bluuebunny/crossref_metadata_2025 huggingface dataset:
Application of Shore-Based Video and Unmanned Aerial Vehicles (Drones): Complementary Tools for Beach Studies
Authors: Angnuureng Donatus Bapentire , Jayson-Quashigah Philip-Neri , Almar Rafael , Stieglitz Thomas Christian , Anthony Edward Jamal , Aheto Denis Worlanyo , Appeaning Addo Kwasi
Published: January 2020

Video camera systems have been used over nearly three decades to monitor coastal dynamics. They facilitate a high-frequency analysis of spatiotemporal shoreline mobility. Video camera usage to measure beach intertidal profile evolution has not been standardized globally and the capacity to obtain accurate results requires authentication using various techniques. Applications are mostly site specific due to differences in installation. The present study examines the accuracy of intertidal topographic data derived from a video camera system compared to data acquired with unmanned aerial vehicle (UAV, or drone) surveys of a reflective beach. Using one year of 15-min video data and one year of monthly UAV observations, the intertidal profile shows a good agreement. Underestimations of intertidal profile elevations by the camera-based method are possibly linked to the camera view angle, rectification and gaps in data. The resolution of the video-derived intertidal topographic profiles confirmed, however, the suitability of the method in providing beach mobility surveys matching those required for a quantitative analysis of nearshore changes. Beach slopes were found to vary between 0.1 and 0.7, with a steep slope in May to July 2018 and a gentle slope in December 2018. Large but short-scale beach variations occurred between August 2018 and October 2018 and corresponded to relatively high wave events. In one year, this dynamic beach lost 7 m. At this rate, and as also observed at other beaches nearby, important coastal facilities and infrastructure will be prone to erosion. The data suggest that a low-cost shore-based camera, particularly when used in a network along the coast, can produce profile data for effective coastal management in West Africa and elsewhere.
Artificial Light at Night is Related to Broad-Scale Stopover Distributions of Nocturnally Migrating Landbirds along the Yucatan Peninsula, Mexico
Authors: Cabrera-Cruz Sergio A. , Cohen Emily B. , Smolinsky Jaclyn A. , Buler Jeffrey J.
Published: January 2020

The distributions of birds during migratory stopovers are influenced by a hierarchy of factors. For example, in temperate regions, migrants are concentrated near areas of bright artificial light at night (ALAN) and also the coastlines of large water bodies at broad spatial scales. However, less is known about what drives broad-scale stopover distributions in the tropics. We quantified seasonal densities of nocturnally migrating landbirds during spring and fall of 2011–2015, using two weather radars on the Yucatan peninsula, Mexico (Sabancuy and Cancun). We tested the influence of environmental predictors in explaining broad-scale bird stopover densities. We predicted higher densities in areas (1) closer to the coast in the fall and farther away in spring and (2) closer to bright ALAN and with lower ALAN intensity in both seasons. We found that birds were more concentrated near the coastline in the fall and away from it in spring around Cancun but not Sabancuy. Counter to our expectations, we detected increased bird densities with increased distance from lights in spring around Sabancuy, and in both seasons around Cancun, suggesting avoidance of bright areas during those seasons. This is the first evidence of broad-scale bird avoidance of bright areas during stopover.
Dynamic Channel Selection of Microwave Temperature Sounding Channels under Cloudy Conditions
Authors: Qin Luyao , Chen Yaodeng , Yu Tianlei , Ma Gang , Guo Yang , Zhang Peng
Published: January 2020

To make better use of microwave radiance observations for data assimilation, removal of radiances contaminated by hydrometeor particles is one of the most important steps. Generally, all observations below the middle troposphere are eliminated before the analysis when precipitation is present. However, the altitude of the cloud top varies; when the weighting function peak height of a channel is higher than the altitude of the cloud top, observations are not affected by the absorption or scattering of cloud particles. Thus, the radiative transfer calculation can be performed under a clear sky scenario. In this paper, a dynamic channel selection (DCS) method was developed to determine the radiance observations unaffected by clouds under cloudy conditions in assimilation. First, the sensitivity of cloud liquid water (CLW) profiles to radiance from the microwave temperature sounding frequencies was analyzed. It was found that the impact of CLW on transmittance can be neglected where the cloud top height is below the weighting function peak height. Second, three lookup tables were devised through analysis of the impact of cloud fraction and cloud top height on radiance, which is the basis of the DCS method. The unified cloud top height of the Microwave Temperature Sounder (MWTS)-2 fields of view (FOVs) can be calculated by remapping the cloud mask and cloud top height data from the Medium Resolution Spectral Imager-2 (MERSI-2). Observations from various channels may be removed or retained based on real-time dynamic unified cloud top height data. Twelve-hour and long-term time-series brightness temperature simulation experiments both showed that an increase in the amount of observations used for data assimilation of more than 300% can be achieved by application of DCS, but this had no effect on the amount of error. Through DCS, areas of strong precipitation can be accurately identified and removed, and more observations above cloud top height can be included in the data assimilation. The application of DCS to data assimilation will greatly improve the data utilization rate, and therefore allow for more accurate characterization of upper atmospheric circulation.
Integrating Multiple Models Using Image-as-Documents Approach for Recognizing Fine-Grained Home Contexts
Authors: Chen Sinan , Saiki Sachio , Nakamura Masahide
Published: January 2020

