bluuebunny/crossref_metadata_2025 huggingface dataset:
Meeting of Minds around Food Addiction: Insights from Addiction Medicine, Nutrition, Psychology, and Neurosciences
Authors: Constant Aymery , Moirand Romain , Thibault Ronan , Val-Laillet David
Published: November 2020

This review, focused on food addiction (FA), considers opinions from specialists with different expertise in addiction medicine, nutrition, health psychology, and behavioral neurosciences. The concept of FA is a recurring issue in the clinical description of abnormal eating. Even though some tools have been developed to diagnose FA, such as the Yale Food Addiction Scale (YFAS) questionnaire, the FA concept is not recognized as an eating disorder (ED) so far and is even not mentioned in the Diagnostic and Statistical Manuel of Mental Disorders version 5 (DSM-5) or the International Classification of Disease (ICD-11). Its triggering mechanisms and relationships with other substance use disorders (SUD) need to be further explored. Food addiction (FA) is frequent in the overweight or obese population, but it remains unclear whether it could articulate with obesity-related comorbidities. As there is currently no validated therapy against FA in obese patients, FA is often underdiagnosed and untreated, so that FA may partly explain failure of obesity treatment, addiction transfer, and weight regain after obesity surgery. Future studies should assess whether a dedicated management of FA is associated with better outcomes, especially after obesity surgery. For prevention and treatment purposes, it is necessary to promote a comprehensive psychological approach to FA. Understanding the developmental process of FA and identifying precociously some high-risk profiles can be achieved via the exploration of the environmental, emotional, and cognitive components of eating, as well as their relationships with emotion management, some personality traits, and internalized weight stigma. Under the light of behavioral neurosciences and neuroimaging, FA reveals a specific brain phenotype that is characterized by anomalies in the reward and inhibitory control processes. These anomalies are likely to disrupt the emotional, cognitive, and attentional spheres, but further research is needed to disentangle their complex relationship and overlap with obesity and other forms of SUD. Prevention, diagnosis, and treatment must rely on a multidisciplinary coherence to adapt existing strategies to FA management and to provide social and emotional support to these patients suffering from highly stigmatized medical conditions, namely overweight and addiction. Multi-level interventions could combine motivational interviews, cognitive behavioral therapies, and self-help groups, while benefiting from modern exploratory and interventional tools to target specific neurocognitive processes.
The Diverse Potential of Gluten from Different Durum Wheat Varieties in Triggering Celiac Disease: A Multilevel In Vitro, Ex Vivo and In Vivo Approach
Authors: Gaiani Federica , Graziano Sara , Boukid Fatma , Prandi Barbara , Bottarelli Lorena , Barilli Amelia , Dossena Arnaldo , Marmiroli Nelson , Gullì Mariolina , de’Angelis Gian Luigi , Sforza Stefano
Published: November 2020

The reasons behind the increasing prevalence of celiac disease (CD) worldwide are still not fully understood. This study adopted a multilevel approach (in vitro, ex vivo, in vivo) to assess the potential of gluten from different wheat varieties in triggering CD. Peptides triggering CD were identified and quantified in mixtures generated from simulated gastrointestinal digestion of wheat varieties (n = 82). Multivariate statistics enabled the discrimination of varieties generating low impact on CD (e.g., Saragolla) and high impact (e.g., Cappelli). Enrolled subjects (n = 46) were: 19 healthy subjects included in the control group; 27 celiac patients enrolled for the in vivo phase. Celiacs were divided into a gluten-free diet group (CD-GFD), and a GFD with Saragolla-based pasta group (CD-Sar). The diet was followed for 3 months. Data were compared between CD-Sar and CD-GFD before and after the experimental diet, demonstrating a limited ability of Saragolla to trigger immunity, although not comparable to a GFD. Ex vivo studies showed that Saragolla and Cappelli activated immune responses, although with great variability among patients. The diverse potential of durum wheat varieties in triggering CD immune response was demonstrated. Saragolla is not indicated for celiacs, yet it has a limited potential to trigger adverse immune response.
COVID-19 as a Trigger of Recurrent Guillain–Barré Syndrome
Authors: McDonnell Erin P. , Altomare Nicole J. , Parekh Yesha H. , Gowda Ram C. , Parikh Payal D. , Lazar Mark H. , Blaser Martin J.
Published: November 2020

Coronavirus 2019 (COVID-19) has been reported to trigger Guillain–Barré syndrome (GBS). While uncommon, recurrent GBS (rGBS) episodes, triggered by antecedent viral infections, have been reported in a small proportion of GBS patients, here we describe a patient with a recurrent case of GBS, occurring secondary to COVID-19 infection. Before this patient’s episode, he had two prior GBS flares, each precipitated by a viral infection followed by complete recovery besides intermittent paresthesias. We also consider the nosology of this illness in the spectrum of rGBS and Chronic Inflammatory Demyelinating Polyneuropathy (CIDP), with their differing natural histories, prognosis, and therapeutic approaches. For patients who have a history of inflammatory demyelinating polyradiculopathies who develop COVID-19, we recommend close observation for neurologic symptoms over the next days and weeks.
QTL Mapping for Resistance to Cankers Induced by Pseudomonas syringae pv. actinidiae (Psa) in a Tetraploid Actinidia chinensis Kiwifruit Population
Authors: Tahir Jibran , Brendolise Cyril , Hoyte Stephen , Lucas Marielle , Thomson Susan , Hoeata Kirsten , McKenzie Catherine , Wotton Andrew , Funnell Keith , Morgan Ed , Hedderley Duncan , Chagné David , Bourke Peter M. , McCallum John , Gardiner Susan E. , Gea Luis
Published: November 2020

