bluuebunny/crossref_metadata_2025 huggingface dataset:
Consistency Is Critical for the Effective Use of Baited Remote Video
Authors: Jones Robyn E. , Griffin Ross A. , Herbert Roger J. H. , Unsworth Richard K. F.
Published: March 2021

Baited remote underwater videos (BRUV) are popular marine monitoring techniques used for the assessment of motile fauna. Currently, most published studies evaluating BRUV methods stem from environments in the Southern Hemisphere. This has led to stricter and more defined guidelines for the use of these techniques in these areas in comparison to the North Atlantic, where little or no specific guidance exists. This study explores metadata taken from BRUV deployments collected around the UK to understand the influence of methodological and environmental factors on the information gathered during BRUV deployments including species richness, relative abundance and faunal composition. In total, 39 BRUV surveys accumulating in 457 BRUV deployments across South/South-West England and Wales were used in this analysis. This study identified 88 different taxa from 43 families across the 457 deployments. Whilst taxonomic groups such as Labridae, Gadidae and Gobiidae were represented by a high number of species, species diversity for the Clupeidae, Scombridae, Sparidae, Gasterosteidae and Rajidae groups were low and many families were absent altogether. Bait type was consistently identified as one of the most influential factors over species richness, relative abundance and faunal assemblage composition. Image quality and deployment duration were also identified as significant influential factors over relative abundance. As expected, habitat observed was identified as an influential factor over faunal assemblage composition in addition to its significant interaction with image quality, time of deployment, bait type and tide type (spring/neap). Our findings suggest that methodological and environmental factors should be taken into account when designing and implementing monitoring surveys using BRUV techniques. Standardising factors where possible remains key. Fluctuations and variations in data may be attributed to methodological inconsistencies and/or environment factors as well as over time and therefore must be considered when interpreting the data.
In Vitro Exploration of Probiotic Bacteria Interactions with Candida Using Culture Techniques to Model Dysbiotic Conditions in Colonized Tissues
Authors: Wittman Emma , Yar Neela , De Seta Francesco , Larsen Bryan
Published: March 2021

Candida albicans overgrowth at various mucosal sites is an ongoing and complex clinical concern involving interactions with indigenous microbiota and therapeutic or preventive measures superimposed on the pathogen-microbiome interaction. In this paper we describe the use of quantitative flow cytometry (specific to the cytometer’s sample introduction mechanism) to explore the in vitro interaction between Candida albicans, probiotic lactobacilli and a topical vaginal therapeutic. Our central hypothesis was cytometric measurements of co-cultures of yeast and bacteria could provide a useful method for exploring the dynamics of different microbial species in culture, with and without inhibitors. Two commercial products were used as exemplars for this research, a vaginal antimicrobial gel and two species of probiotic lactobacillus intended or oral administration with crystalline bovine lactoferrin to augment the vaginal gel. The cytometer forward channel height parameter distinguished yeast from bacteria in co-culture experiments in the presence of a vaginal therapeutic gel or components of its formulation including EDTA, glycogen, polydextrose as well as the host defense factor, lactoferrin. Flow cytometry showed lactobacilli influenced yeast counts in co-culture, with the technique lending itself to wide-ranging test conditions including organisms, media composition and screening of various antimicrobials. Key findings: The proprietary vaginal gel augmented the effect of lactobacilli, as did EDTA and lactoferrin. Prebiotic compounds also enhanced Candida inhibition by lactobacilli. Propidium iodide (Fluorescence channel 3) discriminated between necrotic and non-necrotic yeast and bacteria in co-cultures under various culture conditions. This research demonstrates the value of flow cytometry to evaluate the population dynamics of yeast and bacteria in co-culture using a proprietary product and its components. We discuss both the limitations of the current study and describe how methods employed here would be transferrable to the investigation of organisms present in defined cultures or at body sites colonized by fungal species and the effects of therapeutics or probiotics on Candida.
Acinetobacter baumannii LOS Regulate the Expression of Inflammatory Cytokine Genes and Proteins in Human Mast Cells
Authors: Kikuchi-Ueda Takane , Ubagai Tsuneyuki , Kamoshida Go , Nakano Ryuichi , Nakano Akiyo , Ono Yasuo
Published: March 2021

Herein, we investigated the effect of bacterial lipooligosaccharides (LOS), from Acinetobacter baumannii, on the expression of pro-inflammatory genes that play an essential role in bacterial clearance. LAD2 human mast cells were stimulated with LOS derived from two strains of A. baumannii—ATCC 19606 and MDRA T14. LOS exposure induced the expression of genes for pro-inflammatory mediators, including TNF-α, IL-8, LTC4S, CCL4, and TLR4. The mRNA expression levels of a majority of the pro-inflammatory genes, except TLR4, in A. baumannii-LOS stimulated mast cells were increased. Moreover, co-culture of neutrophils with the supernatant obtained from LOS (ATCC 19606 and MDRA T14)-induced LAD2 cells increased the transmigration of neutrophils, which plays a critical role in the early protection against bacterial infections. The results of the present study suggest that LOS could be involved in the pathogenicity of A. baumannii by inducing inflammatory responses via mast cells and that IL-8 is involved in recruiting neutrophils in response to bacterial invasion.
Essential Oils: Pharmaceutical Applications and Encapsulation Strategies into Lipid-Based Delivery Systems
Authors: Cimino Cinzia , Maurel Oriana Maria , Musumeci Teresa , Bonaccorso Angela , Drago Filippo , Souto Eliana Maria Barbosa , Pignatello Rosario , Carbone Claudia
Published: March 2021

