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Spexin (SPX1) is a neuropeptide of 14 amino acids (aa), originally identified by bioinformatics, which has been implicated in various physiological functions in vertebrates via galanin receptors 2 and 3 (GALR2/3). To clarify the biological role of SPX1 in the control of reproduction in yellowtail kingfish, which is regarded as a promising species for offshore aquaculture worldwide, cDNA sequences of spx1 and six potential receptors were identified in the current study. The open reading frame of yellowtail kingfish spx1 was 363 nucleotides in size that encoded a 120-aa preprohormone, and its mature peptide was highly conserved among other species. The cDNA sequences of six GALRs (galr1a, galr1b, galr2a, galr2b, galr type 1, and galr type 2) were 1053 base pairs (bp), 1068 bp, 981 bp, 1137 bp, 1038 bp, 924 bp, which encoded G protein-coupled receptors of 350 aa, 355 aa, 326 aa, 378 aa, 345 aa, 307 aa, respectively. Tissue distribution analysis showed that spx1, galr1b, and galr2b transcripts were mainly detected in the brain. The highest mRNA levels of galr1a and galr2a were observed in the pituitary, followed by the brain and ovary. Both galr type 1 and galr type 2 were widely expressed in various tissues, with a peak level in the kidney. Moreover, all spx1 and galr genes significantly fluctuated during early ontogeny, exhibiting different expression patterns. Intraperitoneal injection of SPX1 significantly increased brain gnrh1, gnih, spx1, gal, and tac3 expression, while it inhibited gnrh2, kiss1r, and kiss2r mRNA levels. In the pituitary, SPX1 injection reduced transcript levels of gh, lhβ, and fshβ. Overall, our results have revealed the involvement of SPX1 in the reproductive functions in yellowtail kingfish. [ABSTRACT FROM AUTHOR]

Purpose: This study was designed to evaluate the efficacy of different periurethral structural reconstruction approaches to improve postoperative continence post robot-assisted radical prostatectomy (RARP), which remains a critical concern. Methods: This study included patients with prostate cancer who received single, combined, and nonreconstruction following RARP from April 2017 to May 2021. Medical details were recorded, and patients were followed up via phone or the outpatient clinic. Continence, potency recovery, and quality of life were evaluated. Continence rate was assessed by daily urinary pads use and was compared between groups with the Kaplan-Meier method. Potency recovery was assessed by the questionnaire score. All variables were further analyzed via univariable and multivariable regression analysis. Results: Sixty patients were included in nonreconstruction group. Fifty-two and 156 patients were included in the single and combined group, respectively. Across early postoperative follow-up period, both single and combined reconstruction group showed higher continence rate (p < 0.05). The combined approach showed an advantage over the single one in improving continence rate (p < 0.05). Univariable and multivariable regression analysis point to the reconstruction approach as an independent factor that affects postoperative continence recovery post RARP. Conclusions: Periurethral reconstruction approaches were found to be beneficial in promoting early continence recovery after RARP, without compromising preserved neurovascular bundle. Combination of anterior and posterior reconstruction could be more beneficial on continence recovery and should be considered in clinical practice. [ABSTRACT FROM AUTHOR]

Taste buds contain 2 types of GABA-producing cells: sour-responsive Type III cells and glial-like Type I cells. The physiological role of GABA, released by Type III cells is not fully understood. Here, we investigated the role of GABA released from Type III cells using transgenic mice lacking the expression of GAD67 in taste bud cells (Gad67-cKO mice). Immunohistochemical experiments confirmed the absence of GAD67 in Type III cells of Gad67-cKO mice. Furthermore, no difference was observed in the expression and localization of cell type markers, ectonucleoside triphosphate diphosphohydrolase 2 (ENTPD2), gustducin, and carbonic anhydrase 4 (CA4) in taste buds between wild-type (WT) and Gad67-cKO mice. Short-term lick tests demonstrated that both WT and Gad67-cKO mice exhibited normal licking behaviors to each of the five basic tastants. Gustatory nerve recordings from the chorda tympani nerve demonstrated that both WT and Gad67-cKO mice similarly responded to five basic tastants when they were applied individually. However, gustatory nerve responses to sweet–sour mixtures were significantly smaller than the sum of responses to each tastant in WT mice but not in Gad67-cKO mice. In summary, elimination of GABA signalling by sour-responsive Type III taste cells eliminates the inhibitory cell–cell interactions seen with application of sour–sweet mixtures. [ABSTRACT FROM AUTHOR]

Copyright of Rare Metals is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Rare Metals is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Cyanobacteria are important primary producers, contributing to 25% of the global carbon fixation through photosynthesis. They serve as model organisms to study the photosynthesis, and are important cell factories for synthetic biology. To enable efficient genetic dissection and metabolic engineering in cyanobacteria, effective and accurate genetic manipulation tools are required. However, genetic manipulation in cyanobacteria by the conventional homologous recombination-based method and the recently developed CRISPR-Cas gene editing system require complicated cloning steps, especially during multi-site editing and single base mutation. This restricts the extensive research on cyanobacteria and reduces its application potential. In this study, a highly efficient and convenient cytosine base editing system was developed which allows rapid and precise C → T point mutation and gene inactivation in the genomes of Synechocystis and Anabaena. This base editing system also enables efficient multiplex editing and can be easily cured after editing by sucrose counter-selection. This work will expand the knowledge base regarding the engineering of cyanobacteria. The findings of this study will encourage the biotechnological applications of cyanobacteria. An efficient cytosine base editor was developed in cyanobacteria, which allows rapid and precise C → T point mutation and gene inactivation. This genome editing tool will accelerate the metabolic engineering and fundamental researches in cyanobacteria. [ABSTRACT FROM AUTHOR]

Copyright of Rare Metals is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In this article, we study strong limit theorems for weighted sums of extended negatively dependent random variables under the sub-linear expectations. We establish general strong law and complete convergence theorems for weighted sums of extended negatively dependent random variables under the sub-linear expectations. Our results of strong limit theorems are more general than some related results previously obtained by Thrum (1987), Li et al. (1995) and Wu (2010) in classical probability space. [ABSTRACT FROM AUTHOR]

