http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Sujit Kumar Ray,Donah Mary Macoy,김외연,이상열,김민갑 한국분자세포생물학회 2019 Molecules and cells Vol.42 No.7
As sessile organisms, plants have developed sophisticated system to defend themselves against microbial attack. Since plants do not have specialized immune cells, all plant cells appear to have the innate ability to recognize pathogens and turn on an appropriate defense response. The plant innate immune system has two major branches: PAMPs (pathogen associated molecular patterns)-triggered immunity (PTI) and effector-triggered immunity (ETI). The ability to discriminate between self and non-self is a fundamental feature of living organisms, and it is a prerequisite for the activation of plant defenses specific to microbial infection. Arabidopsis cells express receptors that detect extracellular molecules or structures of the microbes, which are called collectively PAMPs and activate PTI. However, nucleotide-binding site leucine-rich repeats (NB-LRR) proteins mediated ETI is induced by direct or indirect recognition of effector molecules encoded by avr genes. In Arabidopsis, plasma-membrane localized multifunctional protein RIN4 (RPM1-interacting protein 4) plays important role in both PTI and ETI. Previous studies have suggested that RIN4 functions as a negative regulator of PTI. In addition, many different bacterial effector proteins modify RIN4 to destabilize plant immunity and several NB-LRR proteins, including RPM1 (resistance to Pseudomonas syringae pv. maculicola 1), RPS2 (resistance to P. syringae 2) guard RIN4. This review summarizes the current studies that have described signaling mechanism of RIN4 function, modification of RIN4 by bacterial effectors and different interacting partner of RIN4 in defense related pathway. In addition, the emerging role of the RIN4 in plant physiology and intercellular signaling as it presents in exosomes will be discussed.
An approach for decision making using intuitionistic trapezoidal fuzzy soft set
Sujit Das,Mohuya B. Kar,Samarjit Kar,Tandra Pal 원광대학교 기초자연과학연구소 2018 ANNALS OF FUZZY MATHEMATICS AND INFORMATICS Vol.16 No.1
Introduction of soft sets by Molodtsov (1999) has evolved a revolution in the decision making paradigm. Researchers have used soft sets with different extensions of fuzzy sets to satisfy the various types of uncertainties involved with real life decision making problems. This paper introduces intuitionistic trapezoidal fuzzy soft set (ITrFSS) by combining intuitionistic trapezoidal fuzzy set (ITrFS) with soft set. Firstly, we generalize the adjustable approach applied to intuitionistic fuzzy soft set (IFSS) based decision making developed by Jiang et al. (2011) and then present an approach to ITrFSS based decision making using threshold ITrFSs and level soft sets. Moreover, we propose weighted ITrFSS and apply it in a decision making problem. Fuzzy analytic hierarchy process (AHP) has been used to derive the attribute weights. This paper has also validated the outcome of the adjustable approaches based on ITrFSS and weighted ITrFSS using closeness coefficient measure. Finally, two illustrative examples are provided to show the feasibility of the proposed approaches in real life decision making problems.
Acute Pancreatitis: A Rare Post-Colonoscopy Sequela
Sujit P. Nair,Prasanta Debnath,Suhas Udgirkar,Parmeshwar Junare,Sanjay Chandnani,Shubham Jain,Vinay B. Pawar,Pravin M. Rathi 대한소화기내시경학회 2020 Clinical Endoscopy Vol.53 No.5
Abdominal pain is a common but benign symptom after colonoscopy. We report a case of acute pancreatitis that occurred just after anelective screening colonoscopy; this is a rare event with very few reported cases. A healthy, asymptomatic male underwent screeningcolonoscopy at our center and developed abdominal pain and emesis after the procedure. An abdominal X-ray ruled out perforation but laboratory tests revealed elevated levels of amylase and lipase. The patient had no etiological risk factors for pancreatitis. Thepresumed mechanism of pancreatitis in this case is mechanical and pressure trauma from excessive insuffation, external abdominal pressure, and repeated withdrawal of the colonoscope due to tight angulation of the splenic flexure, a structure that is in close proximityto the pancreatic tail. Acute pancreatitis should be considered in the differential diagnosis of patients who present with abdominal painafter colonoscopy once more common etiologies have been excluded.
