As underground mining advances to greater depths,cemented paste backfill(CPB)is increasingly subjected to complex thermo-mechanical loading conditions,including multiaxial stress states and elevated temperatures.This ...As underground mining advances to greater depths,cemented paste backfill(CPB)is increasingly subjected to complex thermo-mechanical loading conditions,including multiaxial stress states and elevated temperatures.This study investigates the coupled effects of field-representative vertical self-weight and horizontal rockwall closure stresses,along with in-situ temperatures,on the mechanical behavior and pore water pressure(PWP)evolution of CPB.Experiments were conducted using a novel apparatus capable of controlling multiaxial stress and temperature during curing,replicating in-situ stress paths and thermal profiles typical of deep mine environments.Results show that multiaxial stress enhances CPB strength and stiffness by promoting denser particle packing,reducing porosity,and increasing frictional resistance.Elevated temperatures independently accelerate early-age cement hydration,further improving bond strength and stiffness.When combined,multiaxial stress and elevated temperature produce a synergistic enhancement in unconfined compressive strength(UCS)and elastic modulus,as confirmed by two-way ANOVA and synergy index analysis.PWP responses were also highly sensitive to thermo-mechanical conditions.The evolution of positive and negative PWP was governed by the interplay of thermal expansion,hydration-induced desaturation,and mechanical compaction.Multiaxial stress amplified early positive PWP and delayed its dissipation,whereas elevated temperature accelerated hydration and reduced pore pressure,leading to enhanced suction at later ages.A transient“stress-induced resaturation”effect was observed under late-stage excessive horizontal stress but was mitigated by elevated temperatures.These findings provide critical insights into the coupled mechanical and hydraulic behavior of CPB under realistic field conditions and offer guidance for optimizing backfill design,binder content,and barricade stability in deep mining applications.展开更多
A novel siphon-based divide-and-conquer(SbDaC)policy is presented in this paper for the synthesis of Petri net(PN)based liveness-enforcing supervisors(LES)for flexible manufacturing systems(FMS)prone to deadlocks or l...A novel siphon-based divide-and-conquer(SbDaC)policy is presented in this paper for the synthesis of Petri net(PN)based liveness-enforcing supervisors(LES)for flexible manufacturing systems(FMS)prone to deadlocks or livelocks.The proposed method takes an uncontrolled and bounded PN model(UPNM)of the FMS.Firstly,the reduced PNM(RPNM)is obtained from the UPNM by using PN reduction rules to reduce the computation burden.Then,the set of strict minimal siphons(SMSs)of the RPNM is computed.Next,the complementary set of SMSs is computed from the set of SMSs.By the union of these two sets,the superset of SMSs is computed.Finally,the set of subnets of the RPNM is obtained by applying the PN reduction rules to the superset of SMSs.All these subnets suffer from deadlocks.These subnets are then ordered from the smallest one to the largest one based on a criterion.To enforce liveness on these subnets,a set of control places(CPs)is computed starting from the smallest subnet to the largest one.Once all subnets are live,this process provides the LES,consisting of a set of CPs to be used for the UPNM.The live controlled PN model(CPNM)is constructed by merging the LES with the UPNM.The SbDaC policy is applicable to all classes of PNs related to FMS prone to deadlocks or livelocks.Several FMS examples are considered from the literature to highlight the applicability of the SbDaC policy.In particular,three examples are utilized to emphasize the importance,applicability and effectiveness of the SbDaC policy to realistic FMS with very large state spaces.展开更多
Efficient energy utilization in covert communication sustains covertness while assuring communication quality and efficiency.This paper investigates covert communication energy efficiency(EE)in direct uplink satellite...Efficient energy utilization in covert communication sustains covertness while assuring communication quality and efficiency.This paper investigates covert communication energy efficiency(EE)in direct uplink satellite-ground communications,focusing on enhancing system EE via optimized transmit beamforming and satellite orbit altitude selection.This paper first establishes an optimization problem to maximize system EE in a direct uplink satelliteground covert communication scenario.To solve this non-convex optimization problem,it is decomposed into two subproblems and solved using the successive convex approximation(SCA)method.Based on the above methods,this paper proposes an overall iterative optimization algorithm.Simulation results demonstrate that the proposed algorithm surpasses the conventional baseline algorithms in terms of system EE.Furthermore,they elucidate the correlation between the amount of information received by the receiver and the variations in the satellite’s orbital altitude.展开更多
BACKGROUND Prevalence of the main rheumatic diseases in the Republic of Sakha(Yakutia)[RS(Y)],one of the regions of the Russian Federation,differs from the other regions of the Russian Federation due to its ethnic and...BACKGROUND Prevalence of the main rheumatic diseases in the Republic of Sakha(Yakutia)[RS(Y)],one of the regions of the Russian Federation,differs from the other regions of the Russian Federation due to its ethnic and geographic features.Knowledge regarding the prevalence and structure of juvenile idiopathic arthritis(JIA)allows us to shape the work of the pediatric rheumatology service in the region correctly,and optimize the healthcare system and the need for medica-tions.AIM To describe the epidemiological,demographic,clinical,and laboratory characteristics of children with JIA in the RS(Y)and evaluate the main outcomes.METHODS This retrospective cohort study assessed all the data from the medical histories of the patients(n=225)diagnosed with JIA(2016-2023)in the Cardiorheumatology Department of the M.E.Nikolaev National Center of Medicine.Pearson'sχ²test,Fisher's exact test,Mann–Whitney and Kruskal-Wallis tests were used for statistical analyses.RESULTS The ethnic prevalence of JIA is higher in Sakha than in Russian children at 110.1 per 100000 children and 69.4 per 100000 children,respectively.The prevalence of JIA among boys and girls in Sakha was similar,unlike in Russians,where the number of girls predominated.The JIA categories were as follows:(1)Systemic arthritis:3.5%;(2)Oligoarthritis(persistent and extended):33.8%;(3)Rheumatoid factor(RF)(+)polyarthritis:0.9%;(4)RF(-)polyarthritis:14.7%;(5)Enthesitis-related arthritis(ERA):44%;and(6)Psoriatic arthritis:3.1%.Prevalence of the ERA category was 4.4 times higher in Sakha children,but the prevalence of systemic arthritis was 2.9 times lower compared to Russians(P=0.0005).The frequency of uveitis was 10.2%,and the frequency of human leukocyte antigen(HLA)B27 was 39.6%in JIA children.Biologic treatment was received by 40.4%of JIA children and 45.3%achieved remission.CONCLUSION Higher JIA prevalence,male and ERA predominance,related to a higher frequency of HLA B27 are typical in RS(Y).These data might improve the pediatric rheumatology health service.展开更多
