Objectives: Due to presence of extensively fascinating coral reef ecosystem in the continental shelf of Andaman and Nicobar Islands, people from all over the world visit these islands of India to indulge in recreation...Objectives: Due to presence of extensively fascinating coral reef ecosystem in the continental shelf of Andaman and Nicobar Islands, people from all over the world visit these islands of India to indulge in recreational diving. An increased participation figure has also elevated the number of divers at risk for Decompression Sickness (DCS). Despite this, no scientific data are available on DCS incidents from India. Present study is aimed to evaluate the DCS incidents reported in these islands, treatment provided, and the outcome of the treatment. An attempt has also been made to calculate the approximate frequency of DCS in comparison to the participation figure. Methods: Study design is retrospective data analyses of a recompression chamber. Naval Diving Unit Port Blair has the only active decompression chamber available in the islands, and Govind Ballabh Pant Hospital Port Blair was used to collect information on DCS incidents that occurred during the mentioned period. Due to lack of authenticated generalized documents of divers’ health history and dive logs, the scanty information was gathered from the dive centres on the basis of personal interviews/communications among the SCUBA diving instructors. Results: A total of nine cases were reported during the span of last four and half years, and thus approximate frequency of DCS in Andamans was 0.2/10000 divers year. All of the patients recovered completely after receiving the Hyperbaric Oxygen Therapy (HBOT), with no residual symptoms. Conclusions: Incident rate of DCS in Andamans is lower than that in many other parts of the world;possible reason could be under-reporting of less severe DCS cases. During the study period, the number of DCS type II incidents presented for the treatment was higher than that of DCS type I incidents. HBOT proved a complete success in treating DCS cases in the island.展开更多
The long-term consequences of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)infection,known as the post-acute sequelae of COVID-19(PASC),have been a growing concern.A significant proportion of COVID-19 pa...The long-term consequences of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)infection,known as the post-acute sequelae of COVID-19(PASC),have been a growing concern.A significant proportion of COVID-19 patients experience persistent health issues even six to twelve months after recovering from acute infection[1],[2],[3],[4].Therefore,understanding the immune reconstitution process and identifying the molecular and cellular mechanisms underlying PASC is crucial.展开更多
Artificial sensory systems(ASS)are pivotal to next-generation extended reality technologies,now evolving into flexible platforms for comfortable wear and immersive user experiences,while ensuring high performance and ...Artificial sensory systems(ASS)are pivotal to next-generation extended reality technologies,now evolving into flexible platforms for comfortable wear and immersive user experiences,while ensuring high performance and operational reliability.To address these demands,metal-based nanoparticles(NPs),such as noble metal,oxide,and multi-elemental NPs,have been extensively incorporated into functional materials of sensory and synaptic devices due to their tunable optical,electrical,and chemical properties,enhancing sensory precision,stability,and environmental adaptability.However,traditional NP fabrication methods often involve complex processing,residual contaminants,and scalability issues,limiting their effectiveness in ASS applications.State-of-the-art laser ablation in liquids(LAL)presents a promising alternative,offering scalable production of surfactant-free NPs with customizable physicochemical properties,though their application in electronics remains underexplored.This review delves into the transformative potential of LAL-fabricated NPs in ASS,covering the fundamental mechanisms of LAL,the role of process parameters,the derivative strategies for size modulation,the diversity of metal-based NPs,their applications in sensory and synaptic devices,and the challenges and perspectives for meeting industrial standards.Bridging the gap between LAL and ASS is poised to revolutionize both industrial manufacturing and academic research by offering scalable solutions to overcome intrinsic tradeoffs between flexibility and performance,fostering innovations in human-centric,immersive electronics.展开更多
