bluuebunny/crossref_metadata_2025_split huggingface dataset:
Life cycle assessment and life cycle cost analysis of different walling materials with an environmental approach (comparison between earth-based vs. conventional construction techniques in Iran)
Authors: Dormohamadi Mansoure , Rahimnia Reza , Bunster Victor 
Published: December 2023

Abstract
Purpose
Climate change, environmental concerns, and economic problems pose challenges to the construction sector in Iran, which must provide affordable solutions while addressing environmental issues. Hence, natural earthen building materials are critically needed to reduce energy-intensive and costly construction practices dramatically. The purpose of this paper is to provide a framework for comparing life cycle assessments (LCA) and life cycle costs (LCC), for load-bearing walls of an single-family affordable housing unit in a desert part of Iran, Ardakan City.

Methods
To do so, both LCA and LCC for the unit were performed, considering a cradle-to-site perspective. For this purpose, 22 load bearing wall systems are assessed, including 18 stabilized and unstabilized earthen construction techniques, such as adobe, rammed earth (RE), and compressed earth block (CEB), in addition to four conventional wall assemblies of fired brick (FB), autoclaved aerated concrete block (AAC), ceramic block (CB), and concrete masonry unit (CMU). As well as assessing the environmental impact and life cycle costs associated with the life cycle of each wall, the optimal assembly of the wall is also examined.

Results
Results show that unstabilized earthen walling alternatives have significantly lower environmental impacts than conventional materials.

Conclusions
Sensitivity analysis indicates that by utilizing local materials to the maximum extent possible, impacts can be further minimized. Considering the results, transportation may even account for a greater proportion of EI than wall components.
Small-scale measurement of the transition in fracture behavior of marine sediments
Authors: Dorgan Kelly M. , Lockridge Grant , Clemo William Cyrus 
Published: December 2023

AbstractBubbles grow and burrows extend through cohesive, muddy marine sediments by fracture. In contrast, sands are non-cohesive, granular materials. Natural sediments comprised of heterogeneous mixtures of muds and sands are common in coastal areas and provide important habitat for infaunal animals. To explore the transition from cohesive to non-cohesive mechanical behavior of natural sediments, we modified a probe designed for measuring fracture toughness (KIc). The helical probe is rotated and translated into sediment to grip a plug of sediment, then translated upward to break off the plug while force is measured. Fracture toughness is calculated from the peak net force. The probe shows clearly distinct results in muddier sediments, in which fracture occurs, and in sandier sediments, in which no fracture occurs. The modified probe is limited to near-surface sediments, but it provides a novel method for distinguishing cohesive sediments with tensile strength from non-cohesive sediments on scales relevant for burrowing animals or bubble growth. This measurement allows for comparison of surface and subsurface cohesion and for assessing how tensile strength depends on other properties of sediments.
Breaking the unsustainable paradigm: exploring the relationship between energy consumption, economic development and carbon dioxide emissions in Ecuador
Authors: Borja-Patiño Jennifer , Robalino-López Andrés , Mena-Nieto Angel 
Published: December 2023

AbstractEnergy consumption is a crucial driver for economic development, improving the quality of life of the population of a country. This study attempts to contribute to the discussion by employing a systemic approach and methodology to examine the relationship between energy consumption (EC), gross domestic product (GDP) and carbon dioxide emissions (CO2) in Ecuador using time series from 1990 to 2018 with a mixed methodology (quantitative and qualitative). The energy balance and the enlarged Kaya identity are utilised to quantify the environmental impact of human activities. Furthermore, correlational cointegration and Granger causality tests are used to analyse the long-term and short-term relationships between variables in different sectors. The results reveal that there is no Granger causality between the variables in the agriculture and transport sectors, but there are unidirectional causality relationships in the industry and services sectors. In the industry sector, the study finds that EC Granger causes GDP (Wald test p value = 0.0038) and CO2 Granger causes GDP (Wald test p value = 0.0433). In the services sector, GDP Granger causes CO2 (Wald test p value = 0.0075), and EC Granger causes CO2 (Wald test p value = 0.0122), reinforcing the loop between GDP and CO2 in both the sectors. The analysed relationships help to inform policymakers about the likely impact of interventions. In addition, the study shows that Ecuador is in the initial phase of the Environmental Kuznets Curve, and provides strategies to manage sectoral energy consumption and valuable insights for other developing countries in Latin America seeking to pursue sustainable development.
Processes of sustainability transformation across systems scales: leveraging systemic change in the textile sector
Authors: Leventon Julia , Buhr Maike , Kessler Lisa , Rodriguez Aboytes Jorge Gustavo , Beyers Felix 
Published: December 2023

