Code smell detection is essential to improve software quality, enhancing software maintainability, and decrease the risk of faults and failures in the software system. In this paper, we proposed a code smell predictio...Code smell detection is essential to improve software quality, enhancing software maintainability, and decrease the risk of faults and failures in the software system. In this paper, we proposed a code smell prediction approach based on machine learning techniques and software metrics. The local interpretable model-agnostic explanations (LIME) algorithm was further used to explain the machine learning model's predictions and interpretability. The datasets obtained from Fontana et al. were reformed and used to build binary-label and multi-label datasets. The results of 10-fold cross-validation show that the performance of tree-based algorithms (mainly Random Forest) is higher compared with kernel-based and network-based algorithms. The genetic algorithm based feature selection methods enhance the accuracy of these machine learning algorithms by selecting the most relevant features in each dataset. Moreover, the parameter optimization techniques based on the grid search algorithm significantly enhance the accuracy of all these algorithms. Finally, machine learning techniques have high potential in predicting the code smells, which contribute to detect these smells and enhance the software's quality.展开更多
[Objectives]This study was conducted to investigate the application of Sargassum fusiforme(Harv.)Setch.in cigarettes.[Methods]Tobacco-specific nitrosamines in the smoke of cigarettes added with ethanol extract of S.fu...[Objectives]This study was conducted to investigate the application of Sargassum fusiforme(Harv.)Setch.in cigarettes.[Methods]Tobacco-specific nitrosamines in the smoke of cigarettes added with ethanol extract of S.fusiforme were determined,and the compounds related to the aroma of S.fusiforme were identified by flavor-smelling experiment.[Results]With the addition of the ethanol extract of S.fusiforme,the decrease in the total amount of four tobacco-specific nitrosamines in mainstream cigarette smoke reached 16.42%.The results of the flavor-smelling experiment showed that the aroma of S.fusiforme might be related to(R)-5,6,7,7A-tetrahydro-4,4,7A-trimethyl-2(4H)-benzofuranone,glycerol,ethyl palmitate,methyl palmitate,ethyl linoleate,methyl(Z,Z,Z)-9,12,15-octadecatrienoate,ethyl(Z,Z,Z)-9,12,15-octadecatrienoate,phytol,and tetradecanoic acid.[Conclusions]The ethanol extract of S.fusiforme has the potential function of reducing the content of tobacco-specific nitrosamines in smoke and improving the taste of cigarettes.展开更多
The fattening pig house with fermentation bed had an area of 2 100 m2, and the area of fermentation bed was 1 900 m2 with a utilization rate of 91.4%, which was 45% higher than that of conventional pig house with surr...The fattening pig house with fermentation bed had an area of 2 100 m2, and the area of fermentation bed was 1 900 m2 with a utilization rate of 91.4%, which was 45% higher than that of conventional pig house with surrounding barrier. There was feeding trough around the house. The water troughs were set in the middle of the fermentation bed and of the feeding trough on the short sides of the house, separating feed and water. There were electric aluminum alloy shutters in both long sides of the house for ventilation, cooling and heat preservation. On both short sides, there were fans and wet curtains. The spray cooling devices were in- stalled outside the roof for cooling. The environmental control in the piggery, includ- ing light, temperature, water, humidity, carbon dioxide and ammonia, was realized to run by computer automatically. The coconut chaff and chaff configuration were used as mattress material, realizing the advantages of fermentation bed, such as no smell, zero emission, high-quality meat, saving labor, controlling disease, no drug residue, producing fertilizer, intelligent control, mechanized operation, etc.展开更多
