bluuebunny/crossref_metadata_2025 huggingface dataset:
Creation of a Virtual Museum for the Dissemination of 3D Models of Historical Clothing
Authors: Meier Cecile , Berriel Isabel Sanchez , Nava Fernando Pérez
Published: November 2021

Museums have been the main centers for the dissemination of cultural heritage throughout history. In recent years, they have been increasingly digitizing their content, so that it is now common for each museum to have free digital content available on the Web. This can be photographs of the works with detailed information or even objects created in three dimensions. It is also common to find virtual museums, which might be a representation of an existing museum that has been digitized or a museum created only in digital format. This paper describes the creation of a virtual museum of Spanish clothing from the 16th century, one that exists only in digital format, accessible from a computer or digital tablet. In order to create the museum, various documentation and drawings or pictures of the clothing of that time were studied. The costumes were then created in a specialized 3D costume-modeling program called Marvelous Designer. A 3D model of the exhibition hall was created in Blender, and finally, everything was assembled in the Unity videogame engine, where the interactive part was also added, allowing the virtual visitors to walk through the hall as if they were visiting a real museum.
Assessing Rainwater Harvesting Potential in Urban Areas: A Building Information Modelling (BIM) Approach
Authors: Maqsoom Ahsen , Aslam Bilal , Ismail Sharjeel , Thaheem Muhammad Jamaluddin , Ullah Fahim , Zahoor Hafiz , Musarat Muhammad Ali , Vatin Nikolai Ivanovich
Published: November 2021

Water scarcity has become a major problem for many countries, resulting in declining water supply and creating a need to find alternative solutions. One potential solution is rainwater harvesting (RwH), which allows rainwater to be stored for human needs. This study develops an RwH assessment system through building information modeling (BIM). For this purpose, a hydrological study of Cfa-type climate cities is conducted with the example of Islamabad, Pakistan. The monthly rainfall data of three sites were assessed to determine the volume of the accumulated rainwater and its potential to meet human needs. The average number of people living in a house is taken as the household number. Household number or of the number of employees working at a small enterprise, roofing material, and rooftop area are used as the key parameters for pertinent assessment in the BIM. The data simulated by BIM highlight the RwH potential using five people per house as the occupancy and a 90 m2 rooftop area for residential buildings or small enterprises as parameters. The results show that the selected sites can collect as much as 8,190 L/yr of rainwater (48 L/person/day) to 103,300 L/yr of rainwater (56 L/person/day). This much water is enough to fulfill the daily demands of up to five people. Therefore, it is established that the study area has an RwH potential that is able to meet the expected demands. This study presents a baseline approach for RwH to address water scarcity issues for residential buildings and factories of the future.
Characterization and Cause Analysis of Shallow Groundwater Hydrochemistry in the Plains of Henan Province, China
Authors: Sun Jian , Yan Baizhong , Li Yao , Sun Huixiao , Wang Yahui , Chen Jiaqi
Published: November 2021

With the development of the human population and society, groundwater environmental problems have become an important factor limiting global socioeconomic development, and the study of groundwater hydrochemical characteristics and pollution is a current hot issue. In this study, data regarding shallow groundwater quality in 76 instances were used to evaluate the quality of shallow groundwater in the plains of Henan Province, China, by using a combination of subjective and objective assignments, mathematical statistics, Piper trilinear diagram, Gibbs diagram, ion ratio analysis, and other methods to study the hydrochemical characteristics of groundwater and its formation mechanism. The results showed that the groundwater quality in most areas of Henan Plain is in good condition, and the proportion of samples with excellent grades and good grades is as high as 43.42% and 35.53%. The range of poor and extremely poor water quality is small, and only five samples are judged as poor and extremely poor grades, mainly distributed in Jiaozuo City, Xinxiang City, Zhoukou City, and Puyang City. The groundwater anionic hydrochemistry is mainly of the HCO3 type, accounting for 61.84% of the samples and locally transformed downstream to HCO3·SO4, HCO3·SO4·Cl, HCO3·Cl·SO4, and Cl·SO4·HCO3. Cations are predominantly of the Ca/Mg and Ca–Mg/Mg–Ca type, and gradually transformed to the Na–Ca/Ca–Na and Na–Mg/Mg–Na type along the runoff direction. Water–rock interactions and anthropogenic factors dominate the hydrochemistry evolution, with major geochemical processes involving the precipitation of calcite and dolomite as well as the weathering dissolution of rock salt and fluorite. Human activity is an important factor affecting the distribution of NO3–N and Fe3+. It is recommended that groundwater be continuously monitored to provide scientific data for sustainable groundwater quality management and that appropriate measures be developed to prevent further degradation of the groundwater environment.
Microplastics in Sewage Sludge: A Known but Underrated Pathway in Wastewater Treatment Plants
Authors: Collivignarelli Maria Cristina , Carnevale Miino Marco , Caccamo Francesca Maria , Milanese Chiara
Published: November 2021

