bluuebunny/crossref_metadata_2025 huggingface dataset:
Chemoprofiling as Breeding Tool for Pharmaceutical Use of Salix
Authors: Förster Nadja , Antoniadou Kyriaki , Zander Matthias , Baur Sebastian , Mittermeier-Kleßinger Verena Karolin , Dawid Corinna , Ulrichs Christian , Mewis Inga
Published: April 2021

Willow bark is traditionally used for pharmaceutical purposes. Evaluation is so far based on the salicylate content, however, health promoting effects of extracts might be attributed to the interaction of those salicylates with other compounds, which support and complement their action. So far, only S. purpurea, S. daphnoides, and S. fragilis are included in pharmaceutical extracts. Crossing with other species could result in a more diverse secondary metabolite profile with higher pharmacological value. With the help of targeted inter- and intraspecific crossing, new chemotypes were generated, whereby nine different Salix genotypes (S. alba, S. daphnoides, S. humboldtiana, S. lasiandra, S. nigra, S. pentandra, S. purpurea, S. x rubens, S. viminalis) were included in the study. Based on substances known for their health promoting potential and characteristic for Salix (selected phenolic compounds including salicylates), a targeted metabolomics analysis and clustering of 92 generated Salix clones was performed revealing four different cluster/chemoprofiles. In more specific, one group is formed by S. daphnoides clones and inter- and intraspecific hybrids, a second group by S. viminalis clones and inter- and intraspecific hybrids, a third group generally formed by S. alba, S. pentandra, S. x rubens, and S. lasiandra clones and hybrids, and a fourth group by S. purpurea clones and inter- and intraspecific hybrids. Clustering on the basis of the selected phenolic compounds can be used for identifying Salix clones with a different compound profile. New combinations of secondary plant metabolites offer the chance to identify Salix crosses with improved effects on human health.
Melatonin Enhances the Tolerance and Recovery Mechanisms in Brassica juncea (L.) Czern. Under Saline Conditions
Authors: Park Hee-Soon , Kazerooni Elham Ahmed , Kang Sang-Mo , Al-Sadi Abdullah Mohammed , Lee In-Jung
Published: April 2021

Melatonin has been recently known to stimulate plant growth and induce protective responses against different abiotic stresses. However, the mechanisms behind exogenous melatonin pretreatment and restoration of plant vigor from salinity stress remain poorly understood. The present study aimed to understand the effects of exogenous melatonin pretreatment on salinity-damaged green mustard (Brassica junceaL. Czern.) seedlings in terms of oxidative stress regulation and endogenous phytohormone production. Screening of several melatonin concentrations (0, 0.1, 1, 5, and 10 μM) on mustard growth showed that the 1 μM concentration revealed an ameliorative increase of plant height, leaf length, and leaf width. The second study aimed at determining how melatonin application can recover salinity-damaged plants and studying its effects on physiological and biochemical parameters. Under controlled environmental conditions, mustard seedlings were irrigated with distilled water or 150 mM of NaCl for 7 days. This was followed by 1 μM of melatonin application to determine its recovery impact on the damaged plants. Furthermore, several physiological and biochemical parameters were examined in stressed and unstressed seedlings with or without melatonin application. Our results showed that plant height, leaf length/width, and stem diameter were enhanced in 38-day-old salinity-stressed plants under melatonin treatment. Melatonin application obviously attenuated salinity-induced reduction in gas exchange parameters, relative water content, and amino acid and protein levels, as well as antioxidant enzymes, such as superoxide dismutase and catalase. H2O2accumulation in salinity-damaged plants was reduced by melatonin treatment. A decline in abscisic acid content and an increase in salicylic acid content were observed in salinity-damaged seedlings supplemented with melatonin. Additionally, chlorophyll content decreased during the recovery period in salinity-damaged plants by melatonin treatment. This study highlighted, for the first time, the recovery impact of melatonin on salinity-damaged green mustard seedlings. It demonstrated that exogenous melatonin supplementation significantly improved the physiologic and biochemical parameters in salinity-damaged green mustard seedlings.
The Enigma of Interspecific Plasmodesmata: Insight From Parasitic Plants
Authors: Fischer Karsten , Lachner Lena Anna-Maria , Olsen Stian , Mulisch Maria , Krause Kirsten
Published: April 2021

Parasitic plants live in intimate physical connection with other plants serving as their hosts. These host plants provide the inorganic and organic compounds that the parasites need for their propagation. The uptake of the macromolecular compounds happens through symplasmic connections in the form of plasmodesmata. In contrast to regular plasmodesmata, which connect genetically identical cells of an individual plant, the plasmodesmata that connect the cells of host and parasite join separate individuals belonging to different species and are therefore termed “interspecific”. The existence of such interspecific plasmodesmata was deduced either indirectly using molecular approaches or observed directly by ultrastructural analyses. Most of this evidence concerns shoot parasitic Cuscuta species and root parasitic Orobanchaceae, which can both infect a large range of phylogenetically distant hosts. The existence of an interspecific chimeric symplast is both striking and unique and, with exceptions being observed in closely related grafted plants, exist only in these parasitic relationships. Considering the recent technical advances and upcoming tools for analyzing parasitic plants, interspecific plasmodesmata in parasite/host connections are a promising system for studying secondary plasmodesmata. For open questions like how their formation is induced, how their positioning is controlled and if they are initiated by one or both bordering cells simultaneously, the parasite/host interface with two adjacent distinguishable genetic systems provides valuable advantages. We summarize here what is known about interspecific plasmodesmata between parasitic plants and their hosts and discuss the potential of the intriguing parasite/host system for deepening our insight into plasmodesmatal structure, function, and development.
An Atlas of Genomic Resources for Studying Rosaceae Fruits and Ornamentals
Authors: Li Muzi , Xiao Yuwei , Mount Steve , Liu Zhongchi
Published: April 2021