Emotion carries crucial qualities of the human condition,representing one of the major challenges in artificial intelligence.Research in psychology and neuroscience in the past two to three decades has generated rich ...Emotion carries crucial qualities of the human condition,representing one of the major challenges in artificial intelligence.Research in psychology and neuroscience in the past two to three decades has generated rich insights into the processes underlying human emotion.Cognition and emotion represent the two main pillars of the human psyche and human intelligence.While the human cognitive system and cognitive brain has inspired and informed computer science and artificial intelligence,the future is ripe for the human emotion system to be integrated into artificial intelligence and robotic systems.Here,we review behavioral and neural findings in human emotion perception,including facial emotion perception,olfactory emotion perception,multimodal emotion perception,and the time course of emotion perception.It is our hope that knowledge of how humans perceive emotion will help bring artificial intelligence strides closer to human intelligence.展开更多
Last December 2019,a cluster of viral pneumonia cases identified as coronavirus disease 2019(COVID-19)was reported in Wuhan,China.We aimed to explore the frequencies of nasal symptoms in patients with COVID-19,includi...Last December 2019,a cluster of viral pneumonia cases identified as coronavirus disease 2019(COVID-19)was reported in Wuhan,China.We aimed to explore the frequencies of nasal symptoms in patients with COVID-19,including loss of smell and taste,as well as their presentation as the first symptom of the disease and their association with the severity of COVID-19.In this retrospective study,1206 laboratory-confirmed COVID-19 patients were included and followed up by telephone one month after discharged from Tongji Hospital,Wuhan.Demographic data,laboratory values,comorbidities,symptoms,and numerical rating scale scores(0–10)of nasal symptoms were extracted from the hospital medical records,and confirmed or reevaluated by the telephone follow-up.From patients(n=1172)completing follow-up,199(17%)subjects had severe COVID-19 and 342(29.2%)reported nasal symptoms.20.6%COVID-19 patients had loss of taste(median score=6),while 11.4%had loss of smell(median score=5).Loss of taste scores,but not loss of smell scores,were significantly increased in severe vs.nonsevere COVID-19 patients.Interleukin(IL)-6 and lactose dehydrogenase(LDH)serum levels were positively correlated with loss of taste scores.About 80%of COVID-19 patients recovered from smell and taste dysfunction in 2 weeks.In this cohort,only 1 out of 10 hospital admitted patients had loss of smell while 1 out of 5 reported loss of taste which was associated to severity of COVID-19.Most patients recovered smell and taste dysfunctions in 2 weeks.展开更多
The olfactory system is one of a few areas in the nervous system which is capable of regeneration throughout the life.Olfactory sensory neurons reside in the nasal cavity are continuously replenished with new neurons ...The olfactory system is one of a few areas in the nervous system which is capable of regeneration throughout the life.Olfactory sensory neurons reside in the nasal cavity are continuously replenished with new neurons arising from stem cells.Some factors such as aging,neurodegenerative diseases,head trauma,brain tumor extraction and infection cause olfactory dysfunction which significantly influences physical wellbeing,quality of life,mental health,nutritional status,memory processes,identifying danger and is associated with increased mortality.Therefore,finding a treatment to improve olfactory dysfunction is needed.Recent research efforts in the field have shown some very promising new approaches to treat olfactory dysfunction.This review explores the current studies that have addressed therapeutic approaches to improve olfactory neuron regeneration based on cell transplantation therapy,modulation of physiological olfactory dysfunction and drug treatments.展开更多
