bluuebunny/crossref_metadata_2025_split huggingface dataset:
Gender identification of the horsehair crab, Erimacrus isenbeckii (Brandt, 1848), by image recognition with a deep neural network
Authors: Ueki Yoshitaka , Toyota Kenji , Ohira Tsuyoshi , Takeuchi Ken , Satake Shin-ichi 
Published: November 2023

AbstractAppearance-based gender identification of the horsehair crab [Erimacrus isenbeckii (Brandt, 1848)] is important for preventing indiscriminate fishing of female crabs. Although their gender is easily identified by visual observation of their abdomen because of a difference in the forms of their sex organs, most of the crabs settle with their shell side upward when placed on a floor, making visual gender identification difficult. Our objective is to use deep learning to identify the gender of the horsehair crab on the basis of images of their shell and abdomen sides. Deep learning was applied to a photograph of 60 males and 60 females captured in Funka Bay, Southern Hokkaido, Japan. The deep learning algorithms used the AlexNet, VGG-16, and ResNet-50 convolutional neural networks. The VGG-16 network achieved high accuracy. Heatmaps were enhanced near the forms of the sex organs in the abdomen side (F-1 measure: 98%). The bottom of the shell was enhanced in the heatmap of a male; by contrast, the upper part of the shell was enhanced in the heatmap of a female (F-1 measure: 95%). The image recognition of the shell side based on a deep learning algorithm enabled more precise gender identification than could be achieved by human-eye inspection.
Encapsulating commercial accelerometers with epoxy and fluoroelastomer for harsh hydrocarbon fluid environment
Authors: Wankhede Sahil P. , Du Xian , Brashler Keith W. , Ba’adani Mohammad M. , Turcan Doru C. , Shehri Ali H. , Youcef-Toumi Kamal 
Published: November 2023

AbstractTraditionally, in the oil and gas industry, accelerometers are mounted externally on motors for condition monitoring of vertically suspended, closed suction hydrocarbon pumps due to their inability to withstand harsh downhole environments, preventing the detection of impeller failures. This study addresses the need for encapsulation solutions for accelerometers submerged in hydrocarbon fluid environments. It evaluates the feasibility of epoxy and fluoroelastomer as encapsulation materials for long-term immersion in high-temperature hydrocarbon fluid and determines their impact on the accelerometer's performance. Extensive testing involved submersion in high-temperature hydrocarbon fluid at 150 °C for over 10,000 h and six months in brine. Material characterization, including mass variation, microscopic imaging, and FTIR spectroscopy, revealed negligible degradation. Encapsulated accelerometers effectively detected vibrations with an acceptable alteration in amplitude. In comparison with commercial alternatives, our encapsulation outperformed them. While oil traces became evident within just 24 h in the alternatives, our solution exhibited no signs of leakage. This research pioneers a novel packaging solution employing epoxy and fluoroelastomer for side-exit commercial sensors tailored for high-temperature hydrocarbon fluid applications, addressing a critical gap in the industry. Our work enhances reliability and safety for vertical oil pump condition monitoring in downhole applications, benefiting the oil and gas sector.
DVNE-DRL: dynamic virtual network embedding algorithm based on deep reinforcement learning
Authors: Xiao Xiancui 
Published: November 2023

AbstractVirtual network embedding (VNE), as the key challenge of network resource management technology, lies in the contradiction between online embedding decision and pursuing long-term average revenue goals. Most of the previous work ignored the dynamics in Virtual Network (VN) modeling, or could not automatically detect the complex and time-varying network state to provide a reasonable network embedding scheme. In view of this, we model a network embedding framework where the topology and resource allocation change dynamically with the number of network users and workload, and then introduce a deep reinforcement learning method to solve the VNE problem. Further, a dynamic virtual network embedding algorithm based on Deep Reinforcement Learning (DRL), named DVNE-DRL, is proposed. In DVNE-DRL, VNE is modeled as a Markov Decision Process (MDP), and then deep learning is introduced to perceive the current network state through historical data and embedded knowledge, while utilizing reinforcement learning decision-making capabilities to implement the network embedding process. In addition, we improve the method of feature extraction and matrix optimization, and consider the characteristics of virtual network and physical network together to alleviate the problem of redundancy and slow convergence. The simulation results show that compared with the existing advanced algorithms, the acceptance rate and average revenue of DVNE-DRL are increased by about 25% and 35%, respectively.
A glutamate-gated chloride channel as the mite-specific target-site of dicofol and other diphenylcarbinol acaricides
Authors: Vandenhole Marilou , Mermans Catherine , De Beer Berdien , Xue Wenxin , Zhao Yilan , Ozoe Yoshihisa , Liu Genyan , Dermauw Wannes , Van Leeuwen Thomas 
Published: November 2023