Rosaceae, a large plant family of more than 3,000 species, consists of many economically important fruit and ornamental crops, including peach, apple, strawberry, raspberry, cherry, and rose. These horticultural crops are not only important economic drivers in many regions of the world, but also major sources of human nutrition. Additionally, due to the diversity of fruit types in Rosaceae, this plant family offers excellent opportunities for investigations into fleshy fruit diversity, evolution, and development. With the development of high-throughput sequencing technologies and computational tools, an increasing number of high-quality genomes and transcriptomes of Rosaceae species have become available and will greatly facilitate Rosaceae research and breeding. This review summarizes major genomic resources and genome research progress in Rosaceae, highlights important databases, and suggests areas for further improvement. The availability of these big data resources will greatly accelerate research progress and enhance the agricultural productivity of Rosaceae.
Minimizing VPD Fluctuations Maintains Higher Stomatal Conductance and Photosynthesis, Resulting in Improvement of Plant Growth in Lettuce
Authors: Inoue Takayasu , Sunaga Motoo , Ito Mutsuhiro , Yuchen Qu , Matsushima Yoriko , Sakoda Kazuma , Yamori Wataru
Published: April 2021

Vapor pressure deficit (VPD) is considered to be one of the major environmental factors influencing stomatal functions and photosynthesis, as well as plant growth in crop and horticultural plants. In the greenhouse cultivation, air temperature and relative air humidity are regulated by switching on/off the evaporative systems and opening/closing the roof windows, which causes VPD fluctuation. However, it remains unclear how VPD fluctuation affects photosynthetic and growth performance in plants. Here, we examined the effects of the VPD fluctuation on the photosynthetic and growth characteristics in lettuce (Lactuca sativaL.). The parameters for gas exchange and chlorophyll fluorescence and biomass production were evaluated under the conditions of drastic (1.63 kPa for 6 min and 0.63 for 3 min) or moderate (1.32 kPa for 7 min and 0.86 kPa for 3 min) VPD fluctuation. The drastic VPD fluctuation induced gradual decrease in stomatal conductance and thus CO2assimilation rate during the measurements, while moderate VPD fluctuation caused no reduction of these parameters. Furthermore, data showed moderate VPD fluctuation maintained leaf expansion and the efficiency of CO2diffusion across leaf surface, resulting in enhanced plant growth compared with drastic VPD fluctuation. Taken together, fine regulation of VPD can be crucial for better plant growth by maintaining the photosynthetic performance in lettuce. The present work demonstrates the importance of VPD control during plant cultivation in plant factories and greenhouses.
Betaine Aldehyde Dehydrogenase (BADH) vs. Flavodoxin (Fld): Two Important Genes for Enhancing Plants Stress Tolerance and Productivity
Authors: Niazian Mohsen , Sadat-Noori Seyed Ahmad , Tohidfar Masoud , Mortazavian Seyed Mohammad Mahdi , Sabbatini Paolo
Published: April 2021

Abiotic stresses, mainly salinity and drought, are the most important environmental threats that constrain worldwide food security by hampering plant growth and productivity. Plants cope with the adverse effects of these stresses by implementing a series of morpho-physio-biochemical adaptation mechanisms. Accumulating effective osmo-protectants, such as proline and glycine betaine (GB), is one of the important plant stress tolerance strategies. These osmolytes can trigger plant stress tolerance mechanisms, which include stress signal transduction, activating resistance genes, increasing levels of enzymatic and non-enzymatic antioxidants, protecting cell osmotic pressure, enhancing cell membrane integrity, as well as protecting their photosynthetic apparatus, especially the photosystem II (PSII) complex. Genetic engineering, as one of the most important plant biotechnology methods, helps to expedite the development of stress-tolerant plants by introducing the key tolerance genes involved in the biosynthetic pathways of osmolytes into plants. Betaine aldehyde dehydrogenase (BADH) is one of the important genes involved in the biosynthetic pathway of GB, and its introduction has led to an increased tolerance to a variety of abiotic stresses in different plant species. Replacing down-regulated ferredoxin at the acceptor side of photosystem I (PSI) with its isofunctional counterpart electron carrier (flavodoxin) is another applicable strategy to strengthen the photosynthetic apparatus of plants under stressful conditions. Heterologous expression of microbially-sourced flavodoxin (Fld) in higher plants compensates for the deficiency of ferredoxin expression and enhances their stress tolerance. BADH and Fld are multifunctional transgenes that increase the stress tolerance of different plant species and maintain their production under stressful situations by protecting and enhancing their photosynthetic apparatus. In addition to increasing stress tolerance, both BADH and Fld genes can improve the productivity, symbiotic performance, and longevity of plants. Because of the multigenic and complex nature of abiotic stresses, the concomitant delivery of BADH and Fld transgenes can lead to more satisfying results in desired plants, as these two genes enhance plant stress tolerance through different mechanisms, and their cumulative effect can be much more beneficial than their individual ones. The importance of BADH and Fld genes in enhancing plant productivity under stress conditions has been discussed in detail in the present review.
Do Social Connections and Digital Technologies Act as Social Cure During COVID-19?
Authors: Pandey Vijyendra , Astha Arora , Mishra Neelam , Greeshma Rajgopal , Lakshmana Govindappa , Jeyavel Sundaramoorthy , Rajkumar Eslavath , Prabhu G
Published: April 2021

