scholarly journals Etiopathogenesis of Pandu Roga: An Ayurvedic Literary Review

The Healer ◽  
2021 ◽  
Vol 2 (02) ◽  
pp. 54-61
Author(s):  
Megha Choudhary ◽  
Sipra Sasmal ◽  
Pankaj Masodker ◽  
Darpan Gangil
Keyword(s):  
Key Words ◽  
Clinical Picture ◽  
Dietary Habits ◽  
Effective Management ◽  
Disease Entity ◽  
Key Factors ◽  
Diseased Person ◽  
Selection Of

Ahara (dietary habits) and Vihar (lifestyle) play pivot role in health or manifestation of various diseases. Erroneous dietary habits and lifestyle produce disturbance in equilibrium of Doshas which further lead to manifestation of various diseases. Pandu Roga is a disease entity described in Ayurvedic texts, which is characterized by the pallor complexion of the skin of the diseased person. This article is based on the Etiopathogenesis of Pandu Roga as described in various Ayurvedic literatures. Pandu Roga shows great resemblance to the clinical picture of Anaemia. In Ayurveda, Roga and Rogi Pariksha are the key factors for making diagnosis and selection of the treatment. Understanding of Etiopathogenesis and classification of Pandu Roga plays an important role in effective management of the disease. Key words: Pandu Roga, Etiopathogenesis of Pandu, Anaemia

The disaster return-entry process: a discussion of issues, strategies and future research

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Laura K. Siebeneck ◽  
Thomas J. Cova
Keyword(s):  
Design Methodology ◽  
Future Research ◽  
Science Literature ◽  
Research Needs ◽  
Key Factors ◽  
Content Type ◽  
Emergency Managers ◽  
Selection Of ◽  
Disaster Science

PurposeReturn-entry is understudied in the disaster science literature. This paper provides an overview of the return-entry process, identifies key factors informing the selection of return strategy, proposes a simple classification of return strategies and offers ideas for advancing research in this area.Design/methodology/approachThis paper explores previous research and recent return-entry processes in order to advance understanding of strategies emergency managers employ and decisions they make when managing the return movement of evacuees home after disasters.FindingsThe paper offers new insights into the management of the return movement, proposes primary factors considered when developing return strategies and offers a framework for the selection of strategies utilized by emergency managers.Originality/valueGiven that return-entry is a burgeoning area of inquiry in disaster science, this paper advances knowledge and understanding of return-entry movements after disasters and outlines key research needs.

Use of photodynamic therapy for photodamage skin (review of literature)

2019 ◽  
Vol 1 (7) ◽  
pp. 19-23
Author(s):  
S. I. Surkichin ◽  
N. V. Gryazeva ◽  
L. S. Kholupova ◽  
N. V. Bochkova
Keyword(s):  
Photodynamic Therapy ◽  
Comparative Evaluation ◽  
Clinical Manifestations ◽  
Light Sources ◽  
Review Of Literature ◽  
Photosensitizing Agents ◽  
Selection Of

The article provides an overview of the use of photodynamic therapy for photodamage of the skin. The causes, pathogenesis and clinical manifestations of skin photodamage are considered. The definition, principle of action of photodynamic therapy, including the sources of light used, the classification of photosensitizers and their main characteristics are given. Analyzed studies that show the effectiveness and comparative evaluation in the selection of various light sources and photosensitizing agents for photodynamic therapy in patients with clinical manifestations of photodamage.

Philosophcal review of h. white̕s tropological theory in the context of the new philosophy of history

2020 ◽  
Vol 3 (152) ◽  
pp. 92-99
Author(s):  
S. M. Geiko ◽  
◽  
O. D. Lauta
Keyword(s):  
Modern Science ◽  
Historical Knowledge ◽  
Text Organization ◽  
The Social ◽  
History Of ◽  
Actual Material ◽  
The Common ◽  
Historical Nature ◽  
Selection Of

The article provides a philosophical analysis of the tropological theory of the history of H. White. The researcher claims that history is a specific kind of literature, and the historical works is the connection of a certain set of research and narrative operations. The first type of operation answers the question of why the event happened this way and not the other. The second operation is the social description, the narrative of events, the intellectual act of organizing the actual material. According to H. White, this is where the set of ideas and preferences of the researcher begin to work, mainly of a literary and historical nature. Explanations are the main mechanism that becomes the common thread of the narrative. The are implemented through using plot (romantic, satire, comic and tragic) and trope systems – the main stylistic forms of text organization (metaphor, metonymy, synecdoche, irony). The latter decisively influenced for result of the work historians. Historiographical style follows the tropological model, the selection of which is determined by the historian’s individual language practice. When the choice is made, the imagination is ready to create a narrative. Therefore, the historical understanding, according to H. White, can only be tropological. H. White proposes a new methodology for historical research. During the discourse, adequate speech is created to analyze historical phenomena, which the philosopher defines as prefigurative tropological movement. This is how history is revealed through the art of anthropology. Thus, H. White’s tropical history theory offers modern science f meaningful and metatheoretically significant. The structure of concepts on which the classification of historiographical styles can be based and the predictive function of philosophy regarding historical knowledge can be refined.

