bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prophylaxe von Beckenbodenschäden
Authors: Kimmich Nina 
Published: July 2023

Zusammenfassung
Hintergrund
Der Wunsch schwangerer Frauen nach Erhalt ihrer Beckenbodenfunktion im Rahmen vaginaler Geburten ist groß, zumal Beckenbodentraumata mit einer hohen Rate physischer und psychosozialer Belastungen bis hin zur posttraumatischen Belastungsstörung einhergehen.

Ziel der Arbeit
Darstellung der Risikofaktoren für eine Beeinträchtigung der Beckenbodenfunktion und Herausarbeitung möglicher evidenzbasierter protektiver Maßnahmen im Rahmen vaginaler Geburten.

Material und Methoden
Literaturrecherche in der Online-Datenbank Pubmed.

Ergebnisse
Schwangerschaft und Geburt sind Hauptrisikofaktoren für Beckenbodenschäden. Im Rahmen einer vaginalen Geburt können die Geburtsmechanik und der Geburtsverlauf jedoch bis zu einem gewissen Grad durch verschiedene evidenzbasierte Maßnahmen im Sinne einer Primärprävention positiv beeinflusst werden.

Schlussfolgerungen
Aufgrund z. T. eingeschränkter therapeutischer Möglichkeiten, v. a. hinsichtlich Levatoravulsionen oder -überdehnungen, kommt der Prophylaxe von Beckenbodenschäden peripartal eine besondere Rolle zu. Es empfiehlt sich eine gezielte und effektive Selektion solcher Frauen, deren Grundvoraussetzungen für eine beckenbodenschonende Geburt eher suboptimal erscheinen. Mit diesen Frauen kann großzügig die Möglichkeit einer primären Sectio caesarea besprochen werden. Bei allen anderen Frauen empfiehlt sich die Anwendung der beschriebenen evidenzbasierten Maßnahmen zur Primärprophylaxe von Beckenbodenschäden.
Aspects of potential vorticity circulation in the Northern Hemisphere: climatology and variation
Authors: Sheng Chen , Wu Guoxiong , He Bian , Liu Yimin 
Published: July 2023

AbstractThis study revisits the concept of potential vorticity (PV) circulation (PVC) and presents new findings. Results suggest that PVC can cross the isentropic surface. The gross PV in the Northern Hemisphere (NH) depends solely on the total flux of PVC crossing the atmospheric upper boundary, bottom, and cross-section along the equator. In terms of climate, the cross-upper boundary PVC flux is critical for forming the positive basic state of the gross PV in the NH. In terms of variation, a cancelation intrinsically rooted in the PV dynamics between the cross-upper boundary PVC flux and cross-equator PVC flux means that the NH’s gross PV anomaly is largely determined by the cross-bottom PVC flux. Further analysis sheds light on a seminal atmospheric process in which anomalous PVC inflowing from the NH’s upper boundary outflows from the cross-section along the equator and vice versa. An analysis of the quasi-biennial oscillation verifies the process. All results imply that the PVC is a novel tool for examining the interaction between the upper and lower levels of the atmosphere and the interaction between hemispheres.
Prospects for meteotsunami detection in earth’s atmosphere using GNSS observations
Authors: Vergados Panagiotis , Krishnamoorthy Siddharth , Martire Léo , Mrak Sebastijan , Komjáthy Attila , Morton Yu T. Jade , Vilibić Ivica 
Published: July 2023

AbstractWe study, for the first time, the physical coupling and detectability of meteotsunamis in the earth’s atmosphere. We study the June 13, 2013 event off the US East Coast using Global Navigation Satellite System (GNSS) radio occultation (RO) measurements, Sounding of the Atmosphere using Broadband Emission Radiometry (SABER) temperatures, and ground-based GNSS ionospheric total electron content (TEC) observations. Hypothesizing that meteotsunamis also generate gravity waves (GWs), similar to tsunamigenic earthquakes, we use linear GW theory to trace their dynamic coupling in the atmosphere by comparing theory with observations. We find that RO data exhibit distinct stratospheric GW activity at near-field that is captured by SABER data in the mesosphere with increased vertical wavelength. Ground-based GNSS-TEC data also detect a far-field ionospheric response 9 h later, as expected by GW theory. We conclude that RO measurements could increase understanding of meteotsunamis and how they couple with the earth’s atmosphere, augmenting ground-based GNSS TEC observations.
Dynamic connectivity analyses to inform management of the invasive American mink and its native competitor, the European mink
Authors: Goicolea Teresa , Lewison Rebecca L. , Mateo-Sánchez M. Cruz , Jennings Megan K. 
Published: July 2023

