This thesis found the female homicide cases present its own characteristics because of differences in psychological, physiology characteristics, character between males and females through the statistical analysis of age distribution, the relationship between criminal suspects and victims, the classification of crime scenes, injury tools and the mortal wound positions of 116 female homicide cases in Lianyungang between 1993 to 2014. Mostly, the relationship between criminal suspects and victims is family, especially couple or valentine; the crime scenes are frequently indoor, especially bedrooms. They always choose production and life tools when victims are in deep sleep or drunk time to make the victims asphyxia, posioning or drowning. The injuries focus on vitals and usually hit many times lead to mortal wound, agonal trauma and postmortem injury.

Objective: To investigate whether grain-sized moxibustion at Xinshu (BL15) and Shenshu (BL23) can alleviate cognitive decline and other pathologic features in early-stage Alzheimer disease (AD) using transgenic mice with 5 familial AD mutations (5XFAD). Methods: The genotype of transgenic mice was detected by polymerase chain reaction. A total of 40 transgenic mice (1.5 months old) were randomly and equally allocated to an AD model group (5XFAD group) or a grain-sized moxibustion group (5XFAD + GM group), with 20 wild-type (WT) mice (C57BL/6J) serving as the normal control group (WT group). Mice in the 5XFAD + GM group were treated by grain-sized moxibustion at bilateral Xinshu (BL15) and Shenshu (BL23). Mice in the WT group and 5XFAD group received no treatment but were restrained to ensure exposure to a similar experimental condition. Cognitive function and memory were assessed with the Morris water maze and Y-maze tests. The amyloid β 40 (Aβ40) and amyloid β 42 (Aβ42) levels in the brain were evaluated by enzyme-linked immunosorbent assay; amyloid plaque deposition in brain tissue sections was detected by thioflavin-S staining; the expression of glial fibrillary acidic protein (GFAP), cluster of differentiation 11b (CD11b), brain-derived neurotrophic factor (BDNF), and choline acetyltransferase (ChAT) in the hippocampus and prefrontal cortex was analyzed by immunohistochemistry. Results: In the Morris water maze test, compared with the 5XFAD group, mice in the 5XFAD + GM group had a shorter escape latency and more target area crossings and spent more time in the target quadrant (P<0.05). In the Y-maze test, compared with the 5XFAD group, the number of training times of the 5XFAD + GM group was significantly decreased (P<0.05), together with more correct responses (P<0.05). Compared with the 5XFAD group, the levels of Aβ40 and Aβ42 in the brain tissue of the 5XFAD + GM group were significantly lower (P<0.05); in the hippocampus and prefrontal cortex, the total number of amyloid β plaque deposition were significantly lower (P<0.05); the expression levels of GFAP and CD11b were significantly reduced (P<0.05); and the expression levels of ChAT and BDNF were significantly increased (P<0.05).Conclusion: Grain-sized moxibustion at Xinshu (BL15) and Shenshu (BL23) greatly improves learning and memory functions, decreases the levels of Aβ40 and Aβ42, inhibits amyloid β plaque deposition, decreases the expression of GFAP and CD11b, and increases the expression of ChAT and BDNF in AD mice to inhibit the progression of AD.

OBJECTIVE: To explore the clinical characteristics and genetic variants in a patient with adult ceroid lipofuscinosis neuronal type 7 (ACLN7). METHODS: A female patient diagnosed with ACLN7 in Henan Provincial People's Hospital in June 2021 was selected as the study subject. Clinical data, auxiliary examination and result of genetic testing were retrospectively analyzed. RESULTS: The patient, a 39-year-old female, has mainly presented progressive visual loss, epilepsy, cerebellar ataxia and mild cognitive decline. Neuroimaging analysis has revealed generalized brain atrophy, prominently cerebellum. Fundus photography has revealed retinitis pigmentosa. Ultrastructural skin examination has revealed granular lipofuscin deposits in the periglandular interstitial cells. Whole exome sequencing revealed that she has harbored compound heterozygous variants of the MSFD8 gene, namely c.1444C>T (p.R482*) and c.104G>A (p.R35Q). Among these, c.1444C>T (p.R482*) was a well established pathogenic variant, while c.104G>A (p.R35Q) was a missense variant unreported previously. Sanger sequencing confirmed that the daughter, son and elder brother of the proband have respectively carried heterozygous c.1444C>T (p.R482*), c.104G>A (p.R35Q), and c.104G>A (p.R35Q) variants of the same gene. The family has therefore fit with the autosomal recessive inheritance pattern of the CLN7. CONCLUSION Compared with previously reported cases, this patient has the latest onset of the disease with a non-lethal phenotype. Her clinical features have involved multiple systems. Cerebellar atrophy and fundus photography may be indicative of the diagnosis. The c.1444C>T (p.R482*) and c.104G>A (p.R35Q) compound heterozygous variants of the MFSD8 gene probably underlay the pathogenesis in this patient.
Male ; Female ; Humans ; Membrane Transport Proteins/genetics* ; Neuronal Ceroid-Lipofuscinoses/diagnosis* ; Retrospective Studies ; Atrophy ; Mutation

Objective:To explore the value of machine-learning models based on magnetic resonance imaging(MRI)radiomics features for the preoperative prediction of the blood supply in pituitary neuroendocrine tumors.Methods:A retrospective analysis was performed on the clinical and imaging data of 136 patients with pathologically confirmed pituitary neuroendocrine tumors(diameter>10 mm)from April 2013 to April 2023 at Yi Jishan Hospital of Wannan Medical College.Based on the intraoperative findings,the patients were assigned into richly vascularized(n=50)and normally vascularized(n=86)groups.All patients were allocated randomly in a 7:3 ratio into a training(n=96)or a validation group(n=40).Three machine-learning algorithms,multivariate Logistic regression(LR),random forest(RF),and support vec-tor machine(SVM),were used to establish radiomics prediction models.Receiver operating characteristic(ROC)curves were plotted to eval-uate the diagnostic performance of the models;decision curve analysis(DCA)was used to assess the net clinical benefit of the models.Res-ults:The clinical model achieved areas under the ROC curve(AUC)of 0.74 and 0.82 in the training and validation groups,respectively.The radiomics models using T1-weighted imaging(WI),T2WI,T1WI-enhanced,and combined sequences achieved AUCs of 0.80,0.84,0.82,and 0.84 in the training group and 0.82,0.80,0.85,and 0.83 in the validation group,respectively.The LR,RF,and SVM models had AUCs of 0.85,0.87,and 0.84 in the training group and 0.85,0.85,and 0.83 in the validation group,respectively.All radiomics models demonstrated great-er diagnostic efficacy than the clinical model.DCA indicated that the LR,SVM,and combined-sequence models achieved good net clinical be-nefits;the LR model showed the best results.Conclusions:Machine-learning models based on MRI radiomics exhibit high predictive value,surpassing the clinical judgment of radiologists based on MRI images alone,and offer a favorable net clinical benefit.

Deep learning (DL) has achieved state-of-the-art performance in many digital pathology analysis tasks. Traditional methods usually require hand-crafted domain-specific features, and DL methods can learn representations without manually designed features. In terms of feature extraction, DL approaches are less labor intensive compared with conventional machine learning methods. In this paper, we comprehensively summarize recent DL-based image analysis studies in histopathology, including different tasks (e.g., classification, semantic segmentation, detection, and instance segmentation) and various applications (e.g., stain normalization, cell/gland/region structure analysis). DL methods can provide consistent and accurate outcomes. DL is a promising tool to assist pathologists in clinical diagnosis.