Polyploidy is a key driver of significant evolutionary changes in plant species. The genus Actinidia (kiwifruit) exhibits multiple ploidy levels, which contribute to novel fruit traits, high yields and resistance to the canker-causing dieback disease incited by Pseudomonas syringae pv. actinidiae (Psa) biovar 3. However, the genetic mechanism for resistance to Psa observed in polyploid kiwifruit is not yet known. In this study we performed detailed genetic analysis of a tetraploid Actinidia chinensis var. chinensis population derived from a cross between a female parent that exhibits weak tolerance to Psa and a highly Psa-resistant male parent. We used the capture-sequencing approach across the whole kiwifruit genome and generated the first ultra-dense maps in a tetraploid kiwifruit population. We located quantitative trait loci (QTLs) for Psa resistance on these maps. Our approach to QTL mapping is based on the use of identity-by-descent trait mapping, which allowed us to relate the contribution of specific alleles from their respective homologues in the male and female parent, to the control of Psa resistance in the progeny. We identified genes in the diploid reference genome whose function is suggested to be involved in plant defense, which underly the QTLs, including receptor-like kinases. Our study is the first to cast light on the genetics of a polyploid kiwifruit and suggest a plausible mechanism for Psa resistance in this species.
Contrasting Immunopathogenic and Therapeutic Roles of Granulocyte Colony-Stimulating Factor in Cancer
Authors: Theron Annette , Steel Helen , Rapoport Bernardo , Anderson Ronald
Published: November 2020

Tumor cells are particularly adept at exploiting the immunosuppressive potential of neutrophils as a strategy to achieve uncontrolled proliferation and spread. Recruitment of neutrophils, particularly those of an immature phenotype, known as granulocytic myeloid-derived suppressor cells, is achieved via the production of tumor-derived granulocyte colony-stimulating factor (G-CSF) and neutrophil-selective chemokines. This is not the only mechanism by which G-CSF contributes to tumor-mediated immunosuppression. In this context, the G-CSF receptor is expressed on various cells of the adaptive and innate immune systems and is associated with induction of T cell polarization towards the Th2 and regulatory T cell (Treg) phenotypes. In contrast to the potentially adverse effects of sustained, endogenous production of G-CSF by tumor cells, stringently controlled prophylactic administration of recombinant (r) G-CSF is now a widely practiced strategy in medical oncology to prevent, and in some cases treat, chemotherapy-induced severe neutropenia. Following an overview of the synthesis, structure and function of G-CSF and its receptor, the remainder of this review is focused on: (i) effects of G-CSF on the cells of the adaptive and innate immune systems; (ii) mechanisms by which this cytokine promotes tumor progression and invasion; and (iii) current clinical applications and potential risks of the use of rG-CSF in medical oncology.
The Use of a Three-Fluid Atomising Nozzle in the Production of Spray-Dried Theophylline/Salbutamol Sulphate Powders Intended for Pulmonary Delivery
Authors: Focaroli Stefano , Jiang Guannan , O'Connell Peter , Fahy John V. , Healy Anne-Marie
Published: November 2020

The aim of this study was to investigate the use of a three-fluid atomising nozzle in a lab-scale spray dryer for the production of dry powders intended for pulmonary delivery. Powders were composed of salbutamol sulphate and theophylline in different weight ratios. The three-fluid nozzle technology enabled powders containing a high theophylline content to be obtained, overcoming the problems associated with its relatively low solubility, by pumping two separate feed solutions (containing the two different active pharmaceutical ingredients (APIs)) into the spray dryer via two separate nozzle channels at different feed rates. The final spray-dried products were characterized in terms of morphology, solid-state properties and aerosolization performance, and were compared with an equivalent formulation prepared using a standard two-fluid atomising nozzle. Results confirmed that most of the powders made using the three-fluid atomising nozzle met the required standards for a dry powder inhaler formulation in terms of physical characteristics; however, aerosolization characteristics require improvement if the powders are to be considered suitable for pulmonary delivery.
Process Design of Continuous Powder Blending Using Residence Time Distribution and Feeding Models
Authors: Gyürkés Martin , Madarász Lajos , Köte Ákos , Domokos András , Mészáros Dániel , Beke Áron Kristóf , Nagy Brigitta , Marosi György , Pataki Hajnalka , Nagy Zsombor Kristóf , Farkas Attila
Published: November 2020

