bluuebunny/crossref_metadata_2025_split huggingface dataset:
Feasibility study on a large scale 3D printed scissor structure
Authors: Guillén Juan Francisco García , Kungurova Stanislava , Lim Hui Jie , Shchukina Alisa , Ng Ji Yann , Reich Stefan , Buchmann Carl 
Published: June 2023

AbstractThis paper presents a case study on applying large-scale additive manufacturing (LSAM) to scissor-type deployable structures for disaster shelters. The use of advanced technology has become increasingly popular among architects, engineers, and other stakeholders looking to achieve more efficient designs. In this context, LSAM offers the potential to optimize form, reduce material consumption, and speed up the construction process. The project includes both a theoretical study of scissor structures and practical feasibility tests, culminating in the design and manufacture of a full-scale printed prototype. Computational design tools were used to analyze and compare different designs and simulate manufacturing processes in a virtual environment. Through this case study, we provide a detailed account of our journey from design to fabrication and offer a critical reflection on the findings.
Metastasiertes Urothelkarzinom – Spätlinientherapien
Authors: Krauter Johanna , Gust Kilian , Shariat Shahrokh 
Published: June 2023

ZusammenfassungDas fortgeschrittene/metastasierte Urothelkarzinom ist eine aggressive Erkrankung mit daraus resultierender begrenzter Lebenserwartung der Patienten. Die bisherige Standardtherapie beschränkte sich lange Zeit auf eine platinbasierte Chemotherapie in der Erstlinie. In den letzten Jahren hielt die Immuntherapie Einzug in die Therapie des mUC: in der Erstlinie bei Platin-ungeeigneten Patienten, in der Erhaltung nach Nichtprogress unter Erstlinienchemotherapie sowie in der Zweitlinientherapie. Avelumab ist mittlerweile der Standard als Erhaltungstherapie nach Ansprechen oder stabilem Befund nach der Chemotherapie. Sollte es während oder nach der platinbasierten Erstlinienchemotherapie zum Progress kommen, wird Pembrolizumab in allen Leitlinien unabhängig vom „Programmed cell death-ligand 1“(PD-L1)-Status in der Zweitlinie empfohlen. Eine weitere Möglichkeit ist nachfolgend die erneute Chemotherapie mit Vinflunin, Taxanen oder eine Re-Challenge mit platinbasierter Chemotherapie, wobei die Erfolge dieses Vorgehens nicht zufriedenstellend sind. In den letzten Jahren wurden für dieses Setting einige neue Therapien entwickelt. In den NCCN- und ESMO-Leitlinien werden Antikörper-Wirkstoff-Konjugate (AWK) wie Enfortumab-Vedotin oder der Pan-FGFR-Tyrosinkinase-Inhibitor (FGFR: Fibroblastenwachstumsfaktorenrezeptor) Erdafitinib bei FGFR2-/3-Alterationen als Drittlinientherapie bereits diskutiert. In Europa ist derzeit nur Enfortumab-Vedotin von der EMA bei Progress nach Chemo- und Immuntherapie zugelassen. Die Zulassung von Erdafitinib steht derzeit noch aus. Eine weitere neue Option ist Sacituzumab-Govitecan (Trop-2), hier steht die Zulassung durch die EMA ebenso aus. Weitere molekulargenetische Ansatzpunkte können etwaig durch „next generation sequencing“ (NGS) aufgezeigt werden und machen so in spezialisierten Zentren ggf. weitere Therapien auch nach Ausschöpfen der Standardtherapien möglich. Grundvorrausetzung für die optimale Versorgung des Patienten ist die Behandlung in einem erfahrenen Zentrum, um die bestmögliche Strategie für den Patienten, v. a. in späteren Therapielinien, zu gewährleisten und den Einschluss in weiterführende Studien zu ermöglichen.
A theoretical liquid crystal elastomer model that mimics the elasticity of cat skin
Authors: Mihai L. Angela 
Published: June 2023

