Jing Yang

• Hunan University, Changsha, China

The Balbiani body (Bb), which was discovered about 170 years ago, is a membraneless organelle in the oocyte in most species. In organisms like Xenopus and Zebrafish, Bb accumulates mitochondria, endoplasmic reticulum (ER), and germline determinants and regulates the proper localization of germline determinants. The Bb forms around the centrosome in...

Spermatogenesis is a biological process within the testis that produces haploid spermatozoa for the continuity of species. Sertoli cells are somatic cells in the seminiferous epithelium that orchestrate spermatogenesis. Cyclic reorganization of the Sertoli cell actin cytoskeleton is vital for spermatogenesis, but the underlying mechanism remains la...

Graph neural networks (GNNs) have indeed shown significant potential in the field of personalized recommendation. The core approach is to reorganize interaction data into a user–item bipartite graph, leveraging high-order connectivity between user and item nodes to enhance their representations. However, most existing methods only deploy graph neur...

Spermatogenesis is a biological process within the testis that produces haploid spermatozoa for the continuity of species. Sertoli cells are somatic cells in the seminiferous epithelium that orchestrate spermatogenesis. Cyclic reorganization of Sertoli cell actin cytoskeleton is vital for spermatogenesis, but the underlying mechanism remains largel...

Primordial germ cells (PGCs) are the precursors of sperms and oocytes. Proper development of PGCs is crucial for the survival of the species. In many organisms, factors responsible for PGC development are synthesized during early oogenesis and assembled into the germ plasm. During early embryonic development, germ plasm is inherited by a few cells,...

While RNAs are soluble in vitro, their solubility may be altered when incorporated into some protein complexes inside the cell. The solubility phase transition of RNAs is thus indicative of changes in the function and activity of RNAs. Here, we present a protocol for the assessment of RNA solubility phase transition during Xenopus oocyte maturation...

Specification of the germline and its segregation from the soma mark one of the most crucial events in the lifetime of an organism. In different organisms, this specification can occur through either inheritance or inductive mechanisms. In species such as Xenopus and zebrafish, the specification of primordial germ cells relies on the inheritance of...

With the popularity of social networks, the conflict between the heterogeneous social network data publishing and user privacy leakage is becoming very obvious. Especially for critical node users, if the critical node users suffer from background knowledge attacks during data publishing, it can not only lead to the privacy information leakage of th...

The goal of local community detection algorithms is to explore the optimal community with a reference to a given node. Such algorithms typically include two primary processes: seed selection and community expansion. This study develops and tests a novel local community detection algorithm called OIRLCD that is based on the optimization of interacti...

The oocyte-to-embryo transition (OET) is regulated by maternal products stored in the oocyte cytoplasm, independent of transcription. How maternal products are precisely remodeled to dictate the OET remains an open question. In this work, we discover the dynamic phase transition of maternal RNAs during Xenopus OET. We have identified 863 maternal t...

The intestinal epithelial regeneration is driven by intestinal stem cells under homeostatic conditions. Differentiated intestinal epithelial cells, such as Paneth cells, are capable of acquiring multipotency and contributing to regeneration upon the loss of intestinal stem cells. Paneth cells also support intestinal stem cell survival and regenerat...

Local community detection aims to detect local communities that have expanded from the given node. Because of the convenience of obtaining the local information of the network and nearly linear time complexity, researchers have proposed many local community detection algorithms to discover the community structure of real-world networks and have obt...

To explore the effect of aftertreatment system (AS) on the energy flow pattern and emission reduction under transient conditions, the energy flow and emissions characteristics of a CNG engine with and without AS are experimentally investigated under world harmonized transient cycle. By comparing and analyzing the energy flow and emissions in both c...

The past decade has witnessed enormous progress in optogenetics, which uses photo‐sensitive proteins to control signal transduction in live cells and animals. The ever‐increasing amount of optogenetic tools, however, could overwhelm the selection of appropriate optogenetic strategies. In this work, we summarize recent progress in this emerging fiel...

Asymmetric localization of mRNAs is crucial for cell polarity and cell fate determination. By performing fractionation RNA-seq, we report here that a large number of maternal RNAs are associated with the ER in Xenopus oocytes but are released into the cytosol after oocyte maturation. We provide evidence that the majority of ER-associated RNA-bindin...

