bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Odyssey of Women Writers in Antiquity: an example of coeducation and fostering vocational science
Authors: Moreno Soldevila Rosario , González Muñoz Manuel Alejandro , Marina Castillo Alberto , Cuevas Caballero Marta 
Published: November 2024

Abstract
This paper describes four methodological proposals for rescuing from oblivion and highlighting women writers in Graeco-Roman Antiquity. In workshops employing a variety of active methodologies, students become acquainted with Greek writers like Sappho, Diotima of Mantinea and Aspasia, and their Roman counterparts, including Sulpicia and Agrippina the Younger, while also becoming aware of the authorship of these women writers and their lack of visibility. The proposals take the shape of activities aimed at fostering a vocation for science among baccalaureate students in Spain but can also be easily adapted to secondary and even higher education in other educational contexts.
Sensorless contact force estimation and robust impedance control for a quadrotor manipulation system
Authors: Khalifa Alaa , Fanni Mohamed , Khalifa Ahmed 
Published: November 2024

AbstractThe research on aerial manipulation systems has been increased rapidly in recent years. These systems are very attractive for a wide range of applications due to their unique features. However, dynamics, control and manipulation tasks of such systems are quite challenging because they are naturally unstable, have very fast dynamics, have strong nonlinearities, are very susceptible to parameters variations due to carrying a payload besides the external disturbances, and have complex inverse kinematics. In addition, the manipulation tasks require estimating (applying) a certain force of (at) the end-effector as well as the accurate positioning of it. Thus, in this article, a robust force estimation and impedance control scheme is proposed to address these issues. The robustness is achieved based on the Disturbance Observer (DOb) technique. Then, a tracking and performance low computational linear controller is used. For teleoperation purpose, the contact force needs to be identified. However, the current developed techniques for force estimation have limitations because they are based on ignoring some dynamics and/or requiring of an indicator of the environment contact. Unlike these techniques, we propose a technique based on linearization capabilities of DOb and a Fast Tracking Recursive Least Squares (FTRLS) algorithm. The complex inverse kinematics problem of such a system is solved by a Jacobin based algorithm. The stability analysis of the proposed scheme is presented. The algorithm is tested to achieve tracking of task space reference trajectories besides the impedance control. The efficiency of the proposed technique is enlightened via numerical simulation.
Repetitive ultramicrotome trimming and SEM imaging for characterizing printed multilayer structures
Authors: Huang Liyu , Mach Tim P. , Binder Joachim R. , Thelen Richard , Curticean Ronald , Wacker Irene , Schröder Rasmus R. , Gengenbach Ulrich 
Published: November 2024

AbstractUltramicrotomy is a well-established technique that has been applied in biology and medical research to produce thin sections or a blockface of an embedded sample for microscopy. Recently, this technique has also been applied in materials science or micro- and nanotechnology as a sample preparation method for subsequent characterization. In this work, an application of ultramicrotomy for the cross-section preparation of an inkjet-printed multilayer structure is demonstrated. The investigated device is a capacitor consisting of three layers. The top and bottom electrodes are printed with silver nanoparticle ink and the dielectric layer with a ceramic nanoparticle/polymer ink. A 3D profilometer is initially used to study the surface morphology of the printed multilayer. The measurements show that both electrodes exhibit a coffee-ring effect, which results in an inhomogeneous layer structure of the device. To obtain precise 3D information on the multilayer, cross-sections must be prepared. Argon ion beam milling is the current gold standard to produce a single cross-section in good quality, however, the cross-section position within the multilayer volume is poorly defined. Moreover, the milling process requires a significant investment of time and resources. Herein, we develop an efficient method to realize repetitive cross-section preparation at well-defined positions in the multilayer volume. Repetitive cross-sections are exposed by trimming with an ultramicrotome (UM) and this blockface is subsequently transferred into a scanning electron microscope (SEM) for imaging. A combination of custom-modified UM and SEM specimen holders allows repeated transfer of the clamped multilayer sample between instruments without damage and with high positioning accuracy. This novel approach enhances the combination of an established ultramicrotome and a SEM for multilayer sample volume investigation. Thus, a comprehensive understanding of printed multilayer structures can be gained, to derive insights for optimization of device architecture and printing process.
Design and implementation of an inductor based cell balancing circuit with reduced switches for Lithium-ion batteries
Authors: Venkatasatish R. , Dhanamjayulu C. 
Published: November 2024

