bluuebunny/crossref_metadata_2025_split huggingface dataset:
Daily mood and cognitive performance of women with and without bipolar disorder: role of menopausal status
Authors: Liu Yanlin , Ng Hui Xin , Klaus Federica , Young Jared W. , Eyler Lisa T. 
Published: September 2023

AbstractWe examined the role of menopausal status in daily mood and cognitive performance among women with bipolar disorder (BD) compared to healthy comparison women. We analyzed the association of menopausal status, bipolar diagnosis, and their interaction on daily mood assessed by mobile surveys and attentional performance measured multiple times over 2 weeks. Menopausal status was associated with more daily negative affect in women with BD, but not related to attentional performance.
Sinus- und Kortikalvenenthrombose: das Chamäleon des sekundären Kopfschmerzes
Authors: Kellermair Lukas 
Published: September 2023

ZusammenfassungDie zerebrale Sinusvenen- und Kortikalvenenthrombose (CSVT) ist eine seltene, aber lebensbedrohliche Erkrankung, und ihre Diagnose bleibt eine Herausforderung. Sie manifestiert sich mit einem breiten Spektrum von Symptomen wie Kopfschmerzen, Sehstörungen, fokal neurologischen Ausfällen oder epileptischen Anfällen. Die Dynamik, Prognose und das Ausmaß der Erkrankung hängen maßgeblich von der Beteiligung kortikaler Venen sowie von der Effizienz venöser Kollateralkreisläufe ab. Ätiologisch stehen orale Kontrazeption, Schwangerschaft und insbesondere die Postpartumperiode, aber auch genetische Thrombophilien und Krebserkrankungen in Mitteleuropa am häufigsten mit einer CSVT in Zusammenhang. Intrazerebrale Blutungen bei CSVT stellen keine Kontraindikation für eine Vollheparinisierung dar. Im Verlauf erfolgt die Umstellung auf eine orale Antikoagulation, wobei sich die Therapiedauer an der zugrunde liegenden Ätiologie der CSVT orientiert.
Mineralization and morphology of peri-implant bone around loaded and unloaded dental implants retrieved from the human mandible
Authors: Zamparini Fausto , Gandolfi Maria Giovanna , Spinelli Andrea , Ferri Mauro , Iezzi Giovanna , Botticelli Daniele , Prati Carlo 
Published: September 2023

Abstract
Purpose
Limited data is reported regarding the bone mineralization around dental implants in the first months from insertion. The study analyzed the peri-implant bone around loaded and unloaded implants retrieved from human mandible after 4 months from placement.

Method
The composition and mineralization of human bone were analyzed through an innovative protocol technique using Environmental-Scanning-Electron-Microscopy connected with Energy-Dispersive-X-Ray-Spectroscopy (ESEM/EDX). Two regions of interest (ROIs, approximately 750×500 μm) for each bone implant sample were analyzed at the cortical (Cortical ROI) and apical (Apical ROI) implant threads. Calcium, phosphorus, and nitrogen (atomic%) were determined using EDX, and the specific ratios (Ca/N, P/N, and Ca/P) were calculated as mineralization indices.

Results
Eighteen implant biopsies from ten patients were analyzed (unloaded implants, n=10; loaded implants, n=8). For each ROI, four bone areas (defined bones 1–4) were detected. These areas were characterized by different mineralization degree, varied Ca, P and N content, and different ratios, and by specific grayscale intensity detectable by ESEM images. Bony tissue in contact with loaded implants at the cortical ROI showed a higher percentage of low mineralized bone (bone 1) and a lower percentage of remodeling bone (bone 2) when compared to unloaded implants. The percentage of highly mineralized bone (bone 3) was similar in all groups.

Conclusion
Cortical and apical ROIs resulted in a puzzle of different bone “islands” characterized by various rates of mineralization. Only the loaded implants showed a high rate of mineralization in the cortical ROI.
Antiplatelet therapy in aneurysmal subarachnoid hemorrhage: an updated meta-analysis
Authors: Lee Keng Siang , Lee Cheyenne , Dhillon Permesh S. , Kirollos Ramez , Nga Vincent D.W. , Yeo Tseng Tsai , Henkes Hans , Arthur Adam S. , Yeo Leonard L.L. , Bhogal Pervinder 
Published: September 2023

