bluuebunny/crossref_metadata_2025_split huggingface dataset:
Preliminary estimation of fouling organisms associated with the pearl oyster Pinctada radiata in the natural habitat of the Egyptian Mediterranean Sea
Authors: ABDELSALAM KHALED M. , ELEBIARY NOHA H. 
Published: July 2023

In the summer of 2021, marine fouling organisms associated with the pearl oyster Pinctada radiata in the natural habitat of Miyami area, Alexandria city, were surveyed, where samples were collected by scuba diving. Eighteen shells of variable sizes were collected to investigate the fouling community’s biodiversity that settled on each shell. A total of 1674 organisms representing 106 fouling taxa were identified, weighing a cumulative wet weight of 147.98 g. The community composition consists of 52 taxa of Polychaeta, 19 species of Arthropods, 18 species of Mollusks, 5 species of Bryozoans, 4 species of Chordata, 2 species of Rhodophytes, Anthozoans, and Echinoderms, and one species for Sponge, and Platyhelminth. Species diversity, abundance, and total wet weight were variable among the eighteen studied shells, with higher recorded values on larger shells. The two barnacles (Balanus trigonus and Perforatus perforatus) were the most dominant species, followed by the Syllidae polychaete Haplosyllis spongicola, then the alien mytilid bivalve Brachidontes pharaonis, and the Dorvilleidae alien polychaete (Dorvillea similis). A comparison with other similar studies in the Mediterranean Sea was conducted. Before performing manipulative studies on how biofouling communities might affect aquaculture productivity, it is first necessary to ascertain the composition of these organisms within the desired aquaculture locations.
Exiled lives on the stage: Support networks and programs for artists at risk from Turkey in Germany
Authors: Verstraete Pieter 
Published: July 2023

This article analyses the support and self-care strategies of artists from Turkey who have left their country from considerable risk regarding their country’s political and economic instability since 2013 and have relocated to Germany. It maps the support networks, programs and institutions as well as consider questions of sustainability and risk (self-) assessment. The study is based on interviews with Turkish and Kurdish artists in Germany and an analysis of the activities by the Maxim Gorki Theater, Apartment Projekt, bi’bak, Hafiza Merkezi Berlin, as well as support systems like artistic research fellowships, art residencies, artist networks and supportive theatres. The guiding questions of this study examine the longer-term orientation of the support of artists at risk. The findings show three deficiencies. Despite the variety of available support systems, artists who left Turkey experience difficulties integrating in the artistic labour market. The output-oriented, meritocratic basis on which programs select candidates often fail to help artists in a holistic way. The intergenerational disparity in the migrant communities create the infrastructures, solidarity discourses and networks for newly arriving artists, but also creates ideological tensions which limits inter-communitarian solidarity. Specific self-organized programs extend the solidarity to artists from other affected regions, which limits chances to support artists at risk from Turkey. There are generational disadvantages of newcomers in an overburdened, professionalized independent art scene that has struggled to break free from the social work and socio-cultural stigmas. The latter masks artists with a non-German background from positive discrimination initiatives. The study proposes improvement in support systems through a coordinated effort, encourages to relieve programs from a need for identity representation as an expectation or requirement, and advises a shift in support systems from output orientation towards enhancement of individuals through self-care, for greater autonomy and self-development in their art practices and new life.
Microwave photonic dispersion immune self-interference cancellation scheme for a radio over fiber based in-band full duplex communication link
Authors: Li He , Zhu Zihang , Gao Congrui , Wang Guodong , Zhou Tao , Li Xuan , Meng Qingqing , Zhou Yixiao , Zhao Shanghong 
Published: July 2023

