bluuebunny/crossref_metadata_2025_split huggingface dataset:
$$\varvec{J}$$-, M- and $$\varvec{L}$$-integrals of line charges and line forces
Authors: Lazar Markus , Agiasofitou Eleni 
Published: April 2023

AbstractIn this work, the $$\varvec{J}$$

J

-, M- and $$\varvec{L}$$

L

-integrals of two line charges and two line forces in generalized plane strain are derived in the framework of three-dimensional (3D) electrostatics and three-dimensional compatible linear elasticity, respectively, in order to study the interaction between them. The key point in this derivation is achieved by expressing the $$\varvec{J}$$

J

-, M- and $$\varvec{L}$$

L

-integrals of point charges and point forces in three dimensions in terms of the corresponding three-dimensional Green functions, that is, the three-dimensional Green function of the Laplace operator and the three-dimensional Green tensor of the Navier operator, respectively. The major mathematical tool used in deriving the $$\varvec{J}$$

J

-, M- and $$L_3$$

L
3

-integrals of line charges and line forces from the corresponding $$\varvec{J}$$

J

-, M- and $$\varvec{L}$$

L

-integrals of point charges and point forces is the method of embedding or method of descent of Green functions to two dimensions (2D) from the corresponding Green functions in 3D. The analytical expressions of $$\varvec{J}$$

J

-, M- and $$L_3$$

L
3

-integrals of line charges and line forces in antiplane and plane strain are derived and discussed. The $$\varvec{J}$$

J

-integral is the electrostatic part of the Lorentz force (electrostatic interaction force) between two line charges in electrostatics and the Cherepanov force between two line forces in elasticity. The M-integral of two line sources (charges or forces) equals half the electrostatic interaction energy in electrostatics and half the elastic interaction energy in elasticity of these two line sources, respectively. The $$L_3$$

L
3

-integral of two line sources (charges or forces) is the z-component of the configurational vector moment or the rotational moment representing the total torque about the z-axis caused by the interaction of the two line sources. An important outcome is that the $$\varvec{J}$$

J

-integral is twice the negative gradient of the M-integral, leading to the result that the $${\varvec{J}}$$

J

-integral for line charges and line forces is a conservative force (with the corresponding interaction energy playing the role of the potential energy) and consequently an irrotational vector field. Finally, the obtained $$\varvec{J}$$

J

-, M- and $$L_3$$

L
3

-integrals being functions of the distance and of the angle, are able to describe the physical behaviour of the interaction of two line sources (charges and forces), since they represent the fundamental and necessary quantities, that is, the interaction force, interaction energy and total torque produced by the interaction of these two line sources.
Comparison of bilateral to unilateral total extra-peritoneal (TEP) inguinal hernia repair: a systematic review and meta-analysis
Authors: Hitman T. , Bartlett A. S. R. , Bowker A. , McLay J. 
Published: April 2023

Abstract
Purpose
Laparoscopic herniorrhaphy (LH) has become the treatment of choice in many centers for patients with inguinal hernia (IH). Our aim was to compare the morbidity outcomes of bilateral vs unilateral IH repair using the laparoscopic total extra-peritoneal (TEP) technique, to determine whether undertaking bilateral IH repair places patients at additional risk.

Methods
Manuscripts published up to the end of 2021 on PubMed/MEDLINE, EMBASE, Cochrane Library, Scopus, and Web of Science were searched. Patients (> 16 years) undergoing a primary elective unilateral or bilateral TEP operation, using the standard 3-port laparoscopic technique, were identified. Quality of evidence was assessed using the GRADE criteria. Meta-analysis was conducted where possible. Where this was not possible, vote counting was conducted using effect direction plots.

Results
Eight observational studies, with a total of 18,153 patients were included. Operative time was significantly longer for bilateral operations. There was no significant difference in conversion to open, post-operative seroma, urinary retention, haematoma, and length of hospital stay. There was an increased rate of hernia recurrence in patients undergoing bilateral IH repair.

