bluuebunny/crossref_metadata_2025_split huggingface dataset:
New vernacular construction: Environmental awareness and territorial inclusivity
Authors: Bocco Guarneri A , Habert G 
Published: July 2024

Abstract
Studies on vernacular architecture document the built heritage; discuss its preservation; and sometimes focus on its sustainability, expressing admiration for the wisdom it embodies. Traditional buildings are exemplary in terms of embodied environmental impact, but can hardly be transformed into ‘sustainable’ buildings in the contemporary sense, for legal, cost, technical, or cultural reasons. Today’s lifestyles and expectations of comfort are very different from the original ones. Much appreciation of vernacular buildings derives from an aestheticising approach that emphasises appearance and craftsmanship. Such appreciation is tied to the perpetuation of ‘traditional’ forms but can lead to gentrify heritage and to design buildings that are unaffordable to local individuals and communities. We present not a literature review, but a theoretical proposal of a new vernacular, rooted in locality (origin of materials, socio-economic system, skills, etc., drawing inspiration from food self-sufficiency policies) and affordable by everyone – as it was the case with ‘traditional’ vernacular – but also able to respond to contemporary priorities such as counteracting climate change by opting for negative-embodied carbon materials, and meeting present expectations of comfort. Each of these criteria is discussed in detail. Within such constraints, we claim there would still much scope for creativity and innovation in terms of architectural design, behavioural choices, and policy adoption. The analysis of four recent buildings designed by outstanding contemporary architects in three continents completes the paper, substantiating very different examples in tune with the proposed approach. Open questions – including regarding the possibility of future identification of quantitative thresholds to describe ‘new vernacular’ buildings – are discussed in the conclusion.
Influence of fibre direction on the mechanical properties and artificial intelligence-based performance prediction of hybrid abaca-jute amino composites
Authors: S Ramesh , B H Maruthi Prashanth , Gomathi P , Swamy G M , Kandagal Zaheerabbas B , Anne Gajanan 
Published: July 2024

Abstract
In this study, the Hot-press method was used to create hybrid laminates using an equal amount of jute and abaca fibers with various fiber orientations [0/0/0/0/0/0, 0/45/0/0/45/0, 0/90/0/0/90/0, and +45/−45/+45/+45/−45/+45] embedded in amino resin. To assess the impact of fiber orientation on natural fiber hybrid eco-fiber composites, as per ASTM standard the tensile, flexural, impact, and ILSS tests were carried out. Additionally, conducting an in-depth statistical examination through the utilization of Machine Learning techniques like Artificial Neural Networks (ANN) to make predictions. The experimental results revealed that the voids and defects have a significant impact on composite density. (0/45/0/0/45/0)The fiber-oriented composite (Composite B) had a higher experimental density and void content than the other composites. The Composite A (0/0/0/0/0/0) outperformed other composites in terms of tensile strength, flexural load-bearing capacity, and impact strength by 5% to 29%. When compared to other composites, the Composite A fiber-oriented composite had the highest ILSS value (3.35 MPa). SEM analysis revealed a good interface between abaca-jute ecofibers and amino resin in the composite. ANN effectively predicts strengths with high R2 scores of 1, 0.98, and 0.99 for tensile, flexural, and impact strengths. The model’s interaction coefficients are close to 1, indicating strong correlative and predictive value.
Applying two approaches to detect unmeasured confounding due to time-varying variables in a self-controlled risk interval design evaluating COVID-19 vaccine safety signals, using myocarditis as a case example
Authors: Bots Sophie H , Belitser Svetlana , Groenwold Rolf H H , Durán Carlos E , Riera-Arnau Judit , Schultze Anna , Messina Davide , Segundo Elena , Douglas Ian , Carreras Juan José , Garcia-Poza Patricia , Gini Rosa , Huerta Consuelo , Martín-Pérez Mar , Martin Ivonne , Paoletti Olga , Bissacco Carlo Alberto , Correcher-Martínez Elisa , Souverein Patrick , Urchueguía-Fornes Arantxa , Villalobos Felipe , Sturkenboom Miriam C J M , Klungel Olaf H 
Published: July 2024

