bluuebunny/crossref_metadata_2025 huggingface dataset:
Philosophy and Social Sciences in a Securitological Perspective
Authors:   Military University of Technology (Poland), Świniarski Janusz
Published: January 2023

The inspiration of this text is the belief of the Pythagoreans that the roots and source of complete knowledge is the quadruple expressed in the “arch-four”, also called as tetractys. Hence the hypothesis considered in this paper is: the basis of the philosophy of social sciences is entangled in these four valours, manifested in what is “general and necessary” (scientific) in social life, the first and universal as to the “principles and causes” of this life (theoretically philosophical) and “which can be different in it” (practically philosophical) and “intuitive”. The quadruple appears with different clarity in the history of human thought, which seeks clarification and understanding of the things being cognised, including such a thing as society. It is exposed in the oath of the Pythagoreans, the writings of Plato and Aristotle, who applied these four valours, among other things, in distinguishing the four types of knowledge and learning about the first four causes and principles. This fourfold division seems to be experiencing a renaissance in contemporary theological-cognitive holism and can be treated as an expressive, a “hard core”, and the basis of research not only of social but mainly of global society as a social system. This entanglement of the foundations of the philosophy of the social sciences leads to the suggestion of defining this philosophy as the knowledge of social being composed of “what is general and necessary” (scientific), genetically first, universal (theoretically philosophical) and “being able to be different” (philosophically practical) and intuitive.
Modelling Yield Response and Water Use to Salinity and Water Relations of Six Pepper Varieties
Authors: SEMİZ Gülüzar Duygu , ŞENTÜRK Cansu , YILDIRIM Ahmet Cengiz , TORUN Elifnaz
Published: January 2023

Better understanding of crop yield response under salinity and water deficit conditions is essential to meet food need under the circumstance of population growth and climate extremities. It has been well known that plant species response differently under stress conditions. Recent studies show that these different responses occur not only among species but also in different varieties within the same species. The aims of the study are to examine and to compare yield, yield response factors (ky), salinity thresholds, biomasses, and water productivity responses of six varieties of pepper plant (Sürmeli-Hot, Yalova, BT016-Hot, BT 016, BT Ünsal, BT Demok) under salinity conditions. In another experiment under the same conditions (location, time, growth media etc.), water deficit was applied to two of these six varieties (BT Ünsal and BT Demok) separately, and their responses to salinity and water deficit conditions were compared. The experiment was carried out in containers. The amount of irrigation water was determined manually by weighing each container. Water deficit treatments were consisted of meeting 120, 100, 70 and 50% of soil water depleted from field capacity. Water salinity levels were 0.25 (control), 2, 4 and 6 dS m-1. There was no difference in yield under non-stress and excessive stress conditions, but the yield difference was as high as 38.9% under moderate stress conditions. Varietal differences were also observed for water productivity. Salinity threshold values vary between 0.89 and 1.83 dS m-1. Yield response factor (ky) were high for all varieties under salinity. Comparing the ky values obtained under water deficit and salinity experiments, sensitivity to salinity induced water stress was found higher than that of applied water deficit itself. Using salinity (Model 1) and water deficit (Model 2) data set of two varieties, two models were created plotting relative yield and water potentials (osmotic potential + matric potential) and compered their predications statistically. Statistically better predictions were obtained from Model 2.
Development of AI Based Larvae Transfer Machine for Royal Jelly Production
Authors: GÜNEŞ Hüseyin
Published: January 2023

Honeybees produce many different products beneficial to humans. One of these of is royal jelly which is the bee product with highest nutritional value but is most difficult to produce. The most time-consuming procedure in royal jelly production involves removing larvae with ideal size from the honeycomb cells and transferring them to queen cups. In order to increase the speed of the larva transfer process and perform it without labor power, a machine autonomically performing larva transfer was developed in three stages. Firstly, a CNC platform that can move on three axes above the honeycomb was created. In the second stage, a camera device was developed to image the larvae and mounted on the platform. Later larvae were photographed with this device and labelled. Tagged photos have been quadrupled by data augmentation methods. A Mobiledet+SSDLite deep learning model was trained with these photographs and this model identified larvae with ideal size with 96% success. Additionally, the central points of the honeycomb cells were identified with the Hough circles method. In the third and final stage, a device which can transfer the identified larvae from the honeycomb cells to the queen cups was developed and mounted on the platform. Later general software controlling the platform and devices was developed. At the end of this study, for the first time in the literature, an artificial intelligence-supported machine was developed for automatic transfer of ideal larvae from natural honeycombs for royal jelly production.
Determination of Separation Efficiency of Hydrocyclone Used Pre-Filter in Micro Irrigation at Different Inlet Velocities and Sand Diameters
Authors: GENÇOĞLAN Cafer , ŞAHİN Hayri , GENÇOĞLAN Serpil
Published: January 2023