A microwave photonic scheme for multi-functional radio over fiber based in-band full duplex communication links to realize deep self-interference cancellation, long range transmission, and efficient signal recovery is proposed. In the proposed scheme, double sideband modulation helps avoid applying electrical couplers or optical filters and is beneficial to improve the frequency conversion efficiency. By virtue of the intermediate frequency signal amplitude regulation mechanism induced by fiber dispersion, the conditions of dispersion induced power fading compensation, amplitude matching, and phase reversion between self-interference and reference signals can be satisfied through joint DC bias tuning. The high precision delay matching in the optical domain is advantageous to the deep self-interference cancellation performance in a wide frequency range compared to its electrical counterparts. Furthermore, the deterioration of signal quality and self-interference cancellation performance caused by fiber dispersion is avoided. Experimental analyses show that a single tone signal in a wide frequency range of 2–20 GHz can be cancelled over 60 dB. A broadband signal with bandwidth of 50 MHz in the C-band, X-band, and K-band can be cancelled over 35 dB. Furthermore, the recovery performance of the signal of interest with different modulation formats and different signal to interference ratios is investigated, showing high quality signal transmission and efficient signal recovery. The capability of dispersion induced power fading compensation is also verified, and the spurious-free dynamic range is measured to be 88.47dB⋅Hz2/3.
Whole genome sequencing and phylogenetic characterisation of rabies virus strains from Moldova and north-eastern Romania
Authors: Dascalu Mihaela Anca , Picard-Meyer Evelyne , Robardet Emmanuelle , Servat Alexandre , Arseniev Serghei , Groza Oxana , Starciuc Nicolae , Vuta Vlad , Barbuceanu Florica , Tanase Oana Irina , Daraban Bocaneti Florentina , Quenault Helene , Hirchaud Edouard , Blanchard Yannick , Velescu Elena , Cliquet Florence 
Published: July 2023

Background
Rabies is the oldest fatal zoonotic disease recognised as a neglected tropical disease and is caused by an RNA virus belonging to the genus Lyssavirus, family Rhabdoviridae.

Methodology/Principal findings
A deep molecular analysis was conducted on full-length nucleoprotein (N) gene and whole genome sequences of rabies virus from 37 animal brain samples collected between 2012 and 2017 to study the circulation of rabies virus (RABV) variants. The overall aim was to better understand their distribution in Moldova and north-eastern Romania. Both Sanger and high throughput sequencing on Ion Torrent and Illumina platforms were performed. Phylogenetic analysis of the RABV sequences from both Moldova and Romania revealed that all the samples (irrespective of the year of isolation and the species) belonged to a single phylogenetic group: north-eastern Europe (NEE), clustering into three assigned lineages: RO#5, RO#6 and RO#7.

Conclusions/Significance
High throughput sequencing of RABV samples from domestic and wild animals was performed for the first time for both countries, providing new insights into virus evolution and epidemiology in this less studied region, expanding our understanding of the disease.
Verbal autopsy analysis of childhood deaths in rural Gambia
Authors: Wutor Baleng Mahama , Osei Isaac , Babila Galega Lobga , Ezeani Esu , Adefila Williams , Hossain Ilias , Sarwar Golam , Mackenzie Grant 
Published: July 2023

Background
In low-resource settings, it is challenging to ascertain the burden and causes of under-5 mortality as many deaths occur outside health facilities. We aimed to determine the causes of childhood deaths in rural Gambia using verbal autopsies (VA).

Methodology
We used WHO VA questionnaires to conduct VAs for deaths under-5 years of age in the Basse and Fuladu West Health and Demographic Surveillance Systems (HDSS) in rural Gambia between September 01, 2019, and December 31, 2021. Using a standardized cause of death list, two physicians assigned causes of death and discordant diagnoses were resolved by consensus.

Results
VAs were conducted for 89% (647/727) of deaths. Of these deaths, 49.5% (n = 319) occurred at home, 50.1% (n = 324) in females, and 32.3% (n = 209) in neonates. Acute respiratory infection including pneumonia (ARIP) (33.7%, n = 137) and diarrhoeal diseases (23.3%, n = 95) were the commonest primary causes of death in the post-neonatal period. In the neonatal period, unspecified perinatal causes of death (34.0%, n = 71) and deaths due to birth asphyxia (27.3%, n = 57) were the commonest causes of death. Severe malnutrition (28.6%, n = 185) was the commonest underlying cause of death. In the neonatal period, deaths due to birth asphyxia (p-value<0.001) and severe anaemia (p-value = 0.03) were more likely to occur at hospitals while unspecified perinatal deaths (p-value = 0.01) were more likely to occur at home. In the post-neonatal period, deaths due to ARIP (p-value = 0.04) and diarrhoeal disease (p-value = 0.001) were more likely to occur among children aged 1–11 months and 12–23 months respectively.