The objective of this ongoing joint research program is to determine how 3D/4D modeling, simulation and visualization of Products (buildings), Organizations and Processes (POP) can support lean construction. Initial f...The objective of this ongoing joint research program is to determine how 3D/4D modeling, simulation and visualization of Products (buildings), Organizations and Processes (POP) can support lean construction. Initial findings suggest that Process Design Pattern may have the potential to intuitively support ICT based lean construction. We initiated a 'Process Archeology' in order to reveal the requirements for tools that can support the planning, simulation and control of lean construction methods. First findings show that existing tools provide only limited support and therefore, we started to develop new methodologies and technologies to overcome these shortcomings. Through the introduction of Process Design Patterns, we intent to establish process thinking in the interdisciplinary POP design. Optimized construction processes may be synthesized with semi-automatic methods by applying Process Design Patterns on building structures. By providing process templates that integrate problem solution and expert knowledge, Process Design Patterns may have the potential to ensure high quality process models.展开更多
Beach groynes are structures for erosion protection along sandy coasts near inlets and can reduce the coastal erosion substantially,but open groynes cannot stop erosion completely because sand can be removed from the ...Beach groynes are structures for erosion protection along sandy coasts near inlets and can reduce the coastal erosion substantially,but open groynes cannot stop erosion completely because sand can be removed from the groyne compartments by cross-shore processes.Beach groynes should be designed with sufficient bypassing of sand to minimise erosion.Regular beach maintenance is required to keep a sufficient beach width for recreational purposes.The effectiveness of groyne compartments can be significantly improved by using T-head groynes or by using a submerged sill or breakwater in between the groynes.An economic evaluation shows that the beach maintenance costs over 50 years may be substantially higher than the construction costs of a submerged breakwater.An important parameter to be studied is the longshore transport,which requires detailed information of the wave climate,preferably based on measured data(offshore buoys)in combination with deep water wave modelling.Various models have been used to determine the net longshore sand transport and coastline changes.The design of groynes to reduce coastal erosion is illustrated by three field cases(Atlantic coast near Soulac,France;Lagos coast,Nigeria and Black Sea coast,Romania).These example cases show that beach groynes are effective structures,but sufficient bypassing of longshore sand transport is essential to minimise erosion.Regular beach fills in the groyne compartments may be required at high-energy(exposed)coasts.A submerged or emerged breakwater can be built between the groynes to protect the beach in the groyne compartments against erosion by cross-shore processes.展开更多
The paper is focused on the design of artificial sand beaches at sheltered and exposed sites.The methodology applied includes the study of the most essential design parameters and the application of numerical models t...The paper is focused on the design of artificial sand beaches at sheltered and exposed sites.The methodology applied includes the study of the most essential design parameters and the application of numerical models to compute the beach erosion and maintenance.The computed erosion volume decreases for coarser sand(0.5 mm sand instead of 0.3 mm).Beach erosion increases for more graded sand,but the effect is small(10%–15%).The slope of the artificial beach at sheltered sites is commonly between 1 to 15 and 1 to 30 in conditions with a micro tidal range and mild waves.Slopes between 1 to 30 and 1 to 50 are used for more open exposed sites.The effect of the upper and lower beach slope(1 to 15 or 1 to 20)on beach erosion is marginal for sand in the range of 0.3 to 0.5 mm.A break in slope is quickly adjusted by transport processes.The volume of beach sand required may be reduced by constructing a submerged sill at the toe of the beach.Analysis of costs shows that the construction costs including maintenance over a period of 50 years of a submerged sill are about the same as that of beach fill including maintenance.Hence,the beach fill volume can be twice as large for a solution without a sill.Beach erosion due to alongshore transport processes is minimum if the beach line of the planform is perpendicular to the main wave direction(equilibrium beach).展开更多
