bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Trust and Optimal Energy Efficient Data Aggregation Scheme for Wireless Sensor Networks Using Qgaoa
Authors: kumar Nandha , Srimanc P. 
Published: June 2023

Abstract
In recent years, Wireless Sensor Networks (WSNs) have become a key technology for monitoring and tracking applications in a wide application range. A wireless sensor network (WSN) senses the environment, collects data, and sends it to a base station (BS) for analysis. A fundamental challenge in designing WSNs is maximizing their lifetimes, especially when energy is limited. Managing trust in the WSN is also a difficult task because trust is used when collaboration is critical to achieving reliable communication. As a result, this paper proposed a secure and energy-aware data aggregation and optimal routing scheme for WSNs based on the Quantum behaviour and Gaussian Mutation based Archimedes Optimization Algorithm (QGAOA). The proposed system comprises three parts: cluster formation, cluster heads (CHs) selection, and optimal routing. Initially, clusters are formed using the Voronoi-included K-means clustering algorithm (VKMCA). Then CHs are selected, and optimal routing is selected using QGAOA. Simulations are carried out to analyze the performance effectiveness of the proposed system with existing related techniques. The results revealed that the proposed system outperformed existing techniques regarding network lifetime (NLT), energy consumption (ECP), throughput, delay, and packet delivery rate (PDR) factors.
Anaplerotic nutrient stress drives synergy of angiogenesis inhibitors with therapeutics targeting tumor metabolism
Authors: Khadka Sunada , Lin Yu-Hsi , Ackroyd Jeffrey , Chen Yi-An , Sheng Yanghui , Qian Wubin , Guo Sheng , Chen Yining , Behr Eliot , Barekatain Yasaman , Uddin Md. Nasir , Arthur Kenisha , Yan Victoria , Chang Qing , Poral Anton , Tran Theresa , Hsu Wen-Hao , Chaurasiya Surendra , Georgiou Dimitra , Asara John , Barthel Floris , Millward Steven , DePinho Ronald , Muller Florian 
Published: June 2023

Abstract
Tumor angiogenesis is a cancer hallmark, and its therapeutic inhibition has provided meaningful, albeit limited, clinical benefit. While anti-angiogenesis inhibitors deprive the tumor of oxygen and essential nutrients, cancer cells activate metabolic adaptations to diminish therapeutic response. Despite these adaptations, angiogenesis inhibition incurs extensive metabolic stress, prompting us to consider such metabolic stress as an induced vulnerability to therapies targeting cancer metabolism. Metabolomic profiling of angiogenesis-inhibited intracranial xenografts showed universal decrease in tricarboxylic acid cycle intermediates, corroborating a state of anaplerotic nutrient deficit or stress. Accordingly, we show strong synergy between angiogenesis inhibitors (Avastin, Tivozanib) and inhibitors of glycolysis or oxidative phosphorylation through exacerbation of anaplerotic nutrient stress in intracranial orthotopic xenografted gliomas. Our findings were recapitulated in GBM xenografts that do not have genetically predisposed metabolic vulnerabilities at baseline. Thus, our findings cement the central importance of the tricarboxylic acid cycle as the nexus of metabolic vulnerabilities and suggest clinical path hypothesis combining angiogenesis inhibitors with pharmacological cancer interventions targeting tumor metabolism for GBM tumors.
Protocol for Alberta Innovative Disabilities Program (AIDP): Community-based Acupuncture Services Model to Meet the Recovery-oriented Needs of Persons with Disabilities
Authors: Lu Mingshan , Sharmin Sumaiya , Cong Yingying , Feng Shengkung , Li Yang , Tao Yong , Wang Helen , Xia Meng , Xia Xin , Xu Ning , Peng Laura , Xu Bentong 
Published: June 2023