AbstractSustainability research emphasizes the importance of intervening with both individual and organizational behaviours as well as the systems that shape them to create sustainability transformations. However, to date there is a lack of studies that bridge the divide between small case-based interventions and global systems at broader scales, and the complex interactions across scales and processes. This paper works with a leverage points framework to consider systems transformation. It focuses on four individual sustainability interventions in the textile sector and explores how they are embedded within a complex set of nested systems, and how these connected systems shape the transformative potential of the interventions. By using an onion metaphor for systems with several onion layers representing the current textile sector and its multiple connected and nested systems, we integrate and reflect across four in-depth case studies, conducted over a period of 3 years, using a range of empirical research approaches. The findings show that the studied interventions all target multiple deep leverage points within their target systems of production and consumption. All are limited in fulfilling their transformative potential by a range of barriers that we trace back to the economic and policy and regulation systems that they are embedded within. The economic system enforces a paradigm of consumption-based growth, and the policy and regulation system fails to either support change, or restrict unsustainable behaviours. Our findings demonstrate the need to think across systems scales to understand leverage points and transformative change; our nested systems approach is one way to do so. We outline two promising pathways for sustainability transformations: (1) focussing on how to create spillover effects of favourable interventions in sub-systems to push outwards against the constraints of the current policy and regulation, and economic systems; and (2) by targeting actors and interventions within the policy and regulation and economic systems to create change in the paradigms and design they embody and enforce on the systems nested within them.
Popularity of Surgical and Pharmacological Obesity Treatment Methods Searched by Google Users: the Retrospective Analysis of Google Trends Statistics in 2004–2022
Authors: Kamiński Mikołaj , Miętkiewska-Dolecka Maja , Kręgielska-Narożna Matylda , Bogdański Paweł 
Published: December 2023

Abstract
Purpose
Many individuals search for obesity treatment options on the Internet. We aimed to analyze the popularity of pharmacological and surgical obesity treatment methods searched by Google users.

Material and Methods
We used Google Trends to identify topics representing the following: recommended surgical methods (n = 9), recommended pharmacological methods (n = 10), and not recommended pharmacological methods (n = 34). The data was generated for 2004–2022 and 2020–2022. Relative search volume (RSV) was adjusted using “Gastric bypass surgery” as a benchmark. We analyzed the geographical and temporal trends of the topics.

Results
In 2004–2022, the topics representing recommended surgical methods numerically gained the most popularity among Google users, but in 2020–2022 the recommended drugs exceeded other obesity treatment methods. The most popular individual topics since 2004 were “flaxseed,” “Spirulina,” “Carnitine,” “Bariatric surgery,” and “Orlistat.” The most dynamic increases of searches since 2004 were observed for “Sleeve gastrectomy,” “Curcumin,” “Psyllium,” and “Bupropion/Naltrexon.” Since 2018, topics representing GLP-1 analogs such as “Semaglutide” and “Saxenda” revealed exponential increases in RSV, causing that “Semaglutide” to become the fourth most popular topic in 2020–2022.

Conclusions
Google users across the world were the most interested in topics representing bariatric surgery, but recently recommended drugs for the treatment of obesity gained the most attention. The most popular individual topics were dietary supplements with uncertain effects on weight loss.

