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Ankle instability can describe various impairments, including perceived instability (PI), mechanical instability (MI), and recurrent sprains (RSs), alone or combined. To examine the prevalence of 8 ankle impairment subgroups and their effect on neuromuscular performance in prerecruitment combat soldiers. Cross-sectional study. Military infantry basic training base. A total of 364 infantry male combat soldiers entering basic training (aged 18-21 years). Participants were assessed for PI (via the Cumberland Ankle Instability Tool), MI (using the Anterior Drawer Test and Medial Talar Tilt Test), and RSs (based on history) of their dominant and nondominant legs. Injuries were categorized in 8 subgroups: PI, RSs, PI + RSs, MI, PI + MI, MI + RSs, PI + MI + RSs, and none. Participants were screened for neuromuscular performance (dynamic postural balance, proprioceptive ability, hopping agility, and triceps surae muscle strength) during the first week of military basic training. For the dominant and nondominant legs, RSs were reported by 18.4% (n = 67) and 20.3% (n = 74) of the participants, respectively; PI was reported by 27.1% (n = 99) and 28.5% (n = 104) of the participants, respectively; and MI was seen in 9.9% (n = 36) and 8.5% (n = 31) of the participants, respectively. A 1-way analysis of variance showed differences in the mean proprioceptive ability scores (assessed using the Active Movement Extent Discrimination Apparatus) of all subgroups with impairments in both the dominant and nondominant legs (F = 6.943, η2 = 0.081, P < .001 and F = 7.871, η2 = 0.091, P < .001, respectively). Finally, differences were found in the mean muscle strength of subgroups with impairment in the nondominant leg (F = 4.884, η2 = 0.056, P = .001). A high prevalence of ankle impairments was identified among participants who exhibited reduced abilities in most neuromuscular assessments compared with those who did not have impairments. Moreover, participants with 1 impairment (PI, MI, or RSs) exhibited different neuromuscular performance deficits than those with >1 impairment.

Biofuels made from biomass and waste residues will largely contribute to United States’ 2050 decarbonization goal in the aviation sector. While cellulosic biofuels have the potential fuel performance equivalent to petroleum-based jet fuel, the biofuel industry needs to overcome the supply chain barrier caused by temporal and spatial variability of biomass yield and quality. This study highlights the importance of incorporating spatial and temporal variability during biomass supply chain planning via optimization modeling that incorporates 10 years of drought index data, a primary factor contributing to yield and quality variability. The results imply that the cost of delivering biomass to biorefinery may be significantly underestimated if the multi-year temporal and spatial variation in biomass yield and quality is not captured. For long term sustainable biorefinery operations, the industry should optimize supply chain strategy by studying the variability of yield and quality of biomass in their supply sheds.

Global climate change can increase carbon dioxide (CO2) emissions in the environment. The mangrove ecosystem is one of the main ecosystems that have a role in mitigating climate change as carbon sinks and stores. Mangroves absorb CO2 during photosynthesis, then convert it into carbohydrates by storing it in biomass. This study aims to determine the mangrove ecosystem’s total biomass, carbon stock, and CO2 sequestration in Anambas islands marine tourism park. The novelty of this research is conducted in conservation areas with minimal potential for land loss so that they can be used as monitoring in the following years. In addition, carbon stock assessment is carried out using allometric equations to obtain Above Ground Biomass (AGB) and Below Ground Biomass (BGB) values so as not to damage the existing mangrove ecosystem. The assessment of total biomass and carbon stock was carried out at 12 stations around Siantan and Jemaja islands using the line transect method. The species of mangrove and diameter breast high (DBH) were measured in each plot with a transect size of 10x10 m. The biomass calculation was carried out to provide information on carbon stock and converted it to get the data of Carbon stocks and estimates of CO2 sequestration. The results showed that the mangrove ecosystem in the Anambas Islands Marine Tourism Park has a biomass of 574.73 tons/ha, an estimated carbon stock of 270.12 ton/ha, and CO2 sequestration of 990.45 ton/ha. The mangrove ecosystem spread over the Anambas Islands Marine Tourism Park is 766.32 Ha, so that it can store carbon reserves of 206,998.39 Ton C. As a conservation area, it is necessary to be sustainably managed to protect the existence of the mangrove ecosystem and increase the carbon stock in the future. Climate change mitigation may be achieved by reducing carbon emission levels and maintaining the mangrove ecosystem services as carbon sinks and sequestration.

We describe the deployment and first tests on sky of CONCERTO, a large field-of-view (18.6 arc-min) spectral-imaging instrument. The instrument operates in the range 130–310 GHz from the APEX 12-metres telescope located at 5100 m a.s.l. on the Chajnantor plateau. Spectra with R= ν / Δ ν ≤ 300 are obtained using a fast (2.5 Hz mechanical frequency) Fourier Transform Spectrometer (FTS), coupled to a continuous dilution cryostat with a base temperature of 60 mK. Two 2152-pixels arrays of Lumped Element Kinetic Inductance Detectors (LEKID) are installed in the cryostat that also contains the cold optics and the front-end electronics. CONCERTO, installed in April 2021, generates more than 20k spectra per second during observations. We describe the final development phases, the installation and the first results obtained on sky.

