Around the world, the food processing industries produce significant amounts of food wastes or byproducts each year. The industries that process plant-based foods, such as those that process fruits and vegetables, cereals and pulses, nuts and oil seeds, etc., mostly create byproducts including bran, husk, pomace, seed, peel, shell, seeds, stems, and seed coat. When these waste products are disposed of as waste or used as cattle feed, they pollute the ecosystem and lose important nutrient components. By-products from the food processing industry are a prospective source of bioactive and functional chemicals that can be used for medicinal and nutritional purposes. Due to rising health consciousness among consumers, there is a tremendous increase in demand for novel functional foods. Functional foods are utilised to improve health quality and health maintenance while lowering health risks for conditions like cardiovascular disease, cancer, osteoporosis, obesity, diabetes, and metabolic disease. India is the world's secondlargest producer of fruits and vegetables. 10% of the fruit produced worldwide comes from it. Fruit wastes are a great source of phytochemicals and antioxidants. As a result, the functional characteristics of the waste from the processing of fruit can be used. The study's goal is to create sustaining and useful food products based on by-products from Tamil Nadu's mango processing industry. This study contributes to a more efficient use of mango processing industries economically. Key words: sustaining,phto-chemicals, Antioxidants,therapeutic
{"title":"Utilization of mango processing industrial waste into value added products","authors":"Rammiya U S","doi":"10.37896/ymer21.08/43","DOIUrl":"https://doi.org/10.37896/ymer21.08/43","url":null,"abstract":"Around the world, the food processing industries produce significant amounts of food wastes or byproducts each year. The industries that process plant-based foods, such as those that process fruits and vegetables, cereals and pulses, nuts and oil seeds, etc., mostly create byproducts including bran, husk, pomace, seed, peel, shell, seeds, stems, and seed coat. When these waste products are disposed of as waste or used as cattle feed, they pollute the ecosystem and lose important nutrient components. By-products from the food processing industry are a prospective source of bioactive and functional chemicals that can be used for medicinal and nutritional purposes. Due to rising health consciousness among consumers, there is a tremendous increase in demand for novel functional foods. Functional foods are utilised to improve health quality and health maintenance while lowering health risks for conditions like cardiovascular disease, cancer, osteoporosis, obesity, diabetes, and metabolic disease. India is the world's secondlargest producer of fruits and vegetables. 10% of the fruit produced worldwide comes from it. Fruit wastes are a great source of phytochemicals and antioxidants. As a result, the functional characteristics of the waste from the processing of fruit can be used. The study's goal is to create sustaining and useful food products based on by-products from Tamil Nadu's mango processing industry. This study contributes to a more efficient use of mango processing industries economically. Key words: sustaining,phto-chemicals, Antioxidants,therapeutic","PeriodicalId":23848,"journal":{"name":"YMER Digital","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88323933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This article describes how to analyze the impact of air loads on billboards, how to determine and modify input data, and how to determine the coefficients of iteration loop conversion in calculation of air loads between Vietnam and foreign standards. Show. In addition, this article provides information on calculating the various criteria for determining air cargo according to Vietnamese standard TCVN 27371995, European standard EN 1991-14 and American ASCE / SEI 705 billboard advertising with MathCad. Show calculation process. calculation software. Statistics for certain symbols are displayed. Keywords: Large plate board construction, air load, texture, failure, standard l
本文介绍了如何分析空气荷载对广告牌的影响，如何确定和修改输入数据，以及如何确定越南与国外标准在空气荷载计算中的迭代循环转换系数。秀。此外，本文还提供了根据越南标准TCVN 27371995、欧洲标准EN 1991-14和美国ASCE / SEI 705广告牌广告用MathCad计算确定航空货物的各种标准的信息。显示计算过程。计算软件。显示某些符号的统计信息。关键词:大板结构，空气荷载，纹理，失效，标准
{"title":"Impact of Wind Load on Large Plate Billboards","authors":"K. MOHIUDDIN FAROOQUI, Nishant Yadav","doi":"10.37896/ymer21.08/42","DOIUrl":"https://doi.org/10.37896/ymer21.08/42","url":null,"abstract":"This article describes how to analyze the impact of air loads on billboards, how to determine and modify input data, and how to determine the coefficients of iteration loop conversion in calculation of air loads between Vietnam and foreign standards. Show. In addition, this article provides information on calculating the various criteria for determining air cargo according to Vietnamese standard TCVN 27371995, European standard EN 1991-14 and American ASCE / SEI 705 billboard advertising with MathCad. Show calculation process. calculation software. Statistics for certain symbols are displayed. Keywords: Large plate board construction, air load, texture, failure, standard l","PeriodicalId":23848,"journal":{"name":"YMER