bluuebunny/crossref_metadata_2025 huggingface dataset:
Self-Reported Improvement for Chronic Rhinosinusitis Major Symptoms in Patients Treated with Omalizumab
Authors: Kilty Shaun J. , Best Corliss , Santucci Stephanie , Lasso Andrea , Yang William
Published: July 2020

Objective: To evaluate the clinical effect of omalizumab therapy on the symptoms of patients with chronic rhinosinusitis (CRS). Methods: This cross-sectional study evaluated CRS major symptom improvement in patients with CRS on omalizumab therapy and patients who met omalizumab therapy indications, but could not access coverage for omalizumab. Changes in overall chronic rhinosinusitis symptom burden and each of the major symptoms of CRS were rated on a 10 cm visual analogue scale (VAS). The Mann–Whitney test was used to compare the symptom improvement between groups. Results: Omalizumab therapy provided a mean overall symptom improvement of 69.5% (individual symptom improvement: facial pain 78.5%, nasal obstruction 69.8%, rhinorrhea 56.2%, and olfaction 55.8%). For the control group, mean overall symptom improvement since omalizumab screening was 16.8% (individual symptom improvement: rhinorrhea 16.4%, nasal obstruction 15.3%, no improvement in facial pain or olfaction). Overall, and for each major symptom, improvement was significantly greater for omalizumab treated patients (p < 0.05). Conclusion: Omalizumab treatment provided significant improvement in every major clinical symptom of CRS in the treated cohort of patients with recalcitrant CRS, in comparison to the control cohort. A well-designed randomized clinical trial is needed to further assess the efficacy and safety of omalizumab treatment for CRS.
On the Dual and Inverse Problems of Scheduling Jobs to Minimize the Maximum Penalty
Authors: Lazarev Alexander A. , Pravdivets Nikolay , Werner Frank
Published: July 2020

In this paper, we consider the single-machine scheduling problem with given release dates and the objective to minimize the maximum penalty which is NP-hard in the strong sense. For this problem, we introduce a dual and an inverse problem and show that both these problems can be solved in polynomial time. Since the dual problem gives a lower bound on the optimal objective function value of the original problem, we use the optimal function value of a sub-problem of the dual problem in a branch and bound algorithm for the original single-machine scheduling problem. We present some initial computational results for instances with up to 20 jobs.
Analysis of Perturbed Volterra Integral Equations on Time Scales
Authors: Messina Eleonora , Raffoul Youssef N. , Vecchio Antonia
Published: July 2020

This paper describes the effect of perturbation of the kernel on the solutions of linear Volterra integral equations on time scales and proposes a new perspective for the stability analysis of numerical methods.
Composted Sewage Sludge Influences the Microbiome and Persistence of Human Pathogens in Soil
Authors: Major Nikola , Schierstaedt Jasper , Jechalke Sven , Nesme Joseph , Ban Smiljana Goreta , Černe Marko , Sørensen Søren J. , Ban Dean , Schikora Adam
Published: July 2020

Composted sewage sludge (CSS) gained attention as a potential fertilizer in agriculture. Application of CSS increases soil microbial activity and microbial biomass, however, it can also lead to increased chemical and microbiological risks. In this study, we performed microcosm experiments to assess how CSS reshapes the microbial community of diluvial sand (DS) soil. Further, we assessed the potential of CSS to increase the persistence of human pathogens in DS soil and the colonization of Chinese cabbage (Brassica rapa L. subsp. pekinensis (Lour.) Hanelt). The results revealed that CSS substantially altered the prokaryotic community composition. Moreover, addition of CSS increased the persistence of Salmonella enterica serovar Typhimurium strain 14028s and S. enterica serovar Senftenberg in DS soil. However, the enhanced persistence in soil had no impact on the colonization rate of B. rapa grown on soil inoculated with Salmonella. We detected Salmonella in leaves of 1.9% to 3.6% of plants. Addition of CSS had no impact on the plant colonization rate. The use of sewage sludge composts is an interesting option. However, safety measures should be applied in order to avoid contamination of crop plants by human pathogens.
Immunogenicity of Non-Living Anthrax Vaccine Candidates in Cattle and Protective Efficacy of Immune Sera in A/J Mouse Model Compared to the Sterne Live Spore Vaccine
Authors: Jauro Solomon , C. Ndumnego Okechukwu , Ellis Charlotte , Buys Angela , Beyer Wolfgang , van Heerden Henriette
Published: July 2020

