bluuebunny/crossref_metadata_2025 huggingface dataset:
The Influence of Confucianism and Daoism on the Changes of Chinese Painting Theories
Authors: Yu Huang Chieh
Published: July 2022

Ovaj članak objašnjava karakteristike kineske estetike kroz osnovne koncepte izvornog konfucijanizma i izvornog daoizma. Ove teorije promatraju estetske aktivnosti kao cjelinu integriranu s kultivacijom života. No, konfucijansko gledište vjeruje da se od pojedinca do države sklad između svih ljudi i imperijalne moći može postići glazbenim obrazovanjem. Daoističko gledište vjeruje da napuštanje sekularnog utilitarnog mišljenja može ukloniti sve prepreke razvoju ljudske prirode i povezati ljudsku prirodu s prirodom radi postizanja duhovne slobode. Ovaj je pristup postao proces umjetnikove težnje za najvišim umjetničkim dostignućem. Za daljnje objašnjenje, ovaj članak predstavlja teorije slikara figura Gua Kaizhija i Xiea Hieja, te teorije pejzažnih slikara Gua Xija i Jinga Haoa. Promjena od slikarstva figura do pejzažnog slikarstva nije samo posljedica utjecaja političke stvarnosti, već i razvoja teorije umjetničkog stvaralaštva utemeljene na idealnom području koje zastupaju konfucijanizam i daoizam.
From shensi to jingjie: the Method of Artistic Imagination and the Highest Aesthetic Realm
Authors: Sernelj Téa
Published: July 2022

U članku se ispituje sadržaj i značenje kineskog estetskog koncepta shensi i njegov odnos prema pojmu najvišeg estetskog područja (jingjie). Duhovnu kontemplaciju ili umjetničku uobrazilju (shensi) temeljito je istražio Liu Xie (465. – 522.) u svom teorijskom radu o književnom pisanju Književni um i rezbarenje zmajeva u 6. stoljeću. Ovo je djelo prva sustavna teorija umjetničkog stvaralaštva u klasičnoj kineskoj estetici. Međutim, estetsku teoriju jingjie-ja prvi je istražio Wang Changling (698. – 756.) tijekom dinastije Tang, ali ju je dalje razvio Wang Guowei (1877. – 1927.) na pragu 20. stoljeća, što se smatra početkom modernizacije kineske estetike. Članak detaljno istražuje oba koncepta i argumentira da je shensi zapravo estetska metoda koja vodi do postizanja najviše estetičke sfere (jingjie) kada se uspješno primjenjuje i pojavljuje u umjetničkom procesu i samom umjetničkom djelu.Keywords
Über den Protagorasʼ Homo-mensura-Satz – Versuch einer theologischen Betrachtung
Authors: Džinić Ivo
Published: July 2022

Članak tematizira i problematizira izvorno značenje Protagorina slavnog gesla o čovjeku kao mjerilu svih stvari te načine njegova tumačenja u filozofijskoj tradiciji. Autor se potom s teološkog gledišta pokušava približiti ovome geslu, kao i oblicima njegova tumačenja, polazeći od svih izazova teologijskog razmatranja pojedinih filozofema. Utoliko on razotkriva moguće suodnose između Protagorina gesla i teološko-antropološke tradicije te upućuje na relevantnost nekih njegovih segmenata za suvremenu teološku misao. Slijedom dominantnih novodobnih strujanja pretežito subjektivističke konceptualizacije gesla homo mensura, kao i njegova doprinosa privatizaciji istine i negiranju njezine objektivnosti, ono ne samo da treba nego usto i podupire primjereno, općeznanstveno, a time i teologijsko razmatranje.
Philosophising with Children Worldwide about Nature, Natural Values, and Pollution
Authors: Kim Hyeongjoo , Prust Christian , Sukopp Thomas
Published: July 2022

Istraživanje predstavlja rezultate našeg međunarodnog, interkulturnog i empirijskog istraživanja. S djecom iz različitih zemalja i društvenih konteksta filozofirali smo o prirodi, onečišćenju i održivosti. Prije nego što predstavimo ključne nalaze našeg empirijskog istraživanja, izlažemo koncept filozofije za djecu (Philosophy for Children – P4C). Što je P4C? Koji se oblici P4C-a obično zagovaraju? Kako i za što ga koristimo? Tumačenja naše empirijske studije mogu se sažeti na sljedeći način: onečišćenje dotiče i pokreće djecu diljem svijeta, izaziva široke emocije i vrednuje se kao važan problem. Djeca razmišljaju o intrinzičnoj vrijednosti prirode i izražavaju patocentrične i vulnerabilističke poglede prema ljudima, životinjama i prirodi. Konačno, djeca različitih kultura opravdavaju različite razine kazne za okolišne prekršitelje.
Der praktische Schluss im Teleologie-Kapitel von Hegels Wissenschaft der Logik
Authors: Montecinos Fabio Sergio
Published: July 2022

