bluuebunny/crossref_metadata_2025 huggingface dataset:
Recent Advances in Diagnostic Approaches for Epstein–Barr Virus
Authors: Abusalah Mai Abdel Haleem , Gan Siew Hua , Al-Hatamleh Mohammad A. I. , Irekeola Ahmad Adebayo , Shueb Rafidah Hanim , Yean Yean Chan
Published: March 2020

Epstein–Barr virus (EBV) is the causative agent of many diseases including infectious mononucleosis (IM), and it is associated with different subtypes of lymphoma, sarcoma and carcinoma such as Hodgkin’s lymphoma, non-Hodgkin’s lymphoma, nasopharyngeal carcinoma, and gastric carcinoma. With the advent of improved laboratory tests for EBV, a timelier and accurate diagnosis could be made to aid better prognosis and effective treatment. For histopathological lesions, the in situ hybridization (ISH) of EBV-encoded RNA (EBER) in biopsy tissues remains the gold standard for detecting EBV. Methods such as the heterophile antibody test, immunofluorescence assays, enzyme immunoassays, Western blot, and polymerase chain reaction (PCR) are also employed in the detection of EBV in different types of samples. The determination of EBV viral load using PCR, however, is gaining more prominence in the diagnosis of EBV-associated diseases. Given the challenge of false positive/negative results that are sometimes experienced during the detection of EBV, variability in results from different laboratories, and the impact of factors such as sample type and the immunological status of patients from whom samples are collected, the need to critically examine these present methods is invaluable. This review thus presents current advances in the detection of EBV, detailing the advantages and disadvantages of the various techniques. In addition, fundamental virological concepts are highlighted to enhance the greater understanding, the proper application, and the interpretation of EBV tests.
The Role of Root Exudates of Barley Colonized by Pseudomonas fluorescens in Enhancing Root Colonization by Fusarium culmorum
Authors: Vishnevskaya Nadezhda , Shakhnazarova Vlada , Shaposhnikov Alexander , Strunnikova Olga
Published: March 2020

The aim of this study was to find out why after joint inoculation of the substrate with the phytopathogenic fungus Fusarium culmorum and the antagonistic bacterium Pseudomonas fluorescens the amount of the fungus on the root surface in the beginning of the colonization was greater on the roots colonized by the bacterium than on control roots. This phenomenon is especially interesting because joint inoculation with P. fluorescens was always followed by a considerable decrease in the incidence of Fusarium root rot. In two experiments barley was grown in sterile vermiculite inoculated only with F. culmorum, only with P. fluorescens and jointly with the fungus and the bacterium. In the control, vermiculite was not inoculated with any microorganisms. After the removal from the vermiculite, barley plants were transferred into deionized water for the collection of root exudates. The duration of barley growth in the vermiculite and in the water was different in the two experiments. The exudates were tested for their ability to elicit chemotropism in F. culmorum and influence its growth. We did not observe any chemotropism of F. culmorum towards barley root exudates. However, the exudates of the barley colonized by the bacterium stimulated the growth of fungal germ tubes. Using an ultra-performance liquid chromatography system, we found that experimental conditions influenced the quantitative composition of the exudates. The amount of amino acids in the solution of exudates decreased considerably after a prolonged growth of control barley in water, while the presence of P. fluorescens resulted in a considerably increase of the amount of amino acids in the exudates. The exudates of barley colonized by P. fluorescens contained much more glucose, lactic acid and several amino acids than the exudates of control barley. These components are known to be necessary for the growth of F. culmorum. Their presence in the exudates of barley colonized by P. fluorescens seems to be the reason of a more active colonization by the fungus of barley roots colonized by the bacterium.
Tetraploid Induction by Colchicine Treatment and Crossing with a Diploid Reveals Less-Seeded Fruit Production in Pointed Gourd (Trichosanthes dioica Roxb.)
Authors: Hassan Jahidul , Miyajima Ikuo , Ozaki Yukio , Mizunoe Yuki , Sakai Kaori , Zaland Wasimullah
Published: March 2020

Pointed gourd (Trichosanthes dioica Roxb.) (2n = 2x = 22) is a dioecious cucurbit vegetable and green fruit that is edible after cooking. Consumers prefer to consume seedless or less-seeded fruit because seeds are unpalatable due to their hard coats. Therefore, the cross compatibility between the diploid and induced tetraploid will be helpful for seedless or less-seeded fruit production. Thus, the present study was conducted using mature seeds that were immersed in 0.05%, 0.1%, and 0.5% colchicine for 24, 48, and 72 h to induce tetraploids. These tetraploids were used as parents (male or female) in the inter-ploidy and intra-ploidy crosses. A flow cytometric analysis confirmed the induction of three tetraploids at 0.5% colchicine for 48 and 72 h soaking periods. Among these, two (2) females and one (1) male were differentiated after flower initiation. Crossing between the tetraploid’s maternal and diploid paternal parent (4x × 2x), which were revealed to be compatible, resulted in a similar fruit set rate and shape as those of the diploid. In addition, a seed number of 4x × 2x produced fruits that were drastically reduced to 1.8 seeds per fruit, whereas the natural diploid fruits had 26.4 seeds per fruit. These findings suggest that colchicine-induced tetraploid females are important genetic resources for less-seeded fruit production. The genetic stability of tetraploid clones can easily and effectively be maintained by vine cutting for advanced uses.
Yield, Essential Oil and Quality Performances of Artemisia dracunculus, Hyssopus officinalis and Lavandula angustifolia as Affected by Arbuscular Mycorrhizal Fungi under Organic Management
Authors: Golubkina Nadezhda , Logvinenko Lidia , Novitsky Maxim , Zamana Svetlana , Sokolov Sergey , Molchanova Anna , Shevchuk Oksana , Sekara Agneszka , Tallarita Alessio , Caruso Gianluca
Published: March 2020

