Soy protein nanoparticles prepared by enzymatic cross-linking with enhanced emulsion stability.

Particle-stabilized emulsions have shown increasing potential application in food emulsion systems. Here, soy protein, an abundant and inexpensive plant-based protein, was used to develop nanoparticles for emulsion stabilizer applications. An enzymatic cross-linking method based on microbial transglutaminase (mTG) was developed for the fabrication of soy protein nanoparticles (SPNPs). The emulsion stability was compared between soy protein isolate (SPI) and three different nanoparticles. The size of SPNPs ranged from 10 nm to 40 nm, depending on the production conditions. The emulsions stabilized by SPNPs were stable for at least 20 days at room temperature, whereas the emulsion that was stabilized by SPI showed a significant creaming and phase separation phenomenon. The SPNPs also showed a higher antioxidant and reducing effect compared to SPI. The use of mTG induced cross-linking resulted in the formation of covalent bonding between protein molecules, and led to the formation of nanoparticles with higher stability. The approaches support the utilization of inexpensive and abundant plant-based resources as emulsion stabilizers in food applications.

Spot Detection for Laser Sensors Based on Annular Convolution Filtering.

Spot detection has attracted continuous attention for laser sensors with applications in communication, measurement, etc. The existing methods often directly perform binarization processing on the original spot image. They suffer from the interference of the background light. To reduce this kind of interference, we propose a novel method called annular convolution filtering (ACF). In our method, the region of interest (ROI) in the spot image is first searched by using the statistical properties of pixels. Then, the annular convolution strip is constructed based on the energy attenuation property of the laser and the convolution operation is performed in the ROI of the spot image. Finally, a feature similarity index is designed to estimate the parameters of the laser spot. Experiments on three datasets with different kinds of background light show the advantages of our ACF method, with comparison to the theoretical method based on international standard, the practical method used in the market products, and the recent benchmark methods AAMED and ALS.

Seasonal variation and sources of atmospheric polycyclic aromatic hydrocarbons in a background site on the Tibetan Plateau.

The study of atmospheric polycyclic aromatic hydrocarbons (PAHs) in northeastern Tibetan Plateau with fragile ecological environment and complex atmospheric circulation system is blank. To understand the characteristics and sources of persistent organic pollutants in the atmosphere of the northeastern Tibetan Plateau, we monitored levels in the central Qilian Mountain. From 2016 to 2017, we collected 45-pair (particle + gas) samples using active air samplers to investigate the sources, transport paths, and their influencing factors. Sources of PAHs were analysed with a source diagnostic model, and atmospheric transport paths were calculated. The concentration range for ∑15PAHs was 439-4666 pg/m3, and the average was 2015 pg/m3. The PAHs in central Qilian Mountain are mainly low molecular weight (LMW) PAHs. Winter concentrations of PAHs were higher than those in summer. The transport of PAHs is mainly affected by westerlies, and there are seasonal differences. Source analysis showed that PAHs mainly came from coal and biomass combustion and vehicle emissions, with seasonal differences. This study clarifies the concentration and seasonal variation of PAHs in the northern Tibetan Plateau, which is conducive to understanding the atmospheric transport process and fate of pollutants. The background site of Qilian Mountains located in the Silk Road economic belt has the value and significance of long-term observation of pollutants.

Chloride intercellular channel 3 suppression-mediated macrophage polarization: a potential indicator of poor prognosis of hepatitis B virus-related acute-on-chronic liver failure.

