bluuebunny/crossref_metadata_2025 huggingface dataset:
Estimation of Tool Wear and Surface Roughness Development Using Deep Learning and Sensors Fusion
Authors: Huang Pao-Ming , Lee Ching-Hung
Published: August 2021

This paper proposes an estimation approach for tool wear and surface roughness using deep learning and sensor fusion. The one-dimensional convolutional neural network (1D-CNN) is utilized as the estimation model with X- and Y-coordinate vibration signals and sound signal fusion using sensor influence analysis. First, machining experiments with computer numerical control (CNC) parameters are designed using a uniform experimental design (UED) method to guarantee the variety of collected data. The vibration, sound, and spindle current signals are collected and labeled according to the machining parameters. To speed up the degree of tool wear, an accelerated experiment is designed, and the corresponding tool wear and surface roughness are measured. An influential sensor selection analysis is proposed to preserve the estimation accuracy and to minimize the number of sensors. After sensor selection analysis, the sensor signals with better estimation capability are selected and combined using the sensor fusion method. The proposed estimation system combined with sensor selection analysis performs well in terms of accuracy and computational effort. Finally, the proposed approach is applied for on-line monitoring of tool wear with an alarm, which demonstrates the effectiveness of our approach.
Sensor-Based Indices for the Prediction and Monitoring of Anterior Cruciate Ligament Injury: Reliability Analysis and a Case Study in Basketball
Authors: Molinaro Luca , Taborri Juri , Santospagnuolo Adriano , Vetrano Mario , Vulpiani Maria Chiara , Rossi Stefano
Published: August 2021

The possibility of measuring predictive factors to discriminate athletes at higher risk of anterior cruciate ligament (ACL) injury still represents an open research question. We performed an observational study with thirteen female basketball players who performed monopodalic jumps and single-leg squat tests. One of them suffered from an ACL injury after the first test session. Data gathered from twelve participants, who did not suffer from ACL injury, were used for a reliability analysis. Parameters related to leg stability, load absorption capability and leg mobility showed good-to-excellent reliability. Path length, root mean square of the acceleration and leg angle with respect to the vertical axis revealed themselves as possible predictive factors to identify athletes at higher risk. Results confirm that six months after reconstruction represents the correct time for these athletes to return to playing. Furthermore, the training of leg mobility and load absorption capability could allow athletes to reduce the probability of new injuries.
A Miniaturised, Fully Integrated NDIR CO2 Sensor On-Chip
Authors: Jia Xiaoning , Roels Joris , Baets Roel , Roelkens Gunther
Published: August 2021

In this paper, we present a fully integrated Non-dispersive Infrared (NDIR) CO2 sensor implemented on a silicon chip. The sensor is based on an integrating cylinder with access waveguides. A mid-IR LED is used as the optical source, and two mid-IR photodiodes are used as detectors. The fully integrated sensor is formed by wafer bonding of two silicon substrates. The fabricated sensor was evaluated by performing a CO2 concentration measurement, showing a limit of detection of ∼750 ppm. The cross-sensitivity of the sensor to water vapor was studied both experimentally and numerically. No notable water interference was observed in the experimental characterizations. Numerical simulations showed that the transmission change induced by water vapor absorption is much smaller than the detection limit of the sensor. A qualitative analysis on the long term stability of the sensor revealed that the long term stability of the sensor is subject to the temperature fluctuations in the laboratory. The use of relatively cheap LED and photodiodes bare chips, together with the wafer-level fabrication process of the sensor provides the potential for a low cost, highly miniaturized NDIR CO2 sensor.
Editorial to the Special Issue SELSA: “Sensors for Environmental and Life Science Applications”
Authors: Fourati Najla , Chehimi Mohamed M.
Published: August 2021

“Warn, inform, and prevent” are three essential elements to remember when designing sensors for real-time and in situ monitoring of organic, inorganic, and macromolecular compounds as well as micro-nanoparticles and microorganisms [...]
Real-Time Quality Index to Control Data Loss in Real-Life Cardiac Monitoring Applications
Authors: Vila Gaël , Godin Christelle , Charbonnier Sylvie , Campagne Aurélie
Published: August 2021

Wearable cardiac sensors pave the way for advanced cardiac monitoring applications based on heart rate variability (HRV). In real-life settings, heart rate (HR) measurements are subject to motion artifacts that may lead to frequent data loss (missing samples in the HR signal), especially for commercial devices based on photoplethysmography (PPG). The current study had two main goals: (i) to provide a white-box quality index that estimates the amount of missing samples in any piece of HR signal; and (ii) to quantify the impact of data loss on feature extraction in a PPG-based HR signal. This was done by comparing real-life recordings from commercial sensors featuring both PPG (Empatica E4) and ECG (Zephyr BioHarness 3). After an outlier rejection process, our quality index was used to isolate portions of ECG-based HR signals that could be used as benchmark, to validate the output of Empatica E4 at the signal level and at the feature level. Our results showed high accuracy in estimating the mean HR (median error: 3.2%), poor accuracy for short-term HRV features (e.g., median error: 64% for high-frequency power), and mild accuracy for longer-term HRV features (e.g., median error: 25% for low-frequency power). These levels of errors could be reduced by using our quality index to identify time windows with few or no data loss (median errors: 0.0%, 27%, and 6.4% respectively, when no sample was missing). This quality index should be useful in future work to extract reliable cardiac features in real-life measurements, or to conduct a field validation study on wearable cardiac sensors.
Effect of Laser Parameters on Optical Stealth Transmission System Performance
Authors: Wang Xinmei , Mou Weifeng , Zhu Huatao
Published: August 2021