AbstractForecasting habitat suitability and connectivity can be central to both controlling range expansion of invasive species and promoting native species conservation, especially under changing climate conditions. This study aimed to identify and prioritize areas in Spain to control the expansion of one of the most harmful invasive species in Europe, the American mink, while conserving its counterpart, the endangered European mink, under current and future conditions. We used ensemble habitat suitability and dynamic connectivity models to predict species ranges and movement routes considering likely climate change under three emission scenarios. Then, using habitat availability metrics, we prioritized areas for invasive mink control and native mink conservation and classified them into different management zones that reflected the overlap between species and threat from American to European minks. Results suggest that both species are likely to experience declines in habitat and connectivity under climate change scenarios with significantly larger declines by the end of the century for European minks (72 and 80% respectively) than for American minks (41 and 32%). Priority areas for management of both species varied over time and across emission scenarios, with a general shift in priority habitat towards the North-East of the study area. Our findings demonstrate how habitat suitability and dynamic connectivity approaches can guide long-term management strategies to control invasive species and conserve native species while accounting for likely landscape changes. The simultaneous study of both invasive and native species can support prioritized management action and inform management planning of the intensity, extent, and techniques of intervention depending on the overlap between species.
Childhood Experiences of Alternative Care and Callousness/Unemotionality: A Conceptual Model, Scoping Review, and Research Agenda
Authors: Pasalich Dave S. , Aquilina Benjamin , Hassall Alison , Goulter Natalie , Xyrakis Nakiya , Khoo Anderson 
Published: July 2023

AbstractIndividuals with experiences of alternative care (AC; i.e., out-of-home care and institutional care) are at high risk for various mental health and relational problems stemming from exposure to serious attachment disruptions, loss, and complex trauma. Yet, despite the interpersonal context of their significant adversities, surprisingly there is scant research explicitly focusing on callousness/unemotionality (e.g., lack of guilt, callous disregard for others) in this population. This paper provides the first conceptual model for, and systematic scoping review of, callousness/unemotionality in children and young people with experiences of AC. In a comprehensive search of nine databases, 22 articles involving samples of participants in AC or with histories of AC, were identified for inclusion. The pattern of findings revealed that callous-unemotional and psychopathic traits are elevated in children and young people with AC experiences, and positively associated with AC. Moreover, results showed associations between these traits and various psychosocial correlates, most consistently with externalizing and internalizing problems and attachment-related problems. Only two intervention studies were located, one of which found benefits of training and supporting foster caregivers for reducing callous-unemotional traits. These findings are discussed with respect to gaps in the literature, future research directions, and trauma-informed practice to assess and treat callousness/unemotionality in children and young people with experiences of AC.
The Feasibility and the Therapeutic Process Factors of Online vs. Face-to-Face Multifamily Therapy for Adults with High-Functioning Autism Spectrum Disorder in Hong Kong: A Multi-Method Study
Authors: Lo Julia W. K. , Ma Joyce L. C. , Wong Joanne C. Y. 
Published: July 2023

AbstractThe need to expand knowledge of family-based intervention for people with ASD has been observed. However, there is a lack of study in Chinese context such as Hong Kong exploring the use of multifamily therapy (MFT) for adults with ASD. The primary aim of the present study is to assess the feasibility of a process-oriented MFT in promoting family relationships for young adults with high functioning-ASD (HF-ASD) and their parents. We also sought to explore the therapeutic process factors of MFT that were deemed helpful by the family participants in our study. Two types of MFT—one online, the other face-to-face—were conducted from March to August 2021 for families with adults with HF-ASD in Hong Kong. In total, 13 families participated in our multi-method study. Among the results, cross-family therapeutic alliance and treatment engagement were positively associated with enhanced family relationships among participants. Significant differences emerged in changes in the cross-family therapeutic alliance and family relationships between the online and face-to-face MFTs. Two themes regarding the helpful aspects of MFT emerged: first, having a cross-family interactional context and, second, the authentic engagement of people with HF-ASD. Overall, our results imply that MFT, in either online or face-to-face mode, could be a feasible family group psychotherapy for adults with HF-ASD and their parents.
Smart Caching in a Data Lake for High Energy Physics Analysis
Authors: Tedeschi Tommaso , Baioletti Marco , Ciangottini Diego , Poggioni Valentina , Spiga Daniele , Storchi Loriano , Tracolli Mirco 
Published: July 2023

