bluuebunny/crossref_metadata_2025 huggingface dataset:
Inteligencia artificial (IA) y producción de conceptos en santo Tomás de Aquino
Authors: Ocampo Ponce Manuel
Published: August 2024

El término de inteligencia artificial (IA) se ha estado utilizando para referirse a una tecnología que es capaz de imitar las operaciones cognoscitivas del ser humano mediante el uso de sistemas computacionales y programas informáticos. Sin embargo, es importante indagar si es correcto aplicar el calificativo de inteligencia a esa tecnología digital. Para lograr ese objetivo, consideramos oportuno aprovechar el análisis del proceso de abstracción y producción de conceptos expuesto por santo Tomás de Aquino, que nos permita conocer la naturaleza de la inteligencia humana y compararla con los procesos de la (IA). Santo Tomás sintetiza magistralmente el pensamiento clásico y cristiano occidental, ofreciendo fundamentos gnoseológicos que podemos utilizar para valorar lo que se ha llamado inteligencia artificial a la luz de la primera operación de la mente humana que es la simple aprehensión o abstracción.
Pengaruh Penggunaan Feses Domba, Feses Sapi dan Blotong Tebu Sebagai Media Hidup Terhadap Populasi, Bobot Badan, Konsumsi dan Konversi Pakan pada Cacing Tanah Eudrilus Eugeniae
Authors: Kurniawan Surya Aji , Cholis Nur
Published: August 2024

Tujuan penelitian ini adalah untuk mengetahui pengaruh penggunaan limbah feses domba, feses sapi dan limbah blotong tebu sebagai media terhadap populasi, bobot badan, konsumsi dan konversi pakan pada cacing tanah Eudrilus eugeniae, serta untuk mendapatkan penggunaan media yang terbaik untuk pertumbuhan cacing tanah Eudrilus eugeniae. Materi penelitian yang digunakan yaitu menggunakan cacing tanah berjenis Eudrilus eugeniae sebanyak 50 ekor/media dengan umur sekitar 2 bulan. Metode penelitian yang digunakan adalah menggunakan metode percobaan eksperimental kuantitatif dengan percobaan RAL yang menggunakan 4 perlakuan dan 5 ulangan. Setiap perlakuan menggunakan campuran limbah dengan perlakuan P0 (Kascing 100%), P1 (Kascing 25% + Feses Domba 75%),Â  P2 (Kascing + Feses Sapi 75%) dan P3 (Kascing 25% + Blotong Tebu 75%). Variabel yang diamati meliputi pertambahan populasi, bobot badan, konsumsi dan konversi pakan cacing tanah Eudrilus eugeniae. Data dianalisis dengan menggunakan ANOVA dan bila terdapat perbedaan nyata dilanjutkan dengan DMRT. Hasil penelitian menunjukkan bahwa penggunaan media hidup berpengaruh sangat nyata (P<0,01) pada cacing tanah Eudrilus eugeniae terhadap pertambahan populasi pada perlakuan P2: 2.1 ekor/hari, bobot badan pada perlakuan P2: 0.37 g/hari, konsumsi pakan P3: 817.6 g . Sedangkan konversi pakan cacing tanah Eudrilus eugeniae menunjukkan tidak berpengaruh nyata (P>0,05). Media hidup terbaik untuk pertumbuhan cacing tanah Eudrilus eugeniae yaitu penggunaan feses sapi sebagai media hidup yang terlihat pada hasil pertambahan populasi dan bobot badan tertinggi. Berdasarkan hasil penelitian, saran yang diberikan adalah penggunaan feses sapi disarankan sebagai media hidup yang digunakan dalam budidaya cacing tanah yang dapat memberikan populasi dan bobot badan yang tinggi.
Evaluasi Tingkat Keberhasilan Inseminasi Buatan Pada Sapi Potong di Dataran Tinggi dan Rendah
Authors: Kusumawati Enike Dwi , Ikhwan Amin Nur , Krisnaningsih Aju Tjatur Nugroho
Published: August 2024

Tujuan penelitian adalah untuk mengetahui tingkat keberhasilan inseminasi buatan pada sapi potong di dataran tinggi dan dataran rendah. Daerah yang digunakan dalam penelitian adalah daerah dataran tinggi Kecamatan Prigen dan dataran rendah Kecamatan Kraton Kabupaten Pasuruan. Penelitian dilaksanakan pada tanggal 27 Juni â€“ 2 Juli 2023. Materi penelitian adalah sapi potong yang berada di wilayah Kecamatan Prigen dan Kecamatan Kraton Kabupaten Pasuruan. Penelitian ini menggunakan metode studi kasus dimana data primer diperoleh dari recording inseminator disertai peninjauan secara langsung. Variabel yang diamati adalah service per conception dan conception rate pada sapi potong setelah dilakukan perkawinan dengan inseminasi buatan di dataran tinggi dan dataran rendah. Metode atau teknik analisis data dilakukan dengan cara mengumpulkan data primer maupun data sekunder yang diperoleh dalam bentuk kuantitatif dan dianalisis menggunakan Uji T. Banyaknya akseptor IB Kecamatan Prigen selama bulan April - Mei tahun 2023 adalah 230 ekor dengan jumlah bunting 215 ekor. Banyaknya akseptor IB Kecamatan Kraton selama bulan April - Mei tahun 2023 adalah 176 ekor dengan jumlah bunting 167 ekor. Berdasarkan perhitungan Conception Rate (CR) pada dataran tinggi dan rendah. Angka konsepsi di daerah Kecamatan Kraton adalah 55,68% sedangkan daerah Kecamatan Prigen 69,13%, sedangkan berdasarkan perhitungan Service Per Conception nilai S/C di Kecamatan Kraton adalah 1,53 sedangkan nilai S/C di Kecamatan Prigen adalah 1,36. Dari hasil pengujian hipotesis menggunakan uji T didapatkan bahwa Conseption Rate dan Service Per Conception antara dataran rendah dan dataran tinggi terdapat perbedaan yang nyata. Berdasarkan hasil penelitian dapat disimpulkan bahwa hasil inseminasi buatan lebih bagus di dataran tinggi daripada dataran rendah. Nilai Conception Rate (CR) di daerah dataran tinggi Kecamatan Prigen sebesar 69,13% dan dataran rendah Kecamatan Kraton 55,68% sedangkan Service Per Conception (S/C) di dataran tinggi Kecamatan Prigen 1,36 dan dataran rendah Kecamatan Kraton 1,53.
The method and fuzzy models for evaluating the functional states of RAM
Authors: Rybakov A. Y. , Rodionova S. N. , Razumova K. V. , Milostnaya N. A. , Korzhuk N. L.
Published: August 2024

