Swell-shrink characteristic soils exhibit a high susceptibility to cracking during the drying process, which poses a significant risk of various geological disasters. Among these, the occurrence of drying shrinkage acts as a prerequisite for the cracking phenomenon. Therefore, it is of utmost importance to comprehend the specific characteristics associated with the drying shrinkage mechanism. To investigate the drying shrinkage behavior of swell-shrink characteristic soils, a series of drying shrinkage experiments were conducted on long strip samples of red clay and expansive soil. Utilizing three-dimensional digital image correlation (DIC) technology, the surface displacement, strain, and anisotropic shrinkage rates of the soil samples during the drying process were obtained, and the size effect on the drying shrinkage of swell-shrink characteristic soil were analyzed. The research findings are as follows: The displacement development of the soil samples in the X and Y directions can be divided into two stages: a linear growth stage and a stable displacement stage. In the Z direction, the soil surface deformation can be divided into three stages: soil surface arching, vertical shrinkage, and shrinkage stabilization. The drying shrinkage of swell-shrink characteristic soil exhibits anisotropy, with the vertical shrinkage rate being the largest, followed by the longitudinal and then the transverse directions. Additionally, the soil sample shrinkage exhibits a size effect, whereby the shrinkage rates in all directions increase with increasing sample width and thickness. During the drying shrinkage process, the stress state on the soil surface evolves from initial tensile strain to subsequent compressive strain. The strain at different positions and times within the soil sample is not uniform, resulting in the non-uniformity and anisotropy of the sample shrinkage. This study provides important insights into the cracking mechanism of swell-shrink characteristic soils and serves as a valuable reference for related laboratory experiments, which will contribute to better prediction and control the geological hazards caused by the drying shrinkage of swell-shrink characteristic soils.

Characterizing the ultimate tensile strength (UTS) of the meniscus is critical in studying knee damage and pathology. This study aims to determine the UTS of the meniscus with an emphasis on its heterogeneity and anisotropy. We performed tensile tests to failure on the menisci of six month old Yorkshire pigs at a low strain rate. Specimens from the anterior, middle and posterior regions of the meniscus were tested in the radial and circumferential directions. Then the UTS was obtained for each specimen and the data were analyzed statistically, leading to a comprehensive view of the variations in porcine meniscal strength. The middle region has the highest average strength in the circumferential (43.3 ± 4.7 MPa) and radial (12.6 ± 2.2 MPa) directions. This is followed by the anterior and posterior regions, which present similar average values (about 34.0MPa) in circumferential direction. The average strength of each region in the radial direction is approximately one-fourth to one-third of the value in the circumferential direction. This study is novel as it is the first work to focus on the experimental methods to investigate the heterogeneity and anisotropy only for porcine meniscus.

OBJECTIVE: There is heterogeneity of white matter damage in Parkinson\'s disease patients with different cognitive states. Our aim was to find sensitive diffusional kurtosis imaging biomarkers to differentiate the white matter damage pattern of mild cognitive impairment and dementia.
METHODS: Nineteen patients with Parkinson disease with mild cognitive impairment and 18 patients with Parkinson disease with dementia were prospectively enrolled. All participants underwent MR examination with 3D-T1-weighted image and diffusional kurtosis imaging sequences. Demographic data were compared between the 2 groups. Voxelwise statistical analyses of diffusional kurtosis imaging parameters were performed using tract-based spatial statistics. The receiver operator characteristic curve of significantly different metrics was graphed. The correlation of significantly different metrics with global cognitive status was analyzed.
RESULTS: Compared with the Parkinson disease with mild cognitive impairment group, the fractional anisotropy and mean kurtosis values decreased in 4 independent clusters in the forceps minor, forceps major, inferior fronto-occipital fasciculus, and the inferior and superior longitudinal fasciculus in patients with Parkinson disease with dementia; the mean diffusivity decreased in 1 cluster in the forceps minor. The fractional anisotropy value in the inferior fronto-occipital fasciculus and inferior longitudinal fasciculus would be the diffusional kurtosis imaging marker for the differential diagnosis of Parkinson disease with mild cognitive impairment and patients with Parkinson disease with dementia, with the best diagnostic efficiency of 0.853. The fractional anisotropy values in the forceps minor (β = 84.20, P < .001) and years of education (β = 0.38, P = .014) were positively correlated with the Montreal Cognitive Assessment.
CONCLUSIONS: The diffusional kurtosis imaging-derived fractional anisotropy and mean kurtosis can detect the different white matter damage patterns of Parkinson disease with mild cognitive impairment and Parkinson disease with dementia. Fractional anisotropy is more sensitive than mean kurtosis in the differential diagnosis; fractional anisotropy derived from diffusional kurtosis imaging could become a promising imaging marker for the differential diagnosis of Parkinson disease with mild cognitive impairment and Parkinson disease with dementia.

