Raw Material Prices Research Articles

ВЛИЯНИЕ САНКЦИЙ НА САМОРАЗВИТИЕ МЕСТНЫХ СООБЩЕСТВ РОССИЙСКОЙ АРКТИКИ И КРАЙНЕГО СЕВЕРА

The article presents the results of a sociological analysis of the opinions of experts – the heads of a number of municipalities (MO) of the Russian Arctic and the Far North on assessing the degree of impact of anti-Russian sanctions on the processes of self-development of the MU of the specified territory. Problems associated with sanctions (rising prices for raw materials, equipment, reduction in investments, difficulties in import substitution, violations in supply logistics, etc.) are identified. Estimates are revealed for the development of a number of measures to support the economic sphere of the Moscow Region (modernization of production, concessional lending, subsidizing investors, etc.).

КРИЗОВІ ПЕРІОДИ РИНКУ ДРУКОВАНИХ МЕДІА УКРАЇНИ (2000-2022 рр.)

Scientific research has analyzed the state of the print media market in Ukraine over the past twenty years. Crisis periods of media development are singled out, in particular, special attention is paid to the COVID-19 pandemic. In addition to catalyzing drastic changes in the print media market in Ukraine, factors have been identified that significantly affect the development of the general media market: digitalization, destruction of logistics, periodicals, outflow of advertisers from traditional media, rising raw material prices, lack of subscription culture. alternative. In the consumer information market today, there is a change in the sources of information retrieval, resulting in the primacy of social networks and search services. This indicates that traditional media are exhausting themselves as the main source of information consumption among the population.Peculiarities of the development of the print media market in Ukraine in the period 2000-2021 are associated with many objective and interdependent factors that have certain and specific characteristics. This thesis is confirmed by the dynamics of the issue of newspapers and supplements during 2013-2020, when the actual output of print media decreased by 31%. We managed to identify three key periods: 2008 - economic crisis (publications reduced their budgets, and some did not stay on the market); 2013–2014 - the second economic crisis (reduction of editorial budgets and closure of publications); 2019 and until 2021. - COVID-19 pandemic. The set of three crisis periods, as a result of which the factors identified in the study, are the main characteristics of the development of the modern print media market in Ukraine. Also, given the Russian aggression, another period needs to be singled out now - the Russian-Ukrainian war of 2022, which completely destroyed the logistics of printing and distribution of print media and the advertising market, and the information market in general has undergone significant changes. The print media market has experienced and still suffers from a shortage of money, which generates the following consequences: 1) falling revenues from both subscriptions and advertising; 2) reduction of staff in the media; 3) reduction of financial remuneration of journalists.

Analyzing the Factors Affecting the Price of Broiler Chicken in Turkey Using the Boosting Regression Method

Investigating the factors that affect broiler chicken prices in Turkey is vital for understanding market formation. The parameters and factors likely to influence the price of broiler chicken were analyzed for the period between 2010-2020 in Turkey. The study adopted the boosting regression model to predict the correlation between broiler chicken consumer price and variable factors like broiler feed, corn, soybean meal, wheat prices, the dollar exchange rate, producer price index (PPI), and agricultural PPI. The accuracy of the estimation of the regression model created according to the results of the analysis was calculated as 86%. The producer price index variable caused the highest relative impact (25.63%) on broiler chicken meat prices. The highest positive correlation was obtained between the producer price index and the agricultural PPI (r = 0.984). Thus, it was determined that chicken prices were affected by feed raw material prices and the general economic conditions in Turkey. In addition to improving the prevailing economic conditions, an effective price control mechanism is required to prevent excessive price fluctuations in the sector. Simultaneously, it is essential to create policies to reduce input costs.

Column generation approach for solving uncapacitated dynamic lot-sizing problems with time-varying cost

This study proposes the column generation approach for generating the uncapacitated dynamic lot-sizing problem solution under time-varying cost. The dynamic programming approach is also applied to calculate the cost function value. However, this column generation approach generates only an optimal lot size at period 1. Therefore, using the consistent arc method, search the connecting arc from period 1 to period N. Comparing the lot sizes generated by the proposed and the dynamic programming methods, they are the same value. Therefore, they are an optimal solution. Using GUROBI's simplex method can enhance to reduce the running time on dense matrices to be less than the original simplex method, about 25.4% and 26.1% for 12 and 24 periods. The lowest raw material fluctuation price period is selected obviously to order so that the total inventory cost will still be minimal. Therefore, the raw material price significantly influences procurement decision-making.

