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Article Incidence and Predictors of Permanent Pacemaker Implantation After Transcatheter Aortic Valve Implantation With a Balloon-Expandable Biosprosthesis in Patients With Bicuspid Aortic Valves(Termedia Publishing House Ltd, 2024) Suygun, Hakan; Kasapkara, Haci Ahmet; Guney, Murat Can; Polat, Melike; Bozkurt, EnginIntroduction:
There are few data on permanent pacemaker implantation (PPMI) in patients who have undergone transcatheter aortic valve implantation (TAVI) for bicuspid aortic valve (BAV) stenosis.
Aim:
The purpose of this study was to evaluate the predictors and incidence of PPMI in bicuspid patients using a balloon-expandable (BE) TAVI device.
Material and methods:
A total of 62 patients with bicuspid morphology who had undergone successful TAVI using a BE device without previous PPMI were included (retrospectively). Their baseline clinical, electrocardiographic (ECG), echocardiographic, and multislice computed tomography (MSCT) details were collected.
Results:
The incidence of PPMI after TAVI in this BAV cohort was 12.9%. All eight patients with PPMs were found to have type 1 left-right (LR) fusion morphology. In univariate analysis, the presence of right bundle branch block (RBBB) in preprocedural ECG ( p < 0.0001), short membraneous septum (MS) evaluated in MSCT ( p < 0.0001), and increased annulus-left main coronary artery distance ( p = 0.02) were statistically significant for PPMI. Among these parameters included in the model using multivariate Firth logistic regression analysis, the presence of preprocedural RBBB ( p = 0.001) and shortness of the MS in MSCT ( p = 0.004) were independent risk factors for predicting postprocedural PPMI in patients who underwent TAVI among those with BAV.
Conclusions:
Preprocedural RBBB on ECG and shorter MS are independent risk factors for PPMI after TAVI in BAV patients and these parameters should be considered before the procedure to guide clinical decision making. Type 1 LR patients may be considered at increased risk of PPMI.Article Fluorescent and Electrochemical Detection of Nuclease Activity Associated With streptococcus Pneumoniae Using Specific Oligonucleotide Probes(Royal Soc Chemistry, 2024) Goikoetxea, Garazi; Akhtar, Khadija-Tul Kubra; Prysiazhniuk, Alona; Borsa, Baris A.; Aldag, Mehmet Ersoy; Kavruk, Murat; Hernandez, Frank J.; Nutrition and DieteticsStreptococcus pneumoniae (S. pneumoniae) represents a significant pathogenic threat, often responsible for community-acquired pneumonia with potentially life-threatening consequences if left untreated. This underscores the pressing clinical need for rapid and accurate detection of this harmful bacteria. In this study, we report the screening and discovery of a novel biomarker for S. pneumoniae detection. We used S. pneumoniae nucleases as biomarker and we have identified a specific oligonucleotide that works as substrate. This biomarker relies on a specific nuclease activity found on the bacterial membrane, forming the basis for the development of both fluorescence and electrochemical biosensors. We observed an exceptionally high sensitivity in the performance of the electrochemical biosensor, detecting as low as 10(2) CFU mL(-1), whereas the fluorescence sensor demonstrated comparatively lower efficiency, with a detection limit of 10(6) CFU mL(-1). Moreover, the specificity studies have demonstrated the biosensors' remarkable capacity to identify S. pneumoniae from other pathogenic bacteria. Significantly, both biosensors have demonstrated the ability to identify S. pneumoniae cultured from clinical samples, providing compelling evidence of the potential clinical utility of this innovative detection system.Review Review of Modern Forest Fire Detection Techniques: Innovations in Image Processing and Deep Learning(Mdpi, 2024) Ozel, Berk; Alam, Muhammad Shahab; Khan, Muhammad Umer; Mechatronics EngineeringFire detection and extinguishing systems are critical for safeguarding lives and minimizing property damage. These systems are especially vital in combating forest fires. In recent years, several forest fires have set records for their size, duration, and level of destruction. Traditional fire detection methods, such as smoke and heat sensors, have limitations, prompting the development of innovative approaches using advanced technologies. Utilizing image processing, computer vision, and deep learning algorithms, we can now detect fires with exceptional accuracy and respond promptly to