bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of modified artificial hummingbird algorithm in optimal power flow and generation capacity in power networks considering renewable energy sources
Authors: Emam Marwa M. , Houssein Essam H. , Tolba Mohamed A. , Zaky Magdy M. , Hamouda Ali Mohammed 
Published: December 2023

AbstractToday's electrical power system is a complicated network that is expanding rapidly. The power transmission lines are more heavily loaded than ever before, which causes a host of problems like increased power losses, unstable voltage, and line overloads. Real and reactive power can be optimized by placing energy resources at appropriate locations. Congested networks benefit from this to reduce losses and enhance voltage profiles. Hence, the optimal power flow problem (OPF) is crucial for power system planning. As a result, electricity system operators can meet electricity demands efficiently and ensure the reliability of the power systems. The classical OPF problem ignores network emissions when dealing with thermal generators with limited fuel. Renewable energy sources are becoming more popular due to their sustainability, abundance, and environmental benefits. This paper examines modified IEEE-30 bus and IEEE-118 bus systems as case studies. Integrating renewable energy sources into the grid can negatively affect its performance without adequate planning. In this study, control variables were optimized to minimize fuel cost, real power losses, emission cost, and voltage deviation. It also met operating constraints, with and without renewable energy. This solution can be further enhanced by the placement of distributed generators (DGs). A modified Artificial Hummingbird Algorithm (mAHA) is presented here as an innovative and improved optimizer. In mAHA, local escape operator (LEO) and opposition-based learning (OBL) are integrated into the basic Artificial Hummingbird Algorithm (AHA). An improved version of AHA, mAHA, seeks to improve search efficiency and overcome limitations. With the CEC'2020 test suite, the mAHA has been compared to several other meta-heuristics for addressing global optimization challenges. To test the algorithm's feasibility, standard and modified test systems were used to solve the OPF problem. To assess the effectiveness of mAHA, the results were compared to those of seven other global optimization algorithms. According to simulation results, the proposed algorithm minimized the cost function and provided convergent solutions.
Entropy generation in magneto couple stress bionanofluid flow containing gyrotactic microorganisms towards a stagnation point on a stretching/shrinking sheet
Authors: Khan Muhammad Salim , Shah Zahir , Roman Muhammad , Khan Waris , Vrinceanu Narcisa , Alshehri Mansoor H. 
Published: December 2023

AbstractThe study focuses on the behavior of an electrically conducting non-Newtonian fluid with couple stress properties, using water-based bionanofluid. The fluid is analyzed as it flows across a porous stretching/shrinking sheet within its own plane. This Study also explores the Bejan Number and Entropy Generation. To facilitate this investigation, the governing nonlinear partial differential equations undergo a transformation, wherein they are converted into nonlinear ordinary differential equations through a suitable similarity transformation. An ideal strategy has been employed to achieve the desired results from the modeled challenge. The Homotopy Analysis Method is applied to determine the solution of the system of differential equations. The convergence of the applied method and their comparison with the numerical method are described through graphs and tables. The main features of the different profiles are briefly described. Graphs are used to analyze the impact of the Bejan number, concentration, temperature, velocity profile, and entropy production rate. Tables present the characteristics of skin friction, Nusselt, and Sherwood numbers for various limitations. The stretching and ambient fluid velocities should fluctuate linearly as the distance from the stagnation point increases. A rise in the magnetic and porosity parameters is accompanied by an increase in the velocity profile. While the velocity profile falls off as a Couple of fluid parameters are increased. The phenomenon of temperature boost is observed to be positively correlated with the increase in Brownian motion parameter while exhibiting no significant dependence on other parameters such as Brinkman number, Prandtl number Lewis number and Thermophoresis parameter. Entropy generation increases with the Brinkman number while decreasing with the radiation parameter and diffusion parameter as is plainly demonstrated.
Data-driven, two-stage machine learning algorithm-based prediction scheme for assessing 1-year and 3-year mortality risk in chronic hemodialysis patients
Authors: Lee Wen-Teng , Fang Yu-Wei , Chang Wei-Shan , Hsiao Kai-Yuan , Shia Ben-Chang , Chen Mingchih , Tsai Ming-Hsien 
Published: December 2023