The performance of an optical stealth transmission system based on gain-switched laser depends largely on the laser parameters. Modulation frequency, bias current, and modulation current are considered to study the covertness and bit error rate performance of the optical stealth transmission system. According to optical stealth carrier generation with time spreading and all-optical encoding, the stealth signals are derived. A complementary encoding scheme is adopted in the system simulation. The simulation results show that the temporal and spectral characteristics of the generated stealth signal can be changed by adjusting the bias current, modulation current, and modulation frequency. However, there is a trade-off between bit error rate performance and covertness of the stealth channel. Under the premise of error-free transmission, the bias current and modulation frequency should be reduced and the modulation current should be improved to optimize the covertness of the stealth channel.
A Flexible Multimodal Sole Sensor for Legged Robot Sensing Complex Ground Information during Locomotion
Authors: Xu Yingtian , Wang Ziya , Hao Wanjun , Zhao Wenyu , Lin Waner , Jin Bingchen , Ding Ning
Published: August 2021

Recent achievements in the field of computer vision, reinforcement learning, and locomotion control have largely extended legged robots’ maneuverability in complex natural environments. However, little research focuses on sensing and analyzing the physical properties of the ground, which is crucial to robots’ locomotion during their interaction with highly irregular profiles, deformable terrains, and slippery surfaces. A biomimetic, flexible, multimodal sole sensor (FMSS) designed for legged robots to identify the ontological status and ground information, such as reaction force mapping, contact situation, terrain, and texture information, to achieve agile maneuvers was innovatively presented in this paper. The FMSS is flexible and large-loaded (20 Pa–800 kPa), designed by integrating a triboelectric sensing coat, embedded piezoelectric sensor, and piezoresistive sensor array. To evaluate the effectiveness and adaptability in different environments, the multimodal sensor was mounted on one of the quadruped robot’s feet and one of the human feet then traversed through different environments in real-world tests. The experiment’s results demonstrated that the FMSS could recognize terrain, texture, hardness, and contact conditions during locomotion effectively and retrain its sensitivity (0.66 kPa−1), robustness, and compliance. The presented work indicates the FMSS’s potential to extend the feasibility and dexterity of tactile perception for state estimation and complex scenario detection.
Transfer Learning Approach for Classification of Histopathology Whole Slide Images
Authors: Ahmed Shakil , Shaikh Asadullah , Alshahrani Hani , Alghamdi Abdullah , Alrizq Mesfer , Baber Junaid , Bakhtyar Maheen
Published: August 2021

The classification of whole slide images (WSIs) provides physicians with an accurate analysis of diseases and also helps them to treat patients effectively. The classification can be linked to further detailed analysis and diagnosis. Deep learning (DL) has made significant advances in the medical industry, including the use of magnetic resonance imaging (MRI) scans, computerized tomography (CT) scans, and electrocardiograms (ECGs) to detect life-threatening diseases, including heart disease, cancer, and brain tumors. However, more advancement in the field of pathology is needed, but the main hurdle causing the slow progress is the shortage of large-labeled datasets of histopathology images to train the models. The Kimia Path24 dataset was particularly created for the classification and retrieval of histopathology images. It contains 23,916 histopathology patches with 24 tissue texture classes. A transfer learning-based framework is proposed and evaluated on two famous DL models, Inception-V3 and VGG-16. To improve the productivity of Inception-V3 and VGG-16, we used their pre-trained weights and concatenated these with an image vector, which is used as input for the training of the same architecture. Experiments show that the proposed innovation improves the accuracy of both famous models. The patch-to-scan accuracy of VGG-16 is improved from 0.65 to 0.77, and for the Inception-V3, it is improved from 0.74 to 0.79.
Modelling and Control of a Reconfigurable Robot for Achieving Reconfiguration and Locomotion with Different Shapes
Authors: Samarakoon S. M. Bhagya P. , Muthugala M. A. Viraj J. , Abdulkader Raihan E. , Si Soh Wei , Tun Thein T. , Elara Mohan Rajesh
Published: August 2021