Study for Whitening Effect, Antioxidant and Anti-wrinkle Activity of Tapioca-unhulled Barley Dried Distiller's Grains with Solubles

This study intends to present the value of use as an eco-friendly, bioactive functional material by utilizing the undervalued tapiocaunhulled barley dried distiller's grains with solubles (TBDDGS). The physiological activity of TBDDGS presented through whitening activity, antioxidant activity, and anti-wrinkle effect. As a result of measuring the mushroom tyrosinase inhibitory activity in the hot water extracts of TBDDGS, the extracts showed 1.21% at 20 mg/mL concentration, 7.39% at 50 mg/mL concentration, and 25.78% at 100 mg/mL concentration, depending on the concentration of the extracts. The radical scavenging ability of DPPH was 28.7% at 10 mg/mL concentration, 38.0% at 20 mg/mL concentration, 60.9% at 50 mg/mL concentration, and 80.1% at 100 mg/mL concentration. The collagenase inhibitory activity of the extracts was 92.8% at a 6 mg/mL concentration. Elastase inhibitory activity was 97.8% at 100 mg/mL concentration. From the above results, the collagenase inhibitory activity of the extracts was 92.8% at a 6 mg/mL concentration. The elastase inhibitory activity was 97.8% at 100 mg/mL concentration. Although TBDDGS in this study has lower physiological activity compared to the control group, it was considered to have industrial value as a functional cosmetic raw material in consideration of the advantages of stable raw material supply and price competitiveness as an eco-friendly cosmetic raw material.

Housing prices before and during covid-19 pandemic: A case study of district Mardan, Pakistan

This study aims to know about the housing prices before and during covid-19 in District Mardan Khyber Pakhtunkhwa, Pakistan. Initially covid-19 pandemic occurs in China and spread all over the world. In this study views of different property dealers about the housing sector during Covid 19have been surveyed. In response, different property dealers had different views about the housing sector in district Mardan. This study also explores the condition of deals before covid that what they were faced in housing sector. The property dealers said that the housing sector is badly affected, and the business of housing is stopped. The government of Pakistan did not provide any proper planning about the housing sector and the property dealer are not agreeing with that. The price of raw material is increasing due to Covid 19. In the urban area most of business is affected due to pandemic. In the pandemic the rent payment is affected. The rent payments are postponed due to covid-19 because all the businesses are stop and no one come out from the houses.

Analisis Ketentuan Penetapan Harga Menurut Ibnu Taimiyah Terhadap Penetapan Harga Tahu Di Pabrik Tahu Bapak Durdi Lempong Kecamatan Ketapang Kabupaten Sampang

Pricing is a process to determine how much income will be obtained or received by the company from the products or services produced. Incorrectly setting prices can have various consequences. Price fixing actions that violate ethics can cause business actors to be displeased by buyers or consumers, even buyers or consumers can take a reaction that can bring down the good name of business actors. This study uses a qualitative approach, with data collection techniques using documentation, observation and interviews. The informants are factory owners, employees and sellers and buyers at the Durdi Lempong tofu factory, Ketapang District, Sampang Regency. While checking the validity of the data obtained through extended observations, increased persistence in research and triangulation. Based on the results of the study, the researcher can conclude that: first, the process of determining the price of tofu at the Durdi Lempong tofu factory, Ketapang District, Sampang Regency is based on the price of soybean raw materials, market demand, employee salaries and factory operating costs. Where the costs incurred at the factory will affect the pricing of tofu at the Durdi Lempong tofu factory, Ketapang District, Sampang Regency. Second, in terms of market mechanisms, in general Ibn Taimiyah places great emphasis on the free market principle, namely prices occur naturally from supply and demand factors, purchasing power factors, production cost factors and others without government intervention. So from the free market system adopted by the father of economics Ibn Taimiyah, there is a discrepancy in the Udi Srikandi tofu factory, namely the price of soybean raw materials where the price of the raw material has government intervention

Sustainability Evaluation of Polyhydroxyalkanoate Production from Slaughterhouse Residues Utilising Emergy Accounting.

