Fecal microbiota transplantation ameliorates abdominal obesity through inhibiting microbiota-mediated intestinal barrier damage and inflammation in mice.

Abdominal obesity (AO), characterized by the excessive abdominal fat accumulation, has emerged as a significant public health concern due to its metabolic complications and escalating prevalence worldwide, posing a more pronounced threat to human health than general obesity. While certain studies have indicated that intestinal flora contributed to diet-induced general obesity, the precise involvement of gut microbiota in the development of AO, specifically the accumulation of abdominal fat, remains inadequately explored. In this study, the 16 S rDNA sequencing was employed to analyze gut flora alterations, and the intestinal microbiota dysbiosis characterized by a vanishing decline of Akkermansia was found in the AO group. Along with notable gut microbiota changes, the intestinal mucosal barrier damage and metabolic inflammation were detected, which collectively promoted metabolic dysregulation in AO. Furthermore, the metabolic inflammation and AO were ameliorated after the intestinal microbiota depletion with antibiotics (ABX) drinking, underscoring a significant involvement of gut microbiota dysbiosis in the progression of AO. More importantly, our findings demonstrated that the transplantation of healthy intestinal flora successfully reversed the gut microbiota dysbiosis, particularly the decline of Akkermansia in the AO group. The gut flora reshaping has led to the repair of gut barrier damage and mitigation of metabolic inflammation, which ultimately ameliorated abdominal fat deposition. Our study established the role of interactions between gut flora, mucus barrier, and metabolic inflammation in the development of AO, thereby offering a theoretical foundation for the clinical application of fecal microbiota transplantation (FMT) as a treatment for AO.

Estimation of the ice melting point in molecular dynamics simulations based on the finite-size effects.

Predicting the ice melting point using molecular dynamics (MD) simulations is nontrivial due to uncertainty associated with the stochastic nature of the simulation and effect of finite domain sizes on the simulated ice-water phase transition. We developed a method based on the percolation theory to make use of the finite size effects to allow determination of a unique critical phase transition temperature as the melting point. The method involves construction of melting/freezing probability curves from multiple simulations with varying temperatures for different domain sizes. While the domain sizes affect the apparent melting/freezing probability and hence generate different curves with a wider probability distribution for a smaller size, the intersection of these curves is unique and locates the melting point. Based on MD simulations using the Tip4p/Ice water model, we tested and demonstrated the effectiveness of this method in locating the critical ice-water phase transition at a melting temperature of 268.78 K. Our analysis also showed that the apparent melting probability at this critical point is ∼0.69, not 0.5 assumed in the ad hoc method used previously. Our method, making no assumption about the system size, may provide a generic framework for analyzing phase transitions influenced by the finite size effects in MD simulations.

EZH2 Inhibition Sensitizes IDH1R132H-Mutant Gliomas to Histone Deacetylase Inhibitor.

Isocitrate Dehydrogenase-1 (IDH1) is commonly mutated in lower-grade diffuse gliomas. The IDH1R132H mutation is an important diagnostic tool for tumor diagnosis and prognosis; however, its role in glioma development, and its impact on response to therapy, is not fully understood. We developed a murine model of proneural IDH1R132H-mutated glioma that shows elevated production of 2-hydroxyglutarate (2-HG) and increased trimethylation of lysine residue K27 on histone H3 (H3K27me3) compared to IDH1 wild-type tumors. We found that using Tazemetostat to inhibit the methyltransferase for H3K27, Enhancer of Zeste 2 (EZH2), reduced H3K27me3 levels and increased acetylation on H3K27. We also found that, although the histone deacetylase inhibitor (HDACi) Panobinostat was less cytotoxic in IDH1R132H-mutated cells (either isolated from murine glioma or oligodendrocyte progenitor cells infected in vitro with a retrovirus expressing IDH1R132H) compared to IDH1-wild-type cells, combination treatment with Tazemetostat is synergistic in both mutant and wild-type models. These findings indicate a novel therapeutic strategy for IDH1-mutated gliomas that targets the specific epigenetic alteration in these tumors.

PDDD-PreTrain: A Series of Commonly Used Pre-Trained Models Support Image-Based Plant Disease Diagnosis.

