Development of an admission criterion framework for high-cost medical consumables in governmental hospitals: a systematic review.

BACKGROUND: High-cost medical consumables (HMCs) have emerged as significant economic and technological challenges for numerous national healthcare systems. Governmental hospitals play an indispensable role in many national health systems, closely linked to the evaluation of admissions and the management of procurement for HMCs. Nevertheless, many governmental hospitals face avoidable management risks due to the lack of a decision-making tool. In response, we conducted a systematic review to establishing a framework for the admission criteria of HMCs. This framework aims to enhance their effective utilization and maximize economic, clinical, and social benefits. METHODS: In accordance with a systematic review protocol developed for our study, we conducted comprehensive searches in the PubMed, Web of Science, and Embase databases to identify all correlation studies conducted prior to December 31, 2021. Subsequently, two independent reviewers performed a two-round screening process, resulting in the inclusion of 23 articles in our study. Finally, a third reviewer meticulously examined the selected indicators and contributed to the development of the final criterion framework. RESULTS: The criterion framework was established with 7 first-level indicators and 23 s-level indicators. Among the first-level indicators, "Clinical Benefit" held the highest significance, with a combined weight of 1.606, followed by "Economic Value" and "Organizational Impact" at 1.497 and 1.159, respectively. At the second level, "Safety" and "Efficacy" carried equal weight in the decision-making tool, with combined weights of approximately 1.300 each and a standard combined weight of 0.130. CONCLUSION: This admission criteria framework serves as a vital decision-making tool for managing admissions and highlights several crucial evaluation indicators. Economic considerations emerge as the principal determinant in HMCs procurement decisions. Consequently, healthcare managers and decision-makers are recommended to give precedence to value-based healthcare and evidence-based procurement practices. In the long term, governmental hospitals must grapple with the challenge of judiciously allocating limited resources to maximize both social and economic benefits.

Effect of thermal process on the key aroma components of green tea with chestnut-like aroma.

BACKGROUND: Chestnut-like aroma is one of the unique qualities of Chinese green tea and has become an important factor influencing consumer decisions. However, the chemical formation mechanism of chestnut-like aroma during green tea processing remains unclear. In this study, the dynamic changes of key components contributing to chestnut-like aroma and their precursors were analyzed in fresh leaves, fixation leaves, first baking tea leaves, and green tea. RESULTS: The thermal process had an important effect on volatile components in tea leaves, causing a significant decrease of alcohols and esters and a significant increase of ketones, acids, phenols, and sulfur compounds. Furthermore, 31 volatiles were identified as the key odorants responsible for chestnut-like aroma of green tea, including dimethyl sulfide, methyl isobutenyl ketone, 2-methylbutanal, 2,4-dimethylstyrene, d-limonene, methyl 2-methylvalerate, linalool, decanal, longifolene, phenylethyl alcohol, l-α-terpineol, jasmone, and so on. And the majority of these odorants were only formed in the drying stage. Additionally, isoleucine, theanine, methionine, and glucose were found to be involved in the formation of chestnut-like aroma of green tea. CONCLUSION: The drying process played a vital important role in the formation of chestnut-like aroma of green tea. © 2022 Society of Chemical Industry.

[Efficacy and safety of rituximab in children and adolescents with mature B-cell non-Hodgkin's lymphoma: a Meta analysis]. / 利妥昔单抗治疗儿童及青少年成熟Bç»†èƒžéžéœå¥‡é‡‘æ·‹å·´ç˜¤ç–—æ•ˆåŠå®‰å ¨æ€§çš„Meta分析.

