The construction of carbon emission trading market is gradually improved, making carbon assets have financial nature, which can effectively restrain excessive carbon emissions. Accurate prediction of ...the carbon price is of great significance to the scientific decision-making of the government. In order to make the prediction more accurate and reasonable, this paper proposes a new combinatorial optimization prediction method based on unstructured data. In the model, firstly, the structured data screened by grey correlation method and factor analysis and the unstructured data screened by Baidu index are taken as one of the input ends of prediction. Secondly, the Mean value Optimization (MOEMD) method is used to decompose the fluctuating carbon price as the other part of the input of the prediction model. Then, based on the optimized Extreme Learning Machine (ELM) prediction model, the Kidney Algorithm (KA) algorithm with scaling factor and cooperation factor (CKA) model are established to predict the carbon trading price of China. Finally, simulation experiments are carried out in eight pilot areas in China to verify the effectiveness of the model. The results show that the MOEMD-CKA-ELM performs well in carbon price prediction, and the unstructured learning method effectively improves the prediction performance of the model.
Display omitted
•Propose a new combinatorial optimization prediction model based on unstructured data: MOEMD-CKA-ELM;•Predictions based on unstructured data and processed historical data on carbon prices are more accurate and logical;•The Extreme Learning Machine(ELM) optimized by the Kidney Algorithm with proportional factor and cooperative factor(CKA) can predict the carbon price more accurately.
One fundamental property of a stem cell niche is the exchange of molecular signals between its component cells. Niche models, such as the
testis, have been instrumental in identifying and studying ...the conserved genetic factors that contribute to niche molecular signalling. Here, we identify
(
), an allele of
(
), which is a core member of the highly conserved Striatin-interacting phosphatase and kinase (STRIPAK) complex. In the developing
testis,
cell-autonomously regulates the differentiation and morphology of the somatic lineage, and non-cell-autonomously regulates the proliferation and differentiation of the germline lineage. Mechanistically,
acts in the somatic lineage with its STRIPAK partner,
(
), where they negatively regulate the Jun N-terminal kinase (JNK) signalling pathway. Our study reveals a novel role for
/
in JNK pathway regulation during spermatogenesis within the developing
testis.
Display omitted
•The first solvent-free, ROP and RAFT-based approach to make readily biodegradable PVA diblock copolymers.•Nanoencapsulation with a narrow size distribution of personal care and ...pharma actives (curcumin and fenofibrate).•In vitro controlled release of curcumin and fenofibrate to demonstrate the application of the technology.•Stable size and purity of encapsulated particles after being exposed to ambient conditions after ten months.•Enhanced biodegradability up to 78%.
The synthesis of readily biodegradable amphiphilic polyvinyl alcohol diblock copolymers (poly(VA-b-MDO)) was achieved through the combination of radical ring-opening polymerization (rROP) and reversible addition-fragmentation chain-transfer (RAFT)-living radical polymerization using 2-methylene-1,3-dioxepane (MDO) and vinyl acetate (VAc) monomers in three steps. The chemistry features solvent-free conditions (bulk polymerization) and subsequent deprotection of the acetyl group under mild conditions. With this optimized method, various lengths of poly(VA) and poly(MDO) in poly(VA-b-MDO) were synthesized by controlling the molecular weight distribution of both blocks. The self-assembly of diblock copolymers to nanoparticles with narrow size distribution and subsequent encapsulation of personal care and pharma active ingredients (e.g., curcumin and fenofibrate) and their controlled release were investigated. In vitro release experiments demonstrated that encapsulated nanoparticles release the actives at a slow and consistent rate compared to free actives. Stability experiments showed that the particle size distribution and purity of curcumin and fenofibrate remained unchanged after being exposed to light for ten months. More importantly, our environmental biodegradability studies revealed that the degradable poly(VA-b-MDO) (6b), consisting of 35 mol% poly(VA) and 65 mol% poly (MDO) blocks, achieves a biodegradability of 78% in 28 days. This is owing to the higher mole ratio of degradable polyester units in the polymer backbone as compared to poly(VA-b-MDO) (6c), which contains 64 mol% poly(VA) and 36 mol% poly(MDO) blocks (33% in 28 days). Our results provide insights into the potential applicability of these polymers in personal care and pharmaceutical products where biodegradability is a crucial factor. By developing a sustainable methodology from synthesis to application, our work helps to harness the potential of biodegradable diblock copolymers in the consumer care and medical fields.