Conclusion
According to VA analysis of deaths identified within two HDSS in rural Gambia, half of deaths amongst children under-5 in rural Gambia occur at home. ARIP and diarrhoea, and the underlying cause of severe malnutrition remain the predominant causes of child mortality. Improved health care and health-seeking behaviour may reduce childhood deaths in rural Gambia.
Efficacy and safety of non-pharmacological therapy under the guidance of TCM theory in the treatment of anxiety in patients with myocardial infarction: A protocol for systematic review and meta-analysis
Authors: Zhao Weizhe , Wang Yue , Hou Jiqiu , Ding Wanli , Suo Wendong , Liu Zhu , Zhou Yutong , Zhao Haibin 
Published: July 2023

Background
With the increasing pressures of modern life and work, combined with a growing older population, the incidence of comorbid anxiety and myocardial infarction (MI) is increasing. Anxiety increases the risk of adverse cardiovascular events in patients with MI and significantly affects their quality of life. However, there is an ongoing controversy regarding the pharmacological treatment of anxiety in patients with MI. The concomitant use of commonly prescribed selective serotonin reuptake inhibitors (SSRIs) and antiplatelet medications such as aspirin and clopidogrel may increase the risk of bleeding. Conventional exercise-based rehabilitation therapies have shown limited success in alleviating anxiety symptoms. Fortunately, non-pharmacological therapies based on traditional Chinese medicine (TCM) theory, such as acupuncture, massage, and qigong, have demonstrated promising efficacy in treating MI and comorbid anxiety. These therapies have been widely used in community and tertiary hospital settings in China to provide new treatment options for patients with anxiety and MI. However, current studies on non-pharmacological TCM-based therapies have predominantly featured small sample sizes. This study aims to comprehensively analyze and explore the effectiveness and safety of these therapies in treating anxiety in patients with MI.

Method
We will systematically search six English and four Chinese databases by employing a pre-defined search strategy and adhering to the unique rules and regulations of each database to identify studies that fulfilled our inclusion criteria, to qualify for inclusion, patients must be diagnosed with both MI and anxiety, and they must have undergone non-pharmacological TCM therapies, such as acupuncture, massage, or qigong, whereas the control group received standard treatments. The primary outcome measure will be alterations in anxiety scores, as assessed using anxiety scales, with secondary outcomes encompassing the evaluations of cardiopulmonary function and quality of life. We will utilize RevMan 5.3 to conduct a meta-analysis of the collected data, and subgroup analyses will be executed based on distinct types of non-pharmacological TCM therapies and outcome measures

Results
A narrative summary and quantitative analysis of the existing evidence on the treatment of anxiety patients with MI using non-pharmacological therapies guided by Traditional Chinese Medicine theory.

Conclusion
This systematic review will investigate whether non-pharmacological interventions guided by TCM theory are effective and safe for anxiety in patients with MI, and provide evidence-based support for their clinical application.

Systematic review registration
PROSPERO CRD42022378391
The KDM6A-KMT2D-p300 axis regulates susceptibility to diverse coronaviruses by mediating viral receptor expression
Authors: Wei Jin , Alfajaro Mia Madel , Cai Wesley L. , Graziano Vincent R. , Strine Madison S. , Filler Renata B. , Biering Scott B. , Sarnik Sylvia A. , Patel Sonam , Menasche Bridget L. , Compton Susan R. , Konermann Silvana , Hsu Patrick D. , Orchard Robert C. , Yan Qin , Wilen Craig B. 
Published: July 2023

Identification of host determinants of coronavirus infection informs mechanisms of pathogenesis and may provide novel therapeutic targets. Here, we demonstrate that the histone demethylase KDM6A promotes infection of diverse coronaviruses, including SARS-CoV, SARS-CoV-2, MERS-CoV and mouse hepatitis virus (MHV) in a demethylase activity-independent manner. Mechanistic studies reveal that KDM6A promotes viral entry by regulating expression of multiple coronavirus receptors, including ACE2, DPP4 and Ceacam1. Importantly, the TPR domain of KDM6A is required for recruitment of the histone methyltransferase KMT2D and histone deacetylase p300. Together this KDM6A-KMT2D-p300 complex localizes to the proximal and distal enhancers of ACE2 and regulates receptor expression. Notably, small molecule inhibition of p300 catalytic activity abrogates ACE2 and DPP4 expression and confers resistance to all major SARS-CoV-2 variants and MERS-CoV in primary human airway and intestinal epithelial cells. These data highlight the role for KDM6A-KMT2D-p300 complex activities in conferring diverse coronaviruses susceptibility and reveal a potential pan-coronavirus therapeutic target to combat current and emerging coronaviruses.
One Sentence Summary: The KDM6A/KMT2D/EP300 axis promotes expression of multiple viral receptors and represents a potential drug target for diverse coronaviruses.
Baumärkte und Gartencenter in der Region München
Authors: Bleyer Burkhard 
Published: July 2023

