bluuebunny/crossref_metadata_2025_split huggingface dataset:
Floral richness and seasonality influences bee and non-bee flower interactions in urban community gardens
Authors: Schmack Julia Marion , Egerer Monika 
Published: May 2023

AbstractPollinating insects are essential for food production. Both bee and non-bee pollinators are undergoing dramatic declines due to land use intensification and its consequences on native ecosystems. While interactions between crops and bee pollinators are well studied, our understanding of the pollination service provided by non-bee flower visitors including flies, ants, beetles and others is still limited. Moreover, the effects of landscape urbanization and changes in floral and nesting resource availability on the network structure of pollinators with both cultivated and wild plants have been poorly studied. We assessed which common bee and non-bee flower visitor groups dominate the interactions with both wild (e.g. Trifolium pratense, Taraxacum officinales) and cultivated plants (e.g. Fragaria ananassa, Cucurbita pepo) in urban community gardens in Berlin and Munich and explored how these interactions between flower visitor groups and plants change over the growing season. We further investigated the effect of changes in urbanization surrounding community gardens, and the availability of floral and nesting resources within gardens on the complexity (i.e. nestedness, linkage density, connectance) of interaction networks. We observed 20 focal plant species and 13 common bee and non-bee flower visitor groups in 30 urban community gardens. We found that dominant plant visitors changed over the growing season, with non-bee flower visitors including ants and flies as dominant early season visitors, and bee pollinators as important visitors later in the season. Nestedness of the flower visitor network increased with increases in floral richness in community gardens, while neither floral abundance nor the impervious surface surrounding the community gardens, garden size or the availability of nesting resources in gardens strongly influenced the flower visitor networks. Our findings suggest that high floral richness in community gardens may ensure the complexity and, thus, the stability of flower visitor networks. Findings further suggest that the role of non-bee flower visitors should be considered for pollination service provision especially in the shoulder seasons. Finally, our results emphasize that urban gardeners play a key role in mediating flower visitor interactions through their gardening practices.
Permanently updated 3D-model of actual geometries of research environments
Authors: Rauscher Fiete , Fuchs Mara , Ghanjaoui Yassin , Markusheska Nastasija , Biedermann Jörn , Meller Frank , Nagel Björn 
Published: May 2023

AbstractThis report describes the approach to create permanently updated 3D models of research aircraft and laboratory facilities. Therefore, optical metrology scans the research environment in its raw or as-delivered condition. The result is a virtual model of the actual geometry and, in comparison to reference data (e.g. CAD-data), the smallest inaccuracies can be identified and analyzed. The exact position of non-rigid components, like riser ducts, electronics or isolation, can be determined in the models. Further changes to the layout of these facilities are permanently digitized and added to the virtual model of the environment. This can be a new recording of the entire facility or of individual areas that are affected by the changes. The individual, newly recorded models are then integrated into the existing model. This creates an always up-to-date 3D model of the research environment, which is added to its digital twin and can be observed there. In combination with CAD data, future conversion and installation measures are planned in advance and analyzed virtually in relation to the up-to-date geometry and installation space data. In addition, the virtual models of the aircraft cabins can be used to support the lengthy approval and certification process at an early stage.
Dementia, infections and vaccines: 30 years of controversy
Authors: Ecarnot Fiona , Boccardi Virginia , Calcagno Andrea , Franceschi Claudio , Fülop Tamas , Itzhaki Ruth F. , Michel Jean-Pierre , Panza Francesco , Rainero Innocenzo , Solfrizzi Vincenzo , Ticinesi Andrea , Veronese Nicola , Maggi Stefania 
Published: May 2023