BACKGROUND Acute kidney injury(AKI)is a common and serious complication following heart transplantation,significantly impacting patient outcomes and survival rates.AKI after transplantation can lead to prolonged hospi...BACKGROUND Acute kidney injury(AKI)is a common and serious complication following heart transplantation,significantly impacting patient outcomes and survival rates.AKI after transplantation can lead to prolonged hospital stays,increased morbidity,and even mortality.AIM To identify and quantify significant risk factors associated with AKI following heart transplantation through a systematic review and meta-analysis.This study aims to distinguish predictive variables that may inform perioperative risk stratification and clinical decision-making.METHODS Electronic searches on MEDLINE,Google Scholar,ScienceDirect,Clinical-Trials.gov,and Cochrane databases were conducted from inception up till September 1.Included studies were randomized controlled trials,clinical trials,retrospective cohort,and observational studies.Exclusion criteria encompassed studies with pediatric populations,non-English publications,case reports,and studies lacking sufficient data on AKI outcomes.Statistical analysis was performed using RevMan 5.4,reporting dichotomous outcomes as odds ratios(OR)and continuous outcomes as mean differences(MD)with 95%confidence intervals(CI).Quality assessment of the included studies was performed using the New Castle Ottawa Scale.RESULTS Out of 1345 articles,13 studies with 3330 patients were included.Significant risk factors included age[overall MD=2.27 years(95%CI:0.13 to 4.41)],body mass index(BMI)[MD=1.42(95%CI:0.60 to 2.24)],diabetes[overall OR=1.47(95%CI:1.16 to 1.85)],chronic kidney disease(CKD)[OR=2.67(95%CI:1.73 to 4.14)],chronic obstructive pulmonary disorder(COPD)[OR=0.49(95%CI:0.27 to 0.89)],previous thoracic surgery[(OR)=1.27,95%CI:(1.05 to 1.54)],cardio-pulmonary bypass time[(MD)=17.10,95%CI:(6.12 to 28.08)],mechanical ventilation duration[(MD)=30.87 hours,95%CI:(10.69 to 51.05)]and extracorporeal membrane oxygenation[(OR)=2.31,95%CI:(1.25 to 4.26)].Factors not associated with AKI after heart transplantation included Recipients’male sex(P=0.55),donor sex(P=0.11),hypertension(P=0.13),smoking(P=0.20),coronary artery disease(P=0.90),pulmonary artery disease(P=0.81),dilated cardiomyopathy(P=0.79),ventilation duration(P=0.24),ischemic time(P=0.06),use of intra-aortic balloon pump(P=0.14),LVAD transplantation(P=0.83),and Inotropes use(P=0.78).CONCLUSION Age,BMI,diabetes,CKD,COPD,previous thoracic surgery,prolonged CPB time,extended mechanical ventilation,and ECMO use are significant predictors of AKI following heart transplantation,necessitating vigilant monitoring and individualized risk assessment.Conversely,factors such as LVAD implantation and inotrope use showed no significant association,highlighting the need for further investigation into their roles.Future prospective studies are essential to validate these findings,elucidate underlying mechanisms,and develop targeted interventions to mitigate AKI risk and improve patient outcomes.展开更多
The importance of organic geochemistry and basin modeling is widely recognized and used to understand the source rock potential and hydrocarbon generation history of the Mangahewa Formation,and thereby given the found...The importance of organic geochemistry and basin modeling is widely recognized and used to understand the source rock potential and hydrocarbon generation history of the Mangahewa Formation,and thereby given the foundational role in the petroleum exploration.This study utilized the total organic carbon(TOC)content and hydrogen index(HI)to investigate the dominant kerogen type and hydrogen richness for the significance of petroleum generative potential.The Mangahewa coals and carbonaceous shales exhibit an excellent source rocks,with high total organic content(TOC)of more than 22%.The coals and carbonaceous shales were also characterised by Type Ⅱ‒Ⅲ kerogen with Type Ⅲ kerogen,promising oiland gas-prones.The Mangahewa Formation reached the main oil generation,with vitrinite reflectances between 0.53%and 1.01%.Vitrinite reflectance was also used in developing themal models and reveal the transformation(TR)of 10‒50%kerogen to oil during the Late Miocene.The models also showed that the Mangahewa source rock has a significant oil generation and little expulsion competency,with a TR of up to 54%.These findings support the substantial oil-generating potential in the Taranaki Basin's southern graben and can be used as a guide when developing strategies for an oil exploration program.展开更多
Conventional low-carbon concrete design approaches have often overlooked carbonation durability and the progressive loss of cover caused by surface scaling,both of which can increase the long-term risk of reinforcemen...Conventional low-carbon concrete design approaches have often overlooked carbonation durability and the progressive loss of cover caused by surface scaling,both of which can increase the long-term risk of reinforcement corrosion.To address these limitations,this study proposes an improved design framework for low-carbon slag concrete that simultaneously incorporates carbonation durability and cover scaling effects into the mix proportioning process.Based on experimental data,a linear predictive model was developed to estimate the 28-day compressive strength of slag concrete,achieving a correlation coefficient of R=0.87711 and a root mean square error(RMSE)of 7.55 MPa.The mechanism-based equation exhibits strong physical interpretability,as each parameter corresponds to a clear physical process,satisfying the requirements of design codes for physical significance.By integrating the strength and carbon-emission models,the carbon-emission efficiency was further analyzed.Across all water–binder ratios(0.3,0.4,0.5),CO_(2) emissions per unit strength decreased steadily with increasing slag content,indicating that carbon efficiency is primarily governed by slag replacement rather than the water/binder ratio.Four design cases,all with a design strength of 30 MPa,were then evaluated to illustrate the combined effects of carbonation and scaling.In Case 1,without considering carbonation durability,the carbonation depth after 50 years exceeded the 25 mm cover,leading to potential corrosion.In Case 2,when carbonation durability was considered,the required actual strength increased to 31.28 MPa.When mild cover scaling of 3 mm was introduced(Case 3),the required strength rose to 34.59 MPa,and under severe scaling of 10 mm(Case 4),it increased to 45.73 MPa.These results indicate that intensified scaling demands higher strength and lower water/binder ratios to maintain durability.Overall,the proposed framework quantitatively balances strength,durability,and embodied carbon,supporting sustainable low-carbon concrete design.展开更多
This research explores the use of Fuzzy K-Nearest Neighbor(F-KNN)and Artificial Neural Networks(ANN)for predicting heart stroke incidents,focusing on the impact of feature selection methods,specifically Chi-Square and...This research explores the use of Fuzzy K-Nearest Neighbor(F-KNN)and Artificial Neural Networks(ANN)for predicting heart stroke incidents,focusing on the impact of feature selection methods,specifically Chi-Square and Best First Search(BFS).The study demonstrates that BFS significantly enhances the performance of both classifiers.With BFS preprocessing,the ANN model achieved an impressive accuracy of 97.5%,precision and recall of 97.5%,and an Receiver Operating Characteristics(ROC)area of 97.9%,outperforming the Chi-Square-based ANN,which recorded an accuracy of 91.4%.Similarly,the F-KNN model with BFS achieved an accuracy of 96.3%,precision and recall of 96.3%,and a Receiver Operating Characteristics(ROC)area of 96.2%,surpassing the performance of the Chi-Square F-KNN model,which showed an accuracy of 95%.These results highlight that BFS improves the ability to select the most relevant features,contributing to more reliable and accurate stroke predictions.The findings underscore the importance of using advanced feature selection methods like BFS to enhance the performance of machine learning models in healthcare applications,leading to better stroke risk management and improved patient outcomes.展开更多
This study investigates the dark side of the non-fungible token(NFT)marketplace,with a focus on understanding the risks,and underlying factors driving fraud in the NFT ecosystem.Using the fraud triangle framework,this...This study investigates the dark side of the non-fungible token(NFT)marketplace,with a focus on understanding the risks,and underlying factors driving fraud in the NFT ecosystem.Using the fraud triangle framework,this study examines pressure,opportunity,and rationalization from individual and organizational perspectives.The research provides a comprehensive understanding of the contributing factors to NFT marketplace fraud by analyzing the reasons behind fraudulent actions.A conceptual framework is developed that includes ten propositions to aid in understanding the complexity of this issue.This study’s outcomes will assist policymakers in crafting efficient approaches to mitigate fraud within the NFT marketplace.展开更多
