bluuebunny/crossref_metadata_2025 huggingface dataset:
Viscous Gravity Algorithm for Clustering Multidimensional Data
Authors: Golovinsky Pavel , Tarasova Anna
Published: January 2024

Clustering is one of the first standard steps for big data analysis. It is necessary for further solving problems of classification and group forecasting. We study a viscous modification of the gravitational data clustering algorithm (VGSA), which develop already proven approach. Individual data records are considered in VGSA as points in multidimensional space, between which a paired central attraction acts. The masses of the interacting points are assumed to be the same, which corresponds to the specifics of clustering, in contrast to the problem of finding the optimal value of the objective function, in which the masses of particles increase as they approach the extremum. The choice of the type of pair interaction depending on the proposed data structure is discussed. The presence of high viscosity lowers the order of the dynamic equations of motion by excluding acceleration from them. The obtained shortened equations define the stable motion of the system, which guarantees the reproduction of the results when the algorithm is restarted. The stability of the system of equations is proved using the Lyapunov function, which is an analogue of the physical potential energy. Turning off the interaction of particles at small distances between them provides an automatic mechanism for hierarchical clustering at different stages of the algorithm with the final formation of a single cluster. The relationship between VGSA and the operating principle of Kohonen's self-organizing maps, which corresponds to the gravitational redistribution of test particles, is traced. The performance of the algorithm has been tested on the database in comparison with the methods of K-means clustering, Kohonen maps and the standard gravity algorithm. The speed and accuracy of clustering were evaluated. The conclusion is made about the advantage of applying VGSA to big data, taking into account the automatic determination of the number of clusters, the possibility of correction when updating records, and inaccurate data specification.
Mathematical Modeling Using Multiple and Fully-Connected Linear Regressions
Authors: Bazilevskiy Mikhail
Published: January 2024

This article is devoted to the synthesis of traditional multiple linear regression models with fully connected linear regression models. It has been noted that these models, in a certain sense, complement each other — the disadvantages of multiple regression are compensated by the fully connected one, and the disadvantages of the fully connected one are compensated by the multiple one. Multiple regression estimates with partial multicollinearity of factors are unstable, and with complete multicollinearity they do not exist at all. There are no obstacles to the use of fully connected regression in such conditions, and its estimates, on the contrary, do not exist in the complete absence of linear dependence between factors. The estimated fully connected regression is an equation of a line in space, as opposed to a multiple regression, which is a hyperplane in space, so you can find estimates of a fully connected regression with only two observations at your disposal. An algorithm for estimating fully connected regressions using the maximum likelihood method is considered. Based on a sample size of 21, a multiple and fully connected linear regression of passenger rail traffic in the Irkutsk region was constructed, containing 23 input variables. During the construction process, it was possible to cope with multicollinearity and ensure protection of all input variables in the model. The constructed multiple and fully connected regression is adequate and fully satisfies the substantive meaning of the problem being solved, therefore its interpretation is given. Based on the results of the study, we can conclude that a combination of multiple and fully connected regressions can be very effective in solving data analysis problems.
Egy velencei nyomtatású szerb antikva a Todoreszku-gyűjteményből és possessorai
Authors: Golub Xénia
Published: January 2024

Nemzeti könyvtárunk egyik legnagyobb adományozója, Todoreszku Gyula (1866−1919) gyűjteménye az utóbbi években jubileumai kapcsán többször is a tudományos figyelem homlokterébe került. A magyar nemzet iránt elkötelezett, román származású, ortodox vallású gyűjtő értékes szláv cirillika gyűjteményéből egy ősnyomtatványt és 28 antikvát őriz nemzeti könyvtárunk, melyek közül a közlemény egy velencei nyomtatású szerb antikva történetéhez szolgál adalékokkal tulajdonosi jegyei, bejegyzései alapján.
Gian Michele Bruto magyar történetei
Authors: Petneházi Gábor , Kasza Péter
Published: January 2024

Gian Michele Bruto (1517–1592) 1574-től egészen haláláig írta monumentális magyar történetét. A Rerum Ungaricarum libri Magyarország 16. századi hanyatlásának és bukásának a történetét dolgozta egyetlen narratívába, az eredeti megbízó, Báthory István erdélyi fejedelem majd lengyel király szándékai szerint azzal a céllal, hogy politikai ellensúlyt képezzen a bécsi udvarral szemben, az európai közvélemény felé pedig egy önálló, alkotmányos Magyarország képét reprezentálja. Bár egy változat már 1584-ben bizonyosan elkészült, a mű Báthory életében mégsem jelent meg. Brutus 1587-ben előbb Habsburg szolgálatba állt, majd 1591 végén Erdélybe utazott, mert hírt kapott egy ott készülő kiadásról. 1592 májusában azonban meghalt Gyulafehérváron. A hányatott sorsú munkát az erdélyi udvar még ki szerette volna adni az 1590-es években – Szamosközy István ekkor írt hozzá folytatást, illetve a hozzá került kéziratokat kiadható állapotba hozta – de ez a kiadás sem valósult meg.

A mű első kiadása csupán a 19. században jöhetett létre a Monumenta Hungariae Historica Scriptores sorozatában: a szöveget két erősen sérült és megcsonkult 16. századi kézirat alapján Toldy Ferenc rendezte sajtó alá. Az így kiadott szöveg az eredeti műből valamivel több, mint tizenhárom könyvet tartalmaz.

