bluuebunny/crossref_metadata_2025 huggingface dataset:
Organic oat production (Avena sativa L.) in the conditions of Northeastern Bulgaria
Authors: Vasilev D.
Published: January 2023

Abstract. The study took place in the period 2018 - 2020 in the village of Milanovo, Shumen region. In the period March 23 - 30, in accordance with the climatic factors of each year, the spring oat variety Scorpion was sown at a sowing rate of 3000 - 4000 germinating seeds per ha. Oats were sown after a predecessor crop of nettle. The aim of the present study is to prove that the oat variety Scorpio is suitable for organic production and it gives a quality product for direct consumption. The cultivation method and the finished product processing are also described in the study. The soil is gray-brown forest soil (Luvisols, Lessive - FAO UNESCO). Oats were grown following the requirements for field crop organic cultivation. In the period of vegetation, the crop was watered twice at a rate of 0.4 - 0.6 mᶾ /ha. The crop was harvested for green mass, at the maturity stage, as mowing was done in late June in two stages with a herb mower. The harvested area was 1.23 ha, and the green mass yield obtained was 10 t, on average for the period. The green mass followed a drying process in the sun, as a result of which 2470 kg of dry oat stalks were obtained. After that, we could prepare bundles measuring the length of 20 - 25 cm, packed in nylon and also aligned at the rear end. Each bundle weight varied from 100 to 300 g. After the dedusting process of bundles we were able to obtain a product for direct consumption showing fiber length of 0.4 - 3 mm. The sown area was identified as having the following groups of weeds: winter-spring (Chamomilla recutita Rauchert, Consolida regalis SPGray, Centaurea cyanus L. and Papaver rhoeas L.), early spring (Sinapis arvensis L., Bifora radians MB, Polygonum convolvulus L., Galium tricorne With, Avena fatua L.), ephemeral (Veronica hederifolia L., Stellaria media (L.), Holosteum umbelatum toothed swan) and root-shoot (Cirsium arvense Scop., Convolvulus arvense L. Cardaria draba L.). We could not detect any fungal disease attacks by: Puccinia coronata, Ustilago avenae, Ustilago hordei, Fusarium sp. Powdery mildew (Erysiphe graminis De Candole f. Sp. Avenae) and striped leaf spots (Pyrenospora avenae) had a weak effect on the crop (up to 25%). The study period showed the average content in the crop as follows: protein - 10.56%, starch - 43.62%, ash - 4.24%, and fiber - 13.47%.
Evaluation of bacterial contamination of laying hen eggshells by using a classic and fast method: first report in Algeria
Authors: Mebkhout F. , Khelifi Touhami N.A. , Ouchene N. , Dahmane T. , Hamdi T.M. , Kessi O.
Published: January 2023

Abstract. Chicken eggs are considered an important source of high-quality protein for humans. Many types of germs can contaminate eggshells, some of which are pathogenic. This survey aims to study the bacterial contamination of eggshells from ISA Brown laying hens of 56 weeks old. The study concerned a total of 100 eggs randomly collected. Two methods were used for investigation and enumeration of bacteria: a classical method and a rapid method Rida®Count. The classical method concerned: total bacteria, total and fecal coliforms, fecal streptococci, Staphylococcus aureus and Salmonella spp.. The rapid method RIDA®COUNT concerned: Total bacteria count, total coliforms, Staphylococcus aureus and Salmonella spp. In both methods, all eggshells were found to be contaminated with aerobic mesophilic bacteria. The average number revealed by the rapid method was 2.95 ± 1.06 Log CFU/cm² and by the classical method it was 2.85 ± 0.99 Log CFU/cm². The rapid method revealed a higher number of eggshells infected with total coliforms (90%) and Staphylococcus aureus (43%) compared to the classical method (56% and 19%, respectively). The average number of total coliforms (2.47 ± 0.95 Log CFU/cm²) and Staphylococcus aureus (1.67 ± 0.86 Log CFU/cm²) revealed by the classical method was close to the rapid method (2.35 ± 1.01 Log CFU/cm² and 1.43 ± 0.83 Log CFU/cm², respectively). Bacterial counts were not significantly different between the two diagnostic methods. The total absence of Salmonella spp. was confirmed. However, the presence of two eggs infected by Raoultella planticola (2%), and two eggs by Escherichia coli (2%) were found. This investigation provided the first partial description in Algeria of the bacterial contamination of laying hen eggshells using two methods: classic and rapid. The good hygiene and management can avoid contamination with dangerous bacteria represented mainly by Salmonella spp.. However, it is necessary to study the bacterial contamination inside the egg and to extend the research to other bacteria
First record of the threatened Giant Anteater, Myrmecophaga tridactyla Linnaeus, 1758 (Xenarthra, Myrmecophagidae), at the Reserva Particular do Patrimônio Natural Poço Fundo in Minas Gerais state, Brazil
Authors: Soares Paola Cardias , Mendes Lara Modesto , Sarcinelli Rodolfo da Cunha , Barbosa Kleiber José Vaz de Melo , Melo Fabiano Rodrigues de
Published: January 2023

