bluuebunny/crossref_metadata_2025 huggingface dataset:
The Potential of Smart Factories and Innovative Industry 4.0 Technologies—A Case Study of Different-Sized Companies in the Furniture Industry in Central Europe
Authors: Červený Luboš , Sloup Roman , Červená Tereza
Published: December 2022

New innovative technologies of Industry 4.0 are the key to the future development of the furniture industry, which is outdated because of its atypical production and small-series production. For applying the novel trends of Industry 4.0 to the furniture sector, the methodical support of managers, the key users of these technologies, is essential. As there is a lack of knowledge regarding implementation of Industry 4.0, this study focuses on the evaluation of the current status of furniture companies in terms of production structure and Industry 4.0 benefits/threats with the aim of proposing methodological solutions for the implementation of this trend across different-sized enterprises. Data are collected using conduct-structured interviews with project managers who describe their own experience with Industry 4.0 implementation in central Europe. All interviews are analyzed using qualitative content analysis. According to the stakeholders, innovative production and non-production technologies are essential for their enterprises. Application of such technologies increases the efficiency of the whole operation by 30%–50% over the five years since the first innovations were introduced, especially in enterprises with atypical production and large enterprises. This study should serve as the tool for adapting the environmental changes and promoting the innovation approaches of the Industry 4.0 strategies on the central European level.
Evaluation of Undergrowth under the Canopy of Deciduous Forests on Very Fertile Soils in the Lithuanian Hemiboreal Forest
Authors: Šilingas Marius , Suchockas Vytautas , Varnagirytė-Kabašinskienė Iveta
Published: December 2022

In the hemiboreal forest zone, the first-generation natural forests of Betula spp., Populus tremula L., and Alnus incana (L.) Moench, which develop after clearcutting on very fertile forest sites, change to deciduous hardwood forests (Quercus robur L., and Fraxinus excelsior L.) due to successive processes. These processes also cause a specific response to the development of undergrowth species, which can have a decisive influence on forest regeneration. The undergrowth species in the mature Betula spp. (Betula pendula Roth. And Betula pubescens Ehrh.), Populus tremula, and Alnus incana forest stands were evaluated to provide knowledge on undergrowth species composition and development under different soil conditions, and to identify the forest stand age’s impact on undergrowth species. The evaluation was based on the standwise forest inventory data and limited to the analysis of pioneer tree species forests usually developed as first-generation natural forests after clearcutting. The study results showed that deciduous forests have rich undergrowth species diversity with a dominance of the Corylus avellana L., Padus avium L., Frangula alnus Mill., Sorbus aucuparia L., and Salix spp., which are typical undergrowth species in the hemiboreal forest zone. The dense and medium density undergrowth with the predominant Corylus avellana was rather common in the Betula spp. and Populus tremula stands; and Padus avium was more abundant in the Alnus incana stands on very fertile sites. Larger areas with dense undergrowth were obtained in the low mixed and mixed Alnus incana stands than in the pure stands, while no clear relationship between the stand mixture and undergrowth density was obtained in the Betula spp. and Populus tremula stands. The area of Corylus avellana significantly increased, while the area of Padus avium decreased in all studied forests with increasing stand age. Other dominant undergrowth species–Sorbus aucuparia, Frangula alnus, and Salix spp.–decreased with increasing age of the Betula spp. and Populus tremula stands. In the context of biodiversity, a higher number of undergrowth species was obtained in the mixed Betula spp. stands than in the pure and low mixed stands. New insights about the undergrowth species and their development patterns under the canopy of pioneer deciduous forests on very fertile soils were provided. However, these findings do not strongly suggest that an unmanaged forest regime wins over conventional forest management in mature and older deciduous forests on fertile soils as regards the biodiversity and other ecological services provided by the undergrow species.
Changing Spring Phenology of Northeast China Forests during Rapid Warming and Short-Term Slowdown Periods
Authors: Zhang Fengyuan , Liu Binhui , Henderson Mark , Shen Xiangjin , Su Yuanhang , Zhou Wanying
Published: December 2022

The vast forests of Northeast China are under great pressure from climate change. Understanding the effects of changing climate conditions on spring phenology is of great significance to assessing the stability of regional terrestrial ecosystems. Using Normalized Difference Vegetation Index data from 1982 to 2013, this paper investigated the changes in the start date of the vegetation growing season (SOS) of two main forest types in Northeast China, analyzing the changes in temporal and spatial patterns of forest spring phenology before and during the recent short-term warming slowdown, and exploring the effects of day and night temperatures and precipitation on the start of the growing season. The results showed that, during the rapid warming period (1982–1998), the SOS of deciduous needleleaf forests (DNF) was significantly advanced (−0.428 days/a, p < 0.05), while the rate of advance of SOS of deciduous broadleaf forests (DBF) was nonsignificant (−0.313 days/a, p > 0.10). However, during the short-term slowdown (1998–2013), the SOS of DBF was strongly delayed (0.491 days/a, p < 0.10), while the change in SOS of DNF was not significant (0.169 days/a, p > 0.10). The SOS was sensitive to spring maximum temperature for both forest types during the analysis period. Increases in winter precipitation influenced the SOS during the rapid warming period for DNF; this combined with the increase in the spring maximum temperature contributed to the advance in SOS. The decrease in the spring maximum temperature during the short-term slowdown, combined with a decrease in the previous summer maximum temperature, contributed to the rapid delay of SOS for DBF. DBF SOS was also more influenced by lagged effects of prior conditions, such as previous autumn to spring precipitation during the rapid warming period and previous summer maximum temperature during the short-term slowdown. In general, SOS was mainly determined by changes in daytime thermal conditions; DNF is more sensitive to temperature increases and DBF is more sensitive to decreases. Different regional climate conditions lead to differences in the distribution of DNF and DBF, as well as in the response of SOS to climate change during the rapid warming and short-term slowdown periods.
Testing the Efficiency of the Push-and-Pull Strategy during Severe Ips typographus Outbreak and Extreme Drought in Norway Spruce Stands
Authors: Jakuš Rastislav , Modlinger Roman , Kašpar Jaroslav , Majdák Andrej , Blaženec Miroslav , Korolyova Nataliya , Jirošová Anna , Schlyter Fredrik
Published: December 2022

