bluuebunny/crossref_metadata_2025 huggingface dataset:
The Political Assassination of Kim Jong Nam: A Comparative Analysis of US and South Korean News Coverage
Authors: Lee Eun Jeong
Published: May 2023

North Korea is one of the most secretive and closed countries in the world that is still under communist rule. This paper presents a comparative content analysis of the overall framing in the online news coverage of the assassination of Kim Jong Nam, the estranged half-brother of North Korean leader Kim Jong Un, from The New York Times and Chosun Ilbo (N = 154). Results showed that while U.S. and South Korean newspapers displayed considerable similarities among the use of texts, visuals, sources, and news frames, differences existed in the use of hyperlinks and news tones. This study not only adds to the body of work in framing theory by examining the coverage of Kim Jong Nam’s sudden death from the lens of two different news media, but also contributes to international communication by exploring how international newspapers covered the same event related to North Korean political figures. The implications are discussed.
Carr V. Van Anda and the Advancement Of Science News Coverage
Authors: Unus Wafa
Published: May 2023

Science reporting has a long and rich history in American journalism. While literature is filled with studies on the impact and evolution of science journalism, there remains a gap in the literature where the origins of contemporary science journalism is concerned. In fact, there is no significant investigation into the role in which one of America’s premier publications, The New York Times, under its pioneering and somewhat eccentric managing editor, Carr V. Van Anda, pushed forward the development of substantial science reporting. In the early to mid-1900s, Van Anda led The Times in the coverage of a groundbreaking expedition to the North Pole, the introduction of Albert Einstein to the American public, and provided the American people with their first educational resource on atomic energy. Van Anda rose from a small-time typesetter to The Times preeminent managing editor. He filled the post from 1904 to 1932, during the newspaper’s most celebrated period. His contributions to the reportage of science in American journalism are unparalleled. Van Anda’s personal interest in the sciences deeply impacted his work at The Times and his encouragement of the coverage of sciences spurred continued coverage from The New York Times, one of only nineteen remaining papers with a science section. This study provides the first historical account of Van Anda’s contributions to the beginnings of contemporary science journalism.
Journalists and the Red-State Voter: Perceptions of Journalism Credibility at a Statewide Level in the U.S. and the Trump Effect
Authors: McCaffrey Raymond , Foster Bobbie J. , Duffy Michael , Parry Janine A.
Published: May 2023

“This study examined the perception of journalism ethics by residents in a red state. A 2016 poll found that only 15% rated the honesty and ethical standards of journalists as high or very high, about 12 percentage points below the all-time low findings of a national Gallup poll. Chi square tests revealed statistically significant associations between those ratings and political party, with Republicans grading journalists much lower than Democrats, especially if they supported Donald Trump.”
It’s About More Than Money: Adviser Qualifications, Racial Makeup of Staff and School Location Predict Scholastic Media Success
Authors: Wilson Bradley
Published: May 2023

Respondents in a 2017 Gallup poll said they have little confidence in the public schools today with only 36 percent having a “great deal” or “quite a lot” of confidence in the schools. While the rising tide of mediocrity so often mentioned in educational research pushes for more funding— smaller class sizes and higher teacher salaries, this research and that of others shows money may not be the leading factor in success in a scholastic media environment. When 310 of the most successful scholastic broadcast, yearbook, newspaper and online programs were examined, the qualifications of the teachers, the location of the school and the racial diversity of the school were more likely to predict success than per pupil revenues or low student/teacher ratios.
Criatividade no turismo como promotora de sustentabilidade – Uma revisão de literatura
Authors: Sousa Arturo
Published: May 2023

A criatividade no turismo assume um caráter complexo e transversal aos vários setores da indústria turística, tal como influencia a satisfação turística de vários agentes interessados. Este tipo de criatividade, tanto na oferta como na procura turística, é capaz de promover a sustentabilidade no domínio ambiental, económico e sociocultural. O presente estudo visa a elaboração de uma revisão sistemática da literatura sobre o tema da criatividade no turismo como forma de promover a sustentabilidade, com vista a identificação de áreas mais estudadas e aspetos que podem ser objeto de uma maior atenção por parte de investigadores. A metodologia aplicada consistiu na análise de artigos de revistas científicas encontrados nas bases de dados Scopus e Web of Science, sendo realizada uma caraterização bibliométrica e uma análise de conteúdo. A análise realizada identificou oito lacunas de investigação como é exemplo as motivações e comportamentos dos turistas para pagar mais por produtos ou serviços criativos que promovem a sustentabilidade dos destinos.
Análise dos Determinantes das Exportações do Nordeste Brasileiro: Uma Aplicação do Modelo Gravitacional
Authors: Júnior Gilvan Santos do Rosário , Moura Ticiana Grecco Zanon
Published: May 2023

Este artigo tem como objetivo analisar os determinantes das exportações do Nordeste brasileiro no período de 2002-2017. A metodologia baseou-se na estimação de uma equação do modelo gravitacional através do estimador Pseudo Máxima Verossimilhança de Poisson (PPML). Especial atenção foi dada a possíveis problemas de causalidade reversa. Como resultado, constatou-se que as exportações de produtos não manufaturados dependem pouco da qualificação da mão de obra e da infraestrutura logística dos estados nordestinos. Entretanto, o PIB per capita se mostrou positivamente afetado pelas exportações deste tipo de produto. No caso das exportações de manufaturados, o grau de qualificação dos trabalhadores e a infraestrutura logística regionais tiveram peso importante na determinação das exportações. Por fim, a demanda externa, medida através de uma proxy de desenvolvimento dos parceiros comerciais, é o fator mais importante na geração de fluxos de exportação nordestinas, de manufaturas e não manufaturas.
М. ӘУЕЗОВТІҢ «АБАЙ ЖОЛЫ» РОМАН-ЭПОПЕЯСЫНДАҒЫ ҚҰНАНБАЙ ОБРАЗЫНЫҢ СОМДАЛУЫ
Authors:   Ш. Уәлиханов атындағы Көкшетау университеті, Көкшетау қ., Қазақстан Республикасы, Қажыбай А.Т.
Published: May 2023