AbstractDicofol has been widely used to control phytophagous mites. Although dicofol is chemically related to DDT, its mode of action has remained elusive. Here, we mapped dicofol resistance in the spider mite Tetranychus urticae to two genomic regions. Each region harbored a glutamate-gated chloride channel (GluCl) gene that contained a mutation—G314D or G326E—known to confer resistance against the unrelated acaricide abamectin. Using electrophysiology assays we showed that dicofol and other diphenylcarbinol acaricides—bromopropylate and chlorobenzilate—induce persistent currents in Xenopus oocytes expressing wild-type T. urticae GluCl3 receptors and potentiate glutamate responses. In contrast, the G326E substitution abolished the agonistic activity of all three compounds. Assays with the wild-type Drosophila GluClα revealed that this receptor was unresponsive to dicofol. Homology modeling combined with ligand-docking confirmed the specificity of electrophysiology assays. Altogether, this work elucidates the mode of action of diphenylcarbinols as mite-specific agonists of GluCl.
SMN deficiency perturbs monoamine neurotransmitter metabolism in spinal muscular atrophy
Authors: Valsecchi Valeria , Errico Francesco , Bassareo Valentina , Marino Carmen , Nuzzo Tommaso , Brancaccio Paola , Laudati Giusy , Casamassa Antonella , Grimaldi Manuela , D’Amico Adele , Carta Manolo , Bertini Enrico , Pignataro Giuseppe , D’Ursi Anna Maria , Usiello Alessandro 
Published: November 2023

AbstractBeyond motor neuron degeneration, homozygous mutations in thesurvival motor neuron 1(SMN1) gene cause multiorgan and metabolic defects in patients with spinal muscular atrophy (SMA). However, the precise biochemical features of these alterations and the age of onset in the brain and peripheral organs remain unclear. Using untargeted NMR-based metabolomics in SMA mice, we identify cerebral and hepatic abnormalities related to energy homeostasis pathways and amino acid metabolism, emerging already at postnatal day 3 (P3) in the liver. Through HPLC, we find that SMN deficiency induces a drop in cerebral norepinephrine levels in overt symptomatic SMA mice at P11, affecting the mRNA and protein expression of key genes regulating monoamine metabolism, including aromatic L-amino acid decarboxylase (AADC), dopamine beta-hydroxylase (DβH) and monoamine oxidase A (MAO-A). In support of the translational value of our preclinical observations, we also discovered that SMN upregulation increases cerebrospinal fluid norepinephrine concentration in Nusinersen-treated SMA1 patients. Our findings highlight a previously unrecognized harmful influence of low SMN levels on the expression of critical enzymes involved in monoamine metabolism, suggesting that SMN-inducing therapies may modulate catecholamine neurotransmission. These results may also be relevant for setting therapeutic approaches to counteract peripheral metabolic defects in SMA.
BICEPS: An improved characterization model for low- and intermediate-mass exoplanets
Authors: Haldemann Jonas , Dorn Caroline , Venturini Julia , Alibert Yann , Benz Willy 
Published: November 2023

