bluuebunny/crossref_metadata_2025_split huggingface dataset:
Image processing and artificial neural network based determination of surface mean texture depth on lab-controlled chip seal pavement samples
Authors: GÖKALP İslam , UZ Volkan Emre , BARSTUĞAN Mücahid , BALCI Mehmet Can 
Published: November 2024

AbstractBecause surface texture is nearly the sole indicator of pavement functional properties and highly correlated with critical operational characteristics of roadways like traffic noise and safety, the change in pavement surface texture because of traffic loadings and environment has to be evaluated routinely. There are numerous direct or indirect evaluation techniques in the market. However, most of these methods have some limitations like requiring lane closure or being expensive. In this study, a 2D image processing method was established to estimate the surface mean texture depth (MTD) of chip sealed pavements. We produced chip sealed pavement samples in the laboratory with different aggregate type, shape, and size ranging between 2 and 19 mm to cover wide range of live conditions. Two well-known conventional test methods, Sand Patch (SP) and Hydrotimer (HT), were used to determine MTDs of chip seal samples. Subsequently numerous photos were taken on surface of the samples with a camera for 2-D image processing that was done based on surface void ratio (SVR) approach. With the image processing, SVR of all samples were determined. At the point of whether there is a relationship or not, correlation analysis was made between the MTDs obtained with SP and HT and the data obtained by SVR approach with the artificial neural network method. The results show that the proposed SVR approach construed on 2D image processing method can be a reliable alternative to evaluate the surface texture of pavements.
Investigating the effects of make-up water dilution and oil presence on polymer retention in carbonate reservoirs
Authors: Sebastian Anoo , Mushtaq Muhammad , Al-Shalabi Emad Walid , AlAmeri Waleed , Mohanty Kishore , Masalmeh Shehadeh , AlSumaiti Ali M. 
Published: November 2024

AbstractThe application of polymer flooding is challenging in harsh temperature and salinity conditions in Middle-Eastern carbonate reservoirs, as they can deteriorate the commonly used polymers such as Hydrolyzed Polyacrylamide (HPAM). One solution to this issue is the use of newly developed Acrylamido-Tertiary-Butyl Sulfonate (ATBS) based polymers, which can endure adverse temperature and salinity conditions. However, they also tend to adsorb onto carbonate rocks with positive surface charge. This study aims to tackle the problem of high polymer retention by employing low-salinity polymer flooding. For that coreflooding experiments were conducted on an ATBS-based polymer in salinities ranging from 400 to 167,000 ppm using fully water-saturated cores and cores at residual oil saturation (Sor). The single-phase retention experiments determined polymer retention values of around 25 µg/g-rock when using diluted brines, which is about half of the retention values (47–56 µg/g-rock) observed with high salinity seawater (43,000 ppm) and formation water (167,000 ppm). Furthermore, the retention of the ATBS-based polymer was further reduced by 50% in the presence of oil compared to the experiments conducted in the absence of oil. The results demonstrated that an optimal salinity threshold of 10,000 ppm and lower yields significant improvements in the efficiency of polymer flooding.
Development of optimal real‐time metro operation strategy minimizing total passenger travel time and train energy consumption
Authors: Oh Yoonseok , Kwak Ho‐Chan , Kang Seungmo 
Published: November 2024

AbstractThe optimization of the total passenger travel time and total train energy consumption are critical factors in metro operation optimization. However, deriving an optimal train operation plan that incorporates both passenger travel time and total train energy consumption is a complex task because it should consider numerous variables representing the operational status of the urban railway, such as the number of boarding and alighting passengers, number of on‐board passengers in each train, and entire train operation status along the line. Moreover, owing to the fluctuating nature of passenger demand, which can change rapidly over time, its optimization becomes challenging. To address this challenge, this study develops a recurrent neural network‐based real‐time metro operation optimization model trained using data representing the moments when the trains departed from the stations. These data are derived and reconstructed from various simulated operation plans while searching for optimal daily metro timetable. Consequently, the proposed model derives the real‐time optimal operation strategies for trains departing from the next station within an average of 0.18 s. The result of metro operation simulations using proposed optimal operation strategies reveals a 7–14% improvement in efficiency compared to the current train operation strategies.
Optimal capacity configuration of joint system considering uncertainty of wind and photovoltaic power and demand response
Authors: Luo Yuanxiang , Hao Haixin , Fan Lidong 
Published: November 2024