Plant diseases threaten global food security by reducing crop yield; thus, diagnosing plant diseases is critical to agricultural production. Artificial intelligence technologies gradually replace traditional plant disease diagnosis methods due to their time-consuming, costly, inefficient, and subjective disadvantages. As a mainstream AI method, deep learning has substantially improved plant disease detection and diagnosis for precision agriculture. In the meantime, most of the existing plant disease diagnosis methods usually adopt a pre-trained deep learning model to support diagnosing diseased leaves. However, the commonly used pre-trained models are from the computer vision dataset, not the botany dataset, which barely provides the pre-trained models sufficient domain knowledge about plant disease. Furthermore, this pre-trained way makes the final diagnosis model more difficult to distinguish between different plant diseases and lowers the diagnostic precision. To address this issue, we propose a series of commonly used pre-trained models based on plant disease images to promote the performance of disease diagnosis. In addition, we have experimented with the plant disease pre-trained model on plant disease diagnosis tasks such as plant disease identification, plant disease detection, plant disease segmentation, and other subtasks. The extended experiments prove that the plant disease pre-trained model can achieve higher accuracy than the existing pre-trained model with less training time, thereby supporting the better diagnosis of plant diseases. In addition, our pre-trained models will be open-sourced at https://pd.samlab.cn/ and Zenodo platform https://doi.org/10.5281/zenodo.7856293.

Gender differences in behavioral inhibitory control under evoked acute stress: An event-related potential study.

Purpose: This study investigated gender differences in behavioral inhibitory control among college students under acute stress state by using event-related potential technique. Methods: Acute stress was evoked in 41 college students (22 males and 19 females) using the Trier Social Stress paradigm, and the neutral state was matched using out-of-speech reading, with subjects completing a two-choice Oddball task in each of the two states. In combination with the ERP technique, the area under the stress curve, reaction time, number of errors, and the difference waves between the two stimulus conditions in the frontal-central region N2 wave amplitude and the parietal-central region P3 wave amplitude were compared between the two groups of subjects in the stressful and neutral state. Results: The results revealed that the area under the stress curve was larger under the stress condition compared to the neutral condition, and the area under the stress curve was larger in females than in males. Behavioral results showed no statistically significant differences in reaction time and number of errors between the two genders in the acute stress condition. The ERP results showed that the wave amplitudes of N2 and P3 decreased significantly in both genders in the acute stress state. The decrease in N2 amplitude was greater in females during the transition from neutral to stressful condition, while the difference in P3 amplitude was not statistically significant in both genders. Conclusion: The findings suggest that evoked acute stress can promote behavioral inhibitory control in both genders and that females are more sensitive to acute stress state.

Contact Angle on Rough Curved Surfaces and Its Implications in Porous Media.

The equilibrium contact angle depends on both the chemistry of the two fluids and solid base and the microstructure on the solid surface. Actual surface of the pore wall in porous media is typically rough and curved, which has not been well-considered in related applications. This work uses a free interfacial energy minimization approach to theoretically derive the equilibrium contact angle on two specific surface structures on flat surfaces and extends the derivation considering the surface curvatures in porous media. Results reveal that the equilibrium contact angle is not dependent on the curvature of spherical surfaces, and we further prove that this conclusion applies to any point along the apparent common line at solid surfaces with any arbitrary curvature. The fundamental physics is the local mechanical balance of a composite contact among three interfacial tensions. Furthermore, the contacting mode can shift from non-wetting to wetting when the pressure difference between two fluids exceeds the entry pressure of the microstructures, which should be considered in relative dynamic scenarios such as rain droplet impact and fluid displacement in porous media. Note that these conclusions are from pure theoretical analysis based on idealistic assumptions, and real circumstances may deviate from these assumptions.

Miper-MVS: Multi-scale iterative probability estimation with refinement for efficient multi-view stereo.

Multi-view stereo reconstruction aims to construct 3D scenes from multiple 2D images. In recent years, learning-based multi-view stereo methods have achieved significant results in depth estimation for multi-view stereo reconstruction. However, the current popular multi-stage processing method cannot solve the low-efficiency problem satisfactorily owing to the use of 3D convolution and still involves significant amounts of calculation. Therefore, to further balance the efficiency and generalization performance, this study proposed a multi-scale iterative probability estimation with refinement, which is a highly efficient method for multi-view stereo reconstruction. It comprises three main modules: 1) a high-precision probability estimator, dilated-LSTM that encodes the pixel probability distribution of depth in the hidden state, 2) an efficient interactive multi-scale update module that fully integrates multi-scale information and improves parallelism by interacting information between adjacent scales, and 3) a Pi-error Refinement module that converts the depth error between views into a grayscale error map and refines the edges of objects in the depth map. Simultaneously, we introduced a large amount of high-frequency information to ensure the accuracy of the refined edges. Among the most efficient methods (e.g., runtime and memory), the proposed method achieved the best generalization on the Tanks & Temples benchmarks. Additionally, the performance of the Miper-MVS was highly competitive in DTU benchmark. Our code is available at https://github.com/zhz120/Miper-MVS.

