bluuebunny/crossref_metadata_2025 huggingface dataset:
Reliability of IMU-Based Gait Assessment in Clinical Stroke Rehabilitation
Authors: Felius Richard A. W. , Geerars Marieke , Bruijn Sjoerd M. , van Dieën Jaap H. , Wouda Natasja C. , Punt Michiel
Published: January 2022

Background: Gait is often impaired in people after stroke, restricting personal independence and affecting quality of life. During stroke rehabilitation, walking capacity is conventionally assessed by measuring walking distance and speed. Gait features, such as asymmetry and variability, are not routinely determined, but may provide more specific insights into the patient’s walking capacity. Inertial measurement units offer a feasible and promising tool to determine these gait features. Objective: We examined the test–retest reliability of inertial measurement units-based gait features measured in a two-minute walking assessment in people after stroke and while in clinical rehabilitation. Method: Thirty-one people after stroke performed two assessments with a test–retest interval of 24 h. Each assessment consisted of a two-minute walking test on a 14-m walking path. Participants were equipped with three inertial measurement units, placed at both feet and at the low back. In total, 166 gait features were calculated for each assessment, consisting of spatio-temporal (56), frequency (26), complexity (63), and asymmetry (14) features. The reliability was determined using the intraclass correlation coefficient. Additionally, the minimal detectable change and the relative minimal detectable change were computed. Results: Overall, 107 gait features had good–excellent reliability, consisting of 50 spatio-temporal, 8 frequency, 36 complexity, and 13 symmetry features. The relative minimal detectable change of these features ranged between 0.5 and 1.5 standard deviations. Conclusion: Gait can reliably be assessed in people after stroke in clinical stroke rehabilitation using three inertial measurement units.
Color-Dense Illumination Adjustment Network for Removing Haze and Smoke from Fire Scenario Images
Authors: Wang Chuansheng , Hu Jinxing , Luo Xiaowei , Kwan Mei-Po , Chen Weihua , Wang Hao
Published: January 2022

The atmospheric particles and aerosols from burning usually cause visual artifacts in single images captured from fire scenarios. Most existing haze removal methods exploit the atmospheric scattering model (ASM) for visual enhancement, which inevitably leads to inaccurate estimation of the atmosphere light and transmission matrix of the smoky and hazy inputs. To solve these problems, we present a novel color-dense illumination adjustment network (CIANet) for joint recovery of transmission matrix, illumination intensity, and the dominant color of aerosols from a single image. Meanwhile, to improve the visual effects of the recovered images, the proposed CIANet jointly optimizes the transmission map, atmospheric optical value, the color of aerosol, and a preliminary recovered scene. Furthermore, we designed a reformulated ASM, called the aerosol scattering model (ESM), to smooth out the enhancement results while keeping the visual effects and the semantic information of different objects. Experimental results on both the proposed RFSIE and NTIRE’20 demonstrate our superior performance favorably against state-of-the-art dehazing methods regarding PSNR, SSIM and subjective visual quality. Furthermore, when concatenating CIANet with Faster R-CNN, we witness an improvement of the objection performance with a large margin.
Evaluation of VDT-Induced Visual Fatigue by Automatic Detection of Blink Features
Authors: Yin Zhijie , Liu Bing , Hao Dongmei , Yang Lin , Feng Yongkang
Published: January 2022

This study evaluates the progression of visual fatigue induced by visual display terminal (VDT) using automatically detected blink features. A total of 23 subjects were recruited to participate in a VDT task, during which they were required to watch a 120-min video on a laptop and answer a questionnaire every 30 min. Face video recordings were captured by a camera. The blinking and incomplete blinking images were recognized by automatic detection of the parameters of the eyes. Then, the blink features were extracted including blink number (BN), mean blink interval (Mean_BI), mean blink duration (Mean_BD), group blink number (GBN), mean group blink interval (Mean_GBI), incomplete blink number (IBN), and mean incomplete blink interval (Mean_IBI). The results showed that BN and GBN increased significantly, and that Mean_BI and Mean_GBI decreased significantly over time. Mean_BD and Mean_IBI increased and IBN decreased significantly only in the last 30 min. The blink features automatically detected in this study can be used to evaluate the progression of visual fatigue.
Experimental Verification of Optimized Anatomies on a Serial Metamorphic Manipulator
Authors: Stravopodis Nikolaos , Valsamos Charalampos , Moulianitis Vassilis C.
Published: January 2022

The inherit complexity of the determination of the optimal anatomy and structure to task requirements and specification for metamorphic manipulators poses a significant challenge to the end user, as such methods and tools to undertake such processes are required for the implementation of metamorphic robots to real-life applications in various fields. In this work, the methodology for an offline process for the determination of the optimal anatomy maximizing performance under different requirements is presented. Such requirements considered in this work include the kinematic, kinetostatic and dynamic performance of the manipulator during task execution. The proposed methodology is then applied to a 3 D.o.F. metamorphic manipulator for different tasks. The presented results clearly show that a single metamorphic structure is able to provide the end user with different anatomies, each better suited to task specifications.
Multi-Mode Ultrasonic Guided Waves Based Damage Detection in L-Bars with Asymmetric Cross-Section with Sum of Multiple Signals Method
Authors: Yang Zhengyan , Zhang Jiaqi , Liu Kehai , Zheng Yuebin , Ma Shuyi , Wu Zhanjun
Published: January 2022