AbstractTo reduce phenomenon of abandoning wind and photovoltaic power, improve the limitations of traditional methods in dealing with uncertainty of wind and photovoltaic power and system planning, and improve the optimal configuration of resources, an optimal capacity configuration of joint system considering uncertainty of wind and photovoltaic power and demand response is proposed. Firstly, using probability distribution information of wind and photovoltaic power output, the distance between actual probability distribution and forecast probability distribution is constrained based on the 1‐norm and ∞‐norm. A fuzzy set considering uncertainty probability distribution is constructed, and a two‐stage distributed robust planning model is established. The first stage involves optimizing joint system capacity for scenarios with the lowest probability of wind and photovoltaic power; the second stage builds on capacity optimization scheme from the first stage and aims to minimize operating costs through simulation optimization. Secondly, column and constraint generation is used to solve the model. Finally, constructing an example based on actual data from a power grid in Northeast China for simulation and analysis, the results show that the method achieves a balanced optimization of robustness and economy, effectively reduces carbon emissions and improves ability of the system to consume wind and photovoltaic power.
siRNAEfficacyDB: An experimentally supported small interfering RNA efficacy database
Authors: Zhang Yang , Yang Ting , Yang Yu , Xu Dongsheng , Hu Yucheng , Zhang Shuo , Luo Nanchao , Ning Lin , Ren Liping 
Published: November 2024

AbstractSmall interfering RNA (siRNA) has revolutionised biomedical research and drug development through precise post‐transcriptional gene silencing technology. Despite its immense potential, siRNA therapy still faces technical challenges, such as delivery efficiency, targeting specificity, and molecular stability. To address these challenges and facilitate siRNA drug development, we have developed siRNAEfficacyDB, a comprehensive database that integrates experimentally validated siRNA efficacy data. This database contains 3544 siRNA records, covering 42 target genes and 5 cell lines. It provides detailed information on siRNA sequences, target genes, inhibition efficiencies, experimental techniques, cell lines, siRNA concentrations, and incubation times. siRNAEfficacyDB offers a user‐friendly web interface that makes it easy to query, browse and analyse data, enabling efficient access to siRNA‐related information. In summary, siRNAEfficacyDB provides a useful data foundation for siRNA drug design and optimisation, serving as a valuable resource for advancing computer‐aided siRNA design research and nucleic acid drug development. siRNAEfficacyDB is freely available at https://cellknowledge.com.cn/siRNAEfficacy for non‐commercial use.
Immunhämatologische Interferenz im Verlauf einer
Anti-CD47-Antikörpertherapie
Authors: Habicht Cora P. , Hervatin Rafaela , Grüger Daniela , Immenschuh Stephan , Adolph Svenja , Schneeweiß Clemens 
Published: November 2024

ZusammenfassungEine Reihe von Anti-CD47-Medikamentenkandidaten werden derzeit in klinischen
Studien getestet. Als Checkpoint-Inhibitoren blockieren sie das „Don’t eat
me“-Signal auf Krebszellen, um unter anderem die von Makrophagen vermittelte
Abtötung zu ermöglichen. Da CD47 auch in hoher Dichte auf der Oberfläche von
roten Blutkörperchen exprimiert wird, beeinträchtigt diese Art der Therapie die
immunhämatologische Diagnostik. Mehrere Verfahren zur Umgehung dieser
Interferenz werden derzeit erprobt.Wir berichten hier über den Verlauf der Interferenz bei einem Patienten mit
akuter myeloischer Leukämie unter Magrolimabtherapie und stellen eine Methode
zur Maskierung von CD47 durch ein neues Reagenz vor, die die Interferenz
behebt.
Living High-Training Low on Mice Bone Parameters Analyzed through
Complex Network Approach
Authors: Beck Wladimir Rafael , Scariot Pedro Paulo Menezes , Papoti Marcelo , Pejon Taciane Maria Melges , Polisel Emanuel Elias Camolese , Manchado-Gobatto Fúlvia Barros , Gobatto Claudio Alexandre 
Published: November 2024