2020-ban Trentóban egy szinte hiánytalan, húsz könyvből álló, szerzői javításokkal telezsúfolt Rerum Ungaricarum libri-kéziratot fedeztünk fel. Az immáron három kézirat filológiai vizsgálata révén a szöveg négy különböző szerkesztési fázisát tudtuk megkülönböztetni, amelyből hármat Brutushoz, a negyediket pedig Szamosközy Istvánhoz kötöttük. A tanulmány a kéziratok filológiai összevetésén túl feltárja Brutus művének fordulatokban gazdag keletkezéstörténetét is.
Kulttuuripoliittisen keskustelun kerrokset ja vaikuttamisen ketjut
Authors: Tammisto Hanna
Published: January 2024

Kolmitasoinen analyysi purkaa kulttuuripoliittisesta keskustelusta eroteltavia paikallisia ja historiallisia kerroksia, vallankäyttöä erilaisina puhuntoina ja ajankohtaisten politiikkatavoitteiden kehystyksinä. Aineistona on taiteen ja kulttuurin asiantuntijoista koostuvan työryhmän keskustelu siitä, miten sosiaalinen kestävyys on miellettävissä kulttuuripoliittisena tavoitteena. Pyrkimyksenä on kuvata, miten yhteinen tilannekuva ja yhteisymmärrys tilanteessa luodaan. Taiteen ja kulttuurin toimijoiden keskinäinen kulttuuripoliittinen keskustelu on erityisen kiinnostava tutkimuskohde ajassa, jossa moninaisen sektorin toimintaympäristö ja jokapäiväiset rakenteet, edunvalvonnan painopisteet ja julkisen rahoituksen kriteerit ovat aktiivisessa muutoksessa ja moniäänisen poliittisen kamppailun kohteena. Analyysi jakautuu vuorovaikutuksen tilanteellisen dynamiikan ja työryhmän jäsenten puheenvuorojen analyysiin; yksittäisten ilmaisujen ja niiden retoristen tehtävien analyysiin; sekä keskustelua kehystävän laajemman kulttuuripoliittisen keskustelun, eri taiteenlajien ja toimialojen arkisen todellisuuden ja olosuhteiden analyysiin. Tuloksena on kuvaus siitä, millaisiin alakohtaisten diskurssien, tiedon lajien ja retoristen perinteiden muodostamiin pitkiin ketjuihin työryhmän jäsenten puheenvuorot kiinnittyvät.
Meniere's disease – pathogenesis, diagnosis, non-surgical treatment possibilities and related controversies: review
Authors: Rusinowska Barbara
Published: January 2024

Choroba Ménière’a, zwana także wodniakiem błędnika bądź wodniakiem endolimfatycznym, to choroba przewlekła charakteryzująca się tetradą objawów – zawrotami głowy, szumami usznymi, postępującym upośledzeniem słuchu i uczuciem pełności w dotkniętym uchu. Występuje z częstością 50–200 na 100 000 dorosłych, z większym odsetkiem u kobiet. Choć choroba została opisana i powiązana z uszkodzeniem ucha wewnętrznego już w 1861 r. przez francuskiego lekarza Prospera Ménière’a, to jej etiologia wciąż nie jest do końca poznana. Znane są przypadki rodzinnego występowania choroby, jednak u większości osób zaburzenie to pojawia się w sposób sporadyczny. Przypuszcza się, że na wystąpienie patologii mogą składać się czynniki genetyczne i środowiskowe. Według licznych badań naukowych do potencjalnych przyczyn można zaliczyć: mutacje genetyczne, zaburzenia autoimmunologiczne, zaburzenia hormonalne i choroby wirusowe.
Dotychczas nie osiągnięto międzynarodowego konsensusu w sprawie postępowania diagnostycznego i terapeutycznego w chorobie Ménière’a, co jest źródłem kontrowersji. W diagnostyce i prognostyce choroby Ménière’a dużą rolę odgrywa audiometria tonalna, jednak mogą być także stosowane takie badania jak: wideonystagmografia, test fotela obrotowego, test przedsionkowych miogennych potencjałów wywołanych, posturografia, vHIT, elektrokochleografia, a coraz większe znaczenie mają badania obrazowe rezonansem magnetycznym, w tym MRI 3D FLAIR. Istnieje kilka różnych algorytmów postępowania w leczeniu choroby Ménière’a. W ostrych atakach choroby Ménière’a zastosować można leki przeciw zawrotom głowy (leki przeciwhistaminowe, benzodiazepiny, leki przeciwcholinergiczne) i środki przeciwwymiotne (metoklopramid i domperidon). W przewlekłej terapii i prewencyjnie według rekomendacji ważne jest zastosowanie odpowiedniej diety uwzględniającej większą podaż wody oraz ograniczenie spożywania soli, kofeiny i alkoholu, a także zastosowanie rehabilitacji przedsionkowej i słuchowej. W farmakoterapii wiele schematów uwzględnia także stosowanie batahistyny, diuretyków oraz dobębenkowych iniekcji sterydów i gentamycyny. W przypadku braku powodzenia leczenia farmakologicznego jako ostatni rzut można rozważyć leczenie chirurgiczne – labiryntektomię i neurektomię przedsionkową. Niektóre zalecenia uwzględniają też terapię PPT, jednak wymaga ona dalszych badań w celu potwierdzenia swojej skuteczności. W pracy przedstawiono patogenezę, diagnostykę i niechirurgiczne możliwości leczenia choroby Ménière’a, a także kontrowersje związane z tymi obszarami.
Cochlear implantation in children with congenital malformations of the mastoid process
Authors: Porowski Marek , Skarżyński Henryk , Skarżyński Piotr H.
Published: January 2024