AbstractThis paper reports the proceedings of a virtual meeting convened by the European Interdisciplinary Council on Ageing (EICA), to discuss the involvement of infectious disorders in the pathogenesis of dementia and neurological disorders leading to dementia. We recap how our view of the infectious etiology of dementia has changed over the last 30 years in light of emerging evidence, and we present evidence in support of the implication of infection in dementia, notably Alzheimer’s disease (AD). The bacteria and viruses thought to be responsible for neuroinflammation and neurological damage are reviewed. We then review the genetic basis for neuroinflammation and dementia, highlighting the genes that are currently the focus of investigation as potential targets for therapy. Next, we describe the antimicrobial hypothesis of dementia, notably the intriguing possibility that amyloid beta may itself possess antimicrobial properties. We further describe the clinical relevance of the gut–brain axis in dementia, the mechanisms by which infection can move from the intestine to the brain, and recent findings regarding dysbiosis patterns in patients with AD. We review the involvement of specific pathogens in neurological disorders, i.e. SARS-CoV-2, human immunodeficiency virus (HIV), herpes simplex virus type 1 (HSV1), and influenza. Finally, we look at the role of vaccination to prevent dementia. In conclusion, there is a large body of evidence supporting the involvement of various infectious pathogens in the pathogenesis of dementia, but large-scale studies with long-term follow-up are needed to elucidate the role that infection may play, especially before subclinical or clinical disease is present.
Low frequency of AIP mutations in patients with young-onset sporadic pituitary macroadenomas
Authors: Gaspar L. M. , Gonçalves C. I. , Saraiva C. , Cortez L. , Amaral C. , Nobre E. , Lemos M. C. 
Published: May 2023

Abstract
Purpose
Mutations in the aryl hydrocarbon receptor interacting protein (AIP) gene cause familial isolated pituitary adenomas (FIPA). AIP mutations have also been found in patients with apparently sporadic pituitary adenomas, particularly in young patients with large adenomas. The aim of this study was to determine the frequency of AIP germline mutations in patients with young-onset sporadic pituitary macroadenomas.

Methods
The AIP gene was sequenced in 218 Portuguese patients with sporadic pituitary macroadenomas diagnosed before the age of 40 years.

Results
Heterozygous rare sequence variants in AIP were identified in 18 (8.3%) patients. However, only four (1.8%) patients had pathogenic or likely pathogenic variants. These consisted of two already known mutations (p.Arg81* and p.Leu115Trpfs*41) and two novel mutations (p.Glu246*, p.Ser53Thrfs*36). All four patients had GH-secreting adenomas diagnosed between the ages of 14 and 25 years. The frequency of AIP pathogenic or likely pathogenic variants in patients under the age of 30 and 18 years was 3.4% and 5.0%, respectively.

Conclusion
The frequency of AIP mutations in this cohort was lower than in other studies. Previous reports may have overestimated the contribution of AIP mutations due to the inclusion of genetic variants of uncertain significance. The identification of novel AIP mutations expands the known spectrum of genetic causes of pituitary adenomas and may help understand the role of AIP mutations in the molecular mechanisms underlying pituitary tumorigenesis.
Modular forms via invariant theory
Authors: Cléry Fabien , van der Geer Gerard 
Published: May 2023

AbstractWe discuss two simple but useful observations that allow the construction of modular forms from given ones using invariant theory. The first one deals with elliptic modular forms and their derivatives, and generalizes the Rankin-Cohen bracket, while the second one deals with vector-valued modular forms of genus greater than 1.
Cryptogamic communities on flatroofs in the city of Debrecen (East Hungary)
Authors: Aszalósné Balogh Rebeka , Matus Gábor , Lőkös László , Adorján Balázs , Freytag Csongor , Mészáros Ilona , Oláh Viktor , Szűcs Péter , Erzberger Peter , Farkas Edit 
Published: May 2023