Area coverage is a crucial factor for a robot intended for applications such as floor cleaning, disinfection, and inspection. Robots with fixed shapes could not realize an adequate level of area coverage performance. Reconfigurable robots have been introduced to overcome the limitations of fixed-shape robots, such as accessing narrow spaces and cover obstacles. Although state-of-the-art reconfigurable robots used for coverage applications are capable of shape-changing for improving the area coverage, the reconfiguration is limited to a few predefined shapes. It has been proven that the ability of reconfiguration beyond a few shapes can significantly improve the area coverage performance of a reconfigurable robot. In this regard, this paper proposes a novel robot model and a low-level controller that can facilitate the reconfiguration beyond a small set of predefined shapes and locomotion per instructions while firmly maintaining the shape. A prototype of a robot that facilitates the aim mentioned above has been designed and developed. The proposed robot model and controller have been integrated into the prototype, and experiments have been conducted considering various reconfiguration and locomotion scenarios. Experimental results confirm the validity of the proposed model and controller during reconfiguration and locomotion of the robot. Moreover, the applicability of the proposed model and controller for achieving high-level autonomous capabilities has been proven.
Design and Research of All-Terrain Wheel-Legged Robot
Authors: Zhao Jianwei , Han Tao , Wang Shouzhong , Liu Chengxiang , Fang Jianhua , Liu Shengyi
Published: August 2021

Aiming at the crossing problem of complex terrain, to further improve the ability of obstacles crossing, this paper designs and develops an all-terrain wheel-legged hybrid robot (WLHR) with strong adaptability to the environment. According to the operation requirements in different road conditions, the robot adopts a wheel and leg compound structure, which can realize the transformation of wheel movement and leg movement to adjust its motion state. The straight and turning process of the robot is analyzed theoretically, the kinematics model is established and solved, and obstacle crossing analysis is carried out by establishing the mathematical model of front wheel obstacle crossing when the robot meets obstacles. To verify the analysis results, ADAMS software is used to simulate and analyze the process of robot running on the complex road surface and obstacles-crossing. Finally, a theoretical prototype is made to verify its feasibility. Theoretical analysis and experimental results show that the designed WLHR is feasible and has the stability of the wheeled mechanism and the higher obstacle crossing ability of the legged mechanism so that the robot can adapt to a variety of complex road conditions.
A Rapid Prototyped Thermal Mass Flowmeter
Authors: Pečar Borut , Vrtačnik Danilo , Pavlin Matic , Možek Matej
Published: August 2021

An innovative rapid prototyping technique for embedding microcomponents in PDMS replicas was developed and applied on a thermal mass flowmeter for closed loop micropump flowrate control. Crucial flowmeter design and thermal parameters were investigated with a 3-D fully coupled electro-thermal-fluidic model which was built in Comsol Multiphysics 5.2. The flowmeter was characterized for three distinct measuring configurations. For precise low flowrate applications, a sensor-heater-sensor flowmeter configuration with a constant heater temperature was found to be the most appropriate yielding the measuring range of 0 to 90 µL·min−1 and the sensitivity of 1.3 °C·µL−1·min in the lower flowrate range of 0 to 40 µL·min−1.
Optical Fiber Array Sensor for Force Estimation and Localization in TAVI Procedure: Design, Modeling, Analysis and Validation
Authors: Bandari Naghmeh , Dargahi Javad , Packirisamy Muthukumaran
Published: August 2021

Transcatheter aortic valve implantation has shown superior clinical outcomes compared to open aortic valve replacement surgery. The loss of the natural sense of touch, inherited from its minimally invasive nature, could lead to misplacement of the valve in the aortic annulus. In this study, a cylindrical optical fiber sensor is proposed to be integrated with valve delivery catheters. The proposed sensor works based on intensity modulation principle and is capable of measuring and localizing lateral force. The proposed sensor was constituted of an array of optical fibers embedded on a rigid substrate and covered by a flexible shell. The optical fibers were modeled as Euler–Bernoulli beams with both-end fixed boundary conditions. To study the sensing principle, a parametric finite element model of the sensor with lateral point loads was developed and the deflection of the optical fibers, as the determinant of light intensity modulation was analyzed. Moreover, the sensor was fabricated, and a set of experiments were performed to study the performance of the sensor in lateral force measurement and localization. The results showed that the transmitted light intensity decreased up to 24% for an external force of 1 N. Additionally, the results showed the same trend between the simulation predictions and experimental results. The proposed sensor was sensitive to the magnitude and position of the external force which shows its capability for lateral force measurement and localization.
Surface Electromyography Study Using a Low-Cost System: Are There Neck Muscles Differences When the Passenger Is Warned during an Emergency Braking Inside an Autonomous Vehicle?
Authors: Santos-Cuadros Silvia , Fuentes del Toro Sergio , Olmeda Ester , San Román José Luis
Published: August 2021