Wprowadzenie

Zastosowanie implantów ślimakowych z dostępem przez okienko okrągłe pozwala na zachowanie resztek słuchowych u dzieci i dorosłych. Niekiedy nieprawidłowa anatomia uniemożliwia typowy dostęp przez zachyłek nerwu twarzowego. W takich przypadkach elektrodę czynną implantu należy wprowadzić w alternatywny sposób, bez wykonywania tympanotomii tylnej. Sposób ten umożliwia również wszczepienie implantu przez okienko okrągłe z zachowaniem struktury ślimaka. Celem pracy było przedstawienie procedury chirurgicznej stosowanej u pacjentów z wadami wrodzonymi obejmującymi wyrostek sutkowy, gdzie dostęp poprzez tympanotomię tylną nie był możliwy.

Opis przypadków

W pracy przedstawiono opis postępowania chirurgicznego podczas implantacji ślimakowej dwójki dzieci z wadami wyrostka sutkowego (znaczne przodowanie zatoki esowatej oraz hypoplazja wyrostka). Wady te uniemożliwiały wykonanie tympanotomii tylnej. Zastosowano dostępy omijające, a elektrodę czynną implantu przeprowadzono do ucha środkowego przez otwór wykonany w ścianie tylnej przewodu słuchowego zewnętrznego, na różnej wysokości. W obu przypadkach elektrodę wprowadzono do ślimaka przez okienko okrągłe. W przebiegu okołooperacyjnym oraz pooperacyjnym nie stwierdzono powikłań chirurgicznych. Wykonane po operacji badania obrazowe potwierdziły prawidłowe położenie elektrody w ślimaku. Audiometria tonalna potwierdziła zachowanie resztek słuchowych u starszego dziecka.

Wnioski

W wadach wyrostka sutkowego w postaci aplazji, hipoplazji lub znacznego przodowania zatoki esowatej należy rozważyć zmodyfikowany dostęp omijający zachyłek nerwu twarzowego. Metoda jest bezpieczna oraz pozwala na wprowadzenie elektrody czynnej implantu przez okienko okrągłe.
An evaluation of the hearing benefits following the use of the Oticon Ponto bone conduction implant
Authors: Skarżyński Piotr H. , Dziendziel Beata , Włodarczyk Elżbieta , Skarżyński Henryk
Published: January 2024

Wprowadzenie

System Oticon Ponto (Oticon Medical AB, Askim, Szwecja) wprowadzono na rynek w 2009 roku. Od tego czasu skuteczność systemu Ponto była opisywana w literaturze przedmiotu w odniesieniu do wyników audiologicznych, oceny śród- i pooperacyjnych zdarzeń niepożądanych, a także stosowanych różnych technik chirurgicznych. Niewiele wiadomo na temat skuteczności systemu Ponto w kompensacji mieszanego niedosłuchu ze znacznie podwyższonymi progami przewodnictwa kostnego. Celem pracy jest ocena korzyści słuchowych po zastosowaniu implantu Oticon Ponto w grupie pacjentów z mieszanym ubytkiem słuchu.

Materiał i metody

Na podstawie przyjętych kryteriów do retrospektywnej oceny włączono wyniki dorosłych pacjentów (8 kobiet i 8 mężczyzn), poddanych operacji wszczepienia systemu Ponto w Instytucie Fizjologii i Patologii Słuchu (IFPS) w latach 2015–2020. Korzyści słuchowe oceniono na podstawie wyników audiologicznych: audiometrii tonalnej, audiometrii progowej i słownej w polu swobodnym oraz baterii narzędzi samoopisowych.

Wyniki

W obserwacji rocznej wyniki audiologiczne wykazały znaczną poprawę słyszenia. Średnie progi słyszenia w polu swobodnym w Ponto uległy istotnemu obniżeniu w porównaniu do stanu sprzed operacji (przed operacją vs 12 miesięcy: t = 15,57; p < 0,001). Średni wynik dyskryminacji mowy w warunkach ciszy dla natężenia 65 dB SPL wzrósł o 74%. Wyniki kwestionariuszy samoopisowych wykazały zmniejszenie problemów związanych z niedosłuchem oraz poprawę jakości życia po implantacji.