Utilization of arbuscular mycorrhizal fungi (AMF) for enhancing growth and development as well as production of essential oil in aromatic plants has been increasingly drawing research interest. In order to assess the AMF effects on different aromatic species, an open-field experiment was carried out using Artemisia dracunculus (tarragon), Lavandula angustifolia (lavender) and Hyssopus officinalis (hyssop). AMF stimulated the growth of tarragon and lavender plants, whereas hyssop showed a slight developmental slowing; nonetheless, a significant increase in essential oil content in the three species was seen. AMF application increased the biomass of A. dracunculus and H. officinalis by 20–35%. No differences in antioxidant activity and phenolics content were recorded at harvest between the control and AMF-inoculated plants, but the latter showed a significant increase in antioxidant status upon storage at high temperature and humidity compared to the untreated control. The enhancement of abiotic stress resistance during storage in plants inoculated with AMF was the highest in A. dracunculus, and the lowest in H. officinalis, while the untreated control plants showed a significant decrease in phenolics, ascorbic acid and chlorophyll content, as well as antioxidant activity, upon the abiotic stress. AMF inoculation differentially affected the mineral composition, increasing the accumulation of Se, I and Zn in A. dracunculus, and decreasing the levels of heavy metals and Co, Fe, Li, Mn in H. officinalis. Based on the outcome of the present research, AMF inoculation resulted in a significant enhancement of the overall performances of A. dracunculus, L. angustifolia and H. officinalis, and also in the improvement of plant antioxidant status upon storage in stress conditions.
Role of Proton Motive Force in Photoinduction of Cytoplasmic Streaming in Vallisneria Mesophyll Cells
Authors: Harada Akiko , Okazaki Yoshiji , Kinoshita Toshinori , Nagai Reiko , Takagi Shingo
Published: March 2020

In mesophyll cells of the aquatic monocot Vallisneria, red light induces rotational cytoplasmic streaming, which is regulated by the cytoplasmic concentration of Ca2+. Our previous investigations revealed that red light induces Ca2+ efflux across the plasma membrane (PM), and that both the red light-induced cytoplasmic streaming and the Ca2+ efflux are sensitive to vanadate, an inhibitor of P-type ATPases. In this study, pharmacological experiments suggested the involvement of PM H+-ATPase, one of the P-type ATPases, in the photoinduction of cytoplasmic streaming. We hypothesized that red light would activate PM H+-ATPase to generate a large H+ motive force (PMF) in a photosynthesis-dependent manner. We demonstrated that indeed, photosynthesis increased the PMF and induced phosphorylation of the penultimate residue, threonine, of PM H+-ATPase, which is a major activation mechanism of H+-ATPase. The results suggested that a large PMF generated by PM H+-ATPase energizes the Ca2+ efflux across the PM. As expected, we detected a putative Ca2+/H+ exchange activity in PM vesicles isolated from Vallisneria leaves.
Capacity of Pseudomonas Strains to Degrade Hydrocarbons, Produce Auxins and Maintain Plant Growth under Normal Conditions and in the Presence of Petroleum Contaminants
Authors: Bakaeva Margarita , Kuzina Elena , Vysotskaya Lidiya , Kudoyarova Guzel , Arkhipova Tat’yana , Rafikova Gulnaz , Chetverikov Sergey , Korshunova Tat’yana , Chetverikova Dar’ya , Loginov Oleg
Published: March 2020

The phytoremediation of soil contaminated with petroleum oil products relies on co-operation between plants and rhizosphere bacteria, including the plant growth-promoting effect of the bacteria. We studied the capacity of strains of Pseudomonas, selected as oil degraders, to produce plant hormones and promote plant growth. Strains with intermediate auxin production were the most effective in stimulating the seedling growth of seven plant species under normal conditions. Bacterial seed treatment resulted in about a 1.6-fold increase in the weight of barley seedlings, with the increment being much lower in other plant species. The strains P. plecoglossicida 2.4-D and P. hunanensis IB C7, characterized by highly efficient oil degradation (about 70%) and stable intermediate in vitro auxin production in the presence of oil, were selected for further study with barley. These strains increased the seed germination percentage approximately two-fold under 5% oil concentration in the soil, while a positive effect on further seedling growth was significant when the oil concentration was raised to 8%. This resulted in a 1.3–1.7-fold increase in the seedling mass after 7 days of growth, depending on the bacterial strain. Thus, strains of oil-degrading bacteria selected for their intermediate and stable production of auxin were found to be effective ameliorators of plant growth inhibition resulting from petroleum stress.
Unveiling the Uniqueness of Crystal Structure and Crystalline Phase Behavior of Anhydrous Octyl β-D-Glucoside Using Aligned Assembly on a Surface
Authors: Ogawa Shigesaburo , Takahashi Isao
Published: March 2020