Bars are significant load-carrying components in engineering structures. In particular, L-bars are typical structural components commonly used in truss structures and have typical irregular asymmetric cross-sections. To ensure the safety of load-carrying bars, much research has been done for non-destructive testing (NDT). Ultrasonic guided waves have been widely applied in various NDT techniques for bars as a result of the long-range propagation, low attenuation, and high sensitivity to damages. Though good for inspection of ultrasonic guided waves in symmetric cross-section bar-like structures, the application in asymmetric ones lacks further research. Moreover, traditional damage detection in bars using ultrasonic guided waves usually depends on a single-mode at a lower frequency with lower sensitivity and accuracy. To make full use of all frequencies and modes, a multi-mode characteristic-based damage detection method is presented with the sum of multiple signals (SoM) strategy for L-bars with asymmetric cross-section. To control the desired mode in multi-mode ultrasonic guided waves, excitation optimization and weighted gathering are carried out by the analysis of the semi-analytical finite element (SAFE) method and the normal mode expansion (NME) method. An L-bar example with the asymmetric cross-section of 35 mm × 20 mm × 3 mm is used to specialize the proposed method, and some finite element (FE) models have been simulated to validate the mode control. In addition, one PZT is applied as a contrast in order to validate the multielement mode control. Then, more FE simulations experiments for damage detection have been performed to validate the damage detection method and verify the improvement in detection accuracy and damage sensitivity.
Study of HgCdTe (100) and HgCdTe (111)B Heterostructures Grown by MOCVD and Their Potential Application to APDs Operating in the IR Range up to 8 µm
Authors: Kopytko Małgorzata , Sobieski Jan , Gawron Waldemar , Martyniuk Piotr
Published: January 2022

The trend related to reach the high operating temperature condition (HOT, temperature, T > 190 K) achieved by thermoelectric (TE) coolers has been observed in infrared (IR) technology recently. That is directly related to the attempts to reduce the IR detector size, weight, and power dissipation (SWaP) conditions. The room temperature avalanche photodiodes technology is well developed in short IR range (SWIR) while devices operating in mid-wavelength (MWIR) and long-wavelength (LWIR) require cooling to suppress dark current due to the low energy bandgap. The paper presents research on the potential application of the HgCdTe (100) oriented and HgCdTe (111)B heterostructures grown by metal-organic chemical vapor deposition (MOCVD) on GaAs substrates for the design of avalanche photodiodes (APDs) operating in the IR range up to 8 µm and under 2-stage TE cooling (T = 230 K). While HgCdTe band structure with molar composition xCd < 0.5 provides a very favorable hole-to-electron ionization coefficient ratio under avalanche conditions, resulting in increased gain without generating excess noise, the low level of background doping concentration and a low number of defects in the active layer is also required. HgCdTe (100) oriented layers exhibit better crystalline quality than HgCdTe (111)B grown on GaAs substrates, low dislocation density, and reduction of residual defects which contribute to a background doping within the range ~1014 cm–3. The fitting to the experimentally measured dark currents (at T = 230 K) of the N+-ν-p-P+ photodiodes commonly used as an APDs structure allowed to determine the material parameters. Experimentally extracted the mid-bandgap trap concentrations at the level of 2.5 × 1014 cm−3 and 1 × 1015 cm−3 for HgCdTe (100) and HgCdTe (111)B photodiode are reported respectively. HgCdTe (100) is better to provide high resistance, and consequently sufficient strength and uniform electric field distribution, as well as to avoid the tunneling current contribution at higher bias, which is a key issue in the proper operation of avalanche photodiodes. It was presented that HgCdTe (100) based N+-ν-p-P+ gain, M > 100 could be reached for reverse voltage > 5 V and excess noise factor F(M) assumes: 2.25 (active layer, xCd = 0.22, k = 0.04, M = 10) for λcut-off = 8 μm and T = 230 K. In addition the 4-TE cooled, 8 μm APDs performance was compared to the state-of-the-art for SWIR and MWIR APDs based mainly on III-V and HgCdTe materials (T = 77–300 K).
sSfS: Segmented Shape from Silhouette Reconstruction of the Human Body
Authors: Krajnik Wiktor , Markiewicz Łukasz , Sitnik Robert
Published: January 2022

Three-dimensional (3D) shape estimation of the human body has a growing number of applications in medicine, anthropometry, special effects, and many other fields. Therefore, the demand for the high-quality acquisition of a complete and accurate body model is increasing. In this paper, a short survey of current state-of-the-art solutions is provided. One of the most commonly used approaches is the Shape-from-Silhouette (SfS) method. It is capable of the reconstruction of dynamic and challenging-to-capture objects. This paper proposes a novel approach that extends the conventional voxel-based SfS method with silhouette segmentation—segmented Shape from Silhouette (sSfS). It allows the 3D reconstruction of body segments separately, which provides significantly better human body shape estimation results, especially in concave areas. For validation, a dataset representing the human body in 20 complex poses was created and assessed based on the quality metrics in reference to the ground-truth photogrammetric reconstruction. It appeared that the number of invalid reconstruction voxels for the sSfS method was 1.7 times lower than for the state-of-the-art SfS approach. The root-mean-square (RMS) error of the distance to the reference surface was also 1.22 times lower.
A Simplified Measurement Configuration for Evaluation of Relative Permittivity Using a Microstrip Ring Resonator with a Variational Method-Based Algorithm
Authors: Joler Miroslav , Raj Alex Noel Joseph , Bartolić Juraj
Published: January 2022