AbstractThe aim of this study was to investigate the effect of 8 weeks of hypoxic
exposition and physical training on healthy mice femur outcomes analyzed through
conventional statistic and complex networks. The mice were divided into four
groups, subjected to physical training (T; 40 min per day at 80% of critical
velocity intensity) or not (N), exposed to hypoxic environment (“Living
High-Training Low” model – LHTL; 18 h per day, FIO2=19.5%; Hyp) or
not (Nor). The complex network analysis performed interactions among parameters
using values of critical “r” of 0.5 by Pearson correlations to edges
construction, with Fruchterman-Reingold layout adopted for graph visualization.
Pondered Degree, Betweenness, and Eigenvector metrics were chosen as centrality
metrics. Two-way ANOVA, t-test and Pearson correlation were used with P<0.05.
Femur phosphorus of T-Hyp was higher than all other groups (P<0.05) and
correlated with bone density (r=0.65; P=0.042), bone mineral density (r=0.67;
P=0.034) and% of mineral material (r=0.66, P=0.038). Overall, the complex
network demonstrated improvements in bone volume, % of mineral material, bone
density, and bone mineral density for T-Hyp over other groups. Association of
physical training and hypoxia improved bone quality for healthy mice.
Otoplasty and Ear Reconstruction Complications
Authors: Buba Cibele M. , Gantous Andres M. 
Published: November 2024

AbstractProminauris, often known as prominent ears, is one of the most frequent congenital deformities of the head and neck. Therefore, otoplasty has gained significant popularity and is now one of the most performed procedures in the field of facial plastic surgery.Reconstructing and correcting ear abnormalities remains a challenging procedure in facial plastic and reconstructive surgery. These deformities, whether congenital or acquired, have a substantial influence on patients' lives and inflict psychological harm. Addressing the deformity and tissue loss will improve the overall quality of life.Throughout history, various surgical techniques have been reported for treating external ear abnormalities. While most of these surgeries are considered safe, a comprehensive preoperative evaluation and understanding of the different techniques and risks can minimize potential complications.
Sensory–Motor Polyneuropathy in an 11-year- old Girl with a Pathogenic Variant in SMC1A: A Case Report
Authors: De Luisa Angelica , Cesaroni Carlo A. , Pollazzon Marzia , Spagnoli Carlotta , Caraffi Stefano G. , Leon Alberta , Rizzi Susanna , Frattini Daniele , Cavalli Anna , Garavelli Livia , Fusco Carlo 
Published: November 2024

AbstractPathogenic variants in the SMC1A gene are often dominant-negative and cause an X-linked form of Cornelia de Lange syndrome (CdLS) with growth retardation and typical facial features. However, rare SMC1A variants cause a developmental and epileptic encephalopathy (DEE) with intractable early-onset epilepsy that is absent in CdLS. Here we describe an 11-year-old girl with epilepsy, walking disorder, and neurodevelopmental disorder. A neurophysiological examination of nerve conduction velocity showed a mixed, sensory–motor, chronic 4-limb polyneuropathy. Whole-exome sequencing identified the variant c.3145C > T p.(Arg1049*) in SMC1A (NM_006306.3), which can be classified as pathogenic. To the best of our knowledge, among 79 individuals with SMC1A-related DEE reported in the literature, altered peripheral nerve conduction has never been described. In this article, we propose that severe sensory–motor polyneuropathy could be an expansion of the SMC1A-related phenotype.
Evaluating Inter- and Intraobserver Agreement on Pectus Carinatum Severity and Treatment Outcomes: A Comparison of Subjective and Objective Assessment Methods
Authors: van Braak Hendrik , de Beer Sjoerd A. , Zwaveling Sander , Oomen Matthijs W. N. , van Heurn L W. Ernest , de Jong Justin R. 
Published: November 2024

