bluuebunny/crossref_metadata_2025 huggingface dataset:
Low Water Absorption, High-Strength Polyamide 6 Composites Blended with Sustainable Bamboo-Based Biochar
Authors: Zhu Shiliu , Guo Yong , Chen Yuxia , Liu Shengquan
Published: July 2020

To promote the application of polyamide 6 (PA6) in wood–plastic composites, the negative effects associated with the thermal degradation of plant fibers must be overcome. In this study, waste bamboo fibers were subjected to pyrolysis and ball milling to afford nano bamboo-based biochar (BC), which was subsequently used as reinforcement to prepare PA6/BC nano composites by injection molding. In addition, the processing fluidity, water absorption, mechanical properties, and interface compatibility of PA6/BC composites were discussed. Results revealed that a BC content of less than 30 wt% is beneficial to improve the processing fluidity of the composites. With the increase in the BC content, the density of the PA6/BC composites gradually increased, while the water absorption of the PA6/BC composites gradually decreased, and the maximum decrease was 46%. Compared to that of pure PA6, the mechanical strength of PA6/BC composites was improved by the addition of BC, and the maximum tensile/flexural strength and modulus of PA6/BC composites increased by 41%/72% and 195%/244%, respectively. However, the impact strength decreased by 27%. After immersion treatment, the dimensional stability and mechanical strength of the composites decreased, while toughness improved. At a BC content of less than 40 wt%, BC particles exhibited good dispersibility and wettability in the PA6 matrix, and the rough surface and rich pore structure of BC rendered strong mechanical interlocking effects and good interface compatibility, thereby enhancing the mechanical properties of the composites.
Removal of Hg2+ with Polypyrrole-Functionalized Fe3O4/Kaolin: Synthesis, Performance and Optimization with Response Surface Methodology
Authors: Lin Zhenfeng , Pan Ziwei , Zhao Yuhao , Qian Lin , Shen Jingtao , Xia Kai , Guo Yongfu , Qu Zan
Published: July 2020

PPy-Fe3O4/Kaolin was prepared with polypyrrole functionalized magnetic Kaolin by a simple, green, and low cost method to improve the agglomeration and low adsorption capacity of Kaolin. PPy-Fe3O4/Kaolin was employed to remove Hg2+ and the results were characterized by various methods. Relevant factors, including solution pH, dosage of adsorbent, concentration (C0), and temperature (T), were optimized by Response Surface Methodology (RSM) and Central Composite Designs (CCD). The optimal results show that the importance for adsorption factors is pH > T > C0 > dosage, and the optimal adsorption conditions of PPy-Fe3O4/Kaolin are pH = 7.2, T = 315 K, C0 = 50 mg/L, dosage of 0.05 g/L, and the capacity is 317.1 mg/g. The adsorption process conforms to the pseudo-second-order and Langmuir models. Dubinin–Radushkevich model shows that adsorption process is spontaneous and endothermic. Moreover, the adsorption of mercury by PPy-Fe3O4/Kaolin was achieved mainly through electrostatic attraction, pore diffusion, and chelation between amino functional groups and Hg2+. PPy-Fe3O4/Kaolin has excellent reproducibility, dispersity, and chemical stability, and it is easy to be separated from solution through an external magnetic field. The experiments show that PPy-Fe3O4/Kaolin is an efficient and economical adsorbent towards mercury.
Srebp-1c/Fgf21/Pgc-1α Axis Regulated by Leptin Signaling in Adipocytes—Possible Mechanism of Caloric Restriction-Associated Metabolic Remodeling of White Adipose Tissue
Authors: Kobayashi Masaki , Uta Seira , Otsubo Minami , Deguchi Yusuke , Tagawa Ryoma , Mizunoe Yuhei , Nakagawa Yoshimi , Shimano Hitoshi , Higami Yoshikazu
Published: July 2020

Caloric restriction (CR) improves whole body metabolism, suppresses age-related pathophysiology, and extends lifespan in rodents. Metabolic remodeling, including fatty acid (FA) biosynthesis and mitochondrial biogenesis, in white adipose tissue (WAT) plays an important role in the beneficial effects of CR. We have proposed that CR-induced mitochondrial biogenesis in WAT is mediated by peroxisome proliferator-activated receptor γ coactivator-1α (PGC-1α), which is transcriptionally regulated by sterol regulatory element-binding protein 1c (SREBP-1c), a master regulator of FA biosynthesis. We have also proposed that the CR-associated upregulation of SREBP-1 and PGC-1α might result from the attenuation of leptin signaling and the upregulation of fibroblast growth factor 21 (FGF21) in WAT. However, the detailed molecular mechanisms remain unclear. Here, we interrogate the regulatory mechanisms involving leptin signaling, SREBP-1c, FGF21, and PGC-1α using Srebp-1c knockout (KO) mice, mouse embryonic fibroblasts, and 3T3-L1 adipocytes, by altering the expression of SREBP-1c or FGF21. We show that a reduction in leptin signaling induces the expression of proteins involved in FA biosynthesis and mitochondrial biogenesis via SREBP-1c in adipocytes. The upregulation of SREBP-1c activates PGC-1α transcription via FGF21, but it is unlikely that the FGF21-associated upregulation of PGC-1α expression is a predominant contributor to mitochondrial biogenesis in adipocytes.
Diet and Nutraceutical Supplementation in Dyslipidemic Patients: First Results of an Italian Single Center Real-World Retrospective Analysis
Authors: Pasta Andrea , Formisano Elena , Cremonini Anna Laura , Maganza Elio , Parodi Erika , Piras Sabrina , Pisciotta Livia
Published: July 2020

