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Abstract In recent studies, artificial intelligence and machine learning methods give higher accuracy than other prediction methods in large data sets with complex structures. Instead of statistical methods, artificial intelligence, and machine learning are used due to the difficulty of constructing mathematical models in multi-parameter and multivariate problems. In this study, predictions of length–weight relationships and meat productivity were generated by machine learning models using measurement data of male and female crayfish in the narrow-clawed crayfish population living in Apolyont Lake. The data set was created using the growth performance and morphometric characters from 1416 crayfish in different years to determine the length–weight relationship and length-meat yield. Statistical methods, artificial intelligence, and machine learning are used due to the difficulty of constructing mathematical models in multi-parameter and multivariate problems. The analysis results show that most models designed as an alternative to traditional estimation methods in future planning studies in sustainable fisheries, aquaculture, and natural sources management are valid for machine learning and artificial intelligence. Seven different machine learning algorithms were applied to the data set and the length–weight relationships and length-meat yields were evaluated for both male and female individuals. Support vector regression (SVR) has achieved the best prediction performance accuracy with 0.996 and 0.992 values for the length–weight of males and females, with 0.996 and 0.995 values for the length-meat yield of males and females. The results showed that the SVR outperforms the others for all scenarios regarding the accuracy, sensitivity, and specificity metrics.

Background: Cardiovascular diseases (CVDs) are the leading cause of death worldwide. Vital organs like the heart are affected by the occlusion of blood vessels due to atherosclerotic plaque formation. However, the role of infectious agents has always been an essential subject of investigation. This study investigated the presence of microorganisms, including nanobacteria, in atherosclerotic plaques removed from human carotid arteries by microbiological and metagenomic examination. Methods: Atheroma plaque samples were obtained from 20 patients with carotid artery stenosis who had atherectomy by surgery or percutaneous intervention. Nanobacteria were grown by culturing homogenates of the atheroma plaques. Whole genome sequencing was done for samples. Because of the high percentage of Toxoplasma gondii (T. gondii) DNA, PCR investigation was applied to detect T. gondii DNA in the samples. Results: A molecular analysis of nanobacteria revealed them to be made of human proteins, supporting the theory that they are not living organisms. According to sequencing results, samples showed that more than 50 % of the metagenomic sequences belonged to Toxoplasma gondii. PCR investigation indicated that T. gondii DNA was positive in 8 (40 %) of 20 plaques. Conclusions: Further evidence regarding the role of T. gondii in the etiology of plaque formation may help determine the strategy for prevention and treatment of infections in preventing atheroma plaque formation in the future.

This paper studies the following reaction-diffusion equation with a weak singular boundary condition. The primary objective for this problem is to analyze the quenching properties. It is obtained that finite time quenching occurs on the left bound-ary, the time derivative of the solution blows up at the same time and also quenching rate estimates of the solution of the eqaution kt(x, t) = kxx(x, t) + ln αk(x, t), (x, t) ∈ (0, 1) × (0, T) with kx (0, t) = - ln βk(0, t), kx (1, t) = 0, t ∈ (0, T) and initial function k (x, 0) = k0 (x) with [0, 1] → (0, 1) where 0 < α, β < 1 and T is a finite time. [ABSTRACT FROM AUTHOR]

Elliptic Curve Cryptography (ECC) provides high security with shorter key sizes and higher performance. Internet of Things (IoT) is the interconnected network where a vast number of connected devices require high security to ensure data integrity and privacy. Field programmable gate arrays (FPGAs) are configurable hardware fabrics enhancing the performance of applications. We propose two FPGA-based high performance and lightweight ECC processors for IoT devices. One of the ECC processor is serial with less area and the other is parallel with higher speed. The proposed ECC processors use Edwards curves and perform frequency domain multiplication utilizing FPGA-embedded digital signal processors (DSPs) or lookup tables. The proposed ECC processors work over prime characteristic finite fields of the form $GF((2^{n}-1)^{n})$ . Three such prime characteristic finite fields are investigated for each processor: $n=13,~17$ and 19, providing the key lengths of 169, 289 and 361 bits, respectively. Synthesis results, targeting different FPGAs, show that the proposed ECC processors outperform similar existing ECC processors in terms of area and speed. For example, over Virtex5 FPGA, compared to the lowest area ECC implementations in the literature over the same finite fields, our serial ECC processor without DSPs occupies 19.07% to 26.06% fewer slices while being $2.17\times $ to $3.57\times $ faster. Compared to the fastest ECC implementations, our parallel ECC processor without DSPs occupies 20.42% to 27.38% fewer slices while being $1.76\times $ to $2.22\times $ faster, and our parallel ECC processor that use DSPs is $1.93\times $ to $2.50\times $ faster.

