human interference
Recently Published Documents


TOTAL DOCUMENTS

161
(FIVE YEARS 52)

H-INDEX

16
(FIVE YEARS 1)

2022 ◽  
Vol 103 (1) ◽  
Author(s):  
Juan I. Zanón Martínez ◽  
Javier Seoane ◽  
Marcella J. Kelly ◽  
José Hernán Sarasola ◽  
Alejandro Travaini

Author(s):  
Hari Govinda Rao Chukka ◽  
Sampath Dakshina Murthy Achanta

The idea of the circular economy is gaining steam in academia through the green economics of human resources policies in Asia. A high performance model delivers superior outcomes but does not deter praiseworthy professors from biased human interference. Using the computerized-based geometric performance base incentive model (CGPBI) is particularly beneficial in encouraging faculty who have achieved superior outcomes in all areas of science, academia, and other contributions. To fill this gap, the author proposed a geometric hybrid reward policy model that includes a number of fictitious variables such as topic tolerance, the effects of subject matter, and the average outcome across all subjects. This model uses Python to construct a standardized framework to gather data on the success of faculty. It provides a robust indication of comparative success and motivates workers to achieve more transparent performance outcomes. The author proposes the use of a multi-source assessment (MSA) to evaluate the faculty's annual results.


Author(s):  
Mrs. Kalpana V Prajapati

Abstract: Nowadays the crime has raged to a new height and providing security frames is the most important part of life. When it comes to word security first thing that comes in the mind is house. Providing security to the house gets much easier with IOT sensors. This project’s aim is to provide security to house without any human interference. This system also focuses on not only detection of some unauthorized access, but also prevents the house from unauthorized access using sensors. In the past technology the system just used to detect the unauthorized access in the house or bank etc., but in this system it also prevents the house from thieves. Keywords: Internet of things (IOT), Arduino, Sensors, Security, Node MCU, Relay Module


2021 ◽  
Author(s):  
◽  
Luke Harrington

<p>Understanding how the climate system will respond to ongoing human interference is a question of profound societal importance. A significant barrier to quantifying the effect of human activity on the climate system is interpreting how the signal of anthropogenic change can be isolated and distinguished from the background noise of internal variability. An emerging framework in the scientific community is now to investigate signal-to-noise ratios as a more effective measure of the impact of human influence on the climate.  As the cumulative amount of greenhouse gases emitted by the global population continues to increase, emerging (human-induced) signal-to-noise ratios in temperatures are starting to become clear for highly aggregated spatial and temporal scales. However, some other climate phenomena, such as meteorological drought, exhibit a more complex response to anthropogenic forcings. Identifying how further warming will change the characteristics of such phenomena is therefore more difficult, despite the significant policy implications for both climate adaptation and mitigation.  In this thesis, I investigate novel approaches towards separating the relative signal of anthropogenic climate warming from internal variability for these cases of low signal-to-noise ratios. By more effectively understanding the drivers of emergent changes to the climate system, these results help to quantify, and thus communicate, the increasingly damaging effects of human interference on the climate system.</p>


2021 ◽  
Author(s):  
◽  
Luke Harrington

<p>Understanding how the climate system will respond to ongoing human interference is a question of profound societal importance. A significant barrier to quantifying the effect of human activity on the climate system is interpreting how the signal of anthropogenic change can be isolated and distinguished from the background noise of internal variability. An emerging framework in the scientific community is now to investigate signal-to-noise ratios as a more effective measure of the impact of human influence on the climate.  As the cumulative amount of greenhouse gases emitted by the global population continues to increase, emerging (human-induced) signal-to-noise ratios in temperatures are starting to become clear for highly aggregated spatial and temporal scales. However, some other climate phenomena, such as meteorological drought, exhibit a more complex response to anthropogenic forcings. Identifying how further warming will change the characteristics of such phenomena is therefore more difficult, despite the significant policy implications for both climate adaptation and mitigation.  In this thesis, I investigate novel approaches towards separating the relative signal of anthropogenic climate warming from internal variability for these cases of low signal-to-noise ratios. By more effectively understanding the drivers of emergent changes to the climate system, these results help to quantify, and thus communicate, the increasingly damaging effects of human interference on the climate system.</p>


