bluuebunny/crossref_metadata_2025_split huggingface dataset:
Social media influencers' impact during pregnancy and parenting: A qualitative descriptive study
Authors: Chee Rachelle M. , Capper Tanya S. , Muurlink Olav T. 
Published: October 2023

AbstractPregnant people and parents engage with social media networking sites seeking support and information that is shared in a relatable way. Engaging with social media influencers (SMIs) and their followers, however, may have both affirming and harmful effects. SMIs can facilitate information‐sharing, discussion, and supportive behaviors, but engaging with SMIs can lead to negative experiences and exposure to misinformation. To date, little is known about the impacts of following influencers during pregnancy and early parenthood. The aim of this study was to explore how engaging with SMIs impacts pregnant people and parents of children aged 5 or under in Australia. A qualitative descriptive approach was taken. Qualitative data from 85 anonymously completed online written surveys were thematically analyzed using Braun & Clarke's six‐step process. Five overarching themes and two subthemes were identified. The first theme, “Comparisons of self,” held two subthemes: “Unfavorable comparisons of self to SMIs” and “Favorable comparisons of self to SMIs.” Additional themes were “A virtual community of inspiration and togetherness,” “Sharing of information, opinions & experiences,” “Gatekeeping self‐efficacy,” and “Credibility.” The findings of the study indicated that discordance between influencer‐mediated expectations of parenthood and a person's actual experience may affect well‐being and perceptions of parental self‐efficacy. Information sought from influencers may substitute for face‐to‐face education by clinicians. Health professionals who are also influencers may possess the ability to provide evidence‐based information. This content, however, is not without risk for bias or incompleteness.
Cover Image
Authors: Zeng Zheng , Lin Caiji , Zhang Meng‐Chun , Kossinna Pathum , Wang Pengfei , Cao Danli , Wang Jiaxing , Xu Mengzhi , Wang Xiaoyu , Li Qing , Xu Xiaohui , Yang Hao , Zhu Songling , Liu Gui‐Rong , Xie Kaihong , Yang Jiaming , Luo Yao , Wang Yao , Zhang Xing‐Hua , Lin Jingwen , Chen Hang , Liu Shu‐Lin , Liu Huidi 
Published: October 2023

The cover image is based on the Research Article Enterolactone and trabectedin suppress epithelial ovarian cancer synergistically via upregulating THBS1 by Zheng Zeng and Caiji Lin et al., https://doi.org/10.1002/ptr.7942.image
The effect of diurnal warming of sea‐surface temperatures on the propagation speed of the Madden–Julian oscillation
Authors: Karlowska Eliza , Matthews Adrian J. , Webber Benjamin G. M. , Graham Tim , Xavier Prince 
Published: October 2023

AbstractThe diurnal warm layer in the upper ocean develops during low surface winds and high incoming solar radiation conditions, often increasing sea‐surface temperatures (SSTs) by up to 1°C. The suppressed phase of the Madden–Julian Oscillation (MJO) favours the formation of such a layer. Here, we analyse the coupled ocean–atmosphere and atmosphere‐only numerical weather prediction systems of the UK Met Office to reveal that important differences arise from the representation of the diurnal warm layer in the coupled model. Though both models are skilful in predicting the MJO to at least a 7‐day lead time, the coupled model predicts approximately 12% faster MJO RMM phase speed propagation than the atmosphere‐only model due to the ability to resolve diurnal warming in the upper ocean that rectifies onto MJO‐associated SST anomalies. The diurnal warming of SST (dSST) in the coupled model leads to an increase in daily mean SST compared with the atmosphere‐only model persisted foundation SST. The strength of the dSST in the coupled model is modulated by MJO conditions. During suppressed MJO conditions on lead day 1, the dSST is enhanced, leading to 0.2°C warmer daily mean MJO‐associated SST anomalies and increased convection in the coupled model by lead day 7. During active MJO convection, the dSST is suppressed, leading to 0.1°C colder MJO‐associated SST anomalies in the coupled model and reduced convection by lead day 7. This variability in dSST further amplifies the MJO propagation speed, underlining the importance of the two‐way feedback between the MJO and the diurnal cycle of SST and the need to accurately represent this process in coupled models.
Cooperative learning event‐triggered control for discrete‐time nonlinear multi‐agent systems by internal and external interaction topology
Authors: Wen Penghai , Wang Min , Dai Shi‐Lu 
Published: October 2023