Interest in the presence of microplastics (MPs) in wastewater has grown significantly in recent years. In fact, wastewater treatment plants (WWTPs) represent the last barrier before the discharge of MPs into an aquatic ecosystem. The research has highlighted how MPs are in part effectively removed from the waters and accumulated inside the sewage sludge (SeS) produced by the WWTP, being a cause for concern, especially in the case of agricultural reuse. This work aims to analyze the existing literature on the (i) methodical procedure for MPs analysis (thermal, spectroscopic, optical analyses), (ii) qualitative and quantitative presence of MPs in SeS, (iii) effect on sludge properties, and (iv) the possible accumulation in amended soils. Based on the results already obtained in the literature, this work aims to provide critical insights to stimulate interest in the topic and direct future research on aspects that should be deepened. In particular, it emerges that there is a clear need for standardization of the collection methods and the analytical techniques for identifying and quantifying MPs, since their physico-chemical characterization and the study on aging and on the response towards acid or basic pre-treatments are fundamental for the understanding of microplastics ecotoxicological potential.
Electrochemical Investigations of BaCe0.7-xSmxZr0.2Y0.1O3-δ Sintered at a Low Sintering Temperature as a Perovskite Electrolyte for IT-SOFCs
Authors: Irshad Muneeb , Khalid Mehak , Rafique Muhammad , Tabish Asif Nadeem , Shakeel Ahmad , Siraj Khurram , Ghaffar Abdul , Raza Rizwan , Ahsan Muhammad , Ain Quar tul , Ain Qurat ul
Published: November 2021

Perovskite materials have gained a lot of interest in solid oxide fuel cell (SOFC) applications owing to their exceptional properties; however, ideal perovskites exhibit proton conduction due to availability of low oxygen vacancies, which limit their application as SOFC electrolytes. In the current project, Sm was doped at the B-site of a BaCe0.7-xSmxZr0.2Y0.1O3-δ perovskite electrolyte for intermediate-temperature solid oxide fuel cells (IT-SOFCs). BaCe0.7-xSmxZr0.2Y0.1O3-δ electrolytes were synthesized through a cost-effective coprecipitation method and were sintered at a low sintering temperature. The effects of samarium (Sm) doping on the electrochemical performance of BaCe0.7-xSmxZr0.2Y0.1O3-δ were investigated. X-ray diffraction (XRD) analysis confirmed that the BaCe0.7-xSmxZr0.2Y0.1O3-δ electrolyte material retained the perovskite structure. The secondary phase of Sm2O3 was observed for BaCe0.4Sm0.3Zr0.2Y0.1O3-δ. Scanning electron microscopic (SEM) imaging displayed the dense microstructure for all the compositions, while prominent crystal growth was observed for composition x = 0.3. The formation of the perovskite structure and the presence of the hydroxyl groups of metal oxides for all the compositions were confirmed by Fourier transform infrared spectroscopy (FTIR). An increased symmetrical disturbance was also observed for the increased doping ratio of the Sm. Thermogravimetric analysis (TGA) of all the compositions showed no major weight loss in the SOFC operating temperature range. It was also noted that the conductivity of BaCe0.7-xSmxZr0.2Y0.1O3-δ gradually decreased with the increased contents of the Sm metal. The maximum power density of 390 mW cm−2, and an open-circuit voltage (OCV) of 1.0 V at 600 °C, were obtained, showing that BaCe0.7-xSmxZr0.2Y0.1O3-δ, synthesized by a cost-effective method and sintered at a low temperature, can be used as a proton-conducting electrolyte for IT-SOFCs.
Shaping Digital Ecosystems for Sustainable Production: Assessing the Policy Impact of the 2030 Vision for Industrie 4.0
Authors: Sautter Björn
Published: November 2021

How can we effectively shape digital ecosystems for sustainable production in line with the Sustainable Development Goals of the United Nations? The German Plattform Industrie 4.0 has developed a vision for 2030 entitled “Shaping Digital Ecosystems Globally” with sustainability as one of three key pillars. Based on this vision, three development paths towards a digital, networked and sustainable manufacturing industry of the future were identified and further concretized with corresponding scenarios and business use cases. This article assesses this participatory approach of jointly thinking and shaping futures, with a particular focus on outcomes and policy impacts. A specific focus is placed on the involved and addressed public and private stakeholders, industry and policy sectors, and governance levels. The study shows that the 2030 Vision for Industrie 4.0 is a good example of how broad policy impacts can be achieved by taking a multi-actor, multi-sector and multi-level approach. Based on some practical implications for designing collaborative manufacturing networks in digital ecosystems, the article concludes with a call for collective action towards the Sustainable Development Goals to be achieved by the year 2030.
An Investigation of a Supply Chain Model for Co-Ordination of Finished Products and Raw Materials in a Production System under Different Situations
Authors: Singh Dharamender , Jayswal Anurag , Alharbi Majed G. , Shaikh Ali Akbar
Published: November 2021