mitigate their impact. In this article, we conduct a comprehensive review of articles from 2013 to 2023, exploring how these technologies are applied in fire detection and extinguishing. We delve into modern techniques enabling real-time analysis of the visual data captured by cameras or satellites, facilitating the detection of smoke, flames, and other fire-related cues. Furthermore, we explore the utilization of deep learning and machine learning in training intelligent algorithms to recognize fire patterns and features. Through a comprehensive examination of current research and development, this review aims to provide insights into the potential and future directions of fire detection and extinguishing using image processing, computer vision, and deep learning.Article Advancing Mmwave Altimetry for Unmanned Aerial Systems: a Signal Processing Framework for Optimized Waveform Design(Mdpi, 2024) Awan, Maaz Ali; Dalveren, Yaser; Kara, Ali; Derawi, Mohammad; Department of Electrical & Electronics EngineeringThis research advances millimeter-wave (mmWave) altimetry for unmanned aerial systems (UASs) by optimizing performance metrics within the constraints of inexpensive automotive radars. Leveraging the software-defined architecture, this study encompasses the intricacies of frequency modulated continuous waveform (FMCW) design for three distinct stages of UAS flight: cruise, landing approach, and touchdown within a signal processing framework. Angle of arrival (AoA) estimation, traditionally employed in terrain mapping applications, is largely unexplored for UAS radar altimeters (RAs). Time-division multiplexing multiple input-multiple output (TDM-MIMO) is an efficient method for enhancing angular resolution without compromising the size, weight, and power (SWaP) characteristics. Accordingly, this work argues the potential of AoA estimation using TDM-MIMO to augment situational awareness in challenging landing scenarios. To this end, two corner cases comprising landing a small-sized drone on a platform in the middle of a water body are included. Likewise, for the touchdown stage, an improvised rendition of zoom fast Fourier transform (ZFFT) is investigated to achieve millimeter (mm)-level range accuracy. Aptly, it is proposed that a mm-level accurate RA may be exploited as a software redundancy for the critical weight-on-wheels (WoW) system in fixed-wing commercial UASs. Each stage is simulated as a radar scenario using the specifications of automotive radar operating in the 77-81 GHz band to optimize waveform design, setting the stage for field verification. This article addresses challenges arising from radial velocity due to UAS descent rates and terrain variation through theoretical and mathematical approaches for characterization and mandatory compensation. While constant false alarm rate (CFAR) algorithms have been reported for ground detection, a comparison of their variants within the scope UAS altimetry is limited. This study appraises popular CFAR variants to achieve optimized ground detection performance. The authors advocate for dedicated minimum operational performance standards (MOPS) for UAS RAs. Lastly, this body of work identifies potential challenges, proposes solutions, and outlines future research directions.Review Spatial Effectiveness in High-Rise Timber Towers: a Global Perspective(Mdpi, 2024) Ilgin, Huseyin Emre; Aslantamer, Ozlem Nur; Interior Architecture and Environmental DesignHigh-rise timber structures signify a rising trend, thanks to their significant environmental and economic advantages that occur over their complete lifespan. Enhancing spatial effectiveness in these structures is a critical design consideration for project feasibility. Currently, there has been no comprehensive study on the space efficiency of such towers. This article analyzed 79 cases all over the world to deepen the knowledge of design features shaping spatial efficiency. The critical findings are as follows: (1) the most common architectural preferences include residential function, a centrally located service core, and prismatic arrangements; (2) the preferred structural material is composite, while a shear walled frame system is the favored structural system; (3) the average spatial efficiency and percentage of core area to GFA were recorded at 84% and 10%, ranging from the lowest values of 70% and 4% to the highest values of 95% and 21%, respectively; and (4) no significant differences were detected in the effect of core design approaches