bluuebunny/crossref_metadata_2025 huggingface dataset:
Dynamic Transcriptome Analysis Reveals Complex Regulatory Pathway Underlying Induction and Dose Effect by Different Exogenous Auxin IAA and 2,4-D During in vitro Embryogenic Redifferentiation in Cotton
Authors: Fan Yupeng , Tang Zhengmin , Wei Junmei , Yu Xiaoman , Guo Huihui , Li Tongtong , Guo Haixia , Zhang Li , Fan Yijie , Zhang Changyu , Zeng Fanchang
Published: June 2022

Plant somatic cells can reprogram into differentiated embryos through somatic embryogenesis (SE) on the condition of plant growth regulators (PGRs). RNA sequencing analysis was performed to investigate transcriptional profiling on cotton redifferentiated callus that was induced by different auxin types (IAA and 2,4-D), different concentrations (0, 0.025, and 0.05 mg L−1), and different incubation times (0, 5, and 20 days). Under the 2,4-D induction effect, signal transduction pathways of plant hormones were significantly enriched in the embryogenic response stage (5 days). These results indicated that auxin signal transduction genes were necessary for the initial response of embryogenic differentiation. In the pre-embryonic initial period (20 days), the photosynthetic pathway was significantly enriched. Most differentially expressed genes (DEGs) were downregulated under the induction of 2,4-D. Upon the dose effect of IAA and 2,4-D, respectively, pathways were significantly enriched in phenylpropanoid biosynthesis, fatty acid metabolism, and carbon metabolic pathways. Therefore, primary and secondary metabolism pathways were critical in cotton SE. These results showed that complex synergistic mechanisms involving multiple cellular pathways were the causes of the induction and dose effect of auxin-induced SE. This study reveals a systematic molecular response to auxin signals and reveals the way that regulates embryogenic redifferentiation during cotton SE.
Metabolome and Transcriptome Analyses of Anthocyanin Accumulation Mechanisms Reveal Metabolite Variations and Key Candidate Genes Involved in the Pigmentation of Prunus tomentosa Thunb. Cherry Fruit
Authors: Zhang Aidi , Yang Haiying , Ji Shujun , Tian Changping , Chen Ni , Gong Hansheng , Li Jianzhao
Published: June 2022

Prunus tomentosa Thunb. has excellent nutritional, economic, and ornamental values with different fruit color. The red coloration of fruit is determined by anthocyanin pigmentation, which is an attractive trait for consumers. However, the mechanisms underlying fruit color formation in the P. tomentosa cherry are not well understood. In this research, the pigmentation patterns in red-color P. tomentosa (RP) fruit and white-color P. tomentosa (WP) were evaluated. Anthocyanin content in matured RP fruit was significantly abundant compared with WP fruit. Metabolomic profiling revealed that pelargonidin 3-O-glucoside, cyanidin 3-O-rutinoside, and pelargonidin 3-O-rutinoside were the predominant anthocyanin compounds in the RP fruit, while, WP fruit had less anthocyanin compositions and lower level. Then, integrative analyses of transcriptome and metabolome identified 285 significant differentially expressed genes (DEGs) closely related to anthocyanin differentially expressed metabolites (DEMs). Among them, nine genes were involved in anthocyanin biosynthesis, transport and degradation pathway, including four biosynthesis genes (PtPAL1, PtDFR, PtANS, and PtUFGT), two transport genes (PtGST11, PtABC10), and three degradation genes (PtPOD1, PtPOD16, PtPOD73). Transcriptome data and real-time PCR showed that the transcript levels of biosynthesis and transport genes were significantly higher in RP than in WP, especially PtANS, PtUFGT, and PtGST11, suggesting they may play key roles in red-colored fruit formation. Meanwhile, the degradation-related genes PtPOD1/16/73 took on exactly opposite trend, suggesting their potential effects on anthocyanin degradation. These results provide novel insights into color patterns formation mechanisms of cherries fruit, and the candidate key genes identified in anthocyanin biosynthesis, transport and degradation may provide a valuable resource for cherry breeding research in future.
Using Artificial Intelligence Assisted Learning Technology on Augmented Reality-Based Manufacture Workflow
Authors: Li Mingchao , Chen Yuqiang
Published: June 2022

The manufacturing process is defined by the synchronous matching and mutual support of the event logic and the task context, so that the work task can be completed perfectly, by executing each step of the manufacturing process. However, during the manufacturing process of the traditional production environment, on-site personnel are often faced with the situation that on-site advice is required, due to a lack of experience or knowledge. Therefore, the function of the manufacturing process should be more closely connected with the workers and tasks. To improve the manufacturing efficiency and reduce the error rate, this research proposes a set of manufacturing work knowledge frameworks, to integrate the intelligent assisted learning system into the manufacturing process. Through Augmented Reality (AR) technology, object recognition technology is used to identify the components within the line of sight, and the assembly steps are presented visually. During the manufacturing process, the system can still feedback to the user in animation, so as to achieve the function equivalent to on-the-spot guidance and assistance when a particular problem is solved by a specialist. Research experiments show that the operation of this intelligent assisted learning interface can more quickly recognize how the manufacturing process works and can solve problems, which greatly resolves the issue of personnel with insufficient experience and knowledge.
A Literature Analysis of Consumer Privacy Protection in Augmented Reality Applications in Creative and Cultural Industries: A Text Mining Study
Authors: Kang Yowei , Su Yu-Sheng
Published: June 2022

