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Measurements of the Higgs boson production cross section in the four-lepton final state in proton-proton collisions at ?s=13.6 TeV
No full textThe measurements of the Higgs boson (H) production cross sections performed by the CMS Collaboration in the four-lepton (4l, l = e, mu) final state at a center-of-mass energy root s = 13.6 TeV are presented. These measurements are based on data collected with the CMS detector at the CERN LHC in 2022, corresponding to an integrated luminosity of 34.7 fb(-1). Cross sections are measured in a fiducial region closely matching the experimental acceptance, both inclusively and differentially, as a function of the transverse momentum and the absolute value of the rapidity of the four-lepton system. The H -> ZZ -> 4l inclusive fiducial cross section is measured to be 2.89(-0.49)(+0.53) (stat)(-0.21)(+0.29) (syst) fb, in agreement with the standard model expectation of 3.09(-0.24)(+0.27)fb.SC (Armenia); FWF (Austria); FNRS (Belgium); FWO (Belgium); CNPq (Brazil); CAPES (Brazil); FAPERJ (Brazil); FAPERGS (Brazil); FAPESP (Brazil); BNSF (Bulgaria); MoST (China); NSFC (China); CSF (Croatia); RIF (Cyprus); SENESCYT (Ecuador); MoER (Estonia); ERDF (Estonia); Academy of Finland (Finland); MEC (Finland); CEA (France); CNRS/IN2P3 (France); BMBF (Germany); DFG (Germany); HGF (Germany); NKFIH (Hungary); DAE (India); DST (India); IPM (Iran); SFI (Ireland); INFN (Italy); NRF (Republic of Korea); MES (Latvia); MOE (Malaysia); UM (Malaysia); BUAP (Mexico); CONACYT (Mexico); UASLP-FAI (Mexico); MBIE (New Zealand); PAEC (Pakistan); FCT (Portugal); MESTD (Serbia); PCTI (Spain); MOSTR (Sri Lanka); Swiss Funding Agencies (Switzerland); NSTDA (Thailand); TUBITAK (Turkey); NASU (Ukraine); NSF (USA); Marie-Curie program (European Union); European Research Council (European Union); Horizon 2020 Grant (European Union) [675440, 724704, 752730, 758316, 765710, 824093, 884104]; COST Action (European Union) [CA16108]; Leventis Foundation; Alfred P. Sloan Foundation; Alexander von Humboldt Foundation; Belgian Federal Science Policy Office; Fonds pour la Formation a la Recherche dans l'Industrie et dans l'Agriculture (FRIA-Belgium); Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium); FWO (Belgium) under the Excellence of Science - EOS - be.h project [30820817]; Beijing Municipal Science & Technology Commission [Z191100007219010]; Ministry of Education, Youth and Sports (MEYS) of the Czech Republic; Hellenic Foundation for Research and Innovation (HFRI) (Greece) [2288]; Deutsche Forschungsgemeinschaft (DFG) [EXC 2121, 390833306, 400140256 - GRK2497]; Hungarian Academy of Sciences (Hungary); Council of Science and Industrial Research, India; Latvian Council of Science; National Science Center (Poland) [Opus 2021/41/B/ST2/01369, 2021/43/B/ST2/01552]; National Priorities Research Program by Qatar National Research Fund; MCIN/AEI, ERDF a way of making Europe; Programa Severo Ochoa del Principado de Asturias (Spain); Chulalongkorn Academic into Its 2nd Century Project Advancement Project (Thailand); National Science, Research and Innovation Fund via the Program Management Unit for Human Resources & Institutional Development, Research and Innovation (Thailand) [B05F650021]; Kavli Foundation; Nvidia Corporation; SuperMicro Corporation; Welch Foundation [C-1845]; Weston Havens Foundation (USA); BMBWF (Austria); MES (Bulgaria); CERN; CAS (China); MINCIENCIAS (Colombia); MSES (Croatia); ERC PUT (Estonia); HIP (Finland); GSRI (Greece); MSIP (Republic of Korea); LAS (Lithuania); CINVESTAV (Mexico); LNS (Mexico); SEP (Mexico); MOS (Montenegro); MES (Poland); NSC (Poland); MCIN/AEI (Spain); MST (Taipei); MHESI (Thailand); TENMAK (Turkey); STFC (United Kingdom); DOE (USA); F.R.S.