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OsWRKY78 regulates panicle exsertion via gibberellin signaling pathway in rice

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Journal of Integrative Plant Biology 2024年第4期66卷 771-786页

作者： Enyang Mei mingliang He Min Xu Jiaqi Tang Jiali Liu Yingxiang Liu Zhipeng Hong Xiufeng Li Zhenyu Wang Qingjie Guan Xiaojie tian Qingyun bu State Key Laboratory of Black Soils Conservation and Utilization Key Laboratory of Soybean Molecular Design BreedingNortheast Institute of Geography and AgroecologyChinese Academy of SciencesHarbin 150081China University of Chinese Academy of Sciences Beijing 100049China Key Laboratory of Saline-alkali Vegetation Ecology Restoration Northeast Forestry UniversityMinistry of EducationHarbin 150040China College of Life Science Northeast Forestry UniversityHarbin 150040China

Panicle exsertion is one of the crucial agronomic traits in rice(Oryza sativa).Shortening of panicle exsertion often leads to panicle enclosure and severely reduces seed ***(GA)plays important roles in regulating panicle ***,the underlying mechanism and the relative regulatory network remain ***,we characterized the oswrky78 mutant showing severe panicle enclosure,and found that the defect of oswrky78 is caused by decreased bioactive GA *** analysis demonstrates that OsWRKY78 can directly activate GA biosynthesis and indirectly suppress GA ***,we found OsWRKY78 can interact with and be phosphorylated by mitogen-activated protein kinase(MAPK)kinase OsMAPK6,and this phosphorylation can enhance OsWRKY78 stability and is necessary for its biological *** together,these results not only reveal the critical function of OsWRKY78,but also reveal its mechanism via mediating crosstalk between MAPK and the GA signaling pathway in regulating panicle exsertion.

关键词： gibberellin MAPK cascades OsWRKY78 panicle exsertion rice

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Solar-driven photothermal catalytic CO2 conversion:a review

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Rare Metals 2024年第7期43卷 2913-2939页

作者： Bachirou Guene Lougou Bo-Xi Geng Ru-ming Pan Wei Wang tian-tian Yan Fang-Hua Li Hao Zhang Oraléou Sangué Djandja Yong Shuai Meisam Tabatabaei Daniel Sabi Takou School of Energy Science and Engineering Harbin Institute of Technology MIIT Key Laboratory of Critical Materials Technology for New Energy Conversion and Storage Harbin Institute of Technology State Key Laboratory of Urban Water Resource and Environment Harbin Institute of Technology School of Electrical Engineering and Automation Harbin Institute of Technology Guangdong Provincial Key Laboratory of Distributed Energy Systems Engineering Research Center of None-Food Biomass Efficient Pyrolysis and Utilization Technology of Guangdong Higher Education InstitutesDongguan University of Technology Higher Institution Centre of Excellence (HICoE) Institute of Tropical Aquaculture and Fisheries (AKUATROP)Universiti Malaysia Terengganu Department of Biomaterials Saveetha Dental CollegeSaveetha Institute of Medical and Technical Sciences école Polytechnique d'Abomey-Calavi University of Abomey-Calavi

It is highly desirable to seek green and sustainable technologies,such as employing photo thermal effects to drive energy catalysis processes to address the high energy demand and associated environmental impacts induced by the current *** photothermocatalysis process is an emerging research area with great potential in efficiently converting solar energy through various catalytic ***,achieving simultaneously high conversion efficiency,cyclability,and durability is still a daunting ***,tremendous work is still needed to enhance solar photo thermal catalytic conversion and promote its large-scale *** review developed the principles of coupling solar photon and thermal fields underlying the photothermal effect,exploration of efficient nanocatalysts,development of optofluidic reactor model,and photo thermal synergistic-driven CO2reduction *** ultimate goal was to provide an effective approach that can effectively convert solar energy into photocarriers/hot-electrons and heat,and importantly,can couple them to regulate catalysis reaction pathways toward the production of value-added fuel and chemical energy.