The purpose of the research is to improve the quality of assessment of functional states of working memory by developing a method for synthesizing fuzzy decision rules.Methods.To monitor the state of various RAM blocks, a set of techniques was selected: reaction time assessment; searching for a signal in noise; "identification"; full reproduction; identification of missing digits; Memory. To synthesize decision rules, additional methods were used to assess such properties of attention as switchability, concentration and stability, for the implementation of which a device for monitoring the properties of the attention and memory function was used. To select an adequate mathematical research apparatus, an exploratory analysis of the structure of the processed data was carried out, according to which it was established that the selected classes of RAM states are of a fuzzy nature with uncertain boundaries of their intersections. Taking this into account, the methodology for the synthesis of hybrid fuzzy decision rules was chosen as a mathematical research tool, which was modified by developing a new method for fuzzy assessment of the functional state of RAM based on the characteristics of its properties.Results.In the course of the research, models were synthesized to assess such characteristics of the functional state as levels of fatigue, psycho-emotional stress and the functional state of RAM using the full reproduction method. The resulting models can be used to synthesize decision rules for forecasting, early and differential diagnostics of the functional state, assessing the quality of work of the operator of human-machine systems and the health status of RAM.Conclusion.The paper proposes a method for synthesizing fuzzy decision rules for assessing the functional state of RAM based on the characteristics of its properties using techniques obtained from the results of microstructural analysis. Fuzzy decision rules were obtained for assessing the level of fatigue, psycho-emotional stress and the functional state of RAM using the full reproduction method. During expert assessment and mathematical modeling, it was shown that confidence in the correct assessment of the level of functional state exceeds 0,95.
Modeling of informative features based on the amplitude-phase frequency response during bioimpedance studies at a biological facility
Authors: Korsunsky N. A. , Reutov D. K. , Malyshev A. A. , Tomakova R. A.
Published: August 2024

The purpose of research is to develop and test a technique for forming informative features using descriptors for neural networks designed to assess medical risks based on the analysis of transient processes in biomaterial in a living organism (in vivo).Methods. Studies suggest the use of test electrical effects on areas of the body with unusual conductivity to obtain the amplitude-phase-frequency characteristic of the impe-dance of the biomaterial on which the specified effect was performed. The coordinates of the Cole graph of this biomaterial were used as key para-meters. To form the Cole graph, the Carson transform was used, based on transient data obtained using a four-terminal, where the main element is the impedance of the studied biomaterial. The input signals for the four-terminal were a sequence of sinusoidal pulses.Results. Based on the E20-10 data collection system manufactured by L-Card CJSC, a software and hardware complex has been developed for digitizing transient processes in four-terminal circuits, the element of which is the impedance of biomaterial in anatomical areas with abnormal electrical conductivity. Software in the Delphi programming language was developed to generate test signals and record biomaterial responses to these exposures. A theoretical model was also proposed explaining the conversion of the samples of the transition characteristic of the four-terminal with the impedance of the biomaterial to the Cole graph of this biomaterial.Conclusion. The study confirms that the use of a linear biomaterial impedance model contributes to the formation of descriptors based on the amplitude-phase-frequency characteristic, taking into account its dissipative properties. Building a Cole graph taking into account these dissipative characteristics allows us to develop classifiers of medical risks of socially significant diseases.
Multimodal breast cancer risk classifier based on biomaterial impedance analysis
Authors: Serebrovsky A. V. , Shatalova O. V. , Lyakh A. V. , Khalin I. A. , Bashmakova I. A. , Protasova Z. U.
Published: August 2024