Abstract

Background
The provision of proper care for persons with disabilities is critical to their overall well-being and social inclusion. However, people with disabilities often encounter various challenges, including access to healthcare and employment opportunities. Traditional Chinese medicine, such as acupuncture, has shown promising results in improving the symptoms associated with developmental disabilities and chronic pain. To support individuals with disabilities in Alberta, we propose the Alberta Innovative Disabilities Program (AIDP). AIDP offers evidence-based acupuncture services, free of charge, to individuals with various disabilities. The program aims to enhance the employability and re-employment of individuals with disabilities by improving their overall wellness, function, self-esteem, resilience, and social inclusion.
Methods
This study aims to investigate the impact of acupuncture treatments on the physical and mental well-being of individuals with disabilities in Alberta. Participants who have not received acupuncture treatments within the last 3 months and are comfortable taking this treatment will be recruited using posters, flyers, and outreach strategies. The intervention will include up to 12 free acupuncture treatments tailored to each participant's needs to improve their overall health and quality of life. Validated survey instruments will be used to collect comprehensive data on the participants' mental and physical well-being at the first consultation session, after the 6th and 12th treatment sessions, and three and six-months post-treatment. The primary outcome variables include patients' pain, quality of sleep, mental health, quality of life, and productivity. The secondary outcome variables include patients' general health care utilization.
Discussion
This program has the potential to enhance the quality of life for people with disabilities by catering to their physical, mental, and emotional needs. The study could also make significant contributions to healthcare policy and decision-making by providing valuable insights and a foundation for future research.
Trial Registration
The AIDP study, which involves human participants, has received ethical clearance from the Conjoint Health Research Ethics Board (CHREB) at the University of Calgary (UofC) with ethics ID: REB 21-2050.
Use, applicability and, dissemination of patient versions of clinical practice guidelines in oncology in Germany: A qualitative interview study with healthcare providers
Authors: Wahlen Sarah , Breuing Jessica , Becker Monika , Bühn Stefanie , Hauprich Julia , Könsgen Nadja , Meyer Nora , Blödt Susanne , Carl Günther , Follmann Markus , Frenz Stefanie , Langer Thomas , Nothacker Monika , Schaefer Corinna , Pieper Dawid 
Published: June 2023

Abstract
Background
People with cancer have high information needs; however, they are often inadequately met. Patient versions of clinical practice guidelines (PVGs), a special form of evidence-based information, translate patient-relevant recommendations from clinical practice guidelines into lay language. To date, little is known about the experience of PVGs from healthcare providers’ perspective in healthcare.
Methods
Twenty semi-structured telephone interviews were conducted with oncological healthcare providers in Germany between October and December 2021. Interviews were recorded and transcribed verbatim. Mayring’s qualitative content analysis with MAXQDA software was utilised to analyse the data.
Results
A total of 20 healthcare providers (14 female, 6 male), mainly working as psychotherapists/psycho-oncologists and physicians, participated. Most participants (75%) were aware of the existence of PVGs. The content was predominantly perceived as comprehensible and relevant, whereas opinions on the design and format were mixed. The perceived lack of up-to-date information limited participants' trust in the content. Most felt that PVGs positively impact healthcare owing to the fact that they improve patients’ knowledge about their disease. Additionally, PVGs served as a guide and helped healthcare providers structure physician–patient talks. Healthcare provider’s unawareness of the existence of PVGs was cited as an obstructive factor to its dissemination to patients.
Conclusion
Limited knowledge of the existence of PVGs among healthcare providers, coupled with alternative patient information, hinders the use and dissemination of PVGs in healthcare. However, the applicability of PVGs seemed to be acceptable owing to their content and good comprehensibility, especially with respect to physician–patient communication.
A framework for creating systems capable of adapting and dealing with norms based on software agents
Authors: Viana Marx , Alencar Paulo , Cowan Donald , Lucena Carlos 
Published: June 2023

Abstract
The software for distributed intelligent systems, also known as Multi-agent Systems (MASs), must possess the capability to comply with environmental constraints, such as norms, and exhibit self-adaptive mechanisms to autonomously modify their behavior in response to contextual changes and handle adverse situations independently. However, there is a lack of comprehensive understanding of the concepts of self-adaptation and normative systems, as well as their behavior and interactions, which is often not adequately supported by software tools. This research introduces an extension to the Framework for Normative Agent Java Simulation (JSAN), enabling implement normative adaptive agents based on an architecture capable of dealing with norms through self-adaptation. The extended framework provides support for the key properties, namely self-adaptation, norms, and normative reasoning. To validate the efficacy of this approach, a virtual marketplace study case is presented, showcasing the agents' ability to adapt to norms while facilitating user transactions and product purchases.
Noncontact human-machine interaction for air-writing with ultrasound technology
Authors: Lv Dongze , Qu Mengjiao , Shi Linjin , Wu Kaifan , Zhou Jie , Fu Yongqing , Xie Jin 
Published: June 2023