Protection of Norway spruce stands using anti-attractants was tested during an outbreak of bark beetles (Ips typographus) in their spring flight. The aims of this study were as follows: (1) to test the proposed experimental design for tree protection; (2) to evaluate height-specific alternatives for dispenser installation on trees; and (3) to evaluate the efficiency of tree protection measures using anti-attractants under bark beetle infestation and drought stress. The experiment was conducted at the forest edges adjacent to recent clearcuts on 10 blocks in the eastern Czech Republic. Each block had three adjacent experimental areas, with 20 trees growing in two rows at the recently cut forest edge (10 trees per row). In front of a block in each of the three areas, four pheromone traps were installed. The treatment area was protected by anti-attractants. The second area served as a so-called switch area, where beetles from the treatment area, as the outflux redirected from the anti-attractant, would start new attacks if not caught in nearby pheromone traps. The third area was a control. We attached anti-attractant tube dispensers on each tree trunk of the treated area at two heights. The results suggest a redirecting effect of anti-attractants, pushing beetles into the switch area and causing subsequent attacks, which was greater than in areas containing treated trees. There was no difference between two dispensers placed at 1 and 8 m height and both at 1 m. A switching effect of beetle attacks occurring outside of the treated areas was observed. Mounting anti-attractant dispensers on tree trunks at one low position above the ground can be substantially less labour-intensive and as efficient as positioning them at two different heights. For areas affected by severe drought and extremely dense bark beetle populations, the use of anti-attractants did not prove effective.
Exploring the Spatial and Temporal Changes of Carbon Storage in Different Development Scenarios in Foshan, China
Authors: Chen Lihua , Ma Yuan
Published: December 2022

Carbon storage (CS) is strongly associated with climate change and ecosystem services. Herein, taking Foshan City, Guangdong Province, China as the study object, analysis was performed upon the potential impacts of the urban–rural relationship of CS by combining the Integrated Assessment of Ecosystem Services and Trade-offs (InVEST) and the Patch Generation Land-use Simulation (PLUS) models. Based on three different development plans under regional policies, land-use/ land-cover (LULC) changes in Foshan City in 2035 were simulated. The results show that (i) Foshan City experienced rapid urban expansion from 2010 to 2020 spreading from the central area to the outer circle in a cascading manner. Urban land use mainly encroached on ecological land during these 10 years. (ii) The CS in Foshan City from 2010 to 2020 showed an increase followed by a decrease, and the simulations estimated a continuous loss of the CS in Foshan City by 2035. (iii) There was spatial heterogeneity in the CS changes in Foshan. From 2010 to 2020, the northern part of Sanshui District and the eastern part of Chancheng District experienced the greatest economic loss of CS. The carbon loss will further increase in future development scenarios. This research can provide vital references for government administrators to formulate valid development patterns and ecological conservation strategies.
Soil Chemical Properties Strongly Influence Distributions of Six Kalidium Species in Northwest China
Authors: Liu Decheng , Chang Zongqiang , Liang Xiaohui , Wu Yuxia
Published: December 2022

The degrees of adaptive responses of different halophytes to saline–alkali soil vary substantially. Kalidium (Amaranthaceae), a genus comprised of six species of succulent euhalophytes with significantly differing distributions in China, provides ideal material for exploring the ecophysiological relationships involved in these variations. Thus, in a large-scale field survey in 2014–2018, samples of soil (at 20 cm depth intervals spanning 0 to 100 cm) and seeds were collected from areas where these six species are naturally distributed. Chemical properties of soils in the areas and germinability of the species’ seeds in media with 0–500 mM NaCl and 0–250 mM Na2SO4 were then analyzed to test effects of salinity-related factors on the species’ distributions. The pH of the soil samples mainly ranged between 8.5 and 10.5 and positively correlated with their mean total salt contents. Germination rates of all six species’ seeds were negatively correlated with concentrations of NaCl and Na2SO4 in the media, and their recovery germination rates in distilled water were high (>74%). The results show that the species’ distributions and chemical properties of their saline soils are strongly correlated, notably the dominant cation at all sites is Na+, but the dominant anions at K. cuspidatum and K. caspicum sites are Cl− and SO42−, respectively. Species-associated variations in concentrations of Ca2+ were also detected. Thus, our results provide clear indications of major pedological determinants of the species’ geographic ranges and strong genotype-environment interactions among Kalidium species.
Challenges Facing the Improvement of Forest Management in the Hyrcanian Forests of Iran
Authors: Goushehgir Zahra , Feghhi Jahangir , Innes John L.
Published: December 2022

