Imaging and Pathological Features of Percutaneous Cryosurgery on Normal Lung Evaluated in a Porcine Model

Background and objective Lung cancer is one of the most commonly occurring malignancies and frequent causes of death in the world. Cryoablation is a safe and alternative treatment for unresectable lung cancer. Due to the lung being gas-containing organ and different from solid organs such as liver and pancreas, it is difficult to achieve the freezing range of beyond the tumor edge 1 cm safety border. The aim of this study is to examine the effect of different numbers of freeze cycles on the effectiveness of cryoablation on normal lung tissue and to create an operation guideline that gives the best effect. Methods Six healthy Tibetan miniature pigs were given a CT scan and histological investigation after percutaneous cryosurgery. Cryoablation was performed as 2 cycles of 10 min of active freezing in the left lung; each freeze followed by a 5 min thaw. In the right lung, we performed the same 2 cycles of 5 min of freezing followed by 5 min of thawing. However, for the right lung, we included a third cycle of consisting of 10 min of freezing followed by 5 min of thawing. Three cryoprobes were inserted into the left lung and three cryoprobes in the right lung per animal, one in the upper and two in the lower lobe, so as to be well away from each other. Comparison under the same experimental condition was necessary. During the experiment, observations were made regarding the imaging change of ice-ball. The lungs were removed postoperatively at 3 intervals: 4 h, 3 d of postoperation and 7 d of postoperation, respectively, to view microscopic and pathological change. Results The ice-ball grew gradually in relation to the increase in time, and the increase in number of cycles. The size of the cryolesion (hypothesis necrotic area) in specimens, over time, became larger in size than the size of the ice-ball during operation, regardless of whether 2 or 3 freeze-thaw cycles were performed. The area of necrosis was gradually increased over the course of time. The hypothesis necrotic area was equal to necrosis area 3 d after cryosurgery. Conclusion Percutaneous cryoablation of the lung can achieve complete ablation of target tissue. The freezing technique may be different depending on the individual circumstances of each tumor. In technology, 3 freeze-thaw cycles are recommended, and the range of cryoablation’s effective diameter may be not necessarily beyond the tumor edge at least 1 cm safe border during cryosurgery

Neutrino Physics with JUNO

The Jiangmen Underground Neutrino Observatory (JUNO), a 20 kton multi-purposeunderground liquid scintillator detector, was proposed with the determinationof the neutrino mass hierarchy as a primary physics goal. It is also capable ofobserving neutrinos from terrestrial and extra-terrestrial sources, includingsupernova burst neutrinos, diffuse supernova neutrino background, geoneutrinos,atmospheric neutrinos, solar neutrinos, as well as exotic searches such asnucleon decays, dark matter, sterile neutrinos, etc. We present the physicsmotivations and the anticipated performance of the JUNO detector for variousproposed measurements. By detecting reactor antineutrinos from two power plantsat 53-km distance, JUNO will determine the neutrino mass hierarchy at a 3-4sigma significance with six years of running. The measurement of antineutrinospectrum will also lead to the precise determination of three out of the sixoscillation parameters to an accuracy of better than 1\%. Neutrino burst from atypical core-collapse supernova at 10 kpc would lead to ~5000inverse-beta-decay events and ~2000 all-flavor neutrino-proton elasticscattering events in JUNO. Detection of DSNB would provide valuable informationon the cosmic star-formation rate and the average core-collapsed neutrinoenergy spectrum. Geo-neutrinos can be detected in JUNO with a rate of ~400events per year, significantly improving the statistics of existing geoneutrinosamples. The JUNO detector is sensitive to several exotic searches, e.g. protondecay via the $p\to K^++\bar\nu$ decay channel. The JUNO detector will providea unique facility to address many outstanding crucial questions in particle andastrophysics. It holds the great potential for further advancing our quest tounderstanding the fundamental properties of neutrinos, one of the buildingblocks of our Universe

