Development Of Rapid Tools Research Articles

Scalable, Transparent, and Micro: 3D‐Printed Rapid Tooling for Injection Molded Microfluidics

The fast‐growing 3D printing industry is improving its hardware at an accelerated pace. This includes higher‐resolution printing combined with a wider range of photosensitive resins. The parallel development of rapid tooling (RT) for injection molding enables upscaling 3D‐printed designs. Within microfluidics, where prototyping and scalability are key, the development of 3D‐printed RT for injection molding can prove a competitive alternative to more traditional tooling methods. Herein, the dominating parameters impacting 3D‐printed RT for injection molding are investigated, enabling the delivery of durable, high‐resolution, and optically transparent microfluidics. It is found that reducing the sidewall waviness to 1.9 ± 0.4 μm and the interlocking angle to 1.9 ± 0.8° enhances the mold release success rate to 100 ± 0.0%. The surface roughness is reduced from 1.1 ± 0.1 μm to 0.2 ± 0.0 μm by increasing layer exposure during printing. In turn, this improves the optical transparency of molded replicas to >228 lp mm−1 line resolution and increased image contrast and amplitude. Ultimately, the established procedure proves capable of running a small‐scale production (≈500 parts) of a droplet generator with 50 μm channels, with a lead production time of under 3 h from computer‐aided design to a functional device.

The impact and character of the use of artificial intelligence in education from the perspective of integrated teaching: elements for the debate

In the context of the rapid development of tools derived from Generative Artificial Intelligence (AI) and their gradual incorporation into education, various discussions and dilemmas arise regarding the use of these technologies in educational practices. The objective of this work, which presents a qualitative and exploratory approach, developed from a bibliographic research, is to identify and list some of the main concepts, categories, positive aspects, limits, and risks related to the use and implementation of AI in education, specifically in the teaching-learning process within formal educational environments, raising some perspectives and issues accumulated in this research field, which, from our point of view, is in a stage of construction. In this work, we adopt the ethical-political-pedagogical perspective of the constitution of so-called integrated teaching as the realization of an omnilateral and non-fragmented education project. For this purpose, we propose the following issue for discussion: does the gradual popularization of various AI tools in the teaching-learning process represent a positive trend or risks from the perspective of building an integrated education?

Studying the O-GlcNAcome of human placentas using banked tissue samples.

O-GlcNAcylation is a dynamic modulator of signaling pathways, equal in magnitude to the widely studied phosphorylation. With the rapid development of tools for its detection at the single protein level, the O-GlcNAc modification rapidly emerged as a novel diagnostic and therapeutic target in human diseases. Yet, mapping the human O-GlcNAcome in various tissues is essential for generating relevant biomarkers. In this study, we used human banked tissue as a sample source to identify O-GlcNAcylated protein targets relevant to human diseases. Using human term placentas, we propose (1) a method to clean frozen banked tissue of blood proteins; (2) an optimized protocol for the enrichment of O-GlcNAcylated proteins using immunoaffinity purification; and (3) a bioinformatic workflow to identify the most promising O-GlcNAc targets. As a proof-of-concept, we used 45mg of banked placental samples from two pregnancies to generate intracellular protein extracts depleted of blood protein. Then, antibody-based O-GlcNAc enrichment on denatured samples yielded over 2000 unique HexNAc PSMs and 900 unique sites using 300μg of protein lysate. Due to efficient sample cleanup, we also captured 82 HexNAc proteins with high placental expression. Finally, we provide a bioinformatic tool (CytOVS) to sort the HexNAc proteins based on their cellular localization and extract the most promising O-GlcNAc targets to explore further. To conclude, we provide a simple 3-step workflow to generate a manageable list of O-GlcNAc proteins from human tissue and improve our understanding of O-GlcNAcylation's role in health and diseases.

Electrophile Scanning Reveals Reactivity Hotspots for the Design of Covalent Peptide Binders.

