Evaluation of satellite data efficiency in identification of plant groups

Application of remote sensing (RS) and geographical information system (GIS) techniques has been increased in natural sciences. In fact, it is inevitable applying of these techniques in vegetation studies due to the existence of some problems in traditional methods (e.g. sampling, calculation, analysis and so on). On this scope, scientists must have sufficient information about the efficiency of these techniques as a useful tool in their studies. This study aims to evaluate the IRS-P6 LISS III and Landsat ETM⁺ efficiency in plant groups’ identification. In order to this purpose, 143 training samples were collected from areas that showed homogenous composition of plant species in at least area of 3600 m² (60 × 60 m). Coordinates of these training samples were recorded using a GPS device and transferred to a GIS database. Also, ENVI 4.2 package has used to process and analyze the satellites data. Several methods of processing such as; spectral separability, supervised classification and assessment of classification accuracy were used in order to gain a satisfy evaluation of the data efficiency. The results indicated that net farming of alfalfa and Juniperus polycarpus–Artemisia kopetdaghensisi community have the most separability on the satellite images (1.99 for Landsat and 2 for IRS). Against, the least separabilities on the Landsat data were between Ju. polycarpus–Onobrychis cornuta and Ju. polycarpus–Ar. kopetdaghensis communities (1.57) and between Ju. polycarpus–Ar. kopetdaghensis and Ju. polycarpus–Agropyron intermedium (1.53) on the IRS data. According to these results, it is concluded that the satellite data are somedeal able to identify plant groups when vegetation communities are sufficiently homogenous, abundant and spectrally and ecologically separable.     

Evaluation of satellite data efficiency in identification of plant groups

Application of remote sensing (RS) and geographical information system (GIS) techniques has been increased in natural sciences. In fact, it is inevitable applying of these techniques in vegetation studies due to the existence of some problems in traditional methods (e.g. sampling, calculation, analysis and so on). On this scope, scientists must have sufficient information about the efficiency of these techniques as a useful tool in their studies. This study aims to evaluate the IRS-P6 LISS III and Landsat ETM⁺ efficiency in plant groups’ identification. In order to this purpose, 143 training samples were collected from areas that showed homogenous composition of plant species in at least area of 3600 m² (60 × 60 m). Coordinates of these training samples were recorded using a GPS device and transferred to a GIS database. Also, ENVI 4.2 package has used to process and analyze the satellites data. Several methods of processing such as; spectral separability, supervised classification and assessment of classification accuracy were used in order to gain a satisfy evaluation of the data efficiency. The results indicated that net farming of alfalfa and Juniperus polycarpus–Artemisia kopetdaghensisi community have the most separability on the satellite images (1.99 for Landsat and 2 for IRS). Against, the least separabilities on the Landsat data were between Ju. polycarpus–Onobrychis cornuta and Ju. polycarpus–Ar. kopetdaghensis communities (1.57) and between Ju. polycarpus–Ar. kopetdaghensis and Ju. polycarpus–Agropyron intermedium (1.53) on the IRS data. According to these results, it is concluded that the satellite data are somedeal able to identify plant groups when vegetation communities are sufficiently homogenous, abundant and spectrally and ecologically separable.     

Intra-articular injection of stromal vascular fraction for knee degenerative joint disease: a concise review of preclinical and clinical evidence

Autologous fat-derived stromal vascular fraction(SVF) is a mixed cell population that has been used for many years in regenerative plastic surgery.In terms of animal and clinical research,this concise review was performed to evaluate the efficacy of SVF in knee degenerative joint disease(KDJD),which could cause pain,disability and severely affect patients’ lives.Thirteen studies retrieved and screened from the databases were included,including six animal studies and seven clinical trials.The met...     

Insulin resistance in diabetes: The promise of using induced pluripotent stem cell technology

Insulin resistance(IR)is associated with several metabolic disorders,including type 2 diabetes(T2D).The development of IR in insulin target tissues involves genetic and acquired factors.Persons at genetic risk for T2D tend to develop IR several years before glucose intolerance.Several rodent models for both IR and T2D are being used to study the disease pathogenesis;however,these models cannot recapitulate all the aspects of this complex disorder as seen in each individual.Human pluripotent stem cells(hPSCs)can overcome the hurdles faced with the classical mouse models for studying IR.Human induced pluripotent stem cells(hiPSCs)can be generated from the somatic cells of the patients without the need to destroy a human embryo.Therefore,patient-specific hiPSCs can generate cells genetically identical to IR individuals,which can help in distinguishing between genetic and acquired defects in insulin sensitivity.Combining the technologies of genome editing and hiPSCs may provide important information about the genetic factors underlying the development of different forms of IR.Further studies are required to fill the gaps in understanding the pathogenesis of IR and diabetes.In this review,we summarize the factors involved in the development of IR in the insulin-target tissues leading to diabetes.Also,we highlight the use of hPSCs to understand the mechanisms underlying the development of IR.     

