BACKGROUND Hepatocellular carcinoma(HCC)is an inflammation-associated tumor with a dismal prognosis.Immunotherapy has become an important treatment strategy for HCC,as immunity is closely related to inflammation in th...BACKGROUND Hepatocellular carcinoma(HCC)is an inflammation-associated tumor with a dismal prognosis.Immunotherapy has become an important treatment strategy for HCC,as immunity is closely related to inflammation in the tumor microenvir-onment.Inflammation regulates the expression of programmed death ligand-1(PD-L1)in the immunosuppressive tumor microenvironment and affects im-munotherapy efficacy.Interleukin-17A(IL-17A)is involved in the remodeling of the tumor microenvironment and plays a protumor or antitumor role in different tumors.We hypothesized that IL-17A participates in tumor progression by affe-cting the level of immune checkpoint molecules in HCC.The upregulation of PD-L1 expression in HCC cells by IL-17A was assessed by reverse transcription PCR,western blotting,and flow cytometry.Mechanistic studies were conducted with gene knockout models and pathway inhibitors.The function of IL-17A in immune evasion was explored through coculture of T cells and HCC cells.The effects of IL-17A on the malignant biological behaviors of HCC cells were evaluated in vitro,and the antitumor effects of an IL-17A inhibitor and its synergistic effects with a PD-L1 inhibitor were studied in vivo.RESULTS IL-17A upregulated PD-L1 expression in HCC cells in a dose-dependent manner,whereas IL-17A receptor knockout or treatment with a small mothers against decapentaplegic 2 inhibitor diminished the PD-L1 expression induced by IL-17A.IL-17A enhanced the survival of HCC cells in the coculture system.IL-17A increased the viability,G2/M ratio,and migration of HCC cells and decreased the apoptotic index.Cyclin D1,VEGF,MMP9,and Bcl-1 expression increased after IL-17A treatment,whereas BAX expression decreased.The combination of IL-17A and PD-L1 inhibitors showed synergistic antitumor efficacy and increased cluster of differentiation 8+T lymphocyte infiltration in an HCC mouse model.CONCLUSION IL-17A upregulates PD-L1 expression via the IL-17A receptor/phosphorylation-small mothers against decapenta-plegic 2 signaling pathway in HCC cells.Blocking IL-17A enhances the therapeutic efficacy of PD-L1 antibodies in HCC in vivo.展开更多
BACKGROUND Gastric cancer(GC)is one of the most common malignancies worldwide,and Helicobacter pylori(HP)infection is a well-established risk factor for its development.Programmed death-ligand 1(PD-L1)expression is a ...BACKGROUND Gastric cancer(GC)is one of the most common malignancies worldwide,and Helicobacter pylori(HP)infection is a well-established risk factor for its development.Programmed death-ligand 1(PD-L1)expression is a crucial biomarker for predicting the efficacy of immune checkpoint inhibitors in cancer treatment.While HP infection and PD-L1 expression in GC may be linked,the relationship between them remains unclear,in part because there have been conflicting results reported from various studies.AIM To perform a meta-analysis to assess the relationship between HP and PD-L1 expression in patients with GC.METHODS A systematic literature review was conducted using PubMed,Embase,Cochrane Library,and Web of Science databases.Observational studies that examined the association between HP infection and PD-L1 expression in patients with GC were included.Odds ratios and 95%confidence intervals were calculated to estimate the association.Heterogeneity was assessed using Cochrane’s Q test and I²statistic.A random-effects model was used due to significant heterogeneity across studies.RESULTS Fourteen studies involving a total of 3069 patients with GC were included.The pooled analysis showed a significant association between HP infection and increased PD-L1 expression in GC tissues(odd ratio=1.69,95%confidence interval:1.24-2.29,P<0.001,I^(2)=59%).Sensitivity analyses confirmed the robustness of these findings.Subgroup analyses did not show significant variation based on geographic region,sample size,or method of PD-L1 assessment.Publication bias was minimal,as shown by funnel plots and Egger’s regression test.CONCLUSION HP infection is associated with increased PD-L1 expression in GC,suggesting that HP status may influence the response to programmed cell death protein 1/PD-L1 blockade therapy.展开更多
Over the last two decades,the dogma that cell fate is immutable has been increasingly challenged,with important implications for regenerative medicine.The brea kth rough discovery that induced pluripotent stem cells c...Over the last two decades,the dogma that cell fate is immutable has been increasingly challenged,with important implications for regenerative medicine.The brea kth rough discovery that induced pluripotent stem cells could be generated from adult mouse fibroblasts is powerful proof that cell fate can be changed.An exciting extension of the discovery of cell fate impermanence is the direct cellular reprogram ming hypothesis-that terminally differentiated cells can be reprogrammed into other adult cell fates without first passing through a stem cell state.展开更多
The brain's extracellular matrix(ECM),which is comprised of protein and glycosaminoglycan(GAG)scaffolds,constitutes 20%-40% of the human brain and is considered one of the largest influencers on brain cell functio...The brain's extracellular matrix(ECM),which is comprised of protein and glycosaminoglycan(GAG)scaffolds,constitutes 20%-40% of the human brain and is considered one of the largest influencers on brain cell functioning(Soles et al.,2023).Synthesized by neural and glial cells,the brain's ECM regulates a myriad of homeostatic cellular processes,including neuronal plasticity and firing(Miyata et al.,2012),cation buffering(Moraws ki et al.,2015),and glia-neuron interactions(Anderson et al.,2016).Considering the diversity of functions,dynamic remodeling of the brain's ECM indicates that this understudied medium is an active participant in both normal physiology and neurological diseases.展开更多
