Effect of Shortening Day Length on Immune Function in Siberian Hamsters

In order to understand the effect of gradual changes in photoperiod on immune function, adult female Siberian hamsters (Phodopus sungorus) were randomly divided into the control group (12L:12D, Con, n = 11) and the shortening day length group (SD, n = 11), in which day length was reduced from 12:12 h to 8:16 h light-dark cycle at the pace of half an hour every week. Meanwhile the winter immunoenhancement hypothesis, which holds that animals’ immune function would be enhanced in winter or winter-like conditions, was tested. Gradual shortening day length had no effect on body mass and body composition including wet carcass mass, the subcutaneous, retroperitoneal, mesenteric and total body fat masses in Siberian hamsters. The masses of liver and small intestine with contents were higher in the SD group than in the Con group, however other organ masses such as brain, heart, kidney and so on did not differ between the two groups. Phytohemagglutinin (PHA) response after 24 h of PHA injection was enhanced by the shortening photoperiod, which supported the winter immunoenhancement hypothesis. The masses of spleen and thymus, white blood cells, bacteria killing capacity indicative of innate immunity were not affected, which did not support this hypothesis. In summary, gradually decrease in day length increased cellular immunity, but had no effect on other immunological parameters in Siberian hamsters.

Achieving dynamic privacy measurement and protection based on reinforcement learning for mobile edge crowdsensing of IoT

With the maturity and development of 5G field,Mobile Edge CrowdSensing(MECS),as an intelligent data collection paradigm,provides a broad prospect for various applications in IoT.However,sensing users as data uploaders lack a balance between data benefits and privacy threats,leading to conservative data uploads and low revenue or excessive uploads and privacy breaches.To solve this problem,a Dynamic Privacy Measurement and Protection(DPMP)framework is proposed based on differential privacy and reinforcement learning.Firstly,a DPM model is designed to quantify the amount of data privacy,and a calculation method for personalized privacy threshold of different users is also designed.Furthermore,a Dynamic Private sensing data Selection(DPS)algorithm is proposed to help sensing users maximize data benefits within their privacy thresholds.Finally,theoretical analysis and ample experiment results show that DPMP framework is effective and efficient to achieve a balance between data benefits and sensing user privacy protection,in particular,the proposed DPMP framework has 63%and 23%higher training efficiency and data benefits,respectively,compared to the Monte Carlo algorithm.

2022 Chinese expert consensus and guidelines on clinical management of toxicity in anti-CD19 chimeric antigen receptor T-cell therapy for B-cell non-Hodgkin lymphoma

Adoptive cellular immunotherapy with chimeric antigen receptor(CAR)T cells has emerged as a novel modality for treating relapsed and/or refractory B-cell non-Hodgkin lymphoma(B-NHL).With increasing approval of CAR T-cell products and advances in CAR T cell therapy,CAR T cells are expected to be used in a growing number of cases.However,CAR T-cell-associated toxicities can be severe or even fatal,thus compromising the survival benefit from this therapy.Standardizing and studying the clinical management of these toxicities are imperative.In contrast to other hematological malignancies,such as acute lymphoblastic leukemia and multiple myeloma,anti-CD19 CAR T-cell-associated toxicities in B-NHL have several distinctive features,most notably local cytokine-release syndrome(CRS).However,previously published guidelines have provided few specific recommendations for the grading and management of toxicities associated with CAR T-cell treatment for B-NHL.Consequently,we developed this consensus for the prevention,recognition,and management of these toxicities,on the basis of published literature regarding the management of anti-CD19 CAR T-cell-associated toxicities and the clinical experience of multiple Chinese institutions.This consensus refines a grading system and classification of CRS in B-NHL and corresponding measures for CRS management,and delineates comprehensive principles and exploratory recommendations for managing anti-CD19 CAR T-cell-associated toxicities in addition to CRS.

“课程+竞赛+孵化”背景下的“双创”教学实践——以江门职业技术学院经管专业“创业魔法学堂”为例

传统的创新创业理论课程教学基础上,应当融入实践性探索,激发高校大学生内驱力以及潜能,自主研发,通过创新创业类竞赛,推广创新创业项目,有机会获得风投、融资机会,促进项目落地孵化。江门职业技术学院“创业魔法学堂”项目是以经管专业学生为试点,开展了颇见成效的“课程+竞赛+孵化”背景下的“双创”教学实践。