bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hydroxylation decoration patterns of flavonoids in horticultural crops: chemistry, bioactivity, and biosynthesis
Authors: Liu Yilong , Qian Jiafei , Li Jiajia , Xing Mengyun , Grierson Donald , Sun Chongde , Xu Changjie , Li Xian , Chen Kunsong 
Published: January 2022

Abstract
Flavonoids are the most widespread polyphenolic compounds and are important dietary constituents present in horticultural crops such as fruits, vegetables, and tea. Natural flavonoids are responsible for important quality traits, such as food colors and beneficial dietary antioxidants, and numerous investigations have shown that intake of flavonoids can reduce the incidence of various non-communicable diseases. Analysis of the thousands of flavonoids reported so far has shown that different hydroxylation modifications affect their chemical properties and nutritional values. These diverse flavonoids can be classified based on different hydroxylation patterns in the B, C, and A rings and multiple structure–activity analyses have shown that hydroxylation decoration at specific positions markedly enhances their bioactivities. This review focuses on current knowledge concerning hydroxylation of flavonoids catalyzed by several different types of hydroxylase enzymes. Flavonoid 3′-hydroxylase (F3′H) and flavonoid 3′5′-hydroxylase (F3′5′H) are important enzymes for the hydroxylation of the B ring of flavonoids. Flavanone 3-hydroxylase (F3H) is key for the hydroxylation of the C ring, while flavone 6-hydroxylase (F6H) and flavone 8-hydroxylase (F8H) are key enzymes for hydroxylation of the A ring. These key hydroxylases in the flavonoid biosynthesis pathway are promising targets for the future bioengineering of plants and mass production of flavonoids with designated hydroxylation patterns of high nutritional importance. In addition, hydroxylation in key places on the ring may help render flavonoids ready for degradation, and the catabolic turnover of flavonoids may open the door for new lines of inquiry.
The novel leucine-rich repeat receptor-like kinase MRK1 regulates resistance to multiple stresses in tomato
Authors: Ma Qiaomei , Hu Zhangjian , Mao Zhuo , Mei Yuyang , Feng Shuxian , Shi Kai 
Published: January 2022

Abstract
Leucine-rich repeat receptor-like kinases (LRR-RLKs) are ubiquitous in higher plants and act as receptors of extracellular signals to trigger multiple physiological processes. However, the functions of the majority of LRR-RLKs remain largely unknown, especially in tomato (Solanum lycopersicum L.). Here, we found that MRK1 (Multiple resistance-associated kinase 1), encoding a novel tomato LRR-RLK, was significantly induced by temperature stresses and bacterial pathogen attacks. Knocking out MRK1 impaired tolerance to both cold and heat stress, accompanied by decreased transcript levels of the master regulators C-repeat binding factor 1 (CBF1) and Heat shock transcription factor a-1a (HsfA1a), respectively. In addition, mrk1 mutants were hypersensitive to Pseudomonas syringae pv. tomato DC3000 and Ralstonia solanacearum and showed compromised pattern-triggered immunity (PTI) responses, as evidenced by decreased production of reactive oxygen species and reduced upregulation of PTI marker genes. Moreover, bimolecular fluorescence complementation, split-luciferase assays, and co-immunoprecipitation supported the formation of a complex of MRK1, FLS2, and Somatic embryogenesis receptor kinase (SERK3A/SERK3B) in a ligand-independent manner. This work demonstrates that tomato MRK1 is a novel positive regulator of multiple stress responses and may be a potential breeding target for improving crop stress resistance.
Giant Cutaneous Horn (Cornu Cutaneum) Developing from a Hypertrophic Burn Scar
Authors: Cosansu Nur Cihan , Cetiner Tuba , Yuksekal Gülcan 
Published: January 2022

ABSTRACT
A cornu cutaneum (CC) is a rare lesion. This case report describes a 63-year-old woman with a giant CC lesion on her right hip arising from a hypertrophic burn scar at its base. To the authors’ knowledge, this is the first case described in the literature of a CC that developed from a burn scar.
Phototherapy for Generalized Pruritus of Unknown Origin: Single-Center Experience
Authors: Fisher Shani , Ziv Michael 
Published: January 2022

ABSTRACT

OBJECTIVE
Phototherapy is a well-established therapy in dermatology. However, there is limited evidence regarding phototherapy for the treatment of generalized pruritus of unknown origin (GPUO). The objective of this study was to assess the efficacy and safety of narrowband ultraviolet B (NB-UVB) phototherapy in patients with GPUO.