Voice over Internet Protocol (VoIP) networks are vulnerable to caller-ID (caller-identification) spoofing attacks due to the open nature of Session Initiation Protocol (SIP) signaling. Caller-ID spoofing is a critical security threat in modern telecommunication systems, allowing attackers to impersonate legitimate callers and gain access to sensitive information. While these attacks pose a significant threat to the telecom and financial industries, the existing solutions are limited to only closed-circuit options for subscribers of the same service provider. In this paper, we present a novel blockchain-based solution to effectively prevent caller-ID spoofing attacks in real time. Our approach employs a low-latency consensus algorithm to manage and verify end-to-end the caller-ID information of Internet Service Providers (ISPs) and institutions. We propose a two-step verification process, in which the accuracy and integrity of Automatic Number Identification (ANI) information is verified at different stages of the call. The proposed solution initiates a renewal of the ISP registration on every caller-ID change, making it unaffected by unusual situations such as roaming, the use of an IP-PBX (Internet Protocol Private Branch Exchange), or the use of a VPN (Virtual Private Network). We also discuss the proposed solution’s feasibility and potential deployment issues, including its integration into existing RFC (Request for Comments) efforts and the necessary regulations for service providers to demonstrate compliance. Furthermore, we address future research directions, such as handling complex call scenarios such as call forwarding and teleconference calls. Our approach not only improves the security of telecommunication systems but also provides an efficient and scalable solution to prevent caller-ID spoofing attacks.

In this study we provide insights into the effectiveness of the clearing function concept in a hierarchical planning context. The clearing function is a mathematical representation of the relation between the Work-In-Process (WIP) and the throughput of a production process. We use it in a deterministic order release planning model to anticipate the dynamics of the operational level, which is subject to uncertainties. A multi-period single-item order release and scheduling problem is considered in which the delivery schedule of the orders is determined through the planned lead times, and the capacity loading decisions are separated from the order release decisions in a way so as to plan for on-time deliveries. Early or late delivery of the orders, which are released and delivered in batches, has not been considered explicitly in previous studies on clearing functions, and it significantly affects the inventory costs. Both linear and non-linear clearing functions are tested using a simulation approach. The results indicate that modeling the clearing of WIP by a shop should be based on the short-term operational dynamics of the shop rather than on the long-term average shop behavior, since it improves the consistency between the operational planning and scheduling levels of the hierarchy. The presented methods and results provide valuable information on modeling production characteristics in aggregate production planning and scheduling models. Keywords: Clearing functions, work-in-process, supply chain, hierarchical planning, planned lead times, 1. Introduction and literature Supply Chain Operations Planning (SCOP) is the planning, control and coordination of material release and capacity loading decisions in a supply chain such that predefined customer [...]

Abstract Lunsekimig is a novel, bispecific NANOBODY® molecule that inhibits both thymic stromal lymphopoietin (TSLP) and interleukin (IL)‐13, two key mediators of asthma pathophysiology. In this first‐in‐human study, we evaluated the safety, tolerability, pharmacokinetics (PK), pharmacodynamics (PD), and immunogenicity of lunsekimig in healthy adult participants. Participants received single ascending doses (SAD) of lunsekimig (10–400 mg intravenous [IV] or 400 mg subcutaneous [SC]) (SAD part) or multiple ascending doses (MAD part) of lunsekimig (100 or 200 mg, every 2 weeks [Q2W] for three SC doses), or placebo. Overall, 48 participants were randomized 3:1 in the SAD part and 4:1 in the MAD part for lunsekimig or placebo. The primary endpoint was safety and tolerability. The secondary endpoints included PK, antidrug antibodies (ADAs) and total target measurement. Lunsekimig was well tolerated and common treatment‐emergent adverse events were COVID‐19, nasopharyngitis, injection site reactions, and headache. Lunsekimig showed dose‐proportional increases in exposure and linear elimination. Mean t1/2z of lunsekimig was around 10 days across all IV and SC doses of the SAD and MAD parts of the study. Increases in the serum concentration of total TSLP and IL‐13 for lunsekimig versus placebo indicated target engagement. ADA of low titers were detected in four (11.1%) participants who received lunsekimig in the SAD, and seven (43.8%) in the MAD. In conclusion, lunsekimig was well tolerated in healthy participants with a linear PK profile up to single 400 mg IV and SC dose and multiple doses of 100 and 200 mg SC Q2W, with low immunogenicity.