Wnioski

System Oticon Ponto wydaje się zapewniać efektywną kompensację niedosłuchu typu mieszanego ze znacznie podwyższonymi progami przewodnictwa kostnego u większości operowanych pacjentów.
A Study On Reviewer Characteristics On E-Commerce Applications
Authors: Et. al. Bhumati.Pavani,
Published: January 2024

Online testimonials have actually really come to be an essential source of information for customers before making an enlightened procurement decision. Early endorsements of a point typically have a tendency to have a high end result on the being successful item sales. In this paper take the task to have a look at the regimens characteristics of very early consumers utilizing their uploaded evaluations on considerable ecommerce systems. Below quantitatively define extremely early consumers based upon their score routines, the helpfulness rankings obtained from others as well as additionally the link of their assessments with item charm. Right here discover that to start with an exceptionally very early customer typically tends to note a greater normal ranking score; as well as also 2nd of all a very early client generally has a tendency to release much better statements. Our analysis of product analyses additionally reveals those exceptionally very early clients' ratings along with advises a one-of-a-kind margin-based embedding variation for truly really early customer forecast. In addition to moreover boosted the version with ranking and also additionally pre-owned two thinking’s for spammer expedition. One is if precise same Statement along with different user ID's under particular similar category/product with accurate exact same tally. Substantial experiments on 2 different ecommerce datasets have actually revealed that our assessment exceeds a series of inexpensive demands.
Upqc Based Solar Grid Maintained System For Variable Power And Voltage Conditions
Authors: Et. al. Adr.P.Lakshmi Supriya,
Published: January 2024

This research shows that utilization of unified power quality Modified conditioner (UPQMC) to wipe out power quality matter. The solar PV board through a boost modifier is coordinated at the direct current-connection of UPQMC. To remove the power reflections from existed methods and extreme power losses from PV boards can be adjusted using UPQMC. The UPQMC comprises of the combination of shunt circuit also arranged the inverter (INV). The voltage concentration, power & quality (PQ) issues, swell, sag, peak shoots are trained, by the arrangements of INV network. For administration with the current related issues, for example current balancing, resonance stability, etc are managed by the shunt INV is utilized in UPQMC. Thus the UPQMC performs multiple tasks, for example, the voltage connected issue, paek overshoot, stability, irradiance, issues. The demonstration of solar based PV coordinated UPQMC is impersonate & utilized with power reproduction programming
Counterfactual Thinking among University Students
Authors: Et. al. Karrar Sahib Ibrahim Al Radhi,
Published: January 2024

The importance of the research stems from the importance of its variables and the scarcity of Arab and local studies on them, and from the importance of the research sample - university students - who are considered among the most important segments of society, as the research community consisted of (23,353) students from the morning study for the academic year (2020-2021), As for the research sample, it consisted of (467) male and female students, with a percentage of (2%) from the research community, and to measure the research variables, the researcher prepared a measure of counterfactual thinking, and to identify the results of the research objectives, the researcher used the Statistical Analysis Package (SPSS), which showed a high level of Counterfactual thinking among university students, and based on the results reached, the researcher presented a set of conclusions and recommendations as well as proposals.
Solutions Of Boundary-Value Problems For A System Of Differential Equations Of The Fourth Order With The Method Of Finite Differences
Authors: Et. al. Olimov Murodillo,
Published: January 2024

The paper considers a system of fourth-order ordinary differential equations. The system of equations is written in vector form. Computational algorithms are presented using the finite difference method with an error of O(h2). The resulting algebraic equations are solved by the matrix sweep method. Exact and approximate solutions of test problems are given. And also the errors of the considered numerical method are estimated.
The Specific Factors Influencing The Intention Of Electronic Government Services For Libyans
Authors: Et. al. Zaied Shouran,
Published: January 2024

This study aims to analyze the influences of Libya's eGovernment servicesand provide a comprehensive model. The analysis classifies eGovernment adoption in three models: intentions to use eGovernment services, eGovernment readiness model and user’s satisfaction model.A quantitative methodhas been used and questionnaires have been distributed to Libyan citizens online using google form. With its structural equation modelling methodology, 554 responses have been gathered from Libyan citizens by empirically checking the concept. Using PLS packagein the Rprogram for analyzing the data. The main challenge for Libyans is what the critical determinants of their adoption of eGovernment are? Based on an extensive review of relevant literature, ﬁve hypotheses are formulated. Some factors are identiﬁed that may affect the Libyans' level of satisfaction towards using the Libya eGovernment services.Based on multiple linear regression and factor analyses, our empirical analysis demonstrates several key ﬁndings. These ﬁndings indicate the intention of using eGovernment services and website design as a moderator the key drivers of user’s satisfaction so as to provide feedback in a set of recommendations that will enable creating eGovernment services which are compatible with citizens' needs, desires, and expectations. Also, we found that user satisfaction is affected by eReadiness and Intentaion to use variables by 64.27 percent and the remaining 35.72 percent was influenced by other variables. Finally, implications and recommendations of these ﬁndings were discussed.
Estimation of the Parameters of Mixed Frechet Distribution and Its Employment in Simple Linear Regression
Authors: Et. al. Ahmed Dheyab Ahmed,
Published: January 2024

Probability distribution is important to those who are interested in the subject of mathematical statistics, so in this research a probability function of the mixed distribution Frechet-Frechet was formed and its parameters were estimated using maximum likelihood and moment methods. These methods are applied on real data which represents the number of cancer cases in Iraq for the years (1991-2016).
FDI and Economic Growth in SAARC Countries: An Empirical Analysis
Authors: Et. al. Ahsanuddin Haider,
Published: January 2024