METHODS
Researchers conducted a retrospective review of the treatment outcomes of patients with GPUO who were treated with NB-UVB between 2004 and 2019 at their facility.

RESULTS
Investigators included 67 patients diagnosed with GPUO treated with NB-UVB. Complete remission was achieved in more than 70% of the patients. No serious adverse events were documented.

CONCLUSIONS
For patients with GPUO, NB-UVB may be a safe and effective treatment option.
Repeatability and Agreement of Two Swept-Source Optical Coherence Tomographers for Anterior Segment Parameter Measurements
Authors: Cheng Shi-Ming , Zhang Jia-Sheng , Li Tian-tian , Wu Ze-tong , Wang Po , Yu A-Yong 
Published: January 2022

Purpose:
The aim was to evaluate the repeatability and agreement of two swept-source optical coherence tomographers for anterior segment parameters in healthy subjects.

Patients and Methods:
Automated mark of scleral spur and angle recess for the CASIA2 and manual mark of scleral spur and angle recess for the Anterion were performed, and then the measurement values of the related parameters were automatically generated. Subjects with pupil diameter (PD) differing by <15% between the 2 devices were included. PD, lens vault (LV), anterior chamber depth (ACD), angle to angle distance (ATA), anterior chamber width (ACW), anterior chamber angle (ACA), angle opening distance (AOD), and trabecular iris space area (TISA) were measured in the horizontal images with both CASIA2 and Anterion. Intraclass correlation coefficient (ICC) was used to evaluate intradevice repeatability. Bland-Altman plots were performed to assess the agreement between the 2 devices.

Results:
Thirty-five right eyes of 35 subjects were included with a mean age of 25.60±3.00 years. The CASIA2 showed moderate to good intradevice repeatability (ICCs ranged from 0.786 to 0.989) whereas the Anterion showed good intradevice repeatability (ICCs ranged from 0.921 to 0.998) for anterior segment parameters. Compared with the CASIA2, the Anterion offered larger values of ACA500/750, AOD500/750, and TISA500/750 but smaller values of PD, LV, ACD, ATA, and ACW. Good agreement for PD, ACD, ATA, and ACW was detected with 95% limits of agreement of −1.02 to 1.02 mm, −0.11 to 0.14 mm, −0.17 to 0.19 mm, −0.13 to 0.28 mm, respectively. Poor agreement for LV, ACA500/750, AOD500/750, and TISA500/750 was achieved with the 2 devices.

Conclusions:
Anterion outperformed CASIA2 on intradevice repeatability. While agreement was noted for some parameters using manual Anterion and automated CASIA2 approaches, poor agreement of LV and angle parameters indicates that measurements from these optical coherence tomography devices should not be considered interchangeable.
Structural insights into G protein activation by D1 dopamine receptor
Authors: Teng Xiao , Chen Sijia , Wang Qing , Chen Zhao , Wang Xiaoying , Huang Niu , Zheng Sanduo 
Published: January 2022

AbstractG protein-coupled receptors (GPCRs) comprise the largest family of membrane receptors and are the most important drug targets. An agonist-bound GPCR engages heterotrimeric G proteins and triggers the exchange of GDP with GTP to promote G proteins activation. A complete understanding of the molecular mechanisms of G proteins activation has been hindered by a lack of structural information of GPCR-G protein complex in nucleotide-bound states. Here, we present the cryoelectron microscopy (cryo-EM) structures of D1 dopamine receptor (D1R)-Gs in the nucleotide-free state, the GDP-bound state and the GTP-bound state with endogenous ligand dopamine. These structures reveal important conformational changes accounting for the release of GDP and the GTP-dependent dissociation of Gα from Gβγ subunits. Combining mutagenesis functional studies, we also identified an important sequence motif in D1R that determines its G protein selectivity. Taken together, these results shed light into the molecular basis of G protein selectivity and the entire molecular signaling events of GPCR-mediated G protein activation.
Addiction recovery stories: Neil Curran in conversation with Lisa Ogilvie
Authors: Curran Neil , Ogilvie Lisa 
Published: January 2022

Purpose
This paper aims to explore the transition from addiction to recovery. It is the second in a series of recovery stories that examine candid accounts of addiction and recovery. Shared components of recovery are considered, along with the change and growth needed to support the transition.