The deep drawing process, a pivotal technique in sheet metal forming, frequently encounters challenges such as anisotropy-induced defects. This study comprehensively investigates the influence of various yield criteria on the anisotropic behavior and fracture prediction in SECC steel cylindrical cups. It integrates Hill\'48R, Hill\'48S, and von Mises yield criteria in conjunction with Swift\'s hardening law to evaluate material behavior under complex stress states. Experimental and numerical simulations assess the anisotropy effects across multiple orientations (0°, 45°, and 90°), revealing intricate relationships between stress criteria and material response. The findings indicate significant discrepancies between isotropic and anisotropic models in predicting fracture heights, emphasizing the importance of selecting appropriate yield criteria. Notably, the von Mises criterion results in lower fracture heights, suggesting higher susceptibility to fractures, while the Hill\'48R model aligns closely with experimental data, validated through variations in punch corner radius and blank holder force parameters, with a maximum deviation of 3.23%. Hill\'48S displays moderate plastic deformation characteristics.

OBJECTIVE: This study recommends clinical epidermal dose calculation methods based on in-vivo film measurements and registered skin dose distributions with the Eclipse (Varian Medical Systems) treatment planning system\'s Analytical Anisotropic Algorithm (AAA) and Acuros XB (AXB) dose calculation algorithms.
METHODS: Eighteen AAA V13.6 breast plans were recalculated using AXB (dose to medium) V13.5 with the same beam parameters and monitor units as in the original plans. These are compared against in-vivo Gafchromic film measurements from the lateral and inferior breast regions. Three skin structures in the treatment planning system are evaluated: a surface layer of voxels of the body contour, a 0.2 cm internal skin rind, and a 0.5 cm internal skin rind.
RESULTS: Systematic shifts are demonstrated between the film measurements of skin dose and the Eclipse dose calculations. On average, the dose to the surface layer of pixels is underestimated by AAA by 8% and overestimated by AXB by 3%. A 5 mm skin rind extended into the body can increase epidermal dose calculations on average by 8% for AAA and 4% for AXB.
CONCLUSIONS: This is the first study to register in-vivo skin dose distributions in the breast to the treatment planning system for comparison. Based on the results from this study it is recommended that epidermal dose is calculated with a 0.5 cm skin rind for the AAA algorithm and with rind thickness up to 0.2 cm for the AXB algorithm.