Abstract
We test the robustness of the self-controlled risk interval (SCRI) design in a setting where time between doses may introduce time-varying confounding, using both negative control outcomes (NCOs) and quantitative bias analysis (QBA). All vaccinated cases identified from 5 European databases between September 1, 2020, and end of data availability were included. Exposures were doses 1-3 of the Pfizer, Moderna, AstraZeneca, and Janssen COVID-19 vaccines; outcomes were myocarditis and, as the NCO, otitis externa. The SCRI used a 60-day control window and dose-specific 28-day risk windows, stratified by vaccine brand and adjusted for calendar time. The QBA included two scenarios: (1) baseline probability of the confounder was higher in the control window and (2) vice versa. The NCO was not associated with any of the COVID-19 vaccine types or doses except Moderna dose 1 (IRR = 1.09; 95% CI 1.01-1.09). The QBA suggested that even the strongest literature-reported confounder (COVID-19; RR for myocarditis = 18.3) could only explain away part of the observed effect, from IRR = 3 to IRR = 1.40. The SCRI seems robust to unmeasured confounding in the COVID-19 setting, although a strong unmeasured confounder could bias the observed effect upward. Replication of our findings for other safety signals would strengthen this conclusion.
This article is part of a Special Collection on Pharmacoepidemiology.
Temporal changes in the risk of six-month post-COVID symptoms: a national population-based cohort study
Authors: Pastorello Anne , Meyer Laurence , Coste Joël , Davisse-Paturet Camille , de Lamballerie Xavier , Melchior Maria , Novelli Sophie , Rahib Delphine , Bajos Nathalie , Vuillermoz Cécile , Franck Jeanna-Eve , Manto Carmelite , Rouquette Alexandra , Warszawski Josiane ,   EpiCov study group
Published: July 2024

Abstract
It is unclear how the risk of post-COVID symptoms evolved during the pandemic, especially before the spread of Severe Acute Respiratory Syndrome Coronavirus 2 variants and the availability of vaccines. We used modified Poisson regressions to compare the risk of six-month post-COVID symptoms and their associated risk factors according to the period of first acute COVID: during the French first (March-May 2020) or second (September-November 2020) wave. Nonresponse weights and multiple imputation were used to handle missing data. Among participants aged 15 years or older in a national population-based cohort, the risk of post-COVID symptoms was 14.6% (95% confidence interval [CI], 13.9%-15.3%) in March-May 2020, vs 7.0% (95% CI, 6.3%-7.7%) in September-November 2020 (adjusted relative risk [RR], 1.36; 95% CI, 1.20-1.55). For both periods, the risk was higher in the presence of baseline physical condition(s), and it increased with the number of acute symptoms. During the first wave, the risk was also higher for women, in the presence of baseline mental condition(s), and it varied with educational level. In France in 2020, the risk of six-month post-COVID symptoms was higher during the first than the second wave. This difference was observed before the spread of variants and the availability of vaccines.
INCAWrapper: a Python wrapper for INCA for seamless data import, -export, and -processing
Authors: Mattanovich Matthias , Hesselberg-Thomsen Viktor , Lien Annette , Vaitkus Dovydas , Saad Victoria Sara , McCloskey Douglas 
Published: July 2024

Abstract

Motivation
INCA is a powerful tool for metabolic flux analysis, however, import and export of data and results can be tedious and limit the use of INCA in automated workflows.

Results
The INCAWrapper enables the use of INCA purely through Python, which allows the use of INCA in common data science workflows.

