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Chemically extracted acellular allogeneic nerve graft combined with ciliary neurotrophic factor promotes sciatic nerve repair

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Neural Regeneration Research 2014年第14期9卷 1358-1364页

作者： Yanru Zhang Hui Zhang kaka katiella Wenhua Huang Institute of International Education Zhengzhou University Institute of Clinical Anatomy Southern Medical University Department of Orthopedics First Affiliated HospitalZhengzhou University Institute of Clinical Medicine Zhengzhou University

A chemically extracted acellular allogeneic nerve graft can reduce postoperative immune rejection, similar to an autologous nerve graft, and can guide neural regeneration. However, it remains poorly understood whether a chemically extracted acellular allogeneic nerve graft combined with neurotrophic factors provides a good local environment for neural regeneration. This study investigated the repair of injured rat sciatic nerve using a chemically extracted acellular allogeneic nerve graft combined with ciliary neurotrophic factor. An autologous nerve anastomosis group and a chemical acellular allogeneic nerve bridging group were prepared as controls. At 8 weeks after repair, sciatic functional index, evoked potential amplitude of the soleus muscle, triceps wet weight recovery rate, total number of myelinated nerve fibers and myelin sheath thickness were measured. For these indices, values in the three groups showed the autologous nerve anastomosis group 〉 chemically extracted acellular nerve graft ＋ ciliary neurotrophic factor group 〉 chemical acellular allogeneic nerve bridging group. These results suggest that chemically extracted acellular nerve grafts combined with ciliary neurotrophic factor can repair sciatic nerve defects, and that this repair is inferior to autologous nerve anastomosis, but superior to chemically extracted acellular allogeneic nerve bridging alone.

关键词： nerve regeneration peripheral nerve injury chemically extracted acellular allogeneic nerve defect repair transplantation ciliary neurotrophic factor autologous nerve neural regeneration

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血管内皮生长因子复合骨形态发生蛋白-2转染骨髓间充质干细胞修复兔股骨头坏死模型

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解剖学杂志 2015年第2期38卷 157-161,167页

作者：张雁儒张辉卡卡马辉李军伟黄文华郑州大学国际教育学院医学实验中心郑州450001 南方医科大学临床解剖学研究所广州510515 郑州大学第一临床医学院骨科郑州450052

目的：探讨血管内皮生长因子（VEGF）联合骨形态发生蛋白（BMP-2）基因转染骨髓间充质干细胞（BMSCs）在治疗兔非创伤性股骨头缺血性坏死（ANFH）中的作用.方法：分离、培养兔BMSCs,采用电转法分别转染重组表达载体pcDNA3.1-BMP-2质粒... 详细信息

目的：探讨血管内皮生长因子（VEGF）联合骨形态发生蛋白（BMP-2）基因转染骨髓间充质干细胞（BMSCs）在治疗兔非创伤性股骨头缺血性坏死（ANFH）中的作用.方法：分离、培养兔BMSCs,采用电转法分别转染重组表达载体pcDNA3.1-BMP-2质粒和重组表达载体pcDNA3.1-VEGF质粒,分为4组,空白组、VEGF组、BMP-2组、混合培养组.免疫蛋白印迹检测各组BMSCs的BMP-2和VEGF蛋白的表达.检测各组碱性磷酸酶（ALP）活性和钙的含量.将64只新西兰大白兔制作ANFH模型,然后随机分为4组,分别转染上述4组质粒,减压后植入ANFH模型,收集股骨头标本分别做X线检查、股骨头组织H-E染色检查.结果：体外实验显示,ALP活性和钙含量,空白组＜VEGF转染组＜BMP-2转染组＜混合转染组.体内实验结果显示第4、8周X线和组织学观察,VEGF和BMP-2真核表达载体联合转染BMSCs组股骨头修复效果优于其他3组.结论：VEGF和BMP-2均能提高BMSCs体外培养中ALP的含量和促进体外培养时BMSCs向骨细胞转化.VEGF复合BMP-2转染BMSCs可增强骨坏死区骨修复和血运重建能力.

关键词：血管内皮生长因子骨形态发生蛋白-2 骨髓间充质干细胞股骨头坏死

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新时代美好生活的发展脉络、价值取向和实践路径

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衡阳师范学院学报 2024年第2期45卷 30-35页

作者：王瑜郭咔咔中共中央党校科学社会主义教研部北京100091 河南大学马克思主义学院河南开封475000

美好生活自古以来就是人们热切追求和持续探索的目标。从发展脉络来看,中华民族实现从站起来、富起来到强起来伟大飞跃的同时,人民的美好生活需要也不断得到满足。从价值取向来看,美好生活以促进人的全面发展为价值基石,以推动社会稳定... 详细信息