OBJECTIVES: To study the efficacy and safety of rituximab combined with chemotherapy in the treatment of children and adolescents with mature B-cell non-Hodgkin's lymphoma (B-NHL) through a Meta analysis. METHODS: The databases including PubMed, Embase, the Cochrane Library, ClinicalTrials.gov, Web of Science, China National Knowledge Infrastructure, Wanfang Data, and Weipu were searched to obtain 10 articles on rituximab in the treatment of mature B-NHL in children and adolescents published up to June 2022, with 886 children in total. With 3-year event-free survival (EFS) rate, 3-year overall survival (OS) rate, complete remission rate, mortality rate, and incidence rate of adverse reactions as outcome measures, RevMan 5.4 software was used for Meta analysis, subgroup analysis, sensitivity analysis, and publication bias analysis. RESULTS: The rituximab+chemotherapy group showed significant increases in the 3-year EFS rate (HR=0.38, 95%CI: 0.25-0.59, P<0.001), 3-year OS rate (HR=0.29, 95%CI: 0.14-0.61, P=0.001), and complete remission rate (OR=3.72, 95%CI: 1.89-7.33, P<0.001) as well as a significant reduction in the mortality rate (OR=0.31, 95%CI: 0.17-0.57, P<0.001), as compared with the chemotherapy group without rituximab. There was no significant difference in the incidence rate of adverse reactions between the two groups (OR=1.28, 95%CI: 0.85-1.92, P=0.24). CONCLUSIONS: The addition of rituximab to the treatment regimen for children and adolescents with mature B-cell non-Hodgkin's lymphoma can bring significant survival benefits without increasing the incidence of adverse reactions.

Nanoarchitectured prototypes of mesoporous silica nanoparticles for innovative biomedical applications.

Despite exceptional morphological and physicochemical attributes, mesoporous silica nanoparticles (MSNs) are often employed as carriers or vectors. Moreover, these conventional MSNs often suffer from various limitations in biomedicine, such as reduced drug encapsulation efficacy, deprived compatibility, and poor degradability, resulting in poor therapeutic outcomes. To address these limitations, several modifications have been corroborated to fabricating hierarchically-engineered MSNs in terms of tuning the pore sizes, modifying the surfaces, and engineering of siliceous networks. Interestingly, the further advancements of engineered MSNs lead to the generation of highly complex and nature-mimicking structures, such as Janus-type, multi-podal, and flower-like architectures, as well as streamlined tadpole-like nanomotors. In this review, we present explicit discussions relevant to these advanced hierarchical architectures in different fields of biomedicine, including drug delivery, bioimaging, tissue engineering, and miscellaneous applications, such as photoluminescence, artificial enzymes, peptide enrichment, DNA detection, and biosensing, among others. Initially, we give a brief overview of diverse, innovative stimuli-responsive (pH, light, ultrasound, and thermos)- and targeted drug delivery strategies, along with discussions on recent advancements in cancer immune therapy and applicability of advanced MSNs in other ailments related to cardiac, vascular, and nervous systems, as well as diabetes. Then, we provide initiatives taken so far in clinical translation of various silica-based materials and their scope towards clinical translation. Finally, we summarize the review with interesting perspectives on lessons learned in exploring the biomedical applications of advanced MSNs and further requirements to be explored.

Comparative analysis of B-BOX genes and their expression pattern analysis under various treatments in Dendrobium officinale.

BACKGROUND: Studies have demonstrated that BBX (B-BOX) genes play crucial roles in regulatory networks controlling plant growth, developmental processes and stress response. Nevertheless, comprehensive study of BBX genes in orchids (Orchidaceae) is not well studied. The newly released genome sequences of Dendrobium officinale and Phalaenopsis equestris have allowed a systematic analysis of these important BBX genes in orchids. RESULTS: Here we identified 19 (DoBBX01-19) and 16 (PeBBX01-16) BBX genes from D. officinale and P. equestris, respectively, and clustered into five clades (I-V) according to phylogenetic analysis. Thirteen orthologous, two DoBBXs paralogous and two PeBBXs paralogous gene pairs were validated. This gene family mainly underwent purifying selection, but five domains experienced positive selection during evolution. Noteworthy, the expression patterns of root, root_tips, stem, leaf, speal, column, lip, and flower_buds revealed that they might contribution to the formation of these tissues. According to the cis-regulatory elements analysis of BBX genes, qRT-PCR experiments were carried out using D. officinale PLBs (protocorm-like bodies) and displayed that these BBX genes were differentially regulated under AgNO3, MeJA (Methyl Jasmonate), ABA (abscisic acid) and SA (salicylic acid) treatments. CONCLUSIONS: Our analysis exposed that DoBBX genes play significant roles in plant growth and development, and response to different environmental stress conditions of D. officinale, which provide aid in the selection of appropriate candidate genes for further functional characterization of BBX genes in plants.