Мақалада М. Әуезовтің еңбектеріндегі Құнанбай жайлы деректер бұрынғы-соңғы зерттеулермен байыппен салыстырылып, роман-эпопеядағы Құнанбай бейнесі тарихи шындық пен көркемдік шешім тұрғысынан зерделеніп, тарихи түптұлға мен кейіпкер мәселесі пайымдалады. Құананбай образын жасаудағы М. Әуезовтің шеберлігі әлем әдебиеті классиктерінің поэтикалық тәжірибесімен салғастырыла-салыстырылып, тарихи шындық пен әдеби көркем шындық арасындағы өзара байланыс және айырмашылықтың арақатынастары айқындалып, аналитикалық және синтездік сипатта талданады. Еңбекте сонымен қатар, Құнанбайдың өмірі мен қызметі өз заманының шындықтарымен сабақтастықта, жан-жақты кешенді түрде зерттелініп, сол заманның ерекшеліктері, олардың Құнанбайдың тіршілк болмысына еткен әсері, сол дәуірдегі патша шенеуніктерінің Құнанбай жөніндегі таным-пікірлері, ой-толғамдары да қарастырылады. Келтірілген деректер мен Құнанбай, оның замандастары туралы әңгімелердің эпопеяда суреттелу, көрініс табу жолдары, өмір шындығы көркемдік шындыққа айналдырудағы, автордың шығармашылық психологиясы, кейіпкердің характерін ашудағы жазушы шеберлігіне көркем мотивировкасы мен себептеріне баса назар аударылады. Кілт сөздер: роман-эпопея, образ, эпикалық бейне, тарихи роман, тарихи шындық, тарихи тұлға, диалог, полилог, конфликт, психологиялық талдау, көркемдік шешім
THE ROLE OF GOOGLE FORMS IN TEACHING READING TO UNIVERSITY STUDENTS
Authors:   L.N. Gumilyov Eurasian National University, Astana, Kazakhstan, Aitmaganbet D.M. , Yessengaliyeva A.M. ,   L.N. Gumilyov Eurasian National University, Astana, Kazakhstan
Published: May 2023

This article describes the role of Google Forms in teaching reading in English to university students, and provides examples of the effectiveness of using technologies in teaching reading. The effective use of Google Forms in education has created more educational opportunities. A survey was conducted in control and experimental groups of students to determine the role of technology in teaching reading. As a result of the study, the use of technology is cited as a solution for increasing students’ interest in studying new material. Both teachers and students have benefited from various educational technologies. Teachers have learned how to integrate technology into their classrooms. Students are getting more interested in learning with technology. The use of technology helps in teaching reading comprehension and enhances the motivation of students to read. The findings revealed that applying Google Forms is effective in teaching and learning English. The last section of the article discusses pedagogical implications and difficulties encountered in the process of teaching. Key words: teaching reading, Google Forms, technology, reading comprehension, effective method.
Some Considerations on the Smart City concept. From Necessity to Implementation Challenges
Authors:   Politehnica University Timişoara, Vasile Marian-Constantin , Mocan Marian ,   Politehnica University Timişoara
Published: May 2023

Today, urbanization phenomenon is a reality. Cities are urged to find new solutions for managing their assets in order to prosper, otherwise face decline. This state of facts and necessities require new technologies, new legislation, new managerial approaches and a good understanding of mass psychology. Simultaneously, in the actual era of globalization and scarce resources management, cities must collaborate through efficient information and communication platforms in order to specialize themselves, on the basis of a common strategy. All these challenges have to be studied and addressed for each city, separately and contextually, in order to create the smart cities of 21st century. The aim of the article is to make an overview of the smart city concept development and to underline important aspects, statistics and points of view for its implementation.
Alternative Manufacturing Processes (AMP) for Wind Turbine Blade Material, in Isolated Regime Based on AHP
Authors:   Politehnica University Timişoara, Badea Andra , Proștean Gabriela ,   Politehnica University Timişoara
Published: May 2023

The newest cutting-edge technologies in Renewable Energy Sources (RES) projects provides economic benefits for project developers, especially when installing a wind power in isolated regime. The research was focused on finding technological alternatives, using an optimal composite material for wind blades structure. In this sense, the research team made a decision based on critical analysis of today existing technologies that can provide feasible solutions. The Analytic Hierarchy Process (AHP) method provides results for choosing alternative manufacturing processes, suitable for blades structure, in isolated regime
A new scaled testing methodology for the analysis of rolling contact fatigue in railway steels.
Authors: Woodhead Daniel Herbert
Published: May 2023