美好生活自古以来就是人们热切追求和持续探索的目标。从发展脉络来看,中华民族实现从站起来、富起来到强起来伟大飞跃的同时,人民的美好生活需要也不断得到满足。从价值取向来看,美好生活以促进人的全面发展为价值基石,以推动社会稳定发展为价值导向,以构建人类命运共同体为价值愿景,展现出中国共产党为人民谋幸福、为民族谋复兴、为世界谋大同的责任担当。从实践路径来看,中国共产党始终坚持以人民为中心,彰显根本立场;坚持“四个伟大”,把握总抓手;坚持“两个大局”,传递世界情怀,推动我国美好生活建设的同时携手各国建设更加美好的世界。

关键词：美好生活发展脉络价值取向实践路径

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辛伐他汀预防激素性股骨头坏死的实验研究

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中国当代医药 2016年第2期23卷 11-13,17页

作者：张辉殷力张雁儒卡卡韩奇财郑州大学第一附属医院骨科郑州450052 郑州大学国际教育学院郑州450001

目的研究辛伐他汀对激素性股骨头坏死的预防作用及作用机制。方法将36只新西兰白兔随机分成3组,每组12只。A组每只白兔肌注地塞米松2.5 mg/(kg·d);B组每只白兔口服辛伐他汀20 mg/d、肌注地塞米松2.5 mg/(kg·d);C组每只白兔口服辛伐他... 详细信息

目的研究辛伐他汀对激素性股骨头坏死的预防作用及作用机制。方法将36只新西兰白兔随机分成3组,每组12只。A组每只白兔肌注地塞米松2.5 mg/(kg·d);B组每只白兔口服辛伐他汀20 mg/d、肌注地塞米松2.5 mg/(kg·d);C组每只白兔口服辛伐他汀20 mg/d。第12周检测血脂变化情况,第12周处死后行白兔股骨头组织学观察。结果 A组中血清胆固醇、三酰甘油,一氧化氮(NO)含量与B、C组比较,差异有统计学意义(P0.05)。骨代谢指标NO、骨钙素(OCN)、血浆抗酒石酸酸性磷酶(TRAP-5b)含量:A组与B、C组比较,差异有统计学意义(P0.05)。组织学观察可见A组骨坏死、骨小梁破坏,B组和C组未见此变化。结论辛伐他汀可调节脂肪和骨代谢,降低血脂、抑制骨细胞破坏,预防激素性股骨头坏死的发生。

关键词：辛伐他汀股骨头坏死激素性

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Advanced charge transfer technology for highly efficient and long-lived TADF-type organic afterglow with near-infrared light-excitable property

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Science China Chemistry 2023年第4期66卷 1120-1131页

作者： Guangming Wang Xuefeng Chen Jiahui Liu Shuhui Ding kaka Zhang Key Laboratory of Synthetic and Self-Assembly Chemistry for Organic Functional Molecules Shanghai Institute of Organic ChemistryUniversity of Chinese Academy of SciencesChinese Academy of SciencesShanghai 200032China

Heavy atom effects and n-π*transitions have been frequently reported to enhance room-temperature organic phosphorescence efficiency but lead to shortage of phosphorescence lifetimes.Unlike these reported studies,we conceive the incorporation of advanced charge transfer(CT)technology to boost room-temperature organic afterglow efficiency and simultaneously maintain afterglow lifetimes.Here we design difluoroboronβ-diketonate(BF2bdk)CT compounds with moderate singlet-triplet splitting energy(ΔEST)of around 0.4 e V,and relatively large spin-orbit coupling matrix elements(SOCME(S_(1)-T_(1)),1–10 cm^(-1))to achieve efficient intersystem crossing(ISC)and moderate rates of reverse intersystem crossing(kRISC,1–10 s^(-1)).The advanced CT technology,which includes multiple electron-donating groups and orthogonal donor-acceptor arrangement,have been found to narrowΔESTand enhance both ISC and RISC.Meanwhile,the organic matrices suppress nonradiative decay of BF2bdk’s T1states by their rigid microenvironment.Consequently,thermally activated delayed fluorescence(TADF)-type organic afterglow materials can be achieved with afterglow efficiency up to 83.0%,long lifetimes of 433 ms,excellent processablility,as well as advanced anti-counterfeiting and information encryption.Furthermore,with the aid of up-conversion materials and through radiative energy transfer,TADF-type afterglow materials with aqueous dispersity and near-infrared light-excitable property have been achieved,which paves the way for biomedical applications.