关键词： Photochemistry Photothermal CO 2 catalytic conversion Nanomaterial Solar fuels and chemicals

Effect of cooling method on TiN precipitation behavior of high-titanium high-strength steel during solidification

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Journal of Iron and Steel Research(International) 2024年第7期31卷 1692-1703页

作者： Xue-jian Zhang Guang-wei Yang Yong Wan Yong-hong Wen Chuan-sheng Tang ming-qi Liu Li-je tian Key Laboratory of Metallurgical Emission Reduction and Resources Recycling Anhui University of TechnologyMa'anshan 243002AnhuiChina School of Metallurgical Engineering Anhui University of TechnologyMa'anshan 243002AnhuiChina Baosteel Central Research Institute Baoshan Iron and Steel Co.Ltd.Shanghai 201999China

Metallographic microscopy,scanning electron microscopy and TiN growth thermodynamic and kinetic equations were used to investigate the morphology,quantity,and size of TiN in the center of high-titanium high-strength steels under different solidification cooling *** results showed that TiN in the center of the experimental steels mainly existed in three forms:single,composite(Al2O3-TiN),and multi-particle *** began precipitating at around 1497℃(solidification fraction of 0.74).From the end of melting to solidification for 180 s,the cooling rates in the center of the experimental steels for furnace cooling,air cooling,refractory mold cooling,and cast iron mold cooling tended to stabilize at 0.17,0.93,1.65,and 2.15℃/s,*** size of TiN in the center of the experimental steel cooled using furnace cooling was mainly concentrated in the 5-15 pm *** contrast,the size of TiN in the center of the experimental steels cooled using air cooling,refractory mold cooling,and cast iron mold cooling were mainly concentrated in the 1-5 pm *** addition,their density of TiN in the center of the experimental steels is signif-icantly higher than that of the furnace-cooled experimental *** and kinetic precipitation models of TiN established predicted the growth size of TiN in a high-titanium high-strength steel when the solidification cooling rates are not below 0.93℃/s.

关键词： High-titanium steel Cooling method TiN Thermodynamics Kinetics

Preoperative blood markers and intra-abdominal infection after colorectal cancer resection

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World Journal of Gastrointestinal Surgery 2024年第2期16卷 451-462页

作者： Chang-Qing Liu Zhong-Bei Yu Jin-Xian Gan tian-ming Mei Department of Gastrointestinal Anorectal Surgery Suzhou Hospital Affiliated to Anhui Medical UniversitySuzhou 234000Anhui ProvinceChina

BACKGROUND Colorectal cancer(CRC)has one of the highest morbidity and mortality rates among digestive tract ***-abdominal infection(IAI)is a common postoperative complication that affects the clinical outcomes of patients with CRC and hinders their rehabilitation ***,the factors influencing abdominal infection after CRC surgery remain unclear;further,prediction models are rarely used to analyze preoperative laboratory indicators and postoperative *** To explore the predictive value of preoperative blood markers for IAI after radical resection of *** The data of 80 patients who underwent radical resection of CRC in the Anorectal Surgery Department of Suzhou Hospital affiliated with Anhui Medical University were *** patients were categorized into IAI(n=15)and non-IAI groups(n=65)based on whether IAI *** factors were compared;general data and laboratory indices of both groups were *** relationship between the indicators was ***,a nomogram prediction model was developed and evaluated;its utility and clinical applic-ability were *** The risk factors for IAI after radical resection of CRC were neutrophil-lymphocyte ratio(NLR),platelet-lymphocyte ratio(PLR),systemic immune-inflammation index(SII),and carcinoembryonic antigen(CEA)*** was correlated with PLR and SII(r=0.604,0.925,and 0.305,respectively),while PLR was correlated with SII(r=0.787).The nomogram prediction model demonstrated an area under the curve of 0.968[95%confidence interval(CI):0.948-0.988]in the training set(n=60)and 0.926(95%CI:0.906-0.980)in the validation set(n=20).The average absolute errors of the calibration curves for the training and validation sets were 0.032 and 0.048,respectively,indicating a good model *** decision curve analysis curves demonstrated high net income above the 5%threshold,indicating the clinical practicality of the *** The nomogram model constructed

关键词： Radical resection of colorectal cancer Inflammatory factors Intra-abdominal infection Predictive model Blood markers

Novel subtype of obesity influencing the outcomes of sleeve gastrectomy:Familial aggregation of obesity

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World Journal of Gastroenterology 2024年第13期30卷 1887-1898页

作者： Ze-Yu Wang Yun-Fei Qu tian-ming Yu Zeng-Lin Liu Yu-Gang Cheng ming-Wei Zhong San-Yuan Hu Department of General Surgery The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan HospitalJinan 250000Shandong ProvinceChina Department of Postgraduate Shandong First Medical University and Shandong Academy of Medical SciencesJinan 250000Shandong ProvinceChina Department of General Surgery Shandong Provincial Qianfoshan HospitalCheeloo College of Medicine Shandong UniversityJinan 250000Shandong ProvinceChina State Key Laboratory of Integration and Innovation of Classic Formula and Modern Chinese Medicine Lunan Pharmaceutical Group Co.Ltd.Linyi 276005Shandong ProvinceChina