In this paper, we present a simple yet efficient method for determination of the relative permittivity of thin dielectric materials. An analysis that led to definition of the proper size and placement of a sample under test (SUT) on the surface of a microstrip ring resonator (MRR) was presented based on the full-wave simulations and measurements on benchmark materials. For completeness, the paper includes short descriptions of the design of an MRR and the variational method-based algorithm that processes the measured values. The efficiency of the proposed method is demonstrated on 12 SUT materials of different thicknesses and permittivity values, and the accuracy between 0% and 10% of the relative error was achieved for all SUTs thinner than 2 mm.
Wavelength-Tunable Vortex Beam Emitter Based on Silicon Micro-Ring with PN Depletion Diode
Authors: Stepanov Ivan V. , Fatkhiev Denis M. , Lyubopytov Vladimir S. , Kutluyarov Ruslan V. , Grakhova Elizaveta P. , Neumann Niels , Khonina Svetlana N. , Sultanov Albert K.
Published: January 2022

Herein we propose a design of a wavelength-tunable integrated vortex beam emitter based on the silicon-on-insulator platform. The emitter is implemented using a PN-depletion diode inside a microring resonator with the emitting hole grating that was used to produce a vortex beam. The resonance wavelengths can be shifted due to the refractive index change associated with the free plasma dispersion effect. Obtained numerical modeling results confirm the efficiency of the proposed approach, providing a resonance wavelength shift while maintaining the required topological charge of the emitted vortex beam. It is known that optical vortices got a lot of attention due to extensive telecommunication and biochemical applications, but also, they have revealed some beneficial use cases in sensors. Flexibility in spectral tuning demonstrated by the proposed device can significantly improve the accuracy of sensors based on fiber Bragg gratings. Moreover, we demonstrate that the proposed device can provide a displacement of the resonance by the value of the free spectral range of the ring resonator, which means the possibility to implement an ultra-fast orbital angular momentum (de)multiplexing or modulation.
Comparative Assessment of Digital and Conventional Soil Mapping: A Case Study of the Southern Cis-Ural Region, Russia
Authors: Lozbenev Nikolai , Komissarov Mikhail , Zhidkin Andrey , Gusarov Artyom , Fomicheva Daria
Published: January 2022

Digital mapping was applied for a key site located at the Southern Cis-Ural region near Ufa city (the Republic of Bashkortostan, Russia). The digital soil map (DSM) was created using the open-source GIS software packages and compared to a conventional (CSM) one. As input parameters, we used standard morphometric values of the topography and field descriptions of soils, including the authors’ data. The DSM was created at the same scale (1:25,000) as the CSM, and soils of different classes were grouped according to the principle of genetic homogeneity and regional agroecological value. Comparing DSM and CSM showed several significant differences in the position, areas, and boundaries of hydromorphic soils and chernozems. The DSM has advantages over CSM at estimating smaller soil areas (areals) and their boundaries, in particular, on elevated topography elements (hills and steep slopes) and upper links of the erosion network (small dry valleys, hollows, and gullies). On the other hand, fluvial soils are mapped rather poorly by the digital approach, and CSM is more appropriate for such soils’ areals. The highest discrepancy is confined to the areas of eroded soils and fluvisols (15% and 12% of total area, respectively) due to significant differences in DSM and CSM approaches for such soil groups. We suppose that the digital method is effective and suitable for the Cis-Ural region, despite 57% soil taxa (types) prediction accuracy and the complexity of the territory by its ruggedness, erosion, and suffusion processes. The implementation and further use of digital mapping methods increase the quality of work, reduce its cost and terms in the region.
Stress Resistance of Saccharomyces cerevisiae Strains Overexpressing Yeast Polyphosphatases
Authors: Andreeva Nadeshda , Ryazanova Lubov , Ledova Larisa , Trilisenko Ludmila , Kulakovskaya Tatiana
Published: January 2022

Inorganic polyphosphate (polyP) is an important factor in the stress resistance of microorganisms. The polyphosphate-overexpressing strains of yeast S. cerevisiae were used as a model for studying the inter-relationship between stress resistance and polyP level. We compared the polyP level and resistance to the oxidative, manganese, cadmium, and alkaline stresses in parent stain CRN and in strains overexpressing the four yeast polyphosphatases: Ppx1, Ppn1, Ppn2, and Ddp1. Strains overexpressing Ppx1, Ppn1, and Ppn2 have lower polyP content and the strain overexpressing Ddp1 has the same polyP content as the parent strain. The strains overexpressing Ppn1 and Ddp1 show higher resistance to peroxide and manganese. The strain overexpressing Ppx1 showed a decrease in peroxide resistance. The strain overexpressing Ppn2 was more resistant to alkaline and peroxide stresses. A similar increase in resistance to the manganese and peroxide stresses of strains overexpressing Ppn1 and Ddp1, which differ in polyP content, led to the conclusion that there is no direct relationship between polyP content and variations in this resistance. Thus, we speculate about the potential role of inositol pyrophosphates as signaling molecules in stress response.
Reducing Carbon Emissions for the Vehicle Routing Problem by Utilizing Multiple Depots
Authors: Wang Sihan , Han Cheng , Yu Yang , Huang Min , Sun Wei , Kaku Ikou
Published: January 2022