Digital reality technologies (such as AR, VR, and MR) have recently become a key component of promoting creative and cultural industries (CCIs) worldwide to transform static cultural heritage exhibits into more engaging, entertaining, and immersive experiences. These technologies present an exciting example of studying how consumers would respond to the potential invasion of privacy due to these technologies. This literature review study mainly focuses on one essential branch of CCIs: museums and their applications of digital reality technologies. Because many of these location-based AR applications by museums are inherently sensitive to users’ locational information, there is also a rising concern of the potential infringement of personal privacy (RQ1). A thorough examination of existing literature on how consumers respond to privacy concerns related to the museum’s AR applications will help uncover how scholars have approached and studied these crucial issues in the literature (RQ2). Unlike traditional literature review analyses, we employed a text mining of retrieved 715 studies articles from Business Source Complete and Engineering Village (E.I.) databases to answer our two research questions. Our study found that privacy and user(s) /visitor(s) has dramatically increased since 2017, echoing the rising concerns of other privacy-invasive technologies. Most notably, key phrases extracted from the literature corpus include “security and privacy,” “privacy and security,” “privacy risks,” “privacy concerns,” “privacy issues,” “user privacy,” “location privacy,” “privacy protection,” and “privacy preserving” that are most pertinent to the rapid implementation of AR technology in the museum sector. Discussions and implications are provided.
The Formation Mechanism of Impulse Buying in Short Video Scenario: Perspectives From Presence and Customer Inspiration
Authors: Gao Peng , Zeng Yuanyuan , Cheng Yu
Published: June 2022

It has been found in many cases that consumers are prone to exhibit impulsive buying behavior that is manifested as being immediate, emotional, and irresponsible especially under short video scenario. Supported by the customer inspiration theory, this study explores the psychological mechanism underlying impulse purchase in short videos that differentiates the traditional web shopping by the strong sense of presence in short video marketing. On the basis of a questionnaire survey and three laboratory experiments, this study examines the relationship among presence, customer inspiration, and impulse purchase intention. The empirical results point to the fact that social presence, co-presence, and physical presence have significant positive effects on impulse purchase intention, and customer inspiration mediates the effect of social presence, physical presence, and co-presence on impulse purchase intention. Furthermore, it is indicated that social and co-presence have stronger influences on impulse purchase intention than physical presence, thus proving a stronger effect of social factors on impulse purchase intention than physical factors in short video environment. The research results testify the impact of presence on consumer behavior in the upgrading short video marketing and provide valuable reference for marketing strategies to shorten consumers' decision-making time in short video purchase.
Should Assessments of Decision-Making Capacity Be Risk-Sensitive? A Systematic Review
Authors: Berens Noah Clark , Kim Scott Y. H.
Published: June 2022

Background

The concept of decision-making capacity (DMC) or competence remains controversial, despite widespread use. Risk-sensitive DMC assessment (RS-DMC)—the idea that the higher the risk involved in a decision, the greater the decisional abilities required for DMC—has been particularly controversial. We conducted a systematic, descriptive review of the arguments for and against RS-DMC to clarify the debate.

Methods

We searched PubMed/MEDLINE (National Library of Medicine), PsycInfo (American Psychological Association) and Philpapers, updating our search to February 15th, 2022. We targeted peer-reviewed publications in English that argue for or against RS-DMC. Two reviewers independently screened the publications and extracted data from each eligible manuscript.

Results

Of 41 eligible publications, 22 supported a risk-sensitive threshold in DMC assessment. Most arguments for RS-DMC rely on its intuitive appeal and practical merits. The arguments against RS-DMC primarily express concerns about paternalism and the seeming asymmetry between consent and refusal; critics of RS-DMC support epistemic, rather than substantive (i.e., variable threshold), risk-sensitivity; counterarguments responding to criticisms of RS-DMC address charges of paternalism and exhibit a notable variety of responses to the issue of asymmetry. Authors used a variety of frameworks regarding the definition of DMC, its elements, and its relation to decisional authority, and these frameworks were significantly associated with positions on RS-DMC. A limitation of our review is that the coding relies on judgment and interpretation.

Conclusion

The review suggests that some of the debate about RS-DMC stems from differences in underlying frameworks. Most defenses of RS-DMC rely on its intuitive appeal, while most criticisms reflect concerns about paternalism or the asymmetry between consent and refusal. Defenses of RS-DMC respond to the asymmetry problem in a variety of ways. Further research is needed on the implications of underlying frameworks, the asymmetry problem, and the distinction between epistemic and substantive models of RS-DMC.
Artificial Intelligence Can’t Be Charmed: The Effects of Impartiality on Laypeople’s Algorithmic Preferences
Authors: Claudy Marius C. , Aquino Karl , Graso Maja
Published: June 2022

