scholarly journals Multimodal Analysis of Human Fear

2019 ◽  
Vol 8 (11) ◽  
pp. 3654-3659
Keyword(s):  
Human Life ◽  
Vital Role ◽  
Physical Parameters ◽  
Discrete Wavelet ◽  
Statistical Parameters ◽  
Basic Emotions ◽  
Human Emotion ◽  
Multimodal Analysis ◽  
Facial Images ◽  
Electroencephalogram Eeg

Human emotion detection is very much relevant in today’s scenario. Human life become fast due to modernisation. People like to lead sophisticated, peaceful and healthy life. Human emotion plays a vital role in present scenario. Six basic emotions are considered for research purpose. Those are happy, sad, fear, anger, disgust and boredom. In this paper, human fear is analysed based on Electroencephalogram (EEG) signal, physical parameters and facial images. Statistical parameters both from time and frequency domain are used as feature set. Own database is used for the analysis. It is seen from the result that the efficiency is enhanced significantly after multimodal analysis of human fear. The classification results for discrete wavelet transform and logistic regression model are improved by 8.33% and 8.33% respectively.

The role of Record of Rights (Khatian) in determining title or possession: An overview

IIUC Studies ◽  
2020 ◽  
Vol 15 ◽  
pp. 33-46
Author(s):  
Kalim Ullah
Keyword(s):  
Human Life ◽  
Vital Role ◽  
Critical Element ◽  
Human Beings ◽  
Supportive Evidence ◽  
Land Administration ◽  
Holy Quran ◽  
The Holy Quran ◽  
Religious Systems

Human beings are deeply related to land. Human beings take birth on land, live on land, die on land and mixes with land ultimately. As stated in the holy Quran: ‘We (Allah) created you (human beings) from the soil, we shall make you return to the soil and We shall call you back again from the soil’ (20:55). Human life is surrounded by soil i.e. land. So, land is a highly completed issue of human life involving economic, social, political, cultural and often religious systems. Land administration is thus a critical element and often a pre-condition for peaceful society and sustainable development. In administrating land, Khatian or record of rights plays a vital role to determine the rights and interests of the respective parties as supportive evidence. In this article, discussion is mainly made on the fact that Khatian or record of rights is not a document of title solely but it may be an evidence of title as well as possession. IIUC Studies Vol.15(0) December 2018: 33-46

scholarly journals Education and social support: do migrants benefit as much as natives?

2020 ◽  
Vol 8 (1) ◽  
Author(s):  
Jana Brandt ◽  
Kyra Selina Hagge
Keyword(s):  
Social Support ◽  
Personal Development ◽  
Human Life ◽  
Well Being ◽  
Vital Role ◽  
Cross Sectional ◽  
Support Providers ◽  
Appraisal Support ◽  
Migration Experiences ◽  
To Receive

Abstract Education and having access to social support play a vital role in the human life. Integrated and better-educated people demonstrate an increased personal health and well-being. Social isolation, on the contrary, can affect not only the personal development, but also pertains to society. These topics are especially relevant in the current migration debate. Our paper examines the link between schooling and the individuals’ probability to receive different types of social support, in particular emotional, instrumental, informational, and appraisal support. Using logit and ordinal logit regressions on cross-sectional micro-data provided by the SOEP, we distinguish between two subgroups, the native population and people who migrated to Germany. Our findings confirm that higher levels of education increase the probability to access social support as well as the number of support providers in the network. Migrants are disadvantaged when it comes to the access of social support. However, our results suggest no significant negative returns to education for people with migration experiences.

scholarly journals Interpretable Detection and Location of Myocardial Infarction Based on Ventricular Fusion Rule Features

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Wenzhi Zhang ◽  
Runchuan Li ◽  
Shengya Shen ◽  
Jinliang Yao ◽  
Yan Peng ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Clinical Decision Making ◽  
Human Life ◽  
Principal Component ◽  
Fusion Rule ◽  
Clinical Decision ◽  
Gradient Boosting ◽  
Discrete Wavelet ◽  
Extreme Gradient Boosting ◽  
Ventricular Activity