Poglavlje o teleologiji tumači se kao mjesto gdje se u prikazu eksplicitno pojavljuje prvi oblik »praktičkog silogizma«. Taj je oblik karakteriziran okolnošću da predstavlja dokidanje mehaničke nužnosti putem slobode koja odgovara proizvodnji artefakata unutar objektivne sfere. Tumačenje se zasniva na općem poimanju pojmovnog učenja po kojem je antinomija sloboda/nužnost sustavno središnja. Stoga se pokušava ocrtati osnovne linije ovog viđenja, a ujedno i raspravljati o specifičnostima »praktičkog silogizma« u poglavlju o teleologiji. Time bi se mogle rasvijetliti mogućnosti – kao i kritične nedostatnosti – ovog čisto instrumentalnog oblika pojmovne relacije s objektivnošću. Problem se u konačnici prosljeđuje na daljnju razinu učenja o pojmu.
Backward-Angle (u-Channel) Meson Production from JLab 12~GeV Hall C to EIC
Authors: Li Wenliang
Published: July 2022

The recent exclusive backward-angle electroproduction of
\omegaω
from Jefferson Lab Hall~C electron-proton fixed-target scattering
experiments above the resonance region hints at a new domain of
applicability of QCD factorization in a unique
uu-channel
kinematics regime. Thanks to this effort, the interest in studying
nucleon structure through uu-channel
meson production observables has grown significantly. In the fixed
target configuration, the uu-channel
meson electroproduction observables feature a unique interaction
picture: the target proton absorbs nearly all momentum induced by
virtual photons and recoils forward, while the produced mesons (such as
omega or pions) are left behind almost at rest near the target station.
In this presentation, We provide a summary of the key observations of
the existing uu-channel
meson production results, update-to-date theory insights, and a path to
further exploration from JLab 12 GeV Hall~C program to the future
Electron-Ion Colliders.
A new method to extract the valence transversity distributions
Authors: Anselmino Mauro , Kishore Raj , Mukherjee Asmita
Published: July 2022

A new method is suggested for the extraction of
uu-quark
and dd-quark
transversity distributions, using single spin asymmetry (SSA) data in
semi-inclusive deep inelastic scattering (SIDIS) processes, where they
couple to the Collins or the di-hadron fragmentation functions. We
discuss a recent suggestion to extract the transversity distribution
using the concept of difference asymmetries and their ratios, which
avoids the requirement of Collins function. We suggest new measurements,
involving ratios of polarized cross-sections, that would directly probe
the ratio h_1^{d_v}/h_1^{u_v}h1dv/h1uv.
We also show some numerical estimates.
Open strange meson $K^\pm_1$ in hot and dense nuclear matter
Authors: Kumar Rajesh , Kumar Arvind
Published: July 2022

Using the unification of the chiral SU(3) model and QCD sum rules, we
deduce the in-medium properties of K^\pm_1K1±
meson. Within the chiral SU(3) model, medium modified gluon and quark
condensates are evaluated through their interactions with the scalar
fields (\sigmaσ,
\zetaζ,
\deltaδ,
and \chiχ).
These condensates are further used as input in the Borel transformed
equations of QCD sum rules to evaluate the in-medium mass of strange
K^\pm_1K1±
meson. The in-medium property of the above meson can be used to study
the restoration of chiral symmetry in nuclear matter.
Measurement of splittings along a jet shower in $\sqrt{s} = 200$ GeV pp collisions at STAR
Authors: Kunnawalkam Elayavalli Raghav
Published: July 2022

Jets are algorithmic proxies of hard scattered partons, i.e. quarks
and gluons, in high energy particle collisions. The STAR collaboration
presents the first measurements of substructure observables at the
first, second and third splits in the jet clustering tree via the
iterative SoftDrop procedure. For each of these splits, we measure the
fully corrected groomed shared momentum fraction
(z_gg)
and groomed jet radius (R_gg).
We discuss the evolution of jet substructure in both the angular and
momentum scales which allows for a self-similarity test of the DGLAP
splitting function. We compare the fully corrected data to Monte Carlo
models, providing stringent constraints on model parameters related to
the parton shower and non-perturbative effects such as
hadronization.
Proton reconstruction with the Precision Proton Spectrometer (PPS) in Run 2 and the PPS at HL-LHC
Authors: Ferro Fabrizio
Published: July 2022

The Precision Proton Spectrometer (PPS) started operating in 2016 and
has collected more than 110 fb^{-1}−1
of data over the course of the LHC Run 2, now fully available for
physics analysis. This contribution covers the key features of the PPS
alignment and optics calibration, which have been developed from
scratch. The reconstructed proton distributions, the performance of the
PPS simulation and finally the validation of the full reconstruction
chain with physics data (dilepton events) are also illustrated.
First measurement of the forward rapidity gap distribution in pPb collisions at 8 TeV
Authors: Sosnov Dmitry
Published: July 2022

We present the forward rapidity gap spectra from proton-lead
collisions for both \mathrm{I\!P}IP-Pb
and \mathrm{I\!P}IP-p
topologies measured at the CMS at a center-of-mass energy of 8.16 TeV.
For the \mathrm{I\!P}IP-Pb
topology, the cross-section predicted by EPOS-LHC is a factor of two
lower than the data while has reasonable description of the spectrum
shape. For the \mathrm{I\!P}IP-p
topology, the EPOS-LHC, QGSJET~II and HIJING predictions are
significantly lower than the data, what can be explained by a
contribution of ultra-peripheral photoproduction events. The obtained
data may be of significant input for understanding the high energy limit
of QCD and modeling cosmic ray air showers.
Epidemics and Vaccination Dilemma in Complex Networks: A Case Study of Kosefe and Shomolu Local Government Area Lagos Nigeria
Authors: Isabella Odis Adaora
Published: July 2022

