bluuebunny/crossref_metadata_2025 huggingface dataset:
Supervised Exercise Training Improves 6 min Walking Distance and Modifies Gait Pattern during Pain-Free Walking Condition in Patients with Symptomatic Lower Extremity Peripheral Artery Disease
Authors: Lanzi Stefano , Boichat Joël , Calanca Luca , Mazzolai Lucia , Malatesta Davide
Published: December 2021

This study aimed to investigate the effects of supervised exercise training (SET) on spatiotemporal gait and foot kinematics parameters in patients with symptomatic lower extremity peripheral artery disease (PAD) during a 6 min walk test. Symptomatic patients with chronic PAD (Fontaine stage II) following a 3 month SET program were included. Prior to and following SET, a 6 min walk test was performed to assess the 6 min walking distance (6MWD) of each patient. During this test, spatiotemporal gait and foot kinematics parameters were assessed during pain-free and painful walking conditions. Twenty-nine patients with PAD (65.4 ± 9.9 years.) were included. The 6MWD was significantly increased following SET (+10%; p ≤ 0.001). The walking speed (+8%) and stride frequency (+5%) were significantly increased after SET (p ≤ 0.026). The stride length was only significantly increased during the pain-free walking condition (+4%, p = 0.001), whereas no significant differences were observed during the condition of painful walking. Similarly, following SET, the relative duration of the loading response increased (+12%), the relative duration of the foot-flat phase decreased (−3%), and the toe-off pitch angle significantly increased (+3%) during the pain-free walking condition alone (p ≤ 0.05). A significant positive correlation was found between changes in the stride length (r = 0.497, p = 0.007) and stride frequency (r = 0.786, p ≤ 0.001) during pain-free walking condition and changes in the 6MWD. A significant negative correlation was found between changes in the foot-flat phase during pain-free walking condition and changes in the 6MWD (r = −0.567, p = 0.002). SET was found to modify the gait pattern of patients with symptomatic PAD, and many of these changes were found to occur during pain-free walking. The improvement in individuals’ functional 6 min walk test was related to changes in their gait pattern.
Neural Architecture Search for 1D CNNs—Different Approaches Tests and Measurements
Authors: Rala Cordeiro João , Raimundo António , Postolache Octavian , Sebastião Pedro
Published: December 2021

In the field of sensors, in areas such as industrial, clinical, or environment, it is common to find one dimensional (1D) formatted data (e.g., electrocardiogram, temperature, power consumption). A very promising technique for modelling this information is the use of One Dimensional Convolutional Neural Networks (1D CNN), which introduces a new challenge, namely how to define the best architecture for a 1D CNN. This manuscript addresses the concept of One Dimensional Neural Architecture Search (1D NAS), an approach that automates the search for the best combination of Neuronal Networks hyperparameters (model architecture), including both structural and training hyperparameters, for optimising 1D CNNs. This work includes the implementation of search processes for 1D CNN architectures based on five strategies: greedy, random, Bayesian, hyperband, and genetic approaches to perform, collect, and analyse the results obtained by each strategy scenario. For the analysis, we conducted 125 experiments, followed by a thorough evaluation from multiple perspectives, including the best-performing model in terms of accuracy, consistency, variability, total running time, and computational resource consumption. Finally, by presenting the optimised 1D CNN architecture, the results for the manuscript’s research question (a real-life clinical case) were provided.
COLAEVA: Visual Analytics and Data Mining Web-Based Tool for Virtual Coaching of Older Adult Populations
Authors: Sarriegi Jon Kerexeta , Iraola Andoni Beristain , Álvarez Sánchez Roberto , Graña Manuel , Rebescher Kristin May , Epelde Gorka , Hopper Louise , Carroll Joanne , Ianes Patrizia Gabriella , Gasperini Barbara , Pilla Francesco , Mattei Walter , Tessarolo Francesco , Petsani Despoina , Bamidis Panagiotis D. , Konstantinidis Evdokimos I.
Published: December 2021

The global population is aging in an unprecedented manner and the challenges for improving the lives of older adults are currently both a strong priority in the political and healthcare arena. In this sense, preventive measures and telemedicine have the potential to play an important role in improving the number of healthy years older adults may experience and virtual coaching is a promising research area to support this process. This paper presents COLAEVA, an interactive web application for older adult population clustering and evolution analysis. Its objective is to support caregivers in the design, validation and refinement of coaching plans adapted to specific population groups. COLAEVA enables coaching caregivers to interactively group similar older adults based on preliminary assessment data, using AI features, and to evaluate the influence of coaching plans once the final assessment is carried out for a baseline comparison. To evaluate COLAEVA, a usability test was carried out with 9 test participants obtaining an average SUS score of 71.1. Moreover, COLAEVA is available online to use and explore.
Energy Performance Analysis and Modelling of LoRa Prototyping Boards
Authors: Ould Solomon , Bennett Nick S.
Published: December 2021

