Industrial Life Research Articles

The Impacts of Lactiplantibacillus plantarum on the Functional Properties of Fermented Foods: A Review of Current Knowledge.

One of the most varied species of lactic acid bacteria is Lactiplantibacillus plantarum (Lb. plantarum), formerly known as Lactobacillus plantarum. It is one of the most common species of bacteria found in foods, probiotics, dairy products, and beverages. Studies related to genomic mapping and gene locations of Lb. plantarum have shown the novel findings of its new strains along with their non-pathogenic or non-antibiotic resistance genes. Safe strains obtained with new technologies are a pioneer in the development of new probiotics and starter cultures for the food industry. However, the safety of Lb. plantarum strains and their bacteriocins should also be confirmed with in vivo studies before being employed as food additives. Many of the Lb. plantarum strains and their bacteriocins are generally safe in terms of antibiotic resistance genes. Thus, they provide a great opportunity for improving the nutritional composition, shelf life, antioxidant activity, flavour properties and antimicrobial activities in the food industry. Moreover, since some Lb. plantarum strains have the ability to reduce undesirable compounds such as aflatoxins, they have potential use in maintaining food safety and preventing food spoilage. This review emphasizes the impacts of Lb. plantarum strains on fermented foods, along with novel approaches to their genomic mapping and safety aspects.

Extensive review on IoT security challenges and LWC implementation on tiny hardware for node level security evaluation

Internet-of-Things (IoT) offers a novel intelligent ecosystem that consists of various physical objects interconnected via the internet, which draws the attention of researchers, academicians, and industrialists. Various physical objects are embedded systems that perform dedicated operations that include sensing, monitoring, and controls. Such connectivity of embedded system devices over the internet creates an intelligent mesh worldwide and makes city, industry, and human life entirely automated and intelligent. However, the existing embedded system with radio modules is battery operated, referred to as a low-resourced device. Further, it is expected that the device should consume less operational power. Tiny size devices are offering less memory which creates a resource-constrained environment. An efficient hardware implementation of security algorithms is challenging in a constrained environment that satisfies all performance metrics. Standard internet connectivity of all devices with new wireless paradigms (e.g. ZigBee, LoRa, Wi-Fi, SigFox, etc.) essentially needs to be scrutinized for secured data communication and other security flaws. The universal connection allows an adversary to access secured technology via vulnerable systems. Many researchers are analyzing IoT technologies in every possible aspect to provide an economically secured solution. Importing software-tested encryption standards on hardware with efficient results can produce reliable IoT nodes. In this paper, we present the overview of IoT infrastructure with supporting data communication protocols. Also, we discussed essential cryptographic design rationale to minimize overall structure with the importance of metrics. Environmental and implementation based challenges, trade-off, and importance of cryptography towards the development of secured IoT node with Light-Weight Cipher (LWC) ANU and PRESENT proof-of-concept for generic application is provided in this research.

Sustainable Development Practices of Restaurants in Romania and Changes during the COVID-19 Pandemic

Sustainable development is a constant and a necessity of daily life in the restaurant industry. The restaurant industry has high consumptions of energy, water, detergents, and consumables, together with tremendous food waste. The COVID-19 pandemic highlighted many acute sustainable development problems. In this context, this article analyzes the practices identified by restaurant managers that define their responsible behavior, and the significant changes made towards sustainability during the COVID-19 pandemic. This article presents the results obtained through qualitative research, carried out by semi-directive in-depth interviews, conducted with 56 restaurant managers from Romania. The answers obtained are based on five topics of discussion highlighting the managers’ growing interest in finding solutions to counteract negative effects on the environment, to ensure the wellbeing of customers and employees, and to increase the profitability of their company. The results obtained from the research reflect the thoughts and actions of restaurant managers in Romania, contributing to the body of knowledge in the understanding of sustainability practices in the foodservice sector.