Systematic analysis and comparison of the PHD-Finger gene family in Chinese pear (Pyrus bretschneideri) and its role in fruit development.

PHD-finger proteins, which belongs to the type of zinc finger family, and that play an important role in the regulation of both transcription and the chromatin state in eukaryotes. Currently, PHD-finger proteins have been well studied in animals, while few studies have been carried out on their function in plants. In the present study, 129 non-redundant PHD-finger genes were identified from 5 Rosaceae species (pear, apple, strawberry, mei, and peach); among them, 31 genes were identified in pear. Subsequently, we carried out a bioinformatics analysis of the PHD-finger genes. Thirty-one PbPHD genes were divided into 7 subfamilies based on the phylogenetic analysis, which are consistent with the intron-exon and conserved motif analyses. In addition, we identified five segmental duplication events, implying that the segmental duplications might be a crucial role in the expansion of the PHD-finger gene family in pear. The microsynteny analysis of five Rosaceae species showed that there were independent duplication events in addition to the genome-wide duplication of the pear genome. Subsequently, ten expressed PHD-finger genes of pear fruit were identified using qRT-PCR, and one of these genes, PbPHD10, was identified as an important candidate gene for the regulation of lignin synthesis. Our research provides useful information for the further analysis of the function of PHD-finger gene family in pear.

Expansion and evolutionary patterns of GDSL-type esterases/lipases in Rosaceae genomes.

GDSL-type esterase/lipase (GELP) is mainly characterized by a conserved GDSL domain at N terminus, and is widely found in all living species, both prokaryotes and eukaryotes. GELP gene family consists of a wide range of members playing important roles in plant physiological processes, such as development, stress responses, and functional divergences. In our study, 597 GELP genes were identified from six Rosaceae genomes (i.e., Fragaria vesca, Prunus persica, Prunus avium, Prunus mume, Pyrus bretschneideri, and Malus domestica) by a comprehensive analysis. All GELP genes were further divided into ten subfamilies based on phylogenetic tree analysis. Subfamily D and subfamily E are the two largest subfamilies. Microcollinearity analysis suggested that WGD/segmental events contribute to the expansion of the GELP gene family in M. domestica and P. bretschneideri compared to F. vesca, P. persica, P. avium, and P. mume. Some PbGELPs were expressed during the fruit development of P. bretschneideri and pollen tubes, indicating their activity in these tissues. The expression divergence of PbGELP duplication gene pairs suggests that many mutations were allowed during evolution, although the structure of GELP genes was highly conserved. The current study results provided the feasibility to understand the expansion and evolution patterns of GELP in Rosaceae genomes, and highlight the function during P. bretschneideri fruits and pollen tubes development.

B-BOX genes: genome-wide identification, evolution and their contribution to pollen growth in pear (Pyrus bretschneideri Rehd.).

BACKGROUND: The B-BOX (BBX) proteins have important functions in regulating plant growth and development. In plants, the BBX gene family has been identified in several plants, such as rice, Arabidopsis and tomato. However, there still lack a genome-wide survey of BBX genes in pear. RESULTS: In the present study, a total of 25 BBX genes were identified in pear (Pyrus bretschneideri Rehd.). Subsequently, phylogenetic relationship, gene structure, gene duplication, transcriptome data and qRT-PCR were conducted on these BBX gene members. The transcript analysis revealed that twelve PbBBX genes (48%) were specifically expressed in pear pollen tubes. Furthermore, qRT-PCR analysis indicated that both PbBBX4 and PbBBX13 have potential role in pear fruit development, while PbBBX5 should be involved in the senescence of pear pollen tube. CONCLUSIONS: This study provided a genome-wide survey of BBX gene family in pear, and highlighted its roles in both pear fruits and pollen tubes. The results will be useful in improving our understanding of the complexity of BBX gene family and functional characteristics of its members in future study.