Abstract
Background Visual examination is crucial for assessing pectus carinatum (PC) severity and treatment results. This cross-sectional study evaluates the inter- and intraobserver agreement of PC deformities before and after treatment.
Methods Observers examined medical photographs of patients before and after treatment. Primary outcome was inter- and intraobserver agreement on esthetic results after treatment. Secondary outcomes included inter- and intraobserver agreement on severity and symmetry before treatment, differences in esthetic results after Ravitch surgery and dynamic compression bracing (DCS bracing), and the impact of scars, age, and treatment duration on esthetic results.
Results Medical photographs of 201 patients (aged 4–18) were evaluated by five surgeons and five peers. Surgeons and peers demonstrated inadequate (κ < 0.61) interobserver agreement on esthetic results (κ = 0.26, κ = 0.22), severity of PC (κ = 0.43, κ = 0.38), and symmetry (κ = 0.37, surgeons only). Agreement between surgeons and peers on esthetic results (κ = 0.37) and severity before treatment (κ = 0.54) was similarly inadequate. Surgeons and peers demonstrated inadequate intraobserver agreement on esthetic results (κ = 0.49, κ = 0.34), severity of PC (κ = 0.54, κ = 0.48), and symmetry (κ = 0.60, surgeons only). Deformities treated with Ravitch surgery were perceived as more severe but yielded better results. Peers, unlike surgeons, viewed scars as negatively impacting results. No relationship was found between results after treatment and treatment duration (p = 0.682, p = .062) or age (p = 0.205, p = .527).
Conclusions Subjective assessment of PC severity and esthetic results is inconsistent. Three-dimensional scanning could help standardize treatment completion and aid patients and surgeons in determining treatment completion. The psychosocial effects of scars should be addressed when discussing treatment options.
Research on a 220-GHz modified staggered double corrugated waveguide backward wave oscillator
Authors: Ge Weihua , Yu Sheng 
Published: November 2024

The output power of a backward wave oscillator (BWO) is limited by the low interaction impedance of a slow wave structure (SWS) when the frequency is in the THz band. A BWO based on modified staggered double corrugated waveguide (MSDCW) SWS is researched as a high-power source operating at THz band to break through the coupling impedance limitation in this paper. The MSDCW-SWS designed for BWO with wide electronic tunable band is optimized by numerical Eigenmode simulation to obtain higher coupling impedance. The simulation results show that the coupling impedance of MSDCW-SWS at 211.5 GHz is 42% higher than that of the original staggered double corrugated waveguide (SDCW) SWS when the dispersion conditions are the same for both SWSs. The sheet beam MSDCW-BWO with a broadband output structure is designed to operate under voltage between 23 and 49 kV and an electron beam current of 160 mA. The 3-D interaction simulation results reveal that more than 80.6 W of average output power can be produced from 210 to 238 GHz and the highest electron efficiency of 2.5% can be obtained at 211.5 GHz. The MSDCW-BWO can be considered a promising high-power THz source.
Inverse problems for a generalized fractional diffusion equation with unknown history
Authors: Janno Jaan 
Published: November 2024

Abstract
Solutions of equations governing nonlocal in time processes depend on history of the processes that may be unknown in various situations. In this paper, a method to exclude the unknown history in identification problems making use of non-analyticity of an input is proposed. The method is applied to inverse problems for a diffusion equation containing a generalized fractional derivative. It is assumed that a source f is unknown for time values t in

(
0
,

t
0

)

, vanishes for

t
∈
(

t
0

,

t
1

)

and has nonzero (generated) values for

t
∈
(

t
1

,
T
)

. Provided that

f

|

(

t
1

,
T
)

satisfies certain restrictions, it is proved that product of a kernel of the derivative with an elliptic operator as well as the history of f for

t
∈
(
0
,

t
0

)

are uniquely recovered by a measurement of a state u in

(

t
0

,
T
)

. In case of less restrictions on f the uniqueness of the kernel and the history of f is shown. Moreover, in a case when a functional of u in

(

t
0

,
T
)

is given the uniqueness of the kernel is proved under unknown history.
Electronic properties of polyaniline–graphene nanocomposites synthesized via solution mixing method
Authors: Thakur Soumyasuravi , Rathee Neeraj , Ray Nirat 
Published: November 2024

