bluuebunny/crossref_metadata_2025 huggingface dataset:
ЕРГОНОМІЧНИЙ ПІДХІД ДО ОРГАНІЗАЦІЇ НАВЧАННЯ ТА ПІДВИЩЕННЯ ЙОГО ЕФЕКТИВНОСТІ
Authors: Мигаль Г. В. , Виходець Ю. С.
Published: September 2023

The article is devoted to the problem of reducing the risks of accidents and safety improvement in the system "driver-vehicle-road." It was found that a significant reason for a large number of road accidents in Ukraine is a systemic contradiction in training process between the structure (organization) of training for drivers and professional features they get. To provide an effective quality management for drivers training the authors have elaborated scientific foundation based on the concept of individualization, and a system model that describes the impact of changes in the business model and corporate architecture to training needs. The technique of educational process organization for drivers training was improved taking into account the individual's physiological characteristics and cognitive capabilities. The recommendations for educational process improvement are given.
АНАЛІЗ АСПЕКТІВ БЕЗПЕКИ КООПЕРАТИВНИХ ЛЮДИНО-МАШИННИХ ІНТЕРФЕЙСІВ ДЛЯ ХМАРНИХ СИСТЕМ ДОПОМОГИ ВОДІЄВІ
Authors: Брежнев Е. В. , Манулик В. С. , Харченко В. С. , Орехов А. А.
Published: September 2023

Intelligent transport systems (ITS) ensure the implementation of active safety paradigms and principles of human-machine interfaces (HMI) for vehicles. An overview of approaches to the construction of such systems based on cloud computing is provided. The concept of safe cooperative human-machine interfaces (CHMI) is formulated. Variants of implementation for safety improvement and reducing of risk of vehicle accidents by means of rapid data exchange about driver’s state, information about onboard systems state (such as Advanced Driver Assistance Systems) and traffic situation in the zone of potential danger and are suggested.
МЕТОДИКА ФОРМУВАННЯ УЗАГАЛЬНЕНОЇ ФУНКЦІОНАЛЬНОЇ СТРУКТУРИ БАГАТОВИМІРНИХ ПЕРЕТВОРЕНЬ ДАНИХ СИНТЕТИЧНОГО ОБЛІКУ ВИТРАТ ПІДПРИЄМСТВА В ІНФОРМАЦІЙНІЙ ТЕХНОЛОГІЇ АУДИТУ
Authors: Нескородева Т. В.
Published: September 2023

The method of formation of functional structures of these expenses that characterize the dimensional data transformation in areas subordinated to three preconditions of accounting (diligence, completeness, frequency). The structural model of transformations set subordinates each premise to realize the generalized analysis of the data corresponding to the background, as well as the structural model of the transformations set on the three preconditions to realize the generalized analysis of the prerequisites for combinations of data. Based on these results, the technique of forming the functional structure of the generalized costs of the enterprise reflects the multidimensional (up to third order) transformation in the directions of transformations subordinated combinations of three prerequisites for accounting provisions. Opportunities and benefits of the generalized functional structure of enterprise costs transformation in the IT audit are identified. This technique is illustrated by the data operating expenses and can be the basis for the method of multidimensional complex generalized analysis of expenditure on three preconditions in IT audit.
ІНФОРМАЦІЙНО-ЕКСТРЕМАЛЬНЕ НАВЧАННЯ СИСТЕМИ ОЦІНКИ ЯКОСТІ НАВЧАЛЬНОГО КОНТЕНТУ ВИПУСКОВОЇ КАФЕДРИ
Authors: Довбиш А. С. , Кулік Є. С. , Козлов З. В. , Осадчий А. С.
Published: September 2023

We consider information synthesis of able to learn informational and analytical system for assessing adaptation of graduating department educational content to the requirements of the labor market. As part of the informationextreme intellectual technology, which is based on maximizing the capacity of information in the process of learning, algorithm of geometrical parameters optimization of class recognition containers renewable in the radial basis of attribute space is offered. Forming input mathematical description of information-analytical system was carried out of a survey of employers and graduates with experience in base speciality for compliance with the current requirements of content modules of ten disciplines with professional training.
СТРУКТУРНО-АВТОМАТНА МОДЕЛЬ ВІДМОВОСТІЙКИХ СИСТЕМ ДЛЯ АВТОМАТИЗАЦІЇ ВИКОРИСТАННЯ МЕТОДУ ФАЗ ЕРЛАНГА
Authors: Федасюк Д. В. , Волочій С. Б.
Published: September 2023

There is a known approach of developing models of reliability of fault-tolerant radioelectronic systems as dyscrete-continuous stochastic markov systems. For that approach, there is an important problem of improving models by considering realistic distribution of durations of procedures and time intervals between events in the process. For developing state-transition models with hundreds or thousands of states, this problem becomes significant. Moreover, this problem becomes critical for reliability synthesis when it’s necessary to develop tens of state-transition models. This problem can be solved by using the approach, based on so-called “structural-automaton model”. This approach improves the analytical modeling techniques by automating the process of state-transition models development. This article describes an improvement of the process of structural-automaton model development. Presented improvement allows to automate the usage of Erlang distribution for developing the state-transition model of the statistical representation of the process of fault-tolerant systems exploitation.
КОРЕЛЯЦІЙНИЙ АНАЛІЗ КОЕФІЦІЕНТІВ ДИСКРЕТНОГО КОСИНУСНОГО ПЕРЕТВОРЕННЯ ДІЛЯНОК ЗОБРАЖЕНЬ
Authors: Мирошниченко А. И.
Published: September 2023