-FNRS (Belgium); New National Excellence Program - UNKP (Hungary); NKFIH (Hungary) [K 124845, K 124850, K 128713, K 128786, K 129058, K 131991, K 133046, K 138136, K 143460, K 143477, 2020-2.2.1-ED-2021-00181, TKP2021-NKTA-64]; Ministry of Education and Science [2022/WK/14]; Programa Estatal de Fomento de la Investigacion Cientifica y Tecnica de Excelencia Maria de Maeztu (Spain) [MDM-2017-0765]We congratulate our colleagues in the CERN accelerator departments for the excellent performance of the LHC and thank the technical and administrative staffs at CERN and at other CMS institutes for their contributions to the success of the CMS effort. In addition, we gratefully acknowledge the computing centers and personnel of the Worldwide LHC Computing Grid and other centers for delivering so effectively the computing infrastructure essential to our analyses. Finally, we acknowledge the enduring support for the construction and operation of the LHC, the CMS detector, and the supporting computing infrastructure provided by the following funding agencies: SC (Armenia), BMBWF and FWF (Austria); FNRS and FWO (Belgium); CNPq, CAPES, FAPERJ, FAPERGS, and FAPESP (Brazil); MES and BNSF (Bulgaria); CERN; CAS, MoST, and NSFC (China); MINCIENCIAS (Colombia); MSES and CSF (Croatia); RIF (Cyprus); SENESCYT (Ecuador); ERC PRG, RVTT3 and MoER TK202 (Estonia); Academy of Finland, MEC, and HIP (Finland); CEA and CNRS/IN2P3 (France); SRNSF (Georgia); BMBF, DFG, and HGF (Germany); GSRI (Greece); NKFIH (Hungary); DAE and DST (India); IPM (Iran); SFI (Ireland); INFN (Italy); MSIP and NRF (Republic of Korea); MES (Latvia); LMTLT (Lithuania); MOE and UM (Malaysia); BUAP, CINVESTAV, CONACYT, LNS, SEP, and UASLP-FAI (Mexico); MOS (Montenegro); MBIE (New Zealand); PAEC (Pakistan); MES and NSC (Poland); FCT (Portugal); MESTD (Serbia); MCIN/AEI and PCTI (Spain); MOSTR (Sri Lanka); Swiss Funding Agencies (Switzerland); MST (Taipei); MHESI and NSTDA (Thailand); TUBITAK and TENMAK (Turkey); NASU (Ukraine); STFC (United Kingdom); DOE and NSF (U.S.A.). Individuals have received support from the Marie-Curie program and the European Research Council and Horizon 2020 Grant, contract Nos. 675440, 724704, 752730, 758316, 765710, 824093, 101115353, 101002207, and COST Action CA16108 (European Union); the Leventis Foundation; the Alfred P. Sloan Foundation; the Alexander von Humboldt Foundation; the Science Committee, project no. 22rl-037 (Armenia); the Fonds pour la Formation a la Recherche dans l'Industrie et dans l'Agriculture (FRIA-Belgium); the Beijing Municipal Science & Technology Commission, No. Z191100007219010 and Fundamental Research Funds for the Central Universities (China); the Ministry of Education, Youth and Sports (MEYS) of the Czech Republic; the Shota Rustaveli National Science Foundation, grant FR-22-985 (Georgia); the Deutsche Forschungsgemeinschaft (DFG), among others, under Germany's Excellence Strategy - EXC 2121 Quantum Universe - 390833306, and under project number 400140256 - GRK2497; the Hellenic Foundation for Research and Innovation (HFRI), Project Number 2288 (Greece); the Hungarian Academy of Sciences, the New National Excellence Program - uNKP, the NKFIH research grants K 131991, K 133046, K 138136, K 143460, K 143477, K 146913, K 146914, K 147048, 2020-2.2.1-ED-2021-00181, TKP2021-NKTA-64, and 2021-4.1.2-NEMZ_KI-2024-00036 (Hungary); the Council of Science and Industrial Research, India; ICSC - National Research Center for High Performance Computing, Big Data and Quantum Computing and FAIR - Future Artificial Intelligence Research, funded by the NextGenerationEU program (Italy); the Latvian Council of Science; the Ministry of Education and Science, project no. 2022/WK/14, and the National Science Center, contracts Opus 2021/41/B/ST2/01369 and 2021/43/B/ST2/01552 (Poland); the FundacAo para a Ciencia e a Tecnologia, grant CEECIND/01334/2018 (Portugal); the National Priorities Research Program by Qatar National Research Fund; MCIN/AEI/10.13039/501100011033, ERDF a way of making Europe, and the Programa Estatal de Fomento de la Investigacion Cientifica y Tecnica de Excelencia Maria de Maeztu, grant MDM-2017-0765 and Programa Severo Ochoa del Principado de Asturias (Spain); the Chulalongkorn Academic into Its 2nd Century Project Advancement Project, and the National Science, Research and Innovation Fund via the Program Management Unit for Human Resources & Institutional Development, Research and Innovation, grant B39G670016 (Thailand); the Kavli Foundation; the Nvidia Corporation; the SuperMicro Corporation; the Welch Foundation, contract C-1845; and the Weston Havens Foundation (U.S.A.)