Although the anomalous low crystallinity of octyl β-D-glucoside (β-OGlu) was first proposed more than 30 years ago, many fundamental aspects of its crystal structure and of the crystalline phase behavior of the pure substance have remained uncertain. In this paper, we employ grazing-incidence wide-angle X-ray-diffraction measurements using a two-dimensional detector (2D-GI-WAXD) and perpendicularly aligned crystalline films to demonstrate that β-OGlu forms crystal structures consisting of an intermediate phase—like a ripple phase with two large crystal-lattice constants, a and c, comparable to the lengths of its bilayer structures. Furthermore, solid-to-solid phase transitions accompanied by latent heat confirm the existence of a solid-solution-like phase consisting of a crystalline and a liquid-crystal (LC) phase, which persists over a 20 °C temperature range, in a single-component system. In addition, the system forms a superlattice, accompanied by a change in packing of the component sugars in the partial-melting state; this shift is different from the gel-crystal transition observed for a typical lipid system. These facts indicate that even in the crystalline phase formed from a single component, each individual β-OGlu molecule in a single-component phase plays a versatile role in the crystallisation and melting processes. These findings must somewhat explain the specific co-assembling features with proteins of β-OGlu, which has long been used empirically in biochemistry.
The Visualization of the Secret: Atiśa’s Contribution to the Internalization of Tantric Sexual Practices
Authors: Gray David B.
Published: March 2020

This essay will explore the challenges presented by transgressive rituals, particularly the secret and wisdom-consort consecrations found in the Mahāyoga and Yoginī tantras. In particular, it examines how Atiśa Dīpaṅkara Śrījñāna aided in the dissemination of these traditions to Tibet during the eleventh century, in part through encouraging the enactment of transgressive rituals via internal visualization. I will do so through the exploration of a largely unstudied work by Atiśa, his commentary on a meditation manual (sādhana) attributed to the mahāsiddha Lūipa, “The Realization of the Cakrasaṃvara”, Cakrasaṃvarābhisamaya. Through an examination of this work, I will argue that Atiśa played an important role in facilitating the acceptance of the Yoginītantras in Tibet, during a time when tantric traditions were subject to a considerable amount of scrutiny.
Collision Avoidance of Hexacopter UAV Based on LiDAR Data in Dynamic Environment
Authors: Park Jongho , Cho Namhoon
Published: March 2020

A reactive three-dimensional maneuver strategy for a multirotor Unmanned Aerial Vehicle (UAV) is proposed based on the collision cone approach to avoid potential collision with a single moving obstacle detected by an onboard sensor. A Light Detection And Ranging (LiDAR) system is assumed to be mounted on a hexacopter to obtain the obstacle information from the collected point clouds. The collision cone approach is enhanced to appropriately deal with the moving obstacle with the help of a Kalman filter. The filter estimates the position, velocity, and acceleration of the obstacle by using the LiDAR data as the associated measurement. The obstacle state estimate is utilized to predict the future trajectories of the moving obstacle. The collision detection and obstacle avoidance maneuver decisions are made considering the predicted trajectory of the obstacle. Numerical simulations, including a Monte Carlo campaign, are conducted to verify the performance of the proposed collision avoidance algorithm.
Implementation of a Surface Water Extent Model in Cambodia using Cloud-Based Remote Sensing
Authors: Soulard Christopher E. , Walker Jessica J. , Petrakis Roy E.
Published: March 2020

Mapping surface water over time provides the spatially explicit information essential for hydroclimatic research focused on droughts and flooding. Hazard risk assessments and water management planning also rely on accurate, long-term measurements describing hydrologic fluctuations. Stream gages are a common measurement tool used to better understand flow and inundation dynamics, but gage networks are incomplete or non-existent in many parts of the world. In such instances, satellite imagery may provide the only data available to monitor surface water changes over time. Here, we describe an effort to extend the applicability of the USGS Dynamic Surface Water Extent (DSWE) model to non-US regions. We leverage the multi-decadal archive of the Landsat satellite in the Google Earth Engine (GEE) cloud-based computing platform to produce and analyze 372 monthly composite maps and 31 annual maps (January 1988–December 2018) in Cambodia, a flood-prone country in Southeast Asia that lacks a comprehensive stream gage network. DSWE relies on a series of spectral water indices and elevation data to classify water into four categories of water inundation. We compared model outputs to existing surface water maps and independently assessed DSWE accuracy at discrete dates across the time series. Despite considerable cloud obstruction and missing imagery across the monthly time series, the overall accuracy exceeded 85% for all annual tests. The DSWE model consistently mapped open water with high accuracy, and areas classified as “high confidence” water correlate well to other available maps at the country scale. Results in Cambodia suggest that extending DSWE globally using a cloud computing framework may benefit scientists, managers, and planners in a wide array of applications across the globe.
A Novel Water-Shore-Line Detection Method for USV Autonomous Navigation
Authors: Zou Xiong , Xiao Changshi , Zhan Wenqiang , Zhou Chunhui , Xiu Supu , Yuan Haiwen
Published: March 2020