Accurate estimation of rockfall trajectories is essential for mitigation of rockfall hazards.Nowadays,Doppler radar technologies can measure rockfall trajectories with centimeter resolution.Calibrating a numerical mod...Accurate estimation of rockfall trajectories is essential for mitigation of rockfall hazards.Nowadays,Doppler radar technologies can measure rockfall trajectories with centimeter resolution.Calibrating a numerical model to fit these measured trajectories,i.e.back analysis,often involves manual trial-anderror processes and subjective goodness-of-fit criteria.Here,we propose a framework that uses the chi-square statistic to quantify the misfit between modeled and measured rockfall trajectories.The framework can also quantify the uncertainty bounds on the best-fit model parameters.The approach is validated using field data from an Australian copper mine under two scenarios.(1)We perform an unconstrained back-analysis where the initial position and velocity of the rock,in addition to the coefficients of restitution(COR),are free variables.This scenario yields a normal COR Rn?0.866±0.109 and tangential COR R_(t)=0.29±0.151 with 68%confidence.(2)We perform a constrained back-analysis using predetermined initial position and velocity of the rock,which further constrains Rn to 0.8±0.014 and Rt to 0.39±0.065.Both scenarios show a higher uncertainty in Rt than in Rn.We also demonstrate the adaptability of the back-analysis framework to two-dimensional(2D)rockfall modeling using the same data.To the best of our knowledge,this is the first quantitative goodness-of-fit metric for trajectorybased rockfall back analysis that supports the estimation of inherent uncertainty.The simplicity of the metric lends itself to robust model optimization of rockfall back-analysis and can be adapted to other model assumptions(e.g.rigid-body mechanics)and metrics(e.g.velocity or energy).展开更多
BACKGROUND Neoadjuvant therapy can reduce the size of gastroesophageal tumors to the extent that they are no longer macroscopically visible.This may increase the risk of microscopic-positive resection margins.One pote...BACKGROUND Neoadjuvant therapy can reduce the size of gastroesophageal tumors to the extent that they are no longer macroscopically visible.This may increase the risk of microscopic-positive resection margins.One potential method to reduce this uncertainty could be the preoperative endoscopic marking of proximal tumor margins with BioXmark®,a novel liquid fiducial marker.This study aimed to report the initial experiences of the first ten patients marked with BioXmark®.AIM To evaluate the visibility of BioXmark®on ultrasound after preoperative marking of the proximal resection line of an esophageal tumor.METHODS The circumference of the esophagus was endoscopically marked preoperatively with a fiducial marker in four quadrants,5 cm proximal to the tumor.During the surgery,the surgeon’s proposed proximal resection line was marked.Next,an ultrasound probe was used to identify the previously placed fiducial markers,and its placement was marked.The difference between the surgeon’s proposed resection line and the fiducial marker was measured intraoperatively and subsequently examined with respect to the resection margin and status.RESULTS BioXmark®was implanted in ten patients,5 cm proximal to the tumor.The surgeon’s proposed resection line was positioned 2-6 cm proximally to the surgical marker line.Technical success of injecting the fiducial marker was achieved in all ten patients.In six patients,the marker was successfully identified intraoperatively on ultrasound.No peri-or postoperative adverse events related to BioXmark®implantation were found.CONCLUSION Excellent technical success with the implantation of the fiducial surgical marker was achieved,but limited intraoperative visibility on ultrasound was achieved.Further studies are required to optimize its clinical application.展开更多
Drainage divide migration refers to the shifting boundaries between adjacent drainage basins over time,driven by processes such as tectonic uplift,differential erosion,stream capture,and lithological variations.This p...Drainage divide migration refers to the shifting boundaries between adjacent drainage basins over time,driven by processes such as tectonic uplift,differential erosion,stream capture,and lithological variations.This phenomenon has a significant impact on water flow patterns and basin extents,serving as an indicator of the landscape's response to active tectonic forces.One of the key drivers of divide migration is asymmetric uplift,which causes divides to shift from areas of lower uplift to regions experiencing higher uplift.Drainage divides are inherently dynamic,evolving over time as drainage networks develop and adjust to changing conditions.This study focuses on the migration of the main drainage divide along Karιncalιda?,located between Bozdo?an and Karacasu.It employs geomorphic analyses using metrics such as the normalized steepness index(ksn),Chi(χ),and Gilbert metrics.The main divide is categorized into four segments(D1–D4),with the Karacasu Fault,situated along the mountain's north-eastern boundary,identified as the primary factor influencing divide dynamics.Secondary factors include the relatively low elevation of Karιncalιda?,uniform lithology,and consistent rainfall patterns across the region.The results indicate that the main divide is currently stable,suggesting a balance between uplift and erosion.However,higherχvalues in the D4 segment suggest that future erosion may dominate,potentially causing the divide to migrate toward the Bozdo?an Basin.These findings highlight the dynamic nature of drainage divides and the complex interplay of tectonic,erosional,and lithological processes that shape their evolution.Continued monitoring and advanced geomorphic analysis are essential for understanding the long-term stability of the divide and its response to future tectonic activity and erosional modifications.展开更多
Cryogenic steels,i.e.,steels with maximum toughness at particularly low temperature,are increasingly becoming the focus of research.Cryogenic steels are usually alloyed with 5%–9%nickel.Ni can also be substituted by ...Cryogenic steels,i.e.,steels with maximum toughness at particularly low temperature,are increasingly becoming the focus of research.Cryogenic steels are usually alloyed with 5%–9%nickel.Ni can also be substituted by manganese as an austenite former.These high-manganese cryogenic grades are a cost-effective alternative to nickel-alloyed steels for use in liquefied natural gas storage tanks.The Mn content can then be more than 20 wt.%and lead to problems in production,particularly in the continuous casting process.In continuous casting of high-Mn-grades,quality issues and even breakout may result from the initial solidification behavior of the steel grades at high temperatures.Hot cracks form when a critical load is exceeded during solidification,close to the solidus temperature of the steel.A selected high-Mn-steel grade was characterized with respect to liquidus and solidus temperatures by means of thermal analysis and computational thermodynamics.In addition,so-called submerged split chill tensile tests were carried out to further understand the crack sensitivity of the solidifying shell for high-manganese cryogenic steels.The results reveal the presence of coarse hot tears,and also,a high frequency of hot cracks was observed at the location with the maximum accumulated strain,which is in line with the applied cracking criterion of Pierer and Bernhard for this investigation.In summary,the initial solidification phase of continuous casting poses a high risk of cracking for high-manganese cryogenic steel.展开更多
