Microglia,the resident immune cells of the central nervous system,exhibit a wide array of functional states,even in their so-called“homeostatic”condition,when they are not actively responding to overt pathological s...Microglia,the resident immune cells of the central nervous system,exhibit a wide array of functional states,even in their so-called“homeostatic”condition,when they are not actively responding to overt pathological stimuli.These functional states can be visualized using a combination of multi-omics techniques(e.g.,gene and protein expression,posttranslational modifications,mRNA profiling,and metabolomics),and,in the case of homeostatic microglia,are largely defined by the global(e.g.,genetic variations,organism’s age,sex,circadian rhythms,and gut microbiota)as well as local(specific area of the brain,immediate microglial surrounding,neuron-glia interactions and synaptic density/activity)signals(Paolicelli et al.,2022).While phenomics(i.e.,ultrastructural microglial morphology and motility)is also one of the key microglial state-defining parameters,it is known that cells with similar morphology can belong to different functional states.展开更多
Understanding the complex plasma dynamics in ultra-intense relativistic laser-solid interactions is of fundamental importance for applications of laser-plasma-based particle accelerators,the creation of high-energy-de...Understanding the complex plasma dynamics in ultra-intense relativistic laser-solid interactions is of fundamental importance for applications of laser-plasma-based particle accelerators,the creation of high-energy-density matter,understanding planetary science,and laser-driven fusion energy.However,experimental efforts in this regime have been limited by the lack of accessibility of over-critical densities and the poor spatiotemporal resolution of conventional diagnostics.Over the last decade,the advent of femtosecond brilliant hard X-ray free-electron lasers(XFELs)has opened new horizons to overcome these limitations.Here,for the first time,we present full-scale spatiotemporal measurements of solid-density plasma dynamics,including preplasma generation with tens of nanometer scale length driven by the leading edge of a relativistic laser pulse,ultrafast heating and ionization at the main pulse arrival,the laser-driven blast wave,and transient surface return current-induced compression dynamics up to hundreds of picoseconds after interaction.These observations are enabled by utilizing a novel combination of advanced X-ray diagnostics including small-angle X-ray scattering,resonant X-ray emission spectroscopy,and propagation-based X-ray phase-contrast imaging simultaneously at the European XFEL-HED beamline station.展开更多
The rapid growth of IoT networks necessitates efficient Intrusion Detection Systems(IDS)capable of addressing dynamic security threats under constrained resource environments.This paper proposes a hybrid IDS for IoT n...The rapid growth of IoT networks necessitates efficient Intrusion Detection Systems(IDS)capable of addressing dynamic security threats under constrained resource environments.This paper proposes a hybrid IDS for IoT networks,integrating Support Vector Machine(SVM)and Genetic Algorithm(GA)for feature selection and parameter optimization.The GA reduces the feature set from 41 to 7,achieving a 30%reduction in overhead while maintaining an attack detection rate of 98.79%.Evaluated on the NSL-KDD dataset,the system demonstrates an accuracy of 97.36%,a recall of 98.42%,and an F1-score of 96.67%,with a low false positive rate of 1.5%.Additionally,it effectively detects critical User-to-Root(U2R)attacks at a rate of 96.2%and Remote-to-Local(R2L)attacks at 95.8%.Performance tests validate the system’s scalability for networks with up to 2000 nodes,with detection latencies of 120 ms at 65%CPU utilization in small-scale deployments and 250 ms at 85%CPU utilization in large-scale scenarios.Parameter sensitivity analysis enhances model robustness,while false positive examination aids in reducing administrative overhead for practical deployment.This IDS offers an effective,scalable,and resource-efficient solution for real-world IoT system security,outperforming traditional approaches.展开更多
The malicious dissemination of hate speech via compromised accounts,automated bot networks and malware-driven social media campaigns has become a growing cybersecurity concern.Automatically detecting such content in S...The malicious dissemination of hate speech via compromised accounts,automated bot networks and malware-driven social media campaigns has become a growing cybersecurity concern.Automatically detecting such content in Spanish is challenging due to linguistic complexity and the scarcity of annotated resources.In this paper,we compare two predominant AI-based approaches for the forensic detection of malicious hate speech:(1)finetuning encoder-only models that have been trained in Spanish and(2)In-Context Learning techniques(Zero-and Few-Shot Learning)with large-scale language models.Our approach goes beyond binary classification,proposing a comprehensive,multidimensional evaluation that labels each text by:(1)type of speech,(2)recipient,(3)level of intensity(ordinal)and(4)targeted group(multi-label).Performance is evaluated using an annotated Spanish corpus,standard metrics such as precision,recall and F1-score and stability-oriented metrics to evaluate the stability of the transition from zero-shot to few-shot prompting(Zero-to-Few Shot Retention and Zero-to-Few Shot Gain)are applied.The results indicate that fine-tuned encoder-only models(notably MarIA and BETO variants)consistently deliver the strongest and most reliable performance:in our experiments their macro F1-scores lie roughly in the range of approximately 46%–66%depending on the task.Zero-shot approaches are much less stable and typically yield substantially lower performance(observed F1-scores range approximately 0%–39%),often producing invalid outputs in practice.Few-shot prompting(e.g.,Qwen 38B,Mistral 7B)generally improves stability and recall relative to pure zero-shot,bringing F1-scores into a moderate range of approximately 20%–51%but still falling short of fully fine-tuned models.These findings highlight the importance of supervised adaptation and discuss the potential of both paradigms as components in AI-powered cybersecurity and malware forensics systems designed to identify and mitigate coordinated online hate campaigns.展开更多
Vascular cognitive impairment and dementia is a debilitating neurological disorder caused by chronic cerebral hypoperfusion,for which no effective causative treatments are currently available.Intermittent hypoxia has ...Vascular cognitive impairment and dementia is a debilitating neurological disorder caused by chronic cerebral hypoperfusion,for which no effective causative treatments are currently available.Intermittent hypoxia has been shown to enhance cerebral blood flow in mice,but its efficacy in a model of vascular cognitive impairment and dementia remains unclear.In this study,we established a mouse model of vascular cognitive impairment and dementia by bilateral carotid artery stenosis.Intermittent hypoxia was induced before and after this stenosis.We found that intermittent hypoxia increased cerebral blood flow,oxygen saturation,and microcirculation in the prefrontal cortex and hippocampus in the model mice,without causing neurovascular damage.Additionally,intermittent hypoxia significantly improved cognitive function in the mouse model of vascular cognitive impairment and dementia,with perconditioning showing greater efficacy than preconditioning.Improvements in cerebral microcirculation and blood flow were positively correlated with cognitive recovery.Even in a mouse model of vascular cognitive impairment and dementia with comorbidities induced by a high-fat,high-fructose diet,intermittent hypoxic perconditioning demonstrated protective effects on cognitive function.Proteomic analysis indicated that mitochondrial protection is a key mechanism,particularly through upregulating NDUFB8 expression and increasing the activity of mitochondrial complex I.These findings suggest that intermittent hypoxia is a potential non-invasive strategy for the prevention and treatment of vascular cognitive impairment and dementia.展开更多