Indonesia animation IP Industry Life Cycle barriers and expectations to grow national economic development

Creative industry is no doubt has great potential role in economic development and the animation industry is one of the creative industries that have attracted business concern with the increasing numbers of intellectual properties (IPs) for local content and have the potential for development as the identity of the Indonesian nation. The study aim to address the position of Indonesia animation industry in the phases of the industry life-cycle, analyze the barriers that hinder the development process using qualitative approach to forecast the future of the industry and discussing expectations that should be achieved.

Comparative study of Glass Type Classification using Machine Learning

The glass sector is regarded as one of the world's most important. Glass is used in a multitude of scenarios, ranging from water bottles to X-Ray and Gamma Ray shielding. This is a transparent, non-crystalline, amorphous solid. Glass is used in a variety of ways, and investigators should be able to identify which type of glass is present during a crime scene assessment. We'll utilize the internet dataset and machine learning to resolve the greater than disadvantage in order to find out what type of glass it is. Machine learning algorithms such as with the Support Vector Machine (SVM) algorithm, the Random Forest methodology, the logistical Regression algorithm, and the AdaBoost classifier, as well as the Gradient Boosting classifier, will be exploited. Random Forest performed the best in glass classification out of all the computational rules. Flat glass is now available in a variety of specialized shapes for usage in various applications and products. The process of flotation is used to make flat glass. There are, however, many specific procedures that may be used to give it a range of special forms. The trade is able to meet the needs and desires of the automobile, construction, and solar power industries by using this strategy. However every product and application needs a unique glass, for that reason within the industrial world there square measure differing kinds of glass that may create your domestic and industrial life easier.

Pendular Design. Connections Between Design and Mature Industries

Industries change and mature. The object of this study was to identify design in these circumstances. Mainly because featuring design in the maturity phase of the industry life cycle is part of a limited and diffuse knowledge. It is believed that Design may be affected and limited by the maturity of the industry; also, possible ways of breaking this limiting logic is also considered. To study the theme, an integrative approach was used, and a bibliographic review in design management, strategic design and business management was done. The Design Science Research methods and a case study of the textile industry were also adopted. Thus, a theoretical and conceptual framework about the relationship between design and mature industry was built; five paradigms on industry maturity were proposed; and, finally, Design was featured using an analogy with the displacement logic of a pendulum, highlighting restraining, and driving forces.

Growing pains and blessings: Manifestations and implications of equity crowdfunding industry maturation

The equity crowdfunding industry has grown significantly in the past decade. Industry life cycle theory suggests that growth dynamics and relations between stakeholders change as industries mature. The present study examines the characteristics and implications of maturation in the equity crowdfunding industry via the lens of industry life cycle theory. Specifically, we explore whether the industry is reverting to traditional entrepreneurial finance practice, or whether it retains its original distinguishing characteristics. Accordingly, we first assess changes with respect to users (investors) and products (campaigns and investment objects). Second, we assess the implications of these changes by comparing the determinants of fundraising campaign success in earlier and later industry stages. We use a longitudinal database and survey data sourced from a long-standing European equity crowdfunding platform. We show that equity crowdfunding seems to be converging towards traditional entrepreneurial finance practice, yet maintaining certain unique features stemming from digitality, platform nature, and investor diversity. Specifically, we show that (1) fundraising ventures and their campaigns have become larger and more professional, and (2) engaged investors became more knowledgeable and return-oriented. Accordingly, traditional investment criteria, such as team and commercial terms ratings, have become more important predictors of campaign success, and easily observable campaign characteristics, such as B2C business models, and minimum investment thresholds, less so. The findings support platform managers and entrepreneurs as they plan for campaigns seeking to attract investors in the industry's later stages.

