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Spastin and alsin protein interactome analyses begin to reveal key canonical pathways and suggest novel druggable targets

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Neural regeneration research 2025年第3期20卷 725-739页

作者： Benjamin r.Helmold Angela Ahrens Zachary Fitzgerald P.Hande Ozdinler Department of Neurology Feinberg School of MedicineNorthwestern UniversityChicagoILUSA Center for Molecular Innovation and Drug Discovery Center for Developmental TherapeuticsChemistry of Life Processes InstituteNorthwestern UniversityEvanstonILUSA Mesulam Center for Cognitive Neurology and Alzheimer’s Disease Feinberg School of MedicineNorthwestern UniversityChicagoILUSA Feinberg School of Medicine Les Turner ALS Center at Northwestern UniversityChicagoILUSA

Developing effective and long-term treatment strategies for rare and complex neurodegenerative diseases is challenging. One of the major roadblocks is the extensive heterogeneity among patients. This hinders understanding the underlying disease-causing mechanisms and building solutions that have implications for a broad spectrum of patients. One potential solution is to develop personalized medicine approaches based on strategies that target the most prevalent cellular events that are perturbed in patients. Especially in patients with a known genetic mutation, it may be possible to understand how these mutations contribute to problems that lead to neurodegeneration. Protein–protein interaction analyses offer great advantages for revealing how proteins interact, which cellular events are primarily involved in these interactions, and how they become affected when key genes are mutated in patients. This line of investigation also suggests novel druggable targets for patients with different mutations. Here, we focus on alsin and spastin, two proteins that are identified as “causative” for amyotrophic lateral sclerosis and hereditary spastic paraplegia, respectively, when mutated. Our review analyzes the protein interactome for alsin and spastin, the canonical pathways that are primarily important for each protein domain, as well as compounds that are either Food and Drug Administration–approved or are in active clinical trials concerning the affected cellular pathways. This line of research begins to pave the way for personalized medicine approaches that are desperately needed for rare neurodegenerative diseases that are complex and heterogeneous.

关键词： ALS2 alsin amyotrophic lateral sclerosis hereditary spastic paraplegia neurodegenerative diseases personalized medicine precision medicine protein interactome protein-protein interactions SPAST spastin

Multi objective prediction and optimization of control parameters in the milling of aluminium hybrid metal matrix composites using ANN and Taguchi-grey relational analysis

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Defence Technology（防务技术） 2019年第4期15卷 545-556页

作者： S.Ajith Arul daniel r.Pugazhenthi r.Kumar S.Vijayananth Department of Mechanical Engineering Vels Institute of ScienceTechnology and Advanced Studies

This study aims to optimize the input parameters such as mass fraction and particle size of SiC along with depth of cut,feed and cutting speed in the milling of Al5059/SiC/*** hybrid metal matrix composites are generally fabricated by reinforcing of different sizes(10,20,40 μm)of SiC with aluminium at a different levels(5%,10%& 15%)whereas the MoS2 addition is fixed as 2%.The effect of each control factor on response variables are analyzed through Taguchi S/N ratio ***,the most significant method for prediction of response parameters is satisfied by ANN model than the regression *** of variance(ANOVA)results envisage that mass fraction of SiC,feed rate is the most domineering factor on response variable.

关键词： Silicon carbide Temperature Surface roughness Cutting forces Artificial neural network Grey relational analysis

Social interactivity in pigeon courtship behavior

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Current Zoology 2017年第1期63卷 85-95页

作者： Emma L.r. WArE daniel r. SAUNDErS Nikolaus F, TrOJE Department of Psychology Queen's University Kingston Ontario K7L 3N6 Canada Centre for Neuroscience Studies Queen's University Kingston Ontario K7L 3N6 Canada Wellesley Institute Toronto Ontario M4V 3B Canada Centre for Brain/Mind Sciences University of Trento Trento Italy Department of Biology Queen's University Kingston K7L 3N6 Canada

