bluuebunny/crossref_metadata_2025_split huggingface dataset:
First imported case of Candida auris infection in Milan, Italy: genomic characterisation
Authors: Rimoldi Sara Giordana , Nodari Riccardo , Rizzo Alberto , Tamoni Alessandro , Longobardi Concetta , Pagani Cristina , Grosso Silvia , Salari Federica , Galimberti Laura , Olivieri Pietro , Rizzardini Giuliano , Catena Emanuele , Antinori Spinello , Comandatore Francesco , Castelli Antonio , Gismondo Maria Rita 
Published: April 2024

Abstract
Purpose
Candida auris, an emerging multidrug-resistant yeast, has been reported worldwide. In Italy, the first case was reported in 2019. We describe the first case of C. auris, imported from Greece, in Milan, using whole genome sequencing to characterise mutations associated with antifungal resistance.

Case presentation
On October 2022 an 80-year-old Italian man was hospitalised in Greece. In the absence of clinical improvement, the patient was transferred to our hospital, in Italy, where blood culture resulted positive for C. auris. Despite therapy, the patient died of septic shock. In a phylogenetic analysis the genome was assigned to Clade I with strains from Kenya, United Arab Emirates and India. D1/D2 region resulted identical to a Greek strain, as for many other strains from different World regions, highlighting the diffusion of this strain.

Conclusion
Importation of C. auris from abroad has been previously described. We report the first case of C. auris imported into Italy from Greece, according to phylogenetic analysis. This case reinforces the need for monitoring critically ill hospitalised patients also for fungi and addresses the need for the standardisation of susceptibility testing and strategies for diagnosis and therapy.
Longitudinal changes in life-space mobility and autonomy in participation outdoors among Finnish community-dwelling older adults from pre-COVID-19 to through the pandemic
Authors: Lindeman Katja , Karavirta Laura , Koivunen Kaisa , Keskinen Kirsi E. , Eronen Johanna , Portegijs Erja , Rantanen Taina 
Published: April 2024

Abstract
Background
Among older people, community mobility was reduced at the beginning of the COVID-19 pandemic, but the longer-term changes are unclear.

Aims
To study lower extremity performance and car driving as predictors of changes in older adults’ life-space mobility, autonomy in participation outdoors, and the risk of developing restricted life-space mobility from 2017 to 2022.

Methods
Life-space mobility (scoring range 0-120) and autonomy in participation outdoors (scoring range 0–20) were assessed in community-dwelling individuals (n = 657) in 2017–2018 (baseline age 75, 80, or 85 years), during the first wave of COVID-19 in 2020, and in 2021–2022. Lower extremity performance was assessed using the Short Physical Performance Battery, and car driving was self-reported at baseline. Data were analysed using generalized estimating equations and Cox regression.

Results
During the first wave of COVID-19 in 2020, life-space mobility decreased on average by 10.3 (SD 21.6) points and partially recovered in 2021–2022 (+ 2.7, SD 21.8). The same pattern was observed for autonomy in participation outdoors. Non-drivers and those with impaired lower extremity performance had a 2.4-to-3.6-fold adjusted risk of developing restricted life-space mobility over the follow-up period compared to drivers with intact lower extremity performance.

Conclusions
For older people, the recovery of community mobility was incomplete after the restrictions stemming from the pandemic were lifted. Older adults with impaired lower extremity performance and who did not drive were particularly vulnerable to developing restricted life-space mobility, a situation that could lead to social isolation and reduced well-being.
Does presbygeusia really exist? An updated narrative review
Authors: Ponzo Valentina , Bo Mario , Favaro Enrica , Merlo Fabio , Isaia Gianluca , Presta Roberto , Collo Alessandro , Riso Sergio , Bo Simona 
Published: April 2024