Protein-protein interactions (PPIs) are intriguing targets in drug discovery and development. Peptides are well suited to target PPIs, which typically present with large surface areas lacking distinct features and deep binding pockets. To improve binding interactions with these topologies and advance the development of PPI-focused therapeutics, potential ligands can be equipped with electrophilic groups to enable binding through covalent mechanisms of action. We report a strategy termed electrophile scanning to identify reactivity hotspots in a known peptide ligand and demonstrate its application in a model PPI. Cysteine mutants of a known ligand are used to install protein-reactive modifiers via a palladium oxidative addition complex (Pd-OAC). Reactivity hotspots are revealed by cross-linking reactions with the target protein under physiological conditions. In a model PPI with the 9-mer peptide antigen VL9 and major histocompatibility complex (MHC) class I protein HLA-E, we identify two reactivity hotspots that afford up to 87% conversion to the protein-peptide conjugate within 4 h. The reactions are specific to the target protein in vitro and dependent on the peptide sequence. Moreover, the cross-linked peptide successfully inhibits molecular recognition of HLA-E by CD94-NKG2A possibly due to structural changes enacted at the PPI interface. The results illustrate the potential application of electrophile scanning as a tool for rapid discovery and development of covalent peptide binders.

High-speed direct energy deposition as a high-throughput design tool for laser-based additive manufacturing

A wide range of additive manufacturing (AM) processing conditions can be rapidly realized within a single specimen via high-speed direct energy deposition laser based (DED-LB), due to a variety of cooling conditions and in-situ powder mixing. Since existing approaches are inefficient in exploring the vast material and process design space in AM, high-speed DED-LB can be employed as a novel technology for high-throughput alloy design tool. However, an evaluation of the process transferability of the high-speed DED-LB process with respect to the currently dominating metal AM technologies, namely laser powder bed fusion (PBF LB/M) and conventional DED-LB, is required. In this study, high-speed DED-LB is applied for the high-throughput sample production, using the nickel alloy IN718 as reference material as well as the AM processes PBF LB/M and DED-LB as reference processes. The resulting microstructures are characterized and compared using optical microscopy and large-area scanning electron microscopy (SEM) analysis combined with energy-dispersive X-ray spectroscopy (EDS). Furthermore, a model for calculation of the volumetric energy density is developed to compare the applied AM processes. The significant influence of the processing conditions on the solidification behavior of the investigated material allows for efficient exploration of the microstructure and phase composition. Specific high-speed DED-LB-process conditions achieved the average solidification cell size and laves phase content as observed in the PBF LB/M- and DED-LB -produced counterparts. The applicability of the high-speed DED-LB process for rapid alloy and process development, i.e., process transferability, is critically evaluated. The results show that high-speed DED-LB can be used to emulate cooling conditions of PBF-LB/M and DED-LB and, therefore, be used as tool for rapid alloy development.

DESIGN OF GENERATION SYSTEM BASED ON ARTIFICIAL INTELLIGENCE ALGORITHM. PART 1

The development of modern tools and methods of artificial intelligent provides a wide range of functionality for various scientific and applied tasks, and also allows obtaining new results. A question arises about how to apply elements of artificial intelligence to obtain new combinations and connections obtained by generation. As a purpose of the article is considered applying a neural network technology for the formation of new, unique recipes for cocktails with the aim of demonstrating the effectiveness of implementation and verification methods and models of artificial intelligence. To solve generation problems according to ingredient recipes, in the article all stages of the technological process are analyzed from data collection, analysis, preprocessing to the selection of a mathematical algorithm and modeling of the trained system. Each stage of the work contains a separate description of the steps necessary to solve the task. The machine learning algorithm has the ability to process thousands of examples to find a certain pattern of combinations of ingredients. And important attention is paid to the formation of a training date.
 At the stage of data collection, individuals and main problems are considered, which are checked during the work of the parser. The important part is the partial use of encrypted technologies when using Internet resources and reading the DOM tree with the code of the HTML page. The paper shows settings for the automated algorithm of information collection. For the parser development, a tool for rapid project development and effective management as Docker and Docker Compose add-ons were used. Completed the stage with the acquisition of the data set and the data for neural network models has been analyzed. The stage consists in preprocessing, decoding and compositions collected data in relevant tables. During the automated data collection process, information with significant noise and redundant elements is processed. Considerable attention is paid to the process of cleaning and preparation of useful information, because the purity of the data and their completeness in the most cases determine the quality of the mathematical model and the modeling process for finding new laws and combinations in generation.

