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The growing importance of 3D animations in current teaching approaches becomes increasingly apparent, offering an effective way to visualize complex spatial concepts and processes in geography learning through outstanding visual representation and details. However, the effects of detail richness and text load of 3D animation on learning about processes remain unclear. Addressing this research gap, the present study adopts a quasi-experimental design involving four classes (n = 106) in the context of a geography lesson and evaluates four conditions in a 2 × 2 between-subjects design consisting of detail richness (high vs. low) and text load (high vs. low). The lessons on the rotation and revolution of the Earth were delivered by the same instructor across all conditions. Knowledge acquisition, cognitive load, learning experience, and emotions of students were measured. The results revealed that students were significantly better able to acquire knowledge immediately when exposed to the high detailed visuals but low text load condition. Low detail richness and high text load independently resulted in increased cognitive load. We also observed a significant effect of detail richness on the dimensions of pleasure and arousal, with higher levels of details associated with larger values in these dimensions. This research suggests that when the learning objective necessitates the engagement of mental imagery, incorporating detailed visuals can facilitate learning. The findings contribute to our understanding of how detailed imagery is linked to learning objectives about processes and expand our knowledge regarding the design of detail richness and text of 3D animation in the context of geography learning.

Instructional videos for teaching second language (L2) vocabulary often feature an instructor onscreen. The instructor in the video may involuntarily produce beat gestures with their hands, as occurs in real teaching settings. Beat gestures highlight key information in speech by conveying the rhythm of the language, but do not themselves convey semantic meaning. However, little is known about how the instructor's beat gestures affect L2 vocabulary learning. We conducted two experiments on the effects of the instructor's purposeful (scripted) beat gestures in instructional videos that included an instructor and slides, with English L2 vocabulary as the topic. In Experiment 1, using a within-participant design, we tested the hypothesis that an instructor's gestures (beat gesture vs. no gesture) would improve learning performance. The results showed that the instructor's use of beat gestures increased learners' accuracy and reduced reaction time on an L2 learning performance test. In Experiment 2, using a between-participants design, we tested the assumption that the benefits of beat gestures in L2 vocabulary learning are in part due to reductions in cognitive load while learning. This assumption was supported by both a self-report measurement of cognitive load and electroencephalogram (EEG) data showing lower theta power and lower alpha power when the instructor used beat gestures. The results of this study have applied value for designing effective instructional videos on the topic of L2 vocabulary learning.

This study examined and compared the effects of two types of online peer assessment, namely, "free selection and invitation" (FS&I) assessment and the commonly implemented "assigned-pair" (AP) assessment, on undergraduates' research competencies, flow, motivation, and interaction, supported by the Cloud Classroom online learning system. Ninety-three undergraduates from a research methods course participated in this study. They were randomly divided into two groups: an FS&I group and an AP group. The two groups experienced exactly the same teaching conditions except for different online peer assessment types. The study was conducted over one semester (16 weeks). Both quantitative and qualitative methods were used to examine the effects of the two types of online peer assessment. Regarding research competencies that were represented by conceptual knowledge and research proposal, this study found that the FS&I and AP groups showed no significant difference in conceptual knowledge score, and that the FS&I group performed significantly better in the quality of research proposals than the AP group. The FS&I group also manifested higher levels of flow and motivation than the AP group. Additionally, social network analysis (SNA) revealed that the FS&I group exhibited more interactions and closer connections with peers than the AP group. These results suggest that FS&I online peer assessment is an effective scaffolding that can improve undergraduates' research competencies, learning engagement and willingness to interact. The implications of this study are also discussed.

Videos are pivotal tools in pre-service teacher training. First-person, third-person, and 360-degree perspectives are commonly used types and the optimal type remains undetermined. In our study involving pre-service teachers (PSTs), we evaluated the efficacy of 360-degree videos against the first-person and third-person perspective videos concerning spatial presence, cognitive load, classroom quality rating accuracy, and classroom observation. Our results revealed that PSTs exposed to 360-degree videos exhibited superior performance in spatial presence, classroom quality rating accuracy, and classroom observation compared to the other two video types. This underscores that 360-degree videos enhance PSTs' skills in discerning, categorizing, and interpreting classroom events. Although there were no marked differences in cognitive load across the groups, cognitive load was found to modulate the influence of video type on classroom observation. Notably, at higher cognitive load levels, the 360-degree videos were more advantageous. The significance of this study is twofold: it empirically substantiates the superiority of 360-degree videos in refining pedagogical skills and it reveals the modulating role of cognitive load. These findings inform innovative instructional interventions and pedagogical strategies, emphasizing the need for using 360-degree videos in teacher education and encouraging higher learner engagement.

Abacus-based mental calculation (AMC) is a widely used educational tool for enhancing math learning, offering an accessible and cost-effective method for classroom implementation. Despite its universal appeal, the neurocognitive mechanisms that drive the efficacy of AMC training remain poorly understood. Notably, although abacus training relies heavily on the rapid recall of number positions and sequences, the role of memory systems in driving long-term AMC learning remains unknown. Here, we sought to address this gap by investigating the role of the medial temporal lobe (MTL) memory system in predicting long-term AMC training gains in second-grade children, who were longitudinally assessed up to fifth grade. Leveraging multimodal neuroimaging data, we tested the hypothesis that MTL systems, known for their involvement in associative memory, are instrumental in facilitating AMC-induced improvements in math skills. We found that gray matter volume in bilateral MTL, along with functional connectivity between the MTL and frontal and ventral temporal-occipital cortices, significantly predicted learning gains. Intriguingly, greater gray matter volume but weaker connectivity of the posterior parietal cortex predicted better learning outcomes, offering a more nuanced view of brain systems at play in AMC training. Our findings not only underscore the critical role of the MTL memory system in AMC training but also illuminate the neurobiological factors contributing to individual differences in cognitive skill acquisition.

