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Design of an Adaptive Wireless Communication Method for Intelligent Transportation Systems|Akilli Ulasim Sistemleri i in Uyarlanabilir bir Kablosuz Iletisim Y ntemi Tasarimi
33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 -- -- Istanbul; Isik University Sile Campus -- 211450In this study, an adaptive modulation method capable of dynamically adapting to environmental conditions is proposed for use in Intelligent Transportation Systems (ITS). An artificial intelligence-based system has been designed to select the most appropriate modulation level by considering parameters such as signal-to-noise ratio (SNR), traffic density, distance, Doppler shift, and packet error rate (PER). Developed using a Reinforcement Learning algorithm, the proposed system adapts to varying conditions more effectively compared to the traditional fixed-threshold DSRC ( Dedicated Short Range Communication) structure. MATLAB simulations demonstrate that the proposed approach provides significant improvements in terms of bit error rate (BER), PER, and data transmission efficiency compared to fixed modulation schemes. Accordingly, the aim is to enhance the competitiveness of DSRC against C-V2X (cellular vehicle-to everything). © 2025 Elsevier B.V., All rights reserved.Isik Universit
Measurement of the inclusive cross sections for W and Z boson production in proton-proton collisions at ?s=5.02 and 13 TeV
Measurements of fiducial and total inclusive cross sections for W and Z boson production are presented in proton-proton collisions at root s = 5.02 and 13TeV. Electron and muon decay modes (l = e or mu) are studied in the data collected with the CMS detector in 2017, in dedicated runs with reduced instantaneous luminosity. The data sets correspond to integrated luminosities of 298 +/- 6 pb(-1) at 5.02TeV and 206 +/- 5 pb(-1) at 13TeV. Measured values of the products of the total inclusive cross sections and the branching fractions at 5.02TeV are sigma(pp -> W+ X)B(W -> l nu) = 7300 +/- 10 (stat) +/- 60 (syst) +/- 140 (lumi) pb, and sigma(pp -> Z+ X)B(Z -> l(+) l(-)) = 669 +/- 2 (stat)+/- 6 (syst)+/- 13 (lumi) pb for the dilepton invariant mass in the range of 60-120 GeV. The corresponding results at 13TeV are 20480 +/- 10 (stat)+/- 170 (syst)+/- 470 (lumi) pb and 1952 +/- 4 (stat)+/- 18 (syst)+/- 45 (lumi) pb. The measured values agree with cross section calculations at next-to-next-to-leading-order in perturbative quantum chromodynamics. Fiducial and total inclusive cross sections, ratios of cross sections of W+ and W- production as well as inclusive W and Z boson production, and ratios of these measurements at 5.02 and 13TeV are reported.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; 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 & 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 & 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.). 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.)
Examination of school refusal in children with normal hearing and hearing loss
ObjectivesSchool refusal is a situation in which school-age children experience school attendance problems due to various emotional problems. This study aims to investigate the risk of school refusal in middle/high school students with and without hearing loss according to different sociodemographic variables.MethodsThe study was carried out by applying the School Refusal Assessment Scale to 90 hearing-loss and 90 normal-hearing children aged 10-18.ResultsIn the analysis of school refusal scale scores, a highly significant difference was found between children with hearing and hearing loss. The risk of school refusal was found to be lower for students who received auditory rehabilitation, individual and group education, received education for 4 years or more, and used bilateral cochlear implants.ConclusionThe results suggested that the problems experienced by children with hearing loss in language and speech skills as well as academic skills are a factor in the risk of school refusal. It is thought that it is necessary to evaluate school-age children with hearing loss in terms of school refusal and to develop strategies for intervention. To our knowledge, this is the first study to examine school refusal in children with hearing loss
Using as Screw of PEEK in Femur Neck Fractures as an Alternative Biomaterial