High raw material prices and rivalry from the food industry have hampered the adoption of renewable resource-based goods. It has necessitated the investigation of cost-cutting strategies such as locating low-cost raw material supplies and adopting cleaner manufacturing processes. Exploiting waste streams as substitute resources for the operations is one low-cost option. The present study evaluates the environmental burden of biopolymer (polyhydroxyalkanoate) production from slaughtering residues. The sustainability of the PHA production process will be assessed utilising the Emergy Accounting methodology. The effect of changing energy resources from business as usual (i.e., electricity mix from the grid and heat provision utilising natural gas) to different renewable energy resources is also evaluated. The emergy intensity for PHA production (seJ/g) shows a minor improvement ranging from 1.5% to 2% by changing only the electricity provision resources. This impact reaches up to 17% when electricity and heat provision resources are replaced with biomass resources. Similarly, the emergy intensity for PHA production using electricity EU27 mix, coal, hydropower, wind power, and biomass is about 5% to 7% lower than the emergy intensity of polyethylene high density (PE-HD). In comparison, its value is up to 21% lower for electricity and heat provision from biomass.

IMPACT OF THE COVID-19 PANDEMIC ON THE INDUSTRIAL SECTOR: IMPLICATIONS FOR ECONOMIC POLICY

The COVID-19 pandemic had a major impact on the economy around the world, damaging many areas of daily life. The industrial sector has been affected by the effects of industrial closures, reduced economic activity, and disruptions in logistics and transportation. The damage caused by the crisis has not yet been specifically assessed, as the industrial sector was not the most affected by the pandemic compared to other sectors of the economy. The subject of the study is the industrial sector of Ukraine and the EU. The aim of the article is to assess the impact of the COVID-19 pandemic on industrial development in Ukraine and the EU, as well as to propose economic policy measures to achieve stabilization in the industrial sector. Since industry is the foundation of economic growth and development, it is necessary to assess the depth of its decline and find possible solutions to get out of the recession. The theoretical analysis of the article is based on recent work by scientists in the field of industrial development, as well as on the authors' developments assessing the impact of the COVID-19 pandemic on the economy. The COVID-19 pandemic created the following problems for Ukraine's economy and industry: a decrease in aggregate global demand and a decline in business activity, which led to lower prices on world commodity markets; strengthening of government regulation; raw-material orientation of Ukraine's exports and the significant dependence of industrial enterprises on world prices for raw materials; transport and logistics problems with raw material supply chains; lower business expectations and reduced investment due to significant uncertainty. The findings showed that the coronavirus crisis hit the industrial sectors mainly in April 2020, leading to a 16.1% decline in industrial production in Ukraine and an 18.6% decline in the EU. Such industries as automobile manufacturing, leather manufacturing, light industry, furniture manufacturing, coal mining, oil and gas extraction were hit the hardest. The following measures to stabilize the industrial sector are proposed: support for domestic demand for the products of industries, namely metallurgy, machine building, and chemical industry, which are mainly export-oriented and very sensitive to changes in global demand; stimulation and development of high value-added production; acceleration of the digitalization process within national borders; support for the industrial sector in its pursuit of environmentally friendly production, and others.

Economical Order Quantity, Safety Stock, dan Reorder Point pada Raw Inventory

This research was conducted with the aim to find out how the management ofinventories of raw materials in UKM FM in times of scarcity and rising rawmaterial prices. The difference between this study and previous studies is thatthe focus of the research is on small and medium enterprises that do notunderstand how to properly manage raw materials. In this study the authorswere directly involved in the observation and interview, so that the datacollected is completely accurate according to research needs. The steps of datacollection including observation, interviews and documentation. The dataanalysis technique used is descriptive qualitative method with EOQ analysis.The results showed that UKM FM in producing its products primarily shreddedfish often run into obstacles that the scarcity of raw materials of fish when theweather is bad, so the level of demand for such raw materials as well asproduction processes become inhibited. Moreover, scarcity of raw materials thatcontributed to rising prices of raw materials and consequently also influence theselling prices come down in consumer demand. To overcome this, the UKM FMdo it with EOQ Analysis, Safety Stock and Reorder Point approach.