Graphical Abstract
Tricuspid valve repair and replacement for infective endocarditis
Authors: Galeone Antonella , Gardellini Jacopo , Perrone Fabiola , Francica Alessandra , Mazzeo Gina , Lucchetti Marcello Raimondi , Onorati Francesco , Luciani Giovanni Battista 
Published: December 2023

AbstractInfective endocarditis represents a challenging and life-threatening clinical condition affecting native and prosthetic heart valves, endocardium, and implanted cardiac devices. Right-sided infective endocarditis account for approximately 5–10% of all infective endocarditis and are often associated with intravenous drug use, intracardiac devices, central venous catheters, and congenital heart disease. The tricuspid valve is involved in 90% of right-side infective endocarditis. The primary treatment of tricuspid valve infective endocarditis is based on long-term intravenous antibiotics. When surgery is required, different interventions have been proposed, ranging from valvectomy to various types of valve repair to complete replacement of the valve. Percutaneous removal of vegetations using the AngioVac system has also been proposed in these patients. The aim of this narrative review is to provide an overview of the current surgical options and to discuss the results of the different surgical strategies in patients with tricuspid valve infective endocarditis.
The Differential Geometry of Curves in $$B^1\times \mathbb {R}$$
Authors: Ho Pak Tung , Huang Yen-Chang 
Published: December 2023

AbstractThe three-dimensional pseudohermitian manifolds with positive, zero, and negative constant pseudohermitian sectional curvature, respectively, with vanishing pseudohermitian torsion are the Heisenberg group $$H_1$$

H
1

, the CR sphere $$S^3$$

S
3

, and the circle bundle $$B^1\times \mathbb {R}$$

B
1

×
R

. While the differential geometry of curves in $$H_1$$

H
1

and $$S^3$$

S
3

has been studied before, there has not been any study on the differential geometry of curves in $$B^1\times \mathbb {R}$$

B
1

×
R

. In this paper, we take the first step in this direction. Among other things, we find the explicit formulas of the p-curvature and T-variation for curves in $$B^1\times \mathbb {R}$$

B
1

×
R

. We also prove the fundamental theorem of curves in $$B^1\times \mathbb {R}$$

B
1

×
R

.
Rainier Russet: A Dual Use Russet Potato with Long Tuber Dormancy, Excellent Process Quality, and High Early Harvest Packaging Efficiency
Authors: Blauer Jacob M. , Sathuvalli Vidyasagar , Charlton Brian A. , Yilma Solomon , Shock Clint C. , Baley Nicole , Qin Ruijun , Feibert Erik , Novy Richard G. , Whitworth Jonathan L. , Pavek Mark J. , Knowles Norman R. , Knowles Lisa O. , Fuller Nora , Stark Jeffrey C. , Spear Rhett R. , Thornton Michael K. , Olsen Nora , Jayanty Sastry , Navarre Duroy A. , Feldman Max J. , Vales Isabel 
Published: December 2023

Abstract‘Rainier Russet’ was released in 2020 as a medium- to late-maturing selection with russeted tubers. Total yields are less, but similar to controls ‘Ranger Russet’ and ‘Russet Burbank’, and U.S. No. 1 yields are higher than Russet Burbank with increased tubers > 284 g. Compared to controls, it has high protein levels, high specific gravity, excellent fry color and flavor ratings, low acrylamide potential, good post-harvest merit scores for processing quality, and few internal and external tuber defects. Rainier Russet is susceptible to blight diseases, PVY, and Fusarium dry rot (F. solani var. sambucinum), but resistant to common scab (Streptomyces scabies) and Fusarium dry rot (F. solani var. coeruleum). Compared to Russet Burbank, tubers are less susceptible to hollow heart/brown center, secondary growth, growth cracks, and internal brown spot but higher tuber defects for net necrosis and shatter bruise with similar blackspot bruise potential. Rainier Russet is noted for its long tuber dormancy compared to Russet Burbank.
Gaze-Cues of Humans and Robots on Pedestrian Ways
Authors: Jakobowsky Carla S. , Abrams Anna M. H. , Rosenthal-von der Pütten Astrid M. 
Published: December 2023