AbstractThis paper investigates distributed cooperative learning event‐triggered control for discrete‐time strict‐feedback nonlinear multi‐agent systems with an identical system structure and different recurrent reference orbits. A clever system decomposition method is firstly proposed to divide every ‐order agent system into first‐order subsystems, which makes it possible to solve the tough problem that every estimated neural weight cannot converge to an unique ideal value based on the existing control scheme. By constructing two interaction typologies, a novel distributed cooperative weight updating law is designed by the introduction of the internal interaction terms between subsystems of every agent, the external interaction terms between agents, and the triggering mechanism between agents. With the combination of the graph multiplication operation, the consensus theory and the matrix null space property, the proposed cooperative event‐triggered control scheme guarantees that every agent can track their corresponding recurrent reference trajectories. And further the exponential convergence of all agents' neural estimated weights to a close vicinity around their mutual and unique ideal weights is verified under the condition that the directed interaction topology between agents is strongly connected and balanced. Such a weight convergence makes the proposed scheme has some significant advantages including the small data storage space, the convenient knowledge reuse, the good generalization ability, and the low communication burden. By reinvoking the saved constant weights, a static learning controller is presented for the high‐performance control of similar diversified tracking tasks. Simulation studies and some comparisons are given to show the advantages and effectiveness of the presented scheme.
Indicators of port sustainability: The example of Baltic Sea container ports
Authors: Bartosiewicz Aleksandra , Kucharski Adam 
Published: October 2023

AbstractContainer ports are key elements of global supply chains. Recent changes in the transport market put greater pressure on ports to operate sustainably and contribute more to socio‐economic development for regions, countries, and communities. This research presents a Triple Bottom Line (TBL) metric comprising 25 economic, environmental, and social indicators to assess the port sustainability of the 10 biggest container ports in the Baltic Sea Region. The proposed method is applicable to any port and may be of interest to port managers and operators. The study uses publicly available data, which is its biggest limitation because the ports differ in their information policies. The results show that Nordic ports (except Rauma), together with the Port of Tallinn, are leaders in implementing port sustainable initiatives. Ports from countries where the principles of sustainable development have not yet been properly instilled, in turn, tend to implement sustainable initiatives only if necessary and economically feasible.
Enabling Extreme Low‐Temperature (≤ −100 °C) Battery Cycling with Niobium Tungsten Oxides Electrode and Tailored Electrolytes
Authors: Kim Soohwan , Zhang Yizhi , Wang Haiyan , Adams Thomas E. , Pol Vilas G. 
Published: October 2023

AbstractThe degradation of current Li‐ion batteries (LIBs) hinders their use in electronic devices, electric vehicles, and other applications at low temperatures, particularly in extreme environments like the polar regions and outer space. This study presents a pseudocapacitive‐type niobium tungsten oxides (NbWO) electrode material combined with tailored electrolytes, enabling extreme low‐temperature battery cycling for the first time. The synthesized NbWO material exhibits analogous structural properties to previous studies. Its homogenous atom distribution can further facilitate Li+ diffusion, while its pseudocapacitive Li+ storage mechanism enables faster Li+ reactions. Notably, the NbWO electrode material exhibits remarkable battery performance even at −60 and −100 °C, showcasing capacities of ≈90 and ≈75 mAh g−1, respectively. The electrolytes, which have demonstrated favorable Li+ transport attributes at low temperatures in the earlier investigations, now enable extreme low‐temperature battery operations, a feat not achievable with either NbWO or the electrolytes independently. Moreover, the outcomes extend to −120 °C and encompass a pouch‐type cell configuration at −100 °C, albeit with reduced performance. This study highlights the potential of NbWO for developing batteries for their use in extremely frigid environments.
Posttreatment stability following therapy using passive self-ligating brackets: extraction vs. nonextraction
Authors: Sayahpour Babak , Lau Diana , Eslami Sara , Buehling Sarah , Kopp Stefan , Jamilian Abdolreza , Chhatwani Sachin 
Published: October 2023

Abstract
Purpose
This study aimed to evaluate the effects of lower premolar extraction on posttreatment stability one year following fixed orthodontic treatment with passive self-ligating brackets (Damon system, Ormco, Orange, CA, USA).