Introduction: Isoniazid is a first-line antituberculosis agent with high variability, which would profit from individualized dosing. Concentrations of isoniazid at 2 h (C2h), as an indicator of safety and efficacy, are important for optimizing therapy. Objective: The objective of this study was to establish machine learning (ML) models to predict the C2h, that can be used for establishing an individualized dosing regimen in clinical practice. Methods: Published population pharmacokinetic (PopPK) models for adults were searched based on PubMed and ultimately four reliable models were selected for simulating individual C2h datasets under different conditions (demographics, genotype, ethnicity, etc.). Machine learning models were trained on simulated C2h obtained from the four PopPK models. Five different algorithms were used for ML model building to predict C2h. Real-world data were used for predictive performance evaluations. Virtual trials were used to compare ML-optimized doses with PopPK model-optimized doses. Results: Categorical boosting (CatBoost) exhibited the highest prediction ability. Target C2h can be predicted using the ML model combined with the dosing regimen and three covariates (N-acetyltransferase 2 [NAT2] genotypes, weight and race [Asians and Africans]). Real-world data validation results showed that the ML model can achieve an overall prediction accuracy of 93.4%. Using the final ML model, the mean absolute prediction error value decreased by 45.7% relative to the average of PopPK models. Using the ML-optimized dosing regimen, the probability of target attainment increased by 43.7% relative to the PopPK model-optimized dosing regimens. Conclusion: Machine learning models were developed with great predictive performance, which can be used to determine the individualized initial dose of isoniazid in adult patients. [ABSTRACT FROM AUTHOR]

The long noncoding DANCR functions as a tumor oncogene in many cancers, including colorectal cancer (CRC). However, the molecular mechanism of DANCR in CRC has not been explored. This study probed the function and potential mechanism by which DANCR contributes to the progression of CRC. The obtained data indicated that DANCR is overexpressed in CRC tissues and cell lines. Knockdown of DANCR hindered CRC cell proliferation, which was mediated by cyclin D1 and CDK4. Bioinformatic analysis, luciferase reporter assays and subcellular fractionation verified that DANCR directly binds to miR-508-5p. Moreover, DANCR acts as a miR-508-5p ceRNA to regulate expression of ATF1. In addition, upregulation of DANCR is attributed to H3K27 acetylation at the promoter region. In conclusion, our study confirmed that activation of lncRNA DANCR by H3K27 acetylation has an oncogenic role in CRC progression and provides a potential therapeutic target for CRC. [ABSTRACT FROM AUTHOR]

In this paper, as-received Zn powder and as-prepared Zn@(ZnWO4/ZnO) core–shell powder were used as feedstocks for plasma spraying to prepare Zn-based composite coatings and nano-ZnO was co-deposited by chemical vapor deposition induced by plasma spraying. The composition and morphology were controllable within certain range by plasma spraying power. The photocatalytic activities of the coatings were analyzed by the degradation efficiency of methyl orange (MO) solution. It was found the photocatalytic activity can be improved with ZnWO4 decoration. The Zn/ZnO/ZnWO4 coating which presented tremella-like surface morphology was testified to have the best photocatalytic activity under UV light irradiation among all coatings. On the other hand, the chemical surface modification with 1H,1H,1H,2H-perfluorodecyltriethoxysilane (FAS-17) was implemented to produce superhydrophobic coatings. Among all modified coatings, the ZnWO4-containing coating with tremella-like surface structure presented the best superhydrophobicity. By the cyclic wetting and tape adhesion experiments, the tremella-like structure was proved to make a great improvement on the robustness of the Zn-based superhydrophobic coatings. The superhydrophobic and photocatalytic properties provide the possibility for the application of the coating in the fields of antifouling, antibacterial, and photocatalytic degradation of organics. [ABSTRACT FROM AUTHOR]

Climate change significantly impacts human health, exacerbating existing health inequalities and creating new ones. This study addresses the lack of systematic review in this area by analyzing 2440 publications, focusing on four key terms: health, disparities, environmental factors, and climate change. Strict inclusion criteria limited the selection to English-language, peer-reviewed articles related to climate health hazards, ensuring the relevance and rigor of the synthesized studies. This process synthesized 65 relevant studies. Our investigation revealed that recent research, predominantly from developed countries, has broadened its scope beyond temperature-related impacts to encompass diverse climate hazards, including droughts, extreme weather, floods, mental health issues, and the intersecting effects of Coronavirus Disease 2019. Research has highlighted exposure as the most studied element in the causal chain of climate change-related health inequalities, followed by adaptive capability and inherent sensitivity. The most significant vulnerabilities were observed among populations with low socioeconomic status, ethnic minorities, and women. The study further reveals research biases and methodological limitations, such as the paucity of attention to underdeveloped regions, a narrow focus on non-temperature-related hazards, challenges in attributing climate change effects, and a deficit of large-scale empirical studies. The findings call for more innovative research approaches and a holistic integration of physical, socio-political, and economic dimensions to enrich climate-health discourse and inform equitable policy-making. [ABSTRACT FROM AUTHOR]

This research aims to comprehensively study the deformation characteristics of an excavation pit of 7,600 m2 (117 m long, 65 m wide and 20.8 m deep) in soft clay in Shanghai, China. The deformation characteristics of the mixing pile in both the vertical and lateral directions, ground surface movement, and surface displacement in the adjacent tunnels were comprehensively investigated. The results indicated that the maximum lateral deflection was approximately 85 mm at the end of the excavation and that the maximum lateral displacement, δhm, was in the range between 0.12%He and 0.41%He. The factor of safety of the excavation was approximately 1.6, which was larger than that of most reported sites in Shanghai. The relationship between heaving and excavation depth was strong between 0.0047%He and 0.056%He, and a relatively large settlement was observed at a distance of approximately 0.2He–0.3He. The tunnel surface of the eastbound line deformed upward and inward with a maximum horizontal convergence of 4 mm. A multilayer regression model was also validated, showing a maximum discrepancy of 26.5 mm. This research provides a valuable historical case for the documentation of the deformation characteristics of excavation pits close to existing foundation pits and tunnels. [ABSTRACT FROM AUTHOR]

Aim: Nonpharmaceutical interventions (NPIs) are important strategies to utilize in reducing the negative systemic impact pandemic disasters have on human health. However, early on in the pandemic, the lack of prior knowledge and the rapidly changing nature of pandemics make it challenging to construct effective epidemiological models that can be used for anti-contagion decision-making. Subject and methods: Based on the parallel control and management theory (PCM) and epidemiological models, we developed a Parallel Evolution and Control Framework for Epidemics (PECFE), which can optimize epidemiological models according to the dynamic information during the evolution of pandemics. Results: The cross-application between PCM and epidemiological models enabled us to successfully construct an anti-contagion decision-making model for the early stages of COVID-19 in Wuhan, China. Using the model, we estimated the effects of gathering bans, intra-city traffic blockades, emergency hospitals, and disinfection, forecasted pandemic trends under different NPIs strategies, and analyzed specific strategies to prevent pandemic rebounds. Conclusion: The successful simulation and forecasting of the pandemic showed that the PECFE could be effective in constructing decision models during pandemic outbreaks, which is crucial for emergency management where every second counts. [ABSTRACT FROM AUTHOR]