Deaths and serious injuries caused by traffic accidents is a concerning public health problem. However, the problem can be mitigated by the Autonomous Emergency Braking (AEB) system, which can avoid the impact. The market penetration of AEB is exponentially growing, and non-impact situations are expected to become more frequent. Thus, new injury patterns must be analysed, and the neck is particularly sensitive to sudden acceleration changes. Abrupt braking would be enough to be a potential risk for cervical spine injury. There is controversy about whether or not there are differences in cervical behaviour depending on whether passengers are relaxed or contract their muscles before the imminent accident. In the present manuscript, 18 volunteers were subjected to two different levels of awareness during an emergency braking test. Cervical muscles (sternocleidomastoid and trapezius) were analysed by the sEMG signal captured by means of a low-cost system. The differences observed in the muscle response according to gender and age were notable when passengers are warned. Gender differences were more significant in the post-braking phase. When passengers were relaxed, subjects older than 35 registered higher sEMG values. Meanwhile, when passengers contract their muscles, subjects who were younger than or equal to 35 years old experienced an increment in the values of the sEMG signals.
How Does Selective Reporting Distort Understanding of Workplace Injuries?
Authors: Geddert Kevin , Dekker Sidney , Rae Andrew
Published: August 2021

This study introduces and applies a new method for studying under-reporting of injuries. This method, “one-to-one injury matching”, involves locating and comparing individual incidents within company and insurer recording systems. Using this method gives a detailed measure of the difference in injuries recognised as “work-related” by the insurer, and injuries classified as “recordable” by the company. This includes differences in the volume of injuries, as well as in the nature of the injuries. Applying this method to an energy company shows that only 19% of injuries recognised by the insurer were recognised by the company as recordable incidents. The method also demonstrates where claiming behaviour and claims management have created systematic biases in the disposition of incidents. Such biases result in an inaccurate picture of the severity and nature of incidents, over-estimating strike injuries such as to the hand, and underestimating chronic and exertion injuries such as to the back.
What Affects Support for Wetland Tourism? A Case Study from Sri Lanka
Authors: Egresi István , Prakash Supun Lahiru , Maduraperruma Buddhika , Withanage Amila , Weerasingha Aruna , Dezsi Ştefan , Răcăşan Bianca Sorina
Published: August 2021

Development of sustainable tourism is not possible without the support and involvement of the local community. Thus, it would be beneficial to understand how residents perceive tourism development. This study investigates the main factors that influence residents’ support for tourism development in the context of wetland tourism. The study was conducted in one of the most extensive wetland areas in Sri Lanka, situated not far from the capital, Colombo. The main instrument for data collection was a survey applied both to residents living inside the Muthurajawela Wetland and to residents living outside but in the proximity of the wetland. The data collected were subsequently processed, evaluated, and explained using SPSS 26. Besides descriptive statistics, a binomial logistic regression was employed to understand which factors influence residents’ attitudes toward future tourism development. The study found that six factors could predict support for tourism development: gender, age, employment (connected or not to tourism), residence (inside or outside the wetland), interaction with tourists, and satisfaction with the current level of tourism development. The results were then discussed in the context of the extant literature and limitations were acknowledged.
Analysis of the Impact of Working Environment Factors on Employee’s Health and Wellbeing; Workplace Lighting Design Evaluation and Improvement
Authors: Králiková Ružena , Lumnitzer Ervin , Džuňová Laura , Yehorova Anna
Published: August 2021

In modern society, humans spend most of their time in the indoor environment (home, work, school...). This indoor lifestyle constantly poses challenges to our physical and mental health by affecting our hormone levels and circadian rhythm. This article deals with the possible connection between human and working environment factors and the emergence of health problems in connection with work. Using statistical methods, the dependence between the six characteristics (age, length of employment, visual demand of the work task, satisfaction with lighting conditions, and shift work) and occurrence of health-related problems and discomfort (i.e., eye discomfort, headache, eye fatigue, and seasonal affective disorder symptoms) was examined. The paper also deals with the evaluation of lighting conditions in the workshop using the lighting design software DIALux evo 9.2. Using this software, two lighting variants were modeled. The first simulated variant included lighting parameters according to the currently used luminaries and the second variant contained more efficient LED luminaries.
Remediation of Emerging Heavy Metals from Water Using Natural Adsorbent: Adsorption Performance and Mechanistic Insights
Authors: Khan Mehak Nawaz , Ullah Hidayat , Naeem Sundas , Uddin Jalal , Hamid Yasir , Ahmad Waqar , Ding Jia
Published: August 2021

The presence of potentially toxic metals in water causes a strong impact on environment and human health. In this study, activated biochar was produced by using chemical oxidation method from wheat straw as natural adsorbent and was employed for heavy metals competitive remediation. The morphology, structure, and chemical properties of biochar before and after adsorption were characterized by FTIR, XRD, SEM and EDX mapping techniques. The competitive adsorption efficiency of adsorbent for divalent cadmium (Cd) and lead (Pb) from contaminated water was investigated by using wide range of several initial metal concentration, contact time and pH. Maximum adsorption of Cd(II) and Pb(II) was found in the pH range of 6–8. The adsorption capacity for Cd(II) and Pb(II) was 8.85 and 9.03 mg/g, respectively. Thermodynamics parameters and kinetic models were applied to adsorption data. The isotherm data followed Langmuir model, corresponding to monolayer adsorption of the two ions in the contaminated water. The kinetic data followed the pseudo 2nd order kinetics model, which authenticates the chemisorption nature. The thermodynamic study indicated that Cd adsorption is a spontaneous exothermic process while Pb adsorption is an endothermic process. Mineral precipitation, surface complexation, and cation-π interactions are the major remediation strategies for Cd(II) and Pb(II).
Spent Coffee Grounds’ Valorization towards the Recovery of Caffeine and Chlorogenic Acid: A Response Surface Methodology Approach
Authors: Mitraka Georgia-Christina , Kontogiannopoulos Konstantinos N. , Batsioula Maria , Banias George F. , Assimopoulou Andreana N.
Published: August 2021