AbstractAntiplatelet therapy (AT) may serve to reduce the effects of aneurysmal subarachnoid hemorrhage (aSAH)-induced pro-coagulant state in the cerebral circulation. Several studies, however, have delivered conflicting conclusions on the efficacy of AT post aSAH. Systematic searches of Medline, Embase, and Cochrane Central were undertaken on 27th March 2023. The primary outcome was delayed cerebral ischaemia (DCI). Secondary outcomes were symptomatic and angiographic vasospasm, good functional outcome (modified Rankin Scale [mRS] with scores 0–2), hemorrhagic events, and in-hospital mortality. Twenty-two studies reporting 4378 patients with aSAH were included in the meta-analysis. AT was associated with lower rates of DCI (RR=0.62, 95% CI: 0.43; 0.89), symptomatic vasospasm (RR=0.63, 95% CI: 0.46; 0.86), and moderate/severe angiographic vasospasm (RR=0.74, 95% CI: 0.65; 0.84), with no effect on hemorrhagic complications (RR=1.36, 95% CI: 0.77; 2.41). When analyzing only post-ictal use of AT, AT additionally favored rates of good functional outcomes (RR=1.18, 95% CI: 1.10; 1.26) and in-hospital mortality (RR=0.56, 95% CI: 0.39; 0.80). In the subgroup treated with cilostazol, AT was associated with lower rates of DCI (RR=0.40, 95% CI: 0.32), symptomatic vasospasm (RR=0.47, 95% CI: 0.33; 0.65), moderate/severe angiographic vasospasm (RR=0.75, 95% CI: 0.57; 0.98) and good functional outcome (RR=1.24, 95% CI: 1.08; 1.43). In the surgically treated aSAH subgroup, AT favored rates of symptomatic vasospasm (RR=0.55, 95% CI: 0.30; 0.98), moderate/severe angiographic vasospasm (RR=0.70, 95% CI: 0.54; 0.90) and good functional outcome (RR=1.23, 95% CI: 1.09; 1.41). In the endovascularly treated aSAH subgroup, AT was associated with lower rates of in-hospital mortality (RR=0.60, 95% CI: 0.41; 0.88). In aSAH patients, post-ictal AT is associated with benefits in terms of rates of DCI, vasospasm, good functional outcomes, and in-hospital mortality without an increased risk of hemorrhagic events.
From accessibility to inclusion in the theatre: exploring the spectrum between traditional audio introductions and mainstream theatre podcasts
Authors: Hermosa-Ramírez Irene , Reviers Nina 
Published: September 2023

AbstractTheatres are creating a growing audiovisual ecosystem outside the physical venue, including podcasts and audio introductions (AI), marketed as content for the general public, as an accessibility service or both. This article explores these genres and discusses their potential contribution to the existing “cluster” (Roofthooft in Theaterervaring bij blinden en slechtzienden: een cluster van mogelijkheden: een praktijkgericht onderzoek naar toegankelijkheidsmodaliteiten die bijdragen tot een inclusieve theaterervaring, 2021) of accessibility options that create achievement spaces (Neves in The Palgrave handbook of audiovisual translation and media accessibility. Palgrave Macmillan, Cham, 2020) for all. Four episodes of podcasts–AIs are analysed, applying systemic functional linguistics (Halliday and Matthiessen in Halliday’s introduction to functional grammar. London and New York, Routledge, 2014) as a framework. The analysis suggests that “mainstream” podcasts focus on the piece, while AIs refer mostly to the production. The AI communicative functions (Reviers in J Special Transl 35:69–95 8:334–338, 2021) experience a noticeable shift in the mainstream podcasts, as the foreshadowing function (disclosing visual elements of a play) is minimised in favour of informative and certain aesthetic functions. The institutional and expert roles of the speakers in the podcasts allow them to introduce poetic language and address the audience more explicitly, in a similar vein to integrated audio description (Fryer in J of Audiov Transl 1(1):170–186, 2018). Unlike traditional AIs, podcasts include music and ad-libs, incorporating another layer of texture to the text. Mainstream podcasts have the potential to become a complementary access modality to AIs, since they minimise ocular-centric practices present in AI and AD (Chottin and Thompson in L’Esprit Créateur 61(4):32–44, 2021). Furthermore, the hybrid podcast type could be an inclusive solution that targets a wider audience.
Soft computing techniques for biomedical data analysis: open issues and challenges
Authors: Houssein Essam H. , Hosney Mosa E. , Emam Marwa M. , Younis Eman M. G. , Ali Abdelmgeid A. , Mohamed Waleed M. 
Published: September 2023