BACKGROUND Breast cancer(BC)continues to occupy a leading position in terms of morbidity and mortality from malignant neoplasms among the female population.One of the promising markers associated with BC progression i...BACKGROUND Breast cancer(BC)continues to occupy a leading position in terms of morbidity and mortality from malignant neoplasms among the female population.One of the promising markers associated with BC progression is programmed death ligand 1(PD-L1).Previously,we investigated PD-L1 expression in BC via a new antibody against programmed cell death protein 1 ligand 1(PDCD1 LG1)and reported that high PDCD1 LG1 expression in tumor cells is an independent factor for a high risk of regional metastasis in patients with BC.However,the prognostic significance of PDCD1 LG1 expression in BC stromal cells has not been adequately studied.AIM To study the features of PDCD1 LG1 expression in BC stromal cells and its relationship with BC clinicopathological characteristics.METHODS In a prospective single-center observational study,tumor samples from 148 patients with newly diagnosed BC were examined.The tumor sections were immunohistochemically stained with antibodies against PDCD1 LG1.In the tumor samples,the PDCD1 LG1-positive lymphocyte(PDCD1 LG1+LF)score,presence of nuclear PDCD1 LG1 expression in the LFs,PDCD1 LG1 expression in polymorphic cell infiltrates(PDCD1 LG1+polymorphic cell infiltrates[PCIs]),and cells of the fibroblastic stroma and endothelial cells of the tumor microvessels were assessed.Statistical analyses were performed using Statistica 10.0 software.RESULTS A PDCD1 LG1+LF score≥3 was detected more often at stages N0 and N3 than at N1 and N2(P=0.03).Moderate and pronounced PDCD1 LG1+PCIs and the presence of PDCD1 LG1+fibroblastic stroma were associated with negative estrogen receptor status(P=0.0008 and P=0.03,respectively),human epidermal growth factor receptor 2-positive(HER2+)BC(P<0.00001 and P=0.0005),and luminal B HER2+,non-luminal HER2+and triple-negative BC(P<0.00001 and P=0.004).The risk of metastasis to regional lymph nodes(RLNs)depend on lymphovascular invasion(LVI)and the PDCD1 LG1+LF score.In the absence of LVI and a PDCD1 LG1+LF score<3 or≥3,metastases in RLNs were absent in 66.6%and 93.9%of patients with BC,respectively.In the presence of LVI and a PDCD1 LG1+LF score<3 or≥3,metastases in RLNs were detected in 82.6%and 92.7%of patients with BC,respectively.CONCLUSION The results indicated that the combined assessment of the PDCD1 LG1+LF score and LVI can improve the accuracy of predicting the risk of metastasis to RLNs in patients with BC.展开更多
Generating dynamically feasible trajectory for fixed-wing Unmanned Aerial Vehicles(UAVs)in dense obstacle environments remains computationally intractable.This paper proposes a Safe Flight Corridor constrained Sequent...Generating dynamically feasible trajectory for fixed-wing Unmanned Aerial Vehicles(UAVs)in dense obstacle environments remains computationally intractable.This paper proposes a Safe Flight Corridor constrained Sequential Convex Programming(SFC-SCP)to improve the computation efficiency and reliability of trajectory generation.SFC-SCP combines the front-end convex polyhedron SFC construction and back-end SCP-based trajectory optimization.A Sparse A^(*)Search(SAS)driven SFC construction method is designed to efficiently generate polyhedron SFC according to the geometric relation among obstacles and collision-free waypoints.Via transforming the nonconvex obstacle-avoidance constraints to linear inequality constraints,SFC can mitigate infeasibility of trajectory planning and reduce computation complexity.Then,SCP casts the nonlinear trajectory optimization subject to SFC into convex programming subproblems to decrease the problem complexity.In addition,a convex optimizer based on interior point method is customized,where the search direction is calculated via successive elimination to further improve efficiency.Simulation experiments on dense obstacle scenarios show that SFC-SCP can generate dynamically feasible safe trajectory rapidly.Comparative studies with state-of-the-art SCP-based methods demonstrate the efficiency and reliability merits of SFC-SCP.Besides,the customized convex optimizer outperforms off-the-shelf optimizers in terms of computation time.展开更多
Deep-time Earth research plays a pivotal role in deciphering the rates,patterns,and mechanisms of Earth's evolutionary processes throughout geological history,providing essential scientific foundations for climate...Deep-time Earth research plays a pivotal role in deciphering the rates,patterns,and mechanisms of Earth's evolutionary processes throughout geological history,providing essential scientific foundations for climate prediction,natural resource exploration,and sustainable planetary stewardship.To advance Deep-time Earth research in the era of big data and artificial intelligence,the International Union of Geological Sciences initiated the“Deeptime Digital Earth International Big Science Program”(DDE)in 2019.At the core of this ambitious program lies the development of geoscience knowledge graphs,serving as a transformative knowledge infrastructure that enables the integration,sharing,mining,and analysis of heterogeneous geoscience big data.The DDE knowledge graph initiative has made significant strides in three critical dimensions:(1)establishing a unified knowledge structure across geoscience disciplines that ensures consistent representation of geological entities and their interrelationships through standardized ontologies and semantic frameworks;(2)developing a robust and scalable software infrastructure capable of supporting both expert-driven and machine-assisted knowledge engineering for large-scale graph construction and management;(3)implementing a comprehensive three-tiered architecture encompassing basic,discipline-specific,and application-oriented knowledge graphs,spanning approximately 20 geoscience disciplines.Through its open knowledge framework and international collaborative network,this initiative has fostered multinational research collaborations,establishing a robust foundation for next-generation geoscience research while propelling the discipline toward FAIR(Findable,Accessible,Interoperable,Reusable)data practices in deep-time Earth systems research.展开更多