The amount of spent coffee grounds (SCGs) created, represents an environmental challenge worldwide. In this context, the aim of the present study was to exploit the potential of SCGs as a source of bioactive compounds that can be utilized in high value-added products. Thus, a cost-effective and environmentally friendly extraction technique was developed to ensure extracts with high total phenolic content and antioxidant activity, as well as significant amounts of caffeine and chlorogenic acid. Response surface methodology was implemented to evaluate the effects of the main extraction parameters (i.e., time, temperature, and ethanol-to-water ratio) and their interactions on the defined responses. The ethanol ratio was found to be the most significant variable. Then, a set of optimum values was determined (i.e., 7 min, 75 °C, and ethanol:water ratio 5:95), where the predicted values for responses were found to be 5.65% for the yield (Y1), 152.68 mg gallic acid equivalents per L for total phenolic content (Y2), 0.797 μmol Trolox equivalent per mL for the antioxidant activity (Y3), 30.5 ppm for caffeine concentration (Y4), and 17.4 ppm for chlorogenic acid concentration (Y5). Furthermore, the corresponding high experimental values from the validation experiment fitted well to these predictions, clearly clarifying the high potential of SCG extracts for use in high value-added applications.
Strategies for Structural and Energy Improvement in Mid-Rise Unreinforced Masonry Apartment Buildings. A Case Study in Mestre (Northeast Italy)
Authors: Sbrogiò Luca , Bevilacqua Carlotta , De Sordi Gabriele , Michelotto Ivano , Sbrogiò Marco , Toniolo Antonio , Tosato Christian
Published: August 2021

Two-thirds of the Italian building stock was already built by the 1970s, largely according to gravity load design and using economical materials and poor workmanship. Currently, the structures, fixtures, and fittings of these buildings have reached the end of their service life, and they require both an assessment and an update to meet new standards and new needs. As an example of a common type, this article deals with the assessment of the present state and the proposal of an integrated structural and architectural intervention on an existing brick masonry mid-rise apartment building in the suburbs of Venice, Northern Italy. The structural analysis highlights a moderate vulnerability, despite the low seismic hazard, and the energy analysis indicates that the highest management costs are due to heating and sanitary uses. Low-impact strategies are preferred for each aspect of the required interventions. Their costs are counterbalanced by (a) the reduction to a fifth of the present management costs; (b) a 20% average increase in the economic value of the flats; and (c) a favorable tax regime at the national level. Transformed into parametric values, also useful for large scale analyses, these costs resulted in a sustainable monthly instalment from the owners, who may also benefit from the increased quality of the place where they live.
Intra-City Industrial Collaborative Agglomeration, Inter-City Network Connectivity and Green Technology Innovation
Authors: Lin Shanlang , Chen Ziyang , He Ziwen
Published: August 2021

Using the panel data of 263 prefecture-level cities in China, this article explores the development of green technology innovation under the influence of intra-city industrial collaborative agglomeration and inter-city network connectivity. Regression results prove that both of them can enhance green technology innovation. However, further heterogeneity tests suggest that the promoting power of industrial collaborative agglomeration is only significant in the eastern, central and medium-level cities. Meanwhile, there is a significant negative moderating correlation between industrial collaborative agglomeration and network connectivity. This negative moderating effect is particularly significant in the eastern, high and low-level cities.
Food Security and Nutrition in Mozambique: Comparative Study with Bean Species Commercialised in Informal Markets
Authors: Charrua Alberto B. , Havik Philip J. , Bandeira Salomão , Catarino Luís , Ribeiro-Barros Ana , Cabral Pedro , Moldão Margarida , Romeiras Maria M.
Published: August 2021

In Mozambique (South-eastern Africa), Phaseolus vulgaris and Vigna spp. are important staple foods and a major source of dietary protein for local populations, particularly for people living in rural areas who lack the financial capacity to include meat in their daily dietary options. This study focuses on the potential for improving diets with locally produced nutritious legumes whilst increasing food security and income generation among smallholder farmers. Using bean species and varieties commercialised as dry legumes in the country, it sets out to characterize and compare the chemical properties of Phaseolus vulgaris and Vigna spp. among the most commercialised dry legume groups in Mozambique. The principal component analysis showed a clear separation between Phaseolus and Vigna species in terms of proximate composition, whereas protein content was quite uniform in both groups. It concludes that the introduction of improved cultivars of Phaseolus vulgaris and Vigna species maize–legume intercropping benefits yield, diets and increases household income with limited and low-cost inputs while enhancing the resilience of smallholder farmers in vulnerable production systems affected by recurrent drought and the supply of legumes to urban informal markets.
Can Malaysia’s National Affordable Housing Policy Guarantee Housing Affordability of Low-Income Households?
Authors: Liu Jian , Ong Huay Ying
Published: August 2021