The explosive expansion of the Internet of Things(IoT)systems has increased the imperative to have strong and robust solutions to cyber Security,especially to curtail Distributed Denial of Service(DDoS)attacks,which c...The explosive expansion of the Internet of Things(IoT)systems has increased the imperative to have strong and robust solutions to cyber Security,especially to curtail Distributed Denial of Service(DDoS)attacks,which can cripple critical infrastructure.The proposed framework presented in the current paper is a new hybrid scheme that induces deep learning-based traffic classification and blockchain-enabledmitigation tomake intelligent,decentralized,and real-time DDoS countermeasures in an IoT network.The proposed model fuses the extracted deep features with statistical features and trains them by using traditional machine-learning algorithms,which makes them more accurate in detection than statistical features alone,based on the Convolutional Neural Network(CNN)architecture,which can extract deep features.A permissioned blockchain will be included to record the threat cases immutably and automatically execute mitigation measures through smart contracts to provide transparency and resilience.When tested on two test sets,BoT-IoT and IoT-23,the framework obtains a maximum F1-score at 97.5 percent and only a 1.8 percent false positive rate,which compares favorably to other solutions regarding effectiveness and the amount of time required to respond.Our findings support the feasibility of our method as an extensible and secure paradigm of nextgeneration IoT security,which has constrictive utility in mission-critical or resource-constrained settings.The work is a substantial milestone in autonomous and trustful mitigation against DDoS attacks through intelligent learning and decentralized enforcement.展开更多
Multi-label image classification is a challenging task due to the diverse sizes and complex backgrounds of objects in images.Obtaining class-specific precise representations at different scales is a key aspect of feat...Multi-label image classification is a challenging task due to the diverse sizes and complex backgrounds of objects in images.Obtaining class-specific precise representations at different scales is a key aspect of feature representation.However,existing methods often rely on the single-scale deep feature,neglecting shallow and deeper layer features,which poses challenges when predicting objects of varying scales within the same image.Although some studies have explored multi-scale features,they rarely address the flow of information between scales or efficiently obtain class-specific precise representations for features at different scales.To address these issues,we propose a two-stage,three-branch Transformer-based framework.The first stage incorporates multi-scale image feature extraction and hierarchical scale attention.This design enables the model to consider objects at various scales while enhancing the flow of information across different feature scales,improving the model’s generalization to diverse object scales.The second stage includes a global feature enhancement module and a region selection module.The global feature enhancement module strengthens interconnections between different image regions,mitigating the issue of incomplete represen-tations,while the region selection module models the cross-modal relationships between image features and labels.Together,these components enable the efficient acquisition of class-specific precise feature representations.Extensive experiments on public datasets,including COCO2014,VOC2007,and VOC2012,demonstrate the effectiveness of our proposed method.Our approach achieves consistent performance gains of 0.3%,0.4%,and 0.2%over state-of-the-art methods on the three datasets,respectively.These results validate the reliability and superiority of our approach for multi-label image classification.展开更多
By the year 2025 Rotterdam aims to have halved its CO_(2) emissions;an ambitious plan that will require a revolution-ary approach to urban areas.One proactive response to this challenge is an exploratory study of the ...By the year 2025 Rotterdam aims to have halved its CO_(2) emissions;an ambitious plan that will require a revolution-ary approach to urban areas.One proactive response to this challenge is an exploratory study of the Hart van Zuid area.An interdisciplinary team has investigated how to tackle CO_(2)-issues in a structured way.This has resulted in the Rotterdam Energy Approach and Planning(REAP)methodology.REAP supports initial demand for energy,propagates the use of waste streams and advocates use of renewable energy sources to satisfy the remaining demand.REAP can be applied at all levels:individual buildings,clusters of buildings and even whole neighbourhoods.Apply-ing REAP to the Hart van Zuid has shown that this existing area can become CO_(2) neutral.Best of all:REAP can be applied everywhere.展开更多