This study was conducted to examine the communication skills and self-efficacy levels of individuals working as coaches. The population of this study, which was conducted using a descriptive research model, consisted of coaches working actively in Turkey, while the sample group consisted of a total of 697 coaches, 203 women and 494 men, on a voluntary basis. The data were obtained by using "Personal Information Form", "General Self-Efficacy Scale" and "Communication Skills Assessment Scale". Independent Samples t test, One Way ANOVA test, Person correlation analysis were used to reach statistical results. It was concluded that the self-efficacy score averages of the coaches participating in the study were higher than the averages of communication skills sub-dimensions. While there was a statistical difference between the education level of the male coaches participating in the study and the communication principles and basic skills sub-dimensions of communication skills, no difference was found in other sub-dimensions. While there was no statistical difference in the communication skills sub-dimensions and the education level of female coaches, a significant difference was found in general self-efficacy scores. Significant differences were found in the coaching levels of male coaches participating in the study and in the sub-dimension of general self-efficacy and communication. In addition, significant differences were found in the coaching levels of female coaches and in the sub-dimensions of self-expression, active listening and non-verbal communication and willingness to communicate. As a result, there is a parallelism between the self-efficacy and communication skills of the coaches participating in the study. In other words, it can be said that as the competence of male and female coaches in their jobs increases, their communication skills also increase.

Abstract Heterochely is an important phenomenon in decapod crustaceans. Nevertheless, it was rarely examined in freshwater crayfish. Therefore, the aim of this study was to investigate cheliped loss and abnormalities of the narrow-clawed crayfish, Pontastacus leptodactylus. The crayfish samples were captured using 17 mm mesh-sized fyke-nets from Atikhisar Reservoir in Çanakkale, Turkey between July 2020 and June 2021. The cheliped loss was classified and compared between sexes and length groups. The cheliped surface was calculated for each specimen for both the right and left cheliped. Results of the study indicate that the percentages of the sampled individuals were 5.46% for the right cheliped missing group, 5.23% for the left cheliped missing group, 10.37% for both chelipeds missing group, and 78.94% for both chelipeds present group. There was a statistical difference between cheliped loss and size groups (p < 0.05). Although cheliped loss is almost non-existent in low-size groups (10.0-29.9 mm), it reaches high values in the 40.0-69.9 mm size groups. The most intense loss occurs in the 40.0-49.9 and 50.0-59.9 mm size groups. It was determined that 10.69% of the sampled individuals examined had a single cheliped (10.03% female, 11.14% male). A statistically significant difference was found between cheliped loss and sex (p < 0.05). The percentage of female and male individuals with no chelipeds is 9.83% for females and 10.73% for males, and with both chelipeds it is 80.14% for females and 78.14% for males. While the number of abnormalities observed in chelipeds was higher in males, abnormalities in both chelipeds were higher in females. Moreover, it was found that cheliped loss significantly differed according to the months of collection (p < 0.05). Cheliped losses increased in July, August, and September when feeding was comparatively intense. In conclusion, the fact that the individuals were obtained alive, was an indication that the abnormalities detected did not significantly affect their vital activities directly. However, morphological abnormalities in the appendages, especially in the chelipeds, may impair their functional use compared to a healthy cheliped. This abnormal condition is assumed to share the disadvantageous limitations experienced by the absence of a cheliped.