In the production system, the production of a perfect item is essential for existing competitive market situations. To produce a perfect finished product, the quality of a raw material is a crucial issue of a production system. This paper has examined this issue with an insightful production-inventory model of the manufacturer of a deteriorating item selling goods to multiple markets with different selling seasons. We have provided an answer strategy to track down the optimal production plan for raw materials and the ideal creation plan for completed items. Transportation cost was incorporated for transporting the raw material. Marketing of the finished product is another crucial factor for selling products and earning revenues. The main objective of the present study is to adopt a production model in inventory for inferring request capacities for multi-item, multi-outlet circumstances. As of late, much accentuation has been given to the consideration of the control and support of creation inventories of disintegrating things. The demand rate is persistent and holding cost is a direct function of time. This paper has followed an analytical approach to diminish the entire inventory cost. Finally, a sensitivity analysis was performed to study the effect of changes of different parameters of the model on the optimal policy. Moreover, in order to approve the determined models, we have clarified mathematical models and examined affectability.
Effect of Polypropylene Fibers on the Shear Strength–Dilation Behavior of Compacted Lateritic Soils
Authors: Silveira Maitê Rocha , Rocha Sabrina Andrade , Correia Natália de Souza , Rodrigues Roger Augusto , Giacheti Heraldo Luiz , Lodi Paulo César
Published: November 2021

The stress–dilatancy relationship for fiber-reinforced soils has been the focus of recent studies. This relationship can be used as a foundation for the development of constitutive models for fiber-reinforced soils. The present study aims to investigate the effect of recycled polypropylene fibers on the shear strength–dilation behavior of two lateritic soils using the stress–dilatancy relationship for direct shear tests. Results show that fibers improved the shear strength behavior of the composites, observed by increases in the friction angle. Fibers’ orientation at the sheared interface could be observed. The volumetric change during shearing was altered by the presence of fibers in both soils. Overall, results indicate that the stress–dilatancy relationship is affected by inclusions in the soil mix. Results can be used to implement constitutive modeling for fiber-reinforced soils.
Developing a Decision-Making Framework for Regenerative Precinct Development
Authors: Craft William , Ding Lan , Prasad Deo
Published: November 2021

The consequences of the extractive and disconnected relationship with nature that has dominated past and current sustainability approaches are now being witnessed. A harmonious relationship with nature needs to be reestablished to guide how we can live, act and respond to the global climate emergency. Regenerative development has emerged as a process which enables the reconnection between human and natural systems to create the necessary conditions for a healthy and thriving future. While several frameworks and tools have been developed to support the implementation of regenerative development practices, few deal specifically with decision-making and its associated challenges and opportunities. Responding to this, the purpose of this paper is to present the development of a novel decision-making framework for regenerative precinct development. It is an evidence-based framework established from the key findings of a qualitative case study investigation into the decision-making approaches of regenerative precinct developments. It is a visual guiding framework that poses challenging questions to enable decision-makers to structure and align their thinking, decisions and actions with the fundamental principles of regenerative development. This paper discusses the framework’s development, its key features and theoretical basis, and its potential to influence decision-making practices towards regenerative development.
Data-Driven Methodology for Coliving Spaces and Space Profiling Based on Post-Occupancy Evaluation through Digital Trail of Users
Authors: Regodon Alicia , Armand Maxime , Lastres Carmen , De Pedro Jose , García-Santos Alfonso
Published: November 2021

Sustainable spaces are those that are optimized, accessible, promote user experience and aim to reduce CO2 emissions while enhancing users’ well-being and comfort. The purpose of this paper is to present a methodology that was developed during the COVID-19 pandemic to understand and improve the use of coliving spaces based on remote Post-Occupancy Evaluation (POE) analysis of the digital trail generated by the users. Applying the POE methodology based on data collection from IT infrastructure enabled to identify opportunities to improve the future design of human-centered spaces. The residential market, design-wise traditional for centuries, is now facing a high-speed adaptation to the changing needs, accelerated by the COVID-19 crisis. New ways of living and shared spaces like Coliving are escalating. Technology is both an enabler of this shift in housing and the solution to operating and managing these new buildings. This paper demonstrates, through the case study of a Coliving space located in Madrid, Spain, the benefits of implementing data analysis of the digital trail collected from in-built IT systems such as smart locks, Wi-Fi networks and electric consumption devices. The conclusion is that analysing the available data from the digital infrastructure of coliving buildings can enable practitioners to improve the future design of residential spaces.
Evaluation the WRF Model with Different Land Surface Schemes: Heat Wave Event Simulations and Its Relation to Pacific Variability over Coastal Region, Karachi, Pakistan
Authors: Dilawar Adil , Chen Baozhang , Guo Lifeng , Liu Shuan , Shafeeque Muhammad , Arshad Arfan , Hussain Yawar , Qureshi Muhammad Ateeq , Kayiranga Alphonse , Wang Fei , Measho Simon , Zhang Huifang
Published: November 2021