AbstractThis review critically assessed the existence of presbygeusia, i.e., the impairment in taste perception occurring in the elderly, as a natural part of the aging process and its potential clinical implications. Several factors might contribute to age-related taste alterations (TAs), including structural changes in taste buds, alterations in saliva composition, central nervous system changes, and oral microbiota dysbiosis. A comprehensive literature review was conducted to disentangle the effects of age from those of the several age-related diseases or conditions promoting TAs. Most of the included studies reported TAs in healthy elderly people, suggesting that presbygeusia is a relatively frequent condition associated with age-related changes in the absence of pathological conditions. However, the impact of TAs on dietary preferences and food choices among the elderly seems to be less relevant when compared to other factors, such as cultural, psychological, and social influences. In conclusion, presbygeusia exists even in the absence of comorbidities or drug side effects, but its impact on dietary choices in the elderly is likely modest.
Analyticity and supershift with irregular sampling
Authors: Colombo F. , Sabadini I. , Struppa D. C. , Yger A. 
Published: April 2024

AbstractThe notion of supershift generalizes that one of superoscillation and expresses the fact that the sampling of a function in an interval allows to compute the values of the function outside the interval. In a previous paper, we discussed the case in which the sampling of the function is regular and we are considering supershift in a bounded set, while here we investigate how irregularity in the sampling may affect the answer to the question of whether there is any relation between supershift and real analyticity on the whole real line. We show that the restriction to $$\mathbb {R}$$
R
of any entire function displays supershift, whereas the converse is, in general, not true. We conjecture that the converse is true as long as the sampling is regular, we discuss examples in support and we prove that the conjecture is indeed true for periodic functions.
Short-term origin–destination flow prediction for urban rail network: a deep learning method based on multi-source big data
Authors: Cui Hongmeng , Si Bingfeng , Wang Jiayuan , Zhao Ben , Pan Weiting 
Published: April 2024

AbstractShort-term prediction of origin–destination (OD) flow is a primary but complex assignment to urban rail companies, which is the basis of intelligent and real-time urban rail transit (URT) operation and management. The short-term prediction of URT OD flow has three special characteristics: data lag, data dimensionality, and data malconformation, distinguishing it from other short-term prediction tasks. It is essential to propose a novel prediction algorithm that considers the special characteristics of the URT OD flow. For this purpose, based on deep learning methods and multi-source big data, a modified spatial–temporal long short-term memory (ST-LSTM) model is established. The proposed model comprises four components: (1) a temporal feature extraction module is devised to extract time information within network-wide historical OD data; (2) a spatial correlation learning module is introduced to address the data malconformation and data dimensionality problems, which provides an interpretable spatial correlation quantization method; (3) an input control-gated mechanism is originally proposed to solve the data lag problem, which combines the processed available OD flow and real-time inflow/outflow; (4) a fusion module combines historical spatial–temporal features with real-time information to achieve accurate OD flow prediction. We also further discuss the interpretability of the model in detail. The ST-LSTM model is evaluated by sufficient experiments on two large-scale actual subway datasets from Nanjing and Beijing, and the experimental results demonstrate that it can better learn the spatial–temporal correlations and exceed the rest benchmarking methods.
Multi-constraint non-negative matrix factorization for community detection: orthogonal regular sparse constraint non-negative matrix factorization
Authors: Chen Zigang , Xiao Qi , Leng Tao , Zhang Zhenjiang , Pan Ding , Liu Yuhong , Li Xiaoyong 
Published: April 2024

AbstractCommunity detection is an important method to analyze the characteristics and structure of community networks, which can excavate the potential links between nodes and further discover subgroups from complex networks. However, most of the existing methods only unilaterally consider the direct link topology without comprehensively considering the internal and external characteristics of the community as well as the result itself, which fails to maximize the access to the network information, thus affecting the effectiveness of community detection. To compensate for this deficiency, we propose a new community detection method based on multi-constraint non-negative matrix factorization, named orthogonal regular sparse constraint non-negative matrix factorization (ORSNMF). Based on the network topology, the ORSNMF algorithm models the differences of the outside of the community, the similarities of the nodes inside the community, and the sparseness of the community membership matrices at the same time, which together guides the iterative learning process to better reflect the underlying information and inherent attributes of the community structure in order to improve the correct rate of dividing subgroups. An algorithm with convergence guarantee is also proposed to solve the model, and finally a large number of comparative experiments are conducted, and the results show that the algorithm has good results.
Localising decent work for poverty reduction in Africa: a case study of the decent work pilot project in Ghana
Authors: Okbandrias Meron , Nordjo Eric 
Published: April 2024