Although COVID-19 pandemic has re-orientated humans to be more physically healthy and hygienic, it has also persuaded humans to create affiliations and experience a sense of belongingness through social networks and digital technologies. However, amidst these changes, experiences of COVID-19 patients and their perception of the outside world's attitudes toward them appears to be less attended in literature which formed the basis for the current study's objectives. Using qualitative methodology, the present study explored the experiences, perceptions and attitudes of patients and their care-givers' toward COVID-19. The thematic analysis emerged with four major themes. Psychological Experiences of People was generated prominently with sub-themes indicating the perceived experiences like fear of spreading diseases to others, and the need for psychological counseling. Attitude of others toward patients and caregivers revealed that family members and relatives played a major positive role on the patient's mental health, however, the neighbor's stigmatized attitude led to several undesired behaviors. Social Connectedness was another major theme derived from the study. Altruistic volunteers, a sub-theme of Social connectedness have indicated that amidst these negative factors, one can spread social harmony by motivating and supporting the victims with basic needs, financial support, hope and social empathy. Opinions of participants for digital technology through technological aids and preventive measures emphasized an overall positive attitude as it helped the society, in general to maintain social connections as well to curb the rate of COVID-19 cases.
Shyness and Adjustment in Early Childhood in Southeast China: The Moderating Role of Conflict Resolution Skills
Authors: Zhu Jingjing , Fu Rui , Li Yan , Wu Min , Yang Tingting
Published: April 2021

The massive social change in urban China today has led to a decline in the adaptive implications of shyness for child adjustment, yet evidence of this trend in young children is limited. Moreover, the underlying mechanisms that help to explain the associations between shyness and maladjustment remains poorly understood. The primary goal of the present study was to explore the moderating role of conflict resolution skills in the links between shyness and socio-emotional and school adjustment among urban Chinese preschoolers. Data were collected from 360 children (44.4% girls, Mage = 4.72 years, SD = 0.63) in kindergartens using parent ratings, teacher ratings, and child interviews. The analyses indicated that the relations between shyness and adjustment were moderated by child conflict resolution skills, which served to buffer shy children from adjustment problems. The results were discussed in terms of the implications of conflict resolution skills for early adjustment of shy preschoolers in the Chinese context.
The Prevalence of Depression and Its Association With Quality of Life Among Pregnant and Postnatal Women in China: A Multicenter Study
Authors: Bo Hai-Xin , Yang Yuan , Zhang Dong-Ying , Zhang Meng , Wang Pei-Hong , Liu Xiao-Hua , Ge Li-Na , Lin Wen-Xuan , Xu Yang , Zhang Ya-Lan , Li Feng-Juan , Xu Xu-Juan , Wu Hong-He , Jackson Todd , Ungvari Gabor S. , Cheung Teris , Xiang Yu-Tao
Published: April 2021

Background: This study examined the prevalence of depressive symptoms (depression hereafter) and its association with quality of life (QOL) among pregnant and postnatal women in China.

Methods: In this multi-center, cross-sectional study, 1,060 pregnant and postnatal women from eight hospitals were assessed. Depression and QOL were measured using the Edinburgh Postnatal Depression Scale and the World Health Organization Quality of Life Questionnaire - brief version, respectively.

Results: The prevalence of depression was 7.45% (95% CI: 5.87–9.04%) in the sample. Women with depression had lower QOL in physical, psychological, social and environmental domains compared to those without. Women with physical comorbidities were more likely to suffer from depression (OR = 2.391, 95% CI = 1.384–4.130, P = 0.002).

Conclusion: Due to its negative association with QOL, increased attention should be paid to depression in pregnant and postnatal women. Regular screening assessment and preventive measures should be adopted to reduce risk of depression in this population.
Child Mental Health in HIV-Impacted Low-Resource Settings in Developing Countries-Global Research Fellowship: A Research Training Program Protocol
Authors: Ssewamala Fred M. , Sensoy Bahar Ozge , Nakasujja Noeline , Abente Betsy , Nabunya Proscovia , Peer Laura , Zmachinski Lily , Fragale Suzanne , McKay Mary M.
Published: April 2021

Background:Uganda has one of the highest HIV/AIDS rates and poor mental health services. Children and adolescents in communities with persistent poverty, disease (including HIV/AIDS), and violence, are more likely to suffer from chronic mental health problems. Combined, these characteristics negatively impact communities' response to HIV and mental health beginning with children, adolescents, and young adults. Yet, there is limited research capacity in child and adolescent mental health (CAMH), especially in the HIV/AIDS context in Uganda. Hence, this NIH-funded research training program aims to: (1) train three cohorts of early-career investigators at universities or research institutions in Uganda; (2) connect fellows with committed mentors; and (3) define key factors for successful mentorship and training of new investigators.

Methods:CHILD-GRF is a multi-component program that engages selected young investigators in year-round activities for 3 years. Paired with mentors from Washington University in St. Louis and academic institutions in Uganda, fellows participate in a 6-week intensive summer training each year. Year 1 focuses on didactic learning and mentorship. In Year 2, fellows design and conduct their pilot study. Year 3 is devoted to presenting pilot study findings, manuscript preparation/ submission and extramural grant writing.

