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High fiber co-products from the copra and palm kernel industries are by-products of the production of coconut oil and palm kernel oil. The co-products include copra meal, copra expellers, palm kernel meal, and palm kernel expellers. All 4 ingredients are very high in fiber and the energy value is relatively low when fed to pigs. The protein concentration is between 14 and 22 % and the protein has a low biological value and a very high Arg：Lys ratio. Digestibility of most amino acids is less than in soybean meal but close to that in corn. However, the digestibility of Lys is sometimes low due to Maillard reactions that are initiated due to overheating during drying.Copra and palm kernel ingredients contain 0.5 to 0.6 % P. Most of the P in palm kernel meal and palm kernel expellers is bound to phytate, but in copra products less than one third of the P is bound to phytate. The digestibility of P is, therefore, greater in copra meal and copra expellers than in palm kernel ingredients. Inclusion of copra meal should be less than 15 % in diets fed to weanling pigs and less than 25 % in diets for growing-finishing pigs. Palm kernel meal may be included by 15 % in diets for weanling pigs and 25 % in diets for growing and finishing pigs.Rice bran contains the pericarp and aleurone layers of brown rice that is removed before polished rice is produced.Rice bran contains approximately 25 % neutral detergent fiber and 25 to 30 % starch. Rice bran has a greater concentration of P than most other plant ingredients, but 75 to 90 % of the P is bound in phytate. Inclusion of microbial phytase in the diets is, therefore, necessary if rice bran is used. Rice bran may contain 15 to 24 % fat, but it may also have been defatted in which case the fat concentration is less than 5 %. Concentrations of digestible energy（DE） and metabolizable energy（ME） are slightly less in full fat rice bran than in corn, but defatted rice bran contains less than 75 % of the DE and ME in corn. The concentration of crude protein is 15 to 18 % in rice bran and the protein has a high biological value and most amino acids are well digested by pigs. Inclusion of rice bran in diets fed to pigs has yielded variable results and based on current research it is recommended that inclusion levels are less than 25 to 30 % in diets for growing-finishing pigs, and less than 20 % in diets for weanling pigs.However, there is a need for additional research to determine the inclusion rates that may be used for both full fat and defatted rice bran.

The concept of sustainable development integrates activities in the economic, environmental and social areas. Energy policy, which is very closely linked to climate protection, is of key importance for achieving the goals of the concept in question. All these elements are connected by the European Green Deal strategy and Agenda 2030. Their implementation requires the evaluation of previous actions undertaken within the framework of sustainable development and the diagnosis of the current state. Therefore, this article presents the results of such research in relation to the key industry connected with this process, which is the energy sector. The research methodology was based on the analysis of 14 indicators that characterize four basic areas (dimensions) related to energy and climate sustainability. These indicators concern energy and climate as well as social and economic issues. This approach makes it possible to comprehensively assess the actions taken so far in the implementation of sustainable economic development in the energy and climate area in the European Union (EU) countries. The entropy-complex-proportional-assessment (COPRAS) methodologies, which belong to the group of multiple criteria decision-making methods, were used for this study. The conducted research allowed for the assessment of the changes in the EU countries in terms of energy and climate sustainability between 2009–2018. In addition, the effects of the introduced changes in individual years and in relation to the studied areas (dimensions) were also evaluated. Based on the results, considering the adopted criteria, the EU countries were divided into groups similar to the level of energy and climate sustainability. The results constitute a valuable set of data, which allows for a wide and in-depth multicriteria analysis. This allows for a very objective and broad assessment of the effects of sustainable development policies in the EU countries and the current state in the context of the European Green Deal strategy and Agenda 2030.