Sustainable synthesis of integrated process, water treatment, energy supply, and CCUS networks under uncertainty

This paper proposes a novel framework for synthesis, design and innovation of sustainable integrated processes that combines water, energy, waste treatment and carbon capture, utilization and storage (CCUS) networks together with the overall objective to minimize CO2 emissions and wastes under uncertainty. Compared to the earlier deterministic method (Li et al., 2020), uncertainty of parameters, CCUS as well as extended models for the process, water and energy networks have been systematically addressed in this work. The applicability of the extended method is demonstrated through a case study that considers the xylitol production process together with water, energy and CCUS networks under uncertain raw material prices, product prices and demands. The results show that the multi-network synthesis and design method is able to determine the optimal solution with high economic benefits and zero or low CO2 emissions under uncertainty for different scenarios.

Additive manufacturing-enabled supply chain: Modeling and case studies on local, integrated production-inventory-transportation structure

Additive manufacturing has been adopted in a wide range of application domains (e.g., aerospace, automobile, and consumer goods) owing to its advantages in terms of providing additional manufacturing complexity and enhanced level of customization compared with traditional manufacturing. The adoption of additive manufacturing techniques in production has enabled possibilities for innovating the current supply chain structures by leveraging the unique on-demand and make-to-order production schemes. Current literature on additive manufacturing supply chains is mainly concerned with comparative case studies and simulation-based analyses on centralized and distributed structures; meanwhile, it lacks research that investigates the benefits of unique supply chain structures for additive manufacturing. Hence, in this paper, theoretical models are established to quantify the supply chain costs of traditional and additive manufacturing in the scope of a local, small-sized supply chain for the production, inventory, and transportation of highly customized consumer products. The established models are also applicable for the distinctive, integrated production-inventory-transportation structure enabled by additive manufacturing. Exploratory case studies are conducted, in the context of the insole manufacturing industry. The case study results suggest cost-saving potentials of up to 31.46% when adopting additive manufacturing. Moreover, the case studies demonstrate the impact of some critical parameters and assumptions adopted in the model on the resulting supply chain cost, including order rework rate, rush order ratio, labor’s hourly rate, and raw material price. The results of this research will provide useful insights and guidance on adopting additive manufacturing in production and supply chain operations.

Strategi Pengembangan Usaha Produk Olahan Pangan Lokal Berbasis Telur Asin Kelompok Usaha Ekonomi Masyarakat (Kuem) Desa Sujung

Business Development Strategy for Local Processed Food Products Based on Salt Eggs Community Economic Business Group (KUEM) Sujung Village . The Community Economic Business Group (KUEM) of Sujung Village is a salted egg-based food processing partnership, the KUEM was established as an effort to accelerate the increase in the economic activities of rural communities. The research was conducted at KUEM in Sujung Village, Tirtayasa District, Serang Regency. The purpose of the research is to provide alternative strategies for overcoming problems and strategies for developing KUEM in Sujung Village. The method in this research is the survey method, with a quantitative descriptive approach, and SWOT analysis for problem-solving and alternative strategies in business development carried out by KUEM in Sujung Village. The Sujung Village KUEM business development strategy can do the following: S-O strategies include: a) Improving product quality to attract customers, especially for new products such as Salted Egg Powder. b) The existence of community empowerment for both breeders and food processing. ST strategies that can be applied: a) Maintaining product quality, b) Innovating in product diversification, c) Increasing sales competitiveness, d) Highlighting product advantages, e) Having capital reserves if at any time the price of raw materials rises. Alternatives to overcome business weaknesses, by implementing the WO strategy: a) Conduct training for workers to improve quality and production output, b) Increase business capital, c) Create new flavors, d) Expand marketing through social media to make the product better known to the public. outside Banten. WT Strategy: a) Maintaining good relations with customers and distributors of processed products and suppliers of raw materials, b) Observing business competitors' products, c) Expanding marketing channels, d) In the COVID-19 condition, implementing an online marketing system.

Economic and mathematical modeling of long-term development of national industry in the conditions of digitalization with the use of a production function