Sooty moulds are a remarkable,but poorly understood group of fungi.They coat fruits and leaves superficially with black mycelia,which reduces photosynthesis rates of host plants.Few researchers have,however,tried to q...Sooty moulds are a remarkable,but poorly understood group of fungi.They coat fruits and leaves superficially with black mycelia,which reduces photosynthesis rates of host plants.Few researchers have,however,tried to quantify their economic importance.Sooty moulds have been well-studied at the morphological level,but they are poorly represented in a natural classification based on phylogeny.Representatives are presently known in Antennulariellaceae,Capnodiaceae,Chaetothyriaceae,Coccodiniaceae,Euantennariaceae,Metacapnodiaceae and Trichomeriaceae and several miscellaneous genera.However,molecular data is available for only five families.Most sooty mould colonies comprise numerous species and thus it is hard to confirm relationships between genera or sexual and asexual states.Future studies need to obtain single spore isolates of species to test their phylogenetic affinities and linkages between morphs.Next generation sequencing has shown sooty mould colonies to contain many more fungal species than expected,but it is not clear which species are dominant or active in the communities.They are more common in tropical,subtropical and warm temperate regions and thus their prevalence in temperate regions is likely to increase with global warming.Sooty moulds are rarely parasitized by fungicolous taxa and these may have biocontrol potential.They apparently grow in extreme environments and may be xerophilic.This needs testing as xerophilic taxa may be of interest for industrial applications.Sooty moulds grow on sugars and appear to out-compete typical“weed”fungi and bacteria.They may produce antibiotics for this purpose and their biochemical potential for obtaining novel bioactive compounds for medical application is underexplored.展开更多
BACKGROUND Sport-induced injuries particularly affect young,healthy,and active individuals.Running,a popular and accessible sport,can cause a wide range of injuries,including stress fractures.Stress fractures can occu...BACKGROUND Sport-induced injuries particularly affect young,healthy,and active individuals.Running,a popular and accessible sport,can cause a wide range of injuries,including stress fractures.Stress fractures can occur during high-intensity training or competitions,especially among well-trained amateurs and professional athletes.Adequate diagnosis can be complicated by the typically young age,unremarkable medical history,and vital condition of the patient.Stress fractures present insidiously,and this is specifically the case with stress fractures of the femoral neck.Timely intervention is crucial to prevent progressive displacement,as this can damage the blood supply to the femoral head.CASE SUMMARY A 30-year-old male runner presented to our outpatient clinic with persistent pain 3 weeks after running a marathon.X-ray showed a complete lateral fracture of the left femoral neck,which was treated surgically with a dynamic hip screw.CONCLUSION It is essential for healthcare providers to be vigilant for the subtle symptoms of stress fractures to ensure timely treatment.Early recognition prevents com-plication and leads to a better prognosis.展开更多
文摘Objectives: Due to presence of extensively fascinating coral reef ecosystem in the continental shelf of Andaman and Nicobar Islands, people from all over the world visit these islands of India to indulge in recreational diving. An increased participation figure has also elevated the number of divers at risk for Decompression Sickness (DCS). Despite this, no scientific data are available on DCS incidents from India. Present study is aimed to evaluate the DCS incidents reported in these islands, treatment provided, and the outcome of the treatment. An attempt has also been made to calculate the approximate frequency of DCS in comparison to the participation figure. Methods: Study design is retrospective data analyses of a recompression chamber. Naval Diving Unit Port Blair has the only active decompression chamber available in the islands, and Govind Ballabh Pant Hospital Port Blair was used to collect information on DCS incidents that occurred during the mentioned period. Due to lack of authenticated generalized documents of divers’ health history and dive logs, the scanty information was gathered from the dive centres on the basis of personal interviews/communications among the SCUBA diving instructors. Results: A total of nine cases were reported during the span of last four and half years, and thus approximate frequency of DCS in Andamans was 0.2/10000 divers year. All of the patients recovered completely after receiving the Hyperbaric Oxygen Therapy (HBOT), with no residual symptoms. Conclusions: Incident rate of DCS in Andamans is lower than that in many other parts of the world;possible reason could be under-reporting of less severe DCS cases. During the study period, the number of DCS type II incidents presented for the treatment was higher than that of DCS type I incidents. HBOT proved a complete success in treating DCS cases in the island.