Virtual Reality (VR) is increasingly recognized as a promising tool to enhance learning, yet research on the use of VR instructional approaches for online learning remains limited. The present study aims to address this research gap by examining the effects of VR instructional approaches and textual cues on learning. We conducted an educational VR study using a 2 x 2 + 1 between-subjects design involving 67 secondary vocational students. Participants learned computer assembly online and were exposed to either vicarious experience or direct manipulation instructional approaches, with or without textual cues. A control group received traditional online instruction using slides. We collected retention, transfer learning outcomes, cognitive load, and learning experience of students. The findings indicated that while vicarious VR had no effects on long-term retention, transfer, and learning experience, there were significant positive effects on the immediate acquisition of knowledge. Textual cues did not affect learning in general. However, for immediate knowledge gain, they did provide a positive boost to learning in VR involving direct manipulation, while they were unnecessary in vicarious VR experiences. This study contributes to how the cueing principle can be extended to educational VR contexts and expands the knowledge of vicarious VR learning.

Breast cancer is a malignant tumor that predominantly affects women. The incidence of breast cancer has risen annually and is increasingly occurring in younger population, posing a significant threat to women’s health. Estrogen receptor-positive breast cancer is the most prevalent subtype, accounting for 75% of all cases. Endocrine therapy, particularly with tamoxifen, serves as the primary treatment for these subtypes. However, due to the highly heterogeneous nature of breast cancer, some patients remain at risk for recurrence even after undergoing tamoxifen treatment. Therefore, it is essential to investigate the mechanism of tamoxifen in breast cancer treatment from a single-cell perspective. In comparison to single-cell genomics and single-cell proteomics, single-cell metabolomics can offer a clearer representation of the chemical changes occurring within individual cells by measuring the end products of cellular activity—metabolites. Thus, this approach can provide a more direct reflection of the differences between cells. In this study, single-cell mass cytometry was employed to investigate metabolite alterations in MCF-7 cells upon exposure to tamoxifen, aiming to elucidate its mechanism from a single-cell perspective. The 3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium (MTS) assay was utilized to assess the impact of tamoxifen on MCF-7 cell proliferation and established optimal conditions for subsequent therapies involving these cells. The results showed that 576 metabolites under positive ion mode and 480 metabolites under negative ion mode are identified by using single-cell mass cytometry approach. In total, 811 metabolites are detected in MCF-7 cells without tamoxifen treatment compared to 776 metabolites identified following tamoxifen administration. It demonstrated that metabolites observed under negative ion mode effectively distinguish between MCF-7 cells treated with and without tamoxifen. Exposure to tamoxifen can result in upregulation of 28 metabolites and downregulation of 59 metabolites, and these changes predominantly influence metabolic pathways including taurine-hypotaurine metabolism, caffeine metabolism, cysteine-methionine metabolism, glycine-serine-threonine metabolism, purine metabolism, starch-sucrose metabolism, and pyrimidine metabolism. The findings indicated that the intervention of the aforementioned metabolites and metabolic pathways may represent one of the mechanisms through which tamoxifen exerts its effects against estrogen receptor-positive breast cancer. This study employed single-cell metabolomics based on mass spectrometry to explore the metabolic alterations in breast cancer cells induced by tamoxifen, which is often overlooked in metabolomics studies based on bulk cells. Furthermore, it elucidates the mechanism of tamoxifen’s action against estrogen receptor-positive breast cancer from a single-cell metabolomic perspective, thereby provides valuable insights for understanding the mechanisms underlying other therapeutic agents.

Abstract Background Indigenous buffaloes, as the important livestock species contributing to economy of the country, are the lifeline of livelihood in Nepal. They are distributed across diverse geographical regions of the country and have adapted to various feeding, breeding, and management conditions. The larger group of these native buffalo breeds are present in narrow and stiff hilly terrains. Their dispersal indicates a possible environmental adaptation mechanism, which is crucial for the conservation of these breeds. Results We utilized whole-genome sequencing (WGS) to investigate the genetic diversity, population structure, and selection signatures of Nepalese indigenous buffaloes. We compared 66 whole-genome sequences with 118 publicly available sequences from six river and five swamp buffalo breeds. Genomic diversity parameters indicated genetic variability level in the Nepalese buffaloes comparable to those of Indian breeds, and population genetic structure revealed distinct geography-mediated genetic differentiation among these breeds. We used locus-specific branch length analysis (LSBL) for genome-wide scan, which revealed a list of potentially selected genes in Lime and Parkote breeds that inhabit the hilly region. A gene ontology (GO) analysis discovered that many GO terms were associated with cardiac function regulation. Furthermore, complementary analyses of local selection signatures, tissue expression profiles, and haplotype differences identified candidate genes, including KCNE1, CSF1R, and PDGFRB, related to the regulation of cardiac and pulmonary functions. Conclusions This study is a comprehensive WGS-based genetic analysis of the native Nepalese buffalo breeds. Our study suggested that the Nepalese “hilly” buffaloes, especially the Lime and Parkote breeds, have undergone some characteristic genetic changes and evolved increased cardiac and pulmonary function for their adaptation to the steep hilly terrains of the country.

Abstract Remimazolam is a new benzodiazepine. Currently, it remains unclear how repeated exposure to remimazolam affects the cognitive function of the developing brain. In the present study, the equivalent doses of the two sedatives were derived from S-shaped dose–response curves, and the ED95 of remimazolam was 45 mg/kg (95% CI 37.579–79.280), and for midazolam, it was 77 mg/kg (95% CI 63.751–127.21) using probability analysis. Then, we evaluated the effects of remimazolam and midazolam on cognitive function in juvenile mice (C57BL/6) through Y-maze and MWM. TUNEL staining was used to observe the apoptosis of neurons in hippocampus, western blotting was used to detect the expression changes of related proteins, and the changes of LTP were observed by recording the activity of neurons through electrical stimulation. We found that there was no significant difference in the behavior of mice in MWM. However, the short-term memory of developing mice was impaired in Y-maze after repeated exposure to remimazolam and midazolam. Furthermore, our data demonstrated that the short-term memory damage caused by remimazolam is lighter than midazolam. Concurrently, the extent of caspase-3 upregulation, the number of neuronal apoptosis in CA1 and CA3 regions, a downward trend of PSD95 and BDNF in the hippocampus, and the inhibition of LTP were highly consistent with the behavior of short-term memory impairment. These results indicate that the degree of memory impairment caused by remimazolam is milder than that caused by midazolam, making it a potential replacement for midazolam in repeated medication and long-term sedation in children.

