bluuebunny/crossref_metadata_2025_split huggingface dataset:
Advancements and Challenges in Mobile Robot Navigation: A Comprehensive Review of Algorithms and Potential for Self-Learning Approaches
Authors: Al Mahmud Suaib , Kamarulariffin Abdurrahman , Ibrahim Azhar Mohd , Mohideen Ahmad Jazlan Haja 
Published: August 2024

AbstractMobile robot navigation has been a very popular topic of practice among researchers since a while. With the goal of enhancing the autonomy in mobile robot navigation, numerous algorithms (traditional AI-based, swarm intelligence-based, self-learning-based) have been built and implemented independently, and also in blended manners. Nevertheless, the problem of efficient autonomous robot navigation persists in multiple degrees due to the limitation of these algorithms. The lack of knowledge on the implemented techniques and their shortcomings act as a hindrance to further development on this topic. This is why an extensive study on the previously implemented algorithms, their applicability, their weaknesses as well as their potential needs to be conducted in order to assess how to improve mobile robot navigation performance. In this review paper, a comprehensive review of mobile robot navigation algorithms has been conducted. The findings suggest that, even though the self-learning algorithms require huge amounts of training data and have the possibility of learning erroneous behavior, they possess huge potential to overcome challenges rarely addressed by the other traditional algorithms. The findings also insinuate that in the domain of machine learning-based algorithms, integration of knowledge representation with a neuro-symbolic approach has the capacity to improve the accuracy and performance of self-robot navigation training by a significant margin.
Traveling Phase Interfaces in Viscous Forward–Backward Diffusion Equations
Authors: Geldhauser Carina , Herrmann Michael , Janßen Dirk 
Published: August 2024

AbstractThe viscous regularization of an ill-posed diffusion equation with bistable nonlinearity predicts a hysteretic behavior of dynamical phase transitions but a complete mathematical understanding of the intricate multiscale evolution is still missing. We shed light on the fine structure of propagating phase boundaries by carefully examining traveling wave solutions in a special case. Assuming a trilinear constitutive relation we characterize all waves that possess a monotone profile and connect the two phases by a single interface of positive width. We further study the two sharp-interface regimes related to either vanishing viscosity or the bilinear limit.
Structural, Biochemical, and Phylogenetic Analysis of Bacterial and Fungal Carbohydrate Esterase Family 15 Glucuronoyl Esterases in the Rumen
Authors: Gruninger Robert J. , Kevorkova Maya , Low Kristin E. , Jones Darryl R. , Worrall Liam , McAllister Tim A. , Abbott D. Wade 
Published: August 2024

AbstractGlucuronoyl esterases (GEs) are carbohydrate active enzymes in carbohydrate esterase family 15 which are involved in the hydrolysis of lignin-carbohydrate complexes. They are encoded by a wide range of aerobic and anaerobic fungi and bacteria inhabiting diverse environments. The rumen microbiome is a complex microbial community with a wide array of enzymes that specialize in deconstructing plant cell wall carbohydrates. Enzymes from the rumen tend to show low similarity to homologues found in other environments, making the rumen microbiome a promising source for the discovery of novel enzymes. Using a combination of phylogenetic and structural analysis, we investigated the structure-function relationship of GEs from the rumen bacteria Fibrobacter succinogenes and Ruminococcus flavefaciens, and from the rumen fungus, Piromyces rhizinflata. All adopt a canonical α/β hydrolase fold and possess a structurally conserved Ser-His-Glu/Asp catalytic triad. Structural variations in the enzymes are localized to loops surrounding the active site. Analysis of the active site structures in these enzymes emphasized the importance of structural plasticity in GEs with non-canonical active site conformations. We hypothesize that interkingdom HGT events may have contributed to the diversity of GEs in the rumen, and this is demonstrated by the phylogenetic and structural similarity observed between rumen bacterial and fungal GEs. This study advances our understanding of the structure-function relationship in glucuronoyl esterases and illuminates the evolutionary dynamics that contribute to enzyme diversity in the rumen microbiome.
Entanglements of Technologies, Agency and Selfhood: Exploring the Complexity in Attitudes Toward Mental Health Chatbots
Authors: Meadows Robert , Hine Christine 
Published: August 2024