EFFICACY OF ENDOSCOPIC HEMOCLIPS AND INTERMITTENT INTRAVENOUS PPI IN PEPTIC ULCER BLEEDING

2019 ◽  
pp. 40-44
Author(s):  
Van Huy Tran ◽  
Duy Lieu Dinh
Keyword(s):  
Peptic Ulcer ◽  
Key Words ◽  
Proton Pump Inhibitors ◽  
Proton Pump ◽  
Ulcer Bleeding ◽  
Peptic Ulcer Bleeding ◽  
Forrest Classification

Background: Efficacy of continuous intravenous proton- pump inhibitors (IV PPI) and hemoclips alone was proved, but data about combination of an application of endoscopy clips and intermittent IV PPI in Vietnam was still limited. This study aimed to assess the efficacy of endoscopy hemoclip combined with intermittent IV PPI in the patients of peptic ulcer bleeding. Patients and methods: 34 patients diagnosed as peptic ulcer bleeding, having Forrest classification of Ia, Ib, IIa and IIb, were enrolled. Esomeprazole was administered as 80 mg IV bolus followed by intermittent IV injection of 40 mg/8h during 72h. Results: Immediate hemostasis was achieved in all 34 patients. Only 1 patient (2.9%) had early rebleeding. No severe complications was found in this study. Conclusion: Combination of endoscopy hemoclips and intermittent PPI showed effective, safe in patients of peptic ulcer bleeding. Key words: Peptic ulcer bleeding, intermittent PPI, endoscopy hemoclip

FEATURES OF OPHTHALMIC CARE FOR PATIENTS WITH COMPLICATED CATARACTS

2020 ◽  
pp. 84-89
Author(s):  
Inna Ivanovna Lapkina
Keyword(s):  
Health Care ◽  
Surgical Treatment ◽  
Postoperative Complications ◽  
Key Words ◽  
Outpatient Treatment ◽  
Practical Application ◽  
Unified Approach ◽  
Case Histories ◽  
High Prevalence

Today, around 50 million people worldwide suffer from cataracts, more than a half of them need surgical treatment. High prevalence of this pathology in Ukraine, the need to improve the provision of ophthalmic care to patients, and the reform of the health care system have made the research relevant. Concomitant diseases and special conditions of the eye increase the risk of intra− and postoperative complications, worsen the functional parameters of patients after surgery. In order to develop a unified approach to the treatment of complicated cataracts based on diagnostically related groups of patients, a retrospective analysis of case histories of patients with different variants of complications related to the condition of the lens itself, its ligament apparatus and other structures of the eye was conducted. In each case, the surgeon has to choose the appropriate modification of cataract phacoemulsification surgery. The study proposed the classification of cataract phacoemulsification modifications on the basis of the techniques and the sequence of operation stages, taking into account the classification of the degrees of turbidity of the lens, proposed by L. Buratto. It has been noted that in complicated cases, according to the indications of the patient, surgery may be performed on several modifications of cataract phacoemulsification. The developed classification made it possible to generalize the various variants of pathology and greatly facilitate the choice of tactics of surgical treatment in complicated cataracts. It can be used not only for practical application, but also for improving the qualification of trained professionals. The prospect of further research is to identify contraindications for outpatient treatment of the patients with complicated cataracts. Key words: cataract complication, classification of phacoemulsification modifications, diagnostically related groups.

Using clusterization principles for the selection of repair sections of main oil pipelines based on diagnostic data

2011 ◽  
Vol 8 (1) ◽  
pp. 201-210
Author(s):  
R.M. Bogdanov
Keyword(s):  
Cluster Analysis ◽  
Defect Density ◽  
Density Variation ◽  
Distance Functions ◽  
Oil Pipeline ◽  
Oil Pipelines ◽  
Classification Of Images ◽  
Main Oil Pipeline ◽  
Selection Of

The problem of determining the repair sections of the main oil pipeline is solved, basing on the classification of images using distance functions and the clustering principle, The criteria characterizing the cluster are determined by certain given values, based on a comparison with which the defect is assigned to a given cluster, procedures for the redistribution of defects in cluster zones are provided, and the cluster zones parameters are being changed. Calculations are demonstrating the range of defect density variation depending on pipeline sections and the universal capabilities of linear objects configuration with arbitrary density, provided by cluster analysis.

