STMS markers related to Ascochyta blight resistance in chickpea

Chickpea (Cicer arietinum L.) is one of the important legume crops and is cultivated in large-scale throughout Türkiye as well as the world. Ascochyta blight, caused by the fungal phytopathogen Ascochyta rabiei, is the leading reason for the highest yield losses among the diseases known for chickpea. The pathogen exhibits high genetic diversity in Türkiye. Therefore, resistancy using Sequence Tagged Microsatellite Site (STMS) markers related with the genes that provide resistant against Ascochyta blight was investigated for the 205 chickpea breeding lines grown in different parts of Türkiye. The analysis for Ascochyta blight resistance was performed using Ta2, Ta146 and Ts54. It was demonstrated that Ta2, Ts54 and Ta146 were the STMS markers having distinguishable features for the detection of Ascochyta blight resistance and were shown to be used in credible fashion for the selection of resistant chickpea breeding lines

Impact of opioid-free analgesia on pain severity and patient satisfaction after discharge from surgery: multispecialty, prospective cohort study in 25 countries

Background: Balancing opioid stewardship and the need for adequate analgesia following discharge after surgery is challenging. This study aimed to compare the outcomes for patients discharged with opioid versus opioid-free analgesia after common surgical procedures.Methods: This international, multicentre, prospective cohort study collected data from patients undergoing common acute and elective general surgical, urological, gynaecological, and orthopaedic procedures. The primary outcomes were patient-reported time in severe pain measured on a numerical analogue scale from 0 to 100% and patient-reported satisfaction with pain relief during the first week following discharge. Data were collected by in-hospital chart review and patient telephone interview 1 week after discharge.Results: The study recruited 4273 patients from 144 centres in 25 countries; 1311 patients (30.7%) were prescribed opioid analgesia at discharge. Patients reported being in severe pain for 10 (i.q.r. 1-30)% of the first week after discharge and rated satisfaction with analgesia as 90 (i.q.r. 80-100) of 100. After adjustment for confounders, opioid analgesia on discharge was independently associated with increased pain severity (risk ratio 1.52, 95% c.i. 1.31 to 1.76; P < 0.001) and re-presentation to healthcare providers owing to side-effects of medication (OR 2.38, 95% c.i. 1.36 to 4.17; P = 0.004), but not with satisfaction with analgesia (beta coefficient 0.92, 95% c.i. -1.52 to 3.36; P = 0.468) compared with opioid-free analgesia. Although opioid prescribing varied greatly between high-income and low- and middle-income countries, patient-reported outcomes did not.Conclusion: Opioid analgesia prescription on surgical discharge is associated with a higher risk of re-presentation owing to side-effects of medication and increased patient-reported pain, but not with changes in patient-reported satisfaction. Opioid-free discharge analgesia should be adopted routinely

Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

Abstract Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries

Surgical management of mandibular and maxillary central giant cell granuloma

Abstract Background Central giant cell granuloma is a benign intraosseous lesion of bone. It frequently affects the head and neck region, particularly the maxillary and mandibular bones. Despite the availability of various nonsurgical treatment options, surgery is still the most effective treatment option for granulomas that do not respond to medical treatment, cause significant bone deformities, or result in extensive bleeding. In this article, we aimed to show the importance of surgery in certain patients by sharing our experience with five patients who were operated on in our clinic. Case presentation In this case series, five patients who attended our clinic with central giant cell granuloma disease and underwent surgical treatments were retrospectively evaluated utilizing the hospital database records. Demographic and medical information, symptoms at admission, the results of CT and MRI imaging, pathologic results, previous treatments, and the surgical therapy performed at our clinic were all considered. Surgical procedures were performed in five patients; marginal mandibulectomy in two, segmental mandibulectomy in one, and partial maxillectomy in the other two. The granulation tissues in the cavity were removed using curettage and a diamond burr. Primary suture, secondary healing, palatal obturator repair, and free fibula flap reconstruction techniques were performed. Conclusions The objective of surgical therapy for central giant cell granuloma is to remove the mass with appropriate surgery and repair it properly with the least amount of morbidity and risk of recurrence possible

Laparoscopic gastrostomy under awake thoracic epidural anesthesia: A successful experience

General anesthesia is the first choice as an anesthesia method particularly for abdominal operations. However, because neuromuscular blockade induced during general anesthesia will increase atelectasis in a patient with pulmonary disease, it will also increase postoperative ventilator dependence, which will be even more apparent in cases of chronic obstructive pulmonary disease (COPD) that pose a risk, particularly for postoperative complications. Herein, thoracic epidural anesthesia (TEA) was found to be a better option for our patient with severe COPD and stage IV lung cancer, as it provided sufficient anesthesia and better postoperative care for laparoscopic gastrostomy

Kritik Tesisleri İzleme Için Kablosuz Algılayıcı A? Tabanlı Bir Sistem Tasarımı ve Gerçeklenmesi

24th Signal Processing and Communication Application Conference (SIU) (2016 : Zonguldak, TURKEY)Critical Infrastructure Security had always been an issue. With the technological advancements, there has been a continuous inflow of novel methods for critical infrastructure security. In this paper, design, implementation, and field tests of a novel critical infrastructure security system based on wireless sensor networks is presented

DLWTS: Distributed Light Weight Time Synchronization for Wireless Sensor Networks

International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) (2015 : Bali, INDONESIA)Time synchronization is a vitally important service for all distributed systems. Wireless Sensor Networks (WSNs), which, generally, are designed to operate with stringent set of constraints, require time synchronization services especially for accomplishing the functionality expected from them. In literature there are various time synchronization protocols designed specifically for WSNs. Some of these protocols are also evaluated through direct experimentation. In this study, we propose a novel time synchronization protocol (DLWTS: Distributed Light Weight Time Synchronization for Wireless Sensor Networks), which is light-weight, reliable, accurate, and designed to operate in a distributed fashion. We conducted extensive experimental analysis to quantify the performance of the DLWTS protocol

Visual and LIDAR Data Processing and Fusion as an Element of Real Time Big Data Analysis for Rail Vehicle Driver Support Systems

This chapter reviews the challenges, processing and analysis techniques about visual and LIDAR generated information and their potential use in big data analysis for monitoring the railway at onboard driver support systems. It surveys both sensors' advantages, limitations, and innovative approaches for overcoming the challenges they face. Special focus is given to monocular vision due to its dominant use in the field. A novel contribution is provided for rail extraction by utilizing a new hybrid approach. The results of this approach are used to demonstrate the shortcomings of similar strategies. To overcome these disadvantages, dynamic modeling of the tracks is considered. This stage is designed by statistically quantifying the assumptions about the track curvatures presumed in current railway extraction techniques. By fitting polynomials to hundreds of manually delineated video frames, the variations of polynomial coefficients are analyzed. Future trends for processing and analysis of additional sensors are also discussed

Can neutrophil-lymphocyte ratio be a predictor of cerebral vasospasm in patients with subarachnoid hemorrhage?

This study aimed to investigate the relationship between neutrophil-lymphocyte ratio (NLR) and development of vasospasm in patients with aneurysmal subarachnoid hemorrhage (SAH). Materials and Methods The study was performed by retrospectively analyzing the data of 170 aneurysmal SAH patients who admitted to the intensive care unit of our hospital between 2011 and 2017. We investigated the ability of NLR values calculated from the blood samples taken at the time of admission to predict for vasospasm. Results Thirty-five percent of the patients developed vasospasm. NLR values were associated with the development of vasospasm (OR 1.15; 95% confidence interval, 1.09-1.22; p [Med-Science 2018; 7(4.000): 766-8