bluuebunny/crossref_metadata_2025 huggingface dataset:
Review and Evaluation of MAC Protocols for Satellite IoT Systems Using Nanosatellites
Authors: Ferrer Tomás , Céspedes Sandra , Becerra Alex
Published: April 2019

Extending the internet of things (IoT) networks to remote areas under extreme conditions or for serving sometimes unpredictable mobile applications has increased the need for satellite technology to provide effective connectivity. However, existent medium access control (MAC) protocols deployed in commercial satellite networks were not designed to offer scalable solutions for the increasing number of devices predicted for IoT in the near future, nor do they consider other specific IoT characteristics. In particular, CubeSats—a low-cost solution for space technology—have the potential to become a wireless access network for the IoT, if additional requirements, including simplicity and low demands in processing, storage, and energy consumption are incorporated into MAC protocol design for satellite IoT systems. Here we review MAC protocols employed or proposed for satellite systems and evaluate their performance considering the IoT scenario along with the trend of using CubeSats for IoT connectivity. Criteria include channel load, throughput, energy efficiency, and complexity. We have found that Aloha-based protocols and interference cancellation-based protocols stand out on some of the performance metrics. However, the tradeoffs among communications performance, energy consumption, and complexity require improvements in future designs, for which we identify specific challenges and open research areas for MAC protocols deployed with next low-cost nanosatellite IoT systems.
Frequency Feature Learning from Vibration Information of GIS for Mechanical Fault Detection
Authors: Yuan Yang , Ma Suliang , Wu Jianwen , Jia Bowen , Li Weixin , Luo Xiaowu
Published: April 2019

The reliability of gas insulated switchgear (GIS) is very important for the safe operation of power systems. However, the research on potential faults of GIS is mainly focused on partial discharge, and the research on the intelligent detection technology of the mechanical state of GIS is very scarce. Based on the abnormal vibration signals generated by a GIS fault, a fault diagnosis method consisting of a frequency feature extraction method based on coherent function (CF) and a multi-layer classifier was developed in this paper. First, the Fourier transform was used to analyze the differences and consistency in the frequency spectrum of signals. Secondly, the frequency domain commonalities of the vibration signals were extracted by using CF, and the vibration characteristics were screened twice by using the correlation threshold and frequency threshold to further select the vibration features for diagnosis. Then, a multi-layer classifier composed of two one-class support vector machines (OCSVMs) and one support vector machine (SVM) was designed to classify the faults of GIS. Finally, the feasibility of the feature extraction method was verified by experiments, and compared with other classification methods, the stability and reliability of the proposed classifier were verified, which indicates that the fault diagnosis method promotes the development of an intelligent detection technology of the mechanical state in GIS.
EMERALD—Exercise Monitoring Emotional Assistant
Authors: Rincon Jaime A. , Costa Angelo , Carrascosa Carlos , Novais Paulo , Julian Vicente
Published: April 2019

The increase in the elderly population in today’s society entails the need for new policies to maintain an adequate level of care without excessively increasing social spending. One of the possible options is to promote home care for the elderly. In this sense, this paper introduces a personal assistant designed to help elderly people in their activities of daily living. This system, called EMERALD, is comprised of a sensing platform and different mechanisms for emotion detection and decision-making that combined produces a cognitive assistant that engages users in Active Aging. The contribution of the paper is twofold—on the one hand, the integration of low-cost sensors that among other characteristics allows for detecting the emotional state of the user at an affordable cost; on the other hand, an automatic activity suggestion module that engages the users, mainly oriented to the elderly, in a healthy lifestyle. Moreover, by continuously correcting the system using the on-line monitoring carried out through the sensors integrated in the system, the system is personalized, and, in broad terms, emotionally intelligent. A functional prototype is being currently tested in a daycare centre in the northern area of Portugal where preliminary tests show positive results.
Sock-Type Wearable Sensor for Estimating Lower Leg Muscle Activity Using Distal EMG Signals
Authors: Isezaki Takashi , Kadone Hideki , Niijima Arinobu , Aoki Ryosuke , Watanabe Tomoki , Kimura Toshitaka , Suzuki Kenji
Published: April 2019

Lower leg muscle activity contributes to body control; thus, monitoring lower leg muscle activity is beneficial to understand the body condition and prevent accidents such as falls. Amplitude features such as the mean absolute values of electromyography (EMG) are used widely for monitoring muscle activity. Garment-type EMG measurement systems use electrodes and they enable us to monitor muscle activity in daily life without any specific knowledge and the installation for electrode placement. However, garment-type measurement systems require a high compression area around the electrodes to prevent electrode displacement. This makes it difficult for users to wear such measurement systems. A less restraining wearable system, wherein the electrodes are placed around the ankle, is realized for target muscles widely distributed around the shank. The signals obtained from around the ankle are propagated biosignals from several muscles, and are referred to as distal EMG signals. Our objective is to develop a sock-type wearable sensor for estimating lower leg muscle activity using distal EMG signals. We propose a signal processing method based on multiple bandpass filters from the perspectives of noise separation and feature augmentation. We conducted an experiment for designing the hardware configuration, and three other experiments for evaluating the estimation accuracy and dependability of muscle activity analysis. Compared to the baseline based on a 20-500 Hz bandpass filter, the results indicated that the proposed system estimates muscle activity with higher accuracy. Experimental results suggest that lower leg muscle activity can be estimated using distal EMG signals.
Active Surveillance of Musculoskeletal Disorder Symptoms in the Development of Safety Interventions for Professional Loggers
Authors: Lagerstrom Elise , Magzamen Sheryl , Brazile William , Rosecrance John
Published: April 2019