AbstractElectrical Vehicles (EVs) will eventually lead to reduced availability of fossil fuels and increased asset demand. The efficiency and range of electrically powered vehicles are influenced by the battery. The chemical structure of lithium-ion (LIB) batteries is particularly vulnerable to overcharging and deep discharge, which may damage the battery, reduce its life, and even cause dangerous things. Hence an efficient management system known as a battery management system (BMS) is needed to balance, protect, and manage the energy of the battery pack. Cell balancing is the most important of the three in terms of the longevity of the battery structure. Cells in a battery pack are imbalanced during charging and discharging due to the design parameters of cells in a battery pack which results in battery degradation and an increase in temperature. Hence efficient cell balancing techniques are needed to balance the battery pack to improve the safety level and life. Hence, the paper proposed a novel 2-layer multi-inductor active cell balancing (2 L MI-ACB) and single-layer multi-inductor active cell balancing with a state of charge-based controller. In the MATLAB/SimScape environment, the inductor-based balancing method for 52 V battery systems is implemented based on the comparison, and the results are explained. The model is tested with OPAL-RT 5700 real-time HIL Simulator and compared with simulation results to show its effectiveness.
Piezo channels in JG cells do not regulate renin expression or renin release to the circulation
Authors: Nagalakshmi Vidya K. , Smith Jason P. , Matsuoka Daisuke , Gomez Roberto Ariel , Sequeira-Lopez Maria Luisa Soledad 
Published: November 2024

Abstract
Renin-expressing juxtaglomerular (JG) cells possess an intrinsic pressure-sensing mechanism(s) that regulates renin synthesis and release in response to changes in perfusion pressure. Although we recently described the structure of the nuclear mechanotransducer that controls renin transcription, the acute pressure-sensing mechanism that controls the rapid release of renin has not been identified. In JG cells there is an inverse relationship between intracellular calcium and renin release, the ‘calcium paradox’. Since the discovery of Piezo2 as the ‘touch’ receptors, there has been a significant interest in exploring whether they are also involved in other tissues beyond the skin. Given that Piezo receptors are permeable to calcium upon mechanical stimuli, it would be reasonable to hypothesize that Piezo2 controls renin synthesis and/or release in JG cells. To test this hypothesis, we used a variety of novel mouse models and JG cell-specific techniques to define whether Piezo2 controls renin expression and/or release in JG cells. Our in vivo data using constitutive and inducible Cre driver mouse lines and a variety of novel experimental approaches indicate that Piezo2 channels are not necessary for renin synthesis or release in JG cells during normal conditions or when homeostasis is threatened by hypotension, sodium depletion, or inverse changes in blood pressure. Furthermore, Piezo1 channels do not compensate for the lack of Piezo2 in JG cells. Efforts should be devoted to identifying the acute mechanosensory mechanisms controlling renin release.
Prediction of trumpet performance descriptors using machine learning
Authors: Mohamed Mimoun , Fréour Vincent , Vergez Christophe , Arimoto Keita , Emiya Valentin , Cochelin Bruno 
Published: November 2024

Based on a physical model of a trumpet’s functioning, the numerical continuation approach is used to construct the model’s bifurcation diagram, which depends on the instrument’s acoustic characteristics and the musician’s parameters. In this article, we first identify 10 descriptors that account for the main characteristics of each bifurcation diagram. It is first shown that these descriptors can be used to classify four professional trumpets with a recognition rate close to 100%. The XGBoost algorithm is used for this purpose. Secondly, we evaluate the ability of different classical machine learning algorithms to predict the values of the 10 descriptors given the acoustic characteristics of a trumpet and the value of the musician’s parameters. The best surrogate model is obtained using the LassoLars method, trained on a dataset of 12,000 bifurcation diagrams calculated by numerical continuation. Training takes just 2 min, and real-time predictions are accurate, with an error of approximately 1%. A software interface has been developed to enable trumpet designers to predict the values of the descriptors for a trumpet being designed, without any knowledge of physics or nonlinear dynamics.
Neutrino Experiments at the LHC
Authors: Kose Umut 
Published: November 2024