Image-to-text radiology report generation aims to automatically produce radiology reports that describe the findings in medical images. Most existing methods focus solely on the image data, disregarding the other patient information accessible to radiologists. In this paper, we present a novel multi-modal deep neural network framework for generating chest x-rays reports by integrating structured patient data, such as vital signs and symptoms, alongside unstructured clinical notes. We introduce a conditioned cross-multi-head attention module to fuse these heterogeneous data modalities, bridging the semantic gap between visual and textual data. Experiments demonstrate substantial improvements from using additional modalities compared to relying on images alone. Notably, our model achieves the highest reported performance on the ROUGE-L metric compared to relevant state-of-the-art models in the literature. Furthermore, we employed both human evaluation and clinical semantic similarity measurement alongside word-overlap metrics to improve the depth of quantitative analysis. A human evaluation, conducted by a board-certified radiologist, confirms the model’s accuracy in identifying high-level findings, however, it also highlights that more improvement is needed to capture nuanced details and clinical context.

Bu çalışmada, ulusal kimlik ile tüketici etnosentrizmi, kültürel duyarlılık ile tüketici etnosentrizmi ve tüketici etnosentrizmi ile algılanan risk arasındaki ilişkilerin ölçülmesi amaçlanmıştır. Bu amaçla, kolayda örneklemle 343 katılımcıdan anket yoluyla toplanan veriler kullanılmıştır. Araştırma modeli, Wang vd.’nin (2018: 326) İngiltere pazarında test ettiği modelden uyarlanmıştır. Araştırma modelini ve modeldeki ilişkileri analiz edebilmek üzere yol analizi gerçekleştirilmiştir. Araştırmanın sonuçları, ulusal kimliğe yönelik tutumu yüksek tüketicilerin, etnosentrizm düzeylerinin de yüksek olduğu ve bu yüzden yabancı ürün alma eğilimlerinin düşük olduğuna işaret etmektedir. Bulgular, tüketici etnosentrizmi ile yabancı menşeli ürünlere yönelik algılanan risk arasında pozitif bir ilişki olduğunu göstermektedir. Ancak kültürel hassasiyet ile tüketici etnosentrizmi arasında anlamlı bir ilişki ortaya konulamamıştır.

Milli marşlar ülkelerin bağımsızlık göstergelerinden biridir ve ülkelerin bağımsızlık duygusundan bahseder. Bu çalışmada Türkiye Cumhuriyeti milli marşı İstiklal Marşı’nın veri analizi yapılmıştır. İstiklal Marşı analiz edilirken ortak dil bağının bulunduğu Türk Keneşi üye ülke marşları, ortak dini değerleri bulunduğu düşünülen İslam İş Birliği Teşkilatı üye ülke marşları ve Türkiye’nin bir Avrupa ülkesi olmasından ötürü Avrupa Birliği Üye ülkelerinin marşları analize dahil edilmiştir. Analiz veri madenciliği açısından kümeleme analizi ve birliktelik analizini tekniklerini içermektedir. Metin madenciliği açısından ise kelime boyutunda, başlık boyutunda ve duygu analizi boyutunda İstiklal Marşı ve diğer milli marşların benzerlikleri incelenmiştir. Analiz sonucunda kümeleme analizi ile veriler iki küme olarak hesaplanmış bir kümede karşılaştırılan tüm ülke marşları yer alırken İstiklal Marşı diğer kümede tek başına yer almıştır. Bu İstiklal Marşının özgünlüğünü ortaya koymada önemli bir göstergedir. Yine metin madenciliği başlığı altındaki 3 boyuttaki analizler İstiklal Marşı ile karşılaştırılan milli marşlar arasında bir benzerlik ortaya koyamamıştır. Birliktelik analizi sonuçları ise milli marşlardaki ortak kelimelerin ve kelimelerin birlikte kullanımını göstermesi açısından önemlidir.