Development and Characterization of an In Vitro Round Window Membrane Model for Drug Permeability Evaluations.

Hearing loss and balance disorders are highly common disorders, and the development of effective oto-therapeutics remains an area of intense research. Drug development and screening in the hearing research field heavily rely on the use of preclinical models with often ambiguous translational relevance. This often leads to failed advancement in the market of effective therapeutics. In this context, especially for inner ear-specific pathologies, the availability of an in vitro, physiologically relevant, round window membrane (RWM) model could enable rapid, high-throughput screening of potential topical drugs for inner ear and cochlear dysfunctions and could help accelerate the advancement to clinic and market of more viable drug candidates. In this study, we report the development and evaluation of an in vitro model that mimics the native RWM tissue morphology and microenvironment as shown via immunostaining and histological analyses. The developed three-dimensional (3D) in vitro model was additionally assessed for barrier integrity by transepithelial electrical resistance, and the permeability of lipophilic and hydrophilic drugs was determined. Our collective findings suggest that this in vitro model could serve as a tool for rapid development and screening of topically deliverable oto-therapeutics.

Development of molecular clamp stabilized hemagglutinin vaccines for Influenza A viruses

Influenza viruses cause a significant number of infections and deaths annually. In addition to seasonal infections, the risk of an influenza virus pandemic emerging is extremely high owing to the large reservoir of diverse influenza viruses found in animals and the co-circulation of many influenza subtypes which can reassort into novel strains. Development of a universal influenza vaccine has proven extremely challenging. In the absence of such a vaccine, rapid response technologies provide the best potential to counter a novel influenza outbreak. Here, we demonstrate that a modular trimerization domain known as the molecular clamp allows the efficient production and purification of conformationally stabilised prefusion hemagglutinin (HA) from a diverse range of influenza A subtypes. These clamp-stabilised HA proteins provided robust protection from homologous virus challenge in mouse and ferret models and some cross protection against heterologous virus challenge. This work provides a proof-of-concept for clamp-stabilised HA vaccines as a tool for rapid response vaccine development against future influenza A virus pandemics.

3D CAD model reconstruction and fast prototyping of rotational parts: a reverse engineering approach

PurposeThis paper aims to present a reverse engineering (RE) approach for three-dimensional (3D) model reconstruction and fast prototyping (FP) of broken chess pieces.Design/methodology/approachA case study involving a broken chess piece was selected to demonstrate the effectiveness of the proposed unconventional RE approach. Initially, a laser 3D scanner was used to acquire a (non-uniform rational B-spline) surface model of the object, which was then processed to develop a parametric computer aided design (CAD) model combined with geometric design and tolerancing (GD&T) technique for evaluation and then for FP of the part using a computer numerical controlled (CNC) machine.FindingsThe effectiveness of the proposed approach for reconstruction and FP of rotational parts was ascertained through a sample part. The study demonstrates non-contact data acquisition technologies such as 3D laser scanners together with RE systems can support to capture the entire part geometry that was broken/worn and developed quickly through the application of computer aided manufacturing principles and a CNC machine. The results indicate that design communication, customer involvement and FP can be efficiently accomplished by means of an integrated RE workflow combined with rapid product development tools and techniques.Originality/valueThis research established a RE approach for the acquisition of broken/worn part data and the development of parametric CAD models. Then, the developed 3D CAD model was inspected for accuracy by means of the GD&T approach and rapidly developed using a CNC machine. Further, the proposed RE led FP approach can provide solutions to similar industrial situations wherein agility in the product design and development process is necessary to produce physical samples and functional replacement parts for aging systems in a short turnaround time.