Myrmecophaga tridactyla Linnaeus, 1758, Giant Anteater, is a very sensitive species in the Quadrilátero Ferrífero, a region of the Brazilian state of Minas Gerais responsible for a large part of the country’s iron ore production. Information on the occurrence of this species in the area is limited to literature reviews, data papers, and interviews. Here, we present the first record of M. tridactyla from the Reserva Particular do Patrimônio Natural Poço Fundo (a natural heritage private reserve) and what is likely to be only the fifth record from the Quadrilátero Ferrífero region. We highlight the importance of larger, connected areas for the long-term survival of this threat-ened species.
Rehabilitación estructural de conjuntos históricos
Authors: Maya-Miranda Enrique
Published: January 2023

La actual política de recuperación de nuestros viejos Centros Históricos a partir de su Rehabilitación Integrada permite un cambio de escala de las intervenciones, desde la propia del edificio a la del conjunto en que se actúa. Cada construcción deja de entenderse como elemento individual y se constituye en parte de un todo que sólo tiene sentido si se considera como tal unidad. Por ello, deben entenderse estos conjuntos edificados como realidad construida, en la que se programen las intervenciones, se optimicen los medios disponibles, se eviten actuaciones parciales y poco meditadas. En este sentido, resulta de interés, que en cada Centro Histórico se definan sus propias líneas de intervención, profundizando en el conocimiento de sus tipologías edificatorias y de sus sistemas constructivos, fomentando a su vez la recuperación de las técnicas y sistemas precisas para ello.

En el presente artículo se pretende aportar una aproximación al entendimiento estructural del edificio considerado como pieza de la estructura urbana en que se implanta, a partir del conocimiento del parcelario y de la tipología edificatoria.
Kobieta posłuszna Duchowi Świętemu – św. Aniela Merici
Authors: Klich Anna
Published: January 2023

Duch Święty prowadzący św. Anielę Merici od wczesnej młodości uczynił z niej kobietę piękną wewnętrznie i odsłaniającą Bożą mądrość oraz miłość. Trudne doświadczenia - żałoby i rozłąki z bliskimi - przeżyte z wiarą kształtowały w niej osobę wrażliwą na Bożą obecność w niej samej, w spotykanych osobach oraz w wydarzeniach codziennych. Rozmiłowana w słowie Bożym, w modlitwie i życiu oddanym Bogu otwierała się na dary i charyzmaty Ducha Świętego dawane jej dla dobra Kościoła, a szczególnie dla powstającej wokół niej wspólnoty. Stała się proroczym znakiem – Oblubienicy Syna Bożego – dla całego Kościoła – Oblubienicy.
The ecumenical aspect of the justification of the sinner
Authors: Medwid Wojciech
Published: January 2023

The aim of this article is to discuss the ecumenical aspect of justification. Martin Luther was of the opinion that the road to justification was only through faith and grace, expressed by the principle simul iustus et peccator. The Council of Trent emphasized that justification is not only the remission of sins but is also sanctification. Catholic-Lutheran ecumenical dialogue formally began after the Second Vatican Council, which resulted in a consensus regarding the basic truths of the doctrine of justification and likewise looked at the person of Martin Luther, his demands, and the reformation.
3D-моделювання персонажів з анімацією для ігрових проектів. Частина 2
Authors: Вилков В. С. , Болтач С. В. , Ломовцев П. Б.
Published: January 2023

Технології 3d графіки проникли в багато сфер людської діяльності, і приносять колосальний прибуток. Так у сфері науки 3D-графіка використовується в основному для проектування технічних виробів. Сучасні технології дозволяють створити візуалізацію проектованого об'єкта, максимально наближеного до реального пристрою, оцінити його наочно. Тривимірна модель майбутнього механізму прискорює і полегшує роботу інженера-конструктора, позбавляючи його від процесу креслення. Графіка у сфері реклами та маркетингу використовується майже завжди. Все частіше маркетологи використовують 3D-візуалізацію об'єктів, створюючи анімаційні рекламні ролики. Зйомки в реальних умовах не дають такої привабливої картинки, як із застосуванням анімації. 3D-зображення інтер'єру або будівлі з використанням комп'ютерних програм зацікавилися порівняно недавно, так як раніше для цього виготовляли макети з картону або спеціальних матеріалів. Сьогодні 3D-візуалізація будинку - важливий етап перед початком будівельних робіт. Дана технологія дозволяє подивитися на готовий об'єкт і внести зміни при необхідності. Звичайно у кінематографі і ігровій індустрії 3D-графіка прижилася і вкоренилася назавжди. Сучасній людині важко уявити улюблену гру без тривимірних персонажів, а черговий фільм - без 3D-графіки.
Revisão bibliográfica sobre a atuação do psicólogo escolar/educacional nos Institutos Federais
Authors: Dryzun André , Passone Eric Ferdinando Kanai
Published: January 2023