Remote patient monitoring system combining hardware and artificial intelligence based software
No full textThis study details the development of a remote patient monitoring system with a primary focus on a novel, customized Deep Neural Network (DNN) for arrhythmia detection. The system integrates hardware for real-time data collection from biomedical sensors, where IoT-based sensor data is collected and encrypted in a central database for subsequent analysis. The novelty of the work lies in the proposed AI-based software component rather than the hardware assembly, which utilizes accessible components. The developed system is designed to function as a decision support system for healthcare personnel, providing necessary information and alerts through mobile and desktop interfaces. Data obtained from the patient is classified using the proposed deep learning method, and a detailed summary is presented. The customized DNN-based model demonstrated a test accuracy of 99.94%, with a recall of 99.92% and a precision of 99.57%, results which indicate a strong potential for clinical application due to very low false positive and false negative rates. Based on this high accuracy, the model's outputs have been integrated into user-friendly interfaces to assist healthcare personnel. It is therefore suggested that the patient monitoring system, featuring this high-performance classification model, has the potential to contribute to the early and more reliable detection of significant diseases such as heart abnormalities and arrhythmia
A Rare Condition: Nonhemorrhagic Infarct of Adrenal Gland in Pregnancy
No full textAdrenal infarction can be hemorrhagic or non-hemorrhagic, while the latter is much less common. Non-hemorrhagic adrenal infarction (NHAI) is a rare but potentially serious cause of acute abdominal pain in pregnancy that can lead to significant adverse outcomes for both mother and baby if not treated promptly and appropriately. Diagnosis of this condition is challenging due to the non-specific nature of clinical and laboratory findings. Ultrasound (US) has limited utility in diagnosing retroperitoneal pathology, while the use of computed tomography (CT) is restricted due to concerns about fetal radiation exposure. Diagnosis is typically based on magnetic resonance imaging (MRI) findings, with other potential etiological causes of abdominal pain being systematically ruled out. Treatment primarily consists of analgesics and anticoagulants. In this case report, we present a pregnant patient who arrived at the emergency department with an acute abdomen. Various MR images are provided, illustrating the diagnostic process. The patient was successfully treated with anticoagulants and antibiotherapy. Through this case, we aim to highlight the role of imaging in the differential diagnosis, management, and follow-up of pregnant patients presenting with acute abdominal conditions
Evaluation of intradialytic hypoxemia development in intensive care patients