This study investigates the relative role of land surface schemes (LSS) in the Weather Research and Forecasting (WRF) model, Version 4, to simulate the heat wave events in Karachi, Pakistan during 16–23 May 2018. The efficiency of the WRF model was evaluated in forecasting heat wave events over Karachi using the three different LSS, namely NOAH, NOAH-MP, and RUC. In addition to this we have used the longwave (RRTM) and shortwave (Dudhia) in all schemes. Three simulating setups were designed with a combination of shortwave, longwave, and LSS: E1 (Dudhia, RRTM, and Noah), E2 (Dudhia, RRTM, and Noah-MP), and E3 (Dudhia, RRTM, and RUC). All setups were carried out with a finer resolution of 1 km × 1 km. Findings of current study depicted that E2 produces a more realistic simulation of daily maximum temperature T(max) at 2 m, sensible heat (SH), and latent heat (LH) because it has higher R2 and lower errors (BIAS, RMSE, MAE) compared to other schemes. Consequently, Noah-MP (LSS) accurately estimates T(max) and land surface heat fluxes (SH&LH) because uses multiple physics options for land atmosphere interaction processes. According to statistical analyses, E2 setup outperforms other setups in term of T(max) and (LH&SH) forecasting with the higher Nash-Sutcliffe efficiency (NSE) agreement is 0.84 (0.89). This research emphasizes that the selection of LSS is of vital importance in the best simulation of T(max) and SH (LH) over Karachi. Further, it is resulted that the SH flux is taking a higher part to trigger the heat wave event intensity during May 2018 due to dense urban canopy and less vegetated area. El Niño-Southern Oscillation (ENSO) event played role to prolong and strengthen the heat wave period by effecting the Indian Ocean Dipole (IOD) through walker circulation extension.
Towards the Energy Transition of the Building Stock with BIPV: Innovations, Gaps and Potential Steps for a Widespread Use of Multifunctional PV Components in the Building Envelope
Authors: D’Ambrosio Valeria , Losasso Mario , Tersigni Enza
Published: November 2021

The scenario that emerges from scientific research on the use of BIPV systems in architecture shows that photovoltaic technologies and systems have reached a significant development in production and installation, becoming a strategic approach in the field of energy efficiency and enabling a progressive decarbonisation of the building stock. Still, knowledge and methods of architectural integration are not fully developed, especially in Italy. The present paper reports the results of a research activity that, systematising the main criteria and indicators for assessing the integrability of BIPVs in architecture, has led to the development of BIPV Product and Case Study Catalogues that define an up-to-date state of the art on aspects of design and technological innovation using BIPV systems and components. Catalogues have been created with the objective of contributing to the growth of knowledge on the most up-to-date methods of design by implementing a ‘technology transfer’ from good practice, in which photovoltaic systems are an integral part of the design concept and construction techniques of the architecture. The analysis related to the production of BIPV systems and components and their application in architectural projects allows one to highlight the main critical factors in the diffusion throughout the country and to identify the main research demand arising from the specific national situation.
The Transformation Process of the University into a Data Driven Organisation and Advantages It Brings: Qualitative Case Study
Authors: Carnicero Ignacio , González-Gaya Cristina , Rosales Víctor F.
Published: November 2021

The use of data in decision-making has become prevalent in all sectors, including education. The present paper analyses the steps necessary for a university to become a data-driven organisation and the advantages this transformation has to offer, both in teaching and in management. A qualitative case study methodology was used with a thematic inductive analysis with two groups of participants. The results are a methodology for transformation, identifying the barriers that may arise and actions necessary to overcome them and the advantages the use of data has to offer the university.
Application of the Coastal Hazard Wheel for Coastal Multi-Hazard Assessment and Management in the Guang-Dong-Hongkong-Macao Greater Bay Area
Authors: Su Qianxin , Li Zhiqiang , Li Gaocong , Zhu Daoheng , Hu Pengpeng
Published: November 2021

The coasts of Guangdong-Hong Kong-Macao Greater Bay Area (GBA) are facing threats and challenges from rising sea levels, frequent extreme events and human intervention. In this study, the Coastal Hazard Wheel (CHW) was used to classify the coasts of GBA, assess its hazard change from 2010 to 2020, identify hazards hotspots and explore available coastal management options. The results show that the coastal types of GBA in 2010 and 2020 are consistent, with delta/low estuary island and hard rock slope as the main types. GBA is vulnerable to ecosystem disruption, saltwater intrusion, gradual inundation and flooding hazards. Compared with 2010, the high risk proportion of each hazard in 2020 decreased significantly, but the high risk of flooding increased slightly. All kinds of hazards are interdependent and influenced by each other. The Pearl River Estuary, the east bank of Yamen Waterway, the west bank of Huangmao Sea and Dapeng Bay show very high hazard vulnerability, and the flooding risk is the highest. Soft measures such as coastal zoning, tsunami warning systems, wetland restoration and hazard simulation are most widely used in coastal management. CHW is applicable to GBA’s coastal hazard vulnerability assessment, which provides a case study for coastal risk assessment of GBA and has certain reference significance for hazard management and sustainable development for the Bay Area.
An Empirical Study on How Livestreaming Can Contribute to the Sustainability of Green Agri-Food Entrepreneurial Firms
Authors: Wang Mengmeng , Fan Xue
Published: November 2021

During the COVID-19 pandemic, digital technology has been used in all aspects of the agricultural field. How to seize the opportunity to achieve the production-marketing connection is increasingly becoming a top concern for green agri-food enterprises. Based on the theory of a task–technology fit, this study analyzes the fitness between livestreaming e-commerce and green agri-food. More specifically, the task characteristics cover the seasonality, locality, and eco-friendliness of green agri-food, and the technology characteristics cover the responsiveness, interactivity, and entertainment of livestreaming e-commerce. Using data of a sample of 574 green agri-food entrepreneurial firms collected through a web-based questionnaire, we preform structural equation modeling (SEM) analysis and find that the locality and eco-friendliness of green agri-food, the responsiveness, interactivity, and entertainment of livestreaming e-commerce have a positive effect on the fit of green agri-food livestreaming e-commerce. Moreover, the fit of green agri-food livestreaming has a positive effect on firm performance and the intention to adopt livestreaming e-commerce. This study also demonstrates that perceived corporate social responsibility has a moderating effect on the relationship between the fit of livestreaming of green agri-food and the intention to adopt livestreaming e-commerce. This study extends prior research on the task–technology fit into livestreaming e-commerce companies and provides insights into our understanding of successful adoption of livestreaming e-commerce.
New Oscillation Results of Even-Order Emden–Fowler Neutral Differential Equations
Authors: Althubiti Saeed , Aldawish Ibtisam , Awrejcewicz Jan , Bazighifan Omar
Published: November 2021