AbstractThe continuous growth of data production in almost all scientific areas raises new problems in data access and management, especially in a scenario where the end-users, as well as the resources that they can access, are worldwide distributed. This work is focused on the data caching management in a Data Lake infrastructure in the context of the High Energy Physics field. We are proposing an autonomous method, based on Reinforcement Learning techniques, to improve the user experience and to contain the maintenance costs of the infrastructure.
Finding Similarities in Differences Between Autistic Adults: Two Replicated Subgroups
Authors: Radhoe Tulsi A. , Agelink van Rentergem Joost A. , Torenvliet Carolien , Groenman Annabeth P. , van der Putten Wikke J. , Geurts Hilde M. 
Published: July 2023

AbstractAutism is heterogeneous, which complicates providing tailored support and future prospects. We aim to identify subgroups in autistic adults with average to high intelligence, to clarify if certain subgroups might need support. We included 14 questionnaire variables related to aging and/or autism (e.g., demographic, psychological, and lifestyle). Community detection analysis was used for subgroup identification in an original sample of 114 autistic adults with an adulthood diagnosis (autism) and 58 non-autistic adults as comparison group (COMP), and a replication sample (NAutism = 261; NCOMP = 287), both aged 30–89 years. Next, we identified subgroups and assessed external validity (for cognitive and psychological difficulties, and quality of life [QoL]) in the autism samples. To test specificity, we repeated the analysis after adding 123 adults with ADHD, aged 30–80 years. As expected, the autism and COMP groups formed distinct subgroups. Among autistic adults, we identified three subgroups of which two were replicated. One of these subgroups seemed most vulnerable on the cluster variables; this subgroup also reported the most cognitive and psychological difficulties, and lowest QoL. Adding the ADHD group did not alter results. Within autistic adults, one subgroup could especially benefit from support and specialized care, although this must be tested in future studies.
HOT and Attractive? The Hazardous Organization Tool as an Instrument to Avoid Attracting and Retaining People with Low Ethical Standards
Authors: Wang Bo , Andrews Wendy , de Vries Reinout E. 
Published: July 2023

AbstractTo foster and sustain an ethical culture, organizations need to attract and retain people with high ethical standards. However, there is a lack of knowledge about which organizational characteristics influence the pre- and post-entry work attitudes and behaviors of people with high ethical standards. To fill this gap, we drew on person–organization fit (PO fit) theories and developed the Hazardous Organization Tool (HOT) based on a broad personality trait that is strongly related to ethical standards and predictive of unethical workplace behavior—honesty-humility from the HEXACO personality model. The HOT consists of 9 items that describe organizations that are rated as more attractive by people with low ethical standards. The HOT can be used to measure the extent to which people are attracted to hazardous organizations (HOT-A) and the extent to which people perceive an organization to be hazardous (HOT-P) with different instructions but identical scale options, ensuring commensurability for testing complex fit effects. We examined the validity of the HOT in four samples (total N = 1260). We found moderate to strong correlations between attractiveness ratings of the items (HOT-A) and honesty-humility (ranging from − .31 to − .56) and dark personality traits (ranging from .37 to .63). In addition, hazardous organization perceptions (HOT-P) were related to negative work attitudes and motivation, particularly for employees who were not attracted to hazardous organizations (those with high ethical standards). Overall, the current study suggests that the Hazardous Organization Tool is a valid measure. Implications for the PO fit literature and management practice are discussed.
Biocatalyst Based on Magnetic Nanoparticles with Cu(II), Mn(II), Zn(II) and Immobilised Catalase
Authors: Długosz Olga , Matyjasik Wiktoria , Matysik Julia , Szostak Krzysztof , Śliwa Paweł , Banach Marcin 
Published: July 2023