To implement fine-grained context recognition that is accurate and affordable for general households, we present a novel technique that integrates multiple image-based cognitive APIs and light-weight machine learning. Our key idea is to regard every image as a document by exploiting “tags” derived by multiple APIs. The aim of this paper is to compare API-based models’ performance and improve the recognition accuracy by preserving the affordability for general households. We present a novel method for further improving the recognition accuracy based on multiple cognitive APIs and four modules, fork integration, majority voting, score voting, and range voting.
CO2 and O2 Detection by Electric Field Sensors
Authors: Santonico Marco , Zompanti Alessandro , Sabatini Anna , Vollero Luca , Grasso Simone , Di Mezza Carlo , Pennazza Giorgio
Published: January 2020

In this work an array of chemical sensors for gas detection has been developed, starting with a commercial sensor platform developed by Microchip (GestIC), which is normally used to detect, trace, and classify hand movements in space. The system is based on electric field changes, and in this work, it has been used as mechanism revealing the adsorption of chemical species CO2 and O2. The system is composed of five electrodes, and their responses were obtained by interfacing the sensors with an acquisition board based on an ATMEGA 328 microprocessor (Atmel MEGA AVR microcontroller). A dedicated measurement chamber was designed and prototyped in acrylonitrile butadiene styrene (ABS) using an Ultimaker3 3D printer. The measurement cell size is 120 × 85 mm. Anthocyanins (red rose) were used as a sensing material in order to functionalize the sensor surface. The sensor was calibrated using different concentrations of oxygen and carbon dioxide, ranging from 5% to 25%, mixed with water vapor in the range from 50% to 90%. The sensor exhibits good repeatability for CO2 concentrations. To better understand the sensor response characteristics, sensitivity and resolution were calculated from the response curves at different working points. The sensitivity is in the order of magnitude of tens to hundreds of µV/% for CO2, and of µV/% in the case of O2. The resolution is in the range of 10−1%–10−3% for CO2, and it is around 10−1% for O2. The system could be specialized for different fields, for environmental, medical, and food applications.
Photothermal Effect in Plasmonic Nanotip for LSPR Sensing
Authors: Nisar Muhammad Shemyal , Kang Siyu , Zhao Xiangwei
Published: January 2020

The influence of heat generation on the conventional process of LSPR based sensing has not been explored thus far. Therefore, a need exists to draw attention toward the heat generation issue during LSPR sensing as it may affect the refractive index of the analyte, leading to incorrect sensory conclusions. This manuscript addresses the connection between the photo-thermal effect and LSPR. We numerically analyzed the heat performance of a gold cladded nanotip. The numerical results predict a change in the micro-scale temperature in the microenvironment near the nanotip. These numerical results predict a temperature increase of more than 20 K near the apex of the nanotip, which depends on numerous factors including the input optical power and the diameter of the fiber. We analytically show that this change in the temperature influences a change in the refractive index of the microenvironment in the vicinity of the nanotip. In accordance with our numerical and analytical findings, we experimentally show an LSPR shift induced by a change in the input power of the source. We believe that our work will bring the importance of temperature dependence in nanotip based LSPR sensing to the fore.
Automatic Annotation of Subsea Pipelines Using Deep Learning
Authors: Stamoulakatos Anastasios , Cardona Javier , McCaig Chris , Murray David , Filius Hein , Atkinson Robert , Bellekens Xavier , Michie Craig , Andonovic Ivan , Lazaridis Pavlos , Hamilton Andrew , Hossain Md Moinul , Di Caterina Gaetano , Tachtatzis Christos
Published: January 2020

Regulatory requirements for sub-sea oil and gas operators mandates the frequent inspection of pipeline assets to ensure that their degradation and damage are maintained at acceptable levels. The inspection process is usually sub-contracted to surveyors who utilize sub-sea Remotely Operated Vehicles (ROVs), launched from a surface vessel and piloted over the pipeline. ROVs capture data from various sensors/instruments which are subsequently reviewed and interpreted by human operators, creating a log of event annotations; a slow, labor-intensive and costly process. The paper presents an automatic image annotation framework that identifies/classifies key events of interest in the video footage viz. exposure, burial, field joints, anodes, and free spans. The reported methodology utilizes transfer learning with a Deep Convolutional Neural Network (ResNet-50), fine-tuned on real-life, representative data from challenging sub-sea environments with low lighting conditions, sand agitation, sea-life and vegetation. The network outputs are configured to perform multi-label image classifications for critical events. The annotation performance varies between 95.1% and 99.7% in terms of accuracy and 90.4% and 99.4% in terms of F1-Score depending on event type. The performance results are on a per-frame basis and corroborate the potential of the algorithm to be the foundation for an intelligent decision support framework that automates the annotation process. The solution can execute annotations in real-time and is significantly more cost-effective than human-only approaches.
LoRa-Based Physical Layer Key Generation for Secure V2V/V2I Communications
Authors: Han Biao , Peng Sirui , Wu Celimuge , Wang Xiaoyan , Wang Baosheng
Published: January 2020