AbstractCryptogams of ten urban flatroofs, contrasting in their age and size, were studied between 2016 and 2018. Siliceous (bituminous felt, gravel, brick) and calcareous (concrete) substrata occurred at each site. Microclimate (T, RH) at two sites of contrasting shading was monitored from September 2016 to January 2017. Biomass of two differently aged, exposed flatroofs was sampled in October 2018. Taxa of Cladonia and Xanthoparmelia have been identified by spot tests and HPTLC. A total of 61 taxa (25 bryophytes, 36 lichens), mostly widespread synanthropic species, have been detected with an explicit difference of species composition between shaded and exposed sites. Floristically interesting species included acidophilous bryophytes (Hedwigia ciliata, Racomitrium canescens) and lichens (Xanthoparmelia conspersa, Stereocaulon tomentosum) of montane character. The most widespread lichen is Cladonia rei which accounted for a significant part of the biomass at selected sites. Species-area curves for bryophytes at exposed sites have become saturated at 100–150 m2. In contrast, saturation of lichen diversity has not been reached even at the largest sites. Flatroofs with traditional roofing techniques can harbour relatively diverse microhabitats and species-rich synanthropic vegetation. It is urgent to study these sites before renovation with modern roofing techniques eliminates them. Diversification of urban surroundings is possible in the future via application of various substrats in renovated and newly constructed roofs.
Alcohol consumption in healthcare workers and risk of workplace injury: a case-control study
Authors: Borrelli Ivan , Gualano Maria Rosaria , Rossi Maria Francesca , Capitanelli Ilaria , Dolgetta Valentina , Santoro Paolo Emilio , Moscato Umberto 
Published: May 2023

AbstractMedical surveillance for alcohol abuse and dependency at work is mandatory for a list of high-risk occupations. The occupational physician is the only figure entitled to perform alcohol and laboratory tests on employees. This study aims to investigate alcohol-induced injuries in healthcare workers, by using Carbohydrate-Deficient Transferrin (CDT) as a marker during medical surveillance visits. A retrospective study was carried out in an Italian healthcare unit. The sample consisted in 75 healthcare workers who sustained an occupational injury. To assess alcohol consumption, CDT levels were tested as well as serum alanine transaminase (ALT), aspartate transaminase (AST), gamma-glutamyltransferase (GGT), mean corpuscular volume (MCV). No worker had positive CDT levels (cut-off 2%); 12% of cases (5 male and 4 female workers) had γ-GT level higher than normal range (cut-off: 36 U/L). Most injuries (53.33%) occurred during morning shifts, 33.33% during afternoon shifts and 13.33% during night shifts. Female workers had a higher injury rate (73%); biological injuries were the most frequent (36%), followed by slipping and falling 33%. This study seems to indicate that alcohol does not represent an important cause of occupational injuries, as no cases of workplace injury were found positive for CDT. CDT as a biomarker in health surveillance programs could be used to assess alcohol consumption when used alongside other biochemical parameters, and its routine use during medical surveillance could act as a deterrent.
Machine Learning Applied to COVID-19: A Review of the Initial Pandemic Period
Authors: Mano Leandro Y. , Torres Alesson M. , Morales Andres Giraldo , Cruz Carla Cristina P. , Cardoso Fabio H. , Alves Sarah Hannah , Faria Cristiane O. , Lanzillotti Regina , Cerceau Renato , da Costa Rosa Maria E. M. , Figueiredo Karla , Werneck Vera Maria B. 
Published: May 2023

AbstractDiagnostic and decision-making processes in the 2019 Coronavirus treatment have combined new standards using patient chest images, clinical and laboratory data. This work presents a systematic review aimed at studying the Artificial Intelligence (AI) approaches to the patients’ diagnosis or evolution with Coronavirus 2019. Five electronic databases were searched, from December 2019 to October 2020, considering the beginning of the pandemic when there was no vaccine influencing the exploration of Artificial Intelligence-based techniques. The first search collected 839 papers. Next, the abstracts were reviewed, and 138 remained after the inclusion/exclusion criteria was performed. After thorough reading and review by a second group of reviewers, 64 met the study objectives. These papers were carefully analyzed to identify the AI techniques used to interpret the images, clinical and laboratory data, considering a distribution regarding two variables: (i) diagnosis or outcome and (ii) the type of data: clinical, laboratory, or imaging (chest computed tomography, chest X-ray, or ultrasound). The data type most used was chest CT scans, followed by chest X-ray. The chest CT scan was the only data type that was used for diagnosis, outcome, or both. A few works combine Clinical and Laboratory data, and the most used laboratory tests were C-reactive protein. AI techniques have been increasingly explored in medical image annotation to overcome the need for specialized manual work. In this context, 25 machine learning (ML) techniques with a highest frequency of usage were identified, ranging from the most classic ones, such as Logistic Regression, to the most current ones, such as those that explore Deep Learning. Most imaging works explored convolutional neural networks (CNN), such as VGG and Resnet. Then transfer learning which stands out among the techniques related to deep learning has the second highest frequency of use. In general, classification tasks adopted two or three datasets. COVID-19 related data is present in all papers, while pneumonia is the most common non-COVID-19 class among them.
Adaptively Directed Image Restoration Using Resilient Backpropagation Neural Network
Authors: Nawaz Waqas , Siddiqi Muhammad Hameed , Almadhor Ahmad 
Published: May 2023