Conclusion
Although limited by the observational nature of the included studies, there is no conclusive evidence to suggest a differential burden of morbidity between unilateral and bilateral TEP IH repair. As all included papers are from observational studies only, evidence from all outcomes is at best very low quality. This manuscript thereby highlights a need for randomized controlled trials to be conducted in this area.
Pulsed magnetic field increases the effect of ultraviolet C radiation and thermal shock in aged yeasts
Authors: Mercado-Sáenz Silvia , González-Vidal Alejandro , Burgos-Molina Antonio M. , López-Díaz Beatriz , Sendra-Portero Francisco , Ruiz-Gómez Miguel J. 
Published: April 2023

AbstractThe study of the effects of the magnetic field (MF) on living matter continues to be a dilemma. Until now, the interaction mechanisms of MF with living matter that explain the observed phenomena are unknown. Despite the existing literature and the multiple effects described to date, there are few published articles that study the combined effect of MF with other physical agents during the cellular aging process. In this sense, the aim of this work is to study whether low frequency and intensity pulsed and sinusoidal MF exposure produce alterations in the cell killing effect of ultraviolet C (UVC) radiation and thermal shock during the chronological aging of S. cerevisiae. Yeast cells were exposed to 2.45 mT (50 Hz) sinusoidal MF and 1.5 mT (25 Hz) pulsed MF, during 40 days of aging, in combination with UVC radiation (50 J/m2) and/or thermal shock (52°C). Cell survival was evaluated by clonogenic assay. The exposure of yeast to pulsed MF produces an acceleration of aging, which is not observed in cells exposed to sinusoidal MF. The pulsed MF modifies the cellular response to damaging agents only in aged S. cerevisiae cells. In this sense, the pulsed MF applied increases the damage induced by UVC radiation and by thermal shock. In contrast, the sinusoidal MF used has no effect.
Machine translation from signed to spoken languages: state of the art and challenges
Authors: De Coster Mathieu , Shterionov Dimitar , Van Herreweghe Mieke , Dambre Joni 
Published: April 2023

AbstractAutomatic translation from signed to spoken languages is an interdisciplinary research domain on the intersection of computer vision, machine translation (MT), and linguistics. While the domain is growing in terms of popularity—the majority of scientific papers on sign language (SL) translation have been published in the past five years—research in this domain is performed mostly by computer scientists in isolation. This article presents an extensive and cross-domain overview of the work on SL translation. We first give a high level introduction to SL linguistics and MT to illustrate the requirements of automatic SL translation. Then, we present a systematic literature review of the state of the art in the domain. Finally, we outline important challenges for future research. We find that significant advances have been made on the shoulders of spoken language MT research. However, current approaches often lack linguistic motivation or are not adapted to the different characteristics of SLs. We explore challenges related to the representation of SL data, the collection of datasets and the evaluation of SL translation models. We advocate for interdisciplinary research and for grounding future research in linguistic analysis of SLs. Furthermore, the inclusion of deaf and hearing end users of SL translation applications in use case identification, data collection, and evaluation, is of utmost importance in the creation of useful SL translation models.
Procrustes-based distances for exploring between-matrices similarity
Authors: Andreella Angela , De Santis Riccardo , Vesely Anna , Finos Livio 
Published: April 2023

AbstractThe statistical shape analysis calledProcrustesanalysis minimizes the Frobenius distance between matrices by similarity transformations. The method returns a set of optimal orthogonal matrices, which project each matrix into a common space. This manuscript presents two types of distances derived fromProcrustesanalysis for exploring between-matrices similarity. The first one focuses on the residuals from theProcrustesanalysis, i.e., theresidual-baseddistance metric. In contrast, the second one exploits the fitted orthogonal matrices, i.e., therotational-baseddistance metric. Thanks to these distances, similarity-based techniques such as the multidimensional scaling method can be applied to visualize and explore patterns and similarities among observations. The proposed distances result in being helpful in functional magnetic resonance imaging (fMRI) data analysis. The brain activation measured over space and time can be represented by a matrix. The proposed distances applied to a sample of subjects—i.e., matrices—revealed groups of individuals sharing patterns of neural brain activation. Finally, the proposed method is useful in several contexts when the aim is to analyze the similarity between high-dimensional matrices affected by functional misalignment.
Semi-supervised sentiment clustering on natural language texts
Authors: Frigau Luca , Romano Maurizio , Ortu Marco , Contu Giulia 
Published: April 2023