Over the coming years, AI could increasingly replace humans for making complex decisions because of the promise it holds for standardizing and debiasing decision-making procedures. Despite intense debates regarding algorithmic fairness, little research has examined how laypeople react when resource-allocation decisions are turned over to AI. We address this question by examining the role of perceived impartiality as a factor that can influence the acceptance of AI as a replacement for human decision-makers. We posit that laypeople attribute greater impartiality to AI than human decision-makers. Our investigation shows that people value impartiality in decision procedures that concern the allocation of scarce resources and that people perceive AI as more capable of impartiality than humans. Yet, paradoxically, laypeople prefer human decision-makers in allocation decisions. This preference reverses when potential human biases are made salient. The findings highlight the importance of impartiality in AI and thus hold implications for the design of policy measures.
Predictions of tDCS treatment response in PTSD patients using EEG based classification
Authors: Kim Sangha , Yang Chaeyeon , Dong Suh-Yeon , Lee Seung-Hwan
Published: June 2022

Transcranial direct current stimulation (tDCS) is an emerging therapeutic tool for treating posttraumatic stress disorder (PTSD). Prior studies have shown that tDCS responses are highly individualized, thus necessitating the individualized optimization of treatment configurations. To date, an effective tool for predicting tDCS treatment outcomes in patients with PTSD has not yet been proposed. Therefore, we aimed to build and validate a tool for predicting tDCS treatment outcomes in patients with PTSD. Forty-eight patients with PTSD received 20 min of 2 mA tDCS stimulation in position of the anode over the F3 and cathode over the F4 region. Non-responders were defined as those with less than 50% improvement after reviewing clinical symptoms based on the Clinician-Administered DSM-5 PTSD Scale (before and after stimulation). Resting-state electroencephalograms were recorded for 3 min before and after stimulation. We extracted power spectral densities (PSDs) for five frequency bands. A support vector machine (SVM) model was used to predict responders and non-responders using PSDs obtained before stimulation. We investigated statistical differences in PSDs before and after stimulation and found statistically significant differences in the F8 channel in the theta band (p = 0.01). The SVM model had an area under the ROC curve (AUC) of 0.93 for predicting responders and non-responders using PSDs. To our knowledge, this study provides the first empirical evidence that PSDs can be useful biomarkers for predicting the tDCS treatment response, and that a machine learning model can provide robust prediction performance. Machine learning models based on PSDs can be useful for informing treatment decisions in tDCS treatment for patients with PTSD.
Six Drivers to Face the XXI Century Challenges and Build the New Healthcare System: “La Salute in Movimento” Manifesto
Authors: Blasi Francesco , Caiani Enrico Gianluca , Cereda Matteo Giuseppe , Donetti Daniela , Montorsi Marco , Panella Vincenzo , Panina Gaia , Pelagalli Felicia , Speroni Elisabetta
Published: June 2022

The aging of the population, the burden of chronic diseases, possible new pandemics are among the challenges for healthcare in the XXI century. To face them, technological innovations and the national recovery and resilience plan within the European Union can represent opportunities to implement changes and renovate the current healthcare system in Italy, in an effort to guarantee equal access to health services. Considering such scenario, a panel of Italian experts gathered in a multidisciplinary Think Tank to discuss possible design of concepts at the basis of a new healthcare system. These ideas were summarized in a manifesto with six drivers for change: vision, governance, competence, intelligence, humanity and relationship. Each driver was linked to an action to actively move toward a new healthcare system based on trust between science, citizens and institutions.
Epidemiological Trends of Coronavirus Disease 2019 in Sierra Leone From March 2020 to October 2021
Authors: Liu Zhiguo , Gao Liping , Xue Chuizhao , Zhao Chunchun , Liu Tiezhu , Tia Alie , Wang Lili , Sun Junling , Li Zhenjun , Harding Doris
Published: June 2022

Coronavirus disease 2019 (COVID-19), a serious public health challenge the world over, has led to significant health concerns in Sierra Leone. In the present study, epidemic indices, such as the number of cases, positivity rate, reproduction rate (R0), case fatality rate (CFR), age, and sex, were used to characterize the epidemiological trends of COVID-19. As of October 31, 2021, a total of 6,398 cases and 121 related deaths had been confirmed. The total number of COVID-19 reverse transcription polymerase chain reaction (RT-PCR) tests conducted to October 31, 2021, was 249,534, and the average positivity rate was 2.56%. Three waves of COVID-19 were recorded, occurring during weeks 15–46 in 2020 (2,369 cases), week 47 in 2020 to week 16 in 2021 (1,665 cases), and weeks 17–43 in 2021 (2,364 cases), respectively. Remarkably, there was no increase in the numbers of confirmed COVID-19 cases despite rising test numbers throughout the three waves. Moreover, three high R0 values were observed before each wave. The number of positive cases significantly correlated with positive numbers of international arrivals (P < 0.01), deaths (P < 0.01), and the positivity rate of tested samples (P < 0.01). Moreover, all of the deaths occurred during the peak of the three waves. Our results indicate that there was a low level of COVID-19 epidemic in Sierra Leone and that COVID-19's introduction led to local transmission. It is vital to fight against the spread of SARS-CoV-2 from the source of origin by strengthening testing and management of people entering the country. Our findings will provide important clues for expanding sample screening and will contribute to the reasonable allocation of medical resources.
Which Parameter Controls Ring Current Electron Dynamics
Authors: Haas Bernhard , Shprits Yuri Y. , Allison Hayley J. , Wutzig Michael , Wang Dedong
Published: June 2022