Abstract The plastid-encoded RNA polymerase serves as the principal transcription machinery within chloroplasts, transcribing over 80% of all primary plastid transcripts. This polymerase consists of a prokaryotic-like core enzyme known as the plastid-encoded RNA polymerase core, and is supplemented by newly evolved associated proteins known as PAPs. However, the architecture of the plastid-encoded RNA polymerase and the possible functions of PAPs remain unknown. Here, we present the cryo-electron microscopy structure of a 19-subunit plastid-encoded RNA polymerase complex derived from spinach (Spinacia oleracea). The structure shows that the plastid-encoded RNA polymerase core resembles bacterial RNA polymerase. Twelve PAPs and two additional proteins (FLN2 and pTAC18) bind at the periphery of the plastid-encoded RNA polymerase core, forming extensive interactions that may facilitate complex assembly and stability. PAPs may also protect the complex against oxidative damage and has potential functions in transcriptional regulation. This research offers a structural basis for future investigations into the functions and regulatory mechanisms governing the transcription of plastid genes.

Abstract Optical patterning of colloidal particles is a scalable and cost-effective approach for creating multiscale functional structures. Existing methods often use high-intensity light sources and customized optical setups, making them less feasible for large-scale microfabrication processes. Here, we report an optical patterning method for semiconductor nanoparticles by light-triggered modulation of their surface charge. Rather than using light as the primary energy source, this method utilizes UV-induced cleavage of surface ligands to modify surface charges, thereby facilitating the self-assembly of nanoparticles on a charged substrate via electrostatic interactions. By using citrate-treated ZnO nanoparticles, uniform ZnO patterns with variable thicknesses can be achieved. These multilayered ZnO patterns are fabricated into a UV detector with an on/off ratio exceeding 104. Our results demonstrate a simple yet effective way to pattern semiconductor nanoparticles, facilitating the large-scale integration of functional nanomaterials into emerging flexible and robotic microdevices.

Abstract Background Cognitive impairment is common in chronic schizophrenia patients. The purpose of this study was to explore the efficacy of Shen-based Qigong Exercise (SBQE) in improving the cognitive impairment of stable schizophrenia patients in rehabilitation wards. Methods SBQE is derived from the theory of “body-spirit syncretism (xin shen he yi)” in traditional Chinese medicine (TCM) and is extracted from the four traditional Qigong techniques. In this 12-week, randomized, single-blind, controlled study, a total of 40 schizophrenia patients were randomly assigned to either the SBQE group or the control group. The scores for the Scale for the Assessment of Negative Symptoms (SANS) and the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) were recorded at baseline and week 12, respectively. Results At week 12, the mean RBANS total score was 84.5 points in the SBQE group and 72.8 points in the control group. The estimated mean difference was − 11.60 points (2-sided 95% CI, -22.41 to -0.79; P = 0.04). This difference was statistically significant (time-by-group interaction effect estimates, F(1,38) = 5.07; P = 0.03). Conclusions Our preliminary findings indicated that SBQE led to an improvement in cognitive impairment in stable schizophrenia patients in rehabilitation wards. Further research with robust design and larger sample sizes is necessary to validate the effects of SBQE on cognitive function and psychiatric symptoms in schizophrenia, thus providing more substantial evidence for the clinical application of SBQE. Trial registration ClinicalTrials.gov Identifier: NCT05310955 on 22/02/2022; http://www.chictr.org.cn/ Identifier: ChiCTR2200057373 on 10/03/2022.

Abstract Background A prolonged first episode of psychosis (FEP) without adequate treatment is a predictor of poor clinical, functional, and health outcomes and significant economic burden. Team-based “coordinated specialty care” (CSC) for early psychosis (EP) has established effectiveness in promoting clinical and functional recovery. However, California’s CSC program implementation has been unsystematic and could benefit from standardizing its processes and data collection infrastructure. To address this, we established a consortium of EP clinics across the state via a Learning Health Care Network (LHCN) framework to develop the Early Psychosis Intervention Network of California (EPI-CAL). EPI-CAL’s LHCN developed a core battery of evidence-based measures for service users and family members and linked them together using a unique data collection and visualization application, Beehive. Methods and objectives EPI-CAL’s LHCN collects, visualizes, and aggregates data at the individual and clinic level for EP programs across California via Beehive. Beehive was designed to: (1) collect outcomes data from service users receiving care at EP programs and their support persons, (2) provide the data to providers on a secure web-based dashboard to support measurement-based care, and (3) allow data to be used for program or research analysis. We will (1) determine the feasibility of implementing an LHCN across a diverse, decentralized network of early psychosis programs, (2) determine if the implementation of an LHCN increases the delivery of measurement-based care, and (3) determine if the implementation of measurement-based care is associated with significant improvements in key service user outcomes. EPI-CAL’s network will contribute data to the Early Psychosis Intervention Network (EPINET) program. Discussion The current study aims to establish an LHCN of EP clinics in California that implements harmonized data collection using Beehive and assesses the feasibility of establishing such a network. Our goal is for this harmonized data collection approach to be used to inform decisions and develop learning opportunities for service users, staff, and administrators, and to improve outcomes for service users and their supporters in CSC care. Further, the data will enable programs and research teams to examine what elements of care lead to program success and improved treatment outcomes for service users. Clinical trials registration www.ClinicalTrials.gov , identifier NCT04007510; registered 07/05/2019.