The objective of this study is to establish new sufficient criteria for oscillation of solutions of even-order delay Emden-Fowler differential equations with neutral term rıyı+mıygın−1γ′+∑i=1jqiıyγμiı=0. We use Riccati transformation and the comparison with first-order differential inequalities to obtain theses criteria. Moreover, the presented oscillation conditions essentially simplify and extend known criteria in the literature. To show the importance of our results, we provide some examples. Symmetry plays an essential role in determining the correct methods for solutions to differential equations.
Entropy as Measure of Brain Networks’ Complexity in Eyes Open and Closed Conditions
Authors: Vecchio Fabrizio , Miraglia Francesca , Pappalettera Chiara , Orticoni Alessandro , Alù Francesca , Judica Elda , Cotelli Maria , Rossini Paolo Maria
Published: November 2021

Brain complexity can be revealed even through a comparison between two trivial conditions, such as eyes open and eyes closed (EO and EC respectively) during resting. Electroencephalogram (EEG) has been widely used to investigate brain networks, and several non-linear approaches have been applied to investigate EO and EC signals modulation, both symmetric and not. Entropy is one of the approaches used to evaluate the system disorder. This study explores the differences in the EO and EC awake brain dynamics by measuring entropy. In particular, an approximate entropy (ApEn) was measured, focusing on the specific cerebral areas (frontal, central, parietal, occipital, temporal) on EEG data of 37 adult healthy subjects while resting. Each participant was submitted to an EO and an EC resting EEG recording in two separate sessions. The results showed that in the EO condition the cerebral networks of the subjects are characterized by higher values of entropy than in the EC condition. All the cerebral regions are subjected to this chaotic behavior, symmetrically in both hemispheres, proving the complexity of networks dynamics dependence from the subject brain state. Remarkable dynamics regarding cerebral networks during simple resting and awake brain states are shown by entropy. The application of this parameter can be also extended to neurological conditions, to establish and monitor personalized rehabilitation treatments.
Presence of Arsenic in Potential Sources of Drinking Water Supply Located in a Mineralized and Mined Area of the Sierra Madre Oriental in Mexico
Authors: Escot-Espinoza Victor Manuel , Ramos-Arroyo Yann Rene , Lázaro Isabel , Montes-Avila Isidro , Carrizalez-Yañez Leticia , Briones-Gallardo Roberto
Published: November 2021

Mine wastes from the La Aurora mine in the state of Guanajuato were generated by the flotation process and placed in four tailing dumps on the local stream while the plant operated. Given that these wastes contain toxic elements, it is important to establish their impact on the quality of several surrounding natural sources of water that are considered potential drinking water supplies. This study identified four water source types, in which the contents of arsenic (As), mercury (Hg), and thallium (Tl) were exceeded, according to international guideline values for drinking water quality. The first type of aqueous sample corresponded to leachates produced by rainwater infiltration in tailings and water–mineral waste interactions. The second type corresponded to surface water along the Xichú and La Laja Streams, and the third and fourth types involved two groundwater well samples and spring samples, respectively. The Chiquito Stream was used as a reference area that had not been impacted by the mine wastes. The isotopic signatures associated with δ34Ssulfate and δ18Osulfate compositions from the El Ojo de Agua spring are similar to those of the Santa María River and are different from those of the mine waste leachates. This study shows evidence of the presence of As in the El Ojo de Agua spring, which results from dissolution of secondary mineral phases that were produced by alteration of the mine wastes, which then migrated along the Xichú Stream system until reaching the spring. These As-bearing fine particles are prone to dissolution when in contact with this water source. Principal component analysis revealed that the observed As, Tl, and Hg can be attributed to weathering of the mine wastes. However, the results suggest that a natural contribution of these elements could be associated with rainwater–igneous rock interactions.
Human Chemical Exposure from Background Emissions in the United States and the Implication for Quantifying Risks from Marginal Emission Increase
Authors: Li Dingsheng , Li Li
Published: November 2021

The linear dose–response relationship has long been assumed in assessments of health risk from an incremental chemical emission relative to background emissions. In this study, we systematically examine the relevancy of such an assumption with real-world data. We used the reported emission data, as background emissions, from the 2017 U.S. National Emission Inventory for 95 organic chemicals to estimate the central tendencies of exposures of the general U.S. population. Previously published nonlinear dose–response relationships for chemicals were used to estimate health risk from exposure. We also explored and identified four intervals of exposure in which the nonlinear dose–response relationship may be linearly approximated with fixed slopes. Predicted rates of exposure to these 95 chemicals are all within the lowest of the four intervals and associated with low health risk. The health risk may be overestimated if a slope on the dose–response relationship extrapolated from toxicological assays based on high response rates is used for a marginal increase in emission not substantially higher than background emissions. To improve the confidence of human health risk estimates for chemicals, future efforts should focus on deriving a more accurate dose–response relationship at lower response rates and interface it with exposure assessments.
Modulation of Adhesion Molecules Expression by Different Metalloproteases Isolated from Bothrops Snakes
Authors: Zychar Bianca C. , Clissa Patrícia B. , Carvalho Eneas , Alves Adilson S. , Baldo Cristiani , Faquim-Mauro Eliana L. , Gonçalves Luís Roberto C.
Published: November 2021