Foreign Direct Investment (FDI has been considered as a powerful weapon of globalization with double edge that cuts both ways mean it impacts positively and negatively. Its impacts positively by supporting the host country’s economy in terms of capital inflows and up-to date technology but FDI also affect the host country by overexploiting its resources. Despite all these thing, this capital provides an opportunity to underdeveloped and developing countries by providing to access new markets, advance technology, cost effective production facilities and more investment opportunities. It is a two way mechanism for both the countries first, from where FDI comes and second where FDI is invested in form Greenfield and Brownfield. For the host country, it is a new way to economic development. This chapter has been investigated the effect of FDI on economic growth of host country and effect of economic growth on FDI by applying  regression analysis and found that that the overall model is positive and significant at 5 percent significance level for seven countries namely Afghanistan, Bhutan, India, Maldives, Nepal, Pakistan and Sri Lanka. However, for Bangladesh the model is found to be insignificant, at second stage, ADF test is employed to data for Stationarity check. ADF calculations indicate that both the variables are stationary at level and first difference at 1 percent level of significance; however few exceptions are there, at the final stage.
Resourceful Fast Discrete Hartley Transform to Replace Discrete Fourier Transform with Implementation of DHT Algorithm for VLSI Architecture
Authors: Et. al. Deepti Gautam,
Published: January 2024

Discrete Fourier Transform (DFT) is used in a range of digital signal processing applications, such as signal and image compression systems, filter banks, signal representation or harmonic analysis. The Discrete Hartley Transform (DHT) can be used to effectively replace the DFT when the input sequence is real. This paper introduces and applies the Discrete Hartley Transform (DHT) algorithm, which is well suited to the VLSI architecture. The purpose of using the DHT algorithm is to reduce the complexity of the VLSI architecture. With the introduction of VLSI architectures, 100,000 transistors can be mounted on a single chip. For manufacturers, the verification of these circuits on breadboards is not feasible. Computer-aided design methods have now come into being, but programmers also had to make connections manually at the gate level. Subsequently, Hardware Description Language (HDL) such as Verilog and VHDL came into being. With the integration of the DHT algorithm and its execution, Verilog authors have worked to reduce the complexity of the VLSI circuits in this article. With reduced complexity, the power consumption is reduced and thus the area is therefore reduced. DHT is an algorithm for the Radix-2. It is especially useful for image and signal processing. The DHT algorithm for length N=8 is introduced here.
Pandemic Covid-19: Android Application "Mh Mobile" Is A Solution For Leprosy Patients
Authors: Et. al. Ronal Surya Aditya,
Published: January 2024

Leprosy has not disappeared; this old disease still exists today in our country. Eliminating leprosy requires extra effort, one of which is using technology. Human activity in modern times uses technology. One of the technologies that everyone has is a smartphone. The challenge during a pandemic condition is that it is very risky for people with leprosy if they have to go to a community health center or hospital.  This research was conducted with a quasi-experimental design with a pre-post control group design with a sample size of 70 people. The intervention was carried out using the media in the form of the android application "MH Mobile" in the treatment group. Change in Knowledge and adherence as measured by a validated questionnaire. The questionnaire was measured before and after the intervention and then tested using the Wilcoxon and Mann-Whitney tests.  Statistical analysis showed that there was an effect of MH Mobile on knowledge and adherence (p = 0.000). There were significant changes in the two groups between before and after the intervention. The MH Mobile android application can be an effective means of providing education about leprosy as an effort to increase knowledge during the pandemic era 19
A Secure Communication With One Time Pad Encryption And Steganography Method In Cloud
Authors: Et. al. Lalit Kumar,
Published: January 2024

Cloud computing is a framework for suitable on demand network admittance to a mutual pool of computer resources. Cloud computing is a model for delivering services as per the demand related to information technology over the internet. It is a type of internet-based computing by which client pay for using the services. A client sends a request to the cloud server, server respond to his request and deliver on demand services. The inflamed attack in the cloud surface makes it extra susceptible to prevailing and emerging security threats. Predictable cloud data prevention and security approached have been initiated unable in anticipation of such threats and this distasteful trend has compelled the need of revolutionary approach to cloud data security. Blowfish Encryption and Steganography already had established techniques of data security. This Research work possess an amplify approach to safeguarding data security by combining both of the proven techniques. The united methodology is aimed to leveraging the strength of these two proven techniques to attain a robust mechanism of confirming security in cloud data.
Mining User Generated Contents in Online Healthcare forum using Text Mining Techniques
Authors: Et. al. M. SuryaPrabha,
Published: January 2024

The development of online health care forum patients and health seekers can access the Internet and get health related information through their social media blogs and health care forums. These forum users are involved to post emotional based messages and health related posts. In this forum enormous amount of emotional based messages posted by different stakeholders that are patients, caregivers and healthcare experts. In this online healthcare forum patients /healthseekers post a question. Peers who reply to the questions asked that replies are based on more emotions oriented messages. For analyzing these messages to find the adoption based answers , Stakeholders and Topic identification in the messages and Sentiments (emotions)  to the messages. For this Framework we use various text mining  methods as preprocessing , NLP methods ,and Machine learning algorithms as SVM- RBF(radial Basis Function) Classification , K-medoid clustering method and Lexicon Data Analysis (LDA) is used .In this paper Medhelp online healthcare forum messages were taken up for analysis.
Application Of Horadam Polynomial On Sakaguchi Type Bi-Univalent Functions Satisfying Certain Subordination Constraints
Authors: Et. al. Balakrishnan Senthil,
Published: January 2024