AbstractA mathematical model for nematic liquid crystal elastomers is proposed that mimics the elastic response of cat skin where reorientation of dermal fibres produces an increase in the thickness direction under tensile stretch. To capture this unusual effect, the uniaxial order parameter in the nematic elastomer model is allowed to decrease then increase again, and the critical stretch at which this change of monotonicity occurs and where the director also rotates suddenly is predicted. In addition, the model parameters are described by probability density functions and their uncertainty is propagated numerically to the predicted mechanical results.
Agro-ecological intensification for climate change adaptation: tales on soil and water management practices of smallholder farmers in rural Ghana
Authors: Naazie Godwin K. , Dakyaga Francis , Derbile Emmanuel K. 
Published: June 2023

AbstractIn response to the increasing impacts of climatic stressors on human populations, climatic scholars have emphasized the need for alternative approaches to adapt food crop production to climate change and sustain the livelihoods of smallholder farmers. Inspired by agro-ecological intensification (AEI) practices of smallholder farmers, this study contributes to climate change adaptation debates in Sub-Saharan Africa by providing a context-specific exploration of everyday traditional soil and water management practices employed by smallholder farmers in adapting food crop production to climate change. The study employed a qualitative research design, conducted household case studies, focus group discussions, key informant interviews, and a review of secondary data. We show that smallholder farmers employ diverse range of agronomic practices, with a particular emphasis on traditional soil and water management techniques. Such as the preparation and application of organic manure and compost, ridges formation, crop rotation, and cover cropping. These agronomic practices were complemented by the application of limited inorganic fertilizers and applied across different types of farms; compound and bush farms, valley fields, and gardens to adapt production to climate change. We argue that smallholder farmers are more inclined towards adopting AEI as a means of climate change adaptation due to their strong reliance on traditional farming methods, that draws heavily on local resources, indigenous knowledge as relatively affordable practices. Therefore, we emphasize the importance of incorporating an Endogenous Development (ED) approach in promoting AEI as part of climate change adaptation planning, particularly in rural Ghana and other Sub-Saharan African regions facing similar conditions.
To democratize or not to democratize AI? That is the question
Authors: Murphy John W. , Taylor Randon R. 
Published: June 2023

Abstract
This paper advances the debate surrounding whether to democratize AI and explores some of the challenges and benefits of democratization through community-based work and direct democracy. We contend that community-based strategies can incorporate local knowledge and control, thereby providing more effective AI solutions that are human-centric and less harmful. However, democratization needs to be approached with caution and care, since this process requires a deeper understanding of who participates, the decision domain, and the different realities at stake. Moreover, we highlight the importance of participation in AI development to ensure its legitimacy, considering the capacity of this technology to shape reality. We emphasize that participation should be more than just involving stakeholders or seeking input from users. Rather, participation should involve local narratives that generate knowledge and shape information landscapes, thereby producing a different, anti-Cartesian scene. We conclude by underscoring that the success of democratizing AI hinges on the careful delineation of the boundaries of participation, which should include the specific needs of the immediate context, the decision domain, and the various participants involved.
Achieving sustainable development goals through digitalising creative works: some evidence from social enterprises in Indonesia
Authors: Pratono Aluisius Hery , Nawangpalupi Catharina Badra , Sutanti Ari 
Published: June 2023

AbstractThis article aims to examine how businesses support the SDGs by exploring the role of social enterprises in supporting creative workers by adopting digital economic activities. This study adopts the inductive qualitative approach by observing the creative industry, conducting focus group discussions, and interviewing the main stakeholders to arrive at four findings. The findings indicate that social enterprises (1) encourage the creative workers to embrace their cultural identities by providing a digital platform, (2) support the creative workers to deal with customers by exploiting resourceful social networks, (3) promote inclusive community governance by adopting the crowdfunding platform, and (4) help the creative workers gain support from donors by showing their excellent pilot projects. The article extends the debate between neoclassical economics with profit-oriented goals and social enterprise approaches by highlighting the role of stakeholder, triple bottom line, and identity theories.
Reverse-engineering information presentations: recovering hierarchical grouping from layouts of visual elements
Authors: Shi Danqing , Cui Weiwei , Huang Danqing , Zhang Haidong , Cao Nan 
Published: June 2023

