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A Small Town Called Hibiscus is a novel set against the backdrop of the Cultural Revolution, which depicts the social situation under the influence of the far-left ideology with realistic expression. The study will take the protagonist Hu Yuyin’s experiences as the focal point, employing close reading of the text to explore Hu Yuyin’s awakening journey from “resignation” to “resistance”. The study finds that the obedience of Hu Yuyin is a result of the traditional gender concepts in the patriarchal society. The label of “Rice Tofu Xishi” and the subordinate status in marriage reveal Hu Yuyin’s existence of a “second sex”. The political violence disrupted the patriarchal order, hence Hu Yuyin’s self-positioning was reshaped. Despite the awakening being incomplete, her spirit of struggling against patriarchy reflects the burgeoning feminine consciousness during the cultural revolution, and providing a sample for the study of contemporary female consciousness.

Antler is the fastest growing and ossifying tissue in animals and it is a valuable model for cartilage/bone development. To understand the molecular mechanisms of chondrogenesis and osteogenesis of antlers, the PacBio Sequel II and Illumina sequencing technology were combined and used to investigate the mRNA expression profiles in antler tip, middle, and base at six different developmental stages, i.e., at 15th, 25th, 45th, 65th, 100th and 130th growth days. Consequently, we identified 24,856 genes (FPKM > 0.1), including 8778 novel genes. Besides, principal component analysis (PCA) revealed a significant separation between the growth stage (25th, 45th and 65th days) and ossification stage (100th and 130th days). COL2A1 gene was significantly abundant in the growth stage, whereas S100A7 , S100A12 , S100A8, and WFDC18 genes were abundant at the ossification stage. Subsequently screened to 14,765 significantly differentially expressed genes (DEGs), WGCNA and GO functional enrichment analyses revealed that genes related to cell division and chondrocyte differentiation were up-regulated, whereas those with steroid hormone-mediated signaling pathways were down-regulated at ossification stages. Additionally, 25 tumor suppressor genes and 11 oncogenes were identified and were predicted to interact with p53 . Co-regulation of tumor suppressor genes and oncogenes is responsible for the special growth pattern of antlers. Together, we constructed the most complete sika deer antler transcriptome database so far. The database provides data support for subsequent studies on the molecular mechanism of sika deer antler chondrogenesis and osteogenesis.

Sika deer (Cervus nippon), a species mainly distributed in the northeast of Asia, hold significant economic value in China due to their contributions to traditional Chinese medicine. A systematic investigation of their genetic structure is needed for population management. In this study, mitochondrial genome and AMELY, DBY, USP9Y, and SRY gene fragments on Y chromosome were used to elucidate the genetic structure of 303 individuals across 8 distinct populations. The mitosome analysis identified 72 haplotypes, with a haplotype diversity (Hd) of 0.917 and nucleotide diversity (π) of 0.0143, respectively. Meanwhile, 13 haplotypes were defined by Y chromosome genes with a Hd of 0.791. Analysis of the mitochondrial control region (CR) revealed subspecies-specific patterns of tandem repeat unit organization between continental and Japanese groups. Y chromosome analyses demonstrated a homogeneous paternal lineage across Japanese populations.

Background Population genomic analysis can reconstruct the phylogenetic relationship and demographic history, and identify genomic selective signatures of a species. To date, fundamental aspects of population genomic analyses, such as intraspecies taxonomy, evolutionary history, and adaptive evolution, of sika deer have not been systematically investigated. Furthermore, accumulating lines of evidences have illustrated that incorrect species delimitation will mislead conservation decisions, and even lead to irreversible mistakes in threatened species. Results In this study, we resequenced 81 wild and 71 domesticated sika deer representing 10 main geographic populations and two farms to clarify the species delimitation, demographic and divergence histories, and adaptive evolution of this species. First, our analyses of whole genomes, Y chromosomes and mitochondrial genomes revealed substantial genetic differentiation between the continental and Japanese lineages of sika deer, representing two phylogenetically distinct species. Second, sika deer in Japan were inferred to have experienced a “divergence-mixing-isolation” evolutionary scenario. Third, we identified four candidate genes ( XKR4 , NPAS3 , CTNNA3 , and CNTNAP5 ) possibly involved in body size regulation of sika deer by selective sweep analysis. Furthermore, we also detected two candidate genes ( NRP2 and EDIL3 ) that may be associated with an important economic trait (antler weight) were under selection during the process of domestication. Conclusion Population genomic analyses revealed that the continental and Japanese lineages represent distinct phylogenetic species. Moreover, our results provide insights into the genetic selection signatures related to body size differences and a valuable genomic resource for future genetic studies and genomics-informed breeding of sika deer.

Rusa unicolor , including seven subspecies, has been listed as a vulnerable species by the International Union for Conservation of Nature and Natural Resources. The mitochondrial genome has proven to be a highly successful resource for investigation of evolution and population genetics. In this study, the complete mitochondrial genome of Rusa unicolor hainana was sequenced and analyzed. The circle genome was found to be 16,436 bp in length, containing 13 protein-coding genes, 22 transfer RNA genes, two ribosomal RNA genes, and one noncoding control region. Additionally, maximum likelihood and Bayesian inference trees were conducted based on the 13 PCGs of species within the Cervinae subfamily. The phylogenetic tree demonstrated that R. u. dejeani is more closely related to R. u. swinhoei than to R. u. hainana . This study could provide important molecular data for species identification and the phylogenetic relationship of R. unicolor .