Genome-Wide Identification, Characterization and Expression Analysis of the Chalcone Synthase Family in Maize.

Members of the chalcone synthase (CHS) family participate in the synthesis of a series of secondary metabolites in plants, fungi and bacteria. The metabolites play important roles in protecting land plants against various environmental stresses during the evolutionary process. Our research was conducted on comprehensive investigation of CHS genes in maize (Zea mays L.), including their phylogenetic relationships, gene structures, chromosomal locations and expression analysis. Fourteen CHS genes (ZmCHS01-14) were identified in the genome of maize, representing one of the largest numbers of CHS family members identified in one organism to date. The gene family was classified into four major classes (classes I-IV) based on their phylogenetic relationships. Most of them contained two exons and one intron. The 14 genes were unevenly located on six chromosomes. Two segmental duplication events were identified, which might contribute to the expansion of the maize CHS gene family to some extent. In addition, quantitative real-time PCR and microarray data analyses suggested that ZmCHS genes exhibited various expression patterns, indicating functional diversification of the ZmCHS genes. Our results will contribute to future studies of the complexity of the CHS gene family in maize and provide valuable information for the systematic analysis of the functions of the CHS gene family.

Immunomodulatory multicellular scaffolds for tendon-to-bone regeneration.

Limited motor activity due to the loss of natural structure impedes recovery in patients suffering from tendon-to-bone injury. Conventional biomaterials focus on strengthening the regenerative ability of tendons/bones to restore natural structure. However, owing to ignoring the immune environment and lack of multi-tissue regenerative function, satisfactory outcomes remain elusive. Here, combined manganese silicate (MS) nanoparticles with tendon/bone-related cells, the immunomodulatory multicellular scaffolds were fabricated for integrated regeneration of tendon-to-bone. Notably, by integrating biomimetic cellular distribution and MS nanoparticles, the multicellular scaffolds exhibited diverse bioactivities. Moreover, MS nanoparticles enhanced the specific differentiation of multicellular scaffolds via regulating macrophages, which was mainly attributed to the secretion of PGE2 in macrophages induced by Mn ions. Furthermore, three animal results indicated that the scaffolds achieved immunomodulation, integrated regeneration, and function recovery at tendon-to-bone interfaces. Thus, the multicellular scaffolds based on inorganic biomaterials offer an innovative concept for immunomodulation and integrated regeneration of soft/hard tissue interfaces.

Dual-attention transformer-based hybrid network for multi-modal medical image segmentation.

Accurate medical image segmentation plays a vital role in clinical practice. Convolutional Neural Network and Transformer are mainstream architectures for this task. However, convolutional neural network lacks the ability of modeling global dependency while Transformer cannot extract local details. In this paper, we propose DATTNet, Dual ATTention Network, an encoder-decoder deep learning model for medical image segmentation. DATTNet is exploited in hierarchical fashion with two novel components: (1) Dual Attention module is designed to model global dependency in spatial and channel dimensions. (2) Context Fusion Bridge is presented to remix the feature maps with multiple scales and construct their correlations. The experiments on ACDC, Synapse and Kvasir-SEG datasets are conducted to evaluate the performance of DATTNet. Our proposed model shows superior performance, effectiveness and robustness compared to SOTA methods, with mean Dice Similarity Coefficient scores of 92.2%, 84.5% and 89.1% on cardiac, abdominal organs and gastrointestinal poly segmentation tasks. The quantitative and qualitative results demonstrate that our proposed DATTNet attains favorable capability across different modalities (MRI, CT, and endoscopy) and can be generalized to various tasks. Therefore, it is envisaged as being potential for practicable clinical applications. The code has been released on https://github.com/MhZhang123/DATTNet/tree/main .

The causal relationship between gut microbiota and lymphoma: a two-sample Mendelian randomization study.