Hydrocyclones are used as pre-filter to reduce suspended particles in irrigation water on the subsequent filters. The aim of the study was to determine separation efficiency (SE) of hydrocyclones, called H1, H2 and H3 according to inlet/outlet diameters, at water velocities of 1.0 (V10), 1.5 (V15) and 2.0 (V20) ms-1, and sands diameter of 0.5 (D05), 1.0 (D10), 1.5 (D15), 2.0 (D20) and 2.5 (D25) mm. Therefore, a hydrocyclone laboratory test system was constituted using a water tank, motor pump, inverter, flowmeter, valve, hydrocyclone, disk filter, and polythene pipe. Separation efficiencies were calculated by dividing amounts of sand collected in collection box by feeding amount of sand. The lowest average separation efficiency was determined as 37% at H1V10D05 treatment and the highest ones as 97% at both H2V20D10 and H3V20D20, and the other ones changed between two values. Average separation efficiencies resulted as 69%, 88% and 88% for H1, H2 and H3 hydrocyclones, and 71%, 84% and 90% for V10, V15 and V20 water velocities, and 78%, 82%, 82%, 83% and 84% for D05, D10, D15, D20 and D25 sand diameters, respectively. Besides these, average separation efficiency for three parameters was 82%. Since the inlet size of H2 is smaller than that of H3 and its SE was higher than that of H1 and equal to that of H3, the most suitable hydrocyclone was determined as H2 to be used in the micro irrigation. The highest average separation efficiency was 90% at a water velocity of 2.0 ms-1. According to separation efficiency of the hydrocyclone, the optimum water velocity in the inlet of the hydrocyclone was determined as 2.0 ms-1. The separation efficiency of hydrocyclone showed that the efficiencies increased with increasing water velocity from 0.5 ms-1 to 2.0 ms-1 and sand diameters from 0.5 to 2.5 mm. In separation efficiency for micro irrigation, water velocities and suspended materials play crucial roles as well as hydrocyclone mechanical properties.
Relationship between the Risk of Eating Disorders and the Concentration Capacity of High School Students
Authors: Setijawan Samantha Shania , Kurniawan Felicia
Published: January 2023

Background: Eating disorder is a change in eating behaviour that affects daily activities, resulting in a vulnerability towards diseases that have several effects on the organ systems, including the neurological system. In teenagers, these disturbances, including a decline in memory, cognitive function, and concentration, will significantly affect daily activities, especially in their studies. The objective of this study was to determine the relationship between the risk of eating disorders and the concentration capacity of high school students aged 12–19 years old. Methods: This study was an observational analytic study conducted cross-sectionally among high school students. Data were collected from September to October 2019. Data were taken using Eating Disorder Examination (EDE) Questionnaire filled out by the respondents, followed by a Stroop test. Data analysis was performed by the chi-square test.Results: Of 294 students, 56.5% had a risk of eating disorder, of whom 66.7% did eating restrain. Of all respondents, 54.8% had poor concentration capacity. There was a relationship between the risk of eating disorder and concentration capacity (p=0.002).Conclusion: The risk of eating disorders has a significant relationship with concentration capacity. An urgent measurement is needed to promote an eating behaviour among adolescents to increase good and productive daily activity.
Local and regional determinants of phytoplankton communities in water reservoirs from the Cerrado biome
Authors: Silva Leonardo Beserra da , Souza Carla Albuquerque de , Vieira Ludgero Cardoso Galli , Antonio Erina Vitório Rodrigues , Couto Junior Antonio Felipe
Published: January 2023

Abstract Aim Based on a study comprising water reservoirs within the Brazilian Cerrado biome, we seek to answer the following question: how does phytoplankton communities respond to environmental, landscape, and spatial predictors? We expected local predictors to be the main factors structuring the communities. Since phytoplankton has high dispersal capacity, the geographical distance would be of minor importance. Methods: We collected phytoplankton samples from 40 water reservoirs in the rainy season and 37 reservoirs in the dry season. We performed a partial Redundancy Analysis (pRDA) to evaluate the factors influencing the variation in the composition of phytoplankton communities. Results We found that spatially structured environmental factors were controlling phytoplankton communities at the rainy season, whereas landscape was the main predictor in the dry season. On the other hand, phytoplankton morphofunctional groups were influenced only by local predictors. Conclusions We demonstrated that phytoplankton dynamics differs between rainy and dry seasons, and that distinct predictors affect phytoplankton communities over seasons.
MULTIBAND FLEXIBLE ULTRA-WIDEBAND ANTENNA FOR WEARABLE ELECTRONICS AND BIOMEDICAL APPLICATIONS
Authors: Prasanna R. , Selvi G. Thamarai , Annaram Karuppiah , Venkatalakshmi K. , Jenath M. , Prathaban Banu Priya
Published: January 2023

This article proposes a flexible ultra-wideband (UWB) antenna for wearable electronics and biomedical applications. The antenna presented for this work is fabricated on a Kapton polyimide (PI) substrate, and the operating frequency ranges from 2.4 GHz to 7.1 GHz. The footprint of the proposed antenna is 35 × 45 mm with an elliptical radiating element fed by coplanar waveguide (CPW), which achieves improved impedance matching characteristics. The choice of substrate, design constraints, fabrication process, and bending test of the proposed flexible UWB antenna are explained in detail in this paper. A comparative study on the choice of substrate is performed and the Kapton PI is chosen as the substrate material, which makes the antenna less susceptible to degradation in antenna performance that arises due to bending effects. The measurement and simulated results of the fabricated antenna show a good degree of agreement. The return loss performance of the proposed antenna is greater than -10 dB in all the operating bands with improved gain and directivity. The flexible nature with multiple frequency bands of operation and good bending performance makes the proposed antenna appropriate for wearable electronic and biomedical applications.
HEAT AND MASS TRANSPORT IN A NANOFLUID LAYER USING A THERMAL NONEQUILIBRIUM MODEL CONFINED WITHIN A HELE-SHAW CELL UNDER THE EFFECT OF GRAVITY MODULATION
Authors: Kumar Awanish , Bhadauria Beer S.
Published: January 2023