Housing affordability is a long-held issue in Malaysia, and housing policies have been implemented for low-income households over the years. However, there is a contradiction that housing affordability of low-income households has not been met, while the bulk of affordable housing is still vacant. In 2019, Malaysia enacted the National Affordable Housing Policy (DRMM) which was intended to improve housing affordability for low-income groups. This paper aims to answer why Malaysia’s long-term implementation of affordable housing policies cannot guarantee housing affordability, and whether the DRMM can effectively improve housing affordability as expected, by comparing the empirical factors of housing affordability. A literature review and a comparative analysis are adopted in the research. The paper concludes that low household income, high land price, construction cost and compliance cost, mismatch of supply and demand in terms of quantity, the instability of the national economy, low home financing ability, and incomprehensive housing planning have caused low housing affordability of low-income groups in Malaysia. The DRMM as anticipated can improve housing affordability by supplying affordable housing more precisely, lowering housing costs, and improving home financing ability. However, the exclusion of household income and economic factors may cause the ineffectiveness of the DRMM in improving housing affordability for low-income households.
Engaging Farmer Stakeholders: Maize Producers’ Perceptions of and Strategies for Managing On-Farm Genetic Diversity in the Upper Midwest
Authors: McCluskey Cathleen , Tracy William F.
Published: August 2021

Debates about the genetic diversity of cultivated crops have riled the scientific community. While there have been studies on measuring genetic diversity among crop types, none have described on-farm genetic diversity in U.S. maize (Zea mays) because of patent restrictions. The approximately 36.5 million hectares of U.S. maize planted by farmers annually is carried out largely without them having knowledge of the seed genetic background. The literature shows a shrinking of genetic diversity in commercially available hybrids over time. Given the restrictions on the genetic information given to farmers about their maize seed and the risk it poses to their landscape, we conducted twenty exploratory interviews with farmers in the Upper Midwest regarding their perspectives of and strategies for managing on-farm genetic diversity in their maize crop. The data gathered suggest five themes: (1) managing surface diversity by planting multiple varieties; (2) navigating seed relabeling; (3) lacking clear access to genetic background information; (4) reliance on seed dealers when selecting varieties; and (5) limited quality genetics for organic systems. This study concludes that the lack of access to genetic background data for public researchers, including the United States Department of Agriculture and farmers, does not allow for vulnerability assessments to be carried out on the landscape and puts farmers at risk to crop failure.
Does CEO Power Backfire? The Impact of CEO Power on Corporate Strategic Change
Authors: Zhou Yu , Zhu Hongzhang , Yang Jun , Zou Yunqing
Published: August 2021

In today’s dynamic economic environment, enterprises must maintain sensitivity and flexibility when responding to the market through continuous strategic change. Anchored in the approach–inhibition theory of power, this study explores the relationship between CEO power and corporate strategic change and examines the moderating effects of company underperformance and product market competition. The study uses data from all A-share listed companies in China during 2006–2017. The results indicate that first, there is an inverted U-shaped relationship between CEO power and corporate strategic change. Appropriate centralization of CEO power helps promote corporate strategic change, whereas excessive centralization hinders strategic change. Second, low underperformance strengthens the inverted U-shaped relationship between CEO power and strategic change. Finally, high product market competition strengthens the inverted U-shaped relationship between CEO power and strategic change.
Sustainability Communication in Rural Tourism: Website Content Analysis, in Viseu Dão Lafões Region (Portugal)
Authors: Pato Maria Lúcia , Duque Ana Sofia
Published: August 2021

In the last few years, the relationship between tourism and sustainability has been consolidated. In the context of rural tourism, this connection is even stronger given the environmental specificities and the natural framework of this type of tourism. To achieve sustainability behaviors, it is crucial that rural tourism lodgings communicate their essence, as well the products and experiences available for tourists. This because it is a common practice for visitors to look for more information on the internet about where they will be staying, before booking their tourist experience. The main objective of this study is the analysis of the information provided by rural tourism lodgings, through their websites, regarding sustainability issues. The territory selected for the development of this study is the Portuguese Viseu Dão Lafões Region, located in the center of Portugal. Based on other studies, the methodology includes a content analysis, conducted on 39 rural tourism lodging websites. The results show that some improvements are needed, to clarify and emphasize the message about sustainable practices, in these rural lodgings. Some practical recommendations are provided, that can be adapted to these rural tourism lodgings, or others.
Inclusive Leisure as a Resource for Socio-Educational Intervention during the COVID-19 Pandemic with Care Leavers
Authors: Díaz-Esterri Jorge , De-Juanas Ángel , Goig-Martínez Rosa , García-Castilla Francisco Javier
Published: August 2021