Purpose of the research. Breast cancer is the most common malignant tumor among women in Europe and its early detection plays a leading role in reducing mortality rates. Currently, X-ray mammography is the standard screening method for detecting breast cancer. However, due to the morphological similarities between benign and malignant lesions, many of the positive screening mammograms are false positive (up to 40%). Therefore, automation and intellectualization of this process is an urgent task.Methods. The presented studies examine the problems of finding new, highly sensitive, prompt and non-invasive methods for detecting malignant tumors, based on the use of modern computer and telecommunication technologies, which make it possible not only to identify early manifestations of a pathological focus, but also to monitor the process of the effectiveness of therapy without significant harm to the patient’s health.Results. The presented model of a multi-channel classifier integrates the capabilities of multi-frequency bioimpedance measurements and matrix acquisition of information from the surface of human skin through multi-electrode matrix systems. To do this, based on a matrix of electrodes, 3D mapping of the skin surface in problem areas is carried out. Through multi-frequency scanning, we obtain a three-dimensional bioimpedance image, which is analyzed by a convolutional neural network and/or by a decision maker. The proposed solution allows simultaneous analysis of data by an expert (bioimpedance image) and a convolutional neural network (trained classifier), which leads to a reduction in false positive results.Conclusion. The possibilities of multichannel monitoring open up prospects for constructing impedance multidimensional "portraits" of malignant tumors. To classify “portraits” (diagnostics and preclinical diagnostics), methods and algorithms for image recognition and classification are used.
Development of a simulation model and adjustment of hyperparameters of a neural network for predicting possible states of a network of small space carriages
Authors: Shilenkov E. A. , Frolov S. N. , Titenko E. A.
Published: August 2024

The purpose of the research is to develop a simulation model and tune the hyperparameters of a neural network to predict possible states of a network of small spacecraft.The research methods are based on the concepts of the theory of artificial intelligence to control a group of small spacecraft (SSV) – the use of adaptive methods and tools to make decisions, similar to the mechanisms of human thinking. In relation to space communication systems with a heterogeneous structure, artificial intelligence methods and technologies are aimed at predicting the state of communication channels between network nodes and automatically reconfiguring a network of devices based on neural network learning processes. One of the most important functions of network software for the application of cognitive algorithms is to predict the quality of communication between pairs of SSVs.Results. A method has been developed for using the Transformer architecture neural network to predict possible states of the SSV network, which provides aggregation and time synchronization of data on the state of the SSV network, their use for training the neural network, as well as using the neural network to predict the quality of communication. The data format for the training sample has been created, based on the representation of the state of the SSV network, which ensures the generation of the initial state of the network, modeling the proactive mode of its operation, collecting SSV network state markers to generate training data sets in the form of chronological sequences grouped into frames, and allowing to reduce the amount of data transferred between SSVs when creating a training set. A simulation model of the SSV network has been developed, which provides generation of the initial state of the network, modeling of the proactive mode of its operation, and collection of information about the state of the SSV network to generate sets of synthetic training data.Conclusion. The article develops a simulation model of the SSV network for generating synthetic training data and predicting possible states of the SSV network, as well as a method for using a neural network to predict possible states of the SSV network.
Methods of countering attacks and organizing the choice of channel protection tools when controlling aviation robotic devices
Authors: Khmelevskaya A. V. , Babanin I. G. , Sevryukov A. E. , Nikolaenko A. I. , Babanina E. Yu. , Sevryukov A. A.
Published: August 2024

The purpose of the research is identification of organizational and technical methods of countering attacks on command and telemetry data transmission lines between aviation robotic devices and ground control points, as well as the formation of comprehensive information protection of the communication channels under consideration.Methods. The scientific article substantiates methods for mitigating and countering attacks at the physical level of the ISO/OSI open systems interaction model for organizing communication using the MAVLINK protocol for the purpose of controlling aviation robotic devices (noise-resistant coding with a high code rate (using the example of the most common code - Viterbi), extension method Frequency Hopping Spectrum (FHSS), Direct Sequence Spread Spectrum (DSSS), Multiple Input Multiple Output (MIMO) technology). A method for organizing the selection of protection and countermeasures when controlling aviation robotic devices is outlined, which consists of assessing the risks and consequences of the implementation of vulnerabilities in order to introduce countermeasures there and in such quantities that they have the greatest benefit.Results. The article discusses the main possibilities for intentional interference on the control and data transmission channels of consumer aviation robotic devices, an algorithm for assessing the risk of "leaving the route" is considered; a risk assessment option is provided in relation to the risk of an aircraft going off route, indicating the name of the attack, its likelihood, impact and resulting risk, as well as the acceptability of this risk and recommendations regarding the urgency of mitigating it; recommendations for countermeasures are presented in accordance with the acceptability of likelihood and impact; describes the relationship between risk and countermeasures used to reduce unauthorized exposure, in accordance with weighting coefficients.Conclusion. The scientific article discusses the main methods of countering attacks and unauthorized access when controlling autonomous robotic devices. The risk coefficients of attacks and countermeasures taken are considered.
The possibility of unifying neural interfaces to create an integrated control system for prostheses: a brief review
Authors: Samandari A. M. , Afonin A. N.
Published: August 2024

The purpose of research. To date, neurointerfaces have not been unified to create combined prosthetic control systems. Based on this, this review is aimed at understanding the possibility of integrating neurointerfaces by clarifying the advantages and disadvantages of neurotechnologies related to prosthetics and the possible creation of a combined prosthesis control system.

Methods. Analysis of brain-computer interfaces available in the literature in combination with neuroimaging experiments, especially in a hybrid system. A number of databases of scientific literature were used for the analysis, namely Google Scholar, scopus, etc. Links to the database data on the Internet: https://scholar.google.com/, https://www.mdpi.com/journal/sensors, elibrary.ru, https://www.refseek.com, https://link.springer.com/, https://www.base-search.net

Results. Brain-computer interfaces are currently being used in a wide variety of fields, including to improve the lives of people with disabilities. However, individual neural interfaces have certain disadvantages that make it difficult to use them to control mechanical devices, including prosthetic limbs. Hybrid neural interface systems (as an integrated software and hardware complex) are significantly superior to those obtained using separate neural interfaces, and these systems can be used for medical purposes.