Design/methodology/approach
The CHIME framework comprises five elements important to recovery (Connectedness, Hope, Identity, Meaning and Empowerment). It provides a standard to qualitatively study mental health recovery, having also been applied to addiction recovery. In this paper, an element for Growth is included in the model (G-CHIME), to consider both recovery, and sustained recovery. A first-hand account of addiction recovery is presented, followed by a semi-structured e-interview with the author of the account. This is structured on the G-CHIME model.

Findings
This paper shows that addiction recovery is a remarkable process that can be effectually explained using the G-CHIME model. The significance of each element in the model is apparent from the biography and e-interview presented.

Originality/value
Each account of recovery in this series is unique, and as yet, untold.
How and when high-involvement work practices influence employee innovative behavior
Authors: Wang Zhining , Cui Tao , Cai Shaohan , Ren Shuang 
Published: January 2022

PurposeBased on social information processing (SIP) theory, this study explores the cross-level effect of high-involvement work practices (HIWPs) on employee innovative behavior by studying the mediating role of self-reflection/rumination and the moderating role of transactive memory system (TMS).Design/methodology/approachThis study collects data from 452 employees and their direct supervisors in 94 work units, and tests a cross-level moderated mediation model using multilevel path analysis.FindingsThe results suggest that HIWPs significantly contribute to employee innovative behavior. Both self-reflection and self-rumination mediate the above relationship. TMS not only positively moderates the relationship between HIWPs and self-reflection, but also reinforces the linkage of HIWPs. →self-reflection→employee innovative behavior. Furthermore, TMS negatively moderates the relationship between HIWPs and self-rumination, and attenuates the mediating effect of self-rumination.Practical implicationsThe study suggests that enterprises should invest more in promoting HIWPs and TMS in the workplace. Furthermore, managers should provide employees training programs to enhance their self-reflection, as well as lower self-rumination, in order to facilitate employee innovative behavior.Originality/valueThis research identifies self-reflection and self-rumination as key mediators that link HIWPs to employee innovative behavior and reveals the moderating role of TMS in the process.
Students’ learning sustainability – implicit, explicit or non-existent: a case study approach on students’ key competencies addressing the SDGs in HEI program
Authors: Alm Karin , Beery Thomas H. , Eiblmeier David , Fahmy Tarek 
Published: January 2022

PurposeThis study aims to understand better the student awareness and knowledge on how the Sustainable Development Goals (SDGs) are used in higher education institutions (HEIs) to motivate students’ learning on sustainability. It is essential to consider students’ understanding of sustainability at the end of their studies to assess whether they feel prepared to apply sustainability in their daily work life.Design/methodology/approachThe study has a quantitative case study design, and the specific method used is an online survey with masters’ students using the university student platform EvaSys. The study assesses approaching how students perceive the overall education integrating sustainability into programs and curricula.FindingsThe results showed that work-integrated learning (WIL) projects learning and real-life experiences as part of their studies enhanced the students’ understanding of sustainability. Moreover, the study showed that integrating an understanding of the SDGs in teaching offers universities a way to frame students’ key competencies in ways that allow them to develop their interpersonal competencies as ambassadors for sustainability in their future work life.Practical implicationsThis study supports the argument that WIL and real-life university experiences enhance students’ key competencies critical for sustainability.Originality/valueThe pedagogical approach advanced in this paper addresses how WIL and real-life experiences might develop students’ key competencies on sustainability. This approach indicates that working with SDGs in teaching encourages students to promote their interpersonal competencies for sustainability.
Investigation of tribological properties of environmentally friendly ionic liquids as a potential lubricity improving additives for water-based lubricants
Authors: Kreivaitis Raimondas , Gumbytė Milda , Treinytė Jolanta 
Published: January 2022

Purpose
This paper aims to investigate the tribological properties of two protic ionic liquids used as lubricity-improving additives in the water. Their concentration was optimized for different metal friction pairs including bearing steel, stainless steel and aluminum alloy.