This study aims to explore the potential value of light imaging detection based on Internet of Things devices in the simulation application of dance sports data monitoring. In this context, the aim of this study is to use iot devices and optical imaging technology to monitor dance sport movement, and to provide a more comprehensive and accurate motion monitoring scheme through data processing and simulation analysis. We adopt the optical imaging detection technology based on Internet of Things devices to realize the real-time monitoring of dance sports. By installing optical sensors and camera devices, the technology is able to capture key movements and postures during movement and transmit the data to a monitoring system for analysis. We use deep learning algorithm to process and recognize the acquired image data, so as to realize motion detection and posture analysis. Through experiments and data analysis, we get satisfactory results. By monitoring and analyzing the optical image data during the dancesport movement, we are able to accurately capture and record the movement characteristics of athletes, providing real-time movement monitoring and feedback. We have also developed simulation applications that enable the simulation evaluation of an athlete's posture and technical level by converting optical image data into a motion model. [ABSTRACT FROM AUTHOR]

Saliva, an oral secretion primarily originating from salivary glands (SGs), exert critical roles in the ongoing evolutionary interaction between insects and plants. However, identifying insect salivary components poses challenges due to the tiny size of insects, low secretion amounts, and the propensity for degradation after secretion. In this study, we developed a transcriptome-based approach to comprehensively analyze the salivary proteins of the short-headed planthopper, Epeurysa nawaii, a species with unique feeding habits on bamboo. A total of 165 salivary proteins were identified, with 114 secretory genes highly and specifically expressed in SGs. Consistent with most phloem-feeding insects, digestive enzymes, calcium-binding proteins, oxidoreductases, and a few previously reported salivary effectors were ubiquitously distributed in E. nawaii saliva. However, we also identified a substantial portion of salivary proteins exhibiting taxonomy specificity, including 60 E. nawaii-specific and 62 Delphacidae-specific proteins. These taxonomy-restricted proteins potentially play a role in insect adaptation to specific host plants. Our study provides an efficient pipeline for salivary protein identification and serves as a valuable resource for the functional characterization of effectors. [ABSTRACT FROM AUTHOR]

Traffic flow prediction is the fundamental cornerstone of intelligent urban transportation systems. However, existing research has predominantly focused on exploring spatiotemporal dependencies within the spatial and temporal domains, often overlooking the frequency information present in traffic data. This study aims to address this limitation by simultaneously modelling the temporal, spatial, and frequency domain dependencies of traffic flow, thereby proposing a novel model called the frequency-enhanced spatiotemporal graph convolutional network (FeSTGCN) for enhanced accuracy and interpretability in traffic flow prediction. Specifically, this study devises an approach that utilises a time–frequency transformation method to extract frequency-domain information from traffic flow. Spatiotemporal domain dependencies were captured using an attention-based diffusion graph and temporal convolutions. Extensive experiments were conducted on a real-world road network using adaptive signal timing. The results demonstrate that the FeSTGCN is highly competitive compared with state-of-the-art models. Furthermore, the FeSTGCN exhibits excellent interpretability as frequency information provides novel insights into the composition and intrinsic patterns of traffic flow. [ABSTRACT FROM AUTHOR]

Herbivorous insects employ an array of salivary proteins to aid feeding. However, the mechanisms behind the recruitment and evolution of these genes to mediate plant-insect interactions remain poorly understood. Here, we report a potential horizontal gene transfer (HGT) event from bacteria to an ancestral bug of Eutrichophora. The acquired genes subsequently underwent duplications and evolved through co-option. We annotated them as horizontal-transferred, Eutrichophora-specific salivary protein (HESPs) according to their origin and function. In Riptortus pedestris (Coreoidea), all nine HESPs are secreted into plants during feeding. The RpHESP4 to RpHESP8 are recently duplicated and found to be indispensable for salivary sheath formation. Silencing of RpHESP4-8 increases the difficulty of R. pedestris in probing the soybean, and the treated insects display a decreased survivability. Although silencing the other RpHESPs does not affect the salivary sheath formation, negative effects are also observed. In Pyrrhocoris apterus (Pyrrhocoroidea), five out of six PaHESPs are secretory salivary proteins, with PaHESP3 being critical for insect survival. The PaHESP5, while important for insects, no longer functions as a salivary protein. Our results provide insight into the potential origin of insect saliva and shed light on the evolution of salivary proteins. An evolutional and functional study on bug saliva suggests that horizontally transferred genes provide a selective advantage to recipient insects by enhancing their feeding abilities. [ABSTRACT FROM AUTHOR]

There are few effective treatments for small cell lung cancer (SCLC) underscoring the need for innovative therapeutic approaches. This study focuses on exploiting telomerase, a critical SCLC dependency as a therapeutic target. A prominent characteristic of SCLC is their reliance on telomerase activity, a key enzyme essential for their continuous proliferation. Here we utilize a nucleoside analog, 6-Thio-2’-deoxyguanosine (6TdG) currently in phase II clinical trials, that is preferentially incorporated by telomerase into telomeres leading to telomere dysfunction. Using preclinical mouse and human derived models we find low intermittent doses of 6TdG inhibit tumor growth and reduce metastatic burden. Anti-tumor efficacy correlates with a reduction in a subpopulation of cancer initiating like cells (CICs) identified by their expression of L1CAM/CD133 and highest telomerase activity. 6TdG treatment also leads to activation of innate and adaptive anti-tumor responses. Mechanistically, 6TdG depletes CICs and induces type-I interferon signaling leading to tumor immune visibility by activating tumor cell STING signaling. We also observe increased sensitivity to irradiation after 6TdG treatment in both syngeneic and humanized SCLC xenograft models both of which are dependent on the presence of host immune cells. This study underscores the immune-enhancing and metastasis-reducing effects of 6TdG, employing a range of complementary in vitro and in vivo SCLC preclinical models providing a potential therapeutic approach to SCLC.Therapeutic options for small cell lung cancer (SCLC) are limited. Here the authors show that a telomere-targeting drug, 6-Thio-2’-deoxyguanosine, inhibits growth of SCLC tumors by inducing telomere dysfunction preferentially in cancer initiating cells and promoting anti-tumor immune responses. [ABSTRACT FROM AUTHOR]

Malware is becoming increasingly prevalent in recent years with the widespread deployment of the information system. Many malicious programs pose a great threat to information systems. In the past decade, various malware detection methods are proposed. Particularly, many studies rely on API features for identifying malware. However, the existing methods do not fully make use of the API features. To address these issues, we propose APInspector, a novel dynamic malware detection solution by carefully inspecting API invocations. This method first leverages a dynamic instrumentation tool to hook the target program for collecting the API sequence and argument features. Then, it exploits a HAN (Hierarchical Attention Network) model to analyze the API sequence features. For analyzing the API argument features, we apply an MLP (Multi-Layer Perceptron) model. To fully leverage the API sequence and argument features, we propose a hybrid model, which combines the HAN and MLP models. The evaluation shows that our approach can detect and classify malware effectively and it outperforms the single models. [ABSTRACT FROM AUTHOR]

