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In order to solve the problem under the exterior wall of a building, the author proposes a thermodynamic model for HVAC. Scientific and technological progress has promoted social development, under the new development situation, people have higher requirements for living environment. In architectural design, residential environment design is the key content, especially the design of indoor temperature control system. With the continuous promotion of the national sustainable development strategy, the current architectural design pays more at?tention the green design concept, and the HVAC design is the key design content in realizing the green architectural design. In order to make HVAC design more scientific and reasonable, the author studied the concept that HVAC design needs to follow from the perspective of green buildings, and analyzed the specific ap?plication methods of HVAC design technology. The experimental results indicate that the building envelope parameters have a great impact on the building thermodynamic performance, and the annual cooling and heating loads of buildings should be comprehensively considered, reasonably determine the building envelope parameters. The building load has a low support value, so only low quality energy can meet the building load demand, when selecting the HVAC system, consider the matching of energy quality, try to introduce low grade energy, and improve energy utilization efficiency.

Olanzapine (OLZ) is one of the most effective antipsychotic agents, however, its clinical utility has been limited by weight gain. Samidorphan (SAM) is a μ-opioid receptor antagonist and it can reduce the weight gain associated with OLZ. A combination of OLZ and SAM (OLZ/SAM) has been developed to provide the antipsychotic efficacy of OLZ, while mitigating OLZ-associated weight gain.A comprehensive literature search was conducted in PubMed. Key search terms included SAM and weight gain associated with OLZ. The pharmacological action, clinical efficacy, and safety of SAM were reviewed.OLZ can lead to weight gain. SAM is a new drug that acts as an opioid receptor antagonist that can decrease weight gain. SAM mitigates OLZ-associated weight gain while preserving the antipsychotic efficacy of OLZ. Clinical trials have confirmed that OLZ/SAM significantly improved psychotic symptoms, and resulted in significantly less weight gain than OLZ. OLZ/SAM was well tolerated. Therefore, it is a potential new treatment option for schizophrenia.

Affected by the deep cut slope at the plateau edge, the groundwater in most areas is deeply buried, and the runoff is concentrated. Without any barrier, the karst groundwater is finally discharged to the valley. Therefore, the direction of drilling wells in the plateau slope area is toward finding local favorable water rich blocks, which are relative groundwater accumulation areas under the control of structure, lithology, and landform. These areas often have obvious geological boundary conditions (such as the presence of a water resisting layer in the vertical direction, the development of a fault fracture zone in the plane), and their corresponding physical boundary often has a relatively low or high resistance to the surrounding rock. In this paper, the comprehensive geophysical method is used to study the application of water prospecting in the plateau slope of Shuangnuo village, Fuyuan, Yunnan Province. First, according to the hydrogeological conditions (the development of a fault fracture zone and clastic rock is unknown), the plane distribution range and vertical development of the low-resistivity abnormal fault fracture zone are determined using the electrical resistance romography (less than 100 m) and audio magnetotelluric methods (100–500 m). Vertically, the development depth and thickness of the clastic rock aquifuge (P 1 l) are determined using the audio frequency magnetotelluric method, which provides a basis for the maximum depth of the borehole layout. The combination of the electrical resistance romography and audio frequency magnetotelluric methods can delineate the favorable water rich block in the study area well and verify that the study area has the prerequisite to become a water prospecting target. Then, the composite profiling, microtremor horizontal-to-vertical spectral ratio (HVSR), apparent resistivity sounding, and K reflection coefficient methods are carried out in the favorable water rich block delineated by the electrical resistance romography and audio frequency magnetotelluric methods to finally determine the best location of the borehole layout. The optimal borehole layout location (positioning) is determined through the synchronous low resistivity anomaly of the composite profiling method, and the synchronous low resistivity anomaly is determined as a karst fracture zone (qualitative determination) in combination with the HVSR high-value anomaly of the microtremor method. The development depth (depth determination) of the karst fracture zone is finally determined by using the apparent resistivity sounding and K curves. According to the above research, the depth of the drilled hole is 243.5 m, and the water inflow is 144.3 m 3 / day, successfully solving the serious water shortage problem in the local area. The case study results show that the combination of geophysical prospecting methods, namely, the electrical resistance romography, audio frequency magnetotelluric, composite profiling, microtremor, apparent resistivity sounding, and k-reflection coefficient methods, is effective for water exploration in the plateau slope zone.