Vor einem neuen Boom der Baumärkte und Gartencenter stehen die Kommunen in der Region München. Hohe Grundstückspreise, knappes Angebot und kommunalpolitische Willensbildungen hatten ihre Weiterentwicklung lange Zeit stärker eingeschränkt.Das zugängliche Datenmaterial ist insbesondere bezüglich Umsatz und Planungsabsichten wenig ergiebig. Ausreichend verläßliche Informationsquellen mußten aufgespürt werden, um einen Sektor des Einzelhandels auf einem regional bedeutsamen Markt transparent zu machen, der von sich eher bedeckt haltenden Entscheidungsträgern beherrscht wird.Die bestehenden 34 Fachmärkte mit insgesamt rd. 115 000 m2 Verkaufsfläche sollen an neun Standorten um ca. 36 000 m2 vermehrt werden. Dieses Wachstum stellt nicht nur eine Herausforderung an den kleinteiligen Fachhandel, sondern auch an den Großhandel und an kleine Baumärkte dar. Die Dynamik in diesem Bereich zeigt sich auch in der Verringerung der Vertriebsschienen, in Konzentrationsbewegungen bei den Eigentümerverhältnissen und in der Sortimentsausweitung.Die Entwicklungsmuster dieser großflächigen Einzelhandelsformen werden auf siedlungsstrukturelle Zusammenhänge hinterfragt. Fast alle Einzelhandelsgroßprojekte durchlaufen zweistufige Planungsverfahren. Welche Ansprüche stellen Landes‑, Regional- und Bauleitplanung an diese Projekte im Rahmen von Raumordnungsverfahren und Bebauungsplänen?Es wird dargelegt, welche Hilfestllung die Landes- und Regionalplanung bei diesen Prozessen mit raumbedeutsamen Auswirkungen auf die Versorgungslandschaften und das zentralörtliche System geben (können).
Auswirkungen der Zuwanderungen nach Bayern auf die Bevölkerungsstruktur, den Arbeits- und den Wohnungsmarkt, die Infrastruktur und den Flächenverbrauch
Authors: Koll Robert , Vogler-Ludwig Kurt 
Published: July 2023

Mit der Einwanderung werden sich die Entwicklungstrends für die Bevölkerung Bayerns grundlegend ändern. Ohne Zuwanderung steht die Sozialversicherung, insbesondere die Rentenversicherung, vor einem Finanzierungsproblem, dessen Lösung in Leistungseinschränkungen, längeren Beschäftigungszeiten oder höheren Beitragssätzen zu suchen wäre.Auf dem Arbeitsmarkt wird das Angebot an Arbeitskräften (Erwerbspersonen) mit der Zuwanderung bis zum Jahre 2010 je nach Szenario um 16 bis 25 % zunehmen. Gesamtwirtschaftlich betrachtet gehen in der langen Frist von der Zuwanderung markterweiternde Effekte aus, die zu stärkerem Wachstum des Bruttoinlandsprodukts und höherer Beschäftigungsdynamik führen können. Auf die kürzere Frist ergeben sich hingegen Belastungen, die sich insbesondere in einer spürbaren Zunahme der Arbeitslosigkeit und einem Anstieg des Staatsdefizits zeigen.Geht man vom gegebenen Versorgungsgrad mit Wohnungen aus, dann stellen sich vor allem für die Regionen mit Verdichtungsräumen und insbesondere die Region München erhebliche Versorgungsprobleme.Unter den Infrastruktureinrichtungen ist der Kindergarten‑, Volksschul- und Krankenhausbereich besonders durch die Zuwanderungen betroffen. Im Kindergartenbereich ist auf bayerischer Ebene die Überlast bis zum Jahre 2010 in jedem Szenario wieder verschwunden. Im Volksschulbereich treten anders als bei den Kindergärten unter den getroffenen Annahmen auf jeder Betrachtungsebene deutliche Überlastphänomene auf; sie sind stärker bei den Hauptschulen als bei den Grundschulen, in den Regionen mit großen Verdichtungsräumen, insbesondere München, gravierender als für ganz Bayern und insbesondere das „übrige Bayern“. Der Mehrbedarf an Krankenhausbetten lehnt sich eng an die Entwicklung der Wohnbevölkerung an und steigt daher – je nach Zuwanderungsszenario – bis zum Jahr 2010 an.Bezogen auf die im Jahre 1989 vorhandene Freifläche, liegt der maximale zusätzliche Flächenverbrauch in Bayern unter 0,8 %, in den Regionen mit großen Verdichtungsräumen und in der Region München bei 2 bzw. 3,6 %. Bezogen auf die für 1989 ausgewiesene Verkehrs- und Siedlungsfläche sind die zuwanderungsbedingten Raten des Flächenverbrauchs ganz erheblich, bei sehr hohen Zuwanderungen betragen sie in der Region München rd. 25 %.
Evaluation of effects of small-incision approach treatment on proximal tibia fracture by deep learning algorithm-based magnetic resonance imaging
Authors: Li Xisheng , Yu Huiling , Li Fang , He Yaping , Xu Liming , Xiao Jie 
Published: July 2023