The present paper reports a thorough continuous powder blending process design of acetylsalicylic acid (ASA) and microcrystalline cellulose (MCC) based on the Process Analytical Technology (PAT) guideline. A NIR-based method was applied using multivariate data analysis to achieve in-line process monitoring. The process dynamics were described with residence time distribution (RTD) models to achieve deep process understanding. The RTD was determined using the active pharmaceutical ingredient (API) as a tracer with multiple designs of experiment (DoE) studies to determine the effect of critical process parameters (CPPs) on the process dynamics. To achieve quality control through material diversion from feeding data, soft sensor-based process control tools were designed using the RTD model. The operation block model of the system was designed to select feasible experimental setups using the RTD model, and feeder characterizations as digital twins, therefore visualizing the output of theoretical setups. The concept significantly reduces the material and instrumental costs of process design and implementation.
Optimal Design of THEDES Based on Perillyl Alcohol and Ibuprofen
Authors: Silva Eduardo , Oliveira Filipe , Silva Joana M. , Matias Ana , Reis Rui L. , Duarte Ana Rita C.
Published: November 2020

Therapeutic deep eutectic systems (THEDES) have dramatically expanded their popularity in the pharmaceutical field due to their ability to increase active pharmaceutical ingredients (APIs) bioavailability. However, their biological performance has not yet been carefully scrutinized. Herein, THEDES based on the binary mixture of perillyl alcohol (POH) and ibuprofen (IBU) were prepared using different molar ratios. Our comprehensive strategy includes the characterization of their thermal and structural behavior to identify the molar ratios that successfully form deep eutectic systems. The in vitro solubility of the different systems prepared has demonstrated that, unlike other reported examples, the presence of the terpene did not affect the solubility of the anti-inflammatory agent in a physiological simulated media. The biological performance of the systems was studied in terms of their antimicrobial activity against a wide panel of microorganisms. The examined THEDES showed relevant antimicrobial activity against all tested microbial strains, with the exception of P. aeruginosa. A synergistic effect from the combination of POH and IBU as a eutectic system was verified. Furthermore, the cytotoxic profile of these eutectic systems towards colorectal cancer (CRC) in vitro cell models was also evaluated. The results provide the indication that the cell viability varies in a dose-dependent manner, with a selective THEDES action towards CRC cells. With tunable bioactivities in a ratio-dependent manner, THEDES enhanced the antimicrobial and anticancer properties, representing a possible alternative to conventional therapies. Therefore, this study provides foreseeable indications about the utility of THEDES based on POH and IBU as strong candidates for novel active pharmaceutical systems.
Biomolecule from Trigonella stellata from Saudi Flora to Suppress Osteoporosis via Osteostromal Regulations
Authors: Ibrahim Hairul-Islam Mohamed , Darrag Hossam M. , Alhajhoj Mohammed Refdan , Khalil Hany Ezzat
Published: November 2020

Trigonella stellata has used in folk medicine as palatable and nutraceutical herb. It also regulates hypocholesterolemia, hypoglycemia, and has showed anti-inflammatory activities as well as antioxidants efficacy. Osteoporosis is a one of bone metabolic disorders and is continuously increasing worldwide. In the present study, caffeic acid was isolated from Trigonella stellata and identified using 1 D- and 2 D-NMR spectroscopic data. Caffeic acid was investigated on osteoblast and osteoclast in vitro using mice bone marrow-derived mesenchymal cells. Caffeic acid played reciprocal proliferation between osteoblast and osteoclast cells and accelerated the bone mineralization. It was confirmed by cytotoxicity, alkaline phosphatase (ALP), alizarin red S (ARS), and Tartrate resistant acid phosphatase (TRAP) assay. Caffeic acid regulated the osteogenic marker and upregulated the osteopontin, osteocalcin, and bone morphogenic proteins (BMP). Quantitative real time PCR and Western blot were used to quantify the mRNA and protein markers. It also regulated the matrix metalloprotease-2 (MMP-2) and cathepsin-K proteolytic markers in osteoclast cells. In addition, caffeic acid inhibited bone resorption in osteoclast cells. On the other hand, it upregulate osteoblast differentiation through stimulation of extracellular calcium concentrations osteoblast differentiation, respectively. The results also were confirmed through in silico docking of caffeic acid against cathepsin-B and cathepsin-K markers. These findings revealed that caffeic acid has a potential role in bone-metabolic disorder through its multifaceted effects on osteoblast and osteoclast regulations and controls osteoporosis.
Influence of Gasoline Addition on Biodiesel Combustion in a Compression-Ignition Engine with Constant Settings
Authors: Tutak Wojciech , Jamrozik Arkadiusz
Published: November 2020

This paper presents results of investigation of co-combustion process of biodiesel with gasoline, in form of mixture and using dual fuel technology. The main objective of this work was to show differences in both combustion systems of the engine powered by fuels of different reactivity. This paper presents parameters of the engine and the assessment of combustion stability. It turns out that combustion process of biodiesel was characterized by lower ignition delay compared to diesel fuel combustion. For 0.54 of gasoline energetic fraction, the ignition delay increased by 25% compared to the combustion of the pure biodiesel, but for dual fuel technology for 0.95 of gasoline fraction it was decreased by 85%. For dual fuel technology with the increase in gasoline fraction, the specific fuel consumption (SFC) was decreased for all analyzed fractions of gasoline. In the case of blend combustion, the SFC was increased in comparison to dual fuel technology. An analysis of spread of ignition delay and combustion duration was also presented. The study confirmed that it is possible to co-combust biodiesel with gasoline in a relatively high energetic fraction. For the blend, the ignition delay was up to 0.54 and for dual fuel it was near to 0.95.
The Carbon-Coated ZnCo2O4 Nanowire Arrays Pyrolyzed from PVA for Enhancing Lithium Storage Capacity
Authors: Zhao Wenjia , Shi Zhaoping , Qi Yongbing , Cheng Jipeng
Published: November 2020

