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The using possibility a unipolar corona discharge to improve the range of paper ashless filters operational properties has been investigated. It was revealed that the samples treatment by corona discharge led to an increase in the purity of the test filtrate, as well as to an increase in the strength characteristics of paper ashless filters. [ABSTRACT FROM AUTHOR]

Paper waste production in DKI Jakarta according to data from The Jakarta's Environmental Services reaches an average of 40% of total waste production per month for each municipality (kotamadya). On the other hand, Indonesia's necessity of construction development, notably residential home, is increasing constantly along with the amount of Indonesia's population. This condition stimulates innovation of eco-friendly, inexpensive building material with suitable strength. Since 1990's, papercrete, concrete with waste paper as substitution of fine and/ or coarse aggregate, has been studied. Its use for structural materials has evolved and required supporting research for application on larger structural components. In this research, homogeneity aspect of papercrete from domestic waste (office) is investigated along a certain height of vertical beam. To do so, Ultrasonic Pulse Velocity (UPV) propagation measurement on 5 vertical prismatic beam specimens was conducted. By using direct mode transmission, two transducerswere used through 15 cm of width. Rate of propagation can detect the density of concrete at each level since early age of concrete (2 hour after casting). It describes the distribution of material inside. This homogeneity study is beneficial in evaluating papercrete application in real beam structure in the future. [ABSTRACT FROM AUTHOR]

In the contemporary era, ensuring security is imperative for safeguarding information and assets, preventing unauthorized access, data breaches, and maintaining the integrity and confidentiality of systems. This study delves into Image Security, employing encryption algorithms for image protection, comparing steganographic methods for dissemination security, and applying digital watermarking algorithms to protect image copyrights. Through a comprehensive analysis of existing literature, this survey paper explains the comparative strengths, weaknesses, and complexities of various approaches utilized in this fusion. Furthermore, it describes the challenges encountered, potential and outlines future research trajectories, aiming to acquire advancements in secure image transmission methodologies. The system addresses the need for robust security measures in handling image data. By using these techniques, it aims to enhance image security, detect unauthorized access or manipulation, and enable authenticated transmission across various platforms. This research contributes to the advancement of secure image transmission methodologies, addressing the increasing concerns regarding data privacy, integrity, and ownership in today's interconnected digital world. [ABSTRACT FROM AUTHOR]

The use of facial recognition method has spread to many different industries, most notably smart attendance systems. But one major obstacle these systems must overcome is spoofing, which is the practice of people trying to trick the system by utilizing counterfeit or modified photos or videos. In the context of a smart attendance framework, this paper presents a smart anti-spoofing mechanism that can distinguish amongst real and fake faces with accuracy. The system that has been developed entails the generation of datasets that contain both actual and fake facial photos and videos, in addition to the application of a feature extraction and classification pipeline that is driven by deep learning. Furthermore, a number of data augmentation techniques, including translation, scaling, and rotation, are used to improve the effectiveness of the suggested system against different spoofing strategies. Empirical results show that these strategies support increased accuracy and durability in thwarting various spoofing attack types. With a 97% recognition rate overall, our anti-spoofing/mocking technology affords a stable and secure foundation for intelligent attendance systems. The study emphasizes how effective it is to create a strong anti-spoofing system specifically for keen attendance applications by integrating deep learning and soft computing models. [ABSTRACT FROM AUTHOR]

Attendance monitoring is an essential task for any organization and traditional methods such as pen and paper or electronic card systems have their limitations with advancements. The proposed model is a real time face presence monitoring system using Raspberry Pi. The system captures image of individuals using camera and processes the images using deep learning algorithms to detect faces. These faces are then matched against a pre-existing database of known individuals. Door interlock controls add an extra layer of security, ensuring that only authorized person have access to restricted areas. The system provides a user-friendly interface to view everyone's attendance records and generate attendance management reports. The proposed system provides a reliable and accurate solutions for attendance tracking and can be used in various organizations. [ABSTRACT FROM AUTHOR]

In this work, we develop the rapid diagnostic kit potentially applied as point-of-care testing for kidney disease (nephropathy) through detecting albumin in urine samples. For this purpose, gold-nanoparticle (AuNPs) in combination with anionic dyes of Bromocresol Purple (BCP) and Bromothymol Blue (BTB), which are immobilized onto distance-based microfluidic paper-based analytical devices (d-μPADs), are utilized as sensing reagents. In this device, two mechanisms operate for quantitative and semiquantitative detection of albumin using d-μPAD, which include (1) protein error of pH indicator by direct reaction of albumin with dyes and (2) full corona protein formation of AuNPs with albumin. These synergistic reaction mechanisms facilitate the sharp color change of dyes, easily detected by the naked eye. Some parameters affecting the sensitivity of the proposed method, such as dye concentration, pH, reagent volume ratio, reagent immobilization, and reaction time, are investigated in detail. Inexpensive, disposable, and easy to use without technical expertise for albumin detection are advantages of the proposed method. Additionally, the proposed method has a high precision (RSD: 1.08%) and accuracy (99.38-99.96%) [ABSTRACT FROM AUTHOR]