AbstractIn this paper, we propose a semi-supervised method to cluster unstructured textual data called semi-supervised sentiment clustering on natural language texts. The aim is to identify clusters homogeneous with respect to the overall sentiment of the texts analyzed. The method combines different techniques and methodologies: Sentiment Analysis, Threshold-based Naïve Bayes classifier, and Network-based Semi-supervised Clustering. It involves different steps. In the first step, the unstructured text is transformed into structured text, and it is categorized into positive or negative classes using a sentiment analysis algorithm. In the second step, the Threshold-based Naïve Bayes classifier is applied to identify the overall sentiment of the texts and to define a specific sentiment value for the topics. In the last step, Network-based Semi-supervised Clustering is applied to partition the instances into disjoint groups. The proposed algorithm is tested on a collection of reviews written by customers onBooking.com. The results have highlighted the capacity of the proposed algorithm to identify clusters that are distinct, non-overlapped, and homogeneous with respect to the overall sentiment. Results are also easily interpretable thanks to the network representation of the instances that helps to understand the relationship between them.
Classifying buildings according to seismic vulnerability using Cluster-ANN techniques: application to the city of Murcia, Spain
Authors: Meyers-Angulo J. Eduardo , Martínez-Cuevas Sandra , Gaspar-Escribano Jorge M. 
Published: April 2023

AbstractThe seismic vulnerability of a city is a degree of its intrinsic susceptibility or predisposition to sustain damage or losses stemming from seismic events. In terms of physical vulnerability, one of the most important factors for assessing seismic risk, especially, for estimating losses, is the exposure of structures, particularly those structures intended for residential use. The present article outlines a methodology for classifying residential buildings based on the structural and non-structural components that ultimately determine the building typology and control the seismic performance. The proposed methodology is divided into three steps: first, spatial data are analysed using an official database that is supplemented by remote field work to verify, validate, and identify construction typologies and urban modifiers after incorporating the new observable data. During the second step, machine learning techniques based on Two-Step cluster analysis and neural networks are used to identify building typologies, using a multilayer perceptron to assess the representativeness of the building typologies identified. Finally, each building typology is defined, a vulnerability assessment is carried out, and vulnerability classes are ranked based on the macroseismic scale. The above-mentioned steps were applied to 7631 residential buildings in the city of Murcia, Spain. The methodology is scalable and may be automated, so it may be replicated in other urban areas with similar characteristics or adapted to different urban settings. This may help save time and reduce the cost of carrying out seismic risk studies, providing valuable information for both civil protection and regional and local governments.
Rubber-soil mixtures: use of grading entropy theory to evaluate stiffness and liquefaction susceptibility
Authors: Bernal-Sanchez Juan , Leak James , Barreto Daniel 
Published: April 2023