Background: Previous studies have indicated a potential link between the gut microbiota and lymphoma. However, the exact causal interplay between the two remains an area of ambiguity. Methods: We performed a two-sample Mendelian randomization (MR) analysis to elucidate the causal relationship between gut microbiota and five types of lymphoma. The research drew upon microbiome data from a research project of 14,306 participants and lymphoma data encompassing 324,650 cases. Single-nucleotide polymorphisms were meticulously chosen as instrumental variables according to multiple stringent criteria. Five MR methodologies, including the inverse variance weighted approach, were utilized to assess the direct causal impact between the microbial exposures and lymphoma outcomes. Moreover, sensitivity analyses were carried out to robustly scrutinize and validate the potential presence of heterogeneity and pleiotropy, thereby ensuring the reliability and accuracy. Results: We discerned 38 potential causal associations linking genetic predispositions within the gut microbiome to the development of lymphoma. A few of the more significant results are as follows: Genus Coprobacter (OR = 0.619, 95% CI 0.438-0.873, P = 0.006) demonstrated a potentially protective effect against Hodgkin's lymphoma (HL). Genus Alistipes (OR = 0.473, 95% CI 0.278-0.807, P = 0.006) was a protective factor for diffuse large B-cell lymphoma. Genus Ruminococcaceae (OR = 0.541, 95% CI 0.341-0.857, P = 0.009) exhibited suggestive protective effects against follicular lymphoma. Genus LachnospiraceaeUCG001 (OR = 0.354, 95% CI 0.198-0.631, P = 0.0004) showed protective properties against T/NK cell lymphoma. The Q test indicated an absence of heterogeneity, and the MR-Egger test did not show significant horizontal polytropy. Furthermore, the leave-one-out analysis failed to identify any SNP that exerted a substantial influence on the overall results. Conclusion: Our study elucidates a definitive causal link between gut microbiota and lymphoma development, pinpointing specific microbial taxa with potential causative roles in lymphomagenesis, as well as identifying probiotic candidates that may impact disease progression, which provide new ideas for possible therapeutic approaches to lymphoma and clues to the pathogenesis of lymphoma.

Construction of methylation driver gene-related prognostic signature and development of a new prognostic stratification strategy in neuroblastoma.

BACKGROUND: Aberrant DNA methylation is one of the major epigenetic alterations in neuroblastoma. OBJECTIVE: Exploring the prognostic significance of methylation driver genes in neuroblastoma could help to comprehensively assess patient prognosis. METHODS: After identifying methylation driver genes (MDGs), we used the LASSO algorithm and stepwise Cox regression to construct methylation driver gene-related risk score (MDGRS), and evaluated its predictive performance by multiple methods. By combining risk grouping and MDGRS grouping, we developed a new prognostic stratification strategy and explored the intrinsic differences between the different groupings. RESULTS: We identified 44 stably expressed MDGs in neuroblastoma. MDGRS showed superior predictive performance in both internal and external cohorts and was strongly correlated with immune-related scores. MDGRS can be an independent prognostic factor for neuroblastoma, and we constructed the nomogram to facilitate clinical application. Based on the new prognostic stratification strategy, we divided the patients into three groups and found significant differences in overall prognosis, clinical characteristics, and immune infiltration between the different subgroups. CONCLUSION: MDGRS was an accurate and promising tool to facilitate comprehensive pre-treatment assessment. And the new prognostic stratification strategy could be helpful for clinical decision making.

Efficacy and safety of selumetinib in patients with neurofibromatosis type 1 and inoperable plexiform neurofibromas: a systematic review and meta-analysis.

