bluuebunny/crossref_metadata_2025_split huggingface dataset:
Wireless Communication-aware Path Planning and Multiple Robot Navigation Strategies for Assisted Inspections
Authors: Cid André , Vangasse Arthur , Campos Sofia , Delunardo Mário , Cruz Júnior Gilmar , Neto Nilton , Pimenta Luciano , Domingues Jacó , Barros Luiz , Azpúrua Hector , Pessin Gustavo , Freitas Gustavo 
Published: June 2024

AbstractAmong the many challenges robots encounter in the mining industry, exploring confined environments receives significant attention. This work tackles problems associated with robot communication in hazardous and confined environments, where its cluttered and extensive nature frequently precludes traditional cable-based and wireless solutions. Our methods resort to off-the-shelf long-range radio frequencies to profile the signal propagation behaviour over the geometrical map to assist navigation algorithms that seek to preserve the connection. We consider mathematical models to predict signal power behaviour and serve as input to path planning. We also propose a semi-autonomous leader-follower scheme, with signal repeater units forming a mobile wireless network to enable inspection in hard-to-reach locations. Finally, we present a multi-robot connection-aware system, combining path planning based on radio signal power with multiple robot navigation. Results show the applicability of the proposed solutions, generating single and multi-robot paths for optimal signal reception based on power estimation, thus enabling operations in remote and isolated areas with no line-of-sight between the command base and the robotic inspection device. Experiments conducted in long corridors and in a representative mining environment using the EspeleoRobô and Pioneer platforms demonstrate significant improvements over the traditional communication methods for robotic operation regarding communication quality and inspection range limits.
Humanoid Robot Motion Planning Approaches: a Survey
Authors: de Lima Carolina Rutili , Khan Said G. , Tufail Muhammad , Shah Syed H. , Maximo Marcos R. O. A. 
Published: June 2024

AbstractHumanoid robots are complex, dynamic systems. Any humanoid robotic application starts with determining a sequence of optimal paths to perform a given task in a known or unknown environment. This paper critically reviews and rates available literature on the three key areas of multi-level motion and task planning for humanoid robots. First is efficiency while navigating and manipulating objects in environments designed for humans. Here, the research has broadly been summarized as behavior cloning approaches. Second is robustness to perturbations and collisions caused by operation in dynamic and unpredictable environments. Here, the modeling approaches integrated into motion planning algorithms have been the focus of many researchers studying humanoid motion’s balance and dynamic stability aspects. Last is real-time performance, wherein the robot must adjust its motion based on the most recent sensory data to achieve the required degree of interaction and responsiveness. Here, the focus has been on the kinematic constraints imposed by the robot’s mechanical structure and joint movements. The iterative nature of solving constrained optimization problems, the computational complexity of forward and inverse kinematics, and the requirement to adjust to a rapidly changing environment all pose challenges to real-time performance. The study has identified current trends and, more importantly, research gaps while pointing to areas needing further investigation.
An Exploratory Approach of Clinically Useful Biomarkers of Cvid by Logistic Regression
Authors: Guerra-Galán Teresa , Palacios-Ortega María , Jiménez-Huete Adolfo , Guevara-Hoyer Kissy , Cárdenas María Cruz , Villegas-Mendiola Ángela , Mansilla-Ruíz María Dolores , Subhi-Issa Nabil , de la Fuente-Munoz Eduardo , Requejo Pedro Mikel , de la Peña Antonia Rodríguez , Guzmán-Fulgencio María , Fernández-Arquero Miguel , de Diego Rebeca Pérez , Sánchez-Ramón Silvia 
Published: June 2024