Vaccination is undoubtedly one of the foremost important preventive measures of modern times; epidemics are feared as one of the most damaging phenomena in human societies. Aim: The thesis unveiled how the interplay between the probability of infection, vaccine effectiveness, and cost gives rise to non–linear responses in vaccine uptake. The study design was a cross-sectional descriptive study that used pretested closed-ended questionnaire that was distributed to the respondents. The sample size of 375 was adopted, which was calculated from the target population using the Cochrane formula for sample size calculation. Parents/guardians that strongly believe politicians should be role models that encourage vaccination were 61.87%, while 50.67% of mothers/caregivers were not sure if there is still a link between MMR vaccination and autism. The majority of parents/guardians (55.47% + 29.87%) strongly agree plus agree that media reports on vaccination programmes encourage them to vaccinate their children. 32.80% strongly agree, and 22.40% agree that the media exaggerates reports about disease outbreaks. Conclusion: The level of education plays an important role in the level of knowledge and attitude towards epidemics and vaccination. Income and Cost of vaccines affect vaccination uptake because of the present economic situation in Nigeria. Media plays a key role in vaccination campaigns, awareness, and intervention and should be promoted more to achieve the goal of ensuring all children are vaccinated properly. Doctors and Public Health Nurses have a major role to play in terms of influencing parents/guardian’s vaccination uptake.
Knowledge, Attitude and Practices of Infant and Young Child Feeding Practices Among Caregivers in Ekiti State (A South-Western State) in Nigeria
Authors: Adesanmi Raymond Ade
Published: July 2022

The knowledge of caregivers is an important factor when it comes to the maintenance of both the nutritional status of children and protection of their nutritional needs to ensure a sound foundation and secure future of any healthy society. This research thus aimed at investigating the trends in Infant and Young Child Feeding practices for children aged 0 to 23 months to evaluate how the nutrition education and counselling received during contact with health workers have contributed to the Knowledge, Attitudes and Practices of the caregivers regarding appropriate nutrition in Ekiti State. The assessment was done using a cross-sectional survey method, and FAO’s guideline for assessing nutrition related KAP5 was adopted and used. Cochran’s equation was used to calculate the sample size, and three households were randomly picked in each political ward. Data was collected and analysed using EPI Info 7. 94.3% of the respondents breastfeed their children on demand, and 47.2% of the mothers had skin contact with their babies after delivery. 78.2% believed that exclusive breastfeeding is very good. 68.2% believed that their children could get diarrhoea from the use of a feeding bottle. 88.3% are aware that 5-9 months are the appropriate age for the introduction of semi-solid and solid food. There is a high level of knowledge, attitude and practice among the caregivers and an improvement was observed in most of the infant and young child feeding practices in Ekiti State.
The use of Polymer Recyclates in the Technology of Concrete Composites Production
Authors: PIETRZAK A.
Published: July 2022

Abstract. The paper presents a short literature review related to the possibility of using various types of post-production or post-use waste in concrete technology. The main focus was on polymer waste, namely polyethylene terephthalate, polyethylene and polypropylene, and rubber waste.
Sustainable Buildings – Thermal Sensations Case Study
Authors: DĘBSKA L.
Published: July 2022

Abstract. Currently, thermal comfort is becoming one of the most important aspects of human life. It is related to the time people spend in a closed environment. That is why it is so important to study this issue in terms of their actual thermal sensations, in order to better understand and clarify the scope of the relevant parameters, in particular by looking for such data for buildings built with a view to sustainable development. They are to meet all standards, ensuring thermal comfort for people staying in them. The article discusses thermal sensations, thermal preferences, and humidity for the group aged 21-25 in the winter in the Energis building belonging to the Kielce University of Technology. The methods that were used for this purpose include an environmental measure that takes microclimate parameters and questionnaires assessing the conditions in the room under study.
Analysis of the Physicochemical Properties of The Ti6Al4V Titanium Alloy Produced by the Plastic Working Method and the SLS Method
Authors: KIERAT O.
Published: July 2022

Abstract. This work compared the physicochemical properties of the Ti6Al4V titanium alloy produced by plastic working and selective laser sintering. The corrosion behavior of materials was analyzed in terms of their application in medicine, particularly in implantology. For this purpose, corrosion resistance tests were carried out in Ringer’s fluid. The microstructural analysis of these materials was performed – before and after corrosion tests using the KEYENCE VHX-7000 digital microscope. Phase analysis of these materials was performed using a SEIFERT T-T X-ray diffractometer.
Impact of TNT Storage Time on Its Physicochemical and Explosives Properties
Authors: DYLONG A.
Published: July 2022

Abstract. The Polish Armed Forces have very sizable stocks of explosive ordnance, of which some have exceeded the allowable service life. From the point of view of ageing and acceptable ways of disposal, some high explosives cannot be used if they have been stored for years. That is why studies are performed on the safety of utilizing such kinds of explosive ordnance. During the storage period, high explosives' physical and chemical parameters deteriorate. For example, the sensitivity of such materials increases, resulting in them becoming dangerous. Therefore, diagnostic tests to determine the quality of high explosives for further use (extending the exploitation period or referral for disposal) are conducted. The main goal of this work was to compare how the effect of the ageing process impacts the physical and chemical properties of high explosives and those containing 2,4,6-trinitrotoluene in particular. Many factors effectuate the quality of the stored high explosives, e.g. acidity, melting point, decomposition temperature, friction- and impact sensitivity. The authors investigated high explosives from selected mines produced in different periods and compared these results with those obtained from testing mines of previous years.
Empirical Model of the Rail Head Operational Crack on the Example of a Head Check Defect
Authors: ANTOLIK L.
Published: July 2022