Circular RNAs (circRNAs) are a family of endogenous RNAs that have become a focus of biological research in recent years. Emerging evidence has revealed that circRNAs exert biological functions by acting as transcriptional regulators, microRNA sponges, and binding partners with RNA-binding proteins. However, few studies have identified coding circRNAs, which may lead to a hidden repertoire of proteins. In this study, we unexpectedly discovered a protein-encoding circular RNA circCCDC7(15,16,17,18,19) while we were searching for prostate cancer related chimeric RNAs. circCCDC7(15,16,17,18,19) is derived from exon 19 back spliced to exon 15 of the CCDC7 gene. It is significantly downregulated in patients with high Gleason score. Prostate cancer patients with decreased circCCDC7(15,16,17,18,19) expression have a worse prognosis, while linear CCDC7 had no such association. Overexpressed circCCDC7(15,16,17,18,19) inhibited prostate cancer cell migration, invasion, and viability, supporting classification of circCCDC7(15,16,17,18,19) as a bona fide tumor suppressor gene. We provide evidence that its tumor suppressive activity is driven by the protein it encodes, and that circCCDC7(15,16,17,18,19) encodes a secretory protein. Consistently, conditioned media from circCCDC7(15,16,17,18,19) overexpressing cells has the same tumor suppressive activity. We further demonstrate that the tumor suppressive activity of circCCDC7(15,16,17,18,19) is at least partially mediated by FLRT3, whose expression also negatively correlates with Gleason score and clinical prognosis. In conclusion, circCCDC7(15,16,17,18,19) functions as a tumor suppressor in prostate cancer cells through the circCCDC7-180aa secretory protein it encodes, and is a promising therapeutic peptide for prostate cancer. [ABSTRACT FROM AUTHOR]

The humpback grouper (Cromileptes altivelis), a medium-sized coral reef teleost, is a naturally rare species distributed in the tropical waters of the Indian and Pacific Oceans. It has high market value, but artificial reproduction and breeding remain limited and need to be improved. Here, we assembled the genome with 1.08 Gb, with a contig N50 of 43.78 Mb. A total of 96.59% of the assembly anchored to 24 pseudochromosomes using Hi-C technology. It contained 24,442 protein-coding sequences, of which 99.3% were functionally annotated. The completeness of the assembly was estimated to be 97.3% using BUSCO. The phylogenomic analysis suggested that humpback grouper should be classified into the genus Epinephelus rather than Cromileptes. The comparative genomic analysis revealed that the gene families related to circadian entrainment were significantly expanded. The high-quality reference genome provides useful genomic tools for exploiting the genomic resource of humpback grouper and supports the functional genomic study of this species in the future. [ABSTRACT FROM AUTHOR]

Nickel–graphene nanocomposites have been identified as promising candidates for Gen-IV nuclear reactors due to their potential to withstand irradiation damage and hydrogen embrittlement. However, there is currently limited understanding of the synergistic mechanisms between irradiation-induced defects and hydrogen in these composites. This study employs atomistic simulations to investigate the impact of Ni–graphene interfaces on the interaction between irradiation-induced defects and hydrogen, focusing on variables like cascade–interface distance, cascade energy, hydrogen concentration, and ambient temperature. The findings consistently reveal a lower presence of residual irradiated defects in hydrogen-rich composites compared to single-crystal Ni, underscoring the interface's efficacy as a defect trapping site. Furthermore, the composite system yields a notably reduced variety and quantity of hydrogen-related clusters compared to single-crystal Ni, indicating a milder level of damage in the composites. These results contribute to the potential application of Ni–graphene nanocomposites as materials resistant to irradiation and hydrogen effects in advanced nuclear reactors. [ABSTRACT FROM AUTHOR]

Objective: To investigate the application of machine learning (ML) model-based thyroid ultrasound radiomics in the evaluation of malignancy in partially cystic thyroid nodules (PCTNs). Methods: One hundred and ninety-two patients with 197 nodules PCTNs from January 2020 to December 2020 were retrospectively analyzed. Radiomics features were extracted based on hand-crafted features from the ultrasound images, and machine learning methods were used to build a classification model by radiomics features. The least absolute shrinkage and selection operator regression was applied to select the features of nonzero coefficients from radiomics features. The prediction performance of the established model was mainly evaluated by the area under the curve (AUC) and accuracy, sensitivity, and specificity. Results: Nineteen radiomics features were extracted from the original images for each nodule. Eight ML classifiers were able to differentiate malignancy in PCTNs. The AUC, accuracy, sensitivity, and specificity of k-Nearest Neighbor (KNN) model were 0.909, 82.95%, 83.33%, and 89.90%, respectively, on the test cohort. The comparative result showed statistically equivalent performance for thyroid nodule diagnosis based on image fusion and single image. In addition, the ML-Based ultrasound radiomics system showed a better AUC as compared with ACR TI-RADS model and the ultrasound features model. Conclusion: The novel ultrasonic-based ML model has an important clinical value for predicting malignancy in PCTNs. It can provide clinicians with a preoperative non-invasive primary screening method for PCTN diagnosis to avoid unnecessary medical investment and improve treatment outcomes. [ABSTRACT FROM AUTHOR]

Purpose: To clarify whether the combination of age and high-risk factors (HRFs) was preferable for adjuvant chemotherapy (AC) decision-making in patients with stage II colon adenocarcinoma. Methods: We conducted a retrospective study analyzing eligible colon cancer patients from the Surveillance, Epidemiology, and End Results (SEER) database between 2010 and 2017. A nomogram was used to predict patient prognosis. Decision curve analysis (DCA) predicted model clinical benefit. Restricted cubic spline calculated the optimal cut-off value. Results: A total of 8570 patients with stage II colon adenocarcinoma were included in this study; 25.2% received AC. A nomogram predicting the prognosis of patients with stage II colon adenocarcinoma was constructed with age and HRFs, and scores were assigned to the relevant variables. DCA showed that age combined with HRFs was superior to treatment decision-making based on HRFs alone. Patients were grouped according to their total score with the cut-off value of 100. AC did not significantly improve overall survival (OS) in low-score group (hazard ratios (HRs) 1.01, 95% confidence intervals (CIs) 0.86–1.18, p = 0.918). In high-score group, AC improved 5-year OS by about 7.6% (HR 0.73, 95% CI 0.61–0.88, p = 0.001). And high-score group mainly included patients aged < 50 years with two or more HRFs and patients aged ≥ 50 years with at least one HRF. Conclusion: Age and HRFs could be preferable for determining the group of stage II colon adenocarcinoma patients who would benefit from AC. Patients aged < 50 years with two or more HRFs might be a potential benefit population for AC. [ABSTRACT FROM AUTHOR]