Twin disc testing is a relatively cost effective and practical method of investigating the damage resistive properties of rail steels in a scaled environment. The loading conditions and dimensions used in testing are scaled in such a way that the Rolling Contact Fatigue (RCF) generated on a twin disc rig are representative of the conditions experienced at the full-scale. Typical methodologies to generate RCF on a twin disc rig involve the application of water to the contact patch throughout the test, with perhaps a few thousand dry cycles being run beforehand. This research explores the use of weather data to reflect the real-world contact conditions more accurately between a wheel and rail. Met Office weather data collected from 1981 to 2010 shows the average annual precipitation in the UK is around 133 days of rain or snow, which is nearly 36 % of the year. In this study, weather data was used to determine the ratio of wet to dry cycles in the testing methodology.  50k dry cycles are run in intervals of 5k and then transitioned to 25k of wet cycles, which is 30% of the total cycles. Intervals were kept at 5k so attaining 36%. If RCF is not initiated after the first 75k cycles, which ends with 25k wet cycles, then the same dry and wet cycles are repeated. RCF data generated using this methodology demonstrated expected differences in the RCF resistive properties of two rail steel grades, R260 and R350HT. In test 1 the point of initiation for each grade was not captured, though cracks were visible around the expected cycles to initiation, which was verified using optical microscopy. The cracks viewed on the softer R260 steel samples, ‘’260’’ referring to the Brinell hardness value of the steel, were more developed at 85k cycles and showed signs of spalling, whilst the cracks on the harder R350HT sample were much smaller. In test 2 the point of initiation was found for each grade. Optical microscopy was also used to show the depth and direction of head check cracks to ensure the damage viewed from the head was RCF and not plastic flow or cyclic wear. This paper shows the necessity for considering the number of wet cycles applied during twin disc testing and demonstrates it is possible to run a high number of wet cycles which are more representative of real-world conditions when generating RCF on twin disc rigs.  
Risk Analysis of Job Stress Among Balinese Crew of Cruise Ships
Authors: Kusuma Made Adhyatma Prawira Natha , Susilowati Indri Hapsari
Published: May 2023

Job stress can appear in all fields of work. Job stress not only occurs from the environment at work but also can be caused by the psychological condition of the workers. Working on a cruise ship demands higher patience to serve the guests in various activities and handle complaints. Moreover, work on cruise ships causes the workers separated from their families for a long time period, which can increase their mental pressure. The aim of this research is to describe the job stress of workers at a cruise ship. This research was conducted in January-June 2017. In an attempt to examine and understand this research, the researcher used a quantitative research method with a cross-sectional design and descriptive approach. The sample of this research was 111 participants with an affordable population are crew members who only come from Bali Province. Researchers used a convenient sampling technique and questionnaire as research instruments. The result shows that 60,36% of respondents experience job stress in moderate categories and 12.61% in the higher categories. The proportion of job stress in the higher categories was: mostly male (16.67%); at galley station (20.00%); working >5 years (14.71%); age group 11-20 years (25.00%); duration of work >11 hours (16.07%); and the level of fatigue is very tired (100%). The data, bivariate analyzed by using Kendall's tau-b correlation test with significance level is 0.05, showed a significant correlation between job stress and fatigue level (p = 0.001, r=0,41). Recommendation to solve these problems are: First, workers need to conduct stress management to minimize the impact of job stress. Second, companies need to pay attention to the workload and complaints of workers so it can develop a sustainable plan, particularly related to job stress.
Differences in Levels of Prostate Specific Antigen and Insulin-like Growth Factor 1 in GSTP1 Gene Polymorphism among Workers
Authors: Roestijawati Nendyah , Wibowo Yudhi , Lestari Tri
Published: May 2023

Cadmium (Cd) is classified as a carcinogen in humans (IA). In addition to causing lung cancer, the incidence of prostate cancer due to Cd exposure based on epidemiological research has also increased. This study aims to identify the GSTP1 genotypic frequency distribution and its correlation with PSA and IGF-1 levels in Cd exposed and unexposed workers. The research design used was cross sectional in 23 exposed groups (weld workers) and 40 unexposed groups (office employees) with a total of 63 people. The measurement of PSA and IGF-1 levels was carried out using the ELISA method and identification of the GSTP1 gene polymorphism using the PCR-RFLP method. Data analysis using Mann-Whitney and Spearman correlation test. The results showed that there was a relationship between PSA levels and IGF1 (p <0.01, r = 0.515) in all subjects. The results of identification of GSTP1 gene polymorphism were obtained as ile/ile genotypes as much as 30.2% and ile/val as much as 69.8%. There were no differences in PSA and IGF1 levels between ile/ile and ile/val genotypes (p> 0.05). There was a relationship between PSA and IGF1 (p <0.01, r = 0.569) in the group of Cd exposed workers and no differences in PSA and IGF1 levels between the ile/ile and ile/val genotypes (p> 0.05). There was a relationship between PSA and IGF1 (p <0.05, r = 0.342) in the unexposed group of workers and no differences in PSA and IGF1 levels between ile/ile and ile/val genotype (p>  0.05).
Analisis Hubungan Faktor Psikososial Terhadap Stres Kerja dan Perilaku Berisiko Karyawan di PT. X
Authors: Putro Aji Utomo , Erwandi Dadan , Kadir Abdul
Published: May 2023