Abstract
CKA, a chemokine receptor antagonist intended for treating inflammatory conditions, produced dose-dependent hepatotoxicity in rats but advanced into the clinic where single doses of CKA up ...to 600 mg appeared safe in humans. Because existing toxicological platforms used during drug development are not perfectly predictive, a quantitative systems toxicology model investigated the hepatotoxic potential of CKA in humans and rats through in vitro assessments of CKA on mitochondrial respiration, oxidative stress, and bile acid transporters. DILIsym predicted that single doses of CKA caused serum ALT >3xULN in a subset of the simulated rat population, while single doses in a simulated human population did not produce serum ALT elevations. Species differences were largely attributed to differences in liver exposure, but increased sensitivity to inhibition of mitochondrial respiration in the rat also contributed. We conclude that mechanistic modeling can elucidate species differences in the hepatotoxic potential of drug candidates.
Support vector machine (SVM) is a theoretically well motivated algorithm developed from statistical learning theory which has shown impressive performance in many fields. In spite of its success, it ...still suffers from the noise sensitivity problem originating from the assumption that each training point has equal importance or weight in the training process. To relax this problem, the SVM was extended to the fuzzy SVM (FSVM) by applying a fuzzy membership to each training point such that different training points can make different contributions to the learning of the decision surface. Although well-determined fuzzy memberships can improve classification performance, there are no general guidelines for their construction. In this paper, inspired by the centered kernel alignment (CKA), which measures the degree of similarity between two kernels (or kernel matrices), we propose a new fuzzy membership function calculation method in which a heuristic function derived from the CKA is used to calculate the dependence between a data point and its associated label. Although the CKA induced FSVM is similar to the kernel target alignment (KTA) induced FSVM, there is actually a critical difference. Without that centering, the definition of alignment does not correlate well with the performance of learning machines. Extensive experiments are performed on real-world data sets from the UCI benchmark repository and the application domain of computational biology which validate the superiority of the proposed FSVM model in terms of several classification performance measures.
This paper concerns the fundamental problem of processing conjunctive queries that contain both keyword and range conditions on public clouds in a privacy preserving manner. No prior Searchable ...Symmetric Encryption (SSE) based privacy preserving conjunctive query processing scheme satisfies the three requirements of adaptive security, efficient query processing, and scalable index size. In this paper, we propose the first privacy preserving conjunctive query processing scheme that satisfies all the above three requirements. To achieve adaptive security, we propose an Indistinguishable Bloom Filter (IBF) data structure for indexing. To achieve efficient query processing and structural indistinguishability, we propose a highly balanced binary tree data structure called Indistinguishable Binary Tree (IBtree). To achieve scalable and compact index size, we propose an IBtree space compression algorithm to remove redundant information in IBFs. To optimize search efficiency, we propose a traversal minimization algorithm. To make our scheme dynamic, we propose update algorithms. We prove that our scheme is adaptive secure under the IND-CKA secure model. The key contribution of this paper is on achieving conjunctive query processing with both strong privacy guarantee and practical efficiency in terms of both speed and space. We implemented our scheme in C++, evaluated and compared its performance with the prior KRB scheme for keyword queries and the prior PBtree scheme for range queries on two real-world data sets. Experimental results show that our scheme is both fast and scalable. For example, processing a query only takes a few milliseconds for millions of records.
Abstract
The present work systematically investigates the hydrolysis mechanism of cyclic ketene acetal (CKA) monomers in detail and explores polymerization in water under organic solvent‐free and ...surfactant‐free conditions. To understand the effect of CKA structure on hydrolysis, the ring size of the monomers is varied from 5–8‐membered rings systematically and hydrolysis experiments are performed. In all cases, hydrolysis yields monoacetylated diol products. Deuterium and
17
O‐isotopic labeled experiments are carried out for 5‐ and 7‐membered‐(2‐methylene‐1,3‐dioxepane, MDO) CKAs to understand the reaction pathway. The experimental analysis from the reaction of CKA with water revealed that the increasing hydrophobicity from 5–8‐membered rings and the pH of the reaction medium play important roles in the order of reactivity. Density functional theory (DFT) and experimental studies demonstrated that basic reaction conditions have some control over the hydrolysis rate of CKA. Despite this progress, achieving controlled polymerization of CKA in water while suppressing hydrolysis remains challenge. Only up to 3 mol% CKA incorporation is attained in polyacrylate and polyacrylamide backbone via radical ring‐opening polymerization (rROP) of MDO and 8‐membered CKAs with 2‐hydroxyethyl acrylate (HEA) and acrylamide (AAm) in water. The results serve a proof of concept for advancing aqueous copolymerizations using CKA monomers.