Improve survival prediction using principal components of gene expression data

The purpose of many microarray studies is to find the association between gene expression and sample characteristics such as treatment type or sample phenotype. There has been a surge of efforts developing different methods for delineating the association. Aside from the high dimensionality of microarray data, one well recognized challenge is the fact that genes could be complicatedly inter-related, thus making many statistical methods inappropriate to use directly on the expression data. Multivariate methods such as principal component analysis （PCA） and clustering are often used as a part of the effort to capture the gene correlation, and the derived components or clusters are used to describe the association between gene expression and sample phenotype. We propose a method for patient population dichotomization using maximally selected test statistics in combination with the PCA method, which shows favorable results. The proposed method is compared with a currently well-recognized method.     

A Procedure for the Design of Novel Assisting Devices for the Sit-to-Stand

The Sit-to-Stand （STS） is an activity most people perform numerous times daily. Standing up deals with the transition from two stabilized postures, namely seated to standing, with movement of all body segments except the feet. During the STS the body＇s Center of Gravity （COG） is moved upward from a sitting position to a standing position without losing balance and requiring a good coordination of many muscles. Three main phases of the STS movement can be recognized. One begins to stand up by inclining the upper body forward, which moves body mass toward the feet in order to maintain balance after lift-off. Prior to leaving the chair, hip and knee extensor muscles are activated to provide antigravity support for these joints, this action is commonly referred to as ＂weight shift＂. Finally; after leaving the chair, the leg and trunk joints are straightened to achieve upright stance. The STS task can be considered of major importance for impaired and elderly people to achieve minimal mo- bility and independence. In this paper we detail a procedure for the design of assisting devices to be used for the STS. In par- ticular, an experimental procedure is described firstly to track and record point trajectories and the orientation of the trunk during the STS. This analysis is then used to get information for the design of assisting devices. A proposal and simulation results are presented for a novel mechatronic system. In particular, for the case under study experimental tests are used to drive the actua- tion system for the reported simulation. A functional mechatronic scheme is then proposed to control the device during its operation.     

Genetically Modified Pig Models for Human Diseases

Genetically modified animal models are important for understanding the pathogenesis of human disease and developing therapeutic strategies.Although genetically modified mice have been widely used to model human diseases,some of these mouse models do not replicate important disease symptoms or pathology.Pigs are more similar to humans than mice in anatomy,physiology,and genome. Thus,pigs are considered to be better animal models to mimic some human diseases.This review describes genetically modified pigs that have been used to model various diseases including neurological,cardiovascular,and diabetic disorders.We also discuss the development in gene modification technology that can facilitate the generation of transgenic pig models for human diseases.     

Habitat selection by wapiti (Cervus elaphus xanthopygus) in Wandashan Mountains, China, based on habitat availability

In 2004 and 2005, we studied winter habitat use and selection by wapiti in Wandashan Mountains, Heilongjiang Province, China. Using Geographic Information System (GIS) and Remote Sensing (RS), we measured habitat availability in terms of the area of each habitat category in the study area. We compared winter habitats used by wapiti and their availability. The results showed that the habitats used by wapiti were disproportional to their availability. Wapiti preferred clear-cuttings, low vegetation coverage (No. 2, 3 NDVI classes), 200–300 m elevation range, south aspect, and 600–700 m distance range away from roads. They also showed different preferences for feeding and resting. The feeding sites tended to be located at broad-leaved stands and clear-cuttings, No. 2, 3 NDVI classes, and south slope, whereas the bedding sites tended to be clear-cuttings, and No. 2, 3, 4 NDVI classes. Using the logistic regression model to predict the probability of habitat use by wapiti in winter, we found that the overall prediction accuracy was 74.4% for the total habitat samples, with 84.2% for the habitat samples used by wapiti and 62.4% for the control samples correctly predicted by using this model.     