No full textIntroductionHypoxemia is a significant factor contributing to increased mortality in intensive care patients and remains a prevalent issue. Although numerous conditions are well documented to lead to hypoxemia, intradialytic hypoxemia (IDH) occurring during dialysis is often overlooked. IDH is characterized by a decrease in arterial oxygen saturation below 90% or partial oxygen pressure (PaO2) below 80 mmHg, and it may compromise tissue perfusion, adversely affecting patient prognosis. This study aims to enhance awareness of IDH in critically ill patients and to propose proactive strategies for the prevention of associated complications.MethodThe single-center observational study included 93 intensive care patients. Patients' arterial and central venous blood gas values were measured before dialysis (baseline), at the third hour of dialysis (3rd hour), and one-hour post-dialysis (5th hour). The study evaluated PaO2, partial pressure of carbon dioxide (PaCO2), central venous oxygen saturation (ScvO(2)), mean arterial pressure (MAP), perfusion index (PI) and the temperature gradient between the forearm and fingertip. Statistical analyses were conducted using the SPSS 26 software.FindingsIn patients who did not survive, a significant decrease was observed in PaO2, ScvO(2), and perfusion index (PI) values at the third hour, while PaCO2 levels and the central venous-to-arterial temperature gradient increased. No significant change was detected in mean arterial pressure (MAP) values. A partial trend toward improvement in these parameters was observed following dialysis. Survival rates among these patients were low, and survival duration was found to be short.Discussion and conclusionThese changes indicate a deterioration in oxygen delivery and tissue perfusion. Therefore, close monitoring of these parameters during dialysis is of critical importance for the early identification of intradialytic hypotension (IDH) and the prevention of potential complications. Moreover, the observed low survival rates and short survival duration suggest that intradialytic pathophysiological changes may have a markedly adverse impact on patient prognosis.Clinical trial numberNot applicable
Evaluation of drug provocation tests without prior skin testing in children with suspected penicillin allergy and correlation with PEN-FAST: A single-center study
No full textPurpose To evaluate patients with suspected penicillin allergy in whom skin testing was omitted during immediate and delayed reactions before drug provocation test (DPT). Methods This retrospective study analyzed patients aged 0-18 years with suspected penicillin allergy between 2020 and 2023. Data on hypersensitivity reaction history, laboratory tests, PEN-FAST scores, and DPT records were collected. Results We evaluated 75 patients (male: 61.3%; median age at index reaction: 4 [range: 1-15] years) with suspected penicillin allergy. Nearly all reactions occurred at home (98.7%) following oral administration, with antihistamines being the most common treatment (56%). Urticaria was the most frequent manifestation in immediate reactions (30.7%), whereas maculopapular exanthema was predominant in delayed reactions (33.7%). Amoxicillin-clavulanic acid was the most frequently implicated drug (85.3%). The median PEN-FAST score was 3 (range: 0-5). Immediate reactions were significantly more common in females (p < 0.05). In total, 78 DPTs were performed, and four patients tested positive, all experiencing mild cutaneous reactions. No life-threatening reactions were observed. At the 3-month follow-up, 90.7% of patients tolerated beta-lactam antibiotics, though 4% chose to avoid them despite negative DPT results. Conclusion In our study, we successfully performed DPT without major complications by omitting skin testing in both immediate and delayed reactions. Our findings suggest that in delayed reactions, direct DPT can safely replace skin testing. Notably, we also propose that after in vitro tests, DPT may be safely used in immediate reactions without additional in vivo testing. Also, this is the first study to evaluate PEN-FAST in children with suspected penicillin allergy in our country, offering practical value for clinicians and patients.Scientific and Technological Research Council of Turkiye (TUBIdot;TAK)Open access funding provided by the Scientific and Technological Research Council of Turkiye (TUB & Idot;TAK). The authors declare that no funds, grants, or other support were received during the preparation of this manuscript