Abstract. The paper presents a method and the results of the CT test of the head check defect, which commonly occurs in rails. It is one of the most dangerous defects which cause rail discontinuity. The methods of simulation of the ultrasonic wave and projection possibilities of the real defect have been taken under consideration. The paper outlines the ultrasonic wave simulation method and describes the ultrasonic probe optimization results for the considered discontinuities.
Vickers Method Application for Quality Assessment the First Patterns of a Selected Product of the Automotive Industry – a Case Study
Authors: JAGUSIAK-KOCIK M.
Published: July 2022

Abstract. Production is one of the basic branches of the economy. Along with the development of techniques and technology, it expanded the scope of its activities, including a wide flow of information concerning, inter alia, the quality of manufactured products in order to increase competitiveness in meeting customer needs. The article assesses the quality of the first patterns of the selected product (detail X) by measuring the hardness using the Vickers method. The measurements were carried out for four samples marked with the letters A1, B1, C1 and D1, which for the Vickers test had to be properly prepared, which was associated with the need to meet both the requirements relating to surface roughness, the size of the detail and getting rid of contamination. This process follows the procedure prepared by the quality control section, specified in the detailed execution manual for detail X. The measurement of the samples confirmed the research carried out in the scope of quality assessment and the validity of the selection of the Vickers method for hardness measurement.
Improving the Quality of Products from Cast Alloy with the use of Grey Relational Analysis (GRA)
Authors: SIWIEC D.
Published: July 2022

Abstract. As part of the quality of products, corrective actions are necessary. In this context, organizations should use different methods to skillfully analyze product incompatibilities and their causes. The aim of a study is to propose the method for determining the degree of impact of causes on the occurrence of incompatibilities. This method is a new combination of Grey Relational Analysis (GRA) with known methods: brainstorm, causes and effects diagram, and important technique. The method was tested for an example of a cast alloy product.
Testing of Flash Butt Welded Rail Joints
Authors: MIKŁASZEWICZ I.
Published: July 2022

Abstract. This article presents selected aspects of testing flash butt welded rail joints that have a decisive impact on the rails’ operational strength, including cracking in the track. Bending tests of rail joints, fatigue tests, hardness HV30, residual stress results, and microstructure of welded joints are presented. The introduction shows sporadically occurring joint defects revealed on broken fractures related to the technological process of flash butt welding. The above tests were based on the requirements of PN-EN 14587-1:2019-03 [1] and PN-EN 13674-1+A1:2017-07 [2].
Characterization and Properties of Diamond-Like Carbon Coatings
Authors: KOWALCZYK J.
Published: July 2022

Abstract. The paper presents the results of the research on the tribological properties of the DLC coating. The coating was applied using plasma-assisted chemical vapour deposition (PACVD). The obtained coating was determined to be a DLC coating using a Raman spectroscope. Friction tests were performed using a tribometer working in a ball-disc friction configuration at various loads applied. For the tests, a disc with a DLC coating was used as a sample, and a ball made of 100Cr6 steel was used as a counter-sample. The friction tests were carried out in the conditions of technically dry friction. Examination of the coating was done using a scanning microscope. Analysis of the geometric structure of the sample before and after the friction test was performed using a confocal microscope with an interferometric mode. The obtained test results indicated that the properties of DLC coatings are influenced by the deposition process conditions: the argon and methane flow ratio. Whereas the deposition time influences the tribological properties.
Phonemes in language development in elementary school students
Authors: Palma-Alcivar Gilma Cleotillde , Barreiro-Vera Bella Aurora
Published: July 2022

In alphabetic languages like ours, learning to write requires awareness of the phonological structure of speech. Phonological awareness is the ability to access the structure of the oral language and be aware of the phonological segments of words. The purpose of the work is to carry out an analysis on the importance of the teaching of phonemes, as a key element for the development of the subject of language in the students at elementary school of the Educational Unit Fisco Misional Cinco de Mayo of the Chone Canton in the period 2021-2022, as well as the strong relationship that exists between the development of oral language and the skills that favor phonological knowledge in elementary school students. The research is based on a bibliographic review and descriptive work, which made it possible to characterize the impact of phonemes on the development of language in elementary school students and it was possible to verify the strong relationship that exists between the development of oral language and the skills that favor phonological knowledge in students.
CANCEL CULTURE AND ACADEMIC FREEDOM: A Perspective from Democratic-Deliberative Education Philosophy
Authors: Kurniawan Trio , Ngawan Rambang , Alno Yudas , Herianto Agus
Published: July 2022

Cancel culture (or also known as call-out culture) is a social and cultural phenomenon that has been gaining global attention in the recent years. Public figures, company brands or institutions can be ostracized or boycotted only on the basis of disagreeing with the statement or visions of the sympathizers or the ideologues of this so-called cancel culture. This phenomenon has also slowly infiltrated the world of education and some researchers would even argue that cancel culture has its seminal growth beginning from the academe itself. Thus, with that regard, this article will critically analyze the phenomenon of cancel culture particularly in the realm of education. Anchored in the principle of academic freedom, this article shall put into scrutiny the presence of cancel culture and its presuppositions and ramifications in education. And in order to achieve such telos, as a qualitative study, this article has employed an analytical-critical reflection as its method. In this academic endeavor, then, the researchers shall rely on the perspective of Deliberative-Democratic Education Philosophy as its benchmark.
TEOLOGI KONVERSI AGAMA DAN UPAYA MENUMBUHKAN NILAI-NILAI TOLERANSI DI BASIS MULTIKULTURAL
Authors: Arifin Syamsul , Kholish Moh. Anas , Mu'iz Dzikrul Hakim Tafuzi
Published: July 2022