Availability and implementation
The INCAWrapper is implemented in Python and can be found at https://github.com/biosustain/incawrapper. It is freely available under an MIT License. To run INCA, the user needs their own MATLAB and INCA licenses. INCA is freely available for noncommercial use at mfa.vueinnovations.com.
Scientific telephone: The cautionary tale of the global coverage of lichens
Authors: Drotos Katherine H I , Larson Douglas W , McMullin R Troy 
Published: July 2024

Abstract
Scientific history has many examples of profound statements that are later found to be unsubstantiated. The consequences of such misinformation can be dire. In the present article, we present a case where an unevidenced estimate of global lichen coverage proliferated through both scientific literature and popular media. We traced this estimate to a non-peer-reviewed publication from 1987. We found 76 academic articles (collectively cited 4125 times) and 13 other academic documents citing the statistic, citation chains without source attribution, and instances where the number or context was changed. We also found the statistic 37 times in popular media, which is especially concerning, given that these media communicate science to the broader public. We demonstrate how an unevidenced statement can spread, change through time, and ultimately be repeated without demand for evidence. We hope this case unplugs the telephone and provides a cautionary tale for researchers to ensure critical evaluation of citation and communication practices.
Disaster Preparedness in Social Work: Enhancing Policy in Australian Human Service Organisations
Authors: Bell Karen , Boetto Heather 
Published: July 2024

Abstract
This article reports on a small study that aimed to enhance disaster preparedness policy in Australian human service organisations. Adopting a transformative ecosocial lens, the researchers collaborated with emergency services as part of action research (AR) to co-design a series of workshops. The objectives of the workshops were to progressively develop disaster preparedness policy relating to risk assessment, service continuity and recovery plans. Semi-structured interviews with eight participants from human service organisations were undertaken post-workshop to explore their experiences and the impacts of workshops on organisational policy. Qualitative data were examined using thematic analysis. Five key themes emerged from the data. The themes were knowledge acquisition, the interrelationship between policy and practice, inter- and intra-professional relationships, organisational challenges and marginalisation. Whilst results indicated that workshops provided participants with opportunities to enhance disaster preparedness policy, participants described ongoing challenges inhibiting their progress within an organisational context. Implications for social work highlight the interrelationship between policy and practice and underscore the value of the profession’s multidimensional approach to practice. The need to disrupt the influence of the neoliberal discourse within the organisational context is critical for enhancing disaster preparedness and for mitigating the inequitable impacts of disasters on marginalised groups.
Discrete polyketones: synthesis, derivatization, and potential applications
Authors: Inokuma Yasuhide 
Published: July 2024

Abstract
The present account reviews recent progress in the synthesis, functionalization, and application of discrete polyketones. Whereas most polyketones are synthesized as polydisperse polymers with various molecular chain lengths and sizes, discrete polyketones are obtained in chemically pure forms. This allows precise structural analysis using nuclear magnetic resonance and X-ray diffraction. Discrete polyketones have been used to determine the critical chain length that distinguishes the crystallization behaviors of small molecules from those of macromolecules. Calix[3]pyrrole, which is a ring-contracted analogue of porphyrinogen, was first obtained from a cyclic hexaketone. The discovery of the strain-induced ring expansion reaction of calix[3]pyrroles has provided an important insight into solving a long-standing enigma in porphyrin synthesis. Chemical derivatization of discrete polyketones using ketone-derived transformations has resulted in the generation of various functional molecules for potential applications. These molecules have been used to develop several materials, including luminescent chromophores, ion adsorbents, drug–drug conjugates, and microfluidic devices for cancer diagnosis.
Could hydrogen gas be produced using human cells?
Authors: Catal Tunc 
Published: July 2024