Petroleum Engineering Continues To Drop, But There Is Talk of Better Times Ahead

For the seventh year in a row, the number of undergraduates in petroleum engineering (PE) programs is down, but that could be changing. Over the next year, Lloyd Heinze, a PE professor at Texas Tech University who has long done the survey discussed here, sees this downward trend slowing and then stabilizing in the next couple of years. There is no sure way to predict which majors undergraduates will pick, but there are some long-standing patterns to consider. Based on past long slumps for US programs, the decline line is nearing a point where it stabilizes at a low level for years, and when the industry lives off the surge in PE graduates that occurred during the previous boom years. But there is another trend that could change things. There has always been a strong relationship between class sizes and the preceding increases in oil price. The recent surge in oil prices to more than $90/bbl could signal a rebound, as it did early this century when it helped end the slump that dated back to the 1980s. If those two trends apply, it could mean “there will be fewer bachelor’s degrees awarded this year, and after that we will be back to growing ever so slightly. And then 2 years from now we will be overwhelmed,” by new students, Heinze said. So far, the survey is not offering evidence of a change from the down trend. The best indicator of the size of future graduation classes is the level of undergraduate enrollment. During the slide down, the number of seniors has been far greater than the number of freshmen. This year’s class shows that gap has narrowed. To stabilize it, the number of freshmen will need to far exceed the size of the senior class because another pattern is at work. Heinze said the number of freshmen and sophomores who say they will major in petroleum engineering drops by 30% per class year as these students realize what is required, which includes proficiency in calculus. Hiring Drives Enrollment While it is hard to deny the power of higher oil prices to increase oil industry activity, Heinze and others in academia contacted for this story point out that the ultimate driver is the industry’s appetite for new engineers. Students and their parents are looking for signs that the hard and costly job of getting a PE degree is rewarded with a job and a salary that justifies the effort. So far, those in PE programs are seeing an improved job market with demand for the graduates they are supplying. When Texas A&M announced a spring job fair, there was a strong response from potential employers, said Tom Blasingame, a professor of petroleum engineering at Texas A&M and 2021 SPE president. He said the market is much improved for students seeking jobs, but it is not like the boom days when multiple offers were common. “I do not believe that oil prices are going to help us significantly in increasing the enrollment,” said Mohan Kelkar, chairman of the McDougall School of Petroleum Engineering at the University of Tulsa, who sees oil companies sticking to conservative spending programs.

Modified Profile Likelihood Estimation in the Lomax Distribution

In this paper, we consider improving maximum likelihood inference for the scale parameter of the Lomax distribution. The improvement is based on using modifications to the maximum likelihood estimator based on the Barndorff-Nielsen modification of the profile likelihood function. We apply these modifications to obtain improved estimators for the scale parameter of the Lomax distribution in the presence of a nuisance shape parameter. Due to the complicated expression for the Barndorff-Nielsen's modification, several approximations to this modification are considered in this paper, including the modification based on the empirical covariances and the approximation based on using suitably derived approximate ancillary statistics. We obtained the approximations for the Lomax profile likelihood function and the corresponding modified maximum likelihood estimators. They are not available in simple closed forms and can be obtained numerically as roots of some complicated likelihood equations. Comparisons between maximum profile likelihood estimator and modified profile likelihood estimators in terms of their biases and mean squared errors were carried out using simulation techniques. We found that the approximation based on the empirical covariances to have the best performance according to the criteria used. Therefore we recommend to use this modified version of the maximum likelihood estimator for the Lomax scale parameter, especially for small sample sizes with heavy censoring, which is quite common in industrial life testing experiments and reliability studies. An example based on real data is given to illustrate the methods considered in this paper.

Evaluation of the Inhibition Effectiveness of Ampicillin in the Corrosion Steel in Acid Solution

The increasing number of applications for carbon steel not only in industry and everyday life, but especially in medical applications requires knowledge on its susceptibility towards electrochemical corrosion in different environments, especially in acidic and neutral environments, including the human body. Moreover, the interest of the research community is still focused on finding suitable compounds, which provide good inhibition effectiveness in the specific corrosion environment, are affordable and are considered environmentally friendly. Ampicillin is a common β-lactam antibiotic of the penicillin family used to treat bacterial infections. In this work, we discuss the inhibition effectiveness of ampicillin as corrosion inhibitor for carbon steel in acidic solution at room temperature, using the weight loss method, at different concentrations of ampicillin. The inhibition effectiveness of ampicillin in 0.02 M HCl solution increased with increasing its concentration. Indeed, the highest inhibition effectiveness (90.7%) was achieved for the highest inhibitor concentration (1.0 wt.% ampicillin).