Potential of Core-Collapse Supernova Neutrino Detection at JUNO

JUNO is an underground neutrino observatory under construction in Jiangmen, China. It uses 20kton liquid scintillator as target, which enables it to detect supernova burst neutrinos of a large statistics for the next galactic core-collapse supernova (CCSN) and also pre-supernova neutrinos from the nearby CCSN progenitors. All flavors of supernova burst neutrinos can be detected by JUNO via several interaction channels, including inverse beta decay, elastic scattering on electron and proton, interactions on C12 nuclei, etc. This retains the possibility for JUNO to reconstruct the energy spectra of supernova burst neutrinos of all flavors. The real time monitoring systems based on FPGA and DAQ are under development in JUNO, which allow prompt alert and trigger-less data acquisition of CCSN events. The alert performances of both monitoring systems have been thoroughly studied using simulations. Moreover, once a CCSN is tagged, the system can give fast characterizations, such as directionality and light curve

Detection of the Diffuse Supernova Neutrino Background with JUNO

As an underground multi-purpose neutrino detector with 20 kton liquid scintillator, Jiangmen Underground Neutrino Observatory (JUNO) is competitive with and complementary to the water-Cherenkov detectors on the search for the diffuse supernova neutrino background (DSNB). Typical supernova models predict 2-4 events per year within the optimal observation window in the JUNO detector. The dominant background is from the neutral-current (NC) interaction of atmospheric neutrinos with 12C nuclei, which surpasses the DSNB by more than one order of magnitude. We evaluated the systematic uncertainty of NC background from the spread of a variety of data-driven models and further developed a method to determine NC background within 15\% with {\it{in}} {\it{situ}} measurements after ten years of running. Besides, the NC-like backgrounds can be effectively suppressed by the intrinsic pulse-shape discrimination (PSD) capabilities of liquid scintillators. In this talk, I will present in detail the improvements on NC background uncertainty evaluation, PSD discriminator development, and finally, the potential of DSNB sensitivity in JUNO

Real-time Monitoring for the Next Core-Collapse Supernova in JUNO

Core-collapse supernova (CCSN) is one of the most energetic astrophysical events in the Universe. The early and prompt detection of neutrinos before (pre-SN) and during the SN burst is a unique opportunity to realize the multi-messenger observation of the CCSN events. In this work, we describe the monitoring concept and present the sensitivity of the system to the pre-SN and SN neutrinos at the Jiangmen Underground Neutrino Observatory (JUNO), which is a 20 kton liquid scintillator detector under construction in South China. The real-time monitoring system is designed with both the prompt monitors on the electronic board and online monitors at the data acquisition stage, in order to ensure both the alert speed and alert coverage of progenitor stars. By assuming a false alert rate of 1 per year, this monitoring system can be sensitive to the pre-SN neutrinos up to the distance of about 1.6 (0.9) kpc and SN neutrinos up to about 370 (360) kpc for a progenitor mass of 30$M_{\odot}$ for the case of normal (inverted) mass ordering. The pointing ability of the CCSN is evaluated by using the accumulated event anisotropy of the inverse beta decay interactions from pre-SN or SN neutrinos, which, along with the early alert, can play important roles for the followup multi-messenger observations of the next Galactic or nearby extragalactic CCSN.Comment: 24 pages, 9 figure

Development and Field Pilot Test of a Novel Viscoelastic Anionic-Surfactant (VAS) Fracturing Fluid

A novel fracturing fluid called VAS (anionic surfactant type) has been successfully developed and applied in both oil and gas wells in China. VAS can not only minimize matrix damage caused by modifying the rock surface charge and lowering water-sensitive and water-lock. This paper presents the stimulation mechanisms of the novel VAS fracturing fluid. Field demonstrations indicate that, for the wells using the VAS fracturing fluid, the production increased remarkably and stabilized longer than the wells using water-based Guar gum fracturing fluid. Averagely, the production for the wells using this VAS fracturing fluid increased by 120% compared with the wells using acidic fracturing fluid and increased by 89% compared with the wells using ethyloic fracturing fluid

Nephronectin is a prognostic biomarker and promotes gastric cancer cell proliferation, migration and invasion

