bluuebunny/crossref_metadata_2025_split huggingface dataset:
Performance Analysis of Multi-Tote Storage and Retrieval Autonomous Mobile Robot Systems
Authors: Qin Zhizhen , Yang Peng , Gong Yeming , de Koster René B. M. 
Published: May 2024

Multi-tote storage and retrieval (MTSR) autonomous mobile robots can carry multiple product totes, store and retrieve them from different shelf rack tiers, and transport them to a workstation where the products are picked to fulfill customer orders. In each robot trip, totes retrieved during the previous trip must be stored. This leads to a mixed storage and retrieval route. We analyze this mixed storage and retrieval route problem and derive the optimal travel route for a multiblock warehouse by a layered graph algorithm, based on storage first-retrieval second and mixed storage and retrieval policies. We also propose an effective heuristic routing policy, the closest retrieval (CR) sequence policy, based on a local shortest path. Numerical results show that the CR policy leads to shorter travel times than the well-known S-shape policy, whereas the gap with the optimal mixed storage and retrieval policy in practical scenarios is small. Based on the CR policy, we model the stochastic behavior of the system using a semiopen queuing network (SOQN). This model can accurately estimate average tote throughput time and system throughput capacity as a function of the number of robots in the system. We use the SOQN and corresponding closed queuing network models to optimize the total annual cost as a function of the warehouse shape, the number of robots, and tote buffer positions on the robots for a given average tote throughput time and throughput capacity. Compared with robots that retrieve a single tote per trip, an MTSR system with at least five buffer positions can achieve lower operational costs while meeting given average tote throughput time and tote throughput capacity constraints. Funding: This work was supported by National Natural Science Foundation of China [Grant 72372088] and the Shenzhen Science and Technology Program [Grant GJHZ20220913143003006]. Supplemental Material: The online appendix is available at https://doi.org/10.1287/trsc.2023.0397 .
Analysis of a visible light communication system with QAM-OFDM modulated white LEDs using FSO
Authors: Vidhya J. , Vishnu R. P. , Britto E. C. 
Published: May 2024

The popularity of visible light communication (VLC) has increased recently because of the advancement of LEDs and the quantity of lighting bandwidth, which enables faster and more reliable transmission. High-speed transmission via LED networks is made possible by QAM-OFDM technology, which maximizes spectral efficiency and interference robustness to improve the VLC. For the proposed work, two OFDM modulation techniques (a PSK-OFDM and a QAM-OFDM with white LED, RZ/NRZ encoding schemes, and EDFA/SOA amplifiers) are used in the design of the VLC transmitter and receiver of the FSO channel. The design and investigation make use of the OptiSystem v21 simulation tool to assess the performance of the VLC system with an emphasis on the bit error rate, extinction ratio, and signal quality criteria. The results show that the QAM-OFDM with an RZ scheme and EDFA amplifier is the more competent than PSK-OFDM, with a Q factor of 3.94, a BER of 3.71∗10−5, and an extinction ratio of 10.18. The proposed network has a 10–60 Gbps data throughput limit and a 10 m link range in the presence of atmospheric conditions and noise effects.
Method for improving the positional accuracy in passive optical detection of space objects
Authors: Rosok Ranga , Bartels Nils , Riede Wolfgang , Vogel Moritz , Wagner Paul , Dekorsy Thomas 
Published: May 2024

The number of space objects, i.e., active satellites as well as space debris, is growing at an exponential rate. The management of congested space requires networks of sensors to detect and precisely measure the positions of objects in space. We describe a method that improves the positional accuracy of passive optical detection of space objects. The method is based on a laboratory sensor calibration, which is suitable for all types of cameras (CCD and CMOS cameras) and can easily be implemented for existing staring or tracking stations or even used with space-based passive optical sensors. The successful implementation of the method is demonstrated in a test campaign by measuring tracklets of several Earth-orbiting satellites with a ground-based staring system known as APPARILLO. In addition to its use in space object detection, we encourage that the presented method might also inspire other fields of research and technology, where images need to be acquired with precise timing.
Inverse design and optimization of a one-dimensional metagrating beam deflector by smart pattern search
Authors: Sabzevari Amin , Hatef Ali 
Published: May 2024