Essential oils are being studied for more than 60 years, but a growing interest has emerged in the recent decades due to a desire for a rediscovery of natural remedies. Essential oils are known for millennia and, already in prehistoric times, they were used for medicinal and ritual purposes due to their therapeutic properties. Using a variety of methods refined over the centuries, essential oils are extracted from plant raw materials: the choice of the extraction method is decisive, since it determines the type, quantity, and stereochemical structure of the essential oil molecules. To these components belong all properties that make essential oils so interesting for pharmaceutical uses; the most investigated ones are antioxidant, anti-inflammatory, antimicrobial, wound-healing, and anxiolytic activities. However, the main limitations to their use are their hydrophobicity, instability, high volatility, and risk of toxicity. A successful strategy to overcome these limitations is the encapsulation within delivery systems, which enable the increase of essential oils bioavailability and improve their chemical stability, while reducing their volatility and toxicity. Among all the suitable platforms, our review focused on the lipid-based ones, in particular micro- and nanoemulsions, liposomes, solid lipid nanoparticles, and nanostructured lipid carriers.
Gasification of Biomass in Supercritical Water, Challenges for the Process Design—Lessons Learned from the Operation Experience of the First Dedicated Pilot Plant
Authors: Boukis Nikolaos , Stoll I. Katharina
Published: March 2021

Gasification of organic matter under the conditions of supercritical water (T > 374 °C, p > 221 bar) is an allothermal, continuous flow process suitable to convert materials with high moisture content (<20 wt.% dry matter) into a combustible gas. The gasification of organic matter with water as a solvent offers several benefits, particularly the omission of an energy-intensive drying process. The reactions are fast, and mean residence times inside the reactor are consequently low (less than 5 min). However, there are still various challenges to be met. The combination of high temperature and pressure and the low concentration of organic matter require a robust process design. Additionally, the low value of the feed and the product predestinate the process for decentralized applications, which is a challenge for the economics of an application. The present contribution summarizes the experience gained during more than 10 years of operation of the first dedicated pilot plant for supercritical water gasification of biomass. The emphasis lies on highlighting the challenges in process design. In addition to some fundamental results gained from comparable laboratory plants, selected experimental results of the pilot plant “VERENA” (acronym for the German expression “experimental facility for the energetic exploitation of agricultural matter”) are presented.
Vapor Phase Modification for Selective Enrichment of Grafted Styrene/Acrylonitrile onto Carbon Nanotubes Via ATRP
Authors: Azadbakht Maryam , Esmizadeh Elnaz , Vahidifar Ali , Mekonnen Tizazu H. , Salami-Kalajahi Mehdi
Published: March 2021

Nitric acid vapor phase oxidation of multi-walled carbon nanotubes (MWCNTs) was proposed as a promising technique to fabricate poly styrene-co-acrylonitrile (SAN)-grafted-CNTs via atom transfer radical polymerization (ATRP). The in-situ ATRP grafting approach was successfully employed to graft polystyrene (PS), SAN and polyacrylonitrile (PAN), onto the convex surfaces of pristine MWCNTs (PCNT) and acid-functionalized MWCNTs (FCNT). Fourier transform infrared spectroscopy (FTIR), proton nuclear magnetic resonance (1H-NMR), and thermogravimetric analysis (TGA) confirmed the effectiveness of the modification via the ATRP grafting approach. The molar composition of acrylonitrile in the synthesized copolymer on the surface of CNTs for an FCNTs was calculated to be about 80% and 67.5% by 1H-NMR and TGA respectively, whereas the value is lower for PCNTs. Morphological studies showed that SAN-grafted FCNTs exhibit rougher surface morphology compared to the SAN-grafted PCNTs. Moreover, the higher diameter of the FCNTs indicated the higher polymer content, which was coated onto CNTs functionalized by vapor-phase oxidation. Therefore, the vapor phase oxidation strategy employed in this study could be utilized as a general method to prepare CNTs which can serve as an ATRP macroinitiator for the fabrication of various polymer grafted CNTs.
Using Machine Learning Techniques for Asserting Cellular Damage Induced by High-LET Particle Radiation
Authors: Papakonstantinou Dimitris , Zanni Vaso , Nikitaki Zacharenia , Vasileiou Christina , Kousouris Konstantinos , Georgakilas Alexandros G.
Published: March 2021