Design/methodology/approach
In this study tribological properties were investigated by using a ball-on-plate reciprocating tribometer. Three different friction pairs were selected: bearing steel-bearing steel; bearing steel-stainless steel; bearing steel-aluminum alloy. To optimize the concentration of investigated protic ionic liquids four concentrations were selected. Wettability was investigated using the droplet method. The corrosiveness of additive-loaded water was investigated using the iron chip method.

Findings
The results show that by using protic ionic liquids the lubricity of water could be greatly improved. However, the friction pair material and additive concentration play a significant role. The positive tribological effect was attributed to the polarity of the additive molecule which tends to form an adsorption layer. The polarity of molecules also leads to better surface wettability. It was also found that both investigated protic ionic liquids can improve the anticorrosion properties of water.

Originality/value
To the best of the authors’ knowledge, this is the first study to present a complex investigation of tribological properties of two protic ionic liquids as additives in the water. In this case, three different metal friction pairs and four additive concentrations were investigated. The results could be interesting to those who are working in the field of water-based lubricants and luck for multipurpose lubricity-improving additives.
Performance characteristics of lubricant based on rapeseed oil containing different amounts of metal-containing additive
Authors: Kandeva Mara , Kalitchin Zhecho , Zadorozhnaya Elena , Vencl Aleksandar 
Published: January 2022

Purpose
The purpose of this study was to investigate the biobased (rapeseed) oil with the addition of different amounts of metal-containing additive in a steel–bronze tribological system. The additional purpose was to find the optimal value of the additive.

Design/methodology/approach
This paper exposes experimental results of the performance characteristics (coefficient of friction (COF), working temperature and wear) of the biolubricant based on rapeseed oil. The amount of commercial metal-containing additive in formulated lubricant was 1, 1.5, 3 and 5 wt.%. All results were compared with the results obtained for the base rapeseed oil. Two different tribometers were used, with the same tribosystem elements materials (bronze and steel). COF experiments were performed under four different normal loads and fixed sliding speed and time. Temperature and wear were continuously monitored.

Findings
Results showed that the metal-containing additive in rapeseed oil reduced all monitored characteristics. It was also found that the dependence of all characteristics on the amount of additive is nonlinear and that there is an optimal value of it.

Originality/value
Owing to growing environmental concerns, vegetable oil-based lubricants and other biodegradable lubricants are expanding their area of application. Currently, one of the most widely used vegetable oil is rapeseed oil. The metal-containing additive used in this study is previously investigated as an addition to mineral- and synthetic-based oils. There are very few studies that investigate its influence on the vegetable oil-based lubricants. In addition, there is no comparative investigation of its influence on several performance characteristics (COF, temperature and wear).
Composition identification and functional verification of bacterial community in disease‐suppressive soils by machine learning
Authors: Zhang Zhenyan , Zhang Qi , Cui Hengzheng , Li Yan , Xu Nuohan , Lu Tao , Chen Jian , Penuelas Josep , Hu Baolan , Qian Haifeng 
Published: January 2022

SummaryIt has been widely reported that probiotic consortia in the rhizosphere can enhance the plant resistance to pathogens. However, the general composition and functional profiles of bacterial community in soils which suppress multiple diseases for various plants remain largely unknown. Here, we combined metadata analysis with machine learning to identify the general patterns of bacterial‐community composition in disease‐suppressive soils. Disease‐suppressive soils significantly enriched Firmicutes and Actinobacteria but showed a decrease in Proteobacteria and Bacteroidetes. Our machine‐learning models accurately identified the disease‐conducive and ‐suppressive soils with 54 biomarker genera, 28 of which were potentially beneficial. We further carried out a successive passaging experiment with the susceptible rps2 mutant of Arabidopsis thaliana invaded by Pseudomonas syringae pv. tomato DC3000 (avrRpt2) for functional verification of potential beneficial bacteria. The disease‐suppressive ability of Kribbella, Nocardioides and Bacillus was confirmed, and they positively activated the pathogen‐associated molecular patterns‐triggered immunity pathway. Results also showed that chemical control by pesticides in agricultural production decreased the disease‐suppressive ability of soil. This study provides a method for accurately predicting the occurrence of multiple diseases in soil and identified potential beneficial bacteria to guide a wide range of multiple‐strain biological control strategies in agricultural management.
Rapid determination of capsaicin concentration in soybean oil by terahertz spectroscopy
Authors: Xia Yiming , Liu Wei , Shi Yule , Younas Shoaib , Liu Changhong , Zheng Lei 
Published: January 2022

