bluuebunny/crossref_metadata_2025 huggingface dataset:
Migration and Sustainable Development Goals in the Spanish press (2014-2021): topics, sources, and frames
Authors: Fernández-Romero Cayetano , Prieto-Andrés Antonio , Uldemolins-Julve Enrique
Published: January 2024

One of the biggest global challenges is the international movement of people. For this reason, the 2030 Agenda recognises the importance of migration for development within its Sustainable Development Goals (SDGs) and their respective targets. The objective of our analysis is to investigate the new situation introduced by the 2030 Agenda in relation to migration processes in the media, in this case based on eight leading Spanish newspapers between 2014 and 2021. This study uses the quantitative content analysis methodology and the framing approach. As frames, it uses the five themes proposed by the 2030 Agenda: People, Prosperity, Planet, Peace, and Partnerships. It is interesting to note that seven years after the 2030 Agenda was launched, the SDGs are not often cited by the Spanish press to analyse and discuss the migration phenomenon from a sustainability perspective. Moreover, it is observed that discourses on migration in terms of sustainability present a clear political approach that emphasises the framework of international partnerships and agreements in economic terms, a fact that can contribute to a change in audiences’ perception of the migration phenomenon. On the other hand, it should be noted that the frames chosen by newspapers to talk about the migration phenomenon coincide with each other, although slight differences can be observed in the themes and use of sources.
GAIN AND NOISE IN ERBIUM-DOPED FIBER AMPLIFIER (EDFA) - A RATE EQUATION APPROACH (REA)
Authors: BAO PHUNG QUOC , SON LE HONG
Published: January 2024

We present a rate equation approach (REA) based on the propagation equations

in single-mode Erbium-Doped Fiber Amplifiers (EDFAs). Special attention is paid to the

gain and the amplified spontaneous emission (ASE) noise as functions of position including

the effects of some main parameters such as pump power, signal power.
Two TonB-dependent outer membrane transporters involved in heme uptake in Anabaena sp. PCC 7120
Authors: Graf Julia , Schöpperle Martin , Pernil Rafael , Schleiff Enrico
Published: January 2024

Low availability of micronutrients such as iron has enforced the evolution of uptake systems in all kingdoms of life. In Gram-negative bacteria, outer membrane, periplasmatic and plasma membrane localized proteins facilitate the uptake of iron-loaded chelators, which are energized by TonB proteins. The specificity of different uptake systems likely depends either on the endogenously produced siderophore or on the bioavailability of iron-chelator complexes in the environment. Hence, an uptake system for schizokinen produced by the model cyanobacterium Anabaena sp. PCC 7120 exists, while bioinformatics analysis suggests the existence of additional systems, likely for uptake of xenosiderophores. Consistently, proteins encoded by alr2153 (hutA1) and alr3242 (hutA2) are assigned as outer membrane heme transporters. Indeed, Anabaena sp. PCC 7120 can utilize external heme as an iron source. The addition of heme resulted in an induction of genes involved in heme degradation and chlorophyll a synthesis and in an increase of the chlorophyll a content. Moreover, iron starvation induced the expression of hutA1, while the addition of heme led to its repression. Remarkably, the addition of a high concentration of heme but not iron starvation resulted in hutA2 induction. Plasmid insertion mutants of both genes exhibited a reduced capacity to recover from iron starvation by heme addition, which indicates a dependence of heme uptake on functional HutA1 and HutA2 proteins. The structural model generated by bioinformatics methods is further in agreement with a role in heme uptake. Thus, we provide evidence that Anabaena sp. PCC 7120 uses a heme uptake system in parallel to other iron acquisition systems.
TRANSFORMATION OF TELEMEDICINE PRACTICES THROUGH THE USE OF MULTIFUNCTIONAL EXAM DEVICES: CASE OF GEORGIA
Authors: Mikava Nino
Published: January 2024

In the last decade, digital health has captured special interest of healthcare systems and stakeholders, worldwide. Particularly, in times of COVID-19 pandemics, importance and utilization of telemedicine has increased dramatically. Nevertheless, for the effective utilization of telemedicine services, confidence of medical professionals and acceptance from the side of patients carries critical importance. To achieve same quality of consultation, utilization of digital technologies, such as symptom checkers and multifunctional telemedicine exam kits became increasingly popular in digital health. The purpose of this study is to evaluate usefulness of multifunctional telemedicine exam devices, in scope of perception, attitudes and satisfaction of patients and providers (nurses and doctors). The overall objective is to identify barriers and lessons learned for successful transformation of primary healthcare and implementation of digital health, in developing country contexts. In scope of the study, evaluation pilot has been conducted with duration of five months. For the research purposes qualitative research methods were applied. In particular, focus group discussions (FGDs) were conducted with nurses operating in villages and with doctors providing virtual consultations. Furthermore, in-depth interviews were conducted with patients who received virtual consultations during the pilot project and partners of the project (administrators and coordinators). Overall, thirty-five respondents were surveyed via video/audio call. Convenience sampling was used for the selection of respondent patients and all administrative personnel (six persons) was interviewed. According to the opinions of respondents, multifunctional telemedicine devices improve effectiveness of telemedicine consultation. However, barriers and challenges were also revealed. More specifically, selection of right motivational system for providers, adequate training of involved personnel and well aligned schedules for consultations are needed. Moreover, communication issues (nurse-to-doctor and doctor-to-patient) also represent a challenge and require proper approaches.
FUNDAMENTAL INSTITUTIONS OF CRIMINAL LAW
Authors: Voiț Alexandra-Maria
Published: January 2024