AbstractWhilst chatbots for mental health are becoming increasingly prevalent, research on user experiences and expectations is relatively scarce and also equivocal on their acceptability and utility. This paper asks how people formulate their understandings of what might be appropriate in this space. We draw on data from a group of non-users who have experienced a need for support, and so can imagine self as therapeutic target—enabling us to tap into their imaginative speculations of the self in relation to the chatbot other and the forms of agency they see as being at play; unconstrained by a specific actual chatbot. Analysis points towards ambiguity over some key issues: whether the apps were seen as having a role in specific episodes of mental health or in relation to an ongoing project of supporting wellbeing; whether the chatbot could be viewed as having a therapeutic agency or was a mere tool; and how far these issues related to matters of the user’s personal qualities or the specific nature of the mental health condition. A range of traditions, norms and practices were used to construct diverse expectations on whether chatbots could offer a solution to cost-effective mental health support at scale.
The GDL Vulnerability Index (GVI)
Authors: Smits Jeroen , Huisman Janine 
Published: August 2024

AbstractIn this paper we present the GDL Vulnerability Index (GVI), a new composite index to monitor and analyse the human components of vulnerability to climate change, natural disasters, and other kinds of shocks, for societies and geographic areas across the globe. The GVI is a simple and flexible index designed for use by experts as well as non-experts in the climate field, including researchers, (local) politicians, NGO’s, journalists, advocacy groups and grassroot movements. The GVI is based on an additive formula that summarizes the essence of seven socioeconomic dimensions of vulnerability into a single number. This formula approach sets this index apart from other existing indices. Any person who knows the values of the underlying indicators can compute the vulnerability score of an area by filling in these values in the GVI formula. Validity tests show that the data-driven GVI measures the vulnerability dimensions coping capacity, adaptive capacity and susceptibility as well as major expert-based indices. This offers great prospects for use in situations where no other vulnerability information is available. Here we explain the construction of the GVI, test its validity and present GVI values for (almost) all countries of the world and for major global regions.
Assessing the Measurement Quality of Justice Evaluations of Earnings in Europe
Authors: Moya Cristóbal , Adriaans Jule 
Published: August 2024

AbstractHow individuals perceive the fairness of their pay carries profound implications for individuals and society. Perceptions of pay injustice are linked to a spectrum of negative outcomes, including diminished well-being, poor health, increased stress, and depressive symptoms, alongside various detrimental effects in the work domain. Despite the far-reaching impact of these justice evaluations, validity evidence on their measurement in survey research is missing. Two measurement strategies dominate applied justice research with surveys: Asking for evaluations using a response scale or relying on measures of the just reward to capture fairness. It remains an unresolved question which of these two prevailing approaches—corresponding to the concepts of expressed justice and experienced justice, respectively—yields more robust and high-quality assessments, especially in cross-country research contexts where measurement consistency is critical. This study evaluates the measurement quality of these two approaches using the European Social Survey, which encompasses 29 countries. Our comparative analysis of experienced and expressed justice for gross and net earnings offers comprehensive insights into measurement choices in cross-national surveys. We find that nonresponse to income questions significantly undermines the measurement quality of experienced justice due to its dependence on actual earnings data. Moreover, while both experienced and expressed justice correlate with related concepts as anticipated, the patterns are more consistently observed in expressed justice. These findings suggest that survey practitioners aiming to measure distributive justice of earnings may favor expressed justice instruments, particularly those utilizing rating scales, for efficient and rigorous evaluation.
AI-Assisted Sensor System for the Acetone and Ethanol Detection Using Commercial Metal Oxide-Based Sensor Arrays and Convolutional Neural Network
Authors: Heng Sinn Yen , Yap Keenan Zhihong , Lim Wei Yin , Ramakrishnan Narayanan 
Published: August 2024