Oligodendrocytes and their cell-intrinsic gene regulatory network:Oligodendrocytes(OLs)are the myelinating glial cells of the vertebrate central nervous system.They are responsible for insulating neuronal axons with a...Oligodendrocytes and their cell-intrinsic gene regulatory network:Oligodendrocytes(OLs)are the myelinating glial cells of the vertebrate central nervous system.They are responsible for insulating neuronal axons with a lipid-rich myelin sheath,which enables the saltatory conduction of action potentials.During development,oligodendrocyte progenitor cells(OPCs)emerge from neural stem cells in the ventricular zone.They then proliferate,increase their number,and migrate to their final destination where they encounter unmyelinated neuronal axons and differentiate in a stepwise fashion into myelinating oligodendrocytes(mOLs)under the influence of environmental stimuli.展开更多
In self-pollinating cereals such as rice,wheat,and barley,growing undefined mixtures of genotypes in genetic equilibrium was once standard practice when local populations(landraces)were used.The shift from landraces t...In self-pollinating cereals such as rice,wheat,and barley,growing undefined mixtures of genotypes in genetic equilibrium was once standard practice when local populations(landraces)were used.The shift from landraces to single-genotype varieties led to immediate gains in yield and quality,and over the past century,single-genotype crops have been highly successful.Nonetheless,several studies suggest that variety mixtures(i.e.,two or more consciously selected genotypes of the same crop grown together)may offer advantages over single-genotype varieties(Borg et al.,2018;Kopp et al.,2023).展开更多
AIM:To investigate the effect of pentagonal conjunctival autograft on reducing graft retraction following pterygium surgery.METHODS:This retrospective comparative study included patients who underwent primary pterygiu...AIM:To investigate the effect of pentagonal conjunctival autograft on reducing graft retraction following pterygium surgery.METHODS:This retrospective comparative study included patients who underwent primary pterygium excision with either pentagonal(created by shaping the junction with the recipient conjunctiva into a wedge)or quadrangular conjunctival autograft transplantation.All patients completed a 6mo postoperative follow-up.The primary outcome measure was the incidence of graft retraction;secondary outcomes included graft displacement requiring re-suturing and pterygium recurrence rate.RESULTS:The study enrolled 58 participants,comprising 26(15 males,11 females)in the pentagonal graft group(mean age:54.9±13.1y),and 32(17 males,15 females)in the quadrangular graft group(mean age:57.6±10.4y).Graft retraction occurred in only 1 eye(3.8%)in the pentagonal autograft group,compared to 9 eyes(28.1%)in the quadrangular autograft group.No cases of graft displacement requiring re-suturing were reported in the pentagonal autograft group.Although graft displacement and recurrence requiring re-suturing were observed less frequently in surgeries with a pentagonal graft,the difference was not statistically significant(P>0.05).CONCLUSION:Designing the conjunctival autograft in a pentagonal shape—mimicking geodesic dome architecture and conforming to the eye’s spherical structure—enhances compatibility with the recipient conjunctiva and improves resistance to physical traction forces.This design effectively reduces the incidence of graft retraction and other related complications,providing a more favorable surgical option for pterygium treatment.展开更多
Salient object detection(SOD)models struggle to simultaneously preserve global structure,maintain sharp object boundaries,and sustain computational efficiency in complex scenes.In this study,we propose SPSALNet,a task...Salient object detection(SOD)models struggle to simultaneously preserve global structure,maintain sharp object boundaries,and sustain computational efficiency in complex scenes.In this study,we propose SPSALNet,a task-driven two-stage(macro–micro)architecture that restructures the SOD process around superpixel representations.In the proposed approach,a“split-and-enhance”principle,introduced to our knowledge for the first time in the SOD literature,hierarchically classifies superpixels and then applies targeted refinement only to ambiguous or error-prone regions.At the macro stage,the image is partitioned into content-adaptive superpixel regions,and each superpixel is represented by a high-dimensional region-level feature vector.These representations define a regional decomposition problem in which superpixels are assigned to three classes:background,object interior,and transition regions.Superpixel tokens interact with a global feature vector from a deep network backbone through a cross-attention module and are projected into an enriched embedding space that jointly encodes local topology and global context.At the micro stage,the model employs a U-Net-based refinement process that allocates computational resources only to ambiguous transition regions.The image and distance–similarity maps derived from superpixels are processed through a dual-encoder pathway.Subsequently,channel-aware fusion blocks adaptively combine information from these two sources,producing sharper and more stable object boundaries.Experimental results show that SPSALNet achieves high accuracy with lower computational cost compared to recent competing methods.On the PASCAL-S and DUT-OMRON datasets,SPSALNet exhibits a clear performance advantage across all key metrics,and it ranks first on accuracy-oriented measures on HKU-IS.On the challenging DUT-OMRON benchmark,SPSALNet reaches a MAE of 0.034.Across all datasets,it preserves object boundaries and regional structure in a stable and competitive manner.展开更多
Stem cells are pluripotent cells that can divide and differentiate,forming many different types of cells.Stem cells can be obtained from various sources,with embryonic stem cells being the most advantageous as they po...Stem cells are pluripotent cells that can divide and differentiate,forming many different types of cells.Stem cells can be obtained from various sources,with embryonic stem cells being the most advantageous as they possess a broad dividing potential.When the standard treatment proves ineffective,stem cells are typically utilized as a final option.Infections and childhood malignancies are among the significant causes of mortality in the pediatric population.Stem cell therapy has shown a decrease in morbidity and mortality when used in patients with favorable conditions like young age and lack of comorbidities.This review discusses how stem cells are prepared and used in treating pediatric diseases like X-linked agammaglobulinemia,diabetes mellitus,aplastic anemia,infections,and leukemia.Technological advancement has played a significant role in producing more specific stem cells using genetic modification methods like clustered regularly interspaced short palindromic repeats/CRISPR-associated protein 9,which produce stem cells that target a particular cell type,e.g.,myocytes and hematopoietic cells,further increasing the effectiveness of the therapy.We address the obstacles faced when conducting research related to stem cells,including ethical and legal issues,which hinder the use of this therapy in some fields.We also indicate recommendations for increasing the efficacy of stem cell therapy in the pediatric population.展开更多
Inspections of power transmission lines(PTLs)conducted using unmanned aerial vehicles(UAVs)are complicated by the fine structure of the lines and complex backgrounds,making accurate and efficient segmentation challeng...Inspections of power transmission lines(PTLs)conducted using unmanned aerial vehicles(UAVs)are complicated by the fine structure of the lines and complex backgrounds,making accurate and efficient segmentation challenging.This study presents the Wavelet-Guided Transformer U-Net(WGT-UNet)model,a new hybrid net-work that combines Convolutional Neural Networks(CNNs),Discrete Wavelet Transform(DWT),and Transformer architectures.The model’s primary contribution is based on spatial and channel attention mechanisms derived from wavelet subbands to guide the Transformer’s self-attention structure.Thus,low and high frequency components are separated at each stage using DWT,suppressing structural noise and making linear objects more prominent.The developed design is supported by multi-component hybrid cost functions that simultaneously solve class imbalance,edge sharpness,structural integrity,and spatial regularity issues.Furthermore,high segmentation success has been achieved in producing sharp boundaries and continuous line structures with the DWT-guided attention mechanism.Experiments conducted on the TTPLA dataset reveal that the version using the ConvNeXt backbone outperforms the current state-of-the-art approaches with an F1-Score of 79.33%and an Intersection over Union(IoU)value of 68.38%.The models and visual outputs of the developed method and all compared models can be accessed at https://github.com/burhanbarakli/WGT-UNET.展开更多