BACKGROUND Metastatic colorectal cancer(mCRC)is a global health challenge with a poor prognosis.Prognostic markers are critical for survival prediction.METHODS This multicenter,retrospective study measured baseline ca...BACKGROUND Metastatic colorectal cancer(mCRC)is a global health challenge with a poor prognosis.Prognostic markers are critical for survival prediction.METHODS This multicenter,retrospective study measured baseline carcinoembryonic antigen and carbohydrate antigen 19-9 levels to calculate a TMI as the geometric mean of values normalized to their upper limits of normal.Receiver operating characteristic curve analysis assessed TMI’s prognostic accuracy,and patients were stratified into high-TMI(≥1.39)and low-TMI(<1.39)groups.The primary endpoint was overall survival(OS),with progression-free survival and treatment response as secondary endpoints.RESULTS The study included 305 mCRC patients with a median follow-up of 22.9 months.The median OS for high-TMI patients was 29.5 months,significantly lower than the 45.6 months observed in the low-TMI group(P=0.02).The 2-year OS rates for the high-and low-TMI groups were 59.4%and 72.9%,respectively.Median progression-free survival was also shorter for the high-TMI group(14.0 vs 16.0 months,P=0.84).High TMI is an independent prognostic factor for worse OS.CONCLUSION TMI is a simple,cost-effective prognostic tool for mCRC,with high TMI associated with poorer survival outcomes.展开更多
Mammalian scent glands mediate species-specific chemical communication,yet the mechanistic basis for convergent musk production remain incompletely understood.Forest musk deer and muskrat have independently evolved sp...Mammalian scent glands mediate species-specific chemical communication,yet the mechanistic basis for convergent musk production remain incompletely understood.Forest musk deer and muskrat have independently evolved specialized musk-secreting glands,representing a striking case of convergent evolution.Through an integrated multi-omics approach,this study identified cyclopentadecanone as a shared key metabolic precursor in musk from both forest musk deer and muskrat,although downstream metabolite profiles diverged between the two lineages.Single-cell RNA sequencing revealed that these specialized apocrine glands possessed unique secretory architecture and exhibited transcriptional profiles associated with periodic musk production,distinct from those in conventional apocrine glands.Convergent features were evident at the cellular level,where acinar,ductal,and basal epithelial subtypes showed parallel molecular signatures across both taxa.Notably,acinar cells in both species expressed common genes involved in fatty acid and glycerolipid metabolism(e.g.,ACSBG1,HSD17B12,HACD2,and HADHA),suggesting a conserved molecular framework for musk precursor biosynthesis.Metagenomic analysis of musk samples further revealed parallel microbial community structures dominated by Corynebacterium and enriched in lipid metabolic pathways.These findings suggest multi-level convergence in musk biosynthesis,from molecular pathways to microbial communities,providing novel insights into mammalian chemical signaling and artificial musk production.展开更多
Existing orthogonal space-time block coding(OSTBC)schemes for backscatter communication systems cannot achieve a full transmission code rate when the tag is equipped with more than two antennas.In this paper,we propos...Existing orthogonal space-time block coding(OSTBC)schemes for backscatter communication systems cannot achieve a full transmission code rate when the tag is equipped with more than two antennas.In this paper,we propose a quasi-orthogonal spacetime block code(QOSTBC)that can achieve a full transmission code rate for backscatter communication systems with a four-antenna tag and then extend the scheme to support tags with 2i antennas.Specifically,we first present the system model for the backscatter system.Next,we propose the QOSTBC scheme to encode the tag signals.Then,we provide the corresponding maximum likelihood detection algorithms to recover the tag signals.Finally,simulation results are provided to demonstrate that our proposed QOSTBC scheme and the detection algorithm can achieve a better transmission code rate or symbol error rate performance for backscatter communication systems compared with benchmark schemes.展开更多
This paper provides a comprehensive bibliometric exposition on deepfake research,exploring the intersection of artificial intelligence and deepfakes as well as international collaborations,prominent researchers,organi...This paper provides a comprehensive bibliometric exposition on deepfake research,exploring the intersection of artificial intelligence and deepfakes as well as international collaborations,prominent researchers,organizations,institutions,publications,and key themes.We performed a search on theWeb of Science(WoS)database,focusing on Artificial Intelligence and Deepfakes,and filtered the results across 21 research areas,yielding 1412 articles.Using VOSviewer visualization tool,we analyzed thisWoS data through keyword co-occurrence graphs,emphasizing on four prominent research themes.Compared with existing bibliometric papers on deepfakes,this paper proceeds to identify and discuss some of the highly cited papers within these themes:deepfake detection,feature extraction,face recognition,and forensics.The discussion highlights key challenges and advancements in deepfake research.Furthermore,this paper also discusses pressing issues surrounding deepfakes such as security,regulation,and datasets.We also provide an analysis of another exhaustive search on Scopus database focusing solely on Deepfakes(while not excluding AI)revealing deep learning as the predominant keyword,underscoring AI’s central role in deepfake research.This comprehensive analysis,encompassing over 500 keywords from 8790 articles,uncovered a wide range of methods,implications,applications,concerns,requirements,challenges,models,tools,datasets,and modalities related to deepfakes.Finally,a discussion on recommendations for policymakers,researchers,and other stakeholders is also provided.展开更多
Background and objectives:The ongoing mpox outbreaks have garnered significant attention due to their public health implications,particularly the potential mental health impacts.Despite the growing concern,there has b...Background and objectives:The ongoing mpox outbreaks have garnered significant attention due to their public health implications,particularly the potential mental health impacts.Despite the growing concern,there has been limited exploration of the intersection between mpox and mental health within the research literature.This study aims to conduct a comprehensive bibliometric analysis to examine global research trends,regional distribution,and thematic focus areas related to mpox's psychological and psychiatric implications.Methods:We conducted a bibliometric analysis using Scopus and the Web of Science database.The analysis was carried out using the R-bibliometrics package and involved identifying literature on mpox and mental health,focusing on global research trends,regional distribution,and thematic areas of study.The analysis included 416 documents obtained from 295 sources from January 1,2014 to August 27,2024.Results:Our analysis revealed a growing but unevenly distributed literature on mpox and mental health.Most studies concentrated on the relationship between mpox and conditions such as depression and anxiety,while other psychiatric outcomes remain underexplored.The geographic distribution of research was also uneven,with regions like Europe and the Americas receiving more focus than others.Conclusions:The study highlights the need for more targeted research on the mental health sequelae of mpox,particularly for vulnerable populations and regions that are currently underrepresented in the literature.Future research should include longitudinal studies to assess the long-term effects of mpox on mental health and the development of robust methodologies to establish causality.Integrating mental health considerations into public health responses to mpox outbreaks is crucial,with significant implications for research,policy,and clinical practice.展开更多
基金the University of Ottawa, the China Scholarship Council and the Natural Sciences and Engineering Research Council of Canada (NSERC) for their financial support.