The article entitled "The fundamental institutions of criminal law" presents a particularly generous and important theme. I will present the three fundamental institutions from a theoretical point of view and by exemplifying them practically through cases. These fundamental institutions are the main pillars of criminal law, around them gravitate all the other specialized institutions that form criminal law as a branch of law. Criminal law provides, as a consequence of committing crimes, specific criminal law sanctions that are applied to criminals through the most severe (legal) form of legal liability, criminal liability. Thus, in the synthesis of the essential features most often indicated by doctrine within the definition of criminal law, it can be appreciated as representing a branch of law that aims to ensure social defence (social order and discipline), carrying out a control of an individual’s conduct and behaviour from society to the highest degree undesirable, through the action of preventing and combating the criminal phenomenon, establishing and regulating: the categories of acts that are assessed, at a given moment, as crimes, the corresponding (legal) liability for committing them; the specific sanctions in which this legal-criminal liability is to be realized.
Standards-based Preparation for Teaching Students with Visual Impairments: An Exploration of Pre-service Special Education Teachers’ Experiences
Authors: P P ,   The Korean Society of Special Education
Published: January 2024

This study developed a 15-week short-term program specialized in teaching students with

visual impairment and explored the participation experiences of pre-service special education

teachers in the program. The researcher extracted core standards for teaching students with visual

impairments based on literature review and expert review, then collected the outcome portfolios

and in-depth interview data from eight pre-service special education teachers. The study findings

indicated that standards-based short-term activities provided practical and case-based learning

opportunities, enabling participants to acquire professional competencies for teaching students with

visual impairments. The participants gained specific knowledge and skills, including the understanding

of learners with visual impairments, expertise in teaching, and practical experience in school

settings. The study demonstrated how a standards-based approach benefits pre-service special

education teachers, providing them with authentic experiences and a solid foundation for special

education teacher preparation programs.
Functional Relationship of Serum Sodium with Heart Patients
Authors:   Department of History, The University of Burdwan, Burdwan, West Bengal 713104, India, Das Mahashweta , Das Rabindra N. ,   Department of Statistics, The University of Burdwan, Burdwan, West Bengal 713104, India
Published: January 2024

Serum sodium (SNa) is one of the principal extracellular fluid electrolytes that is necessary for balancing extracellular fluid volume and potentials across cell membranes
Wie lässt sich mobile Arbeit gesund gestalten?
Authors:   Center for Disability and Integration, Universität St. Gallen, Böhm Stephan A. , Blödorn Louisa A. ,   Center for Disability and Integration, Universität St. Gallen, Schepp Sophie T. ,   Center for Disability and Integration, Universität St. Gallen, Carls Tarek B. ,   Center for Disability and Integration, Universität St. Gallen
Published: January 2024

Mobiles Arbeiten hat auch nach Ende der Covid-19-Pandemie einen hohen Stellenwert in vielen Unternehmen. Unklar ist jedoch, wie sich die neu erlangte Flexibilität auf das Wohlbefinden der Beschäftigten auswirkt und wie die Gesundheit am Arbeitsplatz aktiv gefördert werden kann. In zwei groß angelegten Langzeitstudien wurden hierzu Schlüsselfaktoren auf individueller, Team- und Organisationsebene untersucht.
The Place of Risk Communication in the Environmental Agenda
Authors: Panova Elena
Published: January 2024

In the study the author considers the stages of formation of environmental communication, defines the main functions, key subjects and essential characteristics. Understanding the features of environmental communication directly affects the work during crises and the decisions made. The causes of environmental crises can be different: competition for resources or natural phenomena. However, the principles of responding to them are similar; first of all, there must be crisis management in place. The study examined not only the nature of the crises, but also provided typology of environmental crisis communication. Any crisis needs to be managed, and environmental communications are a key management tool. The study analyzed the impact of access to information on the quality of environmental communication, the role of traditional and new media in shaping the environmental agenda and environmental discourse. We examined the status of communicators and their level of influence on the situation, the ability of official bodies to quickly respond to unfolding crisis events. The author analyzed crisis environmental communication on the example of an incident off the coast of Kamchatka in September 2020, resulting from an algal bloom. The study investigated the interaction between different subjects, content analyzed the typology information, various levels of communication, and tools of influence. The role of scientific discourse in crisis environmental communications was studied. The result is the construction of a new model of interaction, when all participants in the process have a single goal — the stabilization of the social situation and the identification of the circumstances and the true causes of what happened. The study provided recommendations how to improve the effectiveness of environmental crisis communication.
Twenty Years of the Journal “Journal of Economic History and History of Economics” (2002–2022): Bibliometric Portrait
Authors: Shalak Alexandr , Maidachevsky Dmitry , Kuryshov Andrei
Published: January 2024