Emission reductions could be achieved by replacing the single-depot mode with a multi-depot mode of vehicle routing. In our study, we identified situations under which multiple depots could be used to effectively reduce carbon emissions. We proposed a branch-and-price (BAP) algorithm to obtain an optimal solution for the multi-depot green vehicle routing problem. Based on the BAP algorithm, we accurately quantified the carbon emission reduction potential of the multi-depot mode over the single-depot mode. Factors such as the number of depots, vehicle speed, customer demand, and service time were considered and analyzed. Computational tests were conducted, and the results showed that using multiple depots in a vehicle routing problem can reduce carbon emissions by at most 37.6%. In sensitivity analyses, we show relationships between these factors, and several managerial insights that can be used to successfully reduce carbon emissions were summarized.
Sustainability through Resilient Collaborative Housing Networks: A Case Study of an Australian Pop-Up Shelter
Authors: Pablo Zelinna , London Kerry
Published: January 2022

The UN Sustainable Development Goal “Sustainable Cities and Communities” foregrounds access to adequate, safe, and affordable housing. However, housing as a sector has faced significant sustainability challenges. Countries such as Australia face unaffordable house prices, bottlenecks in social housing supply, and escalating homelessness. To address these challenges, the sector has turned to traditional government-led interventions meant to influence supply and demand. We argue that alongside these traditional approaches, there is a need for multi-stakeholder collaboration in resilient networks that create novel niche solutions, one being pop-up shelters or dwellings established in vacant structures. This study’s main aim is to identify key elements of these resilient, collaborative actor–networks. We mobilise actor–network theory concepts in a qualitative case study involving one of Australia’s first pop-up shelters. Findings from semi-structured interviews suggest that resilient networks exhibit distributed leadership, the ability to selectively interrogate entrenched routines, and the ability to mobilise differentiated levels of convergence. Such resilient networks play an important role in the development of environmentally and socially sustainable housing solutions. While often ad hoc, these networks can be made systematic through the selective use of digital technologies which do not compromise the more contingent, adaptive features of networks which are critical to resilience.
An Engine Exhaust Utilization System by Combining CO2 Brayton Cycle and Transcritical Organic Rankine Cycle
Authors: Ma Haoyuan , Liu Zhan
Published: January 2022

For engine exhaust gas heat recovery, the organic Rankine cycle (ORC) cannot be directly used due to the thermal stability and safety of organic fluids. Thus, a creative power system is given by integrating the supercritical CO2 Brayton cycle and transcritical ORC. This system can directly utilize the thermal energy of a high-temperature exhaust gas. The inefficiencies in the heat exchangers are highly reduced by using supercritical working fluid. The mathematical model of the system, covering both the thermodynamic and economic aspects, is built in detail. It is found that the highest irreversible loss takes place in the gas heater, taking 21.14% of the total exergy destruction. The ORC turbine and CO2 turbine have the priority for improvement, compared to the compressor and pump. The increase in CO2 turbine inlet pressure improves the system exergy efficiency and levelized cost of energy. Both the larger CO2 and ORC turbine inlet temperatures contribute to a decrease in levelized cost of energy and a rise in system exergy efficiency. There is a maximum value of system exergy efficiency and minimum value of levelized cost of energy by varying the ORC turbine inlet pressure. The determined exergy efficiency and levelized cost of energy in the proposed system are 54.63% and 36.95 USD/MWh after multi-objective optimization.
When Collaborative Water Governance Meets Authoritarian Environmentalism: The Dilemma of Safe Water Supply Project in Coal Mining Villages of China’s Shanxi Province
Authors: Yan Jian , Li Rongrong , Ran Ran
Published: January 2022

The framework of collaborative water governance (CWG) has been championed as a promising model for water management across the globe. China is a country confronted by serious water pollution and shortage problems. In recent years, many scholars and practitioners have turned to CWG as an effective model for water crisis management in China. However, the political nature of CWG and China’s Authoritarian Environmentalism is inherently conflictual, hence, the development of CWG in China poses a theoretical puzzle, i.e., how the bottom-up CWG model can coexist with the top-down Authoritarian Environmentalism in China’s water politics. To better understand this puzzle, this article explores CWG’s intertwinement with environmental authoritarianism through a case study of “safe water supply project” in 11 coal-mining villages in Shanxi province of North China. Drawing on fieldwork between 2019 and 2021 in H city of Shangxi province, this research shows that the central government’s pledge to provide safe water to every villager in rural China has not materialized so far. The dilemma of safe water supply in coal mining villages in H city shows that, on one side, the central government attempted to show its great will and commitment to providing safe water to everyone in rural China through an approach of environmental authoritarianism; while on the other side, the local governments tended to select the CWG model as a method for practical implementation as well as a blame avoidance strategy. Our study identifies five stakeholders in the villages’ safe water supply projects: the Department of Water Resources of the City Government, the Township Government, Coal Mining Enterprises, village cadres and villagers. The outcome of the safe water supply project in these villages is constrained by the transparency and trust deficit among stakeholders when facing cooperation and conflict management obstacles.
Operational Energy and Carbon Cost Assessment Model for Family Houses in Saudi Arabia
Authors: Alshamrani Othman , Alshibani Adel , Mohammed Awsan
Published: January 2022