LoRaWAN has gained significant attention for Internet-of-Things (IOT) applications due to its low power consumption and long range potential for data transmission. While there is a significant body of work assessing LoRA coverage and data transmission characteristics, there is a lack of data available about commercially available LoRa prototyping boards and their power consumption, in relation to their features. It is currently difficult to estimate the power consumption of a LoRa module operating under different transmission profiles, due to a lack of manufacturer data available. In this study, power testing has been carried out on physical hardware and significant variation was found in the power consumption of competing boards, all marketed as “extremely low power”. In this paper, testing results are presented alongside an experimentally-derived power model for the lowest power LoRa module, and power requirements are compared to firmware settings. The power analysis adds to existing work showing trends in data-rate and transmission power settings effects on electrical power consumption. The model’s accuracy is experimentally verified and shows acceptable agreement to estimated values. Finally, applications for the model are presented by way of a hypothetical scenario and calculations performed in order to estimate battery life and energy consumption for varying data transmission intervals.
Design and Optimization for Mounting Primary Mirror with Reduced Sensitivity to Temperature Change in an Aerial Optoelectronic Sensor
Authors: Zhang Meijun , Lu Qipeng , Tian Haonan , Wang Dejiang , Chen Cheng , Wang Xin
Published: December 2021

In order to improve the image quality of the aerial optoelectronic sensor over a wide range of temperature changes, high thermal adaptability of the primary mirror as the critical components is considered. Integrated optomechanical analysis and optimization for mounting primary mirrors are carried out. The mirror surface shape error caused by uniform temperature decrease was treated as the objective function, and the fundamental frequency of the mirror assembly and the surface shape error caused by gravity parallel or vertical to the optical axis are taken as the constraints. A detailed size optimization is conducted to optimize its dimension parameters. Sensitivities of the optical system performance with respect to the size parameters are further evaluated. The configuration of the primary mirror and the flexure are obtained. The simulated optimization results show that the size parameters differently affect the optical performance and which factors are the key. The mirror surface shape error under 30 °C uniform temperature decrease effectively decreased from 26.5 nm to 11.6 nm, despite the weight of the primary mirror assembly increases by 0.3 kg. Compared to the initial design, the value of the system’s modulation transfer function (0° field angle) is improved from 0.15 to 0.21. Namely, the optical performance of the camera under thermal load has been enhanced and thermal adaptability of the primary mirror has been obviously reinforced after optimization. Based on the optimized results, a prototype of the primary mirror assembly is manufactured and assembled. A ground thermal test was conducted to verify difference in imaging quality at room and low temperature, respectively. The image quality of the camera meets the requirements of the index despite degrading.
A Smart Contract-Based Dynamic Consent Management System for Personal Data Usage under GDPR
Authors: Merlec Mpyana Mwamba , Lee Youn Kyu , Hong Seng-Phil , In Hoh Peter
Published: December 2021

A massive amount of sensitive personal data is being collected and used by scientists, businesses, and governments. This has led to unprecedented threats to privacy rights and the security of personal data. There are few solutions that empower individuals to provide systematic consent agreements on distinct personal information and control who can collect, access, and use their data for specific purposes and periods. Individuals should be able to delegate consent rights, access consent-related information, and withdraw their given consent at any time. We propose a smart-contract-based dynamic consent management system, backed by blockchain technology, targeting personal data usage under the general data protection regulation. Our user-centric dynamic consent management system allows users to control their personal data collection and consent to its usage throughout the data lifecycle. Transaction history and logs are recorded in a blockchain that provides trusted tamper-proof data provenance, accountability, and traceability. A prototype of our system was designed and implemented to demonstrate its feasibility. The acceptability and reliability of the system were assessed by experimental testing and validation processes. We also analyzed the security and privacy of the system and evaluated its performance.
Reliability and Validity of Running Cadence and Stance Time Derived from Instrumented Wireless Earbuds
Authors: Nijs Anouk , Beek Peter J. , Roerdink Melvyn
Published: December 2021

Instrumented earbuds equipped with accelerometers were developed in response to limitations of currently used running wearables regarding sensor location and feedback delivery. The aim of this study was to assess test–retest reliability, face validity and concurrent validity for cadence and stance time in running. Participants wore an instrumented earbud (new method) while running on a treadmill with embedded force-plates (well-established method). They ran at a range of running speeds and performed several instructed head movements while running at a comfortable speed. Cadence and stance time were derived from raw earbud and force-plate data and compared within and between both methods using t-tests, ICC and Bland–Altman analysis. Test–retest reliability was good-to-excellent for both methods. Face validity was demonstrated for both methods, with cadence and stance time varying with speed in to-be-expected directions. Between-methods agreement for cadence was excellent for all speeds and instructed head movements. For stance time, agreement was good-to-excellent for all conditions, except while running at 13 km/h and shaking the head. Overall, the measurement of cadence and stance time using an accelerometer embedded in a wireless earbud showed good test–retest reliability, face validity and concurrent validity, indicating that instrumented earbuds may provide a promising alternative to currently used wearable systems.
Active Magnetoelectric Motion Sensing: Examining Performance Metrics with an Experimental Setup
Authors: Hoffmann Johannes , Elzenheimer Eric , Bald Christin , Hansen Clint , Maetzler Walter , Schmidt Gerhard
Published: December 2021