BACKGROUND: The approval of selumetinib in patients with neurofibromatosis type 1(NF1) and inoperable plexiform neurofibromas (PN) has reshaped the landscape of clinical management of the disease, and further comprehensive evaluation of the drug's efficacy and safety is needed. METHODS: Original articles reporting on the efficacy and safety of elumetinib in patients with NF1 were comprehensively searched in the Pubmed database, Embase database, Cochrane Library, and Web of Science database and screened for inclusion of studies that met the criteria. We pooled the objective response rate (ORR), disease control rate (DCR), disease progression rate (DPR), and the rate of improvement in PN-related complications using meta-analysis. The incidence of drug-related adverse events was also statistically analyzed. RESULTS: This study included 10 clinical trials involving 268 patients. The pooled ORR was 68.0% (95% CI 58.0-77.3%), the DCR was 96.8% (95% CI 90.8-99.7%) and the DPR was only 1.4% (95% CI 0-4.3%). The pooled improvement rate was 75.3% (95% CI 56.2-90.9%) for pain and 77.8% (95% CI 63.1-92.5%) for motor disorders. Most adverse events were mild, with the most common being gastrointestinal reactions (diarrhea: 62.5%; vomiting: 54.5%). CONCLUSION: Our study demonstrates that selumetinib is effective in patients with NF1 and PN, significantly improving the serious complications associated with PN as well as having tolerable toxicities. Our findings help to increase clinicians' confidence in applying selumetinib and promote the clinical adoption and benefit of the new drug.

Meta-analysis of effectiveness and safety of proteasome inhibitor-dependent maintenance treatment for multiple myeloma a systematic review.

Background: Even with significant advancements, treating multiple myeloma (MM) remains difficult. At present, the main treatment methods include combined treatment of stem cell transplantation, drug treatment, etc. With the clarification of the molecular biological mechanism of MM, as well as the in-depth study of the internal signal of myeloma cells and the microenvironment of MM patients, more and more new drugs targeting myeloma and microenvironment are gradually used in clinical maintenance treatment, such as inhibit the proteosome: ixazomib, bortezomib and carfilzomib, immune - modulators: thalidomide and lenalidomide, monoclonal antibodies, etc. have made great progress in MM maintenance treatment. With the continuous development of proteasome inhibitor maintenance treatment in MM, the prognosis of the disease has been significantly improved. Our aim is to evaluate the effectiveness and adverse reactions of proteasome inhibitors in maintenance therapy for multiple myeloma, providing new ideas for clinical medication. Methods: Four databases containing randomized controlled studies on the effectiveness and safety of proteasome inhibitors in the maintenance therapy of multiple myeloma are retrieved by the computer. Once the quality of the literature has been thoroughly evaluated, run the data via the RevMan 5.3 software. Results: Eventually 8 studies were added in this systematic review. Compared with the placebo group, proteasome inhibitor in maintenance treatment of multiple myeloma patients with prolonged the survival without progression and overall existence. 5 studies reported the peripheral neuropathy of multiple myeloma in the treatment group compared to placebo group, which was remarkably greater (OR: 1.98; 95 % Cl: 1.35, 2.92; P < 0.001) compared to placebo group, Serious adverse events (OR: 1.60; 95 % Cl: 1.19, 2.14; P < 0.01), Rash (OR: 2.23; 95 % Cl: 1.62, 3.05; P < 0.001) and Vomiting (OR: 5.12; 95 % Cl: 3.36, 7.80; P < 0.001). The Serious adverse events of the treatment group were remarkably greater compared with the untreated group (OR: 1.60; 95 % Cl: 1.19, 2.14; P < 0.01). Conclusion: The study results proposed that proteasome inhibitors are effective in the multiple myeloma maintenance treatment compared with the placebo group. Bortezomib has certain advantages in prolonging PFS, followed by ixazomib and carfilzomib in terms of efficacy. Bortezombib may be superior to carfilzombib in extending OS. However, the adverse reactions caused by proteasome inhibitors, such as Peripheral neuropathy, Serious adverse events, Rash, Vomiting, etc., should be paid enough attention.

Multiphase enhanced CT-based transformer for differential diagnosis and predicting surgical risk events of solid abdominal tumors in children.