Background: Dyslipidemias are a heterogeneous group of metabolic disorders mainly characterized by an increased risk of atherosclerotic cardiovascular disease (ASCVD) or other conditions, such as acute pancreatitis in hypertriglyceridemia. The aim of this study was to evaluate the effect of diet treatment and nutraceutical (NUTs) supplementation on the plasma lipid profile in outpatient dyslipidemic subjects, considering the influence of several factors (i.e., gender, age, body mass index, alcohol consumption, and smoking habits). Methods: 487 dyslipidemic patients spanning from 2015 to 2019 were treated with a Mediterranean diet or NUTs in a real-word setting and were retrospectively analyzed. General characteristics and lipid profile at baseline and after the follow-up period were evaluated. Results: Diet alone reduced total cholesterol (−19 mg/dL, −7.7%), LDL cholesterol (−18 mg/dL, −10.1%), and triglycerides (−20 mg/dL, −16.7%). Triglycerides (TG) decreased more in men, while women were associated with higher reduction of LDL cholesterol (LDL-C). Different types of NUTs further ameliorate lipid profiles when associated with diet. Nevertheless, most patients at low ASCVD risk (222 out of 262, 81.6%) did not achieve the 2019 ESC/EAS guidelines recommended LDL-C goals (i.e., LDL-C < 116 mg/dL). Conclusion: Lipid-lowering diet improves lipid profile, and NUTs can boost its efficacy, but taken together they are mainly unsatisfactory with respect to the targets imposed by 2019 EAS/ESC guidelines.
Stachys sieboldii Miq. Root Attenuates Weight Gain and Dyslipidemia in Rats on a High-Fat and High-Cholesterol Diet
Authors: Lee Jennifer K. , Lee Jae-Joon , Kim Yeon-Kyoung , Lee Youngseung , Ha Jung-Heun
Published: July 2020

This study aimed at investigating the anti-obesity and anti-dyslipidemic effects of Stachys sieboldii Miq. root (SS) powder in rats following a high-fat and high-cholesterol (HFC) diet for 6 weeks. Thirty-two Sprague–Dawley rats were fed one of the following diets: a regular diet (RD), HFC, HFC supplemented with 3% SS (HFC + 3SS) or HFC supplemented with 5% SS (HFC + 5SS). Following an HFC diet increased body weight (BW) gain (p < 0.001) and the food efficiency ratio (FER; p < 0.001); however, SS consumption gradually prevented the HFC-induced BW gain (p < 0.001) and increase in FER (p < 0.01). The HFC diet resulted in increased liver size (p < 0.001) and total adipose tissue weight (p < 0.001), whereas the SS supplementation decreased hepatomegaly (p < 0.05) and body fat mass (p < 0.001). SS consumption prevented the increased activities of serum alanine aminotransferase (ALT; p < 0.001), aspartate aminotransferase (AST; p < 0.001), alkaline phosphatase (ALP; p < 0.01 in HFC + 5SS) and lactate dehydrogenase (LDH; p < 0.001 in HFC + 5SS) induced by the HFC diet (p < 0.001). The SS supplementation improved lipid profiles in the circulation by lowering triglyceride (TG; p < 0.01), total cholesterol (TC; p < 0.001) and non-HDL cholesterol (non-HDL-C; p < 0.001) levels, as well as the atherogenic index (p < 0.01) and cardiac risk factor (p < 0.01). The lipid distribution in the liver (p < 0.05) and white adipose tissues (WAT; p < 0.001) of the HFC + SS diet-consuming rats was remarkably lower than that of the HFC diet-consuming rats. The average size of the epididymal adipose tissue (p < 0.001) was significantly lower in the HFC + SS diet-fed rats than in the HFC diet-fed rats. The fecal lipid (>3% SS; p < 0.001) and cholesterol (5% SS; p < 0.001) efflux levels were significantly elevated by the SS supplementation compared to those measured in the RD or HFC diet-fed groups. In addition, the hepatic lipid and cholesterol metabolism-related gene expressions were affected by SS consumption, as the hepatic anabolic gene expression (Acc; p < 0.001, Fas; p < 0.001 and G6pdh; p < 0.01) was significantly attenuated. The HFC + 5SS diet-fed rats exhibited elevated hepatic Cyp7a1 (p < 0.001), Hmgcr (p < 0.001) and Ldlr (p < 0.001) mRNA expression levels compared to the HFC diet-fed rats. These results suggest that SS may possess anti-adipogenic and lipid-lowering effects by enhancing lipid and cholesterol efflux in mammals.
Reply to Comment On: “Indirect Assessment of Skeletal Muscle Glycogen Content in Professional Soccer Players before and after a Match through a Non-Invasive Ultrasound Technology Nutrients 2020, 12(4), 971”
Authors: San-Millán Iñigo , Hill John , Calleja-González Julio
Published: July 2020

We would like to thank Professor Niels Ørtenblad et al [...]
Dietary Protein Intake and Determinants in Māori and Non-Māori Octogenarians. Te Puāwaitanga o Ngā Tapuwae Kia Ora Tonu: Life and Living in Advanced Age: A Cohort Study in New Zealand
Authors: Ram Anishka , Kerse Ngaire , Moyes Simon A. , Muru-Lanning Marama , Wham Carol
Published: July 2020