In Saudi Arabia, housing projects account for almost half of the total electricity consumed by the construction industry because of the large number of housing projects compared to other types of buildings. This paper proposes a quantitative approach using a multiple linear regression assessment model to predict the energy cost and environmental cost of housing building in Saudi Arabia. It was developed to assist house owners in Saudi Arabia in estimating the monthly energy cost and associated operational carbon cost according to several predictor parameters. Based on related literature, these parameters were reviewed and discussed by experts from the Ministry of Housing. They included building location, wall type, number of occupants, window type, envelope insulation, building age, building area, number of air-conditioning units and their systems, and lighting system. The model development process included five main stages: collecting the energy and carbon cost data from completed operating housing units, categorizing the collected data based on parameters, diagnosing the quality of gathered data and filtering outlier data if any, building and generating a model, and lastly, testing and validating the model. More than 77 datasets were collected across the country during different times of the year. The findings of this study reveal that the relationship between the number of users and the building area with the energy cost is significant and that the number of users is more correlated to the energy cost than the age of the building or the number of central air conditioners installed. Moreover, the results show that the developed model has the ability to predict energy and carbon costs with high accuracy. The developed model serves as a decision support tool for householders and decision makers in the Ministry of Housing to control the predicted parameters. This would be beneficial for the housing unit owners for allocating constrained budgets.
New and Renewed Manufacturing Paradigms for Sustainable Production
Authors: Powell Daryl John , Romero David , Gaiardelli Paolo
Published: January 2022

Despite the difficulties created by the COVID-19 pandemic, the year 2020 ushered in a decade of ambitious actions aiming to deliver on the promises made in the United Nations’ Sustainable Development Goals by 2030 [...]
Developing a Catering Quality Scale for University Canteens in China: From the Perspective of Food Safety
Authors: Ji Yu-Gang , Ko Wen-Hwa
Published: January 2022

This study aimed to create a catering quality scale for university canteens in China. It is based on a questionnaire survey, with a total of 1302 distributed and 844 valid retrieved questionnaires, yielding a 64.8% recovery rate. Catering safety management, employee hygiene management, catering service, food quality, environmental atmosphere, and corporate social responsibility are the six topics primarily covered. In the first step of the scale, the dimensions were developed through EFA. Catering safety management includes kitchen safety, storage safety, and food safety. Employee hygiene management has two dimensions: Employee hygiene knowledge and employee management. Catering service includes service consciousness and a focus on consumers. Environmental atmosphere includes place management and place design. Further, corporate social responsibility encompasses social responsibility and taking care of employees. The second step of the scale involved conducting a CFA, which found a good overall fit of the scale. The results indicated good discriminant validity, convergent validity, and reliability. Moreover, the model comparison showed that the two-level, six-factor model was significantly better than other models.
An Assessment of Agricultural Vulnerability in the Context of Global Climate Change: A Case Study in Ha Tinh Province, Vietnam
Authors: Loi Duong Thi , Huong Le Van , Tuan Pham Anh , Hong Nhung Nguyen Thi , Quynh Huong Tong Thi , Hoa Man Bui Thi
Published: January 2022

Climate change is considered a major challenge of mankind in the 21st century. Agriculture is known as one of the most vulnerable sectors to climate change. This study aims to evaluate agricultural vulnerability to climate change in Ha Tinh province. The agricultural vulnerability zoning map is presented by using the index method with eight influential indicators across three components: exposure, sensitivity, and adaptive capacity. Agricultural vulnerability is quantified and classified into five levels, namely very low, low, moderate, high, and very high. The results indicated that Ha Tinh’s agriculture was heavily affected by climate change, and the most vulnerable area is found in Huong Khe district and Thach Ha district. People and their activities play an important role in mitigating the vulnerability of agriculture to climate change. The results obtained from this study provide useful information for planning and determining guidelines to help farmers in the area.
Integrated Nutrient Management Improves the Productivity and Nutrient Use Efficiency of Lens culinaris Medik.
Authors: Kumar Sandeep , Sharma Surendra Kumar , Thakral Sanjay Kumar , Bhardwaj Krishan Kumar , Jhariya Manoj Kumar , Meena Ram Swaroop , Jangir Chetan Kumar , Bedwal Sandeep , Jat Ram Dhan , Gaber Ahmed , Atta Ahmed A. , Hossain Akbar
Published: January 2022

