bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study on upper bound limit analysis of horizontal layers slope stability based on optimization method
Authors: Yao Yong , Wang Zhen 
Published: April 2023

AbstractSlope stability is an important problem in the field of geotechnical engineering. In order to widen the application range of upper bound limit analysis in engineering practice, this paper analyzes layered distribution characteristics of slope soil and establishes horizontal layers slope failure mechanism which satisfies the separation of velocity, then proposes calculation method for external force power and internal energy dissipation power using discrete algorithm. On this basic, this paper prepares cycle flow of slope stability analysis by upper bound limit principle and strength reduction principle, and develops stability analysis system by computer programming technology. Taking typical mine excavation slope as engineering background and calculates stability coefficient corresponding to different slope angles and evaluate analysis results accuracy by combining with limit equilibrium method. The results show that the stability coefficient error rate of two methods is between 3 and 5%, which can satisfy requirements of engineering practice. Moreover, stability coefficient obtained by upper bound limit analysis is an upper limit solution, and calculation errors are easy to eliminate, so it has certain applicability in slope engineering practice.
Phobia-specific patterns of cognitive emotion regulation strategies
Authors: Zsido Andras N. , Lang Andras , Labadi Beatrix , Deak Anita 
Published: April 2023

AbstractAlthough fear plays a vital role in survival, an overly active threat detection system could be maladaptive due to its negative health consequences. Putatively maladaptive emotion regulation (ER) strategies are a core problem in phobias. In contrast, adaptive ER strategies could help downregulate the emotion elicited by a threatening stimulus and decrease anxiety. Yet, the number of studies directly examining the pattern of ER strategies linked to various phobias is still scarce. Thus, this study sought to map the patterns of adaptive and maladaptive ER strategies linked to the three most common phobias (social, animal, and blood-injection-injury [BII]). A total of 856 healthy participants filled out our survey including self-reported measures of social anxiety, snake-, spider-, BII phobia, and cognitive ER strategies. Structural equation modeling was used to test the effects between the variables. The results show that social anxiety and animal phobia were linked to both adaptive and maladaptive ER strategies, while BII was only associated with maladaptive ones. Further analyses showed that the most prominent ER strategies differed by subtype. This is in line with previous neuroimaging studies claiming that the neurocognitive mechanisms underlying phobias are also different. Theoretical as well as practical implications are discussed.
Label-free, multi-parametric assessments of cell metabolism and matrix remodeling within human and early-stage murine osteoarthritic articular cartilage
Authors: Liu Zhiyi , Hui Mingalone Carrie K. , Gnanatheepam Einstein , Hollander Judith M. , Zhang Yang , Meng Jia , Zeng Li , Georgakoudi Irene 
Published: April 2023

AbstractOsteoarthritis (OA) is characterized by the progressive deterioration of articular cartilage, involving complicated cell-matrix interactions. Systematic investigations of dynamic cellular and matrix changes during OA progression are lacking. In this study, we use label-free two-photon excited fluorescence (TPEF) and second harmonic generation (SHG) imaging to assess cellular and extracellular matrix features of murine articular cartilage during several time points at early stages of OA development following destabilization of medial meniscus surgery. We detect significant changes in the organization of collagen fibers and crosslink-associated fluorescence of the superficial zone as early as one week following surgery. Such changes become significant within the deeper transitional and radial zones at later time-points, highlighting the importance of high spatial resolution. Cellular metabolic changes exhibit a highly dynamic behavior, and indicate metabolic reprogramming from enhanced oxidative phosphorylation to enhanced glycolysis or fatty acid oxidation over the ten-week observation period. The optical metabolic and matrix changes detected within this mouse model are consistent with differences identified in excised human cartilage specimens from OA and healthy cartilage specimens. Thus, our studies reveal important cell-matrix interactions at the onset of OA that may enable improved understanding of OA development and identification of new potential treatment targets.
Development of pathway-oriented screening to identify compounds to control 2-methylglyoxal metabolism in tumor cells
Authors: Yanagi Kouichi , Komatsu Toru , Fujikawa Yuuta , Kojima Hirotatsu , Okabe Takayoshi , Nagano Tetsuo , Ueno Tasuku , Hanaoka Kenjiro , Urano Yasuteru 
Published: April 2023