A recently published prospective study marks a breakthrough for congenital olfactory disorders in children.The study provides the first long-term,three-year follow-up data,robustly demonstrating the durable efficacy a...A recently published prospective study marks a breakthrough for congenital olfactory disorders in children.The study provides the first long-term,three-year follow-up data,robustly demonstrating the durable efficacy and safety of autologous nasal epithelial stem cell transplantation.This work reveals immense therapeutic potential for a condition traditionally considered untreatable.However,this milestone achievement also presents new challenges.To translate this pioneering therapy from a single-center success to a global standard,multicenter,controlled clinical trials must be initiated immediately.Only through rigorous validation can we ensure its widespread adoption and ultimately bring hope to millions of children worldwide.展开更多
The rise in urbanization has increasingly restricted access to natural environments,posing substantial risks to the physical and mental health of urban populations,including university students and other high-stress g...The rise in urbanization has increasingly restricted access to natural environments,posing substantial risks to the physical and mental health of urban populations,including university students and other high-stress groups.This study examines the comparative effects of outdoor forest meditation(OFM)and indoor nature meditation(INM)in simulated nature environments(SNEs)on the physiological and psychological health of university students.A pretestposttest repeated measures design was employed,with 40students participating in three replicated OFM sessions and three identical INM sessions across varied SNE settings.Key physiological metrics,including heart rate(HR),blood pressure(BP),and salivary amylase concentration(SAC),were measured before and after each session.Psychological well-being was assessed using the Perceived Stress Scale-10(PSS-10)and Profile of Mood States(POMS).Results revealed significant reductions(p<0.05)in most post-intervention outcomes,except in the second indoor session across physiologic al and psychologic al responses,while multi-sensory INM sessions produced comparable benefits.Notably,SNEs with enhanced sensory components were effective,though slightly less impactful than OFM.These findings suggest that both OFM in nature and INM in SNEs can benefit university students'well-being.INM in SNEs offers a promising alternative for those with limited access to natural settings,contributing meaningfully to stress reduction and overall well-being.This study highlights the potential for nature-based strategies for human health in urban centres,advocating for further investigation into the long-term impacts of SNEs and optimal sensory configurations for maximizing therapeutic effects in urban populations.展开更多
Spinal cord injury represents a severe form of central nervous system trauma for which effective treatments remain limited.Microglia is the resident immune cells of the central nervous system,play a critical role in s...Spinal cord injury represents a severe form of central nervous system trauma for which effective treatments remain limited.Microglia is the resident immune cells of the central nervous system,play a critical role in spinal cord injury.Previous studies have shown that microglia can promote neuronal survival by phagocytosing dead cells and debris and by releasing neuroprotective and anti-inflammatory factors.However,excessive activation of microglia can lead to persistent inflammation and contribute to the formation of glial scars,which hinder axonal regeneration.Despite this,the precise role and mechanisms of microglia during the acute phase of spinal cord injury remain controversial and poorly understood.To elucidate the role of microglia in spinal cord injury,we employed the colony-stimulating factor 1 receptor inhibitor PLX5622 to deplete microglia.We observed that sustained depletion of microglia resulted in an expansion of the lesion area,downregulation of brain-derived neurotrophic factor,and impaired functional recovery after spinal cord injury.Next,we generated a transgenic mouse line with conditional overexpression of brain-derived neurotrophic factor specifically in microglia.We found that brain-derived neurotrophic factor overexpression in microglia increased angiogenesis and blood flow following spinal cord injury and facilitated the recovery of hindlimb motor function.Additionally,brain-derived neurotrophic factor overexpression in microglia reduced inflammation and neuronal apoptosis during the acute phase of spinal cord injury.Furthermore,through using specific transgenic mouse lines,TMEM119,and the colony-stimulating factor 1 receptor inhibitor PLX73086,we demonstrated that the neuroprotective effects were predominantly due to brain-derived neurotrophic factor overexpression in microglia rather than macrophages.In conclusion,our findings suggest the critical role of microglia in the formation of protective glial scars.Depleting microglia is detrimental to recovery of spinal cord injury,whereas targeting brain-derived neurotrophic factor overexpression in microglia represents a promising and novel therapeutic strategy to enhance motor function recovery in patients with spinal cord injury.展开更多
Detection and monitoring of pathogens is a central aspect of maintaining public health.Rare and neglected zoonotic viruses have the potential to evolve and expand exponentially,leading to unforeseen outbreaks,epidemic...Detection and monitoring of pathogens is a central aspect of maintaining public health.Rare and neglected zoonotic viruses have the potential to evolve and expand exponentially,leading to unforeseen outbreaks,epidemics,and pandemics.The emerging multiomics and meta-omics techniques and workflows,such as proteogenomics and meta-genomics,offer the potential for the detection of harmful pathogens,as well as opportunities for the discovery of previously unknown bacterial,parasitic,or viral pathogens.Multiomics and meta-omics workflows provide molecular information for tracking pathogens and understanding the effectiveness of spread mitigation strategies.In addition to environmental monitoring,multiomics and meta-omics approaches have the potential for clinical applications and in-depth characterization of novel pathogens.In this review,we discuss recent applications of multiomics and meta-omics techniques,their advantages over traditional methods,and their potential implementations in biomedical research,environmental studies,and healthcare.We critically assess the benefits and challenges of multiomics and meta-omics studies and discuss their future perspectives.展开更多
The rapid advancement of Artificial Intelligence(AI)has transformed educational practices,yet its integration with experiential pedagogies such as drama remains underexplored in English Language Teaching(ELT),particul...The rapid advancement of Artificial Intelligence(AI)has transformed educational practices,yet its integration with experiential pedagogies such as drama remains underexplored in English Language Teaching(ELT),particularly in pre-service teacher education.This study examines how AI-supported drama pedagogy contributes to the professional development of pre-service English teachers,focusing on reflective practice,pedagogical adaptability,creativity,intercultural awareness,and sustainability-oriented teaching perspectives.Grounded in sociocultural theory,experiential learning,and Education for Sustainable Development(ESD),the research adopts an interpretive qualitative case study design conducted over a 12-week elective course titled“Drama in ELT”at a foundation university in Istanbul,Türkiye.Participants included 40 second-year pre-service teachers,with 15 volunteers taking part in semi-structured focus group interviews.Data were collected through open-ended questionnaires and focus groups and analyzed using reflexive thematic analysis.Four interrelated themes emerged:creativity and pedagogical innovation,intercultural awareness and empathy,problem-solving and adaptability,and reflective professional growth with ethical awareness.Findings suggest that AI acted as a mediational scaffold that enriched drama-based learning while preserving human agency.The study concludes that integrating AI with drama offers a meaningful model for sustainable teacher education aligned with SDG 4(Quality Education)and SDG 9(Industry,Innovation and Infrastructure).展开更多