Abstract Background Remimazolam tosilate represents the novel ultrashort-acting benzodiazepine drug. This work focused on exploring whether remimazolam tosilate was effective and safe in anesthesia for short otolaryngology surgery in adults, and optimize its medication regimen, thus providing a theoretical basis for its widespread clinical application. Methods The present unicentric, double-blind, randomized controlled study enrolled altogether 85 otolaryngology surgery patients aged 18–60 years, and they were divided as remimazolam (RM, 42 cases) or midazolam (MD, 43 cases) group. Efficacy outcomes included successful sedation time, sedation effect (Modified Observer’s Assessment of Alertness/Sedation (MOAA/S) score), bispectral index values (BIS), and postoperative recovery. The safety outcomes were patient vital signs at each time point (before induction (T0), 2 min and 5 min after trial drug treatment (T1 and T2 separately), during successful intubation (T3), at the end of surgery (T4), during extubation (T5), and at the time of exiting the room (T6)), any adverse reactions (AEs) during perioperative period, and patient satisfaction with anesthesia experience. Results Demographics were not significantly different in both groups (P > 0.05). RM group had significantly decreased successful sedation time relative to MD group (P 0.05), but RM group exhibited decreased discharge time compared with MD group (P

Abstract The continued increase in demand for food is such that flood-irrigation-based agricultural techniques are not expected to change in the future. Consequently, in cultivated areas dominated by river terraces that experience neotectonic movements, catastrophes caused by earthquakes that trigger material liquefaction may continue to occur. Among such catastrophes, low-angle, ultra-long-distance landslides induced by synergistic effects of tectonic and human activities are events that are not fully understood but can potentially be mitigated. A landslide-mudflow that occurred on December 18, 2023, during an Ms 6.2 earthquake in Jishishan, China, on the tertiary terrace of the Yellow River. We reveal the causal mechanisms by which geomorphology, tectonics, and human activities controlled the landslide-mudflow, and outline a new, potentially widespread, dual liquefaction layer-dominated failure mode for earthquake-induced landslides on river terraces. Our findings serve as a warning that urgent landslide-potential assessments should be conducted across river terrace irrigation areas in tectonically active regions.

Abstract Ceria (CeO2) is a widely used oxide catalyst, yet the nature of its active sites remains elusive. This study combines model and powder catalyst studies to elucidate the structure-activity relationships in ceria-catalyzed CO activation and hydrogenation. Well-defined ceria clusters are synthesized on planar CeO2(111) and exhibit dynamic and tunable ranges of Ce coordination numbers, which enhance their interaction with CO. Reduced ceria clusters (e.g., Ce3O3) bind CO strongly and facilitate its dissociation, while near-stoichiometric clusters (e.g., Ce3O7) adsorb CO weakly and promote oxidation via carbonate formation. Unlike planar ceria surfaces, supported ceria clusters exhibit dynamic properties and enhanced catalytic activity, that mimic those of powder ceria catalysts. Insight from model studies provide a method to quantify active sites on powder ceria and guide further optimization of ceria catalysts for syngas conversion. This work marks a leap toward model-guided catalyst design and highlights the importance of site-specific catalysis.

Abstract Background The persistently rising complication, pseudotumor, after hip arthroplasty required surgeons’ vigilance. Although the remaining controversial relationship between metal ions and pseudotumor, metal ion detection had been widely employed in clinic. The aim of this study is to evaluate the correlation between metal ions and pseudotumor, as well as the effectiveness of metal ion analysis in the screening and diagnosis of pseudotumor through systematic review and meta-analysis. Methods The Medline and Embase databases were searched for studies evaluating metal ions and patients with pseudotumors after hip arthroplasty. A systematic review of risk ratio and diagnostic performance for metal ions was conducted. Results Seven studies were included in the systematic review. The mean Methodological Index for Non-Randomized Studies (MINORS) score of the included studies was 19 (range, 14 to 22). Pooled risk ratio (RR) value was 2.01(95% CI: 1.25–3.24; P = 0.004) for cobalt ions level and 1.44 (95% CI: 1.10–1.88; P = 0.008) for chromium ions level. The pooled sensitivity, specificity and the area under the curve (AUC) for cobalt and chromium ions were determined to be 0.59, 0.82, 0.73 and 0.34, 0.82, 0.56, respectively. Conclusions The metal ions level has a low diagnostic value. It is of certain value for confirmation, but should not be used as a routine screening indicator. The diagnostic value of cobalt ions is higher than that of chromium. Level of Evidence: Diagnostic Level IV.

Abstract The progression and outcome of bladder cancer (BLCA) are critically affected by the propensity of tumor metastasis. Our previous study revealed that activation of the mevalonate (MVA) pathway promoted migration of BLCA cells; however, the exact mechanism is unclear. Here we show that elevated expression of MVA pathway enzymes in BLCA cells, correlating with poorer patient prognosis by analyzing single-cell and bulk-transcriptomic datasets. Inhibition of the MVA pathway, either through knockdown of farnesyl diphosphate synthase (FDPS) or using inhibitors such as zoledronic acid or simvastatin, led to a marked reduction in BLCA cell migration. Notably, this effect was reversed by administering geranylgeranyl pyrophosphate (GGPP), not farnesyl pyrophosphate (FPP) or cholesterol, indicating the specificity of geranylgeranylation for cell motility. Moreover, we found that RhoB, a Rho GTPase family member, was identified as a key effector of the impact of the MVA pathway on BLCA metastasis. The post-translational modification of RhoB by GGPP-mediated geranylgeranylation influenced its protein stability through the ubiquitin-proteasome pathway. Additionally, overexpression of RhoB was found to block the membrane translocation of integrin β1 in BLCA cells. In summary, our findings underscore the role of the MVA pathway in BLCA metastasis, providing insights into potential therapeutic targets of this malignancy.