AbstractRubber-soil mixtures are known to have mechanical properties that enable their use in backfills, road construction or geotechnical seismic isolation systems. The complexity of these mixtures comes from adding soft (i.e. rubber) particles that increases the number of particle properties to consider when studying the macroscopic behaviour. The distinction between sand-like and rubber-like behaviour is normally presented in relation to the rubber content and size ratio between particles. It is however unknown how the change on the mixture gradation affects the mechanical behaviour of RSm. Entropy coordinates condense the entire particle size distribution (PSD) to a single point on a Cartesian plane, accounting for all the information in the gradation. Grading entropy coordinates have been used to study typical geotechnical behaviours of mostly incompressible (i.e. sand) soils. In this study, entropy coordinates are used to analyse the correlation between the small-strain stiffness and liquefaction susceptibility of RSm and their PSDs. The results suggest that entropy coordinates can be used effectively on RSm as an alternative means of assessment of typical soil behaviours, being also able to distinguish between sand-like and rubber-like behaviours. Based on the 30 PSDs analysed, it is also evidenced that internal stability criterion proposed by Lőrincz (1986) can be used to predict the liquefaction susceptibility of RSm. The normalised base entropy (A) has also been shown to increase with the rubber content, which is linked to a lower liquefaction susceptibility, due to the supporting effect of rubber particles on strong-force chains formed of sand particles.
Rapid seismic response prediction of rocking blocks using machine learning
Authors: Achmet Zeinep , Diamantopoulos Spyridon , Fragiadakis Michalis 
Published: April 2023

AbstractThe paper proposes the use of supervised machine learning (ML) methods for quickly predicting the seismic response of rocking systems when subjected to seismic excitations. Different supervised ML algorithms are discussed, while a relatively simple and a more sophisticated algorithm are examined in detail. Specifically, the two algorithms compared are the k-Nearest Neighbor (k-NN) and the Support Vector Machine (SVM). The performance of the ML models is demonstrated considering both sine pulses and different sets of natural ground motion records. The results are practically perfect for sine pulses, while accurate results were also obtained for the case of natural ground motions. The proposed ML-based tool allows to quickly assess the risk of damage for rocking systems, while it is also very important when a large number of rocking blocks have to be studied, e.g. in the case of a building’s inventory.
Proteostasis networks in aging: novel insights from text-mining approaches
Authors: Neves Diogo , Duarte-Pereira Sara , Matos Sérgio , Silva Raquel M. 
Published: April 2023

AbstractAging is a topic of paramount importance in an increasingly elderly society and has been the focus of extensive research. Protein homeostasis (proteostasis) decline is a hallmark in aging and several age-related diseases, but which specific proteins and mechanisms are involved in proteostasis (de)regulation during the aging process remain largely unknown. Here, we used different text-mining tools complemented with protein–protein interaction data to address this complex topic. Analysis of the integrated protein interaction networks identified novel proteins and pathways associated to proteostasis mechanisms and aging or age-related disorders, indicating that this approach is useful to identify previously unknown links and for retrieving information of potential novel biomarkers or therapeutic targets.
Early biochemical outcomes following PSMA guided approach for bIoCHEmical relapse after prostatectomy-PSICHE trial (NCT05022914): preliminary results
Authors: Francolini Giulio , Ganovelli Michele , Di Cataldo Vanessa , Detti Beatrice , Caini Saverio , Loi Mauro , Simontacchi Gabriele , Desideri Isacco , Greto Daniela , Valzano Marianna , Serni Sergio , Vaggelli Luca , Salvestrini Viola , Visani Luca , Becherini Carlotta , Olmetto Emanuela , Franzese Ciro , Baldaccini Davide , Scorsetti Marta , Sollini Martina , Chiti Arturo , Meattini Icro , Valicenti Richard K. , Livi Lorenzo 
Published: April 2023

