本文报道两例淋巴瘤病例，1例青年患者以腹胀乏力、尿色加深为首发症状，另 1例中年患者首发表现为腹痛。两例血常规散点图均可见淋巴细胞‑单核细胞散点区融合，结合仪器报警信息及外周血涂片镜检，为疾病早期识别提供重要线索。患者进一步完善细胞形态学、免疫学、细胞遗传学及分子生物学MICM分型检测，最终确诊淋巴瘤。本病例提示，检验人员应重视血常规散点图的异常改变与细节分析；白细胞散点图可有效提示外周血涂片镜检，有助于血液病初筛与快速诊断。对于淋巴瘤伴骨髓外周血侵犯的患者，初次血常规检测可提高早期诊断效率，为临床尽早干预、改善患者预后提供有力支撑。

Inherited hearing loss is becoming an increasingly tractable target for molecular intervention as cochlear gene delivery improves. Among the genes involved, GJB2 is one of the most common causes and is particularly challenging to treat with gene therapy. Biallelic loss-of-function variants often cause congenital or early-onset nonsyndromic hearing loss, whereas other variants can produce milder, progressive, or dominant phenotypes through different molecular mechanisms. Current interventions improve auditory function but leave the underlying cochlear defect unchanged. Gene therapy could address this defect directly, but GJB2 is not a single-cell target. Connexin 26 (Cx26), encoded by GJB2, functions across a distributed network of nonsensory cochlear cells, and early loss of Cx26 can disrupt cochlear maturation before hearing begins. An effective therapy must therefore do more than deliver a normal gene copy and must restore functional Cx26 across the relevant cellular network at an appropriate level and developmental stage.

针对高比例风电并网导致的系统低惯量及频率跌落问题，提出一种基于时变响应面（Time-Varying Response Surface Methodology, TV-RSM）的风储联合自适应协同调频策略。采用响应面法（RSM）构建包含时间维度的微分模型以显式表征系统复杂的非线性动态方程，替代高维仿真模型进行快速预测。在此基础上设计滚动时域优化算法，根据系统实时状态自适应整定综合惯量系数。仿真结果表明，所提 TV-RSM 模型对频率变化率（RoCoF）的预测均方根误差为 0.3524；相比传统惯量控制，该策略使系统最大频率偏差降低 19%，在提升频率最低点的同时消除了频率二次跌落现象，并将风机最大转速跌落幅度限制在传统惯量控制的 28.5%，实现了风储时序互补与系统频率动态性能优化。