The article is an attempt at a bibliometric analysis of the scientific journal Journal of Economic History and History of Economics published by the Baikal State University since 2002. Journal of Economic History and History of Economics is one of two scientific journals in Russia (along with Economic History (Saransk)) that specialize in the problems of economic history and the history of economic thought.
The object of the study was a set of individual characteristics of the authors of the journal and articles published by them, as well as general bibliometric indicators from the RSCI database that characterize the journal as a whole. The subject of the study were the features of the presented indicators. The research methods used: a quantitative analysis of data characterizing the authors of articles and their publications, a comparative analysis of the bibliometric indicators of the journal in chronological dynamics (in the first and second decades of its existence), as well as a comparative analysis of the bibliometric indicators of the journals Journal of Economic History and History of Economics and Economic History.
We have identified the features of the first and second decades of the development of the journal expressed in such indicators as the geography of the authors, the scope of their scientific activity, the scientific directions of the journal, and the genres of publications.
We conducted a comparative analysis of the journals Journal of Economic History and History of Economics and Economic History in terms of the number of articles in the RSCI, the impact factor of the RSCI, the Herfindahl index, the integral index of journals in the SCIENCE INDEX rating, and the average Hirsch index.
The research found the correlation between the dynamics of the bibliometric indicators of the journal and the transformation processes taking place in science and higher education in Russia, as well as the special place of the journal Journal of Economic History and History of Economics in the system of national science.
Rituals and Collective Memory Construction in the Age of Social Media: A Case Study of Beijing Temple Fairs
Authors: Wen Qing
Published: January 2024

Beijing Temple Fair is a long-standing practice in Chinese folk culture. For a very long time, millions of people have enthusiastically participated in the massive and vibrant temple fairs. As media technology develops, temple fairs have developed into an online tradition or phenomena in the social media age. This article aims to explore the media as a communication carrier in the process of technological development by beginning with the theory of ritual in anthropological research, the ritual concept of communication in communication research, and the cultural memory and cultural identity of human beings themselves. This paper uses semi-structured and in-depth interviews as research methods. The study discovered that, as medium ceremony, Beijing temple fairs are well known and adored by the general public. The inclusion of social media platforms has increased the Beijing Temple Fair's depth and breadth and, to some extent, has sparked its thorough distribution and construction process.
Literary Prizes as a Factor of Overcoming the Crisis of Culture: Media and Socio-Communication Aspect
Authors: Vologina Ekaterina
Published: January 2024

Introduction. In the context of the cultural crisis and related social disorders, the issue of overcoming negative trends in the cultural environment is becoming more and more urgent. One of such negative trends is the increased influence of commercial factors on the internal processes of cultural self-regulation. The study analyzed the institutional factors of reproduction of the values of mass culture on the example of the literary sphere and examined the potential of the institute of literary awards in overcoming negative trends in the literary environment. Literary prizes are understood both as a social institution (literary awarding) and as a factor in the development of modern literature. The objective aspect of literary contests is evaluated as a possible condition for their use to overcome crisis trends in culture. Methodology. The article relies on classical methods of scientific research (analysis, comparison, abstraction, deduction, synthesis). Also, in the course of the study, the authors employed the methodology of structural functionalism. In addition, the study uses an axiological approach. Results. The article substantiates the point of view according to which the processes of literature development associated with the activities of publishing houses and online literary portals are largely due to commercial factors, which determines the orientation towards mass literary preferences. At the same time, the importance of literary awards as a social elevator for a novice writer is noted, and the potential of the institute of literary awards associated with the possibility of purposeful impact on the field of literature associated with the stimulation of certain thematic and genre areas is noted. Discussion. We assessed the significance of the theoretical model describing the indirect influence of literary prizes on social processes, and noted the debatable nature of the issue of priority directions in the development of literature through the organization of literary prizes.
Molnár Antal, Die Formelsammlungen der Franziskaner-Observanten in Ungarn (cs. 1450–1554), Roma, Frati editori di Quaracchi, 2022 (Analecta Franciscana, XIX. Nova Series, Documenta et Studia, 7.) XLIX,773 p.
Authors: Monok István
Published: January 2024

Monumentális kötet, önmagában is hatalmas érték. 510 oldal forrásszöveg, 189 oldalas német nyelvű bevezetés, táblázatok, mutatók és 37 oldalas, a korszak magyar királyságbeli obszerváns ferences provincia történetére vonatozó szakirodalom-jegyzék (822 oldalas korpusz). Nagyon fontos, hogy a ferences történetírás legfontosabb sorozatának részeként jelent meg, így a magyar ferencesekről szóló alapvető forrásoknak és magyar szakirodalomnak alkalom adódik arra, hogy a nemzetközi történettudományi térben is megjelenjen. Ennél azonban sokkal több az, amit kézbe vehetünk Molnár Antal új könyvével.
Auditory functioning of adult cochlear implant users before and during the SARS-CoV-2 coronavirus pandemic
Authors: Zawistowska Kornelia , Lorens Artur , Obrycka Anita , Skarżyński Henryk
Published: January 2024