Background Authentic researcher-youth partnerships in patient-oriented research (POR) where the research responds to the needs expressed by youth themselves are essential to make research meaningful. While patient-oriented research (POR) is increasingly practiced, few training programs exist in Canada and none, to our knowledge, are tailored for youth with neurodevelopmental disabilities (NDD). Our primary objective was to explore the training needs of youth (ages 18–25) with NDD to enhance their knowledge, confidence, and skills as research partners. Our secondary objective was to identify the benefits and challenges of engaging youth with NDD in a POR approach. Methods Our team of four youth and one parent with lived experience [Youth Engagement in Research (YER) partners] and six researchers engaged in POR to investigate the primary objective via two phases: (1) individual interviews with youth living with NDD and (2) a two-day virtual symposium with focus groups with youth and researchers. Collaborative qualitative content analysis was employed to synthesize the data. Our secondary objective was assessed by asking our YER partners to complete the Public and Patient Engagement Evaluation Tool (PPEET) survey and participate in reflective discussions. Results Phase 1 participants (n = 7) identified various barriers and facilitators to their engagement in research and offered suggestions to meet their needs through minimizing barriers and integrating facilitators, which would subsequently enhance their knowledge, confidence, and skills as research partners. Informed by phase 1, phase 2 participants (n = 17) prioritized the following POR training needs: researcher-youth communication, research roles and responsibilities, and finding partnership opportunities. For delivery methods, participants stated the importance of youth representation, using Universal Design for Learning, and co-learning between youth and researchers. Based on the PPEET data and subsequent discussions, YER partners agreed that they were able to express views freely, feel that their views were heard, and that their participation made a meaningful difference. Challenges included scheduling difficulties, ensuring multiple methods for engagement, and working under short timelines. Conclusion This study identified important training needs for youth with NDD and for researchers to engage in meaningful POR, which can subsequently inform the co-production of accessible training opportunities with and for youth. Plain English summary Partnerships between researchers and youth, known as patient-oriented research (POR), are needed to make sure research is meaningful to youth. Our main goal was to explore the training needs of youth (ages 18-25) with neurodevelopmental disabilities (NDD) to enhance their knowledge, confidence, and skills as research partners. To find out, our team of four youth and one parent with lived experience (YER partners) and six researchers completed this project in two parts: 1) interviews with youth and 2) a two-day virtual workshop with youth and researchers. Data from the two parts were reviewed to answer our question. We learned from Part 1 that the needs of participants can be met by providing support and reducing barriers in POR. From Part 2, the top three important topics in partnerships were: researcher-youth communication, research roles and responsibilities, and finding partnership opportunities. Participants in the workshop emphasized having different youth represented, using a framework that allows learning for everyone, and co-learning between youth and researchers in the creation of learning materials. Our second goal was to understand the benefits and challenges of our partnership. To assess, YER partners completed a survey and reflected about their experiences. YER partners agreed on being able to express views, feel that their views were heard, and that their participation made a meaningful difference. Challenges included scheduling difficulties, providing multiple ways to partner, and working under short timelines. Overall, the study described important POR needs for youth and researchers, which can inform future training opportunities.

PurposeThe construction collapse is one of the most serious accidents since it has several attributes (e.g. accident type and consequence) and its occurrence involves various kinds of causal factors (e.g. human factors). The impact of causal factors on construction collapse accidents and the interrelationships among causal factors remain poorly explored. Thus, the purpose of this paper is to use association rule mining (ARM) for cause analysis of construction collapse accidents.Design/methodology/approachAn accident analytic framework is developed to determine the accident attributes and causal factors, and then ARM is introduced as the method for data mining. The data are from 620 historical accident records on government websites of China from 2010 to 2020. Through the generated association rules, the impact of causal factors and the interrelationships among causal factors are explored.FindingsCollapse accident is easily caused by human factors, material and machine condition and management factors. Furthermore, the results show a close interrelationship between many causal factors and construction scheme and organization. The earthwork collapse is greatly related to environmental condition and the scaffolding collapse is greatly related to material and machine condition.Practical implicationsThis study found relevant knowledge about the key causes for different types of construction collapses. Besides, several suggestions are further provided for construction units to prevent construction collapse accidents.Originality/valueThis study uses data mining methods to extract knowledge about the causes of collapse accidents. The impact of causal factors on various types of construction collapse accidents and the interrelationships among causal factors are explained from historical accident data.