Digital","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91375659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Introduction- Career choice should be based on practical measures that rely on appropriate information and experience that depend on an analytical approach for choosing best for students based on their capabilities, interest and their skills rather than following the footsteps of others. Because it is one of the most vital elements that transform lives and should be taken seriously without being influenced. Objective- The motive of the study is to determine the perception of the higher secondary science student for making a career choice. The research also explores the career management process that performs a vital role in formulating appropriate career decisions for the higher secondary students for their bright future and sustainable growth. Methodology- The research utilizes empirical analysis methods based on primary research. The total number of respondents in the research are 152 students willing to share their opinion who are studying in the higher secondary and living in Western Odisha. The paper uses a Random Sampling Method based on a primary approach that relies on standard questionnaires. Statistical tools for extracting and analyzing the data in the study use the ANOVA approach. Results- The result prominently favors the role of career management and influencing factors that reveal a significant and promising impact on students' perception while making career choices. Keywords- Career Choice, Career interest, Career Management Process, Western Odisha and education, STEM as a career choice
{"title":"Exploring the perception of Higher Secondary Science Students for their Career Objective: a case study in Western Odisha","authors":"Pramod Kumar Debta, K. Patra","doi":"10.37896/ymer21.08/44","DOIUrl":"https://doi.org/10.37896/ymer21.08/44","url":null,"abstract":"Introduction- Career choice should be based on practical measures that rely on appropriate information and experience that depend on an analytical approach for choosing best for students based on their capabilities, interest and their skills rather than following the footsteps of others. Because it is one of the most vital elements that transform lives and should be taken seriously without being influenced. Objective- The motive of the study is to determine the perception of the higher secondary science student for making a career choice. The research also explores the career management process that performs a vital role in formulating appropriate career decisions for the higher secondary students for their bright future and sustainable growth. Methodology- The research utilizes empirical analysis methods based on primary research. The total number of respondents in the research are 152 students willing to share their opinion who are studying in the higher secondary and living in Western Odisha. The paper uses a Random Sampling Method based on a primary approach that relies on standard questionnaires. Statistical tools for extracting and analyzing the data in the study use the ANOVA approach. Results- The result prominently favors the role of career management and influencing factors that reveal a significant and promising impact on students' perception while making career choices. Keywords- Career Choice, Career interest, Career Management Process, Western Odisha and education, STEM as a career choice","PeriodicalId":23848,"journal":{"name":"YMER Digital","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89666170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Selvia AM AMAlANATHAN, Abdulaziz Asiri, Amer Al Ali
Pain is a subjective feeling; it is a sensation that every human being must have experienced all their life. Yet, its mechanism and the way to immune to it is still a question to be answered. This re- view presents the mechanism and correlation of pain and stress, their assessment and detection approach with medical devices and wearable sensors. Various physiological signals (i.e., heart activity, brain activity, muscle activity, electrodermal activity, respiratory, blood volume pulse, skin tempera- ture) and behavioral signals are organized for wearables sensors detection. By reviewing the wearable sensors used in the healthcare domain, we hope to find a way for wearable healthcare-monitoring system to be applied on pain and stress detection. Since pain leads to multiple consequences or symptoms such as muscle tension and depression that are stress related, there is a chance to find a new approach for chronic pain detection using daily life sensors or devices. Then by integrating modern computing techniques, there is a chance to handle pain and stress management issue. Keywords: Mental health, machine learning, pain detection; stress detection; wearable sensor; physiological signals; behavioral signals