Methods
All patients were treated with fixed orthodontic appliances using passive self-ligating brackets (Damon). For retention, removable Hawley retainers were used. Two groups of patients were included in the study. Each group consisted of 23 patients: group Ex consisted of 10 male and 13 female patients (13.4 ± 1.6 years old) with extraction of lower first premolars and group NonEx consisted of 11 male and 12 female patients (13.4 ± 3.9 years old) without dental extractions. The patients’ dental models and photographs were assessed at T0 (pretreatment), T1 (the end of active orthodontic treatment: 3.3 ± 1.0 years in the Ex and 2.3 ± 0.8 years in the NonEx group) and at T2 (1 year posttreatment). All lower casts were scanned and the following dental parameters were recorded and compared between the two groups: intercanine width (ICW), anterior arch width (AAW), intermolar width (IMW), Little’s irregularity index (LII) and gingival recessions.

Results
An increase in ICW (group Ex: 1.20 ± 2.51 mm and group NonEx: 0.84 ± 1.48 mm) by the end of active treatment (T1; P < 0.05), as well as a relapse regarding the ICW (group Ex: −0.1 ± 0.47 mm and group NonEx: −67% ± 0.38 mm) one year post-treatment (T2) were recorded in the samples. Relapse in the non-extraction group was statistically and clinically significant, whereas ICW values remained relatively stable in the extraction group during the posttreatment period (T1–T2). The irregularity index decreased during treatment (group Ex: −8.79 ± 6.36 mm and group NonEx: −5.24 ± 2.99 mm) and relapsed in both groups (group Ex: 0.57 ± 90 mm and group NonEx: 0.27 ± 0.53). The rate of relapse in LII was correlated to the relapse rate of ICW. A reduction of IMW was recorded in the Ex group (−1.89 ± 1.82 mm) during active treatment (P < 0.05), which remained stable 1 year posttreatment. AAW increased in both groups (group Ex: 2.77 ± 1.77 mm and group NonEx: 1.77 ± 2.04 mm) throughout active treatment and remained stable at T2.

Conclusion
Intergroup comparison revealed that ICW remained stable 1 year posttreatment in the Ex group, whereas high relapse of ICW was recorded in the NonEx group. Furthermore, risk of a relapse of LII appears to be higher in cases with a relapse of the ICW.
Manualtherapeutische Ansätze bei zervikaler Radikulopathie
Authors: Ogorevc Hana , Moser Klemens 
Published: October 2023

Zusammenfassung
Hintergrund
Die zervikale Radikulopathie (ZR) ist mit einer Inzidenz von 83,2 pro 100.000 Personen eine weitverbreitete neuromuskuloskeletale Erkrankung, bei der es zu einer Nervenwurzelirritation in der Halswirbelsäule kommt. Schmerzen und oftmals neurologische Symptome schränken die Betroffenen im Alltag stark ein. Für viele Patienten bedeutet die Erkrankung sogar die Arbeitsunfähigkeit. Da die konservative Behandlung bei diesem Krankheitsbild bei entsprechender klinischer Diagnostik das primäre Vorgehen darstellt, werden verschiedenste Techniken und Methoden für den Behandlungsprozess verwendet.

Ziel
Ziel dieser Arbeit ist es, die Wirksamkeit manualtherapeutischer Techniken bei der Behandlung von Patienten mit einer ZR in Bezug auf die Schmerzlinderung und die Funktionsverbesserung zu evaluieren.

Material und Methoden
Mittels Literaturrecherche in den Datenbanken PubMed, PEDro und Cochrane wurden Studien recherchiert und nach Durchsicht kritisch beurteilt und zusammengefasst.

Ergebnisse
Die Wirksamkeit der manuellen Therapie (MT) als Einzelintervention lässt sich schwer feststellen, da in den verwendeten Studien eine sehr große Variabilität in der Diagnostik und Durchführung besteht. Bei den Studien lassen sich vereinzelt Tendenzen erkennen, genaue Aussagen können jedoch nicht getroffen werden. In allen 7 analysierten Studien wurden allerdings signifikant positive Effekte im multimodalen Setting bei einer ZR bezüglich der Schmerzreduktion und Funktionsverbesserungen, bei dem die MT inkludiert wurde, festgestellt. Empfohlen wird daher ein umfangreiches Behandlungsprogramm mit inkludierter MT. Die Ergebnisse des Studienvergleichs beziehen sich nur auf kurzfristige Veränderungen des Wirkungsbereichs, da meist kein längeres Follow-up erfolgte.