A growing field in India that can assist farmers in many ways is the identification of plant diseases. Plant disease reduces the mass production in agriculture. Every time due to heavy loss in agriculture, farmers face many challenges to raise up their needs. This study analyzes various diseases that affect various plants due to the following criteria like environmental condition, types of plant formed from Monocot and Dicot family, crop rotation and Ph value of the soil. The existing system analyzed the diseases based on one of the criteria. Although the strategy is to be followed to identify plant diseases at the early stage with various aspects so that the production in agriculture could be increased. The majority of machine learning algorithms already exist and may be improved upon to yield more accuracy. Xanthomonas wilt, Black and Yellow Sigatoka, Bunchy Top Virus, Black Sigatoka, Fusarium wilt, Cassava Bacterial Blight (CBB), Cassava Brown Steak Disease (CBSD), Cassava Green Mite (CGM), and Cassava Mosaic Disease (CMD), Yellow vein mosaic virus, and Powdery Mildew are a few of the diseases of the plants grown on crop rotation which are the subject of study of this paper. Plant illnesses are classified according to disease in the many open-source datasets that are accessible. For deeper understanding, we have provided a list of references. Here, we've examined the approaches that are now in use for automatically detecting various diseases of plant leaves. We present an approach for accurately identifying early signs of plant diseases from a variety of perspectives. [ABSTRACT FROM AUTHOR]

This study aims to identify the performances of cationic starch (CS) and sodium carboxymethyl celluloses (CMC-Na) as dry strength additives (DSA). The CS and CMC-Na were incorporated with to pulp slurry in different dosages (0.5%-2.0%) during stock preparation. The basic weight of 80 g/m2 was made for each treatment. The results showed that the utilization of CMC-Na had better mechanical properties compared to the CS for all treatments. In general, apparent density and mechanical properties were significantly affected by the addition of DSA. However, through the observation of the experiment, the enhancing effect of CMC-Na on mechanical properties of wastepaper was much higher than using CS except for tear strength. The FESEM imaging results can also help prove the best DSA used in wastepaper production. [ABSTRACT FROM AUTHOR]

Fake news is false or misleading information presented as news. False stories tend to spread farther, faster, and more broadly than true stories. Some individuals and organizations intentionally applied misleading information for certain benefits. The internet goes quickly, mobile devices became popular, and social media users grow more significant in number, make no boundaries world and connect every user. As a result, information circulates in immense numbers makes to handle fake news manually is impossible. Fake news also affects human psychology. Hoax related to how to cure COVID-19 and the lack of toilet paper has led to casualties and riots. Fake news potentially differs in writing technique compare to real information. In this paper, we discussed a few studies related to fake news detection. Their algorithm can capture writing style in content viz lexicon, syntax, semantic, and discourse. Also, those studies implemented user-based, content-based, and social context-based. It used machine learning, deep learning, and reinforcement learning. Furthermore, education plays a vital role in making people understand the impact of fake news. Itis necessary to do a campaign for all internet users. The national government necessity collaborates with society implement the particular rule for better internet environment. [ABSTRACT FROM AUTHOR]

In this era of technology, online data is increasing enormously in various forms be it images, videos, texts, sound, etc. Now with increasing data, there arises the issue of storage and that's the time when Bigdata and its tools come into the picture. To analyze the big data and process it with the available traditional methods, becomes an extremely strenuous task. And to overcome this drawback, there are various big data tools and techniques available. Some of the techniques that are used to analyze big data are the techniques of data mining such as clustering, classification, division, and prediction. The tools that are used in analyzing the big data are MongoDB, NoSQL, HPCC, Apache Storm, Spark, Apache Hadoop, also these tools are used in handling big data. In this paper, analysis of big data tools and techniques has been done with different examples and instances. To understand the tools better, their summaries along with examples are presented. [ABSTRACT FROM AUTHOR]

This study aims to determine the research trend of interconnection of computational thinking and mathematics. Data analysis used bibliometric mapping analysis method. Related articles analyzed were searched from the Scopus and Google Scholar databases using Publish or Perish software. Furthermore, data analysis using VOSviewer software. The results show that: (1) research on the interconnection of mathematics and computational thinking has increased significantly in the last five years, (2) the number of articles in Google Scholar indexed journals is more than Scopus indexed journals, but the number of citations in Scopus indexed journals is much higher than Google Scholar indexed journals and conference papers, (3) David Weintrop is the most cited author on mathematics and computational thought, with 77.40 citations/year, (4) there are many network clusters between authors with members ranging from two to eight authors, (5) There are many research theme cluster networks used by the authors in the last three years, with the focus of recent research linking mathematics and computational thinking with critical thinking, mathematical literacy, and computational thinking abilities. The results of this study can be used as a basis and inspiration for further research on mathematical interconnection and computational thinking. [ABSTRACT FROM AUTHOR]

The aim of this research was to manufacture composite panel that can be used as wall panel for earthquake resistantly building. First stage on wall panel production was done by preparing polypropylene plastic waste, coconut coir fiber, and waste sludge paper mill. The second stage was carried out by mixing polypropylene plastic waste with coconut coir fiber and sludge of paper mill waste. In this research, two mixing variations were carried out. First variation was done by mixing polypropylene plastic waste and coconut fiber in a ratio of 60:40 without adding sludge, while the other was done by mixing sludge, polypropylene plastic waste and coconut fiber with a ratio of 60:20:20. The mixing process was done using extruder and the drying process was done using hot press. Density, internal adhesion values, and thickness extension of resulted composite panels then was characterized. From two variations resulted wall panels were found that the wall panels with sludge addition has better density value of 0.9713 g/cm3 compare to composite panel without sludge addition where its density value of 1.093 g/cm3. In addition, the internal adhesive strength value of the wall panels without sludge addition of 0.59 N/mm2, whereas it improved to 0.61 N/mm2 on panel with sludge addition. Moreover, the thickness of the panel that was produced without sludge addition was 0.508 percent, while panel with sludge addition decreased to 0.104 percent. [ABSTRACT FROM AUTHOR]