Logging is one of the most dangerous occupations in the world. Logging tasks, whether they consist of operating a chainsaw, operating a mechanized harvester, or driving logging trucks, have an influence on the types of hazards and injuries among professional loggers. Using the Standardized Nordic Questionnaire, we investigated the 12-month period prevalence of musculoskeletal disorder symptoms (MSS) among professional loggers in the mountainous region of Montana. We also differentiated the prevalence of MSS based on logging system-type accounting for demographic and workplace covariates. Based on data from 743 professional loggers in Montana, loggers using conventional felling practices with chainsaws were more than twice as likely to report MSS (Odds Ratio (OR): 2.24 (1.07–4.69)) than those using mechanized logging equipment. In addition, increased MSS scores were associated with conventional harvesting systems, increased years of experience, and increased BMI. The active surveillance of MSS among professional loggers in Montana resulted in recommendations for safety interventions. The safety interventions included a greater mechanization of logging tasks and early career training on the heavy equipment used in logging operations.
Victims, Criminal Justice and State Compensation
Authors: Miers David
Published: April 2019

This article examines one element of the state’s responses to crime: the provision of a taxpayer-funded compensation scheme for victims of personal and sexual violence. The Criminal Injuries Compensation Scheme 2012 sits within a political context that seeks to ensure that victims of crime are better served by the criminal justice system of England and Wales, the jurisdiction that is the focus of this article. The government’s fundamental policy is that this scheme exists to compensate only those victims who are ‘blameless’, either in terms of their character, criminal record, conduct at the time of the incident, or in their engagement with the criminal justice agencies. It is a policy that illuminates elements of two of the questions that the editors posed for this Special Issue of Societies. Reviewing the increased urgency in government policies concerning the treatment of victims of crime, the first section addresses the question of how, why and when victims came to shape political and criminal justice discourse and practice. The question of how, and to what end, cultural representations have shaped perceptions of victims is addressed in the second and third sections, which examine the notion of victim status and illustrate the ways in which eligible (‘ideal’) victims are perceived and their claims under this scheme are determined.
Peak Power Output Is Similarly Recovered After Three- and Five-Days’ Rest Following Sprint Interval Training in Young and Older Adults
Authors: Yasar Zerbu , Dewhurst Susan , Hayes Lawrence D.
Published: April 2019

(1) Background: High-intensity interval training (HIIT) exerts effects indicative of improved health in young and older populations. However, prescribing analogous training programmes is inappropriate, as recovery from HIIT is different between young and older individuals. Sprint interval training (SIT) is a derivative of HIIT but with shorter, maximal effort intervals. Prior to prescribing this mode of training, it is imperative to understand the recovery period to prevent residual fatigue affecting subsequent adaptations. (2) Methods: Nine older (6M/3F; mean age of 70 ± 8 years) and nine young (6M/3F; mean age of 24 ± 3 years) participants performed a baseline peak power output (PPO) test. Subsequently, two SIT sessions consisting of three repetitions of 20 s ‘all-out’ stationary cycling bouts interspersed by 3 minutes of self-paced recovery were performed. SIT sessions were followed by 3 days’ rest and 5 days’ rest on two separate occasions, in a randomised crossover design. PPO was measured again to determine whether recovery had been achieved after 3 days or after 5 days. (3) Results: Two-way repeated measure (age (older, young) × 3 time (baseline, 3 days, 5 days)) ANOVA revealed a large effect of age (p = 0.002, n2p = 0.460), with older participants having a lower PPO compared to young participants. A small effect of time (p = 0.702, n2p = 0.022), and a medium interaction between age and time (p = 0.098, n2p = 0.135) was observed. (4) Conclusions: This study demonstrates both young and older adults recover PPO following 3 and 5 days’ rest. As such, both groups could undertake SIT following three days of rest, without a reduction in PPO.
RETRACTED: The Effects of Acute Caffeine Supplementation on Performance in Trained CrossFit Athletes
Authors: Stein Jesse , Ramirez Melitza , Heinrich Katie
Published: April 2019