In this paper, ZnCo2O4 nanowire arrays with a uniform carbon coating were introduced when polyvinyl alcohol (PVA) served as the carbon source. The coating process was completed by a facile bath method in PVA aqueous solution and subsequent pyrolyzation. The PVA-derived carbon-coated ZnCo2O4 nanowire array composites can be used directly as the binder-free and self-supported anode materials for lithium-ion batteries. In the carbon-coated ZnCo2O4 composites, the carbon layer carbonized from PVA can accelerate the electron transfer and accommodate the volume swing during the cycling process. The lithium storage properties of the carbon-coated ZnCo2O4 composites are investigated. It is believed that the novel carbon-coating method is universal and can be applied to other nanoarray materials.
Catalytic Performance of Lanthanum Promoted Ni/ZrO2 for Carbon Dioxide Reforming of Methane
Authors: Lanre Mahmud S. , Al-Fatesh Ahmed S. , Fakeeha Anis H. , Kasim Samsudeen O. , Ibrahim Ahmed A. , Al-Awadi Abdulrahman S. , Al-Zahrani Attiyah A. , Abasaeed Ahmed E.
Published: November 2020

Nickel catalysts supported on zirconium oxide and modified by various amounts of lanthanum with 10, 15, and 20 wt.% were synthesized for CO2 reforming of methane. The effect of La2O3 as a promoter on the stability of the catalyst, the amount of carbon formed, and the ratio of H2 to CO were investigated. In this study, we observed that promoting the catalyst with La2O3 enhanced catalyst activities. The conversions of the feed, i.e., methane and carbon dioxide, were in the order 10La2O3 > 15La2O3 > 20La2O3 > 0La2O3, with the highest conversions being about 60% and 70% for both CH4 and CO2 respectively. Brunauer–Emmett–Teller (BET) analysis showed that the surface area of the catalysts decreased slightly with increasing La2O3 doping. We observed that 10% La2O3 doping had the highest specific surface area (21.6 m2/g) and the least for the un-promoted sample. The higher surface areas of the promoted samples relative to the reference catalyst is an indication of the concentration of the metals at the mouths of the pores of the support. XRD analysis identified the different phases available, which ranged from NiO species to the monoclinic and tetragonal phases of ZrO2. Temperature programmed reduction (TPR) analysis showed that the addition of La2O3 lowered the activation temperature needed for the promoted catalysts. The structural changes in the morphology of the fresh catalyst were revealed by microscopic analysis. The elemental compositions of the catalyst, synthesized through energy dispersive X-ray analysis, were virtually the same as the calculated amount used for the synthesis. The thermogravimetric analysis (TGA) of spent catalysts showed that the La2O3 loading of 10 wt.% contributed to the gasification of carbon deposits and hence gave about 1% weight-loss after a reaction time of 7.5 h at 700 °C.
Political Atrocities, Moral Indignation, and Forgiveness in African Religious Ethics
Authors: Ilesanmi Simeon
Published: November 2020

Scholarship on transitional justice has oscillated between the pedagogical value of moral magnanimity, shown by victims of past atrocities who choose to forgive their wrongdoers, and the deterrent effect of imposing punishment on the offenders, which includes making restitution to the victims of their wrongful actions. This article examines the views of two African thinkers on this issue, Archbishop Desmond Tutu who argues for forgiveness, and Wole Soyinka who defends restitution as a better way to express respect for the dignity of both the victims and the rule of law. The article contends that while traditional African values play important roles in the perspectives of these thinkers, they do not, in themselves, justify either of the two positions they advance. The article further contrasts the positive role Tutu and Soyinka assign to historical memory and truth-telling with the strategies of social forgetting and public silence embraced in Sierra Leone and Mozambique in their quest for political reconciliation.
1967/1969: The End, or (Just) a Pause of the Catholic Liberal Dream?
Authors: Diotallevi Luca
Published: November 2020

The aim of this paper is to explore the strong connections between the topics of this special volume of Religions: the current crisis of political Catholicism and religious Catholicism; the new questions posed about the relationship between Catholicism and advanced modernization; the relationship between Catholicism and European institutions; and the importance of the North Atlantic relationships within Catholicism. The paper sheds light on these questions through an analysis of a particular but indicative case study, namely, the “Catholic 68” in Italy. Deconstructing the predominant narrative about the relationship between Vatican II and the events of 1968 (or, better, those of the 2-year period 1967–1969) helps to clarify the connections between the topics of this volume in important ways. In fact, the predominant narrative about the “Catholic 68” still pays undue tribute to both an oversimplified reconstruction of the “parties” who fought one another during the Second Vatican Council and an oversimplified reading of the late 1960s. In this perspective, the Italian case is particularly relevant and yields important sociological insight. The starting point of the paper is the abundant literature on the “long 60s”. This scholarship has clarified the presence of an important religious dimension to the social and cultural processes of this period as well as a (generally accepted) link between the Council-issued renewal and “1968”. At the same time that literature has also clarified that the “long 60s” paved the way for a deep social transition which has also marked the first two decades of the 21st century. The nature of this religious renewal and social change has often been described as the triumph of liberal parties over conservative parties. This paper instead proposes a “three parties scheme” (conservative, progressive and liberal) to better understand the confrontation that occurred at the Council and that at the end of the same decade and its consequences for Catholicism and European politics today.
The Resource Base of Silica Glass Sand versus Glass Industry Development: The Case of Poland
Authors: Burkowicz Anna , Galos Krzysztof , Guzik Katarzyna
Published: November 2020