BACKGROUND Irreversible electroporation(IRE)is a novel local tumor ablation approach with the potential to activate the host’s immune system.However,this approach is insufficient to prevent cancer progression,and com...BACKGROUND Irreversible electroporation(IRE)is a novel local tumor ablation approach with the potential to activate the host’s immune system.However,this approach is insufficient to prevent cancer progression,and complementary approaches are required for effective immunotherapy.AIM To assess the immunomodulatory effects and mechanism of IRE combined antiprogrammed cell death protein 1(PD-1)treatment in subcutaneous pancreatic cancer models.METHODS C57BL-6 tumor-bearing mice were randomly divided into four groups:Control group;IRE group;anti-PD-1 group;and IRE+anti-PD-1 group.Tumor-infiltrating T,B,and natural killer cell levels and plasma concentrations of T helper type 1 cytokines(interleukin-2,interferon-γ,and tumor necrosis factor-α)were evaluated.Real-time PCR was used to determine the expression of CD8(marker of CD8+T cells)in tumor tissues of the mice of all groups at different points of time.The growth curves of tumors were drawn.RESULTS The results demonstrated that the IRE+anti-PD-1 group exhibited significantly higher percentages of T lymphocyte infiltration,including CD4+and CD8+T cells compared with the control group.Additionally,the IRE+anti-PD-1 group showed increased infiltration of natural killer and B cells,elevated cytokine levels,and higher CD8 mRNA expression.Tumor volume was significantly reduced in the IRE+anti-PD-1 group,indicating a more pronounced therapeutic effect.CONCLUSION The combination of IRE and anti-PD-1 therapy promotes CD8+T cell immunity responses,leading to a more effective reduction in tumor volume and improved therapeutic outcomes,which provides a new direction for ablation and immunotherapy of pancreatic cancer.展开更多
BACKGROUND Pancreatic ductal adenocarcinoma(PDAC)is a highly aggressive cancer with poor prognosis.When it metastasizes to the liver,treatment options become particularly limited and challenging.Current treatment opti...BACKGROUND Pancreatic ductal adenocarcinoma(PDAC)is a highly aggressive cancer with poor prognosis.When it metastasizes to the liver,treatment options become particularly limited and challenging.Current treatment options for liver metastatic PDAC are limited,and chemotherapy alone often proves insufficient.Immunotherapy,particularly programmed cell death 1(PD-1)inhibitors like sintilimab,shows potential efficacy for various cancers but has limited reports on PDAC.This study compares the efficacy and safety of sintilimab plus S-1 and gemcitabine vs S-1 and gemcitabine alone in liver metastatic PDAC.AIM To explore the feasibility and effectiveness of combined PD-1 inhibitor sintilimab and S-1 and gemcitabine(combination group)vs S-1 and gemcitabine used alone(chemotherapy group)for treating liver metastatic pancreatic adenocarcinoma.METHODS Eligible patients were those with only liver metastatic PDAC,an Eastern Cooperative Oncology Group performance status of 0-1,adequate organ and marrow functions,and no prior anticancer therapy.Participants in the combination group received intravenous sintilimab 200 mg every 3 weeks,oral S-140 mg/m²twice daily on days 1-14 of a 21-day cycle,and intravenous gemcitabine 1000 mg/m²on days 1 and 8 of the same cycle for up to eight cycles or until disease progression,death,or unacceptable toxicity.Participants in the chemotherapy group received oral S-140 mg/m²twice daily on days 1-14 of a 21-day cycle and intravenous gemcitabine 1000 mg/m²on days 1 and 8 of the same cycle for up to eight cycles.Between June 2020 and December 2021,66 participants were enrolled,with 32 receiving the combination treatment and 34 receiving chemotherapy alone.RESULTS The group receiving the combined therapy exhibited a markedly prolonged median overall survival(18.8 months compared to 10.3 months,P<0.05)and progression-free survival(9.6 months vs 5.4 months,P<0.05).compared to the chemotherapy group.The incidence of severe adverse events did not differ significantly between the two groups(P>0.05).CONCLUSION The combination of PD-1 inhibitor sintilimab with S-1 and gemcitabine demonstrated effectiveness and safety for treating liver metastatic PDAC,meriting further investigation.展开更多
This study proposes a novel approach to optimizing individual work schedules for book digitization using mixed-integer programming (MIP). By leveraging the power of MIP solvers, we aimed to minimize the overall digiti...This study proposes a novel approach to optimizing individual work schedules for book digitization using mixed-integer programming (MIP). By leveraging the power of MIP solvers, we aimed to minimize the overall digitization time while considering various constraints and process dependencies. The book digitization process involves three key steps: cutting, scanning, and binding. Each step has specific requirements and limitations such as the number of pages that can be processed simultaneously and potential bottlenecks. To address these complexities, we formulate the problem as a one-machine job shop scheduling problem with additional constraints to capture the unique characteristics of book digitization. We conducted a series of experiments to evaluate the performance of our proposed approach. By comparing the optimized schedules with the baseline approach, we demonstrated significant reductions in the overall processing time. In addition, we analyzed the impact of different weighting schemes on the optimization results, highlighting the importance of identifying and prioritizing critical processes. Our findings suggest that MIP-based optimization can be a valuable tool for improving the efficiency of individual work schedules, even in seemingly simple tasks, such as book digitization. By carefully considering specific constraints and objectives, we can save time and leverage resources by carefully considering specific constraints and objectives.展开更多
In order to solve the code debugging difficulties faced by students and relieve the pressure of manual personalized tutoring,this paper proposes a method for locating faults in student code,called SCFL(student code fa...In order to solve the code debugging difficulties faced by students and relieve the pressure of manual personalized tutoring,this paper proposes a method for locating faults in student code,called SCFL(student code fault location).This method utilizes a historical correct code repository composed of correct codes submitted by previous students in the same assignments.It standardizes the erroneous code and historical correct code variables simultaneously and calculates the abstract syntax change tree.Then,by establishing the mapping between the abstract syntax change tree and the student assignment code,the fault location results of the student assignment are calculated.The evaluation experiments show that the SCFL method has a result of 9.25 in the cumulative inspection statement count and 15.9%in the fault localization cost indicator.Both indicators are better than the three currently commonly used spectrum-based baseline methods.展开更多