Before the transaction data in the blockchain is successfully linked, its signature must be publicly verified by a large number of nodes in the blockchain, which is also one of the ways to leak transaction information. To alleviate the contradiction between the public verifiability of signatures and the protection of transaction privacy, we introduce a verifiably encrypted signature scheme into the blockchain. A verifiably encrypted signature scheme contains two parts of signature information: the encrypted signature is used for public verification, and the ordinary signature is used for internal verification. To reach this goal even better, we design a new lattice-based verifiably encrypted signature scheme, which separates the parameter settings of the signer and the adjudicator, and replaces the Gaussian sampling algorithm with a small range of uniform random sampling, achieving better efficiency and security.

Introduction: Surufatinib (also known as HMPL-012, sulfatinib) is a novel oral tyrosine kinase inhibitor (TKI), which has the dual activity of anti-angiogenesis and immune regulation. In December 2...

Background Although ferret antisera used in influenza surveillance did not detect antigenic drift of A(H1N1)pdm09 viruses during the 2015-2016 season, low vaccine effectiveness was reported in adults. We investigated the immune basis of low responses to circulating A(H1N1)pdm09 viruses after vaccination. Methods Prevaccination and postvaccination serum samples collected from >300 adults (aged 18-49 years) in 6 seasons (2010-2011 to 2015-2016) were analyzed using hemagglutination inhibition assays to evaluate the antibody responses to 13 A(H1N1) viruses circulated from 1977 to 2016. Microneutralization and serum adsorption assays were used to verify the 163K and 223R specificity of antibodies. Results Individual antibody profiles to A(H1N1) viruses revealed 3 priming patterns: USSR/77, TW/86, or NC/99 priming. More than 20% of adults had reduced titers to cell-propagated circulating 6B.1 and 6B.2 A(H1N1)pdm09 viruses compared with the A/California/07/2009 vaccine virus X-179A. Significantly reduced antibody reactivity to circulating viruses bearing K163Q was observed only in the USSR/77-primed cohort, whereas significantly lower reactivity caused by egg-adapted Q223R change was detected across all 3 cohorts. Conclusion Both 163K specificity driven by immune priming and 223R specificity from egg-adapted changes in the vaccine contributed to low responses to circulating A(H1N1)pdm09 viruses after vaccination. Our study highlights the need to incorporate human serology in influenza surveillance and vaccine strain selection.

An aggregate signature turns multi-message multi-authentication into multi-message single-authentication, reducing the required storage space, transmission cost, and number of verification calculations, and is suitable for fast message authentication in the big data era, particularly in wireless sensor networks and secure email systems. Many aggregate signature schemes have been proposed, including lattice-based ones, which have good resistance to quantum machine attacks. However, the existing lattice-based aggregate signature schemes, which either have strict requirements on the signing order or encounter security risks, are not suitable for the unordered polymerization environment. In this paper, we accordingly propose a lattice-based unordered aggregate signature scheme. The proposed scheme makes use of the intersection method and solves the unordered aggregate problem of lattice signatures with different public keys. Therefore, it avoids both the signing order limitation and the risk of single signature forgery. Furthermore, the scheme follows the improved security model; hence, it is robust against collusion attacks. In addition, the scheme's security depends on the small integer solution problem, which enables the scheme to resist quantum algorithm attacks.

Background Recent outbreaks of swine-origin influenza A(H3N2) variant (H3N2v) viruses have raised public health concerns. Previous studies indicated that older children and young adults had the highest levels of hemagglutination-inhibition (HI) antibodies to 2010-2011 H3N2v viruses. However, newly emerging 2013 H3N2v have acquired antigenic mutations in the hemagglutinin at amino acid position 145 (N145K/R). We estimated the levels of serologic cross-reactivity among humans primed with seasonal influenza A(H3N2) (sH3N2), using postinfection ferret antisera. We also explored age-related HI antibody responses to 2012-2013 H3N2v viruses. Methods Human and ferret antisera were tested in HI assays against 1 representative 2012 H3N2v (145N) and 2 2013 H3N2v (145K/R) viruses, together with 9 sH3N2 viruses circulating since 1968. Results Low levels of cross-reactivity between the H3N2v and sH3N2 viruses from the 1970s-1990s were observed using postinfection ferret antisera. The overall seroprevalence among the sH3N2-primed population against 2012-2013 H3N2v viruses was >50%, and age-related seroprevalence was observed. Seroprevalence was significantly higher to 2013 H3N2v than to 2012 H3N2v viruses among some children likely to have been primed with A/Sydney/5/97-like (145K) or A/Wuhan/359/95-like viruses (145K). Conclusions A single substitution (N145K/R) was sufficient to affect seropositivity to H3N2v viruses in some individuals. Insight into age-related antibody responses to newly emerging H3N2v viruses is critical for risk assessment and pandemic preparedness.