Trata-se de uma revisão da literatura acerca da atuação do Psicólogo Escolar e Educacional no Instituto Federal de Educação, Ciência e Tecnologia (IFET). A coleta de dados foi feita através biblioteca eletrônica Scielo, Periódicos da Capes, Google, Google Acadêmico e pela Biblioteca Digital Brasileira de Teses e Dissertações (BDTD). Foram selecionadas 22 produções dentre artigos, capítulos de livro, dissertações e teses. Foi observado que existem poucas produções a respeito da atuação do Psicólogo nos IFET, ainda que tenha sido constatado um crescimento recente na última década. As produções referiram práticas em Psicologia Escolar e Educacional, discussões sobre demandas, desafios e identidade do psicólogo escolar e educacional. Observou-se que essa área de atuação ainda necessita de uma ressignificação que considerem os determinantes institucionais na compreensão das demandas com que se deparam esses profissionais, além de delimitar e desenvolver o fazer do psicólogo nesse contexto, tendo como norte a superação da formação exclusivamente mercadológica.
MORTALIDAD EN EDADES REPRODUCTIVAS. ARGENTINA, 2005-2020
Authors: Cabrera Eleonora Rojas
Published: January 2023

Resulta significativo el cuidado de la salud de las personas en edades reproductivas, pues mantienen la capacidad productiva de las poblaciones y sostienen financieramente sus sistemas de seguridad social. El objetivo fue indagar respecto a este cuidado en Argentina en el período 2005-2020 mediante el análisis de las tendencias de la mortalidad. Interesó especialmente estimar la participación relativa de las muertes evitables en total de muertes contabilizadas anualmente, su composición según causas específicas y su dinámica según sexo. Se trabajó con una metodología cuantitativa y descriptiva basada en el cálculo de tasas específicas de mortalidad para la población de 15 a 44 años, y el análisis de regresión joinpoint para evaluar su tendencia temporal, con base en información oficial. Los resultados mostraron un predominio de causas evitables en el total de muertes relevadas, pero mayormente en hombres (principalmente, evitables por prevención). Entre estos últimos, la tasa de mortalidad evitable descendió significativamente y en las mujeres no varió. Asimismo, se observaron reducciones significativas de las tasas de mortalidad por enfermedades infecciosas y parasitarias, enfermedades del sistema circulatorio y accidentes. Como contrapartida, se incrementaron significativamente las tasas de mortalidad por enfermedades respiratorias, tumores (en mujeres) y eventos de intención no determinada.
OPTIMIZATION OF THE DESIGN PARAMETERS USING THE TAGUCHI METHOD IN INCLINED IMPINGEMENT MULTIJET HEAT TRANSFER WITH RECTANGULAR FINNED HEAT SINK
Authors: Karabey Altuğ , Arvasi Seyitnur
Published: January 2023

Thanks to the rapid advancement in technology, especially for the systems having high temperatures and high heat fluxes, the interest in studies on impingement jets to improve the cooling efficiency increased in recent years. The current study focuses on determining the optimization of the inclined multijet array to reduce the temperature of electronic devices. In this study, the cooling was performed on the inclined surfaces by making use of impingement multijets via heat sinks consisting of rectangular fins modeled in different geometries and optimum cooling conditions were achieved. In achieving the optimum cooling conditions, the Taguchi method was used since it was thought to offer a reduction in time and costs in industrial applications. In this study, 11 different parameters were examined at three different levels in order to determine the optimum conditions for impingement multijet applications. The Nusselt number was set as the performance characteristic and the L27(311) orthogonal sequence was used as the experiment plan for 11 parameters that were determined. When calculating the Nusselt number by using nozzle diameter, the optimum results were achieved using the following parameters: 40 mm of nozzle diameter, 9 m/s of air velocity, 20 mm of vertical distance between slices, 4444 W/m2 of heat flux, 20 mm of vertical distance between fins, 15 mm of fin width, 30° of fin angle, 15 mm of horizontal distance between slices, 10° of heat sink angle, 20 mm of horizontal distance between fins, and 8 of nozzle diameter/heat sink dimensionless distance ratio. The flat plate and optimum heat sink established using the data obtained were compared under the optimum conditions obtained from the analysis and to the optimum conditions obtained using the finned optimum heat sink and it was determined that, under the optimum conditions, the finned heat sink improved the heat transfer by 28.61% when compared to the flat plate.
The Information Value of Past Losses in Operational Risk
Authors: Migueis Marco , Curti Filippo
Published: January 2023

Operational risk is a substantial source of risk for US banks. Improving the performance of operational risk models allows banks’ management to make more informed risk decisions by better matching economic capital and risk appetite, and allows regulators to enhance their understanding of banks’ operational risk. We show that past operational losses are informative of future losses, even after controlling for a wide range of financial characteristics. We propose that the information provided by past losses results from them capturing hard to quantify factors such as the quality of operational risk controls, the risk culture, and the risk appetite of the bank.
Patriarcado y amor. La teoría política de Anna G. Jónasdóttir
Authors: Grajales Usuga Martha Elena
Published: January 2023