We address two main challenges facing the implementation of sustainable forest management (SFM) in the Hyrcanian forest of Iran: inconsistent forest policy and the use of outdated science and techniques. We propose the Sustainable Hyrcanian Forest Management Model (SHFMM) as the best currently available solution to achieve improved management of the northern forests of Iran. The management of the Hyrcanian forests suffers from a lack of scientific knowledge and state-of-the-art technologies. There is a pronounced difference in the mindsets of older and new-school forestry scholars regarding how to approach these deficiencies: the old-school mentality prefers conventional forestry despite its limitations, whereas more recently trained scholars believe that the adoption of 21st-century technological advances would lead to improved management. The lack of trust between policymakers and local communities is another significant challenge and has resulted in conflicts over management practices in the Hyrcanian forests. We suggest that the Hyrcanian Sustainable Forest management model (SHFMM) would provide a hierarchical framework for making decisions. Using this model, each sector—whether state or private—is empowered to make decisions. Further, it encourages all sectors to work together in its holistic implementation. The SHFMM is based on the outcomes of several independent studies of forest management in the Hyrcanian forest. Despite its site specificity, many lessons learned during its development could be applied elsewhere.
Biochar-Based Fertilizer Decreased Soil N2O Emission and Increased Soil CH4 Uptake in a Subtropical Typical Bamboo Plantation
Authors: Wang Enhui , Yuan Ning , Lv Shaofeng , Tang Xiaoping , Wang Gang , Wu Linlin , Zhou Yufeng , Zhou Guomo , Shi Yongjun , Xu Lin
Published: December 2022

Soil is a crucial contributor to greenhouse gas (GHG) emissions from terrestrial ecosystems to the atmosphere. The reduction of GHG emissions in plantation management is crucial to combating and mitigating global climate change. A 12-month field trial was conducted to explore the effects of different fertilization treatments (control, without fertilizer (CK); biochar-based fertilizer treatment (BFT); chemical fertilizer treatment (CFT); and mixture of 50% BFT and 50% CFT (MFT)) on the soil GHG emissions of a typical bamboo (Pleioblastus amarus (Keng) Keng f.) plantation. The results demonstrated that compared with the CK, BFT reduced the annual cumulative soil N2O emission by 16.3% (p < 0.01), while CFT and MFT significantly increased it by 31.0% and 23.3% (p < 0.01), respectively. Meanwhile, BFT and MFT increased the annual cumulative soil CH4 uptake by 5.8% (p < 0.01) and 7.5% (p < 0.01), respectively, while there was no statistically significant difference between CFT and the control. In addition, BFT, CFT, and MFT significantly increased the annual cumulative soil CO2 emission by 9.4% (p < 0.05), 13.0% (p < 0.01), and 26.5% (p < 0.01). The global warming potential (GWP) of BFT did not change significantly, while CFT and MFT increased the GWP by 13.7% (p < 0.05) and 28.6% (p < 0.05), respectively, compared with the control. Structural equation modeling revealed different treatments affected soil N2O and CH4 emission by changing soil labile carbon and labile nitrogen pools. This study suggests utilizing BFT new ideas and strategies for mitigating GHG emissions from soils in subtropical Pleioblastus amarus plantations.
Research on a Regional Landslide Early-Warning Model Based on Machine Learning—A Case Study of Fujian Province, China
Authors: Liu Yanhui , Huang Junbao , Xiao Ruihua , Ma Shiwei , Zhou Pinggen
Published: December 2022

China’s landslide disasters are serious, and regional landslide disaster early-warning is one of the important means of disaster prevention and mitigation. The traditional regional landslide disaster early-warning model, however, is limited by the complex landslide induction mechanism, limited data accumulation, and insufficient big data analysis methods, and has problems such as limited early-warning accuracy and insufficient refinement. In this paper, a machine learning method was introduced into the field of regional landslide disaster warning. From the model construction process of training sample-set construction, sample learning and training, model parameter optimization, model preservation, warning output, and so on, a method for constructing a regional landslide early-warning model based on machine learning was systematically proposed. In the sample learning and training, 80% of the training sample-set was used as the training set, and 20% was used as the test set for five-fold cross validation. The Bayesian Optimization algorithm was used to optimize the model parameters, and the accuracy, ROC curve, and AUC value were used to verify the model accuracy and model generalization ability. With China’s Fujian province as an example, based on nine years of geological and meteorological data (2010–2018), geological environment factors, factors of hazard-affected bodies and historical disaster situations, and rainfall-induced factors in four categories, a total of 26 indicators were used as input characteristic parameters. Six machine learning algorithms were adopted to improve model training; the results showed that the Random Forest algorithm performed the best, giving an accuracy of 92.3%, and was the model with the best generalization ability (AUC was 0.955). The second best was the Artificial Neural Network model, with an accuracy of 0.937 and an AUC of 0.935. Next were the Nearest Neighbor model, the Logistic Regression model, and the Support Vector Machine; the poorest results were from the Decision Tree model. Finally, the typical rainfall-type landslide disaster process in Fujian Province was selected as an example to verify the Random Forest algorithm model. The results showed that compared with the early-warning results of the original explicit statistical model, the hit rate of the new model was 6 times, or equal to that of the original model, and the landslide density in the early-warning area of the new model was 1.6–1.7 times that of the original model. Preliminary verification showed that the new model based on the Random Forest method has obvious advantages, a higher hit rate and a smaller warning area, and can achieve more accurate warnings. The follow-up will continue to track the new landslide disaster situation in the study area and carry out model verification and correction.
A Multi-Sensory In-Store Virtual Reality Customer Journey for Retailing: A Field Study in a Furniture Flagship Store
Authors: Fiorentino Michele , Ricci Marina , Evangelista Alessandro , Manghisi Vito Modesto , Uva Antonio Emmanuele
Published: December 2022