AIM:To examine the ocular toxicity linked to sildenafilusage and the possible protective benefits of adenosinetriphosphate(ATP)against this toxicity in rats.METHODS:Twenty-four male albino Wistar-type ratswere divided...AIM:To examine the ocular toxicity linked to sildenafilusage and the possible protective benefits of adenosinetriphosphate(ATP)against this toxicity in rats.METHODS:Twenty-four male albino Wistar-type ratswere divided into four equal groups(n=6/group)as follows:healthy group(HG),ATP-only group(ATPG),sildenafil-onlygroup(SILG),and ATP+sildenafil group(ATP+SLD).ATPG andATP+SLD groups were injected intraperitoneally with ATP(4 mg/kg),while SILG and HG groups were injected withsaline(0.9%NaCl)by the same route as a solvent.One hourafter the administration of ATP and solvent,sildenafil(10 m g/k g)was administered orally to the SILG andATP+SLD groups.This procedure was repeated once a dayfor 4wk.The animals were then sacrificed,eyeballs wereremoved and oxidant and antioxidant parameters weremeasured biochemically.Additionally,the ocular tissueswere evaluated histopathologically.RESULTS:Sildenafil increased oxidant(malondialdehyde)levels and decreased antioxidant levels(total glutathione,superoxide dismutase,catalase)in rat ocular tissues andcaused severe oxidative stress.In addition,sildenafil hasbeen shown histopathologically to cause oxidative damagein retinal layers.ATP treatment suppressed oxidative stressand attenuated histopathological damage in the retinal layers.CONCLUSION:ATP protects retinal tissue againstsildenafil-induced ocular oxidative damage in rats andmay contribute to the development of novel approaches toprevent or treat this damage.展开更多
AIM:To evaluate the predictive value of pan-immuneinflammation value(PIV)in the diagnosis of proliferative diabetic retinopathy(PDR)and its association with the stage of PDR.METHODS:This observational case-control stu...AIM:To evaluate the predictive value of pan-immuneinflammation value(PIV)in the diagnosis of proliferative diabetic retinopathy(PDR)and its association with the stage of PDR.METHODS:This observational case-control study included participants who underwent routine complete blood count testing.Inflammation-related indices,including neutrophil-to-lymphocyte ratio,systemic immune-inflammation index(SII),and PIV,were derived and analyzed.Receiver operating characteristic curve(ROC)analysis was applied to assess the diagnostic performance of these indices in distinguishing patients with PDR,with sensitivity,specificity,area under ROC,and optimal threshold values calculated.In addition,binary logistic regression analysis was performed to evaluate the association between inflammatory indices and PDR stage.RESULTS:This study included 205 patients:60 with diabetes without retinopathy(mean age:61.81±10.76y),80 with PDR(mean age:61.63±10.03y)and 65 healthy controls(mean age:59.52±5.88y).The PDR group had significantly higher white blood cell(WBC,P<0.001),monocyte(MONO,P=0.009)and neutrophil(NEU)counts(P<0.001).SII and PIV had the highest sensitivity and area under ROC for predicting patients with PDR(0.822,0.846,respectively).The optimal cut-off values for discriminating patients with PDR were determined to be>527.12 and>299.08 for SII and PIV,respectively.The logistic regression analysis demonstrated that a decrease in lymphocyte(LYM)count and an increase in platelet count(PLT),glycated haemoglobin(HbA1c),SII,and PIV were all significantly associated with the development of high-risk PDR(all P<0.05).PIV was more stable than independent MONO,LYM,PLT and NEU levels in predicting both the diagnosis and stage of PDR.The optimal cut-off value for PIV to discriminate patients with high-risk PDR was found to be>345.87 area under ROC=0.871,with sensitivity of 0.827 and specificity of 0.812.CONCLUSION:PIV is a reliable,valuable,and inexpensive blood index that can be used for early detection and staging of PDR.PIV may therefore be essential to be used for the follow-up of diabetic patients.展开更多
The Almus Fault Zone(AFZ)is one of the major splay faults of the North Anatolian Fault Zone(NAFZ)and is important for understanding its tectonic features and assessing regional seismic hazards.This research presents t...The Almus Fault Zone(AFZ)is one of the major splay faults of the North Anatolian Fault Zone(NAFZ)and is important for understanding its tectonic features and assessing regional seismic hazards.This research presents the integration of morphometric indices to quantitatively assess the spatial variation of tectonic activity along the AFZ.The AFZ is an active fault with both strike-slip and normal fault components and consists of two main branches,Mercimekdağı-Çamdere Fault(MÇF)and Tokat Fault(TF)segments.This study aims to assess the relative tectonic activity of the AFZ using various morphometric indices,based on a 10 m resolution DEM,with the aid of ArcGIS and MATLAB software.For this purpose,morphometric indices such as hypsometric integral(HI:0.35-0.65),mountain front sinuosity(Smf:1.3-1.44),valley floor width-height ratio(Vf:0.15-2.28),asymmetry factor(AF:23-77),drainage basin shape(Bs:1.13-6.10)and normalized steepness index(ksn:1-498)were applied to 53 drainage basins.When the Smf and mean Vf indices results were evaluated,it was calculated that the uplift ratio of the region was more than 0.5 mm/yr.The spatial distribution of the relative tectonic activity(Iat)of the area was revealed by combining the obtained morphometric indices analysis results.According to the Iat result,it was concluded that the MercimekdağıÇamdere Fault and Tokat Fault segments have high tectonic activity,but the Mercimekdağı-Çamdere Fault segment has higher tectonic activity.The results obtained were also confirmed by field observations.This research provides valuable information for the evaluation of tectonic activity in drainage systems controlled by splay faults.展开更多
An analytical model of a floating heaving box integrated with a vertical flexible porous membrane placed right next to the box applications to wave energy extraction and breakwater systems is developed under the reduc...An analytical model of a floating heaving box integrated with a vertical flexible porous membrane placed right next to the box applications to wave energy extraction and breakwater systems is developed under the reduced wave equation.The theoretical solutions for the heave radiating potential to the assigned physical model in the corresponding zones are attained by using the separation of variables approach along with the Fourier expansion.Applying the matching eigenfunction expansion technique and orthogonal conditions,the unknown coefficients that are involved in the radiated potentials are determined.The attained radiation potential allows the computation of hydrodynamic coefficients of the heaving buoy,Power Take-Off damping,and wave quantities.The accuracy of the analytical solution for the hydrodynamic coefficients is demonstrated for different oblique angles with varying numbers of terms in the series solution.The current analytical analysis findings are confirmed by existing published numerical boundary element method simulations.Several numerical results of the hydrodynamic coefficients,power capture,power take-off optimal damping,and transmission coefficients for numerous structural and physical aspects are conducted.It has been noted that the ideal power take-off damping increases as the angle of incidence rises,and the analysis suggests that the ability to capture waves is more effective in shallower waters compared to deeper ones.展开更多
基金supported by Deutsche Forschungsgemeinschaft,German Research Foundation grant GA 654/13-2 to OG.