In recent years, Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication brings more and more attention from industry (e.g., Google and Uber) and government (e.g., United States Department of Transportation). These Vehicle-to-Everything (V2X) technologies are widely adopted in future autonomous vehicles. However, security issues have not been fully addressed in V2V and V2I systems, especially in key distribution and key management. The physical layer key generation, which exploits wireless channel reciprocity and randomness to generate secure keys, provides a feasible solution for secure V2V/V2I communication. It is lightweight, flexible, and dynamic. In this paper, the physical layer key generation is brought to the V2I and V2V scenarios. A LoRa-based physical key generation scheme is designed for securing V2V/V2I communications. The communication is based on Long Range (LoRa) protocol, which is able to measure Received Signal Strength Indicator (RSSI) in long-distance as consensus information to generate secure keys. The multi-bit quantization algorithm, with an improved Cascade key agreement protocol, generates secure binary bit keys. The proposed schemes improved the key generation rate, as well as to avoid information leakage during transmission. The proposed physical layer key generation scheme was implemented in a V2V/V2I network system prototype. The extensive experiments in V2I and V2V environments evaluate the efficiency of the proposed key generation scheme. The experiments in real outdoor environments have been conducted. Its key generation rate could exceed 10 bit/s on our V2V/V2I network system prototype and achieve 20 bit/s in some of our experiments. For binary key sequences, all of them pass the suite of statistical tests from National Institute of Standards and Technology (NIST).
A Digital Closed-Loop Sense MEMS Disk Resonator Gyroscope Circuit Design Based on Integrated Analog Front-end
Authors: Wang Yihang , Fu Qiang , Zhang Yufeng , Zhang Wenbo , Chen Dongliang , Yin Liang , Liu Xiaowei
Published: January 2020

A digital closed-loop system design of a microelectromechanical systems (MEMS) disk resonator gyroscope (DRG) is proposed in this paper. Vibration models with non-ideal factors are provided based on the structure characteristics and operation mode of the sensing element. The DRG operates in force balance mode with four control loops. A closed self-excited loop realizes stable vibration amplitude on the basis of peak detection technology and phase control loop. Force-to-rebalance technology is employed for the closed sense loop. A high-frequency carrier loaded on an anchor weakens the effect of parasitic capacitances coupling. The signal detected by the charge amplifier is demodulated and converted into a digital output for subsequent processing. Considering compatibility with digital circuits and output precision demands, a low passband sigma-delta (ΣΔ) analog-to-digital converter (ADC) is implemented with a 111.8dB signal-to-noise ratio (SNR). The analog front-end and digital closed self-excited loop is manufactured with a standard 0.35 µm complementary metal-oxide-semiconductor (CMOS) technology. The experimental results show a bias instability of 2.1 °/h and a nonlinearity of 0.035% over the ± 400° full-scale range.
Validation, Reliability, and Responsiveness Outcomes of Kinematic Assessment with an RGB-D Camera to Analyze Movement in Subacute and Chronic Low Back Pain
Authors: Trinidad-Fernández Manuel , Beckwée David , Cuesta-Vargas Antonio , González-Sánchez Manuel , Moreno Francisco-Angel , González-Jiménez Javier , Joos Erika , Vaes Peter
Published: January 2020

Background: The RGB-D camera is an alternative to asses kinematics in order to obtain objective measurements of functional limitations. The aim of this study is to analyze the validity, reliability, and responsiveness of the motion capture depth camera in sub-acute and chronic low back pain patients. Methods: Thirty subjects (18–65 years) with non-specific lumbar pain were screened 6 weeks following an episode. RGB-D camera measurements were compared with an inertial measurement unit. Functional tests included climbing stairs, bending, reaching sock, lie-to-sit, sit-to-stand, and timed up-and-go. Subjects performed the maximum number of repetitions during 30 s. Validity was analyzed using Spearman’s correlation, reliability of repetitions was calculated by the intraclass correlation coefficient and the standard error of measurement, and receiver operating characteristic curves were calculated to assess the responsiveness. Results: The kinematic analysis obtained variable results according to the test. The time variable had good values in the validity and reliability of all tests (r = 0.93–1.00, (intraclass correlation coefficient (ICC) = 0.62–0.93). Regarding kinematics, the best results were obtained in bending test, sock test, and sit-to-stand test (r = 0.53–0.80, ICC = 0.64–0.83, area under the curve (AUC) = 0.55–84). Conclusion: Functional tasks, such as bending, sit-to-stand, reaching, and putting on sock, assessed with the RGB-D camera, revealed acceptable validity, reliability, and responsiveness in the assessment of patients with low back pain (LBP). Trial registration: ClinicalTrials.gov NCT03293095 “Functional Task Kinematic in Musculoskeletal Pathology” 26 September 2017
Mobile Synchronization Recovery for Ultrasonic Indoor Positioning
Authors: Carotenuto Riccardo , Merenda Massimo , Iero Demetrio , G. Della Corte Francesco
Published: January 2020