Angka kematian akibat lift di dunia pada 1999-2009 sebesar 263 orang yang disebabkan 57% terjatuh, 18% terjepit, 17% tertimpa benda, dan 9% penyebab lainnya. Salah satu upaya pencegahan kecelakaan dengan menganalisis faktor psikososial yang mengakibatkan stres kerja dan perilaku berisiko yang dapat menimbulkan kecelakaan kerja. Tujuan dari penelitian ini untuk mengetahui hubungan faktor psikososial terhadap stres kerja dan perilaku berisiko karyawan di PT. X. Metode penelitian yaitu deskriptif kuantitatif, desain studi cross-sectional, dengan sampel 200 orang. Faktor psikososial yang berhubungan yaitu beban kerja dan kecepatan kerja, pengendalian, fungsi organisasi, hubungan interpersonal, peran organisasi, pengembangan karir, home-work interface, tuntutan psikologis, partisipasi atau pengawasan, perundungan dan kekerasan. Terdapat hubungan antara stres kerja dan perilaku berisiko. Perilaku yang sering muncul ketika karyawan mengalami stres kerja yaitu terburu-buru saat bekerja. Keluhan stres kerja paling tinggi terkait keluhan fisiologis yaitu konsumsi obat penghilang sakit kepala; keluhan perilaku yaitu menyela dan memotong kalimat orang lain; keluhan emosional yaitu enggan pergi kerja. PT X sebaiknya melakukan risk assesment lebih komprehensif, memperjelas pengembangan karir, dan perhitungan ulang terkait beban kerja, efektifitas dan efisiensi agar tidak berdampak buruk terhadap work-life balance karyawan.
Kajian Penilaian Risiko Kesehatan Terkait Pajanan BTX Mengacu Pada Metode SQRA di Laboratorium Pengujian Migas PT SCI
Authors: Rachmawan Ryan , Tejamaya Mila
Published: May 2023

Laboratorium adalah tempat untuk melakukan percobaan atau eksperimen uji dimana bekerja di tempat tersebut membutuhkan perilaku kehati-hatian dalam menggunakan peralatan dan bahan. Salah satu jenis bahan kimia yang terdapat di laboratorium adalah pelarut organik yang memiliki fungsi sebagai pelarut bahan kimia lainnya. Potensi risiko kanker payudara pada pekerja wanita di laboratorium pada studi kohort ini adalah paparan pelarut organik. Pelarut organik yang sering digunakan di laboratorium adalah benzene, toluene dan xylene (BTX). Dengan adanya pajanan bahan kimia benzene, toluene dan xylene di tempat kerja dan risiko kesehatan yang ditimbulkan oleh bahan kimia tersebut, maka perlu dilakukan penilaian tingkat risiko pajanan bahan kimia terhadap kesehatan pekerja di laboratorium PT. SCI dengan suatu penilaian risiko kesehatan melalui inhalasi dengan menggunakan metode SQRA Singapura. Pengumpulan data terkait dengan keluhan kesehatan pekerja gejala neurotoksik laboratorium menggunakan kuisioner yang mengacu pada The German Q18 Questionnaire. Penelitian dimulai dengan pengambilan sampel inhalasi dan udara di lingkungan kerja. Data hasil sampling diolah untuk mengetahui Tingkat Bahaya (Hazard Rating), Tingkat Pajanan (Exposure Rating), dan Tingkat Risiko (Risk Rating). Nilai tingkat pajanan untuk benzene, toluene dan xylene berturut-turut adalah 1,6;2,0;2,1. Nilai RR benzene adalah 3 (risiko moderat) sedangkan nilai RR toluene dan xylene adalah 2 (risiko rendah). Secara keseluruhan terkait jumlah responden yang memiliki gejala neurotoksik positif atau menjawab “ya” pada 5 pertanyaan atau lebih pada kuisioner sebanyak 25% (1 responden) dan 75% (3 responden) lainnya memiliki gejala neurotoksik negatif
Analisa Faktor Psikosial Terhadap Gejala Distress Pada Karyawan Perusahaan Geothermal PT. X
Authors: Fajarudin Khairul , Erwandi Dadan
Published: May 2023

Penelitian ini menyelidiki dan membandingkan berbagai faktor psikososial dan faktor lingkungan sosial yang dapat memberikan pengaruh pada satu atau berbagai gejala distress pada pekerja di perusahaan geothermal PT. X. Penelitian ini adalah penelitian semi kuantitatif dengan desain deskriptif. Penelitian menemukan 10 dari 11 indikator faktor psikososial yang dominan di persepsikan sebagian atau lebih responden, dengan 5 gejala stress kerja yang dominan adalah sakit kepala & pusing, MSDs, marah, sulit tidur, dan perubahan nafsu makan. Penelitian menyarankan kepada perusahaan untuk meninjau kembali beban kerja dan kapasitas kerja yang ada, meningkatkan proses manajemen kerja, memperbaiki komunikasi kerja dari tenaga asing, serta menciptakan lingkungan kerja yang suportif.
Analisis Faktor Risiko Keluhan Subjektif Gangguan Muskuloskeletal (MSDs) Pada Guru Dan Murid SMA Akibat Pembelajaran Jarak Jauh Di Bogor
Authors: Azizie Heykal Aldaffa , Susilowati Indri Hapsari
Published: May 2023

Pandemi COVID-19 membuat banyak kegiatan masyarakat harus dibatasi, termasuk dunia pendidikan Indonesia yang menerapkan pembelajaran jarak jauh (PJJ). PJJ ini membuat seluruh kegiatan pembelajaran menjadi daring dan mewajibkan guru dan murid untuk berada di depan gawai dalam rangka menjalankan kegiatan PJJ. Aktifitas PJJ ini tentu memiliki risiko ergonomi yang berisiko menimbulkan gangguang muskuloskeletal (MSDs). Penelitian ini bertujuan untuk mengetahui risiko ergonomi selama kegiatan pembelajaran jarak jauh pada murid dan guru SMA di Kota Bogor. Metode yang digunakan adalah desain studi potong-lintang menggunakan Nordic Musculoskeletal Questionaire serta kuesioner tambahan yang disebar secara daring dan penelitian ini dilakukan kepada 496 guru dan murid dari sekolah negeri dan swasta. Variabel yang diteliti adalah faktor individu, faktor pekerjaan, faktor peralatan kerja, dan keluhan subjektif MSDs. Hasil menunjukkan bahwa terdapat lebih dari sama dengan 60% guru dan murid di kedua sekolah yang mengalami keluhan subjektif MSDs. Keluhan paling banyak dirasakan di leher, bahu, punggung atas, punggung bawah, tangan dan kaki. Ditemukan juga hubungan yang signifikan antara periode PJJ, durasi PJJ, frekuensi PJJ, gerakan repetisi, gerakan statis, frekuensi aktivitas fisik, kondisi kursi, dan kondisi meja.
Analisis Hubungan Faktor Fisik dan Psikososial terhadap Keluhan Gangguan Otot Tulang Rangka Akibat Kerja pada Guru SMK Negeri di Kota Pekanbaru
Authors: Florensia Maria Yolanda , Widanarko Baiduri
Published: May 2023