Surface-Enhanced Raman Scattering (SERS) performance of filter paper (FP) loaded with gold nanoparticles (Au NPs) of three different size/shapes (spherical, triangular and star) were investigated. Spherical Au NPs were synthesized using femtosecond laser ablation of Au target in distilled water and other two anisotropic (triangular and star-shaped) Au NPs were prepared by colloidal chemical methods. COMSOL Multiphysics simulations were performed to investigate near field distributions of these Au NPs and as expected, the strongly enhanced near-field intensity at the sharp features was observed. The SERS performance [using the dye molecule Nile Blue (NB)] of star-shaped Au NPs loaded FP was superior compared to the triangle and spherical Au NPs loaded FP due to the presence of sharp tips and thus it was proved to be capable of detecting 10 pM NB concentration with an estimated enhancement factor of ∼3.7×1010. [ABSTRACT FROM AUTHOR]

During recycling of waste paper from private households different fractions containing plastics and polluted paper fibers are received. Current research at the Institute of Polymer Materials and Plastics Engineering at Clausthal University of Technology showed that the use of waste paper as filler and reinforcement in polypropylene leads to nearly the same mechanical properties as natural fibers like flax, sisal and hemp. The present investigations focus on the chemical cleaning of the paper recyclate to treat the fiber surface and to solve foreign plastics like polystyrene. For this purpose Soxhlet extraction with different solvents is used. The received extracts are examined via infrared spectroscopy, as well as the treated and the untreated fibers. Afterwards, the cleaned paper is incorporated into polypropylene. The received composites are investigated regarding their mechanical properties by tensile testing and CHARPY impact testing. [ABSTRACT FROM AUTHOR]

The widely use of petroleum-derived mineral oils for the production of offset printing inks has resulted in several environmental impacts. The suitable approach to develop alternative resources is palm oil fatty acid methyl ester (FAME) as a substitute for petroleum-based solvent. This study aimed to investigate the surface properties of palm oil-based offset ink on gloss-coated paper surfaces in terms of printability. The "green" varnishes were prepared with palm oil FAME as solvent, rosin-modified phenolic resin, and different vegetable oils linseed oil (FAME-LO) and soybean oil (FAME-SO) have been used as drying oils. The FAME-based Cyan offset printing inks have been prepared their properties compared with standard conventional inks. Printing tests were carried out using the IGT-A2 printability tester. Contact angles of water, methanol, and hexane on the surface of printed ink were measured using Contact Angle Analyzer. The surface free energy (SFE) and its components were calculated using Girifalco-Good-Fowkes-Young, Owens-Wendt, and van Oss-Chaudhury-Good methods. The results showed that as the liquid contact angle increased, the surface energy decreased. The surface energy of FAME-SO ink printed samples 36.36 mJ/m2 was higher than the unprinted paper 35.84 mJ/m2. Since high surface energy will affect the bond strength of the ink to the substrate, this will be an advantage for multicolor prints requiring good ink adhesion, which will enlarge the acceptance of other colors to be printed on the previous color. [ABSTRACT FROM AUTHOR]

This paper is about paper or journal review of two-phase flow boiling pressure drop in propane (R290) refrigeration system and summarized several researches that will useful in terms of HVAC-R equipment especially in heat exchanger i.e., evaporator design. Early researcher has been conducted research with respect to the channel dimension (diameter and aspect ratio) as in Coleman (2000). Recent research of flow boiling with combined parameters such as heat transfer coefficient (HTC) and pressure drop shown that some parameters affected pressure drop inside unconventional channel (mini and microchannel) such as superficial vapor velocity, mass quality, mass flux, heat flux, saturation temperature (and pressure), and Reynolds number where flow regime of the pressure drop are mostly annular flow, intermittent flow, slug and churn flow but less or few of them found a relation of channel dimension i.e. diameter and aspect ratio towards two-phase flow pressure drop (as in Coleman (2000)). It is recommended that for further study and research, study of two-phase flow boiling pressure drop must conduct in the unconventional channel such as minichannel or microchannel i.e., capillary tube and incorporate Reynolds number of the flow (both vapor and liquid), channel dimension (diameter and aspect ratio), surface tension, and shear stress influence from two-phase flow fluid and then plot the data to the recent and or existed flow pattern map of any flow regimes especially to the refrigerants ones. [ABSTRACT FROM AUTHOR]

