bluuebunny/crossref_metadata_2025_split huggingface dataset:
Environmental Product Declarations – an extensive collection of availability, EN15804 revision and the ILCD+EPD format
Authors: Stapel E , Tozan B , Sørensen C , Birgisdóttir H 
Published: September 2022

Abstract
The increasing awareness on climate issues in the built environment places a greater responsibility on the different actors to map the building emissions, reduce and optimise the use of materials, and thereby lower the environmental footprint. With several countries enforcing legally binding CO2 limits to assess and benchmark the negative environmental side effects from buildings using the LCA method, it is presumable that practitioners from the industry will look for higher availability of data found from Environmental Product Declarations (EPDs). As the availability of data more than likely will increase drastically over the years, the study provides an extensive look into the world of digitalised EPDs, and how to use the format to extract a comprehensive number of EPD data. The extraction of data from the ECO Platform leads to a total of 1478 entities, and when adding EPDs from EPD Denmark this study scrutinises 1644 EPDs in total, from 4 EPD Program Operators (EPD-POs). The extraction process highlights the need for transparency and more mutual agreements in the documentation methods. Further, the study scratches the surface of the revised European EPD Standard EN15804, and what the changes and the transition will mean for the applicability and transparency in the building sector and for LCA models when the majority of emissions from GWP will increase.
Circular economy digital market solutions for reuse in the European construction sector
Authors: Sivers M , Fröhlich M , Fivet C 
Published: September 2022

Abstract
Focusing on the cross-matching supply and demand for reused building components and related services, the paper analyses existing Digital Reuse Market Solutions (DRMS) in the European construction sector. A collection of 746 DRMS is built from major online circular economy platforms and custom online search queries. A taxonomy of 9 categories and 28 types is then extracted based on the activities of collected DRMS. Nearly half (46%) of collected DRMS are proper dealers of reused building components. Traditional building component dealers and demolition companies account for another third (32.8%). The rest is made of marketplaces, craftmanship, and providers of related services and knowledge. Only 13.4% of all collected DRMS allow online payment for goods or services.
A Pathway to Climate Neutral Buildings: Definitions, Policy and Stakeholder Understanding in Sweden and China
Authors: Wang X , Teigland R , Hollberg A 
Published: September 2022

Abstract
In recent years, ‘climate neutral buildings’ has become one of the most popular emerging terms in the context of global warming and the built environment. However, due to a vague definition, the term still lacks real-world uptake in practice. While initial research focuses on ‘climate neutral buildings’, few have discussed this term from the perspective of different countries or stakeholders. To address this gap, this paper explores the current understanding and future development of the term ‘climate neutral buildings’ in Sweden and China. Through a literature review of related definitions, an investigation of current regulations, and stakeholder interviews in both countries, we find that Sweden and China are in different stages of development towards climate neutral buildings. Sweden seems to surpass China in terms of theoretical research, regulation development and stakeholder understanding. Despite this, the two countries share similar issues regarding the future development of climate neutral buildings. Both countries lack an official interpretation of ‘climate neutral buildings’, sufficient regulations, and collaborations among different stakeholders. This paper suggests a foundation for the future development of climate neutral buildings.
Land use and trip production model in central and peri-urban Semarang to anticipate land use conversion in post pandemic era
Authors: Basuki Y , Rahayu S 
Published: September 2022

Abstract
The development of core and peri-urban Semarang has land use conversion that increases human mobility. If this phenomenon is not well anticipated, it will cause transportation problems such as inefficiency of energy, and pollution. After the pandemic, the urban activity will be normal, and land use conversion will be more extensive again. A transportation model is needed to understand the land use that most influences the movement. This article aims to formulate a mathematical model that can identify land uses that affect trips or movement. To build a model, data on trip production in each village in core and peri-urban Semarang as the dependent variable and the various land use as independent variables. The regression model obtained by D = 0.009 residence + 1432.529 with R2 0.597. in the core of Semarang and D = 0.004 residence – 991.223 with R2 0.791 in peri-urban. The results of this model show that the most influential type in causing trip attraction is residential land use both in peri-urban and in core Semarang with a different coefficient. According to these findings, it requires more attention from the Semarang City Government to regulate land use in anticipation of transportation problems.
A literature review of dual disaster challenges for resilient office building toward reducing disaster risks
Authors: Zakaria N H , Tobi S U M , Othman N 
Published: September 2022