Context.The number of exoplanets with precise mass and radius measurements is constantly increasing thanks to novel ground- and space-based facilities such as HARPS, ESPRESSO, CHEOPS, and TESS. The accuracy and robustness of the planetary characterization largely depends on the quality of the data, but also requires a planetary structure model, capable of accurately modeling the interior and atmospheres of exoplanets over a large range of boundary conditions.Aims.Our goal is to provide an improved characterization model for planets with masses between 0.5 and 30 Earth masses, equilibrium temperatures below <2000 K, and a wide range of planetary compositions and physical phases.Methods.In this work, we present the Bayesian Interior Characterization of ExoPlanetS (BICEPS) model, which combines an adaptive Markov chain Monte Carlo sampling method with a state-of-the-art planetary structure model. BICEPS incorporates many recently developed equations of state suited for large ranges of pressures and temperatures, a description for solid and molten planetary cores and mantles, a gaseous envelope composed of hydrogen, helium, and water (with compositional gradients), and a non-gray atmospheric model.Results.We find that the usage of updated equations of state has a significant impact on the interior structure prediction. The impact varies, depending on the planetary composition. For dense rocky planets, BICEPS predicts radii a few percent different to prior internal structure models. For volatile rich planets, we find differences of 10% or even larger. When applying BICEPS to a particular exoplanet, TOI-130 b, we inferred a 25% larger water mass fraction and a 15% smaller core than previous models.Conclusions.The presented exoplanet characterization model is a robust method applicable over a large range of planetary masses, compositions, and thermal boundary conditions. We show the importance of implementing state-of-the-art equations of state for the encountered thermodynamic conditions of exoplanets. Hence, using BICEPS improves the predictive strength of the characterization process compared to previous methods.
A3COSMOS: Dissecting the gas content of star-forming galaxies across the main sequence at 1.2 ≤ z < 1.6
Authors: Wang Tsan-Ming , Magnelli Benjamin , Schinnerer Eva , Liu Daizhong , Jiménez-Andrade Eric Faustino , Karoumpis Christos , Adscheid Sylvia , Bertoldi Frank 
Published: November 2023

Aims. We aim to understand the physical mechanisms that drive star formation in a sample of mass-complete (>109.5 M⊙) star-forming galaxies (SFGs) at 1.2 ≤ ɀ < 1.6.
Methods. We selected SFGs from the COSMOS2020 catalog and applied a uυ-domain stacking analysis to their archival Atacama Large Millimeter/submillimeter Array (ALMA) data. Our stacking analysis provides precise measurements of the mean molecular gas mass and size of SFGs down to a stellar mass of M★ ~ 109.5 M⊙, even though at these stellar mass galaxies on the main sequence (MS) are no longer detected individually in the archival ALMA data. We also applied an image-domain stacking analysis on their HST i-band and UltraVISTA J - and Ks-band images. This allowed us to trace the distribution of their stellar component. Correcting these rest-frame optical sizes using the Rhalf–stellar–light-to-Rhalf–stellar–mass conversion at rest 5000 Å, we obtain the stellar mass size of MS galaxies and compare them to the sizes of their star-forming component obtained from our ALMA stacking analysis.
Results. Across the MS (−0.2 < ∆MS = log(SFR/SFRMS) < 0.2), the mean molecular gas fraction of SFGs increases by a factor of ~1.4, while their mean molecular gas depletion time decreases by a factor of ~1.8. The scatter of the MS could thus be caused by variations in both the star formation efficiency and molecular gas fraction of galaxies. The mean molecular gas fraction of MS galaxies decreases by a factor of ~7 from M★~ 109.7 M⊙ to ~1011.3 M⊙, while their mean molecular gas depletion time remains roughly the same at all stellar masses. This finding could be a hint that the bending of the MS at ɀ ~1.4 is primarily driven by variations in cold gas accretion. The majority of the galaxies lying on the MS have RFIR ≈ Rstellar. Their central regions are subject to large dust attenuation. Starbursts (SBs, ∆MS > 0.7) have a mean molecular gas fraction ~2.1 times larger and mean molecular gas depletion time ~3.3 times shorter than MS galaxies. Additionally, they have more compact star-forming regions (~2.5 kpc for MS galaxies vs. ~1.4 kpc for SBs) and systematically disturbed rest-frame optical morphologies, which is consistent with their association with major-mergers. SBs and MS galaxies follow the same relation between their molecular gas mass and star formation rate surface densities with a slope of ~ 1.1–1.2, that is, the so-called Kennicutt-Schmidt relation.
Die sonografische Darstellung des Magens beim Warmblutpferd bei
unterschiedlichen Füllungszuständen
Authors: Daniel Julia , Arnold Corinna , Winter Karsten , Scharner Doreen 
Published: November 2023