基金supported by the National Natural Science Foundation of China(81930063,82221004,T2225005,21927802,and 32022016)the Chinese Academy of Medical Sciences(CAMS)Innovation Fund for Medical Sciences(CIFMS)(2021-I2M-1-040,2020-I2M-CoV19-011,2021-I2M-1-038,and 2022-I2M-CoV19-005)+1 种基金the Nonprofit Central Research Institute Fund of the Chinese Academy of Medical Sciences(2019PT310029)the Fundamental Research Funds for the Central Universities(3332021092).
文摘The long-term consequences of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)infection,known as the post-acute sequelae of COVID-19(PASC),have been a growing concern.A significant proportion of COVID-19 patients experience persistent health issues even six to twelve months after recovering from acute infection[1],[2],[3],[4].Therefore,understanding the immune reconstitution process and identifying the molecular and cellular mechanisms underlying PASC is crucial.
基金supported by the Nano&Material Technology Development Program through the National Research Foundation of Korea(NRF)funded by the Ministry of Science and ICT(Grant Nos.RS-2024-00403639 and RS2024-00411904)。
文摘Artificial sensory systems(ASS)are pivotal to next-generation extended reality technologies,now evolving into flexible platforms for comfortable wear and immersive user experiences,while ensuring high performance and operational reliability.To address these demands,metal-based nanoparticles(NPs),such as noble metal,oxide,and multi-elemental NPs,have been extensively incorporated into functional materials of sensory and synaptic devices due to their tunable optical,electrical,and chemical properties,enhancing sensory precision,stability,and environmental adaptability.However,traditional NP fabrication methods often involve complex processing,residual contaminants,and scalability issues,limiting their effectiveness in ASS applications.State-of-the-art laser ablation in liquids(LAL)presents a promising alternative,offering scalable production of surfactant-free NPs with customizable physicochemical properties,though their application in electronics remains underexplored.This review delves into the transformative potential of LAL-fabricated NPs in ASS,covering the fundamental mechanisms of LAL,the role of process parameters,the derivative strategies for size modulation,the diversity of metal-based NPs,their applications in sensory and synaptic devices,and the challenges and perspectives for meeting industrial standards.Bridging the gap between LAL and ASS is poised to revolutionize both industrial manufacturing and academic research by offering scalable solutions to overcome intrinsic tradeoffs between flexibility and performance,fostering innovations in human-centric,immersive electronics.
文摘The objective of this ongoing joint research program is to determine how 3D/4D modeling, simulation and visualization of Products (buildings), Organizations and Processes (POP) can support lean construction. Initial findings suggest that Process Design Pattern may have the potential to intuitively support ICT based lean construction. We initiated a 'Process Archeology' in order to reveal the requirements for tools that can support the planning, simulation and control of lean construction methods. First findings show that existing tools provide only limited support and therefore, we started to develop new methodologies and technologies to overcome these shortcomings. Through the introduction of Process Design Patterns, we intent to establish process thinking in the interdisciplinary POP design. Optimized construction processes may be synthesized with semi-automatic methods by applying Process Design Patterns on building structures. By providing process templates that integrate problem solution and expert knowledge, Process Design Patterns may have the potential to ensure high quality process models.
文摘Beach groynes are structures for erosion protection along sandy coasts near inlets and can reduce the coastal erosion substantially,but open groynes cannot stop erosion completely because sand can be removed from the groyne compartments by cross-shore processes.Beach groynes should be designed with sufficient bypassing of sand to minimise erosion.Regular beach maintenance is required to keep a sufficient beach width for recreational purposes.The effectiveness of groyne compartments can be significantly improved by using T-head groynes or by using a submerged sill or breakwater in between the groynes.An economic evaluation shows that the beach maintenance costs over 50 years may be substantially higher than the construction costs of a submerged breakwater.An important parameter to be studied is the longshore transport,which requires detailed information of the wave climate,preferably based on measured data(offshore buoys)in combination with deep water wave modelling.Various models have been used to determine the net longshore sand transport and coastline changes.The design of groynes to reduce coastal erosion is illustrated by three field cases(Atlantic coast near Soulac,France;Lagos coast,Nigeria and Black Sea coast,Romania).These example cases show that beach groynes are effective structures,but sufficient bypassing of longshore sand transport is essential to minimise erosion.Regular beach fills in the groyne compartments may be required at high-energy(exposed)coasts.A submerged or emerged breakwater can be built between the groynes to protect the beach in the groyne compartments against erosion by cross-shore processes.