AbstractIn recent decades, the traditional landscape of volatile organic compound (VOC) sensing has adopted a new perspective in enhancing the detection of useful VOCs using data intelligence to extract constructive insights of the sensor behaviour towards multiple gases. In the domain of gas sensing, VOCs such as acetone and ethanol have been widely used in sensor testing due to their closely related chemical properties, which poses a challenge in discrimination. Therefore, this study aims to discriminate acetone from ethanol with the use of readily available commercial metal oxide (MOx) sensors through the implementation of Deep Learning (DL) techniques. The data set obtained after exposing a sensing array comprising various MOx sensors to acetone and ethanol was converted to a time-frequency representation known as a scalogram to train and test a multi-input convolutional neural network (CNN). The results show that training the CNN model on the sensor array data set yields better results than with an individual sensor data set. The findings of this research substantiated the ability of DL models to better capture the dynamic interaction of the sensors with acetone and ethanol, leading to the implication of the DL classifier having the capacity to reject sensor inconsistencies and variations in the responses. This research holds promise for advancing health monitoring and disease detection, as the combination of MOx sensors and DL techniques is expected to make significant future contributions in these areas.
Multistage strategy for ground point filtering on large-scale datasets
Authors: Teijeiro Paredes Diego , Amor López Margarita , Buján Sandra , Richter Rico , Döllner Jürgen 
Published: August 2024

AbstractGround point filtering on national-level datasets is a challenge due to the presence of multiple types of landscapes. This limitation does not simply affect to individual users, but it is in particular relevant for those national institutions in charge of providing national-level Light Detection and Ranging (LiDAR) point clouds. Each type of landscape is typically better filtered by different filtering algorithms or parameters; therefore, in order to get the best quality classification, the LiDAR point cloud should be divided by the landscape before running the filtering algorithms. Despite the fact that the manual segmentation and identification of the landscapes can be very time intensive, only few studies have addressed this issue. In this work, we present a multistage approach to automate the identification of the type of landscape using several metrics extracted from the LiDAR point cloud, matching the best filtering algorithms in each type of landscape. An additional contribution is presented, a parallel implementation for distributed memory systems, using Apache Spark, that can achieve up to $$34\times$$

34
×

of speedup using 12 compute nodes.
From source to sink: part 1—characterization and Lagrangian tracking of riverine microplastics in the Mediterranean Basin
Authors: Weiss Lisa , Estournel Claude , Marsaleix Patrick , Mikolajczak Guillaume , Constant Mel , Ludwig Wolfgang 
Published: August 2024

Abstract
The Mediterranean Sea is one of the most critically polluted areas due to its semi-enclosed structure and its highly anthropized shoreline. Rivers are significant vectors for pollutant transfers from the continental to the marine environment. In this context, a 3D Lagrangian simulation of the dispersion of riverine microplastics (MPs) was performed, which included the application of a recently developed model that reassessed the MP fluxes discharged by rivers. MP physical properties from river samples were further investigated to approximate vertical displacement in modeled ocean currents. The use of a high-resolution circulation model, integrating Stokes drift, turbulent diffusion, and MP sinking and rising velocities, enabled us to establish stock balances. Our simulation suggested that 65% of river inputs may be made of floating MPs drifting in the surface layer and 35% of dense MPs sinking to deeper layers. The Eastern Mediterranean tends to accumulate floating MPs, primarily originating from the Western Mediterranean Basin, where major river sources are concentrated. After 2 years of simulation, modeled stranding sequestered 90% of the MP inputs, indicating relatively short average residence times from a few days to months at most for particles at sea. Although spatial distribution patterns stabilized after this period and a steady state may have been approached, the surface concentrations we modeled generally remained below field observations. This suggested either an underestimation of sources (rivers and unaccounted sources), by a factor of 6 at most, or an overestimation of MP withdrawal through stranding, to be reduced from 90 to around 60% or less if unaccounted sinks were considered.

Graphical abstract
Hyperalgesic Effect Evoked by il-16 and its Participation in Inflammatory Hypernociception in Mice
Authors: González-Rodríguez Sara , Sordo-Bahamonde Christian , Álvarez-Artime Alejandro , Baamonde Ana , Menéndez Luis 
Published: August 2024