on spatial effectiveness if appropriately planned, with similar inferences drawn concerning form and the structural material used. This article will assist in developing design directions for different interested parties, including architectural designers taking part in the advancement of high-rise timber towers.Article Space Efficiency of Tall Buildings in Singapore(Mdpi, 2024) Aslantamer, Ozlem Nur; Ilgin, Hueseyin Emre; Interior Architecture and Environmental DesignSpace efficiency in Singaporean tall buildings results from a complex interplay of historical, architectural, engineering, technological, socioeconomic, and environmental factors. The city-state's innovative and adaptive approach has enabled it to overcome the challenges associated with skyscraper construction, leading to the development of some of the most advanced and sustainable high-rise structures in the world. However, there is currently a lack of detailed analysis on space utilization in Singaporean high-rise buildings. This study addresses this gap by examining 63 cases. The main findings of this research: 1. Residential functions, central core layouts, and prismatic shapes are the most frequent. 2. Concrete material with a shear-walled frame system is the preferred structural choice. 3. Average spatial efficiency is 80%, and the core-to-GFA (Gross Floor Area) ratio averages 17%. These metrics vary from a minimum of 68% and 5% to a maximum of 91% and 32%, respectively. These insights offer valuable guidance for Singaporean construction professionals, particularly architects, helping them make informed design decisions for high-rise projects.Article Optimized Porous Carbon Particles From Sucrose and Their Polyethyleneimine Modifications for Enhanced Co2 Capture(Mdpi, 2024) Ari, Betul; Inger, Erk; Sunol, Aydin K.; Sahiner, Nurettin; Airframe and Powerplant MaintenanceCarbon dioxide (CO2), one of the primary greenhouse gases, plays a key role in global warming and is one of the culprits in the climate change crisis. Therefore, the use of appropriate CO2 capture and storage technologies is of significant importance for the future of planet Earth due to atmospheric, climate, and environmental concerns. A cleaner and more sustainable approach to CO2 capture and storage using porous materials, membranes, and amine-based sorbents could offer excellent possibilities. Here, sucrose-derived porous carbon particles (PCPs) were synthesized as adsorbents for CO2 capture. Next, these PCPs were modified with branched- and linear-polyethyleneimine (B-PEI and L-PEI) as B-PEI-PCP and L-PEI-PCP, respectively. These PCPs and their PEI-modified forms were then used to prepare metal nanoparticles such as Co, Cu, and Ni in situ as M@PCP and M@L/B-PEI-PCP (M: Ni, Co, and Cu). The presence of PEI on the PCP surface enables new amine functional groups, known for high CO2 capture ability. The presence of metal nanoparticles in the structure may be used as a catalyst to convert the captured CO2 into useful products, e.g., fuels or other chemical compounds, at high temperatures. It was found that B-PEI-PCP has a larger surface area and higher CO2 capture capacity with a surface area of 32.84 m(2)/g and a CO2 capture capacity of 1.05 mmol CO2/g adsorbent compared to L-PEI-PCP. Amongst metal-nanoparticle-embedded PEI-PCPs (M@PEI-PCPs, M: Ni, Co, Cu), Ni@L-PEI-PCP was found to have higher CO2 capture capacity, 0.81 mmol CO2/g adsorbent, and a surface area of 225 m(2)/g. These data are significant as they will steer future studies for the conversion of captured CO2 into useful fuels/chemicals.Article Partner Phubbing and Sleep Quality: Serial Mediation Models With Relationship Satisfaction and Perceived Stress(Sage Publications inc, 2024) Dikdere, Busra; Turkarslan, Kutlu Kagan; Department of PsychologyThe increasing integration of technology into our lives has been affecting our daily routines and even our sleeps. Being a relatively new concept, phubbing refers to the act of overly engaging with one's phone while dismissing those around in the social settings. In this context, partner phubbing involves individuals exhibiting this neglect in the presence of their romantic partners. Evidence suggests that higher partner phubbing may lead to lower relationship satisfaction and higher perceived stress. The aim of the present cross-sectional study was to examine whether relationship satisfaction and perceived stress mediate the relationship between partner phubbing and sleep quality. Four hundred twenty-three