{"title":"Mental Health Prediction Using Artificial Intelligence- Machine Learning: Pain and Stress Detection Using Wearable Sensors and Devices—A Review","authors":"Selvia AM AMAlANATHAN, Abdulaziz Asiri, Amer Al Ali","doi":"10.37896/ymer21.08/45","DOIUrl":"https://doi.org/10.37896/ymer21.08/45","url":null,"abstract":"Pain is a subjective feeling; it is a sensation that every human being must have experienced all their life. Yet, its mechanism and the way to immune to it is still a question to be answered. This re- view presents the mechanism and correlation of pain and stress, their assessment and detection approach with medical devices and wearable sensors. Various physiological signals (i.e., heart activity, brain activity, muscle activity, electrodermal activity, respiratory, blood volume pulse, skin tempera- ture) and behavioral signals are organized for wearables sensors detection. By reviewing the wearable sensors used in the healthcare domain, we hope to find a way for wearable healthcare-monitoring system to be applied on pain and stress detection. Since pain leads to multiple consequences or symptoms such as muscle tension and depression that are stress related, there is a chance to find a new approach for chronic pain detection using daily life sensors or devices. Then by integrating modern computing techniques, there is a chance to handle pain and stress management issue. Keywords: Mental health, machine learning, pain detection; stress detection; wearable sensor; physiological signals; behavioral signals","PeriodicalId":23848,"journal":{"name":"YMER Digital","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80582520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Parkinson’s disease is a brain disease that leads to stiffness, shaking, and problems with walking, balance of coordination, and brain injury. It occurs when nerve cells or neurons that produce an important brain channel known as dopamine and control the movements in an area of the brain is impaired and die. Parkinson’s symptoms usually begin gradually and get worse over times. Age is the one clear risk factor for this disease. A person with Parkinson’s disease may have clumps of proteins known as alpha synuclein or Lewy bodies in their brain. There is no cure for Parkinson’s disease, the aim of medical management of Parkinson’s disease to restore the proper balance of dopaminergic and cholinergic activities in the brain in order to relieve symptoms. This review presents a brief overview of scientific basis that support the plant derived natural products and their constituents for the treatment of underlying neuronal degeneration observed in Parkinson’s disease. The neuroprotective effects exhibited by these medicinal plants and their constituents are considered to be due to their ability to modulate; glutathione, superoxide dismutase and catalase in the brain, which all are disrupted in the PD brain. Keywords: PD, Indian Herbs
{"title":"Herbal Moieties and its effect on Parkinsonism: A New Prospective","authors":"Arvind Kumar","doi":"10.37896/ymer21.08/41","DOIUrl":"https://doi.org/10.37896/ymer21.08/41","url":null,"abstract":"Parkinson’s disease is a brain disease that leads to stiffness, shaking, and problems with walking, balance of coordination, and brain injury. It occurs when nerve cells or neurons that produce an important brain channel known as dopamine and control the movements in an area of the brain is impaired and die. Parkinson’s symptoms usually begin gradually and get worse over times. Age is the one clear risk factor for this disease. A person with Parkinson’s disease may have clumps of proteins known as alpha synuclein or Lewy bodies in their brain. There is no cure for Parkinson’s disease, the aim of medical management of Parkinson’s disease to restore the proper balance of dopaminergic and cholinergic activities in the brain in order to relieve symptoms. This review presents a brief overview of scientific basis that support the plant derived natural products and their constituents for the treatment of underlying neuronal degeneration observed in Parkinson’s disease. The neuroprotective effects exhibited by these medicinal plants and their constituents are considered to be due to their ability to modulate; glutathione, superoxide dismutase and catalase in the brain, which all are disrupted in the PD brain. Keywords: PD, Indian Herbs","PeriodicalId":23848,"journal":{"name":"YMER Digital","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85747708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bal Gopal Mishra, Animesh Sarangi, Satyabhama Dash
Neurological illnesses are one of the most common medical conditions affecting human races and societies worldwide. Parkinson's disease is a neurological ailment caused by absence of dopamine in the human brain and has an impact on the afflicted person's daily routine. Gait freezing event is the most concerning symptom of Parkinson's disease, and it affects around half of people with severe Parkinson's. Machine learning methods are used in this study to detect and forecast gait freezing events. Two hundred thirty seven gait freezing instances from eight patients were collected from tri-axial accelerometer data set and used to train four machine learning classification models. After comparing different performance measures of the four classification models it was found that the Random forest classification model was the most suitable one for predicting gait freezing events in Parkinson disease as it had the best accuracy, sensitivity ,selectivity and least error among the four models. Keywords: Parkinson’s disease , Gait freezing , machine learning , tri-axial accelerometer , Random forest classification model.