Küreselleşme ile birlikte, bir toplumda geliştirilen ölçeklerin başka toplumlarda da kullanılmasına ihtiyaç duyulmaya başlanmıştır. Bu uygulama, bilimin evrenselliği açısından her ne kadar doğal bir süreç olarak görülse de beraberinde yeni problemler getirmiştir. Ölçme araçlarının standartlaştırılma süreci bunlardan en önemlisidir. Geliştirilen bir ölçeğin başka bir topluma uyarlanmasında dil ve hatta kültür farklılığına bağlı engellerle karşılaşılması söz konusudur. Bu nedenle uyarlama süreci, araştırmanın temelini oluşturan önemli bir basamaktır. Uyarlama süreci 6 aşamadan meydana gelmektedir. Karar vermeyle başlar saha testi ile son bulur. Bu çalışmada farklı dil ve kültürlerde geliştirilmiş olan güven eğilimi ölçeği (Gefen ve Straub, 2004), geçmiş deneyim ölçeği (Pavlou ve Gefen, 2004), reklam değeri ölçeği (Ducoffe, 1995), ağızdan ağıza iletişim ölçeği (Shumann vd., 2010) ve satınalma niyeti ölçeğinin (Kim ve Park, 2013) Türkçeye uyarlama sürecindeki testlere yer verilmiştir. Uyarlamalar sonucunda geçmiş deneyim ve ağızdan ağıza iletişimin satınalma niyetini açıkladığı; satınalma niyetini açıklama açısından ağızdan ağıza iletişimin katsayısının, geçmiş deneyim katsayısının yaklaşık iki katı olduğu tespit edilmiştir. Yani tüketicilerin dijital platformlarda, çevresindekilerin öneri ve referanslarının satınalma kararlarında etkili olduğu söylenebilir.

The field of multiplicative analysis has recently garnered significant attention, particularly in the context of solving multiplicative differential equations (MDEs). The symmetry concept in MDEs facilitates the determination of invariant solutions and the reduction of these equations by leveraging their intrinsic symmetrical properties. This study is motivated by the need for efficient methods to address MDEs, which are critical in various applications. Our novel contribution involves leveraging the fundamental properties of orthogonal polynomials, specifically Laguerre polynomials, to derive new solutions for MDEs. We introduce the definitions of Laguerre multiplicative differential equations and multiplicative Laguerre polynomials. By applying the power series method, we construct these multiplicative Laguerre polynomials and rigorously prove their basic properties. The effectiveness of our proposed solution is validated through illustrative examples, demonstrating its practical applicability and potential for advancing the field of multiplicative analysis.

Job loss is a significant income shock that can lead to declines in living standards and satisfaction. Wealth can provide a key resource in stratifying the risk and the consequences of such an event. In this article, I examine the extent to which wealth stratified the experience of job loss in the UK from 1991 to 2008. I distinguish between different wealth groups using information on homeownership and home value of primary residency, and then study whether these groups face different risks and/or consequences of job loss. The results show that renters were a significantly disadvantaged group compared to homeowners during the observation period. Not only did they faced a significantly higher risk of job loss, they also experienced greater declines in earnings, household income, and life satisfaction, and larger increases in income poverty in the year of job loss. Among homeowners, the risk and consequences of job loss were similar. In a country like the UK with minimal public insurance for unemployment, homeownership appears to provide a significant source of stratification for job loss.

Introduction: Although various conservative and surgical treatment methods have been proposed, treatment options for patients with odontoid fractures remain controversial. This study was conducted to determine some demographic and radiological measurement parameters that can predict treatment options in patients with odontoid fractures. Materials and Methods: The patients were separated into the surgery (−) group (n = 9) and the surgery (+) group (n = 10). Patient data were recorded of age, gender, type of odontoid fracture, morphological measurement results obtained from computed tomography images, treatment regimens, duration of stay in the hospital, and mortality rate. In the operating room, a halo-vest corset or Philadelphia-type cervical collar was applied to the surgery (−) patients after the reduction of the fracture under fluoroscopy. Anterior odontoid lag screw fixation was performed on surgery (+) patients. Results: The amount of displacement of the fractured odontoid, the distance between the C1 vertebra and the odontoid process, the angle between the posterior wall of the odontoid process and the posterior wall of the clivus, the slip angle, and the anterior to posterior width of the spinal canal were not different between the groups. No difference was determined between the groups in respect of the amount of lateral displacement of the odontoid process in the spinal canal in the axial plane and the angle of the fractured odontoid process with the C2 vertebral body. Conclusion: This preliminary study showed that the demographic data and radiological measurement parameters analyzed in the present study could not be used as predictive markers either in decision-making for treatment modality or mortality risk.