AbstractIn recent years, medical data analysis has become paramount in delivering accurate diagnoses for various diseases. The plethora of medical data sources, encompassing disease types, disease-related proteins, ligands for proteins, and molecular drug components, necessitates adopting effective disease analysis and diagnosis methods. Soft computing techniques, including swarm algorithms and machine learning (ML) methods, have emerged as superior approaches. While ML techniques such as classification and clustering have gained prominence, feature selection methods are crucial in extracting optimal features and reducing data dimensions. This review paper presents a comprehensive overview of soft computing techniques for tackling medical data problems through classifying and analyzing medical data. The focus lies mainly on the classification of medical data resources. A detailed examination of various techniques developed for classifying numerous diseases is provided. The review encompasses an in-depth exploration of multiple ML methods designed explicitly for disease detection and classification. Additionally, the review paper offers insights into the underlying biological disease mechanisms and highlights several medical and chemical databases that facilitate research in this field. Furthermore, the review paper outlines emerging trends and identifies the key challenges in biomedical data analysis. It sheds light on this research domain’s exciting possibilities and future directions. The enhanced understanding of soft computing techniques and their practical applications and limitations will contribute to advancing biomedical data analysis and support healthcare professionals in making accurate diagnoses.
The effect of aquatic and land exercise on the mental well-being of women following breast cancer surgery-comparative study
Authors: Czenczek-Lewandowska Ewelina , Szeliga Ewa , Leszczak Justyna 
Published: September 2023

Abstract
Purpose
Women after surgical treatment of breast cancer are less likely to engage in physical activity and may exhibit depressive symptoms even for many years post-treatment. The aim of the study was to compare the impact of 6 months aquatic and land exercise on mental well-being of women after breast cancer surgery.

Methods
The study was based on a survey which involved a total of 90 women ≥ 50 years of age (including 60 subjects after treatment of breast cancer ≥ 2 years after surgery and 30 healthy control). The study participants were divided into three groups, i.e. women attending general exercise sessions in a gym (A, n = 30), participating in aquatic exercise (B, n = 30), as well as healthy female peers reporting no regular physical exercise for the period of 6 months (C, n = 30). The present data were acquired using standardized questionnaires designed to assess physical activity (IPAQ-SF), mental well-being (WHO-5) and level of anxiety, i.e., Generalized Anxiety Disorder Questionnaire (GAD-7).

Results
Both the aquatic and land exercise had positive effect on mental well-being of woman after breast cancer surgery and there were no significant differences between them. Analysis of the anxiety level (GAD-7) confirms that women after breast cancer treatment were more exposed to a feeling of generalised anxiety disorder, i.e. 8.67 vs. 6.73, 4.5 (p = 0.001). The results of WHO-5 index were significantly higher in the A and B groups comparing to healthy control, i.e. 13.27 vs. 14.18; 10.10 (p < 0.001), but the obtained results still indicate the low self-esteem of the study group. Women after breast cancer surgery who regularly participated in aquatic exercise were engaged in more vigorous physical activity compared to the other groups, i.e. 1049.33 vs. 521.33; 860.00 MET min/week (p = 0.001).

Conclusion
Regardless of the type of physical activity, 6 months aquatic and land exercise contributed to improved mental well-being and ensured adequate levels of moderate physical activity of woman after BC surgery. Regular physical activity is crucial in the rehabilitation after mastectomy and can be an effective treatment to achieve beneficial mental outcomes.
Connecting the domains: an investigation of internet domains found in Covid-19 conspiracy tweets
Authors: Moffitt J. D. , King Catherine , Carley Kathleen M. 
Published: September 2023

AbstractConspiracy theories (CTs) have thrived during the COVID-19 pandemic and continue to spread on social media despite attempts at fact-checking. The isolation and fear associated with this pandemic likely contributed to the generation and spread of these theories. Another possible factor is the high rate of Twitter users linking to off-platform alternative news sources through URL sharing (Moffitt et al. 2021). In this paper, we compare URLs and their parent domains linked in CT and non-CT tweets. First, we searched the parent domains of URLs shared in conspiracy theory and non-conspiracy theory classified tweets for the presence of Google tracking codes. We then constructed meta-networks linking domains, tracking codes, and Twitter users to find connections between domains and evidence of an eco-system that may have contributed to the cultivation and spread of conspiracy theories during the pandemic.
Hate Crime Investigation and Sentencing in Sweden: What Have We Learned in the Past 20 Years?
Authors: Hagerlid Mika , Granström Görel 
Published: September 2023