Objective: To explore the brain white matter damage in patients with moderate to severe obstructive sleep apnea hypopnea syndrome(OSAHS) using diffusional kurtosis imaging(DKI), and to analyze its relationship with anxiety, depression and cognitive impairment in patients. Methods: This was a retrospective case-control study. Fifty confirmed cases (47 males and 3 females) of moderate to severe OSAHS diagnosed by polysomnography(PSG) from November 2017 to December 2022 were selected as OSAHS group(age range from 22 to 65 years old, with median age of 40 years old), and 32 healthy controls(27 males and 5 females) of non-OSAHS diagnosed by PSG were selected as control group(age range from 19 to 56 years old, with median age of 34 years old). DKI scanning, Beck Anxiety Inventory(BAI), Beck Depression Inventory-Ⅱ(BDI-Ⅱ), and Montreal cognitive assessment(MoCA) scores were performed in all subjects. Differences in kurtosis fractional anisotropy(KFA) of various brain regions were compared between the two groups to identify differential brain regions. Correlations were analyzed between KFA reduction and anxiety, depression, and cognitive impairment in OSAHS patients. To study the correlation between brain injury and anxiety, depressive mood, and cognitive dysfunction, statistical methods such as non-parametric tests for two independent samples, chi-square tests, and partial correlation analysis, were used to analyze the evaluation indicators of the two groups. Results: The KFA values in right external capsule, left anterior corona radiata, right anterior corona radiata, left posterior corona radiata, right posterior corona radiata, left superior corona radiata, right superior corona radiata, left superior longitudinal fasciculus, right superior longitudinal fasciculus, genu of corpus callosum, splenium of corpus callosum, body of corpus callosum, posterior cingulate gyrus of moderate to severe OSAHS group were all lower than those in the control group(t=-2.247, -3.028, -3.955, -4.871, -2.632, -2.594, -2.121, -2.167, -3.129, -2.015, -2.317, -2.313, -2.152,P<0.05). For the moderate to severe OSAHS group, the correlation between AHI and KFA values of right posterior corona radiata, right superior corona radiata, left anterior corona radiata, left posterior corona radiata, left superior corona radiata, left superior longitudinal fasciculus, genu of corpus callosum, body of corpus callosum, splenium of corpus callosum were all negative(r=-0.378, -0.307, -0.337, -0.343, -0.341, -0.613, -0.390, -0.384, -0.396, P<0.05). The correlation between LSO2 and KFA values of right anterior corona radiata, right posterior corona radiata, right superior corona radiata, right superior longitudinal fasciculus, left anterior corona radiata, left posterior corona radiata, left superior corona radiata, left superior longitudinal fasciculus, genu of corpus callosum, body of corpus callosum, splenium of corpus callosum, posterior cingulate gyrus were all positive(r=0.330, 0.338, 0.425, 0.312, 0.433, 0.358, 0.410, 0.459, 0.473, 0.659, 0.489, 0.356, P<0.05). The correlation between BAI scores and KFA values of right external capsule, right anterior corona radiata, left posterior corona radiata, left superior corona radiata, body of corpus callosum, splenium of corpus callosum were all negative(r=-0.306, -0.372, -0.296, -0.346, -0.318, -0.386, P<0.05). The correlation between BDI-Ⅱ scores and KFA values of right superior corona radiata, right superior longitudinal fasciculus, left anterior corona radiata, genu of corpus callosum, body of corpus callosum, splenium of corpus callosum were all negative(r=-0.334, -0.289, -0.309, -0.310, -0.503, -0.469, P<0.05). The correlation between MoCA scores and KFA values of right posterior corona radiata, right superior longitudinal fasciculus, left anterior corona radiata, left superior corona radiata, left superior longitudinal fasciculus, genu of corpus callosum, body of corpus callosum, splenium of corpus callosum were all positive(r=0.368, 0.431, 0.324, 0.410, 0.469, 0.384, 0.369, 0.309, P<0.05). Conclusions: With the aggravation of OSAHS, the damage to some brain regions becomes more pronounced in moderate to severe OSAHS patients. These damage brain functional areas are closely related to the anxiety, depression, and cognitive impairment of patients.
目的： 应用弥散峰度成像（diffusional kurtosis imaging，DKI）探索中重度阻塞性睡眠呼吸暂停低通气综合征（obstructive sleep apnea hypopnea syndrome，OSAHS）患者脑白质损害与焦虑、抑郁情绪和认知功能障碍的相关性。 方法： 回顾性病例对照研究选取中国人民解放军北部战区总医院耳鼻咽喉头颈外科在2017年11月至2022年12月行多导睡眠呼吸监测（polysomnography，PSG）确诊为中重度OSAHS患者50例（中重度OSAHS组，男47例，女3例），年龄22~65岁（中位年龄40岁）；同时选取行PSG检查的非OSAHS者32例（对照组，男27例，女5例），年龄19~56岁（中位年龄34岁）。所有受试者均行DKI扫描及贝克焦虑量表（Beck anxiety inventory，BAI）、贝克抑郁量表第2版（Beck depression inventory-Ⅱ，BDI-Ⅱ）、蒙特利尔认知评估量表（Montreal cognitive assessment，MoCA）评分，找出峰度各向异性分数（kurtosis fractional anisotropy，KFA）有差异的脑区，并分析OSAHS患者KFA值减低脑区与焦虑、抑郁和认知障碍的相关性。采用两独立样本非参数检验、卡方检验和偏相关分析等统计学方法，分析2组人群的评估指标。 结果： 中重度OSAHS组在右侧外囊、左前放射冠、右前放射冠、左后放射冠、右后放射冠、左上放射冠、右上放射冠、左上纵束、右上纵束、胼胝体膝部、胼胝体压部、胼胝体体部及后扣带回区域白质纤维束的KFA值均低于对照组（t=-2.247、-3.028、-3.955、-4.871、-2.632、-2.594、-2.121、-2.167、-3.129、-2.015、-2.317、-2.313、-2.152，P<0.05）。在中重度OSAHS组中：BAI评分与右外囊、右前放射冠、左后放射冠、左上放射冠、胼胝体体部、胼胝体压部的KFA值呈负相关（r=-0.306、-0.372、-0.296、-0.346、-0.318、-0.386，P<0.05）；BDI-Ⅱ评分与右上放射冠、右上纵束、左前放射冠、胼胝体膝部、胼胝体体部、胼胝体压部的KFA值呈负相关（r=-0.334、-0.289、-0.309、-0.310、-0.503、-0.469，P<0.05）；MoCA评分与右后放射冠、右上纵束、左前放射冠、左上放射冠、左上纵束、胼胝体膝部、胼胝体体部、胼胝体压部的KFA值呈正相关（r=0.368、0.431、0.324、0.410、0.469、0.384、0.369、0.309，P<0.05）。 结论： 中重度OSAHS患者部分脑区的损害明显，受损的脑功能区与患者焦虑、抑郁情绪和认知功能减退密切相关。.