The COVID-19 pandemic has led to a reduction in leisure activities involving human contact. Social isolation has increased, particularly amongst vulnerable individuals with a fragile support network, as is the case with young people who have left care. The aim of the present research was to identify socio-educational proposals and interventions implemented during the pandemic pertaining to leisure as a form of promoting social inclusion of these young people. To this end, a qualitative study was carried out in which twenty semi-structured interviews were conducted with young people who had left care system, in addition to fifteen interviews with professionals working with this group when delivering socio-educational interventions. Discourse analysis revealed that isolation due to the health crisis had greater repercussions in normalised settings in which leisure activity was reduced with this increasing risk of social inclusion amongst these young people. Proposals and experiences emerging from this setting provide evidence that socio-educational interventions targeting leisure facilitate social inclusion. In this sense, future lines of research are suggested to optimise the outcomes of socio-educational interventions within this group.
Hierarchical Longitudinal Control for Connected and Automated Vehicles in Mixed Traffic on a Signalized Arterial
Authors: Xiao Xiao , Zhang Yunlong , Wang Xiubin Bruce , Yang Shu , Chen Tianyi
Published: August 2021

This paper proposes a two-layer hierarchical longitudinal control approach that optimizes travel time and trajectories along multiple intersections on an arterial under mixed traffic of connected automated vehicles (CAV) and human-driven vehicles (HV). The upper layer optimizes the travel time in an optimization loop, and the lower layer formulates a longitudinal controller to optimize the movement of CAVs in each block of an urban arterial by applying optimal control. Four scenarios are considered for optimal control based on the physical constraints of vehicles and the relationship between estimated arrival times and traffic signal timing. In each scenario, the estimated minimized travel time is systematically obtained from the upper layer. As the results indicate, the proposed method significantly improves the mobility of the signalized corridor with mixed traffic by minimizing stops and smoothing trajectories, and the travel time reduction is up to 29.33% compared to the baseline when no control is applied.
Linking Lean Adoption and Implementation in Healthcare to National Cultures
Authors: Peimbert-García Rodrigo E. , Jorma Tapani , Cárdenas-Barrón Leopoldo Eduardo , Nucamendi-Guillén Samuel M. , García-Reyes Heriberto
Published: August 2021

Lean Healthcare (LHC) is a widely accepted approach to improve the quality of care around the world. This research compares two studies, which evaluated the adoption/implementation of LHC in Finland and Mexico, to understand how cultural similarities/differences influence LHC implementations. Data were gathered from previous questionnaire-based studies administered to healthcare professionals in both countries. Statistics (X2, p, and Wilcoxon tests) are used to compare both studies across topics related to adoption, introduction, integration, success, and barriers of LHC projects, and results are linked to cultural dimensions. Driven by economic savings, LHC has been more adopted in Finland than in Mexico (75/13%). Upon introduction, similarities are found in the way LHC projects are conducted, high project success rate, poor level of integration, and enabling/disabling factors. Conversely, differences were mainly found in the objectives of implementing LHC. These similarities/differences are linked to national factors involving culture, social structure, uncertainty management, time orientation, and indulgence level. In particular, uncertainty avoidance, equal rights’ structure, and a feminine culture are positive for implementing Lean. These findings can be a benchmark to evaluate cultural practices. Thus, this study provides insight into how national cultures relate to LHC and determined distinctive sociotechnical aspects that influence its adoption/implementation.
Uncertainty Analysis of Multisource Land Cover Products in China
Authors: Wang Longhao , Jin Jiaxin
Published: August 2021

Satellite-based land cover products play a crucial role in sustainability. There are several types of land cover products, such as qualitative products with discrete classes, semiquantitative products with several classes at a predetermined ratio, and quantitative products with land cover fractions. The proportions of land cover types in the grids with coarse resolution should be considered when used at the regional scale (e.g., modeling and remote sensing inversion). However, uncertainty, which varies with spatial distribution and resolution, needs to be studied further. This study used MCD12, ESA CCI, and MEaSURES VCF land cover data as indicators of qualitative, semiquantitative, and quantitative products, respectively, to explore the uncertainty of multisource land cover data. The methods of maximum area aggregation, deviation analysis, and least squares regression were used to investigate spatiotemporal changes in forests and nontree vegetation at diverse pixel resolutions across China. The results showed that the average difference in forest coverage for the three products was 8%, and the average deviation was 11.2%. For forest cover, the VCF and ESA CCI exhibited high consistency. For nontree vegetation, the ESA CCI and MODIS exhibited the lowest differences. The overall uncertainty in the temporal and spatial changes of the three products was relatively small, but there were significant differences in local areas (e.g., southeastern hills). Notably, as the spatial resolution decreased, the three products’ uncertainty decreased, and the resolution of 0.1° was the inflection point of consistency.
Using Naturalness for Assessing the Impact of Forestry and Protection on the Quality of Ecosystems in Life Cycle Assessment
Authors: Côté Sylvie , Beauregard Robert , Margni Manuele , Bélanger Louis
Published: August 2021