Conclusion. This review provides a brief overview of the disability of people with missing upper limbs and how to improve their lives with prosthetics. The analysis of various hybrid methods of brain research is given. It can be noted that fNIRS technology is the closest technology that can facilitate the integration of neural interfaces, since it has advantages that make it a tool that complements other technologies, its advantages make up for the inherent disadvantages of fNIRS. It has been established that the hybrid system provides a clear advantage over individual neural interfaces.
Assessment of the severity of associated ischemia in conditions of atherosclerosis of the carotid arteries and arteries of the lower extremities
Authors: Bykov A. V. , Lischuk A. N. , Korenevskiy N. A. , Vinnikov A. V.
Published: August 2024

The purpose of the research is to develop a method for assessing the severity of ischemic processes in multifocal atherosclerosis against the background of chronic cerebrovascular insufficiency and chronic ischemia of the lower extremities.Methods. The main methods used in this study are the methodology for the synthesis of hybrid fuzzy decision rules, exploratory analysis, and the Delphi expert assessment method; calculations were based on the G. Rush model and the E. Shortliff iterative model.Results. In the course of the research, particular decisive rules were synthesized to assess violations of the regulatory functions of the brain, ischemic disorders of the brain and lower extremities, disorders of the motor functions of the lower extremities, on the basis of which, using the iterative model of E. Shortliff and aggregating decisive rules, intermediate decisive rules were formed, which, in turn, entered the final decisive the rule "severity of ischemic interaction". Further, based on the final decisive rule, an algorithm was developed to assess the severity of ischemic interactions for comorbid patients with disintegration of affective-effector mechanisms of interaction between peripheral organs and regulatory functions of the central nervous system, allowing to assess the severity of the ischemic process and the risk of fatal complications in patients with the pathology in question.Conclusion. In the course of the conducted research, high results were demonstrated in the application of synthesized partial decision rules within the framework of the task set in this study, and the expediency of using the obtained models and methods in the practice of a neurologist, vascular surgeon, angioedrologist, neurosurgeon was also shown.
Multimodal risk classifier for cardiorespiratory diseases taking into account concomitant diseases and synergy effect
Authors: Petrunina E. V. , Shatalova O. V. , Alawsi Hayder A.H. , Pesok V. V. , Kuzmin A. A. , Shulga L. V.
Published: August 2024

The purpose of the research is to develop a methodology for classifying complexly structured halftone images based on a multimodal approach using methods of morphological analysis, spectral analysis and neural network modeling.Methods. A method for classifying the contours of the boundaries of segments of a complexly structured image is described. The method is based on the fact that in chronic diseases of the pancreas, there is a violation of the integrity of the contour of its border and its waviness increases due to retractions and bulges caused by an alterative inflammatory process. The method includes the stages of normalization of ultrasound images and image segmentation with the selection of the contour of the object of interest. To classify the contour of a segment boundary, it is proposed to use Fourier analysis and neural network technologies. The method is illustrated using the example of classifying the contour of the border of the pancreas on its transcutaneous acoustic image.Results. Experimental studies of the proposed methods and means for classifying medical risk were carried out on diagnostic tasks according to the following classes: "chronic pancreatitis" – "without pathology". For experimental studies, video sequences of ultrasound images of the pancreas provided by an endoscopist were used. The purpose of the experimental studies was to analyze the classification quality indicators of image classifiers with class segments "Chronic pancreatitis" and "Without pathology". The training sample of video images (frames of video sequences) included 200 examples, one hundred from each class. The quality indicator "Sensitivity" of classification for two classes is 85,7%, the indicator "Specificity" is 87,1%.Conclusion. The use of the contour analysis method in classifiers of ultrasound images of the pancreas opens up new opportunities for accessible and objective diagnosis of pancreatic diseases, expanding the capabilities of intelligent clinical decision support systems.
Reflections on Transitional Society through Marginal Figures in the Films of China’s Sixth Generation Directors
Authors: Cui Haige
Published: August 2024

There is a controversial situation for Sixth Generation directors in China that their films are celebrated by international film festivals, but the majority of them are banned domestically. Their films deeply reflect and critique the transitional era of China, moving from socialist society with planned economy to postsocialist society with market economy. This article examines two representative films—Jia Zhangke’s Xiao Wu (1998) and Lou Ye’s Suzhou River (2000)—to analyse the shared characteristics of Sixth Generation directors. Despite differing in style, with Jia’s film perceived as documentary-like and Lou’s as melodramatic, both directors highlight societal flaws and class polarization. Through detailed analysis of the film contents and filming strategies, author argues that both directors critique current societal issues, show sympathy for the marginal and express nostalgia for traditional moral standards, which make their work contentious to Chinese authority.
Colonialidad epistémica y desafíos geoespaciales: una crítica al uso de los Sistemas de Información Geográfica (SIG)
Authors: Macías Serrat Lucía
Published: August 2024

