bluuebunny/crossref_metadata_2025_split huggingface dataset:
Εννοιολογική Αλλαγή στις Φυσικές Επιστήμες: Διερεύνηση της Επίδρασης Γνωστικών Μεταβλητών στη Συνεκτικότητα της Γνώσης των Παιδιών
Authors: Κανελλιά Ελένη , Σταμοβλάσης Δημήτριος 
Published: September 2024

Σκοπός της παρούσας έρευνας είναι να συνεισφέρει στην κατανόηση της φύσης της γνώσης των παιδιών πριν υιοθετήσουν την επιστημονική άποψη. Συγκεκριμένα, θα διερευνηθεί εάν οι προϋπάρχουσες αντιλήψεις για τα φυσικά φαινόμενα είναι συνεκτικές ή κατακερματισμένες, εάν η διαδικασία εννοιολογικής αλλαγής αποτελεί γραμμική ή μη-γραμμική διαδικασία και σε ποιο βαθμό αυτή μπορεί να εξηγηθεί από την επίδραση γνωσιακών μεταβλητών της Νεο-Πιαζέτειας Θεωρίας. Επιπλέον, θα εφαρμοστούν προχωρημένες μέθοδοι στατιστικής ανάλυσης προκειμένου να αναδειχθούν ισχυρά επιστημονικά αποτελέσματα. Η παρούσα έρευνα αποτελεί μία καινοτόμο προσπάθεια, καθώς συμπεριλαμβάνει πιθανές προγνωστικές μεταβλητές και επανεξετάζει το συγκεκριμένο κρίσιμο ζήτημα με νέα μεθοδολογικά εργαλεία.
Διερεύνηση των Διασυνδέσεων STEM Πεδίων σε Διδακτική Ενότητα Νανοτεχνολογίας από Μελλοντικούς Εκπαιδευτικούς
Authors: Μπιτσάκη Χαρίκλεια , Σταύρου Δημήτρης 
Published: September 2024

Σε μια διεπιστημονική STEM διδασκαλία η αναγνώριση εννοιών και μεθόδων που παρουσιάζουν κοινή ταυτότητα αλλά και διαφορετική δομή στα επιμέρους επιστημονικά πεδία είναι καίριας σημασίας. Στην παρούσα εργασία θα παρουσιαστούν έννοιες, τεχνουργήματα και μέθοδοι που αναγνωρίζουν μελλοντικοί εκπαιδευτικοί ως διασυνοριακά αντικείμενα και τα χαρακτηριστικά αυτών σε μια STEM ενότητα Νανοεπιστήμης - Νανοτεχνολογίας που αναπτύχθηκε στα πλαίσια του ERASMUS+ προγράμματος “IDENTITIES”. Στην έρευνα συμμετείχαν δώδεκα μελλοντικοί εκπαιδευτικοί από τέσσερις χώρες (Ελλάδα, Ιταλία, Γαλλία και Ισπανία) με υπόβαθρο στα πεδία των Φυσικών Επιστημών, Μαθηματικών και Επιστήμης Υπολογιστών, οι οποίοι παρακολούθησαν ένα εβδομαδιαίο θερινό σχολείο για τη διεπιστημονική STEM προσέγγιση.
Integrated spectrally multiplexed light–matter interface at telecom band
Authors: Zhang Xueying , Zhang Bin , Wei Shihai , Li Hao , Liao Jinyu , Zhou Tao , Deng Guangwei , Wang You , Song Haizhi , You Lixing , Fan Boyu , Fan Yunru , Chen Feng , Guo Guangcan , Zhou Qiang 
Published: September 2024

The light–matter interface is an important building block for long-distance quantum networks. Towards a scalable quantum network with high-rate quantum information processing, it requires to develop integrated light–matter interfaces with broadband and multiplexing capacities. Here we demonstrate a light–matter interface at the telecom band in an integrated system. A five-spectral-channel atomic-frequency-comb photonic memory is prepared on a laser-written Er3+:LiNbO3 chip. The bandwidth of each channel is 4 GHz with a channel spacing of 15 GHz. The signal photons from time-bin entangled photon pairs at the telecom band are sent into the on-chip memory and recalled after a storage time of 152 ns. The entanglement-preserving nature of our integrated quantum interface is assessed by an input/output fidelity of >92% for all five spectral channels. Our light–matter interfaces constitute a notable step forward toward a high-rate quantum network involving integrated devices.
Towards a Holistic Workflow Optimization in the Operating Theater: Exploring Optimal Placements of Robotic Systems
Authors: Adiyaman Cem , Hagenah Jannis , Kundrat Dennis , Keck Tobias , Männel Georg 
Published: September 2024