La tesis de la politóloga islandesa Anna Jónasdóttir sobre el patriarcado es que en la actualidad este se fundamenta en la explotación del amor de las mujeres por parte de sus compañeros sentimentales. El propósito de este artículo es evaluar esta influyente teoría feminista y sus alcances para explicar la persistencia del patriarcado en América Latina. El análisis sigue tres pasos: primero, se exponen las tesis centrales de la autora sobre el patriarcado y su vínculo con el amor; segundo, se señalan las limitaciones de la propuesta para comprender el patriarcado en Latinoamérica, donde las mujeres son marginalizadas a causa del amor, pero también debido a la desigualdad social, la violencia y las prácticas coloniales; finalmente, se destacan los aportes de la teoría para esclarecer males muy generalizados entre las mujeres latinoamericanas como la violencia de pareja y la misoginia en general. La principal conclusión es que, a pesar de ciertas limitaciones argumentativas y metodológicas, la teoría de Jónasdóttir contribuye a esclarecer algunos fenómenos de opresión sufridos por las mujeres de nuestra región.
El análisis sigue tres pasos: primero, se exponen las tesis centrales de la autora sobre el patriarcado y su vínculo con el amor. Segundo, se señalan las limitaciones de la propuesta para comprender el patriarcado en Latinoamérica, donde las mujeres son marginalizadas a causa del amor, pero también debido a la desigualdad social, la violencia y las prácticas coloniales. Finalmente, se destacan los aportes de la teoría para esclarecer males muy generalizados entre las  mujeres latinoamericanas como la violencia de pareja y la misoginia en general.
Medina Pérez, Gonzalo. (2022). Las voces de lo imposible. Los protagonistas silenciosos de la Operación Jaque. Bogotá, D. C.: Planeta.
Authors: Correa Soto Carlos Mario
Published: January 2023

Esta reseña destaca los aportes que hace el libro de Gonzalo Medina Pérez para esclarecer detalles, secretos, claves y protagonistas de la Operación Jaque no revelados en los diversos trabajos publicados con motivo de la acción militar que permitió el rescate de quince secuestrados en poder de las Fuerzas Armadas Revolucionarias de Colombia-Ejército del Pueblo (FARC-EP) el 2 de julio de 2008. Sobresale por su riqueza investigativa, documental y testimonial al recoger los relatos en primera persona de los partícipes de la acción militar, a la cual el investigador, con su autoridad de cronista reportero, da el contexto histórico que enriquece la narración, permitiéndole al lector conocer que el desenlace de la operación adquirió dimensión política e incidencia en los diálogos de paz.
Chinchilla, Fernando. (2021). El arte del triunfo. Extremismo, moderación y cambio político en América Latina y África Austral. Santiago: RIL.
Authors: Castaño Barrera Oscar Mauricio
Published: January 2023

El libro gira en torno al presupuesto de que en las guerras civiles no existen actores completamente monolíticos y que, por tanto, si se analiza la estructura de poder de estos es posible identificar líneas duras o extremistas, y líneas blandas o moderadas. La tesis del autor señala que la posibilidad de resolver pacíficamente un conflicto armado crece cuando los actores moderados priman sobre los extremistas. Entre los aportes centrales de la obra se encuentra el análisis de los cuatro casos abordados extensamente mediante trabajos de campo —Angola, El Salvador, Colombia y Mozambique—, para lo cual se diseñaron herramientas analíticas que permitieron sopesar, a modo de comparación, cuáles fueron las líneas que prevalecieron para el éxito o fracaso de diferentes procesos de paz.
La herramienta de gramática institucional. Una discusión sobre su aplicación en investigaciones de políticas públicas
Authors: Rojas Rivera Ángela Milena , Lopera González Mario Alfonso
Published: January 2023

La herramienta de gramática institucional (HGI) desarrollada por Crawford y Ostrom (1995; 2005) ha crecido en popularidad en el mundo anglosajón, en contraste con una mínima penetración en la academia hispanoparlante. Este artículo, por un lado, trae a contextos de habla hispana la discusión sobre la aplicación de la HGI; por otro lado, presenta una propuesta de implementación de la HGI que la articula con otras herramientas analíticas del marco de análisis y desarrollo institucional (ADI). De esta forma, se exponen las propuestas originales de Crawford y Ostrom (1995; 2005) para posteriormente ofrecer una discusión crítica de tres implementaciones influyentes en esta literatura e introducir una aplicación integrada de la HGI basada en un caso de formalización minera en Colombia. Se muestra que esta última subsana algunas de las falencias presentes en las tres implementaciones analizadas y resulta más enriquecedora para el análisis de las políticas públicas.
Gobernanza criminal de la minería del oro en la región del Bajo Cauca y en el municipio de Buriticá, Antioquia
Authors: Bonilla Calle Daniel
Published: January 2023