Enhancing nutrient use efficiencies (NUEs) is an important factor in achieving the long-term sustainability of a production system. Our two-year experiment was aimed at accessing the NUEs of the integration of macro- and micronutrient fertilization responses of three lentil (Lens culinaris) cultivars. Three cultivars were planted in the main plots, and ten nutrient combinations were used in the sub-plots: N1, control; N2, 100% recommended dose of fertilizers (RDF) (20:40—N:P2O5); N3, vermicompost (VC) at 2 t ha−1; N4, 50% recommended dose of nitrogen (RDN) + 100% recommended dose of phosphorus (RDP) + VC at 1 t ha−1; N5, RDF + 0.5% ZnSO4; N6, RDF + 0.5% FeSO4; N7, RDF + 0.5% ZnSO4 + 0.5% FeSO4; N8, 50% RDN + 100% RDP + VC at 1 t ha−1 + 0.5% ZnSO4; N9, 50% RDN + 100% RDP + VC at 1 t ha−1 + 0.5% FeSO4; and N10, 50% RDN + 100% RDP + VC at 1 t ha−1 + 0.5% ZnSO4 + 0.5% FeSO4. The results show that the cultivar HM-1 (1.59–1.61 Mg ha−1) recorded a significantly higher seed yield than cultivars Sapna (1.31–1.33 Mg ha−1) and Garima (both 1.30 Mg ha−1), while the cultivar Sapna had significantly more stover yield (1.86–1.90 Mg ha−1) than cultivar HM-1 (1.68–1.73 Mg ha−1). Cultivar HM-1 was more efficient in terms of partial factor productivity for N (77.5–78.5 kg kg−1), P (48.2–48.7 kg kg−1), K (143.6–145.5 kg kg−1), Zn (1336–1352 kg kg−1), and Fe (417–421 kg kg−1) than Sapna and Garima. Application of 50% N + 100% P + VC at 1.0 t ha−1 + 0.5% ZnSO4 + 0.5% FeSO4 resulted in higher seed yield (1.63–1.65 Mg ha−1) and agronomic efficiency for N (26.3–28.8 kg kg−1), P (12.42–13.63 kg kg−1), and K (52.3–57.4 kg kg−1) over other tested practices in both years. Hence, it could be concluded that considering the integrated nutrient management paradigm including 10 kg N ha−1 coupled with 40 kg P2O5 ha−1 through synthetic fertilizers, vermicomposting 1.0 t ha−1 as an organic source and foliar spray of 0.5% each of ZnSO4 and FeSO4 (N10) produced a 56.8% higher seed yield than the control, in addition to improving nutrient dynamics and NUEs for N, P, K, Zn, and Fe. Therefore, integrated fertilization coupled with cultivar selection could help to achieve the long-term food and nutritional sustainability targeted by the Sustainable Development Goals (SDGs).
How Digital Platforms Enhance Urban Resilience
Authors: Qiu Dong , Lv Binglin , Chan Calvin M. L.
Published: January 2022

Throughout human history, natural and man-made disasters have devastated cities in unpredictable ways. Cities must therefore respond faster and better to minimize the risks posed by disasters. Nowadays, with the rapid development of communication technology, digital platforms are increasingly becoming an indispensable part of people’s lives; hence, they could become a new force for urban resilience. However, there are few studies on how digital platforms enhance urban resilience, so this paper attempts to use the method of CiteSpace (V.5.8.R3, 64 bit) scientometrics analysis and literature analysis to study the dimensions and trends of urban resilience, the role of digital platforms in the dimensions of urban resilience, especially focusing on how digital platforms impact on urban resilience during COVID-19. The results showed that there is considerable literature on natural disasters and infrastructure, but few papers discuss urban governance, knowledge systems, and social media. Furthermore, it is also found that digital platforms contributed to the enhancement of urban resilience in China and Singapore during COVID-19. These suggests that enhancing urban resilience through digital platforms can be a viable approach.
Impact of Environmental Factors and System Structure on Bioretention Evaporation Efficiency
Authors: Qian Jingming , Fu Dafang , Zhou Tong , Singh Rajendra Prasad , Miao Shujiang
Published: January 2022

Bioretention is an important low impact technology that has prominent stormwater detention and purification capacity. Current study focused on analyzing the impact of environmental factors and system structure on bioretention evaporation efficiency. In operational phase, the moisture content in bioretention packing changes constantly, directly affecting the stagnation efficiency of the bioretention. Therefore, it is very important to study the evaporation efficiency of the bioretention for objective evaluation of hydrologic effects. In this study, an artificial climate chamber was used to investigate the effect of environmental factors and bioretention structure on the evaporation efficiency of bioretention. The evaporation capacity of bioretention was analyzed under different temperature and relative humidity conditions in a laboratory-scale artificial climate chamber. The result showed that evaporation rate at the initial stage was close to the maximum evaporation capacity under an environmentally controlled rapid decrease. Results revealed that after 15 h, the evaporation rate decreased more than 60%, and the evaporation rate decreased rapidly at the higher temperature, whereas the evaporation rate in the third stage was low and stable. It was about 1 mm/d (0.82~1.1 mm/d) and formed a dry soil layer. The results revealed that cumulative evaporation of the bioretention with a submerged zone was notably higher than that without the submerged zone, and the cumulative evaporation after 50 h was 16.48% higher. In the second stage of evaporation, the decreasing amplitude of the evaporation capacity of bioretention with the submerged zone was also relatively slow. Moisture content in upper layers in bioretention packing was recharged from the bottom submerged zone by capillary action and water vapor diffusion. These research findings can be used to evaluate the hydrologic effect of bioretention and can also be used to guide its design.
Using Trophy Hunting to Save Wildlife Foraging Resources: A Case Study from Moyowosi-Kigosi Game Reserves, Tanzania
Authors: Musika Nyangabo V. , Wakibara James V. , Ndakidemi Patrick A. , Treydte Anna C.
Published: January 2022