Teologi Konversi Agama dan Upaya Menumbuhkan Nilai-Nilai Toleransi di Basis Multikultural. Tulisan artikel ini bertujuan untuk mengidentifikasi dan menganalisis konstruksi para elite tiga agama samawi dalam melakukan misi konversi agama di satu sisi, namun di sisi lain mereka juga harus mampu menumbuhkan nilai-nilai toleransi di tengah kehidupan mereka yang multikultural di Kabupaten Malang. Adapun pendekatan penelitian yang digunakan dalam tulisan artikel ini adalah studi komunitas (Community Studies) dengan menggunakan perspektif fenomenologi. Teknik pengumpulan data yang digunakan adalah wawancara mendalam, observasi partisipan, dan dokumentasi. Adapun hasil dari studi ini menunjukkan bahwa proselitisasi atau koversi agama merupakan sebuah keniscayaan teologis yang dimiliki oleh ketiga agama samawi di Indonesia, yaitu Islam, Katolik, dan Kristen. Namun, misi konversi agama tersebut di sisi yang lain dapat mencederai nilai-nilai toleransi dalam beragama. Sehingga teologi konversi agama tersebut harus mampu dikontekstualisasikan dengan konteks kebinekaan masyarakat Indonesia yang multikultural.
NILAI EKOLOGIS CERITA RAKYAT DEWI SRI DAN IMPLIKASINYA DALAM KEHIDUPAN PRAGMATIS MASYARAKAT PETANI JAWA TIMUR
Authors: Rohman A. Syarifuddin , Fitrahayunitisna Fitrahayunitisna , Astawan I Kadek Yudi
Published: July 2022

Tujuan dari studi ini adalah  mencari keterkaitan nilai ekologis dengan cerita Dewi Sri, dan menjelaskan implikasinya dalam kehidupan masyarakat Jawa Timur. Rumusan masalah dalam penelitian ini adalah (1) apa nilai ekologis dalam cerita Dewi Sri?; dan (2) bagaimana implikasi nilai ekologis secara pragmatis dalam kehidupan masyarakat Jawa Timur? Metode yang digunakan adalah kualitatif dengan pendekatan fenomenologi. Hasil penelitian menunjukkan keberadaan ruh Dewi Sri membawa nilai ekologis seperti nilai hormat kepada alam, nilai kelestarian, dan nilai ketaksia-siaan. Ketiga nilai tersebut berimplikasi secara pragmatis dalam kehidupan sehari-hari masyarakat Jawa Timur.
Da Folha para a Tela
Authors: Machado Garcia Jaimeson , José Arlei Cardoso
Published: July 2022

As histórias em quadrinhos estiveram restritas, durante quase um século, às mídias técnicas de exposição impressas até o advento das tecnologias digitais, que vêm cada vez mais transformando as formas de produção, distribuição e consumo. Mas com essas mudanças também surgiram novas questões, como as dificuldades em transpor produtos desse tipo de mídia, geralmente pensados a partir do formato impresso, para os meios digitais, visto que cada aparelho eletrônico possui suas próprias características, como o tamanho da tela. Tomando como base teórica principal os estudos sobre Intermidialidade propostos por Lars Elleström (2021), o presente artigo busca debater sobre as implicações presentes no processo de transposição de quadrinhos impressos para os suportes eletrônicos tablet, computador, Kindle e smartphone, averiguando as consequências dessas transformações. Tomando uma história em quadrinho digital como exemplo, podemos averiguar a partir desse estudo que a leitura pelo computador está mais próxima à leitura da revista impressa, enquanto o tablet, o Kindle e o smartphone quebram com a principal característica desse tipo de mídia: a leitura tabular ou artrológica.
Language Management
Authors: Wilmot Natalie Victoria
Published: July 2022

This book draws on case studies of language management within British organisations to examine the decisions they make about language diversity in their professional communications in order to be successful in a multilingual world.
Twitter Usage Among Physicians From 2016 to 2020: Algorithm Development and Longitudinal Analysis Study
Authors: Nakagawa Keisuke , Yang Nuen Tsang , Wilson Machelle , Yellowlees Peter
Published: July 2022

Background

Physicians are increasingly using Twitter as a channel for communicating with colleagues and the public. Identifying physicians on Twitter is difficult due to the varied and imprecise ways that people self-identify themselves on the social media platform. This is the first study to describe a reliable, repeatable methodology for identifying physicians on Twitter. By using this approach, we characterized the longitudinal activity of US physicians on Twitter.

Objective

We aimed to develop a reliable and repeatable methodology for identifying US physicians on Twitter and to characterize their activity on Twitter over 5 years by activity, tweeted topic, and account type.

Methods

In this study, 5 years of Twitter data (2016-2020) were mined for physician accounts. US physicians on Twitter were identified by using a custom-built algorithm to screen for physician identifiers in the Twitter handles, user profiles, and tweeted content. The number of tweets by physician accounts from the 5-year period were counted and analyzed. The top 100 hashtags were identified, categorized into topics, and analyzed.