Gangguan otot tulang rangka akibat kerja (gotrak) menjadi salah satu permasalahan kesehatan kerja yang paling sering terjadi dan dialami oleh pekerja, termasuk guru. Tuntutan kerja yang banyak dan bervariasi serta postur tubuh yang janggal menjadi salah satu faktor risiko yang paling sering dialami. Selain itu, karakteristik individu juga menjadi faktor risiko dalam peningkatan keluhan tersebut. Sehingga, tujuan dilakukannya penelitian ialah untuk menganalisis hubungan antara karakteristik individu, faktor risiko fisik, dan faktor risiko psikososial terhadap keluhan gotrak pada guru SMK Negeri. Penelitian dilaksanakan pada bulan April – Juli 2021 dengan menggunakan berbagai kuesioner, yaitu lembar NMQ, QEC, dan kombinasi kuesioner psikososial. Desain studi cross-sectional digunakan pada penelitian ini dan melibatkan 100 guru dari tiga SMK Negeri di Kota Pekanbaru. Hasil dari penelitian ini menunjukkan terdapat tiga variabel yang memiliki hubungan yang signifikan, yaitu: tingkat risiko pada pergelangan/tangan yang tinggi dan kendali terhadap pekerjaan yang rendah dengan keluhan pada leher serta dukungan sosial yang rendah dengan keluhan pada bahu. Oleh karena itu, diperlukan pengendalian dan intervensi lebih lanjut untuk mengatasi permasalahan tersebut.
Analisis Faktor Risiko Keluhan Fatigue Pada Pramudi BRT (Bus Rapid Transit) dan Non-BRT Transjakarta Tahun 2022
Authors: Megaranti Stefani Avelliana
Published: May 2023

Terjadi 508 kasus kecelakaan Bus Transjakarta di tahun 2021, hasil investigasi yang dilakukan oleh KNKT mengungkapkan salah satu penyebabnya adalah kelelahan pramudi. Penelitian ini bertujuan untuk mengetahui gambaran keluhan dan analisis faktor risiko terkait fatigue pada pramudi Bus Rapid Transit dan Non-BRT Transjakarta Tahun 2022. Penelitian ini adalah penelitian kuantitatif dengan desain penelitian deskriptif analitik. Sampel penelitian sebanyak 124 Pramudi BRT dan Non-BRT Transjakarta. Variabel Independen pada penelitian ini yaitu factor risiko terkait pekerjaan (Durasi Kerja, Shift Kerja, Waktu Istirahat, Commuting Time, Beban Kerja). Variabel kovariat pada penelitian ini yaitu factor risiko terkait pekerja (Usia, Jenis Kelamin, IMT, Konsumsi Kafein, Riwayat Penyakit Hipertensi, Riwayat Penyakit Diabetes, Kuantitas Tidur). Penelitian cross-sectional menggunakan kuesioner Swedish Occupational Fatigue Index (SOFI) untuk mengukur kelelahan dan NASA-TLX untuk mengukur beban kerja. Analisis data dilakukan secara bivariat dengan uji kai kuadrat dan multivariat dengan regresi logistik. Hasil penelitian ini menujukkan sebanyak 48,4 % (60) pramudi mengalami fatigue dan sebanyak 55,6% (64) pramudi tidak mengalami fatigue. Variabel IMT, usia, dan Kuantitas tidur memiliki hubungan yang signifikan dengan kelelahan. Faktor pekerjaan yang paling dominan memengaruhi kelelahan adalah beban kerja walaupun tidak ditemukan hubungan secara signifikan.
Gambaran Faktor Psikososial dan Distress pada Guru Sekolah Luar Biasa (SLB) di Kota Depok saat Pandemi COVID-19 Tahun 2022
Authors: Hafia Azka
Published: May 2023

Penelitian ini bertujuan untuk memperoleh gambaran faktor psikososial dan distress pada guru SLB di Kota Depok saat pandemi COVID-19 tahun 2022. Penelitian ini menggunakan desain studi cross sectional dengan pendekatan semi kuantitatif melalui pengisian kuesioner dan wawancara. Sejumlah 67 guru SLB di Kota Depok berpartisipasi dalam penelitian ini. Hasil penelitian menunjukkan bahwa 34,3% guru mengalami distress sedang dan 16,4% guru mengalami distress signifikan. Kemudian, ditemukan bahwa distress lebih banyak dialami oleh guru perempuan (52,7%), berumur > 30 tahun (52,4%), berasal dari program studi non-PLB (52,5%), tidak memiliki tipe kepribadian A (66,6%), memiliki masa kerja > 10 tahun (60%), sudah menikah (59,5%), memiliki anak (64,9%), memiliki dukungan sosial buruk dari keluarga (89,3%), memiliki beban kerja tinggi (61,8%), memiliki peralatan kerja buruk (63,9%), memiliki jam kerja buruk (64,3%), memiliki konflik peran tinggi (73,7%), memiliki ambiguitas peran tinggi (76,2%), memiliki kontrol pekerjaan buruk (81,4%), memiliki dukungan sosial yang buruk dari atasan dan rekan kerja (81,4%), memiliki konflik antara pekerjaan dan rumah yang tinggi (86,2%), jarang melakukan hobi (66,7%), dan memiliki ketakutan berat terhadap infeksi COVID-19 (71,4%).
Rapid Access Multidisciplinary Palliative Assessment to Improve Cancer Patient Experience
Authors:   Biomedical Engineering, Nandha Engineering College, Erode, Tamilnadu, India., A Amarnath prabakaran , S Krishna kumar , M Gowtham sundar , S Vivekanandhan , S Vivekanandhan
Published: May 2023