AbstractDelivery robots and personal cargo robots are increasingly sharing space with incidentally co-present persons (InCoPs) on pedestrian ways facing the challenge of socially adequate and safe navigation. Humans are able to effortlessly negotiate this shared space by signalling their skirting intentions via non-verbal gaze cues. In two online-experiments we investigated whether this phenomenon of gaze cuing can be transferred to human–robot interaction. In the first study, participants (n = 92) watched short videos in which either a human, a humanoid robot or a non-humanoid delivery robot moved towards the camera. In each video, the counterpart looked either straight towards the camera or did an eye movement to the right or left. The results showed that when the counterpart gaze cued to their left, also participants skirted more often to the left from their perspective, thereby walking past each other and avoiding collision. Since the participants were recruited in a right-hand driving country we replicated the study in left-hand driving countries (n = 176). Results showed that participants skirted more often to the right when the counterpart gaze cued to the right, and to the left in case of eye movements to the left, expanding our previous result. In both studies, skirting behavior did not differ regarding the type of counterpart. Hence, gaze cues increase the chance to trigger complementary skirting behavior in InCoPs independently of the robot morphology. Equipping robots with eyes can help to indicate moving direction by gaze cues and thereby improve interactions between humans and robots on pedestrian ways.
Characterization and Microstructure of Recycled Eroded Particles from Die-Sink Electro Discharge Machining of H11 Alloy for Applicability in Additive Manufacturing
Authors: Voigt Oliver , Wendler Marco , Siddique Asim , Stöcker Hartmut , Quitzke Caroline , Peuker Urs A. 
Published: December 2023

AbstractDifferent waste streams from electro discharge machining (EDM) were investigated for an upcycled usage in processes for additive manufacturing (AM). These erosion sludges accumulate in filter cartridges and at the bottom of machining basins. The enclosed particles were extracted, sieved and investigated via laser diffraction, dynamic image analysis, scanning electron microscopy, optical emission spectroscopy, elemental analysis and flowability measurements. Additionally, thermal, crystallographic and metallographic investigations as well as X-ray micro-computed tomography (µ-CT) were utilized for the characterization of particle and material properties. In general, eroded powders fulfill the requirements for AM regarding particle size and shape very well, which is confirmed in morphological investigations and powder flow characteristics showing similar properties as the H11 AM reference material. The chemical composition of the powders is equal to the machined H11 alloy, except for the high carbon content. Carbon is entrapped in the iron lattice originating from pyrolysis of the present dielectric fluid and the graphite electrode during rapid solidification, which leads to a transition from martensite to cementite structures. This change is observed in the microstructure of powders, in which acicular primary cementite and austenite are present. After remelting with slow heating and cooling rates the microstructure changed to ledeburite II with retained austenite and martensitic phases. The pore size and shape distributions obtained by µ-CT measurements showed a pore formation in the compact sample. These results provide a fundament of major properties as well as handling and recycling suggestions for eroded particles enclosed in waste sludges.
Graphical Abstract
BLCA prognostic model creation and validation based on immune gene-metabolic gene combination
Authors: Yue Shao-Yu , Niu Di , Liu Xian-Hong , Li Wei-Yi , Ding Ke , Fang Hong-Ye , Wu Xin-Dong , Li Chun , Guan Yu , Du He-Xi 
Published: December 2023

Abstract
Background
Bladder cancer (BLCA) is a prevalent urinary system malignancy. Understanding the interplay of immunological and metabolic genes in BLCA is crucial for prognosis and treatment.

Methods
Immune/metabolism genes were extracted, their expression profiles analyzed. NMF clustering found prognostic genes. Immunocyte infiltration and tumor microenvironment were examined. Risk prognostic signature using Cox/LASSO methods was developed. Immunological Microenvironment and functional enrichment analysis explored. Immunotherapy response and somatic mutations evaluated. RT-qPCR validated gene expression.

Results
We investigated these genes in 614 BLCA samples, identifying relevant prognostic genes. We developed a predictive feature and signature comprising 7 genes (POLE2, AHNAK, SHMT2, NR2F1, TFRC, OAS1, CHKB). This immune and metabolism-related gene (IMRG) signature showed superior predictive performance across multiple datasets and was independent of clinical indicators. Immunotherapy response and immune cell infiltration correlated with the risk score. Functional enrichment analysis revealed distinct biological pathways between low- and high-risk groups. The signature demonstrated higher prediction accuracy than other signatures. qRT-PCR confirmed differential gene expression and immunotherapy response.