With the rapid development of artificial intelligence technology,AIGC(Artificial Intelligence-Generated Content)has triggered profound changes in the field of high-level language programming courses.This paper deeply ...With the rapid development of artificial intelligence technology,AIGC(Artificial Intelligence-Generated Content)has triggered profound changes in the field of high-level language programming courses.This paper deeply explored the application principles,advantages,and limitations of AIGC in intelligent code generation,analyzed the new mode of human-computer collaboration in high-level language programming courses driven by AIGC,discussed the impact of human-computer collaboration on programming efficiency and code quality through practical case studies,and looks forward to future development trends.This research aims to provide theoretical and practical guidance for high-level language programming courses and promote innovative development of high-level language programming courses under the human-computer collaboration paradigm.展开更多
BACKGROUND In recent years,emerging clinical research has prioritized assessment of combined therapeutic efficacy and safety parameters when programmed death 1 or its ligand(PD-1/L1)inhibitors are incorporated into fi...BACKGROUND In recent years,emerging clinical research has prioritized assessment of combined therapeutic efficacy and safety parameters when programmed death 1 or its ligand(PD-1/L1)inhibitors are incorporated into first-line standard-of-care(SOC)therapy for metastatic colorectal cancer(mCRC).However,data obtained from these trials demonstrated conflicting evidence concerning survival benefits and clinical outcomes.AIM To evaluate the therapeutic impact and safety parameters of combining PD-1/L1 inhibitors with SOC protocols as first-line treatment for mCRC.METHODS Four biomedical databases(PubMed,Embase,Cochrane Library,Web of Science)were systematically interrogated to identify eligible studies published up to October 12,2024.The analysis focused on evaluating the primary outcome of overall survival(OS)in the mCRC population with secondary outcomes of progression-free survival(PFS),overall response rate(ORR),and incidence rate of grade≥3 adverse events.Additionally,we performed exploratory analyses in the microsatellite stable/mismatch repair-proficient(MSS/pMMR)subpopulation,based on a subset of the included studies.Subgroup analyses according to PD-1/L1 inhibitor use were conducted in both the overall population and the MSS/pMMR subgroup.RESULTS This pooled analysis incorporated six randomized controlled trials involving 675 patients with mCRC receiving first-line therapy.The combination of PD-1/L1 inhibitors with SOC regimens demonstrated a significant PFS advantage over SOC monotherapy in intention-to-treat populations[hazard ratio(HR)=0.8,95%confidence interval(CI):0.65-0.98,P=0.033].Nevertheless,the MSS/pMMR subgroup showed no PFS benefit(HR=0.83,95%CI:0.67-1.03,P=0.091),and no cohort exhibited OS improvement(intention-to-treat:HR=0.84,95%CI:0.66-1.05,P=0.124;MSS/pMMR:HR=0.79,95%CI:0.60-1.03,P=0.083).Comparable outcomes were observed for ORR(risk ratio=1.03,95%CI:0.90-1.17,P=0.711)and incidence rate of grade≥3 adverse events(risk ratio=1.12,95%CI:0.93-1.36,P=0.245)between treatment arms.CONCLUSION The findings indicated that integrating PD-1/L1 blocking agents with SOC regimens for mCRC as first-line treatment failed to demonstrate significant improvements in ORR.Existing clinical data remain inadequate to establish OS advantages,particularly in patients with MSS/pMMR,despite exhibiting manageable toxicity profiles.Subsequent confirmation through rigorously designed phase III clinical trials remains essential to verify these therapeutic outcomes.展开更多
Computing-in-memory(CIM)has been a promising candidate for artificial-intelligent applications thanks to the absence of data transfer between computation and storage blocks.Resistive random access memory(RRAM)based CI...Computing-in-memory(CIM)has been a promising candidate for artificial-intelligent applications thanks to the absence of data transfer between computation and storage blocks.Resistive random access memory(RRAM)based CIM has the advantage of high computing density,non-volatility as well as high energy efficiency.However,previous CIM research has predominantly focused on realizing high energy efficiency and high area efficiency for inference,while little attention has been devoted to addressing the challenges of on-chip programming speed,power consumption,and accuracy.In this paper,a fabri-cated 28 nm 576K RRAM-based CIM macro featuring optimized on-chip programming schemes is proposed to address the issues mentioned above.Different strategies of mapping weights to RRAM arrays are compared,and a novel direct-current ADC design is designed for both programming and inference stages.Utilizing the optimized hybrid programming scheme,4.67×programming speed,0.15×power saving and 4.31×compact weight distribution are realized.Besides,this macro achieves a normalized area efficiency of 2.82 TOPS/mm2 and a normalized energy efficiency of 35.6 TOPS/W.展开更多
With the widespread application of large language models(LLMs)in natural language processing and code generation,traditional High-Level Language Programming courses are facing unprecedented challenges and opportunitie...With the widespread application of large language models(LLMs)in natural language processing and code generation,traditional High-Level Language Programming courses are facing unprecedented challenges and opportunities.As a core programming language for computer science majors,C language remains irreplaceable due to its foundational nature and engineering adaptability.This paper,based on the rapid development of large model technologies,proposes a systematic reform design for C language teaching,focusing on teaching objectives,content structure,teaching methods,and evaluation systems.The article suggests a teaching framework centered on“human-computer collaborative programming,”integrating prompt training,AI-assisted debugging,and code generation analysis,aiming to enhance students’problem modeling ability,programming expression skills,and AI collaboration literacy.展开更多
基金Supported by the Natural Science Foundation of Gansu Province,No.21JR7RA373 and No.24JRRA295.
