IoT-Ready Temperature Probe for Smart Monitoring of Forest Roads

Currently, we are experiencing an ever-increasing demand for high-quality transportation in the distinctive natural environment of forest roads, which can be characterized by significant weather changes. The need for more effective management of the forest roads environment, a more direct, rapid response to fire interventions and, finally, the endeavor to expand recreational use of the woods in the growth of tourism are among the key factors. A thorough collection of diagnostic activities conducted on a regular basis, as well as a dataset of long-term monitored attributes of chosen sections, are the foundations of successful road infrastructure management. Our main contribution to this problem is the design of a probe for measuring the temperature profile for utilization in stand-alone systems or as a part of an IoT solution. We have addressed the design of the mechanical and electrical parts with emphasis on the accuracy of the sensor layout in the probe. Based on this design, we developed a simulation model, and compared the simulation results with the experimental results. An experimental installation was carried out which, based on measurements to date, confirmed the proposed probe meets the requirements of practice and will be deployed in a forest road environment.

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Toe and Flow

Journal of the American Podiatric Medical Association ◽

10.7547/1000342 ◽

2010 ◽

Vol 100 (5) ◽

pp. 342-348 ◽

Cited By ~ 18

Author(s):

Lee C. Rogers ◽

George Andros ◽

Joseph Caporusso ◽

Lawrence B. Harkless ◽

Joseph L. Mills ◽

...

Keyword(s):

Vascular Surgery ◽

Flow Model ◽

Models Of Care ◽

Effective Management ◽

Key Factors ◽

Skill Sets ◽

Foot Complications ◽

Short And Long Term ◽

Interdisciplinary Effort

At the end of an anatomical peninsula, the foot in diabetes is prone to short- and long-term complications involving neuropathy, vasculopathy, and infection. Effective management requires an interdisciplinary effort focusing on this triad. Herein, we describe the key factors leading to foot complications and the critical skill sets required to assemble a team to care for them. Although specific attention is given to a conjoined model involving podiatric medicine and vascular surgery, the so-called toe and flow model, we further outline three separate programmatic models of care—basic, intermediate, and center of excellence—that can be implemented in the developed and developing world. (J Am Podiatr Med Assoc 100(5): 342–348, 2010)

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Long-term food waste management in Phnom Penh utilizing a system dynamics modeling approach

Environmental Engineering Research ◽

10.4491/eer.2020.603 ◽

2020 ◽

Vol 27 (1) ◽

pp. 200603-0

Author(s):

Thanwadee Chinda ◽

Sireiratana Thay

Keyword(s):

Waste Management ◽

Food Waste ◽

Waste To Energy ◽

Food Wastes ◽

Key Factors ◽

Dynamics Model ◽

Phnom Penh ◽

Simulation Results ◽

Term Management

Phnom Penh has a high number of people. With more people, it is expected that food waste issues will be severe. To properly manage food waste, it is necessary to identify the key factors affecting food waste management, and examine the interactions among those key factors to effectively plan for long-term management. This study develops a dynamics model of food waste management, considering vegetables as the main waste, to examine the trends of food waste in Phnom Penh and plan for long-term management. The developed dynamics model considers two types of waste, household and retailer wastes. The simulation results reveal that most food wastes are from households. They are mainly from preparation processes and inappropriate packing sizes. The results show that with a smaller percentage of waste in preparation processes, food wastes going to a landfill decrease. The use of smaller-size packs (250 g and 350 g) also helps to minimize food wastes. The simulation results also suggest the use of biodigesters, to convert food waste to energy and reduce landfill waste in the long term. Local communities, local authorities, and governments can use this study to plan for long-term food waste management, to reduce food waste and mitigate landfill problems.

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Secular stagnation in the modern world

Voprosy Ekonomiki ◽

10.32609/0042-8736-2018-11-125-141 ◽

2018 ◽

pp. 125-141 ◽

Cited By ~ 3

Author(s):

S. M. Drobyshevsky ◽

P. V. Trunin ◽

A. V. Bozhechkova

Keyword(s):

Public Debt ◽

Capital Accumulation ◽

Technological Development ◽

Japanese Economy ◽

Modern World ◽

Key Factors ◽

Destruction Process ◽

Secular Stagnation ◽

The Impact

The paper studies the factors of secular stagnation. Key factors of long-term slowdown in economic growth include the slowdown of technological development, aging population, human capital accumulation limits, high public debt, creative destruction process violation etc. The authors analyze key theoretical aspects of long-term stagnation and study the impact of these factors on Japanies economy. The authors conclude that most of the factors have significant influence on the Japanese economy for recent decades, but they cannot explain all dynamics. For Russia, on the contrary, we do not see any grounds for considering the decline in the economy since 2013 as an episode of secular stagnation.