Pharmacokinetics and toxicology of therapeutic proteins: Advances and challenges

Significant progress has been made in understanding pharmacokinetics (PK),pharmacodynamics (PD),as well as toxicity profiles of therapeutic proteins in animals and humans,which have been in commercial development for more than three decades.However,in the PK arena,many fundamental questions remain to be resolved.Investigative and bioanalytical tools need to be established to improve the translation of PK data from animals to humans,and from in vitro assays to in vivo readouts,which would ultimately lead to a higher success rate in drug development.In toxicology,it is known,in general,what studies are needed to safely develop therapeutic proteins,and what studies do not provide relevant information.One of the major complicating factors in nonclinical and clinical programs for therapeutic proteins is the impact of immunogenicity.In this review,we will highlight the emerging science and technology,as well as the challenges around the pharmacokinetic-and safety-related issues in drug development of mAbs and other therapeutic proteins.     

Seasonal and reproductive variation in chemical constituents of scent signals in wild giant pandas

Seasonally reproducing animals show many behavioral and physiological changes during the mating period, including increased signaling for intrasexual competition and mate attraction. We collected 102 anogenital gland secretions(AGS) from marking trees in Foping Nature Reserve, and used gas chromatography mass spectrometry to analyze these chemical composition. Of these marks, all but one were from males, confirmed with DNA analysis. We found that several chemical constituents, especially volatile compounds, were present only during the mating season and that the relative abundance of many compounds changed as a function of breeding season, whereas nonvolatile compounds were lower in the mating season. This seasonal variation in chemical composition of AGS most likely plays an important role in governing giant panda reproduction, including mate location, attraction, and male-male competition. The chemical properties of many of these putative chemosignals—such as volatility and longevity—are suggestive of these roles, and undoubtedly contribute to successful reproduction for this species with a characteristically sophisticated chemical communication system. We also found a number of important differences between the chemical constituents of AGS from wild pandas and those found in previous studies with captive pandas, suggesting that inappropriate chemosignal composition may contribute to poor reproductive success in captive breeding programs.     

Prediction of the Receptorome for the Human-Infecting Virome

The virus receptors are key for the viral infection of host cells. Identification of the virus receptors is still challenging at present. Our previous study has shown that human virus receptor proteins have some unique features including high N-glycosylation level, high number of interaction partners and high expression level. Here, a random-forest model was built to identify human virus receptorome from human cell membrane proteins with an accepted accuracy based on the combination of the unique features of human virus receptors and protein sequences. A total of 1424 human cell membrane proteins were predicted to constitute the receptorome of the human-infecting virome. In addition, the combination of the random-forest model with protein–protein interactions between human and viruses predicted in previous studies enabled further prediction of the receptors for 693 human-infecting viruses, such as the enterovirus, norovirus and West Nile virus.Finally, the candidate alternative receptors of the SARS-Co V-2 were also predicted in this study. As far as we know, this study is the first attempt to predict the receptorome for the human-infecting virome and would greatly facilitate the identification of the receptors for viruses.     

Critical thinking on amyloid-beta-targeted therapy: challenges and perspectives

Amyloid-beta(Aβ) plays a pivotal role in the pathogenesis of Alzheimer's disease(AD) and has been regarded as the main therapeutic target for AD. However, most of the Aβ-targeted clinical trials have not succeeded. Therefore, the Aβ-targeted therapeutic strategy on treating this complex disease needs to be re-evaluated. In this review, we analyzed the challenges and critical points of the current anti-Aβ therapeutic strategies. In addition to Aβ, multiple pathological events such as tau hyperphosphorylation, oxidative stress, and neuroinflammation, which are involved in AD pathogenesis and synergistically drive disease progression, could be important targets for AD treatment. Tertiary prevention strategies are needed for the successful management of AD due to its complex and dynamic pathogenesis. Systemic perspective addressing the disease pathogenesis within and outside the brain, as well as the multidomain intervention targeting risk factors and comorbidities, are important approaches for the therapeutic solutions of AD.     