This study implemented a circular economy model in processing coconuts into white copra as the main product to achieve a zero-waste production system. Simultaneously, other fruit components, such as shells, fibers, and coconut water, are also processed into products that play a role in supporting the main product directly or indirectly. The processed products obtained were liquid smoke, charcoal briquettes, and tar. The processing of white copra was carried out in the following stages: (i) coconut meat was processed into white copra, while the shell was pyrolyzed into liquid smoke, charcoal, and tar; (ii) liquid smoke was used as a preservative for copra, (iii) charcoal was formed into charcoal briquettes which were used for pyrolysis heating, and (iv) the tar produced was used as a wood preservative. The entire series of research was conducted as a laboratory experiment. The treatment of coconut meat dipping for copra in the concentration of liquid smoke solution was arranged in a randomized block design (RCBD). The data were analyzed by ANOVA and continued with Duncan’s multiple comparisons. Meanwhile, the determination of the components of the results of peeling coconuts and the results of pyrolysis of coconut shells and fibers, as well as the characterization of liquid smoke and charcoal briquettes formed, were carried out by observational experiments. The results of this study indicate that the weight of 100 coconuts of the tall variety sample was 175.1 kg, or an average weight of 1,751 g per coconut. After peeling all the coconuts, the components of meat, shell, fiber, and fruit water were obtained, each weighing 48.9 kg, 23.2 kg, 70.6 kg, and 32.4 kg. Furthermore, 23.2 kg of shells were pyrolyzed and produced liquid smoke, charcoal, and tar of 9,126.70 g, 7,155.52 g, and 574.64 g, respectively, which was the average of three pyrolysis repetitions. Coconut shell charcoal briquettes were formed by mixing charcoal flour with tapioca and water in a ratio of 80:5:10, which formed a homogeneous mixture. The mixture was molded by a hydraulic press with a pressure of 2,000 g.cm-2. Furthermore, the test results of water content, volatile matter, ash, fixed carbon, specific gravity, compressive strength, and calorific value were 7.79%, 13.75%, 2.76%, 68.66%, 0.92 g.cm-3, and 64.22 kg.cm-2, 6,521 caL.g-1, respectively. All the results of the charcoal briquette test parameters met Indonesian and Japanese Standards. In the processing of coconut meat, 25.67 kg of white copra was obtained, which was treated with 12.5% liquid smoke with a quality equivalent to the results of sulfur fumigation, namely, free from fungal infection and the highest oil yield and copra brightness. The results of this study provide new findings that, from one coconut of the tall variety, 489 g of coconut meat and 232 g of shell were produced. From the shell, 91.13 g of liquid smoke and 82.15 g of charcoal briquettes were produced, and 26.67 g of white copra was produced as the main product. This study provided new findings on the circular economy model and the principle of zero waste in white copra production, with the fact that each tall coconut variety produced 489 g of coconut meat and 232 g of shell. From the shell, 91.13 g of liquid smoke and 82.15 g of charcoal briquettes were produced, and 26.67 g of white copra was produced as the main product. This evidence provided new enthusiasm in the business of producing white copra that is financially profitable and sustainable. This study opens up many further studies and studies on the circular economy and zero waste, especially in the processing of coconut products, for example, in the coconut oil, desiccated coconut, brown sugar, and virgin coconut oil industries etc. In addition, it does not rule out the possibility of research accompanied by financial studies.

The green supplier selection (GSS) is a significant part in green supply chain management (GSCM). Choosing optimal green supplier can not only realize the sustainable development of enterprises, but also maximize the utilization rate of resources and diminish the negative effect of environmental issues, which conforms to the theme of green development. As a multiple attribute group decision-making (MAGDM) issue, selecting optimal green supplier is of vital important to enterprises. However, how to select the optimal supplier for enterprises is a great challenge. To handle this issue, a novel picture fuzzy COPRAS (COmplex PRoportional Assessment) method is devised. First, some necessary theories related to picture fuzzy sets (PFSs) are briefly reviewed. In addition, a method called CRITIC (Criteria Importance Though Intercrieria Correlation) is utilized to calculate criteria’s weights. Afterwards, the conventional COPRAS method is extended to the PFSs to calculate each alternative’s utility degree. At last, the designed method is exacted to an application which is related to GSS and there also conduct some comparative analysis to demonstrate the designed method’s superiority. The final results show that the proposed model can be utilized to decide the optimum green supplier.

The purpose of this study is to investigate the position of women in Terengganu's copra industry between 1900 and 1941. Coconut is one of the major crops traditionally farmed in Terengganu, and during this time period, excess coconuts were dried, smoked, and grated to become copra. In Terengganu, the copra sector was intimately linked to women, who were innovators creating a variety of coconut-based food and non-food products, including soap, cooking oil, traditional desserts, and more. Nevertheless, prior studies have mostly disregarded the creative role that women played in Terengganu's copra sector during this time. Studies on women from Terengganu have instead concentrated on handicrafts, rice farming, commerce, and fishing. This historical study highlights women's creative innovation and also examines the importance of copra as a crucial export commodity of the state. In addition to secondary sources, primary sources for this project included archival files from the State Secretary of Terengganu, CO 840/1 (Terengganu Administrative Reports, 1910-1930), CO. 840/2 (Terengganu Administrative Reports, 1931-1940), the National Archives of Malaysia, and the National Archives of Kew Garden in London. The results show that in the early 20th century, Malay women made noteworthy contributions to Terengganu's copra sector. As a result, the Terengganu government acknowledged the production of copra as a vital export during this period.

In this study, CaO nanoparticles were synthesized by burning. Utilizing temperature programmed reduction (TPR) techniques, X-ray diffraction (XRD) analysis and, oxygen storage capacity (OSC), the structure and the Raman spectroscopy of the nanoparticles were evaluated. Data was collected by running a diesel engine using \"B25-CaO\" fuel mixtures under operating conditions as 20%, 50% and 80% of its maximum load with a constant speed of 1600 rpm. To evaluate the engine outputs, the Analysis of Variance method was used. The CaO nanoparticles have a spinel shape and could store 13580 μmol/g of oxygen. The amount of exhausted particles was significantly reduced when B25 and CaO were combined. The emissions of carbon monoxide, particulate number, particulate matter, and hydrocarbon saw average reductions of 13%, 27%, 31% and 47.8%, respectively. Analysis of the soot particles' internal structures showed that the B25-CaO blend had well-organised particles surrounding the core's periphery. In order to rank the possibilities, the COmplex PRoportional ASsessment (COPRAS) approach was applied using the experimental data, which comprised all the parameters that were explored. For various engine loading circumstances, the optimisation analysis indicates that B25-CaO is a viable option to operate the engine at 50% load efficiency.