文摘As underground mining advances to greater depths,cemented paste backfill(CPB)is increasingly subjected to complex thermo-mechanical loading conditions,including multiaxial stress states and elevated temperatures.This study investigates the coupled effects of field-representative vertical self-weight and horizontal rockwall closure stresses,along with in-situ temperatures,on the mechanical behavior and pore water pressure(PWP)evolution of CPB.Experiments were conducted using a novel apparatus capable of controlling multiaxial stress and temperature during curing,replicating in-situ stress paths and thermal profiles typical of deep mine environments.Results show that multiaxial stress enhances CPB strength and stiffness by promoting denser particle packing,reducing porosity,and increasing frictional resistance.Elevated temperatures independently accelerate early-age cement hydration,further improving bond strength and stiffness.When combined,multiaxial stress and elevated temperature produce a synergistic enhancement in unconfined compressive strength(UCS)and elastic modulus,as confirmed by two-way ANOVA and synergy index analysis.PWP responses were also highly sensitive to thermo-mechanical conditions.The evolution of positive and negative PWP was governed by the interplay of thermal expansion,hydration-induced desaturation,and mechanical compaction.Multiaxial stress amplified early positive PWP and delayed its dissipation,whereas elevated temperature accelerated hydration and reduced pore pressure,leading to enhanced suction at later ages.A transient“stress-induced resaturation”effect was observed under late-stage excessive horizontal stress but was mitigated by elevated temperatures.These findings provide critical insights into the coupled mechanical and hydraulic behavior of CPB under realistic field conditions and offer guidance for optimizing backfill design,binder content,and barricade stability in deep mining applications.
基金The authors extend their appreciation to King Saud University,Saudi Arabia for funding this work through the Ongoing Research Funding Program(ORF-2025-704),King Saud University,Riyadh,Saudi Arabia.
文摘A novel siphon-based divide-and-conquer(SbDaC)policy is presented in this paper for the synthesis of Petri net(PN)based liveness-enforcing supervisors(LES)for flexible manufacturing systems(FMS)prone to deadlocks or livelocks.The proposed method takes an uncontrolled and bounded PN model(UPNM)of the FMS.Firstly,the reduced PNM(RPNM)is obtained from the UPNM by using PN reduction rules to reduce the computation burden.Then,the set of strict minimal siphons(SMSs)of the RPNM is computed.Next,the complementary set of SMSs is computed from the set of SMSs.By the union of these two sets,the superset of SMSs is computed.Finally,the set of subnets of the RPNM is obtained by applying the PN reduction rules to the superset of SMSs.All these subnets suffer from deadlocks.These subnets are then ordered from the smallest one to the largest one based on a criterion.To enforce liveness on these subnets,a set of control places(CPs)is computed starting from the smallest subnet to the largest one.Once all subnets are live,this process provides the LES,consisting of a set of CPs to be used for the UPNM.The live controlled PN model(CPNM)is constructed by merging the LES with the UPNM.The SbDaC policy is applicable to all classes of PNs related to FMS prone to deadlocks or livelocks.Several FMS examples are considered from the literature to highlight the applicability of the SbDaC policy.In particular,three examples are utilized to emphasize the importance,applicability and effectiveness of the SbDaC policy to realistic FMS with very large state spaces.
基金supported in part by the National Natural Science Foundation of China under Grants 62025110,62271093sponsored by Natural Science Foundation of Chongqing,China,under Grant CSTB2023NSCQ-LZX0108.
文摘Efficient energy utilization in covert communication sustains covertness while assuring communication quality and efficiency.This paper investigates covert communication energy efficiency(EE)in direct uplink satellite-ground communications,focusing on enhancing system EE via optimized transmit beamforming and satellite orbit altitude selection.This paper first establishes an optimization problem to maximize system EE in a direct uplink satelliteground covert communication scenario.To solve this non-convex optimization problem,it is decomposed into two subproblems and solved using the successive convex approximation(SCA)method.Based on the above methods,this paper proposes an overall iterative optimization algorithm.Simulation results demonstrate that the proposed algorithm surpasses the conventional baseline algorithms in terms of system EE.Furthermore,they elucidate the correlation between the amount of information received by the receiver and the variations in the satellite’s orbital altitude.
文摘BACKGROUND Prevalence of the main rheumatic diseases in the Republic of Sakha(Yakutia)[RS(Y)],one of the regions of the Russian Federation,differs from the other regions of the Russian Federation due to its ethnic and geographic features.Knowledge regarding the prevalence and structure of juvenile idiopathic arthritis(JIA)allows us to shape the work of the pediatric rheumatology service in the region correctly,and optimize the healthcare system and the need for medica-tions.AIM To describe the epidemiological,demographic,clinical,and laboratory characteristics of children with JIA in the RS(Y)and evaluate the main outcomes.METHODS This retrospective cohort study assessed all the data from the medical histories of the patients(n=225)diagnosed with JIA(2016-2023)in the Cardiorheumatology Department of the M.E.Nikolaev National Center of Medicine.Pearson'sχ²test,Fisher's exact test,Mann–Whitney and Kruskal-Wallis tests were used for statistical analyses.RESULTS The ethnic prevalence of JIA is higher in Sakha than in Russian children at 110.1 per 100000 children and 69.4 per 100000 children,respectively.The prevalence of JIA among boys and girls in Sakha was similar,unlike in Russians,where the number of girls predominated.The JIA categories were as follows:(1)Systemic arthritis:3.5%;(2)Oligoarthritis(persistent and extended):33.8%;(3)Rheumatoid factor(RF)(+)polyarthritis:0.9%;(4)RF(-)polyarthritis:14.7%;(5)Enthesitis-related arthritis(ERA):44%;and(6)Psoriatic arthritis:3.1%.Prevalence of the ERA category was 4.4 times higher in Sakha children,but the prevalence of systemic arthritis was 2.9 times lower compared to Russians(P=0.0005).The frequency of uveitis was 10.2%,and the frequency of human leukocyte antigen(HLA)B27 was 39.6%in JIA children.Biologic treatment was received by 40.4%of JIA children and 45.3%achieved remission.CONCLUSION Higher JIA prevalence,male and ERA predominance,related to a higher frequency of HLA B27 are typical in RS(Y).These data might improve the pediatric rheumatology health service.