Patients with hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) are characterized by immune paralysis and susceptibility to infections. Macrophages are important mediators of immune responses can be subclassified into two main phenotypes: classically activated and alternatively activated. However, few studies have investigated changes to macrophage polarization in HBV-related liver diseases. Therefore, we investigated the functional status of monocyte-derived macrophages (MDMs) from patients with mild chronic hepatitis B (n = 226), HBV-related compensated cirrhosis (n = 36), HBV-related decompensated cirrhosis (n = 40), HBV-ACLF (n = 62) and healthy controls (n = 10), as well as Kupffer cells (KCs) from patients with HBV-ACLF (n = 3). We found that during the progression of HBV-related liver diseases, the percentage of CD163+ CD206+ macrophages increased, while the percentage of CD80+ human leukocyte antigen-DR+ macrophages decreased significantly. MDMs and KCs mainly exhibited high CD163+ CD206+ expression in patients with HBV-ACLF, which predicted poor clinical outcome and higher liver transplantation rate. Transcriptome sequencing analysis revealed that chloride intracellular channel-3 (CLIC3) was reduced in patients with HBV-ACLF, indicating a poor prognosis. To further study the effect of CLIC3 on macrophage polarization, human monocytic THP-1 cell-derived macrophages were used. We found that classical and alternative macrophage activation occurred through nuclear factor kappa B (NF-κB) and phosphoinositide 3-kinase/protein kinase B pathways, respectively. CLIC3 suppression inhibited NF-κB activation and promoted the alternative activation. In conclusion, macrophage polarization gradually changed from classically activated to alternatively activated as HBV-related liver diseases progressed. Both CLIC3 suppression and increased alternatively activated macrophage percentage were potential indicators of the poor prognosis of patients with HBV-ACLF.

Severe contralateral carotid stenosis or occlusion drive 30-day risk after carotid endarterectomy.

OBJECTIVES: The significant effects on the treatment of severe carotid stenosis by carotid endarterectomy have been widely recognized. However, it is controversial whether patients with severe contralateral carotid stenosis or occlusion (SCSO) can benefit from carotid endarterectomy surgery. This study aimed to estimate the SCSO effects on early outcomes after carotid endarterectomy with selective shunting. METHODS: Between August 2011 and October 2019, a total of 617 patients who underwent carotid endarterectomy with selective shunting were analyzed. SCSO was defined as >70% luminal narrowing of the contralateral extracranial carotid stenosis or occlusion. Of these patients, 116 were categorized into an SCSO group while the rest were assigned to the non-SCSO group. Primary study outcomes were the occurrence of major adverse events, defined as stroke, all-cause mortality, and myocardial infarction during the perioperative period after carotid endarterectomy. Traditional multivariable logistic regression model and logistic regression model adjusted for propensity scores were used to estimate the SCSO effects on primary outcomes. Interaction and stratified analyses were conducted according to age, sex, comorbidities (hypertension, diabetes), preoperative neurological deficit, preoperative symptoms, and shunt use. RESULTS: Mean age was 68.5 ± 9.2 years (86.1% men). Overall major adverse events rate within 30 days was 2.5%. Major adverse events rates in SCSO and non-SCSO groups were 9.5% and 1.6%, respectively. This difference was statistically significant (p < 0.001). In multivariable regression analysis, patients with SCSO had a higher risk of major adverse events (non-SCSO vs. SCSO: aOR 5.05 [95% CI, 1.78-14.55]). In 342 propensity score matched patients, results were consistent (propensity score: aOR, 3.78 [95% CI, 1.13-12.64]). CONCLUSIONS: SCSO is an independent predictor of 30-day major adverse events. Whether these patients with SCSO are suitable for carotid endarterectomy should be carefully considered.

Altered life history traits and transcripts of molting- and reproduction-related genes by cadmium in Daphnia magna.

Cadmium (Cd) is a non-essential element and can be toxic to aquatic organisms at low concentrations. Despite its well-known toxicity to Daphnia magna, the effects of Cd on physiological parameters (heart rate and thoracic limb activity) and molting- and reproduction-related genes are relatively understudied. In this study, D. magna were exposed to 0 (control), 25, 50 and 75 µg L-1 of Cd for 7 d and 21 d to determine the toxicity of Cd. The results showed that the Cd body burden in D. magna was significantly increased with elevated Cd concentrations, up to 13.4 µg Cd/g dry weight (dw) after exposure to 75 µg L-1 for 21 d. After 21 d of exposure, the body length and body weight of D. magna were significantly decreased in all Cd treatments compared to the control. The heart rate and thoracic limb activity were reduced by 4.3-11.7 and 5.0-10.3%, respectively. The levels of malondialdehyde (MDA) were increased by ~24-37% and the activity of catalase (CAT) was inhibited by ~50% compared to the control. The reproductive parameters (i.e., size of the first brood, the total number of offspring per female and the number of offspring per brood) were remarkably reduced, causing adverse effects on the population dynamics. In addition, the transcripts of genes (cyp314, cyp18a1, ecra, usp, hr3, cut, cht and cht3) related to the molting of D. magna were altered, whereas the transcripts of genes (vtg1, vtg2 and vmo1) related to reproduction were down-regulated. This study helps better understand the effects of Cd at different biological levels.