Abstract
Although fossil fuels are widely used to meet energy needs, intensive research has been carried out in recent years on hydrogen production from renewable sources due to their decrease over time and environmental pollution concerns. Biofuel cell technology is one of the promising current technologies. It has been proven that various microorganisms produce energy through their natural metabolism, and that energy production is produced in biofuel cells by exoelectrogenic microorganisms that can transfer electrons to an electrode surface. Although it has been stated that employing human cells to generate energy is feasible, it is unknown whether doing so would enable the production of hydrogen. Within the scope of this perspective article, the issue of hydrogen production in bioelectrolysis cells using human cells will be discussed for the first time. Optimizing hydrogen production in bioelectrolysis cells using human cells is important in terms of contributing to hydrogen technologies. Within the scope of the article, promising human cell lines for hydrogen production are emphasized and hydrogen production potentials in bioelectrolysis cells using these cell lines are discussed. In conclusion, some human cells can be used for hydrogen gas production in bioelectrolysis cells due to their bioelectrochemical and metabolic properties.
2024 Clinical Practice Guideline Update by the Infectious Diseases Society of America on Complicated Intraabdominal Infections: Diagnostic Imaging of Suspected Acute Cholecystitis and Acute Cholangitis in Adults, Children, and Pregnant People
Authors: Bonomo Robert A , Edwards Morven S , Abrahamian Fredrick M , Bessesen Mary , Chow Anthony W , Dellinger E Patchen , Goldstein Ellie , Hayden Mary K , Humphries Romney , Kaye  , Potoski Brian A , Rodríguez-Baño  , Sawyer Robert , Skalweit Marion , Snydman David R , Tamma Pranita D , Donnelly Katelyn , Loveless Jennifer 
Published: July 2024

Abstract
This article is part of a clinical practice guideline update on the risk assessment, diagnostic imaging, and microbiological evaluation of complicated intraabdominal infections in adults, children, and pregnant people, developed by the Infectious Diseases Society of America. In this article, the panel provides recommendations for diagnostic imaging of suspected acute cholecystitis and acute cholangitis. The panel's recommendations are based on evidence derived from systematic literature reviews and adhere to a standardized methodology for rating the certainty of evidence and strength of recommendation according to the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach.
Fundamental implications of the neglect of servicisation by development economists
Authors: Fforde Adam 
Published: July 2024

Abstract
The article deploys servicisation as a case study to discuss economists’ methods and the confirmation bias issue. Data show the average pattern of structural transformation in developing countries has since the early 1990s been servicisation, and the faster the growth, the greater the servicisation. Data also show that servicisation has been an extremely under-researched topic compared with industrialisation. This is an example of confirmation bias—weak links between theory and facts—that erodes the plausibility of policy advice. The paper analyses methods and their policing, and points to issues to address to reduce risks of confirmation bias by strengthening ‘the power of facts’.
Elevated RHAMM as a biomarker for predicting diabetic kidney disease in patients with type 2 diabetes
Authors: Qi Bingxue , Lou Yan , Zhu Yongyue , Chen Yang , Yang Shixin , Meng Fanjie , Pan Zhuo , Liu Shuangshuang , Yan Guanchi , Lu Xiaodan , Huang Li-Hao 
Published: July 2024

ABSTRACT

Background
Diabetic kidney disease (DKD) poses a significant challenge globally as a complication of diabetes. Hyaluronan (HA), a critical non-sulfated glycosaminoglycan in the extracellular matrix, plays a pivotal role in the progression of DKD. This study assesses the predictive significance of HA's corresponding receptor, RHAMM (receptor for HA-mediated motility), in DKD pathogenesis in type 2 diabetes (T2DM) patients.

Methods
Enzyme-linked immunosorbent assays were utilized to measure plasma and urine levels of HA, CD44 and RHAMM in 99 diabetic patients. Immunohistochemistry staining was employed to examine HA deposition, CD44 and RHAMM expressions from 18 biopsy-proven DKD patients. Spearman correlation analysis, linear regression and receiver operating characteristic (ROC) analysis were conducted to establish associations between plasma HA, CD44 and RHAMM levels, and clinical parameters in DKD patients with T2DM.

Results
Elevated plasma and urine HA, CD44 and RHAMM levels were notably observed in the severe renal dysfunction group. Plasma RHAMM exhibited positive correlations with HA (r = 0.616, P &lt; .001) and CD44 (r = 0.220, P &lt; .001), and a negative correlation with estimated glomerular filtration rate (eGFR) (r = –0.618, P &lt; .001). After adjusting for other potential predictors, plasma RHAMM emerged as an independent predictor of declining eGFR (β = –0.160, P &lt; .05). Increased HA, CD44 and RHAMM levels in kidney biopsies of DKD patients were closely associated with heightened kidney injury. The ROC curve analysis highlighted an area under the curve (AUC) of 0.876 for plasma RHAMM, indicating superior diagnostic efficacy compared to CD44 in predicting DKD pathogenesis. The combined AUC of 0.968 for plasma RHAMM, HA and CD44 also suggested even greater diagnostic potential for DKD pathogenesis.

