bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pengaruh Perbedaan Mordan Terhadap Hasil Pencelupan Pada Bahan Katun Menggunakan Ekstrak Kulit Buah Kopi (Coffea)
Authors: Saadah Saadah , Efi Agusti 
Published: July 2021

Abstrak

Perkembangan warna tekstil dengan zat kimia banyak membawa dampak negatif terutama bagi lingkungan dan kesehatan kulit. Oleh sebab itu orang kembali menggunakan zat warna alam, maka dalam penelitian ini meneliti kulit buah kopi untuk zat warna alam.
Jenis penelitian ini merupakan penelitian eksperimen. Data yang digunakan adalah data primer yang bersumber dari 15 orang panelis, kemudian data yang terkumpul diolah dan dianalisis menggunakan Uji Friedman K-Related Sample dan persen dengan SPSS (Statistical Product and Service Solution) Versi 21.0. penulis melakukan eksperimen kulit buah kopi menjadi ekstrak warna dengan perbndingan 1:10 menggunakan mordan asam cuka, soda kue dan kapur sirih.
Pencelupan bahan katun dengan ekstrak kulit buah kopi (Coffea) menggunakan mordan asam cuka Off-White dengan kode warna #1DBCA dan kerataan warna yang rata, pencelupan ekstrak kulit buah kopi (Coffea) menggunakan mordan soda kue menghasilkan warna Wheat Lihgt Brown dengan kode warna #FDB4D4 dan kerataan warna yang cukup rata, pencelupan ekstrak kulit buah kopi (Coffea) menggunakan mordan kapur sirih menghasilkan warna Sepia Brown dengan kode warna #974706 dan dengan kerataan warna yang rata. pada kerataan warna menunjukkan hasil 0,528 > 0,5 yang artinya HO diterima. artinya tidak terdapat pengaruh yang signifikan akibat perbedaan mordan terhadap kerataan warna dalam pencelupan bahan katun.

Kata Kunci: pengaruh, perbedaan mordan, pencelupan, bahan katun, ekstrak kulit buah kopi

Abstract
The development of textile colors with chemicals has many negative impacts, especially on the environment and skin health. Therefore people re-use natural dyes. So in this study, the authors examined the skin of coffee fruit for natural dyes.
This type of research is experimental research. The data used are primary data sourced from 15 panelists, then the collected data is processed and analyzed using the Friedman K-Related Sample Test and percent with SPSS (Statistical Product and Service Solution) Version 21.0. The author conducted a coffee fruit skin experiment into a color extract with a ratio of 1:10 using mordan vinegar, baking soda, and whiting .
Immersion of cotton with coffee fruit skin extract (Coffea) using mordan acid vinegar Off-White with color code # 1DBCA and flat color uniformity, dyeing coffee fruit skin extract (Coffea) using mordan soda cake to produce Wheat Light Brown color with color code # FDB4D4 and fairly flat color evenness, immersion extract of coffee fruit skin (Coffea) using mordan whiting produces Sepia Brown color with color code # 974706 and with flat color evenness. on the flatness of color shows the results 0.528> 0.5, which means that HO is accepted. meaning that there is no significant effect due to differences in mordan on the evenness of color in dyeing cotton.
Keywords: influence, differences in mordan, dyeing, cotton, coffee skin extract
PENGGUNAAN MODEL PROBLEM BASED LEARNING DALAM MENGATASI PERMASALAHAN IPA TEMATIK DI SD
Authors: JS SUNDARI , Fitria Yanti 
Published: July 2021

Pemblajaran tematik merupakan pembelajaran yang menggabungkan beberapa mata pelajaran yang saling berkaitan satu sama lain yang digabungkan dalam satu tema pembelajaran. Pembelajaran IPA adalah salah mata pelajaaran yang terkait dalam pembelajara tematik. Pembelajaran IPA merupakan ilmu yang berhubungan dengan alam dan kebendaan, yang disusun secara sistematis melaui percobaan dan pengamatan sehingga dapat memecahkan suatu masalah dan memperoleh hasil yang berlaku tidak hanya pada satu orang melainkan pada beberapa percobaan dengan hasil yang sama dan konsisten. Dalam pelaksanaan pembejaaran IPA tematik terdapat beberapa kendala yang memunculkan permasalahan dalam pembelajaran, sehingga dibutuhkan model pembelajaran yang cocok untuk dapat mengatasi permaslahan tersebut. Salah satu model pemblajaran yang digunakan adalah model problem based learning, yang berbasis masalah, yang melibatkan siswa untuk menemukan pemecahan masalah.
An Integrated Lean Six Sigma Approach to Modeling and Simulation: A Case Study from Clothing SME
Authors: Nedra Abbes , Néjib Sejri , Boubaker Jaouachi , Morched Cheikhrouhou 
Published: July 2021