Bio-n-butanol is widely recognized as a renewable alternative biomass fuel, it is gradually used in internal combustion engines for scientific research to alleviate the energy crisis and environmental pollution. However, due to the difference of physical and chemical properties between n-butanol and gasoline, if n-butanol is directly applied to gas...

In this study, the transient emissions characteristics under WHTC for both cases with and without an aftertreatment system (AS) were investigated. The engine operating parameters were measured to reveal the factors influencing the emissions. The effects of engine thermal state (the oil temperature, coolant temperature and exhaust temperature) on em...

The multi-task learning of aspect-based sentiment analysis aims to extract the aspect terms and predict the sentiment polarities for such terms. The majority of research has focused on improving the representations of syntactical information, while ignoring the importance of syntactic dependency. The internal relationship between the aspect terms e...

Rice cultivation in cold regions of China is mainly distributed in Heilongjiang Province, where the growing season of rice is susceptible to low temperature and cold damage. Choosing and planting rice varieties with suitable GD according to the accumulated temperate zone is an important measure to prevent low temperature and cold damage. However, t...

In recent years, local community detection algorithms have developed rapidly because of their nearly linear computing time and the convenience of obtaining the local information of real-world networks. However, there are still some issues that need to be further studied. First, there is no local community detection algorithm dedicated to detecting...

Support vector machine (SVM) is an efficient classification method in machine learning. The traditional classification model of SVMs may pose a great threat to personal privacy, when sensitive information is included in the training datasets. Principal component analysis (PCA) can project instances into a low-dimensional subspace while capturing th...

While a large number of works concentrated on forecasting trajectories in the outdoor environment, predicting the movement of users in indoor settings has attracted much more attention recently because of the development of smartphones and maturity of Wi-Fi services, e.g., in office buildings. Predicting a user’s movement in indoor spaces can not o...

Overlapping communities are ubiquitous in real-world systems. For overlapping community detection, local expansion methods excel in scalability and efficiency yet have poor tolerance to low-quality seeds and communities. Based on our previous work, we introduce a more robust local-expansion-based overlapping community detection algorithm, named CEO...

Aspect-based sentiment analysis is a classic fine-grained approach that aims to distinguish sentiment polarities towards a particular aspect target. The majority of research on this topic has been devoted to constructing syntax-based graph convolutional networks (GCNs) for context feature vectors. These approaches perform poorly in terms of node re...

Unlike outdoor trajectory prediction that has been studied many years, predicting the movement of a large number of users in indoor space like shopping mall has just been a hot and challenging issue due to the ubiquitous emerging of mobile devices and free Wi-Fi services in shopping centers in recent years. Aimed at solving the indoor trajectory pr...

With the rapid rise of social network platforms, more users share their daily lives through social networks, which has led to a large amount of personal privacy being leaked or stolen. Therefore, secure social network data publishing has become the focus of research in the field of data publishing. Aiming at the problem of low data availability cau...

Support vector machines (SVMs) are among the most robust and accurate methods in all well-known machine learning algorithms, especially for classification. The SVMs train a classification model by solving an optimization problem to decide which instances in the training datasets are the support vectors (SVs). However, SVs are intact instances taken...

Support vector machine (SVM) is a robust machine learning method and is widely used in classification. However, the traditional SVM training methods may reveal personal privacy when the training data contains sensitive information. In the training process of SVMs, working set selection is a vital step for the sequential minimal optimization-type de...

Vertex attributes exert huge impacts on the analysis of social networks. Since the attributes are often sensitive, it is necessary to seek effective ways to protect the privacy of graphs with correlated attributes. Prior work has focused mainly on the graph topological structure and the attributes, respectively, and combining them together by defin...

Recommendation algorithm is not only widely used in entertainment media, but also plays an important role in national strategy, such as the recommendation algorithm of byte beating company. This paper studies the personalized recommendation algorithm based on representation learning. The data in social network is complex, and the data mainly exists...

Optogenetics uses light-inducible protein-protein interaction to precisely control the timing, localization, and intensity of signaling activity. The precise spatial and temporal resolution of this emerging technology has proven extremely attractive to the study of embryonic development, a program faithfully replicated to form the same organism fro...

Sentiment analysis has attracted a wide range of attentions in the last few years. Supervised-based and lexicon-based methods are two mainly sentiment analysis categories. Supervised-based approaches could get excellent performance with sufficient tagged samples, while the acquisition of sufficient tagged samples is difficult to implement in some c...