文摘BACKGROUND Acute kidney injury(AKI)is a common and serious complication following heart transplantation,significantly impacting patient outcomes and survival rates.AKI after transplantation can lead to prolonged hospital stays,increased morbidity,and even mortality.AIM To identify and quantify significant risk factors associated with AKI following heart transplantation through a systematic review and meta-analysis.This study aims to distinguish predictive variables that may inform perioperative risk stratification and clinical decision-making.METHODS Electronic searches on MEDLINE,Google Scholar,ScienceDirect,Clinical-Trials.gov,and Cochrane databases were conducted from inception up till September 1.Included studies were randomized controlled trials,clinical trials,retrospective cohort,and observational studies.Exclusion criteria encompassed studies with pediatric populations,non-English publications,case reports,and studies lacking sufficient data on AKI outcomes.Statistical analysis was performed using RevMan 5.4,reporting dichotomous outcomes as odds ratios(OR)and continuous outcomes as mean differences(MD)with 95%confidence intervals(CI).Quality assessment of the included studies was performed using the New Castle Ottawa Scale.RESULTS Out of 1345 articles,13 studies with 3330 patients were included.Significant risk factors included age[overall MD=2.27 years(95%CI:0.13 to 4.41)],body mass index(BMI)[MD=1.42(95%CI:0.60 to 2.24)],diabetes[overall OR=1.47(95%CI:1.16 to 1.85)],chronic kidney disease(CKD)[OR=2.67(95%CI:1.73 to 4.14)],chronic obstructive pulmonary disorder(COPD)[OR=0.49(95%CI:0.27 to 0.89)],previous thoracic surgery[(OR)=1.27,95%CI:(1.05 to 1.54)],cardio-pulmonary bypass time[(MD)=17.10,95%CI:(6.12 to 28.08)],mechanical ventilation duration[(MD)=30.87 hours,95%CI:(10.69 to 51.05)]and extracorporeal membrane oxygenation[(OR)=2.31,95%CI:(1.25 to 4.26)].Factors not associated with AKI after heart transplantation included Recipients’male sex(P=0.55),donor sex(P=0.11),hypertension(P=0.13),smoking(P=0.20),coronary artery disease(P=0.90),pulmonary artery disease(P=0.81),dilated cardiomyopathy(P=0.79),ventilation duration(P=0.24),ischemic time(P=0.06),use of intra-aortic balloon pump(P=0.14),LVAD transplantation(P=0.83),and Inotropes use(P=0.78).CONCLUSION Age,BMI,diabetes,CKD,COPD,previous thoracic surgery,prolonged CPB time,extended mechanical ventilation,and ECMO use are significant predictors of AKI following heart transplantation,necessitating vigilant monitoring and individualized risk assessment.Conversely,factors such as LVAD implantation and inotrope use showed no significant association,highlighting the need for further investigation into their roles.Future prospective studies are essential to validate these findings,elucidate underlying mechanisms,and develop targeted interventions to mitigate AKI risk and improve patient outcomes.
基金Supporting Project number(RSP2025R92)at King Saud University,Riyadh,Saudi Arabia,for their support.
文摘The importance of organic geochemistry and basin modeling is widely recognized and used to understand the source rock potential and hydrocarbon generation history of the Mangahewa Formation,and thereby given the foundational role in the petroleum exploration.This study utilized the total organic carbon(TOC)content and hydrogen index(HI)to investigate the dominant kerogen type and hydrogen richness for the significance of petroleum generative potential.The Mangahewa coals and carbonaceous shales exhibit an excellent source rocks,with high total organic content(TOC)of more than 22%.The coals and carbonaceous shales were also characterised by Type Ⅱ‒Ⅲ kerogen with Type Ⅲ kerogen,promising oiland gas-prones.The Mangahewa Formation reached the main oil generation,with vitrinite reflectances between 0.53%and 1.01%.Vitrinite reflectance was also used in developing themal models and reveal the transformation(TR)of 10‒50%kerogen to oil during the Late Miocene.The models also showed that the Mangahewa source rock has a significant oil generation and little expulsion competency,with a TR of up to 54%.These findings support the substantial oil-generating potential in the Taranaki Basin's southern graben and can be used as a guide when developing strategies for an oil exploration program.
基金supported by the National Natural Science Foundation of China(No.52463034)supported by the Korea Institute of Energy Technology Evaluation and Planning funded by the Ministry of Trade,Industry and Energy(No.2025-02314098)of the Republic of Koreasupported by the Regional Innovation System&Education(RISE)program through the Gangwon RISE Center,funded by the Ministry of Education(MOE)and the Gangwon State(G.S.),Republic of Korea(2025-RISE-10-002).
文摘Conventional low-carbon concrete design approaches have often overlooked carbonation durability and the progressive loss of cover caused by surface scaling,both of which can increase the long-term risk of reinforcement corrosion.To address these limitations,this study proposes an improved design framework for low-carbon slag concrete that simultaneously incorporates carbonation durability and cover scaling effects into the mix proportioning process.Based on experimental data,a linear predictive model was developed to estimate the 28-day compressive strength of slag concrete,achieving a correlation coefficient of R=0.87711 and a root mean square error(RMSE)of 7.55 MPa.The mechanism-based equation exhibits strong physical interpretability,as each parameter corresponds to a clear physical process,satisfying the requirements of design codes for physical significance.By integrating the strength and carbon-emission models,the carbon-emission efficiency was further analyzed.Across all water–binder ratios(0.3,0.4,0.5),CO_(2) emissions per unit strength decreased steadily with increasing slag content,indicating that carbon efficiency is primarily governed by slag replacement rather than the water/binder ratio.Four design cases,all with a design strength of 30 MPa,were then evaluated to illustrate the combined effects of carbonation and scaling.In Case 1,without considering carbonation durability,the carbonation depth after 50 years exceeded the 25 mm cover,leading to potential corrosion.In Case 2,when carbonation durability was considered,the required actual strength increased to 31.28 MPa.When mild cover scaling of 3 mm was introduced(Case 3),the required strength rose to 34.59 MPa,and under severe scaling of 10 mm(Case 4),it increased to 45.73 MPa.These results indicate that intensified scaling demands higher strength and lower water/binder ratios to maintain durability.Overall,the proposed framework quantitatively balances strength,durability,and embodied carbon,supporting sustainable low-carbon concrete design.
基金funded by FCT/MECI through national funds and,when applicable,co-funded EU funds under UID/50008:Instituto de Telecomunicacoes.