The growing interest for indoor position-based applications and services, as well as ubiquitous computing and location aware information, have led to increasing efforts toward the development of positioning techniques. Many applications require accurate positioning or tracking of people and assets inside buildings, and some market sectors are waiting for such technologies for starting a fast growth. Ultrasonic systems have already been shown to possess the desired positioning accuracy and refresh rate. However, they still require accurate synchronization between ultrasound emitters and receivers to work properly. Usually, synchronization is carried out through radio frequency (RF) signals, adding system complexity and raising the cost. In this work, this limit is overcome by introducing a novel self-synchronizing indoor positioning technique. Ultrasonic signals travel from emitters placed at fixed reference positions to any number of mobile devices (MD). The travelled distance is computed from the time of flight (TOF), which requires in turn synchronism between emitter and receiver. It is shown that this synchronism can be indirectly estimated from the time difference of arrival (TDOA) of the ultrasonic signals. The obtained positioning information is private, in the sense that the positioning infrastructure is not aware of the number or identity of the MDs that use it. Computer simulations and experimental results obtained in a typical office room are provided.
Social Media Use and Paranoia: Factors That Matter in Online Shopping
Authors: Zimaitis Ignas , Degutis Mindaugas , Urbonavicius Sigitas
Published: January 2020

The paper aims to explore the ways social media use is linked with paranoia, and how they influence buyers’ attitudes and intentions in online shopping, thus shaping overall consumer behaviour. The theoretical analysis suggests that paranoia, being influenced by social media use, plays a noticeable role in the process of online shopping. The main assumption is that paranoia is an antecedent of the attitude towards online purchasing and mediates effects of other factors towards it. This is confirmed with SEM modelling on the basis of empirical data: the analysis provides evidence that paranoia is an important antecedent of the attitude towards purchasing online and mediates relationships between computer competence, cyber-fear, social media use and the attitude towards online shopping. Additionally, a contradictory relation between paranoia and online purchasing intention is observed. Overall, these findings disclose a new important factor in online shopping and outline several new directions for future research.
Quantifying the Relative Importance of Climate Change and Human Activities on Selected Wetland Ecosystems in China
Authors: Dang Yongcai , He Hongshi , Zhao Dandan , Sunde Michael , Du Haibo
Published: January 2020

Climate change and human activities are important factors driving changes in wetland ecosystems. It is therefore crucial to quantitatively characterize the relative importance of these stressors in wetlands. Previous such analyses have generally not distinguished between wetland types, or have focused on individual wetland types. In this study, three representative wetland areas of the upper, middle and lower reaches of the Heilongjiang River Basin (HRB) were selected as the study area. An object-based classification was used with Landsat TM data to extract the spatial distribution of wetland in 1990, 2000 and 2010. We then quantified the relative importance of climate change and human activities on the wetlands by using the R package “relaimpo” package. The results indicated that: (1) the effects of human activities on wetland changes were greater (contribution rate of 63.57%) than climate change in the HRB. Specifically, there were differences in the relative importance of climate change and human activities for wetlands in different regions. Wetlands of the upper reaches were more affected by climate change, while wetlands in the middle and lower reaches were more affected by human activities; (2) climate change had a greater impact (contribution rate of 65.72%) on low intensity wetland loss, while human activities had a greater impact on moderate and severe intensity wetland loss, with respective contribution rates of 57.22% and 70.35%; (3) climate change had a larger effect on the shrub and forested wetland changes, with respective contribution rates of 58.33% and 52.58%. However, human activities had a larger effect on herbaceous wetland changes, with a contribution rate of 72.28%. Our study provides a useful framework for wetland assessment and management, and could be a useful tool for developing wetland utilization and protection approaches, particularly in sensitive environments in mid- and high-latitude areas.
Investigate the Relationship between Urbanization and Industrialization using a Coordination Model: A Case Study of China
Authors: Luo Yun , Xiang Pengcheng , Wang Yiming
Published: January 2020

The coordinated development of industrialization and urbanization has become a common goal and concern of developing countries. At the same time, measuring the relationship between them is becoming a research hotspot. With reference to value engineering, we constructed a dynamic coordination model to analyze the degree of coordination between urbanization and industrialization in China. During the study, three primary indicators were used to assess the level of industrialization in China, namely: economic development, industrial structure, industrial enterprise. We also use demographic urbanization rate to evaluate the level of urbanization. Subsequently, a dynamic coordination model was established using panel data of China collected from 1978 to 2017. Through the dynamic coordination degree model, the changes in the degree of coordination between urbanization and industrialization in China from 1978 to 2017 were analyzed, and the reasons for the fluctuation of coordination degree were further explored. The results show that: (1) The coordinated development of urbanization and industrialization can be divided into six phases, which is consistent with the major reforms in China's rural and urban; (2) The degree of coordination fluctuated more obviously during 1991–1995, which reflected the unstable state of China in the process of coordinated development of urbanization and industrialization; (3) Most of the time, industrialization is ahead of urbanization, while with rapid economic development, urbanization, and industrialization, are gradually synchronizing in China. The results are of great significance for promoting the coordinated development of urbanization and industrialization and realizing the sustainable development of the city.
Sustainability Perception of Local Extra Virgin Olive Oil and Consumers’ Attitude: A New Italian Perspective
Authors: Polenzani Bianca , Riganelli Chiara , Marchini Andrea
Published: January 2020