AbstractIn this modern era, visual data transmission, processing, and analysis play a vital role in daily life. Image denoising is the process of approximately estimating the original version of a degraded image. The presence of unexpected noise (e.g., fixed, random, and Gaussian) is the root cause of degradation, which has been reduced to some extent by many linear and non-linear filters based on a median value. The real issue is developing a strategy that should be generalized enough to effectively restore an image corrupted with multi-nature noise. Many researchers have developed novel concepts, but their tactics must acquire the highest performance in this area. This article proposes a constrained strategy for this problem, i.e., an adaptively directed denoising filter (ADD filter) based on a neural network. It consists of three major stages: training, filtering, and enhancing. First, we train a feed-forward back-propagation neural network on noisy and noise-free pixels for effective differentiation. Second, we apply a one-pass selective filter to the noisy image. The objective of this one-pass filter is to minimize noise using an adaptive median or directional filter based on density. Finally, the iterative directional filter is applied to the pre-processed image to enhance its visual quality. The extensive experiments depict that the proposed system has achieved better subjective results and improved local (structural similarity) and global (peak signal-to-noise ratio or mean square error) statistical measures.
Efficient Modeling and Estimation of Group Music and Dance Happiness via Intelligent Wearable Devices
Authors: Wang Qian 
Published: May 2023

AbstractSmart wearable items are becoming more well recognized and are steadily making their way into people’s lives as a result of the ongoing advancement of technology and people’s growing concern for their health. In this work, we investigate the stimulation of physiological signals and the level of happiness indicated by people’s emotions using the linkage of smart gadgets and biological data. To reduce motion artifacts from wearable PPGs, we first suggest a sparse representation-based approach. To address the issue of poor model generalization brought on by individual signal differences (inter- and intra-individual) in human ECG data, a wearable ECG individual signal difference reduction technique based on Balanced Distribution Domain Adaptive (BDA) is also suggested. In addition to making a significant contribution to the advancement of intelligent control technology, medicine, and other fields, it provides an effective baseline for research on the satisfaction level of group music and dancing based on physiological signals.
The “Airlift” Generation, Economic Aspiration, and Secondary School Education in Kenya, 1940-1960
Authors: Mutongi Kenda 
Published: May 2023

AbstractThis article argues that the “airlift” language often used to describe the eight hundred Kenyan students who attended US and Canadian universities between 1959 and 1963 is misleading. It assumes that the students were being plucked out of substandard education, yet these youth had received some of the most rigorous education in the world—even though it was colonial education intended to inculcate in them British cultures and mores. The students took this education seriously because they knew it would help improve their economic status as well as that of their families. These elite students were not necessarily concerned with the politics of decolonization or the nation-state, as most studies of colonial elites at the end of empire have tended to claim. They were interested in uplifting their economic status. This uplifting was in and of itself a political act—even though it was not politically motivated.
The first cultivation of the glacier ice alga Ancylonema alaskanum (Zygnematophyceae, Streptophyta): differences in morphology and photophysiology of field vs laboratory strain cells
Authors: Remias Daniel , Procházková Lenka 
Published: May 2023