Identification of Hair Growth Promoting Components in the Kernels of Prunus mira Koehne and Their Mechanism of Action.

The application of the seed oil of Prunus mira Koehne (Tibetan name ཁམབུ།), a plant belonging to the Rosaceae family, for the treatment of alopecia has been recorded in Jingzhu Materia Medica (ཤེལ་གོང་ཤེལ་ཕྲེང་།) (the classic of Tibetan medicine) and Dictionary of Chinese Ethnic Medicine. This study aims to reveal the effective components and mechanism of hair growth promotion in the kernel of Prunus mira Koehne. Network pharmacology was used to predict the mechanism of action and effective components in the treatment of the kernel of Prunus mira Koehne. The contents of amygdalin in 12 batches of the kernel of Prunus mira Koehne were determined by HPLC. An animal model of the depilation of KM mice induced by sodium sulfide was created, and five effective components that promoted hair growth were initially screened. In the study of the effectiveness and mechanism of action, KM and C57BL/6 mice are selected as experimental objects, three screening tests for active components of the kernel of P. mira are performed, and three effective components are screened out from the eight components. HE staining was used to detect the number of hair follicles and the thickness of the dermis. RT-PCR and immunohistochemistry were used to evaluate the influence of the expression of indicators in the Wnt/ß-catenin signaling pathway in skin, including ß-catenin, GSK-3ß, and mRNA and protein expression levels of Cyclin D 1 and LEF 1. The network pharmacology study showed 12 signaling pathways involving 25 targets in the treatment of alopecia by the kernel of Prunus mira Koehne. vitamin E (3.125 mg/cm2/d), ß-sitosterol (0.061 mg/cm2/d), and linoleic acid (0.156 mg/cm2/d) in the kernel of Prunus mira Koehne can promote hair growth in mice, and the mechanism of action may be related to the Wnt/ß-catenin pathway.

The effects of YKL-40 on angiogenic potential of HUVECs are partly mediated by syndecan-4.

Background: YKL-40, a secreted glycoprotein, has a role in promoting tumor angiogenesis through syndecan-1 receptor. Syndecan-4 is a member of syndecan family. However, the effects of YKL-40 on migration and tube formation of human umbilical vein cells (HUVECs) mediated by syndecan-4 receptor are unknown. Materials and methods: HUVECs were transfected with lentivirus encoding syndecan-4 short hairpin (sh) RNAs (lenti-synd4 shRNAs) and the efficiency of transfection was measured using qRT-PCR and western blotting. The effects of recombinant protein of YKL-40 on migration and angiogenesis of HUVECs adjusted by syndecan-4 were determined by wound healing and tube formation assay. The expressions of protein kinase Cα (PKCα) and extracellular signal regulated kinases (ERKs) 1 and 2 (ERK1/2) in HUVECs were measured using western blotting. Results: The mRNA and protein expression of syndecan-4 were significantly decreased in HUVECs successfully transfected with lenti-synd4 shRNAs. Lenti-synd4 shRNAs remarkably inhibited the migration and tube formation of HUVECs stimulated by recombinant protein of YKL-40. The levels of PKCα and ratio of p-ERK1/2 to ERK1/2 in HUVECs were also decreased by down-regulating syndecan-4. Conclusion: The effects of YKL-40 on migration and tube formation of HUVECs are partly inhibited by knock-downing syndecan-4 through suppressing PKCα and ERK1/2 signaling pathways.

Poor Neurological Deficit Was an Independent 30-day Risk Factor in Symptomatic Carotid Stenosis after CEA with Selective Shunting.