关键词： afterglow charge transfer phosphorescence TADF triplet excited states

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Optimal Islanding for Restoration of Power Distribution Systems Using Prim’s MST Algorithm

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CSEE Journal of Power and Energy Systems 2022年第2期8卷 599-608页

作者： kaka Sanaullah Mingchao Xia Mazhar Hussain Sharafat Hussain Ammar Tahir the School of Electrical Engineering Beijing Jiaotong UniversityBeijing 10044China the School of Computer and Information Technology Beijing Jiaotong UniversityBeijing 10044China

Power systems can suffer outages,causing complete or partial disconnection of their power supply to load centers within the distribution networks.Distributed Generation(DG)plays an essential role in power systems.DG can be used as a back-up power source to enhance the resiliency and reliability of a power system.Island mode operations after outages in an active distributing network(ADN)is an effective way to maintain continuity of the power supply to significant loads.It is a quite complicated task for power system operators to find the power flow path.Previous studies have primarily used pre-defined guidelines to find feasible power flow paths,and have focused on multiple islands for restoration.In these studies,possible restoration pathfinding with DG was the fundamental weakness,and furthermore,the power of DG was limited to pre-defined boundaries in the form of islands.Therefore,in this study,a new algorithm has been proposed,which uses the minimum spanning tree(MST)method to find the most feasible path.The proposed algorithm starts at any random node(in this case,DG),and progresses by selecting the next node with the least cost(weight),thus considering all the nodes through which power will flow.The proposed model is formulated as a multiobjective program considering the priority of loads and minimum power loss.The effectiveness of the proposed model is tested on a modified IEEE69-bus distribution system with the penetration of multiple distributed generation sources at different nodes.Results were compared with the strategies found in literature,and the proposed method was found to be feasible and efficient.

关键词： Active distribution network distributed generation islanding multi-objective minimum spanning tree

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Early Prosthetic Valve Endocarditis with Mycobacterium Tuberculosis after Mitral Valve Replacement: A Case Report

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World Journal of Cardiovascular Surgery 2024年第3期14卷 33-40页

作者： Papa Amath Diagne Mory Camara Papa Ousmane Ba Momar Sokhna Diop Moussa Samba Abdou Lahad Mbengue Jean Claude Ndiogou Dione Myriam Bizrane Marième Soda Mbaye Moussa Seck Diop Toudiani Malam kaka Papa Salmane Ba Papa Adama Dieng Amadou Gabriel Ciss Assane Ndiaye Cardiovascular and Thoracic Surgery Department FANN National University Hospital Dakar Senegal

Background: Tuberculous endocarditis is a rare but serious complication of heart valve replacement surgery. We report the case of a 24-year-old patient, who presented with tuberculous endocarditis after mechanical mitral valve replacement, with a favorable clinical course following anti-tuberculosis treatment. Case Presentation: We report a 24-year-old male patient, admitted to the cardiac surgery department of the Fann Hospital (Dakar, Senegal), for the management of severe mixed (rheumatic and endocarditic) mitral insufficiency with associated tricuspid insufficiency. He had a history of recurrent angina and polyarthralgia in childhood, was hospitalized several times for refractory global cardiac decompensation, and for a suspected infective endocarditis a month before his admission. On admission, the clinical examination revealed signs suggestive of mitral and tricuspid insufficiency. Transthoracic echocardiography revealed severe post-endocarditic mitral insufficiency with A3 amputation, highly mobile 15 mm vegetations on the free edge of the large valve, moderate tricuspid insufficiency, and severe pulmonary artery hypertension. Mechanical mitral valve replacement and tricuspid valve annuloplasty using autologous pericardial strip were performed via median sternotomy. After ten days, the patient presented with global cardiac decompensation associated with a clinico-biological infectious syndrome, and tans-oesophageal echography revealed an abscess at the sinotubular junction, communicating with the aorta. A thoraco-abdomino-pelvic CT scan was done, which revealed a bilateral alveolar-interstitial syndrome with mediastinal lymphadenopathy. Anti-tuberculosis treatment with RHZE was initiated for 06 months. The clinical course was favorable. Conclusion: Tuberculous endocarditis in prostheses is a serious complication of heart valve replacement surgery, which may evolve favorably under medical treatment.

关键词： Tuberculous Endocarditis Prosthetic Valve Endocarditis Mycobacterium Tuberculosis

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Adaptive Islanding Strategy of Sustainable Distribution System for Post-restoration Failures

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CSEE Journal of Power and Energy Systems 2023年第4期9卷 1517-1531页

作者： Qifang Chen kaka Sanaullah Ammar Tahir Mazhar Hussain Ali Raza Meer Mingchao Xia the Beijing Jiaotong University 100044Beijing China.

The power system is susceptible to failures,and further interruptions by subsequent outages which may cause extended events in the formed island.Most of the literature reviewed has focused on island formation after the disconnection of the main grid supply.However,there is still a need to analyze the post-restoration failures to improve the resilience and minimize the pro-longed disconnection of priority customers.The current research investigates the behavior of islanding schemes under secondary collapses and provides an adaptive solution to withstand such severities.A new total active critical node finding methodology is presented which eases the rearrangement of the initially formed island when affected by multiple faults or DG failures.The concept of single islanding with the coordination of multiple DGs is also discussed,in which the DG's power-sharing capacity is not confined to the boundaries of only particular islands.An economic plan is also proposed to select the controlled type DGs to reduce the overall cost of generation by reducing fuel cost.To evaluate the network's effectiveness and robustness,the proposed adaptive method is deployed on an updated IEEE 69-bus distribution system.Index Terms-Active distribution network,distributed generation,multi-objective,post-restoration,single islanding.