This work introduces a fast semi-analytical algorithm for the inverse design and optimization of a one-dimensional beam deflector metagrating, utilizing Smart Pattern Search (SPS), an enhanced pattern search algorithm from MATLAB’s Global Optimization Toolbox. This algorithm demonstrates a significantly shorter processing time compared to machine learning based approaches for the same metagrating structure setup, parameters, and electromagnetic solver while achieving highly competitive efficiencies. At a wavelength of 1100 nm with angles of 60° and 70°, SPS even outperforms these methods. The SPS algorithm needs no state-of-the-art computers and completes the process in less than 27 min, while for counterpart methods at least several hours are needed on an Intel Core i7-3632QM CPU at 2.2 GHz, with 8 GB of DDR3 RAM.
Trajectories of cognitive function among people aged 45 years and older living with diabetes in China: Results from a nationally representative longitudinal study (2011~2018)
Authors: Chen Shi , Ling Yuewei , Zhou Faquan , Qiao Xu , Reinhardt Jan D. 
Published: May 2024

Objectives
Diabetes is associated with decline of cognitive function. Exploring different trajectories of cognitive function occurring in people with diabetes is important to improved prognosis. This study aimed to investigate differential patterns of trajectories of cognitive function and baseline determinants of trajectory group membership utilizing data from middle-aged and older Chinese adults with diabetes.

Methods
Participants of the Chinese Health And Retirement Longitudinal Study (CHARLS) aged 45 years and above received biennial assessments between 2011 and 2018. The primary outcome was overall cognitive function score operationalized as sum of mental intactness and episodic memory scores derived from the Telephone Interview of Cognitive Status (TICS). A weighted growth mixture model was used to estimate cognitive function trajectories of CHARLS participants with diabetes, and baseline factors associated with trajectory group membership were investigated with weighted multinomial logistic regression.

Results
Data from 1,463 participants with diabetes aged 45 years and above were analyzed, a three-group trajectory model showed the best fit for overall cognitive scores: low baseline, linear declining (22.1%); moderate baseline, linear declining (37.5%) and high-stable (40.3%). Older participants, females, participants with low education, with nighttime sleep <6 h, without daytime napping habits, and with depressive symptoms were at a higher risk of unfavorable cognitive function trajectories.

Conclusions
We identified heterogeneous trajectories of cognitive function among middle-aged and older people living with diabetes in China. Socially vulnerable groups including females, rural residents, and those with low education were at a higher risk for unfavorable trajectories. In health programs aimed at preventing and mitigating cognitive decline in individuals with diabetes more attention should be given to vulnerable groups. Reduced nighttime sleep, lack of daytime napping, and depressive symptoms appear to be modifiable risk factors.
L’Italia che Guarda: Geografie del Consumo Audiovisivo, Giorgio Avezzù (2022)
Authors: Marlow-Mann Alex 
Published: May 2024

Review of: L’Italia che Guarda: Geografie del Consumo Audiovisivo, Giorgio Avezzù (2022)
Rome: Carocci Editore, 201 pp.,
ISBN 978-8-82901-536-8, p/bk, €25.00
Orienting Italy: China through the Lens of Italian Filmmakers, Mary Ann Mcdonald Carolan (2022)
Authors: Monserrati Michele 
Published: May 2024

Review of: Orienting Italy: China through the Lens of Italian Filmmakers, Mary Ann Mcdonald Carolan (2022)
Albany, NY: State University of New York Press, 184 pp.,
ISBN 978-1-43849-060-1, p/bk, $95
ISBN 978-1-43849-062-5, kindle
An Unexpected Discovery: Postmenopausal Pyloric Endometriosis
Authors: Minchenberg Scott B. , Burdine Lauren K. , Hecht Jonathan L. , Falchuk Kenneth R. , Wolf Jacqueline L. 
Published: May 2024

ABSTRACT
Endometriosis is a benign, estrogen-dependent condition, usually occurring in menstruating and, rarely, in postmenopausal women, in which endometrial glands and stroma grow ectopically outside the uterus. Most often, ectopic endometrial tissue is found within the pelvis and nearby structures. However, endometrial tissue within the upper gastrointestinal tract is very rare and can be a source of bleeding and abdominal pain. Here, we report a case of a 71-year-old postmenopausal woman with hematochezia and diffuse abdominal pain, who was found to have pyloric endometriosis, the pathogenesis of which we will briefly explore.
CLLT ‘versus’ Corpora and IJCL: a (half serious) keyness analysis
Authors: Wulff Stefanie , Gries Stefan Th. 
Published: May 2024