AbstractLife expectancy is likely to be substantially reduced in patients undergoing chronic hemodialysis (CHD). However, machine learning (ML) may predict the risk factors of mortality in patients with CHD by analyzing the serum laboratory data from regular dialysis routine. This study aimed to establish the mortality prediction model of CHD patients by adopting two-stage ML algorithm-based prediction scheme, combined with importance of risk factors identified by different ML methods. This is a retrospective, observational cohort study. We included 800 patients undergoing CHD between December 2006 and December 2012 in Shin-Kong Wu Ho-Su Memorial Hospital. This study analyzed laboratory data including 44 indicators. We used five ML methods, namely, logistic regression (LGR), decision tree (DT), random forest (RF), gradient boosting (GB), and eXtreme gradient boosting (XGB), to develop a two-stage ML algorithm-based prediction scheme and evaluate the important factors that predict CHD mortality. LGR served as a bench method. Regarding the validation and testing datasets from 1- and 3-year mortality prediction model, the RF had better accuracy and area-under-curve results among the five different ML methods. The stepwise RF model, which incorporates the most important factors of CHD mortality risk based on the average rank from DT, RF, GB, and XGB, exhibited superior predictive performance compared to LGR in predicting mortality among CHD patients over both 1-year and 3-year periods. We had developed a two-stage ML algorithm-based prediction scheme by implementing the stepwise RF that demonstrated satisfactory performance in predicting mortality in patients with CHD over 1- and 3-year periods. The findings of this study can offer valuable information to nephrologists, enhancing patient-centered decision-making and increasing awareness about risky laboratory data, particularly for patients with a high short-term mortality risk.
Partisanship and energy efficiency program participation in the USA
Authors: Mayer Adam , Carter Ellison , Feinberg Elizabeth 
Published: December 2023

AbstractUtilities and municipal governments often implement energy efficiency programs to encourage households to improve the energy efficiency of their residences through measures such as weatherizing their homes, installing insulation, replacing inefficient appliances, setting up solar panels, among others. However, these programs often meet with variable success, with some having relatively few participants despite the promise of cost-savings for homeowners. Even as municipal-scale, home energy efficiency programs have grown in popularity, political polarization has increased in the USA. We suggest that political partisanship is an under-studied but potentially important predictor of program participation and use two datasets from Fort Collins, CO to evaluate the relationship between partisanship and energy efficiency program participation Our results imply that partisanship has a modest effect on program participation—this effect is also not highly robust. These results are encouraging in that they imply that partisanship does not greatly affect household decision-making to engage in energy efficiency programs, but at a grid or regional scale partisanship may act as a small barrier to energy efficiency.
The differentiation courses of the Tfh cells: a new perspective on autoimmune disease pathogenesis and treatment
Authors: Yang Qingya , Zhang Fang , Chen Hongyi , Hu Yuman , Yang Ning , Yang Wenyan , Wang Jing , Yang Yaxu , Xu Ran , Xu Chao 
Published: December 2023

Abstract
The follicular helper T cells are derived from CD4+T cells, promoting the formation of germinal centers and assisting B cells to produce antibodies. This review describes the differentiation process of Tfh cells from the perspectives of the initiation, maturation, migration, efficacy, and subset classification of Tfh cells, and correlates it with autoimmune disease, to provide information for researchers to fully understand Tfh cells and provide further research ideas to manage immune-related diseases.
Generalization in Aphasia Treatment: A Tutorial for Speech-Language Pathologists
Authors: Mayer Jamie F. , Madden Elizabeth B. , Mozeiko Jennifer , Murray Laura L. , Patterson Janet P. , Purdy Mary , Sandberg Chaleece W. , Wallace Sarah E. 
Published: December 2023

Purpose:
Generalization has been defined and instantiated in a variety of ways over the last half-century, and this lack of consistency has created challenges for speech-language pathologists to plan for, implement, and measure generalization in aphasia treatment protocols. This tutorial provides an overview of generalization with a focus on how it relates to aphasia intervention, including a synthesis of existing principles of generalization and examples of how these can be embedded in approaches to aphasia treatment in clinical and research settings.

Method:
Three articles collectively listing 20 principles of generalization formed the foundation for this tutorial. The seminal work of Stokes and Baer (1977) focused attention on generalization in behavioral change following treatment. Two aphasia-specific resources identified principles of generalization in relation to aphasia treatment (Coppens & Patterson, 2018; Thompson, 1989). A selective literature review was conducted to identify evidence-based examples of each of these 20 principles from the extant literature.

Results:
Five principles of generalization were synthesized from the original list of 20. Each principle was supported by studies drawn from the aphasia treatment literature to exemplify its application.

Conclusions:
Generalization is an essential aspect of meaningful aphasia intervention. Successful generalization requires the same dedication to strategic planning and outcome measurement as the direct training aspect of intervention. Although not all people with aphasia are likely to benefit equally from each of the principles reviewed herein, our synthesis provides information to consider for maximizing generalization of aphasia treatment outcomes.

