中医五形人“木形人”之亚型内涵解析

《灵枢·阴阳二十五人》根据五行理论,基于形神一体,取象运数思维对人的形神进行了五行分类,五五共二十五人。亚型是中医五形人理论模型的具体演绎与表达,具有重要的研究意义,文章为中医五形人亚型——木形人的亚型内涵解析。根据中医五形人理论,中医木形人每一形人可再分为5种亚型:佗佗然、遗遗然、随随然、推推然、枯枯然。中医木形人亚型内涵丰富,然而目前相关研究尚少,未形成体系。因此,本研究试图基于文字学、文献学、理论推导及对3D人脸的样本观察,解析中医木形人亚型的内涵,进一步了解其模型的演绎模式,以更好地指导临床。

中医水形人之亚型内涵解析

《灵枢·阴阳二十五人》根据五行理论,基于形神一体,取像运数思维对人的形神进行了五行分类,五五共二十五人。文章为中医五形人亚型内涵解析系列文章之一——中医水形人的亚型内涵解析。根据中医五形人理论,中医水形人每一形人可再分为5种亚型,分别为汗汗然、颊颊然、纡纡然、洁洁然、安安然。亚型是中医五行人理论模型的具体演绎与表达,具有重要的研究意义。然而,中医水形人之亚型内涵目前相关研究较少。因此,本研究试图基于文字学、文献学、理论推导及对3D人脸的样本观察,解析中医水形人亚型的内涵,以更好地指导临床。

中医土形人之亚型内涵解析

《灵枢·阴阳二十五人》根据五行理论,构建了包含25种亚型的形神分类模型。亚型是中医五形人理论模型的具体演绎与表达,是打开中医五形人理论模型的钥匙,具有重要的研究意义。根据中医五形人理论,中医土形人可再分为5种亚型,分别为敦敦然、婉婉然、坎坎然、枢枢然、兀兀然。原文行文简练,内涵丰富,但是目前相关研究较少。本研究试图基于文字学、文献学、理论推导及对3D人脸的样本观察,解析中医土形人亚型的内涵,以更好地了解中医土形人及亚型的形神特征,更好地指导中医土行人及亚型的临床辨证。

中医五形人“金形人”之亚型内涵解析

《灵枢·阴阳二十五人》根据中医五行理论,构建了包含25种亚型的形神分类模型。亚型是中医五形人理论模型的具体演绎,具有重要的研究意义。文章为中医五形人亚型内涵解析系列文章之一。根据中医五形人理论,中医金形人每一形人可再分为5种亚型,分别为敦敦然、廉廉然,脱脱然、监监然、严严然。原文行文简练,内涵丰富,但是目前相关研究较少。本研究试图基于文字学、文献学、理论推导及对3D人脸的样本观察,解析中医金形人亚型的内涵,以更好地了解中医金形人及亚型的形神特征,更好地指导中医金行人及亚型的临床辨证。

Coordinate-wise monotonic transformations enable privacy-preserving age estimation with 3D face point cloud

The human face is a valuable biomarker of aging,but the collection and use of its image raise significant privacy concerns.Here we present an approach for facial data masking that preserves age-related features using coordinate-wise monotonic transformations.We first develop a deep learning model that estimates age directly from non-registered face point clouds with high accuracy and generalizability.We show that the model learns a highly indistinguishable mapping using faces treated with coordinate-wise monotonic transformations,indicating that the relative positioning of facial information is a low-level biomarker of facial aging.Through visual perception tests and computational3D face verification experiments,we demonstrate that transformed faces are significantly more difficult to perceive for human but not for machines,except when only the face shape information is accessible.Our study leads to a facial data protection guideline that has the potential to broaden public access to face datasets with minimized privacy risks.

Understanding super-enhancers

Super-enhancers are defined as cluster of enhancers with dense TF binding, which can activate proximal cell-identity gene expression. Here we review the identification, func- tional significance of super-enhancers, and their relation- ships with cancer. With the current intense interests in su- per-enhancers, more super-enhancers will be defined and studied in different cell types and tissues and in different developmental and biological contexts to reveal molecular mechanisms of their functions.

中医五形人“火形人”之亚型内涵解析

《灵枢·阴阳二十五人》将五行理论归纳、类比、推演到对人形神的分类上,即分为木形人、火形人、土形人、金形人、水形人,中医五形人每一形人,又可细分为5种亚型,合为二十五人。中医五形人亚型的内涵,古代医家及现代研究者均鲜有研究,亚型是中医五形人理论及模型的诠释与表达,了解亚型的内涵才能真正了解中医五形人理论如何进行推导、演绎,因此具有重要的研究意义。文章试图基于文字学、文献学、理论推导及前期进行的定性研究,结合对16590例3D人脸样本数据库的观察、标注,以中医火形人为例,对其亚型进行解析,以了解中医火形人亚型的生命形态特征、心理内涵及理论模型如何进行演绎,为其形神特征的量化提供理论依据。

The landscape of aging

Aging is characterized by a progressive deterioration of physiological integrity,leading to impaired functional ability and ultimately increased susceptibility to death.It is a major risk factor for chronic human diseases,including cardiovascular disease,diabetes,neurological degeneration,and cancer.Therefore,the growing emphasis on “healthy aging” raises a series of important questions in life and social sciences.In recent years,there has been unprecedented progress in aging research,particularly the discovery that the rate of aging is at least partly controlled by evolutionarily conserved genetic pathways and biological processes.In an attempt to bring full-fledged understanding to both the aging process and age-associated diseases,we review the descriptive,conceptual,and interventive aspects of the landscape of aging composed of a number of layers at the cellular,tissue,organ,organ system,and organismal levels.