Meta-learning shows great potential in plant disease recognition under few available samples.

Plant diseases worsen the threat of food shortage with the growing global population, and disease recognition is the basis for the effective prevention and control of plant diseases. Deep learning has made significant breakthroughs in the field of plant disease recognition. Compared with traditional deep learning, meta-learning can still maintain more than 90% accuracy in disease recognition with small samples. However, there is no comprehensive review on the application of meta-learning in plant disease recognition. Here, we mainly summarize the functions, advantages, and limitations of meta-learning research methods and their applications for plant disease recognition with a few data scenarios. Finally, we outline several research avenues for utilizing current and future meta-learning in plant science. This review may help plant science researchers obtain faster, more accurate, and more credible solutions through deep learning with fewer labeled samples.

Preparation and Characterization of Polypropylene/Sepiolite Nanocomposites for Potential Application in Automotive Lightweight Materials.

Polypropylene (PP)/sepiolite nanocomposites were prepared using the melt blending technique. The effects of nano-sepiolite content on the mechanical property, thermal property, crystallinity, morphology and rheological property of PP/sepiolite nanocomposites were investigated. The organic modified sepiolites (OSep) were dispersed evenly in PP matrix after surface treatment. The addition of OSep improved the storage modulus and thermal stability, showing a strong interaction between OSep and PP matrix. With the increase of OSep content, the fluidity of PP/OSep composites first increased due to the lubrication of surface modifiers and then decreased due to the interaction between OSep and PP. The size of the toughening agent elastomer first increased and then decreased, and the impact notched strength of PP/Osep composites first decreased and then increased. The loading of OSep also reduced the crystallinity and shrinkage rate of PP. PP/OSep nanocomposites have potential applications in high-performance automotive lightweight materials.

Phase-modulated continuous-wave coherent ranging method for optical phased array lidar.

Light detection and ranging (lidar) is widely accepted as an indispensable sensor for autonomous vehicles. There are two fundamental challenges in a lidar system: optical beam steering technique and ranging method. Optical phased array (OPA) is considered as one of the most promising beam steering schemes due to its solid state, compact size, and high reliability. As for ranging method, time-of-flight and frequency-modulate continuous-wave (FMCW) are commonly utilized in numerous research. However, they are impractical to commercial OPA lidar due to either requiring excessive optical power or the poor stability, high complexity, and high insertion loss of the FMCW source. As a result, the development of OPA lidars is significantly hindered by the lack of a feasible ranging method. In this paper, we present a phase-modulated continuous-wave (PhMCW) ranging method with excellent ranging accuracy and precision. Ranging error as low as 0.1 cm and precision on the order of 3.5 cm are achieved. In addition, theoretical and experimental study on simultaneous velocity measurement is carried out and velocity error as low as 0.15 cm/s is obtained. Finally, we develop a proof-of-concept OPA-PhMCW lidar and obtain a point cloud with excellent fidelity. Our work paves a novel approach to solid-state, cost-effective and high-performance OPA lidars.

Study of Temperature Changes around Fibres in Super Pulse Thulium Fibre Laser in Vitro Lithotripsy.

PURPOSE: To investigate temperature changes around the fibres of the super pulse thulium fibre laser (SP-TFL) during in vitro lithotripsy. MATERIALS AND METHODS: Stones were placed in the in vitro model. The laser was continuously excited for 180 s; the probe was positioned 5 mm around the fibre; the laser power was set at 10, 15, 20, 25, and 30 W; and the irrigation rate was set at 0, 15, 25, 35 ml/min, using a domestic SP-TFL. The temperature variations around the fibre under different power settings and different irrigation rates were compared. RESULTS: Without irrigation, the temperature around the fibre rapidly reached the safety threshold of 43℃ at 24 s. At irrigation rate 15 ml/min and laser power <15 W, the temperature around the fibre was <43℃. Once the laser power increased to ≥20 W, the temperature around the fibre increased to >43℃ at its lowest plateau. At irrigation rate 25 ml/min and laser power ≤25 W, the temperature around the fibre was <43℃. At irrigation rate 35 ml/min and laser power <30 W, the fibre temperature was <43℃. When laser power was ≥30 W, the fibre temperature was >43℃. CONCLUSION: In extracorporeal ureteroscope SP-TFL lithotripsy, when the laser power is ≤15 W, ≤25 W, and ≤30 W, the irrigation rate should be maintained at ≥15 ml/min, ≥25 ml/min, and ≥35 ml/min, respectively.