Comparative Analysis of Off-grid Small Hydro-Solar PV-Diesel Hybrid System in South-west, Nigeria

Reliable, efficient, and affordable power supply system is a necessary tool for rapid socio-economic development of any country. Power supply in Nigeria is grossly inadequate and inefficient. This work presented a comparison analysis of Off-Grid Small hydro-Solar Photovoltaic-Diesel Generator hybrid system in three selected locations in South-west, Nigeria. The selected locations are Molete (Oyo state), Abeokuta (Ogun state) and Ede (Osun state). The hydro data for the three locations were collected from their respective River Basin Development Authorities, while the solar data were obtained from National Aeronautics and Space Administration’s global satellite database. The hybrid components consisting of Small hydropower (SHP), Solar Photovoltaic (PV), Battery (BB) and Diesel Generator (DG) were modelled and run using Hybrid Optimization Model for Electric Renewable software with the stream flow, the solar radiation, load and the system components costs as inputs. The work also carried out a comparative analysis based on economic parameters-return on investment and simple payback period different from the conventional use of net present cost, cost of energy(COE) and operating cost. The optimal hybrid combinations for these areas were compared with the usage of autonomous DG. The most optimal hybrid combination for Molete and Ede is PV-BB-SHP System with COEs of $0.347/kWh and $0.161/kWh respectively. The most optimal configuration for Abeokuta is PV-DG-BB-SHP with COE of $0.290/kWh. The results obtained (based on economic and technical considerations) showed that the hybrid system is viable for these areas. The outcome of the research will serve as guide for the government and prospective investors in formulating effective policies towards rapid development of renewable energy technologies in these areas.

Comparative Analysis of Off-grid Small Hydro-Solar PV-Diesel Hybrid System in South-west, Nigeria

Reliable, efficient, and affordable power supply system is a necessary tool for rapid socio-economic development of any country. Power supply in Nigeria is grossly inadequate and inefficient. This work presented a comparison analysis of Off-Grid Small hydro-Solar Photovoltaic-Diesel Generator hybrid system in three selected locations in South-west, Nigeria. The selected locations are Molete (Oyo state), Abeokuta (Ogun state) and Ede (Osun state). The hydro data for the three locations were collected from their respective River Basin Development Authorities, while the solar data were obtained from National Aeronautics and Space Administration’s global satellite database. The hybrid components consisting of Small hydropower (SHP), Solar Photovoltaic (PV), Battery (BB) and Diesel Generator (DG) were modelled and run using Hybrid Optimization Model for Electric Renewable software with the stream flow, the solar radiation, load and the system components costs as inputs. The work also carried out a comparative analysis based on economic parameters-return on investment and simple payback period different from the conventional use of net present cost, cost of energy(COE) and operating cost. The optimal hybrid combinations for these areas were compared with the usage of autonomous DG. The most optimal hybrid combination for Molete and Ede is PV-BB-SHP System with COEs of $0.347/kWh and $0.161/kWh respectively. The most optimal configuration for Abeokuta is PV-DG-BB-SHP with COE of $0.290/kWh. The results obtained (based on economic and technical considerations) showed that the hybrid system is viable for these areas. The outcome of the research will serve as guide for the government and prospective investors in formulating effective policies towards rapid development of renewable energy technologies in these areas.

Rapid Digital Transformation Using Agile Methodologies for Software Development Projects

Now a day’s all organizations are moving towards digitalization. These consequences of the use of digital technologies made organizations seek for best and fast digital solutions. All software developer companies are also trying to draw consumer's attention by offering prompt services. In this regard, the critical issue in information technology and other areas of computation is how software can be created easily and rapidly for complex businesses. In this context, the main aim of the research is to show the agile methodology role in the rapid digital transformation. In this paper, we have surveyed different agile methodologies and tools for rapid software development and introduced an agile management tool having a backlog. We identified the key practices of agile methods and after a survey, it is suggested that the agile approach can help to achieve a balance between the applications generated by developers on customer demand. This paper illuminates and translates agile methodologies into agile project management tools for simple and rapid application development. Empirical research based on a case study is provided for better understanding and showing the importance of agility in software development

