Two manglicolous lichen species namely,Graphis ajarekarii Patw.and C.R.Kulk on the twigs of Avicennia officinalis from Nagayalanka lighthouse of Krishna estuary,Andhra Pradesh and Ramalina leiodea(Nyl.)Nyl.on the twig...Two manglicolous lichen species namely,Graphis ajarekarii Patw.and C.R.Kulk on the twigs of Avicennia officinalis from Nagayalanka lighthouse of Krishna estuary,Andhra Pradesh and Ramalina leiodea(Nyl.)Nyl.on the twigs of Ceriops decandra from Bhitarkanika island of Mahanadi estuary,Orissa state are reported.Both the species are new records on the mangroves of Andhra Pradesh and Orissa states of India.展开更多
In Encoscopic Retrograde Cholangiopancreatography(ERCP),the main concern is to gain access into the bile duct while avoiding the pancreatic duct because of the risk of post-ERCP pancreatitis.Diffi cult cannulation is ...In Encoscopic Retrograde Cholangiopancreatography(ERCP),the main concern is to gain access into the bile duct while avoiding the pancreatic duct because of the risk of post-ERCP pancreatitis.Diffi cult cannulation is defined as a situation where the endoscopist,using his/her regularly used cannulation technique,fails within a certain time limit or after a certain number of unsuccessful attempts.Different methods have been developed to manage diffi cult cannulation.The most common solution is to perform a precut papillotomy either with a needle knife or with a sphincterotome with or without a guide wire.This review describes different methods to overcome cases of difficult cannulation.We will discuss the success rate and complication rates associated with different methods of reaching the biliary tract.展开更多
Kidney infection is a severe medical issue affecting individuals worldwide and increasing mortality rates.Chronic Kidney Disease(CKD)is treatable during its initial phases but can become irreversible and cause renal f...Kidney infection is a severe medical issue affecting individuals worldwide and increasing mortality rates.Chronic Kidney Disease(CKD)is treatable during its initial phases but can become irreversible and cause renal failure.Among the various diseases,the most prevalent kidney conditions affecting kidney function are cyst growth,kidney tumors,and nephrolithiasis.The significant challenge for the medical community is the immediate diagnosis and treatment of kidney disease.Kidney failure could result from kidney disorders like tumors,stones,and cysts if not often identified and addressed.Computer-assisted diagnostics are necessary to support clinicians’and specialists’medical assessments due to the rising prevalence of chronic renal illness,the lack of experts,and the rising rates of assessment and monitoring,mainly in developing nations.Artificial Intelligence(AI)approaches such as machine,and deep learning has been used in literature for kidney disease detection;however,they still lack performance.This paper implements a deep learning-based Convolutional Neural Network(CNN)model for the classification and prognosis of kidney disease.We use a benchmark Computed Tomography(CT)kidney dataset for experimentation.The data is pre-processed,and then CNN extracts the features from the images.Results reveal that the proposed approach accurately classifies kidney disease with a considerable accuracy of 0.992%,0.994%precision,0.982%recall,and 0.987%F1-score.This study suggests using the proposed fine-tuned CNN model for kidney disease detection.展开更多
Multimodality optical imaging probes have emerged as powerful tools that improve detection sensitivity and accuracy, important in disease diagnosis and treatment. In this review, we focus on recent developments of opt...Multimodality optical imaging probes have emerged as powerful tools that improve detection sensitivity and accuracy, important in disease diagnosis and treatment. In this review, we focus on recent developments of optical fluorescence imaging(OFI) probe integration with other imaging modalities such as X-ray computed tomography(CT), magnetic resonance imaging(MRI), positron emission tomography(PET), single-photon emission computed tomography(SPECT), and photoacoustic imaging(PAI). The imaging technologies are briefly described in order to introduce the strengths and limitations of each techniques and the need for further multimodality optical imaging probe development. The emphasis of this account is placed on how design strategies are currently implemented to afford physicochemically and biologically compatible multimodality optical fluorescence imaging probes. We also present studies that overcame intrinsic disadvantages of each imaging technique by multimodality approach with improved detection sensitivity and accuracy.展开更多
The extraction and separation of aloe emodin were optimized via selective molecularly imprinted solid-phase extraction. Molecularly imprinted polymer was prepared from the functional monomer, methacrylic acid and a mi...The extraction and separation of aloe emodin were optimized via selective molecularly imprinted solid-phase extraction. Molecularly imprinted polymer was prepared from the functional monomer, methacrylic acid and a mixture of ethanol/dodecanol（90/10, volume ratio） as porogen. It overcomes the common problems of imprin- ting biological polar compounds and shows high selectivity compared favorably with those of non-imprinted polymer and commercially available C18 and silica cartridges in similar aloe emodin tests. Good linearity was obtained be- tween 0.002 and 2.5 mg/mL（r2=0.998） with relative standard deviations below 3.3%.展开更多
文摘Two manglicolous lichen species namely,Graphis ajarekarii Patw.and C.R.Kulk on the twigs of Avicennia officinalis from Nagayalanka lighthouse of Krishna estuary,Andhra Pradesh and Ramalina leiodea(Nyl.)Nyl.on the twigs of Ceriops decandra from Bhitarkanika island of Mahanadi estuary,Orissa state are reported.Both the species are new records on the mangroves of Andhra Pradesh and Orissa states of India.