AbstractMelting glacier surfaces are unique ecosystems for specialized microbes, frequently harbouring blooms of microalgae with pigments contributing to the darkening of ice surfaces, reducing albedo and enhancing melt rates. The main cause of this phenomenon is algae of the genus Ancylonema. Prior investigation depended on field-collected material because these algae resisted cultivation. To enhance research on how these algae dominate melting ice, we established a strain of Ancylonema alaskanum from an alpine glacier and exposed to temperatures around the freezing point at irradiations of ~10% of full sunlight. The morphology of the culture changed, with the cells becoming longer and turning green by losing their brownish pigmentation, indicating that these dark phenols are crucial for survival in the cryosphere. Photophysiological comparisons of strain and glacial material showed adaptation of the photosynthetic apparatus to prevailing conditions. This laboratorial strain opens possibilities for a wide range of comparative ‘omics’ research.
The first documentation of an Ordovician eurypterid (Chelicerata) from China
Authors: Wang Han , Braddy Simon J. , Botting Joseph , Zhang Yuandong 
Published: May 2023

AbstractAn early form of eurypterids (Chelicerata),Archopterus anjiensisn. gen. n. sp., is described from the uppermost Ordovician Wenchang Formation of Anji County, Zhejiang Province, South China. It is the earliest record of eurypterids in China and likely the oldest representative of the Adelophthalmidae. The species, represented by a single specimen, is diagnosed by a ventrally preserved prosoma with a parabolic carapace,Hughmilleria-type prosomal appendages, a short vase-shaped metastoma, and a three-segmented type A (female) genital appendage. The specimen is preserved, together with diverse sponges, graptolites and occasional nautiloids, in a 10 m thick shale of marine deep-water setting. This finding extends the stratigraphic range of adelophthalmids from the previously recorded early Silurian into the Late Ordovician (some 10 million years older) and supports an earlier cryptic phase of eurypterid evolution in Gondwana.UUID:http://zoobank.org/a2d090e5-1a15-40b6-8e2a-dda45b01e94d
A Port by Any Other Name: A Preliminary Spatial Analysis of Ancient Infrastructural Landscapes and Settlement Organization at Macurany, Brazil
Authors: Ellis M. Grace , Browne Ribeiro Anna T. , Carvalho Michel , Fisher Christopher T. 
Published: May 2023

AbstractComplex human–environmental processes form identifiable, lasting features on the landscape that can illuminate past human behavior and human–environment interactions. We examine the anthropogenic landscape of the ancient port of Macurany, located along the middle Amazon River in Parintins, Brazil, and identify four classes of anthropogenic landscape features at the site: wharfs, middens, terra preta (dark or black earths), and cultural forests. Middens, terra preta, and cultural forests have been found at archaeological sites in regions surrounding Macurany, but wharfs have not previously been reported in Amazonian contexts predating European contact. Taken together, these features are clearly the result of anthropogenesis and represent a range of subsistence, settlement, and infrastructure-building activities pointing to an ancient society that was actively engaged in modifying the surrounding landscape for purposes beyond settlement and subsistence. Evidence for a permanent, extensive, continuously settled society practicing intensive landscape engineering in this region of Amazonia reinforces findings of dense habitation, infrastructure, and early urbanization in Amazonia prior to European contact. This research helps expand our understanding of human–environment interactions, landscape formation processes, and settlement organization in ancient Amazonia.
TheInspector-General of the Australian Defence Force Afghanistan Inquiry Reportand the applicability of Additional Protocol II to intervening foreign forces
Authors: McDougall Carrie 
Published: May 2023

AbstractThis article critiques the articulation of the legal framework applicable to Australian Defence Force operations in Afghanistan found in theInspector-General of the Australian Defence Force Afghanistan Inquiry Report(Brereton Report). In particular, using the Australian experience in Afghanistan as a case study, the article argues, on the basis of the rules of treaty interpretation, that where a foreign State party to Additional Protocol II (AP II) intervenes in a non-international armed conflict (NIAC) to which AP II applies, that foreign State is bound by AP II, in addition to the host State and non-State armed actors that are parties to the NIAC. The article concludes by outlining the reasons why the Brereton Report's silence in relation to AP II matters.