The LHC neutrino experiments, FASER and SND@LHC were approved by the CERN Research Board in 2019 and 2021, respectively, to operate during LHC Run 3. Both experiments began taking physics data in July 2022 and have since recorded approximately 70 fb-1 of data from proton-proton collisions with a center-of-mass energy of 13.6 TeV. These experiments achieved the first direct observation of neutrino interactions at the LHC, using the active electronic components of their detector. Additionally, FASERν, using 2% of its data sample, detected the highest-energy νe and νµ interactions ever observed from an artificial source and made the first measurements of neutrino interaction cross-sections over energy ranges of 560–1740 GeV for νe and 520–1760 GeV for νµ.
Additionally, both experiments are actively searching for physics beyond the Standard Model, with FASER already publishing initial results on Dark Photons and Axion-like Particles. In this report, we will discuss the status of the experiments, including the detector concept, performance, and the first physics results from Run 3 data.
A Case of Thoracic SMARCA4-Deficient Undifferentiated Tumor on 18F-FDG PET/CT
Authors: Zhao Gege , Huang Zhongke 
Published: November 2024

AbstractA 65-year-old man, who denied a smoking history, presented with chest distress and pain persisting for over a week. A contrast-enhanced chest CT scan revealed a large irregular mass in the right thoracic cavity with heterogeneous enhancement. The 18F-FDG PET/CT showed a large mass in the right thoracic cavity with heterogeneous markedly high FDG uptake. The patient subsequently underwent a bronchoscopic-guided mucosal biopsy at the opening of the right upper lobe. The histological and immunohistochemical findings were consistent with thoracic SMARCA4-deficient undifferentiated tumor.
Bewertung von DiGAs in der Diabetologie
Authors: Roth Lena M.K. , Verket Marlo D. , Steckhan Nico , Vité Sabrina , Müller-Wieland Dirk , Schwarz Peter E.H. 
Published: November 2024

ZUSAMMENFASSUNGLena M.K. Roth1, Marlo D. Verket2, Nico Steckhan1, Sabrina Vité2, Dirk Müller-Wieland2, Peter E.H. Schwarz1,2 für die Kommission Digitalisierung der Deutschen Diabetes Gesellschaft (DDG)Hintergrund: Das wachsende Angebot digitaler Gesundheitsanwendungen (DiGAs) eröffnet neue Möglichkeiten in der Patientenversorgung, bringt aber auch neue Herausforderungen mit sich. Das DiGA-Verzeichnis des BfArM bietet zwar eine Übersicht über verfügbare DiGAs, doch fehlen bisher leicht zugängliche Hilfsmittel zur Bewertung ihrer Effektivität im klinischen Alltag.Methode: Die Kommission Digitalisierung der Deutschen Diabetes Gesellschaft (DDG) hat einen Kriterienkatalog für digitale Diabetes-Therapien entwickelt, um die Auswahl geeigneter Anwendungen für Behandelnde zu erleichtern und langfristig die Qualität digitaler Therapien zu verbessern. Hierzu wurden im Rahmen von Expertenrunden bestehende Qualitätsstandard und validierte Projekte zur Bewertung unterschiedlicher Aspekte von DiGAs extrahiert und zusammengefasst. Anschließend wurde die Relevanz durch eine Befragung von DDG-Mitgliedern bewertet.Ergebnisse: Insgesamt konnten 83 Items identifiziert und 9 Kategorien zugeordnet werden sowie deren Relevanz bewertet werden. In Diskussionen und der Befragung haben sich vor allem die Kategorien Evidenz und Ziel als besonders relevant herausgestellt.Schlussfolgerung: Dieser Artikel stellt den Entwicklungsprozess sowie die Ergebnisse des Bewertungskatalogs für DiGAs vor. Langfristig soll dieser in der Praxis eine leicht zugängliche Hilfestellung im zunehmend digitalen Versorgungsalltag des Diabetes in Deutschland darstellen.
Vascularized Palmaris Longus Tendon Graft in Delayed Tendon Injuries of Hand
Authors: Handoo Yog Raj 
Published: November 2024