En la investigación geográfica contemporánea los Sistemas de Información Geográfica (SIG) desempeñan un papel esencial al posibilitar la representación y el análisis de información espacial. A pesar de su utilidad, su cuantiosa aplicación ha generado inquietudes, particularmente en relación con la sobre simplificación de la realidad objetiva. Este artículo se centra críticamente en cuestionar y analizar críticamente las limitaciones y los riesgos derivados de la sobre dependencia en los SIG en la investigación geográfica actual. Se subraya la importancia de examinar la influencia de la colonialidad, destacando aspectos como la uniformización metodológica y la restricción en la diversidad de enfoques, como elementos que podrían limitar la comprensión integral de los procesos geográficos y la capacidad para abordar la multidimensionalidad de los fenómenos socioespaciales. Se abordan las implicaciones de la sobrevaloración de los SIG, que en esta estructura de dominación distorsiona la generación de conocimiento al favorecer intereses hegemónicos. Esta distorsión se refleja en la preferencia por metodologías cuantitativas y en la tendencia a subestimar y desplazar del análisis cualitativo y de campo, fundamentales para comprender la complejidad de las problemáticas sociales. Para la discusión teórica-metodológica de la colonialidad epistemológica que se establece con los SIG en las representaciones cartográficas, se analizan los casos del atlas de riesgos Campeche y Acapulco, Guerrero. El análisis del atlas de Acapulco incluye una comparación antes y después del impacto del huracán Otis. Finalmente, esta crítica invita a reflexionar sobre la necesidad de equilibrar el uso de los SIG e incorporar enfoques más amplios y diversos, integrando tanto el análisis cuantitativo como el cualitativo para enriquecer y fortalecer el carácter holístico del análisis geográfico contemporáneo, especialmente en el contexto de riesgo y desastres.
PaaS Solutions for Scalable Social Media Engagement and Brand Loyalty Programs
Authors: Seth Dhruv Kumar , Jayabalan Deepak , Ratra Karan Kumar
Published: August 2024

Abstract: This research paper is a systematic analysis of how PaaS solutions can revolutionize the approach to increasing social network presence and improving brand reward programs. Based on the literature survey, comparison with current practices, and case study investigations, we study how, benefiting from PaaS, organizations deliver enhanced, efficient, and customer-centric experiences. This paper explores the attributes of PaaS that Microsoft especially targets for such applications the ability to perform real time analysis, omnichannel support and superior personalization. Based on the analysis of successful stories in different industries, we illustrate how, with the help of PaaS, Starbucks, Nike and Sephora were able to significantly enhance the specifics of customer interactions. It also focuses on the implementation issues that can be tackled. Some of the problems that may conflict with the research are data privacy, the complexity of integration, and sometimes, the use of the system by the targeted users. In addition, we analyze such innovative tendencies and tools as artificial intelligence, blockchain, augmented reality, and other future aspects concerning the development of PaaS-based loyalty and engagement solutions. The results reveal that PaaS provides definite top-line and bottom-line benefits for scalability, cost, and flexibility; it provides enterprises of all sizes with complex engagement solutions that were earlier only available to large enterprises. The study benefits both the academic and business worlds by offering theoretical and practical insights into the adoption of PaaS within businesses that desire to improve their app-based presence and connections with clients. The article ends with implementation suggestions and propositions for further research, focusing on the developments and trends related to cloud solutions concerning the future of customer engagement and their loyalty schemes..
Controlling of Solar Based Electric Vehicle Charging Station Through Intelligence Controller for G2V and V2G Modes
Authors: Balavidyasri Banoth , Subrahmanyam Dr. JBV.
Published: August 2024

Abstract: Solar based electric vehicle (EV) charging station was proposed in this paper. The maximum power of a PV module varies due to changing temperature, solar radiation, and load. In order to extract the Maximum power point in this work, an MPPT system consisting of a PV module, a DC-DC converter, and a fuzzy logic controller is designed and simulated in Simulink. The EV battery SOC characteristic is observed to be fully charged within short period. In this paper single Phase grid and the PV system with the Fuzzy controller MPPT is connected to the DC link, which is connected to the EV. Also in the absence of solar PV energy, electric vehicle is charged from the grid. A battery of rating 100AH is charged with the solar PV panel using a boost converter which generates output voltage of 400V. Then the voltage is stepped down for buck operation according to 220 V battery requirement. A Bidirectional AC-DC rectifier is connected to the Grid, and the DC-DC boost converter for the MPPT and the DC-DC bidirectional Converter is connected to the EV for the Charging and Discharging of the EV. During charging and discharging modes the battery voltage and current is presented. It is clear that the grid voltage and current are in phase during charging. During discharging they are said to be out of phase indicating the reverse power flow.
Biodiversity and Seasonal Occurrence of Insect Fauna Associated with Brassica Vegetables in Menoufia and Giza Governorates in Egypt
Authors:   Department of Economic Entomology and Pesticides, Faculty of Agriculture, Cairo University, Giza, Egypt, Elbadawy Ahmad  R. , Hamada Hanan M. ,   Department of Economic Entomology and Pesticides, Faculty of Agriculture, Cairo University, Giza, Egypt, Salama Ramadan A.K. ,   Department of Economic Entomology and Pesticides, Faculty of Agriculture, Cairo University, Giza, Egypt
Published: August 2024