Comparison of temperature rise curve and steady state temperature during thulium and holmium laser lithotripsy / 中华泌尿外科杂志

Objective:To compare the temperature rise curve and steady-state temperature of thulium and holmium laser in lithotripsy.Methods:This study was conducted from November to December 2021. Firstly, we designed an experimental water tank(10 cm×10 cm×10 cm) that can carry out constant temperature water bath, with a 8ml simulated renal pelvis, and can carry out constant velocity perfusion in the simulated renal pelvis. A 1 cm×1 cm×1 cm cubic artificial stone was placed in the simulated renal pelvis to perform 36.5℃-37.5 ℃ water bath. The simulated renal pelvis was closed with an oak plug, the temperature measuring probe and flexible ureteroscope were placed through the hole on the oak plug and entered into the simulated renal pelvis. Flexible ureteroscope was carried out by urologists. The lithotripsy lasted a total of 180 seconds for thulium and holmium laser respectively under different parameter settings (10 Hz×1.0 J, 10 Hz×2.0 J, 10 Hz×3.0 J, 20 Hz×0.5 J, 20 Hz×1.0 J, 20 Hz×1.5 J, the corresponding gravel power is 10 W, 20 W and 30 W respectively), the constant speed water pump flow rate was separate as the high flow rate group (35 ml/min) and low flow rate group (15ml/min), and leave a temperature probe 5mm around the optical fiber. Water temperature change during the lithotripsy was recorded by probes, the average of 10 temperature values of two probes measured every 5 seconds was taken as the water temperature value of this period, with a total of 216 time points in 6 parameter settings. Under the same parameter settings, the temperature of two lasers at each time point was plotted and compared to form the corresponding temperature rise curve. The average temperature in the last 30 seconds during lithotripsy in the record was used as the steady-state temperature, which of thulium and holmium laser lithotripsy was compared under the same parameter setting and the same water flow velocity. Finally, 43℃ was taken as the safety threshold temperature to evaluate whether the temperature of the two lasers during lithotripsy exceeds the safety threshold.Results:According to the temperature rise curve, the water temperature of thulium laser during lithotripsy was higher than that of holmium laser at 77.7% (168/216)of time points. At the flow rate of 15 ml/min, thulium laser was significantly higher than that of holmium laser at 10 Hz×1.0 J[(32.43±2.19℃)vs. (30.99±0.90)℃, P<0.01], 10 Hz×2.0 J[(41.21±3.30℃) vs. (38.13±1.26)℃, P<0.01], 10 Hz×3.0 J[(49.54±2.44)℃vs. (44.91±0.65)℃, P<0.01], 20 Hz×0.5 J[(32.75±1.41)℃vs. (30.84±1.16)℃, P<0.01], 20 Hz×1.0 J[(41.67±1.76)℃vs. (37.51±1.25)℃, P<0.01], 20 Hz×1.5 J [(47.54 ± 3.48)℃vs. (46.12±1.04)℃, P<0.01]. At the flow rate of 35 ml/min, the thulium laser was significantly higher than that of holmium laser at 10 Hz×1.0 J[(28.01±0.57)℃ vs. (26.84±0.97)℃, P<0.01], 10 Hz×2.0 J[(31.31±1.07)℃vs.(30.41±1.39)℃, P<0.01], 10 Hz×3.0 J[(33.29±0.70)℃vs.(32.25±2.55)℃, P<0.01], 20 Hz×0.5 J[(28.36±0.99)℃vs.(26.22±0.66)℃, P<0.01], 20 Hz×1.0 J [(30.80±2.06)℃vs.(30.08±0.78)℃, P=0.012], and the steady-state temperature was not significant different between two laser at 20 Hz×1.5 J [(34.54±3.08)℃ and(33.93±1.49)℃, P=0.163]. In the low flow rate group, thulium laser at 10 Hz×1.0 J, 10 Hz×2.0 J, 20 Hz×0.5 J and 20 Hz×1.0 J does not exceed the safety threshold temperature, while in the high flow rate group, any combination of laser parameters of the two lasers does not exceed the safety threshold temperature. Conclusion:Under the same laser parameter setting and flow rate, the thermal eff of thulium laser is more obvious. When using thulium laser for lithotripsy, the flow rate in the process of lithotripsy being faster than that of holmium laser with the same laser setting should be ensured to avoid tissue damage.