Human Action Recognition(HAR)in uncontrolled environments targets to recognition of different actions froma video.An effective HAR model can be employed for an application like human-computer interaction,health care,p...Human Action Recognition(HAR)in uncontrolled environments targets to recognition of different actions froma video.An effective HAR model can be employed for an application like human-computer interaction,health care,person tracking,and video surveillance.Machine Learning(ML)approaches,specifically,Convolutional Neural Network(CNN)models had beenwidely used and achieved impressive results through feature fusion.The accuracy and effectiveness of these models continue to be the biggest challenge in this field.In this article,a novel feature optimization algorithm,called improved Shark Smell Optimization(iSSO)is proposed to reduce the redundancy of extracted features.This proposed technique is inspired by the behavior ofwhite sharks,and howthey find the best prey in thewhole search space.The proposed iSSOalgorithmdivides the FeatureVector(FV)into subparts,where a search is conducted to find optimal local features fromeach subpart of FV.Once local optimal features are selected,a global search is conducted to further optimize these features.The proposed iSSO algorithm is employed on nine(9)selected CNN models.These CNN models are selected based on their top-1 and top-5 accuracy in ImageNet competition.To evaluate the model,two publicly available datasets UCF-Sports and Hollywood2 are selected.展开更多
rather 一词含义及用法较多,现把常用的用法及结构分别总结如下:一、rather1.修饰动词时意为“倒是”、“(在某种程度上)有点”。I rather think everything is going to come out allright.我倒是认为一切事情最后会圆满解决的。I rath...rather 一词含义及用法较多,现把常用的用法及结构分别总结如下:一、rather1.修饰动词时意为“倒是”、“(在某种程度上)有点”。I rather think everything is going to come out allright.我倒是认为一切事情最后会圆满解决的。I rather like the smell of petrol.展开更多
英语教学中常会面对是否需要翻译的选择,从理论上说,我们会选择不翻译或少翻译,但在实践中我们很容易倾向于要翻译并多翻译。一、课堂教学回顾在一堂九年级的英语课上,我的学生们遇到了这样一道选择题:---The electric fan can___blow a...英语教学中常会面对是否需要翻译的选择,从理论上说,我们会选择不翻译或少翻译,但在实践中我们很容易倾向于要翻译并多翻译。一、课堂教学回顾在一堂九年级的英语课上,我的学生们遇到了这样一道选择题:---The electric fan can___blow away the terrible smell in the room,can it?展开更多
Background:Olfactory dysfunction(OD)is a common symptom of Corona Virus Disease 2019(COVID-19).It is defined as the reduced or distorted ability to smell during sniffing(orthonasal olfaction)and represents one of the ...Background:Olfactory dysfunction(OD)is a common symptom of Corona Virus Disease 2019(COVID-19).It is defined as the reduced or distorted ability to smell during sniffing(orthonasal olfaction)and represents one of the early symptoms in the clinical course of COVID-19 infection.A large online questionnaire-based survey has shown that some post-COVID-19 patients had no improvement 1 month after discharge from the hospital.Objective:To explore the efficacy of acupuncture for OD in COVID-19 infected patients and to determine whether acupuncture could have benefits over sham acupuncture for OD in post-COVID-19 patients.Methods:This is a single-blind,randomized controlled,cross-over trial.We plan to recruit 40 post-COVID-19 patients with smell loss or smell distortions lasting for more than 1 month.Qualified patients will be randomly allocated to the intervention group(real acupuncture)or the control group(sham acupuncture)at a 1:1 ratio.Each patient will receive 8 sessions of treatment over 4 weeks(Cycle 1)and a 2-week follow-up.After the follow-up,the control group will be subjected to real acupuncture for another 4 weeks(Cycle 2),and the real acupuncture group will undergo the 4-week sham acupuncture.The primary outcomes will be the score changes on the questionnaire of olfactory functioning and olfaction-related quality of life at week 6,8,12,and 14 from the baseline.The secondary outcomes will be the changes in the olfactory test score at week 6 and 12 from the baseline measured by using the Traditional Chinese version of the University of Pennsylvania Smell Identification Test(UPSIT-TC).Discussion:The results of this trial will help to determine the effectiveness of acupuncture for OD in post-COVID-19 patients.This may provide a new treatment option for patients.展开更多
There was half a mu of unoccupied land behind our house.Mother said,“It wouldbe such a pity to let it lie waste.As you are fond of peanuts,we’ll make a garden ofit to grow them.”All of us and the little girls were ...There was half a mu of unoccupied land behind our house.Mother said,“It wouldbe such a pity to let it lie waste.As you are fond of peanuts,we’ll make a garden ofit to grow them.”All of us and the little girls were excited with joy.Some boughtpeanut seeds,while the others set about digging the soil or watering it.And within afew months we had a harvest!展开更多