Discussion:CHILD-GRF seeks to provide a solid foundation for the development and implementation of evidence-based HIV prevention and mental health interventions for youth and families impacted by HIV/AIDS. By producing a sustainable network of well-trained individuals in key research institutions, this program contributes to improving CAMH and HIV prevention efforts, both of which have public health implications.
The University at the Crossroads of Eco-Social Challenges: Pedagogy of Care and the Community of Life for a Transformative Learning
Authors: López-López María Carmen , Martínez-Rodríguez Francisco Miguel , Fernández-Herrería Alfonso
Published: April 2021

What kind of responsibility do universities have with regard to the current emergency created by ecological and socio-economic collapse? This work begins by considering the colonization of universities by neoliberal globalization. Education is one of the areas that appears as a fundamental source of business in the globalized economy, thus reorienting the role of the State in accordance with the New Public Managements (NPM's) educational policy. The NPM is the main instrument responsible for modifying the structure and culture of state services by means of introducing privatization and market-specific mechanisms. But, in so doing, something very important is created: a process of “re-culturing,” the establishment of the “one-track thinking.” It is “endogenous neoliberalism” that promotes the construction of a new identity: the neoliberal view of education from the “entrepreneurial self.” Next, and based on the criticism of the Frankfurt School, we question whether the use of reason—as instrumental reason—exists in neoliberal logic, and how it use is related to morals and ethics. We need alternative ideas that configure a new worldview for a new scenario, one which facilitates a deep civilizational reconstruction. The Community of Life is the fundamental certainty on which we can base a new worldview. We are one human family and, even more, one Earth Community with a common destiny. This perspective exists at an even more inclusive level, in order to integrate all living beings. We need care for the community of life with understanding, compassion, and love. It implies a synthesis, which places us at the doors of wisdom. The ethics of care and its educational translation as Pedagogy of Care, should have, as its main objective, the experiential learning of our reconnection with the Community of Life. Therefore, it would be necessary a truly transformative learning that we, as humanity, will need to carry out. This is where universities are called on to play a strategic role. The changes that must take place in universities have to be based on a new worldview: the Ethics of Care of the Community of Life. Finally, some practical consequences are proposed in this sense.
The “ARTS” of Cell Death in Service of Life: How Do We Force Cancer Cells to Commit Suicide?
Authors: Larisch Sarit
Published: April 2021

Every cell in our body contains a “self-destruction” program. This cell death is a critical process allowing replacement of damaged cells with healthy ones to prevent wide range of diseases. When the cell’s death mechanism gets “stuck” and is not activated, cancer can result. In healthy cells there is a balanced system of proteins, some of which activate the normal death mechanism, and some of which inhibit this process. This is like the system of gas and brakes in a car. Researchers have found that cancer cells lack a protein, called ARTS, which is crucial for activating the cells’ death mechanism. The lack of ARTS causes cancer cells to escape death and become “immortal.” Small ARTS-like molecules have been discovered that can penetrate cancerous cells and reactivate the cell death program, effectively making the cancer cells “commit suicide.” We envision that these ARTS-like molecules will provide novel therapy for cancer.
Reducing Water Scarcity by Reducing Food Loss and Waste
Authors: Marston Landon T. , Read Quentin D. , Brown Samuel P. , Muth Mary K.
Published: April 2021

Water scarcity is a pervasive threat to society that is expected to intensify alongside a growing and more affluent population and a changing climate. In this paper, we review the existing literature to assess the potential of lessening water scarcity by reducing food loss and waste. Existing studies reveal the scope of food loss and waste and its accompanying impact on water resources, thereby providing a foundation for policy action. We highlight existing or proposed food loss and waste reduction measures and review available evidence concerning their impact on water resources. Our review reveals that there is a deficit of research that can guide specific policy interventions aimed at mitigating water scarcity by reducing food loss and waste. Instead, the last decade of research has primarily focused on quantifying the current water footprint of food loss and waste for different locations, points within the supply chain, and food groups. Yet, the degree of uncertainty inherent in these estimates, their lack of precision, and several simplifying assumptions make it difficult to translate this research into robust policy measures to reduce the environmental burden of food loss and waste. We conclude by advancing a research agenda that will (i) quantify and reduce uncertainty through enhanced data collection and methods; (ii) holistically assess policy measures, including system level impacts and feedback; (iii) develop methods and technologies for transparent supply chain tracing. Together, advances in these areas will guide and ground food loss and waste policy toward reducing water scarcity.
Characterization of Nuclear Progesterone Receptor Isoforms in the Term Equine Placenta
Authors: Nagy Ahmed M. , Sathe Swanand R. , Atta Attia H. , Hammam Abdel Mohsen M. , Hsu Walter H.
Published: April 2021

In equine parturition, the role of progestins along with the nuclear progesterone receptor (nPR) signaling pathway in the placenta is not completely clarified. The progestins play an integral role in maintaining myometrial quiescence during the late stage of pregnancy via acting on nPR isoforms (PRA and PRB; PRB is more active than PRA). The current study aimed to determine the PRA and PRB expressions in the term equine placenta at the gene and protein levels. Six term equine placentas were used in this study. Reverse transcription polymerase chain reaction (RT-PCR) was used to quantify the mRNA expression for PRA and PRB. The protein expression was detected using the Western Blot technique. The results revealed that the mRNA and protein expressions for PRA were significantly higher (P < 0.0001) in the term equine placental tissue compared to the mRNA and protein expressions of PRB. These results demonstrated that nPRs are detectable in the term placenta of mares and PRA is the dominant isoform expressed. The present findings raised the possibility that the PRA plays an important role in the parturition process and expulsion of the placenta in mares.
Identification of Potential Biomarkers From Hepatocellular Carcinoma With MT1 Deletion
Authors: Zhang Ruohao , Huang Miao , Wang Hong , Wu Shengming , Yao Jiali , Ge Yingying , Lu Yufei , Hu Qiping
Published: April 2021