Magnetoelectric (ME) sensors with a form factor of a few millimeters offer a comparatively low magnetic noise density of a few pT/Hz in a narrow frequency band near the first bending mode. While a high resonance frequency (kHz range) and limited bandwidth present a challenge to biomagnetic measurements, they can potentially be exploited in indirect sensing of non-magnetic quantities, where artificial magnetic sources are applicable. In this paper, we present the novel concept of an active magnetic motion sensing system optimized for ME sensors. Based on the signal chain, we investigated and quantified key drivers of the signal-to-noise ratio (SNR), which is closely related to sensor noise and bandwidth. These considerations were demonstrated by corresponding measurements in a simplified one-dimensional motion setup. Accordingly, we introduced a customized filter structure that enables a flexible bandwidth selection as well as a frequency-based separation of multiple artificial sources. Both design goals target the prospective application of ME sensors in medical movement analysis, where a multitude of distributed sensors and sources might be applied.
An Indexing Method of Continuous Spatiotemporal Queries for Stream Data Processing Rules of Detected Target Objects
Authors: Rahman Muhammad Habibur , Hong Bonghee , Setiawan Hari , Lee Sanghyun , Lim Dongjun , Kim Woochan
Published: December 2021

Real-time performance is important in rule-based continuous spatiotemporal query processing for risk analysis and decision making of target objects collected by sensors of combat vessels. The existing Rete algorithm, which creates a compiled node link structure for executing rules, is known to be the best. However, when a large number of rules are to be processed and the stream data to be performed are large, the Rete technique has an overhead of searching for rules to be bound. This paper proposes a hashing indexing technique for Rete nodes to the overhead of searching for spatiotemporal condition rules that must be bound when rules are expressed in a node link structure. A performance comparison evaluation experiment was conducted with Drool, which implemented the Rete method, and the method that implemented the hash index method presented in this paper. For performance measurement, processing time was measured for the change in the number of rules, the change in the number of objects, and the distribution of objects. The hash index method presented in this paper improved performance by at least 18% compared to Drool.
Video-Rate Quantitative Phase Imaging Using a Digital Holographic Microscope and a Generative Adversarial Network
Authors: Castaneda Raul , Trujillo Carlos , Doblas Ana
Published: December 2021

The conventional reconstruction method of off-axis digital holographic microscopy (DHM) relies on computational processing that involves spatial filtering of the sample spectrum and tilt compensation between the interfering waves to accurately reconstruct the phase of a biological sample. Additional computational procedures such as numerical focusing may be needed to reconstruct free-of-distortion quantitative phase images based on the optical configuration of the DHM system. Regardless of the implementation, any DHM computational processing leads to long processing times, hampering the use of DHM for video-rate renderings of dynamic biological processes. In this study, we report on a conditional generative adversarial network (cGAN) for robust and fast quantitative phase imaging in DHM. The reconstructed phase images provided by the GAN model present stable background levels, enhancing the visualization of the specimens for different experimental conditions in which the conventional approach often fails. The proposed learning-based method was trained and validated using human red blood cells recorded on an off-axis Mach–Zehnder DHM system. After proper training, the proposed GAN yields a computationally efficient method, reconstructing DHM images seven times faster than conventional computational approaches.
IoT Application of Transfer Learning in Hybrid Artificial Intelligence Systems for Acute Lymphoblastic Leukemia Classification
Authors: Pałczyński Krzysztof , Śmigiel Sandra , Gackowska Marta , Ledziński Damian , Bujnowski Sławomir , Lutowski Zbigniew
Published: December 2021

Acute lymphoblastic leukemia is the most common cancer in children, and its diagnosis mainly includes microscopic blood tests of the bone marrow. Therefore, there is a need for a correct classification of white blood cells. The approach developed in this article is based on an optimized and small IoT-friendly neural network architecture. The application of learning transfer in hybrid artificial intelligence systems is offered. The hybrid system consisted of a MobileNet v2 encoder pre-trained on the ImageNet dataset and machine learning algorithms performing the role of the head. These were the XGBoost, Random Forest, and Decision Tree algorithms. In this work, the average accuracy was over 90%, reaching 97.4%. This work proves that using hybrid artificial intelligence systems for tasks with a low computational complexity of the processing units demonstrates a high classification accuracy. The methods used in this study, confirmed by the promising results, can be an effective tool in diagnosing other blood diseases, facilitating the work of a network of medical institutions to carry out the correct treatment schedule.
Synthesis and Biological Activity Evaluation of Novel 5-Methyl-7-phenyl-3H-thiazolo[4,5-b]pyridin-2-ones
Authors: Lozynskyi Andrii , Konechnyi Yulian , Senkiv Julia , Yushyn Ihor , Khyluk Dmytro , Karpenko Olexandr , Shepeta Yulia , Lesyk Roman
Published: December 2021