Elbadawy, A.R., H.M. Hanan and R.A.K. Salama. 2024. Biodiversity and Seasonal Occurrence of Insect Fauna Associated with Brassica Vegetables in Menoufia and Giza Governorates in Egypt. Arab Journal of Plant Protection, 42(2): 162-167. https://doi.org/10.22268/AJPP-001223 The present study was conducted to explore the diversity of the insect fauna associated with five brassica vegetables at two locations (Menoufia and Giza) in Egypt. Insects were collected from the two sites, from November 2020 until January 2021. In total, 13 insect species belonging to 12 families and 6 orders were recorded from the two sites: 10 species of insect pests, 2 species of predators an d one parasitoid species. Seasonal occurrence of three caterpillars (small white cabbage butterfly, Artogeia rapae L., diamond-back moth, Plutella xylostella L. and semiloopers, Autographa gamma L./Trichoplusia ni H. taking into consideration three weather factors (maximum and minimum temperatures, and relative humidity) were also recorded. The results obtained showed that the small white cabbage butterfly Artogeia rapae L. and diamond-back moth Plutella xylostella L. preferred cauliflower and cabbage as host plants, whereas semiloopers did not show any preference between cabbage, cauliflower and radish, and they were not recorded on turnip and rocket. Keywords: Population density, Brassicaceae, caterpillars, natural enemies, agroecosystem.
Identification of Some Species of the Family Coccidae that Infest Fruit Orchards in Syria
Authors:   , Biological Control Studies and Research Center and Department of Plant Protection, Faculty of Agriculture, Damascus University. Syria., Saleh Alaa Turki , Basheer Abdel Nabi ,   , Biological Control Studies and Research Center and Department of Plant Protection, Faculty of Agriculture, Damascus University. Syria.
Published: August 2024

Saleh, A.T. and A.M. Basheer. 2024. Identification of Some Species of the Family Coccidae that Infest Fruit Orchards in Syria. Arab Journal of Plant Protection, 42(2): 174-183. https://doi.org/10.22268/AJPP-001224 Soft scale insects are serious plant pests, are often small and highly cryptic. These pests are economically important in agriculture. Insect samples and infested plant parts were collected during the period April to June 2016 and 2017 from three locations (Al-Sanobar, Daba, and Jaba) and then brought to the Biological Control Studies and Research Center (BCSRC). The following soft scale insects of the order Coccomorpha and family Coccidae were identified: Coccus pseudomagnoliarum Kuwana, in Al-Sanobar and Dabba in Lattakia governorate in Java orange orchards, Saissetia oleae Olivier and C. pseudomagnoliarum Kuwana in Pomelo citrus tree in Daba locality, Sphaerolecanium prunastri Fonscolombe at the third site Jaba, Quneitra governorate, in almond orchards, and to our knowledge is the first record in Syria. Identification and characterization of the soft scale insects was based on microscopic characters of adult female using slide-mounted specimens. Identification of pests is essential for the implementation of biological control programs. Keywords: Coccidae, soft scale insects, Syria
Gamificación: Estrategia preventiva de ciberseguridad para sexting y grooming
Authors: Vargas Montoya Héctor Fernando , Usma Guzmán Félix Alexander
Published: August 2024

Las redes sociales se van expandiendo, captando más suscriptores, y con ello, los menores de edad consumen estos servicios con muy poco control que les permiten una interacción con individuos desconocidos en cualquier parte del mundo. Esto es aprovechado por los delincuentes cibernéticos que utilizan técnicas como el sexting y el grooming. Este artículo tiene como objetivo proponer una estrategia de ciberseguridad basada en gamificación que apoye a la población adolescente, con base en un punto de prevención asociado al sexting y grooming para reducir diferentes niveles de riesgos. Para ello, el método utilizado fue el uso de procesos para la identificación de problemas de ciberseguridad en Internet, a través de diferentes controles y aplicándolos en una estrategia educativa de ciberseguridad a estudiantes de una institución de educación primaria en la ciudad de Medellín, Colombia. En la prueba diagnóstica se encontró que solo el 31.2% de los estudiantes respondieron positivamente el cuestionario y, una vez aplicada la estrategia de ciberseguridad, se realizó el cálculo estadístico de la prueba de los signos como una prueba no paramétrica, y fue evidente que la estrategia de ciberseguridad que usa gamificación logró aumentar el nivel de conciencia, con el resultado de que el 93.7% de los estudiantes mejoró notablemente sus respuestas. Se concluye que la estrategia de prevención de riesgos en Internet en contra de los adolescentes es fundamental con la aplicación de mecanismos alternos que generen controles como la toma de conciencia y la gamificación.
Análisis de la calidad del sueño en estudiantes de la Escuela de Cadetes General Francisco de Paula Santander (ECSAN)
Authors: Cervantes Estrada Luis Carlos
Published: August 2024

La calidad del sueño afecta positiva o negativamente en factores relacionados con las habilidades cognitivas, el rendimiento académico, el bienestar emocional del ser humano, entre otros. Por esta razón, el objetivo de esta investigación fue describir la calidad del sueño de los estudiantes de la ECSAN entre el año 2022 y 2023. Para su ejecución se realizó una metodología con enfoque cuantitativo–no experimental, de tipo descriptivo, en el cual se aplicaron dos instrumentos de medición, el primero de ellos, fue la escala de Índice de calidad de sueño de Pittsburgh (PSQI) compuesto por 19 preguntas, y el segundo, denominado Cuestionario de percepción del sueño, el cual contó con 17 preguntas, se obtuvo una participación de 620 estudiantes los cuales representan el 90% de la población de la ECSAN. El análisis de datos se realizó a través del software estadístico IBM Statistics SPSS v.22 el cual encontró que los estudiantes de la compañía SUCRE presentan una mejor calidad del sueño en comparación con las demás compañías, adicionalmente, se encontró que una mala calidad en el descanso afecta el rendimiento académico, las condiciones emocionales y las relaciones personales de los estudiantes. Finalmente, se generan algunas recomendaciones que se pueden implementar en la ECSAN con el propósito de mejorar la calidad de sueño en los estudiantes.
El papel de los Datos Abiertos Vinculados LOD: Una mirada desde las fuentes de datos Inteligentes OSINT
Authors: Varón-Capera Álvaro , Gaona-García Paulo Alonso , Montenegro-Marín Carlos Enrique
Published: August 2024