A novel approach is proposed to evaluate the impact of forestry on ecosystem quality in life cycle assessment (LCA) combining a naturalness assessment model with a species richness relationship. The approach is applied to a case study evaluating different forest management strategies involving concomitantly silvicultural scenarios (plantation only, careful logging only or the current mix of both) combined with an increasing share of protected area for wood production in a Québec black spruce forest. The naturalness index is useful to compare forest management scenarios and can help evaluate conservation needs considering the type of management foreseen for wood production. The results indicate that it is preferable to intensify forest management over a small proportion of the forest territory while ensuring strict protection over the remaining portion, compared to extensive forest management over most of the forested area. To explore naturalness introduction in LCA, a provisory curve relating the naturalness index (NI) with the potential disappeared fraction of species (PDF) was developed using species richness data from the literature. LCA impact scores in PDF for producing 1 m3 of wood might lead to consistent results with the naturalness index but the uncertainty is high while the window leading to consistent results is narrow.
Assessing Five Major Exploited Tuna Species in India (Eastern and Western Indian Ocean) Using the Monte Carlo Method (CMSY) and the Bayesian Schaefer Model (BSM)
Authors: Nisar Ubair , Ali Rafiya , Mu Yongtong , Sun Yu
Published: August 2021

The status of data-limited tuna fishery stocks in India has been tested using the latest and most advanced computerized methods, CMSY and BSM. Five tuna fish stocks from both the Eastern and Western Indian Ocean were assessed using both catch and catch per unit effort (CPUE) details available from 1990 to 2015. Both methods help to calculate the maximum sustainable yield (MSY) and exploitation of MSY relative to biomass (B/BMSY). The results of maximum intrinsic rate (r) and carrying capacity are also estimated. The results revealed that all tuna stocks in both the regions were overfished, with one, the longtail tuna (Thunnus tonggol) in the Western Indian Ocean strongly overfished (B/BMSY = 0.44). Such observations, although still preliminary since the techniques used to produce them are relatively new, often associated with the situation and exploitation of all the stock in question, making the CMSY and BSM methods promising for stock assessment in data-deficit situations. The study concludes that in order to restore the status of these five tuna stocks in both regions, it would be necessary to reduce the fishing pressure.
Evaluation of Water Circulation by Modeling: An Example of Nonpoint Source Management in the Yeongsan River Watershed
Authors: Lee Jong Mun , Park Minji , Park Bae Kyung , Choi Jiyeon , Kim Jinsun , Kim Kyunghyun , Kim Yongseok
Published: August 2021

Owing to urbanization, impervious areas within watersheds have continuously increased, distorting healthy water circulation systems by reducing soil infiltration and base flow; moreover, increases in surface runoff deteriorate water quality by increasing the inflow of nonpoint sources. In this study, we constructed a Hydrological Simulation Program—Fortran (HSPF) watershed model that applies the impervious area and can set medium- and long-term water circulation management goals for watershed sub-areas. The model was tested using a case study from the Yeongsan River watershed, Korea. The results show that impervious land-cover accounts for 18.47% of the upstream reach in which Gwangju City is located; approximately twice the average for the whole watershed. Depending on the impervious area reduction scenario, direct runoff and nonpoint source load could be reduced by up to 56% and 35%, respectively; the water circulation rate could be improved by up to 16%. Selecting management goals requires the consideration of both policy objectives and budget. For urban areas with large impervious cover, the designation of nonpoint source management areas is required. For new cities, it is necessary to introduce water circulation systems (e.g., low impact development techniques) to improve rainwater penetration and recharge and activate preemptive water circulation.
A Review of Energy Consumption in the Acquisition of Bio-Feedstock for Microalgae Biofuel Production
Authors: Chen Minghao , Chen Yixuan , Zhang Qingtao
Published: August 2021

Microalgae biofuel is expected to be an ideal alternative to fossil fuels to mitigate the effects of climate change and the energy crisis. However, the production process of microalgae biofuel is sometimes considered to be energy intensive and uneconomical, which limits its large-scale production. Several cultivation systems are used to acquire feedstock for microalgal biofuels production. The energy consumption of different cultivation systems is different, and the concentration of culture medium (microalgae cells contained in the unit volume of medium) and other properties of microalgae vary with the culture methods, which affects the energy consumption of subsequent processes. This review compared the energy consumption of different cultivation systems, including the open pond system, four types of closed photobioreactor (PBR) systems, and the hybrid cultivation system, and the energy consumption of the subsequent harvesting process. The biomass concentration and areal biomass production of every cultivation system were also analyzed. The results show that the flat-panel PBRs and the column PBRs are both preferred for large-scale biofuel production for high biomass productivity.