Extra virgin olive oil sustainability shows that it is strictly connected to local production and certifications. However, consumers’ behaviour toward a local product is tied with the information exchange between producers and consumers. The aim of the research is to analyse, using a logistic regression model, if the attitudes, habits, and behaviours of the consumers influence their opinion on the sustainability of local extra virgin olive oil, relative to the three dimensions of sustainability (environmental, socio-cultural, and economic). This study tries to combine studies about agri-food sustainability and consumers’ behaviour about local consumption, in an attempt to evaluate their attitude towards an agroecology food regime. Indeed, this information can be useful in order to plan adequate and specific interventions to improve the sustainability of the extra virgin olive oil production. The results indicate that the opinion about the sustainability of local extra virgin olive oil is linked to the information exchange between producers and consumers. This confirms that local alternative trade channels require numerous interventions in order to simplify and improve such exchange, both from a managerial and political point of view. Moreover, it can be useful to develop the information and communication technologies, in order to ensure the reliability, the transparency, and the security of the information exchange. This can also be useful to prevent frauds that are very common for this product.
Participatory Forest Management in West Usambara Tanzania: What Is the Community Perception on Success?
Authors: Luswaga Hussein , Nuppenau Ernst-August
Published: January 2020

Despite the increase in forest areas and villages under the participatory program over the last two decades in Tanzania, there is little insight into the communities’ views regarding their participation. This study aimed to explore communities’ participation in the participatory forest program in Tanzania. The survey involved 159 households, randomly sampled from four villages bordering state and community-managed forests, in West Usambara Mountains. The factor analysis summarised three components of participation. Economic, decision-making, and protection activities are used to formulate the participation intensity index. The study observed significantly higher levels and intensity of participation in the villages around the state compared to those around the community forest. Training attendance, trust on institutions, and location were significant predictors of participation intensity of the households. In conclusion, the perceived performance of the participatory programs in achieving the participation aims has been moderate with better results in the state forest jointly managed with the community. Raising awareness and improving communication with villagers, fulfilling promises for the communities, and provision of more forest-linked interventions are recommended to improve the situation in West Usambara.
Optimization of Peer-to-Peer Power Trading in a Microgrid with Distributed PV and Battery Energy Storage Systems
Authors: Huang Hui , Nie Shilin , Lin Jin , Wang Yuanyuan , Dong Jun
Published: January 2020

Integrating distributed generation (DG) into the main grid is a challenge for the safety and stability of the grid. The application of peer-to-peer (P2P) technology in microgrids with distributed generation is expected to facilitate increased self-consumption of distributed and renewable energy, and the rise of prosumers’ monetary benefits. A P2P energy trading model in microgrids with photovoltaic (PV) distributed generation and battery energy storage systems (BESSs) is proposed in this paper. We additionally designed a P2P electricity trading mechanism based on coalition game theory. A simulation framework of this model is presented which assumed a local community with 30 households under comprehensive constraints encompassing a customer load profile, PV system, BESSs, market signals including feed-in tariffs, and retail prices. Firstly, individual customers can post orders (purchasing orders or selling orders) and exchange information in a P2P energy trading market. Secondly, the microgrid operator can validate the orders based on how to achieve the minimum overall energy consumption in microgrids and set reasonable real-time purchasing and selling prices for P2P energy transactions. Thirdly, the orders can be automatically conducted and completed at the designed optimal price. This mechanism can be a practical solution motivating individual customers to participate in P2P electricity trading, assist with electricity cost reduction, benefit from electricity supply increases, and help the grid operators to make the most economically and socially friendly decisions.
Cultural Heritage and Sustainable Development Targets: A Possible Harmonisation? Insights from the European Perspective
Authors: Petti Luigi , Trillo Claudia , Makore Busisiwe Ncube
Published: January 2020