The Sterne live spore vaccine (SLSV, Bacillus anthracis strain 34F2) is the veterinary vaccine of choice against anthrax though contra-indicated for use with antimicrobials. However, the use of non-living anthrax vaccine (NLAV) candidates can overcome the SLSV limitation. In this study, cattle were vaccinated with either of the NLAV (purified recombinant PA (PrPA) or crude rPA (CrPA) and formaldehyde-inactivated spores (FIS of B. anthracis strain 34F2) and emulsigen-D®/alhydrogel® adjuvants) or SLSV. The immunogenicity of the NLAV and SLSV was assessed and the protective efficacies evaluated using a passive immunization mouse model. Polyclonal IgG (including the IgG1 subset) and IgM responses increased significantly across all vaccination groups after the first vaccination. Individual IgG subsets titres peaked significantly with all vaccines used after the second vaccination at week 5 and remained significant at week 12 when compared to week 0. The toxin neutralization (TNA) titres of the NLAV vaccinated cattle groups showed similar trends to those observed with the ELISA titres, except that the former were lower, but still significant, when compared to week 0. The opsonophagocytic assay indicated good antibody opsonizing responses with 75% (PrPA+FIS), 66% (CrPA+FIS) and 80% (SLSV) phagocytosis following spores opsonization. In the passive protection test, A/J mice transfused with purified IgG from cattle vaccinated with PrPA+FIS+Emulsigen-D®/Alhydrogel® and SLSV had 73% and 75% protection from challenge with B. anthracis strain 34F2 spores, respectively, whereas IgG from cattle vaccinated with CrPA+FIS+Emulsigen-D®/Alhydrogel® offered insignificant protection of 20%. There was no difference in protective immune response in cattle vaccinated twice with either the PrPA+FIS or SLSV. Moreover, PrPA+FIS did not show any residual side effects in vaccinated cattle. These results suggest that the immunogenicity and protective efficacy induced by the NLAV (PrPA+FIS) in the cattle and passive mouse protection test, respectively, are comparable to that induced by the standard SLSV.
Synthesis and Evaluation of Novel Ellipticines and Derivatives as Inhibitors of Phytophthora infestans
Authors: McKee Mary L. , Zheng Limian , O’Sullivan Elaine C. , Kehoe Roberta A. , Doyle Prestwich Barbara M. , Mackrill John J. , McCarthy Florence O.
Published: July 2020

The pathogen Phytophthora infestans is responsible for worldwide catastrophic crop damage and discovery of new inhibitors of this organism is of paramount agricultural and industrial importance. Current strategies for crop treatment are inadequate with limitations of efficacy and market alternatives. Ellipticines have recently been reported to have fungicidal properties and have been assessed against P. infestans growth with promising results. We hereby report a probe of the ellipticine framework to investigate the alkyl subunit and screen a set ellipticines and derivatives to identify new lead compounds to act against P. infestans. A series of ellipticinium salt derivatives have been identified with exceptional growth inhibitory activity and apparent lack of toxicity towards a human cell-line surpassing the effect of known and marketed fungicides. This report identifies the potential of this natural product derivative as a novel fungicide.
Alignment of CanMEDS-Based Undergraduate and Postgraduate Pharmacy Curricula in The Netherlands
Authors: Koster Andries S. , Mantel-Teeuwisse Aukje K. , Woerdenbag Herman J. , Mulder Wilhelmina M. C. , Wilffert Bob , Schalekamp Tom , Buurma Henk , Wilting Ingeborg , Westein Marnix P. D.
Published: July 2020

In this article the design of three master programs (MSc in Pharmacy) and two postgraduate specialization programs for community or hospital pharmacist is described. After a preceding BSc in Pharmacy, these programs cover the full pharmacy education capacity for pharmacists in primary and secondary health care in the Netherlands. All programs use the CanMEDS framework, adapted to pharmacy education and specialization, which facilitates the horizontal integration of pharmacists’ professional development with other health care professions in the country. Moreover, it is illustrated that crossing the boundary from formal (university) education to experiential (workplace) education is eased by a gradual change in time spent in these two educational environments and by the use of comparable monitoring, feedback, and authentic assessment instruments. A reflection on the curricula, based on the principles of the Integrative Pedagogy Model and the Self-determination Theory, suggests that the alignment of these educational programs facilitates the development of professional expertise and professional identity of Dutch pharmacists.
Comparative Chromosomal Localization of 45S and 5S rDNA Sites in 76 Purple-Fleshed Sweet Potato Cultivars
Authors: Su Dan , Chen Lei , Sun Jianying , Zhang Luyue , Gao Runfei , Li Qiang , Han Yonghua , Li Zongyun
Published: July 2020

In recent years, the purple-fleshed sweet potato has attracted more attention because of its high nutritional value. The cytogenetics of this crop is relatively unexplored, limiting our knowledge on its genetic diversity. Therefore, we conducted cytogenetic analysis of 76 purple-fleshed sweet potato cultivars to analyze the chromosome structure and distribution of 45S and 5S rDNA. We noted that only 62 cultivars had 90 chromosomes, and the others were aneuploid with 88, 89, 91, or 92 chromosomes. The number of 45S rDNA in the 76 cultivars varied from 16 to 21; these sites showed different signal sizes and intensities and were localized at the chromosomal termini or satellite. The number of 5S rDNA was relatively stable; 74 cultivars showed six sites located at the chromosomal sub-terminal or near the centromere. Only the ‘Quanzishu 96’ and ‘Yuzixiang 10’ showed seven and five 5S rDNA sites, respectively. Additionally, both parent cultivars of ‘Quanzishu 96’ showed 18 45S and six 5S rDNA sites. Overall, our results indicate a moderate diversity in the distribution pattern of rDNAs. Our findings provide comprehensive cytogenetic information for the identification of sweet potato chromosomes, which can be useful for developing a high-quality germplasm resource.
Lake Drainage in Permafrost Regions Produces Variable Plant Communities of High Biomass and Productivity
Authors: Loiko Sergey , Klimova Nina , Kuzmina Darya , Pokrovsky Oleg
Published: July 2020