In this current investigation, we apply Horadam polynomial to establish sharp upper bound for the second and third coefficient of functions from new subclass of sakaguchi type bi-univalent functions defined in the open unit disk .  Also, we discuss Fekete-Szego inequality for functions belongs to this subclass.
Genetic Algorithm Based Fuzzy Local Informationc-Means (Gaflicm) Clustering Algorithm And Hybrid Kernel Convolution Neural Network (Hkcnn) With Distributed Processing Framework For Brain Mri Images
Authors: Et. al. Vigneshwari K,
Published: January 2024

Cancer is the large important origin of casualty in today world. Among many cancers, brain cancer has been becomes one of the lowest living rate. It is formed based on the brain tumor. However brain tumors are able to have diverse categories based on their shape, texture, and position. Appropriate identification and retrieval of the tumor types create potential the doctor to compose the right cure option and assist keep the patient's life. Image processing has gained wide attention in medical analysis and health in recently. In general image processing methods, brain Magnetic Resonance Imaging (MRI) image collections cannot be processed efficiently on one computer due to large collection sizes and high computational costs. Hence, parallel computing and distributed system has been performed increasingly for brain MRI images in recently.  In this paper, a novel Medical Image Cloud Processing (MICP) based distributed processing framework is proposed for brain MRI images by lesser computational time. In this work, image preprocessing is done by using the Adaptive Median Filtering (AMF) and image enhancement by Histogram Equalization (HE). The proposed MICP framework includes of Static Medical Image Cloud Processing (SMICP) and Dynamic Medical Image Cloud Processing (DMICP). In MICP framework, SMICP consists of two methods called Pure-Image and Big-Image. These methods are integrated to Genetic Algorithm based Fuzzy Local Information C-Means-MapReduce (GAFLICM-MR) algorithm to attain more optimized design and higher effectiveness. The core design of GAFLICM-MR framework is to make use of the rich computing resources given by means of the distributed system consequently as to apply efficient parallel processing. GAFLICM algorithm is also used as brain tumor segmentation in MRI images. In MICP framework, DMICP is developed via a parallel processing process of the distributed system. For retrieval and detection of brain Magnetic MRIimages into normal and tumor, Hybrid Kernel Convolution Neural Network (HKCNN) is developed in this work. Finally the results of the HKCNN classifier are compared to other previous works like precision, recall, f-measure, accuracy, time and memory.
A Comparative Study On Faculty Perception On Online And Offline Teaching
Authors: Et. al. Ms.R.Nithya,
Published: January 2024

Change is the only thing that remains constant.Pandemic has created lots of changes in all the sectors.This is especially true in case of education sector. In ancient times, Gurukula system of education was followed in India, in which anyone who wished to study went to a teacher's house and requested to be accepted as their student. The modern education system was brought to India where the curriculum was confined to “modern” subjects.All through the years classes were conducted in physical environment.Due to advancement of technology many changes have taken place in education sector.The concept of e-learning was introduced but not been made as compulsion.But in this Pandemic due to shut down of colleges as there are no possibility for physical classes, online classes in digital platforms have been chosen to avoid disruption in studies for the students. Adaptability to changing scenario is a great task.A sudden drastic shift from physical classes to online classes has been faced by faculty members.Hence it becomes need of an hour to understand faculty’s opinion about online classes. Therefore, an attempt has been made here to study the perception of faculty over online and offline classes. Faculty members of Shri ShankarlalSundarbaiShasun Jain College for Women has been chosen for the purpose of study.Questionnaires were circulated and tools like Mean,t-Test and One-way ANOVA were used to analyse the data collected.
Efficient Non-Isolated DC-DC Converter Using Variable Switching Frequency Control
Authors: Et. al. Praful V. Nandankar ,
Published: January 2024

A load adaptive high efficiency dc-dc converter with optimized switching control is proposed in this paper. The converter is controlled through the switching frequency auto-tuning over a full range of load changes. The load current tracking using a single current sensor is implemented with real-time computation of the desired switching frequency. It presents the latest algorithm to adopt the loading condition while keeping the output voltage constant. The algorithm is employed with a low-cost microcontroller having the capability to maintain dynamic performance through DPWM operation. In different operational conditions and with varying parameters, the converter continually retains the higher switching frequency. This proposed AFO (Adaptive frequency Optimization) controller performance is presented through simulation using MATLAB/SIMULINK and results are verified on a 100W DC-DC converter.
Implementation Of Low Cost Classroom Education Using The Smart Pi Zero
Authors: Et. al. P.Srividya Devi,
Published: January 2024

The Raspberry Pi and its editions have brought with them an aura of amendment in the global of embedded structures. With their amazing computation and verbal exchange capabilities and low footprint, these gadgets have thrown open the chance of figuring out a network of things at some stage in a very fee-efficient manner. At the same time as such networks offer accurate solutions to super issues, they may be honestly a long way from being clever. Most of the currently available implementations of one of these community of gadgets involve a centralized cloud-based totally server, which helps to make the necessary sensible selections, leaving those devices underutilized. Although this paradigm offers a quick and easy solution, it has limited scalability, is less robust and sometimes proves costly. As the technology increases day by day there came many changes even in the home automation system in the present-day world and everything can be managed with the help of raspberry pi. This paper presents a minicomputer using Raspberry Pi which can play videos, power point presentation.
The Influence Of Hrm Practices On Job Satisfaction - The Mediating Role Of Organizational Commitment: Case Of Federal Authority For Identity And Citizenship (ICA) UAE
Authors: Et. al. Mohammad Hassan Alhammadi ,
Published: January 2024