With the rise of microblogging services like Twitter and Sina Weibo, users are able to post various contents on breaking news, public events, or products conveniently and swiftly. These massive contents carry users’ mass sentiment and opinions on various topics, which are a kind of useful and timely source. Traditional microblog sentiment analysis...

Releasing evolving networks which contain sensitive information could compromise individual privacy. In this paper, we study the problem of releasing evolving networks under differential privacy. We explore the possibility of designing a differentially private evolving networks releasing algorithm. We found that the majority of traditional methods...

Microblog sentiment analysis has become a hot research area due to its wide applications. There are some methods utilizing social context, but they only built a global sentiment analysis model, failing to extract personalized expressions. Some personalized methods have been proposed to deal with this problem, but they suffer from data sparseness an...

Traditional community identification is often based on static network, ignoring the social network variability, and has a great limitation. With the deepening of node embedding theory, it is gradually applied to the field of dynamic community, which provides convenience for dynamic community identification research, effectively reduces the distance...

The problems caused by network dimension disasters and computational complexity have become an important issue to be solved in the field of social network research. The existing methods for network feature learning are mostly based on static and small-scale assumptions, and there is no modified learning for the unique attributes of social networks....

With the continuous increase of the network scale, the structure of the network has also become complicated. The original community discovery algorithm based on small‐scale static networks has been unable to meet our needs. In order to improve the quality of community division, community discovery algorithms based on multiple optimization functions...

Weighted network contains a lot of sensitive information and may seriously jeopardize individual privacy. In this paper, we study the problem of differential privacy for weighted network. We found most existing methods add noise to edge weights directly and neglect the structural role of node. These methods perform with low accuracy. To address the...

Ligand-independent activation of receptor tyrosine kinases (RTKs) allows for dissecting out the receptor-specific signaling outcomes from the pleiotropic effects of the ligands. In this regard, RTK intracellular domains (ICD) are of interest due to their ability to recapitulate signaling activity in a ligand-independent manner when fused to chemica...

Local expansion methods excel in efficiency for mining overlapping communities in real-world networks. However, two problems prevent such methods from identifying diversely structured communities. First, local expansion methods generate independent communities only. Second, local expansion methods depend heavily on quality functions. This work prov...

Non-neuronal optogenetic approaches empower precise regulation of protein dynamics in live cells but often require target-specific protein engineering. To address this challenge, we developed a generalizable light-modulated protein stabilization system (GLIMPSe) to control intracellular protein level independent of its functionality. We applied GLI...

A new collaborative filtered recommendation strategy oriented to trajectory data is proposed for communication bottlenecks and vulnerability in centralized system structure location services. In the strategy based on distributed system architecture, individual user information profiles were established using daily trajectory information and neighbo...

A new strategy of cluster-based distributed location service was proposed to solve communication bottlenecks and vulnerability in centralized system structure location service. In the proposed strategy, the density-first clustering method was used to establish location information profiles for users, and neighboring user groups satisfied the ( k ,...

To solve the problem of the deadline-constrained task scheduling in the cloud computing system, this paper proposes a deadline-constrained scheduling algorithm for cloud computing based on the driver of dynamic essential path (Deadline-DDEP). According to the changes of the dynamic essential path of each task node in the scheduling process, the dyn...

The minimal data set. (RAR)

To publish social graphs with differential privacy guarantees for reproducing valuable results of scientific researches, we study a workflow for graph synthesis and propose an improved approach based on weighted Privacy integrated query (wPINQ). The workflow starts with a seed graph to fit the noisy degree sequence, which essentially is the 1K-grap...

Focusing on the privacy issues in recommender systems, we propose a framework containing two perturbation methods for differentially private collaborative filtering to prevent the threat of inference attacks against users. To conceal individual ratings and provide valuable predictions, we consider some representative algorithms to calculate the pre...

Aiming to provide more information about the behaviors between groups or patterns between clusters in social networks, we propose a two-step differentially private method to release the distribution of clustering coefficients across communities. The DPLM algorithm improves a Louvain method to partition one network using an exponential mechanism. We...

To decipher the kinetic regulation of growth factor signaling outcomes, I will introduce our recently developed non-neuronal optogenetic strategies that enable reversible control of growth factor signaling during cell differentiation and embryonic development.

