Development of a solar radiation sensor system with pyranometer

<span>Solar energy is a result of the nuclear fusion process in the form of a series of thermonuclear events that occur in the Sun's core. Solar radiation has a significant impact on the lives of all living things on earth. The uses, as mentioned earlier, are when the solar radiation received requires a certain amount and vice versa. As a result, a more accurate instrument of solar radiation is required. A specific instrument is typically used to measure solar radiation parameters. There are four solar radiation parameters: diffusion radiation, global radiation, direct radiation, and solar radiation duration. Thus, it needs to use many devices to measure radiation data. The paper designs to measure all four-radiation data by pyranometer with particular modification and shading device. This design results have a high correlation with a global standard with a value of R=0.73, diffusion with a value of R=0.60 and a sufficiently strong direct correlation with a value of R=0.56. It can be said that the system is much simpler, making it easier to monitor and log the various solar radiation parameters.</span>

A Face Recognition Method in the Internet of Things for Security in Smart Recognition Places

In recent years, the safety constitutes the foremost necessary section of the human life. At this point, the price is that the greatest issue. This technique is incredibly helpful for reducing the price of watching the movement from outside. During this paper, a period of time recognition system is planned which will equip for handling pictures terribly quickly. The most objective of this paper is to safeguard home, workplace by recognizing individuals. The face is that the foremost distinctivea part of human’s body. So, it will replicate several emotions of associate degree Expression. A few years past, humans were mistreatment the non-living things like good cards, plastic cards, PINS, tokens and keys for authentication, and to urge grant access in restricted areas like ISRO, National Aeronautics and Space Administration and DRDO. The most necessary options of the face image are Eyes, Nose and mouth. Face detection and recognition system is simpler, cheaper, a lot of accurate, process. The system under two categories one is face detection and face recognition. Throughout this case, among the paper, the Raspberry Pi single-board computer is also a heart of the embedded face recognition system. Keywords: Raspberry Pi, Face recognition system

Supramolecular assembly of protein building blocks: from folding to function

Several phenomena occurring throughout the life of living things start and end with proteins. Various proteins form one complex structure to control detailed reactions. In contrast, one protein forms various structures and implements other biological phenomena depending on the situation. The basic principle that forms these hierarchical structures is protein self-assembly. A single building block is sufficient to create homogeneous structures with complex shapes, such as rings, filaments, or containers. These assemblies are widely used in biology as they enable multivalent binding, ultra-sensitive regulation, and compartmentalization. Moreover, with advances in the computational design of protein folding and protein–protein interfaces, considerable progress has recently been made in the de novo design of protein assemblies. Our review presents a description of the components of supramolecular protein assembly and their application in understanding biological phenomena to therapeutics.

EXPRESS: Are animates special? Exploring the effects of selective attention and animacy on visual statistical learning

Our visual system is built to extract regularities in how objects within our visual environment appear in relation to each other across time and space (‘visual statistical learning’). Existing research indicates that visual statistical learning is modulated by selective attention. Our attentional system prioritises information that enables behaviour; for example, animates are prioritised over inanimates (the ‘animacy advantage’). The present study examined the effects of selective attention and animacy on visual statistical learning in young adults (N = 284). We tested visual statistical learning of attended and unattended information across four animacy conditions: (i) living things that can self-initiate movement (animals); (ii) living things that cannot self-initiate movement (fruits and vegetables); (iii) non-living things that can generate movement (vehicles); and (iv) non-living things that cannot generate movement (tools and kitchen utensils). We implemented a four-point confidence-rating scale as an assessment of participants’ awareness of the regularities in the visual statistical learning task. There were four key findings. First, selective attention plays a critical role by modulating visual statistical learning. Second, animacy does not play a special role in visual statistical learning. Third, visual statistical learning of attended information cannot be exclusively accounted for by unconscious knowledge. Fourth, performance on the visual statistical learning task is associated with the proportion of stimuli that were named or labelled. Our findings support the notion that visual statistical learning is a powerful mechanism by which our visual system resolves an abundance of sensory input over time.