Schlussfolgerungen
Um die Wirksamkeit der MT als Einzelintervention besser beurteilen zu können, braucht es einheitliche Kriterien für die Diagnostik und Behandlung der ZR sowie größere Stichprobengrößen und längere Zeiten der Nachuntersuchung. In der physiotherapeutischen Praxis sollte die MT als multimodaler Therapieansatz in Kombination mit anderen Behandlungsmaßnahmen durchgeführt werden.
Emotional barriers and facilitators of deprescribing for older adults with cancer and polypharmacy: a qualitative study
Authors: Ramsdale Erika , Malhotra Arul , Holmes Holly M. , Zubkoff Lisa , Wang Jinjiao , Mohile Supriya , Norton Sally A. , Duberstein Paul R. 
Published: October 2023

Abstract
Purpose
To describe emotional barriers and facilitators to deprescribing (the planned reduction or discontinuation of medications) in older adults with cancer and polypharmacy.

Methods
Virtual focus groups were conducted over Zoom with 5 key informant groups: oncologists, oncology nurses, primary care physicians, pharmacists, and patients. All groups were video- and audio-recorded and transcribed verbatim. Focus group transcripts were analyzed using inductive content analysis, and open coding was performed by two coders. A codebook was generated based on the initial round of open coding and updated throughout the analytic process. Codes and themes were discussed for each transcript until consensus was reached. Emotion coding (identifying text segments expressing emotion, naming the emotion, and assigning a label of positive or negative) was performed by both coders to validate the open coding findings.

Results
All groups agreed that polypharmacy is a significant problem. For clinicians, emotional barriers to deprescribing include fear of moral judgment from patients and colleagues, frustration toward patients, and feelings of incompetence. Oncologists and patients expressed ambivalence about deprescribing due to role expectations that physicians “heal with med[ication]s.” Emotional facilitators of deprescribing included the involvement of pharmacists, who were perceived to be neutral, discerning experts. Pharmacists described emotionally aware communication strategies when discussing deprescribing with other clinicians and expressed increased awareness of patient context.

Conclusion
Deprescribing can elicit strong and predominantly negative emotions among clinicians and patients which could inhibit deprescribing interventions. The involvement of pharmacists in deprescribing interventions could mitigate these emotional barriers.

Trial registration
ClinicalTrials.gov Identifier: NCT05046171. Date of registration: September 16, 2021.
Generation and validation of a myoglobin knockout zebrafish model
Authors: Hejlesen Rasmus , Kjær-Sørensen Kasper , Fago Angela , Oxvig Claus 
Published: October 2023

AbstractPrevious studies using myoglobin (Mb) knockout mice and knockdown zebrafish have presented conflicting results about in vivo phenotypes resulting from the loss of this conserved and highly expressed protein, and therefore a new well-characterized knockout model is warranted. We here describe the generation of three distinct zebrafish mb knockout lines using the CRISPR/Cas system. None of the three lines exhibited any morphological phenotypes, changes in length, or lethality during embryonic and larval development. The adult homozygous knockout mb(Auzf13.2) zebrafish line were absent of Mb protein, had an almost complete degradation of mb mRNA, and showed no changes in viability, length, or heart size. Furthermore, transcriptomic analysis of adult heart tissue showed that mb knockout did not cause altered expression of other genes. Lastly, no off-targeting was observed in 36 screened loci. In conclusion, we have generated three mb knockout lines with indistinguishable phenotypes during embryonic and larval development and validated one of these lines, mb(Auzf13.2), to have no signs of genetic compensation or off-target effects in the adult heart. These findings suggests that the mb(Auzf13.2) shows promise as a candidate for investigating the biological role of Mb in zebrafish.
Real-World-Evidenz für den Einsatz von digitaler kognitiver Verhaltenstherapie bei Insomnie in der Regelversorgung
Authors: Maurer Leonie F. , Aust Felix , Lorenz Noah 
Published: October 2023

Zusammenfassung
Hintergrund
Durch die Einführung digitaler Gesundheitsanwendungen (DiGA) in Deutschland besteht seit Oktober 2020 ein digitales Therapieangebot für die chronische Insomnie durch die DiGA somnio (mementor DE GmbH, Leipzig, Deutschland). Diese setzt die leitliniengerechte kognitive Verhaltenstherapie für Insomnie (KVT-I) digital um und kann beim Vorliegen einer Insomniediagnose verordnet werden. Der Einsatz der DiGA macht es möglich, die digitale KVT‑I erstmalig im Rahmen einer Anwendungsbeobachtung in der Regelversorgung zu untersuchen.