We present a practical realization of Rivest-Shamir-Adleman (RSA) with a 2048-bit key on MSP430, a widely used microcontroller in wireless sensor network and Internet of things applications, and show that 2048-bit RSA is feasible on a constrained microcontroller. We exploit several methods for acceleration, e.g. Montgomery modular multiplication, subtractive Karatsuba-Ofman and Chinese remainder theorem (CRT) based modular exponentiation, and achieve RSA encryption and decryption with a 2048-bit key on MSP430 in just 0.14 s and 7.56 s, respectively. Our implementation on the low-end MSP430 microcontroller achieves 2048-bit RSA significantly faster ( $\times 2.9$ and $\times 2.4$ for encryption and decryption) with respect to the existing implementation in the literature on the comparable ATmega128 microcontroller. While our implementation is secure against the brute force attack due to its 2048-bit key, and thus 112-bit security level, it also includes the necessary side-channel countermeasures, e. g. message and key blinding, to help mitigate implementation attacks such as simple power analysis and differential power analysis.

Küreselleşme tüketici pazarlarının birbirine benzer hale gelmesine ve kültürler arası etkileşimin gerçekleşmesine neden olmaktadır. Bununla birlikte tüketici pazarlarını etkileyen ve farklılaştıran kültürel faktörlerin etkisi de gözardı edilmemekte, etnosentrizm ve dindarlık kavramları bireylerin tutumlarını ve tercihlerini etkileyen önemli faktörler olarak literatürde tartışılmaktadır. Bu çalışmanın amacı tüketicilerin yerli ve yabancı markalı ürün tercihleri ile etnosentrik eğilimleri ve dindarlık düzeyleri arasındaki ilişkiyi ortaya çıkarmaktır. Tüketici tercihlerini değerlendirmek için beğenmeli mallardan cep telefonu markaları, kolayda mallardan ise soğuk çay ve çikolata markaları araştırmada ürün grupları olarak belirlenmiştir. Araştırma sonucunda katılımcıların etnosentrik eğilimlerinin ve dindarlık düzeylerinin, çay ve çikolata marka tercihlerinde farklılık gösterdiği tespit edilmiştir. Cep telefonu marka tercihinde ise herhangi bir farklılık bulunamamıştır.

TiO2 nanoparticles were prepared using a sol–gel process in combination with a novel cationic gemini surfactant (CGS) with amide functional groups at low temperatures. Titanium (IV) isopropoxide (TIP) and CGS were used as the starting materials and as effective agents, respectively, to orient the nanoparticles during the sol–gel synthesis. To reveal both the structural and morphological properties of the nanopowders prepared in this work, they were characterized using X-ray diffraction (XRD) analysis, scanning electron microscope (SEM), and Brunauer–Emmett–Teller (BET) surface area apparatus. The pore volume and pore size were calculated using the Barrett–Joyner–Halenda (BJH) model on the desorption branch. The experimental results show that the surface area and average crystallite size of the obtained TiO2 nanopowders vary between 160–203 m2/g and 27–49 nm, respectively. It was observed that the N2 adsorption–desorption isotherms for almost all samples of TiO2–X% CGS (X: mass of CGS) show the typical Type I with a hysteresis loop of H4. The photocatalytic activities of the CGS-modified nanocomposites are evaluated not only by the photocatalytic degradation of methyl orange (MO) but also by the reduction of Cr(VI) as model pollutants in the presence of visible light. HIGHLIGHTS Excitable TiO2/CGS composites were prepared by the sol-gel method.; XRD, SEM, BET, and N2 adsorption-desorption measurements were done for structural properties.; Photocatalytic activity of TiO2/CGS nanocomposite was evaluated on both the photoreduction of Cr(VI) ions and photooxidation of methyl orange under irradiation from a 365 nm lamp.; Utilized in this survey is a cationic gemini surfactant that has a similar CTAB structure and has two long chains and cationic head groups and is a preferred morphology agents. Compared to one head group with CTAB, a novel synthesized cationic surfactant with two long chains is anticipated to positively affect both the properties of catalyst structures and data of photocatalytic degradation of model pollutants.;