For the navigation of an unmanned surface vehicle (USV), detection and recognition of the water-shore-line (WSL) is an important part of its intellectualization. Current research on this issue mainly focuses on the straight WSL obtained by straight line fitting. However, the WSL in the image acquired by boat-borne vision is not always in a straight line, especially in an inland river waterway. In this paper, a novel three-step approach for WSL detection is therefore proposed to solve this problem through the information of an image sequence. Firstly, the initial line segment pool is built by the line segment detector (LSD) algorithm. Then, the coarse-to-fine strategy is used to obtain the onshore line segment pool, including the rough selection of water area instability and the fine selection of the epipolar constraint between image frames, both of which are demonstrated in detail in the text. Finally, the complete shore area is generated by an onshore line segment pool of multi-frame images, and the lower boundary of the area is the desired WSL. In order to verify the accuracy and robustness of the proposed method, field experiments were carried out in the inland river scene. Compared with other detection algorithms based on image processing, the results demonstrate that this method is more adaptable, and can detect not only the straight WSL, but also the curved WSL.
Novel Methodology for Football Rebound Test Method
Authors: Colino Enrique , Corral-Gómez Lis , Rodríguez-Rosa David , Juárez-Pérez Sergio , García-Unanue Jorge , González-Rodríguez Antonio , Sánchez-Sánchez Javier , Felipe Jose Luis , Gallardo Leonor , Castillo-García Fernando Jose
Published: March 2020

Assessing and keeping control of the mechanical properties of sport surfaces is a relevant task in sports since it enables athletes to train and compete safely and under equal conditions. Currently, different tests are used for assessing athlete- and ball-surface interactions in artificial turf pitches. In order to make these evaluations more agile and accessible for every facility, it is important to develop new apparatus that enable to perform the tests in an easier and quicker way. The existing equipment for determining the vertical ball behavior requires a complex and non-easily transportable device in which the ball must be fixed to the upper part of the frame in a very precise position by means of a magnet. The rebound height is determined by capturing the acoustic signal produced when the ball bounces on the turf. When extended tests are conducted, the time required to evaluate a single field is too high due to the non-valid trials. This work proposes a novel methodology which allows to notoriously decrease the time of testing fields maintaining the repeatability and accuracy of the test method together with a compact device for improving its mobility and transport. Simulations and experiments demonstrates the repeatability and accuracy of the results obtained by the proposed device, which decreases the non-valid trials and notoriously reduces the time for field evaluation.
Medical-Grade ECG Sensor for Long-Term Monitoring
Authors: Rashkovska Aleksandra , Depolli Matjaž , Tomašić Ivan , Avbelj Viktor , Trobec Roman
Published: March 2020

The recent trend in electrocardiogram (ECG) device development is towards wireless body sensors applied for patient monitoring. The ultimate goal is to develop a multi-functional body sensor that will provide synchronized vital bio-signs of the monitored user. In this paper, we present an ECG sensor for long-term monitoring, which measures the surface potential difference between proximal electrodes near the heart, called differential ECG lead or differential lead, in short. The sensor has been certified as a class IIa medical device and is available on the market under the trademark Savvy ECG. An improvement from the user’s perspective—immediate access to the measured data—is also implemented into the design. With appropriate placement of the device on the chest, a very clear distinction of all electrocardiographic waves can be achieved, allowing for ECG recording of high quality, sufficient for medical analysis. Experimental results that elucidate the measurements from a differential lead regarding sensors’ position, the impact of artifacts, and potential diagnostic value, are shown. We demonstrate the sensors’ potential by presenting results from its various areas of application: medicine, sports, veterinary, and some new fields of investigation, like hearth rate variability biofeedback assessment and biometric authentication.
PDTR: Probabilistic and Deterministic Tree-based Routing for Wireless Sensor Networks
Authors: Ghoul Rafia , He Jing , Djaidja Sana , A. A. Al-qaness Mohammed , Kim Sunghwan
Published: March 2020