Diglycerol (DAG) is a structural lipid with the functions to lower body fat accumulation and decrease serum triglyceride level. However, the enzymatic synthesis of DAG is limited by the high-efficient and economic lipases. In this paper, the immobilized lipase PS@LXTE-1000 was self-made by immobilizing the Pseudomomas cepacian lipase on to the hydrophobic microporous resin LXTE-1000. The results indicate that LXTE-1000 was a uniform mesoporous sphere with the mean diameter of 400 ​μm, pore size of 14.6 ​nm, pore volume of 0.5 ​cm3/g and surface area of 126.0 ​m2/g, showing superior structural properties for lipase immobilization. Under the optimal reaction conditions with the molar ratio of rapeseed oil to glycerol being 1:1, adding amount of immobilized lipase being 4%, reaction at 50 ​°C, the highest DAG content of 46.7% was achieved in 3 ​h via enzymatic glycerolysis catalyzed by LXTE-1000. After 7 cycles of reuse, the self-made LXTE-1000 could still retain 78.3% of its initial catalytic ability. Besides, LXTE-1000 was observed to facilitate the DAG production via glycerolysis reaction between glycerol with other seven edible oils including corn oil, sesame oil, peony seed oil, rice bran oil, peanut oil, soybean oil and flaxseed oil. Specifically, the glycerolysis reaction with sesame oil, peony seed oil and rice bran oil even led to the DAG content of 52.1%, 53.3% and 51.2%, respectively, Hence, this paper provide a novel strategy to produce high-efficient and economic immobilized lipases, which shows great potential in the green synthesis of functional lipids such as DAG.

In this study, the thermal deformation behavior of Cu–Ti–Zr(-Mg) alloys were investigated by Gleeble-1500D. The two alloys were deformed at 700–900 °C with 0.003–10 s−1 strain rate. The intrinsic equations of the two alloys were constructed and calculated thermal activation energies, which indicates that it is improved from 325.67 kJ/mol to 344.03 kJ/mol after Mg addition. The result showed that the hot working area of Cu–Ti–Zr alloy is greatly extended after Mg addition, and rheological instability area is reduced. The morphology of the alloys was observed to analyze thermal behavior. It revealed that Mg elements inhibited the occurrence of dynamic recrystallization and shifted the texture types in the alloys by characterization of EBSD. TEM results showed that the phases during hot deformation in Cu–Ti–Zr–Mg are Cu4Ti and Cu10Zr7, which are in a semi-coherent relationship with the Cu matrix.

Root regeneration is an important factor influencing the healing rate of graft union and the survival of double-root-cutting grafting. To date, little information is available on how to enhance root regeneration of rootstock in grafted watermelon (Citrullus lanatus) seedlings. In this study, the effects of different light treatments on root regeneration were determined. This revealed that addition of far-red light (Fr) could significantly expedite root formation in the rootstock. Moreover, the results of transcriptome analysis revealed that plant hormone pathway and auxin-related genes were greatly induced by Fr, especially for auxin-response proteins (including CmIAA11, CmIAA17, and CmAUX28), Small auxin-up RNA genes (including CmSAUR20 and CmSAUR50) and the auxin efflux transporter (CmPIN3). In addition, the expression of Phytochrome Interacting Factor (PIFs), such as CmPIF1, CmPIF3 and CmPIF7, was remarkably increased by Fr. These genes may act together to activate auxin-related pathways under Fr treatment. Based on the results of HPLC-MS/MS analysis, the concentrations of different auxin-types in adventitious root were significantly influenced by Fr. Furthermore, the better growth of rootstock root displayed superior vasculature transport activity of the graft union with Fr treatment, which was determined by the acid magenta dyeing experiment. Therefore, all the results suggested that Fr could induce AR formation in rootstocks, which may be associated with the auxin accumulation by regulating the transcriptional level of auxin-related and PIF genes. The findings of this study demonstrated a practicable way to shorten the healing period of graftings and improve the quality of grafted watermelon seedlings, which will provide a theoretical basis for the speeding development of industrialized seedlings production.

AIM: To compare the differences of choroidal neovascularization (CNV) measurements between swept-source and spectral-domain optical coherence tomography angiography (SS-OCTA and SD-OCTA) in neovascular age-related macular degeneration (nAMD) and the imaging reliability of the two devices. METHODS: Prospective comparative study. SS-OCTA and SD-OCTA were used to scan the same eye with the modes of 3×3 and 6×6 mm2 centered on the neovascularization. Only qualified images were chosen and the border of CNV was manually delineated by two graders independently. The area of CNV (ACNV), vascular perfusion density (PD), and vessel length density (VLD) within the delineation were calculated using Image J. The differences of CNV measurements between the two OCTA devices were compared using Bland-Altman analysis. The agreement between the two graders on the measurements of each device was compared using the intraclass correlation coefficient (ICC). RESULTS: A total of 18 patients (22 eyes) with nAMD were included. The measurements of ACNV, PD, and VLD were 7.247±4.586 and 4.901±3.741 mm2, 43.202±9.636 and 34.904±10.489, 6.339±1.228 and 5.908±1.741 mm-1 for SS-OCTA and SD-OCTA, respectively. The differences between the two devices were 2.346±3.030 mm2 (Z= -3.782, P

The successful applications of silicon carbide-ceramic matrix composites (SiC-CMCs) in aeronautical and aerospace industries require deeper understanding of their mechanical behaviors and failure mechanisms. The overview on tension and shear is then presented from meso-mechanics perspective, including matrix cracking, interface de-bonding and sliding, matrix crack propagation as well as fiber bridging. The results reveal that the matrix cracking stress is proportional to the interface sliding stress and the matrix fracture energy. The ratio of tensile to shear stress of the matrix cracking remains constant both in tension and in shear. In addition, the deflection of matrix cracks in the interface depends on the elastic modulus matching parameter, the angle between matrix cracks and interface, as well as the residual thermal stress. The matrix cracks propagate in a random or periodic pattern, which are proportional to the sliding length at the matrix cracking stress. The fiber bridging mechanism, related to the Weibull distribution of the fiber strength, determines the tensile and shear behaviors after the saturation of matrix cracks.

Among various metal oxide nanomaterials, manganese oxides, which can exist in different structures and valence states, are considered highly promising anode materials for lithium-ion batteries (LIBs). However, conventional manganese oxides, such as MnO and MnO2, face significant challenges during cycling process. Specifically, poor electronic conductivity and large volume changes result in low specific capacity during high current charging and discharging, as well as poor fast-charging performance. This work presents an approach to synthesizing porous hexagonal Mn5O8 nanosheets via hydrothermal and annealing methods and applies them as anode materials for LIBs. The Mn5O8 nanomaterials exhibit a thin plate morphology, which effectively reduces the distance for ion/electron transmission and mitigates the phenomenon of volume expansion. Additionally, the large pore size of Mn5O8 results in abundant interlayer and intralayer defects, which further increase the rate of ion transmission. These unique characteristics enable Mn5O8 to demonstrate excellent electrochemical performance (938.7 mAh·g−1 after 100 cycles at 100 mA·g−1) and fast charging performance (675.7 mAh·g−1 after 1000 cycles at 3000 mA·g−1), suggesting that Mn5O8 nanosheets have the potential to be an ideal fast-charging anode material for LIBs.