Determining the physical nature of a star requires precise knowledge of its stellar atmospheric parameters, including effective temperature, surface gravity, and metallicity. This study presents a new atomic line list covering a broad spectral range (1–2.5 μ m; YJHK bands) for iron (Fe) and α -elements (Ca, Mg, Ti, Si) to improve stellar parameter determination using near-infrared (NIR) spectroscopy. We highlight the limitations of existing line lists, stemming primarily from inconsistencies in oscillator strengths for ionized iron lines within the Apache Point Observatory Galactic Evolution Experiment DR17. The line list was validated using the high-resolution and high-quality disk-center NIR spectra of the Sun and its solar analog HD 76151. As a result of the spectroscopic analyses, the effective temperature of HD 76151 was calculated as 5790 ± 170 K, surface gravity as 4.35 ± 0.18 cgs, metal abundance as 0.24 ± 0.09 dex, and microturbulence velocity of ${0.30}_{-0.3}^{+0.5}$ km s ^−1 by combining the optical and NIR line lists. A comparison of the model atmospheric parameters calculated for HD 76151 with the PARSEC isochrones resulted in a stellar mass of ${1.053}_{-0.068}^{+0.056}{M}_{\odot }$ , radius ${1.125}_{-0.011}^{+0.035}{R}_{\odot }$ , and an age of ${5.5}_{-2.1}^{+2.5}$ Gyr. For the first time, kinematic and dynamical orbital analyses of HD 76151 using a combination of Gaia astrometric and spectroscopic data showed that the star was born in a metal-rich region within the solar circle and is a member of the thin disk population. Thus, the slightly metal-rich nature of the star, as reflected in its spectroscopic analysis, was confirmed by dynamical orbital analysis.

The hyperfine structure of 40 spectral lines of singly ionized thulium (Tm ii ) in emission spectra from a hollow cathode discharge lamp measured with a Fourier transform spectrometer in the wavelength range from 335 to 2345 nm has been investigated. As a result of the analysis, the magnetic dipole hyperfine structure constants A for 27 fine structure levels of Tm ii were determined for the first time. In addition, the values of two magnetic dipole hyperfine structure constants A from the literature were declared incorrect, and the corrected values were given.

The integration of photovoltaic (PV) and thermoelectric (TE) modules in PV-TE systems has shown potential for expanding the utilization of the solar spectrum, enhancing the total power output, and reducing the space that is required for PV power plants. This paper discusses the characteristics of a practical PV-TE system model. Typically, to boost the power output of the TE component, a significant temperature difference is induced across the thermoelectric generator (TEG) module using various heat removal methods. These cooling techniques not only enhance the TEG module’s efficiency but may also improve the performance of the PV component. In this study, we evaluate the efficiencies of PV-TE systems that are equipped with polycrystalline silicon solar cells and seven distinct TEGs under four different conditions. Initially, the PV-TE hybrid systems are tested without a cooling mechanism at an ambient temperature of 25 °C (Standard Test Conditions EN/IEC 61215). Subsequently, we examine the systems with a passive cooling approach, employing aluminum heat sinks to facilitate improved heat dissipation. Further tests involve an active cooling system using water and then nanofluid as coolants. The results from these assessments aim to establish a benchmark for enhancing the efficiency of future PV-TE systems.

Bu araştırma, nota yazısının Finale nota yazım programından yararlanarak bilgisayar ortamına aktarımı sürecinde hangi yöntemlerin izlenilmesi gerektiğine yönelik öneriler sunmayı amaçlamaktadır. Nitel bir araştırma olan bu çalışmada, veriler belgesel tarama olarak bilinen doküman analizi metodu ile elde edilmiştir. Bu çalışmaya konu olan “Make Music” firmasının “26.3.1.520” sürümlü “Finale” programıdır. Bu program aracılığıyla nota yazısını bilgisayar ortamına aktarım sürecindeki işlem basamakları incelenmiş ve elde edilen bulgular sonucunda programın nasıl kullanılması gerektiğine yönelik önerilerde bulunulmuştur.