文摘In Encoscopic Retrograde Cholangiopancreatography(ERCP),the main concern is to gain access into the bile duct while avoiding the pancreatic duct because of the risk of post-ERCP pancreatitis.Diffi cult cannulation is defined as a situation where the endoscopist,using his/her regularly used cannulation technique,fails within a certain time limit or after a certain number of unsuccessful attempts.Different methods have been developed to manage diffi cult cannulation.The most common solution is to perform a precut papillotomy either with a needle knife or with a sphincterotome with or without a guide wire.This review describes different methods to overcome cases of difficult cannulation.We will discuss the success rate and complication rates associated with different methods of reaching the biliary tract.
基金supported by the Deanship of Scientific Research at Prince Sattam Bin Aziz University under the Research Project (PSAU/2023/01/22425).
文摘Kidney infection is a severe medical issue affecting individuals worldwide and increasing mortality rates.Chronic Kidney Disease(CKD)is treatable during its initial phases but can become irreversible and cause renal failure.Among the various diseases,the most prevalent kidney conditions affecting kidney function are cyst growth,kidney tumors,and nephrolithiasis.The significant challenge for the medical community is the immediate diagnosis and treatment of kidney disease.Kidney failure could result from kidney disorders like tumors,stones,and cysts if not often identified and addressed.Computer-assisted diagnostics are necessary to support clinicians’and specialists’medical assessments due to the rising prevalence of chronic renal illness,the lack of experts,and the rising rates of assessment and monitoring,mainly in developing nations.Artificial Intelligence(AI)approaches such as machine,and deep learning has been used in literature for kidney disease detection;however,they still lack performance.This paper implements a deep learning-based Convolutional Neural Network(CNN)model for the classification and prognosis of kidney disease.We use a benchmark Computed Tomography(CT)kidney dataset for experimentation.The data is pre-processed,and then CNN extracts the features from the images.Results reveal that the proposed approach accurately classifies kidney disease with a considerable accuracy of 0.992%,0.994%precision,0.982%recall,and 0.987%F1-score.This study suggests using the proposed fine-tuned CNN model for kidney disease detection.
基金supported by the National Science Foundation of China(No.21577037 to Kaiyan Lou)East China University of Science and Technology(Grant No.YC0140101,start-up funds to Wei Wang)
文摘Multimodality optical imaging probes have emerged as powerful tools that improve detection sensitivity and accuracy, important in disease diagnosis and treatment. In this review, we focus on recent developments of optical fluorescence imaging(OFI) probe integration with other imaging modalities such as X-ray computed tomography(CT), magnetic resonance imaging(MRI), positron emission tomography(PET), single-photon emission computed tomography(SPECT), and photoacoustic imaging(PAI). The imaging technologies are briefly described in order to introduce the strengths and limitations of each techniques and the need for further multimodality optical imaging probe development. The emphasis of this account is placed on how design strategies are currently implemented to afford physicochemically and biologically compatible multimodality optical fluorescence imaging probes. We also present studies that overcame intrinsic disadvantages of each imaging technique by multimodality approach with improved detection sensitivity and accuracy.
文摘The extraction and separation of aloe emodin were optimized via selective molecularly imprinted solid-phase extraction. Molecularly imprinted polymer was prepared from the functional monomer, methacrylic acid and a mixture of ethanol/dodecanol（90/10, volume ratio） as porogen. It overcomes the common problems of imprin- ting biological polar compounds and shows high selectivity compared favorably with those of non-imprinted polymer and commercially available C18 and silica cartridges in similar aloe emodin tests. Good linearity was obtained be- tween 0.002 and 2.5 mg/mL（r2=0.998） with relative standard deviations below 3.3%.