The production of glass in Poland, especially of container and flat glass, has constantly risen for at least 30 years. New investments in this sector, which have recently been completed or are currently in progress, create optimistic prospects for further development of this industry, whose total annual production capacities in the next few years is expected to exceed 4 million tons. This will result in increasing demand for basic glass-making raw materials, especially high-quality silica sand (glass sand), which can be satisfied almost entirely from domestic sources. Poland as a country with a considerable resource base of these mineral raw materials, has noted a constantly growing production level that currently reaches approximately 2.8 million tons per year. This paper aims to characterize and interpret the development trends in the Polish glass industry in an international context, as well as the resulting increase in demand for glass sand. In this context, an attempt was made to answer questions concerning the sufficiency of the Polish domestic resource base for the production of glass sand. For this study, the leading recent international and Polish analyses, related to glass industry development, the resource base of glass silica sand, and the management of these types of sand, were taken into account, and were complemented by official statistical data and surveying of domestic glass producers. The performed analysis showed that when taking into account the available glass sand resources in developed deposits in Poland, it is possible to continue production at the existing or a slightly increasing level for another 20–25 years. Based on a more comprehensive perspective, however, it would be a good approach to continue providing access to those parts of currently extracted deposits of silica sand and sandstone that are now located outside of the existing exploitation licenses, as well as enabling the development of some satellite deposits in the Tomaszów Basin, which may prove difficult due to environmental factors.
Assessment of Urban Land Surface Temperature and Vertical City Associated with Dengue Incidences
Authors: Nakhapakorn Kanchana , Sancharoen Warisara , Mutchimwong Auemphorn , Jirakajohnkool Supet , Onchang Rattapon , Rotejanaprasert Chawarat , Tantrakarnapa Kraichat , Paul Richard
Published: November 2020

Rapid population and urban growth in Bangkok increases the need for vertical city development because of the limited territory. This might lead to increasing land surface temperatures (LST), which makes some urban areas significantly warmer and leads to hot spots known as urban heat islands. It is known that climatic factors, such as rainfall and temperature, influence increases in dengue incidences. Thus, this research uses spatial statistical analysis to consider the association of urban LST with dengue incidences. The LST calculation methods are based on LANDSAT imageries in 2009 and 2014. Pearson correlation and Bayesian hierarchical modeling were used for predicting dengue incidences. This study found the highest correlation between the density of high-rise buildings, which had a significant influence on LST, and dengue incidences. Both the number of high-rise buildings and the surface temperature of low-rise buildings increased dengue incidence between 2009 and 2014. Overall, it was found that for every increase of 1000 high-rise buildings, the dengue incidence increased 2.19 on average during that period.
Technical Solution Discussion for Key Challenges of Operational Convolutional Neural Network-Based Building-Damage Assessment from Satellite Imagery: Perspective from Benchmark xBD Dataset
Authors: Su Jinhua , Bai Yanbing , Wang Xingrui , Lu Dong , Zhao Bo , Yang Hanfang , Mas Erick , Koshimura Shunichi
Published: November 2020

Earth Observation satellite imaging helps building diagnosis during a disaster. Several models are put forward on the xBD dataset, which can be divided into two levels: the building level and the pixel level. Models from two levels evolve into several versions that will be reviewed in this paper. There are four key challenges hindering researchers from moving forward on this task, and this paper tries to give technical solutions. First, metrics on different levels could not be compared directly. We put forward a fairer metric and give a method to convert between metrics of two levels. Secondly, drone images may be another important source, but drone data may have only a post-disaster image. This paper shows and compares methods of directly detecting and generating. Thirdly, the class imbalance is a typical feature of the xBD dataset and leads to a bad F1 score for minor damage and major damage. This paper provides four specific data resampling strategies, which are Main-Label Over-Sampling (MLOS), Discrimination After Cropping (DAC), Dilation of Area with Minority (DAM) and Synthetic Minority Over-Sampling Technique (SMOTE), as well as cost-sensitive re-weighting schemes. Fourthly, faster prediction meets the need for a real-time situation. This paper recommends three specific methods, feature-map subtraction, parameter sharing, and knowledge distillation. Finally, we developed our AI-driven Damage Diagnose Platform (ADDP). This paper introduces the structure of ADDP and technical details. Customized settings, interface preview, and upload and download satellite images are major services our platform provides.
Growth Stage Classification and Harvest Scheduling of Snap Bean Using Hyperspectral Sensing: A Greenhouse Study
Authors: Hassanzadeh Amirhossein , Murphy Sean P. , Pethybridge Sarah J. , van Aardt Jan
Published: November 2020