文摘BACKGROUND Hepatocellular carcinoma(HCC)is an inflammation-associated tumor with a dismal prognosis.Immunotherapy has become an important treatment strategy for HCC,as immunity is closely related to inflammation in the tumor microenvir-onment.Inflammation regulates the expression of programmed death ligand-1(PD-L1)in the immunosuppressive tumor microenvironment and affects im-munotherapy efficacy.Interleukin-17A(IL-17A)is involved in the remodeling of the tumor microenvironment and plays a protumor or antitumor role in different tumors.We hypothesized that IL-17A participates in tumor progression by affe-cting the level of immune checkpoint molecules in HCC.The upregulation of PD-L1 expression in HCC cells by IL-17A was assessed by reverse transcription PCR,western blotting,and flow cytometry.Mechanistic studies were conducted with gene knockout models and pathway inhibitors.The function of IL-17A in immune evasion was explored through coculture of T cells and HCC cells.The effects of IL-17A on the malignant biological behaviors of HCC cells were evaluated in vitro,and the antitumor effects of an IL-17A inhibitor and its synergistic effects with a PD-L1 inhibitor were studied in vivo.RESULTS IL-17A upregulated PD-L1 expression in HCC cells in a dose-dependent manner,whereas IL-17A receptor knockout or treatment with a small mothers against decapentaplegic 2 inhibitor diminished the PD-L1 expression induced by IL-17A.IL-17A enhanced the survival of HCC cells in the coculture system.IL-17A increased the viability,G2/M ratio,and migration of HCC cells and decreased the apoptotic index.Cyclin D1,VEGF,MMP9,and Bcl-1 expression increased after IL-17A treatment,whereas BAX expression decreased.The combination of IL-17A and PD-L1 inhibitors showed synergistic antitumor efficacy and increased cluster of differentiation 8+T lymphocyte infiltration in an HCC mouse model.CONCLUSION IL-17A upregulates PD-L1 expression via the IL-17A receptor/phosphorylation-small mothers against decapenta-plegic 2 signaling pathway in HCC cells.Blocking IL-17A enhances the therapeutic efficacy of PD-L1 antibodies in HCC in vivo.
文摘BACKGROUND Gastric cancer(GC)is one of the most common malignancies worldwide,and Helicobacter pylori(HP)infection is a well-established risk factor for its development.Programmed death-ligand 1(PD-L1)expression is a crucial biomarker for predicting the efficacy of immune checkpoint inhibitors in cancer treatment.While HP infection and PD-L1 expression in GC may be linked,the relationship between them remains unclear,in part because there have been conflicting results reported from various studies.AIM To perform a meta-analysis to assess the relationship between HP and PD-L1 expression in patients with GC.METHODS A systematic literature review was conducted using PubMed,Embase,Cochrane Library,and Web of Science databases.Observational studies that examined the association between HP infection and PD-L1 expression in patients with GC were included.Odds ratios and 95%confidence intervals were calculated to estimate the association.Heterogeneity was assessed using Cochrane’s Q test and I²statistic.A random-effects model was used due to significant heterogeneity across studies.RESULTS Fourteen studies involving a total of 3069 patients with GC were included.The pooled analysis showed a significant association between HP infection and increased PD-L1 expression in GC tissues(odd ratio=1.69,95%confidence interval:1.24-2.29,P<0.001,I^(2)=59%).Sensitivity analyses confirmed the robustness of these findings.Subgroup analyses did not show significant variation based on geographic region,sample size,or method of PD-L1 assessment.Publication bias was minimal,as shown by funnel plots and Egger’s regression test.CONCLUSION HP infection is associated with increased PD-L1 expression in GC,suggesting that HP status may influence the response to programmed cell death protein 1/PD-L1 blockade therapy.
基金supported by Canada First Research Excellence Fund,Medicine by Design(to CMM)。
文摘Over the last two decades,the dogma that cell fate is immutable has been increasingly challenged,with important implications for regenerative medicine.The brea kth rough discovery that induced pluripotent stem cells could be generated from adult mouse fibroblasts is powerful proof that cell fate can be changed.An exciting extension of the discovery of cell fate impermanence is the direct cellular reprogram ming hypothesis-that terminally differentiated cells can be reprogrammed into other adult cell fates without first passing through a stem cell state.
基金supported by National Institute on Aging(NIH-NIA)R21 AG074152(to KMA)National Institute of Allergy and Infectious Diseases(NIAID)grant DP2 AI171150(to KMA)Department of Defense(DoD)grant AZ210089(to KMA)。
文摘The brain's extracellular matrix(ECM),which is comprised of protein and glycosaminoglycan(GAG)scaffolds,constitutes 20%-40% of the human brain and is considered one of the largest influencers on brain cell functioning(Soles et al.,2023).Synthesized by neural and glial cells,the brain's ECM regulates a myriad of homeostatic cellular processes,including neuronal plasticity and firing(Miyata et al.,2012),cation buffering(Moraws ki et al.,2015),and glia-neuron interactions(Anderson et al.,2016).Considering the diversity of functions,dynamic remodeling of the brain's ECM indicates that this understudied medium is an active participant in both normal physiology and neurological diseases.