This paper proposed a “Probabilistic and Deterministic Tree-based Routing for WSNs (PDTR)”. The PDTR builds a tree from the leaves to the head (sink), according to the best elements in the initial probabilistic routing table, measured by the product of hops-count distribution, and transmission distance distribution, to select the best tree-paths. Each sender node forwards the received data to the next hop via the deterministic built tree. After that, when any node loses of its energy, PDTR updates the tree at that node. This update links probabilistically one of that node’s children to a new parent, according to the updated probabilistic routing table, measured by the product of the updated: Hops-count distribution, transmission distance distribution, and residual energy distribution at the loss of ℓ e energy. By implementing the control parameters in each distribution, PDTR shows the impact of each distribution in the routing path. These control parameters are oriented by the user for different performances. The simulation results prove that selecting the initial best paths to root the packets via unicast, then improving the tree at the node with loss of energy by rooting the packets via anycast, leads to better performance in terms of energy consumption and network lifetime.
Automatic Registration of Footsteps in Contact Regions for Reactive Agility Training in Sports
Authors: Latorre Eduardo C. , Zuniga Marcos D. , Arriaza Enrique , Moya Fabian , Nikulin Christopher
Published: March 2020

In collective sports, reactive agility training methodologies allow to evaluate and improve the player performance, being able to consider a mixture of technical, tactical, physical, and psychological abilities, similarly to real game-play situations. In this article, we present a new methodology for reactive agility training (neural training), the technological setup for the methodology, and a new footstep tracking algorithm, as the key element for automating the speed data gathering process, necessary for obtaining the relevant variables of the neural training approach. This new methodology is oriented to accurately measure two of the most relevant variables for reactive agility training: total response time (sprint time) and response correctness, related to a stimuli sequence presented to a player. The stimuli were designed to properly represent realistic competitive conditions for player training, contextualized to soccer. In order to automate the gathering process, a new computer vision based automatic footstep detection algorithm has been integrated to the system. The algorithm combines Kalman Filters, segmentation techniques, and perspective geometry, for obtaining highly precise detections of the moment a relevant footstep occurs in real-time, reaching a precision higher than 97%. Plus, the algorithm does not require any special marker, invasive sensor, or clothing constraint on the player.
MRLIHT: Mobile RFID-Based Localization for Indoor Human Tracking
Authors: Ma Qian , Li Xia , Li Guanyu , Ning Bo , Bai Mei , Wang Xite
Published: March 2020

Radio Frequency Identification (RFID) technology has been widely used in indoor location tracking, especially serving human beings, due to its advantage of low cost, non-contact communication, resistance to hostile environments and so forth. Over the years, many indoor location tracking methods have been proposed. However, tracking mobile RFID readers in real-time has been a daunting task, especially for achieving high localization accuracy. In this paper, we propose a new Mobile RFID (M-RFID)-based Localization approach for Indoor Human Tracking, named MRLIHT. Based on the M-RFID model where RFID readers are equipped on the moving objects (human beings) and RFID tags are fixed deployed in the monitoring area, MRLIHT implements the real-time indoor location tracking effectively and economically. First, based on the readings of multiple tags detected by an RFID reader simultaneously, MRLIHT generates the response regions of tags to the reader. Next, MRLIHT determines the potential location region of the reader where two algorithms are devised. Finally, MRLIHT estimates the location of the reader by dividing the potential location region of the reader into finer-grained grids. The experimental results demonstrate that the proposed MRLIHT performs well in both accuracy and scalability.
TAI-SARNET: Deep Transferred Atrous-Inception CNN for Small Samples SAR ATR
Authors: Ying Zilu , Xuan Chen , Zhai Yikui , Sun Bing , Li Jingwen , Deng Wenbo , Mai Chaoyun , Wang Faguan , Labati Ruggero Donida , Piuri Vincenzo , Scotti Fabio
Published: March 2020

Since Synthetic Aperture Radar (SAR) targets are full of coherent speckle noise, the traditional deep learning models are difficult to effectively extract key features of the targets and share high computational complexity. To solve the problem, an effective lightweight Convolutional Neural Network (CNN) model incorporating transfer learning is proposed for better handling SAR targets recognition tasks. In this work, firstly we propose the Atrous-Inception module, which combines both atrous convolution and inception module to obtain rich global receptive fields, while strictly controlling the parameter amount and realizing lightweight network architecture. Secondly, the transfer learning strategy is used to effectively transfer the prior knowledge of the optical, non-optical, hybrid optical and non-optical domains to the SAR target recognition tasks, thereby improving the model’s recognition performance on small sample SAR target datasets. Finally, the model constructed in this paper is verified to be 97.97% on ten types of MSTAR datasets under standard operating conditions, reaching a mainstream target recognition rate. Meanwhile, the method presented in this paper shows strong robustness and generalization performance on a small number of randomly sampled SAR target datasets.
P-Glycoprotein/ABCB1 Might Contribute to Morphine/Cisplatin-Induced Hepatotoxicity in Rats
Authors: El-Sheikh Azza A.K.
Published: March 2020