Protein intake, food sources and distribution are important in preventing age-related loss of muscle mass and strength. The prevalence and determinants of low protein intake, food sources and mealtime distribution were examined in 214 Māori and 360 non-Māori of advanced age using two 24 h multiple pass recalls. The contribution of food groups to protein intake was assessed. Low protein intake was defined as ≤0.75 g/kg for women and ≤0.86 g/kg for men. A logistic regression model was built to explore predictors of low protein intake. A third of both women (30.9%) and men (33.3%) had a low protein intake. The main food group sources were beef/veal, fish/seafood, milk, bread though they differed by gender and ethnicity. For women and men respectively protein intake (g/meal) was lowest at breakfast (10.1 and 13.0), followed by lunch (14.5 and 17.8) and dinner (23.3 and 34.2). Being a woman (p = 0.003) and having depressive symptoms (p = 0.029) were associated with consuming less protein. In adjusted models the odds of adequate protein intake were higher in participants with their own teeth or partial dentures (p = 0.036). Findings highlight the prevalence of low protein intake, uneven mealtime protein distribution and importance of dentition for adequate protein intake among adults in advanced age.
Associations of Eating Mode Defined by Dietary Patterns with Cardiometabolic Risk Factors in the Malaysia Lipid Study Population
Authors: Balasubramanian Gaiyal Viliy , Chuah Khun-Aik , Khor Ban-Hock , Sualeheen Ayesha , Yeak Zu-Wei , Chinna Karuthan , Sundram Kalyana , Karupaiah Tilakavati
Published: July 2020

Cardiometabolic risk is scarcely explored related to dietary patterns (DPs) in Asian populations. Dietary data (n = 562) from the cross-sectional Malaysia Lipid Study were used to derive DPs through principal component analysis. Associations of DPs were examined with metabolic syndrome (MetS), atherogenic, inflammation and insulinemic status. Four DPs with distinctive eating modes were Home meal (HM), Chinese traditional (CT), Plant foods (PF) and Sugar-sweetened beverages (SSB). Within DP tertiles (T3 vs. T1), the significantly lowest risk was associated with CT for hsCRP (AOR = 0.44, 95% CI 0.28, 0.70, p < 0.001) levels. However, SSB was associated with the significantly highest risks for BMI (AOR = 2.01, 95% CI 1.28, 3.17, p = 0.003), waist circumference (AOR = 1.81, 95% CI 1.14, 2.87, p = 0.013), small LDL-C particles (AOR= 1.69, 95% CI 1.02, 2.79, p = 0.043), HOMA2-IR (AOR = 2.63, 95% CI 1.25, 5.57, p = 0.011), hsCRP (AOR = 2.21, 95% CI 1.40, 3.50, p = 0.001), and MetS (AOR = 2.78, 95% CI 1.49, 5.22, p = 0.001). Adherence behaviors to SSBs (T3) included consuming coffee/tea with condensed milk (29%) or plain with sugar (20.7%) and eating out (12 ± 8 times/week, p < 0.001). Overall, the SSB pattern with a highest frequency of eating out was detrimentally associated with cardiometabolic risks.
Lactobacillus helveticus-Fermented Milk Whey Suppresses Melanin Production by Inhibiting Tyrosinase through Decreasing MITF Expression
Authors: Ikarashi Nobutomo , Fukuda Natsuko , Ochiai Makiba , Sasaki Mami , Kon Risako , Sakai Hiroyasu , Hatanaka Misaki , Kamei Junzo
Published: July 2020

Whey obtained from milk fermented by the Lactobacillus helveticus CM4 strain (LHMW) has been shown to improve skin barrier function and increase skin-moisturizing factors. In this study, we investigated the effects of LHMW on melanin production to explore the additional impacts of LHMW on the skin. We treated mouse B16 melanoma cells with α-melanocyte-stimulating hormone (α-MSH) alone or simultaneously with LHMW and measured the amount of melanin. The amount of melanin in B16 cells treated with α-MSH significantly increased by 2-fold compared with that in control cells, and tyrosinase activity was also elevated. Moreover, treatment with LHMW significantly suppressed the increase in melanin content and elevation of tyrosinase activity due to α-MSH. LHMW also suppressed the α-MSH-induced increased expression of tyrosinase, tyrosinase-related protein 1 (TRP1), and dopachrome tautomerase (DCT) at the protein and mRNA levels. Furthermore, the mRNA and protein microphthalmia-associated transcription factor (MITF) expression levels were significantly increased with treatment with α-MSH alone, which were also suppressed by LHMW addition. LHMW suppression of melanin production is suggested to involve inhibition of the expression of the tyrosinase gene family by lowering the MITF expression level. LHMW may have promise as a material for cosmetics with expected clinical application in humans.
Non-IgE-Mediated Gastrointestinal Food Allergies in Children: An Update
Authors: Labrosse Roxane , Graham François , Caubet Jean-Christoph
Published: July 2020