文摘Microglia,the resident immune cells of the central nervous system,exhibit a wide array of functional states,even in their so-called“homeostatic”condition,when they are not actively responding to overt pathological stimuli.These functional states can be visualized using a combination of multi-omics techniques(e.g.,gene and protein expression,posttranslational modifications,mRNA profiling,and metabolomics),and,in the case of homeostatic microglia,are largely defined by the global(e.g.,genetic variations,organism’s age,sex,circadian rhythms,and gut microbiota)as well as local(specific area of the brain,immediate microglial surrounding,neuron-glia interactions and synaptic density/activity)signals(Paolicelli et al.,2022).While phenomics(i.e.,ultrastructural microglial morphology and motility)is also one of the key microglial state-defining parameters,it is known that cells with similar morphology can belong to different functional states.
基金funding from Grant No. HIDSS-0002 DASHH (Data Science in Hamburg-Helmholtz Graduate School for the Structure of Matter)partially supported by the Helmholtz Imaging platform through the project “Smart Phase.”
文摘Understanding the complex plasma dynamics in ultra-intense relativistic laser-solid interactions is of fundamental importance for applications of laser-plasma-based particle accelerators,the creation of high-energy-density matter,understanding planetary science,and laser-driven fusion energy.However,experimental efforts in this regime have been limited by the lack of accessibility of over-critical densities and the poor spatiotemporal resolution of conventional diagnostics.Over the last decade,the advent of femtosecond brilliant hard X-ray free-electron lasers(XFELs)has opened new horizons to overcome these limitations.Here,for the first time,we present full-scale spatiotemporal measurements of solid-density plasma dynamics,including preplasma generation with tens of nanometer scale length driven by the leading edge of a relativistic laser pulse,ultrafast heating and ionization at the main pulse arrival,the laser-driven blast wave,and transient surface return current-induced compression dynamics up to hundreds of picoseconds after interaction.These observations are enabled by utilizing a novel combination of advanced X-ray diagnostics including small-angle X-ray scattering,resonant X-ray emission spectroscopy,and propagation-based X-ray phase-contrast imaging simultaneously at the European XFEL-HED beamline station.
文摘The rapid growth of IoT networks necessitates efficient Intrusion Detection Systems(IDS)capable of addressing dynamic security threats under constrained resource environments.This paper proposes a hybrid IDS for IoT networks,integrating Support Vector Machine(SVM)and Genetic Algorithm(GA)for feature selection and parameter optimization.The GA reduces the feature set from 41 to 7,achieving a 30%reduction in overhead while maintaining an attack detection rate of 98.79%.Evaluated on the NSL-KDD dataset,the system demonstrates an accuracy of 97.36%,a recall of 98.42%,and an F1-score of 96.67%,with a low false positive rate of 1.5%.Additionally,it effectively detects critical User-to-Root(U2R)attacks at a rate of 96.2%and Remote-to-Local(R2L)attacks at 95.8%.Performance tests validate the system’s scalability for networks with up to 2000 nodes,with detection latencies of 120 ms at 65%CPU utilization in small-scale deployments and 250 ms at 85%CPU utilization in large-scale scenarios.Parameter sensitivity analysis enhances model robustness,while false positive examination aids in reducing administrative overhead for practical deployment.This IDS offers an effective,scalable,and resource-efficient solution for real-world IoT system security,outperforming traditional approaches.
基金the research project LaTe4PoliticES(PID2022-138099OB-I00)funded by MCIN/AEI/10.13039/501100011033 and the European Fund for Regional Development(ERDF)-a way to make Europe.Tomás Bernal-Beltrán is supported by University of Murcia through the predoctoral programme.
文摘The malicious dissemination of hate speech via compromised accounts,automated bot networks and malware-driven social media campaigns has become a growing cybersecurity concern.Automatically detecting such content in Spanish is challenging due to linguistic complexity and the scarcity of annotated resources.In this paper,we compare two predominant AI-based approaches for the forensic detection of malicious hate speech:(1)finetuning encoder-only models that have been trained in Spanish and(2)In-Context Learning techniques(Zero-and Few-Shot Learning)with large-scale language models.Our approach goes beyond binary classification,proposing a comprehensive,multidimensional evaluation that labels each text by:(1)type of speech,(2)recipient,(3)level of intensity(ordinal)and(4)targeted group(multi-label).Performance is evaluated using an annotated Spanish corpus,standard metrics such as precision,recall and F1-score and stability-oriented metrics to evaluate the stability of the transition from zero-shot to few-shot prompting(Zero-to-Few Shot Retention and Zero-to-Few Shot Gain)are applied.The results indicate that fine-tuned encoder-only models(notably MarIA and BETO variants)consistently deliver the strongest and most reliable performance:in our experiments their macro F1-scores lie roughly in the range of approximately 46%–66%depending on the task.Zero-shot approaches are much less stable and typically yield substantially lower performance(observed F1-scores range approximately 0%–39%),often producing invalid outputs in practice.Few-shot prompting(e.g.,Qwen 38B,Mistral 7B)generally improves stability and recall relative to pure zero-shot,bringing F1-scores into a moderate range of approximately 20%–51%but still falling short of fully fine-tuned models.These findings highlight the importance of supervised adaptation and discuss the potential of both paradigms as components in AI-powered cybersecurity and malware forensics systems designed to identify and mitigate coordinated online hate campaigns.
基金supported by the Beijing Nova Program,Nos.20230484436,Z211100002121038the Chinese Institutes for Medical Research,No.CX23YQ01+1 种基金the NationalNatural Science Foundation of China,Nos.32100925,82027802Beijing-Tianjin-Hebei Basic Research Cooperation Project,No.22JCZXJC00190(all to XJand JL).