Task of lossy image compression based on discrete cosine transform (DCT) is considered. For image blocks having size 8x8 pixels (it corresponds to division of images on blocks in JPEG standard) presence of correlation between different DCT coefficients of the same block as well as between coefficients of different blocks is analyzed. Values of correlation coefficients are calculated and averaged for set of test images. It is shown that there is substantial correlation between absolute values of DCT coefficients of the same block, while correlation between signs of the coefficients is insignificant. It is shown also that correlation between DCT coefficients of adjacent blocks is smaller than the one for coefficients of the same block. At the same time there are noticeable correlations not only for absolute values but also for signs of coefficients. It is shown that position of DCT coefficient with maximum correlation with given coefficient can be effectively predicted using its indices.
СТРАТЕГІЇ ЗАБЕЗПЕЧЕННЯ БЕЗПЕКИ КРИТИЧНИХ ІНФРАСТРУКТУР З УРАХУВАННЯМ ЕМЕРДЖЕНТНОГО РИЗИКУ
Authors: Брежнев Е. В.
Published: September 2023

Critical infrastructures (CI, system of systems) are the basis of modern society. CI consists of interacting systems, which are combined for the realization of the objective function. Crashes and accidents in CI have a high severity of consequences. One of the causes of accidents (crashes) in CI is the imperfection of methods of risk analysis, particularly, neglecting of emergent risks (ER) related to negative interference between systems. There are two strategies of ER reducing in CI: off-line risk management and the redistribution of resources systems. The task of allocating resources of CI is formulated within the article and two additional strategies of reallocation are proposed. The main difference of these approaches is taking into account individual preferences of systems in CI. Redistribution takes placetaking into account (excluding) the capabilities of systems to reduce their ER and ensure the required safety performance values. The article gives a comparative analysis of the proposed strategies.
ФУНКЦІОНАЛЬНА МОДЕЛЬ ІНФОРМАЦІЙНОЇ СИСТЕМИ ВИЗНАЧЕННЯ СТУПЕНЯ ТЯЖКОСТІ КОЛОРЕКТАЛЬНОГО РАКУ
Authors: Висоцька О. В. , Панфьорова І. Ю. , Козюк А. С. , Доброродня Г. С.
Published: September 2023

The problem of the colorectal cancer extent determination process automation was reviewed in the article. The functional model that provides detailed mapping of the information system’s functionality was created. The obtained results are showing the structured overview of the processes for the information system of colorectal cancer extent determination. The process of the colorectal cancer extent determination could be implemented on the functional model basis. It helps to eliminate errors at the stage of implementation and operation of the system, and will help to present clearer the system and all possible interactions all persons involved in diagnostic activities
ІНФОРМАЦІЙНИЙ СИНТЕЗ ІНФОРМАЦІЙНО-АНАЛІТИЧНОЇ СИСТЕМИ ОЦІНКИ ЯКОСТІ НАВЧАЛЬНОГО КОНТЕНТУ
Authors: Васильєв А. В. , Довбиш А. С. , Любчак В. О. , Осадчий А. С.
Published: September 2023

In this paper the algorithm for parameters optimization of learning information-analytical system assessing the quality of educational content graduating department of higher education with the aim to adapt it to the needs of the labor market is proposed. Machine learning systems implemented under the informational and extremal intellectual technology of data analysis based on maximizing the capacity of information in the process of learning. The parameters of system settings that are optimized for machine learning stage, examined control tolerances mentioned signs of recognition and the geometrical parameters of the partition feature space into classes of quality of educational content as parameters of decision rules are considered. The algorithm of machine learning implements iterative approximation the global maximum informational criterion to its limit values in admissible domain of its function. The results of the proposed algorithm of machine learning system obtained by the example of assessment content modules disciplines of Bachelor in specialty "Computer science and information technology."
АНАЛИЗ ЭФФЕКТИВНОСТИ ФИЛЬТРАЦИИ НА ОСНОВЕ ТЕТРОЛЕТ ПРЕОБРАЗОВАНИЯ ПРИ ПОДАВЛЕНИИ АДДИТИВНОГО ШУМА НА ИЗОБРАЖЕНИЯХ
Authors: Рубель Андрей Сергеевич , Лукин Владимир Васильевич
Published: September 2023

Efficiency of filtering based on tetrolet transform for test image database with different properties distorted by additive white Gaussian noise with different intensity is investigated. As the performance criteria, both standard metrics, for instance, PSNR and visual quality metrics (PSNR-HVS-M, MSSIM, and FSIM) are used. Effect of test image features on optimal threshold is analyzed. A comparative analysis of the tetrolet transform-based filter with DCT-filter with respect toobject edge preservation and effective denoising is shown
ВИДІЛЕННЯ ЗОВНІШНІХ КОНТУРІВ ОБ'ЄКТІВ РОЗПІЗНАВАННЯ НА БАГАТОКАНАЛЬНИХ ЗОБРАЖЕННЯХ
Authors: Васильева Ирина Карловна , Попов Анатолий Владиславович
Published: September 2023