Abstract
With rapid development of internet of things and virtual reality (VR), sensors based on human-machine interaction (HMI) are crucially required to have attributes of natural and intuitive operation experience using various adaptable and hygienic noncontact techniques. In this study, we develop a real-time noncontact HMI system for air-writing based on piezoelectric micromachined ultrasonic transducers (pMUTs), which have great advantages including easy integration, miniaturization, low power consumption, and less influences by environmental factors such as light or sound. However, pMUTs have problems of weak signals and limited measurement range for complex gesture recognitions. To address these issues, we propose a machine learning algorithm which effectively fuses multiple features of time-of-flight, voltage amplitude, and echo energy and significantly increase the detection range and accuracy of pMUTs for arbitrary gesture recognition. We demonstrate real-time computer control to search and browse websites simply using only one finger air-writing with a recognition accuracy of 96.62% for 16 gestures of characters (including numbers, letters, and symbols) within a distance range of 15 cm. We believe our method revolutionize functionalities and adaptabilities of noncontact HMI in VR, smart home and vehicle, smart cities, and healthcare.
Learning pharmacometric covariate model structures with symbolic regression networks
Authors: Wahlquist Ylva , Sundell Jesper , Soltesz Kristian 
Published: June 2023

Abstract
Efficiently finding covariate model structures that minimize the need for random effects to describe pharmacological data is challenging. The standard approach focuses on identification of relevant covariates, and present methodology lacks tools for automatic identification of covariate model structures. Although neural networks could potentially be used to approximate covariate-parameter relationships, such approximations are not human-readable and come at the risk of poor generalizability due to high model complexity.
In the present study, a novel methodology for simultaneous selection of covariate model structure and optimization of its parameters is proposed. It is based on symbolic regression, posed as an optimization problem with smooth loss function. This enables training the model through back-propagation using efficient gradient computations.
Feasibility and effectiveness is demonstrated by application to a clinical pharmacokinetic data set for propofol, containing infusion and blood sample time series from 1,031 individuals. The resulting model is compared to a published state-of-the-art model for the same data set. Our methodology finds a covariate model structure and corresponding parameter values with a slightly better fit, while relying on notably fewer covariates than the state-of the-art model. Unlike contemporary practice, finding the covariate model structure is achieved without an iterative procedure involving manual interactions.
Reachability of Koopman Linearized Systems Using Explicit Kernel Approximation and Polynomial Zonotope Refinement
Authors: Bak Stanley , Bogomolov Sergiy , Hencey Brandon , Kochdumper Niklas , Lew Ethan , Potomkin Kostiantyn 
Published: June 2023

Abstract
Koopman operator linearization approximates nonlinear systems of differential equations with higher-dimensional linear systems. For formal verification using reachability analysis, this is an attractive conversion, as highly scalable methods exist to compute reachable sets for linear systems. However, two main challenges are present with this approach, both of which are addressed in this work. First, the approximation must be sufficiently accurate for the result to be meaningful, which is controlled by the choice of observable functions during Koopman operator linearization. We formulate a more systematic approach for observables generation for black box systems using a two explicit kernel approximation methods: random Fourier features and Gaussian quadrature features. We also utilize a data-dependent reweighting to reduce the number of features by roughly 2-3 times, consequently speeding up reachability analysis while maintaining comparable accuracy. Second, although the dynamics of the higher-dimensional system is linear, simple convex initial sets in the original space can become complex non-convex initial sets in the linear system due to the nonlinear observable functions. We overcome this using a combination of Taylor model arithmetic and polynomial zonotope refinement. Compared with prior work, the result is more efficient, more systematic, and more accurate.
Semi-analytical estimates for the chaotic diffusion in the Second Fundamental Model of Resonance. Application to Earth's navigation satellites
Authors: Legnaro Edoardo , Efthymiopoulos Christos , Harsoula Maria 
Published: June 2023

Abstract
We discuss the applicability of the Melnikov and Landau-Teller theories in obtaining semi-analytical estimates of the speed of chaotic diffusion in systems driven by the separatrix-like stochastic layers of a resonance belonging to the `second fundamental model' SFM2. Stemming from the analytic solution for the SFM in terms of Weierstrass elliptic functions, we introduce stochastic Melnikov and Landau-Teller models allowing to locally approximate chaotic diffusion as a sequence of uncorrelated `jumps' observed in the time series yielding the slow evolution of an ensemble of trajectories in the space of the adiabatic actions of the system. Such jumps occur in steps of one per homoclinic loop. We show how a semi-analytical determination of the probability distribution of the size of the jumps can be arrived at by the Melnikov and Landau-Teller approximate theories. Computing also the mean time required per homoclinic loop, we arrive at estimates of the chaotic diffusion coefficient in such systems. As a concrete example, we refer to the long-term diffusion of a small object (e.g. Earth navigation satellite or space debris) within the chaotic layers of the so-called 2g + h lunisolar resonance, which is of the SFM type. After a suitable normal form reduction of the Hamiltonian, we compute estimates of the speed of diffusion of these objects, which compare well with the results of numerical experiments.
Floristische Untersuchung der Buhnen des Niederrheins bei Köln und Leverkusen
Authors: Caspers Norbert 
Published: June 2023