Results

Approximately 1 trillion tweets were mined to identify 6,399,146 (<0.001%) tweets originating from 39,084 US physician accounts. Over the 5-year period, the number of US physicians tweeting more than doubled (ie, increased by 112%). Across all 5 years, the most popular themes were general health, medical education, and mental health, and in specific years, the number of tweets related to elections (2016 and 2020), Black Lives Matter (2020), and COVID-19 (2020) increased.

Conclusions

Twitter has become an increasingly popular social media platform for US physicians over the past 5 years, and their use of Twitter has evolved to cover a broad range of topics, including science, politics, social activism, and COVID-19. We have developed an accurate, repeatable methodology for identifying US physicians on Twitter and have characterized their activity.
A Review of Artificial Intelligence Applications in Hematology Management: Current Practices and Future Prospects (Preprint)
Authors: El Alaoui Yousra , Elomri Adel , Qaraqe Marwa , Padmanabhan Regina , Yasin Taha Ruba , El Omri Halima , EL Omri Abdelfatteh , Aboumarzouk Omar
Published: July 2022

BACKGROUND

Machine learning (ML) and deep learning (DL) methods have recently garnered a great deal of attention in the field of cancer research by making a noticeable contribution to the growth of predictive medicine and modern oncological practices. Considerable focus has been particularly directed toward hematologic malignancies because of the complexity in detecting early symptoms. Many patients with blood cancer do not get properly diagnosed until their cancer has reached an advanced stage with limited treatment prospects. Hence, the state-of-the-art revolves around the latest artificial intelligence (AI) applications in hematology management.

OBJECTIVE

This comprehensive review provides an in-depth analysis of the current AI practices in the field of hematology. Our objective is to explore the ML and DL applications in blood cancer research, with a special focus on the type of hematologic malignancies and the patient’s cancer stage to determine future research directions in blood cancer.

METHODS

We searched a set of recognized databases (Scopus, Springer, and Web of Science) using a selected number of keywords. We included studies written in English and published between 2015 and 2021. For each study, we identified the ML and DL techniques used and highlighted the performance of each model.

RESULTS

Using the aforementioned inclusion criteria, the search resulted in 567 papers, of which 144 were selected for review.

CONCLUSIONS

The current literature suggests that the application of AI in the field of hematology has generated impressive results in the screening, diagnosis, and treatment stages. Nevertheless, optimizing the patient’s pathway to treatment requires a prior prediction of the malignancy based on the patient’s symptoms or blood records, which is an area that has still not been properly investigated.
Correction: The Need for Standards Unification in Forensic Laboratory Practices: Protocol for Setting Up the Arab Forensic Laboratories Accreditation Center (Preprint)
Authors: AlMazroua Maha K , Mahmoud Naglaa F
Published: July 2022

UNSTRUCTURED

This is a corrigendum for MS 36778.
Institutional Support to Academic Wellbeing during COVID-19 Disruptions and the Move to Emergency E-Learning: A time to Signal SOS
Authors: Barnes Associate Professor Lisa
Published: July 2022

The COVID-19 restrictions in place for 2020 and 2021 were investigated in terms of the changing environment academics were forced into due to stay at home orders, where they entered into emergency e-learning, from home. The effects of emergency e-learning on academic’s workloads, job satisfaction and motivation, as well as overall wellbeing have yet to be investigated and reported. This identified gap in the literature enabled the generation of a research problem and research questions, on the challenges of emergency e-learning for academics in the higher education sector. Survey findings show institutions unprepared, academics untrained and under resourced and students disengaged with the online learning environment. The development of the SOS model is proposed as a recommendation that institutions need to Support their staff and students in the move to the Online environment, and to Supplement resources and training for academics delivering contact online that was designed for a face-to-face delivery.
Drug Use/Abuse and Addiction: Perceived Connections to Criminal Behavior and Sadipathic Offending
Authors: Berger Raqota
Published: July 2022

This project investigated the beliefs that people have about the connections between alcohol and drug use/abuse, addiction, criminal behavior, and sadipathic offending. Data were collected from 605 respondents via a quantitative survey. Overall, the respondents tended to lean in the direction that alcohol and drug use/abuse and addiction were associated with crime, violence, and victimizing others. Those from certain ethnic/racial groups were the most likely to state there are connections (e.g., Hispanic, Asian, White). Women were more likely to discern a connection between sadipathy and substance use/abuse, addiction, and victimizing others. Reliability analysis demonstrated a high level of internal consistency across the scaled items (? = .848). The findings support the extant literature showing that substance use/abuse and addiction are associated with criminal behavior and sadipathic offending.
Forensic Accounting and Integrated Financial Reporting of Banks using Hausman
Authors: Okeke Dr. Frankline C.S.A , Ekerare Dr. Neminebor James , obidike Dr Paul C. , Okwu Peter I.
Published: July 2022