Globally, the role of trophy hunting in wildlife conservation has been a topic of much debate. While various studies have focused on the financial contribution of trophy hunting towards wildlife conservation, little is known about whether hunting activities can protect wildlife forage resources. We examined the effect of illegal livestock grazing on wildlife habitat in operational and non-operational wildlife hunting blocks in Moyowosi-Kigosi Game Reserves (MKGR), Tanzania. We assessed whether the physical presence of hunting activities lowered illegal grazing and, thus, led to higher vegetation quality. We compared 324 samples of above-ground biomass (AGB) and grass cover between control (0.0007 cattle ha−1), moderately (0.02 cattle ha−1), and intensively (0.05 to 0.1 cattle ha−1) grazed hunting blocks. Likewise, we assessed soil infiltration, soil penetration, soil organic carbon (SOC), and soil Nitrogen, Phosphorus, and Potassium (N-P-K) across grazing intensity. Illegal grazing decreased AGB by 55%, grass cover by 36%, soil penetration by 46%, and infiltration rate by 63% compared to the control blocks. Illegal grazing further lowered SOC by 28% (F2,33 = 8, p < 0.002) but increased soil N by 50% (F2,33 = 32.2, p < 0.001) and soil K by 56% (H (2) = 23.9, p < 0.001), while soil P remained stable. We further examined if Hunting Company (HC) complements anti-poaching efforts in the Game Reserves (GR). We found that HC contributes an average of 347 worker-days−1 for patrol efforts, which is 49% more than the patrol efforts conducted by the GR. However, patrol success is higher for GR than HC (F1,21 = 116, p < 0.001), due to constant surveillance by HC, illegal herders avoided invading their hunting blocks. We conclude that illegal grazing severely reduced vegetation and soil quality in MKGR. We further claim that trophy hunting contributes directly to wildlife habitat preservation by deploying constant surveillance and preventing illegal grazing. We propose maintaining trophy hunting as an essential ecological tool in wildlife conservation.
Analysis of the Effect of Rural Tourism in Promoting Farmers’ Income and Its Influencing Factors–Based on Survey Data from Hanzhong in Southern Shaanxi
Authors: He Hong , Wang Shuxin , Tuo Shouheng , Du Jiankuo
Published: January 2022

Five years after the implementation of the tourism precision poverty alleviation strategy, how effective it has been in alleviating poverty remains to be tested. This study, through a study of 241 farm households in 10 national tourism poverty alleviation key villages in the Qinba Mountain region of Hanzhong, southern Shaanxi, finds that rural tourism has contributed to a general increase in farm household income, but the effect of income increase varies significantly between households that have escaped poverty and non-poor households, and there is no significant difference in income between those who participate in tourism and those who do not. The study concludes that the poverty-reducing effects of tourism are conditional, with the poor quality of human capital being the main obstacle to farm households’ income growth, the institutional mechanism for tourism participation is inadequate, effective farm household tourism participation is significantly low, and non-farm work constitutes a substitute for farm households’ tourism livelihood options. The primary stage tourism scenic spots have a limited role in driving the income of farming households, and the geographical location limits the effective participation of farming households. Accordingly, the following countermeasures are proposed: (1) in terms of strategic decision-making options, establish a screening mechanism for tourism participation in poverty alleviation and implement diversified poverty governance; (2) in terms of tourism development strategies, encourage the integration of multiple industries and synergistic development, realize the two-way interaction of “+ tourism” and “tourism +”; (3) in terms of development methods, adhere to the participatory development path, improve the institutional mechanism for tourism participation, stimulate the endogenous motivation of farmers, and explore the dynamic participation path of “bottom-up”. (4) In the development of endogenous power, strengthen skills training, improve the comprehensive quality of farmers and their participation level and ability; (5) In the coordination and protection, play the coordinating and leading role of grass-roots party building, and continuously cultivate and strengthen tourism cooperative organizations.
Meat Me Halfway: Sydney Meat-Loving Men’s Restaurant Experience with Alternative Plant-Based Proteins
Authors: Bogueva Diana , Marinova Dora , Bryant Christopher
Published: January 2022

