CompenHR: Efficient Full Compensation for High-resolution Projector

Full projector compensation is a practical task of projector-camera systems. It aims to find a projector input image, named compensation image, such that when projected it cancels the geometric and photometric distortions due to the physical environment and hardware. State-of-the-art methods use deep learning to address this problem and show promising performance for low-resolution setups. However, directly applying deep learning to high-resolution setups is impractical due to the long training time and high memory cost. To address this issue, this paper proposes a practical full compensation solution. Firstly, we design an attention-based grid refinement network to improve geometric correction quality. Secondly, we integrate a novel sampling scheme into an end-to-end compensation network to alleviate computation and introduce attention blocks to preserve key features. Finally, we construct a benchmark dataset for high-resolution projector full compensation. In experiments, our method demonstrates clear advantages in both efficiency and quality

Povezanost negativne energetske bilance (NEB) s energetskim metabolizmom, proizvodnjom mlijeka i reprodukcijskom sposobnošću mliječnih krava tijekom rane laktacije u pokrajini Heilongjiang, Kina

Negative energy balance (NEB) causes economic losses to dairy farms around the globe. The aim of this study was to investigate the effect of NEB on energy metabolism, reproduction, etc. during early lactation in dairy cows on intensive farms in Heilongjiang, China. According to β-hydroxybutyric acid (BHBA), glucose (GLU), Non-esterified fatty acid (NEFA) levels, and clinical manifestations 14-21 days postpartum, 118 cows were divided into a positive energy balance (PEB) group (BHBA2.8, NEFA1.2, GLU0.7 mmol/L, n=51). These indicators were analyzed by cross-sectional research methods combined with Pearson correlation analysis and a prospective cohort study. The results showed that at 14-21 days postpartum, compared with the PEB, the body condition score, body condition loss (BCL), milk urea nitrogen, BHBA, NEFA, the interval from calving to first estrus (ICFE), pregnancy per artificial insemination (P/AI), and calving interval were higher (P2,8, NEFA1,2, GLU0,7 mmol/L; n=51). Navedeni pokazatelji analizirani su kombinacijom metoda presječnog istraživanja, Pearson-ovog koeficijenta korelacije i prospektivnog kohortnog istraživanja. Rezultati su pokazali da je 14-21 dan nakon porođaja skupina NEB u usporedbi sa skupinom PEB imala višu ocjenu tjelesne kondicije, veći gubitak tjelesne kondicije (BCL), te veće vrijednosti za dušik iz ureje mlijeka, BHBA, NEFA, interval od teljenja do prvog estrusa (ICFE), graviditete po umjetnoj oplodnji (P/AI) i interval između teljenja (P<0,05), a niže vrijednosti zadnevnu proizvodnju mlijeka (DL), mliječni protein, GLU, stopu pojave estrusa i stopu koncepcije. Gubitak tjelesne kondicije (BCL) je bio pozitivno povezan s ICFE i P/AI (P<0,05) i negativno povezan sa stopom pojave estrusa te stopom koncepcije (P<0,05). Dnevna proizvodnja mlijeka (DL) pokazala je negativnu povezanost s P/AI (P<0,05). Uočena je pozitivna povezanost NEB-a i anestrusa (2M-H = 12,63, P = 0,0004), a rizik od anestrusa uzrokovanih NEB povećan je 3,67 puta u odnosu na PEB. Zaključci su pokazali da je NEB usko povezan s BCL, što je čimbenik koji utječe na snižavanje proizvodnje mlijeka i reprodukciju mliječnih krava. Osim toga, NEB se pokazao i kao čimbenik rizika za anestrus u mliječnih krava

Integrated Bioinformatics Analysis the Function of RNA Binding Proteins (RBPs) and Their Prognostic Value in Breast Cancer

Background and Purpose: Breast cancer is one of the leading causes of death among women. RNA binding proteins (RBPs) play a vital role in the progression of many cancers. Functional investigation of RBPs may contribute to elucidating the mechanisms underlying tumor initiation, progression, and invasion, therefore providing novel insights into future diagnosis, treatment, and prognosis.Methods: We downloaded RNA sequencing data from the cancer genome atlas (TCGA) by UCSC Xena and identified relevant RBPs through an integrated bioinformatics analysis. We then analyzed biological processes of differentially expressed genes (DEGs) by DAVID, and established their interaction networks and performed pathway analysis through the STRING database to uncover potential biological effects of these RBPs. We also explored the relationship between these RBPs and the prognosis of breast cancer patients.Results: In the present study, we obtained 1092 breast tumor samples and 113 normal controls. After data analysis, we identified 90 upregulated and 115 downregulated RBPs in breast cancer. GO and KEGG pathway analysis indicated that these significantly changed genes were mainly involved in RNA processing, splicing, localization and RNA silencing, DNA transposition regulation and methylation, alkylation, mitochondrial gene expression, and transcription regulation. In addition, some RBPs were related to histone H3K27 methylation, estrogen response, inflammatory mediators, and translation regulation. Our study also identified five RBPs associated with breast cancer prognosis. Survival analysis found that overexpression of DCAF13, EZR, and MRPL13 showed worse survival, but overexpression of APOBEC3C and EIF4E3 showed better survival.Conclusion: In conclusion, we identified key RBPs of breast cancer through comprehensive bioinformatics analysis. These RBPs were involved in a variety of biological and molecular pathways in breast cancer. Furthermore, we identified five RBPs as a potential prognostic biomarker of breast cancer. Our study provided novel insights to understand breast cancer at a molecular level