基金Supported by Russian Science Foundation,No.23-25-00183.
文摘BACKGROUND Breast cancer(BC)continues to occupy a leading position in terms of morbidity and mortality from malignant neoplasms among the female population.One of the promising markers associated with BC progression is programmed death ligand 1(PD-L1).Previously,we investigated PD-L1 expression in BC via a new antibody against programmed cell death protein 1 ligand 1(PDCD1 LG1)and reported that high PDCD1 LG1 expression in tumor cells is an independent factor for a high risk of regional metastasis in patients with BC.However,the prognostic significance of PDCD1 LG1 expression in BC stromal cells has not been adequately studied.AIM To study the features of PDCD1 LG1 expression in BC stromal cells and its relationship with BC clinicopathological characteristics.METHODS In a prospective single-center observational study,tumor samples from 148 patients with newly diagnosed BC were examined.The tumor sections were immunohistochemically stained with antibodies against PDCD1 LG1.In the tumor samples,the PDCD1 LG1-positive lymphocyte(PDCD1 LG1+LF)score,presence of nuclear PDCD1 LG1 expression in the LFs,PDCD1 LG1 expression in polymorphic cell infiltrates(PDCD1 LG1+polymorphic cell infiltrates[PCIs]),and cells of the fibroblastic stroma and endothelial cells of the tumor microvessels were assessed.Statistical analyses were performed using Statistica 10.0 software.RESULTS A PDCD1 LG1+LF score≥3 was detected more often at stages N0 and N3 than at N1 and N2(P=0.03).Moderate and pronounced PDCD1 LG1+PCIs and the presence of PDCD1 LG1+fibroblastic stroma were associated with negative estrogen receptor status(P=0.0008 and P=0.03,respectively),human epidermal growth factor receptor 2-positive(HER2+)BC(P<0.00001 and P=0.0005),and luminal B HER2+,non-luminal HER2+and triple-negative BC(P<0.00001 and P=0.004).The risk of metastasis to regional lymph nodes(RLNs)depend on lymphovascular invasion(LVI)and the PDCD1 LG1+LF score.In the absence of LVI and a PDCD1 LG1+LF score<3 or≥3,metastases in RLNs were absent in 66.6%and 93.9%of patients with BC,respectively.In the presence of LVI and a PDCD1 LG1+LF score<3 or≥3,metastases in RLNs were detected in 82.6%and 92.7%of patients with BC,respectively.CONCLUSION The results indicated that the combined assessment of the PDCD1 LG1+LF score and LVI can improve the accuracy of predicting the risk of metastasis to RLNs in patients with BC.
基金supported by the National Natural Science Foundation of China(No.62203256)。
文摘Generating dynamically feasible trajectory for fixed-wing Unmanned Aerial Vehicles(UAVs)in dense obstacle environments remains computationally intractable.This paper proposes a Safe Flight Corridor constrained Sequential Convex Programming(SFC-SCP)to improve the computation efficiency and reliability of trajectory generation.SFC-SCP combines the front-end convex polyhedron SFC construction and back-end SCP-based trajectory optimization.A Sparse A^(*)Search(SAS)driven SFC construction method is designed to efficiently generate polyhedron SFC according to the geometric relation among obstacles and collision-free waypoints.Via transforming the nonconvex obstacle-avoidance constraints to linear inequality constraints,SFC can mitigate infeasibility of trajectory planning and reduce computation complexity.Then,SCP casts the nonlinear trajectory optimization subject to SFC into convex programming subproblems to decrease the problem complexity.In addition,a convex optimizer based on interior point method is customized,where the search direction is calculated via successive elimination to further improve efficiency.Simulation experiments on dense obstacle scenarios show that SFC-SCP can generate dynamically feasible safe trajectory rapidly.Comparative studies with state-of-the-art SCP-based methods demonstrate the efficiency and reliability merits of SFC-SCP.Besides,the customized convex optimizer outperforms off-the-shelf optimizers in terms of computation time.
基金Strategic Priority Research Program of the Chinese Academy of Sciences,No.XDB0740000National Key Research and Development Program of China,No.2022YFB3904200,No.2022YFF0711601+1 种基金Key Project of Innovation LREIS,No.PI009National Natural Science Foundation of China,No.42471503。
文摘Deep-time Earth research plays a pivotal role in deciphering the rates,patterns,and mechanisms of Earth's evolutionary processes throughout geological history,providing essential scientific foundations for climate prediction,natural resource exploration,and sustainable planetary stewardship.To advance Deep-time Earth research in the era of big data and artificial intelligence,the International Union of Geological Sciences initiated the“Deeptime Digital Earth International Big Science Program”(DDE)in 2019.At the core of this ambitious program lies the development of geoscience knowledge graphs,serving as a transformative knowledge infrastructure that enables the integration,sharing,mining,and analysis of heterogeneous geoscience big data.The DDE knowledge graph initiative has made significant strides in three critical dimensions:(1)establishing a unified knowledge structure across geoscience disciplines that ensures consistent representation of geological entities and their interrelationships through standardized ontologies and semantic frameworks;(2)developing a robust and scalable software infrastructure capable of supporting both expert-driven and machine-assisted knowledge engineering for large-scale graph construction and management;(3)implementing a comprehensive three-tiered architecture encompassing basic,discipline-specific,and application-oriented knowledge graphs,spanning approximately 20 geoscience disciplines.Through its open knowledge framework and international collaborative network,this initiative has fostered multinational research collaborations,establishing a robust foundation for next-generation geoscience research while propelling the discipline toward FAIR(Findable,Accessible,Interoperable,Reusable)data practices in deep-time Earth systems research.