The agricultural industry suffers from a significant amount of food waste, some of which originates from an inability to apply site-specific management at the farm-level. Snap bean, a broad-acre crop that covers hundreds of thousands of acres across the USA, is not exempt from this need for informed, within-field, and spatially-explicit management approaches. This study aimed to assess the utility of machine learning algorithms for growth stage and pod maturity classification of snap bean (cv. Huntington), as well as detecting and discriminating spectral and biophysical features that lead to accurate classification results. Four major growth stages and six main sieve size pod maturity levels were evaluated for growth stage and pod maturity classification, respectively. A point-based in situ spectroradiometer in the visible-near-infrared and shortwave-infrared domains (VNIR-SWIR; 400–2500 nm) was used and the radiance values were converted to reflectance to normalize for any illumination change between samples. After preprocessing the raw data, we approached pod maturity assessment with multi-class classification and growth stage determination with binary and multi-class classification methods. Results from the growth stage assessment via the binary method exhibited accuracies ranging from 90–98%, with the best mathematical enhancement method being the continuum-removal approach. The growth stage multi-class classification method used raw reflectance data and identified a pair of wavelengths, 493 nm and 640 nm, in two basic transforms (ratio and normalized difference), yielding high accuracies (~79%). Pod maturity assessment detected narrow-band wavelengths in the VIS and SWIR region, separating between not ready-to-harvest and ready-to-harvest scenarios with classification measures at the ~78% level by using continuum-removed spectra. Our work is a best-case scenario, i.e., we consider it a stepping-stone to understanding snap bean harvest maturity assessment via hyperspectral sensing at a scalable level (i.e., airborne systems). Future work involves transferring the concepts to unmanned aerial system (UAS) field experiments and validating whether or not a simple multispectral camera, mounted on a UAS, could incorporate < 10 spectral bands to meet the need of both growth stage and pod maturity classification in snap bean production.
Monitoring Wheat Fusarium Head Blight Using Unmanned Aerial Vehicle Hyperspectral Imagery
Authors: Liu Linyi , Dong Yingying , Huang Wenjiang , Du Xiaoping , Ma Huiqin
Published: November 2020

The monitoring of winter wheat Fusarium head blight via rapid and non-destructive measures is important for agricultural production and disease control. Images of unmanned aerial vehicles (UAVs) are particularly suitable for the monitoring of wheat diseases because they feature high spatial resolution and flexible acquisition time. This study evaluated the potential to monitor Fusarium head blight via UAV hyperspectral imagery. The field site investigated by this study is located in Lujiang County, Anhui Province, China. The hyperspectral UAV images were acquired on 3 and 8 May 2019, when wheat was at the grain filling stage. Several features, including original spectral bands, vegetation indexes, and texture features, were extracted from these hyperspectral images. Based on these extracted features, univariate Fusarium monitoring models were developed, and backward feature selection was applied to filter these features. The backpropagation (BP) neural network was improved by integrating a simulated annealing algorithm in the experiment. A multivariate Fusarium head blight monitoring model was developed using the improved BP neural network. The results showed that bands in the red region provide important information for discriminating between wheat canopies that are either slightly or severely Fusarium-head-blight-infected. The modified chlorophyll absorption reflectance index performed best among all features, with an area under the curve and standard deviation of 1.0 and 0.0, respectively. Five commonly used methods were compared with this improved BP neural network. The results showed that the developed Fusarium head blight monitoring model achieved the highest overall accuracy of 98%. In addition, the difference between the producer accuracy and user accuracy of the improved BP neural network was smallest among all models, indicating that this model achieved better stability. These results demonstrate that hyperspectral images of UAVs can be used to monitor Fusarium head blight in winter wheat.
Progressive Domain Adaptation for Change Detection Using Season-Varying Remote Sensing Images
Authors: Kou Rong , Fang Bo , Chen Gang , Wang Lizhe
Published: November 2020

The development of artificial intelligence technology has prompted an immense amount of researches on improving the performance of change detection approaches. Existing deep learning-driven methods generally regard changes as a specific type of land cover, and try to identify them relying on the powerful expression capabilities of neural networks. However, in practice, different types of land cover changes are generally influenced by environmental factors at different degrees. Furthermore, seasonal variation-induced spectral differences seriously interfere with those of real changes in different land cover types. All these problems pose great challenges for season-varying change detection because the real and seasonal variation-induced changes are technically difficult to separate by a single end-to-end model. In this paper, by embedding a convolutional long short-term memory (ConvLSTM) network into a conditional generative adversarial network (cGAN), we develop a novel method, named progressive domain adaptation (PDA), for change detection using season-varying remote sensing images. In our idea, two cascaded modules, progressive translation and group discrimination, are introduced to progressively translate pre-event images from their own domain to the post-event one, where their seasonal features are consistent and their intrinsic land cover distribution features are retained. By training this hybrid multi-model framework with certain reference change maps, the seasonal variation-induced changes between paired images are effectively suppressed, and meanwhile the natural and human activity-caused changes are greatly emphasized. Extensive experiments on two types of season-varying change detection datasets and a comparison with other state-of-the-art methods verify the effectiveness and competitiveness of our proposed PDA.
Highly Sensitive Flow Sensor Based on Flexible Dual-Layer Heating Structures
Authors: Yan Yu-Chao , Jiang Cheng-Yu , Chen Run-Bo , Ma Bing-He , Deng Jin-Jun , Zheng Shao-Jun , Luo Jian
Published: November 2020