Caffeine’s ergogenic effects persist during various exercise modalities; however, information establishing its efficacy during CrossFit protocols is limited. Our study aimed to determine the effects of caffeine supplementation on CrossFit performance. Thirteen CrossFit-trained men (age = 28.5 ± 6.6 years, experience = 49.2 ± 36.3 months) were randomized in a double-blind, crossover design. Participants completed two sessions separated by a seven-day washout period, 60 min after consuming 5 mg/kg body mass of caffeine or a placebo. In each session, participants completed as many rounds as possible in 20 min of 5 pull-ups, 10 push-ups, and 15 air squats. CrossFit performance was the total number of repetitions completed in 20 min. Paired samples t-tests were used to compare CrossFit performance between caffeine and placebo conditions and to test for a potential learning effect between the first and second sessions. CrossFit performance was significantly higher during the caffeine condition compared to the placebo (461.4 ± 103 vs. 425.0 ± 93.5 repetitions, p < 0.05). No significant learning effect was identified between the first and second sessions (445.6 ± 95.0 vs. 440.8 ± 105.0 repetitions, p = 0.73) nor was there a significant treatment order effect (p = 0.40). Caffeine’s ergogenic effect is present during CrossFit; however, future investigations should establish caffeine’s efficacy during other CrossFit protocols and among female athletes.
Water Efficiency and Management in Sustainable Building Rating Systems: Examining Variation in Criteria Usage
Authors: Al-Qawasmi Jamal , Asif Muhammad , El Fattah Ahmed Abd , Babsail Mohammad O.
Published: April 2019

The building sector, due to the significant energy and environmental footprints it creates, needs to adopt sustainable approaches to help prevent global warming and climate change. Sustainable Building (SB) rating systems have been developed around the world as a method to promote sustainability in this sector. Water is one of the most vital natural resources, and is extensively consumed in the building sector. This article examines the coverage of water-related aspects in 11 prominent SB rating systems under the three key sustainability dimensions: environmental, economic, and social, using a comprehensive coverage analysis approach. Findings highlight a wide range of variation between the examined SB rating systems in terms of water attributes being assessed, water assessment criteria used, the optimal number of these criteria, and the weight assigned to them. Results also show that in general, most of the examined systems exhibit low representativeness and comprehensive coverage of major water subcategories and themes related to sustainable buildings. However, some moderate to high comprehensive coverage was found in water attributes that focus on the environmental and social aspects. The results indicate that representative and comprehensive coverage of social-related water attributes are less than that of environment-related water attributes. The results also highlighted the effectiveness of using coverage analysis techniques as a systematic and efficient way to assess comprehensive coverage of water criteria in SB rating systems.
Beyond the City: Effects of Urbanization on Rural Residential Energy Intensity and CO2 Emissions
Authors: Chen Qiu , Yang Haoran , Wang Wenguo , Liu Tianbiao
Published: April 2019

Trends of rural residential energy consumption and CO2 emission should be evaluated in a broader context of urbanization, especially in developing countries where urbanization is in its expanding stage. In this study, we use the STIRPAT model and various panel regression techniques to explore the impact of urbanization on rural residential energy consumption and CO2 emission by using data from Southwest China. The results show that a higher urbanization level contributes to higher total residential energy intensity. Increases in net income per capita can decrease the intensities of traditional biomass energy and non-biomass energy, while industrialization has a negative effect only on non-biomass energy intensity. Land use change driven by urbanization can also lower the intensities of total residential energy, traditional biomass energy and non-biomass energy. Moreover, the impact of total residential energy intensity on emissions is positive. Particularly, traditional biomass energy accounts for most of CO2 emissions derived from the use of residential energy. As urbanization is expected to increase in the developing world and lead to more CO2 emissions from rural areas, policies which intend to reduce the intensity of traditional biomass energy, promote biogas and industrialization, and raise net income of rural residents can be used as effective mitigation strategies.
The Integration of RoRo Shipping in Sustainable Intermodal Transport Chains: The Case of a North European RoRo Service
Authors: Christodoulou Anastasia , Raza Zeeshan , Woxenius Johan
Published: April 2019

Roll on–roll off (RoRo) shipping represents a maritime segment that could easily form part of an intermodal transport system, as cargo does not need to be lifted in ports; it is ‘rolled’ to and from sea. This paper investigates the operation of RoRo shipping services in Northern Europe, focusing on a set of services chartered by a major shipper whose demand has a great impact on the service design, potentially affecting the frequency of departures and even stipulating the use of specific vessels. The case of cooperation between Stora Enso, a major forest company in Sweden and Finland, and the shipping company Swedish Orient Line (SOL) is analysed, giving some insight into the way these RoRo services operate and manage to integrate successfully into sustainable intermodal transport chains. Despite various initiatives taken by different stakeholders, the level of integration of shipping in intermodal transport chains has been quite slow. This paper’s results could contribute to the identification of barriers that prevent RoRo shipping from being a viable alternative to road transport for certain transport routes and assist in the discovery of policies and incentives that could lead to developing sustainable intermodal transport chains.
3D Digital Heritage Models as Sustainable Scholarly Resources
Authors: Champion Erik , Rahaman Hafizur
Published: April 2019