Abstract
To improve quality, production, and service delivery, clothing industries look toward continuous improvement approaches such as lean manufacturing, Six Sigma, and Lean Six Sigma (LSS). Simulation is one of the effective methods which aim to examine different solution scenarios. This study explores how LSS and simulation can be integrated based on the Sim-Lean approach, using a process improvement effort in clothing small–medium enterprises (SMEs). A structured framework integrating these research methodologies is developed, which might benefit a variety of future clothing process improvement efforts, and could inform quality improvement efforts in other industries. The aim is to allow a successful implementation of the approach in the clothing industry to improve the lead time, the daily output, the average staying times (min) of jobs waiting in queues, and the resource utilization.
Prediction of Standard Time of the Sewing Process using a Support Vector Machine with Particle Swarm Optimization
Authors: Shao Yibing , Ji Xiaofen , Zheng Menglin , Chen Caiya 
Published: July 2021

Abstract
Standard time is a key indicator to measure the production efficiency of the sewing department, and it plays a vital role in the production forecast for the apparel industry. In this article, the grey correlation analysis was adopted to identify seven sources as the main influencing factors for determination of the standard time in the sewing process, which are sewing length, stitch density, bending stiffness, fabric weight, production quantity, drape coefficient, and length of service. A novel forecasting model based on support-vector machine (SVM) with particle swarm optimization (PSO) is then proposed to predict the standard time of the sewing process. On the ground of real data from a clothing company, the proposed forecasting model is verified by evaluating the performance with the squared correlation coefficient (R2) and mean square error (MSE). Using the PSO-SVM method, the R2 and MSE are found to be 0.917 and 0.0211, respectively. In conclusion, the high accuracy of the PSO-SVM method presented in this experiment states that the proposed model is a reliable forecasting tool for determination of standard time and can achieve good predicted results in the sewing process.
Influences of different sources and levels of crude fiber on performances, fatty acids profile and carcass traits in growing-fattening pigs’ diet
Authors: Cornescu Gabriela Maria , Panaite Tatiana , Ropota Mariana 
Published: July 2021

Abstract
The present study has investigated the potential of including different sources and levels of fiber (6.5% and 7.5%) in growing-fattening pigs’ diet. The nine weeks feeding trial was conducted on nine hybrids TOPIGS castrated males with an initial average weight of 25.25±2.11 kg, randomly assigned to 3 experimental groups with 3 replicates per group.
The control group (C) was fed with a corn, wheat and soybean basal diet and it was characterized by 3.5% crude fiber (CF), the experimental groups E1 had 6.5% CF (4% alfalfa meal and 12.36 % sunflower meal) and E2 had 7.5% (6% alfalfa and 18.38% sunflower meal) decreasing the dietary rate inclusion of soybean meal from C (21.42% soybean meal). Bodyweight (initial, final), average daily feed intake (ADFI), leftovers were registered and average daily gain (ADG), feed conversion ratio (FCR) were calculated during the experiment. At the end of the study, the pigs were slaughtered for the determination of carcass traits and meat quality parameters. The productive performances were not influenced by the source or level of the fiber content. The saturated fatty acid (SFA) values were significantly different (P<0.05) in E1 group for shoulder and belly samples compared to C and for breast samples on E2. Higher MUFA concentrations significantly different (P<0.05) were noticed for ham, sirloin, rack, shoulder, breast on E1. PUFA, Ω:6 concentration shown significant differences (P<0.05) within E2 to all meat samples collected, except the neck.
The best carcass classification results were recorded in the E1 with 6.5% cellulose (50% Class S and 50% Class E) according to the SEUROP system classification.
The study concluded that the dietary percentages of alfalfa meal and sunflower meal did not compromise productive performances but the average muscle thickness and meat percentage registered lower values compared with group C. Further studies with the same raw materials but changing the inclusion percentages should have experimented with emphasis on carcass traits results.
The effects of a low dose OTA exposure on weanling piglet gut microbiota
Authors: Grosu Iulian Alexandru , Cismileanu Ana Elena , Marin Daniela Eliza , Taranu Ionelia 
Published: July 2021