A manufacturing system is a collection of equipment and human resources integrated to carry out the operation process into a quality finished product. With various activities in it making the production process one of the spearheads of creating a product in accordance with market needs, it is necessary to have a systematic, effective and efficient workflow to optimize the workstation at production time. PT XYZ manufactures carton boxes of various sizes. Cardboard paper as raw material is obtained from several other paper mill companies. PT XYZ has an imbalance of production efficiency which is a bottleneck (stacking) at the manual stitching workstation that is the carton box's union with the stapler. Based on the existing problems, this study aims to determine the process of producing carton boxes and identify workstations that experience bottlenecks. The estimate production demand and be careful to minimize congestion to optimize work efficiency at workstations in the production process and compare repair costs conducted. The data obtained will be predicted using quadratic forecasting to determine the shadow of future requests. The method used to minimize congestion and handle work efficiency at each workstation is Theory of Constraint (TOC). With the Theory of constraint method, the percentage of loads experiencing congestion is 105.89%. After the best choice is made by adding 1 operator to the connection process, the percentage of loads experiencing congestion is 70.59%. So, the bottleneck condition is solved, and production runs smoothly. [ABSTRACT FROM AUTHOR]

Several approaches have been proposed to help researchers in retrieving relevant and useful information from the cyber-ocean of information. However, the approaches assumed the academic content to be easily accessible, which is not always the case considering the copyright restrictions. Different from the existing works, we proposed a collaborative approach that leverages public contextual metadata to personalize scholarly recommendations. Our proposed approach has the ability to recommend research papers to the individual researchers regardless of the researcher expertise and research field. As demonstrated using a freely accessible dataset, our proposed approach have shown significant improvements over another baseline method. [ABSTRACT FROM AUTHOR]

Concrete is a versatile composite material which due to its beneficial properties e.g., form ability, fast construction process, relatively high compressive strength available in short term, considerable long-term durability, etc. may find usage in many applications throughout different sectors. Dense composite matrix which is, on the one hand, responsible for good mechanical resistance can be, on the other hand, counterproductive in view of excessive dead loading of bearing structures and its high thermal conductivity. In this paper waste expanded polystyrene as a replacement of traditional dense aggregate in concrete production was used. Polymer-based alternative, in the fraction of 2.0/4.0 mm, was applied in amounts of 0-100 vol.%, and its effect on physical, strength and thermal-physical properties on 28 days aged concretes was monitored. Obtained data confirmed combined substantial lightening of produced composites accompanied with improvement of their thermal-insulation function. High dosages of lightweight aggregate in concrete mixes led to significant reduction of their mechanical resistance, however, at balanced portions of polymeric material structural grade concrete may be manufactured. [ABSTRACT FROM AUTHOR]

The different methods and application rates of an inoculum powder of sunflower Phoma rot pathogen Plenodomus lindquistii Gruyter, Aveskamp & Verkley for an artificial infection of seeds in the laboratory in soil were studied, the results are presented. The following methods of application of Phoma inoculum powder into soil were studied: into row, mixtures with soil, and on the bottom of a growth tray covered with a filter paper under soil. The application rates of an inoculum powder were 2.5 and 5.0 g per a row of 11 cm length; 5.0 and 10.0 g per 600 g of soil – mixing with soil and on the bottom of the growth tray. The method of application of the inoculum powder into a row in a rate of 5.0 g when the most seeds perished before sprouting were considered to be an optimal one. The sunflower infection with Phoma rot pathogen was weak in variants where pathogen powder was mixed with soil or placed under soil on the bottom of the growth tray. [ABSTRACT FROM AUTHOR]

The catalytic electroreduction of carbon dioxide represents a promising technology for the management of the energy sources and the abatement of CO2 emissions. For the industrial implementation of this process, it is required the development of a selective and stable nanostructured catalytic electrode. In this study, we evaluated the synthesis of nanostructured metallic electrodes produced by galvanostatic electrodeposition of copper onto a carbon paper support. The effects of deposition current density on morphology and catalytic properties of the electrodes were analyzed. The formation of copper nano and microstructure was observed on the external structure of the carbon paper support. Regarding the morphology, a correlation between applied current density and deposition structure was found. Electrodeposited electrodes showed a catalytic selectivity towards the production of carbon monoxide almost four times greater than copper foil electrodes. An inverse correlation between deposition current density and catalytic selectivity was observed. A decrease in the deposition current from -6 mA cm-2 to -2 mA cm−2 resulted in a doubling of the measured selectivity. [ABSTRACT FROM AUTHOR]

Moodle-based Learning Management Systems have been widely used in learning during the Covid-19 pandemic, especially in Indonesia. In this regard, this study aims to identify and describe the implementation of the Whole Language Approach in improving the ability to write simple scientific papers for students at PGRI Yogyakarta University through the Moodle-based Learning Management System. The method in this research is descriptive qualitative with data in the form of descriptions of the results of research implementation supported by observations, interviews, theoretical studies, and relevant research. The results of this study indicate an increase in the ability to write student scientific papers in the experimental class after using the Whole Language Approach through Moodle-based LMS in learning to write. Several aspects that were assessed were structure, systematics, language use, content coherence, and references used. This increase is indicated by the test numbers before and after the use of the Whole Language Approach through the Moodle-based LMS with mean values of 6.5 to 8.8 in the experimental class, and 6.7 to 7.1 in.the control class. This shows that the use of the Whole Language Approach through Moodle-based LMS is proven to improve students' ability to write simple scientific papers. [ABSTRACT FROM AUTHOR]