{"title":"Forecasting gait freezing event in Parkinson's patients utilizing machine learning approach from accelerometer signals","authors":"Bal Gopal Mishra, Animesh Sarangi, Satyabhama Dash","doi":"10.37896/ymer21.08/37","DOIUrl":"https://doi.org/10.37896/ymer21.08/37","url":null,"abstract":"Neurological illnesses are one of the most common medical conditions affecting human races and societies worldwide. Parkinson's disease is a neurological ailment caused by absence of dopamine in the human brain and has an impact on the afflicted person's daily routine. Gait freezing event is the most concerning symptom of Parkinson's disease, and it affects around half of people with severe Parkinson's. Machine learning methods are used in this study to detect and forecast gait freezing events. Two hundred thirty seven gait freezing instances from eight patients were collected from tri-axial accelerometer data set and used to train four machine learning classification models. After comparing different performance measures of the four classification models it was found that the Random forest classification model was the most suitable one for predicting gait freezing events in Parkinson disease as it had the best accuracy, sensitivity ,selectivity and least error among the four models. Keywords: Parkinson’s disease , Gait freezing , machine learning , tri-axial accelerometer , Random forest classification model.","PeriodicalId":23848,"journal":{"name":"YMER Digital","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89089559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Animesh Sarangi, Bal Gopal Mishra, Satyabhama Dash
Electromyogram (EMG) or muscle artifacts frequently affect electrocardiogram (ECG) readings. These artifacts make the required information in the ECG signal difficult to see. In this study, we introduced the singular spectrum analysis (SSA), a powerful subspace-based method for removing EMG artifacts from ECG data. In order to effectively extract the desired component from the tainted ECG data, we presented a new grouping approach and set a threshold. First, a process known as embedding converts a single channel signal into several channels of signals or data. The orthogonal eigenvectors are then calculated using singular value decomposition(SVD) from the multichannel data's covariance matrix. A threshold is selected to locate these eigenvectors, which are utilized to generate the required subspace. After locating the subspace, the multichannel data is simply projected into it, followed by a method called diagonal averaging which will create the original time series and extract the ECG signals. Keywords: Electrocardiogram, EMG artifact, Singular Spectrum Analysis, Embedding, SVD, Mobility.