文摘The paper is focused on the design of artificial sand beaches at sheltered and exposed sites.The methodology applied includes the study of the most essential design parameters and the application of numerical models to compute the beach erosion and maintenance.The computed erosion volume decreases for coarser sand(0.5 mm sand instead of 0.3 mm).Beach erosion increases for more graded sand,but the effect is small(10%–15%).The slope of the artificial beach at sheltered sites is commonly between 1 to 15 and 1 to 30 in conditions with a micro tidal range and mild waves.Slopes between 1 to 30 and 1 to 50 are used for more open exposed sites.The effect of the upper and lower beach slope(1 to 15 or 1 to 20)on beach erosion is marginal for sand in the range of 0.3 to 0.5 mm.A break in slope is quickly adjusted by transport processes.The volume of beach sand required may be reduced by constructing a submerged sill at the toe of the beach.Analysis of costs shows that the construction costs including maintenance over a period of 50 years of a submerged sill are about the same as that of beach fill including maintenance.Hence,the beach fill volume can be twice as large for a solution without a sill.Beach erosion due to alongshore transport processes is minimum if the beach line of the planform is perpendicular to the main wave direction(equilibrium beach).
文摘The explosive expansion of the Internet of Things(IoT)systems has increased the imperative to have strong and robust solutions to cyber Security,especially to curtail Distributed Denial of Service(DDoS)attacks,which can cripple critical infrastructure.The proposed framework presented in the current paper is a new hybrid scheme that induces deep learning-based traffic classification and blockchain-enabledmitigation tomake intelligent,decentralized,and real-time DDoS countermeasures in an IoT network.The proposed model fuses the extracted deep features with statistical features and trains them by using traditional machine-learning algorithms,which makes them more accurate in detection than statistical features alone,based on the Convolutional Neural Network(CNN)architecture,which can extract deep features.A permissioned blockchain will be included to record the threat cases immutably and automatically execute mitigation measures through smart contracts to provide transparency and resilience.When tested on two test sets,BoT-IoT and IoT-23,the framework obtains a maximum F1-score at 97.5 percent and only a 1.8 percent false positive rate,which compares favorably to other solutions regarding effectiveness and the amount of time required to respond.Our findings support the feasibility of our method as an extensible and secure paradigm of nextgeneration IoT security,which has constrictive utility in mission-critical or resource-constrained settings.The work is a substantial milestone in autonomous and trustful mitigation against DDoS attacks through intelligent learning and decentralized enforcement.
基金supported by the National Natural Science Foundation of China(62302167,62477013)Natural Science Foundation of Shanghai(No.24ZR1456100)+1 种基金Science and Technology Commission of Shanghai Municipality(No.24DZ2305900)the Shanghai Municipal Special Fund for Promoting High-Quality Development of Industries(2211106).