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Update on the Boundaries of the Curly Birch Range

Lesnoy Zhurnal (Forestry Journal) ◽

10.37482/0536-1036-2020-6-9-21 ◽

2020 ◽

pp. 9-21

Author(s):

L.V. Vetchinnikova ◽

◽

A.F. Titov ◽

◽

Keyword(s):

Population Size ◽

Natural Populations ◽

Forest Tree ◽

Published Data ◽

Population Approach ◽

Key Factors ◽

History Of ◽

Individual Trees ◽

Karelian Birch

The article reports on the application of the best known principles for mapping natural populations of curly (Karelian) birch Betula pendula Roth var. carelica (Mercklin) Hämet-Ahti – one of the most appealing representatives of the forest tree flora. Relying on the synthesis and analysis of the published data amassed over nearly 100 years and the data from own full-scale studies done in the past few decades almost throughout the area where curly birch has grown naturally, it is concluded that its range outlined in the middle of the 20th century and since then hardly revised is outdated. The key factors and reasons necessitating its revision are specified. Herewith it is suggested that the range is delineated using the population approach, and the key element will be the critical population size below which the population is no longer viable in the long term. This approach implies that the boundaries of the taxon range depend on the boundaries of local populations (rather than the locations of individual trees or small clumps of trees), the size of which should not be lower than the critical value, which is supposed to be around 100–500 trees for curly birch. A schematic map of the curly birch range delineated using this approach is provided. We specially address the problem of determining the minimum population size to secure genetic diversity maintenance. The advantages of the population approach to delineating the distribution range of curly birch with regard to its biological features are highlighted. The authors argue that it enables a more accurate delineation of the range; shows the natural evolutionary history of the taxon (although it is not yet officially recognized as a species) and its range; can be relatively easily updated (e.g. depending on the scope of reintroduction); should be taken into account when working on the strategy of conservation and other actions designed to maintain and regenerate this unique representative of the forest tree flora.

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Hallucinogen Use in College Students: Current Trends and Consequences of Use

Current Psychopharmacologye ◽

10.2174/2211556009666200311140404 ◽

2020 ◽

Vol 9 (2) ◽

pp. 115-127

Author(s):

Lena S. Jia ◽

Jessica A. Gold

Keyword(s):

College Students ◽

Drug Class ◽

Positive Effects ◽

Current Trends ◽

College Population ◽

Therapy Studies ◽

Recreational Use ◽

Perception Disorder ◽

Review Current

Hallucinogens are a drug class that is growing in popularity with college students. Recent experimental trends, such as microdosing, have helped promote the use of hallucinogens on campus, and students may be tempted to use these substances due to their beliefs about the drugs’ positive effects on mood. Although hallucinogens are not currently an established form of medical therapy, studies have shown that they have significant benefits as adjunctive treatments for psychological disorders. However, the recreational use of these drugs in college students often occurs in uncontrolled doses or with drug mixing, which is often dangerous. Furthermore, students with mental health disorders may have their symptoms masked by hallucinogenic drug use, which could delay treatment and have serious consequences. Long-term use of these drugs may also result in tolerance or hallucinogen persisting perception disorder. This article attempts to review current information regarding hallucinogen use and how it applies to the college population.

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Problems of the modern society and ethnic separatism in North-Eastern India (NER)

RUDN Journal of World History ◽

10.22363/2312-8127-2019-11-4-315-328 ◽

2019 ◽

Vol 11 (4) ◽

pp. 315-328

Author(s):

Sergey Aleksandrovich Mikhailov

Keyword(s):

Modern Society ◽

New Delhi ◽

Eastern India ◽

Key Factors ◽

Indian Government ◽

Systematic Analysis ◽

Resource Search ◽

North Eastern ◽

North Eastern India

This article deals with the issue of North-Eastern India, its current social and economic problems in the context of long-term demonstrations of the ethnic separatism. The main aim of the research implies systematic analysis and identification of key factors and reasons perpetuating separatism in NER as well as resource search which determines Indian strategy in solving this problem. The first part of the article is devoted to separatism peculiarities in the region which remains withdrawn and underexplored in many respects. Apart from this, the author provides a quite detailed analysis of negative mentality of the certain part of NER population which justifiably reproaches New Delhi for “discrimination” and inability to solve many problems of the region. Then the author paid the detailed attention to these problems of NER modern society (ethnic, demographic, economic, transport, social etc.) as well as measures undertaken by the Indian government for its settlement.

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Spectrum Based Power Management for Congested IoT Networks

Sensors ◽

10.3390/s21082681 ◽

2021 ◽

Vol 21 (8) ◽

pp. 2681

Author(s):

Kedir Mamo Besher ◽

Juan Ivan Nieto-Hipolito ◽

Raymundo Buenrostro-Mariscal ◽

Mohammed Zamshed Ali

Keyword(s):