Abstract
The level of digitalization and automation, including robotic systems, is increasing in modern operating theaters. However, the integration of such systems within an already complex and limited environment creates challenges, such as collaboration with dynamic robots and thus potential collisions. Yet, the placements of robotic systems largely rely on empirical guidelines provided by manufacturers, which do not account for the specific requirements of operating theater layouts or individual surgical procedures. In this work, we propose a framework for optimization of robotic set-ups in the operating theater to address these limitations and to enhance the overall workflow efficiency. By utilizing a simulation-based approach, we aim to determine the optimal placement of each surgical equipment within the constrained operating theater environment. In this study, we set the stage for future efforts and demonstrate the effectiveness of our approach by determining the optimal placement of a LBR iiwa 7 R800 as a surgical assistant for an abdominal surgery. Overall this work lays the groundwork for future research that will accommodate more complex scenarios and is a crucial first step towards a holistic workflow optimization in the operating theater.
6-Degree Vision based Tracking of a Mandible Phantom with Deep Learning
Authors: Boudreault A. J. , Spille J. , Wiltfang J. , Schlaefer A. , Neidhardt M. 
Published: September 2024

Abstract
During maxillofacial surgery, the precise placement of surgical tools is crucial for accurate implant placement. Particularly if multiple implants are needed, e.g., after cancerous bone removal, visual landmarks might not be obtainable. To this end, we propose a vision-based tracking approach with deep learning. Our markerless tracking approach is based on video streams from two cameras for tracking a mandible phantom. We study, to what extent vision-based localization using deep learning is feasible. For real-time 6D pose estimation we propose a Siamese network with a ResNet-18 subnetwork. We acquire a large training dataset with a robot and evaluate the tracking accuracy on partially occluded images. Thereby, we mimic visual information that is accessible during clinical interventions. We report a mean position error of 1.33 ± 1.14mm and a rotation error of 0.86 ± 0.71 deg for partially occluded images. Overall we present a promising tracking approach that is marker-free and robust toward image artifacts.
Deep Learning-Based Liver Vessel Segmentation
Authors: Hille Georg , Jahangir Tameem , Hürtgen Janine , Kreher Rober , Saalfeld Sylvia 
Published: September 2024

Abstract
Liver vessel segmentation in computed tomography represents a highly challenging task due to the imbalanced distribution within the liver parenchyma, the small and branched vessels with decreased image contrast to surrounding tissue and in general, due to the scarcity of highresolution and -contrast images, which hampers the efficient training of deep learning-based approaches. This study applies two state-of-the-art networks, the fully convolutional nnUnet and the transformer-based VT-Unet to three publicly available datasets, 3DIRCADb, one task of the Medical Segmentation Decathlon (MSD) and the more recent LiVS dataset. The nnUnet achieved Dice scores of 0.761, 0.714, and 0.696 on the 3DIRCADb, LiVS, and MSD datasets, respectively. In contrast, the experiments with the VT-UNet resulted in Dice scores of 0.795, 0.713, and 0.610. These findings indicates good accordance of the performance of the nnUnet and the transformer-based VT-Unet, with differences regarding individual datasets. Both network variants show competitive performances regarding the current state-of-the-art, yet the need for large-scale and high-quality datasets becomes evident to further enhance the accuracy of liver vessel segmentation.
Vacuum-based and body-mounted robotic-patient interface with an integrated metasurface for MRI-guided interventions
Authors: Vogt Ivan , Engel Nico , Eisenmann Marcel , Odenbach Robert , Kowal Robert , Düx Daniel , Hensen Bennet , Gutberlet Marcel , Wacker Frank , Rose Georg 
Published: September 2024

Abstract
The increased clinical relevance of image-guided procedures, particularly of interventional magnetic resonance imaging (iMRI), highlights the need for advanced devices and robotics to optimize those procedures. To enable a realistic integration of robotics into the clinical workflow, robotic-patient interfaces (RPI) are required to ensure both functionality and usability. However, current concepts have issues with patient accessibility and safety, user handling, or performing interventions on versatile body regions. This work presents a novel silicone-based RPI to flexibly mount the ’Micropositioning Robotics for Image-Guided Surgery’ (μRIGS) system on differently shaped body regions through vacuum, regulated with an electronic miniature pump. Maximum holding forces of 60N at −0.1 bar and 66N at −0.2 bar relative vacuum pressure were reached depending on the applied human body area and tensile force angles. MRI with the integrated metasurface indicated up to 200% signal enhancement, enabling improved tissue contrast within the first 20mm in depth. The multifunctional design supported the incorporation of the sterile iMRI workflow concept. This RPI enables a realistic integration of future technologies such as miniature robots, tracking markers, and instrument holders into complex interventional workflows. Further long-term studies are needed to evaluate the effects of vacuum application lasting for 1-2 hours on different skin types.
What are the Main Complications When it Comes to the Restitution of the Objects Stolen During the Holocaust in Bosnia and Herzegovina?
Authors: Ćirić Pavlović Ana 
Published: September 2024