An in vitro study of temperature variation of super-pulsed thulium fiber laser in ureter / 现代泌尿外科杂志

【Objective】 The thermal effects of super-pulsed thulium fiber laser (TFL) at different powers,lithotripsy modes and irrigation rates were studied using a 3D kidney model to simulate ureteral lithotripsy in vivo. 【Methods】 A thermal effect model was established in vitro. Under the same conditions of laboratory temperature and equipment,the temperature around the optical fiber was measured and compared when different optical fiber diameters,powers,lithotripsy modes and irrigation rates were used to simulate lithotripsy by TFL. 【Results】 There was significant difference in the temperature around the optical fiber caused by two fibers with different diameters under the same conditions (P<0.05). Under the same conditions,different lithotripsic modes produced different temperatures,and the temperature of "high energy and low frequency" was lower than that of "low energy and high frequency" (P<0.05). When the power was 10 W and the minimum irrigation rate was 10 mL/min,the plateau temperature did not reach the safety threshold (43 ℃). When the power was 20 W and the minimum irrigation rate was 10 mL/min,the platform temperature exceeded the safety threshold. When the irrigation rate was 20 mL/min,the platform temperature did not reach the safety threshold. 【Conclusion】 In the study of ureteral lithotripsy in vitro,the power,mode,irrigation rate and optical fiber diameter are factors affecting the thermal effects of TFL. No matter what kind of lithotripsy mode and fiber diameter,the temperature around the fiber is safe when the lithotripsy power is ≤10 W and the irrigation rate is ≥10 mL/min;when the lithotripsy power is ≤20 W and the irrigation rate is ≥20 mL/min,the temperature around the fiber is safe.

The progress of preoperative and intraoperative urinary calculi analysis / 中华泌尿外科杂志

The incidence and recurrence rates of urinary stone diseases have remained high recently, and stone analysis is of great significance for further understanding of the pathophysiological processes of urinary stones and to develop effective prevention strategies and precise treatment. Imaging evaluation is the main method of preoperative stone analysis, and dual-energy CT has shown its potential in identifying common main components of stones. The emergence of photon counting spectral CT is expected to achieve accurate analysis of stone components at the pixel level. The intraoperative stone analysis mainly relies on the automatic recognition of endoscopic images, and using machine learning algorithms can more reliably predict common stone composition. It is of great significance for stone analysis and assessment of metabolic causes by introducing morpho-constitutional classification (MCC)and observing and describing the papillary renal lesions during operation. This article reviews the progress of preoperative and intraoperative stone analysis, in order to improve clinicians' understanding of the importance of stone analysis, and provide a direction for further clinical research.

The feasibility and safety of ultrasound-guided needle-perc assisted retrograde intrarenal surgery in the treatment of small but complex renal calculi / 中华泌尿外科杂志