Digital signature with proxy delegation, which is a secure ownership enforcement tool, allows an original signer to delegate signature rights to a third party called proxy, so that the proxy can sign messages on behalf of the original signer. Many real-world applications make use of this secure mechanism, e.g., digital property transfer. A traditional digital signature mechanism is required to bind a message and its signature together for verification. This may yield extra cost in bandwidth while the sizes of message and signature are relatively huge. Message recovery signature, enabling to reduce the cost of bandwidth, embeds a message into the corresponding signature; therefore, only the signature will be transmitted to the verifier and the message can further be recovered from the signature. In this paper, we, for the first time, propose a novel digital signature scheme in the identity-based context with proxy delegation and message recovery features and, more importantly, our scheme is quantum resistant, in a particular lattice-based signature. Our scheme achieves delegation information and signature existential unforgeability against adaptive chosen warrant and identity. Compared with the seminal lattice-based message recovery signature, our scheme is independent from public key infrastructure, realizes delegation transfer of signature rights, and compresses signature length ulteriorly. To the best of our knowledge, this paper is the first of its type.

The internet-of-things (also known as IoT) connects a large number of information-sensing devices to the Internet to collect all kinds of information needed in real time. The reliability of the source of a large number of accessed information tests the processing speed of signatures. Batch signature allows a signer to sign a group of messages at one time, and signatures’ verification can be completed individually and independently. Therefore, batch signature is suitable for data integration authentication in IoT. An outstanding advantage of batch signature is that a signer is able to sign as many messages as possible at one time without worrying about the size of signed messages. To reduce complexity yielded by multiple message signing, a binary tree is usually leveraged in the construction of batch signature. However, this structure requires a batch residue, making the size of a batch signature (for a group of messages) even longer than the sum of single signatures. In this paper, we make use of the intersection method from lattice to propose a novel generic method for batch signature. We further combine our method with hash-and-sign paradigm and Fiat–Shamir transformation to propose new batch signature schemes. In our constructions, a batch signature does not need a batch residue, so that the size of the signature is relatively smaller. Our schemes are securely proved to be existential unforgeability against adaptive chosen message attacks under the small integer solution problem, which shows great potential resisting quantum computer attacks.

Influenza A (H5N1) viruses continue to pose a public health threat. As inactivated H5N1 vaccines are poorly immunogenic, adjuvants are needed to improve the immunogenicity of H5N1 vaccine in humans. Here, we investigated the immunogenicity and cross-protective efficacy in ferrets of a clade 2.2-derived vaccine with addition of JVRS-100, an adjuvant consisting of cationic liposome–DNA complexes (CLDC). After the first vaccination, significantly higher levels of hemagglutination-inhibition (HAI) and neutralizing antibody titers were detected in ferrets immunized with adjuvanted vaccine compared to unadjuvanted vaccine. Following a second dose of adjuvanted vaccine, HAI antibody titers of≥40 were detected against viruses from multiple H5N1 clades. HAI antibodies against newly isolated H5N2 and H5N8 viruses were also augmented by JVRS-100. Ferrets were challenged with a heterologous H5N1 virus. All ferrets that received two doses of adjuvanted vaccine exhibited mild illness, significantly reduced nasal wash virus titers and protection from lethal challenge. In contrast, ferrets that received unadjuvanted vaccine showed greater weight loss, high viral titers and 3 of 6 animals succumbed to the lethal challenge. Our results indicate that the addition of JVRS-100 to H5N1 vaccine enhanced immunogenicity and cross-protection against lethal H5N1 virus disease in ferrets. JVRS-100 warrants further investigation as a potential adjuvant for influenza vaccines.