Abstract
During World War II, Bosnia and Hercegovina was occupied by the Ustashe-led Independent State of Croatia, a Nazi collaborator par excellence. Ustashe, mostly Croats, Muslims-Bosniaks, and domestic Germans, overwhelmingly participated in the annihilation of more than 85 % of the Bosnian Jewish population during the Shoah. Beside the physical destruction of the community, these Nazi collaborators plundered Jewish assets in an estimated value of over one billion US dollars and robbed priceless cultural artifacts along with the communal archives. While witness accounts agree that looting of most movable property (books, artwork, and other valuables) was carried out in the first days of occupation by the Nazis themselves, the robbery of Jewish property (apartments, houses, businesses) as well as torture and killings of domestic Jews was committed by the Ustashe. What complicates the restitution in this country is the state and memory politics, but also the inexistence of a central registry of stolen items that could be claimed. Moreover, it is of the essence that the GLAM institutions (galleries, libraries, archives, and museums) within Bosnia and the former Yugoslavia region engage in conducting detailed provenance research of their respective collections.
Synthesis and optimization of long-chain fatty acids via the oxidation of long-chain fatty alcohols
Authors: Shi Pengfei , Liu Wensen , Su Hui , Li Yan , Zhu Zhaowu 
Published: September 2024

Abstract
The oxidation of long-chain fatty alcohols with Jones reagent to prepare long-chain fatty acids is an efficient and economical method. The by-product of chromium sulfate is electrolyzed and oxidized to hexavalent chromium, which is recycled to avoid the emission of toxic by-products. In this article, the process conditions for the preparation of carboxylic acid by chromium reagent oxidizing alcohol are optimized, and the effects of various reaction conditions on the experiment are explored. Innovatively, the reaction was optimized by reverse addition. The two synthesis methods are compared by orthogonal experiments, and the optimal reaction conditions for oxidation are determined: the organic solvent of alcohol is added to the acidified Jones reagent by reverse addition; the amount of chromium reagent is 1.5 times the required stoichiometry; the chromium concentration in chromium reagent is 2.5 mol·L−1; the reaction temperature was lower than 30°C and the reaction time was 4 h. Under the optimized reaction conditions, the formation of by-products was effectively inhibited, and the conversion rate of alcohol oxidation to carboxylic acid was increased from 80% to more than 90%.
Nonlinear electrodynamics and its possible connection to relativistic superconductivity: an example
Authors: Bruce Stanley A. 
Published: September 2024

Abstract
This work presents an illustrative example suggesting a potential connection between the Heisenberg–Euler (HE) model of nonlinear electrodynamics (NLED) and relativistic superconductivity. Within a cylindrical coordinate system, we derive nonlinear Maxwell’s equations from the HE Lagrangian to the fourth order in the electromagnetic (EM) field. By considering static electric and magnetic fields with Gaussian radial profiles, we compute the corresponding HE current density. In parallel, we explore relativistic type-II superconductivity in analogy with the Ginzburg–Landau (GL) theory. We calculate the vortex-supercurrent density of the condensate and propose a link between this current and the HE current. This connection enables the derivation of the relativistic order parameter state. The problem considered in this article may contribute to the understanding of superconductivity in strong EM environments within the broader framework of NLED.
At the edge of Neolithic transition: strategies of the Linearbandkeramik farmers in South Bohemia (Czechia)
Authors: Vondrovský Václav , Ptáková Michaela , Šída Petr , Bumerl Jiří , Pták Martin , Kovačiková Lenka , Prach Jindřich , Novák Jan , Budilová Kristýna , Pokorný Petr 
Published: September 2024

AbstractThis project focuses on the subsistence strategies of Early Neolithic communities that inhabited the upland region of South Bohemia. Its results reveal a distinctive trajectory for this peripheral area that was colonised significantly later, brought incoming farmers into close contact with hunter-gatherers and made them adapt their conservative farming practices.
Adaptation of Islamic Finance to the Performance of MSMEs in the Halal Food Industry
Authors: Gunarto Muji , Yanti Pitri 
Published: September 2024