文摘Vascular cognitive impairment and dementia is a debilitating neurological disorder caused by chronic cerebral hypoperfusion,for which no effective causative treatments are currently available.Intermittent hypoxia has been shown to enhance cerebral blood flow in mice,but its efficacy in a model of vascular cognitive impairment and dementia remains unclear.In this study,we established a mouse model of vascular cognitive impairment and dementia by bilateral carotid artery stenosis.Intermittent hypoxia was induced before and after this stenosis.We found that intermittent hypoxia increased cerebral blood flow,oxygen saturation,and microcirculation in the prefrontal cortex and hippocampus in the model mice,without causing neurovascular damage.Additionally,intermittent hypoxia significantly improved cognitive function in the mouse model of vascular cognitive impairment and dementia,with perconditioning showing greater efficacy than preconditioning.Improvements in cerebral microcirculation and blood flow were positively correlated with cognitive recovery.Even in a mouse model of vascular cognitive impairment and dementia with comorbidities induced by a high-fat,high-fructose diet,intermittent hypoxic perconditioning demonstrated protective effects on cognitive function.Proteomic analysis indicated that mitochondrial protection is a key mechanism,particularly through upregulating NDUFB8 expression and increasing the activity of mitochondrial complex I.These findings suggest that intermittent hypoxia is a potential non-invasive strategy for the prevention and treatment of vascular cognitive impairment and dementia.
基金supported by grants from the Deutsche Forschungsgemeinschaft(DFG)to MW.
文摘Oligodendrocytes and their cell-intrinsic gene regulatory network:Oligodendrocytes(OLs)are the myelinating glial cells of the vertebrate central nervous system.They are responsible for insulating neuronal axons with a lipid-rich myelin sheath,which enables the saltatory conduction of action potentials.During development,oligodendrocyte progenitor cells(OPCs)emerge from neural stem cells in the ventricular zone.They then proliferate,increase their number,and migrate to their final destination where they encounter unmyelinated neuronal axons and differentiate in a stepwise fashion into myelinating oligodendrocytes(mOLs)under the influence of environmental stimuli.
基金supported by the FACCE-JPI SusCrop project RECOBAR,funded by MASAF(D.M.no.142548)the Deutsche Forschungsgemeinschaft under the Emmy Noether Programme(project no.442020478).
文摘In self-pollinating cereals such as rice,wheat,and barley,growing undefined mixtures of genotypes in genetic equilibrium was once standard practice when local populations(landraces)were used.The shift from landraces to single-genotype varieties led to immediate gains in yield and quality,and over the past century,single-genotype crops have been highly successful.Nonetheless,several studies suggest that variety mixtures(i.e.,two or more consciously selected genotypes of the same crop grown together)may offer advantages over single-genotype varieties(Borg et al.,2018;Kopp et al.,2023).
文摘AIM:To investigate the effect of pentagonal conjunctival autograft on reducing graft retraction following pterygium surgery.METHODS:This retrospective comparative study included patients who underwent primary pterygium excision with either pentagonal(created by shaping the junction with the recipient conjunctiva into a wedge)or quadrangular conjunctival autograft transplantation.All patients completed a 6mo postoperative follow-up.The primary outcome measure was the incidence of graft retraction;secondary outcomes included graft displacement requiring re-suturing and pterygium recurrence rate.RESULTS:The study enrolled 58 participants,comprising 26(15 males,11 females)in the pentagonal graft group(mean age:54.9±13.1y),and 32(17 males,15 females)in the quadrangular graft group(mean age:57.6±10.4y).Graft retraction occurred in only 1 eye(3.8%)in the pentagonal autograft group,compared to 9 eyes(28.1%)in the quadrangular autograft group.No cases of graft displacement requiring re-suturing were reported in the pentagonal autograft group.Although graft displacement and recurrence requiring re-suturing were observed less frequently in surgeries with a pentagonal graft,the difference was not statistically significant(P>0.05).CONCLUSION:Designing the conjunctival autograft in a pentagonal shape—mimicking geodesic dome architecture and conforming to the eye’s spherical structure—enhances compatibility with the recipient conjunctiva and improves resistance to physical traction forces.This design effectively reduces the incidence of graft retraction and other related complications,providing a more favorable surgical option for pterygium treatment.
文摘Salient object detection(SOD)models struggle to simultaneously preserve global structure,maintain sharp object boundaries,and sustain computational efficiency in complex scenes.In this study,we propose SPSALNet,a task-driven two-stage(macro–micro)architecture that restructures the SOD process around superpixel representations.In the proposed approach,a“split-and-enhance”principle,introduced to our knowledge for the first time in the SOD literature,hierarchically classifies superpixels and then applies targeted refinement only to ambiguous or error-prone regions.At the macro stage,the image is partitioned into content-adaptive superpixel regions,and each superpixel is represented by a high-dimensional region-level feature vector.These representations define a regional decomposition problem in which superpixels are assigned to three classes:background,object interior,and transition regions.Superpixel tokens interact with a global feature vector from a deep network backbone through a cross-attention module and are projected into an enriched embedding space that jointly encodes local topology and global context.At the micro stage,the model employs a U-Net-based refinement process that allocates computational resources only to ambiguous transition regions.The image and distance–similarity maps derived from superpixels are processed through a dual-encoder pathway.Subsequently,channel-aware fusion blocks adaptively combine information from these two sources,producing sharper and more stable object boundaries.Experimental results show that SPSALNet achieves high accuracy with lower computational cost compared to recent competing methods.On the PASCAL-S and DUT-OMRON datasets,SPSALNet exhibits a clear performance advantage across all key metrics,and it ranks first on accuracy-oriented measures on HKU-IS.On the challenging DUT-OMRON benchmark,SPSALNet reaches a MAE of 0.034.Across all datasets,it preserves object boundaries and regional structure in a stable and competitive manner.
文摘Stem cells are pluripotent cells that can divide and differentiate,forming many different types of cells.Stem cells can be obtained from various sources,with embryonic stem cells being the most advantageous as they possess a broad dividing potential.When the standard treatment proves ineffective,stem cells are typically utilized as a final option.Infections and childhood malignancies are among the significant causes of mortality in the pediatric population.Stem cell therapy has shown a decrease in morbidity and mortality when used in patients with favorable conditions like young age and lack of comorbidities.This review discusses how stem cells are prepared and used in treating pediatric diseases like X-linked agammaglobulinemia,diabetes mellitus,aplastic anemia,infections,and leukemia.Technological advancement has played a significant role in producing more specific stem cells using genetic modification methods like clustered regularly interspaced short palindromic repeats/CRISPR-associated protein 9,which produce stem cells that target a particular cell type,e.g.,myocytes and hematopoietic cells,further increasing the effectiveness of the therapy.We address the obstacles faced when conducting research related to stem cells,including ethical and legal issues,which hinder the use of this therapy in some fields.We also indicate recommendations for increasing the efficacy of stem cell therapy in the pediatric population.