Methods for detecting contour points of objects on segmented images formed by the method of statistical recognition of multichannel data are proposed. Algorithms for linking of adjacent isolated points of the contour of the selected area using distance criteria have been developed. The obtained arrays of points belonging to the outer contour allow us to represent the boundary in the form of scans along the axes in the inertial coordinate system placed at the center of gravity of the object’s image. The algorithms approbation results confirming their effectiveness in problems of constructing brightness-geometric models of recognition objects are presented.
ПІДВИЩЕННЯ ЕФЕКТИВНОСТІ БАЛАНСУВАННЯ НАВАНТАЖЕННЯ В ТЕЛЕКОМУНІКАЦІЙНИХ IP-МЕРЕЖАХ
Authors: Проскочило Артем Викторович , Зряхов Михаил Сергеевич , Воробьев Андрей Васильевич , Акулиничев Артем Аркадьевич
Published: September 2023

A method for increasing the load balancing efficiency in telecommunication IP-networks using locally-dynamic models of router that allows to estimate traffic parameters for traffic allocation (volume and type of flow, stationarity, coefficient of channel use, state and network operation modes) is proposed. For estimation of effectiveness of the proposed load balancing in conditions of varying intensity and probability-time traffic characteristics the simulation of simple IP-based network is done. The load balancing efficiency is evaluated by coefficient of network (channels) use. Analysis of the coefficient of network use shows significant increasing of this criterion by not less than 15% in comparison to standard mechanisms of load balancing by equal cost routes.
АНАЛІЗ МОЖЛИВОСТІ ФОРМАЛІЗАЦІЇ ЗЕМЕЛЬНИХ ВІДНОСИН
Authors: Метешкін Костянтин Олександрович , Кухар Максим Анатолійович
Published: September 2023

This article shows the examples of the formal submission to the set-theoretic language and the language of logic predicate calculus and the theory of some categories of land relations. Necessity of mathematical methods application for formalizing land relations in Ukraine is explained. The resulting formalism in the future will be the foundation for creating a decision support system to resolved problems in the field of land management. The reason for the occurrence of such necessity has become imperfection of contemporary Ukrainian system of land relations, which in its framework does not allow the implementation of the rules and regulations of the land legislation of Ukraine.
ПІДТРИМКА ПРИЙНЯТТЯ РІШЕННЯ ЩОДО ВИБОРУ МАЙБУТНЬОЇ ПРОФЕСІЇ З ВИКОРИСТАННЯМ НЕЧІТКИХ ВІДНОСИН
Authors: Морозова Ольга Игоревна
Published: September 2023

The article suggests one of the ways to solve the problem of vocational guidance for applicants in choosing a future profession through the use of artificial intelligence systems, namely, fuzzy relations. On the basis of fuzzy relations, a number of additional concepts are defined that are used to construct fuzzy models of complex systems. An example of the use of fuzzy relations is provided to support the decision-making on the choice of the future profession. To clarify the result, since the Applicant can choose several professions with the same rating, was proposed to apply an alternative operation of compositing two binary fuzzy relations – (max-prod)-composition.
КОМП’ЮТЕРНЕ МОДЕЛЮВАННЯ ТЕПЛОВИКОРИСТОВУЮЧОЇ СИСТЕМИ ОХОЛОДЖЕННЯ ПОВІТРЯ НА ВХОДІ ГАЗОТУРБІННОЇ УСТАНОВКИ З ОТРИМАННЯМ КОНДЕНСАТУ
Authors: Радченко Андрей Николаевич , Портной Богдан Сергеевич , Портной Богдан Сергеевич , Кантор Сергей Анатольевич
Published: September 2023

The results of the computer simulation of waste heat recovery gas turbine unit intake air cooling system by transformation of the exhaust gas heat with producing the condensate as a subproduct have been analized. With this a two-stage air cooler of combined type with water stage of air precooling and refrigerant stage of air deep cooling were used. The ways and system schemes of separate – according to temperature – withdrawing of condensate during air cooling process, its accumulation and using as a coolant for the stage of air precooling.
АНАЛІЗ БАЛАНСУВАННЯ ПОРТФЕЛЯ ДЖЕРЕЛ ГЕНЕРАЦІЇ ЕЛЕКТРОЕНЕРГІЇ ПРИ ВИРІШЕННІ ПРОБЛЕМИ ОПТИМІЗАЦІЇ ЕНЕРГОПОРТФЕЛЯ
Authors: Заславський Володимир Анатолійович , Заславський Володимир Анатолійович
Published: September 2023

The analysis of balancing of energy portfolio of the companies from the point of view of its three components - the competitiveness, its energy security and impact on the environment was performed. The study analyzes the appropriateness of portfolio management in the energy sector, applies portfolio and multi-criteria optimization theories. This analysis helps to identify priorities in the formation of companies’ energy portfolio, strengths and weaknesses of various sources of electricity generation. The results of the research will contribute to the understanding of the dynamics of the portfolio and the prospects of its change in the future.
ОБЧИСЛЮВАЛЬНИЙ МЕТОД СЕГМЕНТАЦІЇ ПРОТЯЖНИХ ЗОБРАЖЕНЬ ОБ'ЄКТІВ НА ЦИФРОВИХ ЗОБРАЖЕННЯХ
Authors: Погорелов Артем Витальевич , Саваневич Вадим Евгеньевич , Саваневич Вадим Евгеньевич
Published: September 2023