BACKGROUND: Carotid endarterectomy (CEA) prevents the occurrence of stroke in the future, although its efficacy depends on the detection and control of high perioperative risk factors. We aimed to analyze the association between preoperative neurological deficit and the 30-day risk of major adverse cardiovascular events (MACEs) in CEA with selective shunting for symptomatic carotid stenosis. METHODS: We assessed 653 patients who underwent CEA with selective shunting for symptomatic carotid stenosis between August 2011 and August 2019. The primary outcomes of the study were the occurrence of MACEs, defined as stroke (ischemic stroke or cerebral hemorrhage), all-cause mortality, and myocardial infarction during the perioperative period after CEA. Baseline patient characteristics were analyzed to identify factors associated with perioperative (<30 days) MACEs. Multivariable logistic regression models were used to estimate the association between preoperative modified Rankin Scale (mRS) and the 30-day risk of MACEs. Interaction and stratified analyses were conducted according to age, drinking, history of hypertension and coronary artery disease, and surgical side. RESULTS: The mean age of patients was 68.7 ± 9.1 years, and 86.4% were men. The 30-day MACEs rate was 2.5%. In univariate logistic regression, histories of coronary artery disease (odds ratio (OR), 2.57 [95% confidence interval (CI), 1.04-6.34]), a severe contralateral carotid stenosis or occlusion (OR, 4.52 [95% CI, 1.84-11.11]), and a poor neurological deficit (mRS ≥ 3 versus mRS < 3: OR, 3.78 [95% CI, 1.21-11.82]) were associated with higher primary outcome rates. A history of hypertension did not increase the risk of MACEs (OR, 0.37 [95% CI, 0.15-0.89]). In the multivariable regression analysis, poor neurological deficit was associated with a higher risk of the MACEs within 30 days (mRS ≥ 3 versus mRS < 3: 11.1% vs. 2.0%, adjusted OR 5.70 [95% CI, 1.50-21.60]). The interaction analysis revealed no interactive role in the association between neurological deficit and 30-day risk of MACEs. CONCLUSIONS: Poor neurological deficit was an independent risk factor associated with the 30-day risk of MACEs in symptomatic patients who underwent CEA with selective shunting. Our findings may provide guidance to surgeons when treating patients with poor neurological deficit. The decision to perform surgery should be made after careful consideration.

Soil Properties and Microbial Diversity at the Frontier of Laohugou Glacier Retreat in Qilian Mountains.

Glacier retreat may result in the decomposition of old organic carbon stored at the frontier of glacier retreat and the release of greenhouse gases such as CO2 and methane into the atmosphere. This process may gradually transform the soil in the region from its original status as a carbon sink into a carbon source, thus producing a positive feedback effect on global warming. In this study, Laohugou Glacier No. 12, Qilian Mountains, China, was taken as the research object, and the newly melted soil (Q1) at the frontier of glacier retreat and the sandy soil (Q2) on the bank of the nearby river were collected. The content of accumulation of organic matter (AOM) in Q1 soil was 5.56 ± 0.27 g/kg, and the total nitrogen was 0.60 ± 0.03 g/kg, which was significantly higher than that in Q2. The soil microbial carbon metabolism of Q2 was significantly (P < 0.01) higher than that of Q1 and the ability of organic matter to decompose was greater. The alpha diversity index of bacteria, fungi and archaea of Q2 was significantly higher than that of Q1. It may be that there were dominant species in Q1 causing the lower species evenness. The archaea metabolic function genes in Q1 were higher than those in Q2 because archaea are better adapted to a frozen environment. Bacterial carbohydrate and amino acid metabolism was abundant in Q2 and was related to microbial transformation of the carbon source into CO2.

Baseflow estimation for catchments in the Loess Plateau, China.

Baseflow is the portion of streamflow that originates from groundwater. It is pivotal to groundwater supply as well as the interactions between groundwater and surface water. In the Loess Plateau of China, the baseflow plays a fundamental role in sustaining the aquatic ecosystem. Rational estimation of baseflow is of critical importance for understanding the functioning of the groundwater system and informing management of regional water resources. In this study, a two-well parameterised digital filter was used to separate baseflow from observed daily total streamflow on the Weihe River Basin. Two parameters (maximum baseflow index (BFImax) and the recession constant) of this filter were estimated using UKIH and a recession analysis with physical meaning, respectively. The results show that the baseflow index increased from the upstream to downstream (0.27-0.32) of the Weihe River, and the baseflow of the river is summer dominant. In general, the baseflow has been increasing gradually owing to the implementation of soil conservation measures. This study provides an understanding of baseflow response to seasonal variability and water environmental management in basin scale.

Metal-Organic-Framework-Derived Carbons: Applications as Solid-Base Catalyst and Support for Pd Nanoparticles in Tandem Catalysis.