Cada día se generan millones de fuentes de datos abiertos disponibles en la web, que mediante diversos procesos pueden ser viables como fuentes de datos inteligentes para la toma de decisiones y actividades relacionadas con su consumo. En el presente artículo se plantea un estudio basado en una metodología estadística descriptiva, para realizar un análisis del crecimiento de datos abiertos enlazados, siguiendo los principios de “vinculación de datos abiertos” (LOD) y su potencial enmarcado dentro de las “fuentes de datos inteligentes” (OSINT). El estudio pretende analizar las estructuras que posibiliten determinar una serie de lineamientos y permitan verificar la validez y vinculación de fuentes inteligentes (OSINT) mediante principios basados en LOD. Finalmente, se presentan algunas recomendaciones y acciones que permitan determinar a los actores principales de las distintas fuentes de datos para agregar cadencia al proceso de liberación de recursos LOD. Palabras clave: datos abiertos vinculados, web semántica, RDF, datos abiertos inteligentes, OSINT.
Modalidades de transporte y detección de drogas ilícitas en puertos europeos: revisión sistemática de literatura
Authors: Atencio Ortiz Linda Sofia , Paipa Sanabria Edwin Giovanny , Bacca Rodríguez Victor Gregorio , Suárez Nieves Javier Andrés , Castro de la Rosa Yesten David
Published: August 2024

El narcotráfico marítimo plantea una grave amenaza a la seguridad y estabilidad de los países europeos, con organizaciones criminales que emplean estrategias diversas, desde esconder drogas en contenedores legales hasta usar embarcaciones pequeñas para el contrabando. En respuesta, las autoridades europeas han intensificado la cooperación internacional y mejorado la seguridad en los puertos. Este artículo presenta los hallazgos de una revisión sobre el transporte de drogas en puertos europeos; se identifican los más afectados y se analizan las estrategias tecnológicas empleadas. Se investigan áreas como el rip on/rip off, cambio de contenedor y transporte en embarcaciones, así como tecnologías como el escaneo de drogas con rayos X y drones de seguridad marítima. Se examinan 50 estudios seleccionados de bases de datos como Scopus y Web of Science, además de fuentes especializadas en el tema. Se concluye con un análisis de las perspectivas actuales y futuras en la lucha contra el narcotráfico marítimo en Europa. Palabras clave: Tráfico de estupefacientes, crimen, estupefaciente, lucha contra la toxicomanía.
La política migratoria de la Unión Europea en el Mediterráneo Central, de la securitización a la promoción del desarrollo sustentable
Authors: Fonseza Zárate Carlos Hildebrando , Niño Cubillos Javier Ignacio
Published: August 2024

El objetivo de este artículo es analizar la política de la Unión Europea (UE) ante la migración forzada y el tráfico de personas proveniente de África a través del Mediterráneo central, que es el cruce migratorio más mortal del mundo. Este análisis evalúa los resultados que se derivan de aplicar dos políticas, la primera, basada en la seguridad fronteriza, y la segunda, a partir de la implementación del Índice de Desarrollo Territorial Sustentable, IDTS, como soporte de la gobernanza migratoria entre la U.E y los Estados africanos. Reconociendo que este flujo migratorio es consecuencia de diferenciales económicos entre los países de origen y destino, crisis humanitarias, estados fallidos o devastaciones ambientales. La metodología de investigación aplicada es descriptiva y exploratoria. El marco teórico parte de la teoría Realista que privilegia la acción soberana del Estado y de la teoría de Sistemas Mundiales para explicar que la UE ha optado por la securitización, al lograr disminuir la migración irregular, pero sin contrarrestar las causas de este flujo migratorio. Por lo que se plantea una solución que vaya al origen del problema, al promover que la UE con los países de origen migratorio trabajen en pro del desarrollo sustentable, el comercio justo y la transferencia tecnológica a partir del IDTS.
BABYFYING MUSEUM TEXTS FOR YOUNGER VISITORS THROUGH AUGMENTED REALITY
Authors: Suryaputera Achmad Nabil , Pradani Eka Septi , Handayani Suci Mia , Latief Ahmad Danial , Ferdiansyah Adi , Nabiha Nisrina , Sanjaya SF Lukfianka
Published: August 2024