Abstract
Flood is acknowledged as the most common natural disaster in several parts of the globe. For Malaysia, flood is considered as the most frequent natural disaster, with the frequency of at least once a year. The risks of flood can be seen through property loss and damages, infrastructure casualties, and disruption to socio-economic activities. Adding to that, Malaysia also faced the flood during the pandemic when it hit several states, namely Pahang, Johor, and Kelantan, during the monsoon season in 2020 and 2021, amid the rising cases of Covid-19. The ongoing COVID-19 pandemic has posed significant challenges for disaster response, calling for the “new norms” to be quickly established for better disaster risk reduction. Several mitigation strategies have been taken by the government to reduce the risks of floods in Malaysia. As office buildings possess important roles in delivering effective services to the public while maintaining their critical documents, this paper focuses on providing related literature on building resilience. Having an early understanding of the core elements of office building resilience in dual disaster challenges will provide the basis for further investigation in the later stage of data collection.
Climate Change Impact on the Coastal Settlement Quality and the Relation with the Attainment of Semarang Healthy City
Authors: Dewi Santy Paulla , Wungo Grandy Loranessa , Susanti Retno , Sariffuddin Sariffuddin 
Published: September 2022

Abstract
Climate change affects the increase in air temperature, making the dry season hotter and the humidity decrease; the difficulty of obtaining clean water and high rainfall makes the frequency of tidal waves and floods higher. This situation is placed in Tanjung Mas, a coastal village in Semarang City. Tidal flood worsens the environmental quality of community settlements, coupled with poor water quality, high population density, and unhabitable housing, making the risk of transmission of both water-borne and vector-borne diseases surge. The situation above reflects that achieving healthy city efforts is challenging for the Semarang City government and the community because of climate change. Hence, this study reveals the impact of climate change on the settlement quality that influences the healthy city achievement. This study uses qualitative methods that rely on secondary data from the government agencies’ websites and the internet. The analysis results showed that the quality of settlements in Tanjung Mas has decreased along with climate change. The community, especially the elderly and children, are also increasingly susceptible to exposure to diseases, as indicated by significant cases of diarrhea and pneumonia. Therefore, achieving a healthy city from the settlements and healthy infrastructure indicators is still not optimal.
Bioretention Basin, Rain Garden, and Swales Track Concepts through Vegetated-WSUD: Sustainable Rural Stormwater Management in Klaten Regency
Authors: Ristianti Novia Sari , Bashit Nurhadi , Ulfiana Desyta , Windarto Yudi Eko 
Published: September 2022

Abstract
The rural area is one area with a vital function as a food producer towards food security which urgently needs sustainable stormwater management. However, the challenge of sustainable stormwater management is climate change. WSUD is one of the most influential sustainable stormwater because WSUD can control the hydrological cycle and water quality through local facilities. Vegetated WSUD is a practical application of WSUD in regulating stormwater management because it is easy to apply. Vegetated-WSUD consists of a bioretention basin, rain garden, and swales track. Klaten Regency is an area in the province of Central Java that is ranked 9th in the highest drought level in Indonesia, and eleven sub-districts are prone to flooding. On the other hand, Klaten Regency is the largest producer of rice suppliers in Central Java which requires sustainable stormwater management. The research aims to formulate a design simulation model through bioretention, rain garden, and swales track through WSUD to achieve sustainable rural stormwater management. The research method used is quantitative with map overlay and design mapping. The research outputs determine the location feasibility and design model application of vegetated-WSUD in the Klaten Regency. The two-dimensional and three-dimensional design model consists of space requirements, placement, and vegetation types from each bioretention basin, rain garden, and swales track.
Revealing Cost and Benefit of Vegetative Approach to Mitigate Riverbank Landslide in Semarang Coastal Villages
Authors: Dewi S P , Kurniati R 
Published: September 2022