A series of 5-methyl-7-phenyl-3H-thiazolo[4,5-b]pyridin-2-ones has been designed, synthesized, and characterized by spectral data. Target compounds were screened for their antimicrobial activity against some pathogenic bacteria and fungi, and most of them showed moderate activity, especially compound 3g, which displayed the potent inhibitory effect against Pseudomonas aeruginosa and Escherichia coli with MIC value of 0.21 μM. The active thiazolopyridine derivatives 3c, 3f, and 3g were screened for their cytotoxicity effects on HaCat, Balb/c 3T3 cells using MTT assay, which revealed promising results. In silico assessment for compounds 3c, 3f, and 3g also revealed suitable drug-like parameters and ADME properties. The binding interactions of the most active compound 3g were performed through molecular docking against MurD and DNA gyrase, with binding energies and an inhibitory constant compared to the reference drug ciprofloxacin. The tested thiazolo[4,5-b]pyridines constitute an exciting background for the further development of new synthetic antimicrobial agents.
Social Risks as the Source of Threats and Concerns: The Survey in the Czech Republic
Authors: Trochtová Ludmila Siarda , Pospíšil Jiří , Pospíšilová Helena
Published: December 2021

The object of this research was to determine the subjective recognized social threats in the context of contemporary society. Given the growing number of people who feel threatened by certain social threats, there is a presumption that the risk is real, and the identified groups are affected by social risks. The recognition of social threats in the population has a broader social context, and may be influenced by key socio-demographic factors. This influence is significant for many risks, and helps to better understand the nature of the specific groups at risk. It also allows us to recognize that the socio-demographic and family context creates specific conditions for the occurrence of social threats. The aim of the paper is to find the relationships between different types of social threats and gender, age groups, personal situation (occupation), educational attainment, and family situation. A similar study was carried out by the OECD in 2018 (the Czech Republic was not included). The research was designed as cross-sectional ex-post-facto, and the statistical significance was determined using χ2 test of independence. The survey was carried out in 2018–2019 nationwide across the Czech Republic. The processed data of 5425 respondents has shown that, in the Czech Republic, the subjectively perceived significant threats seem to be the loss of job and unemployment, insufficient skills, and an unwillingness to educate oneself or to be trained, social pressure, and unsatisfactory housing conditions. The research reveals that the recognition of social threats depends on social and family conditions, and there exist specific groups feeling threats more intensively than exist in others. The groups that are at the most risk are individuals with primary education and an apprenticeship. In the population, women are more at risk, as well as the 25–34 and 45+ age groups.
Dating Violence: A Bibliometric Review of the Literature in Web of Science and Scopus
Authors: Martínez-Heredia Nazaret , González-Gijón Gracia , Soriano Díaz Andrés , Amaro Agudo Ana
Published: December 2021

This study has the general purpose of improving the understanding and description of the field of violence in young couple relationships by means of a bibliometric analysis. A descriptive and transversal-retrospective methodology is used, the objective of which is to describe in a quantitative way the information obtained from the production of 842 references registered in the Scopus and Web of Science databases. The results show that during 2017 and 2018, the majority of publications were concentrated, highlighting that the United States is the country with the highest amount of scientific production on violence in intimate relationships. It is important to highlight that more and more countries are investigating this subject, highlighting an increase in production from 2015 onwards. The violence that occurs in the relationships of young couples is a global social and health problem that requires research to be able to deepen its knowledge and in the prevention of this social scourge.
Legal Financial Obligations and Probation: Findings from the 1995 Survey of Adults on Probation
Authors: White Marshall L. , Sabol William J.
Published: December 2021

During the late 20th century, imprisonment rates in the United States saw unprecedented growth, leading correctional systems across the country to face widespread overcrowding and underfunding. Subsequently, policy makers sought out alternatives to incarceration for certain categories of offenses. Community supervision, such as probation, emerged as a popular solution to both reduce prison and jail populations as well as to generate revenue to fund the rapidly expanding legal system. With the rise in community supervision came increases in the number of people on probation for lower-level and non-violent offenses. The expansion of legal financial obligations (LFO) placed additional burdens on these persons, who disproportionately sit in lower socio-economic status brackets. Using data from the 1995 Survey of Adults on Probation (SAP), the current study adds to the literature on probation and LFOs in an important way. The SAP data contain information on the amount, frequency, and type of LFO. Thus, this paper examines the distinct types of LFOs to determine the differential burden that each type of LFO has on people on probation. This paper finds that of all types of fees, those associated with victim restitution are most likely to lead to missed payments, while those that generate revenues do not contribute significantly to missed payments. This paper discusses the implications of this for procedural justice and fairness.
The Socioeconomic Integration of People in Need of International Protection: A Spatial Approach in the Case of Greece
Authors: Manou Dimitra , Blouchoutzi Anastasia , Papathanasiou Jason
Published: December 2021

