24 research outputs found

    Performing DISC Personal inventory analysis in job postings using artificial intelligence methods

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    One of the application fields of DISC selfevaluation analysis was introduced to predict people's performance and orientation in their working life. Each letter in the word DISC represents an essential personal characteristic, dividing the profiles of people in business life into four essential parts. In the current study, DISC analysis is conducted on job postings to match the person with the job posting. The current study was based on the analysis of 3 different datasets with job postings in English, Turkish and Romanian prepared by using web scraping methods and then labeled in accordance with DISC criteria. Several different machine learning algorithms have been performed on the DISC analysis outputs, and they reached the best results with accuracy values of around over 96% on the English dataset, around over 95% on the Turkish dataset, and around over 96% on the Romanian dataset, for both D, I, S, C models.Aralı

    Comparison of Efficacy and Complications of Holmium Laser and Pneumatic Lithotripters Used in the Ureterorenoscopic Treatment of Proximal Ureter Stones, a Multi-Center Study of Society of Urological Surgery Aegean Study Group

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    Objective:The aim of this study is to compare the efficacy and complications of holmium laser and pneumatic lithotripsy used in the ureterorenoscopic treatment of proximal ureteral stones.Materials and Methods:Data of 638 patients, who underwent ureterorenoscopy (URS) due to proximal ureteral stones in different centers, were obtained from patient files. The patients were divided into two groups according to the type of lithotripter used: group 1; laser lithotripter (n=324; 50.8%) and group 2; pneumatic lithotripter (n=314; 49.2%). URS was considered successful upon determination stone-free status with the imaging methods after treatment. The effectiveness and the complications of holmium:yttrium-aluminum-garnet laser and pneumatic lithotripsy were compared.Results:The total success rate of URS was 82.6% and the complication rate was 8.1%. The mean age of patients was similar between the groups; however, the body mass index values, stone surface area and stone Hounsfield unit were significantly higher in group 1. Although the mean operative time, complication rate and the mean length of hospital stay were similar between the groups; the URS success and postoperative ureteral J stent use rates were significantly higher in group 1 and the push-back rate was significantly higher in group 2.Conclusion:If laser lithotripsy is available in a clinic, we believe that it is better to use it as the first option in the treatment of proximal ureter stones. However, considering that it is not easy to access laser lithotripters due to their high cost in Turkey, pneumatic lithotripters may be an effective and inexpensive alternative that can also be safely used in these cases

    Effect of the Anesthetic Method on the Outcomes of Ureteroscopy for Proximal Ureteral Stones: A Multi-center Study of the Society of Urological Surgery Aegean Study Group

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    Objective:To analyze the effect of the anesthesia method (spinal and general) on the outcome of ureteroscopy (URS) in patients treated for proximal ureteral stones.Materials and Methods:Patients, who underwent URS for proximal ureteral stones at various urology clinics in Turkiye, were included in the study. The patients were divided into two groups according to the anesthesia method performed; the procedure was performed under spinal anesthesia (SA) in group 1 and general anesthesia (GA) in group 2. Patients’ demographic, perioperative data and complication rates were compared between the two groups in a retrospective manner.Results:There were 309 and 329 patients in groups 1 and 2, respectively. The mean stone area and Hounsfield unit in GA group were higher (p0.05). The rate of success of URS, which is accepted as complete stone-free status, was higher in the SA group (p=0.041).Conclusion:URS, which is used in the treatment of proximal ureteral stones, has a high success rate, independent of the anesthesia method used. It is important to keep in mind the patient’s comorbidities prior to selecting the anesthesia method and that the stone area and the Hounsfield unit are the important factors affecting the outcomes

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

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    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

    Transforming test suites into croissants

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    Software developers often rely on regression testing to ensure that recent changes made to the source code do not introduce bugs. Flaky tests, which non-deterministically pass or fail regardless of any change to the code, can negatively impact the effectiveness of the regression testing. While state-of-the-art is advancing the techniques for test-flakiness detection and mitigation, the community is missing a systematic approach for generating high-quality benchmarks of flaky tests to compare the effectiveness of such techniques. Inspired by the power of mutation testing in evaluating the fault-detection ability of tests, this paper proposes Croissant, a framework for injecting flakiness into the test suites to assess the effectiveness of test-flakiness detection tools in finding these tests. Croissant implements 18 flakiness-inducing mutation operators. We designed these operators to allow controlling the non-determinism involved in flakiness, i.e., making many mutants deterministically pass or fail to observe flaky behavior. Our extensive empirical evaluation of Croissant on the test suites of 15 real-world projects confirms the ability of designed mutation operators to generate high-quality mutants, and their effectiveness in challenging test-flakiness detection tools in revealing flaky tests