This is a study concerning the use of Machine Learning (ML) techniques to ascertain the impacts of particle ionizing radiation (IR) on cell survival and DNA damage. Current empirical models do not always take into account intrinsic complexities and stochastic effects of the interactions of IR and cell populations. Furthermore, these models often lack in biophysical interpretations of the irradiation outcomes. The linear quadratic (LQ) model is a common way to associate the biological response of a cell population with the radiation dose. The parameters of the LQ model are used to extrapolate the relation between the dosage and the survival fraction of a cell population. The goal was to create a ML-based model that predicts the α and β parameters of the well known and established LQ model, along with the key metrics of DNA damage induction. The main target of this effort was, on the one hand, the development of a computational framework that will be able to assess key radiobiophysical quantities, and on the other hand, to provide meaningful interpretations of the outputs. Based on our results, as some metrics of the adaptability and training efficiency, our ML models exhibited 0.18 median error (relative root mean squared error (RRMSE)) in the prediction of the α parameter and errors of less than 0.01 for various DNA damage quantities; the prediction for β exhibited a rather large error of 0.75. Our study is based on experimental data from a publicly available dataset of irradiation studies. All types of complex DNA damage (all clusters), and the number of double-stranded breaks (DSBs), which are widely accepted to be closely related to cell survival and the detrimental biological effects of IR, were calculated using the fast Monte Carlo Damage Simulation software (MCDS). We critically discussed the varying importance of physical parameters such as charge and linear energy transfer (LET); we also discussed the uncertainties of our predictions and future directions, and the dynamics of our approach.
The Weight of Bodily Presence in Art and Liturgy
Authors: Venable Hannah Lyn
Published: March 2021

This essay addresses the question of virtual church, particularly on whether or not liturgy can be done virtually. We will approach our subject from a somewhat unusual perspective by looking to types of aesthetic experiences which we have been doing “virtually” for a long time. By exploring how we experience art in virtual and physical contexts, we gain insight into the corresponding experiences in liturgical practices. Drawing on Mikel Dufrenne, Maurice Merleau-Ponty and Gabriel Marcel, I first examine the importance of the body when we experience “presence” in aesthetic environments. Next, I consider the weight of the body in experiences of presence in liturgical practices, both in person and virtual, guided again by Gabriel Marcel as well as Bruce Ellis Benson, Emmanuel Falque, Christina Gschwandtner and Éric Palazzo. Through these reflections, I argue that what art teaches us about the significance of the physical closeness of the human applies to the practice of liturgy and that, while unexpected benefits will surface in virtual settings, nothing replaces the powerful experiences that arise when the body is physically present.
A Watershed-Segmentation-Based Improved Algorithm for Extracting Cultivated Land Boundaries
Authors: Xue Yongan , Zhao Jinling , Zhang Mingmei
Published: March 2021

To accurately extract cultivated land boundaries based on high-resolution remote sensing imagery, an improved watershed segmentation algorithm was proposed herein based on a combination of pre- and post-improvement procedures. Image contrast enhancement was used as the pre-improvement, while the color distance of the Commission Internationale de l´Eclairage (CIE) color space, including the Lab and Luv, was used as the regional similarity measure for region merging as the post-improvement. Furthermore, the area relative error criterion (δA), the pixel quantity error criterion (δP), and the consistency criterion (Khat) were used for evaluating the image segmentation accuracy. The region merging in Red–Green–Blue (RGB) color space was selected to compare the proposed algorithm by extracting cultivated land boundaries. The validation experiments were performed using a subset of Chinese Gaofen-2 (GF-2) remote sensing image with a coverage area of 0.12 km2. The results showed the following: (1) The contrast-enhanced image exhibited an obvious gain in terms of improving the image segmentation effect and time efficiency using the improved algorithm. The time efficiency increased by 10.31%, 60.00%, and 40.28%, respectively, in the RGB, Lab, and Luv color spaces. (2) The optimal segmentation and merging scale parameters in the RGB, Lab, and Luv color spaces were C for minimum areas of 2000, 1900, and 2000, and D for a color difference of 1000, 40, and 40. (3) The algorithm improved the time efficiency of cultivated land boundary extraction in the Lab and Luv color spaces by 35.16% and 29.58%, respectively, compared to the RGB color space. The extraction accuracy was compared to the RGB color space using the δA, δP, and Khat, that were improved by 76.92%, 62.01%, and 16.83%, respectively, in the Lab color space, while they were 55.79%, 49.67%, and 13.42% in the Luv color space. (4) Through the visual comparison, time efficiency, and segmentation accuracy, the comprehensive extraction effect using the proposed algorithm was obviously better than that of RGB color-based space algorithm. The established accuracy evaluation indicators were also proven to be consistent with the visual evaluation. (5) The proposed method has a satisfying transferability by a wider test area with a coverage area of 1 km2. In addition, the proposed method, based on the image contrast enhancement, was to perform the region merging in the CIE color space according to the simulated immersion watershed segmentation results. It is a useful attempt for the watershed segmentation algorithm to extract cultivated land boundaries, which provides a reference for enhancing the watershed algorithm.
Investigation of Low Latitude Spread-F Triggered by Nighttime Medium-Scale Traveling Ionospheric Disturbance
Authors: Deng Zhongxin , Wang Rui , Liu Yi , Xu Tong , Wang Zhuangkai , Chen Guanyi , Tang Qiong , Xu Zhengwen , Zhou Chen
Published: March 2021