AbstractControlling tumor-specific alterations in metabolic pathways is a useful strategy for treating tumors. The glyoxalase pathway, which metabolizes the toxic electrophile 2-methylglyoxal (MG), is thought to contribute to tumor pathology. We developed a live cell-based high-throughput screening system that monitors the metabolism of MG to generate d-lactate by glyoxalase I and II (GLO1 and GLO2). It utilizes an extracellular coupled assay that uses d-lactate to generate NAD(P)H, which is detected by a selective fluorogenic probe designed to respond exclusively to extracellular NAD(P)H. This metabolic pathway-oriented screening is able to identify compounds that control MG metabolism in live cells, and we have discovered compounds that can directly or indirectly inhibit glyoxalase activities in small cell lung carcinoma cells.
Electret prevents the formation of bacterial biofilm
Authors: Sun Zhipeng , Wang Hongbao , Guo Xin , Xu Jiajie , Liang Hejuan , Jiang Jian , Liang Yuanyuan 
Published: April 2023

AbstractBacterial biofilm formation is an important factor in bacterial resistance. The commonly used methods to inhibit bacterial biofilms are synthetic drugs such as antimicrobial peptides, but physical methods are often safe, non‐toxic and simple to prepare. This work proposes an environmentally friendly method to use electret films to provide a stable electric field during the formation of bacterial biofilms, inhibit the formation of bacterial biofilms through the action of the electric field and weaken the adhesion of bacterial biofilms. The total amount of Staphylococcus aureus biofilm decreased by 20% compared to the control group after the treatment of positive electret. The distribution of exopolysaccharides showed that the activity of biofilm also decreased. In addition, the negative electret can also inhibit the formation of bacterial biofilm. The result can be generalised to other Gram‐positive bacteria and could contribute to reduce the resistance of bacteria, improve the effect of related antibiotics, reduce the dosage of antibiotics and reduce the side effects of drugs.
Hybrid AI model for power transformer assessment using imbalanced DGA datasets
Authors: Wang Lin , Littler Tim , Liu Xueqin 
Published: April 2023

AbstractArtificial intelligence (AI) methods have been used widely in power transformer fault diagnosis with notable developments in solutions for big data problems. Training data is essential to accurately train AI models. The volume, scope and variety of data samples contribute significantly to the success and reliability of diagnostic outcomes. This paper provides a comprehensive review and comparison of different augmentation methods used to generate reliable data samples for minority and majority classes to balance the diversity and distribution of dissolved gas analysis (DGA) datasets. The augmentation method presented in this paper combines three common AI models—the Support Vector Machine (SVM), Decision Tree, and k‐Nearest Neighbour (KNN)—to assess performance for diagnostic fault determination and classification, with comparator assessment using no data augmentation. Comparative analysis of the hybrid models uses evaluation metrics including accuracy, precision, recall, specificity, F‐score, G‐mean, and the area under receiver operation characteristic (Auc). Experimental results presented in this paper confirm that the data augmentation applied to AI models can resolve difficulties in imbalanced data distribution and provide significant improvements for fault diagnosis, particularly for minority classes.
Research on the strategy of locating abnormal data in internet of things management platform based on improved modified particle swarm optimization convolutional neural network algorithm
Authors: Yuan Liu , Qiang Li , Di Cai , Weizhi Lu 
Published: April 2023

AbstractThe Internet of Things (IOT) management platform is used to manage and transmit data from a variety of terminal devices in the power system. In terms of detecting abnormal data, the existing IOT management platform has a low data processing efficiency and a high error rate. In addition, the optimal selection and determination of the structural parameters of a convolutional neural network (CNN) have a substantial effect on its prediction performance. On this basis, the paper proposes a decision algorithm for locating anomalous data in an IOT integrated management platform using a CNN and a global optimization decision of key structural parameters of a CNN using an improved particle swarm optimization (APSO) algorithm. Initially, an index model is developed to identify whether the data obtained from the IOT management platform is abnormal. Second, the structure of the CNN‐based anomaly detection approach is investigated. Next, an improved particle swarm optimization approach is designed to optimize the structural parameters of the CNN, and an APSO‐CNN with higher performance for anomalous data localization is constructed. Using the Adam optimizer, the accuracy, feasibility, and efficiency of the established method were assessed. The results demonstrate that the developed APSO‐CNN‐based decision method for anomaly data localization offers significant advantages in terms of precision and execution speed, with potentially intriguing application potential.
Student-led design, development and tests of an autonomous, low-cost platform for distributed space weather observations
Authors: Wright Isaac G. , Solanki Ishita , Desai Anupa , Socola Josemaria Gomez , Rodrigues Fabiano S. 
Published: April 2023