AbstractDespite advancements in genetic and functional studies, the timely diagnosis of common variable immunodeficiency (CVID) remains a significant challenge. This exploratory study was designed to assess the diagnostic performance of a novel panel of biomarkers for CVID, incorporating the sum of κ+λ light chains, soluble B-cell maturation antigen (sBCMA) levels, switched memory B cells (smB) and the VISUAL score. Comparative analyses utilizing logistic regression were performed against established gold-standard tests, specifically antibody responses. Our research encompassed 88 subjects, comprising 27 CVID, 23 selective IgA deficiency (SIgAD), 20 secondary immunodeficiency (SID) patients and 18 healthy controls. We established the diagnostic accuracy of sBCMA and the sum κ+λ, achieving sensitivity (Se) and specificity (Spe) of 89% and 89%, and 90% and 99%, respectively. Importantly, sBCMA showed strong correlations with all evaluated biomarkers (sum κ+λ, smB cell and VISUAL), whereas the sum κ+λ was uniquely independent from smB cells or VISUAL, suggesting its additional diagnostic value. Through a multivariate tree decision model, specific antibody responses and the sum κ+λ emerged as independent, signature biomarkers for CVID, with the model showcasing an area under the curve (AUC) of 0.946, Se 0.85, and Spe 0.95. This tree-decision model promises to enhance diagnostic efficiency for CVID, underscoring the sum κ+λ as a superior CVID classifier and potential diagnostic criterion within the panel.
Syphilis Among U.S.-Bound Refugees, 2015 − 2018
Authors: Fox Shannon , Shah Priti , Hollberg Michelle Russell , Lee Deborah , Posey Drew L. 
Published: June 2024

AbstractWe assessed syphilis screening data from overseas medical examinations among U.S.-bound refugees to characterize seropositive syphilis cases and treatment from January 1, 2015, to December 31, 2018. During this time period, all refugees 15 years and older were required to undergo syphilis screening prior to resettlement to the United States. Of the 160,381 refugee arrivals who had a syphilis screening performed, 697 (434 per 100,000) were diagnosed with any stage (infectious or non-infectious) of syphilis. Among the 697 persons with seropositive syphilis, a majority (63%) were from the Africa region and were male (58%), and 53 (7.6%) were diagnosed with an infectious stage of syphilis. All infectious cases were treated prior to resettlement. This information suggests a comparable risk of infection among U.S.-bound refugees compared to a report of syphilis among U.S.-bound refugees from 2009 to 2013, indicating low rates in this population for at least a decade.
Development of smoothed seismicity models for seismic hazard assessment in the Red Sea region
Authors: Abdalzaher Mohamed S. , Moustafa Sayed S. R. , Yassien Mohamed 
Published: June 2024

AbstractThe Red Sea region, situated between the Arabian and African Plates, experiences significant seismic activity due to its tectonic dynamics, with earthquakes ranging from minor to potentially destructive events. This study aims to develop smoothed seismicity models for the region by using an enhanced seismic catalog specific to the Red Sea. This facilitates a detailed spatial and temporal analysis of seismic events, focusing on seismic source characterization essential for probabilistic seismic hazard assessments. A rigorous declustering method excludes foreshocks and aftershocks, focusing on independent seismic events. The analysis uses a spatial grid (0.1$$^{\circ }$$

∘

cells in latitude and longitude) to determine seismic event rates, which are then refined using various smoothing techniques. Special attention is given to seismic activity within 0–35 kms of depth, leading to distinct rate models that inform urban development and seismic hazard mitigation strategies in the Red Sea area. These models are crucial for improving resilience, safety, and informed decision-making for urban planning and disaster preparedness, addressing the challenges posed by the region’s tectonic and seismic complexities.
On losing certainty
Authors: Ratcliffe Matthew 
Published: June 2024

AbstractThis paper develops a phenomenological account of what it is to lose a primitive and pervasive sense of certainty. I begin by considering Wolfgang Blankenburg’s descriptions of losing common sense or natural self-evidence. Although Blankenburg focuses primarily on schizophrenia, I note that a wider range of phenomenological disturbances can be understood in similar terms—one loses something that previously operated as a pre-reflective, unquestioned basis for experience, thought, and practice. I refer to this as the loss of certainty. Drawing upon and integrating themes in the work of Wittgenstein and Husserl, I propose that losses of certainty centrally involve the inability to tolerate a certain kind of uncertainty. The contrast between having and lacking certainty is to be construed in terms of differing patterns or styles of nonlocalized, practical, bodily anticipation. I conclude by showing how this conception enables us to better understand various different disturbances to which human experience is susceptible.
Stable acceptance for mighty knowledge
Authors: Hawke Peter 
Published: June 2024