AbstractVisual elements in an information presentation are often spatially and semantically grouped hierarchically for effective message delivery. Studying the hierarchical grouping information can help researchers and designers better explore layout structures and understand design demographics. However, recovering hierarchical grouping is challenging due to a large number of possibilities for compositing visual elements into a single-page design. This paper introduces an automatic approach that takes the layout of visual elements as input and returns the hierarchical grouping as output. To understand information presentations, we first contribute a dataset of 23,072 information presentations with diverse layouts to the community. Next, we propose our technique with a Transformer-based model to predict relatedness between visual elements and a bottom-up algorithm to produce the hierarchical grouping. Finally, we evaluate our technique through a technical experiment and a user study with 30 designers. The results show that the proposed technique is promising.
South American Maize and Political Economy of the Middle and Late Formative Soconusco Region of Guatemala
Authors: Hart Thomas C. , Duncan Neil A. , Pearsall Deborah M. , Love Michael W. 
Published: June 2023

AbstractWe present macrobotanical, starch, and phytolith data from artifacts and sediments from Middle Formative La Blanca (1000–600 cal BC) and Late Formative El Ujuxte (600 cal BC–cal AD 115 ) in the Soconusco region in Guatemala. Potential economic plants identified included palm (cf. Arecaceae), two varieties of maize (Zea mays), guava (Psidium guajava), bean (Phaseolus), chili peppers (Capsicum), squash (Cucurbitaceae), custard apple (Annonaceae), coco plum (Chrysobalanaceae), lerén (Calathea), arrowroot (Maranta), and bird-of-paradise (Heliconia). The results suggest that control of food production and consumption was critical for the transition from complex chiefdoms during the Middle Formative to the archaic state in the Late Formative. The arrival of a more productive South American variety of maize at El Ujuxte (about 2549 BP) allowed elites to exploit an already existing broad-based economic system and to use the maize-based religious system to increase control over maize agricultural practices and maintain power through ideology and disciplinary power. These data suggest that the arrival of fully domesticated South American maize likely influenced the overall development of Mesoamerican state-level societies.
Ayurgenomics-based frameworks in precision and integrative medicine: Translational opportunities
Authors: Mukerji Mitali 
Published: June 2023

Abstract
In today’s globalized and flat world, a patient can access and seek multiple health and disease management options. A digitally enabled participatory framework that allows an evidence-based informed choice is likely to assume an immense importance in the future. In India, traditional knowledge systems, like Ayurveda, coexist with modern medicine. However, due to limited crosstalk between the clinicians of both disciplines, a patient attempts integrative medicine by seeking both options independently with limited understanding and evidence. There is a need for an integrative medicine platform with a formalized approach, which allows practitioners from the two diverse systems to crosstalk, coexist, and coevolve for an informed cross-referral that benefits the patients. To be successful, this needs frameworks that enable the bridging of disciplines through a common interface with shared ontologies. Ayurgenomics is an emerging discipline that explores the principles and practices of Ayurveda combined with genomics approaches for mainstream integration. The present review highlights how in conjunction with different disciplines and technologies this has provided frameworks for (1) the discovery of molecular correlates to build ontological links between the two systems, (2) the discovery of biomarkers and targets for early actionable interventions, (3) understanding molecular mechanisms of drug action from its usage perspective in Ayurveda with applications in repurposing, (4) understanding the network and P4 medicine perspective of Ayurveda through a common organizing principle, (5) non-invasive stratification of healthy and diseased individuals using a compendium of system-level phenotypes, and (6) developing evidence-based solutions for practice in integrative medicine settings. The concordance between the two contrasting streams has been built through extensive explorations and iterations of the concepts of Ayurveda and genomic observations using state-of-the-art technologies, computational approaches, and model system studies. These highlight the enormous potential of a trans-disciplinary approach in evolving solutions for personalized interventions in integrative medicine settings.
Characteristics of food establishments registered with a meal delivery app in Latin America
Authors: de Paula Matos Juliana , Julião Karen Carolina Martins , Horta Paula Martins 
Published: June 2023