BACKGROUND Differences in the preoperative characteristics and weight loss outcomes after sleeve gastrectomy(SG)between patients with familial aggregation of obesity(FAO)and patients with sporadic obesity(SO)have not been *** To explore the impact of SG on weight loss and the alleviation of obesity-related comorbidities in individuals with *** A total of 193 patients with obesity who underwent SG were *** with FAO/SO were matched 1:1 by propensity score matching and were categorized into 4 groups based on the number of first-degree relatives with obesity(1 SO vs 1FAO,2SO vs 2FAO).The baseline characteristics,weight loss outcomes,prevalence of obesity-related comorbidities and incidence of major surgeryrelated complications were compared between *** We defined FAO as the presence of two or more first-degree relatives with *** with FAO did not initially show significant differences in baseline data,short-term postoperative weight loss,or obesity-related comorbidities when compared to patients with SO ***,distinctions between the two groups became evident at the two-year mark,with statistically significant differences in both percentage of total weight loss(P=0.006)and percentage of excess weight loss(P<0.001).The FAO group exhibited weaker remission of type 2 diabetes mellitus(T2DM)(P=0.031),hyperlipidemia(P=0.012),and non-alcoholic fatty liver disease(NAFLD)(P=0.003)as well as a lower incidence of acid reflux(P=0.038).CONCLUSION FAO patients is associated with decreased mid-to-long-term weight loss outcomes;the alleviation of T2DM,hyperlipidemia and NAFLD;and decreased incidence of acid reflux postoperatively.

关键词： Obesity Bariatric surgery Sleeve gastrectomy Family history Weight loss

Bilateral globus pallidus internus-deep brain stimulation in a 5-year-old boy with SGCE-related myoclonus dystonia syndrome

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Pediatric Investigation 2024年第2期8卷 154-156页

作者： Xiaojuan tian Changhong Ding ming Liu Lifang Dai Zixing Xie Tie Fang Department of Neurology Neurological CenterBeijing Children’s HospitalCapital Medical UniversityNational Center For Children’s HealthBeijingChina Department of Functional Neurosurgery Neurological CenterBeijing Children’s HospitalCapital Medical UniversityNational Center For Children’s HealthBeijingChina

To the editor:Myoclonus-dystonia syndrome(MDS)(OMIM15990)is a heritable disorder characterized by early onset subcortical myoclonic jerks and/or less prominent *** leads to disability and is often refractory to medical treatment.1 Deep brain stimulation(DBS)for the treatment of refractory MDS has been proven effective in adults for reducing both myoclonic jerks and dystonia.1,2,3 Here,we describe the application of bilateral globus pallidus internus(GPi)DBS in a 5-year-old boy diagnosed with MDS.

关键词： globus editor Deep

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Carbon-coated hybrid crystals with fast electrochemical reaction kinetics for ultra-stable and high-load sodium-ion batteries

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Rare Metals 2024年第2期43卷 647-657页

作者： Chuan Ou ming-Dong Tan Zhen-Bang Li Zhao-Jie Li Fei tian Zheng-Ping Qiao Dan-Ni Lei Cheng-Xin Wang State Key Laboratory of Optoelectronic Materials and Technologies School of Materials Science and EngineeringSun Yat-Sen UniversityGuangzhou510275China

Owing to its high theoretical capacity and low cost,Sn has attracted significant attention in sodium-ion ***,the slow kinetics of electrochemical reactions and the rapid decay of capacity resulting from drastic changes in the volume of Sn,as well as persistent side reactions between Sn and the organic electrolyte during the(de)sodium process,have limited its *** improve the electrochemical performance of Sn-based materials,the bottom-up method is normally used to prepare carbon-coated ***,its complex preparation processes and harsh conditions make it unsuitable for practical ***,a carbon-coated hybrid crystal composite(Sn/SnO_(x)@C)was prepared using an up-bottom method with commercial Sn/SnO *** effects accelerate the electrochemical kinetics and inhibit the coarsening of Sn *** Sn/SnO_(x)@C composite electrode exhibited capacity retention of 80.7%even after approximately 1000 cycles(360.4 mAh·g^(−1)) at a current density of 1 A·g^(−1).The high-load Na_(3)V_(2)(PO4)3||Sn/SnO_(x)@C full cell presents a capacity retention rate of 91.7%after 150 cycles at the current density of 0.5 A·g^(−1).This work may significantly accelerate the commercialization of the Sn/SnO_(x)@C composite in sodium-ion batteries with high energy density.