Odors that induce psychological orbehavioral changes in the same species——fright in a catfish^2,sexual arousal in abull—are called pheromones^3.And nowheredo such odors have more profound aneffect than among the be...Odors that induce psychological orbehavioral changes in the same species——fright in a catfish^2,sexual arousal in abull—are called pheromones^3.And nowheredo such odors have more profound aneffect than among the bees,wasps,ants,and termites^4:Pheromones are the chemicalmessages that these insects use to organizetheir complex societies.The queen honeybee preserves hermonarchy^5 by exuding^6 an odor thatnhibits worker bees from laying eggs展开更多
Patients presenting with gastro-intestinal symptoms might suffer from a range of possible underlying diseases. An unmet need exists for novel cost-effective,reproducible, easy-to-perform and non-invasive tests. Hippoc...Patients presenting with gastro-intestinal symptoms might suffer from a range of possible underlying diseases. An unmet need exists for novel cost-effective,reproducible, easy-to-perform and non-invasive tests. Hippocrates used body odours to diagnose diseases circa 460 before Christ. The art of diagnostic smelling is making a promising high-tech come-back with portable "electronic diagnostic noses". Analysis of faecal volatile organic compounds is a novel field in metabolomics with considerable potential to improve the diagnosis, phenotyping and monitoring of gastro-intestinal disease. Challenges will be to mature over the coming years by development of a standardized methodology for stool sample collection, storage, handling and analysis. Furthermore, key volatiles need to be identified to improve test accuracy and sensitivity by development of sensors tailored toward the accurate identification of disease specific volatiles. If these challenges are adequately faced, analysis of faecal volatiles has realistic potential to considerably improve screening, diagnosis and disease monitoring for gastro-intestinal diseases.展开更多
The chemical composition of unpleasant smell, emitted from the production process of wood-plastic composites using Manchurian ash sawdust (Fraxinus mandschurica Rupr.) and polypropylene powder as the raw material, w...The chemical composition of unpleasant smell, emitted from the production process of wood-plastic composites using Manchurian ash sawdust (Fraxinus mandschurica Rupr.) and polypropylene powder as the raw material, was investigated. Wood sawdust and polypropylene powder were subjected to heat treatment to 290℃ during 8 min (the conditions were similar to those employed on an industrial scale). The emitted compounds were collected and analyzed by gas chromatography-mass spectrometry (GC-MS). The analytical results showed that the unpleasant smell was emitted from the pyrogenation of wood sawdust rather than from the polypropylene powder. Nine types of compounds (hydrocarbons, ethers, phenols, aldehydes, ketones, alcohols, acids and their derivatives, furan and its derivatives, and nitrogen-containing compounds) were collected in the gas phase during heating. Among those 126 components detected by GC-MS, 112 compounds were identified.展开更多
文摘Code smell detection is essential to improve software quality, enhancing software maintainability, and decrease the risk of faults and failures in the software system. In this paper, we proposed a code smell prediction approach based on machine learning techniques and software metrics. The local interpretable model-agnostic explanations (LIME) algorithm was further used to explain the machine learning model's predictions and interpretability. The datasets obtained from Fontana et al. were reformed and used to build binary-label and multi-label datasets. The results of 10-fold cross-validation show that the performance of tree-based algorithms (mainly Random Forest) is higher compared with kernel-based and network-based algorithms. The genetic algorithm based feature selection methods enhance the accuracy of these machine learning algorithms by selecting the most relevant features in each dataset. Moreover, the parameter optimization techniques based on the grid search algorithm significantly enhance the accuracy of all these algorithms. Finally, machine learning techniques have high potential in predicting the code smells, which contribute to detect these smells and enhance the software's quality.