The multicomponent relaxation observed in nuclear magnetic resonance experiments in biological tissues makes it difficult to establish a correlation between specific relaxation times and tissue structural parameters. The analysis of a nanostructure (the characteristic size of 10-1000 nm) is usually based on formulas for relaxation times which depend on structural parameters at the atomic or molecular levels in the size range of 0.1-5 nm. We have recently developed an analysis method in which relaxation times\' anisotropy in a sample is explicitly related to its structure of nanocavities containing a liquid or gas. However, the method is based on the analysis of experimental data on the anisotropy of relaxation times obtained by using the standard NMR technique and rotating the sample relative to a magnetic field and requires a series of experiments. In the present study, to address this challenge, we develop a new method of analysis of a multi-exponential magnetic resonance signal that does not require determining relaxation times and eliminates the sample rotation and the necessity of a series of experiments. Using the magnetic resonance imaging (MRI) technique, the total signal from the whole sample was obtained as a sum of the signals (echo decays) from all voxels. In contrast to previous research, the volumes of nanocavities and their angular distribution can be obtained by analyzing a single total signal for the entire cartilage. In addition, within the framework of this approach, it is possible to identify the reason for the multicomponent nature of relaxation. The proposed method for analyzing a single multi-exponential signal (transverse relaxation) was implemented on cartilage. Using the signal, three anatomical zones of cartilage were studied, revealing significant structural differences between them. The proposed method not only avoids the need for sample rotation but also enables repeated application of layer-by-layer magnetic resonance imaging with micron resolution. The study results allow us to suggest that water molecules contributing to the echo decay are more likely located in nanocavities formed by the fibrillar structure rather than inside the fibrils.