A closed-loop teleprompter system was used to isolate and manipulate social interactivity in thenatural courtship interactions of pigeons Columbia livia. In Experiment 1, a live face-to-face real-time interaction between 2 courting pigeons （Live） was compared to a played back version of thevideo stimulus recorded during the pairs Live interaction. We found that pigeons were behavinginteractively; their behavior depended on the relationships between their own signals and those oftheir partner. In Experiment 2, we tested whether social interactivity relies on spatial cues presentin the facing direction of a partner＇s display. By moving the teleprompter camera 90~ away from itsoriginal location, the partner＇s display was manipulated to appear as if it is directed 90~ away fromthe subject. We found no effect of spatial offset on the pigeon＇s behavioral response. In Experiment3, 3 time delays, 1 s, 3s, and 9s, a Live condition, and a playback condition were chosen to investi-gate the importance of temporal contiguity in social interactivity. Furthermore, both opposite-sex（courtship） and same-sex （rivalry） pairs were studied to investigate whether social-context affectssocial interactivity sensitivity. Our results showed that pigeon courtship behavior is sensitive totemporal contiguity. Behavior declined in the 9 s and Playback conditions as compared to Live con-dition and the shorter time delays. For males only, courtship behavior also increased in the 3-sdelay condition. The effect of social interactivity and time delay was not observed in rivalry inter-actions, suggesting that social interactivity may be specific to courtship.

关键词： courtship behavior, pigeons, social interactivity, spatial offset, time delay, video playback.

Land cover classification of remotely sensed image with hierarchical iterative method

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Progress in Natural Science:Materials International 2005年第5期15卷 442-447页

作者： LI Peijun* and HUANG Yingduan(Institute of remote Sensing and gis, Peking University, Beijing 100871, China) Inst. of remote Sensing and gis Peking Univ. Beijing 100871 China

Based on the analysis of the single-stage classification results obtained by the multitemporal SPOT 5 and Landsat 7 ETM+ multispectral images separately and the derived variogram texture, the best data combinations for each land cover class are selected, and the hierarchical iterative classification is then applied for land cover mapping. The proposed classification method combines the multitemporal images of different resolutions with the image texture, which can greatly improve the classification accuracy. The method and strategies proposed in the study can be easily transferred to other similar applications.

关键词： multitemporal iterative classification texture land cover image classification.

The correlation of multi-angle thermal infrared data and the choice of optimal view angles

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Science China Earth Sciences 2004年第6期47卷 570-576页

作者： FAN Wenjie1 & XU Xiru1,2 1.Institute of remote Sensing and gis of Peking University,Beijing 100871,China 2.Center of remote Sensing and gis of Beijing Normal University,Beijing 100875,China Institute of remote Sensing and gis of Peking University Beijing China Center of remote Sensing and gis of Beijing Normal University Beijing China

Based on the matrix formula of thermal infrared radiant system, the components temperature can be retrieved by the inversive matrix. Around the stability problem of retrieved result, the research work we did was focused on (i) the correlation of (wk,j) which is the key to affect the retrieval accuracy, (ii) a general method which can help us find the number of retrievable parameters and evaluate the retrieval error before its performance, (iii) the choice of “optimal viewing angle group” based on the formula of absolute error propagation. The row winter wheat field was chosen as an example. The results can provide a theoretical basis for multi-angle thermal infrared remote sensing and components temperature retrieval.

关键词： components temperature retrieval, correlation, number of retrievable parameters, optimal viewing angle group.