Abstract
In this introduction to the special issue celebrating CLLT’s 20th anniversary, we look back and forward in time. To look back, we present the results of a (tongue-in-cheek) corpus-linguistic analysis of about 10 years worth of data of research published in CLLT, IJCL, and Corpora in order to distill the “essence” of CLLT for the reader. As an added bonus, we use the opportunity to discuss ways to improve established ways of performing keyness analyses. To look forward, we asked six (teams of) researchers who all have shaped corpus linguistics and thus the journal to give us their take on what the most significant developments in the field have been, and where they see the most impactful opportunities and challenges arise. This introduction briefly summarizes their contributions.
Psychologism in the study of children’s semiotic development
Authors: Lenninger Sara 
Published: May 2024

Abstract
This essay discusses the notion of ‘semiotic development in child development’ and highlights potential concerns for ‘psychologism’ when semiotics turns into cognitive semiotics. The notion of ‘semiotic development in child development’ indicates a transdisciplinary approach involving both semiotics, the general study of meaning and signs, and child psychology. This, however, invites the criticism of committing the fallacy of psychologism. Piaget was aware of this dilemma when developing his theory of the semiotic function as a united capacity in children’s cognitive development. Sonesson’s proposal of a general definition of signs in meaning-making is suggested to, at some points, meet the dilemma with psychologism in studies of children’s semiotic development. Starting from a phenomenological point of view in semiotics and integrating Piaget’s theory on cognitive development and meaning-making meet the study of subjectivity in intersubjectivity. On the one hand, the sign as a theoretical object is not reducible to any given psychological process or processes; on the other hand, sign meaning can only exist if there are beings (consciousnesses) capable of grasping and using signs.
Real-time segmentation of short videos under VR technology in dynamic scenes
Authors: He Zichen , Li Danian 
Published: May 2024

Abstract
This work addresses the challenges of scene segmentation and low segmentation accuracy in short videos by employing virtual reality (VR) technology alongside a 3D DenseNet model for real-time segmentation in dynamic scenes. First, this work extracted short videos by frame and removed redundant background information. Then, the volume rendering algorithm in VR technology was used to reconstruct short videos in dynamic scenes in 3D. It enriched the detailed information of short videos, and finally used the 3D DenseNet model for real-time segmentation of short videos in dynamic scenes, improving the accuracy of segmentation. The experiment compared the performance of High resolution network, Mask region based convolutional neural network, 3D U-Net, Efficient neural network models on the Densely annotation video segmentation dataset. The experimental results showed that the segmentation accuracy of the 3D DenseNet model has reached 99.03%, which was 15.11% higher than that of the ENet model. The precision rate reached 98.33%, and the average segmentation time reached 0.64 s, improving the segmentation accuracy and precision rate. It can adapt to various scene situations and has strong robustness. The significance of this research lies in its innovative approach in tackling these issues. By integrating VR technology with advanced deep learning models, we can achieve more precise segmentation of dynamic scenes in short videos, enabling real-time processing. This has significant practical implications for fields such as video editing, VR applications, and intelligent surveillance. Furthermore, the outcomes of this research contribute to advancing computer vision in video processing, providing valuable insights for the development of future intelligent video processing systems.
Treatment modalities and outcomes in pediatric Cushing’s disease – report of three cases and literature review
Authors: Marques Viviana , Ferreira Sofia , Costa Carla , Castro-Correia Cíntia , Santos Silva Rita 
Published: May 2024

Abstract

Objectives
Cushing’s disease (CD) is a diagnostic and therapeutic challenge, especially in pediatric patients. CD, primarily caused by adrenocorticotropic hormone-secreting pituitary adenomas, manifests typically with growth retardation and weight gain. There are no published guidelines for pediatric patients.

Case presentation
We report three pediatric patients diagnosed with CD in a Portuguese tertiary hospital. All patients presented with hypercortisolism features. All patients underwent transsphenoidal pituitary surgery (TSS) as a first-choice treatment; however, it was unsuccessful in one patient and the other patients experienced recurrence. Patients were submitted to different approaches so basal serum cortisol levels could be achieved. Two of three patients achieved remission.