Abstract
Landslide mitigation efforts through a vegetative approach have not been entrenched in the community, including in Semarang Coastal Villages. This condition happened due to several things, such as the lack of public understanding about the importance of reforesting river borders, the lack of understanding of reforestation, and the unclear benefits the community of river reforestation will receive. Although no specific approach can prevent landslides, the vegetative approach is one of the prevention strategies that tend to be easy to do and has a low cost. Therefore, the vegetative approach is a feasible strategy to be proposed, where the current government is also encouraging the application of this approach to prevent landslides as well as community empowerment. This study aims to identify the costs and benefits of implementing a vegetative approach to prevent landslides in the coastal area of Semarang City, knowing the socio-economic benefits the community may receive from the vegetative approach. It is hoped that it can increase community participation, especially among the local coastal people in Semarang City, which belong to the middle to lower economic community. The analytical method used is the cost-benefit analysis method by comparing the number of benefits and costs studied from the implementation process of the vegetative approach from beginning to maintenance. The data used in this study is secondary data such as existing land use, river border area, plant species, and population. The expected result is the feasibility of applying a vegetative approach in riverbank areas that compares the number of social and economic benefits and socio-economic costs. By knowing the feasibility, it can also be determined how the socio-economic capacity of the community to implement the approach.
Severe Arboviral Neuroinvasive Disease in Patients on Rituximab Therapy: A Review
Authors: Kapadia Ronak K , Staples J Erin , Gill Christine M , Fischer Marc , Khan Ezza , Laven Janeen J , Panella Amanda , Velez Jason O , Hughes Holly R , Brault Aaron , Pastula Daniel M , Gould Carolyn V 
Published: September 2022

AbstractWith increasing use of rituximab and other B-cell depleting monoclonal antibodies for multiple indications, infectious complications are being recognized. We summarize clinical findings of patients on rituximab with arboviral diseases identified through literature review or consultation with the Centers for Disease Control and Prevention. We identified 21 patients on recent rituximab therapy who were diagnosed with an arboviral disease caused by West Nile, tick-borne encephalitis, eastern equine encephalitis, Cache Valley, Jamestown Canyon, and Powassan viruses. All reported patients had neuroinvasive disease. The diagnosis of arboviral infection required molecular testing in 20 (95%) patients. Median illness duration was 36 days (range, 12 days to 1 year), and 15/19 (79%) patients died from their illness. Patients on rituximab with arboviral disease can have a severe or prolonged course with an absence of serologic response. Patients should be counseled about mosquito and tick bite prevention when receiving rituximab and other B-cell depleting therapies.
Non-hyperaemic assessment of coronary ischaemia: application of machine learning techniques
Authors: Cameron James N , Comella Andrea , Sutherland Nigel , Brown Adam J , Phan Thanh G 
Published: September 2022