Conclusions
The model in our work is a novel assessment tool to measure immunotherapy’s effectiveness and anticipate BLCA patients’ prognosis, offering new avenues for immunological biomarkers and targeted treatments.
Switching to bio-based packaging for organic products: supply chain actors’ perspectives
Authors: Mandolesi S. , Kilic B. , Naspetti S. , Zanoli R. 
Published: December 2023

AbstractThe use of fossil-based plastics used for packing organic foods is under the lens of the organic movement because of the contrast with the organic farming principles and its negative impact on the environment. Bioplastics, which can be bio-based and biodegradable, are a promising solution to address the various issues, i.e. social and environmental, caused by the intense use of conventional plastics. Nevertheless, using bioplastics as a more sustainable solution in the food packaging industry is still controversial. It involves a variety of opinions, consensus, and disagreements among food supply chain actors. The present study investigated stakeholders’ viewpoints regarding the acceptance of bio-based packaging in the Italian organic food supply chain. Individual perspectives from a selected group of organic stakeholders (producers, distributors, and researchers) were captured by applying the Q methodology. Two relevant divergent views were identified, as well as consensus agreements. The study shows how Q methodology can effectively discover the most relevant viewpoints about an emerging topic.
Estimation of porosity and volume of shale using artificial intelligence, case study of Kashafrud Gas Reservoir, NE Iran
Authors: Ardebili Pooya Naghizadeh , Jozanikohan Golnaz , Moradzadeh Ali 
Published: December 2023

AbstractThe key problem in oil exploration and engineering is the lack of accurate and reliable data about the reservoir parameters of a field. Having a precise assessment of petrophysical properties can provide the ability to make decisions with a high degree of confidence about planning for production, exploitation, and further field development scenario. In this research, an artificial intelligence (AI)-based approach was developed to improve the estimation of reservoir parameters including porosity and volume of shale, which has a significant role in different stages of hydrocarbon exploration, in the Kashafrud Gas Reservoir in the northeast of Iran. For this purpose, we measured the petrophysical properties of 27 samples of the Kashafrud Formation. To increase the amount of data for employing a multilayer perceptron (MLP) artificial neural network (ANN), a geostatistical algorithm was used to increase the amount of laboratory measured data of porosity and volume of shale to 686 and 702, respectively. In addition, 2263 well-logging data from the same well were provided. The optimal MLP network with the topology of 6-7-1, and 6-8-1 was selected to estimate the porosity and shale volume with mean squared error (MSE) of 2.78731E−4, and 1.28701E−9, respectively. The training process was performed using two different sets of input data. In the first approach, all available well-logging data were used as input, ending up in high MSE. In the second approach, some selected well logs were used based on the results of sensitivity analysis which clearly improved the estimations. The ability of MLP networks made great improvements in the estimation of the both parameters up to 99.9%. The presence of valuable core data in this study significantly improved the process of comparison and conclusion. The final results prove that AI is a trusted method, also the potential of the ANN method for the reservoir characterization and evaluation associated problems should be taken into consideration. Due to the unavailability of core data along the whole wells, the application of intelligent methods, such as machine learning (ML) can be used to estimate the parameters in other oil or gas fields and wells.
From fragmentation to coherence: student experience of assessment for learning
Authors: Arnold Julie , Willis Jill 
Published: December 2023

AbstractStudent experience of Assessment for Learning (AfL) pedagogies ideally provides multiple entry points for students to take past learning forward into future learning. In practice, points of disconnection may confound the accessibility of AfL’s repertoire of practices. This paper investigates the AfL experiences of students with likely language and attentional difficulties and their peers in three Australian secondary schools. Ninety-two students shared their insights in interviews and focus groups, with data analysed abductively through a conceptual frame of six dimensions. Common practical effects for students included recognition and value of a range of teacher practices. Students with language and attentional difficulties indicated more uneven recall of processes, especially when teacher practice of AfL was fragmented and classroom routines prioritised summative assessment. Fragmentation in turn compromised the emotional and evaluative dimensions of experience that catalyse continuity in learning. Critical insights from students about how they searched for and secured cohesive experiences points to how AfL offers agentic possibilities for learning beyond the immediate activities of the classroom.