Myocardial infarction (MI) is one of the most common cardiovascular diseases threatening human life. In order to accurately distinguish myocardial infarction and have a good interpretability, the classification method that combines rule features and ventricular activity features is proposed in this paper. Specifically, according to the clinical diagnosis rule and the pathological changes of myocardial infarction on the electrocardiogram, the local information extracted from the Q wave, ST segment, and T wave is computed as the rule feature. All samples of the QT segment are extracted as ventricular activity features. Then, in order to reduce the computational complexity of the ventricular activity features, the effects of Discrete Wavelet Transform (DWT), Principal Component Analysis (PCA), and Locality Preserving Projections (LPP) on the extracted ventricular activity features are compared. Combining rule features and ventricular activity features, all the 12 leads features are fused as the ultimate feature vector. Finally, eXtreme Gradient Boosting (XGBoost) is used to identify myocardial infarction, and the overall accuracy rate of 99.86% is obtained on the Physikalisch-Technische Bundesanstalt (PTB) database. This method has a good medical diagnosis basis while improving the accuracy, which is very important for clinical decision-making.

scholarly journals An Overview of Post-COVID-19 Patient’s Health Monitoring Systems

2021 ◽  
Vol 7 (10) ◽  
pp. 61-67
Author(s):  
Chirag Satapathy, Hrishikesh Gokhale, Ali Zoya Syed, Keerti Srivastava and Ruban Nersisson
Keyword(s):  
Health Monitoring ◽  
Human Life ◽  
Vital Role ◽  
Health Conditions ◽  
Smart Sensors ◽  
Monitoring Systems ◽  
Comprehensive Review ◽  
Global Pandemic ◽  
Health Monitoring Systems ◽  
Time Basis

COVID-19 is a global pandemic infecting human life. There are many patients who have recovered from this deadly virus and need to be monitored constantly even when they are at home. IoT plays a vital role in health systems that help to monitor patient’s health conditions. These healthcare frameworks consist of smart sensors to keep a track of patient’s vitals on a real-time basis. These systems will help bridge gaps between the patients and doctors during the pandemic situation. In order to make our system competitive against the already existing devices, we prepared a comprehensive review where we extensively studied other products and compared them to find what's best for the patients.

scholarly journals Yogic Discipline in an individual human life

2021 ◽  
Vol 3 (4) ◽  
pp. 197-205
Author(s):  
Dharmalingam T.S ◽  
Balachandran P
Keyword(s):  
Human Life ◽  
Circulatory System ◽  
Vital Role ◽  
The Body ◽  
Self Control ◽  
Modern World ◽  
Breathing Exercise ◽  
Peace Of Mind ◽  
Self Confidence ◽  
Five Elements

In the modern world, the yoga plays a vital role in human life. To realise the truth and meaning of life, one has to practice yogic discipline in everyday living. The human body is made up of five elements such as akash, air, fire, water and earth. An air plays a very important role to survive by providing life energy. Everyday practice of pranayama would help in regulating respiratory system (Breathing exercise) as well as circulatory system. The physical exercises regulate the circulation of blood, heat, air in the body. The practice of asana would help in bringing flexibility in our muscular system so as to enhance the meditation process. The practice of meditation gives peace of mind and improves integirity. The practice of yoga will improve self-confidence, self-control, speaking truth, tolerance and social virtues. Each and every individual should practice yoga, asanas, meditation and do self-analysis exercises such as analysis of thoughts, moralisation of desires, nutralisation of anger and eradication of worries. This would help to bring hormoney between body and mind, habit and wisdom, self and society. Purpose and method and will and nature.

scholarly journals The The diversity and abundance of Hymenoptera insects on tidal swamp rice field in Indragiri Hilir District, Indonesia

2020 ◽  
Vol 21 (3) ◽  
Author(s):  
ZAHLUL IKHSAN ◽  
HIDRAYANI ◽  
YAHERWANDI ◽  
HASMIANDY HAMID
Keyword(s):  
Species Diversity ◽  
Rice Field ◽  
Diversity Index ◽  
Human Life ◽  
Similarity Index ◽  
Pitfall Trap ◽  
Vital Role ◽  
Tidal Swamp ◽  
Abundance And Diversity ◽  
Number Of Individuals