Titanium screws used in femoral neck fracture fixation may lead to issues such as stress shielding and localized stress concentration. This study investigates the feasibility of using polyether-ether-ketone (PEEK) screws arranged in a triangular configuration as a potential alternative. Mechanical performance, biocompatibility, and load-bearing capacity are significant for these applications. Finite element analysis (FEA) revealed that PEEK screws exhibited a lower insertional stress of 92.26 MPa but experienced higher fracture line stress (79.96 MPa), gap (0.50 mm), and penetration (0.0074 mm), indicating increased micromotion. The calculated safety factor was 1.0297, which is adequate for average patients but may not ensure safety under high-load conditions. Compared to titanium, PEEK offered improved stress distribution and fatigue resistance but also demonstrated mechanical limitations. Overall, PEEK screws show promise as a bioinert and radiolucent alternative in orthopaedic applications, yet further optimization is needed for broader clinical adoption in high-demand scenarios
Search for resonant and nonresonant production of pairs of dijet resonances in proton-proton collisions at ?s = 13 TeV (vol 2023, 161, 2023)
[Abstract Not Available
ANALYSIS OF SURFACE ROUGHNESS AND MACHINING PERFORMANCE OF AZ91 MAGNESIUM ALLOY CUT BY WEDM
AZ91 magnesium alloys have poor machinability when conventional chip removal processes are used due to their low thermal stability and high susceptibility to softening and oxidation at elevated temperatures, which lead to excessive tool wear, poor surface quality, and deformation-induced machining challenges. This study investigated the impact of wire electrical discharge machining (WEDM) parameters on material removal rate (MRR) and surface roughness (SR) using magnesium. For this purpose, an analysis of variance (ANOVA) and Grey Relational Analysis (GRA) were performed to find the optimal settings. Findings indicate that pulse-on time (Ton) significantly affects both MRR and SR: higher Tonincreases MRR but worsens SR, while shorter Tonimproves SR but reduces MRR. Pulse-off time (Toff) and wire feed rate (WF) have secondary effects. Longer Toff improves surface quality but slightly reduces MRR, and lower WF improves cutting efficiency and MRR. The optimal settings identified by the Taguchi method were observed to be 123 ps Ton, 55 ps Toff, and 6 m min-1 WF for high MRR; and 123 ps Ton, 58 ps Toff, and 4 m min-1 WF for reduced SR. In summary, understanding how WEDM parameters affect MRR and SR allows manufacturers to achieve efficient material removal and desired surface quality
Search for Fractionally Charged Particles in Proton-Proton Collisions at ?s=13 TeV
A search is presented for fractionally charged particles with charges below 1e, using their small energy loss in the tracking detector as a key variable to observe a signal. The analyzed dataset corresponds to an integrated luminosity of 138 fb(-1) of proton-proton collisions collected at root s = 13 TeV in 2016-2018 at the CERN LHC. This is the first search at the LHC for new particles with a charge between e/3 and 0.9e, including an extension of previous results at a charge of 2e/3. Masses up to 640 GeV and charges as low as e/3 are excluded at 95% confidence level. These are the most stringent limits to date for the considered Drell-Yan-like production mode.FWF; FNRS; FWO (Belgium); CNPq; CAPES; FAPERJ; FAPERGS; FAPESP (Brazil); BNSF (Bulgaria); MoST; NSFC (China); CSF (Croatia); RIF (Cyprus); SENESCYT (Ecuador); ERC PRG [TK202]; Academy of Finland; MEC; CEA; CNRS/IN2P3 (France); SRNSF; BMBF; HGF (Germany); NKFIH (Hungary); DAE; DST; 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; NSFWe 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 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); LAS (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 (USA)
Postoperative Outcomes Are Comparable Between Arthroscopic Subscapularis Repairs Performed With Either All-Suture Anchors or Hard-Body Anchors
Purpose: To compare clinical outcomes and tendon healing rates of patients undergoing arthroscopic rotator cuff repairs involving the subscapularis (SSC) tendon (isolated or combined) with all-suture anchors (ASAs) versus hard-body anchors (HBAs) and to compare SSC healing rates between these 2 anchors. Methods: A retrospective comparative study was performed on patients who underwent arthroscopic rotator cuff repair of the SSC with either ASAs or HBAs and had a minimum 2-year follow-up. Range of motion and patient-reported outcomes were collected pre- and postoperatively, including a visual analog scale for pain, American Shoulder and Elbow Surgeons score, and Subjective Shoulder Value. Postoperative strength was measured, including Constant strength and belly press test. SSC healing was evaluated on ultrasounds at the final follow-up. Results: Eighty-four patients met the study criteria. Twenty-eight underwent SSC repair with ASAs and 56 with HBAs. The mean follow-up for the ASA group and HBA group was 44 ± 22.7 months and 48.4 ± 28.3, respectively (P = .743). Baseline characteristics were comparable between groups (P > .05). Overall, patient-reported outcomes and range of motion showed significant improvements from baseline to the final follow-up in all groups (P < .001). Postoperatively, patients in the ASA group had greater improvement in forward flexion compared to the HBA group: 31° (95% confidence interval, 20°-42°) versus 14° (95% confidence interval, 5°-8°), respectively (P = .002). Postoperative Constant strength was higher in the ASA group compared to the HBA group: 17.5 ± 7.5 versus 13.5 ± 5.6, respectively (P = .04). No statistically significant difference in SSC retear rates was observed between groups: none in the ASA group and 3 (10.7%) in the HBA group (P = .27). Conclusions: Arthroscopic SSC repair leads to significant functional improvement, with both ASAs and HBAs demonstrating similar low failure rates. Level of Evidence: Level III, retrospective cohort study. © 2025 Elsevier B.V., All rights reserved.Arthre