基金Science and Technology Program of Guangzhou,No.202102010077International Science Foundation of Guangzhou Fuda Cancer Hospital,No.Y2020-ZD-03.
文摘BACKGROUND Irreversible electroporation(IRE)is a novel local tumor ablation approach with the potential to activate the host’s immune system.However,this approach is insufficient to prevent cancer progression,and complementary approaches are required for effective immunotherapy.AIM To assess the immunomodulatory effects and mechanism of IRE combined antiprogrammed cell death protein 1(PD-1)treatment in subcutaneous pancreatic cancer models.METHODS C57BL-6 tumor-bearing mice were randomly divided into four groups:Control group;IRE group;anti-PD-1 group;and IRE+anti-PD-1 group.Tumor-infiltrating T,B,and natural killer cell levels and plasma concentrations of T helper type 1 cytokines(interleukin-2,interferon-γ,and tumor necrosis factor-α)were evaluated.Real-time PCR was used to determine the expression of CD8(marker of CD8+T cells)in tumor tissues of the mice of all groups at different points of time.The growth curves of tumors were drawn.RESULTS The results demonstrated that the IRE+anti-PD-1 group exhibited significantly higher percentages of T lymphocyte infiltration,including CD4+and CD8+T cells compared with the control group.Additionally,the IRE+anti-PD-1 group showed increased infiltration of natural killer and B cells,elevated cytokine levels,and higher CD8 mRNA expression.Tumor volume was significantly reduced in the IRE+anti-PD-1 group,indicating a more pronounced therapeutic effect.CONCLUSION The combination of IRE and anti-PD-1 therapy promotes CD8+T cell immunity responses,leading to a more effective reduction in tumor volume and improved therapeutic outcomes,which provides a new direction for ablation and immunotherapy of pancreatic cancer.
文摘BACKGROUND Pancreatic ductal adenocarcinoma(PDAC)is a highly aggressive cancer with poor prognosis.When it metastasizes to the liver,treatment options become particularly limited and challenging.Current treatment options for liver metastatic PDAC are limited,and chemotherapy alone often proves insufficient.Immunotherapy,particularly programmed cell death 1(PD-1)inhibitors like sintilimab,shows potential efficacy for various cancers but has limited reports on PDAC.This study compares the efficacy and safety of sintilimab plus S-1 and gemcitabine vs S-1 and gemcitabine alone in liver metastatic PDAC.AIM To explore the feasibility and effectiveness of combined PD-1 inhibitor sintilimab and S-1 and gemcitabine(combination group)vs S-1 and gemcitabine used alone(chemotherapy group)for treating liver metastatic pancreatic adenocarcinoma.METHODS Eligible patients were those with only liver metastatic PDAC,an Eastern Cooperative Oncology Group performance status of 0-1,adequate organ and marrow functions,and no prior anticancer therapy.Participants in the combination group received intravenous sintilimab 200 mg every 3 weeks,oral S-140 mg/m²twice daily on days 1-14 of a 21-day cycle,and intravenous gemcitabine 1000 mg/m²on days 1 and 8 of the same cycle for up to eight cycles or until disease progression,death,or unacceptable toxicity.Participants in the chemotherapy group received oral S-140 mg/m²twice daily on days 1-14 of a 21-day cycle and intravenous gemcitabine 1000 mg/m²on days 1 and 8 of the same cycle for up to eight cycles.Between June 2020 and December 2021,66 participants were enrolled,with 32 receiving the combination treatment and 34 receiving chemotherapy alone.RESULTS The group receiving the combined therapy exhibited a markedly prolonged median overall survival(18.8 months compared to 10.3 months,P<0.05)and progression-free survival(9.6 months vs 5.4 months,P<0.05).compared to the chemotherapy group.The incidence of severe adverse events did not differ significantly between the two groups(P>0.05).CONCLUSION The combination of PD-1 inhibitor sintilimab with S-1 and gemcitabine demonstrated effectiveness and safety for treating liver metastatic PDAC,meriting further investigation.
文摘This study proposes a novel approach to optimizing individual work schedules for book digitization using mixed-integer programming (MIP). By leveraging the power of MIP solvers, we aimed to minimize the overall digitization time while considering various constraints and process dependencies. The book digitization process involves three key steps: cutting, scanning, and binding. Each step has specific requirements and limitations such as the number of pages that can be processed simultaneously and potential bottlenecks. To address these complexities, we formulate the problem as a one-machine job shop scheduling problem with additional constraints to capture the unique characteristics of book digitization. We conducted a series of experiments to evaluate the performance of our proposed approach. By comparing the optimized schedules with the baseline approach, we demonstrated significant reductions in the overall processing time. In addition, we analyzed the impact of different weighting schemes on the optimization results, highlighting the importance of identifying and prioritizing critical processes. Our findings suggest that MIP-based optimization can be a valuable tool for improving the efficiency of individual work schedules, even in seemingly simple tasks, such as book digitization. By carefully considering specific constraints and objectives, we can save time and leverage resources by carefully considering specific constraints and objectives.
基金supported by the National Natural Science Foundation of China(Grant No.62177003)the Fundamental Research Funds for the Central Universities of Ministry of Education of China(Grant No.JKF-20240213)。
文摘In order to solve the code debugging difficulties faced by students and relieve the pressure of manual personalized tutoring,this paper proposes a method for locating faults in student code,called SCFL(student code fault location).This method utilizes a historical correct code repository composed of correct codes submitted by previous students in the same assignments.It standardizes the erroneous code and historical correct code variables simultaneously and calculates the abstract syntax change tree.Then,by establishing the mapping between the abstract syntax change tree and the student assignment code,the fault location results of the student assignment are calculated.The evaluation experiments show that the SCFL method has a result of 9.25 in the cumulative inspection statement count and 15.9%in the fault localization cost indicator.Both indicators are better than the three currently commonly used spectrum-based baseline methods.