关键词： Sodium-ion batteries(SIBs) Sn-based anode Ultraviolet curing Up-bottom method

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Computed tomography-based radiomics to predict early recurrence of hepatocellular carcinoma post-hepatectomy in patients background on cirrhosis

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World Journal of Gastroenterology 2024年第15期30卷 2128-2142页

作者： Gui-Xiang Qian Zi-Ling Xu Yong-Hai Li Jian-Lin Lu Xiang-Yi bu ming-Tong Wei Wei-Dong Jia Department of Hepatic Surgery Anhui Provincial HospitalThe First Affiliated Hospital of USTCDivision of Life Science and MedicineUniversity of Science and Technology of ChinaHefei 230001Anhui ProvinceChina Department of Hepatic Surgery Anhui Provincial Hospital Affiliated to Anhui Medical UniversityAnhui Medical UniversityHefei 230001Anhui ProvinceChina Department of Anorectal Surgery the First People’s Hospital of HefeiHefei 230001Anhui ProvinceChina

BACKGROUND The prognosis for hepatocellular carcinoma(HCC)in the presence of cirrhosis is unfavourable,primarily attributable to the high incidence of *** To develop a machine learning model for predicting early recurrence(ER)of posthepatectomy HCC in patients with cirrhosis and to stratify patients’overall survival(OS)based on the predicted risk of *** In this retrospective study,214 HCC patients with cirrhosis who underwent curative hepatectomy were *** feature selection was conducted using the least absolute shrinkage and selection operator and recursive feature elimination ***-radiologic features were selected through univariate and multivariate logistic regression *** machine learning methods were used for model comparison,aiming to identify the optimal *** model’s performance was evaluated using the receiver operating characteristic curve[area under the curve(AUC)],calibration,and decision curve ***,the Kaplan-Meier(K-M)curve was used to evaluate the stratification effect of the model on patient *** Within this study,the most effective predictive performance for ER of post-hepatectomy HCC in the background of cirrhosis was demonstrated by a model that integrated radiomics features and clinical-radiologic *** the training cohort,this model attained an AUC of 0.844,while in the validation cohort,it achieved a value of *** K-M curves illustrated that the combined model not only facilitated risk stratification but also exhibited significant discriminatory ability concerning patients’*** The combined model,integrating both radiomics and clinical-radiologic characteristics,exhibited excellent performance in HCC with *** K-M curves assessing OS revealed statistically significant differences.

关键词： Machine learning Radiomics Hepatocellular carcinoma Cirrhosis Early recurrence Overall survival Computed tomography Prognosis Risk factor Delta-radiomics

Machine learning-based predictions of current and future susceptibility to retrogressive thaw slumps across the Northern Hemisphere

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Advances in Climate Change Research 2024年第2期15卷 253-264页

作者： Jing LUO Guo-An YIN Fu-Jun NIU tian-Chun DONG Ze-Yong GAO ming-Hao LIU Fan YU State Key Laboratory of Frozen Soil Engineering Northwest Institute of Eco-Environment and ResourcesChinese Academy of SciencesLanzhou 730000China China Railway Qinghai-Tibet Group Co. LtdXining 810000China University of Chinese Academy of Sciences Beijing 100049China

Retrogressive thaw slumps(RTSs)caused by the thawing of ground ice on permafrost slopes have dramatically increased and become a common permafrost hazard across the Northern Hemisphere during previous ***,a gap remains in our comprehensive understanding of the spatial controlling factors,including the climate and terrain,that are conducive to these RTSs at a global *** machine learning methodologies,we mapped the current and future RTSs susceptibility distributions by incorporating a range of environmental factors and RTSs *** identified freezing-degree days and maximum summer rainfall as the primary environmental factors affecting RTSs *** final ensemble susceptibility map suggests that regions with high to very high susceptibility could constitute(11.6±0.78)%of the Northern Hemisphere's permafrost *** juxtaposed with the current(2000-2020)RTSs susceptibility map,the total area with high to very high susceptibility could witness an increase ranging from(31.7±0.65)%(SSP585)to(51.9±0.73)%(SSP126)by the *** insights gleaned from this study not only offer valuable implications for engineering applications across the Northern Hemisphere,but also provide a long-term insight into the potential change of RTSs in permafrost regions in response to climate change.

关键词： Retrogressive thaw slump Machine learning Susceptibility map Permafrost Northern Hemisphere