AbstractDrawing on the puzzling behavior of ordinary knowledge ascriptions that embed an epistemic (im)possibility claim, we tentatively conclude that it is untenable to jointly endorse (i) an unfettered classical logic for epistemic language, (ii) the general veridicality of knowledge ascription, and (iii) an intuitive ‘negative transparency’ thesis that reduces knowledge of a simple negated ‘might’ claim to an epistemic claim without modal content. We motivate a strategic trade-off: preserve veridicality and (generalized) negative transparency, while abandoning the general validity of contraposition. We criticize various approaches to incorporating veridicality into domain semantics, a paradigmatic ‘information-sensitive’ framework for capturing negative transparency and, more generally, the non-classical behavior of sentences with epistemic modals. We then present a novel information-sensitive semantics that successfully executes our favored strategy: stable acceptance semantics, extending a vanilla bilateral state-based semantics for epistemic modals with a knowledge operator loosely inspired by the defeasibility theory of knowledge.
eGovernment Implementation in Italy. Regional Index for NRRP Goals Evaluation
Authors: Traversa Susanna , Ivaldi Enrico 
Published: June 2024

AbstractThe rapid acceleration of digitalization in response to the Sars-Cov-2 pandemic in 2020 has necessitated the development of policy strategies to manage the new phase of digital transition. The public sector has been particularly impacted during critical pandemic phases, requiring the assurance of uninterrupted essential service delivery to citizens. Despite eGovernment being recognized as a crucial element for digital recovery and innovation by European institutions, there is a need to consider the potential distortive impact of poorly informed digital policies, which could worsen existing territorial inequalities and hamper national economic resilience, as exemplified in the case of Italy. To address this, the present study proposes the creation of a regional eGovernment indicator based on the recovery and resilience goals outlined in M1C1 of the National Recovery and Resilience Plan. This indicator identifies primary functional objectives for the digital transition in Public Administration. The methodology for synthesizing the indicator utilizes the Peña distance method, providing a more robust measurement compared to techniques found in the literature. Additionally, it enables the production of a spatial and temporal comparison of regional performance, offering policymakers a tailored tool to monitor recovery performance at the regional level. The indicator underscores a significant digital divide between northern and southern Italy, highlighting regions like Lazio that exhibit opposing trends compared to their respective macro-areas.
Environmental pollution effect on honey bees and their derived products: a comprehensive analysis
Authors: Margaoan Rodica , Papa Giulia , Nicolescu Alexandru , Cornea-Cipcigan Mihaiela , Kösoğlu Mustafa , Topal Erkan , Negri Ilaria 
Published: June 2024

AbstractSeveral factors, including environmental degradation, air pollution, intense urbanization, excessive agriculture, and climate change, endanger the well-being of animals and plants. One of the major issues with an increasingly negative impact is agricultural contamination with pesticides and antibiotics. Seed coatings with neonicotinoid insecticides used as a protective layer against pests are shown to exceed the permissible limits in most cases. Neonicotinoid compounds bind to nicotinic acetylcholine receptors, therefore affecting the honey bees’ brain. Heavy metals in higher concentrations are lethal for honey bees, and the residue in bee products might pose a threat to human health. Highly effective acaricides used to treat Varroa destructor infestations in honey bee colonies have negative effects on honey bee reproduction, olfaction, and honey production. Furthermore, amitraz and fluvalinate are mostly found in the highest amounts and lead to decreased honey production and reduced colony reproduction, along with decreased learning ability and memory. However, scientific studies have shown that honey bees act as a reliable bio-indicator of environmental pollution. In response to the growing demand for bee products, the effects of adulteration and improper storage conditions have gotten worse and represent a new risk factor. In light of the shifting global economy, it is important to analyze consumer expectations and adjust manufacturing accordingly. By ensuring the manufacture of high-quality, traceable products devoid of drug residues, consumers will be better protected from subsequent health problems. This review’s objectives are based on the necessity of identifying the risks associated with honey bees and bee products.
Graphical abstract
Effective removal of acetamiprid and eosin Y by adsorption on pristine and modified MIL-101(Fe)
Authors: Sakr Mohamed , Adly Mina Shawky , Gar Alalm Mohamed , Mahanna Hani 
Published: June 2024