文摘[Objectives]This study was conducted to investigate the application of Sargassum fusiforme(Harv.)Setch.in cigarettes.[Methods]Tobacco-specific nitrosamines in the smoke of cigarettes added with ethanol extract of S.fusiforme were determined,and the compounds related to the aroma of S.fusiforme were identified by flavor-smelling experiment.[Results]With the addition of the ethanol extract of S.fusiforme,the decrease in the total amount of four tobacco-specific nitrosamines in mainstream cigarette smoke reached 16.42%.The results of the flavor-smelling experiment showed that the aroma of S.fusiforme might be related to(R)-5,6,7,7A-tetrahydro-4,4,7A-trimethyl-2(4H)-benzofuranone,glycerol,ethyl palmitate,methyl palmitate,ethyl linoleate,methyl(Z,Z,Z)-9,12,15-octadecatrienoate,ethyl(Z,Z,Z)-9,12,15-octadecatrienoate,phytol,and tetradecanoic acid.[Conclusions]The ethanol extract of S.fusiforme has the potential function of reducing the content of tobacco-specific nitrosamines in smoke and improving the taste of cigarettes.
基金Supported by Chinese Ministry of Science and Technology(2012DFA31120)Natural Science Foundation of China(NSFC)(31370059)+2 种基金948 Project of Chinese Ministry of Agriculture(2011-G25)973 Program Earlier Research Project(2011CB111607)Project of Agriculture Science and Technology Achievement Transformation(2010GB2C400220)~~
文摘The fattening pig house with fermentation bed had an area of 2 100 m2, and the area of fermentation bed was 1 900 m2 with a utilization rate of 91.4%, which was 45% higher than that of conventional pig house with surrounding barrier. There was feeding trough around the house. The water troughs were set in the middle of the fermentation bed and of the feeding trough on the short sides of the house, separating feed and water. There were electric aluminum alloy shutters in both long sides of the house for ventilation, cooling and heat preservation. On both short sides, there were fans and wet curtains. The spray cooling devices were in- stalled outside the roof for cooling. The environmental control in the piggery, includ- ing light, temperature, water, humidity, carbon dioxide and ammonia, was realized to run by computer automatically. The coconut chaff and chaff configuration were used as mattress material, realizing the advantages of fermentation bed, such as no smell, zero emission, high-quality meat, saving labor, controlling disease, no drug residue, producing fertilizer, intelligent control, mechanized operation, etc.
文摘Emotion carries crucial qualities of the human condition,representing one of the major challenges in artificial intelligence.Research in psychology and neuroscience in the past two to three decades has generated rich insights into the processes underlying human emotion.Cognition and emotion represent the two main pillars of the human psyche and human intelligence.While the human cognitive system and cognitive brain has inspired and informed computer science and artificial intelligence,the future is ripe for the human emotion system to be integrated into artificial intelligence and robotic systems.Here,we review behavioral and neural findings in human emotion perception,including facial emotion perception,olfactory emotion perception,multimodal emotion perception,and the time course of emotion perception.It is our hope that knowledge of how humans perceive emotion will help bring artificial intelligence strides closer to human intelligence.
基金the Natural Science Foundation of Hubei Province of China(No.2018CFB602)National Key R&D Program of China(No.2018YFC0116800)National Natural Science Foundation of China(Nos:81630024,81920108011,and 81900925)。
文摘Last December 2019,a cluster of viral pneumonia cases identified as coronavirus disease 2019(COVID-19)was reported in Wuhan,China.We aimed to explore the frequencies of nasal symptoms in patients with COVID-19,including loss of smell and taste,as well as their presentation as the first symptom of the disease and their association with the severity of COVID-19.In this retrospective study,1206 laboratory-confirmed COVID-19 patients were included and followed up by telephone one month after discharged from Tongji Hospital,Wuhan.Demographic data,laboratory values,comorbidities,symptoms,and numerical rating scale scores(0–10)of nasal symptoms were extracted from the hospital medical records,and confirmed or reevaluated by the telephone follow-up.From patients(n=1172)completing follow-up,199(17%)subjects had severe COVID-19 and 342(29.2%)reported nasal symptoms.20.6%COVID-19 patients had loss of taste(median score=6),while 11.4%had loss of smell(median score=5).Loss of taste scores,but not loss of smell scores,were significantly increased in severe vs.nonsevere COVID-19 patients.Interleukin(IL)-6 and lactose dehydrogenase(LDH)serum levels were positively correlated with loss of taste scores.About 80%of COVID-19 patients recovered from smell and taste dysfunction in 2 weeks.In this cohort,only 1 out of 10 hospital admitted patients had loss of smell while 1 out of 5 reported loss of taste which was associated to severity of COVID-19.Most patients recovered smell and taste dysfunctions in 2 weeks.