Many real-world networks are characterized by well-defined statistics of overlapping and nested communities. This paper proposes a series of seed-extension-based, overlapping, community detection algorithms to reveal the role of node similarity and community merging in community detection. First, we introduce core similarity to improve the definiti...

Dead‐end1 expression is restricted to the vertebrate germline where it is believed to activate translation of mRNAs required to protect and promote that unique lineage. nanos1 is one such germline mRNA whose translation is blocked by a secondary mRNA structure within the ORF. Dead‐end1 contains a canonical mRNA Recognition Motif (RRM1) in its N‐ter...

Sentiment analysis is widely studied to extract opinions from user generated content (UGC), and various methods have been proposed in recent literature. However, these methods are likely to introduce sentiment bias, and the classification results tend to be positive or negative, especially for the lexicon-based sentiment classification methods. The...

Social network influence maximization algorithm can be widely applied in social marketing, public sentiment control and other relevant fields. This paper focuses on two major problems local structure characteristics of the network which was ignored by previous work and the nodes influence overlapping problems. To deal with the problems, we propose...

Lexicon-based approaches for review sentiment analysis have attracted significant attention in recent years. Lots of sentiment lexicon generation methods have been proposed. However, the generation of domain-specific lexicon with unlabeled data has not been effectively addressed. In this paper, we propose a new domain-specific sentiment lexicon gen...

Currently, integrated scheduling algorithms schedule processes using fixed rules, making it difficult to balance serial and parallel processes in product craftsmanship trees while conducting complicated single product scheduling. To solve this problem, we propose a time‐selective integrated scheduling algorithm with a backtracking adaptation (TISAW...

To evaluate the status of parvovirus infection in free-range cows in a region of northeast China, nine serum samples were collected and analysed by sequencing and polymerase chain reaction. A new bovine parvovirus-2 (BPV2) was identified and named QQHE16. The genome of the virus is 5759 nucleotides long and retains two ORFs that are typical of the...

Assessing and measuring the importance of nodes in a complex network are of great theoretical and practical significance to improve the robustness of the actual system and to design an efficient system structure. The classical local centrality measures of important nodes only take the number of node neighbors into consideration but ignore the topol...

Local community detection addresses the efficiency problem faced by global community detection. Most existing local community detection algorithms take a seed as an initial community. They extend the community by running a greedy optimization process for a quality function. However, the quality of the detected community depends on the location of t...

An experimental research were performed in a spark ignition (SI), high speed engine with n-butanol blended ratio of 0%, 30% and 35% by volume to gasoline, and numerical calculation was conducted under different exhaust gas recirculation (EGR) rate and compression ratio combined with knock index (KI) by using GT-Power simulation software. This study...

Analyzing massive user-generated microblogs is very crucial in many fields, attracting many researchers to study. However, it is very challenging to process such noisy and short microblogs. Most prior works only use texts to identify sentiment polarity and assume that microblogs are independent and identically distributed, which ignore microblogs a...

Divisive algorithms are widely used for community detection. A common strategy of divisive algorithms is to remove the external links which connect different communities so that communities get disconnected from each other. Divisive algorithms have been investigated for several decades but some challenges remain unsolved: (1) how to efficiently ide...

With the development of cloud computing, the traditional Star Scheduling System with solo scheduler can not meet the requirement of distributed system. Thus, we designed a scheduling method, which can be applied into multi-scheduler system, denoted by MTDR (Multi Task Dynamic-Rank scheduling method). For the issue of device confliction in multi-sch...

In the developing embryo, primordial germ cells (PGCs) represent the exclusive progenitors of the gametes, and their loss results in adult infertility. During early development, PGCs are exposed to numerous signals that specify somatic cell fates. To prevent somatic differentiation, PGCs must transiently silence their genome, an early developmental...

ELife digest Hundreds of thousands of different proteins are needed to build and maintain the cells in the human body. All proteins are produced when copies of genetic information in the form of molecules of messenger RNA (mRNAs) are translated by the ribosome. The rate at which proteins are made varies widely between different tissues and at diffe...

Kinase activity is crucial for a plethora of cellular functions, including cell proliferation, differentiation, migration, and apoptosis. During early embryonic development, kinase activity is highly dynamic and widespread across the embryo. Pharmacological and genetic approaches are commonly used to probe kinase activities. Unfortunately, it is ch...