文摘This research explores the use of Fuzzy K-Nearest Neighbor(F-KNN)and Artificial Neural Networks(ANN)for predicting heart stroke incidents,focusing on the impact of feature selection methods,specifically Chi-Square and Best First Search(BFS).The study demonstrates that BFS significantly enhances the performance of both classifiers.With BFS preprocessing,the ANN model achieved an impressive accuracy of 97.5%,precision and recall of 97.5%,and an Receiver Operating Characteristics(ROC)area of 97.9%,outperforming the Chi-Square-based ANN,which recorded an accuracy of 91.4%.Similarly,the F-KNN model with BFS achieved an accuracy of 96.3%,precision and recall of 96.3%,and a Receiver Operating Characteristics(ROC)area of 96.2%,surpassing the performance of the Chi-Square F-KNN model,which showed an accuracy of 95%.These results highlight that BFS improves the ability to select the most relevant features,contributing to more reliable and accurate stroke predictions.The findings underscore the importance of using advanced feature selection methods like BFS to enhance the performance of machine learning models in healthcare applications,leading to better stroke risk management and improved patient outcomes.
文摘This study investigates the dark side of the non-fungible token(NFT)marketplace,with a focus on understanding the risks,and underlying factors driving fraud in the NFT ecosystem.Using the fraud triangle framework,this study examines pressure,opportunity,and rationalization from individual and organizational perspectives.The research provides a comprehensive understanding of the contributing factors to NFT marketplace fraud by analyzing the reasons behind fraudulent actions.A conceptual framework is developed that includes ten propositions to aid in understanding the complexity of this issue.This study’s outcomes will assist policymakers in crafting efficient approaches to mitigate fraud within the NFT marketplace.
基金funding from NSERC Alliance Grant ALLRP 576858e22 in partnership with Rocscience Inc.
文摘Accurate estimation of rockfall trajectories is essential for mitigation of rockfall hazards.Nowadays,Doppler radar technologies can measure rockfall trajectories with centimeter resolution.Calibrating a numerical model to fit these measured trajectories,i.e.back analysis,often involves manual trial-anderror processes and subjective goodness-of-fit criteria.Here,we propose a framework that uses the chi-square statistic to quantify the misfit between modeled and measured rockfall trajectories.The framework can also quantify the uncertainty bounds on the best-fit model parameters.The approach is validated using field data from an Australian copper mine under two scenarios.(1)We perform an unconstrained back-analysis where the initial position and velocity of the rock,in addition to the coefficients of restitution(COR),are free variables.This scenario yields a normal COR Rn?0.866±0.109 and tangential COR R_(t)=0.29±0.151 with 68%confidence.(2)We perform a constrained back-analysis using predetermined initial position and velocity of the rock,which further constrains Rn to 0.8±0.014 and Rt to 0.39±0.065.Both scenarios show a higher uncertainty in Rt than in Rn.We also demonstrate the adaptability of the back-analysis framework to two-dimensional(2D)rockfall modeling using the same data.To the best of our knowledge,this is the first quantitative goodness-of-fit metric for trajectorybased rockfall back analysis that supports the estimation of inherent uncertainty.The simplicity of the metric lends itself to robust model optimization of rockfall back-analysis and can be adapted to other model assumptions(e.g.rigid-body mechanics)and metrics(e.g.velocity or energy).
基金Supported by Nanovi A/S provided twenty vials of BioXmark®along with financial support for the evaluation of the implementation of the fiducial marker.
文摘BACKGROUND Neoadjuvant therapy can reduce the size of gastroesophageal tumors to the extent that they are no longer macroscopically visible.This may increase the risk of microscopic-positive resection margins.One potential method to reduce this uncertainty could be the preoperative endoscopic marking of proximal tumor margins with BioXmark®,a novel liquid fiducial marker.This study aimed to report the initial experiences of the first ten patients marked with BioXmark®.AIM To evaluate the visibility of BioXmark®on ultrasound after preoperative marking of the proximal resection line of an esophageal tumor.METHODS The circumference of the esophagus was endoscopically marked preoperatively with a fiducial marker in four quadrants,5 cm proximal to the tumor.During the surgery,the surgeon’s proposed proximal resection line was marked.Next,an ultrasound probe was used to identify the previously placed fiducial markers,and its placement was marked.The difference between the surgeon’s proposed resection line and the fiducial marker was measured intraoperatively and subsequently examined with respect to the resection margin and status.RESULTS BioXmark®was implanted in ten patients,5 cm proximal to the tumor.The surgeon’s proposed resection line was positioned 2-6 cm proximally to the surgical marker line.Technical success of injecting the fiducial marker was achieved in all ten patients.In six patients,the marker was successfully identified intraoperatively on ultrasound.No peri-or postoperative adverse events related to BioXmark®implantation were found.CONCLUSION Excellent technical success with the implantation of the fiducial surgical marker was achieved,but limited intraoperative visibility on ultrasound was achieved.Further studies are required to optimize its clinical application.
文摘Drainage divide migration refers to the shifting boundaries between adjacent drainage basins over time,driven by processes such as tectonic uplift,differential erosion,stream capture,and lithological variations.This phenomenon has a significant impact on water flow patterns and basin extents,serving as an indicator of the landscape's response to active tectonic forces.One of the key drivers of divide migration is asymmetric uplift,which causes divides to shift from areas of lower uplift to regions experiencing higher uplift.Drainage divides are inherently dynamic,evolving over time as drainage networks develop and adjust to changing conditions.This study focuses on the migration of the main drainage divide along Karιncalιda?,located between Bozdo?an and Karacasu.It employs geomorphic analyses using metrics such as the normalized steepness index(ksn),Chi(χ),and Gilbert metrics.The main divide is categorized into four segments(D1–D4),with the Karacasu Fault,situated along the mountain's north-eastern boundary,identified as the primary factor influencing divide dynamics.Secondary factors include the relatively low elevation of Karιncalιda?,uniform lithology,and consistent rainfall patterns across the region.The results indicate that the main divide is currently stable,suggesting a balance between uplift and erosion.However,higherχvalues in the D4 segment suggest that future erosion may dominate,potentially causing the divide to migrate toward the Bozdo?an Basin.These findings highlight the dynamic nature of drainage divides and the complex interplay of tectonic,erosional,and lithological processes that shape their evolution.Continued monitoring and advanced geomorphic analysis are essential for understanding the long-term stability of the divide and its response to future tectonic activity and erosional modifications.
基金supported by National Natural Science Foundation of China(Grant Nos.52174324,51974213 and 52204351)the China Postdoctoral Science Foundation(2022M722487)+1 种基金Open fund project(Grant No.FMRUlab23-05)supported by Key Laboratory for Ferrous Metallurgy and Resources Utilization of Ministry of Educationsupport under the scope of the COMET program within the K2 Center“Integrated Computational Material,Process and Product Engineering(IC-MPPE)”(Project No.886385).