Distributed arrays of ground-based instruments can help advance observations and improve understanding of space weather. The implementation of an array of sensors can be constrained, however, by the high cost of commercial instruments and the availability of Internet and power. Additionally, distributed observations require sensors that can be easily deployed and maintained. As part of an effort to expand the breath of skills of physics students while increasing literacy about space weather, a team of undergraduates was formed and tasked with designing, building, and testing an autonomous platform for ionospheric observations using ScintPi 3.0. ScintPi 3.0 is a low-cost ionospheric scintillation and total electron content (TEC) monitor. The design led to a platform that employs cellular-based Internet connectivity as well as solar and battery power. A fully functional prototype was built and deployed near Dallas, USA (32.9° N, 96.4° W). Results show that the platform can run for 232 hours using battery only or indefinitely when connected to the selected solar photovoltaic panel. For system monitoring, LTE functionality enables near real-time updates of the systems’ health and remote shell access. Examples of observations made by the prototype are presented, including the detection of ionospheric effects caused by a space weather event. Additionally, the potential of the system for research, education, and citizen science initiatives are discussed.
Psycho-Oncological Care Provision in Highly Distressed Breast Cancer Patients
Authors: Schlaiss Tanja , Singer Susanne , Herbert Saskia-Laureen , Diessner Joachim , Bartmann Catharina , Kiesel Matthias , Janni Wolfgang , Kuehn Thorsten , Flock Felix , Felberbaum Ricardo , Schwentner Lukas , Leinert Elena , Woeckel Achim ,   for the BRENDA study group
Published: April 2023

Abstract
Objective To evaluate the proportion of breast cancer (BC) patients with distress or psychological comorbidity as well as offer and use of psychological support in subgroups of BC
patients with different extents of distress.
Methods 456 patients with BC were evaluated at baseline (t1) and until 5 years after diagnosis (t4) at the BRENDA certified BC centers. Logistic regression was used to analyze if
patients with distress at t1 received offers and actual psychological support more often than patients without distress at t1. Regression analyses were used to examine if acute, emerging or
chronic disease was associated with higher rates of offer and use of psychotherapy as well as intake of psychotropic drugs.
Results In 45% of BC patients psychological affection was detected at t4. The majority of patients with moderate or severe distress at t1 (77%) received the offer for psychological
service, while 71% of those received the offer for support at t4. Patients, who were psychologically affected at t1, have not been offered psychological services more often than those
without, but they significantly more often used services if offered. Especially patients with acute comorbidity received significantly more often an offer for psychotherapy compared to
unimpaired patients, while those patients with emerging or chronic disease did not. 14% of BC patients took psychopharmaceuticals. This mainly concerns patients with chronic comorbidity.
Conclusion Psychological services were offered to and used by a fair amount of BC patients. All subgroups of BC patients should be addressed, in order to improve the comprehensive
supply with psychological services.
Osteoporose-Risikofaktoren
Authors: Baum Erika , Rintelen Bernhard , Siggelkow Heide , Engelke Klaus , Glüer Claus-C. , Thomasius Friederike 
Published: April 2023