This article describes the computational method for segmenting smoothed objects images on digital images is developed. To reduce computational costs the segmentation is carried out only in areas extracted by the computational method of single objects images segmentation on digital images.Segmentation of smoothed images is carried out sequentially in each selected segment. To reduce computational costs only segments that contain more than one peak are analyzed. Such segments may contain either fragments of smoothed image, or a statistically dependent image of a compact group of objects. In this regard, the decision about the segmented image type is made based by the difference between the segmentation results of both types of object images: smoothed image and an image of a compact group. As a sign of distinguishing between smoothed image and an image of a compact group the ratio between the number of pixels assigned to the image of a compact group and the smoothed image segmented with the start pixel in one peak is used.Images of objects with non-zero visible motion during the exposure time become smoothed with their own motion and have an image whose shape is stretched along the direction of its apparent movement. At the same time, single objects as well as compact groups of objects are immovable during the exposure time. The form of such images of compact groups of objects is often close to circular. To decide the extent of the segmented image it is proposed to use the degree of elongation of its image on a digital frame. As an indication of the degree of elongation of the object image the estimate of the eccentricity value is used in the paper.A study of the developed method of smoothed images segmentation on digital astronomical images was carried out on digital frames obtained using telescopes from 8 astronomical observatories. The developed computational method allowed making a preliminary decision about the type of segmented image (smoothed image or image of a compact group) directly at the segmentation stage.The developed method of segmentation of smoothed images is applied in the software package for automated detection of asteroids and comets CoLiTec. With the use of the developed method, the segmentation of images of comets, asteroids, NEOs, artificial earth satellites is carried out. When processing digital frames obtained without using the daily reference mechanism, the developed method is used to select all objects in the digital image.
МОДЕЛЮВАННЯ ПРОЦЕСІВ ОХОЛОДЖЕННЯ ПОВІТРЯ З АКУМУЛЯЦІЄЮ ТА ВИКОРИСТАННЯМ РЕЗЕРВУ ХОЛОДОПРОДУКТИВНОСТІ ЕЖЕКТОРНОЇ ХОЛОДИЛЬНОЇ МАШИНИ У БУСТЕРНОМУ ПОВІТРООХОЛОДЖУВАЧІ
Authors: Радченко Андрій Миколайович , Кантор Сергій Анатолійович , Ткаченко Веніамін Сергійович , Портной Богдан Сергійович , Прядко Олександр Ігорович
Published: September 2023

The heat-humidity processes of gas turbine unit intake air deep cooling to the temperature of 10 °C and lower with the use of refrigerant boiling at the temperature of about 4-6 °C as a coolant and the ejector chiller utilizing the turbine exhaust gas waste heat as a thermotransformer has been analyzed for daily changing ambient air temperatures and changeable heat loads on the air cooler as consequence. The computer programs of the firms-producers of heat exchangers were used for gas turbine unit intake air cooling processes simulation. It is shown that at decreased heat loads on the air cooler a surplus refrigeration capacity of the ejector chiller exceeding current heat loads is generated which can be used for covering an increased heat loads on the air cooler and to reduce the refrigeration capacity of the ejector chiller applied. To solve this task the refrigeration capacity required for gas turbine unit intake air cooling are compared with the surplus refrigeration capacity of the ejector chiller exceeding current heat loads summarized during some time period.The system of two-stage gas turbine unit intake air cooling of combined type with a buster water stage of precooling air to the temperature of about 15 °C and refrigerant stage of further deep cooling air to the temperature of about 10 °C by refrigerant ejector chiller as the low temperature cooling stage has been proposed. The water for a buster stage of precooling air is cooled by using the surplus refrigeration capacity of the ejector chiller during decreased heat loads on the two-stage gas turbine unit intake air cooler and is collected in the thermal accumulator for the use during increased heat loads on the air cooler. The results of gas turbine unit intake air cooling processes simulation proved the reduction of refrigeration capacity of the ejector chiller applied by 30-40 % due to the use of a buster water stage of precooling air at the expanse of the surplus ejector chiller refrigeration capacity served in the thermal accumulator. So the main conclusion has been made about the efficient use of such a two-stage air cooling of combined type with a buster water stage of precooling air by surplus refrigeration capacity from the thermal accumulator and refrigerant stage for further deep cooling air to the temperature of about 10 °C and lower by a refrigerant chiller as the low temperature cooling stage as a perspective approach in refrigeration.
ПЛАНУВАННЯ ЕКСПЕРИМЕНТАЛЬНИХ ДОСЛІДЖЕНЬ ЗАЛЕЖНОСТІ СПОЖИТОЇ ЕЛЕКТРИЧНОЇ ЕНЕРГІЇ ВІД РЕСУРСІВ, ЩО СПОЖИВАЮТЬСЯ ВЕБ-БРАУЗЕРОМ В ОПЕРАЦІЙНІЙ СИСТЕМІ WINDOWS
Authors: Вдовитченко Александр Валерьевич , Макельская Яна Валерьевна
Published: September 2023

The article contains materials of planning experimental research of modern web browsers' energy efficiency.Modern technologies of software development do not always allow you to get an energy-efficient software at the output. Therefore, an increase of energy efficiency and the necessity to reduce operating costs, while reducing the environmental impact has become an current issue in many scientific communities. An open question which requires both theoretical and experimental study is understanding the functioning of software and its influence on the overall power consumption of a portable device.A web browser is an application that every Internet user has. Today, there are many different web browsers, but their main purpose is to enable the user to interact with text, images, videos, music, games and other information located on a website page on the Internet or a local network.  Despite the growing popularity of using web browsers on portable devices, the energy consumed by this application is uncertain Therefore, experimental research of consumed energy by web browsers is an actual scientific and applied problem.At least 3 tools are needed to determine the performance and power consumption of web browsers. The first is a collection of loads to measure the performance of web browsers. As such a tool, two benchmarks are chosen from the Finnish company Futuremark, namely PEACEKEEPER. The second benchmark from the company Mozilla, which is called Dromaeo. Some popular benchmark variants, tests of which exist in selected tools were also considered. The second is the tool for energy profiling. The choice of Joulemeter software is explained by the fact that it is a profiler for Windows, which uses performance metrics to estimate the expended energy. Allows you to define and save in a file for later analysis of energy consumption of CPU, HDD, GPU, network devices and screen. And the most important thing is to monitor the consumption of electricity by a separate process. The third is a means of monitoring the use of system resources by the process. The standard utility included in the Windows OS was selected - a system monitor that allows you to monitor the consumption of system resources in real time, as well as keep usage statistics of these resources and save it into a file.For the processing of experimental data, the main methods of statistical analysis have been selected. Preliminary processing of data is carried out on the basis of basic statistical indicators such as: mean, minimum, maximum value, mean deviation, standard deviation, etc.The development of this research is supposed to carry out experimental studies of the energy efficiency of modern web browsers.
China's meat consumption
Authors: Gale Fred , Dong Fengxia ,   United States. Department of Agriculture. Economic Research Service
Published: September 2023