Climate warming, increased precipitation, and permafrost thaw in the Arctic are accompanied by an increase in the frequency of full or partial drainage of thermokarst lakes. After lake drainage, highly productive plant communities on nutrient-rich sediments may develop, thus increasing the influencing greening trends of Arctic tundra. However, the magnitude and extent of this process remain poorly understood. Here we characterized plant succession and productivity along a chronosequence of eight drained thermokarst lakes (khasyreys), located in the low-Arctic tundra of the Western Siberian Lowland (WSL), the largest permafrost peatland in the world. Based on a combination of satellite imagery, archive mapping, and radiocarbon dating, we distinguished early (<50 years), mid (50–200 years), and late (200–2000 years) ecosystem stages depending on the age of drainage. In 48 sites within the different aged khasyreys, we measured plant phytomass and productivity, satellite-derived NDVImax, species composition, soil chemistry including nutrients, and plant elementary composition. The annual aboveground net primary productivity of the early and mid khasyrey ranged from 1134 and 660 g·m−2·y−1, which is two to nine times higher than that of the surrounding tundra. Late stages exhibited three to five times lower plant productivity and these ecosystems were distinctly different from early and mid-stages in terms of peat thickness and pools of soil nitrogen and potassium. We conclude that the main driving factor of the vegetation succession in the khasyreys is the accumulation of peat and the permafrost aggradation. The soil nutrient depletion occurs simultaneously with a decrease in the thickness of the active layer and an increase in the thickness of the peat. The early and mid khasyreys may provide a substantial contribution to the observed greening of the WSL low-Arctic tundra.
Biodiversity of β-Carboline Profile of Banisteriopsis caapi and Ayahuasca, a Plant and a Brew with Neuropharmacological Potential
Authors: Santos Beatriz Werneck Lopes , Oliveira Regina Célia de , Sonsin-Oliveira Julia , Fagg Christopher William , Barbosa José Beethoven Figueiredo , Caldas Eloisa Dutra
Published: July 2020

Ayahuasca is a psychoactive infusion with a large pharmacological application normally prepared with Banisteriopsis caapi, which contains the monoamine oxidase inhibitors β-carbolines, and Psichotria virids, which contains the serotonin receptor agonist N,N dimethyltryptamine (DMT). The objectives of this study were to investigate the chemical profile of B. caapi and of ayahuasca collected in various Brazilian regions. In total, 176 plant lianas, of which 159 B. caapi and 33 ayahuasca samples were analyzed. Dried liana samples were powdered, extracted with methanol, diluted, and analyzed by LC-MS/MS. Ayahuasca samples were diluted and analyzed. Mean concentrations in B. caapi were 4.79 mg/g harmine, 0.451 mg/g harmaline, and 2.18 mg/g tetrahydroharmine (THH), with a high variability among the samples (RSD from 78.9 to 170%). Native B. caapi samples showed significantly higher harmine concentrations than cultivated ones, and samples from the Federal District/Goiás had higher THH content than those collected in the State of Acre. The other Malpighiaceae samples did not contain β-carbolines, except for one D. pubipetala sample. Concentrations in ayahuasca samples ranged from 0.109 to 7.11 mg/mL harmine, 0.012 to 0.945 mg/mL harmaline, 0.09 to 3.05 mg/mL THH, and 0.10 to 3.12 mg/mL DMT. The analysis of paired ayahuasca/B. caapi confirmed that harmine is reduced to harmaline and to THH during the brew preparation. This is the largest study conducted with Malpighiaceae samples and showed a large variability in the main β-carbolines present in B. caapi. This biodiversity is a challenge for standardization of the material used in ethnopharmacological studies of B. caapi and ayahuasca.
Seed Total Protein Profiling in Discrimination of Closely Related Pines: Evidence from the Pinus mugo Complex
Authors: Celiński Konrad , Sokołowska Joanna , Zemleduch-Barylska Agata , Kuna Roman , Kijak Hanna , Staszak Aleksandra Maria , Wojnicka-Półtorak Aleksandra , Chudzińska Ewa
Published: July 2020

The Pinus mugo complex includes several dozen closely related European mountain pines. The discrimination of specific taxa within this complex is still extremely challenging, although numerous methodologies have been used to solve this problem, including morphological and anatomical analyses, cytological studies, allozyme variability, and DNA barcoding, etc. In this study, we used the seed total protein (STP) patterns to search for taxonomically interesting differences among three closely-related pine taxa from the Pinus mugo complex and five more distant species from the Pinaceae family. It was postulated that STP profiling can serve as the backup methodology for modern taxonomic research, in which more sophisticated analyses, i.e., based on the DNA barcoding approach, have been found to be useless. A quantitative analysis of the STP profiles revealed characteristic electrophoretic patterns for all the analyzed taxa from Pinaceae. STP profiling enabled the discrimination of closely-related pine taxa, even of those previously indistinguishable by chloroplast DNA barcodes. The results obtained in this study indicate that STP profiling can be very useful for solving complex taxonomic puzzles.
Characterisation of Lactoferrin Isolated from Acid Whey Using Pilot-Scale Monolithic Ion-Exchange Chromatography
Authors: Matijašić Bojana Bogovič , Oberčkal Jernej , Mohar Lorbeg Petra , Paveljšek Diana , Skale Nina , Kolenc Borut , Gruden Špela , Poklar Ulrih Nataša , Kete Marko , Zupančič Justin Maja
Published: July 2020