Snake venom metalloproteinases (SVMP) are involved in local inflammatory reactions observed after snakebites. Based on domain composition, they are classified as PI (pro-domain + proteolytic domain), PII (PI + disintegrin-like domains), or PIII (PII + cysteine-rich domains). Here, we studied the role of different SVMPs domains in inducing the expression of adhesion molecules at the microcirculation of the cremaster muscle of mice. We used Jararhagin (Jar)—a PIII SVMP with intense hemorrhagic activity, and Jar-C—a Jar devoid of the catalytic domain, with no hemorrhagic activity, both isolated from B. jararaca venom and BnP-1—a weakly hemorrhagic P1 SVMP from B. neuwiedi venom. Toxins (0.5 µg) or PBS (100 µL) were injected into the scrotum of mice, and 2, 4, or 24 h later, the protein and gene expression of CD54 and CD31 in the endothelium, and integrins (CD11a and CD11b), expressed in leukocytes were evaluated. Toxins induced significant increases in CD54, CD11a, and CD11b at the initial time and a time-related increase in CD31 expression. In conclusion, our results suggest that, despite differences in hemorrhagic activities and domain composition of the SVMPs used in this study, they behave similarly to the induction of expression of adhesion molecules that promote leukocyte recruitment.
Can Patient Navigators Help Potential TB Patients Navigate the Diagnostic and Treatment Pathways? An Implementation Research from India
Authors: Garg Tushar , Panibatla Vikas , Carel Joseph P. , Shanta Achanta , Bhardwaj Manish , Brouwer Miranda
Published: November 2021

Navigating the Indian health system is a challenge for people with tuberculosis (TB) symptoms. The onus of organizing care is on the patient and their families alone. Factors like gender discrimination and opportunity costs further aggravate this. As a result, people may not complete the diagnostic and treatment pathway even though they experience poor health. Navigators can aid in the pathway’s completion. We implemented two projects in India—a public sector intervention in Bihar, with a population of 1.02 million, and a private sector intervention in Andhra Pradesh (AP), with a population of 8.45 million. Accredited Social Health Activists (ASHAs) of the public health system in Bihar and local field officers in AP facilitated the patients’ navigation through the health system. In Bihar, ASHAs accompanied community-identified presumptive TB patients to the nearest primary health center, assisted them through the diagnostic process, and supported the patients throughout the TB treatment. In AP, the field officers liaised with the private physicians, accompanied presumptive patients through the diagnosis, counseled and started treatment, and followed-up with the patients during the treatment. Both projects recorded case-based data for all of the patients, and used the yield and historical TB notifications to evaluate the intervention’s effect. Between July 2017 and December 2018, Bihar confirmed 1650 patients, which represented an increase of 94% in public notifications compared to the baseline. About 97% of them started treatment. During the same period in AP, private notifications increased by 147% compared to the baseline, and all 5765 patients started treatment. Patient navigators support the patients in the diagnostic and treatment pathways, and improve their health system experience. This novel approach of involving navigators in TB projects can improve the completion of the care cascade and reduce the loss to follow-up at various stages.
Cherenkov Gravitational Radiation during the Radiation Era
Authors: Chu Yi-Zen , Liu Yen-Wei
Published: November 2021

Cherenkov radiation may occur whenever the source is moving faster than the waves it generates. In a radiation dominated universe, with equation-of-state w=1/3, we have recently shown that the Bardeen scalar-metric perturbations contribute to the linearized Weyl tensor in such a manner that its wavefront propagates at acoustic speed w=1/3. In this work, we explicitly compute the shape of the Bardeen Cherenkov cone and wedge generated respectively by a supersonic point mass (approximating a primordial black hole) and a straight Nambu-Goto wire (approximating a cosmic string) moving perpendicular to its length. When the black hole or cosmic string is moving at ultra-relativistic speeds, we also calculate explicitly the sudden surge of scalar-metric induced tidal forces on a pair of test particles due to the passing Cherenkov shock wave. These forces can stretch or compress, depending on the orientation of the masses relative to the shock front’s normal.
Automatic Search of Cataclysmic Variables Based on LightGBM in LAMOST-DR7
Authors: Hu Zhiyuan , Chen Jianyu , Jiang Bin , Wang Wenyu
Published: November 2021