Diversity ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 587
Author(s):  
Ahmed M. Abd-ElGawad ◽  
Abdulaziz M. Assaeed ◽  
Saud L. Al-Rowaily ◽  
Basharat M. Dar ◽  
Jahangir A. Malik

Wetlands are represented in Saudi Arabia in the form of mangrove, sabkha, and wadi (valleys) systems, and these habitats are considered as a sanctuary for biodiversity. The present study aimed to identify different vegetation groups in a wetland site in Wadi Hargan near Alqurainah, Riyadh, Saudi Arabia, and to relate different plant communities and plant diversity to soil moisture, salinity, and other soil properties. Floristic analysis and vegetation structure were investigated within 15 stands along the wadi and were subjected to correlation analysis with soil factors via multivariate analysis. The floristic survey revealed the presence of 111 plant species belonging to 39 families. The most represented families were Asteraceae, Poaceae, Brassicaceae, Caryophyllaceae, and Papilionaceae, which accounted for the largest proportion (55.4%) of the total species. The therophytes were the dominant life form, where they were represented by 46.9% of the total number of species. The application of cluster analysis (TWINSPAN) to the importance value of each species based on the relative cover and density led to the recognition of four plant communities: (A) Phragmites australis—Tamarix nilotica community, (B) Zygophyllum coccineum—Acacia gerrardii community, (C) Lycium shawii—Zygophyllum coccineum community, and (D) Rhazya stricta community. The soil analysis and correlation test revealed significant variations in the content of salinity, moisture, CO3, Cl, SO4, Ca, Mg, and Na among the plant communities. It can be concluded that soil moisture and salinity factors were the fundamental driving forces for plant community structure in the studied wadi. The wadi was moderately grazed, mainly by camels; thereby, the invasive plant Rhazya stricta dominated the central region of the wadi. Also, human interference was observed at the end of the wadi, where some weeds sprouted such as Malva parviflora. The presence of those two rare wetland species, Adiantum capillus-veneris and Ficus salicifolia, in the study area, showed the unique properties of the studied wadi and necessitate an urgent biodiversity conservation action to protect its natural vegetation from overgrazing and human interference.


2021 ◽  
pp. 372-390
Author(s):  
William Flores

This article examines the notions of dark ecology, the Capitalocene, and hyperobjects to delve into a re-reading of Gabriel García Márquez’s One Hundred Years of Solitude and Love in the Time of Cholera that interrogates how those literary works provide valuable ecological awareness for the present era. Additionally, the article explores how Gabo’s works present a global ecological vision that enables the reader to observe a destroyed imaginary world where humanity dies after an ecocatastrophe produced by excessive human interference in the natural world. The novels analyzed are not narratives of an idealized primordial past or a catharsis that immerses us in the natural world to clean our minds from guilty environmental reality; instead, the narratives portray tenets of dark ecology, which attempt to provide a vivid portrayal of an environmental dilemma. The novels can be read through the lens of dark ecology as evidencing closeness to the earth; in them the omnipresent theme of solitude enables the reader to be in tune with nature more than as a mere presentation of an idealized interconnection with the environment. Before delving into the analysis of the novels, the essay provides a review of recent criticism and a brief examination of new developments in ecocritical theory.


2021 ◽  
Vol 15 ◽  
Author(s):  
Fabrizio Grieco ◽  
Briana J. Bernstein ◽  
Barbara Biemans ◽  
Lior Bikovski ◽  
C. Joseph Burnett ◽  
...  