In the current study, we investigated the mechanism of medium-scale traveling ionospheric disturbance (MSTID) triggering spread-F in the low latitude ionosphere using ionosonde observation and Global Navigation Satellite System-Total Electron Content (GNSS-TEC) measurement. We use a series of morphological processing techniques applied to ionograms to retrieve the O-wave traces automatically. The maximum entropy method (MEM) was also utilized to obtain the propagation parameters of MSTID. Although it is widely acknowledged that MSTID is normally accompanied by polarization electric fields which can trigger Rayleigh–Taylor (RT) instability and consequently excite spread-F, our statistical analysis of 13 months of MSTID and spread-F occurrence showed that there is an inverse seasonal occurrence rate between MSTID and spread-F. Thus, we assert that only MSTID with certain properties can trigger spread-F occurrence. We also note that the MSTID at night has a high possibility to trigger spread-F. We assume that this tendency is consistent with the fact that the polarization electric field caused by MSTID is generally the main source of post-midnight F-layer instability. Moreover, after thorough investigation over the azimuth, phase speed, main frequency, and wave number over the South America region, we found that the spread-F has a tendency to be triggered by nighttime MSTID, which is generally characterized by larger ΔTEC amplitudes.
Offshore Hydrocarbon Exploitation Observations from VIIRS NTL Images: Analyzing the Intensity Changes and Development Trends in the South China Sea from 2012 to 2019
Authors: Wang Qi , Wu Wenzhou , Su Fenzhen , Xiao Han , Wu Yutong , Yao Guobiao
Published: March 2021

The South China Sea is rich in hydrocarbon resources and has been exploited for decades by countries around it. However, little is known about the hydrocarbon exploitation (HE) activities in the South China Sea in recent years, especially its intensity changes and development trends. Here, a long-time series of monthly Visible Infrared Imaging Radiometer Suite (VIIRS) nighttime light (NTL)images were applied to observe and analyze the HE dynamics in the South China Sea from 2012 to 2019. A target recognition method combining feature increment strategy and random forest model was proposed to obtain the spatial distribution of offshore HE targets, with an average comprehensive precision of 94.44%. Then, a spatio-temporal statistical analysis was carried out on the intensity changes and development trends of HE activities. The results showed that: (1) From 2012 to 2019, the quantity of HE targets in the South China Sea has increased from 215 to 310, from rapid to stable increasing taking 2014 as a turning point. (2) The distribution density of HE targets increases year by year, with the maximum density reaching 59/ 10,000 Km2, and with the most significant increase in the new hydrocarbon-bearing fields close to the deep-sea. (3) The quantity of HE targets shallower than -300m has been increasing with years, but showing a decreasing proportion trend, falling from 96.7% in 2012 to 94.2% of the total in 2019. (4) After 2015, the exploitation core of most hydrocarbon-bearing basins began to shift from shallow-sea to deep-sea, with gradually increasing exploitation depth, among which the maximum depth reaching −1580 m. Against the background of the changes in international crude oil prices and the vigorous development of deep-sea HE, this research provides important information and methodological references for the formulation and analysis of offshore hydrocarbon resource exploitation strategies.
Precipitation Retrievals from Passive Microwave Cross-Track Sensors: The Precipitation Retrieval and Profiling Scheme
Authors: Kidd Chris , Matsui Toshi , Ringerud Sarah
Published: March 2021

The retrieval of precipitation (snowfall and rainfall) from satellite sensors on a global basis is essential in aiding our knowledge and understanding of the Earth System and for many societal applications. Measurements from surface-based instruments are essentially limited to populated regions, necessitating the use of satellite-based observations to provide estimates of precipitation across the whole of the Earth’s surface. The temporal and spatial variability of precipitation requires adequate sampling, especially at finer resolutions. It is, therefore, necessary to exploit all available data from precipitation-capable satellites to ensure the proper representation of precipitation. To date, the estimation of precipitation using passive microwave observations has been largely concentrated upon the conically scanning imaging instruments, with relatively few techniques exploiting the observations made from the cross-track sounders. This paper describes the development of the Precipitation Retrieval and Profiling Scheme (PRPS) to retrieve precipitation from cross-track sensors, together with its performance against surface radar data and other satellite precipitation retrievals.
Retrieving Forest Canopy Elements Clumping Index Using ICESat GLAS Lidar Data
Authors: Cui Lei , Jiao Ziti , Zhao Kaiguang , Sun Mei , Dong Yadong , Yin Siyang , Zhang Xiaoning , Guo Jing , Xie Rui , Zhu Zidong , Li Sijie , Tong Yidong
Published: March 2021

