A Brief Talk of the Disinfection Process for Reclaimed Water

In recent years, with the reclaimed water being more and more widely used, people begin to pay more and more attention to the security of it. Because the reclaimed water comes from the sewage, which has been deeply treated, its quality is quite complex and it may contain many bacteria, viruses and poisonous that are harm to people. When it’s reused, it is inevitable that the reclaimed water may come into contact with people’s body, which has exposure risk. In order to reduce the risk of exposure, ensure the security of the quality of the reclaimed water, the disinfection becomes the most critical factors in dealing with the reclaimed water in the process. In the paper, the current disinfection techniques were discussed and compared in the aspects of technical features, the effects of disinfection and economy. And a brief summary of the new disinfection technology that was widely studied was made

Research Progress in Preparation and Application in Intelligent and Active Packaging of Carbon Dots from Food Processing By-products

As an emerging nanoparticle, carbon dots (CDs) have been widely used in the fields of chemical sensing, biological imaging, drug delivery, photocatalyst and food detection due to its superior biocompatibility and photoluminescence. Food processing by-products come from a wide range of sources and are easy to obtain. Moreover, the surface of CDs prepared from food processing by-products is usually rich in functional groups and miscellaneous elements, imparting excellent photocatalytic, antioxidant and antibacterial properties to CDs. In recent years, CDs have been used as food packaging additives to enhance the ultraviolet (UV) shielding, mechanical, antioxidant and antibacterial properties of food packaging. In this paper, the types of food processing by-products that can be used to prepare CDs and natural polymer-based films added with CDs and the application of CDs in active and intelligent packaging are reviewed in order to provide guidance for the preparation of CDs from food processing by-products and its application in food packaging

Targeting the Transforming Growth Factor-β pathway inhibits human basal-like breast cancer metastasis

<p>Abstract</p> <p>Background</p> <p>Transforming Growth Factor β (TGF-β) plays an important role in tumor invasion and metastasis. We set out to investigate the possible clinical utility of TGF-β antagonists in a human metastatic basal-like breast cancer model. We examined the effects of two types of the TGF-β pathway antagonists (1D11, a mouse monoclonal pan-TGF-β neutralizing antibody and LY2109761, a chemical inhibitor of TGF-β type I and II receptor kinases) on sublines of basal cell-like MDA-MB-231 human breast carcinoma cells that preferentially metastasize to lungs (4175TR, 4173) or bones (SCP2TR, SCP25TR, 2860TR, 3847TR).</p> <p>Results</p> <p>Both 1D11 and LY2109761 effectively blocked TGF-β-induced phosphorylation of receptor-associated Smads in all MDA-MB-231 subclones <it>in vitro</it>. Moreover, both antagonists inhibited TGF-β stimulated <it>in vitro </it>migration and invasiveness of MDA-MB-231 subclones, indicating that these processes are partly driven by TGF-β. In addition, both antagonists significantly reduced the metastatic burden to either lungs or bones <it>in vivo</it>, seemingly independently of intrinsic differences between the individual tumor cell clones. Besides inhibiting metastasis in a tumor cell autonomous manner, the TGF-β antagonists inhibited angiogenesis associated with lung metastases and osteoclast number and activity associated with lytic bone metastases. In aggregate, these studies support the notion that TGF-β plays an important role in both bone-and lung metastases of basal-like breast cancer, and that inhibiting TGF-β signaling results in a therapeutic effect independently of the tissue-tropism of the metastatic cells. Targeting the TGF-β pathway holds promise as a novel therapeutic approach for metastatic basal-like breast cancer.</p> <p>Conclusions</p> <p>In aggregate, these studies support the notion that TGF-β plays an important role in both bone-and lung metastases of basal-like breast cancer, and that inhibiting TGF-β signaling results in a therapeutic effect independently of the tissue-tropism of the metastatic cells. Targeting the TGF-β pathway holds promise as a novel therapeutic approach for metastatic basal-like breast cancer.</p

The Ninth Visual Object Tracking VOT2021 Challenge Results

acceptedVersionPeer reviewe

A Brief Talk of the Disinfection Process for Reclaimed Water

In recent years, with the reclaimed water being more and more widely used, people begin to pay more and more attention to the security of it. Because the reclaimed water comes from the sewage, which has been deeply treated, its quality is quite complex and it may contain many bacteria, viruses and poisonous that are harm to people. When it’s reused, it is inevitable that the reclaimed water may come into contact with people’s body, which has exposure risk. In order to reduce the risk of exposure, ensure the security of the quality of the reclaimed water, the disinfection becomes the most critical factors in dealing with the reclaimed water in the process. In the paper, the current disinfection techniques were discussed and compared in the aspects of technical features, the effects of disinfection and economy. And a brief summary of the new disinfection technology that was widely studied was made

Spatial–Temporal Evolution Patterns and Regulatory Strategies for Land Resource Carrying Capacity of China’s Major Grain-Producing Areas