The Agenda 2030 includes a set of targets that need to be achieved by 2030. Although none of the 17 Sustainable Development Goals (SDGs) focuses exclusively on cultural heritage, the resulting Agenda includes explicit reference to heritage in SDG 11.4 and indirect reference to other Goals. Achievement of international targets shall happen at local and national level, and therefore, it is crucial to understand how interventions on local heritage are monitored nationally, therefore feeding into the sustainable development framework. This paper is focused on gauging the implementation of the Sustainable Development Goals with reference to cultural heritage, by interrogating the current way of classifying it (and consequently monitoring). In fact, there is no common dataset associated with monitoring SDGs, and the field of heritage is extremely complex and diversified. The purpose for the paper is to understand if the taxonomy used by different national databases allows consistency in the classification and valuing of the different assets categories. The European case study has been chosen as field of investigation, in order to pilot a methodology that can be expanded in further research. A cross-comparison of a selected sample of publicly accessible national cultural heritage databases has been conducted. As a result, this study confirms the existence of general harmonisation of data towards the achievement of the SDGs with a broad agreement of the conceptualisation of cultural heritage with international frameworks, thus confirming that consistency exists in the classification and valuing of the different assets categories. However, diverse challenges of achieving a consistent and coherent approach to integrating culture in sustainability remains problematic. The findings allow concluding that it could be possible to mainstream across different databases those indicators, which could lead to depicting the overall level of attainment of the Agenda 2030 targets on heritage. However, more research is needed in developing a robust correlation between national datasets and international targets.
Revisiting the Psychology of Denial Concerning Low-Carbon Behaviors: From Moral Disengagement to Generating Social Change
Authors: Stoll-Kleemann Susanne , O’Riordan Tim
Published: January 2020

This paper reassesses the scope for shifting high-carbon personal behaviors in the light of prevailing insufficient political and regulatory action. Our previous research has shown that citizens regard such behavioral shifts as extremely daunting and create a number of psychological denial mechanisms that draw attention to the inaction of others, including governments. Further theoretical insights and relevant new findings have been attained from a more recent survey of more than 1000 German residents. This reveals that direct denial of anthropogenic climate change is replaced by a denial of responsibility for individual climate action. Ways of moral disengagement play a more dominant role, such as the diffusion and displacement of responsibility, although a majority is aware of—and very much concerned about—the climate crisis. More attention needs to be given for further reinterpretation of the role of moral disengagement to single out adequate strategies for different individuals and groups of people, such as making role models more visible to encourage social learning that could accelerate further necessary moral and behavioral transformations.
Design of an Unsupervised Machine Learning-Based Movie Recommender System
Authors: Cintia Ganesha Putri Debby , Leu Jenq-Shiou , Seda Pavel
Published: January 2020

This research aims to determine the similarities in groups of people to build a film recommender system for users. Users often have difficulty in finding suitable movies due to the increasing amount of movie information. The recommender system is very useful for helping customers choose a preferred movie with the existing features. In this study, the recommender system development is established by using several algorithms to obtain groupings, such as the K-Means algorithm, birch algorithm, mini-batch K-Means algorithm, mean-shift algorithm, affinity propagation algorithm, agglomerative clustering algorithm, and spectral clustering algorithm. We propose methods optimizing K so that each cluster may not significantly increase variance. We are limited to using groupings based on Genre and Tags for movies. This research can discover better methods for evaluating clustering algorithms. To verify the quality of the recommender system, we adopted the mean square error (MSE), such as the Dunn Matrix and Cluster Validity Indices, and social network analysis (SNA), such as Degree Centrality, Closeness Centrality, and Betweenness Centrality. We also used average similarity, computational time, association rule with Apriori algorithm, and clustering performance evaluation as evaluation measures to compare method performance of recommender systems using Silhouette Coefficient, Calinski-Harabaz Index, and Davies–Bouldin Index.
Monosodium Glutamate (MSG)-Induced Male Reproductive Dysfunction: A Mini Review
Authors: Kayode Omowumi T. , Rotimi Damilare E. , Kayode Abolanle A. A. , Olaolu Tomilola D. , Adeyemi Oluyomi S.
Published: January 2020

Reproductive dysfunction is often characterized by malfunction of the reproductive tissues, which may lead to disruption of the synergistic rhythm that should bring about a progression of sexual events and the conception of new life. This may therefore result in the sexual dysfunction and infertility that can be seen in couples having prolonged biological difficulty in reproducing their offspring after having unrestricted sexual intercourse for at least twelve months. Several factors have been implicated in the cause and progression of reproductive dysfunction, including poor nutrition, drug side effects, disease states, and toxicant ingestion. A well-known food additive that has been found to be potent at initiating reproductive anomalies in males is monosodium glutamate (MSG). This regular flavor enhancer is widely used as a taste enhancer in several diets. The different mechanisms by which it may induce reproductive dysfunctions include spermatogenic alteration resulting in a low sperm count, high sperm abnormality, reduced live sperm and decreased sperm pH, oxidative damage (increased lipid peroxidation and reduced antioxidant enzyme activities), histological alteration (blood hemorrhage, distorted germ and Sertoli cells), as well as gonadotropin imbalance (reduced testosterone, luteinizing hormone, and follicle-stimulating hormone concentrations). Therefore, this review discusses various established mechanisms through which MSG may induce reproductive dysfunction and the treatment strategies to ameliorate its toxic effects.
Analysis of Cannabinoid-Containing Fluids in Illicit Vaping Cartridges Recovered from Pulmonary Injury Patients: Identification of Vitamin E Acetate as a Major Diluent
Authors: Duffy Bryan , Li Lingyun , Lu Shijun , Durocher Lorie , Dittmar Mark , Delaney-Baldwin Emily , Panawennage Deepika , LeMaster David , Navarette Kristen , Spink David
Published: January 2020