Sujit J. Kshirsagar,Anandkumar H,Sanyogita V. Naik,Alok Yadav,Ruchira M. Sakhala,Sangharsh M. Salve,Aysath Nuhaimah,Priyanka Desai 대한중환자의학회 2024 Acute and Critical Care Vol.39 No.1
Background: Optic nerve sheath diameter (ONSD) is an emerging non-invasive, easily accessible, and possibly useful measurement for evaluating changes in intracranial pressure (ICP). The utilization of bedside ultrasonography (USG) to measure ONSD has garnered increased attention due to its portability, real-time capability, and lack of ionizing radiation. The primary aim of the study was to assess whether bedside USG-guided ONSD measurement can reliably predict increased ICP in traumatic brain injury (TBI) patients.Methods: A total of 95 patients admitted to the trauma intensive care unit was included in this cross sectional study. Patient brain computed tomography (CT) scans and Glasgow Coma Scale (GCS) scores were assessed at the time of admission. Bedside USG-guided binocular ONSD was measured and the mean ONSD was noted. Microsoft Excel ) was used for statistical analysis.Results: Patients with low GCS had higher mean ONSD values (6.4±1.0 mm). A highly significant association was found among the GCS, CT results, and ONSD measurements (p < 0.001). Compared to CT scans, the bedside USG ONSD had 86.42% sensitivity and 64.29% specificity for detecting elevated ICP. The positive predictive value of ONSD to identify elevated ICP was 93.33%, and its negative predictive value was 45.00%. ONSD measurement accuracy was 83.16%.Conclusions: Increased ICP can be accurately predicted by bedside USG measurement of ONSD and can be a valuable adjunctive tool in the management of TBI patients.
ON A CLASS OF GENERALIZED (k, μ)-CONTACT METRIC MANIFOLDS
Sujit Ghosh,Uday Chand De 장전수학회 2010 Proceedings of the Jangjeon mathematical society Vol.13 No.3
The object of the present paper is to study 3-dimensional generalized (k, μ)-contact metric manifolds with harmonic curvature tensor. Also locally Φ-Ricci symmetric and locally Φ-conharmonically symmetric 3-dimensional generalized (k, μ)-contact manifolds have been considered. An example of a locally Φ-conharmonically symmetric three dimensional generalized (k, μ)-contact manifold has been given.
Android Permissions Management at App Installing
Sujit Biswas,Wang Haipeng,Javed Rashid 보안공학연구지원센터 2016 International Journal of Security and Its Applicat Vol.10 No.3
Android based smartphone users’ privacy has been a hot issue recently in public concerns due to various instances of security attacks and privacy leakage on Android platform. Android existing security has been built upon a permission based mechanism which restricts critical resources accesses of third-party Android applications. This permission based security system is widely assessed for its major control of application permissions and critical management of permissions by developers, marketers, and end-users. Considering the critical management of permissions some previous research papers proposed automatic permission management tools. But those automatic tools never assessed end user’s expectation about permissions perfectly. This paper presents a tool, SDroid (Secured anDroid) that assesses the best permissions management based on end users opinion. SDroid evaluates requested permissions and allow users selectively grant permissions considering his/her knowledge level depending on the opinion.
Sujit Kumar Das,Pinki Roy,Arnab Kumar Mishra 한국통신학회 2022 ICT Express Vol.8 No.2
Diabetic Foot Ulcer (DFU) is a complication of diabetes that causes lower limb amputation. In this work, a unique stacked parallel convolution layers-based network (DFU_SPNet) is proposed to perform DFU vs. normal skin classification. The main objective of this work is to design an effective CNN-based classification model, along with proper fine-tuning of optimizer settings. DFU_SPNet consists of 3 blocks of parallel convolution layers with multiple kernel sizes, for local and global feature abstractions. The proposed DFU_SPNet, trained using SGD (with momentum) optimizer with learning rate on the DFUNet dataset, outperformed the current state-of-the-art results with an AUC of 0.974.