Search for dark matter produced in association with a pair of bottom quarks in proton-proton collisions at ?s=13 TeV
No full textA search for dark matter (DM) particles produced in association with bottom quarks is presented. The analysis uses proton-proton collision data at a center-of-mass energy of root s = 13 TeV, corresponding to an integrated luminosity of 138 fb(-1). The search is performed in a final state with large missing transverse momentum and a pair of jets originating from bottom quarks. No significant excess of data is observed with respect to the standard model expectation. Results are interpreted in the context of a type-II two-Higgs-doublet model with an additional light pseudoscalar (2HDM+a). An upper limit is set on the mass of the lighter pseudoscalar, probing masses up to 260 GeV at 95% confidence level. Sensitivity to the parameter space with the ratio of the vacuum expectation values of the two Higgs doublets, tan beta, greater than 15 is achieved, capitalizing on the enhancement of couplings between pseudoscalars and bottom quarks with high tan beta.FWF; FNRS; FWO (Belgium); CNPq; CAPES; FAPERJ; FAPERGS; FAPESP (Brazil); BNSF (Bulgaria); MoST; NSFC (China); CSF (Croatia); RIF (Cyprus); SENESCYT (Ecuador); ERC PRG [MoER TK202]; Academy of Finland; MEC; CEA; CNRS/IN2P3 (France); SRNSF; BMBF; DFG; HGF (Germany); NKFIH (Hungary); DAE; DST; IPM; SFI (Ireland); INFN (Italy); NRF (Republic of Korea); MES (Latvia); MOE; UM (Malaysia); BUAP; CONACYT; UASLP-FAI (Mexico); PAEC (Pakistan); (FCT Portugal); MESTD (Serbia); PCTI (Spain); MOSTR (Sri Lanka); Swiss Funding Agencies (Switzerland); NSTDA; TUBITAK; NASU (Ukraine); DOE; NSF; Marie-Curie program; European Research Council; Horizon 2020 Grant [675440, 724704, 752730, 758316, 765710, 824093, 101115353, 101002207]; COST Action [CA16108]; Leventis Foundation; Alfred P. Sloan Foundation; Alexander von Humboldt Foundation; Science Committee [22rl-037]; Belgian Federal Science Policy Office; Fonds pour la Formation a la Recherche dans l'Industrie et dans l'Agriculture (FRIA-Belgium); FWO (Belgium) under the Excellence of Science -EOS [30820817]; Beijing Municipal Science AMP; Technology Commission [Z191100007219010]; Fundamental Research Funds for the Central Universities (China); Ministry of Education, Youth and Sports (MEYS) of the Czech Republic; Shota Rustaveli National Science Foundation [FR-22-985]; Deutsche Forschungsgemeinschaft (DFG) [EXC 2121, 400140256 -GRK2497]; Hellenic Foundation for Research and Innovation (HFRI) [2288]; Hungarian Academy of Sciences [K 131991, K 133046, K 138136, K 143460, K 143477, K 146913, K 146914, K 147048, 2020-2.2.1-ED-2021-00181, TKP2021-NKTA-64]; Council of Science and Industrial Research, India; ICSC -National Research Center for High Performance Computing - NextGenerationEU program (Italy); Latvian Council of Science; Ministry of Education and Science [2022/WK/14]; National Science Center [Opus 2021/41/B/ST2/01369, 2021/43/B/ST2/01552]; Fundacao para a Ciencia e a Tecnologia [CEECIND/01334/2018]; National Priorities Research Program by Qatar National Research Fund; ERDF a way of making Europe [MDM-2017-0765]; Programa Severo Ochoa del Principado de Asturias (Spain); National Science, Research and Innovation Fund via the Program Management Unit for Human Resources AMP; Institutional Development, Research and Innovation [B39G670016]; Kavli Foundation; Nvidia Corporation; SuperMicro Corporation; Welch Foundation [C-1845]; Weston Havens Foundation (U.S.A.)We congratulate our colleagues in the CERN accelerator departments for the excellent performance of the LHC and thank the technical and administrative staffs at CERN and at other CMS institutes for their contributions to the success of the CMS effort. In addition, we gratefully acknowledge the computing centers and personnel of the Worldwide LHC Computing Grid and other centers