Abstract
The systemic administration of interleukin-16 (IL-16, 3–30 ng/kg) induced thermal hyperalgesia in mice, that was prevented by the acute injection of an anti-CD4 antibody (1 µg/kg), the depletion of circulating white blood cells by cyclophosphamide or the specific reduction of circulating CD4+ cells provoked by a high dose of an anti-CD4 antibody (30 µg/mouse, 24 h before). IL-16-induced hyperalgesia was locally inhibited after intraplantar (i.pl.) administration of the non-selective cyclooxygenase (COX) inhibitor diclofenac, the COX-1 inhibitor SC-560, the COX-2 inhibitor celecoxib, the TRPV1 antagonist capsazepine or the TRPA1 antagonist HC030031, thus demonstrating that prostaglandins and TRP channels are involved in this effect. The i.pl. administration of low doses of IL-16 (0.1–1 ng) evoked local hyperalgesia suggesting the possibility that IL-16 could participate in hypernociception associated to local tissue injury. Accordingly, IL-16 concentration measured by ELISA was increased in paws acutely inflamed with carrageenan or chronically inflamed with complete Freund´s adjuvant (CFA). This augmentation was reduced after white cell depletion with cyclophosphamide or neutrophil depletion with an anti-Ly6G antibody. Immunofluorescence and flow cytometry experiments showed that the increased concentration of IL-16 levels found in acutely inflamed paws is mainly related to the infiltration of IL-16+ neutrophils, although a reduced number of IL-16+ lymphocytes was also detected in paws inflamed with CFA. Supporting the functional role of IL-16 in inflammatory hypernociception, the administration of an anti-IL-16 antibody dose-dependently reduced carrageenan- and CFA-induced thermal hyperalgesia and mechanical allodynia. The interest of IL-16 as a target to counteract inflammatory pain is suggested.

Graphical Abstract
Effect of High-Pressure Processing on the Antioxidant and Antibacterial Properties of Honey
Authors: Faraz Ayesha , Williams Mark , Fernando WMAD Binosha , Jayasena Vijay 
Published: August 2024

AbstractHigh pressure processing (HPP) have the potential to be used as an alternative to commercial thermal processing of honey. Its impact on the antioxidant and antibacterial properties of honey have yet to be understood properly. This study focuses on the effects of HPP on the antioxidant and antibacterial properties of honey. Six different honey samples were subjected to HPP at 400 and 600 MPa for 10 and 15 min. The antioxidant properties were measured in terms of total phenolic content, total flavonoid content, the 2,2-diphenyl-1-picrylhydrazyl free radical scavenging assay, and 2,2′-azino-bis (3-ethylbenzothiazoline-6-sulphonic acid) free radical scavenging assay. The antibacterial activity was measured as the minimum bacteriocidal and minimum bacterial inhibition concentration of honey against S. aureus, P. aeruginosa and E. coli. HPP decreased the total phenolic content and increased the total flavanoid content. There was an increase in the antibacterial activity of HPP honey against S. aureus, whereas no significant changes were observed against P. aeruginosa, and E. coli. It was evident that the changes in the antioxidant and antibacterial activity of honey samples were dependent on the HPP processing parameters and the type of honey.
The genus Peniophora (Russulales, Basidiomycota) from Patagonia revisited
Authors: Rajchenberg Mario , de Errasti Andrés , Gorjón Sergio Pérez 
Published: August 2024

AbstractThe identity of Peniophora specimens from Patagonia is examined based on morphological, cultural, and biological features as well as phylogenetic analyses of nuclear ribosomal ITS and 28S sequences. Three new species are described from Patagonia: Peniophora patagonica, P. pitrae, and P. revoluta. In total, five species are known in the area, growing on endemic trees in Southern Argentina. Peniophora cinerea and P. rufomarginata are excluded from the Patagonian records, and the presence of P. incarnata and P. lycii is confirmed by molecular methods. A key to Peniophora species from Patagonia is presented.
Sarcopenia and self-reported markers of physical frailty in patients with osteoporosis
Authors: Nielsen B. R. , Andersen H. E. , Hovind P. , Jørgensen N. R. , Schwarz P. , Kristensen S. H. , Suetta C. 
Published: August 2024

Abstract

Summary

Bone and muscle impairment, named osteoporosis and sarcopenia, may co-occur with age, and patients with both disorders might exhibit physical frailty. One-hundred sixty-three patients were included. 14.2% had both disorders and presented more frequent with previous fall, reduced daily activity level, walk/balance challenges, and need of walking aid, indicating overall frailty.