In recent years, the global photovoltaic industry has been booming, and the installed capacity of photovoltaic has climbed rapidly. The carbon emission of photovoltaic power generation is only 10% compared with that of traditional fossil fuel power generation. However, the service life of solar photovoltaic panels is only 20 to 25 years, and as the first batch of photovoltaic modules reach their life limit, the world will successively usher in the "retirement tide" of photovoltaic modules. To realize the harmless and green disposal of retired photovoltaic modules and recycle the secondary energy in photovoltaic modules is the key link of the sustainable development of photovoltaic industry. At present, the mainstream crystalline silicon photovoltaic modules are composed of photovoltaic glass, EVA (ethylene-vinyl acetate copolymer) film, crystalline silicon cell sheet and fluorine backplane. The complete photovoltaic glass and crystalline silicon cell have high economic value, so how to selectively remove EVA film and fluoride backplate is an important step in the recycling of retired photovoltaic modules. Based on this, this paper first introduces the structure and application of each part of crystalline silicon photovoltaic module. Then according to the physicochemical characteristics of each part, the advantages and disadvantages of various processes including thermal disposal, physical separation and chemical dissociation are analyzed in detail from the perspective of the integrity of photovoltaic module recovery. Existing studies have shown that the difficulties in the recovery of retired crystalline silicon photovoltaic modules are mainly in the following three aspects: the removal of EVA film with high efficiency, low pollution and low energy consumption, the harmless disposal of fluorine-containing substances in the backplane, and the removal of pyrolysis carbon residues on crystalline silicon cells. In view of the above difficulties, this paper outlooks the future development trend of recycling technology for decommissioned photovoltaic module, and puts forward some reasonable suggestions on the research and design of recycling technology for decommissioned photovoltaic module in China. This paper will provide an important technical guidance for the efficient green recycling of decommissioned photovoltaic modules.

Abstract Citrus red mites (P. citri) are key pests affecting citrus production worldwide due to pesticide resistance. The resistance mechanisms of ten pesticides are known, but a comprehensive study using transcriptome data is missing. This study employed deeptools, cuffdiff, rmats, bcftools and other software to examine gene expression variation, alternative splicing (AS), and mutations in mite resistance. The research highlighted that pesticides can regulate gene transcription, and red mites with resistance increase cytochrome P450, glutathione S-transferases, carboxylesterase, and acetylcholinesterase expression. Pyridaben also induces new AS events. Fluazinam-induced mites show mRNA splicing peaking earlier than transcription, both peaking at one day and returning to baseline after two days. AS profiles are similar in different mite populations with overlapping pesticide resistances. Lastly, specific mitochondrial SNPs in mites might mediate resistance against select pesticides.

Abstract The levels of fasting-state serum bile acids (BAs) in individuals with polycystic ovary syndrome (PCOS) differ from those of control subjects. However, there is a lack of research on the BAs profile in lean women with PCOS and whether these changes are linked to the host metabolism. Therefore, our objective was to investigate the synthesis and metabolism of serum BAs in lean women with PCOS and assess the correlation between BAs and clinical characteristics. This study employed a cross-sectional design of lean women with PCOS (n = 240) in comparison to a control group (n = 80) consisting of healthy lean women. The findings revealed significant increases in the levels of non-12-OH BAs and chenodeoxycholic acid (CDCA)% (both P

Abstract Objectives Observe the effect of integrated care for older people on intrinsic capacity in elderly patients. Methods Sixty elderly patients from department of Geriatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology between June 2021 and December 2021 were selected and divided into control group and intervention group with 30 patients in each group using random sampling method. Two groups implement routine care, and the intervention group implement integrated care by a “hospital-community-family” multidisciplinary team. After 12 weeks of intervention, the differences in frailty, cognition, depression scores, comprehension social support scores, and World Quality of Life Scale scores were compared between the two groups. Results Before intervention, there was no significant difference in the grip strength, step speed, frailty scores, cognition, depression scores, social support and quality of survival between the control group and the intervention group. After intervention, grip strength and depression scores improved both in the control group and the intervention group, but there was no difference between the two groups. Cognitive scores, comprehension social support and quality of survival scores improved only in the intervention group, while only the cognitive ability showed significant differences between the intervention group and the control group after 12 weeks of intervention (P

Intelligent shipping is a crucial part of the transportation system, while inland river intelligent shipping is a major safeguard of intelligent transportation. Compared with the studies of mobile fading channels in land-based environments, less current research has focused on channel measurements and modeling for inland waterway bridge environments. In this paper, a segmenting radio channel model is proposed for inland highway and railway combined bridges. The ship's path under the bridge was divided into three phases, and the attenuation of signal strength was modelled separately for each. Hence, it shows ship-to-ship wireless channels in different areas and path loss on inland navigation bridges. A segmented model, instead of a basic path loss model, can accurately forecast path loss and provide a practical approach in ship-to-ship wireless channel transmission scenarios over bridges. Consequently, the channel measurements and modeling in the typical inland waterway are of great significance for establishing a reliable inland navigation broadband radio communication system.

The consensus tracking problem of leader-follower multi-agent systems (MASs) with singular structures on jointly connected topology is studied in this paper. To achieve the objective of consensus tracking, a distributed adaptive control protocol is formulated to adjust the coupling weights among the agents using the adaptive rate, where the adaptive protocol can be implemented by each agent in a fully distributed manner without using any global information. A fuzzy logic system method is used to deal with the nonlinear terms in response to the limitations of nonlinear system analysis. The consensus tracking problem is transformed into an error system stability analysis, and two sufficient conditions are provided to guarantee the control objective based on Lyapunov stability theory and singular system theory. Finally, the effectiveness of this method is verified through a simulation example.