AbstractNumerous studies have characterised the establishments registered with meal delivery apps (MDA) in several countries. However, little evidence is available regarding these platforms in Latin America (LA). The purpose of this study is to characterise food establishments registered with an MDA in nine LA cities. The establishments (n 3339) were characterised by the following keyword groups: ‘Typical cuisine’, ‘Meat and fish’, ‘Snacks’, ‘Breakfast’, ‘Desserts’ and ‘Healthy’. In addition, we identified the marketing strategies present in the establishments’ advertisements: photos, discounts and free delivery. Mexico City had the highest number of establishments registered with MDA (773), followed by Bogotá (655), Buenos Aires (567) and São Paulo (454). There is a direct relationship between the number of inhabitants of the cities and the number of the registered establishments. ‘Snacks’ was the keyword group most used by establishments in five of the nine cities. Establishments in two cities were most often characterised by the terms ‘Typical cuisine’ (Mexico City and Santiago de Chile) and ‘Meats and fish’ (Quito and San Jose). Photos were present in the advertisements of at least 84·0 % of the establishments. In addition, at least 40 % of establishments in Montevideo, Bogotá, São Paulo, Lima and Santiago de Chile offered discounts. Free delivery was present in at least 50 % of establishments in Quito, San Jose, Mexico City, Santiago de Chile and Lima. Photos were also the most common marketing strategy used by the establishments classified in all groups of keywords, while free delivery and discounts differed among them.
TRANSPOSITION AT VIRGIL, AENEID 8.612–13
Authors: Nathan Jonathan 
Published: June 2023

AbstractThis article argues that two words in line 8.612 of the Aeneid, promissa and perfecta, have been transposed since the poem's composition, and that the restoration of their correct order yields a preferable sense. This corruption would have happened at an early stage in the poem's transmission, but there is some reason to believe that Servius’ comment on the verse reflects its original state.
Building a pedagogic spellchecker for L2 learners of Spanish
Authors: Blázquez-Carretero Miguel 
Published: June 2023

AbstractIn 2016, Lawley proposed an easy-to-build spellchecker specifically designed to help second language (L2) learners in their writing process by facilitating self-correction. The aim was to overcome the disadvantages to L2 learners posed by generic spellcheckers (GSC), such as that embedded in Microsoft Word. Drawbacks include autocorrection, misdiagnoses, and overlooked errors. With the aim of imparting explicit L2 spelling knowledge, this correcting tool does not merely suggest possible alternatives to the detected error but also provides explanations of any relevant spelling patterns. Following Lawley’s (2016) recommendations, the present study developed a prototype computer-based pedagogic spellchecker (PSC) to aid L2 learners in self-correcting their written production in Spanish. First, a corpus was used to identify frequent spelling errors of Spanish as a foreign language (SFL) learners. Handcrafted feedback was then designed to tackle the commonest misspellings. To subsequently evaluate this PSC’s efficacy in error detection and correction, another learner Spanish corpus was used. Sixty compositions were analysed to determine the PSC’s capacity for error recognition and feedback provision in comparison with that of a GSC. Results indicate that the PSC detected over 90% of the misspellings, significantly outperforming the GSC in error detection. Both provided adequate feedback on two out of three detected errors, but the pedagogic nature of the former has the added advantage of facilitating self-learning (Blázquez-Carretero & Woore, 2021). These findings suggest that it is feasible to develop spellcheckers that provide synchronous feedback, allowing SFL learners to confidently self-correct their writing while saving time and effort on the teacher’s part.
Risk factors characterisation for CHD: a case–control study in Bogota and Cali, Colombia, 2002–2020
Authors: Portilla R. Esteban , Harizanov Vyara , Sarmiento Karen , Holguín Jorge , Gracia Gloria , Hurtado-Villa Paula , Zarante Ignacio 
Published: June 2023