This study examined forensic accounting and integrated financial reporting of listed banks in Ghana. The study aimed to examine forensic accounting effects on the integrated financial reporting of the listed banks. Its specific objectives determined the impact Litigations, Claims, Fraud cases reported, Cost of forensic investigation and Non-performing loans (LCFCN) have on integrated financial reporting variables such as corporate social responsibility – CSR. Integrated financial reporting (IFR) is the dependent variable while forensic accounting (FA) is the independent variable. In line with these stated objectives, five research questions and five hypotheses were formulated and it adopted the ex-post facto research design. The population of study constitutes 24 listed banks in Ghana, only 8 listed banks was selected through a purposive sampling. The data for the study was purely secondary and sourced from related books of the banks via Central Banks bulletin (Ghana), African financials and banks reports for a period of 16years from 2004-2020. Moreover, data were analyzed using the descriptive statistics, the Shapiro -Wilk test for a diagnostic check for normality and a combination of the panel regression analysis with the Hausman test which aided appropriately specification whether the analysis should be done with a fixed effect or random effect model of which the fixed effect was used for the interpretation at (P 0.050 < 0.10). In nations analyzed, the results among others demonstrated that forensic accounting and integrated financial reporting were statistically significant at 1%, 5%, and 10% as claims is positive and have significant effect on CSR (β = 64687.53, P<0.10); Non-performing loans is statistically significant and had a negative effect on CSR (β = -2.934, P= 0.054 @ 0.10). The study hence concludes that the effective implementation of forensic accounting had a constructive and significant effect on the integrated financial reporting of listed banks in Ghana. The study recommends among others that the apex banks should mandate banks to incorporate forensic accounting when reassessing their employability skill set, report production, debt administration and management, and portray fairness virtue in their reporting system so as to attract more investment and positive public image.
(∆mv , f)-lacunary statistical convergence of order α
Authors: Verma A. K. , Singh Lav Kumar
Published: July 2022

In this paper, we define the space Sαθ (∆mv, f) of all (∆mv, f)-lacunary statistical convergent sequences of order α with the help of unbounded modulus function f, lacunary sequence (θ), generalized difference operator ∆ mv and real number α ∈ (0, 1]. We also introduce the space ωαθ (∆mv, f) of all strong (∆mv, f)-lacunary summable sequences of order α. Properties related to these spaces are studied. Inclusion relations between spaces Sαθ (∆mv, f) and ωα θ (∆mv, f) are established under certain conditions.
Why Mac-OS is Safer Better than Windows
Authors: Shukla Ravikant
Published: July 2022

Abstract: The "Mac-OS" which is an operating system of Apple laptop which provide their user a safer, faster and experience of using the devices.
Smart Shopping Trolley and Notification System Based on IoT
Authors: Kumar B. Kalyan
Published: July 2022

Abstract: In a grocery store, for example, a smart shopping system may connect all of the items. Low-cost RFID tags may be added to each item in an IoT system, which may be read by a smart shopping cart's RFID reader when the item is put in the cart. To avoid lengthy lines at the register, clients may now pay for their purchases using their smartphones. This system may also be coupled with RFID scanners, which enable it to maintain track of inventory and, if required, communicate stock changes to a central server. Additionally, inventory management is simplified thanks to the use of RFID readers instead of laborers who must manually scan every item in the system. Design criteria, a prototype system, and a secure communication protocol are some of the methods used in this study to prove the system's viability in the real world. We believe this is the first time that a smart shopping system with security in mind has been offered.
Implementing a Real-time Emotion Detection System using Convolutional Neural Network
Authors: Nalini K
Published: July 2022

Abstract: Humans express their emotions through their facial expressions. They are crucial in interpersonal communication. Every human mood can be documented using this project's real-time emotion recognition system. In this project, various models generated using machine learning and deep learning algorithms are used. To identify human expressions in real time, application software is created that makes use of a few powerful Python packages. This project makes use of a number of libraries, including Keras, OpenCV, and Matplotlib. Training those emotions can detect various human emotions. This real-time emotion detection can be used across multiple platforms.
Enhancing Customer Buying Experience using MR
Authors: Goyal Anshul
Published: July 2022

Abstract: This study provides a general overview of the MR technology that aids consumers in improving their shopping experiences. VR, AR, and MR technologies have revolutionised the online shopping experience of customers in the modern world. To keep clients, online e-commerce websites offer a seamless brand experience. Over 75% of buyers still leave their shopping carts full without placing the order, according to statistics. The use of mixed reality holds great promise for creating satisfying customer experiences that resemble those seen in physical establishments. In order to perceive the actual and digital worlds simultaneously on a single display, mixed reality mixes augmented reality with virtual reality. This technology raises the bar for the internet market and simplifies online buying for consumers. Retailers may now provide customers augmented reality (AR) and virtual reality (VR) perspective of their items through the usage of mixed reality. The user may overlay the products in both their real-world and virtual environments by combining this technology into a single application. Currently, a user dons a set of mixed reality glasses with cameras and sensors. It gathers as much data about the surroundings as it can using this tool and software, basically building a digital map of the actual world. The MR technology may enhance the world with holographic content and pictures using that map. Users of the MR glasses may view the objects they're viewing from different perspectives. In order to maximise their experience, they might then alter their own plans and deeds. The way individuals browse for things is anticipated to change as a result of this technology. eCommerce is undergoing a wave of transition as a result of mixed reality. We can anticipate seeing more of this kind of customer-enhancing technology in the future
Gym Trainer Application using Machine Learning.
Authors: Gatti Sathvik K
Published: July 2022