Impact of Sector and Region on Survival and Closure

The objective of the study was to explore the mortality of companies across sectors and regions in India. Using a public dataset available from the Ministry of Corporate Affairs of India, we explored the survival and closure age distribution of Indian companies, specifically the variation of closure across different sectors and regions. First, the study found that the age distribution of companies’ surviving and closed had no significant difference. Secondly, the closure age distributions of different sectors and regions had significant differences. The number of companies and the span of ages is sufficiently large to claim the generalizability of the findings for India. The article contributes to the literature by extending the industry life cycle theory.

Entropy, Transformations and Sustainability of Industrial Life Cycles

Abstract Life cycles of materials are analysed in a systematic manner as a six-stage process. It starts with primary or secondary raw materials and ends with recycling or deposition of waste. The purpose of the industrial process is the transformation of matter into materials from which useful goods are produced. The complete cycle can be described as a sequence of man-made transformations with defined changes in entropy and energy. Entropy is the measure for any type of disorder. Changes in entropy are due to separation (mining, purification: negative entropy), ordering (consolidation, construction: negative entropy) or disordering (mixing, crushing: positive entropy). Sustainability comprises undesired, irreversible changes of our environment. It can be regarded as an inverse function of the raise in entropy. We have to distinguish entropy with respect to matter, energy and information. In our context, entropy changes due to different distributions of matter are of primary importance. Sustainability implies that increases in entropy due to industrial activities must be balanced, as much as possible, by extraterrestrial negative entropy. This requires the evaluation and comparison of entropy efficiency for the production of goods with defined useful properties.

An Analysis of the Features of Cast Composite Materials Based on Light Alloys Reinforced by Particles

Light alloys are widely used in industry and everyday life due to their high physical and mechanical properties, wear and corrosion resistance, as well as low cost. In this regard, the use of light alloys as a basis for composite materials is both justified and expedient. The potential of these materials has not been fully used to this day, despite the growing interest in metal matrix composites and extensive investigations aimed at the development of production technology and the introduction of advanced systems based on light matrices. The article presents a short review of the analysis of the main components of the technology of cast composite materials based on light alloys of aluminum and magnesium reinforced by particles. Particular attention is paid to the choice of the matrix alloy, the type, size and amount of reinforcing particles introduced into it, as well as the thermal-time and kinetic parameters of the process.

Application of Security System Legal Documents Reviewer Letters Using Blockchain Technology

the popularity of blockchain technology has been widely used in aspects of life in various fields and industries. Because previously blockchain technology was used as crypto or known as digital currency which has developed towards technology and digital is growing rapidly. Where the use of blockchain technology is a new innovation that is increasingly developing in data security systems to suit the times and become one of the modern technologies in the world of education. However, nowadays there are often crimes in the illegal falsification of reviewer letters that can be carried out by irresponsible people for personal interests and can harm the parties concerned. For that we need a data security technology without the need for a third party called blockchain that can maintain the authenticity of the reviewer's letter from the criminal actions of irresponsible parties in forging intentionally or unintentionally. Raharja College has applied blockchain technology to a tool called ABC (data security) and has been implemented on the adimas website which has been going on for two years. Blockchain technology has an encryption hash code or a unique code that is a sign that a letter that has been verified with the blockchain can be seen as different from the original or fake. Because blockchain technology has a level of data security with a block system that is interconnected and has an encryption hash code. This paper uses the literature study method by looking at previous papers with the same theme. This research has the aim that future researchers can produce new innovations in improving data security and improving the quality of technology that can produce new findings in more modern data security systems.