Clumping index (CI) is a canopy structural variable important for modeling the terrestrial biosphere, but its retrieval from remote sensing data remains one of the least reliable. The majority of regional or global CI products available so far were generated from multiangle optical reflectance data. However, these reflectance-based estimates have well-known limitations, such as the mere use of a linear relationship between the normalized difference hotspot and darkspot (NDHD) and CI, uncertainties in bidirectional reflectance distribution function (BRDF) models used to calculate the NDHD, and coarse spatial resolutions (e.g., hundreds of meters to several kilometers). To remedy these limitations and develop alternative methods for large-scale CI mapping, here we explored the use of spaceborne lidar—the Geoscience Laser Altimeter System (GLAS)—and proposed a semi-physical algorithm to estimate CI at the footprint level. Our algorithm was formulated to leverage the full vertical canopy profile information of the GLAS full-waveform data; it converted raw waveforms to forest canopy gap distributions and gap fractions of random canopies, which was used to estimate CI based on the radiative transfer theory and a revised Beer–Lambert model. We tested our algorithm over two areas in China—the Saihanba National Forest Park and Heilongjiang Province—and assessed its relative accuracies against field-measured CI and MODIS CI products. We found that reliable estimation of CI was possible only for GLAS waveforms with high signal-to-noise ratios (e.g., >65) and at gentle slopes (e.g., <12°). Our GLAS-based CI estimates for high-quality waveforms compared well to field-based CI (i.e., R2 = 0.72, RMSE = 0.07, and bias = 0.02), but they showed less correlation to MODIS CI (e.g., R2 = 0.26, RMSE = 0.12, and bias = 0.04). The difference highlights the impact of the scale effect in conducting comparisons of products with huge differences resolution. Overall, our analyses represent the first attempt to use spaceborne lidar to retrieve high-resolution forest CI and our algorithm holds promise for mapping CI globally.
Twentieth and Twenty-First Century Water Storage Changes in the Nile River Basin from GRACE/GRACE-FO and Modeling
Authors: Hasan Emad , Tarhule Aondover , Kirstetter Pierre-Emmanuel
Published: March 2021

This research assesses the changes in total water storage (TWS) during the twentieth century and future projections in the Nile River Basin (NRB) via TWSA (TWS anomalies) records from GRACE (Gravity Recovery and Climate Experiment), GRACE-FO (Follow-On), data-driven-reanalysis TWSA and a land surface model (LSM), in association with precipitation, temperature records, and standard drought indicators. The analytical approach incorporates the development of 100+ yearlong TWSA records using a probabilistic conditional distribution fitting approach by the GAMLSS (generalized additive model for location, scale, and shape) model. The model performance was tested using standard indicators including coevolution plots, the Nash–Sutcliffe coefficient, cumulative density function, standardized residuals, and uncertainty bounds. All model evaluation results are satisfactory to excellent. The drought and flooding severity/magnitude, duration, and recurrence frequencies were assessed during the studied period. The results showed, (1) The NRB between 2002 to 2020 has witnessed a substantial transition to wetter conditions. Specifically, during the wet season, the NRB received between ~50 Gt./yr. to ~300 Gt./yr. compared to ~30 Gt./yr. to ~70 Gt./yr. of water loss during the dry season. (2) The TWSA reanalysis records between 1901 to 2002 revealed that the NRB had experienced a positive increase in TWS of ~17% during the wet season. Moreover, the TWS storage had witnessed a recovery of ~28% during the dry season. (3) The projected TWSA between 2021 to 2050 unveiled a positive increase in the TWS during the rainy season. While during the dry season, the water storage showed insubstantial TWS changes. Despite these projections, the future storage suggested a reduction between 10 to 30% in TWS. The analysis of drought and flooding frequencies between 1901 to 2050 revealed that the NRB has ~64 dry-years compared to ~86 wet-years. The exceedance probabilities for the normal conditions are between 44 to 52%, relative to a 4% chance of extreme events. The recurrence interval of the normal to moderate wet or dry conditions is ~6 years. These TWSA trajectories call for further water resources planning in the region, especially during flood seasons. This research contributes to the ongoing efforts to improve the TWSA assessment and its associated dynamics for transboundary river basins.
High-Sensitivity Whispering Gallery Mode Humidity Sensor Based on Glycerol Microdroplet Volumetric Expansion
Authors: Reinis Pauls Kristaps , Milgrave Lase , Draguns Kristians , Brice Inga , Alnis Janis , Atvars Aigars
Published: March 2021

We demonstrate a highly sensitive whispering gallery mode (WGM) relative humidity (RH) sensor based on a glycerol microdroplet. WGMs were excited using a 760 nm tunable semiconductor laser. We used free space coupling, which is effective when using a liquid resonator. A detailed analysis of different parameters influencing the sensor’s characteristics (sensitivity, hysteresis, resolution, stability, and temperature) is presented. The sensitivity of the sensor is one of the highest reported (2.85 nm/% RH in the range 50–70% RH with the resolution 1 × 10−4% RH). This type of humidity sensor has several advantages, such as high sensitivity, extended lifetime, good repeatability, and low cost, as well as the use of a non-toxic and environmentally friendly liquid.
Dynamic Set Planning for Coordinated Multi-Point in B4G/5G Networks
Authors: Liang Jia-Ming , Hsu Ching-Kuo , Chen Jen-Jee , Lin Po-Han , Hsu Po-Min , Chen Tzung-Shi
Published: March 2021