This work presents an in-depth kinetic study of the thermal degradation of recycled acrylonitrile-butadiene-styrene (ABS) polymer. Non-isothermal thermogravimetric analysis (TGA) data in nitrogen ...atmosphere at different heating rates comprised between 2 and 30 K min
were used to obtain the apparent activation energy (
) of the thermal degradation process of ABS by isoconversional (differential and integral) model-free methods. Among others, the differential Friedman method was used. Regarding integral methods, several methods with different approximations of the temperature integral were used, which gave different accuracies in
. In particular, the Flynn-Wall-Ozawa (FWO), the Kissinger-Akahira-Sunose (KAS), and the Starink methods were used. The results obtained by these methods were compared to the Kissinger method based on peak temperature (
) measurements at the maximum degradation rate. Combined Kinetic Analysis (CKA) was also carried out by using a modified expression derived from the general Sestak-Berggren equation with excellent results compared with the previous methods. Isoconversional methods revealed negligible variation of
with the conversion. Furthermore, the reaction model was assessed by calculating the characteristic y ( α ) and z ( α ) functions and comparing them with some master plots, resulting in a
order reaction model with
= 1.4950, which allowed calculating the pre-exponential factor (
) of the Arrhenius constant. The results showed that
of the thermal degradation of ABS was 163.3 kJ mol
, while ln
was 27.5410 (
in min
). The predicted values obtained by integration of the general kinetic expression with the calculated kinetic triplet were in full agreement with the experimental data, thus giving evidence of the accuracy of the obtained kinetic parameters.
For attribute-based zero-shot learning (ZSL), the attribute classifiers learned previously on the training images may not be usable for the testing images due to that the training and testing images ...may follow different data distributions. Since domain adaptation learning can effectively perform knowledge transfer under the circumstance of different data distributions, we proposed a novel ZSL method, referred to as multisource domain attribute adaptation based on adaptive multikernel alignment learning (A-MKAL), from the point of view of classifier adaptation. Considering there may be a large difference between object classes, we adopt the clustering method to group the training images according to the class-class correlation measured by the whitened cosine similarity, thus multiple source domains are created. The created multiple source domains are then combined into one weighted source domain to participate in the distribution discrepancy match across domains. In order to adapt the attribute classifier learned on the well-defined source domains to the target domain (the training image set), we designed the A-MKAL by applying the centered kernel alignment to align the attribute kernel matrix and the kernel function of adaptive multiple kernel learning. Experiments on Shoes, OSR, and AWA datasets show that, compared with state-of-the-art methods, our proposed method yields more accurate classification.
Objectives:
This study aimed to determine the factors influencing the lower lip profile
during Class III lower total arch distalization camouflage treatment.
Methods:
The cohort included 45 patients ...diagnosed with skeletal class III
malocclusion. These patients underwent camouflage orthodontic treatment with
lower arch total distalization. Lateral cephalograms were taken at the
pretreatment and posttreatment stages. Cephalometric measurements were
analyzed to unravel the influencing factors of the lower lip profile. This
study defined new variables,
i.e
., CK and CKA, for detailed
soft tissue analysis.
Results:
Novel soft tissue measurements presented in this study showed statistically
significant changes after treatment. The CK angle and L1 to A Pog, L1 to NB,
and IMPA were statistically correlated. Simple regression analysis was
performed between variables. The formula was ΔCKA = 0.79(Δ L1
to NB) -1.6, and multiple regression resulted in ΔCKA = 0.5(Δ
L1 to NB) – 0.42 (‘LL to Eline’, before treatment).
Conclusion:
The present study provided evidence that the lower lip evaluations, including
the novel CKA and CKHA, were significantly related to the mandibular incisor
position during total distalization of the mandibular dentition. The results
demonstrated that clinically significant lip retraction could be obtained.
Therefore, non-extraction with distalization must be suggested as the first
treatment option in mild skeletal class III malocclusion patients.
PDF