Abstract
In this study, magnetic resonance imaging (MRI) based on a deep learning algorithm was used to evaluate the clinical effect of the small-incision approach in treating proximal tibial fractures. Super-resolution reconstruction (SRR) algorithm was used to reconstruct MRI images for analysis and comparison. The research objects were 40 patients with proximal tibial fractures. According to the random number method, patients were divided into a small-incision approach group (22 cases) and an ordinary approach group (18 cases). The peak signal-to-noise ratio (PSNR) and the structural similarity index (SSIM) of the MRI images before and after the reconstruction of the two groups were analyzed. The operative time, intraoperative blood loss, complete weight-bearing time, complete healing time, knee range of motion, and knee function of the two treatments were compared. The results showed that after SRR, the PSNR and SSIM of MRI images were 35.28 and 0.826 dB, respectively, so the MRI image display effect was better. The operation time in the small-incision approach group was 84.93 min, which was significantly shorter than that in the common approach group, and the intraoperative blood loss was 219.95 mL, which was significantly shorter than that in the common approach group (P < 0.05). The complete weight-bearing time and complete healing time in the small-incision approach group were 14.75 and 16.79 weeks, respectively, which were significantly shorter than those in the ordinary approach group (P < 0.05). The half-year knee range of motion and 1-year knee range of motion in the small-incision approach group were 118.27° and 128.72°, respectively, which were significantly higher than those in the conventional approach group (P < 0.05). After 6 months of treatment, the rate of good treatment was 86.36% in the small-incision approach group and 77.78% in the ordinary approach group. After 1 year of treatment, the rate of excellent and good treatment was 90.91% in the small-incision approach group and 83.33% in the ordinary approach group. The rate of good treatment for half a year and 1 year in the small incision group was significantly higher than that in the common approach group (P < 0.05). In conclusion, MRI image based on deep learning algorithm has a high resolution, good display effect, and high application value. The small-incision approach can be applied to the treatment of proximal tibial fractures, which showed good therapeutic effects and a high positive clinical application value.
Identification of winter wheat pests and diseases based on improved convolutional neural network
Authors: Yao Jianbin , Liu Jianhua , Zhang Yingna , Wang Hansheng 
Published: July 2023

Abstract
Wheat pests and diseases are one of the main factors affecting wheat yield. According to the characteristics of four common pests and diseases, an identification method based on improved convolution neural network is proposed. VGGNet16 is selected as the basic network model, but the problem of small dataset size is common in specific fields such as smart agriculture, which limits the research and application of artificial intelligence methods based on deep learning technology in the field. Data expansion and transfer learning technology are introduced to improve the training mode, and then attention mechanism is introduced for further improvement. The experimental results show that the transfer learning scheme of fine-tuning source model is better than that of freezing source model, and the VGGNet16 based on fine-tuning all layers has the best recognition effect, with an accuracy of 96.02%. The CBAM-VGGNet16 and NLCBAM-VGGNet16 models are designed and implemented. The experimental results show that the recognition accuracy of the test set of CBAM-VGGNet16 and NLCBAM-VGGNet16 is higher than that of VGGNet16. The recognition accuracy of CBAM-VGGNet16 and NLCBAM-VGGNet16 is 96.60 and 97.57%, respectively, achieving high precision recognition of common pests and diseases of winter wheat.