Coordinated Multi-Point (CoMP) is an important technique in B4G/5G networks. With CoMP, multiple base stations can be clustered to compose a cooperating set to improve system throughput, especially for the users in cell edges. Existed studies have discussed how to mitigate overloading scenarios and enhance system throughput with CoMP statically. However, static cooperation fixes the set size and neglects the fast-changing of B4G/5G networks. Thus, this paper provides a full study of off-peak hours and overloading scenarios. During off-peak hours, we propose to reduce BSs’ transmission power and use the free radio resource to save energy while guaranteeing users’ QoS. In addition, if large-scale activities happen with crowds gathering or in peak hours, we dynamically compose the cooperating set based on instant traffic requests to adjust base stations’ BSs’ transmission power; thus, the system will efficiently offload the traffic to the member cells which have available radio resources in the cooperating set. Experimental results show that the proposed schemes enhance system throughput, radio resource utilization, and energy efficiency, compared to other existing schemes.
RETRACTED: Lithuanian National Costume in the 19th Century and in the 2nd Half of the 20th Century: Cultural Pollution and Remains of Authenticity
Authors: Kumpikaitė Eglė , Milašius Rimvydas
Published: March 2021

Lithuanian authors, authors abroad, and artists have presented Lithuanian folk clothes in their works. However, the oldest examples of these representations are not very reliable, because the authors painted them according to the descriptions of other people or copied works among each other. In the 20th century, the national costume of Lithuania changed considerably. Attention was not given to ethnographic regional peculiarities; instead, similar materials were chosen without any analysis. This article performs a comparative analysis of folk (the 19th century to the first half of the 20th century) and national (the second half of the 20th century) Lithuanian costumes to establish signs of cultural pollution and remaining authenticity. Over 500 articles of clothing with different purposes are collected from Lithuanian museums. Fabric parameters, such as raw materials, weaving technique, weave, pattern, decoration elements, etc., are established. The research results show that authentic folk clothes of the 19th century differ from the national costume of the second half of the 20th century in their cut, decoration, and patterns. No differences between ethnographic regions survived in the national costumes. Thus, at present, we must preserve our tangible heritage and re-create, as authentically as possible, national costume for folk songs and dance ensembles, folk restaurants, and rural tourism homesteads.
Effects of Different Exercise Conditions on Antioxidant Potential and Mental Assessment
Authors: Yatabe Kanaka , Muroi Ryota , Kumai Takanori , Kotani Takashi , Somemura Shu , Yui Naoko , Murofushi Yuka , Terawaki Fumiko , Kobayashi Hajime , Yudoh Kazuo , Sakurai Hiroyuki , Miyano Hisao , Fujiya Hiroto
Published: March 2021

Exercise increases oxidative stress, leading the body to strengthen its antioxidant defenses, thus reducing the incidence of major diseases. As these associations are relatively unclear for ordinary levels of exercise for reduced stress, this study evaluated the effects of different exercise conditions on diacron-reactive oxygen metabolites (d-ROMs), biological antioxidant potential (BAP), and subjective mood. Forty-nine students (22.4 ± 2.6 years) were assessed using the Profile of Mood States (POMS) before and after exercising for 60 min. Participants were divided into two groups: Group A engaged in compulsory sports and Group B in freely chosen sports. d-ROMs and BAP were measured, and their modified ratio was calculated as an index of antioxidant potential. Physiological evaluation showed significant improvements in BAP and the BAP/d-ROMs ratio, irrespective of exercise condition (p < 0.001, p < 0.01). Comparison between the exercise conditions revealed a significant difference in the modified ratio (p < 0.02). In mood assessment, scores on emotion-related scales without vigor improved significantly under both exercise conditions (p < 0.001). Mental changes were evident after exercise, and potential antioxidant capacity was higher in freely chosen sports (p < 0.03). Assessment of antioxidant status before and after exercise may provide an objective index of mental and physical conditioning.
Household-Level Determinants of Participation in Forest Support Programmes in the Miombo Landscapes, Zambia
Authors: Kazungu Moses , Zhunusova Eliza , Kabwe Gillian , Günter Sven
Published: March 2021

The need to protect forest resources from unsustainable, yet rational, human actions has attracted global attention. This is because smallholder dependence on forests can degrade forest resources and cause deforestation. While efforts to understand forest programmes and motivations to protect forests have increased in recent decades, there remains a limited understanding of household factors affecting participation in forest support programmes, especially in the context of high-pressure areas, such as the Miombo woodlands. This study was conducted in the North-Western, Copperbelt and Eastern Province of Zambia. In each province, we selected landscapes consisting of protected and non-protected forest areas. We administered structured interviews to 1123 households and used logistic regression to estimate determinants of participation. We found that better education, landholding size, increased share of forest income, cash crops and non-farm income, and access to forests and markets have a negative impact on participation in forest support programmes. Being located in landscapes with protected areas was positively associated with participation. We suggest that, in order to increase participation, forest programmes should focus on households with low levels of education, limited livelihood opportunities, and poor access to markets. Besides, programmes should provide incentives, including support for farm inputs and at the same time encourage reforestation and agroforestry methods.
Soil Respiration May Overestimate or Underestimate in Forest Ecosystems
Authors: Cao Yuanbo , Xiao Huijie , Wang Baitian , Zhang Yunlong , Wu Honghui , Wang Xijing , Yang Yadong , Wei Tingting
Published: March 2021