Conclusion
These findings provide initial evidence that elevated RHAMM levels predict DKD pathogenesis in T2DM patients. The formation of a triple complex involving HA, CD44 and RHAMM on the cell surface shows promise as a targetable biomarker for early intervention to mitigate severe renal dysfunctions.
Face recognition using deep learning on Raspberry Pi
Authors: Ahmed Ali Aboluhom Abdulatif , Kandilli Ismet 
Published: July 2024

Abstract
Facial recognition on resource-limited devices such as the Raspberry Pi poses a challenge due to inherent processing limitations. For real-time applications, finding efficient and reliable solutions is critical. This study investigated the feasibility of using transfer learning for facial recognition tasks on the Raspberry Pi and evaluated transfer learning that leverages knowledge from previously trained models. We compared two well-known deep learning (DL) architectures, InceptionV3 and MobileNetV2, adapted to face recognition datasets. MobileNetV2 outperformed InceptionV3, achieving a training accuracy of 98.20% and an F1 score of 98%, compared to InceptionV3’s training accuracy of 86.80% and an F1 score of 91%. As a result, MobileNetV2 emerges as a more powerful architecture for facial recognition tasks on the Raspberry Pi when integrated with transfer learning. These results point to a promising direction for deploying efficient DL applications on edge devices, reducing latency, and enabling real-time processing.
Development, Stasis and Detours in Wilhelm Meisters Lehrjahre and Great Expectations
Authors: Hill David 
Published: July 2024

Abstract
Both Wilhelm Meisters Lehrjahre and Great Expectations suggest the possibility of individual growth and formation leading to maturity and fulfilment, but in each case the hero’s development is problematic. Progress is not linear; it is marked by detours and is threatened or undercut by elements of stasis when time – and life – seems to stop, but equally the hero’s development seems to depend on these moments of stasis. In Wilhelm Meisters Lehrjahre a number of characters close to Wilhelm, primarily female characters, demonstrate an inability or refusal to engage with life that may be associated with sickness, introversion or the inability to manage past trauma – or indeed the transcendence offered by art and beauty. In Great Expectations Pip’s development as a moral person is undercut by his illusion that the deathly Miss Haversham has plans to provide him with the wealth and social status to put him on a level with Estella. His social advancement as ‘a gentleman’ thus hinders his true development as a moral person and produces a temporary moral stasis. Nevertheless, in both novels the female characters associated with stasis play an essential part in setting the hero on a course that promises positive development and self-fulfilment. In the end, though, neither author is entirely able to resolve the tensions within their idea of development, which seems to run counter to the idea of stasis but also, somehow, to require it: correspondingly, the endings of both novels are open and uncertain.
Structure size may affect fish density around oil platforms
Authors: Lawrence Joshua M , Heath Michael R , Speirs Douglas C , Fernandes Paul G 
Published: July 2024

Abstract
Thousands of offshore oil and gas platforms have been installed worldwide and are known to act as artificial reefs. Many platforms are nearing the end of their operational lives and will soon require decommissioning, but uncertainty remains about the impacts of these structures, and their removal, on the environment. Fish aggregate at platforms, but little is known about the extent of these effects in the North Sea and the causes of variability in these associations. Here, an uncrewed surface vessel (USV) was used to collect fisheries acoustic data on distributions of schooling and non-schooling fish around six oil platforms, collecting data within tens of metres of four of the surveyed platforms. In areas with more platforms, more non-schooling fish were found, and the probability of detecting fish schools was higher. Interplatform variability was found in trends in non-schooling fish density with increasing distance from platform, but the relationship was found to be strongest and most negative at the larger platforms. These findings may influence future management decisions around the decommissioning of these platforms, particularly if some structure is to be left in place to maximize the potential benefits associated with these artificial reef effects.