The choice of furniture in a retail store is usually based on a product catalog and simplistic product renderings with different configurations. We present a preliminary field study that tests a Multi-Sensory In-Store Virtual Reality Customer Journey (MSISVRCJ) through a virtual catalog and a product configurator to support furnishings sales. The system allows customers to stay immersed in the virtual environment (VE) while the sales expert changes the colors, textures, and finishes of the furniture, also exploring different VEs. In addition, customers can experience realistic tactile feedback with in-store samples of furniture they can test. The journey is implemented for a furniture manufacturer and tested in a flagship store. Fifty real customers show positive feedback in terms of general satisfaction, perceived realism, and acceptance. This method can increase purchase confidence, reduce entrepreneurial costs, and leverage in-store versus online shopping.
Single-Shot Global and Local Context Refinement Neural Network for Head Detection
Authors: Hu Jingyuan , Yang Zhouwang
Published: December 2022

Head detection is a fundamental task, and it plays an important role in many head-related problems. The difficulty in creating the local and global context in the face of significant lighting, orientation, and occlusion uncertainty, among other factors, still makes this task a remarkable challenge. To tackle these problems, this paper proposes an effective detector, the Context Refinement Network (CRN), that captures not only the refined global context but also the enhanced local context. We use simplified non-local (SNL) blocks at hierarchical features, which can successfully establish long-range dependencies between heads to improve the capability of building the global context. We suggest a multi-scale dilated convolutional module for the local context surrounding heads that extracts local context from various head characteristics. In comparison to other models, our method outperforms them on the Brainwash and the HollywoodHeads datasets.
Enhanced Anti-Freezing Heating Cable Standard for Fire Prevention
Authors: Jung Baek-Yong , Je Seung-Mo , Lee Hoon-Gi , Kim Hong-Sik , Park Jong-Young , Oh Bu-Yeol , Park Jung-Woo , Huh Jun-Ho , Lee Jae-Hun
Published: December 2022

Among the fire reports caused by seasonal devices registered with the Korea Fire Information Center in 2021, fires caused by heating cables accounted for the largest portion with 350 cases. As a result of analyzing the heating cable fires from 2015 to 2021, we have classified the heating cable fires into four types according to the method of winding the heating wire. First, we hypothesized that the temperature is high when the density is high due to the overlap of the hot wires or when there is a thermal insulating material. We predicted that the temperature would rise through a random game and established a reproducibility test plan. In order to check how heat generation changes depending on the winding method of antifreeze heating cables, we selected 10 manufacturers and checked the temperature characteristics according to the test conditions (Paragraph 11, Paragraph 19.101) of the Technical Regulations for Electrical and Telecommunication Products and Components of Korea (K 10013), tested the four methods mentioned in this thesis and compared and analyzed the results. The experiment results indicate that the temperature of the heater part in antifreeze heating cables was mostly higher than the conditions required by the existing standards in cases 1 to 4. In particular, in the case of No. 5 manufacturer’s sample, the temperature of the heating cable of Case 1 was measured to be the highest at 119.0 °C. In addition, as a result of applying the data engineering reproducibility test results in the framework of the random game λ proposed in this thesis, we have derived the same results as the predicted hypothesis. Case 1 refers to the case where a fire occurs due to the heating cable being wrapped around the water pipe and insulation or taped outside; It is one of the methods that users actually use a lot in the field. Based on experiment, we have concluded that the fire risk is high under the Case 1 condition. Thus, the test conditions in the existing K 10013 Standard need to be strengthened according to the Case 1 condition.
Engineering the Thermostability of the Mono- and Diacylglycerol Lipase SMG1 for the Synthesis of Diacylglycerols
Authors: Li Lilang , Wang Yonghua , Cui Ruiguo , Wang Fanghua , Lan Dongming
Published: December 2022

Diacylglycerols (DAGs) display huge application prospectives in food industries. Therefore, new strategies to produce diacylglycerides are needed. Malassezia globose lipase (SMG1) could be used to synthesize DAGs. However, the poor thermostability of SMG1 seriously hampers its application. Herein, a rational design was used to generate a more thermostable SMG1. Compared with the wild type (WT), the M5D mutant (Q34P/A37P/M176V/G177A/M294R/ G28C-P206C), which contains five single-point mutations and one additional disulfide bond, displayed a 14.0 °C increase in the melting temperature (Tm), 5 °C in the optimal temperature, and 1154.3-fold in the half-life (t1/2) at 55 °C. Meanwhile, the specific activity towards DAGs of the M5D variant was improved by 3.0-fold compared to the WT. Molecular dynamics (MD) simulations revealed that the M5D mutant showed an improved rigid structure. Additionally, the WT and the M5D variants were immobilized and used for the production of DAGs. Compared with the WT, the immobilized M5D-catalyzed esterification showed a 9.1% higher DAG content and a 22.9% increase in residual activity after nine consecutive cycles. This study will pave the way for the industrial application of SMG1.
Phytochemical Profiling and Untargeted Metabolite Fingerprinting of the MEDWHEALTH Wheat, Barley and Lentil Wholemeal Flours
Authors: Romano Giuseppe , Del Coco Laura , Milano Francesco , Durante Miriana , Palombieri Samuela , Sestili Francesco , Visioni Andrea , Jilal Abderrazek , Fanizzi Francesco Paolo , Laddomada Barbara
Published: December 2022