AbstractAimsHyperaemic and non-hyperaemic pressure ratios (NHPR) are routinely used to identify significant coronary lesions. Machine learning (ML) techniques may help better understand these indices and guide future practice. This study assessed the ability of a purpose-built ML algorithm to classify coronary ischaemia during non-hyperaemia compared with the existing gold-standard technique (fractional flow reserve, FFR). Further, it investigated whether ML could identify components of coronary and aortic pressure cycles indicative of ischaemia.Methods and resultsSeventy-seven coronary vessel lesions (39 FFR defined ischaemia, 53 patients) with proximal and distal non-hyperaemic pressure waveforms and FFR values were assessed using supervised and unsupervised learning techniques in combination with principal component analysis (PCA). Fractional flow reserve measurements were obtained from the right coronary artery (13), left anterior descending (46), left circumflex (11), left main (1), obtuse marginal (2), and diagonal (4). The most accurate supervised learning classification utilized whole-cycle aortic with diastolic distal blood pressure waveforms, yielding a classification accuracy of 86.9% (sensitivity 86.8%, specificity 87.2%, positive predictive value 86.8%, negative predictive value 87.2%). Principal component analysis showed subtle variations in coronary pressures at the start of diastole have significant relation to ischaemia, and whole-cycle aortic pressure data are important for determining ischaemia.ConclusionsOur ML algorithm classifies significant coronary lesions with accuracy similar to previous studies comparing time-domain NHPRs with FFR. Further, it has identified characteristics of pressure waveforms that relate to function. These results provide an application of ML to ischaemia requiring only standard data from non-hyperaemic pressure measurements.
Association of METS-IR with incident hypertension in non-overweight adults based on a cohort study in Northeastern China
Authors: Xu Chengyin , Song Guirong , Hu Dongmei , Li Guorong , Liu Qigui , Tang Xiao 
Published: September 2022

Abstract

Background
Insulin resistance (IR) plays an important role in the progression of hypertension (HTN); therefore, early identification of IR is clinically important for preventing HTN. Our study aims to explore the relationship between the metabolic score for IR (METS-IR) and HTN in Chinese population who maintained non-overweight.

Methods
A total of 4678 adults who underwent annual health check-up in our institution from 2010 to 2017, did not have HTN at the first check-up and maintained non-overweight at follow-up were selected as subjects. The baseline METS-IR was calculated and the outcome was incident HTN. Cox proportional hazards regression models were used to evaluate hazards ratios of HTN for METS-IR. Additionally, sensitive analyses and stratification analyses were used to deeply verify the relationship of METS-IR with HTN. The dose–response association between METS-IR and HTN risk was investigated using restricted the cubic spline analysis fitted for the Cox proportional hazards model.

Results
Compared with the first quartiles of METS-IR, the risk of incident HTN was increased by 58% [hazard ratio (HR) 1.58, 95% confidence interval (CI) 1.12–2.22] and 96% (HR 1.96, 95% CI 1.40–2.76) in the Q3 group and the Q4 group, respectively. The results remained consistent when analyses were restricted to people without abnormal high-density lipoprotein cholesterol, triglyceride or fasting plasma glucose level at baseline. A linear dose–response relationship between METS-IR and HTN risk was identified (HR 1.08, 95% CI 1.04–1.12).

Conclusions
The risk of incident HTN was associated with elevated METS-IR levels in non-overweight individuals. METS-IR could help predict the risk of HTN in non-overweight individuals.
Genetic screens identified dual roles of microtubule-associated serine threonine kinase and CREB within a single thermosensory neuron in the regulation of Caenorhabditis elegans thermotaxis behavior
Authors: Nakano Shunji , Nakayama Airi , Kuroyanagi Hiroo , Yamashiro Riku , Tsukada Yuki , Mori Ikue 
Published: September 2022

Abstract
Animals integrate sensory stimuli presented at the past and present, assess the changes in their surroundings and navigate themselves toward preferred environment. Identifying the neural mechanisms of such sensory integration is pivotal to understand how the nervous system generates perception and behavior. Previous studies on thermotaxis behavior of Caenorhabditis elegans suggested that a single thermosensory neuron AFD plays an important role in integrating the past and present temperature information and is essential for the neural computation that drives the animal toward the preferred temperature region. However, the molecular mechanisms by which AFD executes this neural function remained elusive. Here we report multiple forward genetic screens to identify genes required for thermotaxis. We reveal that kin-4, which encodes the C. elegans homolog of microtubule-associated serine threonine kinase, plays dual roles in thermotaxis and can promote both cryophilic and thermophilic drives. We also uncover that a thermophilic defect of mutants for mec-2, which encodes a C. elegans homolog of stomatin, can be suppressed by a loss-of-function mutation in the gene crh-1, encoding a C. elegans homolog CREB transcription factor. Expression of crh-1 in AFD restored the crh-1-dependent suppression of the mec-2 thermotaxis phenotype, indicating that crh-1 can function in AFD to regulate thermotaxis. Calcium imaging analysis from freely moving animals suggest that mec-2 and crh-1 regulate the neuronal activity of the AIY interneuron, a postsynaptic partner of the AFD neuron. Our results suggest that a stomatin family protein can control the dynamics of neural circuitry through the CREB-dependent transcriptional regulation within a sensory neuron.
High levels of genetic diversity and population structure in the Mediterranean seagrass Posidonia oceanica at its easternmost distribution limit
Authors: Tutar Ozge , Ruocco Miriam , Dattolo Emanuela , Lacorata Guglielmo , Corrado Raffaele , Watteaux Romain , Iudicone Daniele , Fach Bettina , Procaccini Gabriele 
Published: September 2022

