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This study aimed to know the effectiveness of oblique light for document examination in detecting indented writing on different types of papers and to study the properties of writing through the detected indented writing. Quantitative research was used, to determine that the oblique light source used to establish its effectiveness came from the left and right sides, ten millimeters above the sheet of paper, and the oblique light source at an angle of 10° to the level line. The study used different papers. - 70 and 80 gsm copy paper and 70 gsm report paper. It also studied the influence of pen types used in writing using gel ink pens and ballpoint pens, which, according to studies, showed that oblique light inside the proof of document examination a maximum of 3 sheets of indented writing on parchment sheets. Ballpoint pens writting on 70 gsm, 80 gsm, and report papers averaged 1.5, 1.2, and 1.2, respectively. Gel pens writting in 70 gsm, 80 gsm paper and report paper in the ink pen averaged 1.0, 1.0, and 0.8, respectively. Although the average number of sheets of paper detected for indented writing was different, according to the analysis of two variances factored at a statistical significance of p<0.05, different types of paper and pens did not affect the effectiveness of detecting pressure marks with a poof of document examination. The research will be useful in examining documentary evidence in forensic science. [ABSTRACT FROM AUTHOR]

Generative Adversarial Networks (GANs) are a class of deep neural networks that can be used to generate data examples in imbalanced data situations. GANs consist of two simultaneously trained modes: generative and discriminative modeling. The generative model generates new data as random noise from the training dataset, and the discriminator model distinguishes examples from generated new data and real data. We studied the overlapping data transfer during a generating model in distributed real-time data streaming. This paper proposes a new extension method on GANs called GANs2T based on tabular time series to improve the model performance and execution time. We use this technique to capture the covariance structure of the minority class and to generate synthetic samples along the probability contours for learning algorithms on streaming data. The experimental testing is performed on binary-class and multi-class imbalanced learning methods from several benchmark datasets. The results validate GANs2T combine with the XGBoost (GANs2T+XGBoost) algorithm for the overall accuracy = 84.93%, precision = 90.48%, recall = 88.13%, F1-score = 89.93 and average training time for training model = 60.20 seconds. [ABSTRACT FROM AUTHOR]

The objective of this experimental study was to identify a suitable type of adhesive that can effectively enhance the absorbency rate and water evaporation capacity of fabrics, consequently improving the cooling capacity of evaporative coolers. Five distinct adhesives, utilized as binders between fabric and aluminum, were compared. The water absorption and diffusion rate through the adhered fabric onto the aluminum workpiece was evaluated by observing the behavior of water droplets. The evaporation capacity was measured in a test rig by assessing the outlet humidity ratio of air after flowing over the wetted sample. Among the tested adhesives, Draga glue demonstrated superior performance in terms of water diffusion rate, evaporation, and cost per unit mass. With Draga glue, water diffusion rates were 5.64, 7.36, and 11.52 times higher than those of SikaFlex 740, hot glue, and SA, respectively. The outlet humidity ratio from the Draga glue sample reached 16.91 g/kg, exceeding the rates of SikaFlex 740, hot glue, and SA by 22.17%, 22.46%, and 26.70%, respectively. Economically, Draga glue was found to be twice as cost-effective per unit mass as the other adhesives studied. These findings indicate that the use of Draga glue can significantly enhance the diffusion rate, evaporation, and cooling capacities of evaporative coolers. [ABSTRACT FROM AUTHOR]

This study set out to determine how cement to sugarcane bagasse ash (SCBA) ash ratios affected the physical and mechanical properties of SCBA-concrete mixes. Cement to SCBA ratios of 0, 10, 20, 30, 40, and 50% by weight of binder were used in the trials. Examples of concrete were cast, and were subsequently cured in water for 3, 7, and 28 days while keeping a slump flow percentage of 110±5%. Data from test results were quantitatively and comparably analyzed. The results from X-ray fluorescence showed that half of the composition in SCBA was SiO2. Using a Scanning Electron Microscope it was found that the bagasse ash particles had an irregular shape with highly porous texture; it was classified as nearby Class C pozzolan, with an average specific gravity of 2.21. Bagasse ash sample lost 10.85 % of its weight during ignition. Mechanical tests of the compressive strengths of mortar blended with bagasse ash at 10, 20, 30, 40, and 50 % by weight were 247.59, 230.75, 193.30, 159.53, and 149.44 kg/cm², respectively. To make concrete masonry units, it was possible to combine mortar and coarse aggregate (chipped stone) in a 1:1.5 ratio with 10% bagasse ash substitution, which produced the best results. The concrete masonry unit had an average compressive strength of 33.74 kg/cm², making it a hollow non-load-bearing concrete masonry unit, in accordance with TIS 58-2560 (Thai Industrial Standards Institute). The results demonstrate that SCBA can assist lower production costs by serving in some cases as a cement substitute. To profit from advantages in both quality and cost, it is crucial to take into account the selection of binders from SCBA as biomass. [ABSTRACT FROM AUTHOR]

In this research, we introduce three novel sequences of γn, αn and βn. These sequences are related to each other through the recurrence relation, and we have observed that their relationship can be expressed using k-Fibonacci sequences. To prove this relationship, we used mathematical induction. We have shown the validity of our theorem, and the results are presented in this study. [ABSTRACT FROM AUTHOR]