Neo vernacular is a modern architectural style inspired by traditional vernacular buildings. The concept of neo vernacular architecture is a continuance of the Klaten people's ancient identity as part of Javanese culture, particularly in Central Java. One technique to construct architectural works founded in the local culture is to look for values rooted in Javanese culture. This paper is the product of a final project whose goal is to develop a sustainable architectural identity in Klaten based on local wisdom, which will be applied to the "nadir" transit hotel. This transit hotel should be able to accomplish the goal and objective of a successful Klaten city with devoted, intelligent, autonomous, and cultural citizens. The location, 53 meters south of Klaten Station, is one type of development of supporting facilities for the commuter line scheme. This is one of the KAI activities at Klaten Station that attempts to make it easier for visitors to obtain long-term support. Folk architecture gives rise to vernacular architecture, which evolves from it. It arose from and was entrenched in the ethnic community's traditions, and skilled craftsmen built it with years of expertise. The gunungan and Klaten limasan house concept is an alternative that is integrated with contemporary design to create a transit hotel with a character that may reflect the city of Klaten's identity as an independent and cultured district. [ABSTRACT FROM AUTHOR]

The effect of the membrane separation process to concentrate the xylanase was tested to restrict cellulase dosage on the lignocellulosic waste. Xylanase produced from Streptomyces lividans expressing an endo-xylanase gene from Kitasatospora sp. was concentrated by nanofiltration membrane NTR-7410. This resulted in a seven-fold increase in xylanase activity without changing its specific activity. The saccharification of dilute acid-pretreated empty fruit bunch (EFB) was performed by applying membrane-concentrated xylanase compared with its un-concentrated to commercial cellulase loaded at one filter paper unit/g-biomass. Both glucose and xylose yields obtained by using concentrated xylanase (19.49% and 41.51%, respectively) were higher compared to un-concentrated xylanase (11.71% and 28.71%, respectively). Xylose-assimilating Saccharomyces cerevisiae yeast at initial of 0.5 g/L was then inoculated into the sugar solutions. The yeast had increased ethanol titer and productivity from sugars obtained by using membrane-concentrated xylanase (7.13±0.60 g/L and 0.59±0.06 g/L/h, respectively), compared by using un-concentrated xylanase (4.56±0.43 g/L and 0.38±0.02 g/L/h, respectively). [ABSTRACT FROM AUTHOR]

This article describes an information system for filing and presenting graduate qualification papers of university students. It was developed using HTML5, PHP 7.2, MySQL 5.7, JQuery, AJAX, Yii2 and Materialize frameworks. The main qualities of the system on the part of student contribution were evaluated using a questionnaire method among 124 respondents who took part in it. This paper presents the results of the data analysis and specifies the tools used in designing a system for the university. It also describes the modules and algorithms of the information system operation: the management of the system users, the organization of control and checking of the works by the department staff. It shows a practical use of the system in the learning process in 2019-2021. Further development of the system is to develop a more automated system to monitor the work of the departments and to make up analyst queries for punctual data entry of graduate qualification works. [ABSTRACT FROM AUTHOR]

Waste is produced in large quantities all around the world, causing serious environmental problems. Construction and demolition (C&D) trash accounts for a significant fraction of global solid waste production, with the majority of it ending up in landfills. Concrete engineers have truly recommended the possibility of precisely treating and reusing such waste as aggregates in fresh concrete, particularly for lower-level applications, according to their research. Papercrete is a sustainable building material since it uses less cement and makes extensive use of recycled paper. It provides a number of benefits in the manufacturing industry, including a reduced carbon footprint and recovered fabric. Poor embodied strength, low utilization, and so on. The concrete rubble collected from C&D waste is used as a fine aggregate in the manufacture of papercrete bricks in this study. As a result, both waste paper and C&D debris were used, reducing landfill disposal and promoting low-cost, light-weight, and environmentally friendly construction materials. [ABSTRACT FROM AUTHOR]

Paper sheets were produced from bleached kraft pulp, and office and newsprint waste paper. Nanoparticles from black alder bark, grey alder bark and pine bark as well as birch sawdust were obtained for using them as reinforcing fillers in paper. Non-extracted bark and that extracted in biorefinery were used. For producing nanoparticles, the materials were destructed using the thermocatalytic destruction method and then dispersed in water medium in a ball mill. At a sufficient concentration, gel-like dispersions were obtained, which contained nanoparticles with the size ∼300 nm. The dispersions were introduced in paper furnish in different amounts. It has been established that all the nanoparticle fillers increase the tensile index and burst index in dry and wet states. The nanoparticle fillers from extracted bark increase the mechanical indices to a higher extent. At 20% filler content, tensile index in a dry state increases in the case of non-extracted grey alder bark, black alder bark and pine bark by 28, 30 and 15%, and in the case of extracted ones - by 44, 40 and 30%, respectively; the burst index increases by 78, 19 and 4%, and 91, 25 and 14%, respectively. The nanoparticle filler from birch sawdust increases the tensile strength in a dry state by 9% and burst index by 20%. The obtained nanoparticle fillers slightly improve also the water resistance of paper. [ABSTRACT FROM AUTHOR]

CdSe quantum dot has great potential in various applications especially for emitting devices. One example potential application of CdSe quantum dot is security label for anti-counterfeiting. In this work, we present a practical approach of security label on paper using one and two colors of colloidal CdSe quantum dot, which is used as stamping ink on various types of paper. Under ambient condition, quantum dot is almost invisible. The quantum dot security label can be revealed by detecting emission of quantum dot using photoluminescence and cnc machine. The recorded quantum dot emission intensity is then analyzed using home-made program to reveal quantum dot pattern stamp having the word 'RAHASIA'. We found that security label using quantum dot works well on several types of paper. The quantum dot patterns can survive several days and further treatment is required to protect the quantum dot. Oxidation of quantum dot that occurred during this experiment reduced the emission intensity of quantum dot patterns. [ABSTRACT FROM AUTHOR]