Non-immunoglobulin E-mediated gastrointestinal food allergic disorders (non-IgE-GI-FA) include food protein-induced enterocolitis syndrome (FPIES), food protein-induced enteropathy (FPE) and food protein-induced allergic proctocolitis (FPIAP), which present with symptoms of variable severity, affecting the gastrointestinal tract in response to specific dietary antigens. The diagnosis of non-IgE-GI-FA is made clinically, and relies on a constellation of typical symptoms that improve upon removal of the culprit food. When possible, food reintroduction should be attempted, with the documentation of symptoms relapse to establish a conclusive diagnosis. Management includes dietary avoidance, nutritional counselling, and supportive measures in the case of accidental exposure. The prognosis is generally favorable, with the majority of cases resolved before school age. Serial follow-up to establish whether the acquisition of tolerance has occurred is therefore essential in order to avoid unnecessary food restriction and potential consequent nutritional deficiencies. The purpose of this review is to delineate the distinctive clinical features of non-IgE-mediated food allergies presenting with gastrointestinal symptomatology, to summarize our current understanding of the pathogenesis driving these diseases, to discuss recent findings, and to address currents gaps in the knowledge, to guide future management opportunities.
Home Enteral Nutrition in Adults—Nationwide Multicenter Survey
Authors: Folwarski Marcin , Kłęk Stanisław , Zoubek-Wójcik Agata , Szafrański Waldemar , Bartoszewska Lidia , Figuła Krzysztof , Jakubczyk Marlena , Jurczuk Anna , Kamocki Zbigniew , Kaźmierczak-Siedlecka Karolina , Kowalczyk Tomasz , Kwella Bogna , Matras Przemysław , Skonieczna-Żydecka Karolina , Sonsala-Wołczyk Joanna , Szopiński Jacek , Urbanowicz Krystyna , Zmarzły Anna
Published: July 2020

Home enteral nutrition (HEN) is an important part of the health care system, with a growing population of patients around the world. The aim of our study was to analyze one of the largest cohorts of HEN patients to provide the most recent data available in European literature. A multicenter, nation-wide survey in the period of 1 January 2018–1 January 2019 was performed in Poland. Data concerning adult patients on HEN in 2018 during 1 year of observation time were analyzed: demographic characteristics, primary disease, technique of enteral feeding, diet formulation and amount of energy provided. A total of 4586 HEN patients (F: 46.7%, M: 53.3%) were included in the study. The primary diseases were: 54.5% neurological (17.4%—neurovascular, 13.7%—neurodegenerative), 33.9% cancer (20.2%—head and neck, 11.7%—gastrointestinal cancer), 2.5%—gastroenterology, 1.5%—inherited diseases. Of new registrations in 2018—cancer patients 46.3%, neurological patients 45.1%. The median age overall was: 64 yr., BMI-20.2 kg/m2, NRS 2002 score—4.28. A total of 65% of patients were treated with PEG, 11.6% with surgical gastrostomy, 14.3% with naso-gastric tube and 7% with jejunostomy. Boluses were the most common method of feeding (74.4%). Gravity flow was used in 17.6% and peristaltic pump was used in 8% patients. The median energy provision was 1278 kcal/day and 24 kcal/kg/day. The most commonly used diets were: isocaloric (28.1%), protein-enriched isocaloric (20%) and protein-enriched hypercaloric (12%). The median overall duration of HEN was 354 days, 615 days for neurological and 209 days for cancer patients. A number of new registrations of cancer patients was significant and long duration of HEN in this group is encouraging. A developing spectrum of enteral formulas available enables more specified nutritional interventions.
Safety of Repeated Administration of Parenteral Ketamine for Depression
Authors: Feifel David , Dadiomov David , C. Lee Kelly
Published: July 2020

The objective of this study was to investigate the safety of repeated parenteral ketamine for depression. An electronic survey inquiring about the frequency of adverse events was distributed to providers of parenteral ketamine for depression. In addition, the investigators conducted a search of published studies describing six or more repeated parenteral ketamine treatments administered to individuals for depression, and extracted reported adverse events. The survey was sent to 69 providers, of which 36 responded (52% response rate); after eliminating those that were incomplete, 27 were included in the analysis. The providers in the analysis collectively reported treating 6630 patients with parenteral ketamine for depression, one-third of whom received more than 10 treatments. Only 0.7% of patients experienced an adverse effect that required discontinuation of ketamine. Psychological distress during the treatment was the most frequent cause. Other adverse events were extremely rare (such as bladder dysfunction (0.1%), cognitive decline (0.03%) and psychotic symptoms (0.03%)). Among the 20 published reports of repeated parenteral ketamine treatments, rates of significant adverse events resulting in discontinuation were low (1.2%). The rate of adverse effects reported in the survey and the published literature is low, and suggests that long-term treatment of depression with ketamine is reasonably safe.
Reconversion and Retrieval: Nonlinear Change in African Catholic Practice
Authors: Premawardhana Devaka
Published: July 2020

Against models of conversion that presume a trajectory or a progression from one religion to another, this article proposes a less linear, more complex, and ultimately more empirical understanding of religious change in Africa. It does so by foregrounding the particularities of Roman Catholicism—its privileging of materiality and practice, and of community and tradition. In the course of so doing, this article explores the overlaps between modernist thinking, Protestant ideals, and teleological trajectories; the factors behind reconversion and religious oscillation in sub-Saharan African contexts; inculturation and other continuity paradigms in Catholicism; the significance of the Renaissance for early modern Catholic missions; and the ministry of a contemporary Italian Catholic missionary serving in northern Mozambique. This article proposes that Catholic history and Catholic assumptions offer valuable resources for thinking beyond and thinking against linear models of religious conversion.
Atmospheric Forcing of the High and Low Extremes in the Sea Surface Temperature over the Red Sea and Associated Chlorophyll-a Concentration
Authors: Alawad Kamal A. , Al-Subhi Abdullah M. , Alsaafani Mohammed A. , Alraddadi Turki M.
Published: July 2020