The aim of this study was to characterize the properties of lactoferrin (LF) obtained in a process developed for its isolation from acid whey derived from the production of fresh curd cheese, using a unique technology of ion-exchange chromatography on CIM® monolithic columns. The freeze-dried lactoferrin samples produced on the pilot plant (capacity 1 m3) were examined for the purity, iron-binding capacity, antibacterial activity, and pH- and temperature-stability. Apo-LF inhibited several tested strains (enterobacteria, Staphylococcus, Streptococcus salivarius) except clostridia, lactic acid bacteria, and bifidobacteria. Sample of LF intentionally saturated with Fe3+ lost its antibacterial activity, indicating the involvement of mechanisms based on depriving bacteria of an iron source. All samples, regardless of the iron-saturation level, exhibited stability in pH range 4.0 to 11.0. LF with higher iron content (A-value = 41.9%) showed better thermal stability. Heat treatment up to 72 °C/3 s did not reduce antimicrobial activity against E. coli O157: H7 tox-. Higher purity (above 91%), higher iron-binding capacity and higher inhibitory activity against E. coli O157: H7 tox- compared to some similar products from the market was observed. These results demonstrate a high potential of monolithic ion-exchange chromatography for industrial processing of acid whey as a source of LF that can be used in new products with high-added value. The upscaling of the process is ongoing on a demonstration plant (10–30 m3/day capacity).
Hydrodynamics of Pulsed Fluidized Bed of Ultrafine Powder: Fully Collapsing Fluidized Bed
Authors: Asif Mohammad , Al-Ghurabi Ebrahim H. , Ajbar Abdelhamid , Kumar Nadavala Siva
Published: July 2020

The processing of fine and ultrafine particles using a fluidized bed is challenging in view of their unpredictable hydrodynamic behavior due to interparticle forces. The use of assisted fluidization techniques in such cases can be effective in improving the bed hydrodynamics. This work investigates the dynamics of pulsed fluidized bed of ultrafine nanosilica subjected to square-wave flow pulsations. The pulse duration used in this study is sufficient to allow the complete collapse of the pulsed fluidized bed between two consecutive flow pulsations. The proposed pulsation strategy is carefully implemented using electronic mass flow controllers with the help of analog output signals from data acquisition system. Given that the different regions of the fluidized bed exhibit varying dynamics, which together contribute to overall bed dynamics, the bed transients in the upper, central, and lower regions of the fluidized bed are monitored using several sensitive pressure transducers located along the height of the bed. The effect of the flow pulsation on the hydrodynamics of the fluidized bed is rigorously characterized. A significant reduction in the minimum fluidization velocity was obtained and an increase in the bed homogeneity was observed due to flow pulsations. The frequency domain analysis of the signals clearly delineated the frequency of the various events occurring during the fluidization.
Prediction of Particle-Collection Efficiency for Vacuum-Blowing Cleaning System Based on Operational Conditions
Authors: Xi Yuan , Dai Yan , Zhang Xi–long , Zhang Xing
Published: July 2020

The dust-collection system, as the core of a sweeper vehicle, directly inhales dust particles on the pavement. The influence of variable operational conditions on particle-separation performance was investigated using computational fluid dynamics (CFD) Euler–Lagrange multiphase model. The particle-separation performance efficiency and retention time were used to evaluate the dust-collection efficiency. The uniform design (UD) and multiple regression analysis (MRA) methods were employed to predict and optimize the effects of reverse-blowing flow rate, pressure drop, and traveling speed on separation efficiency. The results indicated that the dust-collection performance initially increased and then decreased with increasing reverse-blowing flow rate. As the pressure drop increased, there was an increase in total dust-collection efficiency. However, the efficiency decreased with increasing traveling speed. The regression model showed that the proposed approach was able to predict the particle collection efficiency accurately. In addition, the optimum operational conditions were obtained, namely a reverse-blowing flow rate of 2100 m3/h, a traveling speed of 5 km/h, and a pressure drop of 2400 Pa. The maximum particle-separation efficiency was 99.10%, which showed good agreement with the experimental results.
Convergent and Ecological Validity of Mother and Child Reports of Children’s Depressive Symptoms: Evidence from a Diverse Sample of Mother–Child Dyads
Authors: Mason Tyler , Margolin Gayla , Dunton Genevieve
Published: July 2020