This paper explores the impact of dispersal policy of asylum seekers in Greece under the accommodation scheme running in the country. Combining an analysis of secondary data and the findings of field research through semi-structured interviews with stakeholders in migration governance, the authors seek to identify whether there are differences in the integration prospects between the residents of the camps, which are mostly outside cities or in rural areas, and the beneficiaries of urban autonomous living. The contribution of this paper lies in that it brings into the spotlight the spatial criterion for the evaluation of integration both under the lens of rural–urban placement as well as under the lens of collective-autonomous living. To this end, it follows the integration policies and practices implemented at national and local levels and compares the access granted to people in need of international protection and their outcomes. The findings are in accordance with the literature supporting that the positive impact of urban autonomous living in socioeconomic integration usually prevails the residence in rural collective housing. However, it points out the importance of local actors in the success of integration efforts.
An Agro-Based Society after Post-Industrial Society: From a Perspective of Economic Growth Paradigm
Authors: Han Hongyun , Xia Sheng
Published: December 2021

Since the Industrial Revolution, a new era has arisen called the Anthropocene, in which human actions have become the main driver of global environmental change outside the stable environmental state of the Holocene. During the Holocene, environmental change occurred naturally, and the Earth’s regulatory capacity maintained the conditions that enabled human development. Resource overexploitation of the industrial “Anthropocene”, under the principle of profit maximization, has led to planetary ecological crises, such as overloaded carbon sinks and climate changes, vanishing species, degraded ecosystems, and insufficient natural resources. Agro-based society, in which almost all demands of humans can be supported by agriculture, is characterized by life production. The substitution of Agro-based society for a post-industrial society is an evolutionary result of social movement, it is an internal requirement of a sustainable society for breaking through the resource constraint of economic growth. The core feature of agriculture is to use organisms as production objects and rely on life processes to achieve production goals. The substitution of Agro-based society for a post-industrial society is the precondition for a sustainable carbon cycle, breaking through the resource limits of the industrial “Anthropocene”, alleviating the environmental pressure of economic development, and promoting society from increasing disorderly entropy to orderly decreasing entropy. Meanwhile, technological advancements and growing environmental awareness of society make it feasible for the substitution of an agro-based society for a post-industrial society.
Culture and Social Change in Mothers’ and Fathers’ Individualism, Collectivism and Parenting Attitudes
Authors: Lansford Jennifer , Zietz Susannah , Al-Hassan Suha , Bacchini Dario , Bornstein Marc , Chang Lei , Deater-Deckard Kirby , Di Giunta Laura , Dodge Kenneth , Gurdal Sevtap , Liu Qin , Long Qian , Oburu Paul , Pastorelli Concetta , Skinner Ann , Sorbring Emma , Tapanya Sombat , Steinberg Laurence , Uribe Tirado Liliana , Yotanyamaneewong Saengduean , Alampay Liane
Published: December 2021

Cultures and families are not static over time but evolve in response to social transformations, such as changing gender roles, urbanization, globalization, and technology uptake. Historically, individualism and collectivism have been widely used heuristics guiding cross-cultural comparisons, yet these orientations may evolve over time, and individuals within cultures and cultures themselves can have both individualist and collectivist orientations. Historical shifts in parents’ attitudes also have occurred within families in several cultures. As a way of understanding mothers’ and fathers’ individualism, collectivism, and parenting attitudes at this point in history, we examined parents in nine countries that varied widely in country-level individualism rankings. Data included mothers’ and fathers’ reports (N = 1338 families) at three time points in China, Colombia, Italy, Jordan, Kenya, Philippines, Sweden, Thailand, and the United States. More variance was accounted for by within-culture than between-culture factors for parents’ individualism, collectivism, progressive parenting attitudes, and authoritarian parenting attitudes, which were predicted by a range of sociodemographic factors that were largely similar for mothers and fathers and across cultural groups. Social changes from the 20th to the 21st century may have contributed to some of the similarities between mothers and fathers and across the nine countries.
Transport Inequalities and the Adoption of Intelligent Transportation Systems in Africa: A Research Landscape
Authors: Ajayi Olasupo O. , Bagula Antoine B. , Maluleke Hloniphani C. , Odun-Ayo Isaac A.
Published: December 2021