TTHE PROBLEMS OF THE DOMESTIC REINSURANCE DEVELOPMENT IN CONDITIONS OF FINANCIAL INSTABILITY

Abstract. Financial instability stems from the excessive volatility in the financial markets, the weakness of financial institutions and the inability of financial sector companies to fulfill their obligations, and it is no exception to insurance companies that do not have sufficient financial resources to reinsure. In modern conditions, reinsurance provides stability to the development of the insurers and is one of the most important tools that provides effective protection against various natural, man-made and other risks. The lack of financial resources of the insurance companies objectively determines the limitations of their ability to insure large risks. Reinsurance enables the insurance companies, by attracting funds from other insurers, to ensure the honest fulfillment of their obligations to insure payment at the onset of an insured event, while maintaining the stability of their financial situation. Admission to the insurance of expensive objects is dangerous for the individual insurer’s financial stability through the coverage of losses in the insured event. Admission to the insurance of expensive objects is dangerous for the individual insurer’s financial stability through the coverage of losses in the insured event. The need for reinsurance is due, among other things, to regulatory requirements for capital and assets and provides tools for rapid development of the insurance portfolio. Simultaneously reinsurance enables to protect the insurance portfolio from the influence on it of a series of large insurance risks, including catastrophic, so that the payment of insurance compensations on them does not pose a heavy burden on the one insurance company, but is carried out collectively by all participants in reinsurance. As a result, reinsurance allows you to take insurance risks that far outweigh the insurer’s own financial resources. Thus, the reinsurance system is a guarantee of financial stability of any insurance company, providing protection of its capital, and the basis for increasing the volume and quality of insurance services. In Article, the essence and significance of reinsurance in the conditions of globalization of the world economy were considered, as well as analysis of the main tendencies of the domestic reinsurance market development and the problems of its development in Ukraine were revealed. Keywords: insurance, financial instability, volatility, financial market, reinsurance, commission remuneration. JEL Classification E44, G20, G22, O16 Formulas: 0; fig.: 2; tabl.: 4; bibl.: 15.

IMPACT OF TEACHERS’ BEHAVIOR ON THE MOTIVATION OF STUDENTS AT HIGH SCHOOL LEVEL: EMPIRICAL STUDY OF DISTRICT HYDERABAD, SINDH, PAKISTAN

Education is considered as an authentic tool for rapid nation building, empowerment, prosperity and economic development. The quality of education remained main issue for Policy makers and curriculum designer. Policy makers have dedicated huge amount of time and energy to provide quality education. Mainly focus of quality betterment relies was associated with infrastructural development like, buildings, furniture, laboratories, libraries and play grounds. In this relation, curriculum designing, hiring of new trained teacher, external environment, nutrition, poverty alleviation also remained priority for betterment of education. But the major element of education is related with student psychology. One major factor is being over shadowed; the motivation of the students, even with the best administrators, highly qualified faculty, curriculum and materials in place, if students are not motivated, to learn and excel, the achievement of goal will become difficult. Therefore, current study major purpose was to investigate the impact of teacher’s behavior on the motivation of students at high school. The study based on inductive approach. The quantitative technique was employed for data collection. The data were analyzed through statistical package for social science 24 version for windows. The findings of study revealed that impact of teacher’s behavior on the motivation of students is positively associated. The teacher motivation has great impact on student attitude, learning, understanding and mental development. Therefore, policy makers, curriculum designers should focus on motivation of students.
 
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End-to-end design of mechatronic industrial and automotive computer systems

Due to the constant information develop-ment of society and its industrial component, new transport systems and machines have reached a high level of information excellence. Accordingly, there is a new contradiction between the rapid development of tools and methods of informatization of complex objects and systems, the development of transport telematics (internal for cars and other vehicles and external internal transport control systems) and the heterogeneous nature of existing subsystems and components of the transport complex. Of Ukraine. The problem of resolving this contradiction will allow at all levels of transport infrastructure to improve services to residents of cities and regions, improve transport processes, avoid existing negative consequences: traffic disruptions, unsatisfactory condition of roads, irrational use of funds for re-pair, operation and equipment of highways. This will help improve traffic safety, improve the quality of transport services, ensure people's comfort and save cargo. The goal of the study is to create software and hardware for virtual management, its intellectualization based on the use of virtual logis-tics of transportation processes, providing road users, tools of virtual management, a kind of virtual logistics. The purpose of this article is to study the problem of expressing and proving new rules and concepts for providing knowledge and skills to people who want to work in the IT field of transport applications. The sequence of acquiring knowledge and skills of people who have improved their personal professional level in road transport is determined. The idea of computer science as system engineering of successful consecutive creation of computer equip-ment and software of complex systems by combining their computer and software engineering in the field of motor transport is offered. The scope of use of the obtained results is road transport road organizations of Ukraine, residents of cities and regions as individuals or legal entities of users of transport services.