An important research target is improving the health benefits of traditional Mediterranean, durum wheat-based foods using innovative raw materials. In this study, we characterised wholemeal flours obtained from a traditional durum wheat cv. Svevo, two innovative durum wheat varieties (Svevo-High Amylose and Faridur), the naked barley cv. Chifaa and the elite lentil line 6002/ILWL118/1-1, evaluating them for targeted phytochemicals, untargeted metabolomics fingerprints and antioxidant capacity. To this aim, individual phenolic acids, flavonoids, tocochromanols and carotenoids were identified and quantified through HPLC-DAD, and the antioxidant capacities of both the extracts and whole meals were detected by ABTS assays. An untargeted metabolomics fingerprinting of the samples was conducted through NMR spectroscopy. Results showed that the innovative materials improved phytochemical profiles and antioxidant capacity compared to Svevo. In particular, Svevo-HA and Faridur had higher contents of ferulic and sinapic acids, β-tocotrienol and lutein. Moreover, Chifaa is a rich source of phenolic acids, β-tocopherols, lutein and zeaxanthin whereas lentil of flavonoids (i.e., catechin and procyanidin B2). The NMR profiles of Svevo-HA and Faridur showed a significant reduction of sugar content, malate and tryptophan compared to that of Svevo. Finally, substantial differences characterised the lentil profiles, especially for citrate, trigonelline and phenolic resonances of secondary metabolites, such as catechin-like compounds. Overall, these results support the potential of the above innovative materials to renew the health value of traditional Mediterranean durum wheat-based products.
Bactericidal Effect and Associated Properties of Non-Electrolytic Hypochlorite Water on Foodborne Pathogenic Bacteria
Authors: Gao Xiangyu , Liu Xueqiang , He Jialin , Huang Hanbing , Qi Xiaoya , Hao Jianxiong
Published: December 2022

This study investigated the broad-spectrum bactericidal activity of non-electrolytic hypochlorite water (NEHW) and detected its hydroxyl radical content compared with that of slightly acidic electrolytic water (SAEW). Based on the results of UV scanning and storage stability, higher hypochlorite content and stronger oxidation were found to be responsible for the stronger bactericidal effect of NEHW. NEHW can achieve 99% bacterial disinfection effect by treating with 10 mg/L available chlorine concentration for more than 5 minutes. At the same time, the storage stability of NEHW was higher than that of SAEW. After 20 days of storage under sealed and dark conditions, the pH value only increased by 7.9%, and the effective chlorine concentration remained nearly 80%. The results showed that NEHW had higher germicidal efficacy and storage stability than SAEW.
The Loading of Epigallocatechin Gallate on Bovine Serum Albumin and Pullulan-Based Nanoparticles as Effective Antioxidant
Authors: Li Zikun , Wang Xiaohan , Zhang Man , He Hongjun , Liang Bin , Sun Chanchan , Li Xiulian , Ji Changjian
Published: December 2022

Due to its poor stability and rapid metabolism, the biological activity and absorption of epigallocatechin gallate (EGCG) is limited. In this work, EGCG-loaded bovine serum albumin (BSA)/pullulan (PUL) nanoparticles (BPENs) were successfully fabricated via self-assembly. This assembly was driven by hydrogen bonding, which provided the desired EGCG loading efficiency, high stability, and a strong antioxidant capacity. The encapsulation efficiency of the BPENs was above 99.0%. BPENs have high antioxidant activity in vitro, and, in this study, their antioxidant capacity increased with an increase in the EGCG concentration. The in vitro release assays showed that the BPENs were released continuously over 6 h. The Fourier transform infrared spectra (FTIR) analysis indicated the presence of hydrogen bonding, hydrophobic interactions, and electrostatic interactions, which were the driving forces for the formation of the EGCG carrier nanoparticles. Furthermore, the transmission electron microscope (TEM) images demonstrated that the BSA/PUL-based nanoparticles (BPNs) and BPENs both exhibited regular spherical particles. In conclusion, BPENs are good delivery carriers for enhancing the stability and antioxidant activity of EGCG.
Use of Pleurotus ostreatus to Enhance the Oxidative Stability of Pork Patties during Storage and In Vitro Gastrointestinal Digestion
Authors: Torres-Martínez Brisa del Mar , Vargas-Sánchez Rey David , Torrescano-Urrutia Gastón Ramón , González-Ávila Marisela , Rodríguez-Carpena Javier Germán , Huerta-Leidenz Nelson , Pérez-Alvarez José Angel , Fernández-López Juana , Sánchez-Escalante Armida
Published: December 2022