Background: Hepatocellular carcinoma (HCC) is one of the deadliest cancers worldwide. Metallothioneins (MTs) are metal-binding proteins involved in multiple biological processes such as metal homeostasis and detoxification, as well as in oncogenesis. Copy number variation (CNV) plays a vital role in pathogenesis and carcinogenesis. Nevertheless, there is no study on the role of MT1 CNV in HCC.

Methods: Array-based Comparative Genomic Hybridization (aCGH) analysis was performed to obtain the CNV data of 79 Guangxi HCC patients. The prognostic effect of MT1-deletion was analyzed by univariate and multivariate Cox regression analysis. The differentially expressed genes (DEGs) were screened based on The Gene Expression Omnibus database (GEO) and the Liver Hepatocellular Carcinoma of The Cancer Genome Atlas (TCGA-LIHC). Then function and pathway enrichment analysis, protein-protein interaction (PPI) and hub gene selection were applied on the DEGs. Lastly, the hub genes were validated by immunohistochemistry, tissue expression and prognostic analysis.

Results: The MT1-deletion was demonstrated to affect the prognosis of HCC and can act as an independent prognostic factor. 147 common DEGs were screened. The most significant cluster of DEGs identified by Molecular Complex Detection (MCODE) indicated that the expression of four MT1s were down-regulated. MT1X and other five hub genes (TTK, BUB1, CYP3A4, NR1I2, CYP8B1) were associated with the prognosis of HCC. TTK, could affect the prognosis of HCC with MT1-deletion and non-deletion. NR1I2, CYP8B1, and BUB1 were associated with the prognosis of HCC with MT1-deletion.

Conclusions: In the current study, we demonstrated that MT1-deletion can be an independent prognostic factor in HCC. We identified TTK, BUB1, NR1I2, CYP8B1 by processing microarray data, for the first time revealed the underlying function of MT1 deletion in HCC, MT1-deletion may influence the gene expression in HCC, which may be the potential biomarkers for HCC with MT1 deletion.
Development of a Novel Prognostic Signature Based on Antigen Processing and Presentation in Patients with Breast Cancer
Authors: Qi Aoshuang , Ju Mingyi , Liu Yinfeng , Bi Jia , Wei Qian , He Miao , Wei Minjie , Zhao Lin
Published: April 2021

Background: Complex antigen processing and presentation processes are involved in the development and progression of breast cancer (BC). A single biomarker is unlikely to adequately reflect the complex interplay between immune cells and cancer; however, there have been few attempts to find a robust antigen processing and presentation-related signature to predict the survival outcome of BC patients with respect to tumor immunology. Therefore, we aimed to develop an accurate gene signature based on immune-related genes for prognosis prediction of BC.

Methods: Information on BC patients was obtained from The Cancer Genome Atlas. Gene set enrichment analysis was used to confirm the gene set related to antigen processing and presentation that contributed to BC. Cox proportional regression, multivariate Cox regression, and stratified analysis were used to identify the prognostic power of the gene signature. Differentially expressed mRNAs between high- and low-risk groups were determined by KEGG analysis.

Results: A three-gene signature comprising HSPA5 (heat shock protein family A member 5), PSME2 (proteasome activator subunit 2), and HLA-F (major histocompatibility complex, class I, F) was significantly associated with OS. HSPA5 and PSME2 were protective (hazard ratio (HR) < 1), and HLA-F was risky (HR > 1). Risk score, estrogen receptor (ER), progesterone receptor (PR) and PD-L1 were independent prognostic indicators. KIT and ACACB may have important roles in the mechanism by which the gene signature regulates prognosis of BC.

Conclusion: The proposed three-gene signature is a promising biomarker for estimating survival outcomes in BC patients.
Clinicopathological Features, Tumor Mutational Burden, and Tumour-Infiltrating Lymphocyte Interplay in ERBB2-Mutated Breast Cancer: In Silico Analysis
Authors: Uchida Shiro , Kojima Takaaki , Sugino Takashi
Published: April 2021