The facile pyrolysis of a bipyridyl metal-organic framework, MOF-253, produces N-doped porous carbons (Cz-MOF-253), which exhibit excellent catalytic activity in the Knoevenagel condensation reaction and outperform other nitrogen-containing MOF-derived carbons. More importantly, by virtue of their high Lewis basicity and porous nature, Cz-MOF-253-supported Pd nanoparticles (Pd/Cz-MOF-253-800) show excellent performance in a one-pot sequential Knoevenagel condensation-hydrogenation reaction.

Melatonin inhibits paraquat-induced cell death in bovine preimplantation embryos.

Preimplantation embryos are sensitive to oxidative stress-induced damage that can be caused by reactive oxygen species (ROS) originating from normal embryonic metabolism and/or the external surroundings. Paraquat (PQ), a commonly used pesticide and potent ROS generator, can induce embryotoxicity. The present study aimed to investigate the effects of melatonin on PQ-induced damage during embryonic development in bovine preimplantation embryos. PQ treatment significantly reduced the ability of bovine embryos to develop to the blastocyst stage, and the addition of melatonin markedly reversed the developmental failure caused by PQ (20.9% versus 14.3%). Apoptotic assay showed that melatonin pretreatment did not change the total cell number in blastocysts, but the incidence of apoptotic nuclei and the release of cytochrome c were significantly decreased. Using real-time quantitative polymerase chain reaction analysis, we found that melatonin pre-incubation significantly altered the expression levels of genes associated with redox signaling, particularly by attenuating the transcript level of Txnip and reinforcing the expression of Trx. Furthermore, melatonin pretreatment significantly reduced the expression of the pro-apoptotic caspase-3 and Bax, while the expression of the anti-apoptotic Bcl-2 and XIAP was unaffected. Western blot analysis showed that melatonin protected bovine embryos from PQ-induced damage in a p38-dependent manner, but extracellular signal-regulated kinase (ERK) and c-JUN N-terminal kinase (JNK) did not appear to be involved. Together, these results identify an underlying mechanism by which melatonin enhances the developmental potential of bovine preimplantation embryos under oxidative stress conditions.

Novel biomarker pipeline to probe the oxidation sites and oxidation degrees of hemoglobin in bovine erythrocytes exposed to oxidative stress.

Research on biomarkers for protein oxidation might give insight into the mechanistic mode of oxidative stress. In the work present here, a novel pipeline was established to probe the oxidation mechanism of bovine hemoglobin (Hb) with its oxidation products serving as the biomarkers. Reactive oxygen species generated by irradiation were used to mimic oxidative stress conditions to oxidize Hb in bovine erythrocytes. After Hb extraction and digestion, oxidized peptides in the tryptic fragments were assigned by comparison with the extracted ion chromatography spectra of native peptide from the control sample. Subsequent tandem mass spectrometry analysis of these peptides proved that oxidation was limited to partially exposed amino acid residues (α-Phe36 , ß-Met1 , ß-Trp14 , for instance) in Hb. Quantitation analysis on these oxidized peptides showed that oxidation degrees of target sites had positive correlations with the extended oxidation dose and the oxidation processes were also controlled by residues types. Compared with the conventional protein carbonyl assay, the identified oxidized products were feasibility biomarkers for Hb oxidation, indicating that the proposed biomarker pipeline was suitable to provide specific and valid information for protein oxidation. Copyright © 2015 John Wiley & Sons, Ltd.

Uncovering periodontitis-associated markers through the aggregation of transcriptomics information from diverse sources.