AbstractObjective:CHDs correspond to 28% of all congenital anomalies, being the leading cause of infant mortality in the first year of life. Thus, it is essential to explore risk factors for CHDs presentation, allowing the detection of probable cases within a population.Methods:We identified newborns with CHDs within a cohort from the Program for the Prevention and Monitoring of Congenital Defects in Bogota and Cali, 2002–2020. Cases were classified as isolated, complex isolated, polymalformed, and syndromic. Variables were analysed by comparing case and control averages with Student’s t test using a 95% confidence level.Results:Prevalence obtained was 19.36 per 10 000 live births; non-specified CHD, ventricular septal defect, and atrial septal defect were the most prevalent. As risk factors were found: paternal and maternal age above 45 years, pregestational diabetes, mother’s body mass index above 25, low educational level, and socio-economic status. As protective factors: folic acid consumption within the first trimester and pregestational period.Conclusion:Different risk and protective factors associated with the presentation of CHDs have been described. We consider that public health strategies should be aimed to reduce risk factors exposure. Also, improving diagnosis and prognosis by having a close monitoring on high-risk patients.
Impact of genetic variants within serotonin turnover enzymes on human cerebral monoamine oxidase A in vivo
Authors: Spies Marie , Murgaš Matej , Vraka Chrysoula , Philippe Cecile , Gryglewski Gregor , Nics Lukas , Balber Theresa , Baldinger-Melich Pia , Hartmann Annette M. , Rujescu Dan , Hacker Marcus , Winkler-Pjrek Edda , Winkler Dietmar , Lanzenberger Rupert 
Published: June 2023

AbstractVariants within the monoamine oxidase A (MAO-A, MAOA) and tryptophan hydroxylase 2 (TPH2) genes, the main enzymes in cerebral serotonin (5-HT) turnover, affect risk for depression. Depressed cohorts show increased cerebral MAO-A in positron emission tomography (PET) studies. TPH2 polymorphisms might also influence brain MAO-A because availability of substrates (i.e. monoamine concentrations) were shown to affect MAO-A levels. We assessed the effect of MAOA (rs1137070, rs2064070, rs6323) and TPH2 (rs1386494, rs4570625) variants associated with risk for depression and related clinical phenomena on global MAO-A distribution volume (VT) using [11C]harmine PET in 51 participants (21 individuals with seasonal affective disorder (SAD) and 30 healthy individuals (HI)). Statistical analyses comprised general linear models with global MAO-A VT as dependent variable, genotype as independent variable and age, sex, group (individuals with SAD, HI) and season as covariates. rs1386494 genotype significantly affected global MAO-A VT after correction for age, group and sex (p < 0.05, corr.), with CC homozygotes showing 26% higher MAO-A levels. The role of rs1386494 on TPH2 function or expression is poorly understood. Our results suggest rs1386494 might have an effect on either, assuming that TPH2 and MAO-A levels are linked by their common product/substrate, 5-HT. Alternatively, rs1386494 might influence MAO-A levels via another mechanism, such as co-inheritance of other genetic variants. Our results provide insight into how genetic variants within serotonin turnover translate to the cerebral serotonin system. Clinicaltrials.gov Identifier: NCT02582398. EUDAMED Number: CIV-AT-13-01-009583.
Adaptive bias correction for improved subseasonal forecasting
Authors: Mouatadid Soukayna , Orenstein Paulo , Flaspohler Genevieve , Cohen Judah , Oprescu Miruna , Fraenkel Ernest , Mackey Lester 
Published: June 2023

AbstractSubseasonal forecasting—predicting temperature and precipitation 2 to 6 weeks ahead—is critical for effective water allocation, wildfire management, and drought and flood mitigation. Recent international research efforts have advanced the subseasonal capabilities of operational dynamical models, yet temperature and precipitation prediction skills remain poor, partly due to stubborn errors in representing atmospheric dynamics and physics inside dynamical models. Here, to counter these errors, we introduce anadaptive bias correction(ABC) method that combines state-of-the-art dynamical forecasts with observations using machine learning. We show that, when applied to the leading subseasonal model from the European Centre for Medium-Range Weather Forecasts (ECMWF), ABC improves temperature forecasting skill by 60–90% (over baseline skills of 0.18–0.25) and precipitation forecasting skill by 40–69% (over baseline skills of 0.11–0.15) in the contiguous U.S. We couple these performance improvements with a practical workflow to explain ABC skill gains and identify higher-skill windows of opportunity based on specific climate conditions.