AbstractCapsaicin is the key composition of pepper and can be used as a marker of gutter oil for detection. The feasibility of rapid detection of capsaicin concentration in soybean oil was studied by terahertz spectroscopy. Genetic algorithm (GA) and principal component analysis (PCA) as the pretreatment method were used to obtain the best spectral features. Least square‐support vector machine (LS‐SVM), back propagation neural network (BPNN), and partial least squares (PLS) were combined with the pretreatment method to obtain the best determination model. The BPNN was combined with GA to obtain the best quantitative prediction results with the correlation coefficient of prediction (RP), prediction root mean square error (RMSEP), the ratio of prediction to deviation (RPD), and range error ratio (RER) were 0.9309, 0.4030 µg/kg, 17.0421, and 2.4813, respectively. Furthermore, the detection limit of capsaicin could achieve 1.25 µg/kg in soybean oil and the accuracy of discrimination was up to 100% in the prediction set using the LS‐SVM combined with GA pre‐treatment. The results suggested that terahertz spectroscopy together with chemometric methods would be a promising technique for rapid determination of capsaicin concentration in soybean oil. Meanwhile, it is necessary to perform further experiments with real gutter oil samples before applying the method in practice.Practical ApplicationThe combination of terahertz spectroscopy technology and chemometrics is a promising method for the rapid determination of capsaicin concentration in soybean oil with high efficiency.
Characterizing implied volatility functions from agricultural options markets
Authors: McKenzie Andrew M. , Thomsen Michael R. , Adjemian Michael K. 
Published: January 2022

AbstractWe provide the first comprehensive characterization and comparison of implied volatility functions for five major agricultural options markets—corn, soybeans, soft red winter wheat, live cattle, and feeder cattle—using intraday tick data. Our results show that cattle markets exhibit a distinct leftward skew, which is puzzling and indicates that out‐of‐the‐money traded put options are theoretically overpriced. In contrast, we find that grain market implied volatility functions display a flatter, less pronounced smile pattern. We examine market sentiment induced short‐term hedging pressures using Commodity Futures Trading Commission reports, and market uncertainty around Cattle on Feed reports, as potential causes of the cattle markets skew. However, our results show that the explanatory power of our short‐term hedging pressure proxies are only helpful in isolated cases but overall cannot explain the large skews we observe in cattle markets.
Hemodynamics of small arterial return cannulae for venoarterial extracorporeal membrane oxygenation
Authors: Stephens Andrew F. , Wickramarachchi Avishka , Burrell Aidan J. C. , Bellomo Rinaldo , Raman Jaishankar , Gregory Shaun D. 
Published: January 2022

AbstractBackgroundVenoarterial extracorporeal membrane oxygenation (ECMO) provides mechanical support for critically ill patients with cardiogenic shock. Typically, the size of the arterial return cannula is chosen to maximize flow. However, smaller arterial cannulae may reduce cannula‐related complications and be easier to insert. This in vitro study quantified the hemodynamic effect of different arterial return cannula sizes in a simulated acute heart failure patient.MethodsBaseline support levels were simulated with a 17 Fr arterial cannula in an ECMO circuit attached to a cardiovascular simulator with targeted partial (2.0 L/min ECMO flow, 60–65 mm Hg mean aortic pressure—MAP) and targeted full ECMO support (3.5 L/min ECMO flow and 70–75 mm Hg MAP). Return cannula size was varied (13–21 Fr), and hemodynamics were recorded while keeping ECMO pump speed constant and adjusting pump speed to restore desired support levels.ResultsMinimal differences in hemodynamics were found between cannula sizes in partial support mode. A maximum pump speed change of +600 rpm was required to reach the support target, and arterial cannula inlet pressure varied from 79 (21 Fr) to 224 mm Hg (13 Fr). The 15 Fr arterial cannula could provide the target full ECMO support at the targeted hemodynamics; however, the 13 Fr cannula could not due to the high resistance associated with the small diameter.ConclusionsA 15 Fr arterial return cannula provided targeted partial and full ECMO support to a simulated acute heart failure patient. Balancing reduced cannula size and ECMO support level may improve patient outcomes by reducing cannula‐related adverse events.