If virtual heritage is the application of virtual reality to cultural heritage, then one might assume that virtual heritage (and 3D digital heritage in general) successfully communicates the need to preserve the cultural significance of physical artefacts and intangible heritage. However, digital heritage models are seldom seen outside of conference presentations, one-off museum exhibitions, or digital reconstructions used in films and television programs. To understand why, we surveyed 1483 digital heritage papers published in 14 recent proceedings. Only 264 explicitly mentioned 3D models and related assets; 19 contained links, but none of these links worked. This is clearly not sustainable, neither for scholarly activity nor as a way to engage the public in heritage preservation. To encourage more sustainable research practices, 3D models must be actively promoted as scholarly resources. In this paper, we also recommend ways researchers could better sustain these 3D models and assets both as digital cultural artefacts and as tools to help the public explore the vital but often overlooked relationship between built heritage and the natural world.
Stories of Transformation: A Cross-Country Focus Group Study on Sustainable Development and Societal Change
Authors: Wibeck Victoria , Linnér Björn-Ola , Alves Melisa , Asplund Therese , Bohman Anna , Boykoff Maxwell T. , Feetham Pamela M. , Huang Yi , Nascimento Januario , Rich Jessica , Rocha Charles Yvon , Vaccarino Franco , Xian Shi
Published: April 2019

Societal transformation is one of the most topical concepts in sustainability research and policy-making. Used in many ways, it indicates that nonlinear systematic changes are needed in order to fully address global environmental and human development challenges. This paper explores what sustainability transformations mean for lay focus group participants in Cabo Verde, China, Fiji, Sweden, and the USA. Key findings include: (a) Tightly linked to interpersonal relationships, sustainability was seen as going beyond the Sustainable Development Goals to include a sense of belonging; (b) transformations were framed as fundamental changes from today’s society, but most participants stated that transformation pathways need to splice new structures into the old; (c) new technologies are key engines of change. Yet, the most common drivers were awareness, education, and knowledge sharing; and (d) regardless of whether state-centric or decentralized governance was preferred, personal action was seen as essential. The focus groups displayed a shared understanding across the geographical settings; a common realization of profound sustainability predicaments facing societies across the world; and a desire for fundamental change towards a more sustainable way of life.
Social Media Usage and Tertiary Students’ Academic Performance: Examining the Influences of Academic Self-Efficacy and Innovation Characteristics
Authors: Boahene Kingsley Osei , Fang Jiaming , Sampong Frank
Published: April 2019

The universal growth of social media usage among tertiary students has been linearly associated with academic performance. As social media use continues its constant growth, its application among tertiary students is inevitable. Its influence on academic performance turns out to be an ever more important question to think about. Researchers have mixed results, some found social media usage having little to no effect, and others found negative and positive effects on academic performance. Using a sample of 808 students in ten public tertiary institutions, this study makes an effort on how to deal with these differing outcomes and to investigate the effect of social media usage on tertiary students’ academic performance. We explored the relationship of the frequency of students’ use of social media for educational purposes and their academic performance, as measured by their cumulative grade point average (i.e., CGPA) with academic self-efficacy and innovation characteristics as mediator and moderator, respectively. The results revealed that social media usage for educational purposes positively related to academic performance. It also demonstrated that the use of social media can negatively affect academic performance. This study makes it more noticeable the effect of academic self-efficacy as a mediator in further improving the academic performance of students. Additionally, the empirical results of the study demonstrated that the moderating effect of innovation characteristics between social media usage and academic performance was stronger. The practical relevance of the study is to help governments, politicians, policy makers, students, educational institutions, and other stakeholders to carve specific policies, guidelines, and initiatives in support of social media usage as an innovative and effective tool for learning and sustainable academic performance.
Research on Population-Land-Industry Relationship Pattern in Underdeveloped Regions: Gansu Province of Western China as an Example
Authors: Ma Libang , Chen Meimei , Che Xinglong , Fang Fang
Published: April 2019

Urbanization is a three-dimensional process including population, spatial, and economic changes. The coordination among the three dimensions is the key to sustainable urban development. Here, a population-land-industry index system of urbanization is constructed, and the degree of coupling and mutual feedback among population urbanization, land urbanization, and industrial urbanization are analyzed. The urbanization patterns and their spatiotemporal variation are identified. The results show that: (1) Population and land urbanization proceeded slowly in Gansu Province and their trends were similar, whereas industry urbanization proceeded faster than the two. From a spatial perspective, population, land, and industrial urbanization levels (PUi, LUi, and IUi) decreased from southwest to northeast. The coupling degree of population, land, and industrial urbanization increased from 1998 to 2016 and showed significant spatial variation, decreasing from northwest to southeast. (2) Population, land, and industry all play a role in urbanization. PUi was significantly and positively correlated with LUi. However, there was no significant correlation between IUi and PUi and between IUi and LUi. The improvement of PUi, LUi, and IUi effectively promoted the coupling degree of population, land, and industrial urbanization. (3) Seven urbanization patterns were identified in Gansu Province and evaluation units with the same urbanization pattern tended to be spatially close to each other. IUi > PUi > LUi (IX), IUi > LUi > PUi (X) and IUi > PUi = LUi (XI) were the dominant urbanization patterns. There was crisscross distribution of various urbanization patterns and, thus, it was not easy to observe the agglomeration center of certain urbanization pattern. (4) The urbanization pattern of the same evaluation unit changed with time. This change was mainly reflected in the change of relationship between population and land urbanization. Urbanization pattern changed more significantly in 2008–2016 than in 1998–2008. The changes were dominant by IX→XI, X→XI, XI→IX, and XI→X.
Value Chains for Industrial Biotechnology in the Bioeconomy-Innovation System Analysis
Authors: Wydra Sven
Published: April 2019