Taking advantage of 37-year-long (1982–2018) of high-quality satellite datasets, we examined the role of direct atmospheric forcing on the high and low sea surface temperature (SST) extremes over the Red Sea (RS). Considering the importance of SST in regulating ocean physics and biology, the associated impacts on chlorophyll (Chl-a) concentration were also explored, since a small change in SST can cause a significant impact in the ocean. After describing the climate features, we classified the top 5% of SST values (≥31.5 °C) as extreme high events (EHEs) during the boreal summer period and the lowest SST values (≤22.8 °C) as extreme low events (ELEs) during the boreal winter period. The spatiotemporal analysis showed that the EHEs (ELEs) were observed over the southern (northern) basin, with a significant warming trend of 0.027 (0.021) °C year−1, respectively. The EHEs were observed when there was widespread less than average sea level pressure (SLP) over southern Europe, northeast Africa, and Middle East, including in the RS, leading to the cold wind stress from Europe being relatively less than usual and the intrusion of stronger than usual relatively warm air mass from central Sudan throughout the Tokar Gap. Conversely, EHEs were observed when above average SLP prevailed over southern Europe and the Mediterranean Sea as a result of the Azores high and westward extension of the Siberian anticyclone, which led to above average transfer of cold and dry wind stress from higher latitudes. At the same time, notably less wind stress due to southerlies that transfer warm and humid air masses northward was observed. Furthermore, physical and biological responses related to extreme stress showed distinct ocean patterns associated with each event. It was found that the Chl-a concentration anomalies over the northern basin caused by vertical nutrient transport through deep upwelling processes are the manifestation of the superimposition of ELEs. The situation was the opposite for EHEs due to the stably stratified ocean boundary layer, which is a well-known consequence of global warming.
Tracking Rates of Forest Disturbance and Associated Carbon Loss in Areas of Illegal Amber Mining in Ukraine Using Landsat Time Series
Authors: Myroniuk Viktor , Bilous Andrii , Khan Yevhenii , Terentiev Andrii , Kravets Pavlo , Kovalevskyi Sergii , See Linda
Published: July 2020

Mapping forest disturbance is crucial for many applications related to decision-making for sustainable forest management. This study identified the effect of illegal amber mining on forest change and accumulated carbon stock across a study area of 8125.5 ha in northern Ukraine. Our method relies on the Google Earth Engine (GEE) implementation of the Landsat-based Detection of Trends in Disturbance and Recovery (LandTrendr) temporal segmentation algorithm of Landsat time-series (LTS) to derive yearly maps of forest disturbance and recovery in areas affected by amber extraction operations. We used virtual reality (VR) 360 interactive panoramic images taken from the sites to attribute four levels of forest disturbance associated with the delta normalized burn ratio (dNBR) and then calculated the carbon loss. We revealed that illegal amber extraction in Ukraine has been occurring since the middle of the 1990s, yielding 3260 ha of total disturbed area up to 2019. This study indicated that the area of forest disturbance increased dramatically during 2013–2014, and illegal amber operations persist. As a result, regrowth processes were mapped on only 375 ha of total disturbed area. The results were integrated into the Forest Stewardship Council® (FSC®) quality management system in the region to categorize Forest Management Units (FMUs) conforming to different disturbance rates and taking actions related to their certification status. Moreover, carbon loss evaluation allows the responsible forest management systems to be streamlined and to endorse ecosystem service assessment.
SST Comparison of AVHRR and MODIS Time Series in the Western Mediterranean Sea
Authors: López García María José
Published: July 2020

Sea Surface Temperature (SST) is a key parameter for understanding atmospheric and oceanic processes. Since the late 1980s, infrared satellite images have been used to complement in situ records for studying the temporal and spatial variability of SST. The Advanced Very High Resolution Radiometer (AVHRR) of the National Oceanic and Atmospheric Administration (NOAA)’s satellite was the first sensor successfully used to compute SST following the development and validation of the atmospheric correction algorithm known as “split-window”. More recently, the MODerate-resolution Imaging Spectroradiometer (MODIS) on board the National Aeronautics and Space Administration (NASA)’s Terra and Aqua satellites, launched in 1999 and 2002, respectively, also provides SST products which can be combined with AVHRR series to complete the analysis of time series. This paper presents a comparison of the monthly SST data derived from both sensors, AVHRR and MODIS, in a series of ten years (2000–2009) in the Western Mediterranean basins. The results showed a high correlation (R2 = 0.99) between the sensors when averaged values at the regional scale were compared. SST obtained from AVHRR were slightly higher (+0.18 °C ± 0.2 °C, on average) than SST from MODIS. The series were most similar during winter and spring (+0.09 °C ± 0.1 °C for January to May) with a greater difference from June to December (+0.24 °C ± 0.2 °C). The comparative analysis showed that the two sensors can be used jointly to estimate long-term trends at the regional scale.
Statistical Characteristics of Cloud Occurrence and Vertical Structure Observed by a Ground-Based Ka-Band Cloud Radar in South Korea
Authors: Ye Bo-Young , Jung Eunsil , Shin Seungsook , Lee GyuWon
Published: July 2020