Introduction: Periodontitis, a common chronic inflammatory disease, significantly impacted oral health. To provide novel biological indicators for the diagnosis and treatment of periodontitis, we analyzed public microarray datasets to identify biomarkers associated with periodontitis. Method: The Gene Expression Omnibus (GEO) datasets GSE16134 and GSE106090 were downloaded. We performed differential analysis and robust rank aggregation (RRA) to obtain a list of differential genes. To obtain the core modules and core genes related to periodontitis, we evaluated differential genes through enrichment analysis, correlation analysis, protein-protein interaction (PPI) network and competing endogenous RNA (ceRNA) network analysis. Potential biomarkers for periodontitis were identified through comparative analysis of dual networks (PPI network and ceRNA network). PPI network analysis was performed in STRING. The ceRNA network consisted of RRA differentially expressed messenger RNAs (RRA_DEmRNAs) and RRA differentially expressed long non-coding RNAs (RRA_DElncRNAs), which regulated each other's expression by sharing microRNA (miRNA) target sites. Results: RRA_DEmRNAs were significantly enriched in inflammation-related biological processes, osteoblast differentiation, inflammatory response pathways and immunomodulatory pathways. Comparing the core ceRNA module and the core PPI module, C1QA, CENPK, CENPU and BST2 were found to be the common genes of the two core modules, and C1QA was highly correlated with inflammatory functionality. C1QA and BST2 were significantly enriched in immune-regulatory pathways. Meanwhile, LINC01133 played a significant role in regulating the expression of the core genes during the pathogenesis of periodontitis. Conclusion: The identified biomarkers C1QA, CENPK, CENPU, BST2 and LINC01133 provided valuable insight into periodontitis pathology.

PMBC: a manually curated database for prognostic markers of breast cancer.

Breast cancer is notorious for its high mortality and heterogeneity, resulting in different therapeutic responses. Classical biomarkers have been identified and successfully commercially applied to predict the outcome of breast cancer patients. Accumulating biomarkers, including non-coding RNAs, have been reported as prognostic markers for breast cancer with the development of sequencing techniques. However, there are currently no databases dedicated to the curation and characterization of prognostic markers for breast cancer. Therefore, we constructed a curated database for prognostic markers of breast cancer (PMBC). PMBC consists of 1070 markers covering mRNAs, lncRNAs, miRNAs and circRNAs. These markers are enriched in various cancer- and epithelial-related functions including mitogen-activated protein kinases signaling. We mapped the prognostic markers into the ceRNA network from starBase. The lncRNA NEAT1 competes with 11 RNAs, including lncRNAs and mRNAs. The majority of the ceRNAs in ABAT belong to pseudogenes. The topology analysis of the ceRNA network reveals that known prognostic RNAs have higher closeness than random. Among all the biomarkers, prognostic lncRNAs have a higher degree, while prognostic mRNAs have significantly higher closeness than random RNAs. These results indicate that the lncRNAs play important roles in maintaining the interactions between lncRNAs and their ceRNAs, which might be used as a characteristic to prioritize prognostic lncRNAs based on the ceRNA network. PMBC renders a user-friendly interface and provides detailed information about individual prognostic markers, which will facilitate the precision treatment of breast cancer. PMBC is available at the following URL: http://www.pmbreastcancer.com/.

Cranial reconstruction with titanium clamps in frontal comminuted depressed skull fractures.

OBJECTIVE: Frontal comminuted depressed skull fractures need special attention due to complications and aesthetics. The optimal method of reconstruction and fixation of frontal bone fragments remains a matter of discussion. We explored the advantages of reconstruction of frontal bone with titanium clamps. PATIENTS AND METHODS: From May 2007 to September 2011, we performed 18 craniotomies with titanium clamps to fix the cranial fragments. On the beginning of craniotomy, single-window craniotomy (n = 11) and 2-window craniotomy (n = 9) were designed. After dural closure and frontobasal reconstruction, these fragments were fixed with titanium clamps. A helical CT scan was obtained after operation and a 3-dimensional technique was performed to evaluate the postoperative results. RESULTS: The CranioFix titanium clamp system was applied in 18 patients. No intraoperative and postoperative complications related to clamps were observed. The number of bone fragments ranged from 2 to 5 (average 3.3 pieces) while the number of clamps ranged from 3 to 8 (average 5.8). The time of refixation ranged from 5 to 17 minutes with an average of 9.4 minutes. Obvious statistical significance (P = 0.015) was found in postoperative CT scan results between single-window group and 2-window group, although it is not statistically different in intraoperative subjective valuation (P > 0.05). In all 18 cases, the alignment of fragments was precise, the fixation rigid, and the aesthetic result satisfying. CONCLUSIONS: Reconstruction of the forehead by refixation of bone fragments with titanium clamps in frontal depressed skull fractures is safe and suitable. This technique promises to be a good alternative in the repair of frontal comminuted depressed skull fractures. The simplicity, reliable fixation, and fast handling are its prominent features.