Die Makrophytenflora der Buhnen des Niederrheins im Streckenabschnitt Köln-Leverkusen (TK 25 5007 u. 4907) wurde in den Jahren 1983 und 1984 erfaßt. Aufgrund der mosaikartigen Verteilung unterschiedlicher Substrattypen (Steine, Kiese, Sand, Schlamm) und Nährstoffgehalte stellt sich im Buhnenbereich auf engstem Raum eine artenreiche pflanzliche Besiedlung ein, in der auch adventive Elemente ihren Platz finden. Artenzusammensetzung und Deckungsgrad dieser pflanzensoziologisch uneinheitlichen Gruppierungen hängen in entscheidendem Maße vom floristischen Umfeld, von klimatischen und hydrologischen Bedingungen während der Vegetationsperiode ab. Als Besonderheiten sind die „Rote Liste“-Arten Hyoscyamus niger, Inula britannica und Pulicaria vulgaris zu nennen - alle Gefährdungsklasse 3 - sowie die Vorkommen von Butomus umbellatus, Chenopodium botrys, Cyperus fuscus und der Neophyten Abutilon theophrasti, Coriandrum sativum und Solanum nitidibaccatum.
Landschaftsökologische Analyse und Diagnose von Heidemooren für die Landschaftsplanung im deutsch-niederländischen Grenzraum (Naturpark Schwalm-Nette)
Authors: Kartte Petra , Brunotte Ernst 
Published: June 2023

Heidemoore sind nährstoffarme Moore mit hochmoorartiger oder hochmoorähnlicher Vegetation. Als „quasi-natürliche“ Feuchtbiotope stellen sie akzessorische Elemente des anthropogenen Ökosystems „Heide“ dar und sind somit gleichermaßen eine Folgeerscheinung der vorwiegend mittelalterlichen und frühneuzeitlichen Überweidung und Holznutzung, welche die natürlichen Stieleichen-Birkenwälder (Betulo-Quercetum) fast vollständig vernichtete. Es ist unser Ziel, vor dem Hintergrund sowohl der Natur- wie auch der Kulturlandschaftsentwicklung des Grenzwaldes detaillierte Aussagen über die Bedeutung und Schutzwürdigkeit der Heidemoore zu machen und dementsprechende Schutz-, Entwicklungs- und Pflegemaßnahmen vorzuschlagen. Dargestellt werden zunächst die speziellen Voraussetzungen für die Heidemoorbildung sowie - schwerpunktmäßig - die Vegetationseinheiten. Ihre Untersuchung erfolgte nicht zuletzt in Hinblick auf Degradierungserscheinungen, von denen die Heidemoore aufgrund von Eingriffen, vor allem aber durch Eutrophierung sowie natürliche und anthropogene Grundwasserabsenkungen betroffen sind.
Bienen (Hymenoptera, Apidae) und Schwebfliegen (Diptera, Syrphidae) nährstoffarmer Wiesen im Naturpark Hohes Venn-Nordeifel
Authors: Riedel Judith , Schindler Matthias , Ssymank Axel 
Published: June 2023

Im Naturpark Hohes Venn-Nordeifel wurden 2008 auf drei Bärwurzwiesen im Fuhrtsbachtal und Wüstebachtal insgesamt 30 Bienenarten und 66 Schwebfliegenarten nachgewiesen. Auf drei Feuchtheiden bei Simmerath und Kalterherberg wurden insgesamt 18 Bienenarten und 47 Schwebfliegenarten nachgewiesen. Zu den faunistisch bemerkenswerten Bienenarten zählen Bombus cryptarum, Bambus jonellus und Lasioglossum fratellum. Zu den faunistisch bemerkenswerten Schwebfliegenarten zählen Cheilosia himantopus, Dasysyrphus lenensis, Platycheirus occultus und Trichopsomyia joratensis.
Leben und wissenschaftliches Werk des Aachener Naturforschers Arnold Foerster (1810-1884)
Authors: Drews Falko 
Published: June 2023