Abstract. Ikhsan Z, Hidrayani, Yaherwandi, Hamid H. 2020. The diversity and abundance of Hymenoptera insects on tidal swamp rice field in Indragiri Hilir District, Indonesia. Biodiversitas 21: 1020-1026. Hymenoptera is one of the four largest insect orders and it plays a vital role in human life as pollinators, parasitoids, and predators. Hymenoptera parasitoids are particularly important as agents of biological control of pest. The objective of this research was to study the diversity and abundance of Hymenoptera on tidal swamp rice field in Indragiri Hilir District, Riau Province, Indonesia. Samplings were conducted in 3 sub-districts of rice production centers, namely Batang Tuaka, Keritang and Reteh, using four trapping techniques (i.e. insect net, malaise trap, pitfall trap, and yellow pan trap). Shannon diversity index (H '), Krebs evenness index (E), and Jaccard similarity index (Is) were calculated. We found 4,701 individuals consisting of 39 families and 319 species of Hymenoptera at the three studied areas. Tidal swamp rice in Indragiri Hilir District had a high species diversity of Hymenoptera parasitoids and Hymenoptera predators, but a moderate species diversity of Hymenoptera pollinators. Species diversity and evenness of Hymenoptera parasitoids and predators were higher in Keritang than in Batang Tuaka and Reteh. The families of Formicidae, Braconidae, Ichneumonidae, and Scelionidae had the highest number of species, while Formicidae, Scelionidae, Diapriidae, and Braconidae had the highest number of individuals. Based on these findings, the abundance and diversity of Hymenoptera insects in Indragiri Hilir District have the potentials to be developed as biological agents to control pests on tidal swamp rice in this area.

scholarly journals Role of media in disaster preparedness: some case studies from calamity prone Odisha

2021 ◽  
Vol 331 ◽  
pp. 04010
Author(s):  
Fakira Mohan Nahak
Keyword(s):  
Case Studies ◽  
Disaster Preparedness ◽  
Human Life ◽  
Geographical Location ◽  
Vital Role ◽  
Indian State ◽  
The Media ◽  
The Government ◽  
Cyclonic Storms

Odisha is a natural disaster prone state. Its geographical location contributes a lot for the disasters. The eastern Indian state has a 480 Kilometre long coastline. The Bay of Bengal which is the house of cyclonic storms is the major contributor for the calamities in the state. From time immemorial till today Odisha has been facing hundreds of calamities in the form of cyclones, floods and famines. It is a regular phenomenon that in the period of September to December every year Odisha faces varieties of cyclones. These affect human life, properties and agriculture to the maximum extent. After the super cyclone of 1999 the government became sensitive so also the media. In these two decades Odisha media has played a vital role in creating awareness about the disasters and helped people in displacement and rehabilitation. In recent pasts media helped the Government in reaching the “Zero Casualty” target. The role of media not only limited to this, even post-disasters it followed the condition of people and their lives. The researcher takes some case studies of different disasters and their handling by media. Also tries to find out the people’s perception about media in disaster preparedness and management.

scholarly journals Strengthening the WHO in the pandemic era by removing a persistent structural defect in financing

2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Nkuchia M. M’ikanatha ◽  
David P. Welliver
Keyword(s):  
Structural Defect ◽  
Financial Support ◽  
Structural Integrity ◽  
Human Life ◽  
Vital Role ◽  
Economic Stability ◽  
Undue Influence ◽  
Global Response ◽  
Member States ◽  
Financing Mechanism

Abstract Background The WHO’s success in its vital role is constrained by inadequate financial support from member states and overreliance on earmarked voluntary contributions, which erodes autonomy. The agency’s broad functions, including coordination among 194 members, cannot be performed by any other entity. However, despite experts’ well-articulated concerns that the agency’s legitimacy and authority in global health matters have been undermined, a decades-long freeze on member assessments means that WHO priorities are disproportionately influenced by a few powerful donors. A structural defect To overcome inertia in addressing well-known limitations, it may be helpful to consider the weaknesses in WHO’s financing mechanism as a persistent structural defect. This perspective strengthens the focus on corrections needed to remove the defect. In our view, the main features of the structural defect are the self-imposed constraints that foster the perception—if not the reality—that the agency’s legitimacy is compromised. These constraints include WHO’s inadequate level of financing; lack of direct control over 80% of its funds; and unbalanced participation, such that over 60% of financing originates from only 9 donors. With renewed commitment, however, member countries can remove these constraints. Removing the structural defect To meaningfully strengthen structural integrity of the financing mechanism, restore WHO’s autonomy, and minimize concerns about wealthy-donor supremacy, it will be necessary to define specific requirements and implement restrictions on financial contributions. We make five recommendations, including tripling total financing; ensuring that 70% or more of financial support derives from member assessments; limiting contributions from individual members to a maximum of 4% of total WHO financing; and limiting donations from individual partners to a maximum of 3% of total WHO financing (1% for earmarked donations). Although some might consider these measures impractical, they are justified by the magnitude of the crises the world faces, by member states’ increased economic strength in recent decades, and by the importance of shielding the WHO’s financing structure from perceived neocolonialism. This necessary step calls for an adjustment of priorities: the higher level of assessed contribution—from nearly all members regardless of wealth—required to reach the proposed targets would still represent only a small fraction of most members’ annual military expenditures. Conclusion The COVID-19 pandemic, with its devastating toll on human life and global economic stability, presents an opportunity for reflection and refocusing. Realigning WHO’s financial structure to its founders’ vision, as proposed here, would likely safeguard both the agency’s autonomy and member states’ trust, while alleviating concerns about undue influence from powerful donors. Removing the persistent structural defect in financing would empower WHO to lead and coordinate global response to meet the inevitable challenges of the coming decades.