Hot film sensors detect the flow shear stress based on the forced convection heat transfer to the fluid. Current hot film sensors have been significantly hindered by the relatively low sensitivity due to the massive heat conduction to the substrate. This paper describes the design, fabrication, simulation, and testing of a novel flow sensor with dual-layer hot film structures. More specifically, the heat conduction was insulated from the sensing heater to the substrate by controlling both sensing and guarding heaters working at the same temperature, resulting in a higher sensitivity. The experiment and simulation results showed that the sensitivity of the dual-layer hot film sensor was significantly improved in comparison to the single-layer sensor. Additionally, the dual-layer sensor was designed and fabricated in an integrated, flexible, and miniaturized manner. Its small size makes it an excellent candidate for flow detection.
Dehumidification Effect of Polymeric Superabsorbent SAP-LiCl Composite Desiccant-Coated Heat Exchanger with Different Cyclic Switching Time
Authors: Panigrahi Bivas , Chen Yu Sheng , Luo Win Jet , Wang Hung Wei
Published: November 2020

This study investigated a composite polymer desiccant material’s performance, which is prepared by impregnating solid desiccant such as sodium polyacrylate (SAP) on to hygroscopic salts such as lithium chloride (LiCl). Dehumidification performance of the proposed composite polymer desiccant (SAP-LiCl) was analyzed by coating the suitable weight percentage (wt %) of the desiccant onto a single fin-tube heat exchanger (FTHE) system and testing the desiccant-coated heat exchanger (DCHE) in a testing tunnel under various operating conditions. Net dehumidification efficacy of DCHE in terms of sorption and desorption amount and thermal performance (COPth) were analyzed. For instance, with processed air inflow temperature, relative humidity and regeneration temperature setting of 30 °C, 80% RH and 70 °C, DCHE’s sorption, desorption amount and COPth were recorded as high as 945.1 g, 1115.1 g, and 0.39, respectively. It was further realized that the performance of the DCHE could be enhanced by modulating the cyclic switching time for dehumidification and regeneration processes. For instance, with the aforementioned processed airflow conditions, when the cyclic switching time tuned as 60 min instead of 10 min for a total time period of 120 min, there is a net 58% improvement to the COPth of the system. It was further observed that, under the same time period corresponding to the increase in cyclic switching time, the overall COPth can be enhanced; however, the water vapor sorption and desorption amounts of desiccant were decreased.
How Do Energy Use and Climate Change Affect Fast-Start Finance? A Cross-Country Empirical Investigation
Authors: Passaro Renato , Quinto Ivana , Scandurra Giuseppe , Thomas Antonio
Published: November 2020

To promote the sustainable development of developing countries through the reduction of greenhouse gas emissions and the impact of anthropogenic activity on the atmosphere, for some decades, developed countries and international institutions provided an increasing amount of climate financing tools, allocated through multiple channels. After the Copenhagen Conference of the Parties (COP15) held in 2009, developed country parties pledged to provide new and additional resources, including forestry and investments, approaching USD 30 billion for the period 2010–2012 and with balanced allocation between mitigation and adaptation. This collective commitment has come to be known as “Fast-start Finance” (FSF). To assess the key factors contributing to the amount and distribution of funding supporting projects using FSF, in this paper, we investigate the relationship between FSF, energy use, and greenhouse gas emissions. To this aim, two main analyses were carried out: (i) a qualitative examination of donor’s funding strategies and (ii) a quantitative analysis deepening the relationship between climate finance and greenhouse gas emissions by beneficiaries through a quantile regression model. Findings indicate a need to redesign the current aid scheme, and suggest an increasing need for financed projects to support sustainable economic innovation patterns of developing countries while paying close attention to the environmental policy context. The purpose was to provide useful feedback to policymakers to assess the effectiveness of the flow of funding for environmental plans and to avoid excessive aid dispersal and consequently a reduction of the FSF benefits.
A Conceptual Framework for Complex Systems at the Crossroads of Food, Environment, Health, and Innovation
Authors: Poto Margherita Paola
Published: November 2020

Climate-smart solutions and practices have the potential to contribute to the UN Sustainable Development Goals (SDGs) of achieving zero hunger; ensuring healthy lives and promoting the wellbeing of humans, animals, and plants; reducing ocean overharvesting and overfishing; tackling climate change; driving economic growth; and promoting innovation. Achieving these goals will require searching for, defining, and adopting the most effective and suitable scientific approach for studying synergies between often-opposing socioeconomic and environmental priorities. Developing a critical conceptual framework as a reading key for the SDGs’ interactions (theory building) and exploring the possibilities of upscaling successful climate-smart practices, with the case study offered by the SECURE project (theory testing) are the two methods adopted to answer the research hypothesis on the validity and scope of conceptual frameworks for complex systems. The paper concludes with a call for further testing of tools, approaches, and methods to enable dynamic systems thinking to inform upscaling efforts, while recognizing the transdisciplinary nature and complexity of the study of low-trophic marine resources as a constituent of food production, and environmental and health protection systems.
Power Systems Resilience Metrics: A Comprehensive Review of Challenges and Outlook
Authors: Raoufi Habibollah , Vahidinasab Vahid , Mehran Kamyar
Published: November 2020