The local thermal nonequilibrium (LTNE) condition is the temperature difference between the base fluid and the nanoparticle. In the present research article, linear analysis was done to know about the onset of convection in the system, and a weakly nonlinear stability analysis was done to know about heat and mass transport in the system for both the unsteady and steady case. Here we have taken temperature to be constant and nanoparticle flux to be zero at the upper and lower boundaries of the system. The normal mode technique is used for linear analysis, and the truncated Fourier series method is used for nonlinear analysis; plot streamlines, isotherms, and isohaline are used to visualize the conduction, convection, and steady state. We found that the behavior of Hele-Shaw cell is the same in the case of LTNE and local thermal equilibrium (LTE). The effect of Hele-Shaw number, interphase heat transfer coefficient, modified thermal capacity ratio, thermal diffusivity ratio, amplitude, and frequency of modulation on the onset of convection, heat, and mass transfer are depicted graphically. We found that the effect of LTNE can be seen only for the intermediate values of the interphase heat transfer coefficient, and this region is called the LTNE region. We also discuss the result of thermal Nusselt number, streamlines, and isothermals of fluid and particle phase for steady case and plot the graphs with respect to the Hele-Shaw cell Rayleigh number. Rate of heat transfer for the particle phase is higher than the fluid phase for both the unsteady and steady state. In this research paper we find the result for both LTE and LTNE conditions with unsteady and steady cases, while in the previous study we analyzed only for the LTE condition.
Performance of fin pile subjected to torsional loads embedded in dry sand
Authors: Sallam Ahmed , Azzam Waseim , Nasr Ahmed
Published: January 2023

Torsional capacities of shaft piles with fins are experimentally examined. For comparison, model experimental tests were performed on conventional piles without such fins to investigate the behaviour of fin piles on the torsional capacity under diverse parameters. The influence of such fins, which are constructed at the top of the shaft with various values of width and length, was investigated. The test results elucidated that the fin efficiency of torsional capacities of fin piles ameliorates with the increase both of fin width/pile diameter ratio (Wf/Dp) and sand relative density. The adopted fins of the shaft play a vital function in its torsional capacity. This is thought to be because the section modulus of a fin pile shaft is augmented at the top of the shaft owing to the presence of fins, which lead to a soil–pile–fins interaction. In addition, augmenting the fin width will provide an appreciably higher soil resistance and a stiffer performance due to an augmentation of the passive zone of earth pressure in front of the shaft compared with conventional piles. This leads to amelioration in the torsional capacity for fin piles.
Toxicidad dérmica y oftálmica del extracto hidroalcohólico de Curcuma longa, Linn (Curcuvet)
Authors: Cala Delgado Daniel Leonardo , Camejo-Hernández Andrés , Hernández-Martínez Yudisleivy , Montes-Martínez de la Cotera Yenyce , González-Barreiro Olga Lidia , Untoria-Gómez Claudia , Rodríguez-Torres Caridad C. , Pérez-Capote María R. , Guevara-Orellanes Irania , Domínguez-Odio Aníbal
Published: January 2023

Transformar las plantas medicinales en productos industrializables y comercializables implica cumplir numerosas exigencias regulatorias, sobre calidad, seguridad, eficacia y estabilidad de la formulación propuesta. En este contexto, el producto Curcuvet (solución antiséptica y cicatrizante obtenida a partir del extracto hidroalcohólico de C. longa) necesita demostrar su inocuidad antes de utilizarse legalmente en la práctica clínica veterinaria. Por tanto, el presente trabajo tuvo como objetivo evaluar in vivo las potencialidades tóxicas dérmica y oftálmica del producto. Para lograrlo se realizaron tres investigaciones in vivo: toxicidad aguda dérmica, irritabilidad dérmica primaria e irritabilidad oftálmica según las normas descritas por la Organización para la Cooperación Económica y el Desarrollo (OECD) No. 434, 404 y 405 respectivamente. El producto Curcuvet en todos los ensayos fue administrado en dosis única, de forma superficial tanto en piel (rata Sprague Dawley y conejos F1) como en mucosa ocular (conejos albinos Nueva Zelanda). El producto Curcuvet no resultó irritante para la piel de ratas y conejos, no así para las estructuras oculares, las cuales fueron severamente dañadas, alcanzándose un índice de irritabilidad de 110. Se concluye que la formulación Curcuvet administrado en dosis única, resultó no irritante dérmico e irritante severo oftálmico.
Kündigungszustimmung des Integrationsamtes ersetzt kein BEM
Authors: Holtstraeter Reinhard
Published: January 2023