Industrial Biotechnology (IB) is considered as a key technology with a strong potential to generate new growth, spur innovation, increase productivity, and tackle environmental and climate challenges. Industrial Biotechnology is applied in many segments of the bioeconomy ranging from chemicals, biofuels, bioenergy, bio-based plastics, and other biomaterials. However, the segments differ profoundly regarding volume, price, type, and amount of needed feedstock, market condition, societal contributions as well as maturity, etc. This article aims to analyse a set of five different value chains in the technological innovation system (TIS) framework in order to derive adequate policy conclusions. Hereby, we focus on quite distinctive value chains to take into account the high heterogeneity of biotechnological applications. The analysis points out that policy maker have to take into account the fundamental differences in the innovation systems and to implement differentiated innovation policy to address system weaknesses. In particular, market formation is often the key bottleneck innovation systems, but different policy instruments for various application segments needed.
Fiscal Decentralization, Local Competitions and Sustainability of Medical Insurance Funds: Evidence from China
Authors: Qian Wenqiang , Cheng Xiangyu , Lu Guoying , Zhu Lijun , Li Fei
Published: April 2019

Local governments are responsible for the management of social medical insurance for urban and rural residents in China. Under the background of fiscal decentralization between the central government and local governments, the strengthening of supervision on medical insurance funds by local governments leads to a reduction in the expenditure of the medical insurance fund, which contributes to its sustainability. By employing the provincial level panel data during 2004–2014, we used a fixed effect model and a spatial autoregression model to investigate whether fiscal decentralization has had a negative influence on the expenditure of China’s new rural cooperative medical system (NCMS) fund. We found that fiscal decentralization has had a significant influence over its per capita expenditure. Our results also indicate that higher fiscal decentralization leads to higher financial aid in the NCMS provided by local governments. Additionally, the expenditure of the NCMS and the local financial aid are influenced by nearby governments. Our results suggest that appropriate fiscal decentralization, which helps to maintain the sustainability of social medical insurance funds, should be encouraged.
Impacts of Environmental Factors on Waste, Energy, and Resource Management and Sustainable Performance
Authors: Ali Mohd Helmi , Zailani Suhaiza , Iranmanesh Mohammad , Foroughi Behzad
Published: April 2019

The management of waste, energy, and resources has received special attention from academics and practitioners due to the growing evidence for its effects on the environment. The aim of this study is to investigate the environmental drivers of waste, energy, and resource management and, in turn, its effect on the sustainable performance of manufacturing firms. The data were collected from a survey of 173 large manufacturing firms in Malaysia and analysed using partial least squares. The results indicate that although environmental regulatory pressure, customer pressure, environmental uncertainty, and expected business benefits have positive effects on the extent of waste, energy, and resource management, social responsibility has no effect. Furthermore, waste, energy, and resource management has a positive effect on the sustainable performance of large manufacturing firms. The findings of this study extend the knowledge of the drivers and outcomes of waste, energy, and resource management. The results can help policymakers to adjust policies and strategies in a way to inspire managers to implement waste, energy, and resource management.
Cost-Effective Options for the Renovation of an Existing Education Building toward the Nearly Net-Zero Energy Goal—Life-Cycle Cost Analysis
Authors: Hu Ming
Published: April 2019

A comprehensive case study on life-cycle cost analysis (LCCA) was conducted on a two- story education building with a projected 40-year lifespan in College Park, Maryland. The aim of this paper was to (1) create a life cycle assessment model, using an education building to test the model, (2) compare the life cycle cost (LCC) of different renovation scenarios, taking into account added renewable energy resources to achieve the university’s overall carbon neutrality goal, and (3) verify the robustness of the LCC model by conducting sensitivity analysis and studying the influence of different variables. Nine renovation scenarios were constructed by combining six renovation techniques and three renewable energy resources. The LCCA results were then compared to understand the cost-effective relation between implementing energy reduction techniques and renewable energy sources. The results indicated that investing in energy-efficient retrofitting techniques was more cost-effective than investments in renewable energy sources in the long term. In the optimum scenario, renovation and renewable energy, when combined, produced close to a 90% reduction in the life cycle cost compared to the baseline. The payback period for the initial investment cost, including avoided electricity costs, varies from 1.4 to 4.1 years. This suggests that the initial investment in energy-efficient renovation is the primary factor in the LCC of an existing building.
Identification and Analysis of Attributes for Industrial Food Waste Management Modelling
Authors: Garcia-Garcia Guillermo , Woolley Elliot , Rahimifard Shahin
Published: April 2019