Ziel der Arbeit
Durch die Untersuchung der Nutzerdaten von somnio soll ein umfassenderes Verständnis zur Wirkung der digitalen KVT‑I in der Regelversorgung ermittelt werden.

Material und Methoden
Wir haben die Daten von N = 5000 zufällig ausgewählten Nutzer:innen ausgewertet, welche somnio in den Jahren 2021–2022 abgeschlossen haben und bei Beginn einen Insomnieschweregrad gemäß Insomnie-Schweregrad-Index (ISI) ≥ 8 angaben. Die Insomnieschwere und das Schlafverhalten wurden über den Verlauf der digitalen Intervention deskriptiv ausgewertet. Innergruppenveränderungen wurden anhand von Cohen’s d berechnet, um Aufschluss über das jeweilige Effektmaß zu geben.

Ergebnisse
Die Auswertung zeigte eine Verringerung der mittleren ISI-Werte um −8,49 ± 5,39 Punkte zwischen Beginn und Abschluss der Anwendung (d = 1,58). Bei Abschluss erfüllten 57 % die Kriterien einer klinisch signifikanten Veränderung (Reduzierung ≥ 8 Punkte auf dem ISI) und 38 % erfüllten die Kriterien für eine Remission (ISI < 8). Auswertungen der Tagebucheinträge zeigten eine deutliche Verbesserung der Schlafkontinuität und -qualität (ds = 0,68–1,07).

Diskussion
In Übereinstimmung mit kontrollierten Studien zeigen die Daten aus der Praxis, dass die Anwendung der digitalen KVT‑I zu klinisch bedeutsamen Verbesserungen der Insomnie und des Schlafs führen kann. Damit unterstützen die Ergebnisse den Einsatz digitaler Therapien in der Regelversorgung.
Preliminary colour characterisation of a Stratasys J750 digital anatomy printer with different fillings and face orientations
Authors: Badar Faizan , Vandi Luigi-Jules , Carluccio Danilo , Redmond Michael , Novak James I. 
Published: October 2023

AbstractMulticolour capability in additive manufacturing could play a key role in certain applications such as surgical training and consumer products. However, the ability to accurately 3D print colours is not well documented and could affect the realism of models produced through these technologies. As a recent system, the Stratasys J750 Digital Anatomy Printer has yet to be analyzed for its colour perception and accuracy, which is quantified through this study. This will allow users of this and similar material jetting systems with an improved understanding of the relationship between digitally applied colours and their result when 3D printed, as well as the influence of certain settings. Thirty-three rectangular prism models with different CMYK and RGB colours, as well as infill materials, were printed on a Stratasys J750 DAP printer. These were scanned on five faces using a Nix Mini 2 handheld colour sensor, documenting readings in CIELAB format. The data were analyzed using the CIEDE2000 colour difference formula, and its recent modifications for 3D printed objects. Results found statistically significant and perceptive differences in colour accuracy among different colours, core materials, and face orientations. It was also observed that the addition of VeroPureWhite as filler material instead of the default SUP706 support improved colour accuracy. The study recommends the following steps to improve colour accuracy: (i) avoid the addition of black (K) manually in CMYK colour space, (ii) use pure white as the base infill material instead of support material, (iii) add a little white (~ 10%–30%) to make samples opaque instead of translucent.
Transfer learning for hate speech detection in social media
Authors: Yuan Lanqin , Wang Tianyu , Ferraro Gabriela , Suominen Hanna , Rizoiu Marian-Andrei 
Published: October 2023

AbstractToday, the internet is an integral part of our daily lives, enabling people to be more connected than ever before. However, this greater connectivity and access to information increase exposure to harmful content, such as cyber-bullying and cyber-hatred. Models based on machine learning and natural language offer a way to make online platforms safer by identifying hate speech in web text autonomously. However, the main difficulty is annotating a sufficiently large number of examples to train these models. This paper uses a transfer learning technique to leverage two independent datasets jointly and builds a single representation of hate speech. We build an interpretable two-dimensional visualization tool of the constructed hate speech representation—dubbed the Map of Hate—in which multiple datasets can be projected and comparatively analyzed. The hateful content is annotated differently across the two datasets (racist and sexist in one dataset, hateful and offensive in another). However, the common representation successfully projects the harmless class of both datasets into the same space and can be used to uncover labeling errors (false positives). We also show that the joint representation boosts prediction performances when only a limited amount of supervision is available. These methods and insights hold the potential for safer social media and reduce the need to expose human moderators and annotators to distressing online messaging.