Predicting the electron population of Earth’s ring current during geomagnetic storms still remains a challenging task. In this work, we investigate the sensitivity of 10 keV ring current electrons to different driving processes, parameterised by the Kp index, during several moderate and intense storms. Results are validated against measurements from the Van Allen Probes satellites. Perturbing the Kp index allows us to identify the most dominant processes for moderate and intense storms respectively. We find that during moderate storms (Kp < 6) the drift velocities mostly control the behaviour of low energy electrons, while loss from wave-particle interactions is the most critical parameter for quantifying the evolution of intense storms (Kp > 6). Perturbations of the Kp index used to drive the boundary conditions at GEO and set the plasmapause location only show a minimal effect on simulation results over a limited L range. It is further shown that the flux at L ∼ 3 is more sensitive to changes in the Kp index compared to higher L shells, making it a good proxy for validating the source-loss balance of a ring current model.
Revolutionizing Our Understanding of Particle Energization in Space Plasmas Using On-Board Wave-Particle Correlator Instrumentation
Authors: Howes Gregory G. , Verniero Jaye L. , Larson Davin E. , Bale Stuart D. , Kasper Justin C. , Goetz Keith , Klein Kristopher G. , Whittlesey Phyllis L. , Livi Roberto , Rahmati Ali , Chen Christopher H. K. , Wilson Lynn B. , Alterman Benjamin L. , Wicks Robert T.
Published: June 2022

A leap forward in our understanding of particle energization in plasmas throughout the heliosphere is essential to answer longstanding questions in heliophysics, including the heating of the solar corona, acceleration of the solar wind, and energization of particles that lead to observable phenomena, such as the Earth’s aurora. The low densities and high temperatures of typical heliospheric environments lead to weakly collisional plasma conditions. Under these conditions, the energization of particles occurs primarily through collisionless interactions between the electromagnetic fields and the individual plasma particles with energies characteristic of a particular interaction. To understand how the plasma heating and particle acceleration impacts the macroscopic evolution of the heliosphere, impacting phenomena such as extreme space weather, it is critical to understand these collisionless wave-particle interactions on the characteristic ion and electron kinetic timescales. Such understanding requires high-cadence measurements of both the electromagnetic fields and the three-dimensional particle velocity distributions. Although existing instrument technology enables these measurements, a major challenge to maximize the scientific return from these measurements is the limited amount of data that can be transmitted to the ground due to telemetry constraints. A valuable, but underutilized, approach to overcome this limitation is to compute on-board correlations of the maximum-cadence field and particle measurements to improve the sampling time by several orders of magnitude. Here we review the fundamentals of the innovative field-particle correlation technique, present a formulation of the technique that can be implemented as an on-board wave-particle correlator, and estimate results that can be achieved with existing instrumental capabilities for particle velocity distribution measurements.
Promoting Sustainable Smallholder Aquaculture Productivity Through Landscape and Seascape Aquapark Models: A Case Study of Busia County, Kenya
Authors: Odende Timothy , Ogello Erick O. , Iteba Jacob O. , Owori Henrick , Outa Nicholas , Obiero Kevin O. , Munguti Jonathan M. , Kyule Domitila N. , Kimani Shadrack , Osia Moses M.
Published: June 2022

The dwindling capture fisheries has triggered an increase in Kenya's annual fish demand deficit, currently estimated at 553,000 MT. With the adoption of sustainable policies, aquaculture can bridge and surpass this deficit. Kenya's fish farming environment is however characterized by its highly fragmented production farms, which limit the dynamism and technical change needed to commercialize aquaculture. The global trend in the commercialization of food production is through the consolidation of farmlands. For example, most farms in the United States of America were also once small, but because of the policy of land consolidation, the farmlands average 1,000 acres. Over the past decade, much of Sub-Saharan African nations are experiencing a rise of 5–100 hectares except in Kenya, where the laws have exacerbated the situation. Amid declining agricultural productivity, farm-level efficiency and food security problems, land fragmentation is emerging as a key policy question in Kenya and is the single largest bottleneck, to aquaculture growth in Busia. A paradigm shift in the aquaculture development policy will enable aggregated production of fish under a fragmented land tenure. This study discusses the need to remodel the current fragmented and uncoordinated cluster-based smallholder aquaculture development strategy by adopting a hybrid aquapark concept. In this concept, the aggregated smallholder aquaparks are established and managed through specialized management service provision units and linked to adjacent smallholder aquaculture production clusters with a community-based coordination and support framework. The study further gives the application and socioeconomic experiences of the pilot aquapark concept of aquaculture development in Busia County. The aquapark model coupled with the deliberate establishment of aquaculture-enabling infrastructure has enhanced the efficiency, profitability, and productivity of aquaculture production. The realization of smallholder community-owned large-scale fish farms through aquaparks offers a window for dynamism and technical change necessary for the commercialization of aquaculture under a fragmented land tenure system.
The Response of Ruminal Microbiota and Metabolites to Different Dietary Protein Levels in Tibetan Sheep on the Qinghai-Tibetan Plateau
Authors: Wang Xungang , Xu Tianwei , Zhang Xiaoling , Zhao Na , Hu Linyong , Liu Hongjin , Zhang Qian , Geng Yuanyue , Kang Shengping , Xu Shixiao
Published: June 2022

