIONS: The results of our study may help emergency medicine physicians to prevent serious complications with proper use of simple independent risk factors besides MASCC score.

Ionising radiation awareness among resident doctors, interns, and radiographers in a university hospital emergency department.

PURPOSE: In emergency medicine practice, radiological investigations relying on ionising radiation are increasingly used to diagnose a wide range of diseases and injuries. The aim of this study was to investigate the knowledge of radiation exposure doses and risks among interns, resident doctors, and radiographers. MATERIALS AND METHODS: A questionnaire, consisting of 14 questions in multiple choice format, was distributed to 300 participants (100 interns, 100 radiographers, 100 resident doctors) working in the emergency department. The participants were asked to estimate the radiation dose that patients received during the different radiological procedures. The questionnaire was designed to determine the participants' knowledge about radiation-related hazards. RESULTS: None of the radiation doses delivered by the imaging modalities was 100% correctly estimated. A total of 41.4% of all participants and 46.3% of resident doctors underestimated the radiation doses. The frequency of answers underestimating doses was found to be significantly higher (p < 0.001). Resident doctors, with a 39.4% correct answer rate, were found to be significantly less knowledgeable when compared with the interns and radiographers (p = 0.003). Emergency resident doctors had a statistically significantly higher rate of correct answers for the lowest and highest radiation sources for a foetus when compared with other groups (p = 0.001, p = 0.008). CONCLUSION: Our study showed that the resident doctors', interns', and radiographers' knowledge of radiation exposure from radiological investigations and the associated risks was poor. This result could imply that we are not aware of the radiation risks, and we are inattentive in informing our patients about the radiation exposure related to the different imaging modalities.

The accuracy of ultrasound evaluation in foot and ankle trauma.

OBJECTIVES: Foot and ankle injuries that result in sprains or fractures are commonly encountered at the emergency department. The purpose of the present study is to find out the accuracy of ultrasound (US) scanning in injuries in the aforementioned areas. METHODS: Ottawa Ankle Rules-positive patients older than 16 years who presented to the emergency department with foot or ankle injuries were eligible. For all patients, US evaluation of the whole foot and ankle was performed by an emergency physician before radiographic imaging. All radiographic images were evaluated by an orthopedic specialist and compared with the interpretations of the US. RESULTS: One hundred thirty-one patients were included in the study. Radiographic evaluation enabled the determination of fractures in 20 patients, and all of these were identified with US imaging. Moreover, US evaluation radiographically detected a silent ankle fracture in 1 patient. The sensitivity of US scanning in detecting fractures was 100% (95% confidence interval [CI], 83.8-100), the specificity was 99.1% (95% CI, 95-99.8), the positive predictive value was 95.2% (95% CI, 89.6-98), and the negative predictive value was 100% (95% CI, 96.4-100), respectively. The most common fractures were detected at the lateral malleolus and at the basis of the fifth metatarsal. CONCLUSIONS: Ultrasound imaging permits the evaluation of foot and ankle fractures. Because it is a highly sensitive technique, US can be performed in the emergency department with confidence.

ResMIBCU-Net: an encoder-decoder network with residual blocks, modified inverted residual block, and bi-directional ConvLSTM for impacted tooth segmentation in panoramic X-ray images.

OBJECTIVE: Impacted tooth is a common problem that can occur at any age, causing tooth decay, root resorption, and pain in the later stages. In recent years, major advances have been made in medical imaging segmentation using deep convolutional neural network-based networks. In this study, we report on the development of an artificial intelligence system for the automatic identification of impacted tooth from panoramic dental X-ray images. METHODS: Among existing networks, in medical imaging segmentation, U-Net architectures are widely implemented. In this article, for dental X-ray image segmentation, blocks and convolutional block structures using inverted residual blocks are upgraded by taking advantage of U-Net's network capacity-intensive connections. At the same time, we propose a method for jumping connections in which bi-directional convolution long short-term memory is used instead of a simple connection. Assessment of the proposed artificial intelligence model performance was evaluated with accuracy, F1-score, intersection over union, and recall. RESULTS: In the proposed method, experimental results are obtained with 99.82% accuracy, 91.59% F1-score, 84.48% intersection over union, and 90.71% recall. CONCLUSION: Our findings show that our artificial intelligence system could help with future diagnostic support in clinical practice.