Heavy traffic jams are difficult to predict due to the complexity of traffic dynamics. Understanding the network dynamics of traffic bottlenecks can help avoid critical large traffic jams and improve overall traffic conditions. Here, we develop a method to forecast heavy congestions based on their early propagation stage. Our framework follows the network propagation and dissipation of the traffic jams originated from a bottleneck emergence, growth, and its recovery and disappearance. Based on large-scale urban traffic-speed data, we find that dissipation duration of jams follows approximately power-law distributions, and typically, traffic jams dissolve nearly twice slower than their growth. Importantly, we find that the growth speed, even at the first 15 minutes of a jam, is highly correlated with the maximal size of the jam. Our methodology can be applied in urban traffic control systems to forecast heavy traffic bottlenecks and prevent them before they propagate to large network congestions.Heavy traffic jams are difficult to predict due to the complexity of traffic dynamics. The authors propose a framework to unveil identifiable early signals and predict the eventual outcome of traffic bottlenecks, which may be useful for designing effective methods preventing traffic jams. [ABSTRACT FROM AUTHOR]

Objective: To investigate the application of ultrasound and CT image overlap in percutaneous nephrolithotomy (PCNL). Methods: A total of 140 patients with complicated kidney stones requiring PCNL were prospectively enrolled, from January 2020 to December 2022. These patients were randomly divided into 2 groups, with 70 patients each in the research group and the control group. All participants underwent dual-source, non-contrast CT scan of both kidneys and pelvis before surgery. Preoperative three-dimensional CT reconstruction and simulated puncture were performed in patients from the research group. The best puncture path was determined through ultrasound and CT image overlap. Puncture guided by regular CT and ultrasound was conducted in patients from the control group. Differences in the surgical outcomes between the two groups were compared. Results: Compared to the control group, the research group had higher stone clearance rate in stage I PCNL, success rate of one-time puncture, less percutaneous channels, less reduction of hemoglobin and shorter procedure time. Complications in stage I PCNL were comparable in the two groups, and there was no significant change in the final stone clearance rates between the two groups. Conclusion: An optimal puncture channel can be chosen using ultrasound and CT image overlap. PCNL can be achieved with precise puncturing, thus achieving coincidence between imaging and anatomy and reducing the amount of blood loss during stage I of PCNL. It also shortens the procedure time and improves stone clearance rate of PCNL. [ABSTRACT FROM AUTHOR]

Background: The overexpression of ALOX5AP has been observed in many types of cancer and has been identified as an oncogene. However, its role in acute myeloid leukemia (AML) has not been extensively studied. This study aimed to identify the expression and methylation patterns of ALOX5AP in bone marrow (BM) samples of AML patients, and further explore its clinical significance. Methods: Eighty-two de novo AML patients and 20 healthy donors were included in the study. Meanwhile, seven public datasets from Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) were included to confirm the alteration of ALOX5AP. Receiver operating characteristic (ROC) curve analysis was applied to determine the discriminative capacity of ALOX5AP expression to discriminate AML. The prognostic value of ALOX5AP was identified by the Kaplan–Meier method and log-rank test. It was further validated in four independent cohorts (n = 1186). Significantly different genes associated with ALOX5AP expression were subsequently compared by LinkedOmics, and Metascape database. Results: The level of ALOX5AP expression was significantly increased in bone marrow cells of AML patients compared with healthy donors (P < 0.05). ROC curve analysis suggested that ALOX5AP expression might be a potential biomarker to discriminate AML from controls. ALOX5AP overexpression was associated with decreased overall survival (OS) in AML according to the TCGA data (P = 0.006), which was validated by other four independent cohorts. DNA methylation levels of ALOX5AP were significantly lower in AML patients compared to normal samples (P < 0.05), as confirmed in the Diseasemeth database and the independent cohort GSE63409. ALOX5AP level was positively associated with genes with proleukemic effects such as PAX2, HOX family, SOX11, H19, and microRNAs that act as oncogenes in leukemia, such as miR125b, miR-93, miR-494, miR-193b, while anti-leukemia-related genes and tumor suppressor microRNAs such as miR-582, miR-9 family and miR-205 were negatively correlated. Conclusion: ALOX5AP overexpression, associated with its hypomethylation, predicts poorer prognosis in AML. [ABSTRACT FROM AUTHOR]

Non-retroviral endogenous viral elements (nrEVEs) are widely dispersed throughout the genomes of eukaryotes. Although nrEVEs are known to be involved in host antiviral immunity, it remains an open question whether they can be domesticated as functional proteins to serve cellular innovations in arthropods. In this study, we found that endogenous toti-like viral elements (ToEVEs) are ubiquitously integrated into the genomes of three planthopper species, with highly variable distributions and polymorphism levels in planthopper populations. Three ToEVEs display exon‒intron structures and active transcription, suggesting that they might have been domesticated by planthoppers. CRISPR/Cas9 experiments revealed that one ToEVE in Nilaparvata lugens, NlToEVE14, has been co-opted by its host and plays essential roles in planthopper development and fecundity. Large-scale analysis of ToEVEs in arthropod genomes indicated that the number of arthropod nrEVEs is currently underestimated and that they may contribute to the functional diversity of arthropod genes. Non-retroviral endogenous viral elements are widely dispersed in eukaryotic genomes, but their functions remain largely unknown. Here, Huang et al show that one such element in planthoppers has been co-opted and contributes to insect fitness.. [ABSTRACT FROM AUTHOR]

The prevalence of the new crown epidemic has deepened people's awareness of the importance of antibacterial and antiviral materials. It is imperative to develop applicable and economical antibacterial materials. In this work, we have proposed a facile method to prepare plant fibers with prominent antibacterial and antiviral performance. In the proposed strategy, the fiber design and in situ assembly of silver nanoparticles (AgNPs) were applied to improve the antibacterial and antiviral performance of plant fibers. Mechanical refining split the fibers and made them conformable; in this instance, polydopamine (PDA) was precipitated onto the fiber surface by the oxidative polymerization of dopamine and linked closely with cellulose hydroxyl groups, while AgNPs were in situ grown on the PDA coatings; PDA acted as a bonder to link fibers and AgNPs together. Benefiting from the high AgNP loadings and strong bond between AgNPs and fibers, the fibers showed excellent antibacterial and antiviral performance. This study provides a novel route for improving the antibacterial performance of plant fibers. [ABSTRACT FROM AUTHOR]

