Research on the influence of team psychological capital on team members’ work performance

Team psychological capital is the positive psychological state of a team and has a positive impact on the human resource management and performance management of the team. Team members’ work performance, as a component of team performance, has an important impact on improving team performance. However, there is less cross-level impact analysis between the two. The purpose of this paper is to explore the mechanisms of the cross-level effects of team psychological capital on members’ performance. A paired questionnaire survey was administered to 387 human resource management team members from 86 human resource management teams across China, and SPSS 22.0, AMOS 23.0, and HLM 6.08 software were used to analyze the questionnaire data at the same level and across levels. The test shows that the cross-level positive effect of team psychological capital on team members’ work performance is established, and the cross-level mediating role of team members’ psychological capital and team support between the two is established. It enriches the cross-level research from team to individual, refines and enriches the research on the impact of team psychological capital on individual behavior, and provides new ideas for team management in companies. Therefore, when conducting team management, enterprises can enhance team members’ psychological capital by improving team psychological capital, thereby improving team members’ work performance and team efficiency

Characterization, Genomic Organization, Abundance, and Chromosomal Distribution of Ty1-copia Retrotransposons in Erianthus arundinaceus

Erianthus arundinaceus is an important wild species of the genus Saccharum with many valuable traits. However, the composition and structure of its genome are largely unknown, which have hindered its utilization in sugarcane breeding and evolutionary research. Retrotransposons constitute an appreciable fraction of plant genomes and may have played a significant role in the evolution and sequence organization of genomes. In the current study, we investigate the phylogenetic diversity and genomic abundance of Ty1-copia retrotransposons for the first time and inspect their chromosomal distribution patterns in E. arundinaceus. In total, 70 Ty1-copia reverse transcriptase (RT) sequences with significant levels of heterogeneity were obtained. The phylogenetic analysis revealed these Ty1-copia retrotransposons were classified into four distinct evolutionary lineages (Tork/TAR, Tork/Angela, Retrofit/Ale, and Sire/Maximus). Dot-blot analysis showed estimated the total copy number of Ty1-copia retrotransposons to be about 4.5 × 103 in the E. arundinaceus genome, indicating they were a significant component. Fluorescence in situ hybridization revealed that Ty1-copia retrotransposons from the four lineages had strikingly similar patterns of chromosomal enrichment, being exclusively enriched in the subterminal heterochromatic regions of most E. arundinaceus chromosomes. This is the first clear evidence of the presence of Ty1-copia retrotransposons in the subterminal heterochromatin of E. arundinaceus. Altogether, these results promote the understanding of the diversification of Ty1-copia retrotransposons and shed light on their chromosomal distribution patterns in E. arundinaceus

Poor outcome in congenital mesoblastic nephroma with TPM3::NTRK1 fusion: a case report from multi-disciplinary treatment to molecular tumor board

Background: Congenital mesoblastic nephroma (CMN) is a rare renal tumor with good prognosis in children; however, cellular CMN is a special subtype with poor prognosis. The ETV6 fusion gene has been found in some cellular CMNs, whereas CMNs with TPM3::NTRK1 fusion gene have not been reported. This study aims to share the progression and treatment of a case of CMNs with TPM3::NTRK1 fusion gene, in order to provide experience for the diagnosis and treatment of such specific diseases. Case Description: We report a case of CMN with TPM3::NTRK1 fusion gene and a 3-year course of disease that originated during the fetal period. The child experienced rapid tumor progression 22 months after birth, followed by tumor recurrence 3 months after complete resection of CMN. Although traditional chemotherapy could not prevent the tumor progression. The tropomyosin receptor kinase (TRK) inhibitor larotrectinib resulted in significant inhibitory effects on metastatic lesions in the lungs, liver, and peritoneum. However, the patient ultimately died as the tumor became resistant to larotrectinib. Conclusions: CMN, is a rare pediatric renal tumor that warrant prompt surgical management. A watchful waiting approach may allow for aggressive growth of metastatic disease, as seen in this case of cellular CMN with TPM3::NTRK1 fusion gene, TRK inhibitors can play significant roles in the treatment of CMN with TPM3::NTRK1 fusion gene, but we still need to pay attention to the phenomenon of drug resistance to larotrectinib caused by site mutations of TRKA

