Rapid Lifestyle Prototyping: Assessment of Infrared Spectroscopic Blood Responses for Short-term Lifestyle Interventions

Background - At the present time, optimization of dietary and fitness practices are inadequately addressed in the clinical setting, and poorly documented through research studies investigating response to surrogate disease markers. Identifying and quantifying the personal response to lifestyle interventions requires a new tool and a new measurement metric. Methods - In this prospective observational study, COR.RELATE study, we investigated the effect of four lifestyle interventions, each spanning 21 days and consisting of seven validated practices, in a healthy population. We used a novel at-home near-infrared spectrometer (wavelength 1600-2450 nm), COR console, to measure the spectral blood changes in a cohort of 178 healthy males and females who participated in four 21-day cycles of lifestyle programs. In the first round, study participants also completed dried blood spot cards, provided by omega quant, at the start and end of their program. Results - We analyzed 1,870 infrared spectroscopy samples from 178 participants (131 males and 47 females) who participated in the first four programs of COR.RELATE. We found on average 79.75% of the participants are responsive to one or more of the COR programs. We describe an algorithmic approach, ranking personal responses to different nutrition and fitness interventions. Conclusion - The COR console and data analytics enables the use of a novel near-infrared based metric--which we call the COR Blood Response Pattern (BRP)-- to measure individual response to lifestyle change, and has the sensitivity to discern, classify, and rank the success of rapid lifestyle interventions in terms of the correlated spectroscopic response they produce. Rapid Lifestyle Prototyping is a new concept in consumer life optimization and improvement - the ability to know in no more than 21 days whether a particular single, or set of, lifestyle practices is going to evoke a strong response for an individual and therefore if it is worth continuing that practice in their quest for deep optimization and life improvement.

Plant Disease Detection and Classification Using Bacteria Foraging Optimization Algorithm Through Convolution Neural Network

Humans can recognize the plants infected by diseases but separated from our visual perception it is hard to recognize plant diseases. In croplands without taking the right care and prompt action, the entire field may become a region afflicted by diseases. So we identify the plant diseases ahead of time with the assistance of present-day computer technologies. An advanced model was introduced to accurately recognize and classification plant diseases. Here we proposed an approach that can use the Convolutional Neural Network (CNN) based on BFOA for distinguishing diseases in plants. The input picture for the extraction of features is divided into 3 clusters by the Euclidean distance measurement metric of the k-mean algorithm and from the ROI, parameters of the GLCM matrix are calculated in the same cluster prior to BFOA. Assigning matrix parameters as BFOA input improves the network’s accuracy and efficiency in determining. In classification, we proposed a Convolutional Neural Network (CNN) using ResNet50 as a pre-trained network in deep learning toolbox which classifies from a given dataset. The approach is more reliable as the detection and classification of plant diseases are more precise.

Estimasi Biaya Software FAS (Financing Analysis System) Menggunakan Metode Function Point (Studi Kasus Pada PT BPRS Lantabur Tebuireng)

Software cost estimation is the process of predicting software development efforts. The basic input of software cost estimation is the measurement metric. Projects often experience delays, over-budget, and are not completed due to failure to estimate software development costs. PT BPRS (Bank Perkreditan Rakyat Syariah) Lanatabur Tebuireng determines the estimated cost based on the amount of human resources, features needed, and funds owned. This study explains the estimated costs of the FAS (Financing Analysis System) software at PT BPRS Lantabur Tebuireng using the Function Point method. Function Point is a method of measuring software functionality based on the type of user function that is External Input, External Output, External Inquire, Internal Logic File, and External Interface File as well as technical calculations of software development. The final of the FAS (Financing Analysis System) study cost around IDR 94,797,120.

UNIVERSAL METRIC BASE (RUMB), UNITS OF ANGLE MEASUREMENT IN GEODESY AND CARTOGRAPHY

Objective. Study of ancient cartographic documents in order to clarify the principle of working with a portolan map based on the RUMB metric base. Methodology. Analytical, graphic, mathematical, geodesic. Scientific novelty. For the first time, a table of interrelation of units of measurement of time, angles and distances in the metric base of RUMB is shown. It was found that the so-called portolan maps were built on the basis of RUMB, and their projection is similar to the oblique Mercator projection with a cylindrical axis oriented along the earth’s magnetic axis, with an additional network of rhomb rectangular coordinates, which allows the map to be used at any position of the poles. The Mercator projection is a simplified version of it with one coordinate system. Practical implications. It is shown that dividing the clock face, equator and meridians of the Earth into the same number of parts allows determining the coordinates of points on the Earth’s surface using any of the known parameters, which greatly simplifies the solution of geodetic and navigation problems. Key words: units of measurement, metric base, degree, bearing, portolan map, rose card, projection, coordinate.

Toward a Unified Performance Metric for Benchmarking Steganography Systems

Recent advances in network speeds for exchanging multimedia data over insecure networks has resulted in an increased interest in steganography techniques. These techniques are usually evaluated based on their performance in three attributes; namely, capacity, imperceptibility, and robustness. Each of these attributes has its own measurement metric. Hence, comparing two different steganography schemes based on these individual metric tools becomes inconsistent. In this paper, a novel measurement metric tool is introduced for benchmarking steganography schemes. This new tool, named the “Combined Capacity-Quality-Robustness Effectiveness” (CCQRE) metric, combines the three opposing attributes of a steganography system into one conglomerate performance measure. Comparative results demonstrate the effectiveness of the proposed CCQRE metric for benchmarking various steganography schemes based on the researcher’s interest in capacity, imperceptibility, or robustness.

Avaliação de uma metodologia de monitoramento com imagens digitais para a conservação preventiva de pinturas rupestres

O intuito deste artigo é apresentar uma metodologia para o monitoramento de sítios arqueológicos visando à conservação preventiva de pinturas rupestres. Para tal, foram estudadas as metodologias de Processamento e Análise Digital de Imagens (PADI), que foram aplicadas ao contexto das pesquisas em Arqueologia. O monitoramento consistiu no registro fotográfico periódico (uma vez ao mês durante dois anos) de determinados conjuntos de pinturas de sete sítios arqueológicos localizados no Parque Nacional Serra da Capivara. As imagens obtidas foram comparadas por meio de seus histogramas. Um dos resultados foi uma métrica de medição por meio da contagem dos pixels das imagens. A metodologia de monitoramento, apesar de ainda estar nos seus primeiros testes, apresentou-se eficiente e promissora na identificação de alterações no suporte rochoso e nas pinturas rupestres. Abstract: The aim of this article is to present a methodology for the monitoring of archaeological sites aiming at the preventive conservation of cave paintings. For this, the methodologies of processing and digital image analysis - PADI - were studied and applied to the context of the researches in Archeology. The monitoring consisted of the periodic photographic record (once a month for two years) of certain sets of paintings from seven archaeological sites located in the Serra da Capivara National Park. The images obtained were compared by means of histograms. One of the results was a measurement metric by counting the pixels of the images. The monitoring methodology, although still in its first tests, was efficient and promising in the identification of alterations in rocky support and rock paintings.