Ruminal microbiota and metabolites play crucial roles in animal health and productivity. Exploring the dynamic changes and interactions between microbial community composition and metabolites is important for understanding ruminal nutrition and metabolism. Tibetan sheep (Ovis aries) are an important livestock resource on the Qinghai-Tibetan Plateau (QTP), and the effects of various dietary protein levels on ruminal microbiota and metabolites are still unknown. The aim of this study was to investigate the response of ruminal microbiota and metabolites to different levels of dietary protein in Tibetan sheep. Three diets with different protein levels (low protein 10.1%, medium protein 12.1%, and high protein 14.1%) were fed to Tibetan sheep. 16S rRNA gene sequencing and gas chromatography coupled with time-of-flight mass spectrometry (GC-TOF-MS) were used to study the profile changes in each group of ruminal microbes and metabolites, as well as the potential interaction between them. The rumen microbiota in all groups was dominated by the phyla Bacteroidetes and Firmicutes regardless of the dietary protein level. At the genus level, Prevotella_1, Rikenellaceae_RC9_gut_group and Prevotellaceae_UCG-001 were dominant. Under the same forage-to-concentrate ratio condition, the difference in the dietary protein levels had no significant impact on the bacterial alpha diversity index and relative abundance of the major phyla and genera in Tibetan sheep. Rumen metabolomics analysis revealed that dietary protein levels altered the concentrations of ruminal amino acids, carbohydrates and organic acids, and significantly affected tryptophan metabolism (p < 0.05). Correlation analysis of the microbiota and metabolites revealed positive and negative regulatory mechanisms. Overall, this study provides detailed information on rumen microorganisms and ruminal metabolites under different levels of dietary protein, which could be helpful in subsequent research for regulating animal nutrition and metabolism through nutritional interventions.
Individual and Community-Level Factors Associated With Intention to Use Contraceptives Among Reproductive Age Women in Sub-Saharan Africa
Authors: Asmamaw Desale Bihonegn , Eshetu Habitu Birhan , Negash Wubshet Debebe
Published: June 2022

Objectives: The present study identifies factors that affect intention to use contraceptives among married women in countries in sub-Saharan Africa.

Methods: Secondary data analysis was conducted using Demographic and Health Surveys. A total of 334386 weighted sample women who were fecund were included in the analysis. Multi-level mixed-effect logistic regression analysis was fitted to identify individual and community level factors associated with intention to use contraceptives.

Results: The prevalence of intention to use contraceptives was 45.76%. Age, educational status, and wealth quintile were factors affecting the intention to use contraceptives.

Conclusion: Several individual and community level factors were associated with the intention to use contraceptives in SSA. Therefore, governmental and non-governmental organizations should consider these factors when implementing strategies.
Layout Design and Verification of a Space Payload Distributed Capture and Lock System
Authors: Wang Gang , Yao Yimeng , Wang Jingtian , Huo Weiye , Xu Guosheng , Hu Xi
Published: June 2022

In this paper, the mechanism scheme and parametric design of a capture and lock system are studied based on the high reliability of locking systems. By analyzing the workflow and boundary conditions of the capture and lock system, a positioning design is carried out by combining it with the layout of a distributed capture and lock system. Based on the error domain for the passive end in the presence of errors in the manipulator, planning for the capture trajectory and configuration of the design for the active end are carried out. The influence of the passive end on the dynamic performance of the system is comprehensively considered to design the configuration of the passive end. According to the structure of the active end, a mathematical model for the capture and lock mechanism is established, and an analysis of the influence of trajectory parameters on the active end is carried out. The layout design of the capture hook for the active end is carried out based on an analysis of the influence of its layout on posture adjustment. The large-tolerance capability of the system layout is verified with a tolerance simulation analysis and a ground simulation capture test.
Assessing Anti-Inflammatory Activities and Compounds in Switchgrass (Panicum virgatum)
Authors: Ho Khanh-Van , Efrat Novianus , Schreiber Kathy L. , Vo Phuc H. , De Canha Marco N. , van Staden Analike Blom , Payne Bianca D. , Oosthuizen Carel B. , Twilley Danielle , Lei Zhentian , Sumner Lloyd W. , Brown Charles R. , Lall Namrita , Lin Chung-Ho
Published: June 2022

Switchgrass is a bioenergy feedstock that potentially possesses multiple health benefits. However, the biological properties and associated bioactive compounds of switchgrass have not been adequately investigated. In the current study, we assessed the anti-inflammatory properties of switchgrass. Results from in vitro bioassays indicated that the methanolic extracts of switchgrass contained compounds exerting inhibitory effects on the expression of inflammatory mediators (TNF-α, IL-6, IL-8, and IL-10) induced in the U-937 model system. The extracts derived from four switchgrass cultivars (Alamo, Kanlow, Liberty, and Show Me) inhibited the secretion of all inflammatory mediators examined, with the only exception of the Liberty extract, which showed no significant effect on IL-10 expression. The degree of cytokine inhibition was variable, depending on the particular cultivar, the concentrations tested, and the cytokines examined. A global metabolomics approach was utilized to putatively identify possible molecules with known anti-inflammatory capacities in different switchgrass cultivars using ultra-high performance liquid chromatography with high-resolution mass spectrometry (UHPLC-HRMS). The content of multiple bioactive anti-inflammatory compounds in switchgrass was determined by liquid chromatography–tandem mass spectrometry (HPLC–MS/MS) analyses. Our results suggest that switchgrass, particularly the Alamo and Kanlow cultivars, may represent a promising natural anti-inflammatory source for the cosmetic, nutraceutical, and pharmaceutical industries.
Performance of AquaCrop Model for Maize Growth Simulation under Different Soil Conditioners in Shandong Coastal Area, China
Authors: Shan Yuyang , Li Ge , Su Lijun , Zhang Jihong , Wang Quanjiu , Wu Junhu , Mu Weiyi , Sun Yan
Published: June 2022