Museums have long been recognized as a place to study historical objects. However, at the same time, museums are considered unfamiliar to younger visitors due to the complexity of the descriptions of their artifacts. In order to overcome this problem, this research attempted to simplify the museum texts through an application named babyfication. The process of simplification involves three main components: conceptual simplification, modification for simplicity, and summarization of text. For enhancing the comprehension of the museum texts, augmented reality (AR) technology features are utilized in the process. Through a combination of simplified language, vibrant visuals, and interactive elements, this research tried to prove the beneficial outcomes from AR technology in bridging the gap between traditional museum texts and the developmental needs of young children, particularly dealing with their engagement with cultural artifacts. A qualitative research approach and Spradley’s data analysis technique were employed to figure out how the descriptive texts of museum artifacts are babyfied. Applying the theory of babyfication from Purnomo et al. (2021) as a ludic adaptation concept, it was revealed that textual, visual, and operative elements, that have been babyfied by using AR technology as a medium, tend to be textually simpler, more visually appealing, and make it easier for children to understand the information.
Mathematical model for the capacity of the mud flow with wave regime taking into account its rheological properties
Authors: Gavardashvili Givi , Kukhalashvili Eduard , Kurtsikidze Nana , Dadiani Keti
Published: August 2024

The paper presents particular issues of mudflow dynamics, one of the hazardous natural disasters, namely the theoretical study of the flow power during mudflow movement in the wave regime taking into account its rheological properties. The paper discusses the physical process of mudflow mass impetus accumulated in erosion banks, taking into account the impact of the tense state of the eroded mass, in particular, similar to soil mechanics problems, the density of the mudflow-forming mass (ρ), the free fall acceleration (g), angle of internal friction (φ), the adhesive force (Pe), the height equivalent to pressure (h′), the height of the mudflow-forming mass (H), the intensity of transverse pressure (P), and the value of the active pressure of the inertial mass cohesion (C) on the deformation mode of the mudflow mass. On the basis of the basic equations of mudflow dynamics and theoretical studies, an equation is obtained to calculate the values of flow power when mudflows move in the wave mode, taking into account the main rheological properties of a mudflow mass.
Análise da Produção Científica Nacional sobre Saúde, Meio Ambiente e Enfermagem
Authors: Bittencourt Luana Cristina Richelly Pereira , Carbo Leandro
Published: August 2024

A responsabilidade ecológica é uma problemática que envolve vários setores da sociedade, porém possui uma aproximação muito tímida entre saúde e meio ambiente, sendo que com a saúde possui ainda menos discussões sobre essa interface. Por meio de uma pesquisa bibliográfica de abordagem qualitativa, esse artigo objetiva analisar a produção científica nacional sobre Saúde, Meio Ambiente e Enfermagem para demostrar o que ela traz sobre a temática abordada. Para a coleta de dados, foram utilizados artigos, teses e dissertações publicados nas respectivas plataformas: Scientific Electronic Library Online (SciELO) e Biblioteca Digital Brasileira de Teses e Dissertações (BDTD), entre 2010 e outubro de 2023. De acordo com os textos analisados, observou-se, de forma geral, que os profissionais da enfermagem não conseguem relacionar de maneira adequada saúde e meio ambiente, ficando restritos à realização de atividades simplistas e rotineiras no âmbito de trabalho.
Chain conditions on non-parallel submodules
Authors: Shirali Nasrin , Maschizadeh Mohammad , Javdannezhad Sayed Malek
Published: August 2024

In this paper, we investigate modules with ascending and descending chain conditions on non-parallel submodules. We call these modules np-Noetherian and np-Artinian respectively, and give structure theorems for them. It is proved that any np-Artinian module is either atomic or finitely embedded. Also, we give a sufficient condition for np-Noetherian (resp., np-Artinian) modules to be Noetherian (resp., Artinian).
We study ascending (resp., descending) chain condition up to isomorphism on non-parallel submodules as npi-Noetherian (resp., npi-Artinian) modules and characterize these modules. It is shown that any npi-Noetherian module has finite type dimension. Next, we investigate some properties of semiprime right np-Artinian (resp., npi-Artinian) rings.
In particular, it is proved that if $ R $ semiprime ring such that $ J(R) $ is not atomic, then $ R $ is right np-Artinian if and only if it is semisimple.
Further, it is shown that if $ R $ is a semiprime right npi-Artinian ring, then either $ Z(R) $ is atomic or $ R $ is right non-singular. Finally, we investigate when np-Artinian (resp., np-Noetherian) rings and ne-Artinian (resp., ne-Noetherian) rings coincide.
Evaluation of Dissolution Release Profiles of Nicotine and Three Distinct Flavor Markers in Loose Moist Smokeless Tobacco Products
Authors: Aldeek Fadi , Miller John H. , Danielson Tim
Published: August 2024

This study describes the dissolution release profiles of nicotine and flavor markers from three loose moist smoke-less tobacco (MST) products, same brand, each made with a distinct flavor. The US Pharmacopeia flow-through cell dissolution apparatus 4 (USP-4) was employed, following a previously published method that was validated to study the nicotine release from MST products. Herein, we expanded the scope of the analytical method by incorporating three flavor markers including methyl salicylate, ethyl salicylate, and glycyrrhizic acid to provide an understanding of the dissolution release profiles of not only nicotine but also of flavor markers. The dissolution release profiles of nicotine were found to be equivalent across all three tobacco products. In contrast, the release profiles of the studied flavor markers exhibited distinct differences, primarily influenced by their chemical properties, particularly polarity. Notably, glycyrrhizic acid demonstrated the most rapid release rate, while ethyl salicylate exhibited the slowest release rate. This study serves as a valuable resource for researchers, manufacturers, and regulatory bodies involved in the evaluation of MST products attributes and performance.