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

The rapid development of open-source large language models (LLMs) has been truly remarkable. However, the scaling law described in previous literature presents varying conclusions, which casts a dark cloud over scaling LLMs. We delve into the study of scaling laws and present our distinctive findings that facilitate scaling of large scale models in two commonly used open-source configurations, 7B and 67B. Guided by the scaling laws, we introduce DeepSeek LLM, a project dedicated to advancing open-source language models with a long-term perspective. To support the pre-training phase, we have developed a dataset that currently consists of 2 trillion tokens and is continuously expanding. We further conduct supervised fine-tuning (SFT) and Direct Preference Optimization (DPO) on DeepSeek LLM Base models, resulting in the creation of DeepSeek Chat models. Our evaluation results demonstrate that DeepSeek LLM 67B surpasses LLaMA-2 70B on various benchmarks, particularly in the domains of code, mathematics, and reasoning. Furthermore, open-ended evaluations reveal that DeepSeek LLM 67B Chat exhibits superior performance compared to GPT-3.5

bottleneck prediction method based on improved adaptive network-based fuzzy inference system (anfis) in semiconductor manufacturing system

Semiconductor manufacturing (SM) system is one of the most complicated hybrid processes involved continuously variable dynamical systems and discrete event dynamical systems. The optimization and scheduling of semiconductor fabrication has long been a hot research direction in automation. Bottleneck is the key factor to a SM system, which seriously influences the throughput rate, cycle time, time-delivery rate, etc. Efficient prediction for the bottleneck of a SM system provides the best support for the consequent scheduling. Because categorical data (product types, releasing strategies) and numerical data (work in process, processing time, utilization rate, buffer length, etc.) have significant effect on bottleneck, an improved adaptive network-based fuzzy inference system (ANFIS) was adopted in this study to predict bottleneck since conventional neural network-based methods accommodate only numerical inputs. In this improved ANFIS, the contribution of categorical inputs to firing strength is reflected through a transformation matrix. In order to tackle high-dimensional inputs, reduce the number of fuzzy rules and obtain high prediction accuracy, a fuzzy c-means method combining binary tree linear division method was applied to identify the initial structure of fuzzy inference system. According to the experimental results, the main-bottleneck and sub-bottleneck of SM system can be predicted accurately with the proposed method. © 2012 Chemical Industry and Engineering Society of China (CIESC) and Chemical Industry Press (CIP).Semiconductor manufacturing (SM) system is one of the most complicated hybrid processes involved continuously variable dynamical systems and discrete event dynamical systems. The optimization and scheduling of semiconductor fabrication has long been a hot research direction in automation. Bottleneck is the key factor to a SM system, which seriously influences the throughput rate, cycle time, time-delivery rate, etc. Efficient prediction for the bottleneck of a SM system provides the best support for the consequent scheduling. Because categorical data (product types, releasing strategies) and numerical data (work in process, processing time, utilization rate, buffer length, etc.) have significant effect on bottleneck, an improved adaptive network-based fuzzy inference system (ANFIS) was adopted in this study to predict bottleneck since conventional neural network-based methods accommodate only numerical inputs. In this improved ANFIS, the contribution of categorical inputs to firing strength is reflected through a transformation matrix. In order to tackle high-dimensional inputs, reduce the number of fuzzy rules and obtain high prediction accuracy, a fuzzy c-means method combining binary tree linear division method was applied to identify the initial structure of fuzzy inference system. According to the experimental results, the main-bottleneck and sub-bottleneck of SM system can be predicted accurately with the proposed method. © 2012 Chemical Industry and Engineering Society of China (CIESC) and Chemical Industry Press (CIP)

Degradation of Antipyrine by UV, UV/H2O2 and UV/PS

Degradation of antipyrine (AP) in water by three UV-based photolysis processes (i.e., direct UV, UV/H2O2, UV/persulfate (UV/PS)) was studied. For all the oxidation processes, the AP decomposition exhibited a pseudo-first-order kinetics pattern. Generally, UV/H2O2 and UV/PS significantly improved the degradation rate relevant to UV treatment alone. The pseudo-first-order degradation rate constants (kobs) were, to different degrees, affected by initial AP concentration, oxidant dose, pH, UV irradiation intensity, and co-existing chemicals such as humic acid, chloride, bicarbonate, carbonate and nitrate. The three oxidation processes followed the order in terms of treatment costs: UV/PS\u3eUV\u3eUV/H2O2 if the energy and chemical costs are considered. Finally, the AP degradation pathways in the UV/H2O2 and UV/PS processes are proposed. Results demonstrated that UV/H2O2 and UV/PS are potential alternatives to control water pollution caused by emerging contaminants such as AP

Diversity Chromosome Evolution of Ty1-copia Retrotransposons in Pennisetum purpureum Revealed by FISH