China's emergence as a major meat producer, consumer, and importer creates export opportunities for the United States and other producers. China has become the world's largest meat importer, as growth in its own production has diminished. Growth in China's meat production and consumption has slowed due to decelerating population and income growth, animal disease, scarcity of land for feed and forage, rising production costs, and health concerns. Has China's consumption of meat reached a ceiling, or is there room for more growth?
ОЗНАКИ БАГАТОМОВНОСТІ У ЗАКЛАДАХ ВИЩОЇ ОСВІТИ КРАЇН ЄС
Authors: Ігнатова Олена
Published: September 2023

Аналізуються тенденції міжкультурної комунікації, яким надається перевага в політиці і науці. Виявлено, що поширення англійської мови розглядається як основна змінна у взаємозв'язку глобалізації, інтернаціоналізації та неолібералізму. Звертається увага на те, що основним чинником інтернаціоналізації є використання англійської мови для викладання і навчання, наукових досліджень, академічних публікацій і різних форм професійного спілкування. Зазначено, що політики відводять англійській мові важливу роль в економічному розвитку, модернізації, глобальній комунікації та мобільності. Розрізняється два способи реалізації двомовного навчання в рамках інституціолізованого навчального середовища. Дослідження багатомовності показали, що загальний мовний розвиток людини – це єдиний процес, в якому навички та знання переносяться з однієї мови на іншу. Проте встановлено, що теорії та моделі дослідження багатомовності та вивчення мов у вищій школі враховують взаємозалежність у лінгвістичних знаннях та визначають лінгвістичне перенесення або зв'язок із попередніми знаннями та стратегіями вивчення мови з раніше вивчених мов як центральні елементи багатомовності, які можуть сприяти економізації вивчення іноземних мов.
Agronomic characterization of pigmented native corn populations (Zea mays L.)
Authors: Sánchez-Ramírez Francisco J. , Rincón-Sánchez Froylán , Ruiz Torres Norma A. , Sánchez-Sánchez Graciela
Published: September 2023

Objective: To characterize agronomically 52 populations of pigmented native corn (Zea mays L.) from Coahuila, Mexico, in order to identify varieties with outstanding agronomic potential and to establish an improvement program with potential for grain yield, with the ability to adapt, and superior nutritional bioactive content.
Design/Methodology: Two experiments were evaluated through an incomplete block design in lattice alpha arrangement, in two localities that are representative of the agricultural area of southeastern Coahuila: a) Yellow populations, mostly of Tuxpeño, Ratón and Tuxpeño Norteño; and b) Anthocyanin populations (blue, red and purple), represented primarily by Cónico Norteño, Elotes Cónicos and Ratón.
Results: There is an environmental effect that contrasts between localities, with differences in grain yield of up to 78%; 25 days of difference in flowering, 53 cm in plant height, and up to seven plants without cobs. The response was product of the agricultural potential in each locality. The outstanding yellow populations due to their superior yield expression in both localities were the landraces Tuxpeño: COAH068, COAH089, COAH177 and COAH215, and Celaya: COAH075. The outstanding anthocyanin populations were Ratón: COAH23 and COAH203; Elotes Cónicos: COAH246 and COAH019; and Elotes Occidentales: COAH021; in addition, the study found populations adapted to a locality.
Conclusion: Among the diversity of the pigmented native corn in Coahuila, there are populations with superior agronomic expression that can be the basis for improving the production, the nutritional quality of the grain, and therefore, of its byproducts.
Optimization of a production unit of the dairy agroin-dustry: Chapingo dairy technology unit case
Authors: Cortez Reyes Carlos Martín , Arana Coronado Oscar Antonio , Garza Bueno Laura Elena , Martínez Damián Miguel Angel , Rodríguez Yam Gabriel Arcangel
Published: September 2023

Objective: To evaluate the optimization level of a dairy production unit (DPU) through a mathematical programming model (MP). It is expected that by maximizing net income by at least 10%, the DPU will be more profitable than without optimized management.
Design/Methodology/Approach: The analysis was carried out under the economic approach of agricultural production, taking into consideration 11 decision variables in the objective function (OF), which was subject to 20 constraints. The variables were based on the requirements of the demand for dairy by-products, using technical coefficients (input-output coefficient). Excel® Solver® was used to develop the sensitivity report and to analyze the shadow prices and reduced costs.
Results: Three scenarios were modeled. Between the first and third scenario, the income increased to $58,000.00 (41.02%). Between the second and third scenario, the income increased to $63,840.00 (46.16%).
Study Limitations/Implications: Dairy food processing is an important industry in the economies of the world.
Findings/Conclusions: Panela cheese recorded the highest shadow price ($72.85), which indicates that the DPU should concentrate on this type of dairy product. In conclusion, the optimization of the DPU guarantees the efficient use of scarce resources and therefore generates a higher profit.
Horses’ welfare during transport
Authors: Ortega Cerrilla Maria Esther , Vázquez Díaz Rigobero , Bárcena Gama José Ricardo , Ramírez Bribiesca Jacinto Efrén , Pérez Rodríguez Paulino , Lombardero Goldacerena Germán , Ayala Rodríguez Julio Miguel
Published: September 2023