Due to the large quantities of food waste generated by manufacturers and the associated environmental impact of these waste streams, improving food waste management is vital for achieving a more sustainable food system. Management of food waste can be complex and the most appropriate methods may not always be selected. There are a range of aspects to consider in order to select the most sustainable option to manage food waste, such as the specific type of food waste generated, waste management options available, characteristics of food companies that generate food waste, features of the waste management processors that will manage it, and the sustainability implications of dealing with the food waste. To support food waste management decision making, this paper presents a modelling procedure to assist in identifying what type and range of information is needed to model food waste management systems, allowing the user to follow a systematic methodology to make more informed decisions. This procedure is based on the identification and analysis of qualitative and quantitative attributes necessary to model food waste management and an assessment of their relationships. Specifically, it describes a process to ensure that all relevant attributes are considered during the decision-making process. A case study with a large UK food and drink manufacturer is used to demonstrate the applicability and usefulness of this procedure. In conclusion, the systematic procedure presented in this paper provides a methodology to identify opportunities to improve the sustainability of industrial food waste management. The data obtained can be used to further undertake a life-cycle assessment study and/or to apply existing socio-economic methodologies to thoroughly assess impacts and benefits of food waste management.
Restrictive Effects of Water Scarcity on Urban Economic Development in the Beijing-Tianjin-Hebei City Region
Authors: Li Yuanjie , Zhang Zhuoying , Shi Minjun
Published: April 2019

This study provides a scientific assessment of water scarcity in the Beijing-Tianjin-Hebei (BTH) city region and investigates its restrictive effects on urban economic development by quantifying economic loss caused by water scarcity based on an input–output optimization model. The results show that the water scarcity reflected by shadow prices has significant sectoral and regional heterogeneities. Southern Hebei faces the most severe water scarcity in the BTH city region and the situation is worsening. Water scarcity is shown to have a negative impact on the economy of the BTH city region that amounts to CNY 270.02 billion. Hebei has the largest potential economic loss caused by water scarcity, especially in southern Hebei, the potential GDP (gross domestic product) of which is decreased by 6.2%. This study also points out that the water scarcity in the BTH city region is underestimated in terms of actual water prices, and the scarcity of agricultural water use is mostly underestimated. The results contribute to a deeper understanding of the restrictive impact of water scarcity on regional economic development, and thus provide a scientific reference for policymaking in the BTH city region.
The Hay Inclined Plane in Coalbrookdale (Shropshire, England): Geometric Modeling and Virtual Reconstruction
Authors: Rojas-Sola José , De la Morena-De la Fuente Eduardo
Published: April 2019

This article shows the geometric modeling and virtual reconstruction of the inclined plane of Coalbrookdale (Shropshire, England) that was in operation from 1792 to 1894. This historical invention, work of the Englishman William Reynolds, allowed the transportation of boats through channels located at different levels. Autodesk Inventor Professional software has been used to obtain the 3D CAD model of this historical invention and its geometric documentation. The material for the research is available on the website of the Betancourt Project of the Canary Orotava Foundation for the History of Science. Also, because the single sheet does not have a scale, it has been necessary to adopt a graphic scale so that the dimensions of the different elements are coherent. Furthermore, it has been necessary to establish some dimensional, geometric, and movement restrictions (degrees of freedom) so that the set will work properly. One of the main conclusions is that William Reynolds designed a mechanism seeking a longitudinal symmetry so that, from a single continuous movement, the mechanism allows two vessels to ascend and descend simultaneously. This engineering solution facilitated a doubling of the working capacity of the device, as well as a reduction of the energy needs of the system.
Supervised Reinforcement Learning via Value Function
Authors: Pan Yaozong , Zhang Jian , Yuan Chunhui , Yang Haitao
Published: April 2019

Using expert samples to improve the performance of reinforcement learning (RL) algorithms has become one of the focuses of research nowadays. However, in different application scenarios, it is hard to guarantee both the quantity and quality of expert samples, which prohibits the practical application and performance of such algorithms. In this paper, a novel RL decision optimization method is proposed. The proposed method is capable of reducing the dependence on expert samples via incorporating the decision-making evaluation mechanism. By introducing supervised learning (SL), our method optimizes the decision making of the RL algorithm by using demonstrations or expert samples. Experiments are conducted in Pendulum and Puckworld scenarios to test the proposed method, and we use representative algorithms such as deep Q-network (DQN) and Double DQN (DDQN) as benchmarks. The results demonstrate that the method adopted in this paper can effectively improve the decision-making performance of agents even when the expert samples are not available.
A Device Performance and Data Analytics Concept for Smartphones’ IoT Services and Machine-Type Communication in Cellular Networks
Authors: Ogudo Kingsley A. , Muwawa Jean Nestor Dahj , Ibrahim Khalaf Osamah , Daei Kasmaei Hamed
Published: April 2019