AbstractThis article described a process for the preparation of a Fe3O4 nanocatalyst modified with Mn(II), Cu(II) and Zn(II) ions immobilised with catalase. The effectiveness of the description of the ion sorption process was compared with four equilibrium models: Langmuir, Freundlich, Redlich–Peterson and Sips. The proposed models allow the description of both single- and multi-component sorption. The results were also verified by DFT analysis. The Langmuir model describing single-component sorption and the extended Langmuir model for multi-component systems with the best fit represented the sorption of metal ions on Fe3O4. The maximum sorption capacity values in the pseudo-second-order kinetic model were 10.76, 12.87 and 10.52 mg/g for Cu(II), Zn(II) and Mn(II) in the single-component systems and 11.79, 8.54 and 2.03 mg/g for Cu(II), Zn(II) and Mn(II) in the multi-component system, respectively. The kinetics parameters were described most accurately by a pseudo-second-order model, which suggested, along with the Extended Langmuir model, the chemical nature of the sorption. After preparation of the Fe3O4/Mn–Zn–Cu material, catalase was immobilised on the surface of the material. The final material was able to decompose hydrogen peroxide with an activity of 7130 units/g of material. Modification of the material with Mn(II), Cu(II) and Zn(II) resulted in an increase in H2O2 removal efficiency exceeding 99.9%.
HPLC method development using a mixed-mode column for following 68Ga-radiolabeling
Authors: Forgács Viktória , Jószai István , Fekete Anikó , Szikra Dezső 
Published: July 2023

AbstractThe aim of our work was to develop a generally applicable liquid chromatographic method for the determination of the residue free 68Ga3+ content of labeling reaction mixtures, in order to facilitate comparative labeling experiments in the early stages of chelator development. We achieved the retention of free 68Ga3+ on a mixed mode cation exchanger HPLC column with a gradient program, which allowed the separation from the non-retained complexes. The effects of reaction conditions (time, temperature) and the application of non-coordinating buffers were examined. Furthermore, recovery of free 68Ga3+ and these complexes were investigated, values of which were 94.9–97.4% and 87.4–99.6%.
Fovea localization in retinal images using spatial color histograms
Authors: Sigut Jose , Nuñez Omar , Fumero Francisco , Alayon Silvia , Diaz-Aleman Tinguaro 
Published: July 2023

AbstractThe automatic location of the fovea is very useful for diagnosing retinal diseases. It is a complex problem for which different solutions have been proposed based on classical image processing and Deep Learning techniques. The method presented in this paper is based on histograms that combine spatial and color information in such a way that the spatial coordinates are incorporated into conventional color histograms as an additional dimension. The binarization of these histograms retains a considerable amount of relevant information from the original image, allowing them to be processed as if they were ordinary images. This approach to the problem results in a simple, fast and effective method for locating the fovea. Different experiments have been carried out with three popular sets of images: Messidor, REFUGE1 and DIARETDB1, and a comparison was made with other state-of-the-art techniques. Our results show that the proposed method, despite its simplicity, is capable of surpassing many of these techniques.
Predicting iron deficiency and oxidative stress in Glycine max through Fourier transform infrared spectroscopy in a time-course experiment
Authors: Santos Carla S. , Sousa Clara , Bagheri Maryam , Pinho Simão , Vasconcelos Marta W. 
Published: July 2023

Abstract
Aims
The excessive use of fertilizers is a problem in current agricultural systems, and sustainable farming practices, including precision agriculture, demand the use of new technologies to manage plant stress at an early stage. To sustainably manage iron (Fe) fertilization in agricultural fields, it is urgent to develop early detection methods for Fe deficiency, and linked oxidative stress, in plant leaves. Herein, the potential of using Fourier Transform Infrared (FTIR) spectroscopy for Fe deficiency and oxidative stress detection in soybean plants was evaluated.

Methods
After a period of two weeks of hydroponic growth under optimum conditions, soybean plants were grown under Fe-sufficient (Fe+) and Fe-deficient (Fe–) hydroponic conditions for four weeks. Sampling occurred every week, infrared (IR) spectra were acquired and biological parameters (total chlorophyll, anthocyanins and carotenoids concentration, and ABTS and DPPH free radical scavenging ability), mineral concentrations, and the Fe-related genes’ expression - FRO2- and IRT1-like - were evaluated.