This study investigated the convergent and ecological validity of a multi-informant approach through retrospective measures and ecological momentary assessment (EMA) from mother–child dyads. In 202 mother–child dyads, mothers completed parent-proxy retrospective measures of their child’s depressive symptoms and their own depressive symptoms. Children completed self-report retrospective measures of their own depressive symptoms, self-esteem, and sleep quality; and self-report EMA of affect across 8 days. Results showed that parent-proxy and child self-report retrospective measures of depressive symptoms were weakly positively correlated (r = 0.23); this association was stronger for non-Hispanic mothers compared to Hispanic mothers (p = 0.048). Parent-proxy retrospective measures were moderately positively associated with the mothers’ own retrospectively reported level of depressive symptoms (r = 0.33). Parent-proxy and child self-report retrospective measures were negatively associated with the children’s average EMA happiness (p = 0.001 and p = 0.003, respectively), but only the children’s retrospective measures were positively associated with EMA sadness (p = 0.001). In multivariable models, the children’s retrospectively reported depressive symptoms were significantly associated with lower self-esteem and reduced sleep quality, while parent-proxy retrospective reports were only associated with the mother’s own depressive symptoms. Overall, the current study provides evidence for the convergent and ecological validity of children’s self-reports of depressive symptoms. However, there was limited validity for parent-proxy reports, and parent-proxy reports may be highly influenced by the mothers’ depression.
Graph Approach to Quantum Teleportation Dynamics
Authors: Honrubia Efrén , Sanz Ángel S.
Published: July 2020

Quantum teleportation plays a key role in modern quantum technologies. Thus, it is of much interest to generate alternative approaches or representations that are aimed at allowing us a better understanding of the physics involved in the process from different perspectives. With this purpose, here an approach based on graph theory is introduced and discussed in the context of some applications. Its main goal is to provide a fully symbolic framework for quantum teleportation from a dynamical viewpoint, which makes explicit at each stage of the process how entanglement and information swap among the qubits involved in it. In order to construct this dynamical perspective, it has been necessary to define some auxiliary elements, namely virtual nodes and edges, as well as an additional notation for nodes describing potential states (against nodes accounting for actual states). With these elements, not only the flow of the process can be followed step by step, but they also allow us to establish a direct correspondence between this graph-based approach and the usual state vector description. To show the suitability and versatility of this graph-based approach, several particular teleportation examples are examined in detail, which include bipartite, tripartite, and tetrapartite maximally entangled states as quantum channels. From the analysis of these cases, a general protocol is devised to describe the sharing of quantum information in presence of maximally entangled multi-qubit system.
Multi-Image Super Resolution of Remotely Sensed Images Using Residual Attention Deep Neural Networks
Authors: Salvetti Francesco , Mazzia Vittorio , Khaliq Aleem , Chiaberge Marcello
Published: July 2020

Convolutional Neural Networks (CNNs) consistently proved state-of-the-art results in image Super-resolution (SR), representing an exceptional opportunity for the remote sensing field to extract further information and knowledge from captured data. However, most of the works published in the literature focused on the Single-image Super-resolution problem so far. At present, satellite-based remote sensing platforms offer huge data availability with high temporal resolution and low spatial resolution. In this context, the presented research proposes a novel residual attention model (RAMS) that efficiently tackles the Multi-image Super-resolution task, simultaneously exploiting spatial and temporal correlations to combine multiple images. We introduce the mechanism of visual feature attention with 3D convolutions in order to obtain an aware data fusion and information extraction of the multiple low-resolution images, transcending limitations of the local region of convolutional operations. Moreover, having multiple inputs with the same scene, our representation learning network makes extensive use of nestled residual connections to let flow redundant low-frequency signals and focus the computation on more important high-frequency components. Extensive experimentation and evaluations against other available solutions, either for Single or Multi-image Super-resolution, demonstrated that the proposed deep learning-based solution can be considered state-of-the-art for Multi-image Super-resolution for remote sensing applications.
A Multiscale Self-Adaptive Attention Network for Remote Sensing Scene Classification
Authors: Li Lingling , Liang Pujiang , Ma Jingjing , Jiao Licheng , Guo Xiaohui , Liu Fang , Sun Chen
Published: July 2020

High-resolution optical remote sensing image classification is an important research direction in the field of computer vision. It is difficult to extract the rich semantic information from remote sensing images with many objects. In this paper, a multiscale self-adaptive attention network (MSAA-Net) is proposed for the optical remote sensing image classification, which includes multiscale feature extraction, adaptive information fusion, and classification. In the first part, two parallel convolution blocks with different receptive fields are adopted to capture multiscale features. Then, the squeeze process is used to obtain global information and the excitation process is used to learn the weights in different channels, which can adaptively select useful information from multiscale features. Furthermore, the high-level features are classified by many residual blocks with an attention mechanism and a fully connected layer. Experiments were conducted using the UC Merced, NWPU, and the Google SIRI-WHU datasets. Compared to the state-of-the-art methods, the MSAA-Net has great effect and robustness, with average accuracies of 94.52%, 95.01%, and 95.21% on the three widely used remote sensing datasets.
TROPOMI NO2 Tropospheric Column Data: Regridding to 1 km Grid-Resolution and Assessment of their Consistency with In Situ Surface Observations
Authors: Cersosimo Angela , Serio Carmine , Masiello Guido
Published: July 2020