The cloud measurements for two years from the vertical pointing Ka-band cloud radar at Boseong in Korea are used to analyze detailed cloud properties. The reflectivity of the cloud radar is calibrated with other vertical pointing radars compared with the two disdrometers. A simple threshold-based quality control method is applied to eliminate non-meteorological echoes (insects and noise) in conjunction with despeckling along the radial direction. Clouds are classified into five types: high (HC), middle (MC), low (LC) for non-precipitating clouds, and deep (RainDP) and shallow (RainSH) for precipitating clouds. The average cloud frequency was about 35.9% with the maximum frequency of 50% in June for the total two-year sampling period. The RainDP occurred most frequently (11.8%), followed by HC (9.3%), MC (7.4%), RainSH (4.4%), and LC (2.9%) out of the average occurrence of the total 35.9%. HC and RainDP were frequently observed in summer and autumn, while RainSH, LC, and MC were dominant in the winter due to the dominant cloud development by the air-sea interaction during the cold air outbreak. The HC showed a significant seasonal variation of the maximum height and the rapid growth in the layer above 7 km (about −15 °C) in summer and autumn. This rapid growth appears in HC, MC, LC, and RainDP and is linked with rapid increases in Doppler velocity and mass flux. Thus, this growth is originated from the dominant riming processes in addition to depositional growth and is supported by an updraft in the layer between 6 and 8 km. MC showed a single frequency peak around 6 km with rapid growth above and strong evaporation below. The Doppler velocity of MC rapidly increases above 8 km and is nearly constant below this height due to strong evaporation except in the summer. LC had a similar trend of reflectivity (rapid growth in the HC region and strong evaporation in the lower region) lacking high frequency in the MC region. Unlike LC, the RainDP had continuous growth toward the ground in the entire layer with rapid growth in the HC and MC regions. In addition, two modes (cloud and precipitation) appear on the ground in spring and fall with the vertical continuity of the high frequency in the precipitation mode. The precipitation growth was most efficient in RainSH in summer with a reflectivity gradient of about 20 dBZ km−1 and frequent updrafts larger than 1 m s−1 and was smaller in the MC and HC regions.
Spectral and Radiometric Measurement Requirements for Inland, Coastal and Reef Waters
Authors: Gege Peter , Dekker Arnold G.
Published: July 2020

This paper studies the measurement requirements of spectral resolution and radiometric sensitivity to enable the quantitative determination of water constituents and benthic parameters for the majority of optically deep and optically shallow waters on Earth. The spectral and radiometric variability is investigated by simulating remote sensing reflectance (Rrs) spectra of optically deep water for twelve inland water scenarios representing typical and extreme concentration ranges of phytoplankton, colored dissolved organic matter and non-algal particles. For optically shallow waters, Rrs changes induced by variable water depth are simulated for fourteen bottom substrate types, from lakes to coastal waters and coral reefs. The required radiometric sensitivity is derived for the conditions that the spectral shape of Rrs should be resolvable with a quantization of 100 levels and that measurable reflection differences at at least one wavelength must occur at concentration changes in water constituents of 10% and depth differences of 20 cm. These simulations are also used to derive the optimal spectral resolution and the most sensitive wavelengths. Finally, the Rrs spectra and their changes are converted to radiances and radiance differences in order to derive sensor (noise-equivalent radiance) and measurement requirements (signal-to-noise ratio) at the water surface and at the top of the atmosphere for a range of solar zenith angles.
Fusion of Multi-Satellite Data and Artificial Neural Network for Predicting Total Discharge
Authors: Seo Jae Young , Lee Sang-Il
Published: July 2020

As research on the use of satellites in combination with previous hydrological monitoring techniques increases, interest in the application of the machine-learning approach to the prediction of hydrological variables is growing. Ground-based measurements are often limited due to the difficulties in measuring spatiotemporal variations, especially in ungauged areas. In addition, there are no existing satellites capable of measuring total discharge directly. In this study, Artificial neural network (ANN) machine-learning approaches are examined for the prediction of 0.25° total discharge data over the Korean Peninsula using the data fusion of multi-satellites, reanalysis data, and ground-based observations. Terrestrial water storage changes (TWSC) of the Gravity Recovery and Climate Experiment (GRACE) satellite, precipitation of the tropical rainfall measuring mission (TRMM), and soil moisture storage and average temperature of the global land data assimilation system (GLDAS) models are used as ANN model input data. The results demonstrate the relatively good performance of the ANN approach for predicting the total discharge in terms of the correlation coefficient (r = 0.65–0.95), maximum absolute error (MAE = 13.28–20.35 mm/month), root mean square error (RMSE = 22.56–34.77 mm/month), and Nash-Sutcliff efficiency (NSE = 0.42–0.90). The precipitation is identified as the most influential input parameter through a sensitivity analysis. Overall, the ANN-predicted total discharge shows similar spatial patterns to those from other methods, while GLDAS underestimates the total discharge with a smaller dynamic range than the other models. Thus, the potential of the ANN approach described herein shows promise for predicting the total discharge based on the data fusion of multi-satellites, reanalysis data, and ground-based observations.
A Comparative Study of Estimating Auroral Electron Energy from Ground-Based Hyperspectral Imagery and DMSP-SSJ5 Particle Data
Authors: Kong Wanqiu , Hu Zejun , Wu Jiaji , Qu Tan , Jeon Gwanggil
Published: July 2020