Objective: To review the literature related to horses’ welfare during transport.
Approach: Transporting horses is a common practice in the equine industry and obeys to different reasons and activities. Therefore, understanding the factors that intervene during transport and management of the horses is critical.
Limitations on study/implications: Horses are the most transported animals globally, this being a very stressful event. Different factors affect their welfare during this process, such as the type of vehicle, the driver’s expertise, the length of the trip, the orientation of the animal in the vehicle, lesions and diseases.
Conclusions: The factors involved in horses’ transport should be known and taken into account, to ensure the horses’ welfare.
Observations on a 40-Year January Bird Census in Boone County, Nebraska, 1978–2017
Authors: Mollhoff Wayne
Published: September 2023

For 40 years Wayne Mollhoff conducted a personal bird census every January. He explains: "After having run several Breeding Bird Survey routes, and participated in several Christmas Bird Counts, I became curious to see what might be found on a winter count under the more tightly controlled parameters of a census, as contrasted with Christmas counts done with variable numbers of observers."

The count was set up similarly to the USGS Breeding Bird Survey routes with 50 stops, one-half mile (800 meters) apart, all birds counted for 3 minutes, with birds counted at one stop not counted again at following stops. The census route ran from the northwest corner of Boone County, along Beaver Creek, to a point outside Albion. Counts began at local sunrise.

A total of 73 species were recorded during the 40-year census. This paper records those results and offers observations on patterns of occurrence or absence and changes in frequency.
PENYEBARAN SISTEM VOKAL DMP DI YAHA
Authors: Malee Ibrohim
Published: September 2023

Kajian ini dilakukan bertujuan melihat ciri linguistik bagi setiap varian yang wujud di Yaha. Bentuk vokal dilihat dari segi kesejajaran dan penyebarannya dalam ruang geografi, sama ada wujudnya persamaan ataupun perbezaan dalam varian tersebut. Metodologi yang digunakan ialah metodologi kualitatif yang dimanfaatkan dalam kajian dialektologi, khususnya kajian lapangan yang berkaitan dengan lokasi kajian, pemilihan informan, pengumpulan data dan menganalisis data. Hasil dapatan menunjukkan bahawa di tujuh kawasan kampung yang menggunakan varian itu, pertama wujudnya kesejajaran dan penyebaran sistem fonologi bagi vokal pada sesetengah kawasan kampung di Yaha. Kedua, dialek Melayu Patani Yaha dapat dibahagikan kepada tiga varian utama, iaitu varian Yaha asli atau varian tempatan Yaha, varian pendatang (varian Pattani) dan varian campuran. Ketiga-tiga varian utama yang diperoleh daripada kawasan kajian menunjukkan bahawa varian di Yaha atau sub-varian Yaha mempunyai ciri-ciri linguistik yang agak berbeza dengan varian-varian lain di selatan Thailand (Patani). Hal ini dikatakan demikian kerana melalui kajian ini, keunikan dialek, terutama sekali dialek Melayu yang wujud di selatan Thailand dapat diketengahkan.
MANIKAM KALBU
Authors: Mohammad Yusoff Mohd Haniff
Published: September 2023

Sastera remaja antara cabang yang perlu diberikan perhatian dalam mengetengahkan identiti Melayu sebagai landasan membentuk jati diri dan sahsiah yang berkualiti dalam diri seorang remaja. Masalah lambakan novel remaja yang mengangkat tema pornografi dan tidak menjaga ketertiban bahasa adalah permasalahan yang membimbangkan. Fenomena ini mentamsilkan keterbatasan pengarang dalam mengangkat persoalan yang relevan serta berunsurkan pendidikan khususnya untuk golongan remaja. Penelitian ini menjadikan novel Manikam Kalbu karya Faisal Tehrani sebagai teks kajian. Naskhah Manikam Kalbu telah diangkat sebagai pemenang tempat pertama dalam Sayembara Mengarang Novel sempena perayaan Jubli Emas Dewan Bahasa dan Pustaka (DBP). Keunggulan novel ini turut terserlah apabila dipilih oleh panel penilai sebagai pemenang kategori novel remaja dalam Hadiah Sastera Perdana Malaysia (HSPM) sesi 2006/2007. Makalah ini bertujuan mengenal pasti elemen identiti Melayu yang diungkapkan dalam novel Manikam Kalbu. Pendekatan Sosiologi Sastera oleh Alan Swingewood dijadikan panduan dalam mendasari penelitian ini. Kaedah kualitatif diterapkan bagi mencapai objektif kajian, iaitu dengan menggunakan kaedah pengumpulan data dan kaedah analisis kandungan. Novel Manikam Kalbu menampilkan watak remaja yang ideal serta berupaya menjadi suri teladan kepada golongan pembaca khususnya remaja. Hasil kajian mendapati novel Manikam Kalbu menyerlahkan identiti Melayu seperti busana Melayu, adat Minang, adab memuliakan tetamu dan adat mengadap raja yang boleh mendekatkan golongan remaja pada usul bangsa dan memperkukuhkan jati diri mereka dalam era globalisasi ini.
Raising a Child with Early Childhood Dis-ability Supports Shakonehya:ra's ne shakoyen'okon:'a G’chi-gshkewesiwad binoonhyag ᑲᒥᓂᑯᓯᒼ ᑭᑫᑕᓱᐧᐃᓇ ᐊᐧᐊᔕᔥ ᑲᒥᓂᑯᓯᒼ ᑲᐧᐃᔕᑭᑫᑕᑲ : Ga-Miinigoowozid Gikendaagoosowin Awaazigish, Ga-Miinigoowozid Ga-Izhichigetan
Authors: Ineese-Nash Nicole , Bomberry Yvonne , Underwood Kathryn , Haché Arlene
Published: September 2023