Recent evidence suggests that somatic mutations in ERBB2 activate ERBB2 signaling. These mutations occur at a frequency of approximately 3% in breast cancer (BC). ERBB2 mutations indicate poor prognosis as they are associated with recurrence and metastasis. This study aimed to evaluate the clinicopathological features, immune infiltration levels, tumor mutational burden (TMB), and tumor-infiltrating lymphocytes (TILs) in ERBB2-mutated breast cancer (ERBB2-mutated BC) using a bioinformatic approach and publicly available datasets (i.e., TCGA-BRCA and TIMER2.0). ERBB2-mutated BCs were associated with a high histological grade. ERBB2-mutated BCs comprised invasive breast carcinoma of no special type (21/35, 60%), classic invasive lobular carcinoma (12/35, 34.3%), and pleomorphic invasive lobular carcinoma (2/35, 5.7%). A Kaplan-Meier survival curve demonstrated that ERBB2-mutated BC was associated with a significantly worse prognosis compared to ERBB2 non-mutated BC (p < 0.01). Furthermore, 40% (14/35) of the patients with ERBB2-mutated BC harbored CDH1 mutations. Mutations at L755 and V777 accounted for 30.5% of these mutations in ERBB2-mutated BC, suggesting that these sites are mutational hot spots in BC, particularly in invasive lobular carcinoma. Of the ERBB2-mutated BCs, 8.6% were classified as TIL-high, whereas 77.1% were TILs-low; TMB significantly correlated with TILs (p < 0.05). CD8+ T cell infiltration levels were significantly higher in ERBB2 non-mutated BC. Among ERBB2-mutated BCs, 22.9% were classified as TMB-high, which was significantly higher than the rate in the ERBB2 non-mutated BC (p < 0.01). These findings provide evidence for a link between ERBB2 mutations and high TMB in BC.
Case Report: A Case Report of a Histological Transformation of ALK-Rearranged Adenocarcinoma With High Expression of PD-L1 to Squamous Cell Carcinoma After Treatment With Alectinib
Authors: Zhang Yan , Qin Yaping , Xu Hongen , Yao Qihui , Gao Yalan , Feng Yushu , Ren Jingli
Published: April 2021

We report an anaplastic lymphoma kinase (ALK)-positive patient shows a poor response to the ALK inhibitor alectinib due to the high expression of programmed death-ligand 1 (PD-L1). After treatment with alectinib, the pathological form changed from adenocarcinoma into squamous cell carcinoma without novel genetic changes. This case may reveal a direct relationship between ALK mutation and a high level of PD-L1 expression.
An Assembly Method for the Multistage Rotor of An Aero-Engine Based on the Dual Objective Synchronous Optimization for the Coaxality and Unbalance
Authors: Chen Yue , Cui Jiwen , Sun Xun
Published: April 2021

The assembly quality of an aero-engine directly determines its stability in high-speed operation. The coaxiality and unbalance out of tolerance caused by improper assembly may give rise to complicated vibration faults. To meet the requirements of the dual objective and reduce the test cost, it is necessary to predict the optimal assembly angles of the rotors at each stage during pre-assembly. In this study, we proposed an assembly optimization method for a multistage rotor of an aero-engine. Firstly, we developed a coordinate transmission model to calculate the coordinates of any point in the rotors at each stage during the assembly processes of a multistage rotor. Moreover, we proposed two different pieces of assembly optimization data for the coaxiality and unbalance, and established a dual objective evaluation function of that. Furthermore, we used the genetic algorithm to solve the optimal assembly angles of the rotors at each stage. Finally, the Monte Carlo simulation technique was used to investigate the effects of the geometric measured errors of each rotor on the proposed genetic algorithm. The simulation results show that the process of the dual objective optimization had good convergence, and the obtained optimal assembly angles of each rotor were not affected by the geometric measured errors. In addition, the dual objective optimization can ensure that both the coaxiality and unbalance can approach their respective optimal values to the most extent, and the experimental results also verified this conclusion. Therefore, the assembly optimization method proposed in this study can be used to guide the assembly processes of the multistage rotor of an aero-engine to achieve synchronous optimization for the coaxality and unbalance.
On-Orbit Pulse Phase Estimation Based on CE-Adam Algorithm
Authors: Wang Yusong , Wang Yidi , Zheng Wei
Published: April 2021

Pulse phase is the basic measurements of X-ray pulsar-based navigation, and thus how to estimate a pulse phase for an orbiting spacecraft is important. The current methods for on-orbit pulse phase estimation could provide an accurate estimation performance enhancing with the photon amount, but its central processing unit (CPU) time cost also increases sharply with the increase of photon amount. In this paper, an on-orbit pulse phase estimation method based on the cross-entropy adaptive moment estimation (CE-Adam) algorithm is proposed to reduce the CPU time cost while retaining decent estimation accuracy. This method combines the CE and Adam algorithms, and is able to obtain a global optimum with low CPU time cost. The performance of the proposed algorithm is verified by simulation data and real data from the Neutron Star Internal Composition Detector (NICER). The results show that the proposed algorithm could greatly reduce the CPU time cost, which is about 1.5% of the CE algorithm, and retain similar estimation accuracy of pulse phase with CE algorithm.
Chemical Composition and Broad-Spectrum Insecticidal Activity of the Flower Essential Oil from an Ancient Sicilian Food Plant, Ridolfia segetum
Authors: Badalamenti Natale , Ilardi Vincenzo , Bruno Maurizio , Pavela Roman , Boukouvala Maria C. , Kavallieratos Nickolas G. , Maggi Filippo , Canale Angelo , Benelli Giovanni
Published: April 2021