BACKGROUND: For pediatric patients with solid abdominal tumors, early diagnosis can guide clinical treatment decisions, and comprehensive preoperative evaluation is essential to reduce surgical risk. The aim of this study was to explore the feasibility of multiphase enhanced CT-based transformer in the early diagnosis of tumors and prediction of surgical risk events (SRE). METHODS: A total of 496 pediatric patients with solid abdominal tumors were enrolled in the study. With Swin transformer, we constructed and trained two Swin-T models based on preoperative multiphase enhanced CT for personalized prediction of tumor type and SRE status. Subsequently, we comprehensively evaluated the performance of each model and constructed four benchmark models for performance comparison. RESULTS: There was no significant difference in SRE status between tumor types. In the diagnostic task, areas under the receiver operating characteristic curves (AUC) of the Swin-T model were 0.987 (95 % CI, 0.973-0.997) and 0.844 (95 % CI, 0.730-0.940) in the training and validation cohorts, respectively. In predicting SRE, AUCs of the Swin-T model were 0.920 (95 % CI, 0.885-0.948) and 0.741 (95 % CI, 0.632-0.838) in the training and test cohorts, respectively. The Swin-T model achieved the best performance in both classification tasks compared to benchmark models. CONCLUSION: The Swin-T model is a promising tool to assist pediatricians in the differential diagnosis of abdominal tumors and in comprehensive preoperative evaluation.

Preparation and Characterization of Graphene Oxide/Carbon Nanotube/Polyaniline Composite and Conductive and Anticorrosive Properties of Its Waterborne Epoxy Composite Coatings.

The organic coating on the surface is common and the most effective method to prevent metal materials from corrosion. However, the corrosive medium can penetrate the metal surface via micropores, and electrons cannot transfer in the pure resin coatings. In this paper, a new type of anticorrosive and electrically conductive composite coating filled with graphene oxide/carbon nanotube/polyaniline (GO/CNT/PANI) nanocomposites was successfully prepared by in situ polymerization of aniline (AN) on the surface of GO and CNT and using waterborne epoxy resin (WEP) as film-forming material. The structure and morphology of the composite were characterized using a series of characterization methods. The composite coatings were comparatively examined through resistivity, potentiodynamic polarization curves, electrochemical impedance spectroscopy (EIS), and salt spray tests. The results show that the GO/CNT/PANI/WEP composite coating exhibits excellent corrosion resistance for metal substrates and good conductivity when the mass fraction of GO/CNT/PANI is 3.5%. It exhibits a lower corrosion current density of 4.53 × 10-8 A·cm-2 and a higher electrochemical impedance of 3.84 × 106 Ω·cm2, while only slight corrosion occurred after 480 h in the salt spray test. The resistivity of composite coating is as low as 2.3 × 104 Ω·cm. The composite coating possesses anticorrosive and electrically conductive properties based on the synergistic effect of nanofillers and expands the application scope in grounding grids and oil storage tank protection fields.

The effects of mobile phone addiction on bedtime procrastination in university students: the masking effect of physical activity and anxiety.

PURPOSE: Good sleep is one of the necessary conditions to ensure the normal performance of the physiological and psychological functions of college students. This study aimed to explore the relationship between mobile phone addiction and bedtime procrastination among Chinese college students and the mediating mechanisms of physical exercise and anxiety between the two, with a view to seek ways to prevent and intervene in college students' sleep procrastination and improve their sleep quality. METHODS: Using SPSS 29.0 analysis with Bootstrap's method, 3,800 first-year students, sophomores, and juniors were given the Mobile Phone Addiction Tendency Scale, Bedtime Procrastination Scale, Physical Activity Scale, and Anxiety Scale. The results of the analyses included mediation tests and effect analyses of anxiety and physical activity. RESULTS: The correlation analysis revealed significant positive correlations between mobile phone addiction and bedtime procrastination (r = 0.149, p < 0.01) as well as anxiety (r = 0.497, p < 0.01). Additionally, there was a significant negative correlation between mobile phone addiction and physical activity (r = -0.447, p < 0.01). Physical activity was also found to have significant negative correlations with anxiety (r = -0.506, p < 0.01) and bedtime procrastination (r = -0.424, p < 0.01). Furthermore, anxiety showed a significant positive correlation with bedtime procrastination (r = 0.334, p < 0.01). Physical activity and anxiety acted as substantial mediators between mobile phone addiction and nighttime procrastination. Both mediators had considerable masking effects, with the mediating effect amounting to 50.3% and 25.1%, respectively. Physical exercise and anxiety played a chain mediating role between mobile phone addiction and bedtime procrastination, and the masking effect was also significant, with a mediating effect size of 13.4%. CONCLUSIONS: This study reveals the special characteristics of the influencing factors and pathways of bedtime procrastination in this group of college students, providing targeted evidence for the prevention and intervention of bedtime procrastination in college students. It also has an important reference value for the effects of exercise and comprehensive intervention to improve bedtime procrastination and enhance the quality of sleep in college students.