The Inclusive Early Childhood Service System Project (IECSS) is a qualitative longitudinal study of families’ experiences of accessing services for their children who have disabilities or developmental delays in early childhood.This article presents findings and analysis of data from Indigenous participants in the IECSS study. The study found that Indigenous families were often very engaged in culturally specific services for their children and families, in addition to accessing mainstream disability support services. Further, the study found that the system operatesfrom a colonial framework that does not align with Indigenous ways of child-rearing and knowledge of human diversity. Consequently, the underlying ideological differences often lead to conflict for Indigenous families as they seek to maintain their cultural understandings of development while accessing supports for their children. These findings suggest that Indigenous concepts of disability and childhood need to be integrated into the current disability support system to increase access and efficacy.
Everyone Is Welcome: Inclusive Early Childhood Education and Care
Authors: Underwood Kathryn
Published: September 2023

Supporting all children to fully participate in their communities requires high quality Early Childhood Education and Care (ECEC) experiences. High quality inclusive ECEC programs have three key components: they are accessible to all children and their families; they are designed and carried out with consideration for the unique needs of each child; and they include ongoing evaluation of programs to ensure full participation (Underwood & Frankel, 2012). In high quality ECEC programs all children have opportunities to develop their language, social, physical and cognitive abilities. Inclusive early education is not just about placement in a program, but also active participation in social interactions and the development of children’s abilities and skills. Children at a range of developmental levels, including children identified with special needs in the ECEC service system, should be welcomed as valued members of the community by supporting active participation in all early childhood settings (Underwood, Valeo & Wood, 2012).
A vállalatok kartelljogi felelőssége
Authors: Müller Nadja
Published: September 2023

A vállalati felelősség funkcionális koncepciója az európai kartelljogban, amely független a társaság jogi formájától, egyre inkább elfogadásra kerül nemcsak európai, hanem nemzeti szinten is; lehetővé teszi a vállalati szankciókat, összhangban a vállalatok gazdasági és társadalmi-politikai szerepével a mai világban.
Bűnüldözési célú adatkezelés – releváns EU jogforrások, az EU rendszereinek interoperabilitása
Authors: Jánosi Andrea
Published: September 2023

Az EU bel- és igazságügy területén működő információs rendszereink interoperabilitása ma már nem csupán vízió. 2019-ben két rendeletet fogadtak el az interoperabilitás jogi kereteinek megteremtése érdekében. Jelen tanulmány célja, hogy bemutassa, hogyan jelent meg az ezen a területen működő információs rendszerek interoperabilitásának gondolata és koncepciója a különböző uniós jogi dokumentumokban, valamint áttekintést ad a jelenlegi interoperabilitási keretrendszer alapvető elemeiről.
GenReGait: Gender Recognition using Gait Features
Authors: Ti Yue Fong , Connie Tee , Goh Michael Kah Ong
Published: September 2023

Gender recognition based on gait features has gained significant interest due to its wide range of applications in various fields. This paper proposes GenReGait, a robust method for gender recognition utilizing gait features. Gait, the unique walking pattern of individuals, contains distinct gender-specific characteristics, such as stride length, step frequency, and body posture, making it a promising modality for gender estimation. The proposed GenReGait method begins by extracting landmark positions on the human body using a human keypoint estimation technique. These landmarks serve as informative cues for estimating gender based on their spatial and temporal characteristics. However, environmental factors can impact gait patterns and introduce fluctuations in landmark points, affecting the accuracy of gender estimation. To overcome this challenge, GenReGait introduces a robust preprocessing technique known as Weighted Exponential Moving Average to smoothen the gait signals and reduce noise caused by environmental factors. The smoothed signals are then fed into a deep learning network trained to perform gender estimation based on the gait features extracted from the landmark positions. By leveraging deep learning algorithms, the proposed GenReGait method effectively captures complex patterns and relationships within the gait features, enhancing the accuracy and reliability of gender recognition. Experimental evaluations conducted on the Gait in the Wild dataset and a self-collected dataset validate the robustness and effectiveness of the proposed GenReGait approach.
Engaging Learning Experience: Enhancing Productivity Software Lessons with Screencast Videos
Authors: Vellappan Usha , Liyen Lim , Lim Su Yin
Published: September 2023