Several species of the family Apiaceae are aromatic herbs that produce essential oils usable on an industrial scale for pharmaceutical, cosmetic, and food purposes. In particular, some essential oils, such as green insecticides for example, may replace synthetic insecticides, keeping most of their efficacy and avoiding environmental pollution or human poisoning. In the present study, we explored the insecticidal potential of Ridolfia segetum (L.) Moris essential oil (EO) against three different pests: Culex quinquefasciatus Say, Musca domestica L., and Spodoptera littoralis (Boisduval). For this purpose, the EO was obtained by hydrodistillation of flowers and its composition was achieved by gas chromatography/flame ionization detection (GC/FID) and gas chromatography/mass spectrometry (GC/MS). This EO was rich in α-phellandrene (49.3%), β-phellandrene (9.2%), terpinolene (20.7%), and piperitenone oxide (5.9%). Concerning the mosquitocidal efficacy, the EO showed noteworthy toxicity against C. quinquefasciatus 3rd instar larvae, with a LC50 = 27.1 µL L−1 and LC90 = 42.5 µL L−1. Regarding M. domestica, a different toxicity of the R. segetum EO was found on male and female flies, calculating LD50 values of 10.5 and 50.8 µg adult−1, respectively. The EO was also toxic to S. littoralis 3rd instar larvae, achieving LD50 and LD90 values of 37.9 and 99.6 µg larva−1, respectively. Overall, this flower EO, extracted from a traditional Sicilian food plant, merits further investigation for the development of green insecticide formulations to be used in real world conditions, pending a careful assessment of non-target toxicity on beneficial organisms.
Sunflower Husk Biochar as a Key Agrotechnical Factor Enhancing Sustainable Soybean Production
Authors: Klimek-Kopyra Agnieszka , Sadowska Urszula , Kuboń Maciej , Gliniak Maciej , Sikora Jakub
Published: April 2021

Climate change has a decisive impact on the physical parameters of soil. To counteract this phenomenon, the ongoing search for more effective agri-technical solutions aims at the improvement of the physical properties of soil over a short time. The study aimed to assess the effect of biochar produced from sunflower husks on soil respiration (SR), soil water flux (SWF), and soil temperature (ST), depending on its dose and different soil cover (with and without vegetation). Moreover, the seed yield was assessed depending on the biochar fertilization. Field experiments were conducted on Calcaric/Dolomitic Leptosols (Ochric soil). SR, ST, and SWT were evaluated seven times in three-week intervals during two seasons, over 2018 and 2019. It was found that the time of biochar application had a significant effect on the evaluated parameters. In the second year, the authors observed significantly (p < 0.005) higher soil respiration (4.38 µmol s−1 m−2), soil temperature (21.2 °C), and the level of water net transfer in the soil (0.38 m mol s−1 m−2), compared to the first year. The most effective biochar dose regarding SR and soybean yield was 60 t ha−1. These are promising results, but a more comprehensive cost-benefit analysis is needed to recommend large-scale biochar use at this dose.
Assessment of the Content of Dry Matter and Dry Organic Matter in Compost with Neural Modelling Methods
Authors: Wojcieszak Dawid , Zaborowicz Maciej , Przybył Jacek , Boniecki Piotr , Jędruś Aleksander
Published: April 2021

Neural image analysis is commonly used to solve scientific problems of biosystems and mechanical engineering. The method has been applied, for example, to assess the quality of foodstuffs such as fruit and vegetables, cereal grains, and meat. The method can also be used to analyse composting processes. The scientific problem lets us formulate the research hypothesis: it is possible to identify representative traits of the image of composted material that are necessary to create a neural model supporting the process of assessment of the content of dry matter and dry organic matter in composted material. The effect of the research is the identification of selected features of the composted material and the methods of neural image analysis resulted in a new original method enabling effective assessment of the content of dry matter and dry organic matter. The content of dry matter and dry organic matter can be analysed by means of parameters specifying the colour of compost. The best developed neural models for the assessment of the content of dry matter and dry organic matter in compost are: in visible light RBF 19:19-2-1:1 (test error 0.0922) and MLP 14:14-14-11-1:1 (test error 0.1722), in mixed light RBF 30:30-8-1:1 (test error 0.0764) and MLP 7:7-9-7-1:1 (test error 0.1795). The neural models generated for the compost images taken in mixed light had better qualitative characteristics.
Characterising the Agriculture 4.0 Landscape—Emerging Trends, Challenges and Opportunities
Authors: Araújo Sara Oleiro , Peres Ricardo Silva , Barata José , Lidon Fernando , Ramalho José Cochicho
Published: April 2021

Investment in technological research is imperative to stimulate the development of sustainable solutions for the agricultural sector. Advances in Internet of Things, sensors and sensor networks, robotics, artificial intelligence, big data, cloud computing, etc. foster the transition towards the Agriculture 4.0 era. This fourth revolution is currently seen as a possible solution for improving agricultural growth, ensuring the future needs of the global population in a fair, resilient and sustainable way. In this context, this article aims at characterising the current Agriculture 4.0 landscape. Emerging trends were compiled using a semi-automated process by analysing relevant scientific publications published in the past ten years. Subsequently, a literature review focusing these trends was conducted, with a particular emphasis on their applications in real environments. From the results of the study, some challenges are discussed, as well as opportunities for future research. Finally, a high-level cloud-based IoT architecture is presented, serving as foundation for designing future smart agricultural systems. It is expected that this work will positively impact the research around Agriculture 4.0 systems, providing a clear characterisation of the concept along with guidelines to assist the actors in a successful transition towards the digitalisation of the sector.
Microbial Biomass Carbon, Activity of Soil Enzymes, Nutrient Availability, Root Growth, and Total Biomass Production in Wheat Cultivars under Variable Irrigation and Nutrient Management
Authors: Kumar Bipin , Dhar Shiva , Paul Sangeeta , Paramesh Venkatesh , Dass Anchal , Upadhyay Pravin Kumar , Kumar Amit , Abdelmohsen Shaimaa A. M. , Alkallas Fatemah H. , El-Abedin Tarek K. Zin , Elansary Hosam O. , Abdelbacki Ashraf M. M.
Published: April 2021