AbstractPSICHE (NCT05022914) is a prospective trial to test a [68Ga]Ga- PSMA-11 PET/CT imaging tailored strategy. All evaluable patients had biochemical relapse after surgery and underwent centralized [68Ga]Ga-PSMA-11 PET/CT imaging. The treatment was performed according pre-defined criteria. Observation and re-staging at further PSA progression were proposed to patients with negative PSMA and previous postoperative RT. Prostate bed SRT was proposed to all patients with a negative staging or positive imaging within prostate bed. Stereotactic body radiotherapy (SBRT) to all sites of disease was used for all patients with pelvic nodal recurrence (nodal disease < 2 cm under aortic bifurcation) or oligometastatic disease. At 3 months after treatment, 54.7% of patients had a complete biochemical response Only 2 patients experienced G2 Genitourinary toxicity. No G2 Gastrointestinal toxicity was recorded. A PSMA targeted treatment strategy led to encouraging results and was well tolerated.
Titanium (IV) oxide anatase nanoparticles as vectors for diclofenac: assessing the antioxidative responses to single and combined exposures in the aquatic macrophyte Egeria densa
Authors: Esterhuizen Maranda , Lutsko Mariia , Kim Youngsam , Yoon Hakwon , Park Chang-Beom , Kim Young Jun , Pflugmacher Stephan 
Published: April 2023

AbstractTitanium dioxide, frequently used in commonplace products, is now regularly detected in aquatic environments. Understanding its toxic effects on native biota is essential. However, combined toxicity with commonly occurring pollutants, such as the pharmaceutical diclofenac, may provide more insight into environmental situations. Therefore, the present study aimed to evaluate the effects of titanium dioxide and diclofenac, individually and combined, on the macrophyte Egeria densa. Diclofenac uptake and removal by the macrophyte were assessed. Diclofenac and titanium dioxide were mixed prior to exposure to allow binding, which was assessed. Toxicity of the individual compounds and the combination was evaluated by assaying enzymes as bioindicators of biotransformation and the antioxidative system. Cytosolic glutathione S-transferase and glutathione reductase activities were increased by diclofenac, titanium dioxide, and the combination. Both enzymes’ activities were more significantly elevated by diclofenac and the combination than nanoparticles alone. Microsomal glutathione S-transferase was unaffected by diclofenac exposure but inhibited with titanium dioxide and the mixture. Diclofenac elicited the most significant response. Based on the data, the cytosolic enzymes effectively prevented damage.
A bacterial formula with native strains as alternative to chemical fertiliser for tomato crop
Authors: Paganin Patrizia , Isca Clelia , Tasso Flavia , Calandrelli Tommaso , Migliore Giada , Marras Pier Andrea , Medas Daniela , Dore Elisabetta , De Giudici Giovanni , Sprocati Anna Rosa , Alisi Chiara 
Published: April 2023

AbstractGlobal tomato productivity is threatened by biotic and abiotic stressors. To support and guarantee an adequate yield of tomato crops, agricultural practices have been based on the intensive use of fertilisers with negative impacts on the environment. This study presents a simple and effective strategy of functional bioaugmentation, suitable for different varieties, to replace chemical fertilisation. A tailored microbial formula composed by eight indigenous strains (including the genera Delftia, Pseudomonas, Paenarthrobacter, Phyllobacterium, Bacillus, and Acinetobacter) was developed as biofertilizer. Strains were selected from native soil for their plant growth-promoting (PGP) functions, and combined respecting the taxonomic composition of the original PGP heterotrophic community structure. The effect of the bio-fertilisation vs chemical fertilisation was tested in three successive field trials in the company greenhouse, with different tomato varieties (Camone, Oblungo, Cherry). When bio-fertilisation was applied only twice during the Camone’s life cycle, tomato yield was significantly reduced (0.8 vs 2.1 kg per plant, p = 0.0003). However, monthly inoculation during plant growth led to a fruit yield comparable to that obtained with chemical fertilisers (about 1.5 kg per plant for Oblungo, and about 2 kg per plant for Cherry variety, p = 0.9999). Bio-fertilization did not significantly affect plant height; only during the last growing period of the Cherry variety, a significantly higher average plant height (p < 0.0001) was observed with chemical fertiliser. The results indicate that a knowledge-based bacterial formula and monthly inoculation during the plant growth can be a successful bio-fertilisation strategy. These findings may pave the way towards more sustainable tomato production, since farming practices are becoming increasingly crucial, in accordance with Agenda 2030 and the UE “Farm to Fork” strategy.

Graphical Abstract