individuals (females = 78.5%, M-age = 29.19, SD = 6.87) participated in the study and completed the measures of partner phubbing, relationship satisfaction, perceived stress, and sleep quality. The results of the serial mediation analyses showed that partner phubbing was not a direct predictor of sleep quality. However, the relationship between partner phubbing and sleep quality was mediated by the four indirect paths through relationship satisfaction (beta = 0.04, p < .05), perceived stress (beta = 0.09, p < .05), relationship satisfaction-perceived stress (beta = 0.02, p < .05), and perceived stress-relationship satisfaction (beta = 0.00, p < .05). The findings suggest that partner phubbing may diminish sleep quality by reducing relationship satisfaction and increasing perceived stress levels. Alternatively, perceived stress exacerbated by partner phubbing could reduce relationship satisfaction, which eventually worsens sleep quality. Digital detox programs, group interventions, emotion-focused couple interventions, and stress management training can help overcome the effects of partner phubbing on sleep quality.Article Reevaluation of Plate-Fin Heatsink Natural Convection Correlations for Sideways and Three-Dimensional Inclinations(Taylor & Francis inc, 2024) Mehrtash, Mehdi; Energy Systems EngineeringThe common orientations of the plate-fin heat sink for natural convection cooling of electronics are vertical and upward-facing horizontal. However, depending on various use scenarios, the heat sink may be inclined, intentionally or otherwise. In our previous papers concerning this subject, the author proposed a set of correlations for plate-fin heat sinks covering all inclination angles backward and forward (pitch rotation) from the vertical position of the heat sink. The set was based on a series of computational simulations with a validated model. At the time, tilting the heat sink sideways (roll rotation) was not considered. In the present study, though, the sideways inclination of the plate-fin heat sinks is simulated using our previous model only by adjusting the direction of the gravitational acceleration vector, thus requiring no additional validation. It is determined that the previously proposed correlation is valid up to 80 degrees sideways inclinations of the heat sink. Interesting flow structures are observed when the heat sink is tilted 90 degrees sideways. Furthermore, it is demonstrated that the correlation surprisingly remains valid if the heat sink is simultaneously rotated in both axes (pitch and roll).Article Chronic Pregabalin Treatment Reduced Anxiety, and Acute Pregabalin Treatment Increased Depression-Like Behaviors in Rats(Bmc, 2024) Caliskan, Hasan; Akat, Firat; Dursun, Ali Dogan; Zaloglu, Nezahet; Basic SciencesBackgroundPregabalin is an antiepileptic drug that binds to the alpha-2/delta unit at presynaptic voltage-dependent calcium channels. We aimed to investigate the effect of acute and chronic pregabalin administration on anxiety and depression-like behaviors.MethodsFifty-six male Wistar albino rats were divided into seven groups: control, vehicle, and five different dose groups (5, 10, 30, 60, and 100 mg/kg). Pregabalin was administered for two weeks. Depression-like behaviors were evaluated by Forced swimming test. Anxiety-like behavior (ALB) was evaluated by Open field test (OFT), Elevated Plus Maze (EPM), and light-dark box. Subjects underwent the forced swimming test (FST) after the first dose, while the open field test (OFT), elevated plus maze (EPM), and light-dark box (LDB) were performed after two weeks of treatment. Further sucrose preference test was conducted to evaluate anhedonia until the end of the experiment.ResultsIn the forced swimming test, depression-like behaviors increased after acute single-dose administration of 10, 30, 60, 100 mg/kg pregabalin. According to OFT results, chronic 100 mg/kg pregabalin showed anxiolytic effects by decreasing grooming, and freezing behaviors. In addition, 100 mg/kg chronic pregabalin administration significantly increased the time spent in the central region, the number of entries to the center, and the unsupported rearing number without causing any change in locomotor activity. According to EPM results, both chronic 60 and 100 mg/kg pregabalin treatments showed anxiolytic effects by increasing open arm time and head dipping behavior. In addition, 60 and 100 mg/kg chronic pregabalin administration significantly decreased stretch attend posture. All pregabalin administrations