文摘Inspections of power transmission lines(PTLs)conducted using unmanned aerial vehicles(UAVs)are complicated by the fine structure of the lines and complex backgrounds,making accurate and efficient segmentation challenging.This study presents the Wavelet-Guided Transformer U-Net(WGT-UNet)model,a new hybrid net-work that combines Convolutional Neural Networks(CNNs),Discrete Wavelet Transform(DWT),and Transformer architectures.The model’s primary contribution is based on spatial and channel attention mechanisms derived from wavelet subbands to guide the Transformer’s self-attention structure.Thus,low and high frequency components are separated at each stage using DWT,suppressing structural noise and making linear objects more prominent.The developed design is supported by multi-component hybrid cost functions that simultaneously solve class imbalance,edge sharpness,structural integrity,and spatial regularity issues.Furthermore,high segmentation success has been achieved in producing sharp boundaries and continuous line structures with the DWT-guided attention mechanism.Experiments conducted on the TTPLA dataset reveal that the version using the ConvNeXt backbone outperforms the current state-of-the-art approaches with an F1-Score of 79.33%and an Intersection over Union(IoU)value of 68.38%.The models and visual outputs of the developed method and all compared models can be accessed at https://github.com/burhanbarakli/WGT-UNET.
文摘A recently published prospective study marks a breakthrough for congenital olfactory disorders in children.The study provides the first long-term,three-year follow-up data,robustly demonstrating the durable efficacy and safety of autologous nasal epithelial stem cell transplantation.This work reveals immense therapeutic potential for a condition traditionally considered untreatable.However,this milestone achievement also presents new challenges.To translate this pioneering therapy from a single-center success to a global standard,multicenter,controlled clinical trials must be initiated immediately.Only through rigorous validation can we ensure its widespread adoption and ultimately bring hope to millions of children worldwide.
基金funded by UBC Forest and Human Wellbeing Research(Grant No.GR020223)。
文摘The rise in urbanization has increasingly restricted access to natural environments,posing substantial risks to the physical and mental health of urban populations,including university students and other high-stress groups.This study examines the comparative effects of outdoor forest meditation(OFM)and indoor nature meditation(INM)in simulated nature environments(SNEs)on the physiological and psychological health of university students.A pretestposttest repeated measures design was employed,with 40students participating in three replicated OFM sessions and three identical INM sessions across varied SNE settings.Key physiological metrics,including heart rate(HR),blood pressure(BP),and salivary amylase concentration(SAC),were measured before and after each session.Psychological well-being was assessed using the Perceived Stress Scale-10(PSS-10)and Profile of Mood States(POMS).Results revealed significant reductions(p<0.05)in most post-intervention outcomes,except in the second indoor session across physiologic al and psychologic al responses,while multi-sensory INM sessions produced comparable benefits.Notably,SNEs with enhanced sensory components were effective,though slightly less impactful than OFM.These findings suggest that both OFM in nature and INM in SNEs can benefit university students'well-being.INM in SNEs offers a promising alternative for those with limited access to natural settings,contributing meaningfully to stress reduction and overall well-being.This study highlights the potential for nature-based strategies for human health in urban centres,advocating for further investigation into the long-term impacts of SNEs and optimal sensory configurations for maximizing therapeutic effects in urban populations.
基金supported by the National Natural Science Foundation of China,Nos.82072165 and 82272256(both to XM)the Key Project of Xiangyang Central Hospital,No.2023YZ03(to RM)。
文摘Spinal cord injury represents a severe form of central nervous system trauma for which effective treatments remain limited.Microglia is the resident immune cells of the central nervous system,play a critical role in spinal cord injury.Previous studies have shown that microglia can promote neuronal survival by phagocytosing dead cells and debris and by releasing neuroprotective and anti-inflammatory factors.However,excessive activation of microglia can lead to persistent inflammation and contribute to the formation of glial scars,which hinder axonal regeneration.Despite this,the precise role and mechanisms of microglia during the acute phase of spinal cord injury remain controversial and poorly understood.To elucidate the role of microglia in spinal cord injury,we employed the colony-stimulating factor 1 receptor inhibitor PLX5622 to deplete microglia.We observed that sustained depletion of microglia resulted in an expansion of the lesion area,downregulation of brain-derived neurotrophic factor,and impaired functional recovery after spinal cord injury.Next,we generated a transgenic mouse line with conditional overexpression of brain-derived neurotrophic factor specifically in microglia.We found that brain-derived neurotrophic factor overexpression in microglia increased angiogenesis and blood flow following spinal cord injury and facilitated the recovery of hindlimb motor function.Additionally,brain-derived neurotrophic factor overexpression in microglia reduced inflammation and neuronal apoptosis during the acute phase of spinal cord injury.Furthermore,through using specific transgenic mouse lines,TMEM119,and the colony-stimulating factor 1 receptor inhibitor PLX73086,we demonstrated that the neuroprotective effects were predominantly due to brain-derived neurotrophic factor overexpression in microglia rather than macrophages.In conclusion,our findings suggest the critical role of microglia in the formation of protective glial scars.Depleting microglia is detrimental to recovery of spinal cord injury,whereas targeting brain-derived neurotrophic factor overexpression in microglia represents a promising and novel therapeutic strategy to enhance motor function recovery in patients with spinal cord injury.
文摘Detection and monitoring of pathogens is a central aspect of maintaining public health.Rare and neglected zoonotic viruses have the potential to evolve and expand exponentially,leading to unforeseen outbreaks,epidemics,and pandemics.The emerging multiomics and meta-omics techniques and workflows,such as proteogenomics and meta-genomics,offer the potential for the detection of harmful pathogens,as well as opportunities for the discovery of previously unknown bacterial,parasitic,or viral pathogens.Multiomics and meta-omics workflows provide molecular information for tracking pathogens and understanding the effectiveness of spread mitigation strategies.In addition to environmental monitoring,multiomics and meta-omics approaches have the potential for clinical applications and in-depth characterization of novel pathogens.In this review,we discuss recent applications of multiomics and meta-omics techniques,their advantages over traditional methods,and their potential implementations in biomedical research,environmental studies,and healthcare.We critically assess the benefits and challenges of multiomics and meta-omics studies and discuss their future perspectives.
文摘The rapid advancement of Artificial Intelligence(AI)has transformed educational practices,yet its integration with experiential pedagogies such as drama remains underexplored in English Language Teaching(ELT),particularly in pre-service teacher education.This study examines how AI-supported drama pedagogy contributes to the professional development of pre-service English teachers,focusing on reflective practice,pedagogical adaptability,creativity,intercultural awareness,and sustainability-oriented teaching perspectives.Grounded in sociocultural theory,experiential learning,and Education for Sustainable Development(ESD),the research adopts an interpretive qualitative case study design conducted over a 12-week elective course titled“Drama in ELT”at a foundation university in Istanbul,Türkiye.Participants included 40 second-year pre-service teachers,with 15 volunteers taking part in semi-structured focus group interviews.Data were collected through open-ended questionnaires and focus groups and analyzed using reflexive thematic analysis.Four interrelated themes emerged:creativity and pedagogical innovation,intercultural awareness and empathy,problem-solving and adaptability,and reflective professional growth with ethical awareness.Findings suggest that AI acted as a mediational scaffold that enriched drama-based learning while preserving human agency.The study concludes that integrating AI with drama offers a meaningful model for sustainable teacher education aligned with SDG 4(Quality Education)and SDG 9(Industry,Innovation and Infrastructure).