Since sheet metal exhibits significant anisotropy in processing and forming, which has a significant impact on its performance during processing, forming, and use, we explore the anisotropic behavior of materials in the forming process of sheet metal. The ability of the Yld2000-2d criterion to describe anisotropic behavior is analyzed, and its accuracy for characterization of the anisotropic behavior of metal plates is improved, based on which anisotropic behavior is predicted in three-dimensional space. Theoretical and experimental results on the anisotropy of sheet metal are compared, and two materials, 5754O aluminum alloy and DP980 steel plate, are tested and analyzed, and the anisotropic behaviors, such as three-point bending and cylindrical deep-drawing, are well predicted.

In order to study the failure mode and fracture evolution characteristics of red shale in Kaiyang Phosphorus mining area, conventional triaxial compression mechanical tests of red shale with different bedding dip angles were carried out by using DSTD-1000 electro-hydraulic servo rock mechanics experiment system. Based on the laboratory test results, the conventional triaxial particle flow simulation of red shale samples with different bedding dip angles was carried out using discrete element PFC2D. The results show that: (1) the failure mode of red shale is controlled by bedrock when the bedding dip angle is 0° and 60° ~ 90°. When the bedding dip angle is 15° ~ 45°, the rock failure mode is controlled by bedding. The compressive strength of rock is the minimum when the bedding dip angle is 30°and the maximum at 0°, which is about 2 times of the minimum. (2) In the failure process of red shale, the cracks with different bedding dip angles show slow growth stage, accelerated growth stage and stable stage with axial strain. The whole failure process is dominated by tensile cracks, accompanied by a few shear cracks. (3) The type of displacement field varies with the bedding dip angle: tensile failure and shear failure are the main displacement field types at 15° ~ 45°, and mixed failure is often the main mode at 60° ~ 90°and 0°. The research results provide the basis and reference for the safety control of red shale roadway.

OBJECTIVE: The purpose of this study to determinate whether there is a relationship between the nutritional status and white matter integrity in older patients by using Diffusion Tensor Imaging (DTI).
METHODS: The patients were evaluated by Mini-Nutritional Assessment Scale. The patients are categorized in the groups of well-nourished, risk of malnutrition, or malnourished, depending on the overall score> 23.5, 17-23.5, or 17; respectively. All patients had brain MRI and DTI. The mean diffusivity (MD), fractional anisotropy (FA), axial diffusivity (AD) and radial diffusivity (RD) values were calculated by ROI-based method in white matter tracts.
RESULTS: Total of the 224 patients; 86 patients had normal nutrition status (group 1), 107 patients were diagnosed with malnutrition risk (group 2) and 31 patients were diagnosed with malnutrition (group 3). Significantly decreased FA values of genu of corpus callosum, forceps minor and significantly increased MD values of middle cerebellar peduncle, and superior frontooccipital fasciculus were detected in group 2 in comparison to group 1 (p < 0.05). After adjusting for the folate and age, MD and RD values of cingulum remained significantly higher and the AD values of superior cerebellar peduncle remained significantly lower in group 3 (p < 0.05).
CONCLUSIONS: Malnutrition was associated with deteriorated DTI values, especially in cingulum and superior cerebellar peduncle. Assessing the nutritional status of older individuals is crucial to avoid its negative impact on brain.
CONCLUSIONS: Early diagnosis of malnutrition-related impaired WM integrity is important for prevention and intervention, and DTI is a useful non-invasive technique to be used for this purpose.