Upstream transcription factor 1 (USF1) regulates the transcription of many genes related to cell and organism survival processes such as stress and immune response, regulation of cellular senesce, and carcinogenesis. In this study, our aim was to investigate the effect of USF1 single nucleotide variations (SNVs) on longevity in the Vitality 90+ study, a population‐based study of nonagenarians (90 ±1 years of age) living in the area of Tampere municipality, Finland. Altogether 509 voluntary nonagenarians (115 males, 394 females) were genotyped using the 5′‐nuclease assay for rs2774279G > A, rs2516839T > C, and rs2073658C > T SNVs. During the 4 years of follow‐up, the total mortality rate was 64.2%. In the study, we found that the frequency of C‐allele of rs2516839 among nonsurviving nonagenarians (52.5%) was higher than those who survived (41.2%; P = 0.0006, odds ratio = 1.575, 95% confidence interval [CI]: 1.215–2.041). Furthermore, carriage of this variation and its haplotypes had a significant gender by genotype interaction (P < 0.05) on mortality. Kaplan‐Meier log‐rank test during 4‐years of follow‐up showed significantly higher mortality rate in the case of CC genotype carriage than other genotype carriages in nonagenarian women (P < 0.0001). In addition, after adjusting for age in Cox regression analysis, cardiovascular disease, diabetes, infectious disease, dementia, and living place (nursing home or home), CC genotype of rs2516839T > C was found to be associated with shorter life expectancy in nonagenarian women (hazard ratio = 2.27; 95% CI, 1.34–3.85 P = 0.002). In conclusion, rs2516839 variation and related haplotypes of the USF1 gene are strongly related to all‐cause mortality in Finnish nonagenarians, especially among women. [ABSTRACT FROM AUTHOR]

One of the most important problems of geotechnical engineering is the design of pile foundations. Piles are generally designed for vertical and horizontal static loads. However, it is important to design piles against dynamic loads in regions with high seismicity. This study verified a centrifuge experiment obtained from the literature with a finite element program. With the kinematic interaction analyses performed for this purpose, the effect of parameters such as layered soil, groundwater, pile stiffness, and earthquake acceleration were investigated numerically. According to the results obtained, it was understood that the earthquake magnitude is the most important parameter in kinematic interaction analyses. In addition, in layered soil conditions, the fact that 75% of the pile length is in the weak soil creates the most unfavorable situation. It was observed that pile stiffness and groundwater level also have certain effects on the kinematic interaction.

With developments in maritime trade, the need to increase port capacities has emerged. It is important that the reconstruction of such port structures be carried out without disrupting the activities of the existing port and without damaging the old structures. However, the reconstruction and strengthening of these structures require significant engineering work. Especially in the design of such structures, geotechnical and structural engineering theories and practices need to be considered together. The most important challenge in this type of engineering design is to ensure harmony in geotechnical and structural analyses. In this study, the strengthening of a port structure in Guinea is taken as a case study. First, the existing quay wall was evaluated, and then the geotechnical and structural design of the new structure to be built for capacity increase was discussed. A geotechnical design was made with the Plaxis 2D program, and the structural design was made with the Sap2000 program. The soil behavior was analyzed nonlinearly with the Plaxis program and was modeled with the same accuracy as the Sap2000 program. In addition, pile capacities were confirmed by loading tests performed on the piles. The results show that complex hybrid solutions consisting of reinforced and unreinforced piles can be modeled with the finite element method. As seen from this case study, the capacities of existing port structures can be safely increased, provided that necessary geotechnical precautions are taken.

Structural displacement monitoring is one of the major tasks of structural health monitoring and it is a significant challenge for research and engineering practices relating to large-scale civil structures. While computer vision-based structural monitoring has gained traction, current practices largely focus on laboratory experiments, small-scale structures, or close-range applications. This paper demonstrates its applications on three landmark long-span suspension bridges in Turkey: the First Bosphorus Bridge, the Second Bosphorus Bridge, and the Osman Gazi Bridge, among the longest landmark bridges in the world, with main spans of 1074 m, 1090 m, and 1550 m, respectively. The presented studies achieved non-contact displacement monitoring from a distance of 600 m, 755 m, and 1350 m for the respective bridges. The presented concepts, analysis, and results provide an overview of long-span bridge monitoring using computer vision-based monitoring. The results are assessed with conventional monitoring approaches and finite element analysis based on observed traffic conditions. Both displacements and dynamic frequencies align well with these conventional techniques and finite element analyses. This study also highlights the challenges of computer vision-based structural monitoring of long-span bridges and presents considerations such as the encountered adverse environmental factors, target and algorithm selection, and potential directions of future studies.