The inappropriate selection of measurement points and measurement times in an ecosystem may easily lead to the underestimation or overestimation of soil respiration due to spatial and temporal heterogeneity. To assess the law of spatial and temporal heterogeneity and more accurately determine the soil respiration rate, we measured the soil respiration rate of a forest in the plant growing season from 2011 to 2013 on Changbai Mountain in 8 directions and 7 distances from each tree trunk. Neglecting the direction of the measuring point may overestimate or underestimate the soil respiration rate by 29.81% and 26.09%, respectively; neglecting the distance may overestimate or underestimate the soil respiration rate by 41.36% and 20.28%, respectively; and ignoring the measurement time may overestimate and underestimate the soil respiration rate by 41.71% and 57.64%, respectively. In addition, choosing a measurement point in the eastern direction at a 1.8 m distance and conducting the measurement in September may relatively accurately reflect the soil respiration rate of the ecosystem. These findings can deepen our understanding of soil respiration rate heterogeneity and may provide new ideas for improving the measurement method of soil respiration.
Low Energy Renovation of Social Housing: Recommendations on Monitoring and Renewable Energies Use
Authors: Seabra Bianca , Pereira Pedro F. , Corvacho Helena , Pires Carla , Ramos Nuno M. M.
Published: March 2021

Social housing represents a part of the whole building stock with a high risk of energy poverty, and it should be treated as a priority in renovation strategies, due to its potential for improvement and the need to fight that risk. Renovation actions are currently designed based on patterns that have been shown to be disparate from the reality of social housing. Thereby, a monitoring study is essential for the evaluation of the actual conditions. An in-depth characterization of a social housing neighborhood, located in the North of Portugal, was carried out. Indoor hygrothermal conditions were analyzed through a monitoring campaign. It was possible to identify the differences in indoor conditions of the dwellings and understand the influence of occupancy density and occupants’ behavior. In order to identify the actual occupancy and the type of use, a social survey was performed. A renovation action will soon take place, and a monitoring and survey plan is proposed for the post-renovation period, based on a previous evaluation of the renovation impact, using DesignBuilder software and the real occupancy profiles. In social housing context, since energy consumption for heating and cooling is punctual or non-existent, the focus of low energy renovation should be based on passive strategies that reduce the energy demand. The remaining energy needs should be supplied by renewable energy sources, reducing energy poverty, and enhancing quality of life.
Economic Impact of Eliminating the Fuel Tax Exemption in the EU Fishing Fleet
Authors: Carvalho Natacha , Guillen Jordi
Published: March 2021

The EU-27 fishing fleet consumed 2.02 billion liters of fuel to catch 4.48 million tons of fish, valued at €6.7 billion in 2018. The profitability of the EU fishing fleet shows an increasing trend, partly due to the improvements in the energy efficiency and recovery of fish stocks in the North-east Atlantic. Fuel is one of the main expenses fishing fleets have, and therefore, their economic performance remains highly dependent on the fuel price, even if they benefit from a fuel tax exemption. The adoption of the European Green Deal, the revision of the Energy Taxation Directive (ETD), the ongoing World Trade Organization (WTO) negotiation to prohibit harmful fisheries subsidies, and general public opinion are putting pressure to eliminate this tax exemption. This analysis investigates the impacts of the potential elimination of the fuel tax exemption across the different EU fishing fleets and it is discussed to what extent the small-scale, large-scale and distant-water fleets could be affected. This analysis is useful to inform policy-makers and stakeholders on the consequences of the potential elimination of the fuel tax exemption, as well as to discuss potential measures to mitigate the socioeconomic impacts arising from this eventual change in the current regulatory framework.
Lighting for Cultural and Heritage Site: An Innovative Approach for Lighting in the Distinct Pagoda-Style Architecture of Nepal
Authors: Bista Diwakar , Bista Aayush , Shrestha Ashish , Doulos Lambros T. , Bhusal Pramod , Zissis Georges , Topalis Frangiskos , Chhetri Bhupendra Bimal
Published: March 2021

Nepal houses many traditional and cultural sites rich in historical cultural diversity. These sites are also economically important to the nation. These monuments show the culture and the living beliefs of the communities; hence, people from all over the world are attracted to such place to observe the beauty and to feel the spirit and the conservational perspectives behind these articulated edifices. In today’s context, artificial light is a basic necessity for human activities and has been used in various applications: one such application being night-time illumination of historical sites and monuments. Most of the historic monuments in Nepal were constructed during the 15th to 18th century and are designed to incorporate oil-based wick lamp as the light source. Recently with the availability of modern luminaires and lack of technical expertise and scientific approach, most of the historic sites are being filled up with uneven, exaggerated, and inappropriate illumination. This inappropriate illumination practice may lead to negative consequences that may create disturbance to human and the surrounding environment. Scope of this paper is to identify the special needs for illuminating cultural and heritage sites with Pagoda-style architecture and introduce a methodology for a case study in Nepal. As a first step, this paper analyzes lighting malpractices in the temples of Nepal at different geographical locations and cultural values. As a next step, a prototype LED luminaire that enhances the unique type of architecture of Nepalese heritage sites was built, installed, and demonstrated in one of the temples. The work presents the design process of the lighting system and the results of a new lighting installation. The study also discusses possible problems that may arise while designing lighting for cultural and heritage site and provides recommendations on considerations to be taken during the design.
Effective Training Evaluation: The Role of Factors Influencing the Evaluation of Effectiveness of Employee Training and Development
Authors: Urbancová Hana , Vrabcová Pavla , Hudáková Monika , Petrů Gabriela Ježková
Published: March 2021