A human circulating immune cell landscape in aging and COVID-19

Age-associated changes in immune cells have been linked to an increased risk for infection.However,a global and detailed characterization of the changes that human circulating immune cells undergo with age is lacking.Here,we combined scRNA-seq,mass cytometry and sCATAC-seq to compare immune cell types in peripheral blood collected from young and old subjects and patients with COVID-19.We found that the immune cell landscape was reprogrammed with age and was characterized by T cell polarization from naive and memory cells to effector,cytotoxic,exhausted and reg-ulatory cells,along with increased late natural killer cells,age-associated B cells,inflammatory monocytes and age-associated dendritic cells.In addition,the expression of genes,which were implicated in coron-avirus susceptibility,was upregulated in a cell subtype-specific manner with age.Notably,COVID-19 promoted age-induced immune cell polarization and gene expression related to inflammation and cellular senes-cence.Therefore,these findings suggest that a dysreg-ulated immune system and increased gene expression associated with SARS-CoV-2 susceptibility may at least partially account for COVID-19 vulnerability in the elderly.

A digitized catalog of COVID-19 epidemiology data

COVID-19 is now rapidly spreading worldwide.While the majority of COVID-19 patients show only mild or moderate symptoms,some could deteriorate quickly and may succumb to a sudden death.It is therefore important to identify who will be more likely to develop severe outcomes and be treated with particular or preventive care.Here in this literature survey,we collected epidemiologic and clinical data from 36 articles on 51,270 patients with different severity of COVID-19,aiming to characterize the population that are prone to severe condition and bad outcomes.These data reveal that old males and those with high BMI or underlying diseases,especially cardiovascular disease,hypertension and diabetes,are overrepresented among severe cases.High leukocyte and lymphopenia are common features in severe and critical patients.Upon deterioration of the disease,both CD4^(+) and CD8^(+)T cells are decreased,while almost all serum cytokines,especially pro-inflammatory cytokines,increased.

How should bioinformatics Pls run wet-labs?

With the rapid development of biotechnology,data-driven bioinformatics research is increasingly dependent on data generation from biological wet-labs.At the same time,to gain in-depth knowledge of various biological systems,conventional biology laboratories have become more reliant on the establishment and optimization of advanced bioinformatics methods.Many bioinformatics labs are debating whether to build their own wet-bench or to seek collaborations,while many wet-bench labs are also confused over whether they should build their own dry-labs or likewise seek collaborations.

Immunosuppression Induced by Brain-Specific HDAC6 Knockdown Improves Aging Performance in Drosophila melanogaster

HDAC6 is involved in several biological processes related to aging-associated diseases.However,it was unknown whether HDAC6 could directly regulate lifespan and healthspan.We found that HDAC6 knockdown induced transcriptome changes to attenuate the aging changes in the Drosophila head,particularly on the inflammation and innate immunity-related genes.Whole-body knockdown of HDAC6 extended lifespan in the fly,furthermore brain-specific knockdown of HDAC6 extended both lifespan and healthspan in the fly.Our results established HDAC6 as a lifespan regulator and provided a potential anti-aging target.

Application of Bayesian networks on large-scale biological data

The investigation of the interplay between genes,proteins,metabolites and diseases plays a central role in molecular and cellular biology.Whole genome sequencing has made it possible to examine the behavior of all the genes in a genome by high-throughput experimental techniques and to pinpoint molecular interactions on a genome-wide scale,which form the backbone of systems biology.In particular,Bayesian network(BN)is a powerful tool for the ab-initial identification of causal and non-causal relationships between biological factors directly from experimental data.However,scalability is a crucial issue when we try to apply BNs to infer such interactions.In this paper,we not only introduce the Bayesian network formalism and its applications in systems biology,but also review recent technical developments for scaling up or speeding up the structural learning of BNs,which is important for the discovery of causal knowledge from large-scale biological datasets.Specifically,we highlight the basic idea,relative pros and cons of each technique and discuss possible ways to combine different algorithms towards making BN learning more accurate and much faster.

Targeting Ageing to Decrease Complex Non-Communicable Human Diseases

During the last two centuries, there have been many spectacular advances in medical science, the main consequence of which has been the dramatically reduced burden of infectious diseases. While in the 1800s many people died before reaching adult- hood, nowadays most people survive. Hence average life ex- pectancy in 1800s was around 30-40, which was barely higher than it had been in Greek and Roman times （Finch, 2010）, but nowadays life expectancy in most modernised economies is around 75 - 80. This demographic shift, which has happened in only 200 years, has created a dramatic change in the causes of mortality. The major killers in the modern world are non- communicable diseases （NCDs）： principally cardiovascular disease, cancer and neurodegenerative disorders such as Alz- heimer＇s disease. A major factor that influences susceptibility to all these diseases is age. As we get older, our risk of developing these NCDs increases enormously. For example, the rate of breast cancer in females at age 15-19 is less than 10 per 100,000 population, but this increases to 100 at age 40-44, 275 at age 55--59 and 450 at age 85 ＋ （http：//www.cancerresearchuk.org/ cancer-info/cancerstats/types/breast/incidence/#age）. Ageing has consequently become a major medical, social and economic burden to many countries.