With the advent of communication networks in robotic systems, distributed networked robotic systems can be deployed to perform certain tasks collaboratively. However, this makes the networked robotic systems vulnerable to cyber attacks. Thus, the rigorous study of the impact of cyber attacks and the development of corresponding defense mechanisms are necessary. In this dissertation, the cyber-physical security issue of networked robotic systems is studied under a specific type of cyber attack called content modification attack, which can modify the data content transmitted in the communication networks among the robots. Specifically, algorithms for attack design and detection for content modification attacks are studied. The physics of the robotic system is utilized to design and detect the cyber attacks for networked robotic systems. Content modification attacks are studied for the synchronization problem in networked robotic systems. The considered systems include multi-robot systems, bilateral teleoperation systems and bilateral tele-driving systems. To demonstrate the potential severity of the attack, a constructive methodology for attack design is also developed. Specifically, a destabilizing content modification attack referred to as a malignant content modification attack (MCoMA) is designed based on the system storage function, which can lead to system instability and even physical system damage. To protect the system, a physics-based attack detection scheme with an encoding-decoding structure is proposed for general content modification attacks. As part of the tele-driving system study, a novel passivity-based adaptive bilateral tele-driving control scheme is also proposed in the presence of network delays and dynamics parametric uncertainties. Simulations and experiments have also been conducted to validate the proposed algorithms. This study demonstrates the potential of utilizing the physics of the robotic system to better understand and strengthen the security of the networked robotic systems.

Background China is the birthplace of the deer family and the country with the most abundant deer resources. However, at present, China’s deer industry faces the problem that pure sika deer and hybrid deer cannot be easily distinguished. Therefore, the development of a SNP identification chip is urgently required. Results In this study, 250 sika deer, 206 red deer, 23 first-generation hybrid deer (F1), 20 s-generation hybrid deer (F2), and 20 third-generation hybrid deer (F3) were resequenced. Using the chromosome-level sika deer genome as the reference sequence, mutation detection was performed on all individuals, and a total of 130,306,923 SNP loci were generated. After quality control filtering was performed, the remaining 31,140,900 loci were confirmed. From molecular-level and morphological analyses, the sika deer reference population and the red deer reference population were established. The Fst values of all SNPs in the two reference populations were calculated. According to customized algorithms and strict screening principles, 1000 red deer-specific SNP sites were finally selected for chip design, and 63 hybrid individuals were determined to contain red deer-specific SNP loci. The results showed that the gene content of red deer gradually decreased in subsequent hybrid generations, and this decrease roughly conformed to the law of statistical genetics. Reaction probes were designed according to the screening sites. All candidate sites met the requirements of the Illumina chip scoring system. The average score was 0.99, and the MAF was in the range of 0.3277 to 0.3621. Furthermore, 266 deer (125 sika deer, 39 red deer, 56 F1, 29 F2,17 F3) were randomly selected for 1 K SNP chip verification. The results showed that among the 1000 SNP sites, 995 probes were synthesized, 4 of which could not be typed, while 973 loci were polymorphic. PCA, random forest and ADMIXTURE results showed that the 1 K sika deer SNP chip was able to clearly distinguish sika deer, red deer, and hybrid deer and that this 1 K SNP chip technology may provide technical support for the protection and utilization of pure sika deer species resources. Conclusion We successfully developed a low-density identification chip that can quickly and accurately distinguish sika deer from their hybrid offspring, thereby providing technical support for the protection and utilization of pure sika deer germplasm resources.

China is the birthplace of the deer family and the country with the most abundant deer resources. However, at present, China's deer industry faces the problem that pure sika deer and hybrid deer cannot be easily distinguished. Therefore, the development of a SNP identification chip is urgently required. In this study, 250 sika deer, 206 red deer, 23 first-generation hybrid deer (F1), 20 s-generation hybrid deer (F2), and 20 third-generation hybrid deer (F3) were resequenced. Using the chromosome-level sika deer genome as the reference sequence, mutation detection was performed on all individuals, and a total of 130,306,923 SNP loci were generated. After quality control filtering was performed, the remaining 31,140,900 loci were confirmed. From molecular-level and morphological analyses, the sika deer reference population and the red deer reference population were established. The Fst values of all SNPs in the two reference populations were calculated. According to customized algorithms and strict screening principles, 1000 red deer-specific SNP sites were finally selected for chip design, and 63 hybrid individuals were determined to contain red deer-specific SNP loci. The results showed that the gene content of red deer gradually decreased in subsequent hybrid generations, and this decrease roughly conformed to the law of statistical genetics. Reaction probes were designed according to the screening sites. All candidate sites met the requirements of the Illumina chip scoring system. The average score was 0.99, and the MAF was in the range of 0.3277 to 0.3621. Furthermore, 266 deer (125 sika deer, 39 red deer, 56 F1, 29 F2,17 F3) were randomly selected for 1 K SNP chip verification. The results showed that among the 1000 SNP sites, 995 probes were synthesized, 4 of which could not be typed, while 973 loci were polymorphic. PCA, random forest and ADMIXTURE results showed that the 1 K sika deer SNP chip was able to clearly distinguish sika deer, red deer, and hybrid deer and that this 1 K SNP chip technology may provide technical support for the protection and utilization of pure sika deer species resources. We successfully developed a low-density identification chip that can quickly and accurately distinguish sika deer from their hybrid offspring, thereby providing technical support for the protection and utilization of pure sika deer germplasm resources.