The article substantiates the expediency of modeling the development of national industry taking into account how the main interconnected key sectors of Ukrainian economy (not only processing and extractive industries, but also agriculture) are developing, as well as taking into account the factors that cause changes in this development over time. Based on previous researches, multiplicative production function has been chosen as the base for building the model, which was modified by taking into account the peculiarities of the Fourth Industrial Revolution and the specifics of individual industries in Ukraine. The economic-mathematical model of long-term development of specified branches of economy of Ukraine in the conditions of digitalization was proposed, in which the value added in the branch is the dependent variable, and the classic components of production functions (labor and the capital) are the independent variables, as well as the new factor – digitalization, and factors, specific to individual industries (world food price index for agriculture and world raw material price index for the extractive industry). A specific feature of the model is also the use of correction factors that reflect the change in the return of factors over time and increase the accuracy of calculations. In addition, separate models have been developed to calculate each of the main factors, based on the dynamics of investments, taking into account the recursive influence of value added, propensity to invest, the condition of the world economy and other specific factors. The calculation of value added in agriculture, extractive and processing industries of Ukraine in 2010-2019 was performed using the model. The adequacy of the model was validated based on the results of its parameterization, which showed sufficient accuracy for the implementation on practice, as the average absolute error of approximation ranges from 2.94% to 4.14% depending on the industry, with abnormal 2014-2015 excluded from the calculations. The value of GDP in the country as a whole was calculated on the basis of the results of value added calculations by key industries. Taking into account the fact that the proposed set of models does not include all industries, a regression model was used to calculate GDP, to which value added for the identified key industries was used as factor. It is established that the proposed model is quite accurate and can be used to calculate the GDP of Ukraine on the basis of value added calculations in agriculture, extractive and processing industries. Given the prospects of practical use of the model for management decisions, the elasticity of the main driving factor (investments) of the development of individual industries was assessed for the main variables, which, in particular, showed that the exchange rate of hryvnia to the US dollar has a negative impact on investments, and the most pronounced – on investments in fixed assets of the processing industry. This questions the widespread idea that the devaluation of the hryvnia stimulates domestic production.

Meeskäsitööliste vestlusring Heimtali laadal 25. septembril 2021 / The current state of artisanal woodwork in Estonia: a roundtable

Why do we expect handicraft to occupy any place at all in our brave digital world? This was the first question asked at the woodcraftsmen’s roundtable held at the Heimtali Fair in Viljandi county on the 25th September, 2021. The purpose of the discussion was to investigate the wider background to men’s handicraft in the framework of the current year dedicated to male artisanship. Three artisan woodworkers joined the roundtable initiated by University of Tartu Viljandi Culture Academy in order to gain an overview of the field and to supply important background aspects. The participants were: Martin Bristol, Priit-Kalev Parts, and Meelis Kihulane. Martin Bristol has been active in starting the Puupank initiative which deals with the procurement of rare and specific wood material. He is also a founder of several platform-craft shops that have been functioning successfully in the old town of Tallinn. Priit-Kalev Parts was the initiator of the native construction study programme at the University of Tartu Viljandi Culture Academy and is also known as a maker of dugout canoes. Meelis Kihulane is renowned for reviving native woodwork and he is an experimental instructor of artisanry. The questions were posed by a long-term associate to the University of Tartu Viljandi Culture Academy in the field of traditional technologies, Madis Rennu.
 The discussion focused on the local entrepreneurial environment and the influence of wider economic space with its crises and limits to growth such as peak oil, green transition and EU structural funds, the gender of artisans, and computer addiction. Additionally, they discussed such evergreen topics as clock reading skills and the objectives of a national university. The wish was expressed to move towards a wider recognition of manual skills as indispensable part of personal development, as was the desire to add more substance to attempts to improve the image of low-tech skills. The acquisition of manual skills, including working with both hands and standing on two feet, should be a recognised part of mental development at school ages of between 15 and 25 years.
 The participants unanimously agreed that manual skills, as opposed to economic activity, consumerism, wealth, peak oil etc. have gradually declined over recent decades, and that we have probably now reached the bottom of the curve. Hopefully after the decline of the economic peak, the importance given to the possession of manual skills will start to rise again.
 Terminology is also a problem. The word ‘handicraft’ may sound old-fashioned or even obsolete; it is often loaded with political or ideological ballast. Answers to the question whether it is possible to earn a livelihood with handicraft were diverse: a convinced ’no’, a hyperbolically conditional ’yes’ (if one could win the olympics of handicraft), and a convinced ’yes’, albeit one which admitted that handicraft is part of lifestyle.
 The participants were rather sceptical as to the long-term positive impact of EU structural funds on handicraft, but the current situation, which is characterised by an increase of raw material and energy prices, seems hopeful because there are signs that top brands are interested in bringing their production back to Europe from China and so are seeking contacts, something which may lead to new opportunities for manually skilled artisans here.
 Martin Bristol summarised matters as follows: “A shop does not have to be in Viru Street. It can be in the forest, if the narrative is powerful enough – and of course it has to be top-level. If there is a grove and people who are dedicated – I really mean that we would be able to produce more out of one hectare of forest without cutting it than is produced with the help of clear cut. And if we add full production-chain logic, in the sense that forest is not only wood for building, and fleece is not only a dull by-product, we could develop quite a contemporary form of production. But all this presupposes knowledge of the specificities of native raw materials and regions, clock reading, and a bit of entrepreneurship as well.“