Tyres are a very important component of a motorcycle. Not only vehicle driving components, tyres also play a role in safety, passenger comfort, fuel consumption efficiency, endurance components of car legs and so forth. So, the condition of the tyre must receive special attention from the owner of a motorized vehicle. When riding on a motorcycle, tyre leakage is one of the problems that is often encountered. Not only because of sharp objects, tyres can also leak due to several other reasons. If problems are not immediately sought, leaks in tyres can cause loss of control, endangering the safety of motorists and other road users. And the place and timing of leakage events that cannot be predicted are often a scourge for motorists. After a leak, motorists, especially motorcycle riders, are very dependent on the existence of patched tyre entrepreneurs. With helps from IoT application based in advance, the design of this tool will be an opportunity for tyre patch entrepreneurs to be able to \"Pick Up the Ball\" to every customer / driver who has a leak. The design of this tool is quite concise and integrated thru Programmable Logic Control (PLC) with each main component making easier for entrepreneurs for patching tyres and can reduce downtime repair / replacement of the tyre.

In this paper we propose a multi-objective, mixed integer linear programming model to design and manage the supply chain for biofuels. This model captures the trade-offs that exist between costs, environmental and social impacts of delivering biofuels. The in-bound supply chain for biofuel plants relies on a hub-and-spoke structure which optimizes transportation costs of biomass. The model proposed optimizes the CO 2 emissions due to transportation-related activities in the supply chain. The model also optimizes the social impact of biofuels. The social impacts are evaluated by the number of jobs created. The multi-objective optimization model is solved using an augmented ϵ -constraint method. The method provides a set of Pareto optimal solutions. We develop a case study using data from the Midwest region of the USA. The numerical analyses estimates the quantity and cost of cellulosic ethanol delivered under different scenarios generated. The insights we provide will help policy makers design policies which encourage and support renewable energy production.

The biomass supply chain is one of the most critical elements of large-scale bioenergy production and in many cases a key barrier for procuring initial funding for new developments on specific energy crops. Most productions rely on complex transforming chains linked to feed and food markets. The term ‘supply chain’ covers various aspects from cultivation and harvesting of the biomass, to treatment, transportation, and storage. After energy conversion, the product must be delivered to final consumption, whether it is in the form of electricity, heat, or more tangible products, such as pellets and biofuels. Effective supply chains are of utmost importance for bioenergy production, as biomass tends to possess challenging seasonal production cycles and low mass, energy and bulk densities. Additionally, the demand for final products is often also dispersed, further complicating the supply chain. The goal of this paper is to introduce key components of biomass supply chains, examples of related modeling applications, and if/how they address aspects related to environmental metrics and management. The paper will introduce a concept of integrated supply systems for sustainable biomass trade and the factors influencing the bioenergy supply chain landscape, including models that can be used to investigate the factors. The paper will also cover various aspects of transportation logistics, ranging from alternative modal and multi-modal alternatives to introduction of support tools for transportation analysis. Finally gaps and challenges in supply chain research are identified and used to outline research recommendations for the future direction in this area of study.

This study aims to analyze the selection of the A.P. Pettarani Elevated Toll Road route. Data collection was carried out by distributing questionnaires and reviewing respondents to describe the travel characteristics of A.P. Pettarani Elevated Toll Road respondents using Ms. Excel to process the data. The results showed that in the selection of A.P. Pettarani elevated toll road to the airport, and the dominant respondents entered the toll road through the Bakti road where the traveler was aged 50-59 years old, with the last education being a bachelor’s degree, working as an officer, with an income of IDR 4.5M-5.5M. The travel costs incurred are IDR20-30K, travel distance of 7-11 km, travel time of 10-20 minutes, and travel frequency of 15-20 times a month to travel for work/business. In the selection of travel routes using the A.P. Pettarani elevated toll road to the port, the dominant respondents entered the overpass toll road through the Rappocini road, where the traveler was aged 20-29 years old, with the last education being a bachelor’s degree, working as an officer, with an income of IDR 4.5M-5.5M. The travel costs incurred are IDR20-30K, travel distance of 7-11 km, travel time of 20-30 minutes, and travel frequency of 15-20 times to travel for work/business.

Strains of Escherichia coli serotype O78 are associated with many diseases, including invasive infections, in humans and farm animals. The clonal relationship between strains from different hosts is therefore important for assessing the risk of zoonotic infections. Here we propose a multilocus sequence typing scheme for E. coli, based on six housekeeping genes. Preliminary, but significant, results indicate that clonal division in E. coli O78 strains is host independent, and closely related clones reside in different hosts. There was a positive correlation between virulence and clonal origin.

The New IRAM KID Arrays 2 (NIKA2) consortium has just finished installing and commissioning a millimetre camera on the IRAM 30-m telescope. It is a dual-band camera operating with three frequency-multiplexed kilo-pixels arrays of lumped element kinetic inductance detectors (LEKID) cooled at 150 mK, designed to observe the intensity and polarisation of the sky at 260 and 150 GHz (1.15 and 2 mm). NIKA2 is today an IRAM resident instrument for millimetre astronomy, such as intracluster medium from intermediate to distant clusters and so for the follow-up of Planck satellite detected clusters, high redshift sources and quasars, early stages of star formation and nearby galaxies emission. We present an overview of the instrument performance as it has been evaluated at the end of the commissioning phase.