Lipid and protein oxidation are the major causes of meat quality deterioration. Edible mushrooms have been proposed as a strategy to prevent quality deterioration during cold storage. This study aimed to assess the effects of Pleurotus ostreatus powder (POP) on the oxidative stability of pork patties during cold storage and after in vitro gastrointestinal digestion (ivGD). Pork patties were subjected to four treatments: control (without antioxidant), T1 (2% POP, w/w) and T2 (5% POP, w/w), and T3 as positive control (0.02% BHT, fat basis). POP aqueous, ethanolic, and aqueous ethanol extract were subjected to phytochemical and antioxidant assays. Raw pork patties were subjected to a chemical proximate composition evaluation. At the same time, raw and cooked pork patties were stored at 2 °C for 9 days and subjected to meat quality measurements. Furthermore, the total antioxidant activity of cooked pork patties was determined after ivGD. Results showed that POP ethanol extract showed the highest polysaccharide, phenol, and flavonoid content, as well as antiradical and reducing power properties. POP incorporation into raw and cooked pork patties enhances meat quality traits, including pH, water-holding capacity, cooking-loss weight, texture, color, lipid, and protein oxidation (p < 0.05). Furthermore, incorporating POP into cooked samples increases the phytochemical content and antioxidant activity during ivGD. In conclusion, POP has great potential as a natural antioxidant for meat products.
Insight of Silkworm Pupa Oil Regulating Oxidative Stress and Lipid Metabolism in Caenorhabditis elegans
Authors: Zhao Lina , Wu Baoxiang , Liang Shuyun , Min Douyong , Jiang Hongrui
Published: December 2022

Silkworm pupa oil (SPO) contains unsaturated fatty acids, tocopherols, and phytosterols, which can regulate serum total cholesterol or be used as an antioxidant. In this study, we investigated the impacts of SPO on the antioxidant stress and lipid metabolism of Caenorhabditis elegans. The lifespan of the C. elegans fed with different SPO concentrations was determined. The levels of endogenous reactive oxygen species (ROS) were analyzed with the fluorescent probe method. The activity of antioxidant enzymes and the content of malondialdehyde (MDA) were analyzed. The transcription level of specific mRNA was characterized with q-PCR. The survival time of the mutant strain under oxidative stress was determined by daf-2 (CB1370) mutant, sod-3 (GA186) mutant, and skn-1 (EU31) mutant. As for the lipid metabolism, the lipid accumulation was determined with an Oil-Red-O (ORO) staining. The transcription level of specific mRNA was determined by q-PCR. The results showed that the SPO feeding enhanced the activities of antioxidant enzyme by upregulating the expression of the genes skn-1, and sod-3 to decrease the production of ROS and MDA, which prolonged the life of nematodes treated with juglone. ORO staining analysis indicated the feeding of SPO decreased intestinal fat accumulation, downregulated expression of fat-5, fat-6, fat-7, and nhr-80, and upregulated age-1 and tph-1 expression. Conclusively, SPO enhanced the antioxidant capacity by regulating the skn-1 and sod-3 expression of antioxidant gene and reducing the fat accumulation by the insulin/IGF signaling pathway and nuclear hormone receptor nhr-80 signaling pathway of nematodes. This study provides new evidence for the antioxidant and lipid-lowering mechanisms of SPO in C. elegans.
Nutritional Quality of Gluten-Free Bakery Products Labeled Ketogenic and/or Low-Carb Sold in the Global Market
Authors: Gasparre Nicola , Pasqualone Antonella , Mefleh Marina , Boukid Fatma
Published: December 2022

Gluten-free and ketogenic bakery products are gaining momentum. This study aims to develop a better understanding of the nutritional quality of gluten-free bakery products labeled ketogenic and/or low-carb. For this reason, the products available on the global market that were labeled ketogenic and/or low-carb (n = 757) were retrieved and compared to standard gluten-free products (n = 509). Overall, nutritionally, no significant differences were found among ketogenic and/or low-carb products due the high intra-variability of each type, but they differed from standard products. Compared to standard products, all ketogenic and/or low carb, irrespective of categories, showed lower carbohydrates that derived chiefly from fibers and, to a lesser extent, from sugars. They also had higher protein contents (p < 0.05) compared to standard products. Fats was higher (p < 0.05) in ketogenic and/or low-carb baking mixes, savory biscuits, and sweet biscuits than in their standard counterparts. Saturated fats were higher (p < 0.05) in low-carb savory biscuits and breads, as well as in ketogenic sweet biscuits than in the same standard products. Overall, median values of the nutrients align with the definition of the ketogenic diet. Nevertheless, several products did not align with any of the ketogenic definitions. Therefore, consumers need to carefully read the nutritional facts and not rely on mentions such as low-cab and ketogenic to make their decision of purchase/consumption.
Food Toxicology and Food Safety: Report of the 3rd International Electronic Conference on Foods: Food, Microbiome, and Health—A Celebration of the 10th Anniversary of Foods’ Impact on Our Wellbeing
Authors: Lachenmeier Dirk W. , Oliveira Paula A. , Fabiszewska Agata Urszula , Soares Cristina Maria Dias , Kim Jong H.
Published: December 2022

The purpose of the conference session summarized in this article was to bring together international experts on food toxicology and food safety and share the current scientific knowledge on these topics. The presentations covered a wide range of interdisciplinary issues, including (i) the impact of diet on body weight and health outcomes including results from animal models of carcinogenesis, (ii) methods for microbial oil extraction, (iii) food processing and its impact on food safety and health, (iv) novel compounds to avoid mycotoxin contamination of agricultural products, and (v) the safety of cannabidiol in food supplements based on Cannabis sativa extracts. Some of the conclusions of the presentations included that correct food choices may impact on the risk of non-communicable diseases such as cancer, that food processing may have an influence on health, by either reducing or increasing risks, and that research regarding novel compounds is important, which may have preventive but also detrimental effects on health.
Coupled Gold Nanoparticles with Aptamers Colorimetry for Detection of Amoxicillin in Human Breast Milk Based on Image Preprocessing and BP-ANN
Authors: Ye Ziqian , Du Jinglong , Li Keyu , Zhang Zhilun , Xiao Peng , Yan Taocui , Han Baoru , Zuo Guowei
Published: December 2022