Evaluating the performance of AquaCrop models under the drip irrigation of maize with soil conditioners is of great significance for improving coastal saline–alkali land crop management strategies. This study aimed to evaluate the performance of an AquaCrop model for maize growth simulation under different soil conditions (humic acid (HA) and sodium carboxymethyl cellulose (CMC)) and dosages and different levels of irrigation in the Shandong coastal saline–alkali area, China, and to optimize the amount of irrigation. Three years of experiments were carried out in the growing season of maize (Ludan 510) in 2019, 2020, and 2021. The dosages of HA were 5, 15, 25, and 35 g/m2, the dosages of CMC were 1, 2, 3, and 5 g/m2, and the levels of irrigation from 2019 to 2021 were all 120 mm. The model was calibrated with data from 2019, and the model was verified with data from 2020 to 2021, according to the recommended corn parameters in the AquaCrop model manual. The results showed that the model had a good simulation effect on canopy coverage, with a root-mean-square error (RMSE) of less than 15.2%, and the simulated aboveground biomass and yield were generally low. The simulated value of soil water content was generally high, with some treatments having errors of more than 15.0%. The simulation effect of irrigated maize from 2019 to 2020 was better than maize in 2021. The simulation effect of HA was better than that of CMC, while the simulation effect of a low-gradient modifier was better than that of high-gradient conditioner when compared with CMC. In conclusion, the AquaCrop model could be a viable method for predicting maize development under different soil conditioners in this area. The suitable levels of irrigation under HA and CMC treatments were 47.0–65.9 mm and 61.0–92.4 mm, respectively, according to the principle of high yield and water use efficiency. The results provided a reference for optimizing the drip irrigation of maize under the application of soil conditioners in coastal saline–alkali areas.
Effects of Tytanit and Nitrogen on Cellulose and Hemicellulose Content of Festulolium braunii and on Its Digestibility
Authors: Malinowska Elżbieta , Wiśniewska-Kadżajan Beata
Published: June 2022

The aim of the experiment was to determine the effects of the foliar application of Tytanit, at the same time comparing it with the effects of mineral nitrogen, on the cellulose and hemicellulose content and its effect on Festulolium braunii digestibility. The experiment was founded in the spring of 2014 in the field of the University of Natural Sciences and Humanities in Siedlce, Poland. The plant used in the experiment was the Felopa variety of Festulolium braunii. The effects of Tytanit foliar application at a concentration of 0.2% and 1% and of mineral nitrogen at a dose of 80 and 160 kg/ha were studied in the experiment. During its full use (2015–2017), Festulolium braunii was harvested three times. The content of cellulose and hemicellulose was determined by near-infrared reflection spectroscopy (NIRS) using the NIRFlex N-500. The higher dose of 1% Tytanit contributed to an increase in cellulose content of Festulolium braunii (334.8 g kg−1), at the same time decreasing hemicellulose content (175.0 g kg−1), lignification degree (7.1%), dry matter digestibility (59.71%), and total digestible nutrient content (52.99%).
Genome-Wide Identification and Expression Analysis of SnRK Gene Family under Abiotic Stress in Cucumber (Cucumis sativus L.)
Authors: Luo Yanyan , Niu Yuan , Gao Rong , Wang Chunlei , Liao Weibiao
Published: June 2022

Sucrose non-fermenting 1-related protein kinases (SnRKs) are a kind of plant-specific serine/threonine (Ser/Thr) protein kinase, which play an important role in plant stress resistance. However, the scale analysis of SnRK in the cucumber genome is currently unclear. In the study, a total of 30 CsSnRK genes were identified from genomic data. They were distributed on six chromosomes, including 1 CsSnRK1, 10 CsSnRK2s and 19 CsSnRK3s. According to the analysis of gene structure and motif composition, CsSnRKs showed obvious differences among the three subfamilies. The ratio of synonymous (Ks) and nonsynonymous (Ka) nucleotide substitutions (Ka/Ks) of three paralogues indicates that the CsSnRK gene family undergoes a purifying selection. The analysis of cis-acting elements shows that the promoter region of each CsSnRK gene contained different classes of hormone and stress-related cis-acting elements. Furthermore, based on RNA-sequencing data from the Short Read Archive (SRA) database of NCBI, the expression patterns of CsSnRK genes in six tissues were investigated, indicating that the expression of multiple CsSnRK genes was prevalent in these tissues. Transcription levels of CsSnRK genes after drought, methyl jasmonate (MeJA) and abscisic acid (ABA) treatments were analyzed by quantitative RT-PCR, and the results show that most of the CsSnRK genes responded to these stresses. However, under different treatments, individual genes played a major role. For example, under ABA treatment, CsSnRK2.2 and CsSnRK2.3 played a major role in the response to ABA. These results provide clear evidence that CsSnRKs may be involved in cucumber growth, development and stress response, and provide valuable information for future functional studies of CsSnRKs.
Effect of Rice-Straw Biochar Application on the Acquisition of Rhizosphere Phosphorus in Acidified Paddy Soil
Authors: Zhang Yikai , Chen Huizhe , Xiang Jing , Xiong Jiahuan , Wang Yaliang , Wang Zhigang , Zhang Yuping
Published: June 2022