    Predictive Value of Hormonal Evaluation Before Prostate Needle Biopsy on Prostate Cancer T Stage and Prognosis

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    Objective: In this study we evaluated the hormone data before prostate needle biopsy (PNB) in patients who underwent retropubic radical prostatectomy (RRP) due to prostate adenocarcinoma (PCa). Correlations between the patients’ RRP pathology results, recurrence-free survival (RFS), and hormone data were investigated. Materials and Methods: Patients were evaluated in two groups according to RRP pathologic T stage: T2 (group 1) and T3 (group 2). Then patients were assessed in two groups based on total testosterone (TTE) values: >300 ng/dL and <300 ng/dL. The preoperative data, hormone data, RRP pathologic data, and biochemical recurrence and RFS results were compared between these groups. Results: A total of 81 patients were evaluated. The mean follow-up time was 37.7 months. Mean recurrence free survival (RFS) among all patients was 94.2±7 months. In multivariate analysis of the preoperative data, TTE/prostate volume (p=0.015) and PNB tumor percentage (p=0.004) were significantly higher in group 2 (n=32) compared to group 1 (n=49). In the postoperative data, RRP pathology Gleason score (GS) (p=0.015) and tumor volume (p=0.02) were significantly higher in group 2. RFS was 99.2±5.8 months in group 1 and 77±12.1 months in group 2 (p=0.02). When patients were assessed according to TTE levels, of the pre- and postoperative data only RRP pathology T stage, GS, and lymph node positivity were significantly higher in the TTE <300 ng/dL group (n=30) compared to the TTE >300 ng/dL group (n=51). The biochemical recurrence rates and RFS times (87.7±13.8 months and 91.3±6.4 months, respectively) were similar between the groups (p=0.571). Conclusion: We demonstrated a correlation between locally invasive PCa and low TTE measured before PNB and low TTE density. In particular, TTE values <300 ng/dL were associated with high pathologic T stage, GS, and lymph node positivity

    Enhancing quality control in plastic injection production: deep learning-based detection and classification of defects

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    This study investigates the applicability of diverse deep learning techniques in detecting and classifying defects within plastic injection manufacturing processes. The findings derived from the models yield several feasible solutions that hold potential practical implications. Notably, the implementation of the Xception model as a classification framework presents a potential domain for enhancing quality control procedures. The developed models, trained on the prepared data sets, provide compelling evidence for the potential utilization of artificial intelligence technologies in the manufacturing industry. Consequently, this study represents a noteworthy contribution to the limited yet auspicious academic research in the field.2-s2.0-85177594080Eylü

    Significance of Pretreatment Testosterone Levels in Prostate Cancer Risk Groups

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    Objective:In this report, patients, who had testosterone (TE) level data before prostate needle biopsy and who later underwent radical prostatectomy (RP) due to prostate adenocarcinoma, were evaluated. The TE levels were analyzed in patients divided into three groups according to the D’Amico risk classification.Materials and Methods:Patients in the low-risk group constituted group 1, those in the intermediate-risk group-group 2 and subjects of the high-risk group were in group 3. Prostate specific antigen and TE levels, biopsy and RP pathological findings and biochemical recurrence rates were evaluated. Then all data were compared between the groups.Results:We evaluated 81 patients, whose data on TE level were available. Twenty eight patients were included in Group 1, 45 were in Group 2 and 8 were in Group 3. The mean follow-up time was 37.7 months. Total testosterone (GTE) levels were detected to be lower in Group 3 (p=0.033) than in patients of Group 1 and Group 2. However, pathological stage (p=0.004), Gleason score (p<0.001), tertiary Gleason pattern (p=0.032), tumor volume (p<0.001), surgical margins positivity (p=0.023), lymph node positivity (p=0.01) and biochemical recurrence (p=0.026) rates were found to be higher in Group 3.Conclusion:In conclusion, preoperative low TTE levels in patients who underwent RP were found to be associated with high-risk disease according to the D’Amico risk classification
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