Abstract
Feed contamination is a major concern to the pig farming industry. There is a growing concern towards the harmful effects that mycotoxins and especially ochratoxin A have on the overall health and development of pigs.
However the deleterious effects on the gastro-intestinal microbiota has not been studied thoroughly, especially at a low dose exposure. The current study proposed to investigate the effect of a sub-chronic dose of OTA on some of the important bacterial populations colonizing the pig gut as well as assessing the impact on SCFA production. The changes induced in bacterial populations not only affect the immune system of the pig but also influence the development of the mycotoxicosis. This paper highlights the impact of 0.05mg/kg feed of OTA on the large intestine microbiota and on the SCFA production associated with it.
Use of brewer’s yeast (Saccharomyces cerevisiae) in broiler feeds to replace corn gluten meal with or without probiotic additives
Authors: Ciurescu Georgeta , Dumitru Mihaela , Gheorghe Anca 
Published: July 2021

Abstract
This study was intended to assess the effect of graded replacements of corn gluten meal with Brewer’s yeast (Saccharomyces cerevisiae), with and without Bacillus megaterium supplementation, on performance, carcass characteristics, and the gut broilers microflora composition. A total of 720 mixed sex one-day-old broiler chicks (Ross 308) were randomly assigned to six dietary treatment groups (6 replicates each) in a 3 × 2 factorial arrangement, including 3 levels of Brewer’s yeast (BY; 0, 25, and 50%, to replace corn gluten meal; CGM) in the presence (+) or absence (−) of B. megaterium used as probiotic (Pro). The results showed that broilers fed diets containing BY up to 25% had comparable body weight (BWG), feed intake (FI), and feed conversion ratio (FCR) to the birds fed only CGM, over the entire feeding period (days 1–35). Conversely, higher levels of BY (50% replacing CGM) registered the lowest BWG values (P < 0.001) and impaired FCR (P < 0.010), but without effects on FI. The BY diets did not significantly affect the main broiler’s carcass traits. The diets with Pro did not involve modifications on carcass and organs size, but a tendency to increase the gizzard weight (P = 0.094) and to decrease SIL (P = 0.076) was observed. Pro addition also, reduced the cecal pH (P = 0.040) and diminish the total coliforms (P < 0.010), Clostridium spp. (P < 0.0001), and E. coli (P < 0.0001) count, whereas LAB, Bacillus spp., and Enterococcus spp. bacteria were increased (P = 0.022; P < 0.0001, and P < 0.0001, respectively).
Bioindication of Aerotechnogenic Pollution of Agricultural Landscapes Caused by the Activities of Industrial Hubs
Authors: Fedoniuk Tetiana , Fedoniuk Roman , Klymenko Tetiana , Polishchuk Oleh , Pitsil Andrii 
Published: July 2021

Abstract
The article provides the assessment of the levels of aerotechnogenic pollution caused by the emissions from stationary pollution sources of industrial agglomerations in Zhytomyr, taking into account climatic conditions that affect the dispersion and accumulation of pollutants in soils and vegetation cover of surrounding agricultural landscapes. The examination of dust accumulated on the surface of leaves showed that it contains high concentrations of Mn, Cr, Pb, Ni, and Cu. The bioindication method with the use of white-tip radishes was applied to estimate the extent of aerotechnogenic pollution. The results of the investigation testified to the high informativeness of the offered test objects. The indexes of soil saturation with heavy metals indicated the presence of intensive processes of their accumulation. As a consequence, this territory became unsuitable for agricultural production. The inhibition of growth of radish roots identified the toxicity level of the investigated technogenic substrates as medium and higher than average. Also, there is inverse close correlation relationship between the distance from the emission source and the soil phytotoxicity indicators in all the investigated directions.
Spatial Analysis of Erosion and Quantification of Soil Losses in Western Algeria
Authors: Belgherbi Benamar , Benabdeli Kheloufi 
Published: July 2021