Empowering Smes Through Digital Marketing At Unesco Global Geopark Belitong, Indonesia

During the COVID-19 pandemic, SMEs located in tourism destinations in the form of small islands in Indonesia experienced many problems, including: decreased sales turnover due to reduced number of tourists coming to visit the island, difficulty in raw materials, rising raw material prices and SMEs not understanding how to do digital marketing effectively. Digital skills for SMEs are very important in building a competitive advantage and expanding the market not only in their area. Therefore, a community empower program was initiated to help the SMEs survive through covid19 pandemic, by increasing their capacity on Digital Marketing.The objectives of this program are:(1) to develop community empowerment through Digital Marketing program (2) to increase community skills in digital marketing. Eight months of educational activities were conducted on 20 SMEs from April 2021 to November 2021 at the Unesco Global Geopark Belitong. Using the parcipatory training method, SMEs were able to understand how to conduct digital marketing. The result of this program, is SMEs start to develop their own digital marketing program, with the help from university students. For future program SMEs express their hope that coaching and upskilling in digital marketing will continue in order to help them increase their market.

Status and development of hydrogen preparation, storageand transportation

<p indent=0mm>As a kind of important clean and renewable energy, hydrogen energy has received increasing attention. In the past, the majority of researchers from colleges and universities, Chinese Academy of Sciences and other institutions carrying out hydrogen energy related research were supported by the National Natural Science Foundation of China, Ministry of Science and Technology. Nowadays many enterprises are also involved, including both private enterprises and state owned enterprises. This is a significant shift in this research field that will further promote the development of hydrogen energy industry. Hydrogen industry includes hydrogen production, separation, storage and transportation, application and other links. Great strides have been made in these fields in recent years. Some of these fields are developing rapidly, while others are still facing many challenges. This paper makes a systematic analysis and induction of the status, issues and future development potential of the hydrogen industry chain. The paper is divided into seven parts, including hydrogen preparation, hydrogen storage, hydrogen transportation, hydrogen pipeline transportation, liquid hydrogen manufacturing, storage and transportation, hydrogen refueling station, conclusions and suggestions. In the part of hydrogen preparation, we introduce the methods of hydrogen preparation, separation and purification, the annual changes of world pure hydrogen and mixed hydrogen production, the relationship between hydrogen price of different hydrogen production methods and main raw material price, and the comparison of hydrogen production technologies and characteristics of different electrolytic water. In the part of hydrogen storage, four main methods: High-pressure gas hydrogen storage, low-temperature liquid hydrogen storage, solid hydrogen storage and organic liquid hydrogen storage are introduced, and the performances of these four methods are compared. In the part of hydrogen transportation, we introduce several common hydrogen transportation methods, the performance comparison of several common hydrogen transportation methods, and the price variance by distance of the three main hydrogen transportation methods. In the part of hydrogen pipeline transportation, the construction of two domestic hydrogen pipelines and the comparison of relevant parameters, as well as the situation of hydrogen transportation pipelines around the world are introduced. In the part of liquid hydrogen production, storage and transportation, the production methods of liquid hydrogen, the difference in calorific value between hydrogen fuel and other fuels, the preparation level of liquid hydrogen all over the world and the development direction in the future are introduced. In the part of hydrogenation stations, the construction, operation, cost and problems of hydrogenation refueling stations around the world are introduced. Finally, based on the contents above, we draw some conclusions and suggestions as follows: (1) In terms of hydrogen production, it is necessary to reduce the cost, develop hydrogen production from fossil raw materials to clean energy electrolytic water, focus on the development of proton exchange membrane green hydrogen preparation technology and enlarge its scale. (2) In terms of hydrogen storage, it is necessary to select appropriate hydrogen storage methods and improve their performance according to different applications. In the field of transportation, it is necessary to develop a hydrogen storage system with a weight density greater than 5wt% and a volume density greater than <sc>40 g/L,</sc> which is cost-effective and easy to control hydrogen absorption and desorption. In the non-transportation field, it is necessary to develop large-scale, low energy consumption and high safety hydrogen storage technology. (3) In terms of hydrogen transportation, it is necessary to strengthen the development of pipeline hydrogen transportation and liquid hydrogen transportation technology. (4) In terms of hydrogen refueling station, it is necessary to realize the localization of key equipment such as compressors and hydrogen injectors, improve the operation efficiency of hydrogen refueling stations and reduce the operational cost; Hydrogen production stations and liquid hydrogen refueling stations need to be developed.