AbstractTwenty years ago, the Swedish National Council for Crime Prevention presented a report that highlighted serious problems with regard to identifying, investigating, and sentencing offenders for hate crimes. The same problems have also been described in international research from several other countries. Since then, several measures have been taken to remedy these problems, but it remains unknown whether these measures have been successful. The aim of the present study is therefore to trace developments over time, using Sweden as a case study, and to evaluate the extent to which the problems identified earlier have been remedied. The results show that the problems identified by the Swedish National Council for Crime Prevention still remain despite a continuous process of reform. Theoretical links and parallels to international research are discussed throughout the article.
Bringing girls and women into STEM?: Girls’ technological activities and conceptions when participating in an all-girl technology camp
Authors: Sultan Ulrika , Axell Cecilia , Hallström Jonas 
Published: September 2023

AbstractBringing more girls and women into science, technology, engineering and mathematics, STEM, is often highlighted as an aim in education and industry. A constantly growing body of research on engagement is driven by equity concerns caused by the unbalanced gender distribution in STEM. In this study, Swedish teenage girls on a three-day technology camp are in focus. The camp was an initiative with three goals: “Get girls interested, keep girls interested and provide knowledge about futures within technology professions”. We explored the participating girls’ technological activities and conceptions of technology at the camp. Data collection was conducted through participant observations and a focus group interview. Data were analysed using thematic analysis and a gender theoretical framework. Results show the camp presented uncertain notions of what technology can be, and traditionally male-oriented domains were “girlified”. However, girlified activities might not have been constructive in this context since the girls expressed interest in technology before the camp and showed few signs of gendering technology – they liked all kinds of technology. Girlified technology can, at its worst, give a false image of the future industrial work life that the camp organiser aimed to inspire. Despite this, the camp activities were still meaningful and relevant to the girls. The camp created opportunities for the girls to develop their sense of being technical and a feeling of belonging. Implications for technology classroom settings and future camps are to value practical work and improvisational design without leaving the teaching unreflected. This could be a way of engaging and familiarising girls with the multifaceted world of technology without girlifying it. In addition, a broad conception of technology could make gender codes less relevant and open new opportunities.
A European equivalence scale for public in-kind transfers
Authors: Aaberge Rolf , Langørgen Audun , Lindgren Petter Y. 
Published: September 2023

AbstractThis paper introduces a theory-based equivalence scale for public in-kind transfers, which justifies comparison of distributions of extended income (cash income plus the value of public services) between European countries. We demonstrate the usefulness of the proposed equivalence scale in an empirical analysis of the effects of public health care, long-term care, education and childcare expenditure on estimates of income inequality and poverty for 24 European countries. The empirical results show significant effects of public in-kind transfers on the level of income inequality and poverty for all countries. Over the period 2006–2018, inequality and poverty estimates display rather different trends across European countries.
Zn-Salphen Acrylic Films Powered by Aggregation-Induced Enhanced Emission for Sensing Applications
Authors: Enríquez-Palacios Ernesto , Robledo-Patiño Ana Victoria , Zelada-Guillén Gustavo A. 
Published: September 2023

AbstractZn(II) complexes possess attractive characteristics for supramolecular chemistry, catalysis, and optoelectronic applications, while Zn-Salphen counterparts are also suitable as chemical sensors, although limited by solution-based to date. In this study, we report the synthesis of new polymers from methyl methacrylate, n-butyl acrylate, and a non-symmetrical Zn-Salphen complex. We show that this low-fluorescent complex exhibits aggregation-induced emission enhancement (AIEE) properties and that, the incorporation of AIEE complexes into a polymeric matrix make it possible to achieve fluorescent films with enhanced fluorescence suitable for sensing applications. As a proof of concept, these films could detect acetic acid, showing a decrease of up to 73% in the original fluorescence. Host/guest studies showed a subtle disruption of the emission in aggregates upon treatment with anion guests. These results indicate that an interaction between the guest and Zn-Salphen complex may occur, stabilizing or destabilizing the complex and causing a concomitant increase or decrease in emission.
Composite and Pristine Silver Bismuth Sulphide: Synthesis and Up-to-Date Applications
Authors: Ajiboye Timothy O. , Mafolasire Abolaji A. , Lawrence Sawunyama , Tyhali Nandipha , Mhlanga Sabelo D. 
Published: September 2023