Objective:To analyze the safety and efficacy of ultrasound-guided needle-perc assisted retrograde intrarenal surgery (RIRS) in the treatment of small but complex renal calculi, and summarize our clinical experience.Methods:The clinical data of 36 patients with small but complicated renal stones treated by ultrasound-guided needle-perc assisted RIRS in Beijing Tsinghua Changgung Hospital from January 2020 to April 2022, were retrospectively analyzed. There were 25 males and 11 females. The average age was (54.7±6.1) years, and the body mass index (BMI) was (26.3±3.1) kg/m 2. The maximum diameter of the calculi was (1.8±0.7) cm. There were 28 patients without renal hydronephrosis before operation, 8 patients with mild to moderate renal hydronephrosis, 4 patients with caliceal diverticular stones, 32 patients with lower pole stones, 10 patients with ureteral stones, 6 patients with previous surgical history of ipsilateral kidney stones, and 3 patients with stones in the solitary kidneys. Patients were placed in oblique supine lithotomy position or prone split leg position (female). For lower pole stones or diverticular stones that were difficult to be handled by flexible ureteroscope, the needle-perc was used to puncture the stones in target calyx under ultrasound guidance. Holmium laser was then used to pulverize or fragment the calculi, and the flexible ureteroscope was used to remove or further pulverize the stone fragments. Perioperative indexes and postoperative complications were recorded, and stone-free rate was analyzed. Results:All 36 cases were successfully operated. The median operation time was 61.5(59.0, 66.8)min, with a median decrease in hemoglobin on the first postoperative day of 1.6(0.8, 2.0)g/ L, a median postoperative hospital stay of 1.5(1.0, 2.0)days, and a median needle-perc tract of 1(1, 2). The complications were recorded in 4 patients (11.1%), all of which were Clavien-Dindo grade I, including postoperative fever in 2 patients and analgesic use in 2 patients. The primary stone-free rate was 83.3% (30/36). The 6 patients with residual stones were treated by external physical vibration lithecbole on the 3rd to 7th day after surgery. After 1 month follow-up, residual stone expulsion were seen in 3 patients. Three patients with residual stones were followed up regularly. The final stone-free rate was 91.7% (33/36).Conclusions:Ultrasound-guided needle-per assisted RIRS is safe and effective in the treatment of small but complex renal calculi, with high postoperative stone free rate and low complication rate.

The chemical constituents and hypoglycemic activity of alcoholic extract of sea buckthorn leaves / 药学学报

The purpose of this research is to identify the chemical constituents of sea buckthorn leaves extract (SBLE) and explore its hypoglycemic biological activity. SBLE was prepared by hot reflux extraction with 65% ethanol, and its chemical composition was analyzed by ultra-high-performance liquid chromatography-photodiode array-mass spectrometry/mass spectrometry (UHPLC-PDA-MS/MS) system. The animal experiments were compliant with ethical principles for animal use and had been approved by the Animal Experiment Ethics Committee of Jinan University. Mice were injected with streptozocin (STZ) to establish a hyperglycemic animal model, and SBLE (1.5 g·kg-1) was administered by gavage for 5 weeks. The fasting blood glucose (FBG) and oral glucose tolerance were detected. Normal mice were given SBLE (1.5 g·kg-1) by intragastric administration for 10 days, and blood was collected from the tail vein to detect the changes in blood glucose within 120 min after sucrose or starch loading. The mucous membrane of the small intestine of mice was taken to detect the activity of α-glucosidase (AG), and the activity of yeast-derived AG incubated with SBLE was evaluated. The glucose uptake by Caco-2 cells treated with SBLE was detected by fluorescence microscopy and cytometry, and the gene expression of sodium-dependent glucose transporter 1 (SGLT1) and glucose transporter 2 (GLUT2) in Caco-2 cells were detected by real-time quantitative PCR (qPCR). A total of 18 compounds were identified, mainly including tannins and flavonoids. SBLE reduced FBG and increased oral glucose tolerance in STZ hyperglycemic mice. SBLE effectively inhibited the increase of blood glucose caused by starch intake in normal mice. SBLE exerted good inhibitory activity on yeast-derived AG (IC50 = 16.94 μg·mL-1) and small intestinal mucosa AG with an inhibition rate of 15.48%. SBLE (25-100 μg·mL-1) dose-dependently inhibited glucose uptake by Caco-2 cells, and SBLE significantly reduced the mRNA level of SGLT1 without changing the expression of GLUT2. In conclusion, the UHPLC characteristic fingerprint of SBLE is established with 18 chemical components identified by mass spectrometry, and SBLE exerts hypoglycemic effect by inhibiting the activity of AG and the absorption of glucose by intestinal epithelial cells.

Pre-operative prognostic nutritional index as a predictive factor for prognosis in non-metastatic renal cell carcinoma treated with surgery / 北京大学学报(医学版)