To investigate combined effect of the anticancer drug cisplatin (CP) and the opiate analgesic morphine (MOR) on liver, rats were administered MOR (10 mg/kg/day i.p. for 10 days), with or without CP (7.5 mg/kg i.p. once at day 5 of the study). MOR or CP alone caused deterioration of liver function tests and induced damage to histological architecture of liver. In addition, each drug alone caused hepatic oxidative stress, as evident by significant increase of malondialdehyde and nitric oxide, as well as the significant decrease in GSH, catalase and SOD compared to control. Administration of either MOR or CP also caused liver inflammation, evident by the increase in the pro-inflammatory cytokines; TNF-α and IL-6. In addition, either MOR or CP induced liver apoptosis, as shown by significant increase in expression of the pro-apoptotic marker; caspase 3 compared to control. Either MOR or CP also caused up-regulation of the efflux transporter P-glycoprotein (P-gp). Combining MOR with CP caused deterioration in all parameters tested compared to CP alone. Thus, treatment with MOR worsened CP-induced hepatotoxicity through oxidative stress, inflammation and apoptosis mechanisms. In addition, both drugs contributed to the up-regulation of P-gp, which might be a new mechanism for their hepatotoxic effects.
Validity and Reliability of Self-Perception-Based Submaximal Fitness Tests in Young Adult Females: An Educational Perspective
Authors: Invernizzi Pietro Luigi , Signorini Gabriele , Bosio Andrea , Raiola Gaetano , Scurati Raffaele
Published: March 2020

Background: In physical activity, testing procedures generally require maximal efforts. They are not always administrable or appropriate (e.g., with beginners, elderly, or in school); therefore, alternative submaximal procedures might be more fitting. This study aimed to assess the criterion validity and reliability of submaximal tests based on perceptual variables to be used instead of the corresponding maximal procedures to evaluate muscular endurance, flexibility, and cardiorespiratory fitness. The sustainability of this “educational” rationale to achieve the individual self-government and self-determination of testing and exercising has been further discussed. Methods: A total of 16 female gym practitioners (age 23 ± 3 years) performed five submaximal tests (push-up, S-PU; crunch, S-CR; wall-sit, S-WS; bending forward, S-BF; Step test, S-ST), whose results were compared to those from the corresponding maximal tests (push-up, PU; crunch, CR; wall-sit, WS; sit-and-reach, S&R; Yo-yo, YY). Results: The Interclass Correlation Coefficient (ICC) was higher than 0.8 in all of the submaximal tests. High correlations were found between all submaximal and maximal tests except between YY and S-ST, though their mean heart rates were correlated. Conclusions: Submaximal tests based on an internal load at about 50% of the maximal perceived exertion are equally valid and reliable to the corresponding gold-standard maximal tests, except for the cardiorespiratory evaluation. The educational rationale of this study supports self-acting as a calibration mechanism of physical activity, promoting a proper use of the body but not its overuse.
Correction: Lindner, J.P., et. al. Valuing Biodiversity in Life Cycle Impact Assessment. Sustainability 2019, 11, 5628
Authors: Lindner Jan Paul , Fehrenbach Horst , Winter Lisa , Bloemer Judith , Knuepffer Eva
Published: March 2020

The authors would like to make the following corrections about the published paper [...]
Evidence of Arithmetical Uncertainty in Estimation of Light and Water Use Efficiency
Authors: Kukal Meetpal S. , Irmak Suat
Published: March 2020

It was demonstrated that conventional resource use efficiency (RUE) estimation methodology is largely subject to arithmetic weakness. Extensive field research data on aboveground biomass (AGB), absorbed photosynthetically active radiation (APAR), and crop evapotranspiration (ETc) in maize, soybean, sorghum, and winter wheat confirmed this methodological bias for light use efficiency (LUE) and water use efficiency (WUE) estimation. LUE and WUE were derived using cumulated (data aggregates across samplings) and independent (data increments across samplings) approaches. Use of cumulated data yielded strong-but-false correlation between AGB and APAR or ETc, being a statistical artefact. RUE values from an independent approach were substantially lower than that from a cumulated approach with greater standard errors. Overall, a cumulated approach tends to oversimplify the complex interactions among carbon and resource coupling in agroecosystems, which is accurately represented when employing an independent approach instead.
Sustainable Empowerment Initiatives among Rural Women through Microcredit Borrowings in Bangladesh
Authors: Akhter Jesmin , Cheng Kun
Published: March 2020

Microcredit is an effective instrument that has been recognized to alleviate poverty, especially in developing countries such as Bangladesh. This study seeks to use microcredit as an instrument to bridge the gap between the accessibility of microcredit among poor rural women and sustainable socio-economic development, providing novelty to the concept of “sustainability of empowerment”. In addition, this study employed poor rural women to estimate the empowerment performance of microcredit borrowers compared to non-borrowers in the same socio-economic environment as it relates to microcredit in rural Bangladesh. A regression analysis was used to accomplish these objectives. This study also used propensity score matching techniques to find an easy way to access microcredit. The empirical results not only involve participation in microcredit accessibility but also the particular qualitative attributes of women empowerment. The results also suggest that sustainability is accompanied by affluence among microcredit borrowers, as indicated by women empowerment. The outcome of the empirical analysis shows that there is a significant impact of microcredit on increasing participation in the overall decision-making process, in legal awareness, independent movements, and mobility, as well as enhancing living standards to encourage sustainable women empowerment. This study recommends future investigations for microcredit providers to explore how to build an integrated, holistic approach to women empowerment in Bangladesh.
Managerial Perception and Organizational Identity: A Comparative Analysis
Authors: Erat Serhat , Kitapçı Hakan , Akçin Kültigin
Published: March 2020