Intelligent Transportation Systems (ITS), also known as Smart Transportation, is an infusion of information and communication technologies into transportation. ITS are a key component of smart cities, which have seen rapid global development in the last few decades. This has in turn translated to an increase in the deployment and adoption of ITS, particularly in countries in the Western world. Unfortunately, this is not the case with the developing countries of Africa and Asia, where dilapidated road infrastructure, poorly maintained public/mass transit vehicles and poverty are major concerns. However, the impact of Westernization and “imported technologies” cannot be overlooked; thus, despite the aforementioned challenges, ITS have found their way into African cities. In this paper, a systematic review was performed to determine the state of the art of ITS in Africa. The output of this systematic review was then fed into a hybrid multi-criteria model to analyse the research landscape, identify connections between published works and reveal research gaps and inequalities in African ITS. African peculiarities inhibiting the widespread implementation of ITS were then discussed, followed by the development of a conceptual architecture for an integrated ITS for African cities.
Corporate Social Responsibility and Firm Liquidity Risk: U.S. Evidence
Authors: Zhao Hong , Jiao Zixuan , Wang Jianrong , Kamar Amina
Published: December 2021

In this study, we empirically investigate whether and to what extent corporate social responsibility (CSR) may affect firm liquidity risk. We define liquidity risk as the covariance between market-wide liquidity shocks and individual firms’ stock returns and employ two methods to estimate firm liquidity risk. We find a negative association between CSR and firm liquidity risk after controlling for various firm characteristics, i.e., year and industry fixed effects. Our results are robust to possible endogeneity issues when we adopt two-stage lease square estimator and dynamic GMM estimator. In addition, we document that the negative relation between CSR and firm liquidity risk is more pronounced when firms have higher reliance on external financing.
Escape to the Country: A Reaction-Driven Rural Renaissance on a Swedish Island Post COVID-19
Authors: Åberg Hanna Elisabet , Tondelli Simona
Published: December 2021

The COVID-19 pandemic could be driving more households to migrate out of cities and to the countryside, but this might result in an increased demand for access to green space which, in the long run, may cause a widening of social inequalities in rural areas. On the contrary, if planned for, it could provide an opportunity for repopulation and regeneration. This article explores the underlying causes and impacts of current rural in-migration, and further, it touches on how planning can balance development while supporting communities for a rural renaissance. By using a case study area in Sweden, it examines evidence of amenity-driven in-migration flows before and during the pandemic. The findings show an increased usage of part-time housing as a result of demand for space and nature; however, this was made possible through already well functioning infrastructures. Acknowledging that it is crucial to maintain and enhance natural capital, this study suggests that the supply of services and infrastructure is essential to achieve a rural renaissance beyond temporary tourism. As people are increasingly dividing their time between their urban permanent home and their rural second home, this may further suggest that there is a need to improve the connections between urban and rural areas.
Is the Earth Crying Wolf? Exploring Knowledge Source and Certainty in High School Students’ Analysis of Global Warming News
Authors: Feucht Florian C. , Michaelson Kate , Hany Susan L. , Maziarz Lauren N. , Ziegler Nathan E.
Published: December 2021

The marked contrast between the scientific consensus on global warming and public beliefs indicates a need to research how high schoolers, as future citizens, engage with and make meaning from news articles on such topics. In the case of socioscientific issues (SSIs) such as global warming, students’ acquisition of knowledge from the news is mediated by their epistemic understandings of the nature of science (NOS) and use of informal reasoning in evaluating claims, evidence, and sources. This exploratory qualitative study examined twelve U.S. high school students’ understandings, opinions, and epistemic beliefs concerning global warming knowledge. Researchers examined microgenetic changes as students discussed global warming during semi-structured interviews and a close reading of global warming news texts. Although results showed that most students could articulate a working concept of global warming, in follow-up questions, a subset offered personal opinions that differed from or contradicted their previously stated understandings. Meanwhile, students who offered opinions consistent with the scientific consensus often argued that the dangers of global warming were exaggerated by politicians and scientists who wished to profit from the issue. This study suggests a need for more explicit focus on NOS and scientific news literacy in curricula, as well as further research into the interplay between epistemic beliefs and the informal reasoning students use to negotiate diverse sources of SSI knowledge—from the classroom to the news media and public life.
A Healthy Metaphor? The North Sea Consultation and the Power of Words
Authors: Geukes Haye , Pesch Udo , Correljé Aad , Taebi Behnam
Published: December 2021

The North Sea Consultation was set up to resolve conflicting claims for space in the North Sea. In 2020, this consultation process resulted in the North Sea Agreement, which was supported by the Dutch Parliament and cabinet as a long-term policy; however, the fishing sector felt excluded, left the consultation process, and does not support the agreement. Using semi-constructed interviews and the method of wide reflective equilibrium, this research found that in this conflict the metaphor of ‘health’ has played a decisive role. While all stakeholders want to keep the sea ‘healthy’, they disagree on what a healthy sea actually means, leading to contrastive positions on the desirability of trawler fishing, wind parks, and conservation areas—the North Sea Agreement’s main foci of interest. To prevent the unproductive escalation of such a conflict, it is inevitable to acknowledge the moral connotations of such metaphors, as this allows a decision-making process that can be considered more just.
Has the Economic Structure Optimization in China’s Supply-Side Structural Reform Improved the Inclusive Green Total Factor Productivity?
Authors: Wang Feng , Wu Jianxiong , Wu Min , Zheng Wen , Huang Danwen
Published: December 2021