A serious acidification trend currently affects paddy soil and soil phosphorus (P) availability has declined in rice production. This study investigated the effect of rice-straw biochar on P availability and the adaptability of rice roots in acidified soil. Rice was grown in rhizoboxes, allowing for the precise sampling of rhizosphere and bulk soil for the sequential extraction of P fractions. Biochar may provide a liming effect and strong nutrient adsorption, leading to soil improvement. The results confirmed that biochar application significantly improved plant growth and P accumulation in shoots by 29% and 75%, respectively. However, the application of washed biochar and equivalent lime only increased shoot biomass and P accumulation by 13.4% and 11.2%, and by 42% and 38%, respectively. Compared with the control, applying biochar increased the plant-available P component contents in rhizosphere and bulk soil. Biochar affected the chemical balance among the different P fractions, increased aluminum-bound phosphate (Al-P) pool, calcium-bound phosphate (Ca-P) pool and decreased the occluded phosphate pool in acidic paddy soil. Biochar amendment significantly improved root growth of and increased the citrate exudation from roots under low P supply, accompanied by the enhanced expression of the anion-transporter-related OsFRDL4 gene and the OsPT1 phosphate transporter. The results showed that biochar application in degraded acidic soils could improve rice potential for P acquisition to increase available P component and maintain high citrate exudation.
cd26 Knockdown Negatively Affects Porcine Parthenogenetic Preimplantation Embryo Development
Authors: Hwang In-Sul , Shim Joohyun , Oh Keon Bong , Lee Haesun , Park Mi-Ryung
Published: June 2022

cd26 is ubiquitously distributed in the body, particularly in the endothelial and epithelial cells, with the highest expression in the kidney, liver, and small intestine. In humans, cd26 serves as a marker for the embryo implantation phase. However, little is known about the role of cd26 in porcine pre-implantation embryo development. Here, we aimed to examine siRNA-induced cd26 downregulation in the cytoplasm of MII oocytes, to determine whether cd26 is involved in the regulation of porcine pre-implantation embryonic development. The cd26 siRNA was micro-injected into the cytoplasm of MII oocytes, which were then parthenogenetically activated electrically in a medium containing 0.3M Mannitol. Inhibition of the cd26 expression did not affect cleavage but stopped development in the blastocyst stage. Additionally, the cd26 siRNA-treated blastocysts had significantly more apoptotic cells than the untreated blastocysts. Among the 579 transcripts evaluated with transcriptome resequencing, 38 genes were differentially expressed between the treatment and control blastocysts (p < 0.05). Twenty-four genes were upregulated in cd26 siRNA-injected blastocysts, whereas 14 were downregulated. These genes are involved in apoptosis, accumulation of reactive oxygen species, and aberrant expression of ribosomal protein genes. Our results indicate that cd26 is required for proper porcine parthenogenetic activation during embryonic development.
Refining the APGAR Score Cutoff Values and Viability Classes According to Breed Body Size in Newborn Dogs
Authors: Veronesi Maria Cristina , Faustini Massimo , Probo Monica , Rota Alessandro , Fusi Jasmine
Published: June 2022

The Apgar score (AS) represents a key tool for neonate assessment, but the possible breed effect on AS in newborn puppies has never been investigated. Therefore, data from 234 dog litters born by caesarean section, grouped according to breed body size (BBS) (small, medium, large), were evaluated. Live-birth puppies were assessed through AS within 5 min of delivery, and classified in viability classes: 0–3 severely distressed, 4–6 moderately distressed, 7–10 not distressed. Statistical analysis evaluated possible differences of AS and viability class according to BBS, and between BBS and puppies’ mortality. Results showed no differences in the distribution of mortalities among BBSs. However, an effect of BBS on the AS was found, with small-sized puppies being the most represented in the severely distressed class, but having the best survival chance compared to large-sized newborns. Through receiver-operating-characteristics analysis, the AS new cutoff values for survival and for death <24 h and 24 h–7 days of age were identified, and the viability classes were redefined, with a narrower class of moderately distressed puppy specific for each BBS. In conclusion, the refining of the AS in dog species is imperative, with cutoff values and viability classifications that must be adapted to the BBS.
Oxidative Stress Can Be Attenuated by 4-PBA Caused by High-Fat or Ammonia Nitrogen in Cultured Spotted Seabass: The Mechanism Is Related to Endoplasmic Reticulum Stress
Authors: Dong Yanzou , Li Lei , Xia Tian , Wang Lina , Xiao Liping , Ding Nengshui , Wu Youlin , Lu Kangle
Published: June 2022

