Stem cells are a class of progenitor cells with vigorous proliferation and differentiation potential under specific conditions both in vivo and in vitro. They have significant application value in fields related to human health, such as tissue damage repair, regenerative medicine, disease treatment, and anti-aging. Meanwhile, through the study of stem cells, our understanding of the essence of life can be continuously enriched. This paper provides a brief overview of the research progress of stem cells from basic research to practical application fields and discusses the development trends and unsolved scientific and technical issues related to human health, aiming to provide valuable references and insights for readers interested in related field and those who wish to expand their understanding of the essence of life.

The comprehensive utilization of saline soils becomes a national strategy. In this review, techniques and methods of saline soil utilization both inland and abroad are introduced, salt-resistant mechanism of halophyte is briefly discussed, strategy and method of identification and evaluation of salt-tolerant crop are elucidated, and their advantage and disadvantage are pointed out, strategy and method of salt-tolerant crop breeding are systematically elucidated. Finally, the key techniques of crop cultivation in saline soil are introduced, the current issues in utilization of saline soils are discussed and the perspectives are suggested.

In the context of global climate warming, high temperatures have become a major stress factor limiting plant growth, development, and crop yield. Heat stress has a pronounced negative impact on the morphological, physiological, and biochemical characteristics of crops, including seed germination, photosynthetic rate, water use efficiency, pollen viability, yield, and product quality. To cope with heat stress, plants employ a series of complex molecular mechanisms to sense heat and initiate a range of defense responses to maintain cellular homeostasis and enhance heat tolerance. This review systematically elucidates the multidimensional regulatory network of plant heat tolerance, covering the latest research advancements in heat sensing, signal transduction, and gene expression regulation. It particularly focuses on several key signaling pathways in heat sensing, protein phase separation-mediated protective mechanisms, and the genetic basis of heat tolerance-related quantitative traits．Through a deep analysis of these molecular regulatory networks, this work not only expands our understanding of plant temperature response mechanisms but also provides theoretical foundations and technical approaches for molecular design to cultivate new heat-resistant crop varieties.

Traditional particle filter-based tracking methods often fail to achieve precise tracking in complex video backgrounds．This article combines traditional particle filtering algorithm and Gaussian-Hermite algorithm to preprocess the video first. To improve tracking speed, this article uses an integral histogram to describe facial features, greatly reducing the feature calculation time and weight update time of particles. Additionally, dynamic fusion of color and edge features is implemented, combined with real-time adjustment of template parameters based on the dynamic evolution of facial morphology. The experiment verified that the method proposed in this paper can effectively enhance its stability and reliability when dealing with skin color, different lighting conditions, and other complex environmental factors.

Soil erosion is a serious ecological and environmental problem in China. The ecological construction standards for soil and water conservation were analyzed, including natural standards for soil and water conservation ecological civilization, economic standards, cultural standards, and management standards. Development strategies for soil and water conservation in production and construction projects were examined, while application scenarios of DeepSeek in soil and water conservation monitoring were introduced. Taking the power transmission and transformation project as an example, a system of soil and water conservation measures and improvement strategies have been proposed to enhance the civilization level and application level of soil and water conservation.

Lipid transfer proteins （LTPs） are a class of small molecular transport proteins widely present in plant cells, primarily responsible for the transport of lipids and the delivery of various biochemical reaction products. In this study, based on the previously identified drought stress-responsive gene SiLTP1 in millet and the obtained positive transgenic millet lines overexpressing SiLTP1, lipidomic analysis under salt stress was performed．GC-MS analysis revealed that the levels of digalactosyldiacylglycerol (DGDG) and monogalactosyldiacylglycerol（MGDG） were the highest in the seedlings of millet variety Ci846 and the SiLTP1-overexpressing lines. After treatment with 200 mmol·L-1 NaCl, the levels of DGDG/MGDG in the leaves of SiLTP1-overexpressing millet seedlings were higher than those in Ci846. At the same time, the levels of phosphatidylglycerol （PG） and diglycerides （DG） also increased. Based on these results, it is suggested that lipid transfer proteins can modulate the content of phospholipids and lipid molecules in the SiLTP1-overexpressing millet seedlings, thereby participating in the response to salt stress in millet. This study provides theoretical support and candidate gene resources for the systematic analysis of the mechanisms through which lipid transfer proteins participate in millet's salt stress response，offering a foundation for the development of salt-tolerant millet varieties.

To investigate the water characteristics and phytoplankton status of Yunmeng Lake, two sampling surveys were conducted in August and October 2014. The results showed that the total nitrogen （TN） ranged from 0.494 mg·L-1 to 8.215 mg·L-1, the total phosphorus （TP） ranged from 0.029 mg·L-1 to 0.053 mg·L-1, the chlorophyll a （Chla） concentration ranged from 13.65 mg·L-1 to 61.05 mg·L-1 and the permanganate index（CODMn） ranged from 6.51 mg·L-1 to 11.08 mg·L-1 in Yunmeng Lake. The comprehensive trophic level index（TLI）of the entire reservoir area was relatively uniform, ranging from 57.85 to 69.69, with little variation. A total of 60 species of phytoplankton belonging to 8 phyla were identified in Yunmeng Lake, with higher species richness in October （46 species） than in August （39 species）. Chlorophyta was the most diverse phylum, and the species composition was relatively richer at the inlet and outlet of the reservoir. The dominant species included Phormidium sp., Oscilatoria lemmermanni, Anabaena constincta, Synedra sp. and Cryptomonadaceae erosa. Correlation analysis showed that phytoplankton density （D）, Shannon-Wiener diversity index （H），species number （S） and evenness index （J） were significantly correlated with dissolved oxygen （DO） （P<0.05）. Redundancy analysis（RDA） indicated that NH＋4-N，Chla，and CODMn had significant influences on the distribution of dominant phytoplankton species and changes in community structure. DO，NH＋4-N，and Chla were identified as important limiting factors for the phytoplankton species composition in Yunmeng Lake （P<0.05）.

The construction of expressways in Shandong Province serves as a strategic lever for regional coordinated development, injecting new momentum into the building of a strong socialist modernized Province in the new era. Based on an analysis of the current development status of expressway network in Shandong Province, this study identifies existing challenges, examines its spatial distribution patterns, and ultimately proposes targeted strategies and measures for its future advancement.

Education digital intelligence has become an important part of educational reform in colleges and universities at globally. Currently, the AI driven teaching-learning-management-evaluation system constructed by some domestic universities has achieved notable success. Focusing on the problems of lagging educational concepts of teachers, insufficient selfdirected learning ability of students, and insufficient digitalization of experimental practice in the AI era, Shandong Normal University's electronic information majors puts forward a new model of talent cultivation of “ cross-discipline, digital intelligence teaching, diversified evaluation, ideologically and politically casting of the soul, multi-dimensional learning”. Through this approach, the university explores and practices the cultivation of top innovative talents empowered by digital intelligence, providing a model that can be learn from by local colleges and universities.