Zusammenfassung
Gegenstand und Ziel Ziel der Studie war zu klären, inwieweit sich
die sonografische Darstellung des Magens in Abhängigkeit vom
Füllungszustand ändert.
Material und Methoden In einer prospektiven kontrollierten Studie wurden
Warmblutpferde, die zur Gastroskopie vorgestellt wurden, sonografisch beurteilt.
Die Untersuchungen fanden im gefütterten Zustand (Messung 1), nach 12
Stunden Nahrungsentzug (Messung 2), nach Luftinsufflation während der
Gastroskopie (Messung 3) und nach dem Absaugen der Luft aus dem Magen zum Ende
der gastroskopischen Untersuchung (Messung 4) statt. Folgende objektive
Parameter wurden erfasst: Anzahl der Interkostalräume (kraniokaudale
Ausdehnung) und Ermittlung, in welchen Interkostalräumen der Magen
sonografisch darstellbar war, maximale dorsale Ausdehnung des Magens,
sonografischer Abstand zwischen Hautoberfläche und Magenwand.
Ergebnisse Die Anzahl der Interkostalräume, in denen der Magen
sonografisch darstellbar war, betrug für die Messungen 1, 2, 3
(n=32) und 4 (n=15) im Median 7,5 (IQR 3,75), 1,0 (IQR 1,0), 7,0
(IQR 2,0) und 2,0 (IQR 1,0). Die Unterschiede waren zwischen den Messungen 1 und
2 sowie zwischen den Messungen 2 und 3 signifikant. Zwischen den Messungen 1 und
3 bestand kein signifikanter Unterschied. Nach 12-stündigem
Nahrungsentzug reduzierte sich die Magengröße gemessen an der
Anzahl der Interkostalräume um 75 %. Die maximale dorsale
Ausdehnung des Magens betrug für die Messungen 1, 2, 3 (n=32)
und 4 (n=15) im Median 38 cm (IQR 15,25), 13 cm (IQR 6,75), 43 cm (IQR
7,00) und 21 cm (IQR 8,00). Die Unterschiede waren zwischen den Messungen 1 und
2 sowie 2 und 3 signifikant. Für den Abstand zwischen Haut und Magenwand
wurden für die Messungen 1, 2, 3 (n=32) und 4 (n=15)
folgende Mediane ermittelt: 5,8 cm (IQR 2,27), 4,05 cm (IQR 3,05), 4,8 cm (IQR
1,48) und 5,9 cm (IQR 2,90). Hier bestand lediglich zwischen den Messungen 1 und
3 ein signifikanter Unterschied.
Schlussfolgerungen und klinische Relevanz Das sonografische
Erscheinungsbild des Magens verändert sich entsprechend des
Füllungszustandes. Leicht zu bestimmende Parameter sind die
kraniokaudale und maximale dorsale Ausdehnung sowie der Abstand zwischen Haut
und Magenwand.
Organization and planning of university faculty training in virtual classrooms for the inclusion of people with disabilities
Authors: Aceituno-Aceituno Pedro , Madrigal-Barrón Patricia , Vázquez-López Susana , García-Barrera Alba 
Published: November 2023

AbstractDespite the proliferation of conventions, declarations, and recommendations for inclusive education, many students with disabilities do not complete their university studies. To overcome this situation, university faculty must have skills in inclusion and motivation, but the training of teachers in these subjects is still limited. For all these reasons, this work conveys a basic training proposal -adjusted to the teacher’s reality- to improve the organization and planning of this training. With this training proposal, this study aims to answer how training can facilitate online university teachers to acquire knowledge to improve their skills and motivation in students with disabilities inclusion. For this purpose, qualitative research has been carried out based on the responses to an open-ended questionnaire by 20 expert teachers in online university training who have received and evaluated this training. Although the results have shown that the proposed online training of university teachers may be effective in improving their competencies and motivation in the inclusion of students with disabilities, they still need some improvement -according to the suggestions made by the teachers participating in the study-. Most of these suggestions made by high-level teachers especially recommended the ones related to conceptual clarification, presentation of case studies or examples, and description of actions in the didactic field.
Lexico-semantic stability in the anatomical domain in the Mayan language family
Authors: Mora-Marín David F. , Fletcher Megan , Gorman Elizabeth 
Published: November 2023