Zusammenfassung
Ziel Im Rahmen der Überarbeitung der 2017er Leitlinie Prophylaxe,
Diagnostik und Therapie der Osteoporose bei postmenopausalen Frauen und bei
Männern für den Deutschsprachigen Raum sollte das Risiko
für osteoporosetypische Frakturen möglichst präzise und
unter Einbeziehung aktueller Daten quantifiziert werden.
Methoden Anhand einer systematischen Literaturrecherche ermittelte die
Autorengruppe Risikofaktoren für osteoporosetypische Frakturen- in
diesem Falle explizit hüftnahe und Wirbelkörperfrakturen. Die
Ergebnisse wurden zusammengeführt, bewertet und priorisiert in Hinblick
auf ihre Relevanz für die Risikokalkulation, die zukünftig
elektronisch in Form eines Risikorechners möglich sein soll.
Ergebnisse Besonders starke Risikofaktoren für
Hüftfrakturen sind vorausgegangene Frakturen verschiedener
Lokalisationen sowie Typ 1 Diabetes, Glucocorticoid-Therapie und einige
neurologische Erkrankungen. Bei über 75-jährigen bildet ein
timed-up-and-go Test >15 sec. sehr gut das erhöhte
Risiko durch mehrere mit erhöhter Sturzneigung korrelierenden
Erkrankungen ab. Nach Frakturen ist das Risiko weiterer Frakturen im Folgejahr
stark erhöht, weshalb zusätzlich das imminente Frakturrisiko zu
beachten ist. Hier berichten wir den derzeitigen Stand der Bewertung und
Einarbeitung
Schlussfolgerung Wegen der Komplexität der einzelnen
Einflussfaktoren ist die Risikoabschätzung am besten mit einem
validierten, elektronisch verfügbaren Risikokalkulator möglich.
Zwischenergebnisse dazu werden hier genannt, wobei für die
Übergangsphase auch eine Papierversion im Leitlinienupdate zur Anwendung
kommen soll.
Online-Therapie zusätzlich zur Psychoanalyse? Welche Bedarfe
formulieren niedergelassene psychodynamische Psychotherapeut:innen an
Online-Therapie Module für ihre ambulante Arbeit?
Authors: Fenski Friederike , Böttcher Johanna , Hörz-Sagstetter Susanne 
Published: April 2023

Zusammenfassung
Ziel der Studie In den letzten Jahren sehen sich Psychotherapeut: innen
verstärkt vor der Herausforderung, bei begrenzten zeitlichen Ressourcen
den Behandlungsbedarf effizient zu decken und gleichzeitig langfristig stabile
Behandlungserfolge zu erzielen. Eine Möglichkeit, sich dem zu stellen,
liegt in der Integration von internetbasierten Interventionen in die ambulante
Psychotherapie. Während es bereits viel Forschung zu
verhaltenstherapeutischen Onlineangeboten gibt, bleiben Vorstellungen und
Haltungen psychodynamischer Psychotherapeut:innen im Dunkeln. Es soll daher die
Frage beantwortet werden, wie spezielle Online-Module aussehen müssten,
die niedergelassene psychodynamische Psychotherapeut:innen in ihrer ambulanten
Praxis zur Unterstützung ihrer regulären
Präsenztherapien anwenden würden.
Methode In dieser Arbeit wurden 20 niedergelassene psychodynamische
Psychotherapeut:innen in halbstrukturierten Interviews nach ihren Anforderungen
an Inhalte möglicher Online-Module befragt. Die transkribierten
Interviews wurden mittels der Inhaltsanalyse nach Mayring ausgewertet.
Ergebnisse Es zeigte sich, dass einige psychodynamische
Psychotherapeut:innen bereits Übungen oder Materialien nutzen, die in
das Online-Format übertragen werden können. Zudem konnten
Voraussetzungen identifiziert werden, die Online-Module erfüllen
müssten, um von den Interviewten in ihrer Praxis verwendet zu werden,
beispielweise eine einfache Handhabung oder ein spielerischer Charakter.
Gleichzeitig wurde deutlich, wann und bei welchen Patient:innen-Gruppen
Online-Module in die psychodynamische Psychotherapie integriert werden
würden.
Diskussion Die befragten psychodynamischen Psychotherapeut:innen
betrachteten es durchaus als einen attraktiven Ansatz, Online-Module als Add-On
zur Psychotherapie und über ein breites inhaltliches Spektrum hinweg
anzubieten. Sie gaben praktische Hinweise zur Ausgestaltung möglicher
Module, sowohl auf der Ebene genereller Handhabung als auch zu konkreten
Inhalten, Wörtern und Ideen.
Schlussfolgerung Die Ergebnisse dienten der Entwicklung verfahrens- und
störungsübergreifender Online-Module, deren Einsatz in der
ambulanten psychotherapeutischen Regelversorgung in Deutschland innerhalb einer
randomisiert-kontrollierten Studie untersucht wird.
Leveraging the Electronic Health Record to Implement Emergency Department Delirium Screening
Authors: Chary Anita N. , Brickhouse Elise , Torres Beatrice , Santangelo Ilianna , Carpenter Christopher R. , Liu Shan W. , Godwin Kyler M. , Naik Aanand D. , Singh Hardeep , Kennedy Maura 
Published: April 2023