Beginning in June of 2019, there was a marked increase in reported cases of serious pulmonary injury associated with vaping. The condition, referred to as e-cigarette or vaping product use-associated lung injury (EVALI), does not appear to involve an infectious agent; rather, a chemical adulterant or contaminant in vaping fluids is suspected. In August of 2019, the Wadsworth Center began receiving vaporizer cartridges recovered from patients with EVALI for analysis. Having no a priori information of what might be in the cartridges, we employed untargeted analyses using gas chromatography-mass spectrometry and high-resolution mass spectrometry to identify components of concern. Additionally, we employed targeted analyses used for New York medical marijuana products. Here, we report on the analyses of 38 samples from the first 10 New York cases of EVALI for which we obtained cartridges. The illicit fluids had relatively low cannabinoid content, sometimes with unusual Δ9-/Δ8-tetrahydrocannabinol ratios, sometimes containing pesticides and many containing diluents. A notable diluent was α-tocopheryl acetate (vitamin E acetate; VEA), which was found in 64% of the cannabinoid-containing fluids. To investigate potential sources of the VEA, we analyzed six commercial cannabis-oil diluents/thickeners. Three were found to be >95% VEA, two were found to be primarily squalane, and one was primarily α-bisabolol. The cause(s) of EVALI is unknown. VEA and squalane are components of some personal care products; however, there is growing concern that vaping large amounts of these compounds is not safe.
Apitoxin and Its Components against Cancer, Neurodegeneration and Rheumatoid Arthritis: Limitations and Possibilities
Authors: Aufschnaiter Andreas , Kohler Verena , Khalifa Shaden , Abd El-Wahed Aida , Du Ming , El-Seedi Hesham , Büttner Sabrina
Published: January 2020

Natural products represent important sources for the discovery and design of novel drugs. Bee venom and its isolated components have been intensively studied with respect to their potential to counteract or ameliorate diverse human diseases. Despite extensive research and significant advances in recent years, multifactorial diseases such as cancer, rheumatoid arthritis and neurodegenerative diseases remain major healthcare issues at present. Although pure bee venom, apitoxin, is mostly described to mediate anti-inflammatory, anti-arthritic and neuroprotective effects, its primary component melittin may represent an anticancer therapeutic. In this review, we approach the possibilities and limitations of apitoxin and its components in the treatment of these multifactorial diseases. We further discuss the observed unspecific cytotoxicity of melittin that strongly restricts its therapeutic use and review interesting possibilities of a beneficial use by selectively targeting melittin to cancer cells.
Carbamoylated Nail Proteins as Assessed by Near-Infrared Analysis Are Associated with Load of Uremic Toxins and Mortality in Hemodialysis Patients
Authors: De Bruyne Sander , Himpe Jonas , Delanghe Sigurd E. , Glorieux Griet , Van Biesen Wim , De Buyzere Marc L. , Speeckaert Marijn M. , Delanghe Joris R.
Published: January 2020

Carbamoylation is an important risk factor for accelerated atherogenesis and mortality in patients undergoing hemodialysis (HD). We intended to explore whether carbamoylation as assessed by near-infrared (NIR) analysis of nail proteins is associated with (a) plasma concentrations of representative uremic toxins and (b) mortality in HD patients. A total of 53 healthy volunteers and 84 consecutive HD patients were enrolled in this cross-sectional cohort study. Standard laboratory methods were used to measure routine parameters, whereas levels of uremic toxins were determined using reversed-phase high-performance liquid chromatography (RP-HPLC). Spectra of distal fingernail clippings were obtained using an Avantes NIR spectrometer and processed using chemometric data analysis. The second derivative of the peak intensity at 1494 nm attributed to N-H amide bands from NH2 of carbamoyl (-CONH2) groups was higher in HD patients than in control subjects (p < 0.0001). Peak intensity levels were associated with age and plasma levels of representative uremic toxins. Cox-regression analysis revealed a significant association with all-cause mortality, even after adjustment for age. In conclusion, our data revealed that carbamoylation as assessed by NIR analysis of nail proteins is associated with plasma concentrations of uremic toxins and also with mortality in HD patients. Further research to explore whether it is a surrogate marker or a hard indicator of mortality risk is warranted.
Lack of Dose- and Time-Dependent Effects of Aflatoxin B1 on Gene Expression and Enzymes Associated with Lipid Peroxidation and the Glutathione Redox System in Chicken
Authors: Kövesi Benjámin , Cserháti Mátyás , Erdélyi Márta , Zándoki Erika , Mézes Miklós , Balogh Krisztián
Published: January 2020