This work presents a regridding procedure applied to the nitrogen dioxide (NO2) tropospheric column data, derived from the Copernicus Sentinel 5 Precursor Tropospheric Monitoring Instrument (S5P/TROPOMI). The regridding has been performed to provide a better comparison with punctual surface observations. It will be demonstrated that TROPOMI NO2 tropospheric column data show improved consistency with in situ surface measurements once the satellite retrievals are scaled to 1 km spatial sampling. A geostatistical technique, i.e., the ordinary kriging, has been applied to improve the spatial distribution of Level 2 TROPOMI NO2 data, which is originally sparse and uneven because of gaps introduced by clouds, to a final spatial, regular, sampling of 1 km × 1 km. The analysis has been performed for two study areas, one in the North and the other in the South of Italy, and for May 2018-April 2020, which also covers the period January 2020-April 2020 of COVID-19 diffusion over the Po Valley. The higher spatial sampling NO2 dataset indicated as Level 3 data, allowed us to explore spatial and seasonal data variability, obtaining better information on NO2 sources. In this respect, it will be shown that NO2 concentrations in March 2020 have likely decreased as a consequence of the lockdown because of COVID-19, although the far warmest winter season ever recorded over Europe in 2020 has favored a general NO2 decrease in comparison to the 2019 winter. Moreover, the comparison between NO2 concentrations related to weekdays and weekend days allowed us to show the strong correlation of NO2 emissions with traffic and industrial activities. To assess the quality and capability of TROPOMI NO2 observations, we have studied their relationship and correlation with in situ NO2 concentrations measured at air quality monitoring stations. We have found that the correlation increases when we pass from Level 2 to Level 3 data, showing the importance of regridding the satellite data. In particular, correlation coefficients of Level 3 data, which range between 0.50–0.90 have been found with higher correlation applying to urban, polluted locations and/or cities.
UV Irradiation-Induced SERS Enhancement in Randomly Distributed Au Nanostructures
Authors: Lee Dong-Jin , Kim Dae Yu
Published: July 2020

Currently used platforms for surface-enhanced Raman scattering (SERS) sensors generally employ metallic nanostructures for enrichment of the plasmonic hotspots in order to provide higher Raman signals, but this procedure is still considered challenging for analyte–surface affinity. This study reports a UV irradiation-induced SERS enhancement that amplifies the interactions between the analytes and metallic surfaces. The UV light can play critical roles in the surface cleaning to improve the SERS signal by removing the impurities from the surfaces and the formation of the negatively charged adsorbed oxygen species on the Au surfaces to enhance the analyte–surface affinity. To evaluate this scenario, we prepared randomly distributed Au nanostructures via thermal annealing with a sputtered Au thin film. The UV light of central wavelength 254 nm was then irradiated on the Au nanostructures for 60 min. The SERS efficiency of the Au nanostructures was subsequently evaluated using rhodamine 6G molecules as the representative Raman probe material. The Raman signal of the Au nanostructures after UV treatment was enhanced by up to approximately 68.7% compared to that of those that did not receive the UV treatment. We expect that the proposed method has the potential to be applied to SERS enhancement with various plasmonic platforms.
Automated Measurement of Heart Girth for Pigs Using Two Kinect Depth Sensors
Authors: Zhang Xinyue , Liu Gang , Jing Ling , Chen Siyao
Published: July 2020

The heart girth parameter is an important indicator reflecting the growth and development of pigs that provides critical guidance for the optimization of healthy pig breeding. To overcome the heavy workloads and poor adaptability of traditional measurement methods currently used in pig breeding, this paper proposes an automated pig heart girth measurement method using two Kinect depth sensors. First, a two-view pig depth image acquisition platform is established for data collection; the two-view point clouds after preprocessing are registered and fused by feature-based improved 4-Point Congruent Set (4PCS) method. Second, the fused point cloud is pose-normalized, and the axillary contour is used to automatically extract the heart girth measurement point. Finally, this point is taken as the starting point to intercept the circumferential perpendicular to the ground from the pig point cloud, and the complete heart girth point cloud is obtained by mirror symmetry. The heart girth is measured along this point cloud using the shortest path method. Using the proposed method, experiments were conducted on two-view data from 26 live pigs. The results showed that the heart girth measurement absolute errors were all less than 4.19 cm, and the average relative error was 2.14%, which indicating a high accuracy and efficiency of this method.
Relationship between the Presence of the ApoE ε4 Allele and EEG Complexity along the Alzheimer’s Disease Continuum
Authors: Gutiérrez-de Pablo Víctor , Gómez Carlos , Poza Jesús , Maturana-Candelas Aarón , Martins Sandra , Gomes Iva , Lopes Alexandra M. , Pinto Nádia , Hornero Roberto
Published: July 2020

Alzheimer’s disease (AD) is the most prevalent cause of dementia, being considered a major health problem, especially in developed countries. Late-onset AD is the most common form of the disease, with symptoms appearing after 65 years old. Genetic determinants of AD risk are vastly unknown, though, ε 4 allele of the ApoE gene has been reported as the strongest genetic risk factor for AD. The objective of this study was to analyze the relationship between brain complexity and the presence of ApoE ε 4 alleles along the AD continuum. For this purpose, resting-state electroencephalography (EEG) activity was analyzed by computing Lempel-Ziv complexity (LZC) from 46 healthy control subjects, 49 mild cognitive impairment subjects, 45 mild AD patients, 44 moderate AD patients and 33 severe AD patients, subdivided by ApoE status. Subjects with one or more ApoE ε 4 alleles were included in the carriers subgroups, whereas the ApoE ε 4 non-carriers subgroups were formed by subjects without any ε 4 allele. Our results showed that AD continuum is characterized by a progressive complexity loss. No differences were observed between AD ApoE ε 4 carriers and non-carriers. However, brain activity from healthy subjects with ApoE ε 4 allele (carriers subgroup) is more complex than from non-carriers, mainly in left temporal, frontal and posterior regions (p-values < 0.05, FDR-corrected Mann–Whitney U-test). These results suggest that the presence of ApoE ε 4 allele could modify the EEG complexity patterns in different brain regions, as the temporal lobes. These alterations might be related to anatomical changes associated to neurodegeneration, increasing the risk of suffering dementia due to AD before its clinical onset. This interesting finding might help to advance in the development of new tools for early AD diagnosis.
Wavefront Aberration Sensor Based on a Multichannel Diffractive Optical Element
Authors: Khonina Svetlana N. , Karpeev Sergey V. , Porfirev Alexey P.
Published: July 2020