Bisher wird in Literatur und Rechtsprechung uneinheitlich beantwortet, unter welchen Bedingungen ein neuerliches betriebliches Eingliederungsmanagement (BEM) erforderlich ist und ob es durch die Zustimmung des Integrationsamtes zur Kündigung eines schwerbehinderten Arbeitnehmers ersetzt werden könne. Dies verneint die Kammer und fordert bei erneutem Vorliegen der Bedingungen des § 167 Abs. 2 Satz 1 Sozialgesetzbuch (SGB) IV auch unterjährig ein erneutes BEM.
La reputación de marca como elemento fundamental en el posicionamiento internacional de las marcas mexicanas de moda
Authors: Munoz Alvarado Laura Berenice , Sánchez Gabriela Mata-
Published: January 2023

Existen distintas maneras en las cuales las empresas y las marcas de moda logran entrar y posicionarse en nuevos mercados internacionales con el fin de alcanzar el éxito. El propósito de este artículo es analizar la reputación como elemento fundamental del posicionamiento internacional de las marcas mexicanas de moda. Los datos recaudados para esta investigación se generaron con una metodología cualitativa, a través de entrevistas semiestructuradas a especialistas del sector, tanto del ámbito empresarial como académico. Los resultados muestran que la reputación tiene gran relevancia y peso para determinar el posicionamiento comercial de una marca en el mercado internacional.
Apropiación sistémica de la innovación social corporativa en organizaciones de mercados emergentes: una propuesta para la generación de valor compartido
Authors: Franco-Arango Laura , Álvarez-Mesa Catalina
Published: January 2023

Cada vez son más las organizaciones en mercados emergentes que han optado por la innovación social corporativa como una estrategia para materializar su propósito y generar valor compartido. Por esto, el objetivo del artículo es proponer un marco de referencia que permita a las organizaciones comprender y gestionar los elementos y habilitadores estratégicos para la apropiación sistémica de la innovación social corporativa en su interior, con el fin de que sea adoptada con mayor capacidad de acción y se consolide como un factor transversal y estratégico característico. Para lograrlo se realizó un estudio de caso colectivo en el que se evidencia la necesidad que tienen las organizaciones de contar con acuerdos iniciales para luego promover cambios estructurales y sistémicos. Así se propicia un contexto para desarrollar la mentalidad de la innovación social en los empleados, a la vez que las compañías consolidan su capacidad de innovación social, encontrando un balance entre lo formal y lo emergente, lo individual y lo colectivo.
Influence of CEO Human Capital and Behavioral Characteristics on Economic Profit of Russian Companies
Authors: Nazarkina Vera , Gostkov Dmitrii , Lapteva Anastasia , Kniazev Vladislav , Ivashkovskaya Irina
Published: January 2023

We investigate how different personal traits of a chief executive officer (CEO) influence value creation in one of the largest emerging capital markets in Russia. Our research model considers several components of human capital of a CEO.

Moreover, we include CEO’s behavioral biases looking at overconfidence measured by industry adjusted ratio of capital expenditures and narcissism captured by the analysis of CEO’s photos following previous academic research approaches. The CEO power is applied to understand its impact over value creation and possible mitigating effect. Our sample consists of 111 Russian publicly traded companies and 235 CEOs for 8 years (from 2013 to 2020). We apply economic profit criteria to measure corporate performance with economic value added (EVA) which captures the spread between actual return on capital derived from financial reports and overall cost of capital based on the risks of a company collected from Bloomberg .

We use first-order differences in company’s contribution to EVA after adjustments to the industry and overall market contributions to EVA for the sample. We find empirical evidence that CEO’s human capital affects value creation measured by first-order differences to industry adjusted EVA yearly. Furthermore, the CEO power has positive impact over value creation in Russian corporations while behavioral biases such as overconfidence ad narcissism do not have significant relationship with the changes in EVA.
Оценка привлекательности недвижимости при комплексном развитии участка территории
Authors: Зеленский И.С. , Парыгин Д.С. , Савина О.В.
Published: January 2023

Развитию городов России свойственна необходимость решения целого ряда проблем, связанных с реорганизацией промышленных территорий, сложившихся в советский период развития экономики, благоустройством и реновацией территории старой застройки, развитием неиспользуемых территорий. Во многом речь идет об обеспечении качества жизни людей, т.к. неравномерное развитие может быть триггером экономической и социальной поляризации. С 2020 года в законодательство РФ введён термин «комплексное развитие территорий» (КРТ). Актуальность исследования подходов к КРТ обусловлена современными тенденциями разрастания городов, изменения принципов образования и развития поселений, требованиями к архитектурному и градостроительному проектированию при создании благоприятной среды для инвестиций и жизнедеятельности человека, а также к управлению развитием имеющихся территорий. Подобное комплексное городское планирование сталкивается с проблемами принятия эффективных и взвешенных управленческих решений. В настоящей статье предлагается подход к сравнению вариантов застройки в рамках КРТ на основе критерия потребительской привлекательности недвижимости на развиваемой территории. Оценку потребительской привлекательности предлагается выполнять на основе открытых данных о городской среде, доступной на тематических сайтах об операциях с недвижимостью и геоинформационных сервисах. В статье описаны созданные алгоритмы подготовки информации, оценки инфраструктурной обеспеченности и потребительской привлекательности объектов недвижимости.
Подход к генерации новостной ленты о событиях в городе
Authors: Шуклин А.А. , Садовникова Н.П. , Гуртяков А.С.
Published: January 2023