Patients with cancer-induced bone pain often wait weeks to receive palliative radiotherapy treatment and to have an assessment by specialist palliative care services and other allied health professionals (physiotherapy, occupational therapy, dietetics). While waiting, they continue to have psychological distress and potentially debilitating physical problems. The availability of high-speed internet allows the system to monitor the parameters at regular intervals. Furthermore, the cloud platform allows data storage so that previous measurements could be retrieved in the near future. Most patients do not receive adequate care during critical conditions such as different health issues, which is why many suffer during these times. The data of sensors from patient's are communicated through Internet connectivity IOT (Internet of Thing). Patient movement actions such as walking, temperature high, this information will be saved in the database and processed before being returned.
Bio sorption Studies on Textile Effluent Using Packed Bed Reactor with Aspergillus Niger Biomass
Authors:   Food Technology, K. S. Rangasamy College of Technnology, India., S Srinithi Kanishka , R Kiruthika , T Tharani , G Bharath
Published: May 2023

The disposal of effluent is a major source of pollution in water bodies, textile effluent is a problem of major concern in the locale. Adsorption is the adhesion of atoms, ions, or molecules from a gas, liquid, or dissolved solid to a surface. Treatment for textile effluent involves the usage of chemicals to remove dye which is incompetent in removing the heavy metals and other organic matter in the effluent which remains unprocessed. The biosorption studies using Aspergillus niger biomass showed an overall decolorization of around 85% with a metal adsorption rate of 81% which can be feasibly utilized for the ecofriendly treatment of textile effluents Key Word: Adsorption, Biomass, Decolourisation, Eco-friendly
Analysis of Photochemical and Antibacterial Activity of Gooseberry Leaf Extract (Phyllanthus acidus L. Skeels) for Formulation of Fortified Broiler Feed
Authors:   Food Technology, K. S. Rangasamy College of Technnology, India., K Lakshmi Nivashini , S Madhumita , S S Sree Abirami , G Bharath
Published: May 2023

The aim of the research was to assess the phytochemical composition, total flavonoid content and antibacterial activity of Phyllanthus acidus leaf extract (PALE). The study utilized the disc diffusion method to test the in vitro antibacterial properties of the extract against Escherichia coli and Lactic Acid Bacteria. The data collected were analyzed using analysis of variance and significant differences were further analyzed using Duncan's multiple range test. The results of the study showed that PALE contains bio-active compounds such as alkaloids, flavonoids, tannins and steroids. The total flavonoid content was 663.92 µg/ml QE. PALE exhibited statistically significant inhibition zone against both pathogenic and non-pathogenic bacterial species compared to the standard antibiotic zinc bacitracin. The extract at 2% concentration produced the highest inhibition zone compared to the 1.5% and 1% concentrations, but its effect was significantly lower than that of the control antibiotic zinc bacitracin. Based on these findings, it was concluded that PALE has the potential to be used as an antimicrobial feed additive in broilers. However, further research is necessary to investigate its efficacy in vivo and to determine its safety and potential side effects.
Development of Natural Preservative for the Shelf life Extension of Meat Products
Authors:   Food Technology, K. S. Rangasamy College of Technnology, India., S B Abitha , K Shriranjani , T Tharani , G , Bharath
Published: May 2023

To determine the Anti-microbial property of Thyme oil, Apple peel oil, Clove oil, Bar of cassia oil on Lamb meat for longer storage of meat. Usage of essential oil adds nutrition and longer storage of meat. This will reduce the use of sodium nitrate and sodium nitrites, and also decreases the risk of heart disease, diabetic and other chronic diseases. The main objective is to test Anti-microbial property of this natural preservative as an alternative for the commercially existing preservatives. The formulated natural preservative contains naturally occurring compounds which have Anti-microbial properties to prevent the growth of microorganisms. The antioxidant properties of the preservatives help in increase the nutritive value of raw meat in a cost effective and without any artificial preservatives.The formulated natural preservative helps to replace the chemical preservatives used. It implements the nutritional values and also implements the Anti-microbial and antioxidant properties of the Lamb meat. By this the nutritional value, antimicrobial and antioxidant properties of the Lamb meat will be increasing and also helps to increase the shelf life of the Lamb meat. Key Words: Preservatives, Antimicrobial property, Antioxidant, Nutrition value
Provision and administer Cloud Spanner instances and databases
Authors:   Department of Computer Science and Engineering, KSR Institute For Engineering and Technology, Namakkal, Tamil Nadu, India., A Priya dharshini , S Jeevanantham , V Preethi , R Sai Siva Sanjay , A Satheesh Natrayan
Published: May 2023