Wprowadzenie

Wybuch pandemii i skupienie opieki zdrowotnej na całym świecie na walce z wirusem SARS-CoV-2 przyczyniły się do powstania zaniedbań w innych dziedzinach medycyny, w tym leczenia niedosłuchu. Ponadto, ze względu na panujące obostrzenia, dostęp do wypracowanych przez lata procedur rehabilitacji słuchu był utrudniony. Stacjonarne zajęcia terapeutyczne przeprowadzano przy użyciu środków ochrony osobistej, które chroniąc przed zakażeniem, jednocześnie znacząco utrudniały komunikację osobom z niedosłuchem. Dodatkowo sytuacje dnia codziennego, tj. rozmowa z kasjerem w sklepie lub z lekarzem w pokoju badań, również stały się większym wyzwaniem ze względu na wymóg stosowania, m.in. maseczek ochronnych. Celem tej pracy było sprawdzenie, czy zmiana warunków życia codziennego spowodowana pandemią wpłynęła na różnice postrzegania przez użytkowników implantu ślimakowego swoich ograniczeń w funkcjonowaniu słuchowym, a zwłaszcza w komunikacji werbalnej.

Materiał i metody

Materiał badawczy stanowiły dwie grupy dorosłych pacjentów Instytutu Fizjologii i Patologii Słuchu (IFPS) z postlingwalnym niedosłuchem, korzystających z sytemu implantu ślimakowego, po 189 osób każda, w sumie 378 osób (207 kobiet i 171 mężczyzn) w wieku od 18 do 88 lat, średnia wieku = 54. Przeprowadzono badanie porównawcze pomiędzy obydwiema grupami. Do grupy badanej zakwalifikowano pacjentów, u których w czasie pandemii, w okresie od 4 czerwca 2020 r. do 10 marca 2022 dokonano oceny postrzeganych subiektywnie ograniczeń w funkcjonowaniu słuchowym. Grupę porównawczą stanowili użytkownicy systemu implantu ślimakowego, u których ocena postrzeganych ograniczeń w funkcjonowaniu słuchowym została przeprowadzona przed
wybuchem pandemii. Do oceny funkcjonowania słuchowego wykorzystano kwestionariusz oceny korzyści słuchowych APHAB. Każdy z respondentów wypełniał kwestionariusz dwukrotnie – dla warunków „bez implantu” i „z implantem”. Analizie poddano wynik
całkowity kwestionariusza oraz wyniki uzyskane w poszczególnych podskalach składające się na ten wynik.

Wyniki

Analiza statystyczna nie wykazała istotnych różnic pomiędzy grupami w żadnej z badanych podskali dla warunku bez implantu. Z kolei dla warunku z implantem analiza wykazała istotne różnice, które dotyczyły wyniku całkowitego oraz podskali odnoszącej się do trudności w komunikowaniu się w sprzyjających warunkach akustycznych. Świadczy to o większych problemach odczuwanych przez pacjentów w trakcie pandemii. Nie zaobserwowano istotnych różnic pomiędzy grupami w pozostałych podskalach.

Wnioski

Niewielka różnica pomiędzy wynikami obydwu grup, przy znacznym wzroście trudności w funkcjonowaniu słuchowym spowodowanym wprowadzeniem maseczek i obowiązkowego dystansu społecznego, może być uznawana za sukces i dowód na skuteczność postępowania leczniczo-rehabilitacyjnego z wykorzystaniem implantów ślimakowych prowadzonego mimo trwającej pandemii.
Monitoring the negative results of listening to music using a mobile app: preliminary report
Authors: Pastucha Małgorzata , Pilka Edyta , Skarżyński Henryk , Jędrzejczak Wiesław W.
Published: January 2024

Wprowadzenie

Nowoczesne technologie, zwłaszcza aplikacje mobilne, są coraz częściej wykorzystywane w różnych sektorach zdrowia publicznego. Aplikacje te nie tylko pozwalają na szybsze umówienie wizyty lekarskiej, lecz także stanowią doskonałą bazę do podejmowania szerokich działań profilaktycznych. Widoczne jest to również w dziedzinie audiologii, w której aplikacje mobilne są coraz częściej wykorzystywane w badaniach przesiewowych słuchu czy do kontrolowania nawyków słuchowych.

Cel

Sprawdzenie za pomocą pomiaru emisji otoakustycznych (OAE), czy aplikacja mobilna w odpowiedni sposób informuje o możliwości narażenia słuchu na nadmierną ekspozycję na hałas przy zbyt długim słuchaniu muzyki. Wykorzystano aplikację HearAngel, która monitoruje muzyczne treści multimedialne odtwarzane na urządzeniu mobilnym.

Materiał i metody

Aplikację przetestowano na 1 osobie z normą słuchową, słuchającej muzyki na urządzeniu mobilnym z systemem Android. Sprawdzano wpływ długości ekspozycji muzycznej na stan narządu słuchu. W tym celu wykorzystano badanie emisji otoakustycznych (OAE). Zmierzono trzy rodzaje OAE: OAE wywołane trzaskiem (CEOAE), OAE produktów zniekształceń (DPOAE)
i emisje spontaniczne (SOAE). Do oszacowania czasu ekspozycji muzycznej posłużono się wewnętrzną miarą aplikacji – tzw. dzienną dawką dźwięku (DSA). Pomiary OAE wykonano dla: 100% DSA, 100% DSA + 10 minut, 100% DSA + 30 minut, 7 godzin.