La gobernanza criminal en Colombia ha permeado casi todas las esferas de la sociedad, entendida como la imposición de normas o reglas sobre diferentes dimensiones sociales, económicas y políticas de una comunidad determinada por parte de una organización violenta no estatal. Este artículo tiene como objetivo comprender las formas de regulación y gobernanza que los diferentes grupos armados ilegales ejercen sobre los actores involucrados en la minería del oro del Bajo Cauca y Buriticá, Antioquia. Desde una perspectiva de la investigación cualitativa, se realizaron entrevistas semiestructuradas a más de setenta personas, revisión de literatura especializada, prensa, documentos judiciales, entre otros. Entre los hallazgos y aportes más importantes está la evidente cooptación de funciones institucionales en las que el Estado o sus agentes no han tenido la capacidad de cubrir satisfactoriamente, lo que ha generado una relación entre este y actores criminales en la producción de órdenes regionales, utilizando la coerción y la violencia en detrimento de las condiciones de vida de las comunidades, que de alguna manera legitiman dichas acciones debido a los réditos económicos que pueden alcanzarse.
Dockers in Poplar: The Legacy of the London County Council’s Replanning of Poplar, East London
Authors: West Rosamund Lily
Published: January 2023

Using Sydney Harpley’s sculpture, The Dockers, installed in Trinity Gardens on the Lansbury Estate in Poplar, this article will examine the London County Council’s reimagining of a key centre in London’s East End. Installed in September 1962, these Dockers sit within the post-war planned vision of the capital and are, as Frank Mort describes, “cultural visions” of a new London. For hundreds of years, Poplar served as part of the Port of London’s industrial heartland. After the Second World War, the London County Council assumed the River Thames would continue to be the heartbeat of Britain’s industry. The Port of London was the country’s largest and busiest port. The London County Council recognised that, in London, the most depressed and congested areas with bad housing housed working people. However, by referencing one part of the culture of this part of London, the London County Council was relying on a homogeneity of experience, difficult to defend in 1960s London. Using the initial reception of The Dockers, as well as the sculpture’s subsequent vandalism and destruction, this article shall analyse how the London County Council’s vision for post-war Poplar changed through the rapid deindustrialisation of the 1980s, through to the rapid gentrification of the area in the 21st century.
A Machine Learning Framework for Generating Photorealistic Photos of Real Time Objects using Adam Optimizer by a Generative Adversarial Network (GAN)
Authors: Paleti Lakshmikanth , Badiguntla Ramakrishna , Reddy H. Venkateshwara , Prabhakar K. , Babu CH. Suresh , Krishna K. Vamsi
Published: January 2023

Photographic training can result in new photographs that, to human observers, appear to be at least superficially authentic, with many realistic features. will discuss a number of intriguing GAN applications in order to help you develop an understanding of the types of problems where GANs can be used and useful. It is not an exhaustive list, but it includes numerous examples of GAN applications that have garnered media attention. This Paper Proposes a Framework for Generating Photorealistic Photos of real time objects (FGPPO) using Adam Optimizer by Generative Adversarial Networks.
Load Cell Mechatronic Approach with Finite Element Analysis (FEA) in SolidWorks Design Development of a Small-Scale Egg Sorter
Authors: Malonjao Ray , Paul Alvarez Francis , Rey Bomediano Jan , Victor Campos Joseph , Ian Marte Czar , Julliano Matibag Don , Malonjao Juvy
Published: January 2023

This research was about developing an automated small-scale egg sorting machine, equipped with mechatronic components, that can sort chicken eggs and place them in trays according to five (5) weight classifications: pewee, small, medium, large, and extra-large with the use of an Arduino load sensor. The machine was made up of a load cell sensor, an Arduino mega controller, a suction mechanism hanging from a rail system driven by a National Electrical Manufacturers Association (NEMA) stepper motor, and a set of five egg trays for the five (5) egg weight classifications. The Arduino Mega microcontroller was used to operate the machine's moving parts, pump, sensors, and LCD. The machine was equipped with an alarm system that produces a sound when the suction picks up the 13th egg of a full tray. The Finite Element Analysis (FEA) simulation was done using SolidWorks software to analyze the vacuum pump capacity and the effects of dynamic force on the eggs during the pick and place process. Testing results of the actual fabricated machine indicated that it was able to successfully weigh, pick through suction, sort, and place eggs into 2x6 trays according to weights. The accuracy was 92.55 percent.
FPGA Implementation of Double Precision Floating Point Multiplier
Authors: Abdullah Mohd. , Chourasia Bharti
Published: January 2023

High speed computation is the need of today’s generation of Processors.  To accomplish this major task,  many functions  are implemented  inside the hardware  of the processor rather than  having  software  computing  the  same  task. Majority of the operations which the processor executes are Arithmetic operations which are widely used in many applications that require heavy mathematical operations such as scientific calculations, image and signal processing. Especially in the field of signal processing, multiplication division operation is widely used in many applications. The major issue with these operations in hardware is that much iteration is required which results in slow operation while fast algorithms require complex computations within each cycle. The result of a Division operation results in a either  in Quotient  and  Remainder  or a Floating  point  number  which is the  major reason  to  make it  more complex than  Multiplication  operation.
Application of Fuzzy Algorithms for Controlling the Modes of Solar Panels in Technological Monitoring at Peak Load
Authors: O. R. Kuzichkin , G. S. Vasilyev , K. V. Bondarik , M. A. Gladyshev
Published: January 2023