文摘Multi-label image classification is a challenging task due to the diverse sizes and complex backgrounds of objects in images.Obtaining class-specific precise representations at different scales is a key aspect of feature representation.However,existing methods often rely on the single-scale deep feature,neglecting shallow and deeper layer features,which poses challenges when predicting objects of varying scales within the same image.Although some studies have explored multi-scale features,they rarely address the flow of information between scales or efficiently obtain class-specific precise representations for features at different scales.To address these issues,we propose a two-stage,three-branch Transformer-based framework.The first stage incorporates multi-scale image feature extraction and hierarchical scale attention.This design enables the model to consider objects at various scales while enhancing the flow of information across different feature scales,improving the model’s generalization to diverse object scales.The second stage includes a global feature enhancement module and a region selection module.The global feature enhancement module strengthens interconnections between different image regions,mitigating the issue of incomplete represen-tations,while the region selection module models the cross-modal relationships between image features and labels.Together,these components enable the efficient acquisition of class-specific precise feature representations.Extensive experiments on public datasets,including COCO2014,VOC2007,and VOC2012,demonstrate the effectiveness of our proposed method.Our approach achieves consistent performance gains of 0.3%,0.4%,and 0.2%over state-of-the-art methods on the three datasets,respectively.These results validate the reliability and superiority of our approach for multi-label image classification.
文摘By the year 2025 Rotterdam aims to have halved its CO_(2) emissions;an ambitious plan that will require a revolution-ary approach to urban areas.One proactive response to this challenge is an exploratory study of the Hart van Zuid area.An interdisciplinary team has investigated how to tackle CO_(2)-issues in a structured way.This has resulted in the Rotterdam Energy Approach and Planning(REAP)methodology.REAP supports initial demand for energy,propagates the use of waste streams and advocates use of renewable energy sources to satisfy the remaining demand.REAP can be applied at all levels:individual buildings,clusters of buildings and even whole neighbourhoods.Apply-ing REAP to the Hart van Zuid has shown that this existing area can become CO_(2) neutral.Best of all:REAP can be applied everywhere.
基金This work was carried out using a grant to the first author by the Office of the Higher Education Commission of Thailand.
文摘Sooty moulds are a remarkable,but poorly understood group of fungi.They coat fruits and leaves superficially with black mycelia,which reduces photosynthesis rates of host plants.Few researchers have,however,tried to quantify their economic importance.Sooty moulds have been well-studied at the morphological level,but they are poorly represented in a natural classification based on phylogeny.Representatives are presently known in Antennulariellaceae,Capnodiaceae,Chaetothyriaceae,Coccodiniaceae,Euantennariaceae,Metacapnodiaceae and Trichomeriaceae and several miscellaneous genera.However,molecular data is available for only five families.Most sooty mould colonies comprise numerous species and thus it is hard to confirm relationships between genera or sexual and asexual states.Future studies need to obtain single spore isolates of species to test their phylogenetic affinities and linkages between morphs.Next generation sequencing has shown sooty mould colonies to contain many more fungal species than expected,but it is not clear which species are dominant or active in the communities.They are more common in tropical,subtropical and warm temperate regions and thus their prevalence in temperate regions is likely to increase with global warming.Sooty moulds are rarely parasitized by fungicolous taxa and these may have biocontrol potential.They apparently grow in extreme environments and may be xerophilic.This needs testing as xerophilic taxa may be of interest for industrial applications.Sooty moulds grow on sugars and appear to out-compete typical“weed”fungi and bacteria.They may produce antibiotics for this purpose and their biochemical potential for obtaining novel bioactive compounds for medical application is underexplored.
文摘BACKGROUND Sport-induced injuries particularly affect young,healthy,and active individuals.Running,a popular and accessible sport,can cause a wide range of injuries,including stress fractures.Stress fractures can occur during high-intensity training or competitions,especially among well-trained amateurs and professional athletes.Adequate diagnosis can be complicated by the typically young age,unremarkable medical history,and vital condition of the patient.Stress fractures present insidiously,and this is specifically the case with stress fractures of the femoral neck.Timely intervention is crucial to prevent progressive displacement,as this can damage the blood supply to the femoral head.CASE SUMMARY A 30-year-old male runner presented to our outpatient clinic with persistent pain 3 weeks after running a marathon.X-ray showed a complete lateral fracture of the left femoral neck,which was treated surgically with a dynamic hip screw.CONCLUSION It is essential for healthcare providers to be vigilant for the subtle symptoms of stress fractures to ensure timely treatment.Early recognition prevents com-plication and leads to a better prognosis.