Robust to Rank Selection: Low-Rank Sparse Tensor-Ring Completion.

Tensor-ring (TR) decomposition was recently studied and applied for low-rank tensor completion due to its powerful representation ability of high-order tensors. However, most of the existing TR-based methods tend to suffer from deterioration when the selected rank is larger than the true one. To address this issue, this article proposes a new low-rank sparse TR completion method by imposing the Frobenius norm regularization on its latent space. Specifically, we theoretically establish that the proposed method is capable of exploiting the low rankness and Kronecker-basis-representation (KBR)-based sparsity of the target tensor using the Frobenius norm of latent TR-cores. We optimize the proposed TR completion by block coordinate descent (BCD) algorithm and design a modified TR decomposition for the initialization of this algorithm. Extensive experimental results on synthetic data and visual data have demonstrated that the proposed method is able to achieve better results compared to the conventional TR-based completion methods and other state-of-the-art methods and, meanwhile, is quite robust even if the selected TR-rank increases.

ASF1B, as an Independent Prognostic Biomarker, Correlates with Immune Infiltrates in Hepatocellular Carcinoma.

BACKGROUND: Hepatocellular Carcinoma (HCC) is one of the fastest-growing malignancies globally. The impact of surgical treatment is limited, and molecular targeted therapy has not yielded a consistent efficacy. This warrants for identification of novel molecular targets. The Anti- Silencing Function of 1B histone chaperone (ASF1B) was previously studied in numerous cancers. However, the understanding of its role in HCC is limited. METHODS: The TIMER database was used to analyze the ASF1B expression in pan-cancer and paracarcinoma tissues. ASF1B expression in HCC was confirmed using the HCCDB database, Quantitative real-time PCR (q-PCR), and Western Blot (WB) assays. The relationship between clinicopathological parameters and ASF1B expression was analyzed using UALCAN, whereas the prognostic value of ASF1B was evaluated using the GEPIA database. Linkedomics and cBioPortal databases were used to validate the ASF1B co-expression associated with immune infiltration by the TIMER database. Moreover, cell proliferation after ASF1B-knockdown was determined through CCK8 and clone formation assays. RESULTS: ASF1B was highly expressed in HCC tissues, and the expression levels were linked to tumor grade, race, and disease stage. Univariate and multivariate Cox models showed that ASF1B is an independent prognostic factor in HCC. CCK8 and clone formation assays demonstrated that ASF1B promotes cell proliferation. Gene co-expression analysis in Linkedomics demonstrated that HJURP, KIF2C, KIF4A, KIF18B, and KIFC1 expressions were closely associated with ASF1B and immune infiltrate cells. CONCLUSION: This study shows that ASF1B promotes the proliferation of HCC. Besides, ASF1B could be a potential prognostic biomarker for HCC patients.

Cross-modal hashing with missing labels.

Hashing-based cross-modal retrieval methods have become increasingly popular due to their advantages in storage and speed. While current methods have demonstrated impressive results, there are still several issues that have not been addressed. Specifically, many of these approaches assume that labels are perfectly assigned, despite the fact that in real-world scenarios, labels are often incomplete or partially missing. There are two reasons for this, as manual labeling can be a complex and time-consuming task, and annotators may only be interested in certain objects. As such, cross-modal retrieval with missing labels is a significant challenge that requires further attention. Moreover, the similarity between labels is frequently ignored, which is important for exploring the high-level semantics of labels. To address these limitations, we propose a novel method called Cross-Modal Hashing with Missing Labels (CMHML). Our method consists of several key components. First, we introduce Reliable Label Learning to preserve reliable information from the observed labels. Next, to infer the uncertain part of the predicted labels, we decompose the predicted labels into latent representations of labels and samples. The representation of samples is extracted from different modalities, which assists in inferring missing labels. We also propose Label Correlation Preservation to enhance the similarity between latent representations of labels. Hash codes are then learned from the representation of samples through Global Approximation Learning. We also construct a similarity matrix according to predicted labels and embed it into hash codes learning to explore the value of labels. Finally, we train linear classifiers to map original samples to a low-dimensional Hamming space. To evaluate the efficacy of CMHML, we conduct extensive experiments on four publicly available datasets. Our method is compared to other state-of-the-art methods, and the results demonstrate that our model performs competitively even when most labels are missing.