Power Management ◽

Network Performance ◽

Channel Allocation ◽

Battery Life ◽

Packet Routing ◽

Data Packets ◽

Increasing Demand ◽

Iot Devices ◽

Set Up

With constantly increasing demand in connected society Internet of Things (IoT) network is frequently becoming congested. IoT sensor devices lose more power while transmitting data through congested IoT networks. Currently, in most scenarios, the distributed IoT devices in use have no effective spectrum based power management, and have no guarantee of a long term battery life while transmitting data through congested IoT networks. This puts user information at risk, which could lead to loss of important information in communication. In this paper, we studied the extra power consumed due to retransmission of IoT data packet and bad communication channel management in a congested IoT network. We propose a spectrum based power management solution that scans channel conditions when needed and utilizes the lowest congested channel for IoT packet routing. It also effectively measured power consumed in idle, connected, paging and synchronization status of a standard IoT device in a congested IoT network. In our proposed solution, a Freescale Freedom Development Board (FREDEVPLA) is used for managing channel related parameters. While supervising the congestion level and coordinating channel allocation at the FREDEVPLA level, our system configures MAC and Physical layer of IoT devices such that it provides the outstanding power utilization based on the operating network in connected mode compared to the basic IoT standard. A model has been set up and tested using freescale launchpads. Test data show that battery life of IoT devices using proposed spectrum based power management increases by at least 30% more than non-spectrum based power management methods embedded within IoT devices itself. Finally, we compared our results with the basic IoT standard, IEEE802.15.4. Furthermore, the proposed system saves lot of memory for IoT devices, improves overall IoT network performance, and above all, decrease the risk of losing data packets in communication. The detail analysis in this paper also opens up multiple avenues for further research in future use of channel scanning by FREDEVPLA board.

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High coverage COVID-19 mRNA vaccination rapidly controls SARS-CoV-2 transmission in long-term care facilities

Communications Medicine ◽

10.1038/s43856-021-00015-1 ◽

2021 ◽

Vol 1 (1) ◽

Author(s):

Pablo M. De Salazar ◽

Nicholas B. Link ◽

Karuna Lamarca ◽

Mauricio Santillana

Keyword(s):

Long Term Care ◽

Mitigation Strategies ◽

Key Factors ◽

Modeling Framework ◽

High Coverage ◽

Term Care ◽

Early Effect ◽

Care Facilities ◽

The Relationship

Abstract Background Residents of Long-Term Care Facilities (LTCFs) represent a major share of COVID-19 deaths worldwide. Measuring the vaccine effectiveness among the most vulnerable in these settings is essential to monitor and improve mitigation strategies. Methods We evaluate the early effect of the administration of BNT162b2-mRNA vaccine to individuals older than 64 years residing in LTCFs in Catalonia, Spain. We monitor all the SARS-CoV-2 documented infections and deaths among LTCFs residents once more than 70% of them were fully vaccinated (February–March 2021). We develop a modeling framework based on the relationship between community and LTCFs transmission during the pre-vaccination period (July–December 2020). We compute the total reduction in SARS-CoV-2 documented infections and deaths among residents of LTCFs over time, as well as the reduction in the detected transmission for all the LTCFs. We compare the true observations with the counterfactual predictions. Results We estimate that once more than 70% of the LTCFs population are fully vaccinated, 74% (58–81%, 90% CI) of COVID-19 deaths and 75% (36–86%, 90% CI) of all expected documented infections among LTCFs residents are prevented. Further, detectable transmission among LTCFs residents is reduced up to 90% (76–93%, 90% CI) relative to that expected given transmission in the community. Conclusions Our findings provide evidence that high-coverage vaccination is the most effective intervention to prevent SARS-CoV-2 transmission and death among LTCFs residents. Widespread vaccination could be a feasible avenue to control the COVID-19 pandemic conditional on key factors such as vaccine escape, roll out and coverage.

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Understanding the Processes Causing the Early Intensification of Hurricane Dorian through an Ensemble of the Hurricane Analysis and Forecast System (HAFS)

Atmosphere ◽

10.3390/atmos12010093 ◽

2021 ◽

Vol 12 (1) ◽

pp. 93

Author(s):

Andrew Hazelton ◽

Ghassan J. Alaka ◽

Levi Cowan ◽

Michael Fischer ◽

Sundararaman Gopalakrishnan

Keyword(s):

Tropical Cyclone ◽

Large Scale ◽

Early Stage ◽

Early Period ◽

Storm Track ◽

Key Factors ◽

Complex Interplay ◽

Forecast System ◽

Model Initialization

The early stages of a tropical cyclone can be a challenge to forecast, as a storm consolidates and begins to grow based on the local and environmental conditions. A high-resolution ensemble of the Hurricane Analysis and Forecast System (HAFS) is used to study the early intensification of Hurricane Dorian, a catastrophic 2019 storm in which the early period proved challenging for forecasters. There was a clear connection in the ensemble between early storm track and intensity: stronger members moved more northeast initially, although this result did not have much impact on the long-term track. The ensemble results show several key factors determining the early evolution of Dorian. Large-scale divergence northeast of the tropical cyclone (TC) appeared to favor intensification, and this structure was present at model initialization. There was also greater moisture northeast of the TC for stronger members at initialization, favoring more intensification and downshear development of the circulation as these members evolved. This study highlights the complex interplay between synoptic and storm scale processes in the development and intensification of early-stage tropical cyclones.

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