The impact of HRM practices on employee satisfaction has been a leading area of research in the developed world for many years, while organizational commitment has not been studies in government sector in Unite Arab Emirates (UAE).The aim of this study is to examine the mediation role of organizational commitment on the association between HRM practices and job satisfactionin Federal Authority for Identity and Citizenship (ICA) in UAE using quantitative methods. The result of this study showed a high degree of model fit between HRM practices, organizational commitment, and job satisfaction as well as organizational commitment partially mediates the relationship between HRM practice and job satisfaction. This result lead to a final conclusion that HRM practices, organizational commitment, and job satisfaction are fundamental variables to the success of public and private organizations. Various organizations can benefit from the outcome of this study by knowing the employees level of satisfaction. For the employees indirectly helps them to convey their expectations regard this project highlights the scope for future improvement in above requirements provided to the employees.
A Comparative Study on the Environmental Awareness and Environmental Attitude among the Undergraduate Students
Authors: Et. al. Dr. Moyuri Sarma,
Published: January 2024

The increase in comprehensive abilities, alertness and sentience towards the biophysical environment and the issues comprising of human interactions and its consequences is known as environmental awareness. Environmental Attitude is the degree of favour or disfavor towards the natural environment. They are latent construct and therefore we cannot observe them directly. The growth of development of awareness, understanding and consciousness towards the biophysical environment and its problems, including human interactions and its effects is known as Environmental Awareness. In other words it means thinking ecologically or in terms of ecological consciousness. The paper aims to study the environmental awareness and environmental attitude among under graduate students and investigates if there is a significant difference between the students of Commerce and Arts streams in terms of their awareness and attitude towards the environment. It is hypothesized that there is no significant difference between the students of Commerce and Arts streams in terms of their awareness and attitude towards the environment. For the purpose of this descriptive study, the investigators have selected a sample of 46 students, (16 in Commerce and 30 in Arts) of the Under-graduate level, from 2 Degree Colleges located within the Guwahati City. Purposive sampling and Simple Random Sampling are used to determine the colleges and the sample respectively. Moreover, the tools used for collecting data are (i) Taj Environmental Attitude Scale by Dr. Haseen Taj and (ii) Environmental Awareness Test by Dr. K. Yeshodhara. t-test has been applied to determine the level of significance of the test results. After analyzing the data, it has been found that there exists a significant difference between the two groups in terms of their awareness towards the environment.  However, there is no significant difference between the Commerce and Arts students in terms of their attitude towards the environment
The evolution of Blockchain and it’s adoption
Authors: Et. al. Nilesh Jain ,
Published: January 2024

A blockchain is at its core a spread data set of exchanges and records, alternatively state it as a public record of the multitude of exchanges and digitals occasions that have occurred even once between the sharing gatherings. Each execution in the public record or you can call it as an open record is checked and confirmed by generally most of the individuals holding the public record. Once input, data can’t be erased. The blockchain contains guaranteed and obvious record noted of every  exchange made anytime.  The Bitcoin, happens to be the most standard model that uses blockchain innovation. The advanced type of cash bitcoin itself is astoundingly faulty anyway the major blockchain innovation has worked immaculately and found huge extent of employments in both the worlds, monetary and non-monetary.

The fundamental thought behind blockchain is the establishment that it sets for a framework where a conveyed lion's share is needed in the online computerized world. This encourages anybody needing to take an interest to check if a specific exchange occurred ever. You can modify Public Ledger holding of a couple or state a couple of more than that however won't have the option to fulfill the rest and henceforth the occasion would perhaps come up short. Blockchain has made it conceivable to build up a non-inclination, open and versatile advanced economy for incorporated type of frameworks also.

This entire paper would tell you the pro et contra of the Blockchain Technology and furthermore, it's applications in the monetary and non-monetary world. We will likewise discuss the different chances that Blockchain Technology has opened up for different organizations and would definitely be an innovation that would acquire the upset in the period of Internet.
Development and Application Design of PALVoSoS Model For Junior High School Students With Intellectual Disability: A Case Study in Sidoarjo – Indonesia
Authors: Et. al. Vendyah Trisnaningtyas,
Published: January 2024

Persons with Intellectual Disabilities need help in overcoming their limitations to face life independently. This study aims to develop a project-based action learning model for junior high school students with intellectual disabilities to improve and practice life skills. The main product is designing an action learning project model that integrates learning at the junior high school level, especially vocational skills in making cookies and social skills in project learning. The development model uses the ADDIE model. The data analysis technique is divided into two stages. Analyzing data from expert test results on the developed product model, expert judgment data were analyzed using the Content Validity Index (CVI) formula. Second, data analysis of learning outcomes, namely vocational skills, makes cookies according to the number of students using the n-Gain test to determine the model's effectiveness on student learning outcomes. Based on expert validation and trial results, the resulting model follows the learning needs of junior high school students with intellectual disabilities. The results show that the action learning project model's design meets the requirements for learning, especially for junior high school students with intellectual disabilities. Overall, the authors conclude that learning with the vocational and social skills action learning project model can be implemented and can improve learning outcomes.
Ceiling Component Analogous Least Appears In Row Or Column Distribution Method To Evaluate Enriched Network Design
Authors: Et. al. S. Saravana Kumar,
Published: January 2024