{"title":"Singular Spectrum Analysis Based EMG Artifact Removal from ECG Signal","authors":"Animesh Sarangi, Bal Gopal Mishra, Satyabhama Dash","doi":"10.37896/ymer21.08/36","DOIUrl":"https://doi.org/10.37896/ymer21.08/36","url":null,"abstract":"Electromyogram (EMG) or muscle artifacts frequently affect electrocardiogram (ECG) readings. These artifacts make the required information in the ECG signal difficult to see. In this study, we introduced the singular spectrum analysis (SSA), a powerful subspace-based method for removing EMG artifacts from ECG data. In order to effectively extract the desired component from the tainted ECG data, we presented a new grouping approach and set a threshold. First, a process known as embedding converts a single channel signal into several channels of signals or data. The orthogonal eigenvectors are then calculated using singular value decomposition(SVD) from the multichannel data's covariance matrix. A threshold is selected to locate these eigenvectors, which are utilized to generate the required subspace. After locating the subspace, the multichannel data is simply projected into it, followed by a method called diagonal averaging which will create the original time series and extract the ECG signals. Keywords: Electrocardiogram, EMG artifact, Singular Spectrum Analysis, Embedding, SVD, Mobility.","PeriodicalId":23848,"journal":{"name":"YMER Digital","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73963195","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
One of major source of wastewater are educational institutions. Educational institutions do not have proper treatment unit for treatingthe sewage created by it. The raw institutional wastewater contains various toxic organic and inorganic compounds, chemicals, pathogenicmicroorganisms etc. If they are released into the environment without any treatment, our natural water bodies will be severely affected by them. As we cannot deny the contribution of educational institutes, industries and agricultural practices in our life, we must find a solutionto minimize the pollution. For this, the wastewater must be treated before releasing into the environment. Sewage treatment is a process that removes unusual contaminants from wastewater and brings back it to the environment for reuse. Our institute BIT Durg also generates both domestic and laboratory wastewaters which is directly going to the municipal sewerage system.With a view to treat and recover water from the sewage, here we arediscussing about constructing a STP Based on SBR concept for its sewage. Keywords: Sequential Batch Reactor (SBR), Sewage treatment plant , STAAD-Pro analysis
{"title":"Design and Analysis of Sewage Treatment Plant with Sequential Batch Reactor for an Educational Institute","authors":"Shubham Dashore, Aaditya Shrivastava","doi":"10.37896/ymer21.08/38","DOIUrl":"https://doi.org/10.37896/ymer21.08/38","url":null,"abstract":"One of major source of wastewater are educational institutions. Educational institutions do not have proper treatment unit for treatingthe sewage created by it. The raw institutional wastewater contains various toxic organic and inorganic compounds, chemicals, pathogenicmicroorganisms etc. If they are released into the environment without any treatment, our natural water bodies will be severely affected by them. As we cannot deny the contribution of educational institutes, industries and agricultural practices in our life, we must find a solutionto minimize the pollution. For this, the wastewater must be treated before releasing into the environment. Sewage treatment is a process that removes unusual contaminants from wastewater and brings back it to the environment for reuse. Our institute BIT Durg also generates both domestic and laboratory wastewaters which is directly going to the municipal sewerage system.With a view to treat and recover water from the sewage, here we arediscussing about constructing a STP Based on SBR concept for its sewage. Keywords: Sequential Batch Reactor (SBR), Sewage treatment plant , STAAD-Pro analysis","PeriodicalId":23848,"journal":{"name":"YMER Digital","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90888772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
When a saline-alkali (sodic) soil comes in contact with rain water, water molecules in between the clay platelets cause the clay to dislodge and platelets are detached from the soil aggregate,this phenomenon is known as dispersion. It causes serious complications to stability of earthretaining structures or any water retaining structure due to dispersive characteristics of soil. Structures like embankments, channels and other areas are at risk of serious erosion because it is easily erodible and deflocculated in water. Therefore, in these applications it is important tocheck for erosion especially during high flow conditions. Dispersive soil persists high swelling and shrinking potential and in intact sate possesses low resistance to erosion and low permeability. The present paper attempts to examine the prime characteristics of dispersive soil, methods for identification, problems due to dispersive soil and their remedies. Keywords: sodic soil, erosion, deflocculation, high swelling and shrinking potential. erosion, challenging & problematic soils