The functional structure of geoecological and technological monitoring systems is analyzed. It is shown that the complication of the multifunctional automated system of geoecological and technological monitoring (MF AS) and the increase in its dynamics aggravates uncertainty of its condition estimation. An uncertainty model of the state of a multifunctional automated system of geoecological and technological monitoring has been developed. To implement the model, fuzzy sets of linguistic estimates fluctuating in time are obtained. The application of fuzzy algorithms to control the modes of solar panels and the detection of failures in thermoelectric systems has been carried out. As a result of the simulation, an increase in the efficiency of the thermoelectric system was revealed by reducing peak loads by 28% and, accordingly, reducing the probability of failures by almost 2 times.
Intelligent Trust based Security Framework for Internet of Things
Authors: Rana Kajol , Singh Ajay Vikram , Vijaya P.
Published: January 2023

Trust models have recently been proposed for Internet of Things (IoT) applications as a significant system of protection against external threats. This approach to IoT risk management is viable, trustworthy, and secure. At present, the trust security mechanism for immersion applications has not been specified for IoT systems. Several unfamiliar participants or machines share their resources through distributed systems to carry out a job or provide a service. One can have access to tools, network routes, connections, power processing, and storage space. This puts users of the IoT at much greater risk of, for example, anonymity, data leakage, and other safety violations. Trust measurement for new nodes has become crucial for unknown peer threats to be mitigated. Trust must be evaluated in the application sense using acceptable metrics based on the functional properties of nodes. The multifaceted confidence parameterization cannot be clarified explicitly by current stable models. In most current models, loss of confidence is inadequately modeled. Esteem ratings are frequently mis-weighted when previous confidence is taken into account, increasing the impact of harmful recommendations. 

              In this manuscript, a systematic method called Relationship History along with cumulative trust value (Distributed confidence management scheme model) has been proposed to evaluate interactive peers trust worthiness in a specific context. It includes estimating confidence decline, gathering & weighing trust      parameters and calculating the cumulative trust value between nodes. Trust standards can rely on practical contextual resources, determining if a service provider is trustworthy or not and does it deliver effective service? The simulation results suggest that the proposed model outperforms other similar models in terms of security, routing and efficiency and further assesses its performance based on derived utility and trust precision, convergence, and longevity.
Analysing the Residential Electricity Consumption using Smart Meter
Authors: Narayana Palety Badari , Mahalakshmi C.
Published: January 2023

A massive amount of electricity usage may be accessed on an everyday and hourly basis due to the advancement of smart power measuring technology. Electricity demand management and utility load management are made easier by energy usage forecasts. The majority of earlier studies have concentrated on the power consumption of business clients or residential buildings, or they have experimented with individual household electricity usage using behavioral and occupant sensor information. This study used smart meters to examine energy usage at a single household level to enhance residential energy services and gather knowledge for developing demand response strategies.The power usage of various appliances in a single household is estimated, by utilizing Autoregressive Integrated Moving Average (ARIMA) modeling technique, which is applied to daily, weekly, and monthly information granularity. To select the household’s energy consumption dataset for this study, a multivariate time-series dataset describing the four-year electricity usage of a household is provided. The use of Exploratory Data Analysis (EDA) is utilizedfor the selection of features and data visualization. The correlation coefficients with the daily usage of the household have been computed for the characteristics prepared for the forecast. The top three major determinants with the top three positive significance are "temperature," "hour of the day," and "peak index." A single household's usage is inversely related to the variables having negative coefficients. It should be noticed that the correlations among a household's attributes with usage vary from one another. Finally, the power prediction is analyzed in a single household.
Feature-Based Opinion Classification Using the KPCA Technique: Concept and Performance Evaluation
Authors: Kumar Sandeep , Ahuja Bindiya
Published: January 2023

Over the last several years, a widespread trend on the internet has been the proliferation of online evaluations written by people with whom they share their ideas, interests, experiences, and opinions. Opinion mining, also known as sentiment analysis, is the process of classifying pieces of text written in a natural language on a subject into positive, negative, or neutral categories according to the human emotions, views, and feelings that are communicated in that text. The field of sentiment analysis has progressed to the point that it can now analyse internet evaluations and provide significant information to people as well as corporations, which may assist these parties in the decision-making process. In the proposed model, feature extraction extracts the collection of features that are both semantically and statistically significant using the kernel principal component analysis (KPCA) method. According to the findings of the simulations, the suggested model performs better than other existing models.
Modeling and Sentiment Analysis of Online Reviews in Hospitality Industry
Authors: Kumar B. Sampath , Reddy D. Bhanu Sree
Published: January 2023

With the great extent of use of smartphones and the internet, the online hotel booking service providers have excessively increased thus producing more user-generated content in the form of reviews and comments about the customer experience. These reviews of visited customer’s aids hotel management personnel not only to forecast the future demand but also to implement effective strategies for better service.