Abstract GWASs have linked the 3p21.1 locus, which is associated with the expression levels of NEK4, to bipolar disorder. Here, we use integrative analyses of GWAS statistics and eQTL annotations to establish that elevated NEK4 expression in the hippocampus is associated with an increased risk of bipolar disorder. To further study this association, we generate transgenic male mice that conditionally overexpress NEK4 in the pyramidal neurons of the adult forebrain, or use AAV to overexpress NEK4 in the dorsal hippocampus. Compared to the control mice, male mice of both strains exhibit a shift from a diurnal anxiety state to a nocturnal normal or anxiolytic-like state. Overexpression of NEK4 also affects the circadian fluctuations in dendritic spine morphology and synaptic structure. Furthermore, we show that treatment with lithium ameliorates the effects of NEK4 overexpression in male mice. We then perform phosphoproteomic analyses to demonstrate that the diurnal and nocturnal phosphoproteomic profiles of male control and NEK4 overexpressing mice are different. These results suggest that male mice with different NEK4 expression levels may recapitulate some of the core features observed in patients with bipolar disorder, indicating that interruption of the homeostatic dynamics of synapses may underlie the emotional swings in bipolar disorder.

The choroid plexus (ChP) serves as the principal origin of cerebrospinal fluid (CSF). CSF hypersecretion due to ChP inflammation has emerged as an important pathogenesis of hydrocephalus recently. Nevertheless, the precise mechanisms of ChP inflammation and the ensuing CSF hypersecretion in hydrocephalus remain ill-defined. In the present study, we elucidate the critical role of macrophages in the pathogenesis of ChP inflammation. Specifically, we identify the chemokine CCL2, released by ChP epithelial cells, recruits CCR2+ monocytes to the ChP thereby inciting hydrocephalus pathogenesis. The accumulated ChP macrophages increase the inflammation in ChP epithelial cells through TNF-α/TNFR1/NF-κB signaling cascade, thereby leading to CSF hypersecretion. Strikingly, augmentation of ChP‒CCL2 using an adeno-associated viral approach (AAV) exacerbates macrophage recruitment, activation, and ventriculomegaly in rat PHH models. Systemic application of Bindarit, a specific CCL2 inhibitor, significantly inhibits ChP macrophage infiltration and activation and reduces CSF secretion rate. Furthermore, the administration of CCR2 antagonist (INCB 3284) reduces ChP macrophage accumulation and ventriculomegaly. This study not only unveils the ChP CCL2‒CCR2 signaling in the pathophysiology of hydrocephalus but also unveils Bindarit as a promising therapeutic choice for the management of posthemorrhagic hydrocephalus.

Objective: To investigate the mechanism of electroacupuncture (EA) for treating depression and to explore the role of brevican in the medial prefrontal cortex (mPFC) in modulating stress susceptibility and the antidepressant effects of EA in rats. Methods: Twenty-four Sprague–Dawley (SD) rats were equally divided into three groups: green fluorescent protein (GFP) + control, GFP + chronic unpredicted mild stress (CUMS), and short-hairpin RNA targeting on brevican (shBcan) + CUMS. Another 24 SD rats were equally divided into CUMS + GFP, CUMS + GFP + EA, and CUMS + shBcan + EA groups. Behavioral tests were conducted to assess depression-like behavior. Western blot analysis was used to evaluate the expression of brevican, aggrecan, GLuA1, and PSD95 in mPFC subregions. Results: Behavioral parameter evaluation show that rats in the shBcan + CUMS group exhibited a significantly reduced sucrose preference (P = .0002) and increased immobility time (P = .0011) compared to those in rats in the GFP + CUMS group. Western blotting showed that brevican expression was significantly downregulated in the PrL of the shBcan + CUMS group compared with that in the GFP + CUMS group (P = .0192). Furthermore, compared to the CUMS + GFP + EA group, the CUMS + shBcan + EA group exhibited a significantly decreased sucrose preference (P = .0334), increased immobility time (P = .0465), and increased latency to food (P = .0261). In the CUMS + shBcan + EA group, the EA-induced brevican and PSD95 overexpression was reversed, compared with that in the CUMS + GFP + EA group (P = .0454 and P = .0198, respectively). Conclusion: EA exerts its antidepressant effects through the modulation of brevican expression in rats. Our findings highlight the important role for brevican in stress susceptibility, which could be a potential target for treating depression.

Abstract Ovarian cancer is the second leading cause of gynecologic cancer death worldwide, with only 20% of cases detected early due to its elusive nature, limiting successful treatment. Most deaths occur from the disease progressing to advanced stages. Despite advances in chemo- and immunotherapy, the 5-year survival remains below 50% due to high recurrence and chemoresistance. Therefore, leveraging new research perspectives to understand molecular signatures and identify novel therapeutic targets is crucial for improving the clinical outcomes of ovarian cancer. Alternative splicing, a fundamental mechanism of post-transcriptional gene regulation, significantly contributes to heightened genomic complexity and protein diversity. Increased awareness has emerged about the multifaceted roles of alternative splicing in ovarian cancer, including cell proliferation, metastasis, apoptosis, immune evasion, and chemoresistance. We begin with an overview of altered splicing machinery, highlighting increased expression of spliceosome components and associated splicing factors like BUD31, SF3B4, and CTNNBL1, and their relationships to ovarian cancer. Next, we summarize the impact of specific variants of CD44, ECM1, and KAI1 on tumorigenesis and drug resistance through diverse mechanisms. Recent genomic and bioinformatics advances have enhanced our understanding. By incorporating data from The Cancer Genome Atlas RNA-seq, along with clinical information, a series of prognostic models have been developed, which provided deeper insights into how the splicing influences prognosis, overall survival, the immune microenvironment, and drug sensitivity and resistance in ovarian cancer patients. Notably, novel splicing events, such as PIGV|1299|AP and FLT3LG|50,941|AP, have been identified in multiple prognostic models and are associated with poorer and improved prognosis, respectively. These novel splicing variants warrant further functional characterization to unlock the underlying molecular mechanisms. Additionally, experimental evidence has underscored the potential therapeutic utility of targeting alternative splicing events, exemplified by the observation that knockdown of splicing factor BUD31 or antisense oligonucleotide-induced BCL2L12 exon skipping promotes apoptosis of ovarian cancer cells. In clinical settings, bevacizumab, a humanized monoclonal antibody that specifically targets the VEGF-A isoform, has demonstrated beneficial effects in the treatment of patients with advanced epithelial ovarian cancer. In conclusion, this review constitutes the first comprehensive and detailed exposition of the intricate interplay between alternative splicing and ovarian cancer, underscoring the significance of alternative splicing events as pivotal determinants in cancer biology and as promising avenues for future diagnostic and therapeutic intervention.