We propose a new type of a wavefront aberration sensor, that is, a Zernike matched multichannel diffractive optical filter, which performs consistent filtering of phase distributions corresponding to Zernike polynomials. The sensitivity of the new sensor is theoretically estimated. Based on the theory, we develop recommendations for its application. Test wavefronts formed using a spatial light modulator are experimentally investigated. The applicability of the new sensor for the fine-tuning of a laser collimator is assessed.
Application of an Automated Digital Image-Processing Method for Quantitative Assessment of Cracking Patterns in a Lime Cement Matrix
Authors: Szeląg Maciej
Published: July 2020

The paper presents an original approach to the localization and analysis of the cracking patterns of cement composites. The lime cement matrix modified with microsilica was evaluated under a two-phase thermal load. For quantitative detection and analysis of thermal cracks, an image-processing method was applied. For this purpose, an original image double-segmentation method was developed using machine-learning algorithms. Among other things, the fractal analysis was used to describe the morphology and the thermal evolution of the cracking patterns. The basic mechanical characteristics were examined and the results indicated a very high correlation between tensile strength and all cracking patterns’ parameters. This allows high-quality estimation of the mechanical properties of the lime cement matrix to be carried out on the basis of measurement and evaluation of morphology of the thermal cracking patterns. Knowledge in this field contributes to the development of non-destructive testing methods in cement composites technology, in terms of localization of and tracking the cracking patterns.
A Patulous Progress: International Entrepreneurship Effects on Chinese Born-Global Firm Performance
Authors: Yu Ying , Hu Xiaoling , Wang Yong , Ward Philippa
Published: July 2020

Using data from SMEs in Hubei province, the role of entrepreneurship in the sustainable performance of born global firms in China was discussed. The structural equation modeling analysis of 345 questionnaires indicates that both international knowledge and international entrepreneurial capability are significantly related to born global firms’ performance. Dynamic capabilities, which includes three sub-dimensions: adaptation capability, absorption capability and innovation capability, was found to be less important to firm performance. Therefore, it may be argued that born global firms in inland China are still limited by resources, including those generated from the international knowledge needed to adapt to internal and external pressures.
Eco-Social Agriculture for Social Transformation and Environmental Sustainability: A Case Study of the UPAS-Project
Authors: Nicli Sara , Elsen Susanne Ursula , Bernhard Armin
Published: July 2020

Rural areas are facing vulnerabilities and changes caused by negative social, economic and ecological externalities resulting from industrial agriculture systems. Locally embedded farms and bottom-linked approaches such as social cooperatives that act in the field of social agriculture are small, but valuable models to counteract these trends. This article is based on a case study conducted within the transdisciplinary research and development project Unlocking the Potential of Social Agriculture (UPAS), 2017–2020—financed by the Free University of Bolzano. The main focus of the case study is to determine the impact of social agriculture initiatives on social and healthcare systems, the natural environment and the communities in which they act. Data collection includes a literature review, observations and interviews carried out on 35 case studies of social agriculture initiatives, mainly located in Italy. The field research points out that actors in the sector of social agriculture predominantly aim to integrate disadvantaged people socially and in terms of their labor, base their production on organic methods, and that social agriculture has the potential to foster eco-social transformation and development of rural areas by the combination of social and ecological concerns. Thus, we use the term “eco-social” agriculture to describe these approaches. Furthermore, five components of eco-social agriculture have been defined, which, together, offer an ideal set of acting principles, namely: (1) the empowerment and integration of disadvantaged people, (2) the promotion of environmentally friendly agricultural practices, (3) the protection of nature, resources and cultural landscape, (4) support to the local community, and (5) education for sustainable development.
Sustainable HRM as a Driver for Innovative Work Behaviour: Do Respect, Openness, and Continuity Matter? The Case of Lithuania
Authors: Stankevičiūtė Živilė , Staniškienė Eglė , Ciganė Urtė
Published: July 2020