Supplemental Material:

https://doi.org/10.23641/asha.24714399
Non‐singular fixed‐time fuzzy adaptive control for nonlinear systems subject to actuator faults
Authors: Yu Dengxiu , Jia Zhanxiao , Chen Kang , Chen C. L. Philip 
Published: December 2023

AbstractThis paper proposes a non‐singular fixed‐time fault‐tolerant adaptive tracking control method for a kind of multi‐input and multi‐output nonlinear system, which is in form of non‐strict feedback and is subject to actuator faults. The major contribution, compared to other practical fixed‐time fault‐tolerant control methods, is that the fixed time can be calculated precisely. By applying fuzzy logic systems, the identification of unknown nonlinearities is achieved, and by the boundness of fuzzy basis functions, the algebraic loop problem is avoided. Based on the fixed‐time stability theory, the practical fixed‐time fault‐tolerant adaptive tracking control method is proposed with adaptive back‐stepping control technology, in which the control singular problem is overcome by applying the adding power integration method. By the Lyapunov function theory, the practical fixed‐time stability of the closed‐loop system is theoretically proved. And even in the case of unknown actuator faults, the tracking error of the controlled system for the given command signal can still converge to a small neighbourhood of zero within a fixed time, regardless of the system initial state. Finally, the proposed control method is successfully implemented on a multi‐motor control platform, proving its effectiveness, and multiple comparative simulations are carried out, demonstrating its superiority.
Proof‐of‐concept of a robotic‐driven photogrammetric scanner for intra‐operative knee cartilage repair
Authors: Bertelsen Álvaro , Iribar‐Zabala Amaia , Otegi‐Alvaro Ekiñe , Benito Rafael , López‐Linares Karen , Macía Iván 
Published: December 2023

AbstractThis work presents a proof‐of‐concept of a robotic‐driven intra‐operative scanner designed for knee cartilage lesion repair, part of a system for direct in vivo bioprinting. The proposed system is based on a photogrammetric pipeline, which reconstructs the cartilage and lesion surfaces from sets of photographs acquired by a robotic‐handled endoscope, and produces 3D grafts for further printing path planning. A validation on a synthetic phantom is presented, showing that, despite the cartilage smooth and featureless surface, the current prototype can accurately reconstruct osteochondral lesions and their surroundings with mean error values of 0.199 ± 0.096 mm but with noticeable concentration on areas with poor lighting or low photographic coverage. The system can also accurately generate grafts for bioprinting, although with a slight tendency to underestimate the actual lesion sizes, producing grafts with coverage errors of −12.2 ± 3.7, −7.9 ± 4.9, and −15.2 ± 3.4% for the medio‐lateral, antero‐posterior, and craneo‐caudal directions, respectively. Improvements in lighting and acquisition for enhancing reconstruction accuracy are planned as future work, as well as integration into a complete bioprinting pipeline and validation with ex vivo phantoms.
Analysis and stabilization for full harmonic compensation oscillation in SAPF system with source current direct control
Authors: Xie Yihan , Yi Hao , Zhuo Fang , Li Yuguo , Jiang Xin , Zhang Zhilong 
Published: December 2023

AbstractShunt active power filter (SAPF) has emerged as a promising solution for mitigating harmonic distortions. Due to the interaction between the current inner‐loop of SAPF, source impedance and non‐linear loads, harmonic oscillation issue arises and adversely affects the stability of the system, thus in turn exacerbating the harmonic distortion. However, previous studies paid less attention to the value of phase adjustment in improving the dynamic behaviour of the loop and thus stabilizing harmonic oscillation. Taking the dynamic characteristics between source impedance and non‐linear load into consideration, this paper models and analyzes the SAPF system with source current direct control to reveal the law of full harmonic compensation oscillation. Based on the analysis, an enhanced phase adjustment strategy using load current feedforward is proposed and designed to stabilize harmonic oscillation, while maintaining a favourable trade‐off between stability and harmonic compensation performance. The small‐signal model validated for stability analysis and the effectiveness of proposed stabilization strategy are verified by simulation and experiment.
Von der Hand in den Mund – Das Potenzial von Gesten im Spracherwerb
Authors: Vogt Susanne 
Published: December 2023