Future Risk of Tourism Pressures under Climate Change: A Case Study in the Three-River-Source National Park

Tourism is considered one of the main sources of pressure on the global ecosystem, which is being increasingly affected by climate change. Few studies have evaluated the spatial patterns of tourism pressure that ecosystems will suffer under the changing climate in the future. Considering the Three-River-Source National Park, China, as the study area, we applied statistical and remote sensing techniques to examine the spatial pattern of the risk of tourism pressure in 2070 and 2100 under two climate scenarios: the representative concentration pathway of radiative forcing levels of 8.5 W/m2 (RCP8.5) and RCP4.5. The results indicate that regions at high risk of tourism pressure in the study area will expand in the future. Areas with a high risk of tourism pressure in 2100 under the RCP8.5 scenario accounted for 6.75% of the entire study area, with the largest area under impact being in the Lancang-River-Source Park, accounting for 20.61% of the sub-park. The distribution density of areas with a high risk of tourism pressure in 2100 is also the highest under RCP8.5 (5.3 points/km2), and the average density of Lancang-River-Source Park will be the highest (16.58 points/km2) among the three sub-parks, suggesting that larger areas of the Three-River-Source National Park will face an increased risk of tourism pressure in the context of future climate change, with the greatest change poised to be in the Lancang-River-Source Park. Tourism pressure management strategies must be implemented in these areas with an increased risk of tourism pressure. This study provides useful insights for managing tourism pressures and improving adaptability under climate change

Impact of Climate Change on Tourism on the Qinghai-Tibetan Plateau: Research Based on a Literature Review

Irrespective of insights gained from previous studies on the impacts and adaptions associated with climate change; little consideration has been given to the effect of climate change on tourism on the Qinghai-Tibetan Plateau (QTP). Based on a conceptual framework of the impact of climate change on tourism in high-altitude regions; this paper reviews the literature pertaining to the effects of climate change on the natural characteristics of the QTP and it discusses the corresponding implications for tourism within the region. The findings show that the features of the QTP affected most by climate change comprise wetlands, glaciers, and the vegetation, wildlife, and climate resources. Accordingly, such effects could have considerable implications for related tourism activities. Climate change poses both challenges and opportunities for tourism development on the QTP. The information presented in this paper offers insight for tourism management on the QTP. Comprehensive measures involving all stakeholders should be taken to promote the sustainable development of tourism on the QTP, and to both mitigate the threats and exploit the opportunities related to climate change

The Impact of Financial Literacy on Household Health Investment: Empirical Evidence from China

Based on the 2019 China Household Finance Survey (CHFS) data, this paper used factor analysis to measure the level of financial literacy of surveyed householders and used the Probit model and the negative binomial model to test the impact of financial literacy (FL) on household health investment (HHI). The results show that: (1) FL is an essential influencing factor in increasing participation in HHI, and householders with a higher level of FL are also more willing to pay for diversified investments. (2) We split the FL level from the two dimensions of knowledge and ability. We found that the primary FL (including financial knowledge, computing ability, and correct recognition of investment product risk) plays a more critical role in the investment decision process. (3) When information sources, health knowledge, and family income are used as mediating variables, FL can influence the decisions of HHI in three ways: expanding information sources, enriching health knowledge, and alleviating income constraints. (4) By analyzing the heterogeneity of household heads in different regions and with different personal characteristics, we found that the medical level of the household location and the life and work experience of the householders played a moderating role

Secreted protein acidic and rich in cysteine (SPARC) knockout mice have greater outflow facility.

PurposeSecreted protein acidic and rich in cysteine (SPARC) is a matricellular protein that regulates intraocular pressure (IOP) by altering extracellular matrix (ECM) homeostasis within the trabecular meshwork (TM). We hypothesized that the lower IOP previously observed in SPARC -/- mice is due to a greater outflow facility.MethodsMouse outflow facility (Clive) was determined by multiple flow rate infusion, and episcleral venous pressure (Pe) was estimated by manometry. The animals were then euthanized, eliminating aqueous formation rate (Fin) and Pe. The C value was determined again (Cdead) while Fin was reduced to zero. Additional mice were euthanized for immunohistochemistry to analyze ECM components of the TM.ResultsThe Clive and Cdead of SPARC -/- mice were 0.014 ± 0.002 μL/min/mmHg and 0.015 ± 0.002 μL/min/mmHg, respectively (p = 0.376, N/S). Compared to the Clive = 0.010 ± 0.002 μL/min/mmHg and Cdead = 0.011 ± 0.002 μL/min/mmHg in the WT mice (p = 0.548, N/S), the Clive and Cdead values for the SPARC -/- mice were higher. Pe values were estimated to be 8.0 ± 0.2 mmHg and 8.3 ± 0.7 mmHg in SPARC -/- and WT mice, respectively (p = 0.304, N/S). Uveoscleral outflow (Fu) was 0.019 ± 0.007 μL/min and 0.022 ± 0.006 μL/min for SPARC -/- and WT mice, respectively (p = 0.561, N/S). Fin was 0.114 ± 0.002 μL/min and 0.120 ± 0.016 μL/min for SPARC -/- and WT mice (p = 0.591, N/S). Immunohistochemistry demonstrated decreases of collagen types IV and VI, fibronectin, laminin, PAI-1, and tenascin-C within the TM of SPARC -/- mice (p ConclusionsThe lower IOP of SPARC -/- mice is due to greater aqueous humor outflow facility through the conventional pathway. Corresponding changes in several matricellular proteins and ECM structural components were noted in the TM of SPARC -/- mice