Abstract
A key advantage of combining the exceptional properties of graphene with conducting polymers, lies in their remarkable property tunability through filler additions into polymer matrices, with synthesis routes playing a crucial role in shaping their characteristics. In this work, we examine the electronic properties of polyaniline and graphene nanocomposites synthesized via a simple solution mixing method, which offers advantages such as ease of use and efficiency. Increasing graphene content enhances nanocomposite conductivity, and a percolation effect is observed. The percolation threshold is high and is consistent with a strong role played by voids in the structure. Temperature-dependent conductivity measurements highlight three distinct conduction regimes: insulating, critical, and metallic. These findings underscore the significant influence of synthesis method and structural disorder on shaping electronic properties, paving the way for engineering multifunctional nanocomposites with exceptional versatility and performance.
Quantitative Eliashberg theory of the superconductivity of thin films
Authors: Ummarino Giovanni Alberto , Zaccone Alessio 
Published: November 2024

Abstract
A quantitative theory of the superconductivity of materials confined at the nanoscale in parameter-free agreement with experimental data has been missing so far. We present a generalization, in the Eliashberg framework, of a BCS theory of superconductivity in good metals which are confined along one of the three spatial directions, such as thin films. In this formulation of the Eliashberg equations the approximation of taking the normal density of states as its value at the Fermi level has been removed. By numerically solving these new Eliashberg-type equations, we find the dependence of the superconducting critical temperature

T

c

on the confinement size L, in quantitative agreement with experimental data of Pb and Al thin films with no adjustable parameters. This quantitative agreement provides an indirect confirmation that, upon increasing the confinement, a crossover from a spherical-like Fermi surface, which contains two growing hole pockets caused by the confinement, to a strongly deformed Fermi surface, occurs. This topology of the Fermi sea is implemented in the new Eliashberg-type equations to reproduce the experimentally observed maximum in the critical superconducting temperature vs film thickness of ultra-thin Pb films.
Generalized pole-residue method for dynamic analysis of nonlinear systems based on Volterra series
Authors: Cao Qianying , Chang Anteng , Du Junfeng , Lu Lin , Qin Jianmin 
Published: November 2024

Abstract
Prediction of remaining useful life (RUL) is very important in health management across the fields of civil engineering, ocean engineering and energy. Monitoring and analyzing the dynamic response can provide valuable insights into the RUL of the dynamic systems. To calculate the response of such systems, time-consuming step-by-step numerical integration methods and convolution methods based on Volterra series in the time domain have been widely used. In contrast, this work develops an efficient generalized pole-residue method based on the Volterra series performed in the Laplace domain. The proposed method involves two steps: (1) the Volterra kernels are decoupled in terms of Laguerre polynomials, and (2) the partial response related to a single Laguerre polynomial is obtained analytically in terms of the pole-residue method. Compared to the traditional pole-residue method for a linear system, one of the novelties of the pole-residue method in this paper is how to deal with the higher-order poles and their corresponding coefficients. Because the proposed method derives an explicit, continuous response function of time, it is much more efficient than traditional numerical methods. Unlike the traditional Laplace domain method, the proposed method is applicable to arbitrary irregular excitations. Because the natural response, forced response and cross response are naturally obtained in the solution procedure, meaningful mathematical and physical insights are gained. In numerical studies, systems with a known equation of motion and an unknown equation of motion are investigated. For each system, regular excitations and complex irregular excitations with different parameters are studied. Numerical studies validate the good accuracy and high efficiency of the proposed method by comparing it with the fourth-order Runge–Kutta method.
Abrikosov clusters in chiral liquid crystal droplets
Authors: Fernandez-Gonzalez V , Clerc M G , González-Cortés G , Hidalgo P I , Vergara J 
Published: November 2024

Abstract
Self-organizing triangular lattices of topological vortices have been observed in type-II superconductors, Bose–Einstein condensates, and chiral magnets under external forcing. Liquid crystals exhibit vortex self-organization in dissipative media. In this study, we experimentally investigate the formation of vortex clusters, analogous to Abrikosov lattices, in temperature-driven chiral liquid crystal droplets. Based on a Ginzburg–Landau-like equation, we derive the interaction laws underlying the formation of these Abrikosov clusters of chiral domains. The origin of these is elucidated due to the competition between the repulsive interaction and the spatial effect of the confinement within the droplet. Our results advance the theoretical understanding of localized vortex self-organization in liquid crystals and open up possibilities for controlling the clustering of these topological defects.