Bioenergy is a kind of renewable energy that can potentially contribute to a broad spectrum of economic, environmental, and societal objectives and aid sustainable development. The assessment, management, and monitoring of the diverse bioenergy production technology alternatives are complex in nature and deliver different benefits due to the lack of precise and comprehensive data. Selection of an optimal bioenergy production technology (BPT) alternative is considered a complex multi-criteria decision-making (MCDM) problem that involves many incompatible tangible and intangible as well as qualitative and quantitative criteria. The procedure of defining and evaluating the weights of the criteria is an important concern for decision experts because the assessment and the final selection of the BPT alternative are carried out on the basis of the defined set of criteria. Intuitionistic fuzzy sets (IFSs) have received considerable attention due to their ability to handle the imprecision and vagueness that can arise in real-life situations. Thus, this study presents an integrated approach, based on stepwise weight assessment ratio analysis (SWARA) and complex proportional assessment (COPRAS) approaches, for the selection of BPT alternatives. In the integrated framework, criteria weights are determined by the SWARA procedure, and the ranking of BPT alternatives is decided by the COPRAS method using IFSs. The criteria weights evaluated by this approach involve the imprecision of experts’ opinions, which makes them more comprehensible. To express the efficiency and applicability of the integrated framework, a BPT selection problem is presented using IFSs. In addition, this study involved sensitivity analysis with respect to various sets of criteria weights to reveal the strength of the developed approach. The sensitivity analysis outcomes indicate that the agricultural and municipal waste of biogas (S3) consistently secures the highest rank, despite how the criteria weights vary. Finally, a comparative study is discussed to analyze the validity of the obtained result. The findings of this study confirm that the proposed framework is more useful than and consistent with previously developed methods using the IFSs environment.

In 1929, the steel-hulled barquentine Alexa was destroyed by fire while loading copra, a notoriously unstable cargo, in Butaritari, Kiribati. The ship was the last commercially operated square-rigged sailing vessel on Australian articles. The Dutch-built, Chinese-Australian-owned, New Zealand registered, multi-nationally crewed ship participated in the marginal copra trade from Micronesia to Australia and was serviced by an I-Kiribati population exposed to inequality and exploitation. War in the Pacific and poor returns on island copra relegated Kiribati to commercial obscurity, but Australian operators left the wrecks of at least four of their ships in Butaritari, including Alexa, along with service and commercial infrastructure that together forms a unique maritime cultural landscape. This article discusses initial research into the cultural landscape of the Australian copra trade in Butaritari and examines the potential of archaeological investigations of the site.

Copra (dried coconut) is used for oil production and raw materials for its by-products. Traditionally, Coconuts are halved and sun-dried in the field. Fumigation using sulphur is employed in the industry to maintain its colour and prevent microbial growth from inhibiting it. The proposed study aims to classify the sulphur-fumigated copra and normally dried copra to benefit the buyers. Images of copra were collected from various drying industries and segmented to exclude irrelevant parts. A novel approach is introduced by combining GLCM (Gray-Level Co-Occurrence Matrix) features with features extracted from four transfer learning models. These concatenated features were evaluated using various machine learning classifiers and neural networks. Among the classifiers tested, Neural Network-based Pattern Recognition (NNPR) achieved the highest accuracy of 99.6%, sensitivity of 99.64%, specificity of 99.64%, F1-Score of 99.6, and a Kappa score of 0.99, demonstrating its superior performance. Other classifiers, such as Logistic Regression (98.3% accuracy, 0.96 Kappa), Kk-Nearest Neighbour (KNN) (98.3% accuracy, 0.96 Kappa), and Random Forest (98.9% accuracy, 0.97 Kappa), also performed well but slightly lower than the neural network. This methodology outperforms existing literature and provides a robust solution for accurately classifying sulphur-fumigated copra, ensuring its practical utility for farmers and buyers in the copra industry.

In this article, we develop the COPRAS model to solve the multiple attribute group decision making (MAGDM) under single-valued neutrosophic 2-tuple linguistic sets (SVN2TLSs). Firstly, we introduce the relevant knowledge about SVN2TLSs in a nutshell, such as the definition, the operation laws, a few of fused operators and so on. Then, combine the traditional COPRAS model with SVN2TLNs, and structure as well as elucidate the computing steps of the SVN2TLNCOPRAS pattern. Furthermore, in this article, we propose a method for determining attribute weights in different situations relying on the maximizing deviation method with SVN2TLNs. Last but not least, a numerical example about assessing the safety of construction project has been designed. And for further demonstrating the advantage of the new designed method, we also select a number of existed methods to have comparisons. First published online 13 January 2021