Aurora, the spectacular phenomenon commonly occurring in high latitudes, is caused by the precipitation of energetic particles penetrating the Earth’s atmosphere. Being the result of solar-terrestrial interactions, electron precipitation significantly contributes to auroral production. To evaluate its magnitude, a physical quantity describing the characteristics of precipitating auroral electrons—their characteristic energy—is adopted. In this paper, this quantity is derived from joint data observed by the ground-based auroral spectroscopic imager located in Antarctica Zhongshan Station and the particle detectors “Special Sensor J5 (SSJ5)” on the Defense Meteorological Satellite Program (DMSP) satellites. A postprocessing scheme of ground-based spectral data is proposed to infer the characteristic energy that successively uses classical brute-force, recursive brute-force and self-consistent approximation strategies for step-up speed improvement. Then, the inferred characteristic energies are compared to the average energies calibrated from the relevant electron data detected by SSJ5 to confirm whether this inference is valid. Regarding DMSP F18/SSJ5, these two energy estimations about auroral electrons deviate slightly from each other and show a strong linear relationship. It sheds light on further applications of the valuable aurora spectral data.
Effective Three-Stage Demosaicking Method for RGBW CFA Images Using The Iterative Error-Compensation Based Approach
Authors: Chung Kuo-Liang , Chan Tzu-Hsien , Chen Szu-Ni
Published: July 2020

As the color filter array (CFA)2.0, the RGBW CFA pattern, in which each CFA pixel contains only one R, G, B, or W color value, provides more luminance information than the Bayer CFA pattern. Demosaicking RGBW CFA images I R G B W is necessary in order to provide high-quality RGB full-color images as the target images for human perception. In this letter, we propose a three-stage demosaicking method for I R G B W . In the first-stage, a cross shape-based color difference approach is proposed in order to interpolate the missing W color pixels in the W color plane of I R G B W . In the second stage, an iterative error compensation-based demosaicking process is proposed to improve the quality of the demosaiced RGB full-color image. In the third stage, taking the input image I R G B W as the ground truth RGBW CFA image, an I R G B W -based refinement process is proposed to refine the quality of the demosaiced image obtained by the second stage. Based on the testing RGBW images that were collected from the Kodak and IMAX datasets, the comprehensive experimental results illustrated that the proposed three-stage demosaicking method achieves substantial quality and perceptual effect improvement relative to the previous method by Hamilton and Compton and the two state-of-the-art methods, Kwan et al.’s pansharpening-based method, and Kwan and Chou’s deep learning-based method.
“The Voice of the Parent Cannot be Undervalued”: Pre-Service Teachers’ Observations after Listening to the Experiences of Parents of Students with Disabilities
Authors: Koch Katherine A.
Published: July 2020

The purpose of this qualitative research was to consider the influence of parent interaction on the perspectives of pre-service teachers with regards to their interactions with and instruction of students with disabilities. The data set for this research was 106 reflection papers written as part of a class assignment after the pre-service teachers participated in a discussion panel with parents of children with disabilities. The pre-service teachers were asked to reflect on things they learned after listening to the parents and how they would use that information in their future interactions with parents when they had their own classrooms. The findings suggest that listening to the parents’ experience from the parents themselves had an impact on the pre-service teachers and would positively influence their future interactions. Recommendations to improve opportunities for parent exposure in teacher-education programs are provided.
Application of the EFQM Model to Assess the Readiness and Sustainability of the Implementation of I4.0 in Slovakian Companies
Authors: Turisova Renata , Sinay Juraj , Pacaiova Hana , Kotianova Zuzana , Glatz Juraj
Published: July 2020

The fourth industrial revolution (I4.0) is expected to increase quality, efficiency, availability, sustainability, the reduction of costs, the demand for energy and environment, and mainly increase the level of occupational health and safety (OHS). New procedures or paradigms of this revolution deflect from already used standards and create an assumption for building the exceptionality of organizations. The main idea of the performed research was to assess how managers in the Slovak industry perceive the readiness of organizations for the implementation of I4.0. The aim of this study, applied in 53 companies, was to assess two areas: the integration level of complex safety into management systems; and the impact of digitalization on OHS. The applied methodology was based on a modified EFQM (European Foundation for Quality Management) exceptionality model. Answers were transformed into numeric figures using a so-called spider web diagram. In the conclusion of this article, there are described interesting differences in the two mentioned areas based on the perception of both top management and the estimation of the readiness degree of the Slovak organizations for I4.0 concept.
Hardiness, Stress and Secondary Trauma in Italian Healthcare and Emergency Workers during the COVID-19 Pandemic
Authors: Vagni Monia , Maiorano Tiziana , Giostra Valeria , Pajardi Daniela
Published: July 2020

Emergency situations such as the COVID-19 pandemic can lead healthcare and emergency workers to undergo severe stress reactions that increase the risk of developing secondary trauma. Hardiness is a protective factor that reduces the likelihood of negative outcomes such as secondary trauma. In this study, we analyzed the responses to physical, emotional, cognitive, organizational‒relational and COVID-19 stress of 140 healthcare and 96 emergency workers. Decision-making difficulties due to high uncertainty and the fear of contracting the virus and infecting others were also considered. We aimed to detect which stressors caused secondary trauma and to assess the protective power of hardiness. Participants completed the questionnaire online measuring stress, secondary trauma and resilience. We performed a t-test, correlational analysis and hierarchical regression. The healthcare workers had higher levels of stress and arousal than the emergency workers group and those involved in the treatment of COVID-19 were exposed to a large degree of stress and were at high risk of developing secondary trauma. Commitment is associated with high levels of stress, arousal and intrusion, while control shows a protective function. Stress and hardiness result in 37% and 17% of the variance of arousal and intrusion, respectively.
Housing Workers’ Evaluations of Residential Environmental Quality in South Korean Welfare Housing for Low-Income, Single-Parent Families
Authors: Cho Minjung
Published: July 2020