USING WEB TECHNOLOGIES TO IMPROVE THE TRANSPORTATION PROCESS

Problem. Due to the constant information development of society and its industrial component, new transport systems and machines have reached a high level of information excellence. Accordingly, there is a new contradiction between the rapid development of tools and methods of informatization of complex objects and systems, the development of transport telematics (internal for cars and other vehicles and external internal transport control systems) and the heterogeneous nature of existing subsystems and components of the transport complex. Of Ukraine. The problem of resolving this contradiction will allow at all levels of transport infrastructure to improve services to residents of cities and regions, improve transport processes, avoid existing negative consequences: traffic disruptions, unsatisfactory condition of roads, irrational use of funds for repair, operation and equipment of highways. This will help improve traffic safety, improve the quality of transport services, ensure people’s comfort and save cargo. Goal. The goal of the study is to create software and hardware for virtual management, its intellectualization based on the use of virtual logistics of transportation processes, providing road users, tools of virtual management, a kind of virtual logistics of the transport system of the transport portal KhNADU (ICT KhNADU). The purpose of this article is to study the problem of expressing and proving new rules and concepts for providing knowledge and skills to people who want to work in the IT field of transport applications. The sequence of acquiring knowledge and skills of people who have improved their personal professional level in road transport is determined. Methodology. The idea of computer science as system engineering of successful consecutive creation of computer equipment and software of complex systems by combining their computer and software engineering in the field of motor transport is offered. Practical value. The scope of use of the obtained results is road transport road organizations of Ukraine, residents of cities and regions as individuals or legal entities of users of transport services.

ДОСЛІДЖЕННЯ ВПЛИВУ ПАНДЕМІЧНОЇ КРИЗИ COVID-19 НА ДІЯЛЬНІСТЬ УКРАЇНСЬКИХ БАНКІВ

The COVID-19 pandemic crisis impact has become an integral part of changes in the economy in general and businesses entities’ activities in particular. Banks are no exception. The article examines the impact of the pandemic crisis on the dynamics of Ukrainian banks’ indices. Maintaining stable banks’ activity during the crisis is a necessary condition for financial stability in the country. The results of the analysis of the scientific literature showed that the spread of the COVID-19 pandemic has a statistically significant negative impact on the credit risk of the banking sector, profitability, and solvency of banks. Banks have enough funds to support a sustainable economy but do not want to take credit risk. The study results also showed a reduction in lending to the economy, despite a set of measures to stimulate lending implemented by the state. The analysis of theoretical approaches to identifying the impact of the COVID-19 pandemic crisis on the activities of Ukrainian banks has shown that there is no single understanding and interpretation of such impact in the scientific literature. It is recommended to distinguish between the positive and negative impacts of the pandemic crisis on the banks’ activities. The study results made it possible to identify the negative impact of COVID-19 on the activities of Ukrainian banks in terms of efficiency indicators and the positive impact – in terms of capitalization and business organization. The main advantage for banks was their need as participants in the financial market, which led to the rapid development of tools for remote customer service and digitalization of individual business processes. Given the virtually unchanged number of banks operating in Ukraine during 2020–2021, COVID-19 was not the reason for their refusal to work and exit the market. Maintaining the positive dynamics of most performance indicators by Ukrainian banks became possible due to the significant financial strength formed in the pre-crisis year. Given the low inflation and a significant reduction in interest rates on loans, the COVID-19 pandemic did not significantly negatively impact Ukrainian banks. Banks, in general, have proved to be quite resilient to this crisis.