for delivering so effectively the computing infrastructure essential to our analyses. Finally, we acknowledge the enduring support for the construction and operation of the LHC, the CMS detector, and the supporting computing infrastructure provided by the following funding agencies: SC (Armenia), BMBWF and FWF (Austria); FNRS and FWO (Belgium); CNPq, CAPES, FAPERJ, FAPERGS, and FAPESP (Brazil); MES and BNSF (Bulgaria); CERN; CAS, MoST, and NSFC (China); MINCIENCIAS (Colombia); MSES and CSF (Croatia); RIF (Cyprus); SENESCYT (Ecuador); ERC PRG, RVTT3 and MoER TK202 (Estonia); Academy of Finland, MEC, and HIP (Finland); CEA and CNRS/IN2P3 (France); SRNSF (Georgia); BMBF, DFG, and HGF (Germany); GSRI (Greece); NKFIH (Hungary); DAE and DST (India); IPM (Iran); SFI (Ireland); INFN (Italy); MSIP and NRF (Republic of Korea); MES (Latvia); LMTLT (Lithuania); MOE and UM (Malaysia); BUAP, CINVESTAV, CONACYT, LNS, SEP, and UASLP-FAI (Mexico); MOS (Montenegro); MBIE (New Zealand); PAEC (Pakistan); MES and NSC (Poland); FCT Portugal); MESTD (Serbia); MCIN/AEI and PCTI (Spain); MOSTR (Sri Lanka); Swiss Funding Agencies (Switzerland); MST (Taipei); MHESI and NSTDA (Thailand); TUBITAK and TENMAK (Turkey); NASU (Ukraine); STFC (United Kingdom); DOE and NSF (U.S.A.).r Individuals have received support from the Marie-Curie program and the European Research Council and Horizon 2020 Grant, contract Nos. 675440, 724704, 752730, 758316, 765710, 824093, 101115353, 101002207, and COST Action CA16108 (European Union); the Leventis Foundation; the Alfred P. Sloan Foundation; the Alexander von Humboldt Foundation; the Science Committee, project no. 22rl-037 (Armenia); the Belgian Federal Science Policy Office; the Fonds pour la Formation a la Recherche dans l'Industrie et dans l'Agriculture (FRIA-Belgium); the F.R.S.-FNRS and FWO (Belgium) under the Excellence of Science -EOS -be.h project n. 30820817; the Beijing Municipal Science & Technology Commission, No. Z191100007219010 and Fundamental Research Funds for the Central Universities (China); the Ministry of Education, Youth and Sports (MEYS) of the Czech Republic; the Shota Rustaveli National Science Foundation, grant FR-22-985 (Georgia); the Deutsche Forschungsgemeinschaft (DFG), among others, under Germany's Excellence Strategy -EXC 2121 Quantum Universe -390833306, and under project number 400140256 -GRK2497; the Hellenic Foundation for Research and Innovation (HFRI), Project Number 2288 (Greece); the Hungarian Academy of Sciences, the New National Excellence Program -UNKP, the NKFIH research grants K 131991, K 133046, K 138136, K 143460, K 143477, K 146913, K 146914, K 147048, 2020-2.2.1-ED-2021-00181, and TKP2021-NKTA-64 (Hungary); the Council of Science and Industrial Research, India; ICSC -National Research Center for High Performance Computing, Big Data and Quantum Computing and FAIR -Future Artificial Intelligence Research, funded by the NextGenerationEU program (Italy); the Latvian Council of Science; the Ministry of Education and Science, project no. 2022/WK/14, and the National Science Center, contracts Opus 2021/41/B/ST2/01369 and 2021/43/B/ST2/01552 (Poland); the Fundacao para a Ciencia e a Tecnologia, grant CEECIND/01334/2018 (Portugal); the National Priorities Research Program by Qatar National Research Fund; MCIN/AEI/10.13039/501100011033, ERDF a way of making Europe, and the Programa Estatal de Fomento de la Investigacion Cientifica y Tecnica de Excelencia Maria de Maeztu, grant MDM-2017-0765 and Programa Severo Ochoa del Principado de Asturias (Spain); the Chulalongkorn Academic into Its 2nd Century Project Advancement Project, and the National Science, Research and Innovation Fund via the Program Management Unit for Human Resources & Institutional Development, Research and Innovation, grant B39G670016 (Thailand); the Kavli Foundation; the Nvidia Corporation; the SuperMicro Corporation; the Welch Foundation, contract C-1845; and the Weston Havens Foundation (U.S.A.)