Evaluation of personnel selection alternatives in a railway enterprise using multi-criteria decision-making methods
Günümüzde, personel gücü tüm sektörlerde büyük önem taşımaktadır. Bu nedenle küresel rekabet içerisindeki işletmeler, personellerinin sahip oldukları yetenekler ile öne çıkmaktadır. İşletmeye en uygun işgücü seçimi, şirketin rakipleri ile rekabete girebilmesinde önemli yere sahiptir. Bu nedenle kalifiyeli insan gücü, şirketin devamlılığında önemli yere sahiptir. Bu çalışmada, demiryolu taşımacılığı şirketinde istasyon yetkilisi personel seçimi problemi için Çok Kriterli Karar Verme Yöntemlerinden Entropi tabanlı Evaluation Based On Distance From Average Solution (EDAS) uygulanmıştır. Yapılan uygulamada şirkete başvurusu alınan 25 kişi, oluşturulan 8 kriterle incelenmiştir. İlk olarak kriterler Entropi uygulamasıyla ağırlıklandırılmıştır. Bir sonraki adımda EDAS uygulamasıyla adaylar arasında inceleme yapılarak ihtiyaca yönelik personel objektif olarak bulunmuştur. Literatürde en çok kullanılan yöntemlerin Entropi ve EDAS yöntemi olduğu görülmüştür. Fakat bu iki yöntemin aynı anda kullanıldığı literatür sayısı oldukça azdır. İlgili çalışma bu eksikliği gidermek ve sektörlere katkı sağlamak amacıyla yapılmıştır.Nowadays, personnel strength is of great importance in all sectors. For this reason, businesses in global competition stand out with the talents of their staff. Choosing the most suitable workforce for the business has an important place in the company's ability to compete with its competitors. Therefore, qualified manpower has an important place in the continuity of the company. In this study, Entropy-based Evaluation Based on Distance from Average Solution (EDAS), one of the Multi-Criteria Decision Making Methods, was applied to the station official personnel selection problem in a railway transportation company. In the application, 25 people whose applications were received by the company were examined with 8 criteria. First, the criteria are weighted using the Entropy application. In the next step, by examining the candidates with the EDAS application, the personnel suitable for the need was objectively found. It has been observed that the most used methods in the literature are the Entropy and EDAS methods. However, the number of literature in which these two methods are used simultaneously is very low. The relevant study was carried out to eliminate this deficiency and contribute to the sectors
The Effects of Psychosocial Risk Factors and Severity of Abuse on the Development of Depressive Symptoms in Sexually Abused Turkish Youth
Depression in sexually abused youth has a complex etiology involving various mechanisms related to adverse familial psychosocial factors and the severity of childhood sexual abuse (CSA). This study aimed to identify mediating mechanisms between CSA severity, adverse familial psychosocial factors and depressive symptoms in Turkish children and adolescents who have experienced sexual abuse. The files of 340 CSA cases, aged 6-18, who applied to the forensic outpatient clinic between 2014-2020 were retrospectively evaluated. Psychiatric diagnoses were made according to Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition criteria. Depressive symptoms were evaluated through clinical examinations and Children's Depression Inventory (CDI). Sexual abuse severity was measured with the Sexual Abuse Severity Score (SASS) algorithm based on the information obtained from files. Both intrafamilial violence (IFV) (B=2.67, 95%CI [0.56-4.77]) and chaotic family environment (CFE) (B=2.57, 95%CI [0.43-4.72]) had significant effects on CDI scores under significant and full-mediating effects of verbal/physical coercion (B=1.16, 95%CI [0.17-2.81] for IFV -> CDI; B=1.44, 95%CI [0.24-3.34] for CFE -> CDI) and qualitative severity of sexual abuse (B=0.91, 95%CI [0.17-2.06] for IFV -> CDI; B=1.04, 95%CI [0.14-2.44] for CFE -> CDI). However, total SASS had no significant mediation in the relationship between adverse familial psychosocial factors and CDI scores. These findings provide evidence that both IFV and CFE appear to have significant associations with depressive symptoms, within the significant mediating roles of both verbal/physical coercion and qualitative severity of sexual abuse