The aim of the present study was to obtain a marine bacterium active against Karenia mikimotoi from the East China Sea and to characterize its extracellular algicidal substances. Using preparative high-performance liquid chromatography (prep-HPLC) and electrospray ionization/quadrupole-time of flight mass spectrometer coupled with a high-performance liquid chromatography (LC/MS-Q-TOF) system, we purified the alga-lysing substance produced by strain ZR-2 and determined its molecular structure. Based on morphology and l6S ribosomal DNA (rDNA) sequence analysis, the ZR-2 strain was highly homologous to Thalassospira species. Algicidal activity against K. mikimotoi was detected in the cell-free filtrate but not in bacterial cells. The alga-lysing substance produced by ZR-2 was ethanol-soluble and thermostable, with a retention time of 6.3 min and a measured elemental composition of C7H5O2 ([M-H](-) ion at m/z 121.0295). The alga-lysing substance produced by ZR-2 was determined to be benzoic acid. Compared with the negative control, both purified ZR-2 bacteria-free filtrate and standard benzoic acid promoted K. mikimotoi cell disruption and induced K. mikimotoi cell content leakage. Our study is the first to report benzoic acid activity against K. mikimotoi as well as production of benzoic acid by a Thalassospira species.

The role of pre-existing immunity for influenza vaccine responses is of great importance for public health, and thus has been studied in various contexts, yet the impact of differential priming on vaccine responses in the midst of antigenic drift remains to be elucidated. To address this with antigenically related viruses, mice were first primed by either infection or immunization with A/Puerto Rico/8/34 (PR8) virus, then immunized with whole-inactivated A/Fort Monmouth/1/47 (FM1) virus. The ensuing vaccine responses and the protective efficacy of FM1 were superior in PR8 infection-primed mice compared to PR8 immunization-primed or unprimed mice. Increased FM1-specific Ab responses of PR8 infection-primed mice also broadened cross-reactivity against contemporary as well as antigenically more drifted strains. Further, prior infection heightened the protective efficacy of antigenically distant strains, such as A/Brisbane/59/2006 infection followed by immunization with split pandemic H1N1 vaccine (A/California/07/2009). Therefore, influenza infection is a significant priming event that intensifies future vaccine responses against drift strains.

Carbon dots (C-dots) are a kind of fluorescent nanoparticles that are strongly fluorescent, non-blinking, and can be easily synthesized at low cost. Their emission color can be tuned by varying the excitation wavelength. Their properties make them strong competitors to semiconductor quantum dots. Synthetic approaches for C-dots can be classified into two categories, viz. top-down and bottom-up methods. Surface passivated and functionalized C-dots can be utilized to sense pH values, metal ions and organic molecules. Owing to their low cytotoxicity, biocompatibility and impressive photostability, long-term observations become possible. C-dots also show promise as labels and for bioimaging. This review (with 142 refs.) is divided into several sections. The first covers commonly used methods for preparation of C-dots including laser ablation, arc discharge, electrochemical methods, pyrolytic processes, template based methods, microwave assisted methods, chemical oxidation methods, reverse micelle based methods, etc. The first section also covers methods for surface functionalization and passivation. We continue by discussing the spectroscopic properties and other physical and chemical properties of C-dots (fluorescence, up-conversion fluorescence, methods for enhancing photoluminescence, effects of pH value, cytotoxicity, etc.). Another section covers the characterization including TEM and XRD. Applications in biology are summarized and subdivided into in vitro imaging, in vivo imaging, chemical probe, quantitation of biomacromolecules, but also in drug delivery, photoacoustic imaging and anticancer therapy. We finally discuss current challenges and perspectives in this promising field.

The thesis takes refined solid paraffin, liquid paraffin and dodecyl alcohol molten mixture as environmentally friendly decorative materials. By adding chlorinated paraffin, graphite fibre and other materials to improve its phase change sensitivity, high-performance composite phase change materials are prepared for use in construction under construction. Combining high-performance composite phase-change materials and interior decoration energy-saving and environmentally friendly decorative material systems, a set of indoor self-temperature-adjusting energy-saving and environmentally friendly decorative material systems based on composite phase-change materials was designed. The green energy-saving and environment-friendly decorative material system can cause the phase change material to undergo phase change to absorb or release heat when the season changes or the indoor temperature fluctuates, thereby realising self-adjustment of the indoor temperature and reducing energy consumption for cooling or heating. It is practical and efficient when combined with decorative ceilings and environmental protection integrated internal partition wall panels for interior decoration.

Many broadly neutralizing antibodies (bnAbs) bind to conserved areas of the hemagglutinin (HA) stalk region and can inhibit the low pH induced HA conformational changes necessary for viral membrane fusion activity. We developed and evaluated a high-throughput virus-free and cell-free ELISA based low pH induced HA Conformational Change Inhibition Antibody Detection Assay (HCCIA) and a complementary proteinase susceptibility assay. Human serum samples (n = 150) were tested by HCCIA using H3 recombinant HA. Optical density (OD) ratios of mAb HC31 at pH 4.8 to pH 7.0 ranged from 0.87 to 0.09. Our results demonstrated that low pH induced HA conformational change inhibition antibodies (CCI) neutralized multiple H3 strains after removal of head-binding antibodies. The results suggest that HCCIA can be utilized to detect and characterize CCI in sera, that are potentially broadly neutralizing, and serves as a useful tool for evaluating universal vaccine candidates targeting the HA stalk.