AbstractThe function of gesture paving the way and affecting the acquisition of language and communication is evident. Building a robust vocabulary is a key task in early language development. At the same time, it serves as a basis for further language skills and successful communication. For word learning, iconic gesture in specific has been shown to have a beneficial effect. Certainly, this effect is of particular interest in light of intervention for children acquiring a first or second language with difficulty.
Liebe Leserinnen, liebe Leser…
Authors: Langhorst Jost 
Published: December 2023

Das Jahr 2023 neigt sich dem Ende zu.Unser Gesundheitssystem wird gegenwärtig durch die Diskussion über
die von Bundesgesundheitsminister Prof. Karl Lauterbach geplante Krankenhausreform
dominiert. Auch die schon lange in Arbeit befindliche Anpassung der GOÄ ist
an Bedeutung nicht zu unterschätzen. Unter der Annahme, dass zu viele
stationäre und unnötige Behandlungen durchgeführt werden,
stehen das Gesundheitssystem als solches und die Krankenhäuser im Besonderen
unter großem wirtschaftlichem Druck. Das solle sich im Sinne der Patienten
ändern. Es bleibt abzuwarten, ob in dieser aktuellen Lage Phytotherapie und
Naturheilkunde ihr Potenzial vermehrt einbringen können und dürfen
und ob so eine konstruktive Entwicklung angestoßen werden kann.
Östliches Ernährungswissen und
Ovarialkarzinom
Authors: Bihlmaier Susanne 
Published: December 2023

Zusammenfassung„Gute Ernährung muss passen wie ein guter Anzug“
postulierte die erfahrungsheilkundliche Traditionelle Chinesische Medizin
bereits vor über 3000 Jahren. Wenn aber Ernährung kein Anzug
„von der Stange“ sein soll, wie funktioniert dann das
„Maßschneidern“ und können von Ovarialkarzinom
Betroffene davon profitieren? Ein therapeutischer und kulinarischer Blick
über die Chinesische Mauer hinweg zeigt: Östliche
Ernährungsempfehlungen können gerade bei einer Karzinomart, die
auch heute noch oft erst im peritoneal metastasierten Stadium diagnostiziert
wird, ein deutliches Plus an Lebensqualität bringen, für
Ovarialkrebs-Erkrankte spürbar bekömmlicher und wohltuender als
dogmatische Diäten und vor allem: schmackhaft.
Survivorship in der Onkologie: Psychosoziale Folgen bei
Krebsüberlebenden
Authors: Springer Franziska , Mehnert-Theuerkauf Anja 
Published: December 2023

ZusammenfassungDie Zahl der Menschen, die mit oder nach einer Krebserkrankung leben, nimmt
aufgrund unserer alternden Gesellschaft und einer verbesserten Krebsbehandlung
stetig zu. Nach abgeschlossener Therapie bleiben jedoch oft Folgen der
Erkrankung lange spürbar und beeinflussen Betroffene noch Jahre
später, was zu hohem Leidensdruck und Versorgungsbedarf führt.
Eine psychoonkologische Begleitung bietet eine wirksame Unterstützung
für Spät- und Langzeitfolgen.
Glucoraphanin in Keimsaaten
Authors: Lechtenberg Matthias , Böhme Gerd , Hensel Andreas 
Published: December 2023

ZusammenfassungAls eine vielversprechende Quelle für bioaktive pflanzliche
Sekundärstoffe gelten Keimsprossen von Kreuzblütlerpflanzen
(Familie: Brassicaceae). Vor allem das in Brokkolisprossen in höheren
Konzentrationen vorkommende Glucoraphanin ist als bioaktiver Naturstoff von
besonderer Bedeutung. Glucoraphanin gehört zur Stoffklasse der
Glucosinolate (Senfölglucoside) und stellt das Prodrug von Sulforaphan
(1-Isothiocyanato-4-methylsulfinylbutan) dar, für das in zahlreichen
Studien antikarzinogene bzw. chemopräventive Effekte gezeigt werden
konnten. Zur Optimierung der täglichen Aufnahme von Glucosinolaten wird
die eigene Anzucht von Sprossen immer beliebter und eine Vielzahl
diesbezüglicher Brokkoli-Keimsaaten ist hierfür heute am Markt
verfügbar. In diesem Zusammenhang wurden in der vorliegenden Studie die
Glucosinolatmuster von 48 handelsüblichen Kreuzblütlersamen
untersucht, davon die Hälfte (24 Proben) mit der Deklaration
„Brokkoli“. In 15 der untersuchten Samenproben konnte
Glucoraphanin in deutlichen Mengen nachgewiesen werden. Lediglich 9 dieser
Samenmuster stammen laut Deklaration von Brokkoli, alle übrigen leiten
sich von anderen Varietäten der Stamm-Art Brassica oleracea ab.
Dies konnte analytisch eindeutig über die jeweiligen
Glucosinolat-Fingerprints mittels U(H)PLC und CE belegt werden. Die vorliegenden
Ergebnisse belegen, dass in vielen Fällen (15 von 24 Proben) trotz der
Deklaration „Brokkoli“ für das untersuchte Saatgut kein
für Brokkoli typisches Glucosinolatprofil nachweisbar ist und nur wenig
oder kein Glucoraphanin bestimmbar war. Dies wird als eine für
Verbraucher und Patienten unbefriedigende Situation bewertet.
Die Energiebilanz charakterisiert Adipositas, sie erklärt sie
aber nicht und sie ermöglicht keine Strategien für eine
nachhaltige Behandlung
Authors: Bosy-Westphal Anja , Müller Manfred J. 
Published: December 2023