基金supported by a grant from the Perry Cross Spinal Research Foundation to FC,JASTby Queensland University of Technology to FC
文摘The olfactory system is one of a few areas in the nervous system which is capable of regeneration throughout the life.Olfactory sensory neurons reside in the nasal cavity are continuously replenished with new neurons arising from stem cells.Some factors such as aging,neurodegenerative diseases,head trauma,brain tumor extraction and infection cause olfactory dysfunction which significantly influences physical wellbeing,quality of life,mental health,nutritional status,memory processes,identifying danger and is associated with increased mortality.Therefore,finding a treatment to improve olfactory dysfunction is needed.Recent research efforts in the field have shown some very promising new approaches to treat olfactory dysfunction.This review explores the current studies that have addressed therapeutic approaches to improve olfactory neuron regeneration based on cell transplantation therapy,modulation of physiological olfactory dysfunction and drug treatments.
基金supported by the Collabo R&D between Industry,Academy,and Research Institute(S3250534)funded by the Ministry of SMEs and Startups(MSS,Korea)the National Research Foundation of Korea(NRF)grant funded by the Korea government(MSIT)(No.RS-2023-00218176)the Soonchunhyang University Research Fund.
文摘Human Action Recognition(HAR)in uncontrolled environments targets to recognition of different actions froma video.An effective HAR model can be employed for an application like human-computer interaction,health care,person tracking,and video surveillance.Machine Learning(ML)approaches,specifically,Convolutional Neural Network(CNN)models had beenwidely used and achieved impressive results through feature fusion.The accuracy and effectiveness of these models continue to be the biggest challenge in this field.In this article,a novel feature optimization algorithm,called improved Shark Smell Optimization(iSSO)is proposed to reduce the redundancy of extracted features.This proposed technique is inspired by the behavior ofwhite sharks,and howthey find the best prey in thewhole search space.The proposed iSSOalgorithmdivides the FeatureVector(FV)into subparts,where a search is conducted to find optimal local features fromeach subpart of FV.Once local optimal features are selected,a global search is conducted to further optimize these features.The proposed iSSO algorithm is employed on nine(9)selected CNN models.These CNN models are selected based on their top-1 and top-5 accuracy in ImageNet competition.To evaluate the model,two publicly available datasets UCF-Sports and Hollywood2 are selected.
文摘rather 一词含义及用法较多,现把常用的用法及结构分别总结如下:一、rather1.修饰动词时意为“倒是”、“(在某种程度上)有点”。I rather think everything is going to come out allright.我倒是认为一切事情最后会圆满解决的。I rather like the smell of petrol.
文摘英语教学中常会面对是否需要翻译的选择,从理论上说,我们会选择不翻译或少翻译,但在实践中我们很容易倾向于要翻译并多翻译。一、课堂教学回顾在一堂九年级的英语课上,我的学生们遇到了这样一道选择题:---The electric fan can___blow away the terrible smell in the room,can it?
基金jointly-supported by Hong Kong Baptist University(SCM-2020-001)Haven of Hope-The Chinese University of Hong Kong Chinese Medicine Clinic cum Training and Research Centre(Sai Kung District)Tseung Kwan O Hospital of Hospital Authority,Hong Kong,China,on expenses and equipment.