Investigate the Uses of Goats and Socioeconomic Impact of Peste des Petits Ruminant on Farmers Engaged in Diamond Mining in Tongo Field

Background: There is a paradigm shift in the uses of goats during the twenty-first century. In time past, people raise goats for prestige and festivals. Today, people rear goat for financial, spiritual, cultural, religious, mental and sacrificial purposes. Goat rearing has become a major source of income in Africa and Sierra Leone in particular. Goats are primary and immediate source of cash when it becomes herculean to get diamonds during mining. The illicit miners sacrifice brown goats before and during extraction to appease the spirits. Goat rearing becomes the industrial life -supporting machine for vast majority of illicit diamond miners and other business people in Tongo Field. Peste des Petits Ruminant is the major disease affecting most of the goats in Tongo Field. The study investigates the socioeconomic impact of Peste des Petits ruminant on goat farmers engaged in diamond mining in Tongo Field. The Objective: The objective of the research is to investigate the uses and measure the socio-economic impact of PPR disease on goat farmers in six sections in Tongo field Method: A semi-structured questionnaire was administered to 10 randomly selected household heads in each of the six sections. A blind ballot selector dips into a bag and select a number designated to receive questionnaire for interview. The selected person receive one questionnaire and complete or assisted by the interviewee. Informal discussion, desktop review and observational techniques were used to obtain additional information. Data collected was analyzed using SPSS and presented in form of tables, charts and graphs for proper interpretation. Result: Goat farmers in Tongo field six sections practice free-range 65%, and tethering 35%. The primary purpose of rearing goats is for income 100% and rituals 35%. The main challenge of goat rearing is PPR disease 100%, and the mortality ranges between 1-5 animals per family household at 53.3%. Conclusion: In conclusion, goat production is an important source of income to address both socio-economic, cultural issues, and emergencies, thereby reducing the harsh economic risk incurred from diamond mining.

DIGITAL CULTURE AS AN INNOVATIVE COMPONENT OF A TEACHER'S PROFESSIONAL ACTIVITY

Professional activity in the digital environment is an integral component of modern life in Industry 4.0. The success of the formation of digital competence of an individual in modern realities is largely determined by the level of digital culture of a teacher himself as a translator of the values of the digital society. In this regard, the problem of the research can be formulated as follows: what are the theoretical approaches to substantiating the category of "digital culture" in modern pedagogical discourse? The purpose of the research is to reveal the essence of the concept of "digital culture" as an actual pedagogical category. The research methods used are analysis, synthesis, differentiation, description. The results of the study are based on the analysis and synthesis of derivatives of the definition of "digital culture". Theoretical approaches to the content of the concept of "digital culture" as an innovative component of the teacher's professional activity have been presented; the concept of "digital culture" has been clarified; the basic components of a teacher's digital culture have been proposed. The key conclusions are the following: derivatives of the definition of "digital culture" are "digital literacy", "digital competence", ICT culture; The digital culture of a teacher is understood as the formation of the necessary skills for successful functioning in mixed reality, including the skills of safe and effective work with content, communication with other users in the electronic educational environment, search and consumption of information, continuous improvement, motivational and value attitude to the digital service, providing ergonomic functioning in the new digital educational space; the basic components of a teacher's digital culture are: digital literacy, ICT competencies, motivational-value attitude.

СТЭНЛИ ВАШБУРН, АМЕРИКАНСКИЙ КОРРЕСПОНДЕНТ БРИТАНСКОЙ ГАЗЕТЫ «ТАЙМС», О НЕОБХОДИМОСТИ ОКАЗАНИЯ СОЮЗНИЧЕСКОЙ ПОМОЩИ РОССИИ (ПО МАТЕРИАЛАМ АРХИВА БРИТАНСКОЙ ГАЗЕТЫ «ТАЙМС»)

The article analyzes a document sent by the American journalist Stanley Washburn, a war correspondent of the British newspaper The Times during the First World War to the editor of The Times H.W. Steed. The document, which is stored in the Archive of the Times newspaper in London, is a draft article for the American edition of The Red Cross Magazine. Correspondent of The Times informs the American society about Russia’s contribution to the war, in particular, about the losses Russia suffered at the front and the difficulties the country was experiencing inside the country. The correspondent estimated economic potential of Russia in 1914 and talked about the reduction of the opportunities to maintain Russia’s economic and industrial life in a normal state during the war. The journalist analyzed the issues associated with railways and transportation of the wounded and underlined the necessity to provide allied assistance to Russia in order to prevent its withdrawal from the war. In particular, Washburn proposed to help the Provisional Government in solving the food problem in big cities by organizing food warehouses for that purpose and taking care of the supply of flour-milling facilities. The author of the document pays attention to the effective work of helping the wounded and makes recommendations for improving the work of the Red Cross at the front and inside the country.