原油裂解对油包裹体均一温度和捕获压力的影响及其地质意义

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地球科学（中国地质大学学报） 2014年第5期39卷 587-599页

作者：平宏伟陈红汉 régis Thiéry 张晖李培军吴楠中国地质大学构造与油气资源教育部重点实验室湖北武汉430074 帕斯卡大学岩浆与火山实验室法国克莱蒙费朗630003 长江大学地球科学学院湖北武汉430100

通过原油裂解动力学和石油包裹体热动力学模拟方法系统阐述了地质条件下原油裂解过程对油包裹体均一温度及捕获压力的影响.结果表明：初始裂解阶段（Tr〈13%,T〈160℃）,油包裹体均一温度随原油裂解呈增大趋势,捕获压力呈减小趋势;随着... 详细信息

通过原油裂解动力学和石油包裹体热动力学模拟方法系统阐述了地质条件下原油裂解过程对油包裹体均一温度及捕获压力的影响.结果表明：初始裂解阶段（Tr〈13%,T〈160℃）,油包裹体均一温度随原油裂解呈增大趋势,捕获压力呈减小趋势;随着裂解程度增大（Tr〈24%,T〈190℃）,油包裹体均一温度随原油裂解呈减小趋势,捕获压力呈增大趋势,但此阶段油包裹体均一温度仍高于初始捕获时均一温度,捕获压力仍小于初始捕获压力;此后,随着原油裂解程度不断增大,油包裹体均一温度持续减小甚至到负值,捕获压力则持续增大甚至超过静岩压力.封闭条件下低程度的原油裂解（T〈160℃,Tr〈13%）只会形成常压或者低压;而较高程度的原油裂解（Tr〉40%）才会形成超压,甚至超过上覆静岩压力（Tr〉70%）.深部原油裂解气勘探中要特别注意地层温度位于160～190℃范围内的常压到低压油气藏,而地层温度高于190℃原油裂解气勘探应以找超压–超高压油气藏为主.

关键词：流体包裹体荧光成熟度均一温度捕获压力超压原油裂解热动力学

Effects of raster resolution on landslide susceptibility mapping:A case study of Shenzhen

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Science China(Technological Sciences) 2008年第S2期51卷 188-198页

作者： TIAN Yuan,XIAO ChenChao,LIU Yu & WU Lun Institute of rS and gis,Peking University,Beijing 100871,China Institute of rS and gis Peking University Beijing China

resolution has been playing a significant role in landslide susceptibility mapping and hazard *** on geographical information system(gis) and information model,the effects of raster resolution on landslide susceptibility mapping are studied in a central area of Shenzhen,*** factors are selected to calculate landslide susceptibility with eleven groups of different resolutions(5 to 190 m).It has been found that a finer resolution does not necessarily lead to a higher accuracy of landslide susceptibility mappings,while the result of 90 m-resolution has the best accuracy and the 150 m-resolution has the worst *** accuracy curve is in a shape of "W" along with resolution decreasing:1) The accuracy decreases from 5 to 70 m;2) and then the best accuracy appears at 90 m,which is almost the same as the mean size of landslides in study area;3) the accuracy decreases again from 110 to 150 m;4) and finally the accuracy increases from 150 to 190 *** sensitivity analysis indicates that the effects of raster resolution are mainly caused by the resolution impact on landform parameter derivation,while factors like geology and human activity are very insensitive to resolutions.A further study shows that in flat,ridge,and slope foot terrains,the susceptibility mapping result is sensitive to resolution,but in the sloping surface area the sensitivity is much less sensitive to *** last,by choosing study areas with different sizes,it has also been found that the optimal resolutions are variable due to size of study *** the study area is larger than a threshold,which is 135 km2 in this study,and the optimal resolution is almost fixed.