In this research article, suggested methodology namely Ceiling Component Analogous Least Appears in Row Or Column Distribution Method is warranted to decide the feasible solution with respect to minimize the cost from the necessary reasonable elucidation set for the shipping tribulations. The recommended methodology is a unique way to achieve the practicable (or) may be best possible elucidation without disturbing the degeneracy condition for the unbalanced networks.
Customer Review on Confidence, Readiness and Security in Electronic Commerce
Authors: Et. al. Yousef A. Baker El-Ebiary,
Published: January 2024

Nowadays, the world of technologies is evolving. We used to do business within big companies and now, there is e-commerce. The revolution of e-commerce is only just getting started. Over the next few years, e-Commerce is predicted to be widely accessible. E-commerce would have a significant effect on the formation of a truly mass-market phenomenon. It will also have a profound impact on the way trade is done by each person and company. In addition, e-commerce is responsible for implementing digital interactive TV that will bring further e-commerce beyond the realms of PC literacy. The fact that e-commerce is a future way of business really change the landscape of business. The proliferation of e-commerce companies saw the rise of the worldwide number of online companies. Consumers are now opted for business online, which in contrast to conventional transactions is dramatically convenient. E-commerce firms have, in any case, more advantages compared to conventional brick and mortal companies, but the difficulties and problems facing e-commerce businesses cannot be missed. This study illustrated the difficulties and problems of e-commerce and a range of solutions. Trust, readiness and protection are among the problems. Proposed solutions are proposed for each of the problems and challenges. Alibaba Group for example also face this common challenges. Alibaba Group being chosen in this case study as Alibaba was exceptionally skilled in establishing credibility. Despite its revealed vulnerability in intellectual property rights, Alibaba keep on continued give efforts to create credibility and will help to facilitate the evolution of e-commerce platform. Such attempts have made Alibaba is a standard model for e-business but overall, the challenges in this study are collected among all e-commerce platform, not only Alibaba Group.
Left Maximum Minimum Cost Ideal Process -Secure and Unhinged Grid in Haze Computing
Authors: Et. al. S. Janani,
Published: January 2024

In this article, proposed method namely Maximum Minimum LeftAllotment method is applied to seek the feasible solution with respect to Cost Optimization from the basic feasible solution set for transportation problems. The proposed algorithm is a different way to obtain the feasible (or) may be optimal (for some extant) solution without anxiety of degeneracy condition.
Modified Image Segmentation Schemes for Detection & Identification of MRI Brain Tumor Infection
Authors: Et. al. Shrikant Burje,
Published: January 2024

Nowadays an advancement in the medical field has an additional contribution to the human health care system. Many of the time, it cannot be possible to predict MRI brain tumor with naked eyes and unable to identify the disease stage. The patient may lost their live due un accurate and delayed diagnosis. Only CT scan and MRI cannot identify the disease, required supporting soft computing tools (PSO -particle swarm optimization) to diagnose with high accuracy. To perform accurate detection and analysis of the infected tumor, need some additional technical effort. The proposed concept suggests an algorithm using soft computing to identify infected regions of brain tumor along with its comparison with other existing image segmentation method. Result analysis shows that the result obtained with the proposed method are superior to existing segmentation techniques.
A Study on Impact of Green Human Resource Management Practice on Organizations Performance Affecting Increased Sales and Profits in IT Sector in Bangalore
Authors: Et. al. Rashi Baliyan,
Published: January 2024

In the term of implementing the performance of an organization, Human Resource Management leads a heavy part in this field for making the crucial strategies and decisions. This provides the organization to maintain and develop its sustainability culture. The main motive of Green Human Resource Management is to stimulate sustainable development through Human Resource Management. In the terms of development, the activities of Green HRM (Green Human Resource Management) are spreading realization among the workers and the employees by adopting new strategies in the work field such as saving energy at workplace, implementation of E-HRM, work from home and mostly taking precautions to protect the mother environment. From the past few years, the rate of global concerns has increased in the matter of environmental matters..
The Perspectives Of Business And Of Cost Issues That Are Considered In Strategic Sourcing From Malaysian Organizations
Authors: Et. al. Wang juan,
Published: January 2024

This paper analyzes human resource management techniques, including human resource outsourcing, and the size of the human resources organization. One of HRM techniques is defined as "facilitation," "accumulation," and "utilization." To meet the needs of HR outsourcing, the data for the report was compiled from feedback from 232 entities, which included 113 organizations participating in the outsourcing process. The results indicate that companies focus on outsourced HR functions while they have an emphasis on employee empowerment and performance improvement through facilitative management strategies. Concurrently, companies use HR contracting, which often leads to a decrease in the scale of the HR staff. Therefore, it is of critical importance that the organisations conduct thorough and thoughtful exploration of outsourcing of HR within their organizations. The level of HR functions within the company is anticipated to be significantly diminished if HRM strategy is pursued as an Outsourcing helps their consideration of HR departments to get ahead of HRM strategies.