The search for special and rare celestial objects has always played an important role in astronomy. Cataclysmic Variables (CVs) are special and rare binary systems with accretion disks. Most CVs are in the quiescent period, and their spectra have the emission lines of Balmer series, HeI, and HeII. A few CVs in the outburst period have the absorption lines of Balmer series. Owing to the scarcity of numbers, expanding the spectral data of CVs is of positive significance for studying the formation of accretion disks and the evolution of binary star system models. At present, the research for astronomical spectra has entered the era of Big Data. The Large Sky Area Multi-Object Fiber Spectroscopy Telescope (LAMOST) has produced more than tens of millions of spectral data. the latest released LAMOST-DR7 includes 10.6 million low-resolution spectral data in 4926 sky regions, providing ideal data support for searching CV candidates. To process and analyze the massive amounts of spectral data, this study employed the Light Gradient Boosting Machine (LightGBM) algorithm, which is based on the ensemble tree model to automatically conduct the search in LAMOST-DR7. Finally, 225 CV candidates were found and four new CV candidates were verified by SIMBAD and published catalogs. This study also built the Gradient Boosting Decision Tree (GBDT), Adaptive Boosting (AdaBoost), and eXtreme Gradient Boosting (XGBoost) models and used Accuracy, Precision, Recall, the F1-score, and the ROC curve to compare the four models comprehensively. Experimental results showed that LightGBM is more efficient. The search for CVs based on LightGBM not only enriches the existing CV spectral library, but also provides a reference for the data mining of other rare celestial objects in massive spectral data.
Considerations on Quantum Gravity Phenomenology
Authors: Rovelli Carlo
Published: November 2021

I describe two phenomenological windows on quantum gravity that seem promising to me. I argue that we already have important empirical inputs that should orient research in quantum gravity.
Peering into Avian Influenza A(H5N8) for a Framework towards Pandemic Preparedness
Authors: Yeo Joshua Yi , Gan Samuel Ken-En
Published: November 2021

2014 marked the first emergence of avian influenza A(H5N8) in Jeonbuk Province, South Korea, which then quickly spread worldwide. In the midst of the 2020–2021 H5N8 outbreak, it spread to domestic poultry and wild waterfowl shorebirds, leading to the first human infection in Astrakhan Oblast, Russia. Despite being clinically asymptomatic and without direct human-to-human transmission, the World Health Organization stressed the need for continued risk assessment given the nature of Influenza to reassort and generate novel strains. Given its promiscuity and easy cross to humans, the urgency to understand the mechanisms of possible species jumping to avert disastrous pandemics is increasing. Addressing the epidemiology of H5N8, its mechanisms of species jumping and its implications, mutational and reassortment libraries can potentially be built, allowing them to be tested on various models complemented with deep-sequencing and automation. With knowledge on mutational patterns, cellular pathways, drug resistance mechanisms and effects of host proteins, we can be better prepared against H5N8 and other influenza A viruses.
Tegument Protein pp150 Sequence-Specific Peptide Blocks Cytomegalovirus Infection
Authors: Mitra Dipanwita , Hasan Mohammad H. , Bates John T. , Bidwell Gene L. , Tandon Ritesh
Published: November 2021

Human cytomegalovirus (HCMV) tegument protein pp150 is essential for the completion of the final steps in virion maturation. Earlier studies indicated that three pp150nt (N-terminal one-third of pp150) conformers cluster on each triplex (Tri1, Tri2A and Tri2B), and extend towards small capsid proteins atop nearby major capsid proteins, forming a net-like layer of tegument densities that enmesh and stabilize HCMV capsids. Based on this atomic detail, we designed several peptides targeting pp150nt. Our data show significant reduction in virus growth upon treatment with one of these peptides (pep-CR2) with an IC50 of 1.33 μM and no significant impact on cell viability. Based on 3D modeling, pep-CR2 specifically interferes with the pp150–capsid binding interface. Cells pre-treated with pep-CR2 and infected with HCMV sequester pp150 in the nucleus, indicating a mechanistic disruption of pp150 loading onto capsids and subsequent nuclear egress. Furthermore, pep-CR2 effectively inhibits mouse cytomegalovirus (MCMV) infection in cell culture, paving the way for future animal testing. Combined, these results indicate that CR2 of pp150 is amenable to targeting by a peptide inhibitor, and can be developed into an effective antiviral.
Epidemiology and Evolution of Emerging Porcine Circovirus-like Viruses in Pigs with Hemorrhagic Dysentery and Diarrhea Symptoms in Central China from 2018 to 2021
Authors: Yang Kankan , Zhang Menghuan , Liu Qi , Cao Yingli , Zhang Wuyin , Liang Yueqiao , Song Xiangjun , Ji Kaiyuan , Shao Ying , Qi Kezong , Tu Jian
Published: November 2021

Porcine circovirus-like virus (PCLV) is a type of circular Rep-encoding single-stranded DNA virus and may be associated with the development of diarrheal symptoms in pigs. In this study, we retrospectively analyzed three years of past cases in Anhui, China, and reported a case of hemorrhagic enteritis and death in a pregnant sow possibly caused by PCLV. In addition, we analyzed the evolutionary characteristics of PCLV and found that mutation, recombination and selective pressure all played an important role in the evolution of PCLV. We identified N15D and T17S as well as L56T, T58R, K59Q, M62R, L75I and R190K mutations in two different branches, and we noted recombination events in the Rep of a group of Chinese strains. Analysis of selection pressure revealed that PCLV gained more positive selection, indicating that the virus is in a continuous evolutionary state. The PR2 plot, ENC-plot and neutrality analysis showed a greater role of natural selection than that of mutational pressure in the formation of codon usage patterns. This study is the first to identify PCLV in sows with hemorrhagic dysentery and death, and it provides new epidemiological information on PCLV infection in pigs in China.
18F-FDG-PET Imaging for Post-COVID-19 Brain and Skeletal Muscle Alterations
Authors: Rudroff Thorsten , Workman Craig D. , Ponto Laura L. Boles
Published: November 2021