ArabicDialects: An Efficient Framework for Arabic Dialects Opinion Mining on Twitter Using Optimized Deep Neural Networks

The rapid development of tools for communication such as social networks, tweeting and Whatsapp has generated a large mass of important textual data. Also, the COVID-19 pandemic has inflamed social networks, hence the automatic analysis of opinions has become paramount. The purpose of this paper is to analyze Arabic tweets in terms of positivity, negativity, or neutrality.In analyzing the opinions of the Arabic language, a real challenge is encountered, which lies in the use of different dialects (Egyptian, Saudian, Maghrebian, Gulfian, Levantine, Syrian ⋯). In this paper, we introduce two major components: The first employs six machine learning (ML) methods, including Decision Trees (DT), Logistic Regression (LR), k Nearest Neighbors (K-NN), Random Forests (RF), Support Vector Machines (SVM), and Nave Bayes (NB), with the TF-IDF method acting as the feature extraction.While, the second part consists of testing three variants of Deep Learning (DL) based on multiplicative Long Short Term Memory (mLSTM), Long Short Term Memory (LSTM), and Gated Recurrent Unit (GRU) by applying word embedding as the input vector. The experimental study was validated using three Arabic language corpora (TEAD, ATSAD, and ASTD) and two learning modes (Hold out and 10-folds cross validation). The obtained results in terms of Accuracy (ACC), Precesion (PREC), Recall (REC), and F1-score (F1) show a clear performance for DL techniques based on a 10-folds strategy compared to the state-of-the-art. The experiments shown in the paper reveal that the proposed DL models accomplished the best results.

Chronic ocean noise and cetacean population models

Recent years have seen rapid development of tools and approaches to model population consequences of disturbance in several marine mammal populations from high-amplitude, acute sound sources. Ocean noise from shipping and other maritime activities is now recognized as a chronic, habitat-level stressor. In order to understand population consequences of chronic ocean noise to whales and their populations, advances are needed in several key areas, which are explored in this review. One tractable way to predict population-level consequences of noise-mediated disruption of feeding, which can include both behavioural responses and foraging opportunities lost due to acoustic masking. Masking may be defined as both the process and the amount by which the threshold of hearing of one sound is raised by the presence of another. Parameterising any such model requires information on sensitivity and vulnerability of large whales to ocean noise, in which sensitivity is the degree to which marine features respond to a stressor (e.g., behavioural responses to noise or proportional reduction in foraging efficiency due to masking), and vulnerability is the probability that whales are exposed noise to which they are sensitive. Efforts are underway to provide much-needed information on hearing sensitivity in baleen whales, the role of acoustic cues in foraging, and deriving links between long-term variability in prey availability and whale demography. As this information becomes available, we expect rapid advancement on modelling population consequences of acoustic masking in baleen whales, because those efforts can leverage substantial investments in statistical methodological approaches to model population consequences of disturbance. Pathways of effects other than via foraging disruption (e.g., stress hormones affecting reproduction or disease) are possible, but we illustrate potential ways to proceed based on this tractable approach, namely noise-mediated impacts on foraging. This report highlights case studies of local, national, international, and inter-governmental efforts to monitor and reduce the contribution of global shipping to ocean ambient noise. The following outlines approaches that can be used to assess the risk to baleen whale recovery of existing levels of ocean noise, and consequently, predict the benefits likely to arise from reducing chronic ocean noise.

О математике в экономической науке

<p>В статье обсуждаются достижения и проблемы, связанные<br />с использованием математических моделей и методов в экономических<br />исследованиях. Несомненные успехи в этой области сопровождались крупными<br />провалами, что провоцировало дискуссии о плодотворности и полезности<br />использования математических моделей в развитии экономической науки<br />вообще. Особое место эти дискуссии, продолжающиеся почти пятьдесят<br />лет, играли в истории экономической науки и образования в нашей стране.<br />Суть дискуссии состоит в том, дает ли использование моделей новое знание<br />об экономике или оно добывается иными путями. И второй вопрос: связано ли<br />использование моделей только с одной теоретической концепцией, а именно<br />с неоклассикой, или экономисты могут строить модели придерживаясь других<br />концепций. Кроме того, идея максимизирующего поведения так или иначе<br />присутствует во всех концепциях. Чрезмерное увлечение все более изощренным<br />инструментарием приводит к тому, что содержательные вопросы уходят<br />на второй план, а повторить расчеты по модели становится очень трудно. Эти<br />замечания касаются и эконометрических моделей. Указаны и другие проблемы<br />в использовании экономико-математических моделей. Быстрое развитие<br />инструментария создает проблемы и в экономическом образовании, поскольку<br />экономика остается гуманитарной наукой.</p>