One of the goals of China’s supply-side structural reform is to improve total factor productivity (TFP). Considering the problems of environmental deterioration and income disparity faced by China, this paper first incorporates environmental pollution and income disparity as undesirable outputs into the TFP analysis framework, and extends the concept of inclusive green TFP (henceforth IGTFP).We measure and analyze the IGTFP in China’s provinces from 1995 to 2017 using the Malmquist–Luenberger index, and then examine, for the first time, the impacts of economic structural optimization in the supply-side structural reform on the IGTFP. The results are shown as follows. First, China’s national IGTFP index is significantly smaller than the traditional TFP index. That is, the traditional TFP without the constraints of environmental pollution and income disparity overestimates China’s real TFP. Second, there are significant regional differences in China’s IGTFP, the average annual growth rate of IGTFP shows a gradual downward trend from east to west. This would further exacerbate the regional imbalance in China’s economic development. Third, among the structural factors in economic structure optimization, industrial structure and energy structure are negatively correlated with the IGTFP, while factor structure, labor structure and urban–rural structure are all positively correlated with the IGTFP. These results imply that the economic structure optimization driven by supply-side structural reform will improve China’s IGTFP.
Process Parameters Optimization of Wet Shot Peening for Paint Cleaning
Authors: Wu Shuangshuang , Jia Xiujie , Xiong Sheng , Li Fangyi , Ma Mingliang , Wang Xing , Li Chenghao
Published: December 2021

Wet shot peening (WSP) cleaning technology has the advantages of being green, having a high efficiency, and producing almost no pollution to the environment. Under the development trend of green environmental protection, WSP is more and more desired by the public. However, in the study of WSP cleaning paint, there is little research on process parameter optimization. Accordingly, this article uses an orthogonal experiment, taking the cleaning efficiency and the substrate removal mass as objectives, to optimize the parameters of pressure, stand-off distance, traverse rate, and cleaning times. The experimental results show that the cleaning efficiency is improved by increasing the pressure, stand-off distance, and traverse rate or decreasing the cleaning times within the scope of this experiment. The pressure and cleaning times are positively correlated with the substrate removal mass, whereas the traverse rate is negatively correlated. As the stand-off distance increases, the substrate removal mass initially increases and then decreases. The traverse rate has a significant influence on the cleaning efficiency and the substrate removal mass. The optimal process parameters based on the cleaning efficiency are 0.45 MPa pressure, 140 mm stand-off distance, 5 mm/s traverse rate, and one-time cleaning. Besides, the cleaning efficiency at such conditions is 64.23 %/min. Additionally, the substrate removal mass is optimized under 0.25 MPa pressure, 60 mm (or 140 mm) stand-off distance, 5 mm/s traverse rate, and one-time cleaning to give a substrate removal mass of approximately zero. The analysis of parameters provides a reference for selecting the parameters in the actual application of WSP cleaning.
Green Credit Financing Equilibrium under Government Subsidy and Supply Uncertainty
Authors: Wu Junjian , Shang Jennifer
Published: December 2021

In this paper, we study the green credit financing equilibrium in a green supply chain (GSC) with government subsidy and supply uncertainty. The GSC system is composed of one manufacturer, two retailers, one bank, and the government. The manufacturer is subject to both supply uncertainty and limited capital. The manufacturer invests in the R&D of green products and borrows loans from the bank. The government subsidizes banks to encourage banks to provide loans to manufacturers with lower interest rates, which is termed “green credit financing”. The two retailers decide their order quantities with horizontal competition or horizontal cooperation. We first developed a Stackelberg model to investigate the green credit financing equilibriums (i.e., the interest rate of the bank, the manufacturer’s product green degree and wholesale price, and the retailers’ order quantity) under horizontal competition and horizontal cooperation, respectively. Subsequently, we analyzed how the subsidy interest rate, supply uncertainty, and supply correlation affect financing decisions regarding equilibrium green credit. We found that a high subsidy interest rate leads to a low interest rate of bank and the manufacturer can set a high level of green product and high wholesale price, while the retailers can set a high order quantity. Finally, we compared the green credit financing equilibriums under horizontal competition with those under horizontal cooperation using numerical and analytical methods. We found that, in general, the optimal decisions and profits of bank and SC members, consumer surplus, and social welfare under horizontal competition are higher than those under horizontal cooperation. The findings in this research could provide valuable insights for the management of capital-constrained GSCs with government subsidies and supply uncertainty in a competing market.
Effects of Silicic Acid on Leaching Behavior of Arsenic from Spent Calcium-Based Adsorbents with Arsenite
Authors: Sugita Hajime , Oguma Terumi , Hara Junko , Zhang Ming , Kawabe Yoshishige
Published: December 2021