基金Education and Teaching Research Project of Beijing University of Technology(ER2024KCB08)。
文摘With the rapid development of artificial intelligence technology,AIGC(Artificial Intelligence-Generated Content)has triggered profound changes in the field of high-level language programming courses.This paper deeply explored the application principles,advantages,and limitations of AIGC in intelligent code generation,analyzed the new mode of human-computer collaboration in high-level language programming courses driven by AIGC,discussed the impact of human-computer collaboration on programming efficiency and code quality through practical case studies,and looks forward to future development trends.This research aims to provide theoretical and practical guidance for high-level language programming courses and promote innovative development of high-level language programming courses under the human-computer collaboration paradigm.
文摘BACKGROUND In recent years,emerging clinical research has prioritized assessment of combined therapeutic efficacy and safety parameters when programmed death 1 or its ligand(PD-1/L1)inhibitors are incorporated into first-line standard-of-care(SOC)therapy for metastatic colorectal cancer(mCRC).However,data obtained from these trials demonstrated conflicting evidence concerning survival benefits and clinical outcomes.AIM To evaluate the therapeutic impact and safety parameters of combining PD-1/L1 inhibitors with SOC protocols as first-line treatment for mCRC.METHODS Four biomedical databases(PubMed,Embase,Cochrane Library,Web of Science)were systematically interrogated to identify eligible studies published up to October 12,2024.The analysis focused on evaluating the primary outcome of overall survival(OS)in the mCRC population with secondary outcomes of progression-free survival(PFS),overall response rate(ORR),and incidence rate of grade≥3 adverse events.Additionally,we performed exploratory analyses in the microsatellite stable/mismatch repair-proficient(MSS/pMMR)subpopulation,based on a subset of the included studies.Subgroup analyses according to PD-1/L1 inhibitor use were conducted in both the overall population and the MSS/pMMR subgroup.RESULTS This pooled analysis incorporated six randomized controlled trials involving 675 patients with mCRC receiving first-line therapy.The combination of PD-1/L1 inhibitors with SOC regimens demonstrated a significant PFS advantage over SOC monotherapy in intention-to-treat populations[hazard ratio(HR)=0.8,95%confidence interval(CI):0.65-0.98,P=0.033].Nevertheless,the MSS/pMMR subgroup showed no PFS benefit(HR=0.83,95%CI:0.67-1.03,P=0.091),and no cohort exhibited OS improvement(intention-to-treat:HR=0.84,95%CI:0.66-1.05,P=0.124;MSS/pMMR:HR=0.79,95%CI:0.60-1.03,P=0.083).Comparable outcomes were observed for ORR(risk ratio=1.03,95%CI:0.90-1.17,P=0.711)and incidence rate of grade≥3 adverse events(risk ratio=1.12,95%CI:0.93-1.36,P=0.245)between treatment arms.CONCLUSION The findings indicated that integrating PD-1/L1 blocking agents with SOC regimens for mCRC as first-line treatment failed to demonstrate significant improvements in ORR.Existing clinical data remain inadequate to establish OS advantages,particularly in patients with MSS/pMMR,despite exhibiting manageable toxicity profiles.Subsequent confirmation through rigorously designed phase III clinical trials remains essential to verify these therapeutic outcomes.
基金supported in part by the National Natural Science Foundation of China (62422405, 62025111,62495100, 92464302)the STI 2030-Major Projects(2021ZD0201200)+1 种基金the Shanghai Municipal Science and Technology Major Projectthe Beijing Advanced Innovation Center for Integrated Circuits
文摘Computing-in-memory(CIM)has been a promising candidate for artificial-intelligent applications thanks to the absence of data transfer between computation and storage blocks.Resistive random access memory(RRAM)based CIM has the advantage of high computing density,non-volatility as well as high energy efficiency.However,previous CIM research has predominantly focused on realizing high energy efficiency and high area efficiency for inference,while little attention has been devoted to addressing the challenges of on-chip programming speed,power consumption,and accuracy.In this paper,a fabri-cated 28 nm 576K RRAM-based CIM macro featuring optimized on-chip programming schemes is proposed to address the issues mentioned above.Different strategies of mapping weights to RRAM arrays are compared,and a novel direct-current ADC design is designed for both programming and inference stages.Utilizing the optimized hybrid programming scheme,4.67×programming speed,0.15×power saving and 4.31×compact weight distribution are realized.Besides,this macro achieves a normalized area efficiency of 2.82 TOPS/mm2 and a normalized energy efficiency of 35.6 TOPS/W.
基金Education and Teaching Research Project of Beijing University of Technology(ER2024KCB08)。
文摘With the widespread application of large language models(LLMs)in natural language processing and code generation,traditional High-Level Language Programming courses are facing unprecedented challenges and opportunities.As a core programming language for computer science majors,C language remains irreplaceable due to its foundational nature and engineering adaptability.This paper,based on the rapid development of large model technologies,proposes a systematic reform design for C language teaching,focusing on teaching objectives,content structure,teaching methods,and evaluation systems.The article suggests a teaching framework centered on“human-computer collaborative programming,”integrating prompt training,AI-assisted debugging,and code generation analysis,aiming to enhance students’problem modeling ability,programming expression skills,and AI collaboration literacy.