Wyniki

Niewielkie przekroczenie dziennego limitu wyliczonego za pomocą aplikacji nie powoduje znaczących zmian w poziomach odpowiedzi OAE. Pewne różnice są zauważalne dopiero po kilkugodzinnej ekspozycji na muzykę. Największe zmiany nastąpiły w SOAE. Amplituda wszystkich SOAE spadła dla DSA + 30 minut i dla 7 h.

Wnioski

Wydaje się, że aplikacja HearAngel może być przydatnym narzędziem do monitorowania narażenia na hałas podczas słuchania muzyki na urządzeniach mobilnych. Jej działanie opiera się na pomiarach zarówno głośności, jak i czasu słuchania wybranych utworów muzycznych. Uzyskane wyniki są obiecujące i zachęcają do prowadzenia dalszych badań. SOAE wydają się najbardziej czułym na zmiany w układzie słuchowym typem OAE.
Preserving the Integrity of Li Yu's Craft Aesthetics using the Digital Information Technology
Authors: Liu Shan
Published: January 2024

Preserving the integrity of ancient aesthetic works has become a greater matter of concern in the modern digital age. As the internet is streaming with data that are collected from multiple sources, it imposes a severe threat to the integrity and security of the original aesthetic of many craft works. This paper proposes a novel framework that attempts to preserve Li Yu's craft aesthetics, which can be explored from his wide range of literary collections. As the author is popular for his excellence in many art forms like gardening, theatre arts, etc, recreation of his work is a major problem of concern. The framework initially pre-processed the corpus to extract keywords, which are then subjected to a semantic vector to find the closely related as well as differing words. Then, these words are subjected to geometric perturbations to impart versatility to the training phase. The text under screening is fed to the classification phase to find whether it is an altered or modified work of Li Yu, thus isolating the author's work from being reproduced, which greatly affects the aesthetics. As a future extension, the work can be trained with different classifiers to develop a defrauding system.
An Automatic Vehicle Routing and Tracking Technique Based on Video and Image Processing Techniques
Authors: Et. al. V. S. N. Kumar Devaraju,
Published: January 2024

In this research work an advanced route tracking application is designed based on video and image camera stabilization technique. The initial input video can convert the images and contain noise as well as extreme distortions. Therefore the following elements can affect the route tracking as well as mis-information gathering. In this paper a multi-media tool based mute tracking application is introduced to obtain mad condition as well as route features. The initial images are filtered by using adaptive median filter to minimize the noise. After filtration road condition can easily identified and separate the target and background, moreover the boundary conditions helpful for extracting the neighborhood target images. The following process is working based on angle, derivative-path and curvature calculations. After this primary process, preview image can be obtained on the screen, according to this the driving speed can be controlling to front wheel rotations. The random pursuit matching algorithm controls the later information and realization. The experimental outcomes show that proposed application has been helpful for driver less vehicle tracking easily. This investigation had been verified on various references speeds and managed with 0.04 meters.
A real-time High-Quality image snow removing using Adaptive Matched filter
Authors: Et. al. V. Subba Ramaiah,
Published: January 2024

On this paper, we advocate a green set of rules to remove snow or rain from single color photograph. Our set of suggestions takes benefit of famous strategies employed in photograph processing, specially, dictionary studying & image decomposition. At the beginning, a mixture of guided smooth out & snow/rain detection is utilized to decompose input picture right proper into a harmonizing pair: (1) low-frequency element, which is free of rain nearly in truth and (2) immoderate-frequency difficulty, which includes now not superb snow/rain problem but moreover a few or probably many data of photo. Then, we hobby on extraction of photograph’s are information from excessive-frequency detail. To this save you, we lay out a 3-layer hierarchical system. In the number one layer, an over-whole vocabulary is skilled and 3 categorizations are completed to categorize immoderate-frequency trouble into snow/rain &non-rain/snow additives wherein a few common tendencies of rain/snow have been applied. Inside the 2d one layer, every other grouping of guided filtering & snow/rain detection is finished at snow/rain detail attained inside primary layer. In 1/3 layer, SVCC is calculated to decorate visible high-quality of snow/rain-eliminated image. The efficiency of our set of guidelines is examined thru each subjective and goal strategies, which indicates a superiority over several extremely modern day works.
A PIC controlled based heart rate miniaturization using GSM
Authors: Et. al. Shaik Irfan Babu,
Published: January 2024

We used advanced technologies in this module to track patients suffering from heart failure and physical disorders. As a consequence, a heart rate sensor and a temperature sensor are utilized to track the patient. Sensors provide precise results, obviating the need for conventional medical instruments such as thermometers and other devices. GSM modem is used to transmit messages from the patient's position to the medical advisory. This module relieves medical advisors of the burden of patient monitoring while also allowing patients to travel about freely.
A Fuzzy Based Grid Maintenances and Load Balancing Technique for Feature Applications
Authors: Et. al. D. Harsha,
Published: January 2024