文摘Cryogenic steels,i.e.,steels with maximum toughness at particularly low temperature,are increasingly becoming the focus of research.Cryogenic steels are usually alloyed with 5%–9%nickel.Ni can also be substituted by manganese as an austenite former.These high-manganese cryogenic grades are a cost-effective alternative to nickel-alloyed steels for use in liquefied natural gas storage tanks.The Mn content can then be more than 20 wt.%and lead to problems in production,particularly in the continuous casting process.In continuous casting of high-Mn-grades,quality issues and even breakout may result from the initial solidification behavior of the steel grades at high temperatures.Hot cracks form when a critical load is exceeded during solidification,close to the solidus temperature of the steel.A selected high-Mn-steel grade was characterized with respect to liquidus and solidus temperatures by means of thermal analysis and computational thermodynamics.In addition,so-called submerged split chill tensile tests were carried out to further understand the crack sensitivity of the solidifying shell for high-manganese cryogenic steels.The results reveal the presence of coarse hot tears,and also,a high frequency of hot cracks was observed at the location with the maximum accumulated strain,which is in line with the applied cracking criterion of Pierer and Bernhard for this investigation.In summary,the initial solidification phase of continuous casting poses a high risk of cracking for high-manganese cryogenic steel.
文摘BACKGROUND Metastatic colorectal cancer(mCRC)is a global health challenge with a poor prognosis.Prognostic markers are critical for survival prediction.METHODS This multicenter,retrospective study measured baseline carcinoembryonic antigen and carbohydrate antigen 19-9 levels to calculate a TMI as the geometric mean of values normalized to their upper limits of normal.Receiver operating characteristic curve analysis assessed TMI’s prognostic accuracy,and patients were stratified into high-TMI(≥1.39)and low-TMI(<1.39)groups.The primary endpoint was overall survival(OS),with progression-free survival and treatment response as secondary endpoints.RESULTS The study included 305 mCRC patients with a median follow-up of 22.9 months.The median OS for high-TMI patients was 29.5 months,significantly lower than the 45.6 months observed in the low-TMI group(P=0.02).The 2-year OS rates for the high-and low-TMI groups were 59.4%and 72.9%,respectively.Median progression-free survival was also shorter for the high-TMI group(14.0 vs 16.0 months,P=0.84).High TMI is an independent prognostic factor for worse OS.CONCLUSION TMI is a simple,cost-effective prognostic tool for mCRC,with high TMI associated with poorer survival outcomes.
基金supported by the National Natural Science Foundation of China(32225009,32370452,82274046)Jilin Agricultural University High-level Talent Introduction Fund(202020218)。
文摘Mammalian scent glands mediate species-specific chemical communication,yet the mechanistic basis for convergent musk production remain incompletely understood.Forest musk deer and muskrat have independently evolved specialized musk-secreting glands,representing a striking case of convergent evolution.Through an integrated multi-omics approach,this study identified cyclopentadecanone as a shared key metabolic precursor in musk from both forest musk deer and muskrat,although downstream metabolite profiles diverged between the two lineages.Single-cell RNA sequencing revealed that these specialized apocrine glands possessed unique secretory architecture and exhibited transcriptional profiles associated with periodic musk production,distinct from those in conventional apocrine glands.Convergent features were evident at the cellular level,where acinar,ductal,and basal epithelial subtypes showed parallel molecular signatures across both taxa.Notably,acinar cells in both species expressed common genes involved in fatty acid and glycerolipid metabolism(e.g.,ACSBG1,HSD17B12,HACD2,and HADHA),suggesting a conserved molecular framework for musk precursor biosynthesis.Metagenomic analysis of musk samples further revealed parallel microbial community structures dominated by Corynebacterium and enriched in lipid metabolic pathways.These findings suggest multi-level convergence in musk biosynthesis,from molecular pathways to microbial communities,providing novel insights into mammalian chemical signaling and artificial musk production.
基金supported by Beijing Municipal Natural Science Foundation(L222002)the Natural Science Foundation of China(U22B2004).
文摘Existing orthogonal space-time block coding(OSTBC)schemes for backscatter communication systems cannot achieve a full transmission code rate when the tag is equipped with more than two antennas.In this paper,we propose a quasi-orthogonal spacetime block code(QOSTBC)that can achieve a full transmission code rate for backscatter communication systems with a four-antenna tag and then extend the scheme to support tags with 2i antennas.Specifically,we first present the system model for the backscatter system.Next,we propose the QOSTBC scheme to encode the tag signals.Then,we provide the corresponding maximum likelihood detection algorithms to recover the tag signals.Finally,simulation results are provided to demonstrate that our proposed QOSTBC scheme and the detection algorithm can achieve a better transmission code rate or symbol error rate performance for backscatter communication systems compared with benchmark schemes.
文摘This paper provides a comprehensive bibliometric exposition on deepfake research,exploring the intersection of artificial intelligence and deepfakes as well as international collaborations,prominent researchers,organizations,institutions,publications,and key themes.We performed a search on theWeb of Science(WoS)database,focusing on Artificial Intelligence and Deepfakes,and filtered the results across 21 research areas,yielding 1412 articles.Using VOSviewer visualization tool,we analyzed thisWoS data through keyword co-occurrence graphs,emphasizing on four prominent research themes.Compared with existing bibliometric papers on deepfakes,this paper proceeds to identify and discuss some of the highly cited papers within these themes:deepfake detection,feature extraction,face recognition,and forensics.The discussion highlights key challenges and advancements in deepfake research.Furthermore,this paper also discusses pressing issues surrounding deepfakes such as security,regulation,and datasets.We also provide an analysis of another exhaustive search on Scopus database focusing solely on Deepfakes(while not excluding AI)revealing deep learning as the predominant keyword,underscoring AI’s central role in deepfake research.This comprehensive analysis,encompassing over 500 keywords from 8790 articles,uncovered a wide range of methods,implications,applications,concerns,requirements,challenges,models,tools,datasets,and modalities related to deepfakes.Finally,a discussion on recommendations for policymakers,researchers,and other stakeholders is also provided.
文摘Background and objectives:The ongoing mpox outbreaks have garnered significant attention due to their public health implications,particularly the potential mental health impacts.Despite the growing concern,there has been limited exploration of the intersection between mpox and mental health within the research literature.This study aims to conduct a comprehensive bibliometric analysis to examine global research trends,regional distribution,and thematic focus areas related to mpox's psychological and psychiatric implications.Methods:We conducted a bibliometric analysis using Scopus and the Web of Science database.The analysis was carried out using the R-bibliometrics package and involved identifying literature on mpox and mental health,focusing on global research trends,regional distribution,and thematic areas of study.The analysis included 416 documents obtained from 295 sources from January 1,2014 to August 27,2024.Results:Our analysis revealed a growing but unevenly distributed literature on mpox and mental health.Most studies concentrated on the relationship between mpox and conditions such as depression and anxiety,while other psychiatric outcomes remain underexplored.The geographic distribution of research was also uneven,with regions like Europe and the Americas receiving more focus than others.Conclusions:The study highlights the need for more targeted research on the mental health sequelae of mpox,particularly for vulnerable populations and regions that are currently underrepresented in the literature.Future research should include longitudinal studies to assess the long-term effects of mpox on mental health and the development of robust methodologies to establish causality.Integrating mental health considerations into public health responses to mpox outbreaks is crucial,with significant implications for research,policy,and clinical practice.