Population structure and selective signature of Kirghiz sheep by Illumina Ovine SNP50 BeadChip.

Objective: By assessing the genetic diversity and associated selective traits of Kirghiz sheep (KIR), we aim to uncover the mechanisms that contribute to sheep's adaptability to the Pamir Plateau environment. Methods: This study utilized Illumina Ovine SNP50 BeadChip data from KIR residing in the Pamir Plateau, Qira Black sheep (QBS) inhabiting the Taklamakan Desert, and commonly introduced breeds including Dorper sheep (DOR), Suffolk sheep (SUF), and Hu sheep (HU). The data was analyzed using principal component analysis, phylogenetic analysis, population admixture analysis, kinship matrix analysis, linkage disequilibrium analysis, and selective signature analysis. We employed four methods for selective signature analysis: fixation index (Fst), cross-population extended homozygosity (XP-EHH), integrated haplotype score (iHS), and nucleotide diversity (Pi). These methods aim to uncover the genetic mechanisms underlying the germplasm resources of Kirghiz sheep, enhance their production traits, and explore their adaptation to challenging environmental conditions. Results: The test results unveiled potential selective signals associated with adaptive traits and growth characteristics in sheep under harsh environmental conditions, and annotated the corresponding genes accordingly. These genes encompass various functionalities such as adaptations associated with plateau, cold, and arid environment (ETAA1, UBE3D, TLE4, NXPH1, MAT2B, PPARGC1A, VEGFA, TBX15 and PLXNA4), wool traits (LMO3, TRPS1, EPHA5), body size traits (PLXNA2, EFNA5), reproductive traits (PPP3CA, PDHA2, NTRK2), and immunity (GATA3). Conclusion: Our study identified candidate genes associated with the production traits and adaptation to the harsh environment of the Pamir Plateau in Kirghiz sheep. These findings provide valuable resources for local sheep breeding programs. The objective of this study is to offer valuable insights for the sustainable development of the Kirghiz sheep industry.

Network meta-analysis of the effectiveness of different interventions for internet addiction in college students.

BACKGROUND: Internet addiction jeopardizes teenagers' physical and mental health, as well as their academic performance, and causes a variety of cognitive dysfunctions and psychological and mental health illnesses, among other things. It is a huge issue that families, schools, and society must address immediately. OBJECTIVES: This study used network meta-analysis to evaluate the impact of several interventions on college students' Internet addiction. The goal was to identify the most effective interventions and establish a reference for future interventions. We systematically searched relevant literature in domestic and international databases such as Web of Science, PubMed, EMBASE, Cochrane Library, Pro Quest, China Knowledge, Wan fang, Wipo, etc. We assessed the risk of bias according to the revised Cochrane Randomized Trials Risk of Bias Tool (RoB2) and used R Studio Software and Stata 14.0 for traditional meta-analysis and network meta-analysis. A network meta-analysis based on the IAT scale showed that comprehensive interventions had the highest probability of being the best intervention for IA (SUCRA = 90.6 % based on IAT); focused solution short-term therapy had the highest probability of being the best intervention for IA based on the CIAS-R (19 White Feather) scale (SUCRA = 100 %). CONCLUSIONS: The majority of interventions have a significant influence on the treatment of IA, and improvements in Internet addiction symptoms are more noticeable when a combination of interventions is used rather than just one.