Research on land resource carrying capacity (LRCC) focuses on the population that regional land resources can support as well as the grain output they can deliver. China’s major grain-producing areas consist of 13 provinces, and the grain produced in these areas makes up 75% of the country’s gross grain output. To boost the land carrying capacity of major grain-producing areas and to ensure national food security, it is crucial to examine the spatial–temporal evolution patterns of LRCC and to devise optimal regulatory strategies. From the perspective of human–grain relationships, this paper looks into the evolutionary features of the spatial–temporal patterns of the LRCC of China’s major grain-producing areas based on a land resource carrying capacity model, a land resource carrying capacity index model, and a land resource limitation model. We obtain three main results: (1) On the temporal scale, the land resource carrying capacity index (LRCCI) of China’s major grain-producing areas as a whole tapered off over a period from 1980 to 2020, whereas the overall LRCC increased in this period, indicating that the human–grain relationship in China’s major grain-producing areas is improving. (2) On a spatial scale, China’s major grain-producing areas ranked by LRCC from the greatest to the lowest, in 2020, were North China, the middle and lower reaches of the Yangtze River, Northeast China, and other regions. In terms of the carrying state of land resources, provinces with grain surpluses significantly rose during 1980–2020, the growth of LRCC of the aforementioned four major regions markedly slowed down in 2015–2020, and a large gap exists in LRCCI between the 13 provinces, revealing an unbalanced, insufficient development of LRCC in each province. (3) From 2000 to 2020, the limit of land resources on population aggregation in most major grain-producing areas was negative, and its absolute value continued to increase; this suggests that the land resources of major grain-producing provinces set small limits on population aggregation, with great potential for increasing LRCC. Taking into account the research results, this paper gives strategies for regulating the LRCC of China’s major grain-producing areas in a bid to further augment the human–grain carrying capacity of land resources in China’s major grain-producing areas and to guarantee national food security

Fabrication of multifunctional graphene decorated with bromine and nano-Sb2O3 towards high-performance polymer nanocomposites

Despite great advances, it remains highly attractive but challenging to create high-performance polymeric materials combining excellent flame-retardancy and outstanding thermal, mechanical and electrical properties. We herein demonstrate a novel strategy for fabricating a multifunctional nano-additive (Br–Sb2O3@RGO) based on graphene decorated with bromine and nano-Sb2O3. Cone calorimetric tests show that incorporating 10 wt% Br–Sb2O3@RGO into thermoplastic polyurethane (TPU) strikingly prolongs the time to ignition and decreases the peak heat release rate by 72%. Besides, tensile strength and Young's modulus are enhanced by 37% and 820%, respectively. Meanwhile, the electric conductibility is increased by eleven orders of magnitude relative to the TPU matrix. This work provides a promising strategy for addressing the critical bottleneck with the existing flame retardants that only enhance flame retardancy at the expense of mechanical properties of polymeric materials. As-prepared high-performance TPU composites are expected to find many applications, especially in aerospace, tissue engineering, and cables and wires

The controllable synthesis of urchin-shaped hierarchical superstructure MOFs with high catalytic activity and stability

A novel dissolution–crystallization-attachment strategy was developed to synthesize urchin-shaped superstructure metal–organic frameworks (MOFs) with self-assembled one-dimensional nanorods. The superstructure MOFs not only inherited the high activity of nanosized MOFs but also displayed the high stability of microsized MOFs

Differentiated Relevances Embedding for Group-based Referring Expression Comprehension

Referring expression comprehension (REC) aims to locate a certain object in an image referred by a natural language expression. For joint understanding of regions and expressions, existing REC works typically target on modeling the cross-modal relevance in each region-expression pair within each single image. In this paper, we explore a new but general REC-related problem, named Group-based REC, where the regions and expressions can come from different subject-related images (images in the same group), e.g., sets of photo albums or video frames. Different from REC, Group-based REC involves differentiated cross-modal relevances within each group and across different groups, which, however, are neglected in the existing one-line paradigm. To this end, we propose a novel relevance-guided multi-group self-paced learning schema (termed RMSL), where the within-group region-expression pairs are adaptively assigned with different priorities according to their cross-modal relevances, and the bias of the group priority is balanced via an across-group relevance constraint simultaneously. In particular, based on the visual and textual semantic features, RMSL conducts an adaptive learning cycle upon triplet ranking, where (1) the target-negative region-expression pairs with low within-group relevances are used preferentially in model training to distinguish the primary semantics of the target objects, and (2) an across-group relevance regularization is integrated into model training to balance the bias of group priority. The relevances, the pairs, and the model parameters are alternatively updated upon a unified self-paced hinge loss

In Situ-Derived N-Doped ZnO from ZIF-8 for Enhanced Ethanol Sensing in ZnO/MEMS Devices

Microelectromechanical systems (MEMS) gas sensors have numerous advantages such as compact size, low power consumption, ease of integration, etc., while encountering challenges in sensitivity and high resistance because of their low sintering temperature. This work utilizes the in situ growth of Zeolitic Imidazolate Framework-8 (ZIF-8) followed by its conversion to N-doped ZnO. The results obtained from scanning electron microscopy (SEM) and transmission electron microscopy (TEM) indicate that the in situ derivation of ZIF-8 facilitates the adhesion of ZnO particles, forming an island-like structure and significantly reducing the interfaces between these particles. Furthermore, powder X-ray diffraction (XRD) analysis, elemental mapping, and X-ray photoelectron spectroscopy (XPS) analysis confirm the conversion of ZIF-8 to ZnO, the successful incorporation of N atoms into the ZnO lattice, and the creation of more oxygen vacancies. The ZIF-8-derived N-doped ZnO/MEMS sensor (ZIF (3)-ZnO/MEMS) exhibits remarkable gas sensitivity for ethanol detection. At an operating temperature of 290 °C, it delivers a substantial response value of 80 towards 25 ppm ethanol, a 13-fold enhancement compared with pristine ZnO/MEMS sensors. The sensor also exhibits an ultra-low theoretical detection limit of 11.5 ppb to ethanol, showcasing its excellent selectivity. The enhanced performance is attributed to the incorporation of N-doped ZnO, which generates abundant oxygen vacancies on the sensor’s surface, leading to enhanced interaction with ethanol molecules. Additionally, a substantial two-order-of-magnitude decrease in the resistance of the gas-sensitive film is observed. Overall, this study provides valuable insights into the design and fabrication strategies applicable to high-performance MEMS gas sensors in a broader range of gas sensing