Реакция людей на события в городе может быть не только выражением эмоций, но и нести смысловую нагрузку, отражающую положение дел и необходимые меры по предотвращению развития негативных сценариев развития. Такой источник информации требует исследования его специфики. Данная статья описывает этапы разработки подхода, предоставляющего возможность генерации новостной ленты с использованием разнородных источников информации. Описываются различные способы создания новостных сообщений, характеризующих состояние городской среды и происходящие в ней события, а также общий принцип формирования единой новостной ленты на основе сочетания реального новостного потока с генерируемыми и игровыми событиями. Создаваемую на основе предложенного подхода систему планируется использовать в решении задач анализа социального отклика при преобразовании городской территории. Такой подход является особенно актуальным в условиях укрепляющейся тенденции развития городов, ориентированных на удовлетворение запросов своего населения и эффективную реализацию потребностей жизнедеятельности различных стейкхолдеров.
SINIF ÖĞRETMENİ ADAYLARININ AKADEMİK MOTİVASYONLARININ BAZI DEĞİŞKENLER AÇISINDAN İNCELENMESİ
Authors: Yıldırım Remzi , Yoldaş Cenk
Published: January 2023

Öğretmen adaylarının izledikleri öğrenme süreçlerinde taşıdıkları akademik motivasyon hem mevcut öğrenim süreçleri hem de gelecekte sahip olacakları mesleğin gerekliliklerini yerine getirmeleri adına önem taşımaktadır. Sürdürülen eğitim-öğretim sürecinde hizmet veren öğretim elemanlarının bu anlamda sağladığı katkı ve benimsedikleri sınıf yönetimi yaklaşımları da önemli bir etki oluşturmaktadır. Bu çalışmada, Eğitim Fakültelerinin Temel Eğitim Bölümü, Sınıf Öğretmenliği Anabilim Dalında öğrenim gören öğretmen adaylarının akademik motivasyon düzeyleri belirlenmeye çalışılmış ve elde edilen bulgular aracılığı ile sürdürülen sınıf yönetim süreçlerine katkı sağlanması hedeflenmiştir. Çalışmada, “Akademik Motivasyon Ölçeği” aracılığı ile Manisa Celal Bayar Üniversitesi Eğitim Fakültesi Temel Eğitim Bölümü Sınıf Öğretmenliği Anabilim dalında öğrenim gören öğretmen adaylarından veri toplanmıştır. 2022 Güz Döneminde öğrenim gören 228 öğretmen adayının 144 kadarına %95 güven düzeyi ve %5 hata payı kapsamında ulaşılmıştır. Yedi boyut ve yirmi sekiz madden oluşan ölçme aracının uygulanması ile elde edilen verilere göre akademik motivasyon düzeyi yüksek bulunmuştur, cinsiyete, sınıf düzeyine, başarı puan ortalamalarına göre anlamlı fark göstermemiştir. Çalışmaya ait veriler SPSS paket programı ile analiz edilmiş olup, cinsiyet ve başarı puan ortalamalarına göre anlamlı fark durumu bağımsız örneklem t – testi ve sınıf düzeyine göre anlamlı fark durumu tek yönlü varyans analizi ile ele alınmıştır.
Design and Performance Assessment of Split Gate Dielectric Modulated Junction less TFET Variation of Hfo2 by the Divided Gate Insulator for High Sensitivity Using Tcad Simulation
Authors: Debasis Mukherjee Rajkumar Mandal,
Published: January 2023

A number of more recent discoveries in microbiology have made reliable identification of nano-biomolecules and extensive analyses of them necessary. A variety of proteins, including DNA, biotin-streptavidin, amino acids, as well as many types of bacteria and viruses, must be found and analyzed in order to fully comprehend any odd behavior occurring inside of live cells. Rapid testing and detection are essential steps in preventing undiscovered biohazards from eradicating the human race and other terrestrial living things. Since many decades ago, developing an accurate, affordable biosensor has been a struggle for scientists [1]. When compared to pricey laboratory-based sensors and detection methods, FET-based lab-on-chip nano biosensors appear to be a promising substitute. It is significantly more dependable than conventional bulk sensors because of its size, affordability, low power consumption, resilience, faster response time, and better sensitivity [1]. Due to their precision, adaptability, and compatibility with embedded systems, dielectrically modulated FET biosensors with Nano cavities are emerging as a promising research area that can yield useful data on bio-analyses. As an alternative to conventionally doped TFET devices, using a charge plasma SiGe-heterojunction double gate TFET, a label-free biosensor can be produced, bypassing the need for conventional semiconductors, which require a large thermal budget and are susceptible to random dopant fluctuations (RDFs). The effect of changing the dielectric constant (k), the positive and negative charge density, the gate work function, and the cavity size has been investigated to better understand how these factors affect the performance of the proposed biosensor. These parameters modify the biosensor's electric characteristics, improving detection [2]. There is also discussion of how these factors influence the device's drain current, electric field, surface potential, sub-threshold swing (SS), insulator-to-metal film (ION/IOFF) ratio, and electron tunneling rate (ETR). The sensitivity of the drain current in the proposed biosensor is also investigated. There is no restriction on whether or whether the proposed structure is used for charged or neutral molecules.Under lower supply voltages, it is discovered that the SG-DM current JLFET's sensitivity is high, measuring 1.2 *10^3, with a potential sensitivity of 1.4 V. A result, the SG-DM [2] JLFET exhibits good application potential while consuming little power and having ahigh sensitivity.
Endodontic management of an unusual bi-rooted mandibular canine
Authors: Sachdev Sanpreet Singh , Shetty Vathsalya , Barik Sushmita , Richhawal Anil , Kawle Sahil
Published: January 2023