AbstractObjective The aim of this study is to understand how emergency departments (EDs) use health information technology (HIT), and specifically the electronic health record (EHR), to support implementation of delirium screening.Methods We conducted semi-structured interviews with 23 ED clinician-administrators, representing 20 EDs, about how they used HIT resources to implement delirium screening. Interviews focused on challenges participants experienced when implementing ED delirium screening and EHR-based strategies they used to overcome them. We coded interview transcripts using dimensions from the Singh and Sittig sociotechnical model, which addresses use of HIT in complex adaptive health care systems. Subsequently, we analyzed data for common themes across dimensions of the sociotechnical model.Results Three themes emerged about how the EHR could be used to address challenges in implementation of delirium screening: (1) staff adherence to screening, (2) communication among ED team members about a positive screen, and (3) linking positive screening to delirium management. Participants described several HIT-based strategies including visual nudges, icons, hard stop alerts, order sets, and automated communications that facilitated implementation of delirium screening. An additional theme emerged about challenges related to the availability of HIT resources.Conclusion Our findings provide practical HIT-based strategies for health care institutions planning to adopt geriatric screenings. Building delirium screening tools and reminders to perform screening into the EHR may prompt adherence to screening. Automating related workflows, team communication, and management of patients who screen positive for delirium may help save staff members' time. Staff education, engagement, and access to HIT resources may support successful screening implementation.
Correction of Mild-to-Moderate Constricted Ear Abnormality Using Mustardé Suture, Cartilage Onlay Graft, and Transposition Flap: A Case Report
Authors: Nam Ha Jong , Wee Syeo Young 
Published: April 2023

AbstractConstricted ear has a prevalence of 5.2 to 10% among ear abnormalities, and various surgical methods are suggested for treatment. We introduce a case of a constricted ear treated with a simple method using a novel concept cartilage graft and transposition flap, along with the well-known Mustardé suture, which is used for pediatric patients with mild to moderate constricted ears of Tanzer classification type IIA. A 10-year-old female patient visited the hospital complaining of an abnormality in the congenital right ear. Surgical approach was planned under the diagnosis of Tanzer classification type IIA constricted right ear. Posterior helix onlay graft and perichondrocutaneous transposition flap using excessive helical cartilage were performed along with the Mustardé suture. In the immediate postoperative period, ear contour was improved, and it was well-maintained without recurrence until 6 months' follow-up. In conclusion, the combination of Mustardé suture, and cartilage onlay graft and perichondrocutaneous transposition flap in the mild to moderate constricted ear would be a useful surgical option, producing aesthetically good results in a simple and effective method.
Clinical Significance of Diffusion Tensor Imaging in Metachromatic Leukodystrophy
Authors: Amedick Lucas Bastian , Martin Pascal , Beschle Judith , Strölin Manuel , Wilke Marko , Wolf Nicole , Pouwels Petra , Hagberg Gisela , Klose Uwe , Naegele Thomas , Kraegeloh-Mann Ingeborg , Groeschel Samuel 
Published: April 2023

Abstract
Background Metachromatic leukodystrophy (MLD) is a lysosomal enzyme deficiency disorder leading to progressive demyelination and, consecutively, to cognitive and motor decline. Brain magnetic resonance imaging (MRI) can detect affected white matter as T2 hyperintense areas but cannot quantify the gradual microstructural process of demyelination more accurately. Our study aimed to investigate the value of routine MR diffusion tensor imaging in assessing disease progression.
Methods MR diffusion parameters (apparent diffusion coefficient [ADC] and fractional anisotropy [FA]) were in the frontal white matter, central region (CR), and posterior limb of the internal capsule in 111 MR datasets from a natural history study of 83 patients (age: 0.5–39.9 years; 35 late-infantile, 45 juvenile, 3 adult, with clinical diffusion sequences of different scanner manufacturers) as well as 120 controls. Results were correlated with clinical parameters reflecting motor and cognitive function.
Results ADC values increase and FA values decrease depending on disease stage/severity. They show region-specific correlations with clinical parameters of motor and cognitive symptoms, respectively. Higher ADC levels in CR at diagnosis predicted a disease course with more rapid motor deterioration in juvenile MLD patients. In highly organized tissues such as the corticospinal tract, in particular, diffusion MR parameters were highly sensitive to MLD-associated changes and did not correlate with the visual quantification of T2 hyperintensities.
Conclusion Our results show that diffusion MRI can deliver valuable, robust, clinically meaningful, and easily obtainable/accessible/available parameters in the assessment of prognosis and progression of MLD. Therefore, it provides additional quantifiable information to established methods such as T2 hyperintensity.