According to the value of PM2.5 in Langfang city in 2015, we propose a new prediction technique based on ARMA and improved BP neural network to forecast the PM2.5 concentrations. In order to prove the accuracy of prediction of PM2.5 concentration of the combined model, Two models considered in the study:ARMA+BP neural network combined model and ARMA+improved BP neural network combined model. The study showed that compared with the ARMA+BP neural network combined model, ARMA+improved BP neural network combined model can better predict the value of PM2.5 and the prediction error is relatively small.

Herein, we report the draft genome sequences of six individual Staphylococcus epidermidis clones, cultivated from blood taken from different preterm neonatal sepsis patients at the Royal Infirmary, Edinburgh, Scotland, United Kingdom.

The microneutralization assay is commonly used to detect antibodies to influenza virus, and multiple protocols are used worldwide. These protocols differ in the incubation time of the assay as well as in the order of specific steps, and even within protocols there are often further adjustments in individual laboratories. The impact these protocol variations have on influenza serology data is unclear. Thus, a laboratory comparison of the 2-day enzyme-linked immunosorbent assay (ELISA) and 3-day hemagglutination (HA) microneutralization (MN) protocols, using A(H1N1)pdm09, A(H3N2), and A(H5N1) viruses, was performed by the CONSISE Laboratory Working Group. Individual laboratories performed both assay protocols, on multiple occasions, using different serum panels. Thirteen laboratories from around the world participated. Within each laboratory, serum sample titers for the different assay protocols were compared between assays to determine the sensitivity of each assay and were compared between replicates to assess the reproducibility of each protocol for each laboratory. There was good correlation of the results obtained using the two assay protocols in most laboratories, indicating that these assays may be interchangeable for detecting antibodies to the influenza A viruses included in this study. Importantly, participating laboratories have aligned their methodologies to the CONSISE consensus 2-day ELISA and 3-day HA MN assay protocols to enable better correlation of these assays in the future.

Fuzzy identity-based cryptography introduces the threshold structure into identity-based cryptography, changes the receiver of a ciphertext from exact one to dynamic many, makes a cryptographic scheme more efficient and flexible. In this paper, we propose the first fuzzy identity-based signcryption scheme in lattice-based cryptography. Firstly, we give a fuzzy identity-based signcryption scheme that is indistinguishable against chosen plaintext attack under selective identity model. Then we apply Fujisaki-Okamoto method to obtain a fuzzy identity-based signcryption scheme that is indistinguishable against adaptive chosen ciphertext attack under selective identity model. Thirdly, we prove our scheme is existentially unforgeable against chosen message attack under selective identity model. As far as we know, our scheme is the first fuzzy identity-based signcryption scheme that is secure even in the quantum environment.

Recent outbreaks of swine-origin influenza A(H3N2) variant virus (H3N2v) in the U.S., mainly among young children with swine exposure, have raised concerns. Previous studies demonstrated older children and young adults had the highest hemagglutination-inhibition (HI) antibodies (Ab) to 2011 H3N2v viruses. In 2013, newly emerging antigenic variants of H3N2v viruses, responsible for 18 human infections, acquired N145K/R mutations in hemagglutinin (HA). Here, human and postinfection ferret sera were tested in HI assays against 2012-13 H3N2v viruses possessing 145N, K or R HA mutations, together with nine historical seasonal H3N2 (sH3N2) viruses circulating since 1968. We found the H3N2v viruses were antigenically distinct but retained a low degree of serologic cross-reactivity (CR) (with ferret antisera) to sH3N2 viruses that circulated in 1990s. Across all age groups (6-80+ years), approximately half were seropositive (HI titer≥40) to the H3N2v viruses. The age related seroprevalence among children were likely associated with primary exposure to sH3N2 viruses in 1990s. We observed a single substitution at 145 in HA was sufficient to change an individual’s seropositivity to the virus and significantly influenced the seroprevalence in certain age groups. The susceptibility to 2012-13 H3N2v viruses remains high in young children, and low in older children and young adults. Improved knowledge of age-related CR Ab is critical for influenza risk assessment and pandemic preparedness.