The reproducibility crisis (or replication crisis) in biomedical research is a particularly existential and under-addressed issue in the field of behavioral neuroscience, where, in spite of efforts to standardize testing and assay protocols, several known and unknown sources of confounding environmental factors add to variance. Human interference is a major contributor to variability both within and across laboratories, as well as novelty-induced anxiety. Attempts to reduce human interference and to measure more "natural" behaviors in subjects has led to the development of automated home-cage monitoring systems. These systems enable prolonged and longitudinal recordings, and provide large continuous measures of spontaneous behavior that can be analyzed across multiple time scales. In this review, a diverse team of neuroscientists and product developers share their experiences using such an automated monitoring system that combines Noldus PhenoTyper® home-cages and the video-based tracking software, EthoVision® XT, to extract digital biomarkers of motor, emotional, social and cognitive behavior. After presenting our working definition of a “home-cage”, we compare home-cage testing with more conventional out-of-cage tests (e.g., the open field) and outline the various advantages of the former, including opportunities for within-subject analyses and assessments of circadian and ultradian activity. Next, we address technical issues pertaining to the acquisition of behavioral data, such as the fine-tuning of the tracking software and the potential for integration with biotelemetry and optogenetics. Finally, we provide guidance on which behavioral measures to emphasize, how to filter, segment, and analyze behavior, and how to use analysis scripts. We summarize how the PhenoTyper has applications to study neuropharmacology as well as animal models of neurodegenerative and neuropsychiatric illness. Looking forward, we examine current challenges and the impact of new developments. Examples include the automated recognition of specific behaviors, unambiguous tracking of individuals in a social context, the development of more animal-centered measures of behavior and ways of dealing with large datasets. Together, we advocate that by embracing standardized home-cage monitoring platforms like the PhenoTyper, we are poised to directly assess issues pertaining to reproducibility, and more importantly, measure features of rodent behavior under more ethologically relevant scenarios.


Land ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 767
Author(s):  
Tao Wu ◽  
Peipei Zha ◽  
Mengjie Yu ◽  
Guojun Jiang ◽  
Jianzhen Zhang ◽  
...  

The impact of human interference on the ecological environment has attracted a significant amount of attention. In this study, hemeroby index (HI) was constructed to quantify the degree of human disturbance, and the relationship between HI and landscape pattern index was explored in a newly metropolitan area. The main objectives of this study were to analyze the temporal and spatial characteristics of landscape pattern and human disturbance in the process of urbanization of county-level cities in China, and to explore the relationship between the landscape pattern index and human disturbance under different disturbance intensity. The conclusions showed that: (1) the degree of human interference in the new area is on the rise, with a slow increase from 1980 to 2010, but since 2010, human interference has increased significantly. The diffusion of human disturbance intensity has obvious spatial directivity, spreading from east to west. (2) The impact of human activities on landscape pattern is shown as increasing fragmentation and increasing number of landscape types. With the enhancement of human activities, the heterogeneity and fragmentation of landscape types in the region reach their highest points. With the continuous increase of human activities, on a certain scale, the landscape types will gradually tend to be the same, and the same type of landscape patches will become one piece and tend to be integrated. This phenomenon is particularly obvious at the patch type level. (3) There is an inflection point value between human disturbance and landscape pattern index in landscape or patch type. On both sides of the inflection point value, the landscape pattern parameters and human disturbance have obvious opposite trends. (4) In the low interference range (1 ≤ HI < 4), with the increase of human interference, more heterogeneous structures (shown in the increase of SHDI) are brought to the landscape, there is more landscape fragmentation (shown in the decrease of LPI, CONTRACT, and AI), and the patch shape and landscape structure tend to be complex (shown in the increase of LSI, SQP, ED, and other indexes); in the high interference range (4 ≤ HI ≤ 7), due to human intervention, the increase of LPI, contract, and AI indicates that intense human activities turn the landscape into a broken and scattered structure and tend to be consistent and homogeneous. LSI, SQP, and ED were negatively correlated with HI at this stage, indicating that with the enhancement of human activities, the complexity of landscape shape decreased.


Author(s):  
C. Saraswathy ◽  
S. Sarumathi

Theft is a major cause of violence around the world. Several valuable things are stolen as a result of security issues in the workplace, bank, and home. In previous years, a variety of techniques were used to reduce the risks. Two of these methods are burglar alarms and CCTV recording. However, these methods are inaccurate and disorganized due to a lack of human attention in such processes. Since such a system requires human maintenance to control the data collected by the camera, it presents a greater problem for shop or home owners. The that rate of crime causes people to struggle both financially and emotionally. As a result, there is a need to prevent theft and develop a security system. It has to be simple to use, free of false alarms, human interference-free, and cost-effective. The primary goal of this paper is to serve as both a concise overview and a reference by providing primary knowledge of various techniques used as well as various research opportunities in this field. A variety of methods for identifying the thief using artificial intelligence based on the face and behaviour recognition are demonstrated in this survey.


Sign in / Sign up

Export Citation Format

Share Document