Research Originality: The findings of this research will contribute to the Islamic finance literature by answering the research gap between the relationship between MSME adaptation of Islamic finance implementation and MSME performance and providing practitionerinsight for policymakers and MSMEs in the halal food industry.Research Objectives: This study aims to determine the adaptation of Islamic finance to the performance of MSMEs in the halal food industry. Research Methods: The method used a quantitative and explanatory approach. The number of samples in this study was 212 MSME units taken by simple random sampling (SRS). The number of samples in this study is based on the needs of the analytical tools used. The analysis technique used is the structural equation model (SEM) approach with the help of the LISREL program.Empirical Results: The main findings show that halal industry MSMEs that adapt to Sharia finance tend to have a higher level of innovation than those that do not. Data shows that financing by Sharia principles enables MSMEs to allocate their resources more effectively, strengthening their ability to innovate in products and services. Innovations carried out by halal industry MSMEs that adopt a Sharia financial approach are more consistent with Sharia values, which leads to increased acceptance by Muslim consumers.Implications: MSME halal industry managers may consider adopting Islamic finance strategies as part of their business plans. This adoption includes using Sharia financing, investing according to Sharia principles, and managing their finances according to Sharia values. Managers also need to actively develop networks and collaborate with other stakeholders, including Sharia financial institutions, educational institutions, and other companies in the halal industry ecosystem.JEL Classification: D14, G21, L25How to Cite:Gunarto, M., & Yanti, P. (2024). Adaptation of Islamic Finance to the Performance of MSMEs in the Halal Food Industry. Etikonomi, 23(2), 369 – xx. https://doi.org/10.15408/etk.v23i2.34271.
Zastosowanie obligacji zamiennych do obniżania kosztu kapitału w przedsiębiorstwie na podstawie analizy wybranych instrumentów notowanych na rynku Catalyst
Authors: Rybka Anna 
Published: September 2024

A developing company can obtain capital from two main sources: issuing shares and debt. Both methods have their advantages but also some risk factors. Issuing convertible bonds, a form of hybrid financing, is one way to address the risk. These financial instruments enable a company to decrease its cost of capital while also allowing investors to profit from a conversion premium. Analysis of convertible bonds traded on the Catalyst market shows that the hybrid instruments are the most efficient when the market price of the company is low and issuing shares might not bring about the desired results. Moreover, additional rights incorporated into convertible bonds enable the company to decrease the coupon rate and costs of issuing debt.
Narcotráfico y política en territorio indígena. Resistencia entre los Tsotziles y Tseltales de Chiapas – México
Authors: Varón-Rojas Diego-Hernán , Delgado-López José-Enrique 
Published: September 2024

Introducción: diversos grupos humanos han sido atrapados por las redes de la narcopolítica. Muchas comunidades étnicas, producto de la marginación y la discriminación sistemática desde tiempos coloniales hasta la actualidad, han sido cooptadas por los narcos para su beneficio. Objetivo: analizar el papel que han jugado las comunidades indígenas frente a las interdependencias entre narcos y políticos, en territorios de los Tsotsiles y los Tseltales de los Altos de Chiapas, México. Metodología: se realizó una investigación exploratoria de tipo cualitativo, que incluyó las técnicas de observación participante, entrevistas desestructuradas con habitantes de la zona y revisión de fuentes secundarias. El análisis considera elementos del discurso, presentados siguiendo una secuencia histórica. El estudio se apoyó en la teoría de dependencia de recursos, que reconoce diferentes estrategias para su resistencia. Conclusiones: las comunidades estudiadas han logrado permanecer distantes al poder de los narcos. Por un lado, mediante la estrategia de traslado sigiloso hacia municipios adyacentes a donde han empezado tener presencia los carteles. Y segundo, la cohesión social se logró debido a un fuerte sistema de cargos políticos, que impide a integrantes de organizaciones que compiten por recursos escasos, alcanzar altos niveles de la jerarquía administrativa de las comunidades.
Features of the microbiota for various malignant neoplasms
Authors: Solenova L. G. , Ryzhova N. I. , Antonova I. A. , Belitsky G. A. , Kirsanov K. I. , Yakubovskaya M. G. 
Published: September 2024