Abstract: Human pose estimation localizes body key points to accurately recognizing the postures of individuals given an image. This step is a crucial prerequisite to multiple tasks of computer vision which include human action recognition, human tracking, human-computer interaction, gaming, sign languages, and video surveillance. Fitness exercises are very beneficial to personal health and fitness; however, they can also be ineffective and potentially dangerous if performed incorrectly by the user. Exercise mistakes are made when the user does not use the proper form, or pose. In our work, we introduce Pose Trainer, an application that detects the user’s exercise pose and provides personalized, detailed recommendations on how the user can improve their form. Pose Trainer uses the state of the art in pose estimation to detect a user’s pose, then evaluates the vector geometry of the pose through an exercise to provide useful feedback. We record a dataset of over 100 exercise videos of correct and incorrect form, based on personal training guidelines, and build geometric heuristic and machine learning algorithms for evaluation. Pose Trainer works on four common exercises and supports any Windows or Linux computer with a GPU
Solar Still for Water Distillation
Authors: Tale Mayur
Published: July 2022

Abstract: To produce pure water, it is known that the desalination of saltwater using solar systems and since a long time is a practical solution, especially in remote areas of rural, which suffer from the scarcity of drinking water due to poor infrastructure, many of which are not connected to the national water grid. The model was produced in ANSYS-CFD. The simulation was performed transient state to validate Practical experiments on solardistillation performance under the different climatic conditions of the city of Karbala, Iraq (latitude 32.6 °N and longitude 44.02 °E). The results of the ANSYS CFD simulation compared with the results obtained from conducting experiments, it showed a good agreement to solar still performance.
Study on Non-Fungible Tokens (NFT)
Authors: Belose Rahul Dattaram , Mhadgut Yogesh Ramesh
Published: July 2022

Abstract: This study examines the risk and return characteristics of the NFT-based startups listed on the cryptocurrency exchange. Our investigation is motivated by the recent surge in the NFT activity on the part of creators, investors, and traders. We begin by proposing novel classification ofthe existing NFTs that range from NFT blockchains through NFT metaverse to NFT DeFi. Next, we establishthat NFTs: 1) earn 130% on the first-listing-day; 2) yield an average investment multiple of 40 (roughly 4,000%) over long-term, which is four times higher than bitcoin during the same period; 3) deliver positive and significantalpha and exhibit above-average beta. We also show thatthe NFT segment of the cryptocurrency market leads market recovery following the mid-2021 crash and generate a return of close to 350%.
Quality Testing of Food Grains Using Image Processing and Neural Network
Authors: KB Nayana , CK Geetha
Published: July 2022

Abstract: The main crop for our nation to boost agricultural income is grains. While the crop is still in the ground, farmers notice yield the most, but once the grain has been processed and sold, quality becomes the main factor in determining its viability. Several contaminants, including stones, weed seeds, chaff, damaged seeds, etc., are present in these grains. Low automation levels and a large human workforce are required for assessing grain quality. Additionally, it increases the cost and length of the testing process. This contradiction is becoming more and more obvious as import and export trade expands. Prior to performing the next process during grain handling procedures, several types of grain and their quality are necessary.
COVID-19 Dashboard
Authors: Anand Abhinav
Published: July 2022

Abstract: Applying a digital strategy is proven to be one way to reduce the infection rate of COVID-19. As a fundamental part of it, database is capable to create a data repository to predict uncertain impacts of the pandemic. The research proposed a database design for project C-Beta that emphasized on creating an ideal system to record and monitor the daily health condition of people with COVID-19. Mainly, the research adopted Connolly and begg principles of Database Software Development Life Cycle. As a result, the database design activities produced blueprints in the forms of data dictionary, ERD, and user views. The database design delivered in the research included with several features namely user verification, restricted research membership, and flexibility in survey creation. Based on analysis and design phase, C-Beta provides a method to collect data for COVID-19 clinical study. Researchers who utilize C-Beta is able to manage multiple surveys and extract all collected records at the same time.
Prediction of Alzheimer\'s Disease Using CNN
Authors: M K Kavya , M Geetha
Published: July 2022

Abstract: Alzheimer’s disease is an incurable, progressive neurological brain disorder. Earlier detection of Alzheimer’s disease can help with proper treatment and prevent brain tissue damage. Several statistical and machine learning models have been exploited by researchers for Alzheimer’s disease diagnosis. Analysing magnetic resonance imaging (MRI) is a common practice for Alzheimer’s disease diagnosis in clinical research. Detection of Alzheimer’s disease is exacting due to the similarity in Alzheimer’s disease MRI data and standard healthy MRI data of older people. Recently, advanced deep learning techniques have successfully demonstrated human-level performance in numerous fields including medical image analysis. We propose a deep convolutional neural network for Alzheimer’s disease diagnosis using brain MRI data analysis. While most of the existing approaches perform binary classification, our model can identify different stages of Alzheimer’s disease and obtains superior performance for early-stage diagnosis.
Digital Tormenting Identification ON Web-based Entertainment Utilizing Machine Learning
Authors: Savanth Sowjanya G , M Geetha
Published: July 2022

Abstract: Cyber bullying is a major problem encountered on internet that affects teenagers and also adults. It has led to mishappenings like suicide and depression. Regulation of content on Social media platforms has become a growing need. The following study uses data from two different forms of cyber bullying, hate speech tweets from Twittter and comments based on personal attacks from Wikipedia forums to build a model based on detection of cyber bullying in text data using Natural Language Processing and Machine learning. Three methods for Feature extraction and four classifiers are studied to outline the best approach. For Tweet data the model provides accuracies above 90% and for Wikipedia data it gives accuracies above 80