If an organisation is to develop in today’s highly competitive environment, it cannot do so without continuous training and development of its employees. The benefit to the individual can be assessed by a measurable degree of his knowledge, mastering a certain operation, etc. Evaluating the effectiveness of training is not easy, because very often we work with quantities that are difficult to quantify, and therefore difficult to measure. The prerequisite is the precise definition of educational goals and ensuring the controllability of educational results (training). This article aims to find factors influencing evaluation of effectiveness of employee training and development. The data was obtained from a questionnaire survey in which 207 organisations operating in the Czech Republic participated. The results show that when evaluating the effectiveness of employee training, organisations prefer methods based on subjective evaluation by an evaluator (direct supervisors, colleagues), but also on their own self-evaluation regarding the number of training days. Due to the coronavirus pandemic, current human resources (HR) trends and priorities for 2021 have changed significantly. The systematic process of evaluating employee training effectiveness depends on the business sector (p-value 0.022), on the fact that the organisation is or is not a part of a larger group (p-value 0.000), on (non)existence of an HR department (p-value 0.000), and on the organisation size (p-value 0.000).
Influence of Urbanization and Foreign Direct Investment on Carbon Emission Efficiency: Evidence from Urban Clusters in the Yangtze River Economic Belt
Authors: Wu Shijian , Zhang Kaili
Published: March 2021

Reducing carbon emissions and realizing green, circular, and low-carbon development is essential for high-quality economic development. Following the construction of a superefficiency SBM model and combining the panel data of three major urban agglomerations in the Yangtze River Economic Belt from 2003 to 2017, carbon emission efficiency was measured and analyzed. A spatial Durbin model (SDM) was incorporated to analyze the urban agglomerations in the Yangtze River Economic Belt and the impact of urbanization quality and foreign direct investment (FDI) on carbon emission efficiency. Finally, the SDM model was used to decompose the spillover effect. Generally, carbon emission efficiency in the three major urban agglomerations in the Yangtze River Economic Belt is low, with regional differences. FDI only has a positive impact on the carbon emissions of the Yangtze River Delta and the middle reaches of the Yangtze River. Furthermore, urbanization and population density have led to high levels of carbon emission in the region; however, the industrial structure and energy intensity factors have inhibited the improvement of regional carbon emission efficiency. Improving the quality of urbanization and trade structure is important to achieve energy conservation and emission reductions, which are pillars of sustainable economic development.
Refugees Welcome? Online Hate Speech and Sentiments in Twitter in Spain during the Reception of the Boat Aquarius
Authors: Arcila-Calderón Carlos , Blanco-Herrero David , Frías-Vázquez Maximiliano , Seoane-Pérez Francisco
Published: March 2021

High-profile events can trigger expressions of hate speech online, which in turn modifies attitudes and offline behavior towards stigmatized groups. This paper addresses the first path of this process using manual and computational methods to analyze the stream of Twitter messages in Spanish around the boat Aquarius (n = 24,254) before and after the announcement of the Spanish government to welcome the boat in June 2018, a milestone for asylum seekers acceptance in the EU and an event that was highly covered by media. It was observed that most of the messages were related to a few topics and had a generally positive sentiment, although a significant part of messages expressed rejection or hate—often supported by stereotypes and lies—towards refugees and migrants and towards politicians. These expressions grew after the announcement of hosting the boat, although the general sentiment of the messages became more positive. We discuss the theoretical, practical, and methodological implications of the study, and acknowledge limitations referred to the examined timeframe and to the preliminary condition of the conclusions.
R&D, Marketing, Strategic Planning, or Human Resources? Which CEO Career Is Most Helpful for the Economic Sustainability of ICT Startups in South Korea?
Authors: Kim Hongbum , Jo Yuri , Lee Daeho
Published: March 2021

The market performance of a company is greatly influenced by the functional experience of the chief executive. In the case of a small startup, the functional experience of the chief executive is even greater. Based on career data of chief executives, this study first classifies startups in the information and communication technology (ICT) industry into four different groups. In addition, this study analyzes the effect of the CEO’s experience on the market performance of ICT startups by deriving the efficiency of each company using the financial data of ICT startups provided in the database. This study estimates the technical efficiency of each group using stochastic frontier analysis and then uses meta-frontier analysis to compare the efficiency of different groups. As a result, the CEO group with a career in strategy and planning showed the highest meta-frontier efficiency, whereas the CEO group with a career in R&D showed the lowest.