In a Mobile Ad Hoc Network, this article suggests a Fuzzy dependent power scheduling and load balancing strategy for ZRP (MANET). The duty-cycles of border nodes are adaptively modified using this method, which takes into account the queue condition, expected residual capacity, and distance to border nodes. The nodes are active throughout each round and then go into sleep mode depending on the calculated duty-cycle time. When the load reaches a certain threshold, the zone leaders (ZL) are updated adaptively.
A Collaborative Hybrid Recommendation System With Sentimental Analysis For Rumour Detection
Authors: Et. al. K.Arulmozhi,
Published: January 2024

In online social networking rumours play a vital role to judge and decide everything. Rumours and Comments are considered to be the opinions of public but most of the rumours are not true and relevant. In the proposed system a hybrid recommendation system with collaboration of sentimental analysis is introduced for eliminating the fake and unwanted rumours.  This collaboration model helps to cluster and classify these types of rumour attacks and form a chain link from these predictions to eliminate the rumour. Furthermore the system also projects a verification model to find whether it is a rumour or not.
An Evaluation Framework and Analysis of Auto Assessing the Programming Courses during the COVID-19 Pandemic
Authors: Et. al. Dr.J.Dhayanithi,
Published: January 2024

Covid-19 pandemic changed the traditional working dimension of many sectors. Many sectors are still struggling and facing many difficulties to change their current working environment to adapt the Covid-19 pandemic. Education sector is foster in adapting this pandemic and change their teaching learning process from face-to-face methodology to remote learning. UNICEF reported that approximately 800 million learners got affected due to the spread of COVID-19. This outbreak makes a paradigm shift for many educationists from schools to colleges. The educationists are still fighting to survive this pandemic and introduce different approaches to enhance the teaching learning process. This paper presents a framework for auto assessing the programming courses using MOODLE learning management system with the support of four activities (quiz, debugging, fill the missing code and programming). The proposed framework was analysed with the help 176 students enrolled for Python Programming Courses. The grades acquired by all the students areanalysed and the result shows that student programming skill is drastically increases by using this auto assessment framework. The student perception on auto assessment framework was analysed based on the survey conducted with students. The survey responses clearly state that this kind of auto evaluation framework is helping the students to increasing their learning interest in any programming courses. Suggestion on adapting this kind of auto assessment framework in other programming courses is also presented
Automated Disease Inference For Community Health Care Using Graph Induced Neural Network
Authors: Et. al. M.Dhanamalar,
Published: January 2024

One of the main problems in the area of community health care is to identify the disease based on the symptoms and lack of medical vocabulary among the users. There are limited number of doctors and medical practitioners available in these forums. The lack of medical professionals requires an automated solution, but this solution must be capable of bridging the vo- cabulary gap between the users and the medical terms. Therefore a simple medical information retrieval and file sequencing might not be the solution, we need a system capable of processing natural language and convert the necessary terms to a suitable medical term thus leading to accurate disease inference. There are many excellent text mining algorithms that are available such as GRU and LSTM , these algorithms work excellently on health records and documents with accurate description of diseases. The community data is very vast and more relatable to the data which will actually be used in day to day usage of the algorithm. Graph based algorithms have been widely used fr natural language processing, with neural network’s capability or retention of good information and elimination of noise can actually be of a great use.
A Statistical Analysis of Impact of Risk Factors Causing Lung Cancer among Non-Smokers
Authors: Et. al. Dr. S.Senthil,
Published: January 2024

Most survey reveals that 40% of cancer deaths are caused by Lung cancer. It is very unfortunate that even the drinking water contaminants may aggravate lung cancer when contaminated water is consumed regularly. Among various carcinogens polluting water arsenic is proved to more hazardous in triggering lung cancer by modifying DNA through genetic mutations. Measure of levels and percentages of carcinogens present in drinking water can direct the research to analyse how the domestic drinking water turns as a killer by causing life threatening problem of lung cancer. The research is carried out with patient data of non-smoking persons who aggravated lung cancer with prolonged usage of arsenic polluted water for drinking and few other factors like childhood pneumonia, genetical history, poor diet and carcinogens in working environment. Chi-square test is performed with non-smoking patient data record and results are evaluated with the discussion of preventive measures.
A Novel Multikernel Convolutional Neural Network Classification For Pedestrian Detection In Crowded Scenes
Authors: Et. al. M. Angel Shalini,
Published: January 2024

Pedestrian detection is a basic challenge in image processing, and there are many practical applications in the fields of robotics, video surveillance, autonomous driving, and vehicle safety. However, this is still a daunting problem due to the huge differences in lighting, clothing, color, size, and posture. A pedestrian detection method based on MKCNN (Multi-kernel Convolutional Neural Network) classifier is implemented in this paper. High accuracy is achieved by automatically optimizing the feature representation of neural network recognition and regularization problems. We evaluated the proposed method in a complex database that includes pedestrians in an urban environment without being restricted by posture, motion, background, and lighting. Experiments using the pedestrian data set of the California Institute of Technology show that the use of MKCNN can improve detection accuracy. Using the CNN model, our pedestrian detection method provides a higher detection performance for the Caltech dataset.
Architectural-Landscape And Artistic-Technical Modernization And Visualization Of The Territories Of The Tashkent-Samarkand Railway
Authors: Et. al. Uralov Axtam Sindarovich,
Published: January 2024