Mechanism of Undergraduate Students’ Waste Separation Behavior in the Environmentally Friendly Higher Education Mega Center of Guangzhou

The volume of waste produced by aspects of both industrial life and daily life has increased in the past few years in conjunction with the rapidly growing economy in China. In urban areas, citizens consume more resources and produce much waste, which pollutes the environment. Many cities have proposed numerous regulations for waste separation to help build environmentally friendly cities. Plenty of studies tried to reveal the mechanism of residents' waste separation behavior in different theoretical perspectives but were unable to clarify the effect of waste separation factors in university. Moreover, the response and performance of undergraduate students after the waste separation regulations are proposed and are not well discussed. To clarify the mechanism of waste separation behavior in campus and evaluate the response and performance, in this study, a questionnaire is used to sample undergraduate students from the Higher Education Mega Center in Guangzhou. With the use of SPSS 23.0, this study conducts an empirical analysis; the results of which show that (1) environmental awareness and personal responsibility have a significant positive impact on behavior attitude; (2) convenience and economic cost have a significant positive impact on perceived behavior control; (3) intention has a partial mediating role between behavior attitude, subjective norms, and perceived behavior control; and (4) habits directly affect behavior and regulate the relationship between intention and behavior. The results will provide some meaningful implications for the government.

Race at Work: A Comparative History of Mining Labor and Empire on the Central African Copperbelt and the Fushun Coalfields, ca. 1907–1945

In many ways, the vast industrial complexes that developed on the Central African Copperbelt and the Fushun coalfields in the early twentieth century were very different places. One on a high plateau stretched out across the border between what is now Democratic Republic of Congo and Zambia with a sub-tropical climate; the other on the rolling foothills of Changbai Mountains in what is now Liaoning Province, northeastern China, with a humid continental climate. Yet anyone who visited either of these places would immediately and unavoidably have become aware of a basic fact about both: that racial hierarchies governed life and work on the mines. This article is about that basic fact, and in it we aim to make a two-fold contribution: First, it is a comparative history of mining regions, which, although it might seem an area of study ripe for comparison, is seldom undertaken. Second, through this comparison to argue that the prevalence and significance of race as a way of organizing life and work in the mining industry has been underestimated. We support this claim with an overview of production and everyday life in two seemingly very different mining regions: the Fushun coalfields and the Central African Copperbelt (see figure 1).

Crack Propagation Life Prediction of a Single Lap Shear Joint: A Linear Elastic Fracture Mechanics Based Machine Learning Approach

Estimation of fatigue life in the aerospace industry plays a key role in terms of safety, certification, and inspection. Individual aircraft tracking programs aim to calculate the fatigue index for each aircraft based on its load history. Therefore, accurate estimation of fatigue life based on unique load spectra for each aircraft plays a crucial role. The purpose of this study is to predict the crack growth (CG) life of a single lap shear joint for an aircraft based on different spectral loads using random forest regression and k-nearest neighbors(k-NN) regression. A finite element model was built using the Huth fastener flexibility method to obtain fastener loads and stress values on the structure under maneuver loads. Then, finite element results were compared to analytical calculations. Based on Fighter Aircraft Loading Standard for Fatigue and Fracture (FALSTAFF) spectra, 90 different spectra were developed to be used for the calculation of CG life. The AFGROW software was used to calculate the CG life based on the load spectra and the findings of the finite element model. Analytical calculations of CG lives and features of individual load spectrums were fed to machine learning models. Finally, the CG life predictions of the machine learning models were compared with analytical calculations. According to the findings, a good correlation was observed between the analytical and predicted CG lives.