Unlimited source of human microglia inspiring physiopathological and translational studies of the central nervous system

<正>The retinal organoid is a vital model for studying retinal development and related diseases, especially for the human retina(Jin et al., 2019). The retina constitutes an integral part of the central nervous system(CNS) and originates from neuroectodermal cells during organogenesis. Subsequently,ectodermal cells are typically used for induction and differentiation in the retinal organoid-related studies(Eiraku et al.,     

siRNA, miRNA and HIV: promises and challenges

Small interfering RNA (siRNA) and microRNA (miRNA) are small RNAs of 18-25 nucleotides (nt) in length that play important roles in regulating gene expression. They are incorporated into an RNA-induced silencing complex (RISC) and serve as guides for silencing their corresponding target mRNAs based on complementary base-pairing.The promise of gene silencing has led many researchers to consider siRNA as an anti-viral tool. However, in long-term settings, many viruses appear to escape from this therapeutical strategy. An example of this may be seen in the case of human immunodeficiency virus type-1 (HIV-1) which is able to evade RNA silencing by either mutating the siRNAtargeted sequence or by encoding for a partial suppressor of RNAi (RNA interference). On the other hand, because miRNA targeting does not require absolute complementarity of base-pairing, mutational escape by viruses from miRNAspecified silencing may be more difficult to achieve. In this review, we discuss stratagems used by various viruses to avoid the cells‘ antiviral si/mi-RNA defenses and notions of how viruses might control and regulate host cell genes by encoding viral miRNAs (vmiRNAs).     

Stem cell therapy in intracerebral hemorrhage rat model

Intracerebral hemorrhage(ICH) is a very complex pathology, with many different not fully elucidated etiologies and prognostics. It is the most severe subtype of stroke, with high mortality and morbidity rates. Unfortunately, despite the numerous promising preclinical assays including neuroprotective, anti-hypertensive,and anti-inflammatory drugs, to this moment only symptomatic treatments are available, motivating the search for new alternatives. In this context, stem cell therapy emerged as a promising tool. However, more than a decade has passed, and there is still much to be learned not only about stem cells, but also about ICH itself, and how these two pieces come together. To date, rats have been the most widely used animal model in this research field, and there is much more to be learned from and about them. In this review, we first summarize ICH epidemiology, risk factors, and pathophysiology. We then present different methods utilized to induce ICH in rats, and examine how accurately they represent the human disease. Next, we discuss the different types of stem cells used in previous ICH studies, also taking into account the tested transplantation sites. Finally, we summarize what has been achieved in assays with stem cells in rat models of ICH, and point out some relevant issues where attention must be given in future efforts.     

Microfabrication of Bubbular Cavities in PDMS for Cell Sorting and Microcell Culture Applications

We describe a novel technique, low surface energy Gas Expansion Molding （GEM）, to fabricate microbubble arrays in polydimethylsiloxane （PDMS） which are incorporated into parallel plate flow chambers and tested in cell sorting and microcell cuTture applications. This architecture confers several operational advantages that distinguish this technology approach from currently used methods. Herein we describe the GEM process and the parameters that are used to control microbubble formation and a Vacuum-Assisted Coating （VAC） process developed to selectively and spatially alter the PDMS surface chemistry in the wells and on the microchannel surface. We describe results from microflow image visualization studies conducted to investigate fluid streams above and within microbubble wells and conclude with a discussion of cell culture studies in PDMS.     

Phylogeographic studies of plants in China: Advances in the past and directions in the future

<正>Phylogeography has been one major focus of evolutionary biology in recent years,with many important advances in Chinese species.In this issue,we collected 11 phylogeographic studies of plants by Chinese laboratories. We further synthesized the main findings and patterns emerging from these and previous phylogeographic studies in China and asked where phylogeographic research should be directed in the coming years.Numerous examples have shown that phylogeographic patterns in China did not show an expected expansion-contraction pattern at large scale, mirroring the geological records showing that no unified ice sheet had developed in China during the Quaternary Period.Instead,regional expansions and intraspecific divergences are very common in most studied species during the Quaternary oscillations.Different intraspecific lineages or alleles(haplotypes) were detected in multiple localized refugia,from where regional or local expansions are likely to have started.Hybridizations and introgressions are frequent between intraspecific lineages or between different species.We also reviewed computational methods for phylogeographic analyses.Despite the great progress made in recent years,there remains much to discover about the spatial-temporal dimensions and underlying speciation mechanisms of Chinese plants.Phylogeographic studies represent a key knot that connects the genus phylogeny(macroevolution) and speciation and adaptation (microevolution).Therefore,we advocate that:(i) phylogeographic studies of plants in China should be directed to the closely related species or a monophyletic group(for example,a genus or a section) in the coming years;and (ii) population genetic data based on direct sequencing multiple loci,especially those from nuclear genome and statistical tests should be widely adopted and enforced.The recovered intraspecific divergences and phylogeographic patterns of multiple-species may allow us to better understand the high plant diversity in China and set up concrete hypotheses for studying plant speciation and diversification mechanisms in this region.