Boundary Value Problems for the Bitsadze Equation on a Quarter Plane
No full text5th International Conference on Mathematics and its Applications in Science and Engineering, ICMASE 2024 -- -- Coimbra -- 338599This study investigates boundary value problems for the Bitsadze equation defined on a quarter plane. The Bitsadze equation, a fundamental partial differential equation in the theory of analytic functions, often appears in complex analysis and mathematical physics. Despite extensive research on boundary value problems in various domains, the quarter plane case remains less explored. We consider specific boundary conditions that are either Dirichlet or Schwarz types on the respective edges of the quarter plane. By employing the method of integral transforms, we reduce the problem to a system of integral equations. The solvability of these equations is analyzed using analysis techniques. We further explore the uniqueness and existence of the solutions under different boundary conditions. In case of Upper half plane these problems are also studied. In case of first order partial differential equations, Gauss theorem and the Cauchy Pompeiu formulas are used to find fundamental solutions of these equations. © 2025 Elsevier B.V., All rights reserved
Report Generation from X-ray Images: An Evaluation with Transformer Architectures
No full text2025-TYL-FEBE-0006The automatic generation of medical reports from chest X-ray images has attached increasing attention due to its capability to enhance diagnostic accuracy and reduce work-load in clinical decision support. The latest advancements in medical report generation, particularly with encoder-decoder models, emphasize their ability to integrate visual information with textual reports. However, these models suffer from challenges such as generating generic statements, failing to capture detailed pathological findings, and inconsistency of reports. In this study, the effectiveness of Vision Transformer and Convolutional Vision Transformer encoders combined with GPT2-based (Generative Pre-trained Transformer) decoders are investigated for the task of chest X-ray report generation. Their ability to capture radiological findings and generate clinically meaningful reports is evaluated through comparative analyses conducted under diverse experimental configurations on IU X-RAY dataset.the Scientific Research Projects Coordination Unit of Izmir Katip Celebi Universit
Determining the Cutoff Score of the Turkish Version of the Voice Handicap Index-10
No full textIntroduction: The Voice Handicap Index (VHI), which is widely used worldwide to evaluate the self-reports of individuals with voice disorders, has been translated into many languages, and reliability and validity studies have been conducted. Although the VHI-10 is the most frequently used self-report tool for research, clinical, and screening purposes in Turkey, the cutoff score for VHI-10 in Turkish is unknown. In this context, this study aimed to determine the cutoff score of the Turkish version of the VHI-10 (TVHI-10). Methods: This study included 197 participants with voice disorders and 226 healthy individuals with normal voices. The dysphonic group had an average age of 39.13 +/- 14.7, and the healthy group had an average age of 36.58 +/- 13.9. Participants diagnosed with a voice disorder by an ear, nose, and throat specialist were included in the dysphonic group, and participants with a GRBAS score of zero after being evaluated by a speech and language therapist were included in the healthy group. All participants answered the TVHI-10 without assistance. Results: A cutoff score of 7.5 on the TVHI-10 yielded a sensitivity of 91% and a specificity of 93%, with an AUC of 0.963 (p < 0.001). Conclusion: A thorough review of the literature shows that the VHI-10 cutoff score varies according to language. Therefore, it is important to determine specific cutoff scores for each VHI-10, which have been adapted to and validated in different cultures. This study recommends that the cutoff score determined for the Turkish VHI-10 be used in clinical decision-making and research design processes. (c) 2025 S. Karger AG, Base
Analysis of Environmental Documentaries on Netflix in terms of Environmental Discourses
No full textThe purpose of this study is to analyze the environmental discourses in environment-themed documentaries available on the Netflix platform. In this article, seven documentaries were examined through discourse analysis, and the discourses present in these documentaries were identified. According to the analysis, three main discourses were found: the Ecosystem Discourse, the Arcadian Discourse and Environmental Justice Discourse. In Cowspiracy: The Sustainability Secret, it is emphasized that organizations claiming to protect nature disregard scientific data. Kiss the Ground focuses on human-induced environmental degradation and efforts to address environmental issues. Breaking Boundaries: The Science of Our Planet indicates that humanity has already exceeded the critical thresholds for sustaining life on Earth. In David Attenborough: A Life on Our Planet, attention is drawn to the fact that the planet can exist independently of humans. The Bubble: A Reef Revived underlines the perfection of the world’s micro-level systems. Brave Blue World illustrates the global water crisis and explains how its effects differ based on socio-economic statuses. Lastly, Youth v Gov focuses on the varying impacts of the global climate crisis across different regions