In this study, the effect of transformational leadership and procedural justice on manager trust and sustainable organizational identity is analyzed, also including the role of mediation on manager trust. First, we analyzed what the effect of transformational leadership and procedural justice on trust in the organization and sustainable organizational identity is. Secondly, we examined the mediator effect on organizational trust, in addition to the effects of transformational leadership and procedural justice on sustainable organizational identity. The sample of the study consists of 558 subjects from Turkey, 106 subjects from Azerbaijan, and 95 subjects from Kyrgyzstan—a total of 759 subjects. To analyze the collected data, we used correlation analysis, regression analyses, and ANOVA testing. For these analyses, we used the SPSS statistical software. The results indicate that transformational leadership and procedural justice positively and significantly affect manager trust. Moreover, manager trust has a positive and significant impact on creating a sustainable organizational identity. The results of the regression analyses further show that in the relationship between transformational leadership and procedural justice with sustainable organizational identity, there is a full effect of mediation on the perception of manager trust. Moreover, there is an indirect relationship among transformational leadership and procedural justice with creating a sustainable organizational identity, and this relationship is established through the perception of manager trust. The results of the study suggest that an efficient way to increase the trust of managers by employees is to increase procedural justice and to follow a transformational leadership style in the workplace. Moreover, it is expected that corporations following these strategies can sustain their organizational identity.
Identifying the Types and Impact of Service Provider’s Responses to Online Negative Reviews in the Sharing Economy: Evidence from B&Bs in China
Authors: Liu Wenlong , Ji Rongrong , Nian Chen (Peter) , Ryu Kisang
Published: March 2020

Online consumer complaints are closely related to business reputation and elicit managers’ persistent efforts. However, service providers in the sharing economy (SE) lack the skills to communicate with consumers because most are informal or nonprofessional property owners. This research aims to examine the relationship between service providers’ responses and prospective consumers’ perceived helpfulness in the SE by using bed and breakfasts (B&B) as the sample. Response length and voice are adopted to measure the content quality of B&B’s response to an online complaint. Three types of voices (defensive, formalistic, and accommodative) are identified by analyzing service providers’ responses to negative reviews, among which the accommodative voice with empathic statements is the most effective. An inverted-U curve relationship between response length and helpfulness votes is verified based on cognitive load theory. Moreover, interactive effects between response length, review length, and images are also examined. This study suggests the investigation of online reviews from comprehensive perspectives, as well as the adoption of personalized strategies by SE practitioners to respond to consumer complaints.
Improvising Places: The Fluidity of Space in Informal Settlements
Authors: Kamalipour Hesam
Published: March 2020

This paper engages with how the incremental production of space works in informal settlements. As one of the critical challenges of urbanism in the cities of the global South, informal settlements cannot be simply addressed through ruthless practices of demolition and eviction since they can often be incrementally upgraded on the same site. Such practices of upgrading rely on a sophisticated understanding of how urban morphology and adaptation work in informal settlements. In this paper, I focus on the fluidity of space by drawing on a case study of an informal settlement in Pune, India. The key research methods are observation and visual recording. The results of this study provide a better understanding of how informal settlements work in terms of urban morphologies and adaptations. Such an understanding plays a significant role in exploring how the capacities of informality can be developed in consistency with the incremental upgrading of codes regarding public open space, access network, construction, and functional mix. This paper contributes to the ways in which built environment professions can effectively engage with incremental transformations of informal settlements.
Research on Quality Decisions and Coordination with Reference Effect in Dual-Channel Supply Chain
Authors: Xideng Zhou , Bing Xu , Fei Xie , Yu Li
Published: March 2020

Although supply quality management has been studied extensively, one important marketing phenomenon, that is, reference effect has been rarely considered in dual-channel supply chain quality management literatures. In fact, the quality reference effect is also an important factor which influences consumer purchasing behavior. We aim to explore the influence of the reference effect on the optimal decisions and performance of a dual-channel supply. Thus, we formulate dynamic models that include the product quality reference effect and the service quality reference effect in a dual-channel supply chain system consisting of a manufacturer and a retailer under the different decision-making scenarios. Utilizing differential game theory, optimal decisions are obtained for the product quality and service quality decision under the different decision-making scenarios. In addition, the optimal decisions and profits are compared, then a service cost-sharing coordinating mechanism is proposed and proven to be effective in the supply chain system. The main results show when the initial reference service quality is low, the consumer service quality reference effect is beneficial to the manufacturer. The spillover effect of service quality is not conducive to the retailer and the manufacturer. When the initial reference product quality is low, both online and offline product quality reference effects are beneficial to the retailer and the manufacturer. The stable (or final) reference quality will not be affected by the initial reference quality. The sum of the two members’ profits under decentralized decision making is less than the total profit of the supply chain under centralized decision making. We design a cost-sharing coordinating mechanism to eliminate the double marginal effect.
Spatiotemporal Distribution and the Driving Force of the Food-Energy-Water Nexus Index in Zhangye, Northwest China
Authors: Feng Yaya , Zhong Fanglei , Huang Chunlin , Gu Juan , Ge Yingchun , Song Xiaoyu
Published: March 2020