Intensive mono-cropping without a balanced supply of nutrients and declining water resources are degrading soil health, and as a consequence, agriculture production is becoming unsustainable and causing environmental degradation. The field experiment was conducted during Rabi season to assess the effect of an irrigation schedule, nutrient management, and wheat (Triticum aestivum L.) varieties on soil microbial biomass carbon (SMBC) and soil enzymes activities. Two nutrient levels, recommended rate of chemical fertilizer (RDF) and 50% RDF + 50% recommended dose of nitrogen (RDN) through farmyard manure (FYM) designated as Integrated Nutrient Sources (INS), and three irrigations levels, one irrigation at crown root initiation (CRI), two irrigations at CRI and flowering stages, and five irrigations at all main stages of the crop (CRI, tillering, jointing, flowering, and grain filling) were allocated to main-plots while four varieties of wheat, HD 2967, WR 544, HD 2987, and HD 2932, were allocated to sub-plots. The results revealed that SMBC and activities of dehydrogenase, alkaline phosphatase enzymes, and acid phosphatase were higher under restricted irrigation (irrigation at CRI stage) than other irrigation schedules. SMBC, dehydrogenase, acid phosphatase, and alkaline phosphatase activities were 73.0 µg g soil−1, 86.0 µg TPF g soil−1d−1, 39.6 µg PNP g soil−1 h1, and 81.8 µg PNP g−1 soil h−1, respectively, with the use of INS that was higher than RDF. Root weight and root volume followed a similar pattern. Applying single irrigation at CRI left behind the maximum available nitrogen (166.4 kg ha−1) in soil compared to other irrigation schedules and it was highest (149.31 kg ha−1) with the use of INS. Moreover, total organic carbon (TOC) was 0.44 and 0.43% higher with irrigation at CRI stages and the use of INS, respectively. The INS with single irrigation at the CRI stage is important to improve the root growth, SMBC dehydrogenase, alkaline phosphatase, and acid phosphatase enzyme activity in the wheat production system.
Comparative Analyses Reveal Peroxidases Play Important Roles in Soybean Tolerance to Aluminum Toxicity
Authors: Liu Juge , Wang Xiangting , Wang Ning , Li Yang , Jin Ting , Gai Junyi , Li Yan
Published: April 2021

Aluminum (Al) toxicity is an important barrier to soybean (Glycine max (L.) Merr.) production in acid soils. However, little is known about the genes underlying Al tolerance in soybean. We aim to find the key candidate genes and investigate their roles in soybean tolerance to Al toxicity in this study. Comparative transcriptome analyses of the Al-tolerant (KF) and Al-sensitive (GF) soybean varieties under control and Al stress at 6, 12, and 24 h were investigated. A total of 1411 genes showed specific up-regulation in KF or more up-regulation in KF than in GF by Al stress, which were significantly enriched in the GO terms of peroxidase (POD) activity, transporter activity (including the known Al tolerance-related ABC transporter, ALMT, and MATE), and four families of transcription factors (AP2, C3H4, MYB, WRKY). The expression levels of seven POD genes were up-regulated by Al stress for at least one time point in KF. The H2O2 pretreatment significantly improved Al tolerance of KF, which is likely due to increased POD activity induced by H2O2. Our results suggest that PODs play important roles in soybean tolerance to Al toxicity. We also propose a list of candidate genes for Al tolerance in KF, which would provide valuable insights into the Al tolerance mechanisms in soybean.
Genetic Diversity and Relationships of Terebinth (Pistacia terebinthus L.) Genotypes Growing Wild in Turkey
Authors: Guney Murat , Kafkas Salih , Zarifikhosroshahi Mozhgan , Gundesli Muhammet Ali , Ercisli Sezai , Holubec Vojtěch
Published: April 2021

Genetic diversity and relationships of 54 wild-grown terebinths (Pistacia terebinthus L.) were determined using 40 SSR (simple sequence repeat) markers (38 in silico polymorphic SSR markers and 2 SSR markers). In silico polymorphic SSR analysis, 430 alleles were identified. The number of alleles per locus ranged from 3 to 25 with a mean value of 11 alleles per locus. The values of polymorphism information content (PIC) ranged from 0.34 (CUPOhBa4344) to 0.91 (CUPSiBa4072) with a mean PIC value of 0.68. Genetic distances were estimated according to the UPGMA (Unweighted Pair Group Method with Arithmetic Average), the Structure, and Principal Coordinates (PCoA) based clustering. The structure analysis and UPGMA clustering of the genotypes depicted two major clusters. PCoA results supported cluster analysis results. The dendrogram revealed two major clusters. Forty-two samples were obtained from the Kazankaya canyon and 12 samples from the Karanlıkdere region. The two regions are 130 km apart from each other but in a dendrogram, we did not find geographical isolation. The results proved the efficiency of SSRs for genetic diversity analysis in the terebinth. Based on the results, SSRs can be applied as a trustworthy tool for the evaluation of genetic diversity in terebinth genotypes. Molecular analysis on the terebinth genotypes in this study will promote the germplasm collection and the selection of the populations in future studies on terebinths for genetic mapping, genetic diversity, germplasm characterization, and rootstock breeding.
Antimicrobial-Resistance of Food-Borne Pathogens
Authors: Di Ciccio Pierluigi Aldo
Published: April 2021

The antimicrobial-resistance (AMR) in bacteria represents a major challenge for public health [...]