The article highlights some results of scientific and practical research carried out on the modernization of architectural and landscape, artistic and technical visualization of territories along the Tashkent-Samarkand railway, which is one of the important international tourist routes of Uzbekistan.
Development Of Innovative Activities Of Enterprises On The Basis Of Vertical Integration Processes
Authors: Et. al. Mullabayev Baxtiyarjon Bulturbayevich,
Published: January 2024

Thanks to the introduction of modern management strategies in the world, the scale of the effective use of vertical integration in innovative development of the industry is expanding. Therefore, the article deals with the introduction of modern innovative management strategies, the improvement of the organizational and economic mechanisms of processes ranging from the primary raw material to finished products, the effect of exogenous and endogenous factors affecting the production process, and the development of an effective organizational-economic mechanism of innovation activities of industrial enterprises about Developing scientific recommendations and practical recommendations aimed at improving the efficiency of the management of vertical integrated industrial enterprises based on innovation development.In the study, statistical analysis, experimental evaluation, economic mathematics, regression and correlation analysis, factor analysis methods.The relevance and accuracy of the approaches and methods used in the research is determined by the fact that the statistical data is based on the data of the State Statistics Committee of the Republic of Uzbekistan and other officially published data, and the relevant conclusions,
FUZZY ALGORITHM FOR ADAPTIVE IMAGE CONTRAST INCREASING НЕЧЕТКИЙ АЛГОРИТМ АДАПТИВНОГО ПОВЫШЕНИЯ КОНТРАСТОВ ИЗОБРАЖЕНИЙ
Authors: Et. al. D. T. Muhamadiyeva,
Published: January 2024

A fuzzy algorithm for adaptive enhancement of image contrasts is considered, which is a characteristic of how wide the spread of the colors of image pixels is.  The greater the spread of the pixel color values, the greater the contrast of the image.  The main disadvantages of images, in most cases, are distorted brightness characteristics and low contrast.  Therefore, the work is devoted to improving the contrasts of the image and converting the image to this form, which makes them more contrasting and, accordingly, more informative.
The Items Development of Social Skills for Autism Spectrum Disorder (SS-ASD) Instrument
Authors: Et. al. Zuraida Ibrahim,
Published: January 2024

Currently, there is a need to develop a reliable and valid social skills observation instrument in monitoring the progress of social skills among students with ASD in teaching and learning within school setting. This is because positive and acceptable social skills are very important aspects for students with ASD. Moreover, students with ASD who hold a strong foundation in social skills shown an improvement in academic, independent living and social acceptance by the society. The instrument was based on structured observations and there were three steps involved: (a) instrument selection, (b) item selection, and (c) validity and reliability instrument. These steps were to ensure the development of instrument was appropriate to specifically measure the progress of social skills within specific domain namely: social interaction, social communication, emotional intelligence and social behavior. The instrument was namely as “Social Skills for Autism Spectrum Disorder (SS-ASD)”. Accordingly, the SS-ASD was given to 2 subject experts and 1 curriculum specialist to establish content validity and face validity. Hence, the SS-ASD instrument had established construct validity through homogeneity (internal consistency) by calculating the value of Cronbach’s alpha (α) through pilot study data.  Finally, the Cronbach’s Alpha value for SS-ASD was 0.986 and it was highly reliable. The SS-ASD were developed suitable for children between ages 3 to 12 years old as a criterion-based instrument. Hopefully, its help students with ASD establish proficiency in social skills that create social acceptance and independent living in the future for students with ASD.
Effects of Jigsaw and Traditional Methods of Instruction with Complex Input on Vocabulary Improvement-A Repeated Measures Study
Authors: Et. al. B. Sivakami,
Published: January 2024

Students’ interest in improving their repertoire of vocabulary and the habit of reading for pleasure and profit seems to have reached a nadir in the current era of social media. As a consequence, students tend to display noticeable inadequacy of comprehension and communication. Several research projects have been carried out to find out suitable methods to enrich and enhance the vocabulary repertoire. The researchers have attempted the present study to find out whether using complex passages and different instructional methods to teach vocabulary enhances learning and internalization of the target vocabulary. Jigsaw, a student-centered method of instruction and the traditional method of instruction were adopted for both the groups and the design followed was repeated measures. The paired t test of the data collected shows invariably the unavailing nature of both methods of instruction and complex input on students’ vocabulary. This research work concludes that teaching methods tend to have insignificant impact on vocabulary enhancement when complex input passages are chosen.
A Study of Trend of Price/Net Operating Revenue and Earnings Yield of Selected Public Sector Companies in India
Authors: Et. al. Dr. Jyoti Prasad Kalita,
Published: January 2024