AbstractSilver bismuth sulphide is a ternary material that has attracted attention due to its good properties and several applications. Here, the detailed methods of synthesizing silver bismuth sulphide including successive ionic layer and reaction, Bridgman, microwave, mechanical milling, pyrolysis, deposition, sol–gel and chemical methods are discussed. To understand the properties of the silver bismuth sulphide, characterization tools are required, some of these tools are highlighted. Its photocatalytic, sensing, photovoltaic, photothermal, hydrogen generation, usage in the treatment of cancer and other medical applications are also comprehensively reviewed. Lastly, future perspectives on the synthesis and applications of silver bismuth sulphide are suggested.
Deep Learning Based Hybrid Intrusion Detection Systems to Protect Satellite Networks
Authors: Azar Ahmad Taher , Shehab Esraa , Mattar Ahmed M. , Hameed Ibrahim A. , Elsaid Shaimaa Ahmed 
Published: September 2023

AbstractDespite the fact that satellite-terrestrial systems have advantages such as high throughput, low latency, and low energy consumption, as well as low exposure to physical threats and natural disasters and cost-effective global coverage, their integration exposes both of them to particular security challenges that can arise due to the migration of security challenges from one to another. Intrusion Detection Systems (IDS) can also be used to provide a high level of protection for modern network environments such as satellite-terrestrial integrated networks (STINs). To optimize the detection performance of malicious activities in network traffic, four hybrid intrusion detection systems for satellite-terrestrial communication systems (SAT-IDSs) are proposed in this paper. All the proposed systems exploit the sequential forward feature selection (SFS) method based on random forest (RF) to select important features from the dataset that increase relevance and reduce complexity and then combine them with a machine learning (ML) or deep learning (DL) model; Random Forest (RF), Long Short-Term memory (LSTM), Artificial Neural Networks (ANN), and Gated Recurrent Unit (GRU). Two datasets—STIN, which simulates satellite networks, and UNSW-NB15, which simulates terrestrial networks—were used to evaluate the performance of the proposed SAT-IDSs. The experimental results indicate that selecting significant and crucial features produced by RF-SFS vastly improves detection accuracy and computational efficiency. In the first dataset (STIN), the proposed hybrid ML system SFS-RF achieved an accuracy of 90.5% after using 10 selected features, compared to 85.41% when using the whole dataset. Furthermore, the RF-SFS-GRU model achieved the highest performance of the three proposed hybrid DL-based SAT-IDS with an accuracy of 87% after using 10 selected features, compared to 79% when using the entire dataset. In the second dataset (UNSW-NB15), the proposed hybrid ML system SFS-RF achieved an accuracy of 78.52% after using 10 selected features, compared to 75.4% when using the whole dataset. The model with the highest accuracy of the three proposed hybrid DL-based SAT-IDS was the RF-SFS-GRU model. It achieved an accuracy of 79% after using 10 selected features, compared to 74% when using the whole dataset.
Loneliness, Spirituality, and Health-Related Quality of Life in Hispanic English-Speaking Cancer Caregivers: A Qualitative Approach
Authors: King Jennifer J. , Badger Terry A. , Segrin Chris , Thomson Cynthia A. 
Published: September 2023

AbstractHispanic caregivers experiencing higher caregiving burden than their non-Hispanic cohorts, due in part to contextual factors, such as barriers to accessing health care, challenging employment environments, low education and income, immigration issues, and minority stress. Spirituality may serve as a coping strategy for Hispanic caregivers that influences health-related quality of life (HRQoL), possibly by modifying loneliness associated with caregiving. We explored these concepts using semi-structured interviews (N = 10 Hispanic caregivers). Participants shared perceptions of loneliness, spirituality, and how these factors related to HRQoL. Five themes emerged: caregiver experience, coping strategies, loneliness, religion and spirituality to gain strength. Findings suggested that spirituality and religion improved HRQoL partially by reducing loneliness. Future programs to improve HRQoL in Hispanic English-speaking cancer caregivers should address spirituality.