To meet the global food demand while maintaining the minimum possible negative impacts on the soil, air, and water, sustainable and precise agricultural practices are essential. The efficient use of engineered nanomaterials (ENMs) can replace conventional fertilizers and pesticides, subsequently minimizing the environmental impact of agricultural approaches. Slow-release or controlled-release nitrogenous fertilizers may enhance crop productivity while alleviating agro-environmental constraints. Nitrogen is the essential element which limits worldwide agricultural production. Despite numerous efforts, the N-use efficiency (NUE) in agriculture remains around 50%. The ongoing investigation of novel approaches has resulted in the synthesis of innovative nanomaterials (NMs), providing a potent mechanism for the development of unique element characteristics. The most promising engineered materials being explored, whether for soil or foliar applications, is nanofertilizers. Although not much is known about the usage of NFs, significant results have been observed in various plant species. Granular fertilizers are commonly applied to the soil for the nitrogen requirement of plants. These fertilizers may cause more losses due to the surface runoff or leaching with ammonia volatilization and N oxides (N2O, NO, NOx) emissions. n-NFs are expected to improve NUE by increasing the efficiency of N delivery to plants and minimizing N losses to the environment. A chance to use n-NFs in plants may arise in unique conditions with increasing economic and environmental limitations. This article highlights the possible application of n-NFs as a novel strategy to ensure NUE with the reduction in N losses to the environment, including addressing its potential for sustainable agriculture. [ABSTRACT FROM AUTHOR]

Purpose: Children with acute leukemia have suffered from a considerable symptom burden during chemotherapy. However, few studies have focused on exploring the mechanisms among symptoms in children with acute leukemia. Our study aims to explore core symptoms and describe the interrelationships among symptoms in children with acute leukemia during chemotherapy. Methods: From January 2021 to March 2023, 469 children with acute leukemia were recruited from 20 Chinese cities. The Memorial Symptom Assessment Scale 10–18 (MSAS 10–18) was used to evaluate the prevalence and severity of symptoms during chemotherapy. A network analysis was performed by the R software based on 31 symptoms. Centrality indices and density were used to explore core symptoms and describe interrelationships among symptoms in the network during chemotherapy. Results: Worrying and feeling irritable were the central symptoms across the three centrality indices, including strength, closeness, and betweenness. Lack of energy was the most prevalent symptom; however, it was less central than other symptoms. The density of the "induction and remission" network significantly differed from other cycles' counterparts (p < 0.001). Global strength was greater in the " ≥ 8 years group " network than the " < 8 years group " network (p = 0.023). Conclusion: Network analysis provides a novel approach to identifying the core symptoms and understanding the interrelationships among symptoms. Our study indicates the need to assess emotional symptoms in children with acute leukemia during chemotherapy, especially during the induction and remission phases, as well as in older children. Future research is imperative to construct trajectories of dynamic symptom networks and centrality indices in longitudinal data to investigate the causal relationships among symptoms. [ABSTRACT FROM AUTHOR]

Background: Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder affecting the upper and lower motor neurons, which can lead to death from respiratory failure within 3–5 years after the onset of this disease. Nowadays, no drug can effectively slow down the progression of this disease. High-calorie therapy, an emerging complementary alternative treatment, has been reported in studies to prolong the survival time of patients, prevent muscle atrophy and provide a better prognosis. However, no systematic review and meta-analysis were performed to summarize the evidence of this therapy. This meta-analysis comprehensively evaluates the effectiveness and safety of high-calorie therapy for treating ALS. Methods: We searched the electronic databases from inception to 1 April 2023: PubMed, Embase, Web of Science, Cochrane Library, Scopus, Ovid/Medline, and ProQuest. Randomized controlled trials (RCTs) that met the inclusion criteria were performed by meta-analysis. All statistical analyses were performed in STATA software. Results: A total of six eligible RCTs were included in this meta-analysis, involving 370 ALS patients. The meta-analyses showed that high-calorie therapy had superiority in improving body weight (SMD = 1, 95% CI 0.36, 1.65) and BMI (SMD = 0.83, 95% CI 0.02, 1.63). With respect to safety, there was no difference between the high-calorie therapy and the control group regarding the number of adverse events (RR = 3.61, 95% CI 0.08, 162.49). However, ALSFRS-R scores (SMD = 0.34, 95% CI − 0.4, 1.08), survival rate (RR = 1.23, 95% CI 0.98, 1.55), and lipid profile (LDL: SMD = 0.21, 95% CI − 0.33, 0.75; HDL: SMD = 0.17, 95% CI − 0.37, 0.71; TC: SMD = 0.21, 95% CI − 0.33, 0.75), CRP (SMD = 0.85, 95% CI − 1.37, 3.06) showed no significant difference compared to the control groups. Conclusions: High-calorie therapy is effective in gaining weight and BMI with few side effects. However, no significant superiority was detected in ALSFRS-R scores, survival time, lipid profile, and CRP indicator. The overall quality of the included studies is high, and the results have some credibility, but future corroboration by high-quality RCTs is also expected. [ABSTRACT FROM AUTHOR]

Skin cutaneous melanoma (SKCM) has a low early detection rate and a high mortality rate. There are many problems such as side effects and drug resistance in existing therapeutic drugs. Current studies have confirmed that SKCM pathogenesis-related genes promote the invasion and metastasis of cutaneous melanoma, but their roles in the tumor microenvironment (TME) remain unclear. Network pharmacology provides new opportunities for drug repurposing and repositioning, and is a fast, safe, and inexpensive drug discovery method to find new drugs for the treatment of SKCM. In this study, based on 3 databases (KEGG, OMIM, and Genotype) to obtain SKCM-related genes, and TCGA SKCM dataset, SKCM differential genes in GSE3189 and GSE46517 were intersected to identify SKCM pathogenesis-related differential genes, and the differential genes were immune infiltration and analysis, For survival analysis, a prognostic nomogram risk model was constructed based on the results of multivariate Cox regression analysis for risk stratification and prognosis prediction, then focused on the differential expression of ZC3H12A and its effect on TME. Finally, the protein interaction network method was used to quantify the similarity between 684 drug targets and skin melanoma, and to screen out drugs similar to skin melanoma. Based on 3 databases of KEGG, OMIM, and Genotype, 294 SKCM-related genes and 18 SKCM pathogenesis-related differential genes were obtained, and 18 SKCM pathogenesis-related differential genes were significantly correlated with TME. The constructed prognostic nomogram risk model predicted performance better and provided valuable information for immunotherapy. Multivariate Cox regression analysis and K-M analysis showed that ZC3H12A was a differentially expressed gene affecting the prognosis of SKCM and promoted the infiltration of anti-tumor immune cells CD8 + T cells, B cells, and DC cells. Based on the analysis of the protein interaction network method, 43 drugs were found to have high potential in the treatment of SKCM, and the literature search of these 43 drugs was carried out, and 21 drugs were found to have experimental verification for the treatment of SKCM. Taken together, the differential genes associated with the pathogenesis of SKCM have important roles in the tumor immune microenvironment, clinicopathological features, and prognosis, especially ZC3H12A has a potential role in identifying early SKCM patients. At the same time, it provides a new strategy for the drug development of SKCM and provides a basis for the reuse of SKCM drugs. [ABSTRACT FROM AUTHOR]