The use of screencast videos can improve the effectiveness of the teaching and learning process, whether it is face-to-face or online. Screencast videos are digital resources that capture the computer screen and create an audio-visual experience, and they can be shared online to aid the learning process. It eliminates the need for educators to repeat information multiple times and creates an uninterrupted personalised learning environment for the students. This method of learning gives students a more personalised sense, as if they were given one-on-one guidance from the educator, with students having access to the educator and receiving immediate feedback during the class session. The purpose of this study is to investigate how well students learn when screencast videos are used as instructional materials in lab classes. The report gives the opinions of 34 business programme students regarding their experience learning basic word processing, presentation slides, and spreadsheet creation using screencast recordings. This is a descriptive study with data collected using a Likert scale questionnaire. According to the study's findings, students responded favourably to this technique. Students stated that they can study more effectively and complete their work faster when there is no interruption. They were able to fully concentrate on the videos and effortlessly follow the instructions. When compared to traditional instructor-led lab programmes, the time required to complete the video lessons and supplementary challenge questions was significantly reduced. They also appreciated the educator’s immediate feedback because the educator's time was spent observing them rather than teaching.
Multi-Label Classification with Deep Learning for Retail Recommendation
Authors: Poo Zhi Yuan , Ting Choo Yee , Loh Yuen Peng , Ghauth Khairil Imran
Published: September 2023

Selecting the right retail business for a location is crucial for the success of a business because it determines the likelihood of favourable return on investment. One common approach used in retail recommendation is multi-class classification, where retail businesses are categorized into different classes or categories based on various features or attributes. Existing research in the field of retail recommendation has extensively proposed and evaluated different algorithms, techniques, and approaches for multi-class classification in the context of retail recommendation, however, limited work has been focusing on formulating retail recommendation as a multi-label problem. This is because in retail recommendation, one location can fit multiple retail businesses so that it can provide more options to recommend the most suitable business for the location. Therefore, multi-label classification will be attempted in this study. An analytical dataset will be constructed that provides comprehensive insights into the characteristics of the business area, and subsequently employ deep learning technique for multi-label classification. The analytical dataset is constructed based on the list of sites of interest data from YellowPages, population data from Humanitarian Data Exchange (HDX) and property data sourced from brickz.my. This work will be focusing on implement deep learning technique which is 1D convolutional neural network (CNN) model. The findings showed that the proposed model achieved 61.22% in terms of accuracy.
Dropout Prediction Model for College Students in MOOCs Based on Weighted Multi-feature and SVM
Authors: Yujiao Zhang , Ang Ling Weay , Shaomin Shi , Palaniappan Sellappan
Published: September 2023

Due to the COVID -19 pandemic, MOOCs have become a popular form of learning for college students. However, unlike traditional face-to-face courses, MOOCs offer little faculty supervision, which may result in students being insufficiently motivated to continue learning, ultimately leading to a high dropout rate. Consequently, the problem of high dropout rates in MOOCs requires urgent attention in MOOC research. Predicting dropout rates is the first step to address this problem, and MOOCs have a large amount of behavioral data that can be used for such predictions. Most existing models for predicting MOOC dropout based on behavioral data assign equal weights to each behavioral characteristic, despite the fact that each behavioral characteristic has a different effect on predicting dropout. To address this problem, this paper proposes a dropout prediction model based on the fusion of behavioral data and Support Vector Machine (SVM). This innovative model assigns different weights to different behavior features based on Pearson principle and integrates them as data inputs to the model. Dropout prediction is essentially a binary problem, Support Vector Machine Classifier is then trained using the training dataset 1 and dataset 2. Experimental results on both datasets show that this predictive model outperforms previous models that assign the same weights to the behavior features.
The Assistance of Eye Blink Detection for Two- Factor Authentication
Authors: Chuah Wei-Hoong , Chong Siew-Chin , Chong Lee-Ying
Published: September 2023

This paper discusses the implementation of a blink detection method using 68 facial markers and the eye aspect ratio (EAR) to provide strong protection for access systems. It investigates the importance of 68 facial markers and explores how to use eye landmarks to calculate the eye aspect ratio. Access systems, which should have good security measures and be difficult to decipher, are typically safeguarded by passwords or multi-factor verification, such as passwords combined with facial recognition. However, these methods have inherent weaknesses, including the risk of shoulder surfing with passwords and the potential to be deceived by fake face images with facial recognition. To address these issues, a two-factor authentication method by using password with eye blink recognition is proposed as an effective solution for access control. By incorporating real-time eye blinking action, the system can avoid the use of fake images and prevent shoulder spoofing. To demonstrate the practical application of eye blink detection for enhanced two-factor authentication, a web application called "Eblink" is introduced. Functional tests have been conducted to validate the application's core features.
Keterbatasan Cerita Pendek Horor Karya Artificial Intelligence (AI) pada Perangkat Lunak ChatGPT
Authors: Yudono Kristophorus Divinanto Adi
Published: September 2023

The digital era has given rise to a variety of innovations, one of which is AI. Artificial Intelligence (AI) is assumed to be able to create a variety of things including producing a story. One of the AI known by the public is ChatGPT. However, the production of stories by AI is assumed to have limitations. The purpose of this study is to analyze and describe the limitations of horror short stories produced by the artificial intelligence application, ChatGPT. This research is an objective research by applying a qualitative approach. The source of the research data is 20 horror short stories written by artificial intelligence on the ChatGPT application. Data collection is carried out by listening to record techniques. Data analysis is carried out by structural analysis, which is analyzing the building blocks of the story. This is the basis for conclusions related to the limitations of AI in producing horror stories. The results showed that Ai's limitations in writing horror short stories include limitations in writing titles, conversations, intrinsic elements, and the use of olfactory imagery. AI does not write the title of the story, writes dialogue in the form of direct sentences, repeats the background of the story, and does not write stories with the use of olfactory imagery language style.