Purpose
In older adults, sarcopenia (muscle impairment) and physical frailty may accompany osteoporosis (bone brittleness), yet osteoporosis is typically assessed without evaluating these conditions, even though coexistence may contribute to exacerbated negative health outcomes. We aimed at evaluating the prevalence of sarcopenia and impaired muscle domains in osteoporotic patients and explore the risk of osteosarcopenia from markers of physical frailty.

Methods
In Copenhagen, Denmark, osteoporotic patients aged 65 + were assessed cross-sectionally in 2018–2019. Evaluations included muscle mass, strength, and function; bone mineral density; and self-reported physical activity, fall, balance challenges, dizziness, and the need of walking aid. Low bone mass, low-energy fracture, or treatment with anti-osteoporotic medication defined patient with osteoporosis, and sarcopenia was defined by low muscle strength and mass. Osteosarcopenia was defined from the coexistence of both conditions.

Results
One-hundred sixty-three patients with osteoporosis were included. Of those, 23 (14.2%) exhibited sarcopenia, hence osteosarcopenia. Hand-grip-strength, 30-s-chair-stand-test, relative-appendicular-lean-muscle-mass, and gait-speed were below cut-off levels in 21.0%, 30.9%, 28.8%, and 23.6% of the patients, respectively.
Previous fall, activity level, walk and balance challenges, and need of walking aid were statistically (or borderline) significantly more often affected in the osteosarcopenic group compared with the solely osteoporotic. Logistic regression analysis, however, revealed that only the need for walking aid significantly increased the risk of an osteosarcopenia diagnosis (odds ratio 5.54, 95% CI (1.95–15.76), p < 0.01).

Conclusions
Sarcopenia and impaired muscle domains were frequent in osteoporotic patients, as were markers of physical frailty, indicating the need of thorough examination of osteoporotic patients.
Post-Bariatric Hypoglycemia: an Impaired Metabolic Response to a Meal
Authors: Aydin Ömrüm , Meijnikman Abraham S. , de Jonge Patrick A. , van Stralen Karlijn , Börger Hanneke , Okur Kadriye , Iqbal Zainab , Warmbrunn Moritz V. , Acherman Yair I. Z. , Bruin Sjoerd , Winkelmeijer Maaike , Schimmel Alinda W. M. , Holst Jens J. , Poulsen Steen S. , Bäckhed Fredrik , Nieuwdorp Max , Groen Albert K. , Gerdes Victor E. A. 
Published: August 2024

Abstract
Aims/Hypothesis
Post-bariatric hypoglycemia (PBH) is caused by postprandial hyperinsulinemia, due to anatomical alterations and changes in post-prandial metabolism after bariatric surgery. The mechanisms underlying the failing regulatory and compensatory systems are unclear. In this study, we investigated the differences in post-prandial hormones and metabolic profiles between patients with and without PBH.

Methods
We performed a mixed meal test (MMT) in 63 subjects before and 1 year after Roux-en-Y gastric bypass (RYGB) surgery. Blood was withdrawn at 0, 10, 20, 30, 60, and 120 min after ingestion of a standardized meal. Glucose, insulin, GLP-1, FGF-19, and FGF-21 were measured and untargeted metabolomics analysis was performed on blood plasma to analyze which hormonal and metabolic systems were altered between patients with and without PBH.

Results
Out of 63, a total of 21 subjects (33%) subjects developed PBH (glucose < 3.1 mmol/L) after surgery. Decreased glucose and increased insulin excursions during MMT were seen in PBH (p < 0.05). GLP-1, FGF-19, and FGF-21 were elevated after surgery (p < 0.001), but did not differ between PBH and non-PBH groups. We identified 20 metabolites possibly involved in carbohydrate metabolism which differed between the two groups, including increased carnitine and acylcholines in PBH.

Conclusion
Overall, 33% of the subjects developed PBH 1 year after RYGB surgery. While GLP-1, FGF-19, and FGF-21 were similar in PBH and non-PBH patients, metabolomics analysis revealed changes in carnitine and acyclcholines that are possibly involved in energy metabolism, which may play a role in the occurrence of PBH.

Graphical Abstract