Framing Land Governance Issues in Indigenous and Settler Media within Canada

This comparative study examines how the framing of Indigenous land governance issues—such as resource extraction activities on Indigenous territory and treaty negotiation—in Indigenous media differs from that in corporate news. Methods of Critical Discourse Analysis were applied to 66 news texts published in 2018 in large corporate newspapers, such as the National Post, and small Indigenous news outlets, such as Eagle Feather News. Researchers found that Indigenous media connected land governance issues to contemporary issues, such as racism and control over child welfare, as well as historical colonialism and Indigenous-Settler relations, while corporate news generally excluded any discussion of these contextual factors. While the main news frame in the Indigenous press was Indigenous people were not consulted, the dominant frame in corporate news was Indigenous peoples have already been adequately consulted. Corporate news discourse valorized Indigenous traditional territory solely based on its presumed “economic value.” By contrast, Indigenous publications offered a counternarrative, one that positioned land and the rest of the natural environment as something that has absolute value, and as indivisible from all living things, including people.

Carl von Linné: The Development of the Idea of Binomial Nomenclature

Due to binomial classification system defined by Carl von Linné, it has been shown that living things that were thought to be independent from each other are actually in a relationship. This "binomial classification" idea corresponds to a leap in the history of human thought. Carl von Linné's original idea is a product of the specific conditions of the period, particularly the renaissance and reform movements and geographical discoveries, rather than an idea he produced alone. These movements are part of a chain of ideas that stretches from antiquity to the Medieval and then to the period called the Enlightenment. The aforementioned transformations generally affected the scientist, albeit indirectly, even in geographies far from Sweden, where Carl von Linné spent most of his life. As such, the binomial classification system stands before us as a result of scientific breakthroughs in central Europe. In this study, it will be tried to be explained by taking the opus magnum of Carl von Linne as an example, taking into account the course of scientific developments, which we can attribute to the European civilization, and the philosophical and social texture.

Forest Fuel Drying, Pyrolysis and Ignition Processes during Forest Fire: A Review

Forest ecosystems perform several functions that are necessary for maintaining the integrity of the planet’s ecosystem. Forest fires are thus a significant danger to all living things. Forest fire fighting is a foreground task for modern society. Forest fire prediction is one of the most effective ways to solve this urgent issue. Modern prediction systems need to be developed in order to increase the quality of prediction; therefore, it is necessary to generalize knowledge about the processes occurring during a fire. This article discusses the key features of the processes prior to forest fuel ignition (drying and pyrolysis) and the ignition itself, as well as approaches to their experimental and mathematical modeling.

The Use of Ruthenium Complexes as Molecular Probes for Non-Canonical DNA

This study considered the preparation of a new DNA binding Ruthenium polypyridyl complex possessing an infrared active nitrile group. The binding abilities of a novel Ruthenium complex, [Ru(TMP)2DPPZ-10-CN], to various forms of DNA—both canonical and non-canonical—were examined by performing multiple DNA titrations. DNA is of great interest as it is the carrier of genetic information for all living things. Damage to DNA can have drastically detrimental effects, so the study of its structure and replication is of great importance. Two non-canonical structures that are important are the G-quadruplex and i-motif which form at the telomeric and regulatory regions of genes, respectively, and have the ability to block telomerase activity and influence transcription. The complex was synthesized by microwave irradiation and purified using a silica column and an ion exchange with Amberlite 402. Six titrations were, then, performed with salmon sperm dsDNA, guanine monophosphate (GMP), G4T4G4, human telomere G-quadruplex, i-motif C5T3, and i-motif C30. The complex was found to favor non-canonical structures, particularly the G-quadruplex structure, because of its high [bp]/[Ru] concentrations. The higher concentration of base pairs or structures per Ruthenium molecule indicated that the complex had a high binding affinity for that particular DNA structure. These results support the notion that Ruthenium metal complexes can be used for theragnostic purposes and can be used to target the telomeric region of genes where G-quadruplex structures can be found and influence transcription initiation and inhibit telomerase activity.