AbstractSince the adoption of Local Agenda 21, local governments have been enjoined to become active players in major development agendas, including the Sustainable Development Goals (SDGs). Despite the proliferation of literature on localisation strategies adopted by sub-national governments in pursuance of the 17 SDGs, little is known about localised efforts to fulfil SDG 8: “Promote inclusive and sustainable economic growth, employment and decent work for all”, particularly in Africa. Through a qualitative case study of the Ghana Decent Work Pilot Project, this paper examines how two local districts adapted and implemented the principles of decent work in a rural setting to improve the well-being of informal workers. The findings reveal that decent work was conceptualised by local authorities to mean the achievement of four main goals: the stimulation of local employment, extension of social security to informal entrepreneurs, adoption of best business practices and enhancement of entrepreneurs’ participation in local assembly decision-making. To enhance the achievement of these goals, the local authorities launched four main interventions in a gender- and poverty-sensitive manner. These interventions include institutional embedding of the project, capacity building for entrepreneurs, the unionisation of entrepreneurs and the introduction of local health and financing schemes. The study concludes with policy recommendations that, if adopted, would help to upscale and out-scale local efforts to promote decent work across Africa.
Geological characteristics and major factors controlling the high yield of tight oil in the Da’anzhai member of the western Gongshanmiao in the central Sichuan basin, China
Authors: Fan Cunhui , Nie Shan , Li Hu , Pan Qingchuan , Shi Xiangchao , Qin Sumei , Zhang Minzhi , Yang Zongheng 
Published: April 2024

AbstractThe Da’anzhai Member limestone in the central Sichuan Basin holds significant importance as a tight oil-producing formation. Despite its crucial role, the intricate patterns of hydrocarbon enrichment and the elusive geological factors dictating high-yield production have impeded tight oil exploration and development in the Sichuan Basin. This study delves into the geological characteristics of tight oil and identifies key factors influencing high-yield production, utilizing comprehensive data derived from cores, thin sections, well logging, seismic studies, and production tests of the Da’anzhai Member in the western Gongshanmiao within the central Sichuan Basin. Our findings reveal that the primary productive strata for tight oil are the Da 1 (1st Submember of the Da’anzhai Member) and Da 3 (3rd Submember of the Da’anzhai Member) Submembers, characterized by high-energy and low-energy shell beach microfacies. The kerogen type is sapropelic, ranging from mature to highly mature, positioning it as a moderately good hydrocarbon source rock. The predominant lithology of the reservoir consists of coquina and argillaceous coquina, with secondary dissolved pores, fractures, and nano-scale micropores serving as the predominant reservoir spaces. The overall lithology represents a dense limestone reservoir of the pore-fracture type, featuring low porosity and permeability. Critical controlling factors for achieving high-yield production of tight oil encompass lithological composition, fracture development, tectonic position, and source-reservoir configuration. Notably, substantial coquina thickness, fracture development, and the strategic relationship between the lower reservoir and upper source rocks contribute significantly to unlocking high tight oil yields. Additionally, thin-layer coquina emerges as a potential area for realizing increased oil and gas production capacity during later stages of development. This comprehensive analysis sheds light on the intricate dynamics governing tight oil production in the Da’anzhai Member, offering valuable insights for advancing exploration and development strategies in the Sichuan Basin.
Proofreading exonuclease activity of replicative polymerase epsilon promotes cellular tolerance to arabinosides in CTF18-dependent and -independent manner
Authors: Rahman Md. Ratul , Hirota Kouji , Kawasumi Ryotaro 
Published: April 2024