A successful outcome of endodontic therapy can be achieved by a thorough knowledge of root canal morphology and its variations. The mandibular canine commonly presents with a single root and a single canal. A few may present with two canals in a single root and even rarer are those with two distinct roots and root canals. The present manuscript describes a case of an atypical bi-rooted mandibular canine. Careful examination of preoperative radiographs revealed a mandibular canine with two distinct roots and two canals. The access cavity was prepared, the working length was determined and the canal was prepared with rotary instrumentation with copious irrigation of sodium hypochlorite and EDTA. This was followed by obturation and post-operative evaluation. Careful assessment of root canal morphology should be done in every case for a successful outcome and to avoid any mishaps.
Digital impression and CAD/CAM system applications in pediatric dentistry: Case series
Authors: Gupta Gaurav , Gupta D K , Gupta Priyanka , Rana Kuldeep Singh , Shah Parth , Sankhla Devanshi
Published: January 2023

Computer-Aided Design/Computer-Aided Manufacture (CAD/CAM) and digital imprint systems offer several benefits compared to traditional techniques. Use of CAD/CAM system to scan preparations and generate restorations in-office, removes second appointment for patient. In present case series we describe use of digital dentistry in pediatric patients and will fabricate space maintainer and zirconia crown using digital impression and digital workflow.
Quality Inspection Method of Agricultural Products Based on Image Processing
Authors: Liu Liping , Luo Guangqiang
Published: January 2023

Farmers should provide high-quality agricultural products and companies should receive high-quality agricultural products, which is the purpose and pursuit of the business model of "companies plus farmers". In order to increase the stability of the cooperation mode between companies and farmers, it is necessary to detect the quality of agricultural products accurately, objectively and efficiently. Therefore, this article studies the quality inspection method of agricultural products based on image processing. Firstly, the traditional threshold calculation method and threshold function are improved to obtain more ideal denoising effect of agricultural products images. Aiming at the problem that the traditional image processing model cannot obtain fine-grained feature information of image objects, a multi-level feature dependence extraction network is constructed, and the structure and working principle of the network model are introduced in detail. Experimental results verify the effectiveness of the proposed algorithm and model for agricultural product quality inspection.
Multimodal Human Facial Emotion Recognition Using DenseNet-161 and Image Feature Stabilization Algorithm
Authors: R Angeline , A Alice Nithya
Published: January 2023

Human Facial Emotion Recognition (FER) is the technology to predict listener’s emotion of static images and videos to uncover data on one's enthusiastic states like happy, sad, frustration, anxiety, surprise, hate and neutral states. It's a part of the affective computing technology, which may be a collaborative area of research on listener’s emotions. The ability of a computer to recognise and understand and frequently explain human emotions and emotional states which relies on computing (AI) technology. The most difficult part of the FER is to plan the various looks with the separate enthusiastic states. The standard steps of Facial Emotion Recognition are i) Face RoI identification ii) Feature Extraction and iii) Emotion Recognition. Convolutional Neural Network models are the most commonly utilised to detect listener emotions. In this paper, an Image Feature Stabilization Algorithm (IFSA) is proposed to improve the efficiency of facial emotion recognition by implementing Deep Convolutional Neural Network (DCNN) model using the Transfer Learning (TL) technique. The architecture entails employing a FER-compatible pre-trained Densenet-161 based DCNN model and then fine-tuning the model for face emotion data. Initially, the dense layer(s) is/are trained, followed by the fine-tuning of each of the pre-trained DCNN blocks, resulting in an improvement in FER accuracy, particularly for difficult front face views like partial view. Experiments when performed on the CK+ dataset by employing a 10-fold cross validation method using various pre-train models like VGG 16, VGG19, ResNet-18, 34, 50, 152, Inception-V3 and DenseNet-161 showed accuracy of 85.9%, 94.6%, 91%, 91%, 91.1%, 95.1%, 97.1% and 98.7% respectively. Thus, Facial Emotion Recognition performed using the finetuned DenseNet-161 architecture demonstrated exceptionally improved accuracy compared to other pretrained models, along with the proposed image feature stabilization algorithm. The proposed architecture using Densenet-161 showed improved accuracy of 98.78% and 97.52% in other challenging FER datasets like KDEF and JAFEE.
Fast Target Recognition Method Based on Multi-Scale Fusion and Deep Learning
Authors: Sun Guangming , Kuang Bo , Zhang Yunkai
Published: January 2023