文摘Background:Olfactory dysfunction(OD)is a common symptom of Corona Virus Disease 2019(COVID-19).It is defined as the reduced or distorted ability to smell during sniffing(orthonasal olfaction)and represents one of the early symptoms in the clinical course of COVID-19 infection.A large online questionnaire-based survey has shown that some post-COVID-19 patients had no improvement 1 month after discharge from the hospital.Objective:To explore the efficacy of acupuncture for OD in COVID-19 infected patients and to determine whether acupuncture could have benefits over sham acupuncture for OD in post-COVID-19 patients.Methods:This is a single-blind,randomized controlled,cross-over trial.We plan to recruit 40 post-COVID-19 patients with smell loss or smell distortions lasting for more than 1 month.Qualified patients will be randomly allocated to the intervention group(real acupuncture)or the control group(sham acupuncture)at a 1:1 ratio.Each patient will receive 8 sessions of treatment over 4 weeks(Cycle 1)and a 2-week follow-up.After the follow-up,the control group will be subjected to real acupuncture for another 4 weeks(Cycle 2),and the real acupuncture group will undergo the 4-week sham acupuncture.The primary outcomes will be the score changes on the questionnaire of olfactory functioning and olfaction-related quality of life at week 6,8,12,and 14 from the baseline.The secondary outcomes will be the changes in the olfactory test score at week 6 and 12 from the baseline measured by using the Traditional Chinese version of the University of Pennsylvania Smell Identification Test(UPSIT-TC).Discussion:The results of this trial will help to determine the effectiveness of acupuncture for OD in post-COVID-19 patients.This may provide a new treatment option for patients.
文摘There was half a mu of unoccupied land behind our house.Mother said,“It wouldbe such a pity to let it lie waste.As you are fond of peanuts,we’ll make a garden ofit to grow them.”All of us and the little girls were excited with joy.Some boughtpeanut seeds,while the others set about digging the soil or watering it.And within afew months we had a harvest!
文摘Odors that induce psychological orbehavioral changes in the same species——fright in a catfish^2,sexual arousal in abull—are called pheromones^3.And nowheredo such odors have more profound aneffect than among the bees,wasps,ants,and termites^4:Pheromones are the chemicalmessages that these insects use to organizetheir complex societies.The queen honeybee preserves hermonarchy^5 by exuding^6 an odor thatnhibits worker bees from laying eggs
文摘Patients presenting with gastro-intestinal symptoms might suffer from a range of possible underlying diseases. An unmet need exists for novel cost-effective,reproducible, easy-to-perform and non-invasive tests. Hippocrates used body odours to diagnose diseases circa 460 before Christ. The art of diagnostic smelling is making a promising high-tech come-back with portable "electronic diagnostic noses". Analysis of faecal volatile organic compounds is a novel field in metabolomics with considerable potential to improve the diagnosis, phenotyping and monitoring of gastro-intestinal disease. Challenges will be to mature over the coming years by development of a standardized methodology for stool sample collection, storage, handling and analysis. Furthermore, key volatiles need to be identified to improve test accuracy and sensitivity by development of sensors tailored toward the accurate identification of disease specific volatiles. If these challenges are adequately faced, analysis of faecal volatiles has realistic potential to considerably improve screening, diagnosis and disease monitoring for gastro-intestinal diseases.
文摘The chemical composition of unpleasant smell, emitted from the production process of wood-plastic composites using Manchurian ash sawdust (Fraxinus mandschurica Rupr.) and polypropylene powder as the raw material, was investigated. Wood sawdust and polypropylene powder were subjected to heat treatment to 290℃ during 8 min (the conditions were similar to those employed on an industrial scale). The emitted compounds were collected and analyzed by gas chromatography-mass spectrometry (GC-MS). The analytical results showed that the unpleasant smell was emitted from the pyrogenation of wood sawdust rather than from the polypropylene powder. Nine types of compounds (hydrocarbons, ethers, phenols, aldehydes, ketones, alcohols, acids and their derivatives, furan and its derivatives, and nitrogen-containing compounds) were collected in the gas phase during heating. Among those 126 components detected by GC-MS, 112 compounds were identified.