The study's aim is to uncover the Trend of Price/Net Operating Revenue and Earnings Yield of Selected Public Sector Companies in India. The analysis of variance is used in the analysis to determine the trend difference in Price/Net Operating Revenue and Earnings Yield of public sector companies. The research takes into account a variety of financial ratios from firms in the Maharatna and Navrtana categories. Study’s findings are extremely helpful to investors in determining the financial strength of PSUs. It has a huge effect on public-sector expenditure decisions.
Energy Efficient Floating Point Fft/Ifft Processor For Mimo-Ofdm Applications
Authors: Et. al. C. Padma,
Published: January 2024

There are several methods to accomplish Fast Fourier Transform and Inverse Fast Fourier Transform processor for multiple inputs multiple output-orthogonal frequency division multiplexing applications. It requires high performance and low power implementation methodologies for reducing the hardware complexity and cost. In conventional fixed point arithmetic calculation is complex to utilize because the dynamic range of computations must be limited in order to overcome overflow and under flow problems. This paper presents floating point arithmetic optimization technique to implement radix-2 butterfly structures for the reduction of complex multipliers presented. Implementations of 32 bit floating point multiplier and floating point adder are presented by using single precision and compare the synthesis results with conventional system. In order to reduce the error we used floating point arithmetic for the butterfly structure. Energy efficient multiplier based on modified booth algorithm is used in radix-2 butterflies. By adopting this architecture the FFT/IFFT implementation using Xilinx FPGA Vertex-7 will improve the 25% logic utilization and the reduction in space utilization. Using arithmetic reduction the power delay product for radix 2 butterfly is reduced by 2.5% compared to normal implementation.
Automated Evaluation of Telugu Text Essays Using Latent Semantic Analysis
Authors: Et. al. M Varaprasad Rao,
Published: January 2024

The most productive strategy to improve students' ability to write is to have direct and as much as possible teacher input. However, the workload of the teacher is greatly increased. Automated systems are increasingly required to help students write essays. In the field of educational assessment technology, automated test evaluation is becoming more and more common. We present a framework that is modelled on the programme, following which the school-teachers in the BPDAV School and Govt. High School Hyderabad, Telangana, India present the automatic evaluator of student essays in the Telugu language. Language skills; the structure of the essay and the contents that fit the subject are the principal requirements for evaluating the essays. In this context, we have established a scheme focused on latent semantical analysis and the theory of rhetorical structure. The method has been evaluated in more than 600 different essays, written in different manuscripts by schoolchildren. Overall0.82 with the teacher's assessment was achieved in our method.
The Calculations Of Sociological Situation From Indonesia Spontaneous Law During The Coronavirus Pandemic
Authors: Et. al. Suriansyah Murhaini,
Published: January 2024

This study shows the impact of the Large-Scale Social Restrictions in the Context of Accelerating the Handling of Coronavirus Disease 2019 (Covid-19) policy on tourism in Borneo Island. Collective behaviour theory was implemented to evaluate the socio-economic impacts of the community, and the in-depth interviews were aimed at the leader of Indonesia tourist guide association, the leader of the Indonesia association tourism bureau and agents in Central Borneo, the leader of the tourism community and a questionnaire were carried out for local people affected by the closure of tourism destination. The results showed that the policy causes controversial behaviour of social interaction. The tourism community is more concerned with hunger than Covid-19, and their activities turn to collective behaviour. A group of people are fleeing tourism work but arranging themselves to meet their daily needs, thereby encouraging or resisting social change by the government.
Automatic Sentiment Analyser Based on Speech Recognition
Authors: Et. al. Dr G Neelimal ,
Published: January 2024

Analysis of the Emotion of a person has been developed over the earlier period decades. The majority of the works in it spun over text emotion analysis content analyzing strategies. Yet, audio emotion analysis opinion is in the beginning phase of the research network. Our work presents the study of various algorithms of sentiment analysis to identify Emotion by dissecting the acoustic highlights of an individual's voice. The direction of study on datasets and the strategies which are utilized to recognize feeling through voice and actualized the framework to distinguish the best structure for the errand fully expecting and conveying it in a future application.
Increased Sensory Inputs Through Productive Learning Tasks To Enhance The Short-Term Memory Capacity: An Alternative To Nootropics
Authors: Et. al. Chawasit Pattaraphongplin,
Published: January 2024

Nootropics are drugs that have been used as cognitive enhancers that many take to improve memory and mental alertness. However, taking any type of drug is likely to be associated with some risk either physiologically or psychologically. This study offers an alternative approach to this excess reliance on medication, that is the use of increased sensory inputs through productive skills to enhance the short-term memory capacity. There are times when a short attention span and an ineffective retention ability are caused by unengaging instructional approaches, not physiological factors.An experimental study was conducted among 50 high school students whose ability to remember a set of 10 distinct numbers was tested in two different settings: receptive learning through auditory and visual stimuli and productive learning through auditory and kinesthetic stimuli. The results showed that by incorporating the productive skills (i.e., speaking and writing), students’ short-term memory of the numeric informationwas improved significantly at the statistical level of 95%. It therefore suggests that before deciding to take any medication, the first attempt to be made to help students concentrate more on learning and enhance their memory capacity is to intensify sensory inputs through the productive skills, rather than leaving them exposed only to the receptive tasks.