Under the natural state of unrestricted conditions, the accuracy of effective recognition of image target information captured by ordinary cameras is significantly reduced. At present, the mainstream research methods for image target recognition focus on the processing of images based on algorithms with strong ability to describe image target features so as to improve the image target recognition performance in cases of complex noise interference. However, most of the methods cannot adapt to various changes in the background when the environment changes. Therefore, this article conducts studies on the fast target recognition method based on multi-scale fusion and deep learning. The optimized local binary pattern algorithm and the HOG algorithm are used to extract the image target features, the dimension reduction of the extracted image target features is carried out based on the generalized discriminant analysis algorithm, and multi-scale fusion of image targets is accomplished based on the discriminant correlation analysis. The experimental results verify the effectiveness of the proposed algorithm.
Effect of DNN Approximation for Channel Estimation and Signal Detection on OFDM Applications
Authors: Çalışır Bircan
Published: January 2023

This paper offers a deep learning approximation to realize channel estimation and signal detection that creates the main communication structure skeleton for the orthogonal frequency-division multiplexing (OFDM) system known as an efficient modulation type on 5G. This letter offers an application of deep learning to handle the wireless OFDM channels' end-to-end conduct. First, channel state information (CSI) is predicted explicitly that differs from existing OFDM receivers, then detected the transmitted symbols utilizing the predicted CSI. In the end, CSI is predicted by the suggested deep learning approximation indirectly and transmitted symbols are directly recovered. The structure of the designed receiver occurs of a layer of DNN and soft decisions, which resolves the issues channel estimation error, time delay, and limitation of decoding between users in classic detection techniques. In the simulation results, it is observed that the receiver has powerful stability on the power distribution of user, not only convenient for the linear channel, but also for nonlinear channel when enhancement the number of users, also detection can be well on the receiver. Generally, the efficiency of the modulation system decreases with the features of the multipath channel utilized for transmission. Channel estimation and detection of symbols utilize to reduce the impacts of the channel, which needs high computation and bandwidth conventionally. This paper is used deep neural networks (DNN) for detecting the signal, in this way much effort in detecting the channel is prevented. The proposed method saves priceless bandwidth via used CP in OFDM with a big increase in SNR.
Detection of Breast Cancer Using Modified Markov Model
Authors: Aslam Chettukrindi Mohammad , Narayana Donti Satya , Priya Kesari Padma
Published: January 2023

A new segmentation method for medical image with intensity clustering is enclosed. In the intended approach, an improved K-means and EM algorithm are combined to develop a hybrid strategy for better clumping. The intended advent aims to exploit the ability of providing well distributed clump of K-means and the closeness of clumps provided by EM. The introductory clumps are provided by the improved K-means algorithm. This introductory clumping process outcomes in canters which are distributed in the given data. These canters form the introductory variable for EM, which afterwards uses them and repeats to find the local maxima. Experiments for synthetic and real images make evident the feasibility and superiority of the projected model.
Signal Feature Extraction of Music Melody Based on Deep Learning
Authors: Jiang Jinwen
Published: January 2023

In music composition, besides intended original orchestration, the main melody generally has a higher reproduction frequency. To better understand the content and idea of music works, this paper researches a novel method for extracting the features of music melody signals based on deep learning. At first, a supervised classification model is employed to select better features extracted from the raw data of music melody signals and create an optimal melody feature subset; then, the Temporal Convolution Network (TCN) is introduced to propose a new algorithm for detecting feature points of melody signals, and the detection principles are introduced in detail; after that, this paper elaborates on the melody signal feature point detection model built based on multi-branch and multi-task TCN, and gives the structures and work principles of the encoding module, decoding module, and mask estimation module of the TCN. At last, experimental results verify the validity of the proposed model.
A Novel Architecture for Feature Extraction and Convolution for Image Segmentation of Pathology Detection from Chest X-Ray Images
Authors: Nakka Sarada , Komati Thirupathi Rao , Chekuri Sudha Sree
Published: January 2023

Neural networks are widely used for the automation of analysis and classification tasks in the field of medical image processing. They have successfully achieved state of the art performance in medical image segmentation and feature extraction techniques. This automatic classification in the medical field is very helpful in developing tools for early detection of dreadful pathologies, like tuberculosis and pneumonia, in areas where access to doctors or radiologists is scarce. In this work, we propose a novel approach for the classification of lung pathologies like tuberculosis and pneumonia by masking them in boundary boxes using convolutional neural networks. Our solution provides a flexible way, by using saved trained models that could be directly employed by the Radiologists. In this paper, we describe the architecture required to achieve such a scalable model which could be used by doctors and radiologists without too much training in the technologies of the times. The proposed convolutional architecture consists of connected components which are parallel residual blocks and sampling layers. The images do not lose their original quality, giving the best error free predictions. We visualize this model to be deployed in labs, providing access to medical imaging expertise to some of the most remote places in the world.
The effect of silver nanoparticles on the structure and functional properties of antimicrobial polymer nanocomposites based on polyethylene oxide
Authors: Lysenkov E.A. , Stryutsky O.V.
Published: January 2023