AbstractDelayed tendon injuries of the hand often require auto tendon grafts, the success depending largely on tendon type, its own synovial cover or provided by tendon bed, and tendon bed vascularity. Tendon graft healing has been extensively studied, where tendon does increase its vascular response to trauma, attrition, or degeneration. Initially surviving through synovial fluid imbibition, followed by vascular invasion from surrounding tissues. Tendon grafts without synovial covering or in hypovascular/scarred beds have increased vascular response in the form of flimsy tissue which vascularises tendon grafts but later, they become adhesions, restricting tendon movement and final functional finger results. To overcome this hypovascular state, tendon grafts are substituted with vascularized tendon grafts. We present two cases of vascularized palmaris tendon graft in delayed tendon injuries of hand having hypovascular tendon beds, along with operative technique and results along discussion and conclusion.
Influencing machines: Trevor Paglen and Anthony Downey
Authors: Paglen Trevor , Downey Anthony 
Published: November 2024

AbstractHow do you train an artificial intelligence (AI), or automated image processing model, to classify and recognize images? This question is central to Trevor Paglen’s Adversarially Evolved Hallucination series (2017–ongoing), a project that employs a generative adversarial network (GAN) to classify, identify and crucially, produce unique images. Paglen’s series demonstrates how images produced by AI image processing platforms—in this instance, a GAN—are, despite claims, never predictable or, indeed, accurate in their classifications. A significant indicator of this unreliability is evident in the potential for GANs, alongside other generative AI (GenAI) models, to hallucinate and erroneously classify images. Notwithstanding this systemic failing, automated image processing platforms remain central to classification tasks, including those associated with facial recognition and surveillance. They remain, for that reason, central to defining, if not pre-defining, how we perceive and look at the world through automated models of machine vision. Encouraged to see like machines, or at least take their classifications seriously and act upon them accordingly, we now inhabit a realm of perception defined by “machine realism”, if not algorithmic delusion. Enquiring into how we can better understand the degree to which AI encodes our perception of the world, it is this regimen of “machine realism” that Paglen and Downey explore throughout the following conversation: If AI models of image perception replace ocular-centric ways of seeing, they ask, do these apparatuses have the capacity to not only (pre)define but, in time, further estrange and alienate us from the world?
A novel approach for observing band gap crossings using the SIMS technique in Pb1−x
Sn
x
Te
Authors: Khosravizadeh Zeinab , Dziawa Piotr , Dad Sania , Dabrowski Andrzej , Jakiela Rafał 
Published: November 2024

Abstract
This paper introduces a pioneering application of secondary ion mass spectrometry (SIMS) for estimating the electronic properties of Pb1−x
Sn
x
Te, a compound categorized as a topological crystalline insulator. The proposed approach marks the first application of SIMS for such estimations and focuses on investigating variations in ionization probabilities and shifts in the energy distribution of secondary ions. The ionization probabilities are influenced by pivotal parameters such as the material's work function and electron affinity. The derivation of these parameters hinges upon the energy gap's positioning relative to the vacuum level for varying values of

within the Pb1−x
Sn
x
Te compound. The findings elucidate noteworthy alterations in SIMS signals, particularly near the critical point of band-gap closing.
Impact of Structural Design of Knitted Fabrics on Shielding from Radiation of Wi-Fi Technologies
Authors: Grecka M , Baltina I , Blums J , Eidaks J 
Published: November 2024

Abstract
The goal of the study is to determine and compare the attenuation of electromagnetic waves at 2.4 - 2.5 GHz frequency between plain single jersey and 1x1 rib knitted fabric. For knitting the samples, three different types of metal-contained yarns, their combinations, and cotton yarn were used. Two horn antennas and a network analyzer were used to characterize the transmission of the samples in the frequency range of 2.4-2.5 GHz. Obtained results show, that in mentioned frequency range single jersey knitted samples attenuate better than the rib samples.
Design and Simulation of Three-Band Microstrip Resonator Bandpass Filters for Wireless Communication Systems
Authors: Andreica Sergiu , Munteanu Calin , Constantinescu Claudia , Pacurar Claudia , Giurgiuman Adina , Gliga Marian , Dusa Sabin 
Published: November 2024