Negative Staining: a Valuable Technique for Studying Subcellular Components

1997 ◽  
Vol 3 (S2) ◽  
pp. 341-342
Author(s):  
Sara E. Miller
Keyword(s):  
Negative Staining ◽  
Cell Organelles ◽  
Preparation Time ◽  
Nucleic Acid Probes ◽  
Virus Identification ◽  
High Particle ◽  
Thin Sectioning ◽  
Particle Counts ◽  
Selection Of

Negative staining is the most frequently used procedure for preparing particulate specimens, e.g., cell organelles, macromolecules, and viruses, for electron microscopy (Figs. 1-4). The main advantage is that it is rapid, requiring only minutes of preparation time. Another is that it avoids some of the harsh chemicals, e.g., organic solvents, used in thin sectioning. Also, it does not require advanced technical skill. It is widely used in virology, both in classification of viruses as well as diagnosis of viral diseases. Notwithstanding the necessity for fairly high particle counts, virus identification by negative staining is advantageous in not requiring specific reagents such as antibodies, nucleic acid probes, or protein standards which necessitate prior knowledge of potential pathogens for selection of the proper reagent. Furthermore, it does not require viable virions as does growth in tissue culture. Another procedure that uses negative contrasting is ultrathin cryosectioning (Fig. 5).In 1954 Farrant was the first to publish negatively stained material, ferritin particles.

scholarly journals Automatic Evaluation of the Lung Condition of COVID-19 Patients Using X-ray Images and Convolutional Neural Networks

2021 ◽  
Vol 11 (1) ◽  
pp. 28
Author(s):  
Ivan Lorencin ◽  
Sandi Baressi Šegota ◽  
Nikola Anđelić ◽  
Anđela Blagojević ◽  
Tijana Šušteršić ◽  
...  
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Clinical Picture ◽  
Data Augmentation ◽  
Lower Amount ◽  
Training Procedure ◽  
X Ray ◽  
Severe Clinical Picture ◽  
Lung Condition

COVID-19 represents one of the greatest challenges in modern history. Its impact is most noticeable in the health care system, mostly due to the accelerated and increased influx of patients with a more severe clinical picture. These facts are increasing the pressure on health systems. For this reason, the aim is to automate the process of diagnosis and treatment. The research presented in this article conducted an examination of the possibility of classifying the clinical picture of a patient using X-ray images and convolutional neural networks. The research was conducted on the dataset of 185 images that consists of four classes. Due to a lower amount of images, a data augmentation procedure was performed. In order to define the CNN architecture with highest classification performances, multiple CNNs were designed. Results show that the best classification performances can be achieved if ResNet152 is used. This CNN has achieved AUCmacro¯ and AUCmicro¯ up to 0.94, suggesting the possibility of applying CNN to the classification of the clinical picture of COVID-19 patients using an X-ray image of the lungs. When higher layers are frozen during the training procedure, higher AUCmacro¯ and AUCmicro¯ values are achieved. If ResNet152 is utilized, AUCmacro¯ and AUCmicro¯ values up to 0.96 are achieved if all layers except the last 12 are frozen during the training procedure.

scholarly journals Monotonic Functions Method and Its Application to Staging of Patients with Prostate Cancer According to Pretreatment Data

2021 ◽  
Vol 11 (9) ◽  
pp. 3836
Author(s):  
Valeri Gitis ◽  
Alexander Derendyaev ◽  
Konstantin Petrov ◽  
Eugene Yurkov ◽  
Sergey Pirogov ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Learning Algorithm ◽  
Binary Classification ◽  
Preoperative Staging ◽  
Threshold Value ◽  
Logical Function ◽  
Adequate Treatment ◽  
Monotonic Functions ◽  
Selection Of

Prostate cancer is the second most frequent malignancy (after lung cancer). Preoperative staging of PCa is the basis for the selection of adequate treatment tactics. In particular, an urgent problem is the classification of indolent and aggressive forms of PCa in patients with the initial stages of the tumor process. To solve this problem, we propose to use a new binary classification machine-learning method. The proposed method of monotonic functions uses a model in which the disease’s form is determined by the severity of the patient’s condition. It is assumed that the patient’s condition is the easier, the less the deviation of the indicators from the normal values inherent in healthy people. This assumption means that the severity (form) of the disease can be represented by monotonic functions from the values of the deviation of the patient’s indicators beyond the normal range. The method is used to solve the problem of classifying patients with indolent and aggressive forms of prostate cancer according to pretreatment data. The learning algorithm is nonparametric. At the same time, it allows an explanation of the classification results in the form of a logical function. To do this, you should indicate to the algorithm either the threshold value of the probability of successful classification of patients with an indolent form of PCa, or the threshold value of the probability of misclassification of patients with an aggressive form of PCa disease. The examples of logical rules given in the article show that they are quite simple and can be easily interpreted in terms of preoperative indicators of the form of the disease.

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