The presence of antibacterial materials in biomedicine and related fields of science and technology has become essential. Excellent antibacterial activity and low cytotoxic potential of silver nanoparticles generally depend not only on their size, but also on the distribution in matrix media. The development of stabilized polymer-silver nanocomposites containing nanoparticles is considered to be one of the most promising solutions. We developed a new approach to the synthesis of silver nanoparticles. The structure and properties of antimicrobial nanocomposite materials based on polyethylene oxide and synthesized silver particles were studied using the methods of electron microscopy, differential scanning calorimetry, impedance spectroscopy and disk-diffusion microbiological method. As a result, silver nanoparticles with an average size of about 8-10 nm were obtained. It was established that stabilized silver nanoparticles significantly affect the thermophysical and electrical properties of the polymer matrix at relatively low concentrations of the nanofiller (1-2%). The total electrical conductivity of the systems increases by two orders of magnitude when 2% filler is added. Nanocomposite material containing 2% of silver nanoparticles shows significant activity against Staphylococcus aureus (inhibition zone 22 mm). The novel aproach for synthesis of stabilized silver nanoparticles open a new window of possibilities in the development of new antimicrobial materials, based on various polymer matrix: from thermoplastic to elastic. The developed materials with improved functional characteristics in the future can be used as antimicrobial coatings, antimicrobial films and creams, as well as construction products with the necessary functional characteristics and antimicrobial function.
Effect of fullerene C60 admixture in paraffin wax on the refractive index and phase transition temperatures
Authors: Hlek Ya , Ivchenko D. , Khliyeva O. , Zhelezny V. , Zheliba Yu.
Published: January 2023

The paraffin wax (PW) utilized as a phase change material is promising for thermal energy storage systems. However, the application of this material is limited by itslow thermal conductivity. The fullerene C60 adding in PW can help to eliminate this problem.Therefore, the system PW/C60 is promising for studying its properties.

The results of an experimental study of the refractive index of solutions of fullerene C60 in PW of 52...54 °C melting point at the ranges of С60content of 0...0.052 wt. %and temperatures of 41…65 °С are presented in the study. The complex character of the concentration dependence of the refractive index on isotherms for the studied thermodynamic systems has been registeredboth in liquid and solid phases.Data on the effect of the C60 content in PW on the temperatures of the start and finish of its phase transition is presented. At C60 content in PW of 0…0.01 wt. %  the temperatures of the start and finish of the phase transition decreased, at C60 content of 0.01…0.04 wt. %  they increased more than the pure PW temperatures and at C60 content more than 0.04 wt. % they decreased again.

The obtained effects of a decrease and increase in the refractive index on the isotherms and temperatures of start and finish of PWcrystallizationcan be explained by structural transformations in PW caused by C60 presence. In the authors' opinion, the reason for the extreme behavior of concentration dependence of the refractive index of objects of study is the effect of C60 on the density fluctuations and the quasi-crystalline structure of the liquid and solid phases.These structural transformations in PW cause a similar change inthe concentration dependencies of the temperatures of the start and finish of the phase transition of objects of study.
Physical aspects of fire and explosion hazard of combustible dust. Part 1.Ignition
Authors: Bulanin F.K. , Nimich A.V. , Oparin A.S. , Sydorov A.E. , Shevchuk V.G.
Published: January 2023

Based on the fundamental combustible systems properties - distributed nonlinear energy sources and flow connection between the environment elements - an analysis of various combustion dust modes is presented. Depending on the ratio betweencharacteristic burning times (thermokinetic characteristics) and heat transfer (scale characteristics), limiting modes are considered as self-ignition, diffusion combustion and auto-wave combustion. Unlike gases, for dusts all the characteristics of ignition and combustion essentially depend on the internal system scales - particle sizes and distances between them. In presented part of the study, the critical ignition temperature dependences and the ignition delay time on all physicochemical dust parameters are analyzed. It is shown that these characteristics for various fuels can be described in a unified way, based on the laws of oxidation (linear and parabolic), with the systematizing parameterfbeing the ratio of the solid fuel reaction surface to the external heat exchange surface.

Taking into account the parameter f, which is the ratio of the dust reaction surface to the external aerosuspensionheat exchange surface of the dust, the critical ignition conditions are obtained in the form of a criterion similar to the single particles ignition. It is shown that it can be used for dust with both a linear and a parabolic oxidation law. Different fuels react in the same way to a change in f, which does not contain fuel characteristics and reflects thedustheat accumulation capability. Thus, the ignition temperature is a linear function of 1/lnf, and the induction period is 1/f.

The ignition temperature and ignition delay time are not physical or chemical, but are relativedust activity properties in relation to the their ignitionprocess. After all, they depend on the size of the reaction vessel.
Measuring the burnout rate of flammable liquids
Authors: Chernenko A.S. , Shyngarov G.L. , Ivanov M.A. , Kalinchak V.V. , Kopiyka A.K.
Published: January 2023

The article discusses the express method proposed by the authors for experimental measurement of the mass burnout rate of liquid combustible substances. Describes the experiments carried out with various liquids, which impregnated products made of porous heat-resistant material in the form of spheres or flat cylindrical "tablets" of different diameters. These products were placed on digital scales and set on fire. A video camera connected to a computer recorded the readings of the scales and simultaneously monitored the combustion process, fixing the value of the current time t. When processing the video file, the dependence of the mass of the liquid burning on the sample on time M = f(t) was plotted. On this graph, a linear section was allocated to measure the mass loss rate, and the specific mass burnout rate of the liquid ṁ was calculated from it. The results were compared with data obtained by other researchers in experiments using various methods for determining ṁ: in particular, with the methods of "stationary sphere", "suspended drop", burnout in a tubular burner, and also from a flat free surface.