With the advancement of new technologies, the number of connected devices, the amount of data generated, and the need to build an intelligently connected network of things to improve and enrich the human ecosystem open new doors to modifications and adaptations of current cellular network infrastructures. While more focus is given to low power wide area (LPWA) applications and devices, a significant challenge is the definition of Internet of Things (IoT) use cases and the value generation of applications on already existing IoT devices. Smartphones and related devices are currently manufactured with a wide range of smart sensors such as accelerometers, video sensors, compasses, gyros, proximity sensors, fingerprint sensors, temperature sensors, and biometric sensors used for various purposes. Many of these sensors can be automatically expanded to monitor a user’s daily activities (e.g., fitness workouts), locations, movements, and real-time body temperatures. Mobile network operators (MNOs) play a substantial role in providing IoT communications platforms, as they manage traffic flow in the network. In this paper, we discuss the global concept of IoT and machine-type communication (MTC), and we conduct device performance analytics based on data traffic collected from a cellular network. The experiment equips service providers with a model and framework to monitor device performance in a network.
Uremic Toxin Concentrations are Related to Residual Kidney Function in the Pediatric Hemodialysis Population
Authors: Snauwaert Evelien , Holvoet Els , Van Biesen Wim , Raes Ann , Glorieux Griet , Vande Walle Johan , Roels Sanne , Vanholder Raymond , Askiti Varvara , Azukaitis Karolis , Bayazit Aysun , Canpolat Nur , Fischbach Michel , Godefroid Nathalie , Krid Saoussen , Litwin Mieczyslaw , Obrycki Lukasz , Paglialonga Fabio , Ranchin Bruno , Samaille Charlotte , Schaefer Franz , Schmitt Claus Peter , Spasojevic Brankica , Stefanidis Constantinos J. , Van Dyck Maria , Van Hoeck Koen , Collard Laure , Eloot Sunny , Shroff Rukshana
Published: April 2019

Protein-bound uremic toxins (PBUTs) play a role in the multisystem disease that children on hemodialysis (HD) are facing, but little is known about their levels and protein binding (%PB). In this study, we evaluated the levels and %PB of six PBUTs cross-sectionally in a large pediatric HD cohort (n = 170) by comparing these with healthy and non-dialysis chronic kidney disease (CKD) stage 4–5 (n = 24) children. In parallel β2-microglobulin (β2M) and uric acid (UA) were evaluated. We then explored the impact of age and residual kidney function on uremic toxin levels and %PB using analysis of covariance and Spearman correlation coefficients (rs). We found higher levels of β2M, p-cresyl glucuronide (pCG), hippuric acid (HA), indole acetic acid (IAA), and indoxyl sulfate (IxS) in the HD compared to the CKD4–5 group. In the HD group, a positive correlation between age and pCG, HA, IxS, and pCS levels was shown. Residual urine volume was negatively correlated with levels of β2M, pCG, HA, IAA, IxS, and CMPF (rs −0.2 to −0.5). In addition, we found overall lower %PB of PBUTs in HD versus the CKD4–5 group, and showed an age-dependent increase in %PB of IAA, IxS, and pCS. Furhtermore, residual kidney function was overall positively correlated with %PB of PBUTs. In conclusion, residual kidney function and age contribute to PBUT levels and %PB in the pediatric HD population.
Strategic Planning for Tuberculosis Control in the Republic of Fiji
Authors: Ragonnet Romain , Underwood Frank , Doan Tan , Rafai Eric , Trauer James , McBryde Emma
Published: April 2019

The tuberculosis (TB) health burden in Fiji has been declining in recent years, although challenges remain in improving control of the diabetes co-epidemic and achieving adequate case detection across the widely dispersed archipelago. We applied a mathematical model of TB transmission to the TB epidemic in Fiji that captured the historical reality over several decades, including age stratification, diabetes, varying disease manifestations, and incorrect diagnoses. Next, we simulated six intervention scenarios that are under consideration by the Fiji National Tuberculosis Program. Our findings show that the interventions were able to achieve only modest improvements in disease burden, with awareness raising being the most effective intervention to reduce TB incidence, and treatment support yielding the highest impact on mortality. These improvements would fall far short of the ambitious targets that have been set by the country, and could easily be derailed by moderate increases in the diabetes burden. Furthermore, the effectiveness of the interventions was limited by the extensive pool of latent TB infection, because the programs were directed at only active cases, and thus were unlikely to achieve the desired reductions in burden. Therefore, it is essential to address the co-epidemic of diabetes and treat people with latent TB infection.
Determining the Replication Kinetics and Cellular Tropism of Influenza D Virus on Primary Well-Differentiated Human Airway Epithelial Cells
Authors: Holwerda Melle , Kelly Jenna , Laloli Laura , Stürmer Isabel , Portmann Jasmine , Stalder Hanspeter , Dijkman Ronald
Published: April 2019