Abstract Cell-derived extracellular vesicles (EVs), which carry diverse biomolecules such as nucleic acids, proteins, metabolites, and lipids reflecting their cell of origin, are released under both physiological and pathological conditions. EVs have been demonstrated to mediate cell-to-cell communication and serve as biomarkers. EV-associated DNA (EV-DNA) comprises genomic and mitochondrial DNA (i.e., gDNA and mtDNA) fragments. Some studies have revealed that EV-DNA can represent the full nuclear genome and mitochondrial genome of parental cells. Furthermore, DNA fragments loaded into EVs are stable and can be transferred to recipient cells to regulate their biological functions. In this review, we summarized and discussed EV-DNA research advances with an emphasis on EV-DNA detection at the population-EV and single-EV levels, gene transfer-associated biological functions, and clinical applications as biomarkers for disease liquid biopsy. We hope that this review will provide potential directions or guidance for future EV-DNA investigations.

Abstract In recent years, cell therapy research and commercialization have significantly accelerated, especially after the US FDA approved CAR-T therapy. While cell therapy now leads immuno-oncology in clinical trials, challenges such as redundant R&D, target clustering, and unmet clinical need remain. Since 2017, China has established a dual-track regulatory framework, facilitating rapid growth in its cell therapy pipeline, making it the second largest in the world. Despite this progress, China faces similar global challenges. Our study covers 2,794 registered cell therapy clinical trials in China, including 2,045 for immune cell, 683 for stem cell, and 66 for other somatic cell. It compares cell therapy products approved in China, the US, EU, and Japan, analyzes the evolving clinical trials landscape, and highlights the characteristics of investigator-initiated trials (IITs) and industry-sponsored trials (ISTs) in China. Our findings indicate that despite the high disease burden and unmet clinical needs for solid tumors in China, over 38% of trials between 2021 and 2023 focused on hematologic malignancies with established targets like CD19 and BCMA. Over 90% of trials are IITs, which show notable clinical differences from ISTs. We recommend that Chinese regulators establish specific guidelines to promote clinical-value-driven research. Stricter regulatory standards should also be implemented to minimize redundant R&D. Additionally, a value-based reimbursement system for within-class targeted cell therapy products may further reduce duplicated R&D efforts. Given the prevalence of IITs, specifying requirements for IITs could create a new pathway to accelerate product development and better address unmet clinical needs in China.

Gastrochilus balangshanensis, a new orchid species from the Balang Mountain, Sichuan Province, Southwest China, is described and illustrated. It morphologically resembles G. affinis, but differs in having shorter stems, a reniform epichile and a sub-hemispherical hypochile (spur), obtuse-rounded at the apex. The results of molecular phylogenetic analyses based on nuclear ribosome internal transcribed spacer (nrITS) and four chloroplast DNA markers (matK, psbA–trnH, psbM–trnD and trnL–F) from 50 Gastrochilus species indicate that G. balangshanensis is closely related to G. heminii and G. bernhardtianus, also endemic to the Hengduan Mountains. The novelty is a branch and trunk epiphyte in mixed coniferous forest.

Abstract Addressing the rise in global temperatures and the associated increase in greenhouse gases, particularly carbon dioxide, is a critical challenge necessitating innovative approaches within the building sector, a significant contributor to worldwide carbon emissions. While previous studies have demonstrated the prefabrication’s potential in reducing emissions, comprehensive assessments using actual project data for buildings constructed entirely with modular methods in Hong Kong are lacking. This study bridges this gap by evaluating the modular integrated construction (MiC) method through an embodied carbon assessment of the Kai Tak Community Isolation Facility. Using comprehensive project data from China State Construction (HK) Limited, the research conducts a comparative analysis between the actual emissions of the MiC method and those of a hypothetical conventional construction approach. Quantitative analysis reveals that MiC achieves a 20.7% reduction in embodied carbon, primarily due to shortened construction timelines, decreased waste generation, and optimized material usage. This significant reduction suggests substantial potential for decreasing the construction industry’s carbon footprint. The study provides empirical evidence supporting the environmental benefits of MiC in Hong Kong construction industry, promoting its broader adoption of MiC as a strategy for achieving carbon reduction targets. The findings align with Hong Kong’s carbon neutrality goals and contribute to the global initiative to mitigate the effects of climate change.

Abstract Remaining useful life (RUL) is a key indicator for assessing the health status of lithium (Li)-ion batteries, and realizing accurate and reliable RUL prediction is crucial for the proper operation of battery systems. As high-capacity Li batteries have more complex chemical properties, most of the current RUL prediction methods rely mainly on a priori knowledge to make judgments. As a result, prediction accuracy is not high. In this study, we developed a health indicator-capacity (HI-C) dual Gaussian process regression (GPR) model based on incremental capacity analysis (ICA) and optimized its kernel function to achieve accurate RUL prediction for 280 Ah high-capacity Li batteries. Validation against the United States National Aeronautics and Space Administration’s four battery test datasets showed that the use of the HI-C dual GPR model resulted in a mean absolute percentage error and root mean square error of less than 0.02 and 0.04, respectively, for the four battery-rated capacity predictions. Additionally, this model achieved an absolute error of less than five battery failure turns. Compared with a single model, the HI-C dual GPR model not only had high accuracy but also solved the problem that the HI was not measurable in the actual battery operation, which made it more suitable for RUL prediction of Li batteries.