Abstract
High levels of genetic diversity and connectivity are crucial for the persistence of local populations, especially at the edge of species’ distribution ranges. Here, we assessed the potential and realized connectivity of populations of the Mediterranean seagrass Posidonia oceanica at its easternmost distribution using physical modelling and genetic analyses. Genetic assessments of diversity and gene flow among populations were carried out with 18 microsatellite loci, while oceanographic connectivity was assessed via Lagrangian dispersal simulations. Levels of genetic and clonal diversities were prevalent among shallow and deep sites without signs of reproductive isolation. Both approaches identified two main clusters corresponding to “Aegean” populations along the western Turkey coast and “Levantine” populations along the southern Turkey coast. Aegean populations were genetically homogeneous, connected by high levels of gene flow, whereas Levantine populations were genetically heterogeneous. Within-sea patterns of genetic connectivity did not fully overlap with those derived from physical modelling; the realized connectivity was greater than that predicted by ocean-current simulations, especially in the Aegean Sea. Lagrangian dispersion dynamics cannot necessarily explain genetic connectivity patterns among populations, which are shaped over longer temporal scales and can be affected by human activities and local environmental conditions.
Forensic DNA phenotyping in Europe: How far may it go?
Authors: Zieger Martin 
Published: September 2022

Abstract
The fast evolution of genetic sequencing techniques led to new applications in forensic genetics, one of these being the prediction of the physical appearance of a possible perpetrator from biological traces found at the crime scene. Some European countries recently changed their legislations, to permit this technique, also known as Forensic DNA Phenotyping (FDP). The phenotypical traits that may be analyzed under those revised domestic laws are usually restricted to include no information about the suspect’s health. This article elaborates whether the European legal framework, as set by the Council of Europe and the European Union (EU), defines any boundaries for the analytical scope of FDP. After a brief introduction to FDP and a description of the type of data collected through predictive forensic genetics, this article discusses the relevant European legislation and the case law of the European Court of Human Rights (ECtHR) and the Court of Justice of the European Union (CJEU) around privacy, data protection and the use of genetic data. The article attempts to define possible limits for forensic genetic analysis, by eventually trying to predict the jurisprudence of the two European courts.
Massive emphysematous pancreatitis associated with duodenal microperforation
Authors: van der Mark Michael , Hartslief Merwe 
Published: September 2022

Abstract
Emphysematous pancreatitis (EP) is a rare variant of necrotizing pancreatitis which may result from bacterial superinfection of pancreatic tissue with gas-forming organisms such as Escherichia coli and Klebsiella pneumoniae. Gas formation is a consequence of mixed acid fermentation by these species, which may colonize the inflamed pancreatic tissue by intestinal translocation, hematogenous spread or direct seeding by penetrating ulcer. Previously described cases of EP associated with penetrating ulcer are exceedingly rare and typified by focal emphysema confined to the site of fistulation, often the head of pancreas. We present a case of massive emphysematous pancreatitis with pseudoaneurysm involvement and associated duodenal microperforation. Furthermore, we describe the successful operative management of this patient, who remains well in the community.