Managing a large number of databases canbe a daunting task, especially when the databases arecritical to the performance and trustability of theoperations and services they support. In this design, weexplore how Cloud Spanner can be used to streamlinedatabase operations and ameliorate the overallperformance and operation of database structure. Webegin by introducing Cloud Spanner and its crucialfeatures, including its capability to gauge horizontally,its high vacuity, and its SQL support. We also describethe process of designing and creating Cloud Spannerdatabases, including how to define the schema, configureaccess control, and set up covering and waking. We alsobandy advanced features of Cloud Spanner similar aspartitioning, sharing, and secondary indicators, and howthey can be used to optimize query performance andreduce costs. Throughout the design, we validate ourprocess, challenges, and issues, furnishing a case studythat demonstrates the benefits of using Cloud Spannerfor database operations. We show how Cloud Spannercan ameliorate the ease of operation and reduce the totalcost of power of database structure, while also perfectingperformance and trustability. We also give perceptivityand stylish practices that can be useful for otherassociations looking to borrow Cloud Spanner oranalogous pall- grounded database results. Bystreamlining database operations with Cloud Spanner,associations can concentrate on erecting betteroperations and services, rather than spending time andcoffers on managing and maintaining their databases.The benefits of using Cloud Spanner include increasedscalability, high vacuity, and SQL support, as well asreduced costs and bettered ease of operation.
Power Sharing Using Droop Control for Distributed Generators in DC Micro grid
Authors:   Department of Electrical Engineering Rajarambapu Institute of Technology (RIT), Rajaramnagar (Affiliated to Shivaji University, Kolhapur) Sakharale,, Bharti Nitya , A.Metri Rajanikant , L.Bhattar Chandra kant
Published: May 2023

The power sharing control method is a preferred way for integrating many renewable energy sources into the grid and maintaining their synchronized functioning. Power sharing control between dispersed generators are essential for the reliable operation of thepower grid network. In theproposed approach,aDCmicrogrid'spowerfromeachindividualgeneratorissharedusingadroopcontroltechnique.TheprimaryproblemswithPoorcurrentsharinganddropcharacterize the traditional droop approach. Circulatingcurrentissuewillalsoariseduetomismatchintheconvertersoutputvoltages.Thedroopindex(DI),ameasure of merit, is introduced in this study, in order toenhance the efficiency of a DC microgrid. The proposedpower sharing control approach can be broadly used togrid-connected networks and island power grid networksinordertoachievehighdistributionefficiencyandstability. The suggested approach also guarantees voltagestability in a DC microgrid. In a MATLAB/Simulink, thepower sharing control mechanism is created, modelled,and confirmed.
Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation
Authors: Nichyporuk Brennan , Cardinell Jillian , Szeto Justin , Mehta Raghav , Falet Jean-Pierre , Arnold Douglas L. , Tsaftaris Sotirios A. , Arbel Tal
Published: May 2023

Generalization is an important attribute of machine learning models, particularly for those that are to be deployed in a medical context, where unreliable predictions can have real world consequences. While the failure of models to generalize across datasets is typically attributed to a mismatch in the data distributions, performance gaps are often a consequence of biases in the "ground-truth" label annotations. This is particularly important in the context of medical image segmentation of pathological structures (e.g. lesions), where the annotation process is much more subjective, and affected by a number underlying factors, including the annotation protocol, rater education/experience, and clinical aims, among others. In this paper, we show that modeling annotation biases, rather than ignoring them, poses a promising way of accounting for differences in annotation style across datasets. To this end, we propose a generalized conditioning framework to (1) learn and account for different annotation styles across multiple datasets using a single model, (2) identify similar annotation styles across different datasets in order to permit their effective aggregation, and (3) fine-tune a fully trained model to a new annotation style with just a few samples. Next, we present an image-conditioning approach to model annotation styles that correlate with specific image features, potentially enabling detection biases to be more easily identified.
Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised Learning
Authors: Yao Tianyuan , Qu Chang , Long Jun , Liu Quan , Deng Ruining , Tian Yuanhan , Xu Jiachen , Jha Aadarsh , Asad Zuhayr , Bao Shunxing , Zhao Mengyang , Fogo Agnes , Landman Bennett , Yang Haichun , Chang Catie , Huo Yuankai
Published: May 2023

With the rapid development of self-supervised learning (e.g., contrastive learning), the importance of having large-scale images (even without annotations) for training a more generalizable AI model has been widely recognized in medical image analysis. However, collecting large-scale task-specific unannotated data at scale can be challenging for individual labs. Existing online resources, such as digital books, publications, and search engines, provide a new resource for obtaining large-scale images. However, published images in healthcare (e.g., radiology and pathology) consist of a considerable amount of compound figures with subplots. In order to extract and separate compound figures into usable individual images for downstream learning, we propose a simple compound figure separation (SimCFS) framework without using the traditionally required detection bounding box annotations, with a new loss function and a hard case simulation. Our technical contribution is four-fold: (1) we introduce a simulation-based training framework that minimizes the need for resource extensive bounding box annotations; (2) we propose a new side loss that is optimized for compound figure separation; (3) we propose an intra-class image augmentation method to simulate hard cases; and (4) to the best of our knowledge, this is the first study that evaluates the efficacy of leveraging self-supervised learning with compound image separation. From the results, the proposed SimCFS achieved state-of-the-art performance on the ImageCLEF 2016 Compound Figure Separation Database. The pretrained self-supervised learning model using large-scale mined figures improved the accuracy of downstream image classification tasks with a contrastive learning algorithm. The source code of SimCFS is made publicly available at https://github.com/hrlblab/ImageSeperation
Learning the Effect of Registration Hyperparameters with HyperMorph
Authors: Hoopes Andrew , Hoffmann Malte , Greve Douglas N. , Fischl Bruce , Guttag John , Dalca Adrian V.
Published: May 2023