A Multiscale Electricity Price Forecasting Model Based on Tensor Fusion and Deep Learning

The price of electricity is an important factor in the electricity market. Accurate electricity price forecasting (EPF) is very important to all competing electricity market parties. Decision-making in the electricity market is highly dependent on electricity prices, making an EPF model an important part of the orderly and efficient operation of the electricity market. Especially during the COVID-19 pandemic, the prices of raw materials for electricity production, such as coal, have risen sharply. Forecasting electricity prices has become particularly important. Currently, existing EPF prediction models face two main challenges: First, how to integrate multiscale electricity price data to obtain a higher prediction accuracy. Second, how to solve the problem of data noise caused by the fusion of EPF samples and multiscale data. To solve the above problems, we innovatively propose a tensor decomposition method to integrate multiscale electricity price data and use L1 regularization and wavelet transform to remove data noise. In general, this paper proposes a deep learning EPF prediction model, named the WT_TDLSTM model, based on tensor decomposition, a wavelet transform, and long short-term memory (LSTM). Among them, the LSTM method is used to predict electricity prices. We conducted experiments on three datasets. The experimental results of three data prove that the WT_TDLSTM model is better than the compared EPF model. The indicators of MSE and RMSE are 33.65–99.97% better than the comparison model. We believe that the WT_TDLSTM model is a good supplement to the EPF model.

Direct Investment from Russia Abroad: Changes since 2018

The article considers the specifics of Russian foreign direct investment outflows in 2018–the first half of 2020. Three main reasons for the new stagnation of Russian foreign investment expansion are identified: 1) the strengthening of “sanctions war” with the West after the election of Vladimir Putin for the 4th presidential term; 2) the slowdown in the global economy in 2018–2019 against the background of relatively low prices for hydrocarbons and other raw materials exported from Russia; and 3) the crisis caused by the coronavirus pandemic in 2020. These factors resulted in a reduction of both outward foreign direct investment stocks by Russian MNEs (partially due to revaluation of their assets after the collapse of the ruble rate), and a decrease in investments of wealthy Russians in foreign real estate as well as pseudo-foreign investment because of the regular attempts to conduct de-offshorization. Based on a study conducted at INION within the framework of the international program for studying MNEs from emerging markets, a list of leading Russian non-financial MNEs by the end of 2019 is presented. Further prospects of Russian direct investment are shown at the end of the article.

Novel anti-oxidation electrochemical sensor based on rod-shaped polyaniline-carboxymethyl cellulose-copper nanoparticles for nitrite determination

In this paper, a new type of copper nanoparticles (Cu NPs) coated with antioxidant film was prepared, and a low-cost nitrite electrochemical sensor was constructed. Low-cost carboxymethylcellulose sodium (CMC-Na) and aniline were used as raw materials, and CMC-Na was used as the polymerization template of aniline to successfully prepare polyaniline-carboxymethyl cellulose nanorods (PANI-CMC). In order to slow down the oxidation rate of copper nanoparticles, [email protected] nanoparticles ([email protected] NPs) containing 2.5 nm antioxidation film were prepared in consideration of the high water solubility, good chemical stability and strong film-forming ability of CMC. It turns out that the prepared [email protected] NPs/GCE had a good current response to nitrite with the linear detection ranges of 3-15,000 μM and 15,000-29,000 μM, and the limit of detection (LOD) of 0.170 μM (S/N= 3). The sensor based on the [email protected] NPs performed good stability and retained 91.3% of the initial sensitivity after 25 days. Meanwhile, the preparation cost of the sensor was extremely low owing to the low price of raw materials in the experiment process, which made mass production possible.