Abstract
This paper deals with lexico-semantic stability, specifically in the anatomical domain. The main goal is to
develop a method for measuring semantic polysemy and shift, in order to address: (1) the validity of standardized vocabulary lists
(e.g., Swadesh 1950, 1952, 1955; Holman et al. 2008; Haspelmath & Tadmor 2009a, 2009b) for
investigating cross-linguistic stability; and (2) the difference between basic and stable vocabulary (Ratliff 2006; Matisoff 2009), and its implications for
studying remote relationships between language families, on the one hand, and subgroup differentiation within language families,
on the other. To study these problems, a total of 50 etyma from the anatomical domain were selected from the Preliminary
Etymological Mayan Database (Kaufman with Justeson 2003), and these were then
classified employing the novel metric, and further analyzed by means of statistical methods. The results point to: (1) no specific
correlation with the stability rankings of the Swadesh and Leipzig-Jakarta lists; (2) support for the “basicness” of etyma from
the anatomical domain; (3) several significant relationships between stability and polysemy scores and independent variables
relevant to the anatomical domain; (4) evidence of lexico-semantic stability score affinities between Mayan subgroups; and (5)
evidence supporting the utility of polysemies to investigate subgrouping and language contact. The paper also offers conclusions
and areas for further research.
A deterministic approach to investigate nonlinear evolution equations for large balance numbers
Authors: Akbar M Ali , Islam Md Ekramul , Berna Benli Fatma , Alp İlhan Onur 
Published: November 2023

Abstract
When the balance number is greater than one, the modified simple equation (MSE) method typically fails to yield analytical wave solutions for nonlinear evolution equations (NLEEs) that appear in engineering and mathematical physics. We have addressed this shortcoming in this article and established a technique to implement the MSE approach to investigate NLEEs for balancing number two. Two NLEEs, namely, the regularized long wave and the Jimbo-Miwa equations, have been investigated in order to affirm the approach. Through this method, we found further generic wave solutions related to physical parameters, and when the parameters receive particular values, solitons emerge from the exact solutions. Graphs are used to investigate the solitary wave features of the attained solution functions, which illustrate the usefulness, validity, and compatibility of the scheme.
Multi-ring julia fractal chaotic systems with separated scrolls and nested scrolls
Authors: Yan Dengwei , Yang Wen , Duan Shukai , Wang Lidan 
Published: November 2023

Abstract
Chaos and fractals are two branches of nonlinear science. However, few scholars have combined chaos and fractals for generating chaotic attractors with different topologies. The main goal of this paper is to combine fractals and chaos to generate separated multi-scroll attractors and nested multi-scroll attractors, as well as to compensate for the lack of randomness and complexity of general chaotic systems. Combining chaotic attractors with two different fractal processes, a class of multi-scroll chaotic attractors with different behaviors are generated, including multi-ring attractors, separated multi-ring attractors, and nested multi-ring attractors. The experiments of spectral entropy (SE) complexity indicates that the proposed multi-ring fractal systems have higher complexity than other chaotic systems. Furthermore, from the perspective of engineering applications, the random performance of one of the multi-ring fractal systems is tested by the NIST test suite. The results demonstrate that the multi-ring fractal system has promising randomness and is well-suited for image encryption applications. Finally, the numerical simulation results are well illustrated by the micro-controller unit (MCU) hardware experiments, which reveal the feasibility of the designed multi-ring attractors, separated multi-ring attractors, and nested attractors.
Role of walnut ac-based Si-ZrO2: investigation of rietveld refinement, optical and electrochemical properties for pseudo-capacitor applications
Authors: Mansoor Anam , Anjum Safia , Awan Saifullah , Mustafa Zeeshan , Khurram Rabia , Sattar Mehwish , Ilayas Tafruj 
Published: November 2023

Abstract
In this current project, silicon substituted zirconia matrixes with the general formula of SixZr(1-x)O2 at x = 0.1–0.6, step size 0.1 have been fabricated through powder metallurgy route. All the samples have been sintered at 1200 °C for four hours in an air furnace. The structural, refinement, 3-dimensional view, functional groups, optical and electrochemical properties have been investigated using x-ray diffractometer (XRD), Rietveld refinement, diamond and Vista software, Fourier Infrared spectroscopy (FTIR), Diffuse reflectance spectroscopy (DRS), and Cyclic voltametric (CV) respectively. The XRD and Rietveld refinement exhibit sharp peaks which are matched with JCPD card no 07-0343, the single monoclinic phase is achieved in all samples. The goodness of fit clarifies the proper growth of the crystal. Furthermore, the theoretical evaluation is cross-matched with refinement data. The ATR-FTIR analysis indicates the characteristic bands of monoclinic zirconia. Due to the creation of active sites on the electrode surface, the average surface area of these oxides as determined by SEM is in the range of 58–63 m2 g−1. The lowest band gap and higher ionic conductivity values reveal the higher compatibility rate of charge carriers. The maximum specific capacitance (Csp) obtained from CV, GCD, and EIS analyses using walnut shell a.c is 903.1 A g−1, which are excellent materials for pseudocapacitive electrodes.