The development of omics technologies and sequencing has significantly expanded the understanding of the role of microorganisms that inhabit various human organs and collectively make up its microbiota in the development of cancer. The extensive literature of recent years devoted to various aspects of the participation of the microbiota in carcinogenesis substantiates the relevance of analyzing the impact of its features on the processes of carcinogenesis in various human organs. Purpose of the study. Analysis of literature data on the key issues of the relationship between the human microbiome and the risk of cancer and explore possible prospects for its use in the diagnosis, therapy and prevention of cancer. Materials and methods. A literature search was carried out in the databases NCBI MedLine (PubMed), Scopus, Web of Science, based on an extended list of keywords that included all the localizations of malignant neoplasms (MNs) considered in the review. Original studies, meta-analyses, randomized controlled trials, and reviews published in recent years were used. Results. Recent studies using omics technologies have shown significant differences in the composition of microbial communities of healthy and tumor tissues and have made it possible to characterize the potential tumor microbiota in some types of cancer. The microbiota present in the various organs of the human body forms a network through which it interacts via migration or by forming metabolic axes between organs. Dysbiosis plays an important role in carcinogenesis, and its presence in one organ can negatively affect the condition of other distant organs and contribute to the development of pathological conditions in them. Conclusion. Numerous studies conducted over the past decade have revealed a complex relationship between microorganisms, tumors, and the host, reflecting the diverse effects of the microbiota on various organ- specific types of MNs. Gastrointestinal tract tumors, as well as sites outside it with significant bacterial associations, have been identified for a better understanding of the multifaceted mechanisms by which the microbiota influences cancer. The data obtained so far complement the emerging possibilities of using the microbiota in clinical practice, which represents a new approach to the prevention and treatment of malignant neoplasms.
Algoritmo de optimización multiobjetivo de una región contaminada
Authors: Fedosova Alina , Fedosov Valery 
Published: September 2024

Introducción: En este trabajo se considera un problema de la ecología industrial bajo el enfoque de optimización semi-infinita.
Objetivo: El objetivo es la resolución del conflicto entre las emisiones contaminantes con las normas ambientales para las zonas de una región dada.
Metodología: Se propone una versión del algoritmo SIP2 que, simultáneamente con la disminución de la contaminación, también permite un aumento de las emisiones de las fuentes, de tal forma que permite una cierta libertad en el manejo de contaminación y los elementos que la provocan en la industria, pero velando por el cumplimiento de la normatividad ambiental.
Resultados: Los resultados de dos algoritmos muestran diferentes papeles de las fuentes en la obtención de la contaminación total y como consecuencia la necesidad de los cambios en sus emisiones.
Conclusiones: El algoritmo propuesto ofrece soluciones más rentables en evaluaciones de diseño de infraestructura para áreas con intereses opuestos, como el mantenimiento o el aumento de la producción (medido indirectamente por la generación de emisiones debido al sistema productivo), al tiempo que garantiza el cumplimiento de las normas ambientales restrictivas.
Location of ambulances for Cucuta's emergency medical system
Authors: Caicedo Rolón Alvaro , Ayala Arciniegas Jaime Hernando , Tovar Flórez Jhoan Enrique 
Published: September 2024

Introducción. La localización de las bases de ambulancias es una decisión estratégica en el sistema de emergencias médicas (SEM), que impacta el tiempo de respuesta y la probabilidad de salvar vidas o dejar secuelas en los pacientes que sufren accidentes de tránsito o crisis de una enfermedad.
Objetivo. El propósito de la investigación fue proponer la localización de bases de ambulancias para el SEM, que mejore la oportunidad en la atención pre-hospitalaria en Cúcuta.
Metodología. Primero, se utilizó el método del centro de gravedad para segmentar la ciudad en sub-cuadrantes y determinar ubicaciones alternativas. Segundo, se empleó el sistema de calificación de factores de la localización para evaluar las ubicaciones alternativas. Tercero, se diseñó un modelo programación lineal entera que determinó la localización óptima de ambulancias, que minimiza el número de bases para atender los accidentes de tránsito en un tiempo de respuesta de 8 minutos o menos. Finalmente, Para determinar los tiempos de respuesta se desarrolló un código en Python que utilizó el servicio web Direction API de Google Maps.
Resultados. Se propusieron dos alternativas óptimas de localización, las cuales reducirían el tiempo de respuesta promedio de la situación actual de 10,96 minutos a 5,39 y 5,72, equivalentes a una mejora del 50,82% y 47,81%, respectivamente, y el porcentaje de pacientes atendidos en un tiempo de respuesta de 8 minutos o menos se incrementaría a 85,19% y 78,84%, mejorando el 30,82% de la situación actual.
Conclusiones. Se sugiere la segunda propuesta de localización que consideró cuatro bases, porque facilitaría al SEM el control y la gestión logística de las ambulancias, y mejoraría la oportunidad en la atención pre-hospitalaria en Cúcuta.