关键词： resolution sensitivity landslide susceptibility mapping digital elevation model(DEM) information model

Growth of the tufted-tailed rat

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Integrative Zoology 2007年第4期2卷 205-211页

作者： Vololomboahangy r.rANDrIANJAFY Olga rAMILIJAONA daniel rAKOTONDrAVONY Department of Animal Biology and Ecology University of MahajangaMahajangaMadagascar Department of Animal Biology University of AntananarivoAntananarivoMadagascar

Eliurus myoxinus (rodentia: Nesomyidae, Nesomyinae) is one of the four species of endemic Malagasy rodentsknown to exist in the Ankarafantsika National Park, northwestern Madagascar. In order to study growth parametersand to determine at which age E. myoxinus commences breeding, we used two different techniques: captivebreeding and a capture-mark-release field program in the species’ natural habitat. The data collected on thebreeding of E. myoxinus in captivity demonstrated that females can give birth to a litter of up to four pups, with upto four litters per calendar year. reproduction of E. myoxinus was more likely to be continuous in captivity thanunder natural habitat conditions. If parturition failed, then post-partum mating occurred. Pups had a rapid lineargrowth phase from birth until 1 month of age. Between 1.5 and 2 months of age, the growth rate continued toincrease, but then decreased at around the time of weaning, which occurred by 3.5 months of age. The successivemaximum method of age determination showed that individuals at the “young” stage had an average body length of90 mm and a weight of 30 g and were between 1.5 and 2 months old. The greatest variation in measurements ofjuveniles occurred at the age of 3.5 months. At this stage, sub-adults resembled adults but their external genitaliawere not well developed. Individuals were classified as adults if they had reached a body length of 110 mm and abody weight of 40 g. This occurred at more than 4.5 months of age when the animals were generally reproductivelyactive. The Von Bertalanffy method indicated that individuals reach the adult stage by 6 to 7 months. Males grewmore rapidly than females, reaching adulthood by 5.5 months of age, whereas females only reached adulthoodseveral weeks later. This species is polygamous. The sex ratio of pups at birth favored females by approximately3:1. The higher proportion of female pups at birth may represent a survival strategy of this species, possiblyassociated w

关键词： captive breeding Eliurus myoxinus growth growth rate life cycle.

Deep learning vs conventional learning algorithms for clinical prediction in Crohn's disease: A proof-of-concept study

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World Journal of Gastroenterology 2021年第38期27卷 6476-6488页

作者： Danny Con daniel r van Langenberg Abhinav Vasudevan Department of Gastroenterology and Hepatology Eastern HealthBox Hill 3128VictoriaAustralia Faculty of Medicine Nursing and Health SciencesMonash UniversityBox Hill 3128VictoriaAustralia

BACKGrOUND Traditional methods of developing predictive models in inflammatory bowel diseases(IBD)rely on using statistical regression approaches to deriving clinical scores such as the Crohn's disease(CD)activity ***,traditional approaches are unable to take advantage of more complex data structures such as repeated *** learning methods have the potential ability to automatically find and learn complex,hidden relationships between predictive markers and outcomes,but their application to clinical prediction in CD and IBD has not been explored *** To determine and compare the utility of deep learning with conventional algorithms in predicting response to anti-tumor necrosis factor(anti-TNF)therapy in *** This was a retrospective single-center cohort study of all CD patients who commenced anti-TNF therapy(either adalimumab or infliximab)from January 1,2010 to December 31,*** was defined as a C-reactive protein(CrP)r anti-TNF *** supervised learning algorithms were compared:(1)A conventional statistical learning algorithm using multivariable logistic regression on baseline data only;(2)A deep learning algorithm using a feed-forward artificial neural network on baseline data only;and(3)A deep learning algorithm using a recurrent neural network on repeated *** performance was assessed using area under the receiver operator characteristic curve(AUC)after 10×repeated 5-fold *** A total of 146 patients were included(median age 36 years,48%male).Concomitant therapy at anti-TNF commencement included thiopurines(68%),methotrexate(18%),corticosteroids(44%)and aminosalicylates(33%).After 12 mo,64%had CrPrning algorithm selected the following baseline variables for the predictive model:Complex disease behavior,albumin,monocytes,lymphocytes,mean corpuscular hemoglobin concentration and gamma-glutamyl transferase,and had a cross-valid

关键词： Machine learning Artificial intelligence Precision medicine Personalized medicine Deep learning