Conclusions
TSS remains the first-line treatment yet challenging due to microadenomas and technical complexities. Medical therapy with agents like metyrapone or ketoconazole, pituitary radiotherapy, or bilateral adrenalectomy are, usually, second-line interventions, unless there is a contraindication to surgery. Our findings support the finding that a shorter hypothalamic–pituitary–adrenal axis recovery time increases the risk of recurrence of CD. Our cases illustrate the intricate management and variable outcomes of pediatric CD, underscoring the importance of multidisciplinary care and continuous surveillance.
Optimal design of structural engineering components using artificial neural network-assisted crayfish algorithm
Authors: Sait Sadiq M. , Mehta Pranav , Yıldız Ali Rıza , Yıldız Betül Sultan 
Published: May 2024

Abstract
Optimization techniques play a pivotal role in enhancing the performance of engineering components across various real-world applications. Traditional optimization methods are often augmented with exploitation-boosting techniques due to their inherent limitations. Recently, nature-inspired algorithms, known as metaheuristics (MHs), have emerged as efficient tools for solving complex optimization problems. However, these algorithms face challenges such as imbalance between exploration and exploitation phases, slow convergence, and local optima. Modifications incorporating oppositional techniques, hybridization, chaotic maps, and levy flights have been introduced to address these issues. This article explores the application of the recently developed crayfish optimization algorithm (COA), assisted by artificial neural networks (ANN), for engineering design optimization. The COA, inspired by crayfish foraging and migration behaviors, incorporates temperature-dependent strategies to balance exploration and exploitation phases. Additionally, ANN augmentation enhances the algorithm’s performance and accuracy. The COA method optimizes various engineering components, including cantilever beams, hydrostatic thrust bearings, three-bar trusses, diaphragm springs, and vehicle suspension systems. Results demonstrate the effectiveness of the COA in achieving superior optimization solutions compared to other algorithms, emphasizing its potential for diverse engineering applications.
Beneficial effect of 4% Ta addition on the corrosion mitigation of Ti–12% Zr alloy after different immersion times in 3.5% NaCl solutions
Authors: Sherif El-Sayed M. 
Published: May 2024

Abstract
The recent study reports the fabrication and corrosion behavior of two Ti alloys, 88% Ti–12% Zr and 84% Ti–12% Zr–4% Ta, in 3.5% NaCl electrolyte. These alloys were manufactured using powder metallurgy, where the powders were mixed, ball milled, and sintered. The corrosion behavior of these alloys was examined using various electrochemical and spectroscopic tests. Cyclic polarization experiments indicated that adding 4% Ta reduces corrosion of the TiZr alloy by suppressing anodic dissolution, resulting in a lower corrosion rate. The Nyquist and Bode impedance spectra for the tested alloys revealed that the presence of 4% Ta within TiZr alloy highly decreases the corrosion by increasing the impedance of the interface, the maximum degree of phase angle, and polarization resistance. The chronoamperometric current measured at −0.10 V (Ag/AgCl) proved that the presence of 4% Ta powerfully alleviates both uniform and pitting corrosion for TiZr alloy by lowering the obtained absolute currents. The surface investigation using scanning electron microscopy confirmed the homogeneity of the surfaces. The elemental analysis performed on the surface using energy dispersive spectroscopy revealed that the surface of TiZr alloy forms a top film including different oxides such as TiO2 and ZrO2, and for TiZrTa alloy, the surface has TiO2 + ZrO2 plus TaO2. Experiments demonstrated that Ta has the ability to increase the corrosion passivation of TiZr alloy.
Differential effects of choline on TLR2/4 mediated signaling through possible regulation of Toll-interacting protein in hepatocellular carcinoma cell lines
Authors: Baris Elif , Demir Ayse Banu 
Published: May 2024

Abstract

Objectives
Toll-like receptor (TLR) mediated inflammatory status plays an important role in development and progression of hepatocellular carcinoma (HCC). Toll-interacting protein (TOLLIP) has an inhibitory effect on TLR-mediated inflammatory signalling and expression profile of TOLLIP varies between malignancies including HCC. Cholinergic anti-inflammatory pathway (CAP) is an endogenous mechanism that controls inflammatory status via α7nicotinic acetylcholine receptors (α7nAChR). This study aims to investigate the effect of CAP-acting agent choline on TOLLIP and its related TLR-mediated inflammatory response in HCC cells with distinct differentiation stages.

Methods
The expression patterns of α7nAChR, TLR2/4, TOLLIP, IL6, NFkB genes were evaluated by RT-PCR and ELISA in the presence of choline, along with the real-time cell proliferation and migration in HEP3B and SNU449 HCC cell lines. The interaction between choline and TOLLIP assessed by using in-silico analyses.