Results
Two weeks after imposing Fe deficiency, plants displayed decreased antioxidant activity, and increased expression levels of FRO2- and IRT1-like genes. Regarding the PLS models developed to estimate the biological parameters and mineral concentrations, satisfactory calibration models were globally obtained with R2C from 0.93 to 0.99. FTIR spectroscopy was also able to discriminate between Fe + and Fe– plants from an early stage of stress induction with 96.3% of correct assignments.

Conclusion
High reproducibility was observed among the different spectra of each sample and FTIR spectroscopy may be an early, non-invasive, cheap, and environmentally friendly technique for IDC management.
Application of radiomics and machine learning to thyroid diseases in nuclear medicine: a systematic review
Authors: Dondi Francesco , Gatta Roberto , Treglia Giorgio , Piccardo Arnoldo , Albano Domenico , Camoni Luca , Gatta Elisa , Cavadini Maria , Cappelli Carlo , Bertagna Francesco 
Published: July 2023

AbstractBackground: In the last years growing evidences on the role of radiomics and machine learning (ML) applied to different nuclear medicine imaging modalities for the assessment of thyroid diseases are starting to emerge. The aim of this systematic review was therefore to analyze the diagnostic performances of these technologies in this setting. Methods: A wide literature search of the PubMed/MEDLINE, Scopus and Web of Science databases was made in order to find relevant published articles about the role of radiomics or ML on nuclear medicine imaging for the evaluation of different thyroid diseases. Results: Seventeen studies were included in the systematic review. Radiomics and ML were applied for assessment of thyroid incidentalomas at 18 F-FDG PET, evaluation of cytologically indeterminate thyroid nodules, assessment of thyroid cancer and classification of thyroid diseases using nuclear medicine techniques. Conclusion: Despite some intrinsic limitations of radiomics and ML may have affect the results of this review, these technologies seem to have a promising role in the assessment of thyroid diseases. Validation of preliminary findings in multicentric studies is needed to translate radiomics and ML approaches in the clinical setting.
Review on flexible perovskite photodetector: processing and applications
Authors: Zhang Xuning , Liu Xingyue , Huang Yifan , Sun Bo , Liu Zhiyong , Liao Guanglan , Shi Tielin 
Published: July 2023

AbstractNext-generation optoelectronics should possess lightweight and flexible characteristics, thus conforming to various types of surfaces or human skins for portable and wearable applications. Flexible photodetectors as fundamental devices have been receiving increasing attention owing to their potential applications in artificial intelligence, aerospace industry, and wise information technology of 120, among which perovskite is a promising candidate as the light-harvesting material for its outstanding optical and electrical properties, remarkable mechanical flexibility, low-cost and low-temperature processing methods. To date, most of the reports have demonstrated the fabrication methods of the perovskite materials, materials engineering, applications in solar cells, light-emitting diodes, lasers, and photodetectors, strategies for device performance enhancement, few can be seen with a focus on the processing strategies of perovskite-based flexible photodetectors, which we will give a comprehensive summary, herein. To begin with, a brief introduction to the fabrication methods of perovskite (solution and vapor-based methods), device configurations (photovoltaic, photoconductor, and phototransistor), and performance parameters of the perovskite-based photodetectors are first arranged. Emphatically, processing strategies for photodetectors are presented following, including flexible substrates (i.e., polymer, carbon cloth, fiber, paper, etc.), soft electrodes (i.e., metal-based conductive networks, carbon-based conductive materials, and two-dimensional (2D) conductive materials, etc.), conformal encapsulation (single-layer and multilayer stacked encapsulation), low-dimensional perovskites (0D, 1D, and 2D nanostructures), and elaborate device structures. Typical applications of perovskite-based flexible photodetectors such as optical communication, image sensing, and health monitoring are further exhibited to learn the flexible photodetectors on a deeper level. Challenges and future research directions of perovskite-based flexible photodetectors are proposed in the end. The purpose of this review is not only to shed light on the basic design principle of flexible photodetectors, but also to serve as the roadmap for further developments of flexible photodetectors and exploring their applications in the fields of industrial manufacturing, human life, and health care.