Recently, there has been a focus on natural and man-made disasters with a high-impact low-frequency (HILF) property in electric power systems. A power system must be built with “resilience” or the ability to withstand, adapt and recover from disasters. The resilience metrics (RMs) are tools to measure the resilience level of a power system, normally employed for resilience cost–benefit in planning and operation. While numerous RMs have been presented in the power system literature; there is still a lack of comprehensive framework regarding the different types of the RMs in the electric power system, and existing frameworks have essential shortcomings. In this paper, after an extensive overview of the literature, a conceptual framework is suggested to identify the key variables, factors and ideas of RMs in power systems and define their relationships. The proposed framework is compared with the existing ones, and existing power system RMs are also allocated to the framework’s groups to validate the inclusivity and usefulness of the proposed framework, as a tool for academic and industrial researchers to choose the most appropriate RM in different power system problems and pinpoint the potential need for the future metrics.
Performance of Six Genotypes of Tritordeum Compare to Bread Wheat under East Mediterranean Condition
Authors: Kakabouki Ioanna , Beslemes Dimitrios F. , Tigka Evangelia L. , Folina Antigolena , Karydogianni Stella , Zisi Charikleia , Papastylianou Panagiota
Published: November 2020

Four advanced tritordeum lines were studied and compared to two commercial varieties of tritordeum and wheat cultivars in yield and quality features, in Greece. For this purpose, a two-year experiment was established in the Greek territory. The field experiment was set up in Randomized Complete Block Design (RCBD) with blocks, with different lines and varieties. Head emergence was calculated based on Growing Degree Days (GDDs), which was significantly affected by the year. The significance of differences between treatments was estimated by using Fisher’s least significant difference (LSD) test with significance level p = 0.05. The weight of 1000 seeds of the two commercial varieties differed from the equivalent weight of 1000 seeds of tritordeum lines, approximately 1 g. Yield was significantly affected by lines/varieties and year. Compared to tritordeum yield, wheat yield marked the highest values. This difference was almost 2 kg ha−1. Gluten content was significantly affected by lines/varieties. The highest gluten content was firstly noticed at wheat GENESIS (34.2%) variety and secondly at tritordeum Aucan (33.2%) variety. Protein was higher in tritordeum lines HT-1704 (15.5%), HT-1707 (15.1%) and Aucan variety (15.2%) during the first experimental year. Tritordeum seems to have significant adaptability to dry conditions in Greece and significant yields compared to the existing commercial varieties and bread wheat.
Potential of Producing Compost from Source-Separated Municipal Organic Waste (A Case Study in Shiraz, Iran)
Authors: Jalalipour Haniyeh , Jaafarzadeh Neematollah , Morscheck Gert , Narra Satyanarayana , Nelles Michael
Published: November 2020

Developing countries face serious environmental, social and economic challenges in managing different types of organic waste. Proper treatment strategies should be adopted by solid waste management systems in order to address these concerns. Among all of the treatment options for organic waste, composting is the most approved method as an effective strategy to divert solid waste from landfills. This experimental research aimed to examine the potential of producing compost from source-separated municipal organic waste in Shiraz, Iran. Market waste (fruits and vegetables) and garden waste (plant residues) were used as the raw input materials. They were subjected to the windrow pile composting method in an open site area. The process was monitored against several physical, chemical and biological parameters. In-situ measurements (temperature and moisture content) were carried out on a daily basis. Sampling and lab analyses were conducted over the period of the biological treatment. The final product was of acceptable moisture and nutrient levels, pH, Electrical Conductivity (EC), and Carbon/Nitrogen ratio. All of the analyzed compost samples had lower concentrations of heavy metals than the Iranian and German standards. Overall, the results obtained revealed that composting is a promising method for municipal organic waste treatment. The findings also imply the effectiveness of the source-separation collection method in the production of high-quality compost.
A Numerical Schemefor the Probability Density of the First Hitting Time for Some Random Processes
Authors: Macías-Díaz Jorge E.
Published: November 2020

Departing from a general stochastic model for a moving boundary problem, we consider the density function of probability for the first passing time. It is well known that the distribution of this random variable satisfies a problem ruled by an advection–diffusion system for which very few solutions are known in exact form. The model considers also a deterministic source, and the coefficients of this equation are functions with sufficient regularity. A numerical scheme is designed to estimate the solutions of the initial-boundary-value problem. We prove rigorously that the numerical model is capable of preserving the main characteristics of the solutions of the stochastic model, that is, positivity, boundedness and monotonicity. The scheme has spatial symmetry, and it is theoretically analyzed for consistency, stability and convergence. Some numerical simulations are carried out in this work to assess the capability of the discrete model to preserve the main structural features of the solutions of the model. Moreover, a numerical study confirms the efficiency of the scheme, in agreement with the mathematical results obtained in this work.