{"title":"DISPERSIVE SOIL AND ITS MANAGEMENT - A BRIEF INTRODUCTION","authors":"S. Satapathy","doi":"10.37896/ymer21.08/33","DOIUrl":"https://doi.org/10.37896/ymer21.08/33","url":null,"abstract":"When a saline-alkali (sodic) soil comes in contact with rain water, water molecules in between the clay platelets cause the clay to dislodge and platelets are detached from the soil aggregate,this phenomenon is known as dispersion. It causes serious complications to stability of earthretaining structures or any water retaining structure due to dispersive characteristics of soil. Structures like embankments, channels and other areas are at risk of serious erosion because it is easily erodible and deflocculated in water. Therefore, in these applications it is important tocheck for erosion especially during high flow conditions. Dispersive soil persists high swelling and shrinking potential and in intact sate possesses low resistance to erosion and low permeability. The present paper attempts to examine the prime characteristics of dispersive soil, methods for identification, problems due to dispersive soil and their remedies. Keywords: sodic soil, erosion, deflocculation, high swelling and shrinking potential. erosion, challenging & problematic soils","PeriodicalId":23848,"journal":{"name":"YMER Digital","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77823070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
IUFD is an important indicator of maternal and perinatal Health in a given population. Fetal death from Intra partum asphyxia and Rh is immunization has almost disappeared. Toxaemia and GDM contribute significantly to fetal deaths. There is a significant decline in still birth from unexplained causes. Most frequent reported causes of fetal death earlier were prolapsed of cord, abruptioplacenta, Hydrocephalus and rupture uterus. If the causes of IUFD can be found, an effective strategy for prevention of IUFD can be materialised and complications can be prevented. Methods: Retrospective study in Tertiary Care Hospital. Results: 35 out of 38 of the patients are belong to the age group of 20-30 years. With history of reduced fetal moments, background of pre ecclampsia and anaemia contribute significantly to fetal deaths. Conclusions: to seek treating physicians with history of reduced fetal moments and aggressive treatment of PIH and anaemia can reduce the burden of IUD in this tribal belt. Illiteracy is a big burden to train and educate women to seek good antenatal care and advice. Keywords: Pre Ecclampsia Hypertention(PIH), Intra Uterine Fatal Death(IUFD), Anti Partum Haemorrhage(APH), Macerated Still Birth(MSB), Preterm Labour(PTL), Meconium Stained Liquor (MSL), Gestational Diabetes Mellitus(GDM), Pre matured rupture of Membranes(PROM), Lower Segment caesarean section(LSCS), Pre term death (PTD), Congenital Malformations(CMF).
{"title":"RETROSPECTIVE STUDY OF RISK FACTORS IN PATIENTS WITH INTRAUTERINE DEATHS AFTER THE STATE OF VIABILITY REFERRED TO THE TERTIARY HEALTH FACILITY IN KODAGU","authors":"Somashekar H. K","doi":"10.37896/ymer21.08/32","DOIUrl":"https://doi.org/10.37896/ymer21.08/32","url":null,"abstract":"IUFD is an important indicator of maternal and perinatal Health in a given population. Fetal death from Intra partum asphyxia and Rh is immunization has almost disappeared. Toxaemia and GDM contribute significantly to fetal deaths. There is a significant decline in still birth from unexplained causes. Most frequent reported causes of fetal death earlier were prolapsed of cord, abruptioplacenta, Hydrocephalus and rupture uterus. If the causes of IUFD can be found, an effective strategy for prevention of IUFD can be materialised and complications can be prevented. Methods: Retrospective study in Tertiary Care Hospital. Results: 35 out of 38 of the patients are belong to the age group of 20-30 years. With history of reduced fetal moments, background of pre ecclampsia and anaemia contribute significantly to fetal deaths. Conclusions: to seek treating physicians with history of reduced fetal moments and aggressive treatment of PIH and anaemia can reduce the burden of IUD in this tribal belt. Illiteracy is a big burden to train and educate women to seek good antenatal care and advice. Keywords: Pre Ecclampsia Hypertention(PIH), Intra Uterine Fatal Death(IUFD), Anti Partum Haemorrhage(APH), Macerated Still Birth(MSB), Preterm Labour(PTL), Meconium Stained Liquor (MSL), Gestational Diabetes Mellitus(GDM), Pre matured rupture of Membranes(PROM), Lower Segment caesarean section(LSCS), Pre term death (PTD), Congenital Malformations(CMF).","PeriodicalId":23848,"journal":{"name":"YMER Digital","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80104140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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