Abstract
This research focuses on the design, simulation, and practical implementation of three-band microstrip resonator bandpass filters for wireless communication systems. Key parameters targeted in optimizing these filters include coupling coefficient, external quality factor, and fractional bandwidth, among others. Using ANSYS HFSS software, the electromagnetic behavior of the filters was analyzed to enhance their design. The proposed filters were fabricated on RT/Duroid 5880 substrate and experimentally validated using a vector network analyzer. Experimental results were compared with simulations, demonstrating satisfactory performance at specific frequencies relevant to Wi-Fi, 5G, and radar applications. Additionally, a comparative study with other similar filters from the literature was conducted to evaluate their performance.
Evaluation of the head exposure to a static magnetic field while walking around 1.5T and 7T MRI magnets using single and spatially distributed Hall probes
Authors: Zradziński Patryk , Karpowicz Jolanta , Quirin Thomas , Jeker Dominic , Pascal Joris , Stępniewski Andrzej , Gryz Krzysztof 
Published: November 2024

Abstract
The aim of this study was to compare the use of static magnetic field (SMF) body-worn exposure monitors equipped with single or spatially distributed probes. The SMF exposure monitor allow to study the time-pattern of head movement-related exposure to SMF (B, mT; dB/dt, mT/s) while active near 1.5 T and 7 T magnetic resonance imaging (MRI) magnets. When analysing the distribution of B-field samples recorded during a simple walk around MRI magnets, using relevant statistical tests it was found that the results recorded by various probes are statistically significantly different. The observed scale of differences between the results from various probes revealed the possible misclassification of localised exposure of particular head sections when only a single probe is used to evaluate exposure (especially with respect to dB/dt values). Larger differences between probes were found in recordings near MRI magnets of smaller dimensions (1.5 T).
An innovative mixed reality approach for Robotics Surgery
Authors: Rus Gabriela , Al Hajjar Nadim , Zima Ionut , Vaida Calin , Radu Corina , Chablat Damien , Ciocan Andra , Pîslă Doina 
Published: November 2024

Abstract
Robotic-assisted procedures offer numerous advantages over traditional approaches, including improved dexterity, reduced fatigue, minimized trauma, and superior outcomes. However, the main challenge of these systems remains the poor visualization and perception of the surgical field. The goal of this paper is to provide an innovative approach concerning an application able to improve the surgical procedures offering assistance in both preplanning and intraoperative steps of the surgery. The system has been designed to offer a better understanding of the patient through techniques that provide medical images visualization, 3D anatomical structures perception and robotic planning. The application was designed to be intuitive and user friendly, providing an augmented reality experience through the Hololens 2 device. It was tested in laboratory conditions, yielding positive results.
Wheelchair posture correction equipment
Authors: Alina-Elena Ver , Istvan Ver , Dan Mandru Silviu 
Published: November 2024

Abstract
This paper presents an equipment for the detection and correction of the vicious posture of the wheelchair users, as well as of people who spend more time in a sitting position and need to correct their posture. Its second action is to prevent / early detect of bedsores in the sitting area. Based on the structure and components of the equipment, its functionality is emphasized and the developed prototype is presented. Some potential applications of the proposed equipment are described, for five different wheelchair vicious postures and our initial results are given.
Continuous Transfer Function Modeling for Predicting the COVID-19 Spread
Authors: Stancioi Cristina-Maria , Muresan Vlad , Abrudean Mihail , Stelian Munteanu Mihai , Sita Valentin 
Published: November 2024

Abstract
In this paper, Covid-19, a transmissible virus that is spreading over the globe, represents undoubtedly one of the most profound incidents in human history, influencing people’s everyday activities for an extended period of time. Coronaviruses are among the most common infections which harm the human respiratory system. SARS-CoV-2 is mostly transmitted by droplets in the air, especially aerosols, produced by a COVID-19 infected person who breathes in close vicinity to other individuals, sneezes, talks or coughs. The data available at the moment enables significant modelling advancements for the prediction and simulation of the infectious disease dynamic transmission. Quantifying and filtering the collected data is a vital aspect of this research. The current study gives valuable insights for the development of mathematical models for estimating and predicting, with a focus on continuous transfer function models, using data collected from Romanian territory. By taking into account the information received, the structural parameters of the suggested mathematical models are calculated, and the power and effectiveness of the obtained models are tested using simulation.