Results
Choline downregulated TOLLIP in Hep3B and SNU449 cells. However, the expressions of α7nAChR, NF-κB, IL-6, TLR2 and TLR4 showed a decreased pattern in well differentiated HEP3B cells, while an increased pattern in poorly differentiated SNU449 cells.

Conclusions
Choline might exert differential effects in TLR2/4-dependent signalling based on the differentiation stages of the HCC cells, suggesting its potential therapeutic effects in earlier stages of HCC which might be result of its partial modulation of TOLLIP.
Divine Roots: The Etymology of Thoth
Authors: Cooper Julien 
Published: May 2024

Summary
The names of gods are an important expression of the Egyptian experience of the divine. Understanding the etymology of divine names can give us insights into the conceptions of the oldest adherents of religious cults, allowing us to appreciate of the essence of the original deity. This analysis will propose an etymology for the name of the god Thoth and situate the god’s name in its proper lexical and theological context, relating the divine name Ḏḥw.ty to an Old Egyptian root for ‘bright’ or ‘white’ and thus lunar concepts. This etymology not only satisfactorily explains the lexical root and theology of Thoth but is also consistent with other patterns in Egyptian divine epithets and names. Using cognates from Afroasiatic languages, the analysis proves that there once existed an ancient lexical root ḏḥ(w) in Old Egyptian or ‘Pre-Old Egyptian’. This root also explains various other nouns in Egyptian such as a type of linen (ḏḥ), the metallic substances of tin (ḏḥ) and lead (ḏḥ.ty), as well as a word for ‘teeth’ (nḏḥ.yt). This analysis demonstrates that some gods’ names are to be found in lexical roots which become unproductive in later stages of the Egyptian lexicon.
Physiological and Locomotor Profiling Enables to Differentiate Between Sprinters, 400-m Runners, and Middle-Distance Runners
Authors: Thron Maximiliane , Woll Alexander , Doller Lukas , Quittmann Oliver Jan , Härtel Sascha , Ruf Ludwig , Altmann Stefan 
Published: May 2024

Abstract
Thron, M, Woll, A, Doller, L, Quittmann, OJ, Härtel, S, Ruf, L, and Altmann, S. Physiological and locomotor profiling enables to differentiate between sprinters, 400-m runners, and middle-distance runners. J Strength Cond Res 38(8): 1419–1427, 2024—Different approaches exist for characterizing athletes, e.g., physiological and locomotor profiling. The aims of this study were to generate and compare physiological and locomotor profiles of male and female runners and to evaluate relationships between the different approaches. Thirty-four highly trained adolescent and young adult female and male athletes (n = 11 sprinters; n = 11,400-m runners; n = 12 middle-distance runners) performed two 100-m sprints on a running track to determine maximal sprinting speed (MSS) and maximal lactate accumulation rate (ċLamax). A cardiopulmonary exercise test was performed on a treadmill to determine maximal aerobic speed (MAS) and maximal oxygen uptake (V̇o
2max). Anaerobic speed reserve (ASR) was calculated as the difference between MSS and MAS. Group comparisons were conducted with a 2-way ANOVA (discipline × sex; p < 0.05) and Bonferroni post hoc tests and Cohen's d as effect size. Parameters were correlated by Pearson's correlation coefficients. Maximal aerobic speed and V̇o
2max were higher in 400-m and middle-distance runners compared with sprinters (p ≤ 0.02; −2.24 ≤ d ≤ −1.29). Maximal sprinting speed and ċLamax were higher in sprinters and 400-m runners compared with middle-distance runners (0.03 ≤ p ≤ 0.28; 0.73 ≤ d ≤ 1.23). Anaerobic speed reserve was highest in sprinters and lowest in middle-distance runners (p ≤ 0.03; 1.24 ≤ d ≤ 2.79). High correlations were found between ASR and MAS, MSS, and ċLamax (p < 0.01; −0.55 ≤ r ≤ 0.91) and between ċLamax and MSS (p < 0.01; r = 0.74). Our results indicate that athletes of different sprinting and running disciplines show differing physiological and locomotor profiles, and that the parameters of these approaches are related to each other. This can be of interest for assessing strengths and weaknesses (e.g., for talent identification) or training prescription in these disciplines.