ZusammenfassungDie Energiebilanz dient häufig zur Erklärung der Entstehung von
Übergewicht sowie als Basis für konservative
Therapiemaßnahmen. Dies impliziert, dass Übergewicht durch eine
zu hohe Energieaufnahme und/oder einen Mangel an Bewegung
erklärt ist und somit eine Verringerung der Energiezufuhr oder eine
Erhöhung des Energieverbrauchs zu einem Energiedefizit und damit zu
einer Gewichtsabnahme führen. Dieses vereinfachende Paradigma
lässt jedoch die Regulation der Energiebilanz außer Acht und
verkennt damit die eigentlichen Ursachen und Therapieoptionen von
Übergewicht. Die Kontrolle der Energiebilanz ist ein dynamischer
Prozess, bei dem Veränderungen in einer Komponente der Energiebilanz
eine Kompensation in anderen Komponenten des Systems zur Folge haben.
Darüber hinaus haben Kalorien aus verschiedenen
Makronährstoffquellen oder zu unterschiedlichen Tageszeiten verzehrt
metabolische Auswirkungen, die über ihren Wert als Brennstoff
hinausgehen, zu einer Änderung der Partitionierung der Energie im
Stoffwechsel führen und damit den Appetit steigern. Die Energiebilanz
dient nicht einer Lösung des Adipositasproblems. Diese ergeben sich aus
dem Verständnis der Determinanten und Interaktion von Lebensstilfaktoren
wie Zuckerkonsum, Snacking-Behavior und körperlicher
Aktivität im Hinblick auf adipogene
Stoffwechselveränderungen.
Emicizumab for the Treatment of Acquired Hemophilia A: Consensus Recommendations from the GTH-AHA Working Group
Authors: Pfrepper Christian , Klamroth Robert , Oldenburg Johannes , Holstein Katharina , Eichler Hermann , Hart Christina , Moehnle Patrick , Schilling Kristina , Trautmann-Grill Karolin , Alrifai Mohammed , Ay Cihan , Miesbach Wolfgang , Knoebl Paul , Tiede Andreas 
Published: December 2023

Abstract
Background Acquired hemophilia A (AHA) is a severe bleeding disorder caused by autoantibodies against coagulation factor VIII (FVIII). Standard treatment consists of bleeding control with bypassing agents and immunosuppressive therapy. Emicizumab is a bispecific antibody that mimics the function of activated FVIII irrespective of the presence of neutralizing antibodies. Recently, the GTH-AHA-EMI study demonstrated that emicizumab prevents bleeds and allows to postpone immunosuppression, which may influence future treatment strategies.
Aim To provide clinical practice recommendations on the use of emicizumab in AHA.
Methods A Delphi procedure was conducted among 33 experts from 16 German and Austrian hemophilia care centers. Statements were scored on a scale of 1 to 9, and agreement was defined as a score of ≥7. Consensus was defined as ≥75% agreement among participants, and strong consensus as ≥95% agreement.
Results Strong consensus was reached that emicizumab is effective for bleed prophylaxis and should be considered from the time of diagnosis (100% consensus). A fast-loading regimen of 6 mg/kg on day 1 and 3 mg/kg on day 2 should be used if rapid bleeding prophylaxis is required (94%). Maintenance doses of 1.5 mg/kg once weekly should be given (91%). Immunosuppression should be offered to patients on emicizumab if they are eligible based on physical status (97%). Emicizumab should be discontinued when remission of AHA is achieved (97%).
Conclusion These GTH consensus recommendations provide guidance to physicians on the use of emicizumab in AHA and follow the results of clinical trials that have shown emicizumab is effective in preventing bleeding in AHA.