Abstract
The objective of this study is to establish a soil loss map of a region located in western Algeria allowing the spatialization of erosion models, deposition, and quantification of soil loss. The model applied is Universal Soil Loss Equation (USLE), wich was developed by Wischmeier and Smith. The map of current soil losses derived from it shows five areas: very low, low, medium, strong, and very strong. The significant loss in soil areas is located in most of the south of the area, the upstream mountains part, and a portion to the northwest of the region. They cover an area of 16,805 ha (15.27%) of the study area. The remainder of area constituting unrigged flat terrain accounts for a loss in low soil. The latter receives all the solid contributions which are deposited there constituting an important deposit.
Assessing Habitat Suitability for the Common Pochard, Aythya Ferina (Anseriformes, Anatidae) at different Spatial Scales in Orel’ River Valley, Ukraine
Authors: Ponomarenko Olexander , Banik Myhaylo , Zhukov Olexander 
Published: July 2021

Abstract
The habitat suitability for the Common Pochard, a duck species in decline, was studied in the middle reaches of the Orel’ River, Central Ukraine, in 2015–2017. The ducks were counted on their breeding grounds with the use of the ground survey technique. The positions of individual birds were estimated by GPS and plotted on the Google Earth map. The Ecological Niche Factor Analysis (ENFA) was applied to assess the habitat suitability. Sentinel-2 image was used to extract 13 ecogeographical variables and to get two measures of the ecological niche (marginality and specialization). The ENFA procedure was applied twice at landscape and sub-landscape levels to describe the habitat selection across sequential spatial scales. Both the axes of marginality and specialization of the ecological niche of the species proved to be significantly different from the random alternatives. At landscape level, the distribution may be predicted with the use of Aerosol/Coastal, Vegetation and Hydrothermal Composite indices (marginality) and Modified Normalized Difference Water (MNDW) Index along with several vegetation indices (specialization). At sub-landscape level, MNDW played a crucial role. The importance of MNDW is mediated by the preference for the wetlands with the stretches of open water which are used by the ducks to initiate flight safely and to optimize diving possibilities. The ENFA is a reliable tool for the assessment of the habitat suitability and for setting the conservation priorities for the Common Pochard.
Influence of Synthetic Flavorings on the Migration Activity of Tribolium confusum and Sitophilus granarius
Authors: Titov Oleksii , Brygadyrenko Viktor 
Published: July 2021

Abstract
Flavorings and volatile biologically active substances, used by humans for various purposes, may potentially have fumigating, repellent, or attractive effects on various species of anthropod storage pests. Tribolium confusum Jacquelin du Val, 1863 (Tenebrionidae) and Sitophilus granarius (Linnaeus, 1758) (Curculionidae) are the two most abundant pests of grain and grain products; the damage they cause to stored products of horticulture is 5–20% of the total yield of grain crops. In the experiment, we video-recorded migratory activity of beetles and evaluated it according to standard time periods (10, 20, 30, 60, and 120 seconds after the start of the experiment). No reliable influence of the 15 tested flavoring substances (benzyl alcohol, benzoic acid, toluene, hydroquinone, phenethyl alcohol, pinene, methylparaben, kojic acid, formic acid, isoamyl alcohol, tartaric acid, glycine, succinic acid, stearic acid, and ethylenediaminetetraacetic acid) on moving activity of Tribolium confusum was found. Exposure to benzyl alcohol brought a reliable decrease in locomotor activity of Sitophilus granarius (it exerted an attractant effect on imagoes as compared with the variant of the experiment without aromatic substances): 6.09 times more imagoes of S. granarius remained at a minimal distance from the aroma source than in the control, 6.07 more while exposed to hydroquinone, 5.50 to phenethyl alcohol, 4.50 to glycine, 3.44 to EDTA, 3.30 to toluene, 3.18 to methylparaben, 2.84 to succinic acid, 2.65 to benzoic acid, and 2.15 more when exposed to formic acid compared with the control variant of the experiment. Other surveyed flavoring substances (benzyl alcohol, pinene, kojic acid, isoamyl alcohol, tartaric acid, and stearic acid) had no significant effect on migratory activity of imagoes of S. granarius. The results allow us to recommend benzyl alcohol, hydroquinone, phenethyl alcohol, and glycine as potential luring substances or components of multicomponent flavoring mixtures during the assessment of the number of S. granarius in grain storage and processing facilities.
Temporal Aspect of the Terrestrial Invertebrate Response to Moisture Dynamic in Technosols formed after Reclamation at a Post-Mining Site in Ukrainian Steppe Drylands
Authors: Zhukov Olexander , Kunah Olga , Fedushko Marina , Babchenko Anna , Umerova Ava 
Published: July 2021