AbstractIn this work, the efficacy of two metal–organic frameworks (MIL-101(Fe) and NH2-MIL-101(Fe)) in eliminating acetamiprid (ATP) insecticide and eosin Y (EY) dye from aqueous solution is tested. An analysis was conducted on the developed nanocomposite’s optical, morphological, and structural characteristics. The adsorption isotherm, kinetics, thermodynamics, reusability, and mechanisms for ATP and EY dye removal were assessed. NH2-MIL-101(Fe) adsorbed 76% and 90% of ATP pesticide and EY dye, respectively after 10 to 15 min in optimum conditions. For both adsorbents, with regard to explaining the isotherm data, the Langmuir model offered the most accurate description. Moreover, the adsorption of ATP and EY dye is described by the pseudo-second-order kinetic model. The maximum adsorption capacities of ATP and EY dye on MIL-101(Fe) were 57.6 and 48.9 mg/g compared to 70.5 and 97.8 mg/g using NH2-MIL-101(Fe). The greatest amount of ATP and EY dye clearance was obtained at a neutral medium for both adsorbents. The results of this investigation demonstrate the effectiveness of MIL-101(Fe) and NH2-MIL-101(Fe) as effective substances in the adsorption process for removing pesticides and dyes from aqueous solution.
Deep learning–based prediction of compressive strength of eco-friendly geopolymer concrete
Authors: Tanyildizi Harun 
Published: June 2024

AbstractThe greenhouse gases cause global warming on Earth. The cement production industry is one of the largest sectors producing greenhouse gases. The geopolymer is produced with synthesized by the reaction of an alkaline solution and the waste materials such as slag and fly ash. The use of eco-friendly geopolymer concrete decreases energy consumption and greenhouse gases. In this study, the fc (compressive strength) of eco-friendly geopolymer concrete was predicted by the deep long short-term memory (LSTM) network model. Moreover, the support vector regression (SVR), least squares boosting ensemble (LSBoost), and multiple linear regression (MLR) models were devised to compare the forecast results of the deep LSTM algorithm. The input variables of the models were used as the mole ratio, the alkaline solution concentration, the curing temperature, the curing days, and the liquid-to-fly ash mass ratio. The output variable of the proposed models was chosen as the compressive strength (fc). Furthermore, the effects of the input variable on the fc of eco-friendly geopolymer concrete were determined by the sensitivity analysis. The fc of eco-friendly geopolymer concrete was predicted by the deep LSTM, LSBoost, SVR, and MLR models with 99.23%, 98.08%, 78.57%, and 88.03% accuracy, respectively. The deep LSTM model forecasted the fc of eco-friendly geopolymer concrete with higher accuracy than the SVR, LSBoost, and MLR models. The sensitivity analysis obtained that the curing temperature was the most important experimental variable that affected the fc of geopolymer concrete.
In situ methane enrichment with vacuum application to produce biogas with higher methane content
Authors: Sengur Ozlem , Akgul Deniz , Calli Baris 
Published: June 2024

AbstractSludge produced in sewage treatment plants is an important source of organic matter to be used in anaerobic digestion to produce energy-rich biogas. The biogas produced in anaerobic digesters has a critical impact on achieving carbon neutrality and improving energy self-sufficiency. After effective upgrading, biogas can be converted into biomethane with an increased CH4 content, resulting in a higher volumetric energy value. Upgrading biogas to biomethane thus not only improves its energy content but also broadens its potential uses. In this study, it was aimed at enrich CH4 by removing dissolved CO2 from the digestate using a vacuum, leveraging the solubility differences of gases in liquid. In this context, two digesters (R-T and R–C) were operated for 194 days, and the effect of vacuum on in-situ methane enrichment was investigated. The vacuum was only applied to the test reactor (R-T), and the CH4 percentage was increased from 63 to 87, 80, and 75% in the vacuum exposure time intervals of 30, 10, and 5 min, respectively. Extended durations were not tested, as the rate of enrichment decreased sharply after 30 min. The maximum energy requirement of a vacuum application was estimated at 0.124 kWh/m3 methane. Conversely, vacuum application did not cause any deterioration in biogas production, and the methane yields were similar in both reactors.
Mineral composition variation in Boletales mushrooms—indication of soil properties and taxonomic influence
Authors: Niedzielski Przemysław , Siwulski Marek , Szostek Małgorzata , Budka Anna , Budzyńska Sylwia , Krzesłowska Magdalena , Kalač Pavel , Mleczek Mirosław 
Published: June 2024