The intestinal epithelium plays a critical role in host-microbe homeostasis by sensing gut microbes and subsequently initiating proper immune responses. During the neonatal stage, the intestinal epithelium is under immune repression, allowing the transition for newborns from a relatively sterile intra-uterine environment to one that is rich in fore...

Neutrophils express hnRNPI. Double immunofluorescence staining using anti-hnRNPI and anti-Ly6G antibodies shows hnRNPI expression in the neutrophils in the wild-type and hnRNPI knockout colon. Neutrophils were rarely detected in the wild-type colon and its number is increased in the knockout colon. Nuclei were counterstained with DAPI. The dotted l...

CD4 positive T-cells express hnRNPI. Double immunofluorescence staining using anti-hnRNPI and anti-CD4 antibodies shows hnRNPI protein localization in the CD4 positive T-cells in the wild-type and hnRNPI knockout colons (arrows). The number of hnRNPI-expressing CD4 positive T-cells in the lamina propria is increased in the knockout colon. Nuclei we...

Notch signaling activity is not elevated in the colonic epithelium of the hnRNPI-deficient mice. Western blot results using protein extracts of the colonic epithelial cells isolated from 2 wild-type and 2 knockout mice. The protein levels of hnRNPI are dramatically reduced in the colonic epithelial cells of the knockout mice while the protein level...

Macrophages express hnRNPI. Double immunofluorescence staining using anti-hnRNPI and anti-F4/80 antibodies shows hnRNPI protein localization in macrophages in the wild-type and hnRNPI knockout colons. The number of hnRNPI-expressing macrophages in the lamina propria is increased in the knockout colon. Nuclei were counterstained with DAPI. The dotte...

Expression of hnRNPI and Wnt ligands in the colon stroma. (A) to (C) Western blot results using protein extracts of the colonic epithelial and stromal fractions isolated from 3 wild-type and 3 knockout mice. Active β-catenin protein expression is increased in the colonic epithelium of the knockout mice (A). Increased hnRNPI protein expression in th...

Supporting materials and methods. (DOCX)

Colon histology of the IEC-specific hnRNPI knockout mice appears normal at P2. (A) and (B) H&E stained sections show the normal colonic epithelium in the knockout neonate at P2 (B). (C) to (F) Immunohistochemical staining with indicated antibodies shows similar numbers of immune cells in the lamina propria of the wild-type and knockout neonates at...

α-SMA positive stromal cells express hnRNPI. Double immunofluorescence staining using anti-hnRNPI and anti-α-SMA antibodies shows hnRNPI expression in α-SMA positive stromal cells in the wild-type and hnRNPI knockout colon. The number of α-SMA and hnRNPI double positive stromal cells is not increased in the knockout colon. Nuclei were counterstaine...

With the development of Internet technology, distributed task processing has become the key to solve the problems in big data computing, cloud computing, and collaborative computing. At the aspect of distributed task scheduling optimization, it is needed to establish the scheduling architecture with multiple schedulers, to meet the requirement of m...

With the development of Internet technology, distributed task processing has become the key to solve the problems in big data computing, cloud computing, and collaborative computing. At the aspect of distributed task scheduling optimization, it is needed to establish the scheduling architecture with multiple schedulers, to meet the requirement of m...

The traditional trajectory privacy preserving methods are static releasing methods, only focusing on the trajectories in a specific time span. Therefore, the traditional methods need to recalculate the last released results, in dealing with dynamic trajectory releasing issues as the new time slice arriving. That would increase the computing costs o...

In the existing centralized location services system structure, the server is easily attracted and be the communication bottleneck. It caused the disclosure of users? location. For this, we presented a new distributed collaborative recommendation strategy that is based on the distributed system. In this strategy, each node establishes profiles of t...

Hedgehog (Hh) signaling is fundamentally important for development and adult tissue homeostasis. It is well established that in vertebrates, Sufu directly binds and inhibits Gli proteins, the downstream mediators of Hh signaling. However, it is unclear how the inhibitory function of Sufu toward Gli is regulated. Here we report that the Rusc family...

Based on a high-speed spark ignition (SI) gasoline engine with five valves, a novel concept of asynchronous valves timing (AVT) and synchronous valves timing (SVT) systems has been proposed. In order to demonstrate the effect of AVT and SVT on gas exchange process, combustion process, engine performance, fuel economy and emissions, a comparative st...