This study evaluates the spatial conditions of the residential environment in welfare housing built for low-income, single-parent (LISP) families in South Korea to reveal the significant residential environmental (RE) design criteria concerning housing quality and family well-being. The primary data were analyzed by surveying 30 housing directors from 29 welfare residences, in conjunction with facility visits and interviews. The survey data were supplemented by interviewing 11 stakeholders, including government institute officials, project architects, and former residents who exited the program. A statistical analysis examined the RE quality in relation to building and resident features. Most respondents reported insufficient physical quality, specifically due to inappropriate units in size and number; poor indoor noise control; and substandard unit rooms, children’s rooms, and outdoor spaces. Furthermore, adequate rooms, family privacy, and a pleasant indoor environment (i.e., noise barrier, thermal comfort) were the most critical spatial design criteria. Particularly, the aforementioned housing environmental attributes were found to be different depending on a building’s construction year and type, householder type and age, and children’s age. Practical and methodological implications and future research directions are discussed to elevate the housing quality and sustainable well-being in welfare housing.
A Study on the Deduction and Diffusion of Promising Artificial Intelligence Technology for Sustainable Industrial Development
Authors: Lee Hong Joo , Oh Hoyeon
Published: July 2020

Based on the rapid development of Information and Communication Technology (ICT), all industries are preparing for a paradigm shift as a result of the Fourth Industrial Revolution. Therefore, it is necessary to study the importance and diffusion of technology and, through this, the development and direction of core technologies. Leading countries such as the United States and China are focusing on artificial intelligence (AI)’s great potential and are working to establish a strategy to preempt the continued superiority of national competitiveness through AI technology. This is because artificial intelligence technology can be applied to all industries, and it is expected to change the industrial structure and create various business models. This study analyzed the leading artificial intelligence technology to strengthen the market’s environment and industry competitiveness. We then analyzed the lifecycle of the technology and evaluated the direction of sustainable development in industry. This study collected and studied patents in the field of artificial intelligence from the US Patent Office, where technology-related patents are concentrated. All patents registered as artificial intelligence technology were analyzed by text mining, using the abstracts of each patent. The topic was extracted through topic modeling and defined as a detailed technique. Promising/mature skills were analyzed through a regression analysis of the extracted topics. In addition, the Bass model was applied to the promising technologies, and each technology was studied in terms of the technology lifecycle. Eleven topics were extracted via topic modeling. A regression analysis was conducted to identify the most promising/mature technology, and the results were analyzed with three promising technologies and five mature technologies. Promising technologies include Augmented Reality (AR)/Virtual Reality (VR), Image Recognition and Identification Technology. Mature technologies include pattern recognition, machine learning platforms, natural language processing, knowledge representation, optimization, and solving. This study conducts a quantitative analysis using patent data to derive promising technologies and then presents the objective results. In addition, this work then applies the Bass model to the promising artificial intelligence technology to evaluate the development potential and technology diffusion of each technology in terms of its growth cycle. Through this, the growth cycle of AI technology is analyzed in a complex manner, and this study then predicts the replacement timing between competing technologies.
Performance of an Adsorptive Heat-Moisture Regenerator Based on Silica Gel–Sodium Sulphate
Authors: Belyanovskaya Elena , Rimár Miroslav , Lytovchenko Roman D. , Variny Miroslav , Sukhyy Kostyantyn M. , Yeromin Oleksandr O. , Sykhyy Mikhailo P. , Prokopenko Elena M. , Sukha Irina V. , Gubinskyi Mikhailo V. , Kizek Ján
Published: July 2020

The performance of an adsorptive heat-moisture regenerator based on a silica gel–sodium sulphate composite adsorbent was studied. The correlation between the adsorbent composition and structural characteristics of the laboratory-scale device was investigated. An algorithm for the calculation of the efficiency factors of the adsorptive regenerator was further developed. The suggested algorithm calculates the operational parameters, including the temperatures, humidities and volumetric flows of internal and external air, and estimates the regenerator’s performance via temperature and moisture efficiency factors, total adsorption and time needed to achieve maximum adsorption, air pressure loss and fan power input. The validity of the calculation results obtained using the proposed algorithm was confirmed experimentally. Temperature efficiency factor, air pressure loss and fan power consumption are crucial parameters for the estimation of the optimal operating regime of an adsorptive heat-moisture regenerator. The correlation between meteorological conditions and efficiency factors was assessed and applied in a simulation of residential house-scale air conditioning unit operation. Maximal values of temperature efficiency factor were found at internal and external air temperatures of 15 to 20 °C and −5 to 0 °C, respectively. Moisture efficiency factors were observed to reach their maximum at the absolute humidities of external and internal air of 4.0 to 5.0 g/m3 and 2.75 to 3.0 g/m3, respectively. The fan power consumption of the adsorptive heat-moisture regenerator was found to be comparable to or even lower than that of commercial air conditioning units used in comparably voluminous interiors.