Pennisetum purpureum is a potential species for biofuel production. Characterization and chromosomal distribution of retrotransposons could enhance the comprehension of the role and dynamics of the repetitive elements in plants. In this study, a phylogenetic tree was constructed according to the conserved reverse transcriptase sequences and revealed that these Ty1-copia retrotransposons had a typical structure. Analysis showed that the total Ty1-copia retrotransposons had a significant component, as high as 5.12 × 103 copy numbers in P. purpureum. Then, the chromosomal pattern of four known lineages were also analyzed with the Pennisetum glaucum genome, which suggested that the Sire/Maximus lineage had the highest copy number and followed by Tork/Angela, Tork/TAR, Retrofit/Ale. Additionally, the chromosomal distribution of total Ty1-copia retrotransposons was detected by fluorescence in situ hybridization (FISH) to be a dispersed pattern with weak clustering, mostly near the centromeric regions of P. purpureum chromosomes; interestingly, there were four obvious signals in the subterminal chromosomes. These results suggested that there occurred differential dynamic evolution directions of Ty1-copia retrotransposons within P. purpureum. Furthermore, co-localization of Ty1-copia, 5S rDNA, and 35S rDNA indicated that two chromosome 2 and four chromosome 4 were identified. Concurrently, subterminal signals of Ty1-copia-type retrotransposons were located on four other homologous chromosomes. Altogether, these results shed light on the diversification of Ty1-copia retrotransposons and have the significance for generation of valid chromosomal markers in retrotransposon families

Diversity Chromosome Evolution of Ty1-<i>copia</i> Retrotransposons in <i>Pennisetum purpureum</i> Revealed by FISH

Pennisetum purpureum is a potential species for biofuel production. Characterization and chromosomal distribution of retrotransposons could enhance the comprehension of the role and dynamics of the repetitive elements in plants. In this study, a phylogenetic tree was constructed according to the conserved reverse transcriptase sequences and revealed that these Ty1-copia retrotransposons had a typical structure. Analysis showed that the total Ty1-copia retrotransposons had a significant component, as high as 5.12 × 103 copy numbers in P. purpureum. Then, the chromosomal pattern of four known lineages were also analyzed with the Pennisetum glaucum genome, which suggested that the Sire/Maximus lineage had the highest copy number and followed by Tork/Angela, Tork/TAR, Retrofit/Ale. Additionally, the chromosomal distribution of total Ty1-copia retrotransposons was detected by fluorescence in situ hybridization (FISH) to be a dispersed pattern with weak clustering, mostly near the centromeric regions of P. purpureum chromosomes; interestingly, there were four obvious signals in the subterminal chromosomes. These results suggested that there occurred differential dynamic evolution directions of Ty1-copia retrotransposons within P. purpureum. Furthermore, co-localization of Ty1-copia, 5S rDNA, and 35S rDNA indicated that two chromosome 2 and four chromosome 4 were identified. Concurrently, subterminal signals of Ty1-copia-type retrotransposons were located on four other homologous chromosomes. Altogether, these results shed light on the diversification of Ty1-copia retrotransposons and have the significance for generation of valid chromosomal markers in retrotransposon families

Efficient Anchoring of Erianthus&nbsp;arundinaceus Chromatin Introgressed into Sugarcane by Specific Molecular Markers

Erianthus&nbsp;arundinaceus is a valuable gene reservoir for sugarcane improvement. However, insufficient molecular markers for high-accuracy identification and tracking of the introgression status of E.&nbsp;arundinaceus chromatin impede sugarcane breeding. Fortunately, suppression subtractive hybridization (SSH) technology provides an excellent opportunity for the development of high-throughput E.&nbsp;arundinaceus-specific molecular markers at a reasonable cost. In this study, we constructed a SSH library of E.&nbsp;arundinaceus. In total, 288 clones of E.&nbsp;arundinaceus-specific repetitive sequences were screened out and their distribution patterns on chromosomes were characterized by fluorescence in situ hybridization (FISH). A subtelomeric repetitive sequence Ea086 and a diffusive repetitive sequence Ea009, plus 45S rDNA-bearing E.&nbsp;arundinaceus chromosome repetitive sequence EaITS were developed as E.&nbsp;arundinaceus-specific molecular markers, namely, Ea086-128, Ea009-257, and EaITS-278, covering all the E.&nbsp;arundinaceus chromosomes for high-accuracy identification of putative progeny. Both Ea086-128 and Ea009-257 were successfully applied to identify the authenticity of F1, BC1, BC2, BC3, and BC4 progeny between sugarcane and E.&nbsp;arundinaceus. In addition, EaITS-278 was a 45S rDNA-bearing E.&nbsp;arundinaceus chromosome-specific molecular marker for rapid tracking of the inherited status of this chromosome in a sugarcane background. Three BC3 progeny had apparently lost the 45S rDNA-bearing E.&nbsp;arundinaceus chromosome. We reported herein a highly effective and reliable SSH-based technology for discovery of high-throughput E.&nbsp;arundinaceus-specific sequences bearing high potential as molecular markers. Given its reliability and savings in time and efforts, the method is also suitable for development of species-specific molecular markers for other important wild relatives to accelerate introgression of wild relatives into sugarcane