AbstractAra-A, Ara-C, Ara-G, and Ara-T are arabinose sugars combined with adenine, cytosine, guanine, and thymine bases, respectively. These drugs are clinically important as these drugs are commonly used as anti-viral and anti-cancer drugs. Ara-C, an arabinoside, serves as a chain terminator of deoxyribonucleic acid (DNA) replication by interfering with replication after it is incorporated at the 3′ end of nascent DNA, thereby restricting the proliferation of viruses and cancer cells. The incorporated Ara-CMP is efficiently removed by the proofreading exonuclease activity of polymerase epsilon (Polε), in which the alternative clamp loader CTF18 plays a pivotal role. However, the requirement of CTF18 for the removal of the other arabinosides from the 3′ end of nascent DNA remains unclear. Here, we explored DNA repair pathways responsible for the cellular tolerance to Ara-A and found that cells deficient in the proofreading exonuclease activity of Polε (POLE1exo−/−) showed the highest sensitivity to Ara-A. This activity was also required for cellular tolerance to Ara-G and Ara-T. CTF18−/− cells showed higher Ara-A sensitivity than wild-type cells, though it was critically lower than that of POLE1exo−/− cells. Similar trends were observed for the sensitivity to Ara-G and Ara-T. These results indicate that these arabinosides are removed by Polε proofreading exonuclease activity, and CTF18 is pivotal for Polε-mediated Ara-C removal but does not play critical roles for Polε-mediated removal of Ara-A, Ara-G, and Ara-T. In this study, we unveiled a difference between Ara-C and the other arabinosides (Ara-A, Ara-G, and Ara-T) in the removal from the 3′ end of nascent DNA.
The STIRData Approach to Interoperability of European Company High-Value Datasets
Authors: Klímek Jakub , Chortaras Alexandros , Míšek Jakub , Yang Jim J. , Skagemo Steinar , Tzouvaras Vassilis 
Published: April 2024

AbstractThe European Commission has published a list of high-value datasets (HVDs) that public sector bodies must make available as open data as part of the Open Data Directive. One of the HVD topics is company data. Although the HVD description contains items that must be included in these datasets, it does not prescribe any technical means of how the data should be published. This is a major obstacle to the interoperability of the datasets once they are published. In this extended paper, we elaborate on the results of STIRData, a project co-financed by the Connecting Europe Facility Programme of the European Union, focusing on various aspects of data interoperability of open data from business registries, covering the company data HVDs topic. These aspects include the semantic, technical, and legal interoperability of this data. The results include a data architecture and a data specification to make the published data technically and semantically interoperable. In addition, we present basic legal interoperability guidelines to ensure legal interoperability of the published data, which is a topic often neglected by technically focused data experts. The project results include proof-of-concept transformations of data from selected European business registries using open source tools and in accordance with the data specification. Moreover, a user-orientated platform for browsing and analysing the data is presented as an example of the possibilities of using the data published in an interoperable way. Finally, we present an example of how compliant data can be processed by data experts for further analysis.
Instrumentation of hypoplastic pedicles with patient-specific guides
Authors: Farshad Mazda , Zindel Christoph , Safa Nico Akhavan , Spirig José Miguel , Winkler Elin 
Published: April 2024

Abstract
Purpose
Hypoplastic pedicles of the thoracolumbar spine (<5 mm diameter) are often found in syndromic deformities of the spine and pose a challenge in pedicle screw instrumentation. 3D-printed patient-specific guides might help overcome anatomical difficulties when instrumenting pedicles with screws, thereby reducing the necessity for less effective fixation methods such as hooks or sublaminar wires. In this study, the surgical feasibility and clinical outcome of patients with hypoplastic pedicles following pedicle screw instrumentation with 3D-printed patient-specific guides were assessed.

Methods
Hypoplastic pedicles were identified on preoperative computed tomography (CT) scans in six patients undergoing posterior spinal fusion surgery between 2017 and 2020. Based on these preoperative CT scans, patient-specific guides were produced to help with screw instrumentation of these thin pedicles. Postoperatively, pedicle-screw-related complications or revisions were analyzed.