Although mRNA vaccines are known as potent activators of antigen-specific immune responses against infectious diseases, limited understanding of how they drive the functional commitment of CD8+ T cells in tumor microenvironment (TME) and secondary lymphoid organs hinders their broader application in cancer immunotherapy. Here, we systematically evaluated the immunological effects of a lipid nanoparticle (LNP)-encapsulated mRNA vaccine that encodes human papillomavirus E7 protein (HPV mRNA-LNP), a tumor-specific antigen of HPV-positive oropharyngeal squamous cell carcinoma (OPSCC). HPV mRNA-LNP vaccination activated overall and HPV-specific CD8+ T cells, as well as differentially drove the functional commitment of CD8+ T cells through distinct IFN-response and exhaustion trajectories in the spleen and TME, respectively. Combination therapies of HPV mRNA-LNP vaccination with immune checkpoint blockades boosted HPV-specific CD8+ T cells while maintaining their anti-tumor function, thus further promoting tumor regression. Our results showed that the HPV mRNA-LNP vaccination combined with immune checkpoint blockade is a promising approach for immunotherapy of HPV-positive OPSCC. [ABSTRACT FROM AUTHOR]

Objective: Acute kidney injury (AKI) seriously affects the health of both pregnant women and fetuses. This study aimed to investigate the clinical characteristics and prognosis of pregnancy-related AKI (PR-AKI). Methods: This case series study enrolled pregnant women with PR-AKI admitted to the surgical intensive care unit of Xinhua Hospital affiliated to Shanghai Jiaotong University School of Medicine between January 2010 and December 2020. Results: Thirty-one PR-AKI patients were enrolled with a mean age of 29.16 ± 4.97 years. Seventeen pregnant women (54.84%) had complete recovery of renal function, 5 (16.13%) had partial recovery of renal function, 2 (6.45%) patients had no renal function improvement, and 7 (22.58%) died. Among the 31 patients with 35 fetuses, 25 (80.6%) pregnant women had poor fetal outcomes, including 5 cases of stillbirths, 5 neonatal asphyxia, 18 premature births, 10 low birth weight, and 8 deficient birth weight infants. Compared to cases with good fetal outcomes, cases with poor fetal outcomes had significantly shorter gestational weeks (39.26 ± 1.53 vs. 31.62 ± 5.50, P = 0.002), lower platelet count (217.13 ± 122.87 vs. 90.24 ± 84.88, P = 0.005), lower hemoglobin (94.19 ± 13.21 vs. 74.48 ± 20.78, P = 0.036), higher blood urea nitrogen (11.87 ± 4.28 vs. 19.47 ± 10.98, P = 0.013), and higher uric acid (262.41 ± 167.00 vs. 586.87 ± 144.52, P < 0.001). Conclusions: The maternal renal function of women with PR-AKI might improve after treatment, but occurrence rates of adverse fetal outcomes were still high. [ABSTRACT FROM AUTHOR]

This paper proposes a new idea and method which is to use configuration mechanics to describe the evolution of complex microstructures and multiple defects such as discontinuity, heterogeneity and anisotropy in the borehole rock under the coupling of mechanics and chemistry. It is used to deal with the evolution of complex microstructures and multiple defects in the borehole rock that are difficult to deal with in the traditional fracture mechanics and damage mechanics of the continuum theory. The two-dimensional/three-dimensional M-integral is numerically calculated using the domain integration method, and the material failure criterion based on configuration force and conservation integral is used to calculate the shale lining fracture pressure. The results show that the calculation results can better predict the fracture pressure. It shows that the established multi-field coupling borehole rupture pressure model based on the M-integral of configuration mechanics can provide a theoretical reference for the complex formation stability under multi-field coupling and the wellbore stability control during field operations. [ABSTRACT FROM AUTHOR]

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Based on the two-band Bogoliubov–de Gennes theory, we study the boundary effect of an interface between a two-gap superconductor and an insulator (or vacuum). New boundary terms are introduced into the two-band Ginzburg–Landau free energy, which modifies the boundary conditions for the corresponding order parameters of the superconductor. A microscopic analysis of these terms is also given and the characteristic length scale of the boundary effect can be estimated. The theory allows for a simple calculation of the critical temperature suppression with the decrease in film thickness for the typical two-band superconductor magnesium diboride. Our numerical results are in good agreement with the experimental data observed in this material. [ABSTRACT FROM AUTHOR]

The U6 promoter, a typical RNA polymerase III promoter, is widely used to transcribe small RNAs in vector-based siRNA systems. The RNAi efficiency is mainly dependent on the transcriptional activity of the U6 promoter. However, studies have found that U6 promoters isolated from some fishes do not work well in distantly related species. To isolate a U6 promoter with high transcriptional efficiency from fish, in this study, we cloned five U6 promoters in orange-spotted grouper, of which only the grouper U6-1 (GU6-1) promoter contains the OCT element in the distant region. Functional studies revealed that the GU6-1 promoter has high transcriptional ability, which could efficiently transcribe shRNA and result in target gene knockdown in vitro and in vivo. Subsequently, the deletion or mutation of the OCT motif resulted in a significant decrease in promoter transcriptional activity, demonstrating that the OCT element plays an important role in enhancing the grouper U6 promoter transcription. Moreover, the transcriptional activity of the GU6-1 promoter showed little species specificity. It not only works in the grouper but also possesses high transcriptional activity in the zebrafish. Knockdown of the mstn gene in zebrafish and grouper through shRNA driven by the GU6-1 promoter could promote fish growth, suggesting that the GU6-1 promoter can be used as a potential molecular tool in aquaculture practice. [ABSTRACT FROM AUTHOR]

In this paper, we present Emotion-Aware Music Driven Movie Montage, a novel paradigm for the challenging task of generating movie montages. Specifically, given a movie and a piece of music as the guidance, our method aims to generate a montage out of the movie that is emotionally consistent with the music. Unlike previous work such as video summarization, this task requires not only video content understanding, but also emotion analysis of both the input movie and music. To this end, we propose a two-stage framework, including a learning-based module for the prediction of emotion similarity and an optimization-based module for the selection and composition of candidate movie shots. The core of our method is to align and estimate emotional similarity between music clips and movie shots in a multi-modal latent space via contrastive learning. Subsequently, the montage generation is modeled as a joint optimization of emotion similarity and additional constraints such as scene-level story completeness and shot-level rhythm synchronization. We conduct both qualitative and quantitative evaluations to demonstrate that our method can generate emotionally consistent montages and outperforms alternative baselines. [ABSTRACT FROM AUTHOR]