A paper battery is a 6 cm × 4 cm × 1 mm dimension battery that uses CuCl as a cathode, magnesium as an anode, and urine as an electrolyte. CuCl2 dan CuSO4 as used to synthesis CuCl was analyzed. A simple and cheap sandwiched fabrication model has been identified using the low-cost CuCl synthesis process. This paper battery has passed experimental testing and delivers the best power generation at 169,588 mW and continuously up to 4 hours. Voltage also measured and provided a stable voltage at least for 6 hours at 582.667 mV. Method 2 of using CuSO4, which has price lower than CuCl2 showed better power generation and stability. [ABSTRACT FROM AUTHOR]

Paper is now an integral feature of humanoid existence in a multitude of ways, and it is getting more and more popular. In ordinary life, a massive portion of paper is consumed. The difficulty of finding feedstock is becoming ever more acute as paper consumption rises. This ultimately led to the extraction of resources. Since the demand for paper has skyrocketed, recycling paper has become much more popular. The accumulation of vast quantities of waste paper in any big organization, notably institutions of higher education such as schools and universities, seems to be fairly prevalent. It's also worthwhile to make optimum use of recyclable materials (office files, craft papers, registers, etc.). A recyclable machine will help minimise energy consumption and paper waste. The valuable feature of salvaging would be that it lessens the environmental impact by a couple of percent. The design and fabrication of both humanly and remotely controlled paper recycling programmes are studied using previous literature. producing a lightweight, easily handled composting machinery that can be deployed to ease the process and reduce the cost of paper production. Then the effluents would be treated employing various natural filters due to paper recycling. Hibiscus, gooseberry, and vetiver are being used to treat the contaminated water. All of these constituents operate together to clear the water of surplus particles. Waste water treatment is indeed a process of preventing impurities from effluent and transferring them to an effluent that may be recycled into the water cycle. The process of turning waste water into fresh water that can be dispersed directly into the ecosystem. The effluent holds a variety of natural substances, which may also degrade the overall quality of the water. As nothing more than a corollary, water treatment principally helps to clear debris and other pathogens. The level of trash, which is routinely emitted into the ether, is reduced in terms of treatment of wastewater, boosting the atmosphere's health. In this study, both paper reutilization and waste water treatment studies are carried out using various literature. [ABSTRACT FROM AUTHOR]

Cellulose is the most abundant of natural macromolecules in nature, and it can be obtained from the wastepaper. Wastepaper is mainly produced by daily activities such as school and office. This research aims to isolate and characterize the cellulose from wastepaper through the stages of double bleaching/ delignification under stirring and heating. The functional group analysis, crystallinity, and thermal analysis were performed using FTIR, XRD and TGA. Cellulose has some main functional groups, they are –OH stretching, -CH alkane, H-O-H bending, -CH2 bending, -OH bending, -C-O-C asymmetry and β-glycosidic for each wavenumber at 3403, 2902, 1639, 1431, 1373, 1060 and 897 cm−1. Cellulose of wastepaper has a degree of C.I. of 71%, while the onset temperature (Tonset) observed at 292.15 °C. Based on the results, cellulose of wastepaper was successfully isolated through the simple stages proposed. [ABSTRACT FROM AUTHOR]

Synthesis of heteronuclear complexes of Fe(III)-Mn(II)-Tartrate is reported here. The tartrate based heteronuclear complex was developed as functional material for catalytic applications and molecular magnets. Effect of type of Fe(III) salts and reaction temperature in the solvothermal synthesis of the targeted complex is also investigated. FeCl3 and (NH4)Fe(SO4)2 were used as the source of Fe(III) salts, in which the Fe(III) salt solutions were then mixed with solutions of MnCl2 and L−tartaric acid in a Fe(III)-Mn(II)-Tartrate mol ratio of 2:2:5 in a 50 mL of Teflon-autoclave. A mixture of dimethyl formamide and distilled water (1:3) was used as the solvent. The solvothermal reaction was done at 110 and 130 °C, respectively, for 2 hours. Solids that precipitated out from the reaction were separated by filter paper, dried in an oven, and then characterized by Fourier Transform Infrared (FTIR) spectroscopy, atomic absorption spectrophotometer (AAS), and powder XRD analysis. Experimental data shows that all four reactions resulted in identical pale yellow-greenish fine powder in different yields. FTIR analysis confirms the presence of tartrate ligand based on specific absorptions, namely a broad band around 3400 (O–H) cm−1, a sharp peak around 1650 (O–C=O) cm−1, and twin sharp peaks around 1400-1100 (C–OH) cm−1. Moreover, AAS confirms the presence of both Fe and Mn in all samples in a considerably significant amount. Powder XRD analyses confirmed that the synthesized complexes have identical crystal system. These results indicate that complexes of Fe(III)-Mn(II)-Tartrate were formed and the synthesis of the complex were not influenced by the type of Fe(III) salts or by the reaction temperature. [ABSTRACT FROM AUTHOR]