Oxidative stress is a common phenomenon in aquaculture, which can be induced by nutritional or environmental factors. Generally, oxidative stress causes poor growth performance, metabolic dysregulation, and even the death of aquatic animals. To identify a nutritional intervention strategy, high-fat diet (HFD) feeding (Experiment I) and acute ammonia nitrogen challenge (Experiment II) tests were carried out. In Experiment I, HFD feeding significantly decreased the growth performance concomitantly with excessive fat deposition in the liver and abdomen. The addition of 4-PBA in the diet improved the excessive fat accumulation. The activities of antioxidative enzymes were suppressed, and the levels of lipid and protein peroxidation were increased, indicating that HFD feeding induced oxidative stress. The endoplasmic reticulum stress (ERs) related genes were downregulated in the HFD group. Under a transmission electron microscope (TEM), more swollen and dilated ER lumen could be observed. These results indicated that the HFD induced ERs activation. Although 4-PBA acted as a potent ERs inhibitor, as evidenced by the alleviated alterations of ERs molecules and the ER ultrastructure, the oxidative stress was also attenuated by 4-PBA. In Experiment II, dietary 4-PBA improved the tolerance to the acute ammonia nitrogen challenge, as lower mortality and serum aminotransferase activity was found. Further results showed that 4-PBA decreased the peroxidation content and attenuated ERs, thus confirming the correlation between oxidative stress and ERs. Our findings showed that dietary 4-PBA supplementation can attenuate oxidative stress induced by a HFD or acute ammonia challenge; the mechanism is related to its potent inhibition effect for ERs.
Genetic Factors Associated with Response to Vitamin E Treatment in NAFLD
Authors: Civelek Mehtap , Podszun Maren C.
Published: June 2022

Non-alcoholic fatty liver disease (NAFLD) is becoming the predominant liver disease worldwide, and vitamin E has been clinically shown to improve histological parameters in a subset of patients. In this narrative review, we investigate whether genetic factors may help to explain why some patients show histological improvements upon high-dose alpha-tocopherol (αT) treatment while others do not. In summary, we identified two factors that are associated with treatment response, including genetic variations in haptoglobin as well as fatty acid desaturase 1/2 (FADS1/FADS2). Other genetic variants such as in alpha-tocopherol transfer protein (αTTP), tocopherol associated protein (TAP), transmembrane 6 superfamily 2 (TM6SF2), cluster of differentiation 36 (CD36), and proteins involved in lipoprotein metabolism may also play a role, but have not yet been investigated in a clinical context. We propose to further validate these associations in larger populations, to then use them as a clinical tool to identify the subset of patients that will benefit the most from vitamin E supplementation.
Natural Antioxidant Activities of Plants in Preventing Cataractogenesis
Authors: Imelda Eva , Idroes Rinaldi , Khairan Khairan , Lubis Rodiah Rahmawaty , Abas Abdul Hawil , Nursalim Ade John , Rafi Mohamad , Tallei Trina Ekawati
Published: June 2022

A cataract is a condition that causes 17 million people to experience blindness and is the most significant cause of vision loss, around 47.9%. The formation of cataracts is linked to both the production of reactive oxygen species (ROS) and the reduction of endogenous antioxidants. ROS are highly reactive molecules produced by oxygen. Examples of ROS include peroxides, super-oxides, and hydroxyl radicals. ROS are produced in cellular responses to xenobiotics and bacterial invasion and during mitochondrial oxidative metabolism. Excessive ROS can trigger oxidative stress that initiates the progression of eye lens opacities. ROS and other free radicals are highly reactive molecules because their outer orbitals have one or more unpaired electrons and can be neutralized by electron-donating compounds, such as antioxidants. Examples of natural antioxidant compounds are vitamin C, vitamin E, and beta-carotene. Numerous studies have demonstrated that plants contain numerous antioxidant compounds that can be used as cataract preventatives or inhibitors. Natural antioxidant extracts for cataract therapy may be investigated further in light of these findings, which show that consuming a sufficient amount of antioxidant-rich plants is an excellent approach to cataract prevention. Several other natural compounds also prevent cataracts by inhibiting aldose reductase and preventing apoptosis of the eye lens.
Oxidative Stress and Fetal Growth Restriction Set Up Earlier in Undernourished Sheep Twin Pregnancies: Prevention with Antioxidant and Nutritional Supplementation
Authors: Parraguez Víctor H. , Sales Francisco , Peralta Oscar , De los Reyes Monica , Gonzalez-Bulnes Antonio
Published: June 2022

Hypoxemia and oxidative stress, resulting in intrauterine growth restriction (IUGR) in undernourished twin sheep pregnancies, has been described in near-term studies. Our aim was to evaluate if the counteractive effects of maternal nutritional or antioxidant supplementation on the fetal redox status were evident before the accelerated fetal growth phase. Forty twin-bearing ewes grazing on natural Patagonian prairie were randomly assigned to four groups (n = 10 each; P: control ewes consuming mainly natural pasture; P+A: pasture plus antioxidants; P+C: pasture plus concentrate; P+A+C: pasture plus antioxidants and concentrate). Daily herbal antioxidants were supplemented in a feedstuff concentrate as a premix from day 35 until day 100 of gestation, when fetal venous cord blood samples and biometric measurements were obtained via cesarean section. The fetuses from group P were clearly hypoxemic. An analysis of variance showed that maternal antioxidant supplementation showed a trend of increased PO2, SatHb, and Ht, effects not observed in P+C fetuses. Antioxidants decreased the fetal MDA concentration (p < 0.05). Fetal TAC was increased by the antioxidants and concentrate (p < 0.05). Antioxidant supplementation showed a trend to increase fetal body weight but not biometry. The results suggest that negative effects of oxidative stress occur earlier than the overt growth arrest, and the maternal administration of antioxidants may constitute a good nutritional strategy for the early prevention of IUGR.