The effects of the addition of Cu foam on the microstructure and mechanical properties of Cu/Sn-3.0Ag-0.5Cu/Cu solder joints bonded with solid–liquid electromigration were investigated. Different bonding time (10, 30, 60 and 120 min) and current densities (0, 3.33 × 102 and 6.67 × 102 A/cm2) were applied to explore the optimal bonding conditions. The results indicated that the Cu foam as a barrier layer in the solder could effectively hinder the migration of Cu atoms. For the solder joints with Cu foam addition, the growth of the anodic intermetallic compounds (IMCs) became slow, the grains of the interfacial IMCs were apparently smaller, and the polarity effect was suppressed. The presence of Cu foam increased the tensile strength and improved the reliability of solder joints at the low current density (0 and 3.33 × 102 A/cm2). However, the tensile strength decreased sharply to 34.16 MPa after bonding for 120 min and the fracture mode changed from ductile fracture to brittle fracture at the high current density (6.67 × 102 A/cm2). Therefore, the addition of Cu foam was ineffective in improving the reliability at high current densities. [ABSTRACT FROM AUTHOR]

Nasopharyngeal carcinoma (NPC) is a serious and highly invasive epithelial malignancy that is closely associated with Epstein—Barr virus (EBV). Due to the lack of therapeutic vaccines for NPC, we selected EBV latent membrane protein 2 (LMP2) as a preferable targeting antigen to develop a lipid-based LMP2-mRNA (mLMP2) vaccine. Full-length mLMP2 expressing LMP2 was first synthesized using an in vitro transcription method and then encapsulated into (2,3-dioleacyl propyl) trimethylammonium chloride (DOTAP)-based cationic liposomes to obtain the mRNA vaccine (LPX-mLMP2). The cell assays showed that the antigen-presenting cells were capable of highly efficient uptake of LPX-mLMP2 and expression of LMP2. LMP2 could subsequently be presented to form the peptide-major histocompatibility complex (pMHC). Furthermore, LPX-mLMP2 could accumulate in the spleen, express antigens, promote the maturation of dendritic cells and stimulate antigen-specific T-cell responses in vivo. It dramatically inhibited the tumor growth of the LMP2-expressing tumor model after three doses of vaccination. Additionally, the proliferation of antigen-specific T cells in the tumor site made a good sign for the promise of mRNA vaccines in virus-induced cancer. Overall, we provided a newly developed antigen-encoding mRNA vaccine with advantages against NPC. We also demonstrated that mRNA vaccines are attractive candidates for cancer immunotherapy. [ABSTRACT FROM AUTHOR]

Fully homomorphic encryption allows to perform arbitrary computation over encrypted data which has great practical implications in the secure outsourced computation on an untrusted computation environment. This paper investigates secure matrix multiplication based on fully homomorphic encryption. We propose an efficient secure matrix multiplication scheme for arbitrary matrix such as A m × l × B l × n based on the hypercube structure. Our proposal is the first single-ciphertext and composable secure matrix multiplication scheme for arbitrary matrix based on fully homomorphic encryption. Our scheme takes only l homomorphic multiplications and experimental results show that it has excellent performance for the matrices of different dimensions. [ABSTRACT FROM AUTHOR]

Artificial soft actuators, featured with non-equilibrium internal circumstance and fast, programmable shape transformations, have attracted strong research interest recently due to their flexibility, highly controllable, and designability. However, wireless soft actuators, achieving the locomotion on different large slopes with multiple energy conversion, have been rarely reported. Herein, we create a asymmetric bilayer strategy to construct autonomous soft crawler via "breathing" moisture to motivate the mechanical deformation. The soft crawlers present conspicuous performances including periodic tumbler locomotion predicted via improved Timoshenko's equation, multiple reversible shape-morphing (circle, helix, despiralization, etc.) determined by their fiber orientation, controlled drive mode (front drive and rear drive) and rapid climb speed (4.76 cm/min) at wide slope angles. Through architecture design, they can be series-wound or shunt-wound to construct multi-joint complex actuators. Besides climbing, a intelligent soft ring-pull with admirable cycle performance for preventing overheating or something untouchable, has been proposed. The soft crawlers also realize multiple energy conversion to be actuated by light irradiation. We envision that this soft crawler system has an enormous potential in intelligent machine, microscopic diagnosis and treatment, biosensing, energy harvesting and conversion. [ABSTRACT FROM AUTHOR]

To achieve a breakthrough in the application of cold caustic extraction, it is necessary to limit the amount of alkali and to dissolve the hemicelluloses sufficiently. A NaOH/ZnO aqueous solution system was used to separate hemicelluloses from bleached bamboo pulp efficiently and selectively. The NaOH/ZnO process proved to be more successful in the removal of hemicelluloses. Under the conditions of 0.5% ZnO concentration, the NaOH/ZnO aqueous solution system decreased the hemicelluloses content to 4.99%, which was lower than 7.46% of the control sample treated with NaOH alone at the same 7% NaOH concentration. Correspondingly, the NaOH/ZnO system led to an increase in alpha-cellulose content with significantly improved hemicelluloses removal efficiency and selectivity. As a result of the NaOH/ZnO process, a higher degree of polymerization was observed, and the cellulose I structure was always maintained, which provided good benefits for the subsequent utilization of cellulose. [ABSTRACT FROM AUTHOR]

Salivary elicitors secreted by herbivorous insects can be perceived by host plants to trigger plant immunity. However, how insects secrete other salivary components to subsequently attenuate the elicitor-induced plant immunity remains poorly understood. Here, we study the small brown planthopper, Laodelphax striatellus salivary sheath protein LsSP1. Using Y2H, BiFC and LUC assays, we show that LsSP1 is secreted into host plants and binds to salivary sheath via mucin-like protein (LsMLP). Rice plants pre-infested with dsLsSP1-treated L. striatellus are less attractive to L. striatellus nymphs than those pre-infected with dsGFP-treated controls. Transgenic rice plants with LsSP1 overexpression rescue the insect feeding defects caused by a deficiency of LsSP1 secretion, consistent with the potential role of LsSP1 in manipulating plant defenses. Our results illustrate the importance of salivary sheath proteins in mediating the interactions between plants and herbivorous insects. Salivary elicitors secreted by herbivorous insects can be perceived by host plants to trigger plant immunity. Here, the authors show that the small brown planthopper salivary sheath protein LsSP1 binds to salivary sheath proteins and contributes to insect feeding by manipulating rice plant defenses. [ABSTRACT FROM AUTHOR]