The spent adsorbents that remain after being used to purify As-contaminated water constitute waste containing a large amount of As. These spent adsorbents, after being disposed, are likely to come into contact with silicic acid leached from the soil or cementitious solidification materials. Thus, it is crucial the evaluate the effects of silicic acid on spent adsorbents. In this study, the effects of silicic acid on spent Ca-based (CaO and Ca(OH)2) adsorbents with arsenite were investigated. The As leaching ratio for the spent adsorbents decreased with an increase in the initial concentration of silicic acid in the liquid. Under the tested conditions, the As leaching ratio decreased from 8–9% to less than 0.7% in the presence of silicic acid at an initial Si-normalized concentration of 100 mg/L. The primary mechanism behind the inhibition of As leaching by silicic acid was determined to be re-immobilization via the incorporation of arsenite during the formation of calcium silicates. In the presence of silicic acid, spent Ca-based adsorbents with arsenite had a lower As leaching ratio than those with arsenate. Therefore, spent Ca-based adsorbents with arsenite were found to have a higher environmental stability than those with arsenate.
Mentors as Female Role Models in STEM Disciplines and Their Benefits
Authors: Torres-Ramos Sulema , Fajardo-Robledo Nicte Selene , Pérez-Carrillo Lourdes Adriana , Castillo-Cruz Claudia , Retamoza-Vega Patricia del R. , Rodríguez-Betancourtt Verónica M. , Neri-Cortés Cristina
Published: December 2021

Several studies have addressed the benefits of mentoring from the mentor’s perspective, especially those related to soft skills. However, to the best of our knowledge, there are no studies that either relate the mentoring in STEM areas with female role models or that analyze them from a data-mining perspective. In this work, a questionnaire was elaborated to address the mentor’s benefits related to soft skills and technical knowledge; afterward, a data-mining methodology was used to analyze the mentor’s perceptions related to female role models and STEM reinforcement. In addition, sentiment analysis was performed in order to determine the emotional polarity in the text used by the mentors to describe their mentoring experience. The results show that soft and technical skills are acquired by the mentors, and participating in mentoring programs allows them to perceive themselves as female role models. Additionally, by using decision trees, it was possible to determine the mentors’ characteristics that perceive a STEM reinforcement or that produce attraction. In addition, the results show that the general perception of the mentors’ experience was positive. Finally, the use of machine learning techniques, specifically data mining and sentiment analysis, allowed us to both confirm the results obtained in a qualitative way and to obtain new interesting results.
What Are the Stimuli to Change to a Sustainable Post-COVID-19 Society?
Authors: Almeida Cecilia M. V. B. , Giannetti Biagio F. , Agostinho Feni , Liu Gengyuan , Yang Zhifeng
Published: December 2021

The COVID-19 crisis has highlighted how inadequately prepared humanity is to manage global disasters. Conversely, this crisis also offers an exceptional opportunity to move towards a more equitable and sustainable future. This paper explores three stimuli that can lead people to the change towards sustainable Post-COVID-19 societies: crises, knowledge, and alternative paradigms. From a theoretical approach, the paper addresses the roles of each stimulus and the capacity they may have, individually or together, to encourage the debate about the relationship between environmental conditions and human crisis. This study contributes to the discussions on the importance of strategic transformations of the global consumption and production systems. It takes this unique opportunity to move towards a more sustainable future. Moreover, it urges that this transformation process be articulated with alternative paradigms that seek to go beyond inequalities, conflicts, imbalanced development, and ecological deterioration.
Leveraging Underdog Positioning and Consumer Trait Agreeableness for Sustained Marketing Strategy
Authors: Han Bangwool , Sembada Agung Yoga , Johnson Lester W.
Published: December 2021

Independent and small businesses often rely on underdog positioning strategies to gain market share against larger and more established companies. However, the effectiveness of these strategies remains unclear. The current study aims to investigate how different consumer personalities may influence their responses towards underdog positioning strategies. Two experimental studies with U.K. consumers (n = 349) show that the relationship between underdog status and positive attitudes is not as straightforward as previously believed. The research uses the lens of self-efficacy theory and found that underdog status positively correlates with perceived effort, consumer preference, and willingness to commit only among consumers with high trait agreeableness. In other words, although consumers generally acknowledge the efforts exerted by underdog providers, our study found that only agreeable consumers are more likely to reciprocate these efforts with increased positive attitudes. These findings contribute to the growing literature that examines the efficacy of the underdog effect. Subsequently, the findings have strong implications in ensuring the sustainability of small businesses by ensuring that marketing spending is optimized to target only the most effective consumer segments.