OBJECTIVE@#To evaluate the implications of the prognostic nutrition index (PNI) in non-metastatic renal cell carcinoma (RCC) patients treated with surgery and to compare it with other hematological biomarkers, including neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and systemic immune inflammation index (SII).@*METHODS@#A cohort of 328 non-metastatic RCC patients who received surgical treatment between 2010 and 2012 at Peking University First Hospital was analyzed retrospectively. Receiver operating characteristic (ROC) curve analysis was used to determine the optimal cutoff values of the hematological biomarkers. The Youden index was maximum for PNI was value of 47.3. So we divided the patients into two groups (PNI≤ 47. 3 and >47. 3) for further analysis. Categorical variables [age, gender, body mass index (BMI), surgery type, histological subtype, necrosis, pathological T stage and tumor grade] were compared using the Chi-square test and Student' s t test. The association of the biomarkers with overall survival (OS) and disease-free survival (DFS) was analyzed using Kaplan-Meier methods with log-rank test, followed by multivariate Cox proportional hazards model.@*RESULTS@#According to the maximum Youden index of ROC curve, the best cut-off value of PNI is 47. 3. Low level of PNI was significantly associated with older age, lower BMI and higher tumor pathological T stage (P < 0.05). Kaplan-Meier univariate analysis showed that lower PNI was significantly correlated with poor OS and DFS (P < 0.05). In addition, older age, lower BMI, tumor necrosis, higher tumor pathological T stage and Fuhrman grade were significantly correlated with poor OS (P < 0.05). Cox multivariate analysis showed that among the four hematological indexes, only PNI was an independent factor significantly associated with OS, whether as a continuous variable (HR=0.9, 95%CI=0.828-0.978, P=0.013) or a classified variable (HR=2.397, 95%CI=1.061-5.418, P=0.036).@*CONCLUSION@#Low PNI was a significant predictor for advanced pathological T stage, decreased OS, or DFS in non-metastatic RCC patients treated with surgery. In addition, PNI was superior to the other hematological biomar-kers as a useful tool for predicting prognosis of RCC in our study. It should be externally validated in future research before the PNI can be used widely as a predictor of RCC patients undergoing nephrectomy.

High-Order Harmonic Film Bulk Acoustic Resonator Based on a Polymer Reflector.

A film bulk acoustic resonator (FBAR), based on a polymer air cavity, is presented. The polymer reflective layer on the polymer air cavity can serve both as the reflective layer and the function layer for inducing the high-order mode resonance. With the aluminum nitride as the piezoelectric layer, the resonance frequency of the FBAR can reach 6.360 GHz, based on the finite element method. The product of the corresponding frequency and the quality factor, f × Q is more than 2 × 1013. This design model provides a good solution for the high-frequency filters and high-sensitivity sensor designs.

High-Frequency Surface Acoustic Wave Resonator with Diamond/AlN/IDT/AlN/Diamond Multilayer Structure.

A high-frequency surface acoustic wave (SAW) resonator, based on sandwiched interdigital transducer (IDT), is presented. The resonator has the structure of diamond/AlN/IDT/AlN/diamond, with Si as the substrate. The results show that its phase velocity and electromechanical coupling coefficient are both significantly improved, compared with that of the traditional interdigital transduce-free surface structure. The M2 mode of the sandwiched structure can excite an operation frequency up to 6.15 GHz, with an electromechanical coupling coefficient of 5.53%, phase velocity of 12,470 m/s, and temperature coefficient of frequency of -6.3 ppm/°C. This structure provides a new ideal for the design of high-performance and high-frequency SAW devices.

Economic Burden Conferred by Population-Level Cancer Screening on Resource-Limited Communities: Lessons From the ESECC Trial.

Objectives: Upper gastrointestinal (G.I.) cancer screening has been conducted in China for decades. However, the economic burden for treatment "intensively" occurred in advance due to screening in resource-limited communities remain unclear. Methods: We compared the treatment costs for upper G.I. cancers from the screening and control arms of a population-based randomized trial in a high-risk area for esophageal cancer (EC) in China based on claims data from the health insurance system in the local area which included whole population coverage. Results: The average out-of-pocket cost per treatment of EC in the screening arm was lower than that in the control arm ($5,972 vs. $7,557). This difference was a consequence of down-staging from screening which resulted in lower cost therapy for earlier stage cancers. Moreover, this result is similar for cardial and non-cardial gastric cancer in the two study arms ($7,933 vs. $10,605). However, three times as many (103 vs. 36) families in the screening arm suffered catastrophic health expenditure for all cancer types. The overall treatment cost for all EC patients in the screening arm ($1,045,119) was 2.44 times that in the control arm ($428,292), and the ratio for cardial and non-cardial gastric cancer was 1.12 ($393,261 vs. $351,557). Conclusion: Cancer treatment secondary to screening may triple the likelihood of catastrophic patient medical expenditure, and sharply increase the economic pressure on the local community, particularly for cancer types which are of high prevalence. Financial support for patients and the health insurance system should be taken into consideration when planning budgets for cancer screening programs in communities which are resource-limited.