关键词： Active distribution network distributed generation multi-objective post-restoration single islanding.

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Cascade Synthesis of Luminescent Difluoroboron Diketonate Compounds for Room-Temperature Organic Afterglow Materials

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Chinese Journal of Chemistry 2022年第21期40卷 2507-2515页

作者： Junbo Li Xuepu Wang Xiaoya Zhao Xuefeng Chen Shuhui Ding Minjian Wu kaka Zhang College of Chemistry and Materials Science Sichuan Normal UniversityChengduSichuan 610068China Key Laboratory of Synthetic and Self-Assembly Chemistry for Organic Functional Molecules Shanghai Institute of Organic ChemistryUniversity of Chinese Academy of SciencesChinese Academy of Sciences345 Lingling RoadShanghai 200032China

Difluoroboronβ-diketonate(BF2bdk)compounds represent an important class of luminescent materials,whereas their synthesis requires multiple steps,which restrict their application in diverse fields.Here we report a cascade reaction to prepare BF2bdk from aromatic ketones,carboxylic acids,trifluoroacetic anhydride and boron trifluoride diethyl etherate.The cascade reaction is very simple and straightforward to produce BF2bdk with desired functional groups in reasonable isolation yields.Further,when some specific BF2bdk compounds are used as luminescent dopants,organic room-temperature phosphorescence with lifetimes>1.0 s and intense afterglow under ambient conditions can be achieved with the assistance by suitable organic matrices.The dopant-matrix materials exhibit excellent processability into desired patterns and large-area panels,and function as efficient donors of excited state energy transfer for the fabrication of red afterglow materials.

关键词： Afterglow Boron Luminescence Phosphorescence Photophysics

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Deep learning methods for biotic and abiotic stresses detection and classification in fruits and vegetables:State of the art and perspectives

Artificial Intelligence in Agriculture

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Artificial Intelligence in Agriculture 2023年第3期9卷 46-60页

作者： Sèton Calmette Ariane Houetohossou Vinasetan Ratheil Houndji Castro Gbêmêmali Hounmenou Rachidatou Sikirou Romain Lucas Glele kakaï Laboratoire de Biomathématiques et d'Estimations Forestières Faculty of Agronomic SciencesUniversity of Abomey-Calavi04 BP 1525CotonouBenin Institut de Formation et de Recherche en Informatique University of Abomey-Calavi01 BP 526CotonouBenin Laboratoire de Défense des Cultures Centre de Recherches Agricoles d'AgonkanmeyInstitut National des Recherches Agricoles du Bénin(INRAB)01 BP 884CotonouBenin

Deep Learning(DL),a type of Machine Learning,has gained significant interest in many fields,including agriculture.This paper aims to shed light on deep learning techniques used in agriculture for abiotic and biotic stress detection in fruits and vegetables,their benefits,and the challenges faced by users.Scientific papers were collected from Web of Science,Scopus,Google Scholar,Springer,and Directory of Open Access Journals(DOAJ)using combinations of specific keywords such as:’Deep Learning’OR’Artificial Intelligence’in combination with fruit disease’,vegetable disease’,‘fruit stress',OR‘vegetable stress'following PRISMA guidelines.From the initial 818 papers identified using the keywords,132 were reviewed after excluding books,reviews,and the irrelevant.The recovered scientific papers were from 2003 to 2022;93%addressed biotic stress on fruits and vegetables.The most common biotic stresses on species are fungal diseases(grey spots,brown spots,black spots,downy mildew,powdery mildew,and anthracnose).Few studies were interested in abiotic stresses(nutrient deficiency,water stress,light intensity,and heavy metal contamination).Deep Learning and Convolutional Neural Networks were the most used keywords,with GoogleNet(18.28%),ResNet50(16.67%),and VGG16(16.67%)as the most used architectures.Fifty-two percent of the data used to compile these models come from the fields,followed by data obtained online.Precision problems due to unbalanced classes and the small size of some databases were also analyzed.We provided the research gaps and some perspectives from the reviewed papers.Further research works are required for a deep understanding of the use of machine learning techniques in fruit and vegetable studies:collection of large datasets according to different scenarios on fruit and vegetable diseases,evaluation of the effect of climatic variability on the fruit and vegetable yield using AI methods and more abiotic stress studies.

关键词： Deep learning Prediction Fruits Vegetables Stress Agricultural yield

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