Antibiotic residues in breast milk can have an impact on the intestinal flora and health of babies. Amoxicillin, as one of the most used antibiotics, affects the abundance of some intestinal bacteria. In this study, we developed a convenient and rapid process that used a combination of colorimetric methods and artificial intelligence image preprocessing, and back propagation-artificial neural network (BP-ANN) analysis to detect amoxicillin in breast milk. The colorimetric method derived from the reaction of gold nanoparticles (AuNPs) was coupled to aptamers (ssDNA) with different concentrations of amoxicillin to produce different color results. The color image was captured by a portable image acquisition device, and image preprocessing was implemented in three steps: segmentation, filtering, and cropping. We decided on a range of detection from 0 µM to 3.9 µM based on the physiological concentration of amoxicillin in breast milk and the detection effect. The segmentation and filtering steps were conducted by Hough circle detection and Gaussian filtering, respectively. The segmented results were analyzed by linear regression and BP-ANN, and good linear correlations between the colorimetric image value and concentration of target amoxicillin were obtained. The R2 and MSE of the training set were 0.9551 and 0.0696, respectively, and those of the test set were 0.9276 and 0.1142, respectively. In prepared breast milk sample detection, the recoveries were 111.00%, 98.00%, and 100.20%, and RSDs were 6.42%, 4.27%, and 1.11%. The result suggests that the colorimetric process combined with artificial intelligence image preprocessing and BP-ANN provides an accurate, rapid, and convenient way to achieve the detection of amoxicillin in breast milk.
The Ability of the Yeast Wickerhamomyces anomalus to Hydrolyze Immunogenic Wheat Gliadin Proteins
Authors: Méndez Paula Xiomara , Uña José Antonio , Vega-Fernández Soledad , Santos María Ángeles
Published: December 2022

Gliadins proteins make up around 30% of total wheat flour proteins. They are involved in many immune disorders affecting an increasing number of people who eat foods made with wheat flour. The triggering factor is the accumulation in the gut of immunogenic peptides derived from incomplete degradation of gliadins by gastric proteases. Previous research has revealed the effectiveness of sourdough-fermentation technology or related lactic acid bacteria in reducing wheat flour allergenic proteins. However, there are no single yeast cultures for producing reduced allergenicity wheat products. This study evaluated sourdough-related yeast Wickerhamomyces anomalus strains for their ability to hydrolyze gliadin proteins. All yeast strains were able to degrade gliadins and use them as carbon and nitrogen sources. The proliferation of the yeast strains depended on the gliadin addition; complete hydrolysis was observed after 24 h. The strain showing higher proteolytic activity fermented, acceptably wheat flour dough. The gliadin content of the leavened dough was reduced by 50%. Bread made from the W. anomalus-fermented dough showed a 78% reduction in immunogenic α-gliadins. 50% of the decrease was attributed to the proteolytic activity of the yeast cells, and the other 35% to the baking process. These results show the potential of the yeast W. anomalus as a starter for reducing immunogenicity wheat products.
Structural Transitions of Alpha-Amylase Treated with Pulsed Electric Fields: Effect of Coexisting Carrageenan
Authors: Li Junzhu , Zhang Jiayu , Li Chen , Huang Wenjing , Guo Cheng , Jin Weiping , Shen Wangyang
Published: December 2022

Pulsed electric field (PEF) is an effective way to modulate the structure and activity of enzymes; however, the dynamic changes in enzyme structure during this process, especially the intermediate state, remain unclear. In this study, the molten globule (MG) state of α-amylase under PEF processing was investigated using intrinsic fluorescence, surface hydrophobicity, circular dichroism, etc. Meanwhile, the influence of coexisting carrageenan on the structural transition of α-amylase during PEF processing was evaluated. When the electric field strength was 20 kV/cm, α-amylase showed the unique characteristics of an MG state, which retained the secondary structure, changed the tertiary structure, and increased surface hydrophobicity (from 240 to 640). The addition of carrageenan effectively protected the enzyme activity of α-amylase during PEF treatment. When the mixed ratio of α-amylase to carrageenan was 10:1, they formed electrostatic complexes with a size of ~20 nm, and carrageenan inhibited the increase in surface hydrophobicity (<600) and aggregation (<40 nm) of α-amylase after five cycles of PEF treatment. This work clarifies the influence of co-existing polysaccharides on the intermediate state of proteins during PEF treatment and provides a strategy to modulate protein structure by adding polysaccharides during food processing.
Functional Fermented Milk with Fruit Pulp Modulates the In Vitro Intestinal Microbiota
Authors: Borgonovi Tais Fernanda , Salgaço Mateus Kawata , Oliveira Gislane Lelis Vilela de , Carvalho Lucas Amoroso Lopes de , Pinheiro Daniel Guariz , Todorov Svetoslav Dimitrov , Sivieri Kátia , Casarotti Sabrina Neves , Penna Ana Lúcia Barretto
Published: December 2022