Gastric cancer (GC) is a malignant disease with high incidence and mortality rates worldwide. Nephronectin (NPNT) was found to be dysregulated in some kinds of cancer. The goal of our study was to explore the expression profile of NPNT based on large numbers of GC samples with detailed clinico- pathological and prognostic data from our institution and the data from a public database. A total of 117 GC samples and 73 corresponding non-tumorous adjacent tissues (NATs) were obtained from GC patients and used to detect expression of NPNT through immunohisto- chemistry. Western blot and qRT-PCR were performed to examine expression of NPNT in GC cell lines. Our results found that the positive expression ratio of NPNT in GC tissues is significantly higher than that in NATs (p<0.001). Chi-squared analysis results showed positive expression ratio of NPNT was significantly associated with depth of tumor invasion (p=0.049) and TNM stage (p=0.017). Kaplan-Meier survival and cox analysis results showed that patients with positive NPNT protein expression tend to have poorer prognosis than those with negative NPNT expression (p=0.0032) and NPNT expression was independent prognostic factor. High expression level was seen in GC cell lines. Furthermore, through a series of cancer cell proliferation, invasion and migration associated experiments, we found that NPNT could evidently promote GC cell proliferation, invasion and migration, as well as epithelial-mesenthymal transition. In summary, NPNT was evidently overexpressed in GC and had an oncogenic role. In the future, NPNT could serve as a promising therapeutic target for treating GC patients

Cancer detection for small-size and ambiguous tumors based on semantic FPN and transformer.

Early detection of tumors has great significance for formative detection and determination of treatment plans. However, cancer detection remains a challenging task due to the interference of diseased tissue, the diversity of mass scales, and the ambiguity of tumor boundaries. It is difficult to extract the features of small-sized tumors and tumor boundaries, so semantic information of high-level feature maps is needed to enrich the regional features and local attention features of tumors. To solve the problems of small tumor objects and lack of contextual features, this paper proposes a novel Semantic Pyramid Network with a Transformer Self-attention, named SPN-TS, for tumor detection. Specifically, the paper first designs a new Feature Pyramid Network in the feature extraction stage. It changes the traditional cross-layer connection scheme and focuses on enriching the features of small-sized tumor regions. Then, we introduce the transformer attention mechanism into the framework to learn the local feature of tumor boundaries. Extensive experimental evaluations were performed on the publicly available CBIS-DDSM dataset, which is a Curated Breast Imaging Subset of the Digital Database for Screening Mammography. The proposed method achieved better performance in these models, achieving 93.26% sensitivity, 95.26% specificity, 96.78% accuracy, and 87.27% Matthews Correlation Coefficient (MCC) value, respectively. The method can achieve the best detection performance by effectively solving the difficulties of small objects and boundaries ambiguity. The algorithm can further promote the detection of other diseases in the future, and also provide algorithmic references for the general object detection field

A new approach to interpreting the parabolic and non-parabolic oxidation behaviour of hot-pressed beta-SiAlON ceramics

The oxidation behaviour of hot-pressed β-SiAlON ceramics with different densities has been investigated up to 1853. K in air using thermogravimetry (TG). The microstructures of the oxidised samples were determined by scanning electron microscopy (SEM), and the phases after oxidation were confirmed by X-ray diffraction (XRD). The oxidation kinetics of the higher density sample was diffusion controlled. For the lower density sample, it was controlled by both an interface reaction and diffusion in the early stage but diffusion controlled after a certain time. The oxidation curves can be well described by Chou's model with the "characteristic oxidation time" index introduced

Characteristics of Paleogene compression-extension deformation and exploration significance in the Baiyun East area, Pearl River Mouth Basin

The Baiyun East area is one of the two favorable reservoir-forming areas in the Baiyun Sag in the Pearl River Mouth Basin. At present, exploration is facing the stage of turning to the deep strata of the Paleogene. In recent years, drilling has found that the sandstone in the deep gentle slope zone becomes less abundant, which contradicts the development model of extensional half-graben reservoirs. Based on the comprehensive interpretation of deep reprocessing 3-D seismic data and drilling data, a full 3-D structural analysis of the Paleogene and subbasement detachment surface in the Baiyun East area is carried out. The basin evolution stages are reclassified according to the dynamic mechanism. The tectonic sequence has been modified from a passive rift cycle to three cycles of passive rift-active rift-passive rift.The tectonic episode is subdivided into six curtains from three stage cycles: fault episode-fault depression conversion episode-depression episode is subdivided into rift two subepisodes-fold two subepisodes-rift shrinking episode-drift episode, and the subdivision scheme better reflects the law of strata deformation.A new model of compression-extension deformation of the Paleogene basin has been established in the eastern Baiyun area. In the development process of the extensional structure, the new model coordinates the Paleogene structure-sedimentary response of the eastern Baiyun area. This model enriches the evolutionary model of the South China Sea Basin and provides support for the exploration of new deep areas in the Baiyun Sag