AbstractThe efficiency of element accumulation depends on numerous factors, where the physico-chemical characteristics of the soil seem to be very important, and the role of taxonomic rank in the accumulation of elements by mushrooms seems to be important. The aim of the study was to compare the mineral composition of 7 species belonging toLeccinumandSuillusgenera, collected between 2019 and 2021 from localizations in the west-central part of Poland. The research aimed to indicate the role of selected soil parameters in stimulating/inhibiting the accumulation of elements by selectedBoletalesmushroom species and to answer the question about the role of species belonging to the genus as an indicator determining the specific mineral composition of fruiting bodies. Soil pH and other soil properties (granulometric composition, organic carbon, degree of organic matter decomposition) may significantly affect mushrooms' mineral composition. Mushroom species belonging toLeccinumgenus exhibited the higher amount of essential major and trace elements than species ofSuillusgenus). It suggests that the affiliation of the studied mushroom species to a specific genus may affect their mineral composition, and the physicochemical properties of the soil may be responsible for the lack of a clear division in the efficiency of element(s) accumulation. Selected species contain high amounts of K, Cu, Fe, and Zn, while others, such as selectedSuillus gravelleifruiting bodies, also contain As and Cd. The results described serve as an introduction to a broader scientific discussion and require many further studies to confirm the role of taxonomic ranks and the influence of soil characteristics on the accumulation of elements by fruiting bodies.Graphical Abstract
The efficacy of animation and visualization in teaching data structures: a case study
Authors: Kogan Genady , Chassidim Hadas , Rabaev Irina 
Published: June 2024

AbstractThe main goal of this study was to evaluate the impact of an animation and visualization of data structures (AVDS) tool on both perceptions and objective test performance. The study involved a rigorous experiment that assessed the usability, acceptability, and effectiveness of the AVDS tool in solving exercises. A total of 78 participants responded to questionnaires and were exposed to the AVDS tool, after which they completed a performance test, half (39) with the AVDS tool (the experimental group) and half (39) without the tool (the control group). Findings showed that the usability of AVDS was good; the experimental group even perceived AVDS usability as excellent. The results show that perceived usefulness, perceived ease of use, and attitudes toward usage jointly led to positive intention to use the AVDS tool. Furthermore, perceived ease of use was a key factor influencing participants’ intention to use AVDS. In addition, the AVDS system improved test results and provided flexibility in use, enhancing learning experience and performance.
Requirement analysis for an AI-based AR assistance system for surgical tools in the operating room: stakeholder requirements and technical perspectives
Authors: Cramer E. , Kucharski A. B. , Kreimeier J. , Andreß S. , Li S. , Walk C. , Merkl F. , Högl J. , Wucherer P. , Stefan P. , von Eisenhart-Rothe R. , Enste P. , Roth D. 
Published: June 2024

Abstract
Purpose
We aim to investigate the integration of augmented reality (AR) within the context of increasingly complex surgical procedures and instrument handling toward the transition to smart operating rooms (OR). In contrast to cumbersome paper-based surgical instrument manuals still used in the OR, we wish to provide surgical staff with an AR head-mounted display that provides in-situ visualization and guidance throughout the assembly process of surgical instruments. Our requirement analysis supports the development and provides guidelines for its transfer into surgical practice.

Methods
A three-phase user-centered design approach was applied with online interviews, an observational study, and a workshop with two focus groups with scrub nurses, circulating nurses, surgeons, manufacturers, clinic IT staff, and members of the sterilization department. The requirement analysis was based on key criteria for usability. The data were analyzed via structured content analysis.

Results
We identified twelve main problems with the current use of paper manuals. Major issues included sterile users’ inability to directly handle non-sterile manuals, missing details, and excessive text information, potentially delaying procedure performance. Major requirements for AR-driven guidance fall into the categories of design, practicability, control, and integration into the current workflow. Additionally, further recommendations for technical development could be obtained.

Conclusion
In conclusion, our insights have outlined a comprehensive spectrum of requirements that are essential for the successful implementation of an AI- and AR-driven guidance for assembling surgical instruments. The consistently appreciative evaluation by stakeholders underscores the profound potential of AR and AI technology as valuable assistance and guidance.