Es wird eine Porträtphotographie, ein Lebenslauf sowie eine Würdigung des wissenschaftlichen Werkes von Arnold Foerster (Naturforscher; geh. am 20. Januar 1810 in Aachen, gest. am 12./13. August 1884 in Aachen) vorgestellt. Ergänzend wird ein Verzeichnis seiner wissenschaftlichen Schriften mitgeteilt.
Qualifikationsanforderungen für die pädagogische Arbeit zum Erwerb von Digitalkompetenzen im Reallabor
Authors: Pelka Bastian , Preissner Lisa , Schulz Ann Christin , Mosch Caroline 
Published: June 2023

Der Aufsatz stellt ein pädagogisches Instrument für die Vermittlung von Digitalkompetenzen vor: Das Reallabor. Darunter verstehen die Autor*innen einen pädagogischen Ansatz, der einen physischen Ort mit Technologien verbindet, um mit Menschen aus marginalisierten Zielgruppen gemeinsam Digitalkompetenzen zu erwerben. Es werden vier Beispiele für Reallabore in Werkstätten für Menschen mit Behinderungen vorgestellt und diskutiert. Dabei wurde zum Beispiel ein Internet-Café in einer Cafeteria eingerichtet oder ein ehemaliger Postraum zu einem kleinen Makerspace umgewandelt. Aus diesen vier Fallstudien leiten die Autor*innen ab, welche Kompetenzanforderungen pädagogische Fachkräfte für die Nutzung des Reallabor-Ansatzes benötigen und wie sich pädagogische Rollen dazu wandeln müssen.

Abstract
The paper presents a pedagogical tool for teaching digital literacy: The RealLab. By this, the authors mean a pedagogical approach that combines a physical space with technologies in order to acquire digital skills together with people from marginalised target groups. Four examples of RealLab in workshops for people with disabilities are presented and discussed. For example, an internet café was set up in a cafeteria or a former mail room was converted into a small makerspace. From these four case studies, the authors derive which compe-tence requirements pedagogical professionals need for the use of the reallaboratory ap-proach and how pedagogical roles need to change for this purpose.
Maßnahmen zur Berücksichtigung von Heterogenität – Adaption von Aufgaben für inklusiven Mathematikunterricht in einer Lehrkräftefortbildung
Authors: Bertram Jennifer , Da Costa Silva Nadine , Rolka Katrin 
Published: June 2023

Der Adaption von Aufgaben kommt im inklusiven Unterricht eine besondere Bedeutung zu. In diesem Beitrag werden Maßnahmen zur Berücksichtigung von Heterogenität vorgestellt, die Lehrkräfte bei der Anforderung, Aufgaben für den Einsatz im inklusiven Mathematikunterricht zu adaptieren, nutzen können. Sowohl die theoretische und empirische Fundierung der Maßnahmen als auch ihr vielseitiger Einsatz in einer digitalen Fortbildung für Lehrkräfte der Sekundarstufe I werden erläutert. Die beispielhaften Konkretisierungen, wie die Maßnahmen in der Fortbildung verwendet wurden, zeigen auf, wie die Adaption von Aufgaben für inklusiven Mathematikunterricht in einer Fortbildung thematisiert werden kann. Es wird dargestellt, wie die Maßnahmen in der Fortbildung im Kontext einer Geometrieaufgabe erläutert wurden, wie diese auf eine Lernumgebung zur Einführung in Wahrscheinlichkeit angewendet wurden und inwiefern die Lehrkräfte die Maßnahmen für die weitere Adaption von Aufgaben auch vor dem Hintergrund ihres eigenen Unterrichts nutzten. Dabei wird durchweg eine Verbindung von Fach- und Entwicklungsorientierung herausgearbeitet, indem fachlich-fachdidaktische Überlegungen und entwicklungsorientierte Ausführungen insbesondere in den Bereichen Lernentwicklung sowie Entwicklung des sprachlichen und kommunikativen Handelns verknüpft werden.

Abstract
The adaptation of tasks is particularly important in inclusive settings. This article presents approaches to consider heterogeneity, which teachers can use to adapt tasks for inclusive mathematics settings. The theoretical and empirical foundation of the approaches as well as their versatile use in a digital professional development (PD) program for secondary teachers are explained. The exemplarily concretion of how the approaches were used in the PD program focus on how the adaptation of tasks for inclusive mathematics teaching can be addressed in a PD program. It is shown how the approaches were explained in the PD program in the context of a geometry task, how these were applied to a learning environment on introducing probability and to what extent the teachers used the approaches for the further adaptation of tasks also against the background of their own teaching practice. Throughout, a connection between a subject-specific view and a developmental orientation is considered by linking subject-specific considerations and development-oriented explanations especially concerning students with special needs regarding learning difficulties and low (academic) language proficiency.