Results
93/105 (88.6%) pedicle screws placed with patient-specific guides were instrumented. 62/93 (66.7%) of these instrumented pedicles were defined as hypoplastic with a mean width of 3.07 mm (SD  ±0.98 mm, 95% CI [2.82–3.32]). Overall, 6 complications in the 62 hypoplastic pedicles (9.7%) were observed and included intraoperatively managed 4 cerebrospinal fluid leaks, 1 pneumothorax and 1 delayed revision due to 2 lumbar screws (2/62, 3.3%) impinging the L3 nerve root causing a painful radiculopathy. The mean follow-up time was 26.7 (SD  ±11.7) months. Complications were only noted when the pedicle-width-to-screw-diameter ratio measured less than 0.62.

Conclusion
Patient-specific 3D-printed guides can aid in challenging instrumentation of hypoplastic pedicles in the thoracolumbar spine, especially if the pedicle-width-to-screw-diameter ratio is greater than 0.62.
Spatial interactions between perceived biophilic values and neighborhood typologies in urban wetlands
Authors: Villagra Paula , Rojas Carolina , Rojas Octavio , Alves Susana 
Published: April 2024

AbstractWetlands provide a wide range of ecosystem services; however, little is known about their perception value or use for improving urban planning and wetland management. This study explores the perception values towards the Los Batros Wetland in Chile, by inhabitants from different neighborhood typologies. A sample of 457 responses evaluated the wetland by applying the Kellert framework of 9 biophilic values using a Public Participation Geographic Information Systems (PPGIS) approach. A spatial autocorrelation analysis with hotspot revealed that the spatial distribution of biophilic values varies by neighborhood typology. Subsequent ANOVA and T-test suggest that such distribution is affected by perceived accessibility and visitation purposes, and is influenced by socio-demographic aspects that vary among neighborhood typology. Inhabitants of the garden city typology located next to the wetland area, whose residents have higher education and income levels and who have easy and moderate access to the wetland, agreed with a diverse type of biophilic values. In the garden city, the ecologistic-scientific value has the higher spatial concentration. In the condominium typology, with similar education and income levels and accessibility, but situated far from the wetland, there was less agreement with biophilic values, and these were more dispersed, i.e. biophilic values are less representative. In this case, the aesthetic value prevails over others. At the north area of the neighborhood unit, where residents had lower education and income levels along with moderate to difficult physical access to the wetland, but they developed horticultural activities alongside the wetland, inhabitants agree with various biophilic values, highlighting its symbolic value. Conversely, biophilic values of people in the favela were not in agreement nor disagreement, regardless they have similar physical access and distance to the wetland as residents in the condominium typology, but have the lowest income and education level. Findings suggest that effective wetlands management requires appreciation of the clusters of values assigned to wetland environments, which in this case relate to neighborhood typologies. These clusters should be considered when planning to restore, protect, and improve urban wetlands.
ONE-VARIABLE FRAGMENTS OF FIRST-ORDER LOGICS
Authors: CINTULA PETR , METCALFE GEORGE , TOKUDA NAOMI 
Published: April 2024

AbstractThe one-variable fragment of a first-order logic may be viewed as an “S5-like” modal logic, where the universal and existential quantifiers are replaced by box and diamond modalities, respectively. Axiomatizations of these modal logics have been obtained for special cases—notably, the modal counterparts
$\mathrm {S5}$
and
$\mathrm {MIPC}$
of the one-variable fragments of first-order classical logic and first-order intuitionistic logic, respectively—but a general approach, extending beyond first-order intermediate logics, has been lacking. To this end, a sufficient criterion is given in this paper for the one-variable fragment of a semantically defined first-order logic—spanning families of intermediate, substructural, many-valued, and modal logics—to admit a certain natural axiomatization. More precisely, an axiomatization is obtained for the one-variable fragment of any first-order logic based on a variety of algebraic structures with a lattice reduct that has the superamalgamation property, using a generalized version of a functional representation theorem for monadic Heyting algebras due to Bezhanishvili and Harding. An alternative proof-theoretic strategy for obtaining such axiomatization results is also developed for first-order substructural logics that have a cut-free sequent calculus and admit a certain interpolation property.