Numerical modeling and experimental verification of the composite material of PA12/HA with parameterized random distribution in selective laser sintering

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Junchao Li ◽  
Yanan Yang ◽  
Ze Zhao ◽  
Ran Yan
Keyword(s):  
Composite Material ◽  
Random Distribution ◽  
Mechanical Performance ◽  
Selective Laser Sintering ◽  
Laser Sintering ◽  
Vital Role ◽  
Physical Parameters ◽  
Fe Model ◽  
Content Type ◽  
Stress Changes

Purpose The purpose of this study is to establish a finite element (FE) model with the random distribution of the Nylon12/hydroxyapatite (PA12/HA) composite material in selective laser sintering (SLS) process for considering the material anisotropy, which aims to obtain the law of temperature and stress changes in PA12/HA sintering. Design/methodology/approach By using python script in Abaqus, the FE model is established in which the two materials are randomly distributed and are assigned to their intrinsic temperature-dependent physical parameters. Molten pool sizes at various process parameters were evaluated in terms of numerical simulation and scanning electron microscope analysis, identifying a good agreement between them. Evaluation of temperature and stress distribution under the condition of different HA contents was also conducted. Findings It shows that the uneven distribution and quantity of HA powder play a vital role in stress concentration and temperature increase. Additionally, the influence of HA addition on the mechanical performance of SLS-fabricated parts shows that it is conducive to improve compressive strength when the HA ratio is less than 5% because an excess of HA powder tends to bring about a certain amount of microspores resulting in a decrease in part density. Originality/value The FE model of the PA12/HA composite material with parameterized random distribution in SLS can be applied in other similar additive manufacturing technologies. It provides a feasible guideline for the numerical analysis of properties of composite materials.

scholarly journals Deep Learning-Based Maximum Temperature Forecasting Assisted with Meta-Learning for Hyperparameter Optimization

Atmosphere ◽  
2020 ◽  
Vol 11 (5) ◽  
pp. 487 ◽  
Author(s):  
Trang Thi Kieu Tran ◽  
Taesam Lee ◽  
Ju-Young Shin ◽  
Jong-Suk Kim ◽  
Mohamad Kamruzzaman
Keyword(s):  
Neural Network ◽  
Time Series ◽  
Deep Learning ◽  
Short Term Memory ◽  
Human Life ◽  
Time Series Prediction ◽  
Vital Role ◽  
Maximum Temperature ◽  
Hyperparameter Optimization ◽  
Meta Learning

Time series forecasting of meteorological variables such as daily temperature has recently drawn considerable attention from researchers to address the limitations of traditional forecasting models. However, a middle-range (e.g., 5–20 days) forecasting is an extremely challenging task to get reliable forecasting results from a dynamical weather model. Nevertheless, it is challenging to develop and select an accurate time-series prediction model because it involves training various distinct models to find the best among them. In addition, selecting an optimum topology for the selected models is important too. The accurate forecasting of maximum temperature plays a vital role in human life as well as many sectors such as agriculture and industry. The increase in temperature will deteriorate the highland urban heat, especially in summer, and have a significant influence on people’s health. We applied meta-learning principles to optimize the deep learning network structure for hyperparameter optimization. In particular, the genetic algorithm (GA) for meta-learning was used to select the optimum architecture for the network used. The dataset was used to train and test three different models, namely the artificial neural network (ANN), recurrent neural network (RNN), and long short-term memory (LSTM). Our results demonstrate that the hybrid model of an LSTM network and GA outperforms other models for the long lead time forecasting. Specifically, LSTM forecasts have superiority over RNN and ANN for 15-day-ahead in summer with the root mean square error (RMSE) value of 2.719 (°C).

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