The effect of putative probiotic fermented milk (FM) with buriti pulp (FMB) or passion fruit pulp (FMPF) or without fruit pulp (FMC) on the microbiota of healthy humans was evaluated. FM formulations were administered into a simulator of the human intestinal microbial ecosystem (SHIME®) to evaluate the viability of lactic acid bacteria (LAB), microbiota composition, presence of short-chain fatty acids (SCFA), and ammonium ions. The probiotic LAB viability in FM was affected by the addition of the fruit pulp. Phocaeicola was dominant in the FMPF and FMB samples; Bifidobacterium was related to FM formulations, while Alistipes was associated with FMPF and FMB, and Lactobacillus and Lacticaseibacillus were predominant in FMC. Trabulsiella was the central element in the FMC, while Mediterraneibacter was the central one in the FMPF and FMB networks. The FM formulations increased the acetic acid, and a remarkably high amount of propionic and butyric acids were detected in the FMB treatment. All FM formulations decreased the ammonium ions compared to the control; FMPF samples stood out for having lower amounts of ammonia. The probiotic FM with fruit pulp boosted the beneficial effects on the intestinal microbiota of healthy humans in addition to increasing SCFA in SHIME® and decreasing ammonium ions, which could be related to the presence of bioactive compounds.
Genome-Wide Identification and Expression Analysis of Kinesin Family in Barley (Hordeum vulgare)
Authors: Ye Zhaoshun , Yuan Zhen , Xu Huan , Pan Leiwen , Chen Jingsi , Gatera Anicet , Uzair Muhammad , Xu Dawei
Published: December 2022

Kinesin, as a member of the molecular motor protein superfamily, plays an essential function in various plants’ developmental processes. Especially at the early stages of plant growth, including influences on plants’ growth rate, yield, and quality. In this study, we did a genome-wide identification and expression profile analysis of the kinesin family in barley. Forty-two HvKINs were identified and screened from the barley genome, and a generated phylogenetic tree was used to compare the evolutionary relationships between Rice and Arabidopsis. The protein structure prediction, physicochemical properties, and bioinformatics of the HvKINs were also dissected. Our results reveal the important regulatory roles of HvKIN genes in barley growth. We found many cis- elements related to GA3 and ABA in homeopathic elements of the HvKIN gene and verified them by QRT-PCR, indicating their potential role in the barley kinesin family. The current study revealed the biological functions of barley kinesin genes in barley and will aid in further investigating the kinesin in other plant species.
Machine Learning Heuristics on Gingivobuccal Cancer Gene Datasets Reveals Key Candidate Attributes for Prognosis
Authors: Singh Tanvi , Malik Girik , Someshwar Saloni , Le Hien Thi Thu , Polavarapu Rathnagiri , Chavali Laxmi N. , Melethadathil Nidheesh , Sundararajan Vijayaraghava Seshadri , Valadi Jayaraman , Kavi Kishor P. B. , Suravajhala Prashanth
Published: December 2022

Delayed cancer detection is one of the common causes of poor prognosis in the case of many cancers, including cancers of the oral cavity. Despite the improvement and development of new and efficient gene therapy treatments, very little has been carried out to algorithmically assess the impedance of these carcinomas. In this work, from attributes or NCBI’s oral cancer datasets, viz. (i) name, (ii) gene(s), (iii) protein change, (iv) condition(s), clinical significance (last reviewed). We sought to train the number of instances emerging from them. Further, we attempt to annotate viable attributes in oral cancer gene datasets for the identification of gingivobuccal cancer (GBC). We further apply supervised and unsupervised machine learning methods to the gene datasets, revealing key candidate attributes for GBC prognosis. Our work highlights the importance of automated identification of key genes responsible for GBC that could perhaps be easily replicated in other forms of oral cancer detection.
Genetic Diversity and Population Structure Analysis of Castanopsis hystrix and Construction of a Core Collection Using Phenotypic Traits and Molecular Markers
Authors: Li Na , Yang Yuanmu , Xu Fang , Chen Xinyu , Wei Ruiyan , Li Ziyue , Pan Wen , Zhang Weihua
Published: December 2022

Castanopsis hystrix is a valuable native, broad-leaved, and fast-growing tree in South China. In this study, 15 phenotypic traits and 32 simple sequence repeat (SSR) markers were used to assess the genetic diversity and population structure of a natural population of C. hystrix and to construct a core germplasm collection by a set of 232 accessions. The results showed that the original population of C. hystrix had relatively high genetic diversity, with the number of alleles (Na), effective number of alleles (Ne), observed heterozygosity (Ho), expected heterozygosity (He), Shannon’s information index (I), and polymorphism information content (PIC) averaging at 26.188, 11.565, 0.863, 0.897, 2.660, and 0.889, respectively. Three sub-populations were identified based on a STRUCTURE analysis, indicating a strong genetic structure. The results from the phylogenetic and population structures showed a high level of agreement, with 232 germplasms being classified into three main groups. The analysis of molecular variance (AMOVA) test indicated that 96% of the total variance was derived from within populations, which revealed a low differentiation among populations. A core collection composed of 157 germplasms was firstly constructed thereafter, of which the diversity parameters non-significantly differed from the original population. These results revealed the genetic diversity and population structure of C. hystrix germplasms, which have implications for germplasm management and genome-wide association studies on C. hystrix, as well as for core collection establishment applications in other wood-producing hardwood species.