文摘AIM:To examine the ocular toxicity linked to sildenafilusage and the possible protective benefits of adenosinetriphosphate(ATP)against this toxicity in rats.METHODS:Twenty-four male albino Wistar-type ratswere divided into four equal groups(n=6/group)as follows:healthy group(HG),ATP-only group(ATPG),sildenafil-onlygroup(SILG),and ATP+sildenafil group(ATP+SLD).ATPG andATP+SLD groups were injected intraperitoneally with ATP(4 mg/kg),while SILG and HG groups were injected withsaline(0.9%NaCl)by the same route as a solvent.One hourafter the administration of ATP and solvent,sildenafil(10 m g/k g)was administered orally to the SILG andATP+SLD groups.This procedure was repeated once a dayfor 4wk.The animals were then sacrificed,eyeballs wereremoved and oxidant and antioxidant parameters weremeasured biochemically.Additionally,the ocular tissueswere evaluated histopathologically.RESULTS:Sildenafil increased oxidant(malondialdehyde)levels and decreased antioxidant levels(total glutathione,superoxide dismutase,catalase)in rat ocular tissues andcaused severe oxidative stress.In addition,sildenafil hasbeen shown histopathologically to cause oxidative damagein retinal layers.ATP treatment suppressed oxidative stressand attenuated histopathological damage in the retinal layers.CONCLUSION:ATP protects retinal tissue againstsildenafil-induced ocular oxidative damage in rats andmay contribute to the development of novel approaches toprevent or treat this damage.
文摘AIM:To evaluate the predictive value of pan-immuneinflammation value(PIV)in the diagnosis of proliferative diabetic retinopathy(PDR)and its association with the stage of PDR.METHODS:This observational case-control study included participants who underwent routine complete blood count testing.Inflammation-related indices,including neutrophil-to-lymphocyte ratio,systemic immune-inflammation index(SII),and PIV,were derived and analyzed.Receiver operating characteristic curve(ROC)analysis was applied to assess the diagnostic performance of these indices in distinguishing patients with PDR,with sensitivity,specificity,area under ROC,and optimal threshold values calculated.In addition,binary logistic regression analysis was performed to evaluate the association between inflammatory indices and PDR stage.RESULTS:This study included 205 patients:60 with diabetes without retinopathy(mean age:61.81±10.76y),80 with PDR(mean age:61.63±10.03y)and 65 healthy controls(mean age:59.52±5.88y).The PDR group had significantly higher white blood cell(WBC,P<0.001),monocyte(MONO,P=0.009)and neutrophil(NEU)counts(P<0.001).SII and PIV had the highest sensitivity and area under ROC for predicting patients with PDR(0.822,0.846,respectively).The optimal cut-off values for discriminating patients with PDR were determined to be>527.12 and>299.08 for SII and PIV,respectively.The logistic regression analysis demonstrated that a decrease in lymphocyte(LYM)count and an increase in platelet count(PLT),glycated haemoglobin(HbA1c),SII,and PIV were all significantly associated with the development of high-risk PDR(all P<0.05).PIV was more stable than independent MONO,LYM,PLT and NEU levels in predicting both the diagnosis and stage of PDR.The optimal cut-off value for PIV to discriminate patients with high-risk PDR was found to be>345.87 area under ROC=0.871,with sensitivity of 0.827 and specificity of 0.812.CONCLUSION:PIV is a reliable,valuable,and inexpensive blood index that can be used for early detection and staging of PDR.PIV may therefore be essential to be used for the follow-up of diabetic patients.
文摘The Almus Fault Zone(AFZ)is one of the major splay faults of the North Anatolian Fault Zone(NAFZ)and is important for understanding its tectonic features and assessing regional seismic hazards.This research presents the integration of morphometric indices to quantitatively assess the spatial variation of tectonic activity along the AFZ.The AFZ is an active fault with both strike-slip and normal fault components and consists of two main branches,Mercimekdağı-Çamdere Fault(MÇF)and Tokat Fault(TF)segments.This study aims to assess the relative tectonic activity of the AFZ using various morphometric indices,based on a 10 m resolution DEM,with the aid of ArcGIS and MATLAB software.For this purpose,morphometric indices such as hypsometric integral(HI:0.35-0.65),mountain front sinuosity(Smf:1.3-1.44),valley floor width-height ratio(Vf:0.15-2.28),asymmetry factor(AF:23-77),drainage basin shape(Bs:1.13-6.10)and normalized steepness index(ksn:1-498)were applied to 53 drainage basins.When the Smf and mean Vf indices results were evaluated,it was calculated that the uplift ratio of the region was more than 0.5 mm/yr.The spatial distribution of the relative tectonic activity(Iat)of the area was revealed by combining the obtained morphometric indices analysis results.According to the Iat result,it was concluded that the MercimekdağıÇamdere Fault and Tokat Fault segments have high tectonic activity,but the Mercimekdağı-Çamdere Fault segment has higher tectonic activity.The results obtained were also confirmed by field observations.This research provides valuable information for the evaluation of tectonic activity in drainage systems controlled by splay faults.
基金Open access funding provided by FCT|FCCN(b-on)the Strategic Research Plan of the Centre for Marine Technology and Ocean Engineering(CENTEC),which is financed by the Portuguese Foundation for Science and Technology(Fundação para a Ciência e Tecnologia-FCT)under contract UIDB/UIDP/00134/2020.
文摘An analytical model of a floating heaving box integrated with a vertical flexible porous membrane placed right next to the box applications to wave energy extraction and breakwater systems is developed under the reduced wave equation.The theoretical solutions for the heave radiating potential to the assigned physical model in the corresponding zones are attained by using the separation of variables approach along with the Fourier expansion.Applying the matching eigenfunction expansion technique and orthogonal conditions,the unknown coefficients that are involved in the radiated potentials are determined.The attained radiation potential allows the computation of hydrodynamic coefficients of the heaving buoy,Power Take-Off damping,and wave quantities.The accuracy of the analytical solution for the hydrodynamic coefficients is demonstrated for different oblique angles with varying numbers of terms in the series solution.The current analytical analysis findings are confirmed by existing published numerical boundary element method simulations.Several numerical results of the hydrodynamic coefficients,power capture,power take-off optimal damping,and transmission coefficients for numerous structural and physical aspects are conducted.It has been noted that the ideal power take-off damping increases as the angle of incidence rises,and the analysis suggests that the ability to capture waves is more effective in shallower waters compared to deeper ones.