Influenza viruses are notorious pathogens that frequently cross the species barrier with often severe consequences for both animal and human health. In 2011, a novel member of the Orthomyxoviridae family, Influenza D virus (IDV), was identified in the respiratory tract of swine. Epidemiological surveys revealed that IDV is distributed worldwide among livestock and that IDV-directed antibodies are detected in humans with occupational exposure to livestock. To identify the transmission capability of IDV to humans, we determined the viral replication kinetics and cell tropism using an in vitro respiratory epithelium model of humans. The inoculation of IDV revealed efficient replication kinetics and apical progeny virus release at different body temperatures. Intriguingly, the replication characteristics of IDV revealed higher replication kinetics compared to Influenza C virus, despite sharing the cell tropism preference for ciliated cells. Collectively, these results might indicate why IDV-directed antibodies are detected among humans with occupational exposure to livestock.
Lack of Middle East Respiratory Syndrome Coronavirus Transmission in Rabbits
Authors: Widagdo W. , Okba Nisreen M. A. , Richard Mathilde , de Meulder Dennis , Bestebroer Theo M. , Lexmond Pascal , Farag Elmoubasher A. B. A. , Al-Hajri Mohammed , Stittelaar Koert J. , de Waal Leon , van Amerongen Geert , van den Brand Judith M. A. , Haagmans Bart L. , Herfst Sander
Published: April 2019

Middle East respiratory syndrome coronavirus (MERS-CoV) transmission from dromedaries to humans has resulted in major outbreaks in the Middle East. Although some other livestock animal species have been shown to be susceptible to MERS-CoV, it is not fully understood why the spread of the virus in these animal species has not been observed in the field. In this study, we used rabbits to further characterize the transmission potential of MERS-CoV. In line with the presence of MERS-CoV receptor in the rabbit nasal epithelium, high levels of viral RNA were shed from the nose following virus inoculation. However, unlike MERS-CoV-infected dromedaries, these rabbits did not develop clinical manifestations including nasal discharge and did shed only limited amounts of infectious virus from the nose. Consistently, no transmission by contact or airborne routes was observed in rabbits. Our data indicate that despite relatively high viral RNA levels produced, low levels of infectious virus are excreted in the upper respiratory tract of rabbits as compared to dromedary camels, thus resulting in a lack of viral transmission.
Screening of an FDA-Approved Drug Library with a Two-Tier System Identifies an Entry Inhibitor of Severe Fever with Thrombocytopenia Syndrome Virus
Authors: Yuan Shuofeng , Chan Jasper Fuk-Woo , Ye Zi-Wei , Wen Lei , Tsang Terance Gi-Wai , Cao Jianli , Huang Jingjing , Chan Chris Chun-Yiu , Chik Kenn Ka-Heng , Choi Garnet Kwan-Yue , Cai Jian-Piao , Yin Feifei , Chu Hin , Liang Mifang , Jin Dong-Yan , Yuen Kwok-Yung
Published: April 2019

Severe fever with thrombocytopenia syndrome virus (SFTSV) is an emerging tick-borne bunyavirus that causes severe disease in humans with case-fatality rates of up to 30%. There are currently very limited treatment options for SFTSV infection. We conducted a drug repurposing program by establishing a two-tier test system to rapidly screen a Food and Drug Administration- (FDA)-approved drug library for drug compounds with anti-SFTSV activity in vitro. We identified five drug compounds that inhibited SFTSV replication at low micromolar concentrations, including hexachlorophene, triclosan, regorafenib, eltrombopag, and broxyquinoline. Among them, hexachlorophene was the most potent with an IC50 of 1.3 ± 0.3 µM and a selectivity index of 18.7. Mechanistic studies suggested that hexachlorophene was a virus entry inhibitor, which impaired SFTSV entry into host cells by interfering with cell membrane fusion. Molecular docking analysis predicted that the binding of hexachlorophene with the hydrophobic pocket between domain I and domain III of the SFTSV Gc glycoprotein was highly stable. The novel antiviral activity and mechanism of hexachlorophene in this study would facilitate the use of hexachlorophene as a lead compound to develop more entry inhibitors with higher anti-SFTSV potency and lower toxicity.
Insights from a Calibrated Optimization Model for Irrigated Agriculture under Drought in an Irrigation District on the Central Mexican High Plains
Authors: Rodríguez-Flores José M. , Medellín-Azuara Josué , Valdivia-Alcalá Ramón , Arana-Coronado Oscar A. , García-Sánchez Roberto C.
Published: April 2019

An economic assessment of the value of agricultural water was conducted at the subdistrict (module) level within the Alto Rio Lerma Irrigation District 011 in Guanajuato, Mexico. The assessment employed positive mathematical programming (PMP), a deductive valuation methodology, which self-calibrates to baseline production input use. Production and water use values for the 2016–2017 agricultural year, and the averages of the 2014 to 2017 agricultural years for yields, agricultural commodity prices, and production costs were employed disaggregated per irrigation module. Results indicate that the economic value of water is 1.8 to 4.7 times higher than the rate currently paid by users, about US$7.89 dam−3 (cubic decameters). The differences among the rate and shadow prices could create a pricing water policy focused on water conservation and its efficient use. This work also conducts an assessment of a formal water market in the irrigation district as way to achieve economically efficient water allocations and reduce the potential economic impacts of water shortage during droughts. Modeling results show that an active water market would allow the irrigation district to adapt to scarcer water conditions by shifting cropping patterns and trading water among subdistricts, by reducing loss in net income at the irrigation district. A successful implementation of this system would be feasible, provided that the irrigation modules are able to import and export water, under water scarcity scenarios considered for the water market model. Potential distributional effects and policy insights from this assessment are discussed.