Scientific evidence concerning the subacute and long-term effects of coronavirus disease 2019 (COVID-19) is on the rise. It has been established that infection by serious acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a systemic process that involves multiple organs. The complications and long-term consequences of COVID-19 are diverse and patients need a multidisciplinary treatment approach in the acute and post-acute stages of the disease. A significant proportion of COVID-19 patients experience neurological manifestations, some enduring for several months post-recovery. However, brain and skeletal muscle changes resultant from SARS CoV-2 infection remain largely unknown. Here, we provide a brief overview of the current knowledge, and usefulness, of [18F]fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG-PET/CT) to investigate brain and skeletal muscles changes in Post-COVID-19 patients with persistent symptoms. Furthermore, a brief discussion of future 18F-FDG-PET/CT applications that might advance the current knowledge of the pathogenesis of post-COVID-19 is also provided.
African Swine Fever Virus (ASFV): Biology, Genomics and Genotypes Circulating in Sub-Saharan Africa
Authors: Njau Emma P. , Machuka Eunice M. , Cleaveland Sarah , Shirima Gabriel M. , Kusiluka Lughano J. , Okoth Edward A. , Pelle Roger
Published: November 2021

African swine fever (ASF) is a highly infectious and fatal haemorrhagic disease of pigs that is caused by a complex DNA virus of the genus Asfivirus and Asfarviridae African suids family. The disease is among the most devastating pig diseases worldwide including Africa. Although the disease was first reported in the 19th century, it has continued to spread in Africa and other parts of the world. Globally, the rising demand for pork and concomitant increase in transboundary movements of pigs and pork products is likely to increase the risk of transmission and spread of ASF and pose a major challenge to the pig industry. Different genotypes of the ASF virus (ASFV) with varying virulence have been associated with different outbreaks in several countries in sub-Saharan Africa (SSA) and worldwide, and understanding genotype circulation will be important for ASF prevention and control strategies. ASFV genotypes unique to Africa have also been reported in SSA. This review briefly recounts the biology, genomics and genotyping of ASFV and provides an account of the different genotypes circulating in SSA. The review also highlights prevention, control and progress on vaccine development and identifies gaps in knowledge of ASFV genotype circulation in SSA that need to be addressed.
Association between COVID-19 Vaccine Side Effects and Body Mass Index in Spain
Authors: Iguacel Isabel , Maldonado Aurelio Luna , Ruiz-Cabello Aurelio Luna , Casaus Marta , Moreno Luis Alberto , Martínez-Jarreta Begoña
Published: November 2021

COVID-19 vaccines have shown high efficacy, with most side effects being mild–moderate and more frequently reported by females and people at younger ages. Since no studies have assessed the impact that weight status could have on the reported adverse reactions, we aim to study the association between weight status and reported side effects. We included data on 2136 adults from an online survey conducted from 6 May to 9 June 2021. The questionnaire was filled in by participants over Google forms. Generalized Linear Mixed Models were used. A higher risk of presenting fever ≥38°, vomiting, diarrhea and chills was found in those with a non-overweight status compared to those overweight after adjusting for age, sex, education, medication to prevent/relieve post-vaccination effects and vaccine administered. When adjusting, most of the significant effects, in the association between side effects of the COVID-19 vaccine and weight status, did not remain significant. In conclusion, a non-overweight status was associated with a higher risk of presenting fever ≥38°, vomiting, diarrhea and chills compared to those overweight. Nevertheless, most of the reported side effects to COVID-19 vaccine were not associated with a higher risk of presenting more adverse effects, and individual differences were determined by sex and age.
Dualistic Determinants of COVID-19 Vaccination Intention among University Students in China: From Perceived Personal Benefits to External Reasons of Perceived Social Benefits, Collectivism, and National Pride
Authors: Mo Phoenix K. H. , Yu Yanqiu , Luo Sitong , Wang Suhua , Zhao Junfeng , Zhang Guohua , Li Lijuan , Li Liping , Lau Joseph T. F.
Published: November 2021

Vaccination is one of the most effective ways of controlling the COVID-19 pandemic. However, vaccine hesitancy is prevalent, and relatively few studies have explored how variables related to personal and external motives have affected the intention to vaccinate. The present study investigated the association between perceived personal benefits, variables reflecting external motives (i.e., perceived social benefits, collectivism, and national pride) and intention to receive COVID-19 vaccination among university students in China. The interaction between perceived personal benefits and the three factors reflecting external motives on intention to receive COVID-19 vaccination was also examined. A total of 6922 university students from five provinces of China completed a cross-sectional survey. Results showed that adjusting for significant background variables, perceived personal benefits, perceived social benefits, collectivism, and national pride were all significant factors of intention to receive COVID-19 vaccination. Results from interaction analyses also showed that the association between perceived personal benefits and COVID-19 vaccination intention was stronger among those with lower levels of national pride. Findings highlighted the important role of self-directed interest and external motives in promoting uptake of COVID-19 vaccination.