It is becoming a tuff job in this scenario for the hotel management to get exact information from the wide range of reviews.

In this analysis, it is to identify the classification of the sentiment from the customer reviews. The classification can be done with text mining approach with the source of information. Two dictionaries are developed for the usage of data classification around 431 reviews taken from Tripadvisor.com and Booking.com. Finally Latent Dirichent Allocation (LDA) modeling algorithm is applied to identify related topics and it was used to sort out the issues in consumer sentiment analysis.    

Study findings revealed that majority of the reviews were with positive sentiments and the topics found best with hospitality domain and sentiment term were such as “food”, “hospitality”, “room”, “people”, “friendly” , “Relax”, “feelings”, and “holiday” as hospitality terms and “Strong Positive” and “Ordinary Positive” as sentiment terms.
Role of Deep Learning in Mobile Ad-hoc Networks
Authors: Rathod Vijay U. , Gumaste Shyamrao V.
Published: January 2023

The portable capability of MANETs has specially delighted in an unexpected expansion. A massive need for dynamic ad-hoc basis networking continues to be created by advancements in hardware design, high-speed growth in the wireless network communications infrastructure, and increased user requirements for node mobility and regional delivery processes. There are several challenging issues in mobile ad-hoc networks, such as machine learning method cannot analyze features like node mobility, channel variation, channel interference because of the absence of deep neural layers. Due to decentralized nature of mobile ad hoc networks, its necessitate to concentrate over some extremely serious issues like stability, scalability, routing based problems such as network congestion, optimal path selection, etc. and security.
Sarcasm Detection on Text for Political Domain— An Explainable Approach
Authors: Bagate Rupali Amit , Suguna Ramadass
Published: January 2023

In the era of social media, a large volume of data is generated by applications such as the industrial internet of things, IoT, Facebook, Twitter, and individual usage. Artificial intelligence and big data tools plays an important role in devising mechanisms for handling this vast volume of data as per the required usage of data to form important information from this unstructured data. When the data is publicly available on the internet and social media, it is imperative to treat the data carefully to respect the sentiments of the individuals. In this paper, the authors have attempted to solve three problems for treating the data using AI and data science tools, weighted statistical methods, and explainability of sarcastic comments. The first objective of this research study is sarcasm detection, and the next objective is to apply it to a domain-specific political Reddit dataset. Moreover, the last is to predict sarcastic words using counterfactual explainability. The textare extracted from the self-annotated Reddit corpus dataset containing 533 million comments written in English language, where 1.3 million comments are sarcastic. The sarcasm detection based model uses a weighted average approach and deep learning models to extract information and provide the required output in terms of content classification. Identifying sarcasm from a sentence is very challenging when the sentence has content that flips the polarity of positive sentiment into negative sentiment. This cumbersome task can be achieved with artificial intelligenceand machine learningalgorithms that train the machine and assist in classifying the required content from the sentences to keep the social media posts acceptable to society. There should be a mechanism to determine the extent to which the model's prediction could be relied upon. Therefore, the explination of the prediction is essential. We studied the methods and developed a model for detecting sarcasm and explaining the prediction. Therefore, the sarcasm detection model with explainability assists in identifying the sarcasmfrom the reddit post and its sentiment score to classify given textcorrectly. The F1-score of 75.75% for sarcasm and 80% for the explainability model proves the robustness of the proposed model.
An Examination of How Robots, Artificial Intelligence, and Machinery Learning are Being Applied in the Medical and Healthcare Industries
Authors: Gulati Kamal , Nayak Keyurkumar M , Priya B. Shanmuga , Venkatesh B. , Satyam Yedlla , Chahal Deepak
Published: January 2023

Machine learning techniques are associated with diagnostics systems to apply methods that enable computers to link patient data to earlier data and give instructions to correct the disease.In recent years, researchers have promoted two or three data mining based techniques for disease diagnosis. Each function in machine learning and data mining techniques is built through characteristics and features.As a part of prognosis, information must be separated from patient data and information retrieved in stored databases and comparative records. For any disease, early diagnosis or diagnosis will determine the chances of a correct recovery. Disease prediction therefore becomes a more important task to support physicians in delivering efficient treatment to people.In health care, data is being created and disposed of at an extraordinary rate compared to the health care sectors. Data for medical profiling is often found in a variety of sources such as electronic health records, lab and imaging systems, doctor notes and accounts. The medical records database will then contain irrelevant data sourced from multiple sources. Preprocessing data and eliminating irrelevant data then immediately opening it up for predictive analysis is one of the significant difficulties of the health care industry.
Text-Independent Automatic Dialect Recognition of Marathi Language using Spectro-Temporal Characteristics of Voice
Authors: Mulla Rahesha , Kumar B. Suresh
Published: January 2023