between 5 and 100 mg/kg displayed anxiolytic effects in the LDB. Sucrose preference was above 65% for the duration of all experiments and subjects did not show anhedonia.ConclusionAcute pregabalin treatment triggered depression-like behaviors. Anhedonia, which may be associated with depression, was not observed during chronic treatment. Moreover, chronic treatment with pregabalin revealed potent anxiolytic effects in different behavior patterns and doses for all tests of unconditional anxiety. In particular, 100 mg/kg chronic pregabalin administration decreased anxiety-like behaviors in all experiment setups. Although the anxiolytic effect was demonstrated in chronic treatment, acute treatment of pregabalin induced depression-like behaviors, and thus in clinical practice should be done with caution, especially in patients with anxiety-depression comorbidity.Article Systemic Iodine Levels Increase With Povidone-Iodine Irrigation, but Does This Affect Thyroid Functions? a Case-Control Study(Bmc, 2024) Ertan, Mehmet Batu; Basarir, Kerem; Kocaoglu, Hakan; Aydugan, Mehmet Yagiz; Guengoer, ErdalBackgroundIntraoperative irrigation with diluted povidone iodine (PI) can be used to reduce the incidence of infection-related complications in arthroplasty surgeries. Since PI is associated with many interventions, especially skin antisepsis, its systemic effects are being studied. The aim of our study is to evaluate the systemic effects of PI, which we use as an irrigation solution, by means of urine iodine and thyroid function tests.MethodsIn this case-control study, 96 patients who underwent knee or hip arthroplasty were included and divided into two groups according to the irrigation solution. In the first group, PI was added to the standard irrigation. The second group was considered as the control group and only standard irrigation was applied. Urine iodine, thyroid stimulating hormone, free T3 and free T4 values were compared in the preoperative and postoperative periods of these two groups. In this way, the effect of absorbed iodine on thyroid functions was investigated.ResultsIn the diluted PI group, urinary iodine levels were measured at maximum levels (450 mu g/L) in the early postoperative period in most of the patients. The statistically significant difference in urinary iodine levels between the PI group and the control group, which started in the early postoperative period, continued until the last follow-up on the 14th postoperative day. In terms of thyroid functions, the observed differences were not statistically significant.ConclusionStudies to reduce periprosthetic infection show that PI can be preferred for irrigation before the closure of the joint area in total joint arthroplasty. Although the success of this treatment in periprosthetic infection has been investigated, its systemic examination has not been demonstrated. It was determined that PI treatment, which was seen to decrease in the systemic circulation within 14 days, did not show a statistically significant change in terms of thyroid functions when used at the determined concentration and duration. These results should be evaluated with larger and longer-term studies.Trial registrationClinical trials ID no. NCT05599841.Editorial Editorial: Quality Assurance and Workflow Optimization for the Diagnosis and Treatment of Head and Neck Cancer(Frontiers Media Sa, 2024) Elicin, Olgun; Hosal, Sefik; Surgical Sciences[No Abstract Available]Article ON THE RATE OF CONVERGENCE FOR THE q-DURRMEYER POLYNOMIALS IN COMPLEX DOMAINS(Walter de Gruyter Gmbh, 2024) Gurel, Ovgu; Ostrovska, Sofiya; Turan, Mehmet; MathematicsThe q-Durrmeyer polynomials are one of the popular q-versions of the classical operators of approximation theory. They have been studied from different points of view by a number of researchers. The aim of this work is to estimate the rate of convergence for the sequence of the q-Durrmeyer polynomials in the case 0 < q < 1. It is proved that for any compact set D subset of C, the rate of convergence is O(q(n)) as n -> infinity. The sharpness of the obtained result is demonstrated.Article Enhancing Language Proficiency Through Mobile Extensive Listening and Podcasting: a Multifaceted Approach To Metacognition and Critical Thinking(Elsevier Sci Ltd, 2024) Sendag, Serkan; Caner, Mustafa; Gedik, Nuray; Toker, Sacip; Information Systems EngineeringMobile-assisted language learning (MALL) has gained considerable attention in foreign and second-language education. As part of a two-year