For more efficient development planning, food-energy-water (FEW) nexus indicators should be provided with higher spatial and temporal resolutions. This paper takes Zhangye, a typical oasis city in Northwest China’s arid region, as an example, and uses the unweighted, geometric mean method to calculate a standardized, quantitative, and transparent estimation of the FEW nexus for each county. The role of influencing factors is also analyzed. The results showed that (1) the coordination of the FEW nexus in each county gradually increased from 2005 to 2015. Spatially, the distribution of the FEW nexus showed a tendency to be higher in the southwestern region and lower in the northeastern region. (2) Food security and water security were weaker than energy security. Specifically, there were more limitations to food accessibility, water availability, and water accessibility than for other indexes. (3) The FEW indexes are positively associated with per capita GDP (Gross Domestic Product) and negatively correlated with the average evaporation and altitude of each county (district). Decision makers should concentrate on combining industrial advantages, developing water-efficient ecological agriculture, and improving production quality to increase market competitiveness and should actively explore the international market.
Selecting a Public Service Outsourcer Based on the Improved ELECTRE II Method with Unknown Weight Information under a Double Hierarchy Hesitant Linguistic Environment
Authors: Liu Zhengmin , Zhao Xiaolan , Li Lin , Wang Xinya , Wang Di , Liu Peide
Published: March 2020

In present-day society, government public service outsourcing has become an irreversible trend due to the gradually increasing public pursuit of service quality and efficiency. To better meet the needs of the public and effectively improve the quality of service, it has been a crucial issue for government departments to choose the most desirable one from a series of public service outsourcers (PSOs) with distinct characteristics. In this paper, to deal with such decision problems, we propose the improved elimination and choice translating reality (ELECTRE) II method with unknown weight information under the double hierarchy hesitant fuzzy linguistic (DHHFL) environment to accurately and effectively select the best PSO. Firstly, aiming at the shortcomings of the original comparison method for double hierarchy hesitant fuzzy linguistic elements (DHHFLEs), we define the hesitant deviation degree (HDD) for DHHFLEs and, based on this, further propose a new comparison method for comparing DHHFLEs more reasonably. Secondly, inspired by the classical power average (PA) operator proposed by Yager, a new method is introduced to determine the weights of experts with respect to each attribute, based on the support degree between attributes. Afterwards, an improved ELECTRE II method is proposed to address the problem of PSO selection. A numerical case about e-government outsourcer selection is given to demonstrate the enforceability of the method. Finally, comparisons between previous methods and our method are carried out to illustrate the effectiveness and strengths of the proposed method.
Multi-Objective Optimal Allocation of Wireless Bus Charging Stations Considering Costs and the Environmental Impact
Authors: Nahum Oren E. , Hadas Yuval
Published: March 2020

In recent years, due to environmental concerns, there has been an increasing desire to develop alternative solutions to traditional energy sources. Since transportation is a significant fossil-fuel consumer, the development of electric vehicles, especially buses, has the potential to reduce fossil-fuel use and thus provide a better living environment. The aim of the current work was to develop an optimal allocation model for designing a system-wide network of wireless bus charging stations. The main advantages of wireless charging are the need for a much smaller battery and the fact that the charging process may occur under both static and dynamic (in-motion) conditions. The suggested approach consisted of a multi-objective model that selected the locations for the charging stations while (a) minimizing the costs, (b) maximizing the environmental benefit, and (c) minimizing the number of charging stations. The problem was formulated as a multi-objective non-linear optimization model with both deterministic and stochastic variations. An efficient genetic algorithm was introduced to solve the problem. A test case was used to demonstrate the model; accordingly, the decision-maker was provided with a solution set from which the best fit solution could be selected.
The Effectiveness of Urban Cycle Lanes: From Dyscrasias to Potential Solutions
Authors: Fistola Romano , Gallo Mariano , La Rocca Rosa Anna , Russo Francesca
Published: March 2020

This paper studies the effectiveness of urban cycle lanes, with cycling being one of the most common practices for promoting sustainable mobility in urban areas. Despite a growing interest, the use of cycling in Italian cities has not gained a large consensus yet. Nevertheless, the presence and the extension of cycle lanes are considered as quantitative indicators for measuring the livability of cities. Actually, the lack in assessing the global quality of cycle networks asks for a major attention in the definition of these indicators. Starting from these considerations, the present study tries to propose a different approach to assess the real effectiveness of an urban cycle network. By defining some typological clusters of anomalies (dyscrasias) that can impede a safe and comfortable use of bicycles, the study achieves the definition of a method to evaluate the real effectiveness of an urban cycle lane. The case study of Naples represents a first trial both to check the method and to assess the state of the existing urban lane in order to verify its effectiveness.