Text-independent dialect recognition system is proposed in this paper for Marathi language. India is rich in language varieties. Each language in turn has its unique dialect variations. Maharashtra has Marathi as official language and for Goa it is a co-official language . In literature there are very few studies  available for Indian language recognition and then their respective dialect recognition. So research work available  for regional languages such as Marathi is extremely limited. As a part of research work, an attempt is made to generate a case study of a low resourced Marathi language dialect recognition system. The study was carried out using Marathi speech data corpus provided by Linguistic Data Consortium for Indian Language (LDC- IL). This corpus  includes four major dialects of Marathi speakers. The efficiency and performance evaluation of the explored spectral (rhythmic) and temporal features are carried out to perform classification tasks. We investigated the performance of six different classifiers; K-nearest neighbor (KNN), Naïve Bayes (NB), Support Vector Machine (SVM), Decision Tree (DT) classifier , Stochastic Gradient Descent (SGD) classifier and Ridge Classifier (RC). Experimental results have demonstrated that the RC classifier worked well with 84.24% of accuracy for fifteen spectral and temporal features. With twelve MFCCs it has been observed that SGD  has outperformed among all classifiers with accuracy of 80.63%. For further study, a prominent feature subset as a part of dimensionality reduction  has been identified using chi square, mutual information and ANOVA-f test. In this chi-square based feature extraction method has proven to be the best over over mutual information and ANOVA f-test.
Image Enhancement in Foggy Images using Dark Channel Prior and Guided Filter
Authors: Harne Sachin , Choubey Siddhartha , Choubey Abha
Published: January 2023

Haze is very apparent in images shot during periods of bad weather (fog). The image's clarity and readability are both diminished as a result. As part of this work, we suggest a method for improving the quality of the hazy image and for identifying any objects hidden inside it. To address this, we use the picture enhancement techniques of Dark Channel Prior and Guided Filter. The Saliency map is then used to segment the improved image and identify passing vehicles. Lastly, we describe our method for calculating the actual distance in units from a camera-equipped vehicle of an item (another vehicle).Our proposed solution can warn the driver based on the distance to help them prevent an accident. Our suggested technology improves images and accurately detects vehicles nearly 100% of the time.
Criminal Law Meaning of Professionalization of Сriminal Activities (the Case Study of the 1922 Criminal Code of the RSFSR and the 1996 Criminal Code of the Russian Federation)
Authors: Skoblikov P. A.
Published: January 2023

In 2022, 100 years have passed since the adoption of the first Soviet Criminal Code — a fundamentally new codified enactment in the history of Russian legislation. The purpose and objectives of this study are 1) to identify and analyze provisions of the 1922 Criminal Code of the RSFSR aimed at combating professional crime, to assess their validity, novelty and consistency in the context of criminal and political objectives set before legislative bodies by the Soviet Russia establishment, as well as their dependence on socio-economic and criminological situation that was developing at that time; 2) to determine to what extent the legislator’s approaches to the criminal law fight against professional crime, used in the creation of the Code under consideration, were embodied and developed in subsequent criminal legislation of our country. To solve these problems, the author used rules and techniques of formal and dialectical logic, abstraction and generalization, historical, comparative and formal legal research methods, methods of interpretation of legal norms, documentary sources examination, ideal experiment, legal forecasting, results of previous criminological studies, etc. The author analysed the main and qualified corpa delicti containing such signs as engaging in crimes of a certain type as a profession and committing a crime in the form of a trade. The paper examines the rules of sentencing professional criminals and application of other social protection measures to them in addition to punishment. The author sets out provisions of the criminal law in combination with characteristics of socio-economic and criminogenic situation of the early 20s of the 20th century. Also, the paper explains the views of Soviet lawyers on problems of criminal professionalism and provides the author’s assessment of the grounds for legislative decisions, their gaps and shortcomings. In conclusion, the author briefly describes implementation of the ideas concerning countering professional crime in subsequent Russian criminal codes and in the currently effective 1996 Criminal Code of the Russian Federation.
The Content of Acquisitive Prescription Criteria in the Doctrine and Law Enforcement Practice
Authors: Martynova A. A.
Published: January 2023

The author analyzed the practice of general jurisdiction courts and commercial (arbitrazh) procedure courts in cases related to acquiring property rights by way of acquisitive prescription heard in 2020–2021. The aim of the study is to determine the degree of influence of legal positions that have been developed in domestic judicial practice on the project of reforming the institution of acquisitive prescription in Russia. The analysis of the array of court decisions resulted in the determination of the content of the acquisitive prescription criteria in law enforcement practice of Russian courts, identification of the problems related to the procedure for recognizing the right of ownership of real estate in the order of acquisitive prescription in court, and proposals for solving them. The author makes conclusions about the preparation of a draft Russian reform of the institution of acquisitive prescription without taking into account the legal positions developed in the practice of courts of general jurisdiction and commercial (arbitrazh) courts in cases of acquiring property rights by way of acquisitive prescription.