project, this study employed a mixed-methods research design with 60 B2-level learners of English as a foreign language. The primary purpose of this study is to investigate the impact of repetitive listening and listening duration on participants' listening comprehension, speaking, critical thinking, listening strategies, and self-regulated learning strategies. The participants were divided into two groups, with the experimental group (n = 30) participating in the innovative Mobile Extensive Listening and Podcasting (MELAP) intervention. MELAP is a novel approach within the MALL framework that involves extensive listening to podcasts in the target language, content creation, and podcasting. The ten-week treatment revealed that unlike in previous studies, our experimental group improved not only in listening comprehension but also demonstrated significant gains in speaking skills and critical thinking. Notably, enhanced critical thinking skills were observed, correlated with an increased total listening duration and repeated extensive listening. Qualitative data analysis sheds light on how participants viewed the MELAP intervention, revealing what motivated them, what distractions they faced, and their opinions on developing and sharing podcasts. These findings emphasize the potential of the MELAP to enhance language skills and foster critical thinking in language learners, contributing to the ongoing discourse on the effectiveness of MALL.Conference Object The Audition of Final Accounts Law: a Critical Approach on The Inefficiency of Existing Audition and Solution Offers in Order To Promote Efficiency(Istanbul Univ Press, Istanbul Univ Rectorate, 2019) Muftuoglu, Zeynep; LawThe detection of flaws in the audit of the final accounts law, which is an indicator of the compatibility of the revenues collected and spending in a given financial year made by the executive body to the budget law, and efforts to address these flaws is a major requirement for fulfilling the principle of the rule of law and ensuring the budget right. In the study, regarding the importance of final accounts law in the realization of rule of law principle and budget right, the characteristics of the final accounts law and the auditing mechanisms on it are being examined. Such examination is held through a critical approach and ineffective and problematic sides of the auditing are tried to be sorted out. In the light of that research, solutions are tried to be developed. Regarding that aim, in the conclusion section, the mechanisms required to address the flaws caused by the shortcomings of the conducted audits will be discussed and suggestions that would remove these shortcomings will tired to be suggested. As it can be seen in the discussions, the most possible and effective way to remove the flaws in the auditing of the final accounts law can be appointed and zoomed on the legislative branch. On the basis of the characteristics of the auditions, solutions will be more focused on legislative level as well.Article Citation Count: 0Modeling the Mood State on Thermal Sensation With a Data Mining Algorithm and Testing the Accuracy of Mood State Correction Factor(Pergamon-elsevier Science Ltd, 2025) Yerlikaya-Ozkurt, Fatma; Ozbey, Mehmet Furkan; Turhan, Cihan; Energy Systems Engineering; Industrial Engineering; Mechanical EngineeringPsychology is proven as an influencing factor on thermal sensation. On the other hand, mood state is one of the significant parameters in psychology field. To this aim, in the literature, mood state correction factor on thermal sensation (Turhan and Ozbey coefficients) is derived utilizing with data-driven black-box model. However, novel models which present analytical form of the mood state correction factor should be derived based on the several descriptive variables on thermal sensation. Moreover, the result of this factor should also be checked with analytical model results. Therefore, this study investigates the modelling of mood state correction factor with a data mining algorithm, called Multivariate Adaptive Regression Splines (MARS). Additionally, the mood state is also taken as a thermal sensation parameter besides environmental parameters in this algorithm. The same data, which are collected from a university study hall in a temperate climate zone, are used and the model results are compared with the thermal sensation results based on mood state correction factor which is driven via black-box model. The results show that coefficient of