We introduce HyperMorph, a framework that facilitates efficient hyperparameter tuning in learning-based deformable image registration. Classical registration algorithms perform an iterative pair-wise optimization to compute a deformation field that aligns two images. Recent learning-based approaches leverage large image datasets to learn a function that rapidly estimates a deformation for a given image pair. In both strategies, the accuracy of the resulting spatial correspondences is strongly influenced by the choice of certain hyperparameter values. However, an effective hyperparameter search consumes substantial time and human effort as it often involves training multiple models for different fixed hyperparameter values and may lead to suboptimal registration. We propose an amortized hyperparameter learning strategy to alleviate this burden by learning the impact of hyperparameters on deformation fields. We design a meta network, or hypernetwork, that predicts the parameters of a registration network for input hyperparameters, thereby comprising a single model that generates the optimal deformation field corresponding to given hyperparameter values. This strategy enables fast, high-resolution hyperparameter search at test-time, reducing the inefficiency of traditional approaches while increasing flexibility. We also demonstrate additional benefits of HyperMorph, including enhanced robustness to model initialization and the ability to rapidly identify optimal hyperparameter values specific to a dataset, modality, task, or even anatomical region, all without the need to retrain models. We make our code publicly available at http://hypermorph.voxelmorph.net
Evaluation of 3D GANs for Lung Tissue Modelling in Pulmonary CT
Authors: Ellis Sam , Martinez Manzanera Octavio , Baltatzis Vasileios , Nawaz Ibrahim , Nair Arjun , Le Folgoc Loic , Desai Sujal , Glocker Ben , Schnabel Julia A
Published: May 2023

Generative adversarial networks (GANs) are able to model accurately the distribution of complex, high-dimensional datasets, for example images. This characteristic makes high-quality GANs useful for unsupervised anomaly detection in medical imaging. However, differences in training datasets such as output image dimensionality and appearance of semantically meaningful features mean that GAN models from the natural image processing domain may not work 'out-of-the-box' for medical imaging applications, necessitating re-implementation and re-evaluation. In this work we adapt and evaluate three GAN models to the application of modelling 3D healthy image patches for pulmonary CT. To the best of our knowledge, this is the first time that such a detailed evaluation has been performed. The deep convolutional GAN (DCGAN), styleGAN and the bigGAN architectures were selected for investigation due to their ubiquity and high performance in natural image processing. We train different variants of these methods and assess their performance using the widely used Frechet Inception Distance (FID). In addition, the quality of the generated images was evaluated by a human observer study, the ability of the networks to model 3D domain-specific features was investigated, and the structure of the GAN latent spaces was analysed. Results show that the 3D styleGAN approaches produce realistic-looking images with meaningful 3D structure, but suffer from mode collapse which must be explicitly addressed during training to obtain diversity in the samples. Conversely, the 3D DCGAN models show a greater capacity for image variability, but at the cost of poor-quality images. The 3D bigGAN models provide an intermediate level of image quality, but most accurately model the distribution of selected semantically meaningful features. The results suggest that future development is required to realise a 3D GAN with sufficient representational capacity for patch-based lung CT anomaly detection and we offer recommendations for future areas of research, such as experimenting with other architectures and incorporation of position-encoding.
Image quality assessment by overlapping task-specific and task-agnostic measures: application to prostate multiparametric MR images for cancer segmentation
Authors: Saeed Shaheer U. , Yan Wen , Fu Yunguan , Giganti Francesco , Yang Qianye , Baum Zachary M. C. , Rusu Mirabela , Fan Richard E. , Sonn Geoffrey A. , Emberton Mark , Barratt Dean C. , Hu Yipeng
Published: May 2023

Image quality assessment (IQA) in medical imaging can be used to ensure that downstream clinical tasks can be reliably performed. Quantifying the impact of an image on the specific target tasks, also named as task amenability, is needed. A task-specific IQA has recently been proposed to learn an image-amenability-predicting controller simultaneously with a target task predictor. This allows for the trained IQA controller to measure the impact an image has on the target task performance, when this task is performed using the predictor, e.g. segmentation and classification neural networks in modern clinical applications. In this work, we propose an extension to this task-specific IQA approach, by adding a task-agnostic IQA based on auto-encoding as the target task. Analysing the intersection between low-quality images, deemed by both the task-specific and task-agnostic IQA, may help to differentiate the underpinning factors that caused the poor target task performance. For example, common imaging artefacts may not adversely affect the target task, which would lead to a low task-agnostic quality and a high task-specific quality, whilst individual cases considered clinically challenging, which can not be improved by better imaging equipment or protocols, is likely to result in a high task-agnostic quality but a low task-specific quality. We first describe a flexible reward shaping strategy which allows for the adjustment of weighting between task-agnostic and task-specific quality scoring. Furthermore, we evaluate the proposed reinforcement learning algorithm, using a clinically challenging target task of prostate tumour segmentation on multiparametric magnetic resonance (mpMR) images. Based on experimental results using mpMR images from 850 patients, it was found that a) The task-agnostic IQA may identify artefacts, but with limited impact on the accuracy of cancer segmentation networks. A Dice score of 0.367±0.017 was obtained after rejecting 10% of low quality images, compared to 0.354±0.016 from a non-selective baseline; b} The task-specific IQA alone improved the performance to 0.415±0.020, at the same rejection ratio. However, this system indeed rejected both images that impact task performance due to imaging defects and due to being clinically challenging; and c) The proposed reward shaping strategy, when the task-agnostic and task-specific IQA are weighted appropriately, successfully identified samples that need re-acquisition due to defected imaging process, as opposed to clinically challenging cases due to low contrast in pathological tissues or other equivocacy in radiological presentation.
Our code is available at https://github.com/s-sd/task-amenability/tree/v1