Effects of aflatoxin B1 (AFB1) on lipid peroxidation and glutathione system were investigated in chicken liver. In a three-week feeding trial, different doses (<1.0 μg/kg (control diet), 17.0 µg (diet A1), 92.0 µg (diet A2), and 182.0 µg (diet A3) AFB1 kg/feed) were used. Markers of lipid peroxidation, conjugated dienes and trienes showed higher values in A3, while amounts of thiobarbituric acid reactive substances were increased in the A1 group at day 21. Glutathione content was lower at day 14 in Group A2. Glutathione peroxidase 4 activity was increased at days 7 and 21 in the A3 group but reduced in the A2 and A3 groups at day 14. The GPX4 gene was downregulated at day 7 in the A2 group, but overregulated at days 14 and 21, and at day 14 in the A3 group. GSS was downregulated at day 14 in the A1 group but overregulated at day 21 in A1 and A2 groups. GSR was downregulated at days 7 and 21 in all treatment groups, but on day 14, induction was observed in the A3 group. The results indicated that AFB1 did not induce dose- or time-dependent effects on the glutathione redox system and its encoding genes at the dose range used, which means that oxidative stress is not the primary effect of AFB1 toxicity.
Innovative Partnerships for the Elimination of Human African Trypanosomiasis and the Development of Fexinidazole
Authors: Neau Philippe , Hänel Heinz , Lameyre Valérie , Strub-Wourgaft Nathalie , Kuykens Luc
Published: January 2020

Human African Trypanosomiasis (HAT or sleeping sickness) is a life-threatening neglected tropical disease that is endemic in 36 sub-Saharan African countries. Until recently, treatment options were limited and hampered by unsatisfactory efficacy, toxicity, and long and cumbersome administration regimens, compounded by infrastructure inadequacies in the remote rural regions worst affected by the disease. Increased funding and awareness of HAT over the past two decades has led to a steady decline in reported cases (<1000 in 2018). Recent drug development strategies have resulted in development of the first all-oral treatment for HAT, fexinidazole. Fexinidazole received European Medicines Agency positive scientific opinion in 2018 and is now incorporated into the WHO interim guidelines as one of the first-line treatments for HAT, allowing lumbar puncture to become non-systematic. Here, we highlight the role of global collaborations in the effort to control HAT and develop new treatments. The long-standing collaboration between the WHO, Sanofi and the Drugs for Neglected Diseases initiative (Geneva, Switzerland) was instrumental for achieving the control and treatment development goals in HAT, whilst at the same time ensuring that efforts were led by national authorities and control programs to leave a legacy of highly trained healthcare workers and improved research and health infrastructure.
Cultural Memories for Better Place Experience: The Case of Orabi Square in Alexandria, Egypt
Authors: Hussein Fatmaelzahraa , Stephens John , Tiwari Reena
Published: January 2020

Globalization is associated with significant transformations in city forms and cultural and social performances. Governments and cultural heritage organisations increasingly appreciate the importance of preserving diverse physical cultural heritage through rehabilitation and the implementation of conservation plans. Nevertheless, there is a need to evaluate whether these plans understand the importance of cultural memory in societies, as well as how it affects the human psyche. Utilizing Orabi Square, which is one of the richest Historic Urban Landscapes (HUL) in the metropolitan city of Alexandria in Egypt, this study aims to answer the question; to what extent does Historic Urban Landscape (HUL) management present a situation that maintains cultural memory and achieve psychosocial well-being? The research explored the site’s old and new conditions and place experience, applying a qualitative approach through onsite face-to-face semi-structured interviews combined with data from a Facebook group—Alexandria’s Spirit. The QSR Nvivo12 analysis program was used for the data interpretation and for charting the intangible values accompanying cultural memory such as emotions and behaviour. The study indicated that cultural memory is an affective catalyst for emotional attachment to place and is an important factor informing sense of place. Based on our study, inclusion of cultural memories should be an integral element in the future management plans of Orabi Square to enhance place experience and psychosocial well-being.
Phylodynamic Analysis Complements Partner Services by Identifying Acute and Unreported HIV Transmission
Authors: Campbell Ellsworth M. , Patala Anne , Shankar Anupama , Li Jin-Fen , Johnson Jeffrey A. , Westheimer Emily , Gay Cynthia L. , Cohen Stephanie E. , Switzer William M. , Peters Philip J.
Published: January 2020

Tailoring public health responses to growing HIV transmission clusters depends on accurately mapping the risk network through which it spreads and identifying acute infections that represent the leading edge of cluster growth. HIV transmission links, especially those involving persons with acute HIV infection (AHI), can be difficult to uncover, or confirm during partner services investigations. We integrated molecular, epidemiologic, serologic and behavioral data to infer and evaluate transmission linkages between participants of a prospective study of AHI conducted in North Carolina, New York City and San Francisco from 2011–2013. Among the 547 participants with newly diagnosed HIV with polymerase sequences, 465 sex partners were reported, of whom only 35 (7.5%) had HIV sequences. Among these 35 contacts, 23 (65.7%) links were genetically supported and 12 (34.3%) were not. Only five links were reported between participants with AHI but none were genetically supported. In contrast, phylodynamic inference identified 102 unreported transmission links, including 12 between persons with AHI. Importantly, all putative transmission links between persons with AHI were found among large clusters with more than five members. Taken together, the presence of putative links between acute participants who did not name each other as contacts that are found only among large clusters underscores the potential for unobserved or undiagnosed intermediaries. Phylodynamics identified many more links than partner services alone and, if routinely and rapidly integrated, can illuminate transmission patterns not readily captured by partner services investigations.