correlation "r" between the MARS and black-box model is found as 0.9426 and 0.9420 for training and testing. Hence, the mood state is also modelled via a data mining algorithm with a high accuracy, besides the black-box model.Article Citation Count: 0Synthesis and Electropolymerization of a Selenophene Based Chemiluminescent Monomer and Its Use in Blood Detection(Elsevier Sci Ltd, 2025) Balci, Burcu; Cakal, Deniz; Cihaner, Atilla; Chemical EngineeringA new selenophene based trimeric chemiluminescent compound, namely 5,7-di(selenophen-2-yl)-2,3-dihydrothieno[3,4-d]pyridazine-1,4-dione (S2T-Lum), was synthesized in two steps via electron donor-acceptor-donor approach. Its chemiluminescent reaction with hydrogen peroxide was investigated in an alkaline solution in the presence of various catalysts such as different metal ions, hemin and blood samples and the results were compared with its thiophene analogue (T2T-Lum) and luminol. It was found that S2T-Lum was very sensitive to copper(II) and iron(III) ions, and blood samples. Also, it can be easily concluded that S2T-Lum as a new member of luminol type compounds is a potential candidate for the detection of blood findings in forensic science. Furthermore, S2T-Lum has an irreversible oxidation peak at 1.28 V vs Ag/AgCl, which is responsible from its electropolymerization. S2T-Lum was successfully polymerized electrochemically via potentiodynamic electrolysis without cleavage of its chemiluminescent active appendage. To the best of our knowledge, its corresponding polymer PS2T-Lum film is the first member of selenophene based luminol type electroactive polymers.Article Citation Count: 6Optimum dragline selection for strip coal mines(inst Mining Metallurgy, 1998) Erdem, B; Çelebi, N; Pasamehmetoglu, AG; Department of Civil EngineeringA model is presented by means of which the optimal dragline selection may be made. An outline is given of the methodology that was adopted in developing a series of generic algorithms to first define and then formularize the need to extend the working bench under a nat-lying topography and coal seam. Rehandle percentages were calculated for four generalized extended bench geometries, in each of which the percentage rehandle varied according to the relative positions of the extended bench and pit. A set of geometric and simulative equations was developed on which a model for the optimal selection of a dragline was based. Finally, a typical application was tested through the use of data associated with a hypothetical strip-mining operation.Article Citation Count: 0ON A GENERALIZED α-ADMISSIBLE RATIONAL TYPE CONTRACTIVE MAPPING(Yokohama Publ, 2016) Erhan, Inci M.; Kir, Mehmet; MathematicsRecently, many generalized contractive conditions which involve rational contractive inequalities have been introduced in the context of partially ordered metric spaces. In this paper, we aim to give a generalized rational contractive condition which involves some of these results without need of extra restrictions.Article Citation Count: 12ASSESSING COGNITIVE COMPLEXITY IN JAVA-BASED OBJECT-ORIENTED SYSTEMS: METRICS AND TOOL SUPPORT(Slovak Acad Sciences inst informatics, 2016) Crasso, Marco; Mateos, Cristian; Zunino, Alejandro; Misra, Sanjay; Polvorin, Pablo; Computer EngineeringSoftware cognitive complexity refers to how demanding the mental process of performing tasks such as coding, testing, debugging, or modifying source code is. Achieving low levels of cognitive complexity is crucial for ensuring high levels of software maintainability, which is one of the most rewardful software quality attributes. Therefore, in order to control and ensure software maintainability, it is first necessary to accurately quantify software cognitive complexity. In this line, this paper presents a software metric to assess cognitive complexity in Object Oriented (OO) systems, and particularly those developed in the Java language, which is very popular among OO programming languages. The proposed metric is based on a characterization of basic control structures present in Java systems. Several algorithms to compute the metric and their materialization in the Eclipse IDE are also introduced. Finally, a theoretical validation of the metric against a framework specially designed to validate software complexity metrics is presented, and the applicability of the tool is shown by illustrating the metric in the context of ten real world Java projects and relevant metrics from the well-known Chidamber-Kemerer metric suite.