Within the theoretical framework of psychological reactance and impression management, this study conducted in Sydney, Australia, in 2020–2021, explores the acceptance by men of alternatives to animal-based foods. Qualitative in-depth interviews were conducted with 36 men who have visited a vegan restaurant and have eaten a plant-based burger. The findings from the study show that, despite the increasing popularity of these novel food options, men are unlikely to include the plant-based alternatives as a permanent feature of their diets as explained by the theory of psychological reactance. However, the study’s male participants acknowledged the importance of women for their visit to the vegan restaurant which can be explained by impression management theory. Using excerpts from the interviews, men’s experience is highlighted, particularly as it relates to concerns linked to masculinity, dietary identity and social perception by others. The analysis reveals the complexity of transitioning to more sustainable food choices within a gender-constructed social environment. Whether the new plant-based alternatives to meat are going to be a short-lived trend or a more lasting option in the men’s diets is also discussed. Practical implications for social marketing as a tool to influence collective behaviour are drawn. They emphasise the role of women, changing social perceptions and transparency about the new plant-based products.
Meat Quality of Guinea Pig (Cavia porcellus) Fed with Black Soldier Fly Larvae Meal (Hermetia illucens) as a Protein Source
Authors: Herrera Esteban , Petrusan Janos-Istvan , Salvá-Ruiz Bettit , Novak Alexandra , Cavalcanti Kenyi , Aguilar Víctor , Heinz Volker , Smetana Sergiy
Published: January 2022

The most widely used feed ingredients in the world are fishmeal and soybean, which, despite having high-quality digestible protein and good fat content, are considered environmentally unsustainable and increasingly expensive. This issue also involves the guinea pig, a very important animal protein source for people in Andean regions in South America. Here we investigate the substitution of soybean meal with 50% and 100% black soldier fly larvae meal in the guinea pig diet and its effects on meat quality (fatty acid profile, amino acid profile, water-holding capacity, pH, proximal composition, and color). The results showed no differences in the protein content and amino acid profile of meat nor in the n-6:n-3 and P/S ratios, but did show an increment in the desirable fats (mono- and polyunsaturated fatty acids) in the guinea pigs fed with black soldier fly larvae meal. All the other analyzed parameters showed no differences among the diets tested. These results suggest that total replacement of soybean meal with black soldier fly larvae meal in guinea pig nutrition is feasible since meat quality was maintained or improved.
The Impact of Housing Densification on Shading Potential of Open Spaces: A Case Study
Authors: Asfour Omar S.
Published: January 2022

This study discusses housing densification as a sustainable housing strategy. Furthermore, it investigates how housing densification can improve the shading performance of open spaces with respect to row-house typology. The analysis considers a real-time case study of linear courtyards enclosed by row houses. Urban analysis was followed by a numerical shading analysis to examine the impact of housing attachment method (aligned or stepped) on courtyard shading potential. Row houses were found to be an acceptable housing densification solution in Saudi Arabia, with well-integrated open spaces. The stepped-attached housing pattern showed a higher potential for urban shading (by ~55% with an east–west orientation of row houses) than that of the aligned–attached pattern. In addition, the stepped-attached housing pattern improved the visual quality and created a serial visual effect. This study recommends the promotion of compact housing patterns in Saudi Arabia to reduce the rapidly increasing domestic electrical-energy demand and improve urban shading. Housing densification is considered as an effective passive design and planning strategy for this purpose.
Systematic Mapping of Digital Gap and Gender, Age, Ethnicity, or Disability
Authors: Longoria Inés Alvarez-Icaza , Bustamante-Bello Rogelio , Ramírez-Montoya María Soledad , Molina Arturo
Published: January 2022

Rapid technological evolution defines the first two decades of the millennium. This phenomenon has increased the digital gap, disparities, and inequalities in global and local contexts. This paper reports a systematic literature mapping of 180 articles published from 2000 to 2021 discussing the digital gap. The documents were retrieved using boolean operations in two databases, adding terms related to gender, age, ethnicity, and disabilities, focusing on population groups that are especially vulnerable to the effects of this phenomenon. The method included categorizing the retrieved documents to provide a general view of the most concerning topics in the academic and research community. This analysis concludes (a) the approaches to address this topic are diverse, as this is a multilayered, complex, and interconnected issue; (b) many studies refer to developed countries; however, fewer are those who observe or analyze the underdeveloped regions; (c) the majority of published papers in the last decade report information and communication technologies (ICT) and their role in bridging the gap, showing an opportunity area for designing these technologies considering more accessible approaches through flexible technology approaches; (d) this study’s results are a valuable source of information to identify the design requirements for accessible products and service systems. The last section provides a detailed explanation of the findings.
Understanding Urban Complexity via the Spatial Diversity of Activities: An Application to Barcelona (Spain)
Authors: Rueda Palenzuela Salvador , Santasusagna Riu Albert , Cormenzana Izquierdo Berta , Tort Donada Joan , Úbeda Xavier
Published: January 2022

Urban complexity can be measured by the numerical and spatial diversity of activities in a territory. Just as biodiversity can be measured in a natural ecosystem, diversity indices can be applied to urban settings. Urban diversity presents higher values in areas where there is a greater number of (economic, institutional, and social) activities with a high degree of differentiation between them. This study seeks to investigate the potential of applying an urban diversity index in a specific case study: namely, the city of Barcelona (Spain), known for the orthogonal grid plan of its Eixample district. Results show that the municipal territory of Barcelona as a whole is characterized by highly differentiated spaces according to their urban diversity values. Specifically, it is the Eixample district that presents the highest values of urban diversity, reflecting the densification of its morphology and its urban commercial policies.