The very high theoretical capacity of the silicon (4200mAh/g more than 10 times larger than graphite), environmental-friendly, abundant and low-cost, makes it a potential candidate to replace graphite in high energy density Li-ion batteries. As a drawback, silicon suffers from huge volume changes (300%) on alloying and dealloying with Li, leading a structural deformation that induces disruption. The use of nanostructured silicon materials has been shown to be an effective way to avoid this mechanical degradation of the active material. In this paper the synthesis of silicon nanowires, grown on a highly porous 3D-like carbon paper substrate by CVD using Cu as the catalyst, is presented. The use of carbon paper allows to achieve remarkable loadings of active material (2-5 mg/cm²) and, consequently, high capacity densities. The silicon electrode was investigated both morphologically and electrochemically. To improve the electrochemical performance various strategies have been carried out. It was observed that a very slow first cycle (C/40), which helps the formation of a stable solid electrolyte interphase on the silicon surface, improves the performance of the cells; nevertheless, their cycle life has been found not fully satisfactory. Morphological analysis of the Si-NWs electrodes before and after cycling showed the presence of a dense silicon layer below the nanowires which could reduce the electrical contact between the active material and the substrate. [ABSTRACT FROM AUTHOR]

Due to high concentrations of organic matters and total solids, the effluent generated from recycled paper mill (RPME) requires appropriate treatment prior to discharge. The thermal condition of an anaerobic system has a major effect on the biodegradation processes of total solid substrates. In this study, the biodegradation of RPME was evaluated in a modified anaerobic inclining-baffled reactor (MAI-BR) under sub-mesophilic (29 °C), mesophilic (37 °C) and thermophilic (55 °C) conditions. The concentration of VSS, TDS, TSS lignin and VSS/TSS ratio in MAI-BR’s compartments were studied. The results showed that Compartment 1 had TSS of 15682, 13305 and 12145 mg/L; particles size of 621, 559 and 500 µm; VSS of 9662, 1776 and 10923 mg/L; and TDS of 594, 730 and 1873 mg/L at sub-mesophilic, mesophilic, and thermophilic conditions, respectively. An increase in the reactor temperature, an overall reduction in TSS and particles size, and an increase in VSS, VSS/TSS ratio, TDS, and lignin were observed. Under thermophilic conditions, the VSS/TSS ratio was higher than in mesophilic conditions, while lignin became harder to remove. These results conclude that operating the reactor at thermophilic has reduced the digested sludge within the system and enhanced the solid fraction biodegradation process of RPME. [ABSTRACT FROM AUTHOR]

Artificial Intelligence (AI) and Machine Learning (ML) transforming the Insurance industry by improving efficiency, reducing costs, and providing a better customer experience. As these technologies continue to evolve, more innovation can be expected in the Insurance industry. A Bibliographic analysis is conducted for scientific mapping based on 1,084 SCOPUS-indexed publications between the year 2000-2022 using VOSviewer Application. The Analysis was conducted based on Publications by year, Source, Author, Affiliation, Country, Type, Subject Area and Funding Sponsors. The research found the result, the year 2022 had the highest publication of 203, through documents per year by the source of Lecture Notes In Computer Science Including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics at 43 publications, Bauder, R.A. author is the maximum contributor, Harvard Medical School has been the major affiliate, United States of America, has the maximum 341 publications, Conference paper has the majority participation at 412 documents at 38 percent and Keywords "Artificial intelligence", Machine Learning" and "Insurance" has the highest occurrence. The maximum number of publications inthe field of computer science at 28 percent. Overall, this bibliographic analysis provides a comprehensive overview of the current state of research in AI and Machine Learning in the Insurance industry and highlights the potential for further innovation and development in this field. [ABSTRACT FROM AUTHOR]

In recent years a new type of pavement has gained popularity in the United Kingdom this type is called Semi flexible Pavements (SFP). It consists of porous asphalt with high air voids between (25-35) % and is filled with cementitious grout materials. SFP is a combination road surface that incorporates the effects of both porous asphalt and cement paste grout. In addition it has proven to function well in strongly loaded freeways and airport pavement. The primary goal of this research was to assess the performance and durability of SFP contained sustainable grout material. The Reed Waste Ash (RWA) was adopted as a partial replacement for conventional grout material and Ordinary Portland cement (OPC) used in SFP. Also superplasticizer (SP) was used to improve the fluidity of grout and waste paper fiber (W-PF) was used as a modifier for asphalt binder. The indirect Tensile Stress (ITS) and Tensile Strength Ratio (TSR) tests were used to evaluate the resistance of new SFP to cracking and moisture susceptibility while the wheel track test was used to assess the resistance to permanent deformation. The results showed that the SFP containing OPC+10% RWA enhanced the moisture susceptibility of SFP up to 83.52 %. In addition, the result of the abrasion test of the SFP mixture containing OPC+10%RWA gives a great improvement, reached to 55% and 88% for unaged and aged specimens, respectively, when compared to the control mix. The rutting resistance was improved by 85% for the above mentioned replacement. [ABSTRACT FROM AUTHOR]

One of the biometrics that is used to analyze and measure the features of any individual for security and authentication purposes is the fingerprint. purposes, and it is one of the most grown biometric types and considered legal proof of guide in a court of law all over the worldwide. The techniques that is used to find the matching between different fingerprint images have been varied Over the past few years, the researcher in this topic use several methods to extract the essential features, and use these features as input to different matching techniques in inked fingerprint recognition system.in this paper we will discuss in details the contents of fingerprint recognition system and how it is work and a several number of techniques and methods used by the researchers in this top and we made a compression between the widely used techniques to reach the best in terms of accuracy. [ABSTRACT FROM AUTHOR]