There is a widespread consensus in prior literature that innovative work behaviour is a crucial factor in enabling organisations to adapt to rapid changes, to gain a competitive advantage, and create a sustainable organisation. Despite its importance, knowledge about potential drivers of this behaviour is fragmented and inconsistent. As such, organisations may be restricted in their ability to innovate because they do not know how to induce the employees in a way that will encourage them to explore, generate, champion, and finally implement the ideas. Recently, human resource management (HRM) has been explored among potential drivers, considering it as primary means by which organisations can influence and shape the behaviours of employees. Despite the notion that HRM predicts innovative work behaviour, there is a lack in the literature of insights into the ways the organisations can stimulate behaviour by offering sustainability-focused HRM. Sustainable HRM refers to a new approach to people management with the focus on external business environment (openness), respect for the employee (respect), and balanced interests of employer and employee (continuity). Relying on the notion that organisations are gradually introducing sustainable HRM and trying to close the gap in the literature, the paper is designed to link a new approach to people management with innovative work behaviour. The aim of the paper is an initial assessment of whether sustainable HRM is a driver for innovative work behaviour. Disentangling four dimensions of innovative work behaviour makes it possible to determine whether sustainable HRM can stimulate different behaviour types linked to idea exploration, idea generation, idea championing, and idea implementation. The results of a preparatory survey of 306 employees working in Lithuanian companies showed that respect-oriented HRM and continuity-oriented HRM were positively related to innovative work behaviour and the appropriate dimensions (except for idea exploration in case of continuity-oriented HRM); meanwhile, there was no support for the relationship between openness-oriented HRM and innovative work behaviour. Overall, sustainable HRM was found to be a driver for enhancing innovative work behaviour and its dimensions.
Geo-Disaster Governance under the IAD Framework: The Case Study of Chongqing’s Three Gorges Reservoir Region, China
Authors: Ran Aobo , Fan Jingbo , Zhou Li , Zhang Chenggang
Published: July 2020

Disaster governance draws attention from academics and policymakers, especially in developing countries. This paper shows how daily geo-disaster governance at local level operates in China and then reveals the causes of its pattern. To achieve the goals, we apply the Institutional Analysis and Development (IAD) Framework as the lens into the case of Chongqing’s Three Gorges Reservoir Region. We find that China’s daily geo-disaster governance, as a whole, is a top–down system where public sectors play an active role. It emphasizes technology, engineering, and profession, and features the matrix of fragmentation. The governance varies as the situations change and leaves disconnection among situations. The exogenous environment, several rules in action situations, and evaluative criteria shape the governance pattern altogether. Finally, we suggest that the government should change from disaster orientation to people orientation, from discontinuity to continuity, and from singularity to diversity.
Limitations of Inclusive Agribusiness in Contributing to Food and Nutrition Security in a Smallholder Community. A Case of Mango Initiative in Makueni County, Kenya
Authors: Wangu James , Mangnus Ellen , van Westen A.C.M. (Guus)
Published: July 2020

Food and nutrition security remain at the top of development priorities in low income countries. This is especially the case for smallholder farmers who derive their livelihood from agriculture yet are often the most deprived. Inclusive agribusinesses have been championed as a key strategy to address local constraints that limit smallholders’ participation in regional and global value chains, thereby enhancing their livelihood, and food and nutrition security, accordingly. In this paper, based on a mixed method research approach, we explore the potential food and security contribution of inclusive agribusiness in Makueni county, Kenya. We focus on the smallholders’ constraints and needs, exploring the extent to which these are addressed by such purported pro-poor approach. First, using independent sample t-tests and a probit regression model, we explore who are able to participate in an ongoing intervention. We compare how participants and non-participants differ in terms of key socio-economic characteristics and establish which of these attributes are associated with successful integration into the business. Second, we again use independent sample t-tests to determine how the participants and non-participants compare in terms of their food and nutrition security. The household food and nutrition security is assessed with the conventional measurement tools: the household food insecurity access scale and the household food dietary diversity score. We find that participation in the inclusive agribusiness favors smallholder households with relatively higher production capacity in terms of better physical capital (land and number of mango trees, financial capital), access to loans, and human capital (age, education, and family size). Following income improvement, the participants’ household food security situation is significantly better than for non-participants. However, participation does not improve household dietary diversity, implying that improvement in income does not necessarily lead to better household nutrition security. To address the limitations of inclusive agribusiness, we propose policymakers and development actors to critically explore the contextual background prior to intervention design and implementation, and accordingly devise a broader approach for more inclusivity of the very poor and marginalized, and better food and nutrition security outcomes as a result. Given that not every smallholder could benefit from inclusive agribusiness for their food needs due to resource scarcity, alternative livelihood supports, including social protection programs and safety net plans, should be considered.
Are Agri-Food Systems Really Switching to a Circular Economy Model? Implications for European Research and Innovation Policy
Authors: Muscio Alessandro , Sisto Roberta
Published: July 2020

The shift from a linear model to a circular model can significantly reduce the negative pressures on the environment and contribute to restoring biodiversity and natural capital in Europe. In this view, research and innovation (R&I) play a relevant role in setting the modalities of this transition. Therefore, the European Commission (EC) recently promoted dedicated research activity instruments in this vital area of the economy and in society as a whole. This paper aims to shed light on current public efforts on R&I supporting the transition to the CE (circular economy) model, opening a critical debate on the actual relevance of the CE in current R&I policy with its major research policy schemes in the recent programming periods of 2007–2013 and 2014–2020. Looking at the most significant EC programs sponsoring R&I, it seems that the will to increase the sustainability of the agri-food system and to foster the socio-technical transition towards circularity is evident but not very relevant. The data presented leaves some open questions concerning the effective commitment of European countries to promoting resource efficiency via R&I.