Abstract
Different approaches were applied to assess soil moisture optima and tolerance of the ecological niche temporal projection of terrestrial invertebrates within an experimental polygon created to investigate the reclamation processes after deep underground hard-rock mining in the Ukrainian steppe drylands. Sampling was carried out in 2013–2015 on a variant of artificial soil (technosols). To investigate the spatiotemporal variation in the abundance, species richness and species composition of invertebrate assemblages the animals were sampled using pitfall traps. The readily available water for plants, precipitation, wind speed, atmospheric temperature, atmospheric humidity, and atmospheric pressure were used as environmental predictors. The two-dimension geographic coordinates of the sampling locations were used to generate a set of orthogonal eigenvector-based spatial variables. Time series of sampling dates were used to generate a set of orthogonal eigenvector-based temporal variables. Weighted averaging, generalized linear mixed models, Huisman-Olff-Fresco models expanded by Jansen-Oksanen, correspondence analysis, and constrained correspondence analysis were used to estimate soil moisture species optima and tolerance. The moisture content in the technosols was revealed to be the most important factor determining the temporal dynamics of terrestrial invertebrate community in conditions of semi-arid climate and the ecosystem which formed as a result of the reclamation process. The species response to the soil water content is affected not only by the soil water content but also by the complex of the other environmental, temporal, and spatial factors. The effect of other factors on the species response must be extracted previously to find real estimations of the species optima and tolerance.
The Promethee II Method in Multi-Criteria Evaluation of Cryptocurrency Exchanges
Authors: Kądziołka Kinga 
Published: July 2021

Abstract

Subject and purpose of work: The aim of this work is to present the application possibilities of ECONOMIC AND REGIONAL STUDIES STUDIA EKONOMICZNE I REGIONALNE ISSN 2083-3725 Volume 14, No. 2, 2021 ECREG STUDIES Vol. 14, No. 2, 2021 the weights of criteria is proposed, which maximizes the similarity of the final ranking to the other ones.

Materials and methods: PROMETHEE II method and taxonomic measure were used to create rankings of exchanges. Hierarchical clustering combined with the k-means algorithm www.ers.edu.pl PDF OPEN ACCESS eISSN 2451-182X available data published on the Internet were analysed.

Results: There was a high consistency in the ordering of exchanges when a multi-criteria and a multi-dimensional approach were used. Four groups of exchanges with a similar level of the values of net flows were identified. Exchanges in group one were characterized by the highest average net flows.

Conclusions: The multi-criteria approach can be used as an alternative to the multi-dimensional assessment of cryptocurrency exchanges. The proposed simulation method for determining the weights of criteria can be helpful in case the researcher has no information about the importance of the criteria.
Emigration to the Kingdom of the Netherlands as a Perceived Opportunity by Young People
Authors: Siedlanowski Paweł 
Published: July 2021

Abstract

Subject and purpose of work: The article is devoted to factors influencing the migration decisions of young Poles to the Kingdom of the Netherlands, and to showing the differences in their perception of the country of emigration and the country of immigration. The elements of youth policy in Poland and the Netherlands were also presented. The hypothesis adopted in the paper was that the decisions of young people in the labor market are mainly influenced by short-term financial aspects.

Materials and methods: The observations and assessments used in the article were formulated based on the research literature on the subject, the statistical data collected by the institutions of Poland, the Kingdom of the Netherlands and the European Union, a questionnaire survey and own experiences gained from mobility.

Results: The article outlines the course of migration trends of Poles and presents the causes of changes in the choice of the destination country for migration. It presents factors encouraging young people to take up employment in the country and those encouraging them to search a job abroad, specifically in the Netherlands. The barriers and facilities that may be encountered by young people seeking employment in the labor market in both countries were indicated. The reasons for the emigration of young people from Poland were discussed based on the results of the current study, that is a 400-person research sample obtained from an online survey. The aim of the study was to identify three important factors influencing the decision to emigrate and to evaluate this decision.

Conclusions: The conducted analysis shows the complexity of the problems of migration of young people. Economic, political, social, cultural, and environmental factors have a significant influence on the decisions made. From the point of view of young people, the unattractive domestic labor market in terms of finance and development, and all the resulting consequences are the biggest problems.