In order to accommodate the country's growing population, the number of apartment complexes has increased dramatically. Most new apartment complexes include a variety of modern amenities such as a supermarket, a medical centre, EV charging stations, vending machines, and many more. To use these amenities, we normally need to have a credit or debit card, or even cash on hand. Also, there are numerous identity and government cards that a person must carry with them at all times. Keeping track of all these cards can prove to be quite tedious and time-consuming. Furthermore, the majority of these apartments feature the standard lock and key method of unlocking the doors of the residing occupants which adds to the load of carrying about house keys along with all of the other cards. Life would be so much easier if we could replace all of these numerous bank cards with just one. Using a single card to access all services, such as EV charging or purchasing items, and even as your home door key. With the tap and go feature, the user does not have to pay at the same time but can make a payment all at once when the statement arrives at the end of the month, saving both time and keeping track of all transactions with ease. Hence, we propose in this paper a smart card that uses RFID technology to access all of the many amenities in apartment complexes. [ABSTRACT FROM AUTHOR]

The paper describes a smart home control system, which includes lighting, microclimate and security subsystems, as well as control algorithms for various operating scenarios. The process of the system operation is described in detail, the visualization of the system is presented in the form of a 3d model. The article shows the practical significance of the system, describes its functionality. The work is of undoubted relevance, since the introduction of a house management system can improve conditions of life and achieve high energy efficiency rates. The article presents in detail each element of the control system, namely: a control device, a control object, a set of sensors. On the example of the lighting subsystem, the process of creating the entire automated control system is described. An algorithm for automatic lighting operation is obtained and described. To control the system, a human-machine interface was developed in the OpenHab program. A panel with indicators of the light sensor is presented, its functionality is described. [ABSTRACT FROM AUTHOR]

The potential of Waste paper sludge (WPS) and cockle shell (CS) as an alternative composite absorbent has been investigated to obtain the optimum mixing ratio in removing two working parameters such as ammonia nitrogen (NH3-N) and COD. Both WPS and CS were mixed together in different ratio. The absorption batch study includes the preparation of 5g composite adsorbent, 200 mL of raw leachate sample at pH 8.64, with a shaking speed of 200 rpm for 300 minutes at room temperature. The result shows, the optimum ratio obtained for composite mixture absorbent is (1:7) and the concentration capacity achieved for the ratio was 502 mg/L and 540 mg/L for NH3-N and COD. The percentage optimum removal is 50.20% NH3-N and 81.25% COD respectively. The optimum pH and absorbent dosage expressed the result at pH 7 and 50 g with the percentage optimum removal value is 50.10% NH3-N and 88.89% COD; and 503 mg/L NH3-N and 320 mg/L COD; and 51.98% NH3-N and 89.51% COD; and 484 mg/L NH3-N and 302 mg/L COD, respectively during the experiment. [ABSTRACT FROM AUTHOR]

Rice straw can be an alternative material for producing great pulp and paper also can be produced by several variations of the pulping process. This study was conducted to prepare and evaluate the hydrophobic rice straw pulp soda using atmospheric hot soda (AHSP) and soda (SP) pulping methods and modified with water-soluble chitosan treatment. The pulps were modified with water-soluble chitosan treatment at 1% and 2%. The screen pulp yield, kappa number, and delignification selectivity were analyzed to evaluate the properties of the pulp, while hydrophobicity properties were evaluated by its water absorption capacity and wettability. The FTIR was used to investigate the possibility of a new functional group formation after modification. The screen pulp yield of AHSP (29.22%) was relatively higher than SP (21.94%). However, SP pulp has a lower kappa number with higher delignification selectivity than AHSP pulp. After pulp modification, the hydrophobicity of the modified pulp increases in line with the increasing concentration of water-soluble chitosan. The AHSP pulp with a 2% water-chitosan treatment has the highest hydrophobicity indicated by the lowest water absorption capacity at 60 minutes i.e 41.99%. Therefore, based on hydrophobicity analysis, AHSP and SP modified with a 2% water-soluble chitosan treatment have better hydrophobicity. [ABSTRACT FROM AUTHOR]

Polar code is a class of linear error-correcting codes that may demonstrably achieve the capacity of discrete memoryless channels. In the last decade, they have piqued the interest of industry and academia, such as the 5G (5th generation) wireless communication system standardization process. Although polar codes are proven to achieve the Shannon limit, their performance degrades at finite-code lengths, particularly in low signal-to-noise ratio (SNR) environments. So in a regime with finite _length, the performance of polar code may be improved by several techniques, such as Turbo Polar Codes (TPCs). Various Soft_in_Soft_out (SISO) decoder techniques, such as soft_cancellation (SCAN), belief_propagation (BP), and soft_successive_cancellation_list (SSCL) can be utilized in TPC. On the other hand, using a simple scaling factor scheme to minimize the overestimation of extrinsic information and its correlation with intrinsic information can further improve performance. Different termination techniques are proposed in the literature to reduce the required number of iterations, especially at high SNR. Error detection and correction systems are utilised to reduce energy consumption. This paper reviews some of the recent decoding techniques used in TPC. [ABSTRACT FROM AUTHOR]